(* Title: HOL/Computational_Algebra/Formal_Power_Series.thy
Author: Amine Chaieb, University of Cambridge
*)
section \<open>A formalization of formal power series\<close>
theory Formal_Power_Series
imports
Complex_Main
Euclidean_Algorithm
begin
subsection \<open>The type of formal power series\<close>
typedef 'a fps = "{f :: nat \<Rightarrow> 'a. True}"
morphisms fps_nth Abs_fps
by simp
notation fps_nth (infixl "$" 75)
lemma expand_fps_eq: "p = q \<longleftrightarrow> (\<forall>n. p $ n = q $ n)"
by (simp add: fps_nth_inject [symmetric] fun_eq_iff)
lemma fps_ext: "(\<And>n. p $ n = q $ n) \<Longrightarrow> p = q"
by (simp add: expand_fps_eq)
lemma fps_nth_Abs_fps [simp]: "Abs_fps f $ n = f n"
by (simp add: Abs_fps_inverse)
text \<open>Definition of the basic elements 0 and 1 and the basic operations of addition,
negation and multiplication.\<close>
instantiation fps :: (zero) zero
begin
definition fps_zero_def: "0 = Abs_fps (\<lambda>n. 0)"
instance ..
end
lemma fps_zero_nth [simp]: "0 $ n = 0"
unfolding fps_zero_def by simp
instantiation fps :: ("{one, zero}") one
begin
definition fps_one_def: "1 = Abs_fps (\<lambda>n. if n = 0 then 1 else 0)"
instance ..
end
lemma fps_one_nth [simp]: "1 $ n = (if n = 0 then 1 else 0)"
unfolding fps_one_def by simp
instantiation fps :: (plus) plus
begin
definition fps_plus_def: "op + = (\<lambda>f g. Abs_fps (\<lambda>n. f $ n + g $ n))"
instance ..
end
lemma fps_add_nth [simp]: "(f + g) $ n = f $ n + g $ n"
unfolding fps_plus_def by simp
instantiation fps :: (minus) minus
begin
definition fps_minus_def: "op - = (\<lambda>f g. Abs_fps (\<lambda>n. f $ n - g $ n))"
instance ..
end
lemma fps_sub_nth [simp]: "(f - g) $ n = f $ n - g $ n"
unfolding fps_minus_def by simp
instantiation fps :: (uminus) uminus
begin
definition fps_uminus_def: "uminus = (\<lambda>f. Abs_fps (\<lambda>n. - (f $ n)))"
instance ..
end
lemma fps_neg_nth [simp]: "(- f) $ n = - (f $ n)"
unfolding fps_uminus_def by simp
instantiation fps :: ("{comm_monoid_add, times}") times
begin
definition fps_times_def: "op * = (\<lambda>f g. Abs_fps (\<lambda>n. \<Sum>i=0..n. f $ i * g $ (n - i)))"
instance ..
end
lemma fps_mult_nth: "(f * g) $ n = (\<Sum>i=0..n. f$i * g$(n - i))"
unfolding fps_times_def by simp
lemma fps_mult_nth_0 [simp]: "(f * g) $ 0 = f $ 0 * g $ 0"
unfolding fps_times_def by simp
declare atLeastAtMost_iff [presburger]
declare Bex_def [presburger]
declare Ball_def [presburger]
lemma mult_delta_left:
fixes x y :: "'a::mult_zero"
shows "(if b then x else 0) * y = (if b then x * y else 0)"
by simp
lemma mult_delta_right:
fixes x y :: "'a::mult_zero"
shows "x * (if b then y else 0) = (if b then x * y else 0)"
by simp
lemma cond_value_iff: "f (if b then x else y) = (if b then f x else f y)"
by auto
lemma cond_application_beta: "(if b then f else g) x = (if b then f x else g x)"
by auto
subsection \<open>Formal power series form a commutative ring with unity, if the range of sequences
they represent is a commutative ring with unity\<close>
instance fps :: (semigroup_add) semigroup_add
proof
fix a b c :: "'a fps"
show "a + b + c = a + (b + c)"
by (simp add: fps_ext add.assoc)
qed
instance fps :: (ab_semigroup_add) ab_semigroup_add
proof
fix a b :: "'a fps"
show "a + b = b + a"
by (simp add: fps_ext add.commute)
qed
lemma fps_mult_assoc_lemma:
fixes k :: nat
and f :: "nat \<Rightarrow> nat \<Rightarrow> nat \<Rightarrow> 'a::comm_monoid_add"
shows "(\<Sum>j=0..k. \<Sum>i=0..j. f i (j - i) (n - j)) =
(\<Sum>j=0..k. \<Sum>i=0..k - j. f j i (n - j - i))"
by (induct k) (simp_all add: Suc_diff_le sum.distrib add.assoc)
instance fps :: (semiring_0) semigroup_mult
proof
fix a b c :: "'a fps"
show "(a * b) * c = a * (b * c)"
proof (rule fps_ext)
fix n :: nat
have "(\<Sum>j=0..n. \<Sum>i=0..j. a$i * b$(j - i) * c$(n - j)) =
(\<Sum>j=0..n. \<Sum>i=0..n - j. a$j * b$i * c$(n - j - i))"
by (rule fps_mult_assoc_lemma)
then show "((a * b) * c) $ n = (a * (b * c)) $ n"
by (simp add: fps_mult_nth sum_distrib_left sum_distrib_right mult.assoc)
qed
qed
lemma fps_mult_commute_lemma:
fixes n :: nat
and f :: "nat \<Rightarrow> nat \<Rightarrow> 'a::comm_monoid_add"
shows "(\<Sum>i=0..n. f i (n - i)) = (\<Sum>i=0..n. f (n - i) i)"
by (rule sum.reindex_bij_witness[where i="op - n" and j="op - n"]) auto
instance fps :: (comm_semiring_0) ab_semigroup_mult
proof
fix a b :: "'a fps"
show "a * b = b * a"
proof (rule fps_ext)
fix n :: nat
have "(\<Sum>i=0..n. a$i * b$(n - i)) = (\<Sum>i=0..n. a$(n - i) * b$i)"
by (rule fps_mult_commute_lemma)
then show "(a * b) $ n = (b * a) $ n"
by (simp add: fps_mult_nth mult.commute)
qed
qed
instance fps :: (monoid_add) monoid_add
proof
fix a :: "'a fps"
show "0 + a = a" by (simp add: fps_ext)
show "a + 0 = a" by (simp add: fps_ext)
qed
instance fps :: (comm_monoid_add) comm_monoid_add
proof
fix a :: "'a fps"
show "0 + a = a" by (simp add: fps_ext)
qed
instance fps :: (semiring_1) monoid_mult
proof
fix a :: "'a fps"
show "1 * a = a"
by (simp add: fps_ext fps_mult_nth mult_delta_left sum.delta)
show "a * 1 = a"
by (simp add: fps_ext fps_mult_nth mult_delta_right sum.delta')
qed
instance fps :: (cancel_semigroup_add) cancel_semigroup_add
proof
fix a b c :: "'a fps"
show "b = c" if "a + b = a + c"
using that by (simp add: expand_fps_eq)
show "b = c" if "b + a = c + a"
using that by (simp add: expand_fps_eq)
qed
instance fps :: (cancel_ab_semigroup_add) cancel_ab_semigroup_add
proof
fix a b c :: "'a fps"
show "a + b - a = b"
by (simp add: expand_fps_eq)
show "a - b - c = a - (b + c)"
by (simp add: expand_fps_eq diff_diff_eq)
qed
instance fps :: (cancel_comm_monoid_add) cancel_comm_monoid_add ..
instance fps :: (group_add) group_add
proof
fix a b :: "'a fps"
show "- a + a = 0" by (simp add: fps_ext)
show "a + - b = a - b" by (simp add: fps_ext)
qed
instance fps :: (ab_group_add) ab_group_add
proof
fix a b :: "'a fps"
show "- a + a = 0" by (simp add: fps_ext)
show "a - b = a + - b" by (simp add: fps_ext)
qed
instance fps :: (zero_neq_one) zero_neq_one
by standard (simp add: expand_fps_eq)
instance fps :: (semiring_0) semiring
proof
fix a b c :: "'a fps"
show "(a + b) * c = a * c + b * c"
by (simp add: expand_fps_eq fps_mult_nth distrib_right sum.distrib)
show "a * (b + c) = a * b + a * c"
by (simp add: expand_fps_eq fps_mult_nth distrib_left sum.distrib)
qed
instance fps :: (semiring_0) semiring_0
proof
fix a :: "'a fps"
show "0 * a = 0"
by (simp add: fps_ext fps_mult_nth)
show "a * 0 = 0"
by (simp add: fps_ext fps_mult_nth)
qed
instance fps :: (semiring_0_cancel) semiring_0_cancel ..
instance fps :: (semiring_1) semiring_1 ..
subsection \<open>Selection of the nth power of the implicit variable in the infinite sum\<close>
lemma fps_square_nth: "(f^2) $ n = (\<Sum>k\<le>n. f $ k * f $ (n - k))"
by (simp add: power2_eq_square fps_mult_nth atLeast0AtMost)
lemma fps_nonzero_nth: "f \<noteq> 0 \<longleftrightarrow> (\<exists> n. f $n \<noteq> 0)"
by (simp add: expand_fps_eq)
lemma fps_nonzero_nth_minimal: "f \<noteq> 0 \<longleftrightarrow> (\<exists>n. f $ n \<noteq> 0 \<and> (\<forall>m < n. f $ m = 0))"
(is "?lhs \<longleftrightarrow> ?rhs")
proof
let ?n = "LEAST n. f $ n \<noteq> 0"
show ?rhs if ?lhs
proof -
from that have "\<exists>n. f $ n \<noteq> 0"
by (simp add: fps_nonzero_nth)
then have "f $ ?n \<noteq> 0"
by (rule LeastI_ex)
moreover have "\<forall>m<?n. f $ m = 0"
by (auto dest: not_less_Least)
ultimately have "f $ ?n \<noteq> 0 \<and> (\<forall>m<?n. f $ m = 0)" ..
then show ?thesis ..
qed
show ?lhs if ?rhs
using that by (auto simp add: expand_fps_eq)
qed
lemma fps_eq_iff: "f = g \<longleftrightarrow> (\<forall>n. f $ n = g $n)"
by (rule expand_fps_eq)
lemma fps_sum_nth: "sum f S $ n = sum (\<lambda>k. (f k) $ n) S"
proof (cases "finite S")
case True
then show ?thesis by (induct set: finite) auto
next
case False
then show ?thesis by simp
qed
subsection \<open>Injection of the basic ring elements and multiplication by scalars\<close>
definition "fps_const c = Abs_fps (\<lambda>n. if n = 0 then c else 0)"
lemma fps_nth_fps_const [simp]: "fps_const c $ n = (if n = 0 then c else 0)"
unfolding fps_const_def by simp
lemma fps_const_0_eq_0 [simp]: "fps_const 0 = 0"
by (simp add: fps_ext)
lemma fps_const_1_eq_1 [simp]: "fps_const 1 = 1"
by (simp add: fps_ext)
lemma fps_const_neg [simp]: "- (fps_const (c::'a::ring)) = fps_const (- c)"
by (simp add: fps_ext)
lemma fps_const_add [simp]: "fps_const (c::'a::monoid_add) + fps_const d = fps_const (c + d)"
by (simp add: fps_ext)
lemma fps_const_sub [simp]: "fps_const (c::'a::group_add) - fps_const d = fps_const (c - d)"
by (simp add: fps_ext)
lemma fps_const_mult[simp]: "fps_const (c::'a::ring) * fps_const d = fps_const (c * d)"
by (simp add: fps_eq_iff fps_mult_nth sum.neutral)
lemma fps_const_add_left: "fps_const (c::'a::monoid_add) + f =
Abs_fps (\<lambda>n. if n = 0 then c + f$0 else f$n)"
by (simp add: fps_ext)
lemma fps_const_add_right: "f + fps_const (c::'a::monoid_add) =
Abs_fps (\<lambda>n. if n = 0 then f$0 + c else f$n)"
by (simp add: fps_ext)
lemma fps_const_mult_left: "fps_const (c::'a::semiring_0) * f = Abs_fps (\<lambda>n. c * f$n)"
unfolding fps_eq_iff fps_mult_nth
by (simp add: fps_const_def mult_delta_left sum.delta)
lemma fps_const_mult_right: "f * fps_const (c::'a::semiring_0) = Abs_fps (\<lambda>n. f$n * c)"
unfolding fps_eq_iff fps_mult_nth
by (simp add: fps_const_def mult_delta_right sum.delta')
lemma fps_mult_left_const_nth [simp]: "(fps_const (c::'a::semiring_1) * f)$n = c* f$n"
by (simp add: fps_mult_nth mult_delta_left sum.delta)
lemma fps_mult_right_const_nth [simp]: "(f * fps_const (c::'a::semiring_1))$n = f$n * c"
by (simp add: fps_mult_nth mult_delta_right sum.delta')
subsection \<open>Formal power series form an integral domain\<close>
instance fps :: (ring) ring ..
instance fps :: (ring_1) ring_1
by (intro_classes, auto simp add: distrib_right)
instance fps :: (comm_ring_1) comm_ring_1
by (intro_classes, auto simp add: distrib_right)
instance fps :: (ring_no_zero_divisors) ring_no_zero_divisors
proof
fix a b :: "'a fps"
assume "a \<noteq> 0" and "b \<noteq> 0"
then obtain i j where i: "a $ i \<noteq> 0" "\<forall>k<i. a $ k = 0" and j: "b $ j \<noteq> 0" "\<forall>k<j. b $ k =0"
unfolding fps_nonzero_nth_minimal
by blast+
have "(a * b) $ (i + j) = (\<Sum>k=0..i+j. a $ k * b $ (i + j - k))"
by (rule fps_mult_nth)
also have "\<dots> = (a $ i * b $ (i + j - i)) + (\<Sum>k\<in>{0..i+j} - {i}. a $ k * b $ (i + j - k))"
by (rule sum.remove) simp_all
also have "(\<Sum>k\<in>{0..i+j}-{i}. a $ k * b $ (i + j - k)) = 0"
proof (rule sum.neutral [rule_format])
fix k assume "k \<in> {0..i+j} - {i}"
then have "k < i \<or> i+j-k < j"
by auto
then show "a $ k * b $ (i + j - k) = 0"
using i j by auto
qed
also have "a $ i * b $ (i + j - i) + 0 = a $ i * b $ j"
by simp
also have "a $ i * b $ j \<noteq> 0"
using i j by simp
finally have "(a*b) $ (i+j) \<noteq> 0" .
then show "a * b \<noteq> 0"
unfolding fps_nonzero_nth by blast
qed
instance fps :: (ring_1_no_zero_divisors) ring_1_no_zero_divisors ..
instance fps :: (idom) idom ..
lemma numeral_fps_const: "numeral k = fps_const (numeral k)"
by (induct k) (simp_all only: numeral.simps fps_const_1_eq_1
fps_const_add [symmetric])
lemma neg_numeral_fps_const:
"(- numeral k :: 'a :: ring_1 fps) = fps_const (- numeral k)"
by (simp add: numeral_fps_const)
lemma fps_numeral_nth: "numeral n $ i = (if i = 0 then numeral n else 0)"
by (simp add: numeral_fps_const)
lemma fps_numeral_nth_0 [simp]: "numeral n $ 0 = numeral n"
by (simp add: numeral_fps_const)
lemma fps_of_nat: "fps_const (of_nat c) = of_nat c"
by (induction c) (simp_all add: fps_const_add [symmetric] del: fps_const_add)
lemma numeral_neq_fps_zero [simp]: "(numeral f :: 'a :: field_char_0 fps) \<noteq> 0"
proof
assume "numeral f = (0 :: 'a fps)"
from arg_cong[of _ _ "\<lambda>F. F $ 0", OF this] show False by simp
qed
subsection \<open>The efps_Xtractor series fps_X\<close>
lemma minus_one_power_iff: "(- (1::'a::comm_ring_1)) ^ n = (if even n then 1 else - 1)"
by (induct n) auto
definition "fps_X = Abs_fps (\<lambda>n. if n = 1 then 1 else 0)"
lemma fps_X_mult_nth [simp]:
"(fps_X * (f :: 'a::semiring_1 fps)) $n = (if n = 0 then 0 else f $ (n - 1))"
proof (cases "n = 0")
case False
have "(fps_X * f) $n = (\<Sum>i = 0..n. fps_X $ i * f $ (n - i))"
by (simp add: fps_mult_nth)
also have "\<dots> = f $ (n - 1)"
using False by (simp add: fps_X_def mult_delta_left sum.delta)
finally show ?thesis
using False by simp
next
case True
then show ?thesis
by (simp add: fps_mult_nth fps_X_def)
qed
lemma fps_X_mult_right_nth[simp]:
"((a::'a::semiring_1 fps) * fps_X) $ n = (if n = 0 then 0 else a $ (n - 1))"
proof -
have "(a * fps_X) $ n = (\<Sum>i = 0..n. a $ i * (if n - i = Suc 0 then 1 else 0))"
by (simp add: fps_times_def fps_X_def)
also have "\<dots> = (\<Sum>i = 0..n. if i = n - 1 then if n = 0 then 0 else a $ i else 0)"
by (intro sum.cong) auto
also have "\<dots> = (if n = 0 then 0 else a $ (n - 1))" by (simp add: sum.delta)
finally show ?thesis .
qed
lemma fps_mult_fps_X_commute: "fps_X * (a :: 'a :: semiring_1 fps) = a * fps_X"
by (simp add: fps_eq_iff)
lemma fps_X_power_iff: "fps_X ^ n = Abs_fps (\<lambda>m. if m = n then 1 else 0)"
by (induction n) (auto simp: fps_eq_iff)
lemma fps_X_nth[simp]: "fps_X$n = (if n = 1 then 1 else 0)"
by (simp add: fps_X_def)
lemma fps_X_power_nth[simp]: "(fps_X^k) $n = (if n = k then 1 else 0::'a::comm_ring_1)"
by (simp add: fps_X_power_iff)
lemma fps_X_power_mult_nth: "(fps_X^k * (f :: 'a::comm_ring_1 fps)) $n = (if n < k then 0 else f $ (n - k))"
apply (induct k arbitrary: n)
apply simp
unfolding power_Suc mult.assoc
apply (case_tac n)
apply auto
done
lemma fps_X_power_mult_right_nth:
"((f :: 'a::comm_ring_1 fps) * fps_X^k) $n = (if n < k then 0 else f $ (n - k))"
by (metis fps_X_power_mult_nth mult.commute)
lemma fps_X_neq_fps_const [simp]: "(fps_X :: 'a :: zero_neq_one fps) \<noteq> fps_const c"
proof
assume "(fps_X::'a fps) = fps_const (c::'a)"
hence "fps_X$1 = (fps_const (c::'a))$1" by (simp only:)
thus False by auto
qed
lemma fps_X_neq_zero [simp]: "(fps_X :: 'a :: zero_neq_one fps) \<noteq> 0"
by (simp only: fps_const_0_eq_0[symmetric] fps_X_neq_fps_const) simp
lemma fps_X_neq_one [simp]: "(fps_X :: 'a :: zero_neq_one fps) \<noteq> 1"
by (simp only: fps_const_1_eq_1[symmetric] fps_X_neq_fps_const) simp
lemma fps_X_neq_numeral [simp]: "(fps_X :: 'a :: {semiring_1,zero_neq_one} fps) \<noteq> numeral c"
by (simp only: numeral_fps_const fps_X_neq_fps_const) simp
lemma fps_X_pow_eq_fps_X_pow_iff [simp]:
"(fps_X :: ('a :: {comm_ring_1}) fps) ^ m = fps_X ^ n \<longleftrightarrow> m = n"
proof
assume "(fps_X :: 'a fps) ^ m = fps_X ^ n"
hence "(fps_X :: 'a fps) ^ m $ m = fps_X ^ n $ m" by (simp only:)
thus "m = n" by (simp split: if_split_asm)
qed simp_all
subsection \<open>Subdegrees\<close>
definition subdegree :: "('a::zero) fps \<Rightarrow> nat" where
"subdegree f = (if f = 0 then 0 else LEAST n. f$n \<noteq> 0)"
lemma subdegreeI:
assumes "f $ d \<noteq> 0" and "\<And>i. i < d \<Longrightarrow> f $ i = 0"
shows "subdegree f = d"
proof-
from assms(1) have "f \<noteq> 0" by auto
moreover from assms(1) have "(LEAST i. f $ i \<noteq> 0) = d"
proof (rule Least_equality)
fix e assume "f $ e \<noteq> 0"
with assms(2) have "\<not>(e < d)" by blast
thus "e \<ge> d" by simp
qed
ultimately show ?thesis unfolding subdegree_def by simp
qed
lemma nth_subdegree_nonzero [simp,intro]: "f \<noteq> 0 \<Longrightarrow> f $ subdegree f \<noteq> 0"
proof-
assume "f \<noteq> 0"
hence "subdegree f = (LEAST n. f $ n \<noteq> 0)" by (simp add: subdegree_def)
also from \<open>f \<noteq> 0\<close> have "\<exists>n. f$n \<noteq> 0" using fps_nonzero_nth by blast
from LeastI_ex[OF this] have "f $ (LEAST n. f $ n \<noteq> 0) \<noteq> 0" .
finally show ?thesis .
qed
lemma nth_less_subdegree_zero [dest]: "n < subdegree f \<Longrightarrow> f $ n = 0"
proof (cases "f = 0")
assume "f \<noteq> 0" and less: "n < subdegree f"
note less
also from \<open>f \<noteq> 0\<close> have "subdegree f = (LEAST n. f $ n \<noteq> 0)" by (simp add: subdegree_def)
finally show "f $ n = 0" using not_less_Least by blast
qed simp_all
lemma subdegree_geI:
assumes "f \<noteq> 0" "\<And>i. i < n \<Longrightarrow> f$i = 0"
shows "subdegree f \<ge> n"
proof (rule ccontr)
assume "\<not>(subdegree f \<ge> n)"
with assms(2) have "f $ subdegree f = 0" by simp
moreover from assms(1) have "f $ subdegree f \<noteq> 0" by simp
ultimately show False by contradiction
qed
lemma subdegree_greaterI:
assumes "f \<noteq> 0" "\<And>i. i \<le> n \<Longrightarrow> f$i = 0"
shows "subdegree f > n"
proof (rule ccontr)
assume "\<not>(subdegree f > n)"
with assms(2) have "f $ subdegree f = 0" by simp
moreover from assms(1) have "f $ subdegree f \<noteq> 0" by simp
ultimately show False by contradiction
qed
lemma subdegree_leI:
"f $ n \<noteq> 0 \<Longrightarrow> subdegree f \<le> n"
by (rule leI) auto
lemma subdegree_0 [simp]: "subdegree 0 = 0"
by (simp add: subdegree_def)
lemma subdegree_1 [simp]: "subdegree (1 :: ('a :: zero_neq_one) fps) = 0"
by (auto intro!: subdegreeI)
lemma subdegree_fps_X [simp]: "subdegree (fps_X :: ('a :: zero_neq_one) fps) = 1"
by (auto intro!: subdegreeI simp: fps_X_def)
lemma subdegree_fps_const [simp]: "subdegree (fps_const c) = 0"
by (cases "c = 0") (auto intro!: subdegreeI)
lemma subdegree_numeral [simp]: "subdegree (numeral n) = 0"
by (simp add: numeral_fps_const)
lemma subdegree_eq_0_iff: "subdegree f = 0 \<longleftrightarrow> f = 0 \<or> f $ 0 \<noteq> 0"
proof (cases "f = 0")
assume "f \<noteq> 0"
thus ?thesis
using nth_subdegree_nonzero[OF \<open>f \<noteq> 0\<close>] by (fastforce intro!: subdegreeI)
qed simp_all
lemma subdegree_eq_0 [simp]: "f $ 0 \<noteq> 0 \<Longrightarrow> subdegree f = 0"
by (simp add: subdegree_eq_0_iff)
lemma nth_subdegree_mult [simp]:
fixes f g :: "('a :: {mult_zero,comm_monoid_add}) fps"
shows "(f * g) $ (subdegree f + subdegree g) = f $ subdegree f * g $ subdegree g"
proof-
let ?n = "subdegree f + subdegree g"
have "(f * g) $ ?n = (\<Sum>i=0..?n. f$i * g$(?n-i))"
by (simp add: fps_mult_nth)
also have "... = (\<Sum>i=0..?n. if i = subdegree f then f$i * g$(?n-i) else 0)"
proof (intro sum.cong)
fix x assume x: "x \<in> {0..?n}"
hence "x = subdegree f \<or> x < subdegree f \<or> ?n - x < subdegree g" by auto
thus "f $ x * g $ (?n - x) = (if x = subdegree f then f $ x * g $ (?n - x) else 0)"
by (elim disjE conjE) auto
qed auto
also have "... = f $ subdegree f * g $ subdegree g" by (simp add: sum.delta)
finally show ?thesis .
qed
lemma subdegree_mult [simp]:
assumes "f \<noteq> 0" "g \<noteq> 0"
shows "subdegree ((f :: ('a :: {ring_no_zero_divisors}) fps) * g) = subdegree f + subdegree g"
proof (rule subdegreeI)
let ?n = "subdegree f + subdegree g"
have "(f * g) $ ?n = (\<Sum>i=0..?n. f$i * g$(?n-i))" by (simp add: fps_mult_nth)
also have "... = (\<Sum>i=0..?n. if i = subdegree f then f$i * g$(?n-i) else 0)"
proof (intro sum.cong)
fix x assume x: "x \<in> {0..?n}"
hence "x = subdegree f \<or> x < subdegree f \<or> ?n - x < subdegree g" by auto
thus "f $ x * g $ (?n - x) = (if x = subdegree f then f $ x * g $ (?n - x) else 0)"
by (elim disjE conjE) auto
qed auto
also have "... = f $ subdegree f * g $ subdegree g" by (simp add: sum.delta)
also from assms have "... \<noteq> 0" by auto
finally show "(f * g) $ (subdegree f + subdegree g) \<noteq> 0" .
next
fix m assume m: "m < subdegree f + subdegree g"
have "(f * g) $ m = (\<Sum>i=0..m. f$i * g$(m-i))" by (simp add: fps_mult_nth)
also have "... = (\<Sum>i=0..m. 0)"
proof (rule sum.cong)
fix i assume "i \<in> {0..m}"
with m have "i < subdegree f \<or> m - i < subdegree g" by auto
thus "f$i * g$(m-i) = 0" by (elim disjE) auto
qed auto
finally show "(f * g) $ m = 0" by simp
qed
lemma subdegree_power [simp]:
"subdegree ((f :: ('a :: ring_1_no_zero_divisors) fps) ^ n) = n * subdegree f"
by (cases "f = 0"; induction n) simp_all
lemma subdegree_uminus [simp]:
"subdegree (-(f::('a::group_add) fps)) = subdegree f"
by (simp add: subdegree_def)
lemma subdegree_minus_commute [simp]:
"subdegree (f-(g::('a::group_add) fps)) = subdegree (g - f)"
proof -
have "f - g = -(g - f)" by simp
also have "subdegree ... = subdegree (g - f)" by (simp only: subdegree_uminus)
finally show ?thesis .
qed
lemma subdegree_add_ge:
assumes "f \<noteq> -(g :: ('a :: {group_add}) fps)"
shows "subdegree (f + g) \<ge> min (subdegree f) (subdegree g)"
proof (rule subdegree_geI)
from assms show "f + g \<noteq> 0" by (subst (asm) eq_neg_iff_add_eq_0)
next
fix i assume "i < min (subdegree f) (subdegree g)"
hence "f $ i = 0" and "g $ i = 0" by auto
thus "(f + g) $ i = 0" by force
qed
lemma subdegree_add_eq1:
assumes "f \<noteq> 0"
assumes "subdegree f < subdegree (g :: ('a :: {group_add}) fps)"
shows "subdegree (f + g) = subdegree f"
proof (rule antisym[OF subdegree_leI])
from assms show "subdegree (f + g) \<ge> subdegree f"
by (intro order.trans[OF min.boundedI subdegree_add_ge]) auto
from assms have "f $ subdegree f \<noteq> 0" "g $ subdegree f = 0" by auto
thus "(f + g) $ subdegree f \<noteq> 0" by simp
qed
lemma subdegree_add_eq2:
assumes "g \<noteq> 0"
assumes "subdegree g < subdegree (f :: ('a :: {ab_group_add}) fps)"
shows "subdegree (f + g) = subdegree g"
using subdegree_add_eq1[OF assms] by (simp add: add.commute)
lemma subdegree_diff_eq1:
assumes "f \<noteq> 0"
assumes "subdegree f < subdegree (g :: ('a :: {ab_group_add}) fps)"
shows "subdegree (f - g) = subdegree f"
using subdegree_add_eq1[of f "-g"] assms by (simp add: add.commute)
lemma subdegree_diff_eq2:
assumes "g \<noteq> 0"
assumes "subdegree g < subdegree (f :: ('a :: {ab_group_add}) fps)"
shows "subdegree (f - g) = subdegree g"
using subdegree_add_eq2[of "-g" f] assms by (simp add: add.commute)
lemma subdegree_diff_ge [simp]:
assumes "f \<noteq> (g :: ('a :: {group_add}) fps)"
shows "subdegree (f - g) \<ge> min (subdegree f) (subdegree g)"
using assms subdegree_add_ge[of f "-g"] by simp
subsection \<open>Shifting and slicing\<close>
definition fps_shift :: "nat \<Rightarrow> 'a fps \<Rightarrow> 'a fps" where
"fps_shift n f = Abs_fps (\<lambda>i. f $ (i + n))"
lemma fps_shift_nth [simp]: "fps_shift n f $ i = f $ (i + n)"
by (simp add: fps_shift_def)
lemma fps_shift_0 [simp]: "fps_shift 0 f = f"
by (intro fps_ext) (simp add: fps_shift_def)
lemma fps_shift_zero [simp]: "fps_shift n 0 = 0"
by (intro fps_ext) (simp add: fps_shift_def)
lemma fps_shift_one: "fps_shift n 1 = (if n = 0 then 1 else 0)"
by (intro fps_ext) (simp add: fps_shift_def)
lemma fps_shift_fps_const: "fps_shift n (fps_const c) = (if n = 0 then fps_const c else 0)"
by (intro fps_ext) (simp add: fps_shift_def)
lemma fps_shift_numeral: "fps_shift n (numeral c) = (if n = 0 then numeral c else 0)"
by (simp add: numeral_fps_const fps_shift_fps_const)
lemma fps_shift_fps_X_power [simp]:
"n \<le> m \<Longrightarrow> fps_shift n (fps_X ^ m) = (fps_X ^ (m - n) ::'a::comm_ring_1 fps)"
by (intro fps_ext) (auto simp: fps_shift_def )
lemma fps_shift_times_fps_X_power:
"n \<le> subdegree f \<Longrightarrow> fps_shift n f * fps_X ^ n = (f :: 'a :: comm_ring_1 fps)"
by (intro fps_ext) (auto simp: fps_X_power_mult_right_nth nth_less_subdegree_zero)
lemma fps_shift_times_fps_X_power' [simp]:
"fps_shift n (f * fps_X^n) = (f :: 'a :: comm_ring_1 fps)"
by (intro fps_ext) (auto simp: fps_X_power_mult_right_nth nth_less_subdegree_zero)
lemma fps_shift_times_fps_X_power'':
"m \<le> n \<Longrightarrow> fps_shift n (f * fps_X^m) = fps_shift (n - m) (f :: 'a :: comm_ring_1 fps)"
by (intro fps_ext) (auto simp: fps_X_power_mult_right_nth nth_less_subdegree_zero)
lemma fps_shift_subdegree [simp]:
"n \<le> subdegree f \<Longrightarrow> subdegree (fps_shift n f) = subdegree (f :: 'a :: comm_ring_1 fps) - n"
by (cases "f = 0") (force intro: nth_less_subdegree_zero subdegreeI)+
lemma subdegree_decompose:
"f = fps_shift (subdegree f) f * fps_X ^ subdegree (f :: ('a :: comm_ring_1) fps)"
by (rule fps_ext) (auto simp: fps_X_power_mult_right_nth)
lemma subdegree_decompose':
"n \<le> subdegree (f :: ('a :: comm_ring_1) fps) \<Longrightarrow> f = fps_shift n f * fps_X^n"
by (rule fps_ext) (auto simp: fps_X_power_mult_right_nth intro!: nth_less_subdegree_zero)
lemma fps_shift_fps_shift:
"fps_shift (m + n) f = fps_shift m (fps_shift n f)"
by (rule fps_ext) (simp add: add_ac)
lemma fps_shift_add:
"fps_shift n (f + g) = fps_shift n f + fps_shift n g"
by (simp add: fps_eq_iff)
lemma fps_shift_mult:
assumes "n \<le> subdegree (g :: 'b :: {comm_ring_1} fps)"
shows "fps_shift n (h*g) = h * fps_shift n g"
proof -
from assms have "g = fps_shift n g * fps_X^n" by (rule subdegree_decompose')
also have "h * ... = (h * fps_shift n g) * fps_X^n" by simp
also have "fps_shift n ... = h * fps_shift n g" by simp
finally show ?thesis .
qed
lemma fps_shift_mult_right:
assumes "n \<le> subdegree (g :: 'b :: {comm_ring_1} fps)"
shows "fps_shift n (g*h) = h * fps_shift n g"
by (subst mult.commute, subst fps_shift_mult) (simp_all add: assms)
lemma nth_subdegree_zero_iff [simp]: "f $ subdegree f = 0 \<longleftrightarrow> f = 0"
by (cases "f = 0") auto
lemma fps_shift_subdegree_zero_iff [simp]:
"fps_shift (subdegree f) f = 0 \<longleftrightarrow> f = 0"
by (subst (1) nth_subdegree_zero_iff[symmetric], cases "f = 0")
(simp_all del: nth_subdegree_zero_iff)
definition "fps_cutoff n f = Abs_fps (\<lambda>i. if i < n then f$i else 0)"
lemma fps_cutoff_nth [simp]: "fps_cutoff n f $ i = (if i < n then f$i else 0)"
unfolding fps_cutoff_def by simp
lemma fps_cutoff_zero_iff: "fps_cutoff n f = 0 \<longleftrightarrow> (f = 0 \<or> n \<le> subdegree f)"
proof
assume A: "fps_cutoff n f = 0"
thus "f = 0 \<or> n \<le> subdegree f"
proof (cases "f = 0")
assume "f \<noteq> 0"
with A have "n \<le> subdegree f"
by (intro subdegree_geI) (auto simp: fps_eq_iff split: if_split_asm)
thus ?thesis ..
qed simp
qed (auto simp: fps_eq_iff intro: nth_less_subdegree_zero)
lemma fps_cutoff_0 [simp]: "fps_cutoff 0 f = 0"
by (simp add: fps_eq_iff)
lemma fps_cutoff_zero [simp]: "fps_cutoff n 0 = 0"
by (simp add: fps_eq_iff)
lemma fps_cutoff_one: "fps_cutoff n 1 = (if n = 0 then 0 else 1)"
by (simp add: fps_eq_iff)
lemma fps_cutoff_fps_const: "fps_cutoff n (fps_const c) = (if n = 0 then 0 else fps_const c)"
by (simp add: fps_eq_iff)
lemma fps_cutoff_numeral: "fps_cutoff n (numeral c) = (if n = 0 then 0 else numeral c)"
by (simp add: numeral_fps_const fps_cutoff_fps_const)
lemma fps_shift_cutoff:
"fps_shift n (f :: ('a :: comm_ring_1) fps) * fps_X^n + fps_cutoff n f = f"
by (simp add: fps_eq_iff fps_X_power_mult_right_nth)
subsection \<open>Formal Power series form a metric space\<close>
instantiation fps :: (comm_ring_1) dist
begin
definition
dist_fps_def: "dist (a :: 'a fps) b = (if a = b then 0 else inverse (2 ^ subdegree (a - b)))"
lemma dist_fps_ge0: "dist (a :: 'a fps) b \<ge> 0"
by (simp add: dist_fps_def)
lemma dist_fps_sym: "dist (a :: 'a fps) b = dist b a"
by (simp add: dist_fps_def)
instance ..
end
instantiation fps :: (comm_ring_1) metric_space
begin
definition uniformity_fps_def [code del]:
"(uniformity :: ('a fps \<times> 'a fps) filter) = (INF e:{0 <..}. principal {(x, y). dist x y < e})"
definition open_fps_def' [code del]:
"open (U :: 'a fps set) \<longleftrightarrow> (\<forall>x\<in>U. eventually (\<lambda>(x', y). x' = x \<longrightarrow> y \<in> U) uniformity)"
instance
proof
show th: "dist a b = 0 \<longleftrightarrow> a = b" for a b :: "'a fps"
by (simp add: dist_fps_def split: if_split_asm)
then have th'[simp]: "dist a a = 0" for a :: "'a fps" by simp
fix a b c :: "'a fps"
consider "a = b" | "c = a \<or> c = b" | "a \<noteq> b" "a \<noteq> c" "b \<noteq> c" by blast
then show "dist a b \<le> dist a c + dist b c"
proof cases
case 1
then show ?thesis by (simp add: dist_fps_def)
next
case 2
then show ?thesis
by (cases "c = a") (simp_all add: th dist_fps_sym)
next
case neq: 3
have False if "dist a b > dist a c + dist b c"
proof -
let ?n = "subdegree (a - b)"
from neq have "dist a b > 0" "dist b c > 0" and "dist a c > 0" by (simp_all add: dist_fps_def)
with that have "dist a b > dist a c" and "dist a b > dist b c" by simp_all
with neq have "?n < subdegree (a - c)" and "?n < subdegree (b - c)"
by (simp_all add: dist_fps_def field_simps)
hence "(a - c) $ ?n = 0" and "(b - c) $ ?n = 0"
by (simp_all only: nth_less_subdegree_zero)
hence "(a - b) $ ?n = 0" by simp
moreover from neq have "(a - b) $ ?n \<noteq> 0" by (intro nth_subdegree_nonzero) simp_all
ultimately show False by contradiction
qed
thus ?thesis by (auto simp add: not_le[symmetric])
qed
qed (rule open_fps_def' uniformity_fps_def)+
end
declare uniformity_Abort[where 'a="'a :: comm_ring_1 fps", code]
lemma open_fps_def: "open (S :: 'a::comm_ring_1 fps set) = (\<forall>a \<in> S. \<exists>r. r >0 \<and> {y. dist y a < r} \<subseteq> S)"
unfolding open_dist subset_eq by simp
text \<open>The infinite sums and justification of the notation in textbooks.\<close>
lemma reals_power_lt_ex:
fixes x y :: real
assumes xp: "x > 0"
and y1: "y > 1"
shows "\<exists>k>0. (1/y)^k < x"
proof -
have yp: "y > 0"
using y1 by simp
from reals_Archimedean2[of "max 0 (- log y x) + 1"]
obtain k :: nat where k: "real k > max 0 (- log y x) + 1"
by blast
from k have kp: "k > 0"
by simp
from k have "real k > - log y x"
by simp
then have "ln y * real k > - ln x"
unfolding log_def
using ln_gt_zero_iff[OF yp] y1
by (simp add: minus_divide_left field_simps del: minus_divide_left[symmetric])
then have "ln y * real k + ln x > 0"
by simp
then have "exp (real k * ln y + ln x) > exp 0"
by (simp add: ac_simps)
then have "y ^ k * x > 1"
unfolding exp_zero exp_add exp_of_nat_mult exp_ln [OF xp] exp_ln [OF yp]
by simp
then have "x > (1 / y)^k" using yp
by (simp add: field_simps)
then show ?thesis
using kp by blast
qed
lemma fps_sum_rep_nth: "(sum (\<lambda>i. fps_const(a$i)*fps_X^i) {0..m})$n =
(if n \<le> m then a$n else 0::'a::comm_ring_1)"
by (auto simp add: fps_sum_nth cond_value_iff cong del: if_weak_cong)
lemma fps_notation: "(\<lambda>n. sum (\<lambda>i. fps_const(a$i) * fps_X^i) {0..n}) \<longlonglongrightarrow> a"
(is "?s \<longlonglongrightarrow> a")
proof -
have "\<exists>n0. \<forall>n \<ge> n0. dist (?s n) a < r" if "r > 0" for r
proof -
obtain n0 where n0: "(1/2)^n0 < r" "n0 > 0"
using reals_power_lt_ex[OF \<open>r > 0\<close>, of 2] by auto
show ?thesis
proof -
have "dist (?s n) a < r" if nn0: "n \<ge> n0" for n
proof -
from that have thnn0: "(1/2)^n \<le> (1/2 :: real)^n0"
by (simp add: divide_simps)
show ?thesis
proof (cases "?s n = a")
case True
then show ?thesis
unfolding dist_eq_0_iff[of "?s n" a, symmetric]
using \<open>r > 0\<close> by (simp del: dist_eq_0_iff)
next
case False
from False have dth: "dist (?s n) a = (1/2)^subdegree (?s n - a)"
by (simp add: dist_fps_def field_simps)
from False have kn: "subdegree (?s n - a) > n"
by (intro subdegree_greaterI) (simp_all add: fps_sum_rep_nth)
then have "dist (?s n) a < (1/2)^n"
by (simp add: field_simps dist_fps_def)
also have "\<dots> \<le> (1/2)^n0"
using nn0 by (simp add: divide_simps)
also have "\<dots> < r"
using n0 by simp
finally show ?thesis .
qed
qed
then show ?thesis by blast
qed
qed
then show ?thesis
unfolding lim_sequentially by blast
qed
subsection \<open>Inverses of formal power series\<close>
declare sum.cong[fundef_cong]
instantiation fps :: ("{comm_monoid_add,inverse,times,uminus}") inverse
begin
fun natfun_inverse:: "'a fps \<Rightarrow> nat \<Rightarrow> 'a"
where
"natfun_inverse f 0 = inverse (f$0)"
| "natfun_inverse f n = - inverse (f$0) * sum (\<lambda>i. f$i * natfun_inverse f (n - i)) {1..n}"
definition fps_inverse_def: "inverse f = (if f $ 0 = 0 then 0 else Abs_fps (natfun_inverse f))"
definition fps_divide_def:
"f div g = (if g = 0 then 0 else
let n = subdegree g; h = fps_shift n g
in fps_shift n (f * inverse h))"
instance ..
end
lemma fps_inverse_zero [simp]:
"inverse (0 :: 'a::{comm_monoid_add,inverse,times,uminus} fps) = 0"
by (simp add: fps_ext fps_inverse_def)
lemma fps_inverse_one [simp]: "inverse (1 :: 'a::{division_ring,zero_neq_one} fps) = 1"
apply (auto simp add: expand_fps_eq fps_inverse_def)
apply (case_tac n)
apply auto
done
lemma inverse_mult_eq_1 [intro]:
assumes f0: "f$0 \<noteq> (0::'a::field)"
shows "inverse f * f = 1"
proof -
have c: "inverse f * f = f * inverse f"
by (simp add: mult.commute)
from f0 have ifn: "\<And>n. inverse f $ n = natfun_inverse f n"
by (simp add: fps_inverse_def)
from f0 have th0: "(inverse f * f) $ 0 = 1"
by (simp add: fps_mult_nth fps_inverse_def)
have "(inverse f * f)$n = 0" if np: "n > 0" for n
proof -
from np have eq: "{0..n} = {0} \<union> {1 .. n}"
by auto
have d: "{0} \<inter> {1 .. n} = {}"
by auto
from f0 np have th0: "- (inverse f $ n) =
(sum (\<lambda>i. f$i * natfun_inverse f (n - i)) {1..n}) / (f$0)"
by (cases n) (simp_all add: divide_inverse fps_inverse_def)
from th0[symmetric, unfolded nonzero_divide_eq_eq[OF f0]]
have th1: "sum (\<lambda>i. f$i * natfun_inverse f (n - i)) {1..n} = - (f$0) * (inverse f)$n"
by (simp add: field_simps)
have "(f * inverse f) $ n = (\<Sum>i = 0..n. f $i * natfun_inverse f (n - i))"
unfolding fps_mult_nth ifn ..
also have "\<dots> = f$0 * natfun_inverse f n + (\<Sum>i = 1..n. f$i * natfun_inverse f (n-i))"
by (simp add: eq)
also have "\<dots> = 0"
unfolding th1 ifn by simp
finally show ?thesis unfolding c .
qed
with th0 show ?thesis
by (simp add: fps_eq_iff)
qed
lemma fps_inverse_0_iff[simp]: "(inverse f) $ 0 = (0::'a::division_ring) \<longleftrightarrow> f $ 0 = 0"
by (simp add: fps_inverse_def nonzero_imp_inverse_nonzero)
lemma fps_inverse_nth_0 [simp]: "inverse f $ 0 = inverse (f $ 0 :: 'a :: division_ring)"
by (simp add: fps_inverse_def)
lemma fps_inverse_eq_0_iff[simp]: "inverse f = (0:: ('a::division_ring) fps) \<longleftrightarrow> f $ 0 = 0"
proof
assume A: "inverse f = 0"
have "0 = inverse f $ 0" by (subst A) simp
thus "f $ 0 = 0" by simp
qed (simp add: fps_inverse_def)
lemma fps_inverse_idempotent[intro, simp]:
assumes f0: "f$0 \<noteq> (0::'a::field)"
shows "inverse (inverse f) = f"
proof -
from f0 have if0: "inverse f $ 0 \<noteq> 0" by simp
from inverse_mult_eq_1[OF f0] inverse_mult_eq_1[OF if0]
have "inverse f * f = inverse f * inverse (inverse f)"
by (simp add: ac_simps)
then show ?thesis
using f0 unfolding mult_cancel_left by simp
qed
lemma fps_inverse_unique:
assumes fg: "(f :: 'a :: field fps) * g = 1"
shows "inverse f = g"
proof -
have f0: "f $ 0 \<noteq> 0"
proof
assume "f $ 0 = 0"
hence "0 = (f * g) $ 0" by simp
also from fg have "(f * g) $ 0 = 1" by simp
finally show False by simp
qed
from inverse_mult_eq_1[OF this] fg
have th0: "inverse f * f = g * f"
by (simp add: ac_simps)
then show ?thesis
using f0
unfolding mult_cancel_right
by (auto simp add: expand_fps_eq)
qed
lemma fps_inverse_eq_0: "f$0 = 0 \<Longrightarrow> inverse (f :: 'a :: division_ring fps) = 0"
by simp
lemma sum_zero_lemma:
fixes n::nat
assumes "0 < n"
shows "(\<Sum>i = 0..n. if n = i then 1 else if n - i = 1 then - 1 else 0) = (0::'a::field)"
proof -
let ?f = "\<lambda>i. if n = i then 1 else if n - i = 1 then - 1 else 0"
let ?g = "\<lambda>i. if i = n then 1 else if i = n - 1 then - 1 else 0"
let ?h = "\<lambda>i. if i=n - 1 then - 1 else 0"
have th1: "sum ?f {0..n} = sum ?g {0..n}"
by (rule sum.cong) auto
have th2: "sum ?g {0..n - 1} = sum ?h {0..n - 1}"
apply (rule sum.cong)
using assms
apply auto
done
have eq: "{0 .. n} = {0.. n - 1} \<union> {n}"
by auto
from assms have d: "{0.. n - 1} \<inter> {n} = {}"
by auto
have f: "finite {0.. n - 1}" "finite {n}"
by auto
show ?thesis
unfolding th1
apply (simp add: sum.union_disjoint[OF f d, unfolded eq[symmetric]] del: One_nat_def)
unfolding th2
apply (simp add: sum.delta)
done
qed
lemma fps_inverse_mult: "inverse (f * g :: 'a::field fps) = inverse f * inverse g"
proof (cases "f$0 = 0 \<or> g$0 = 0")
assume "\<not>(f$0 = 0 \<or> g$0 = 0)"
hence [simp]: "f$0 \<noteq> 0" "g$0 \<noteq> 0" by simp_all
show ?thesis
proof (rule fps_inverse_unique)
have "f * g * (inverse f * inverse g) = (inverse f * f) * (inverse g * g)" by simp
also have "... = 1" by (subst (1 2) inverse_mult_eq_1) simp_all
finally show "f * g * (inverse f * inverse g) = 1" .
qed
next
assume A: "f$0 = 0 \<or> g$0 = 0"
hence "inverse (f * g) = 0" by simp
also from A have "... = inverse f * inverse g" by auto
finally show "inverse (f * g) = inverse f * inverse g" .
qed
lemma fps_inverse_gp: "inverse (Abs_fps(\<lambda>n. (1::'a::field))) =
Abs_fps (\<lambda>n. if n= 0 then 1 else if n=1 then - 1 else 0)"
apply (rule fps_inverse_unique)
apply (simp_all add: fps_eq_iff fps_mult_nth sum_zero_lemma)
done
lemma subdegree_inverse [simp]: "subdegree (inverse (f::'a::field fps)) = 0"
proof (cases "f$0 = 0")
assume nz: "f$0 \<noteq> 0"
hence "subdegree (inverse f) + subdegree f = subdegree (inverse f * f)"
by (subst subdegree_mult) auto
also from nz have "subdegree f = 0" by (simp add: subdegree_eq_0_iff)
also from nz have "inverse f * f = 1" by (rule inverse_mult_eq_1)
finally show "subdegree (inverse f) = 0" by simp
qed (simp_all add: fps_inverse_def)
lemma fps_is_unit_iff [simp]: "(f :: 'a :: field fps) dvd 1 \<longleftrightarrow> f $ 0 \<noteq> 0"
proof
assume "f dvd 1"
then obtain g where "1 = f * g" by (elim dvdE)
from this[symmetric] have "(f*g) $ 0 = 1" by simp
thus "f $ 0 \<noteq> 0" by auto
next
assume A: "f $ 0 \<noteq> 0"
thus "f dvd 1" by (simp add: inverse_mult_eq_1[OF A, symmetric])
qed
lemma subdegree_eq_0' [simp]: "(f :: 'a :: field fps) dvd 1 \<Longrightarrow> subdegree f = 0"
by simp
lemma fps_unit_dvd [simp]: "(f $ 0 :: 'a :: field) \<noteq> 0 \<Longrightarrow> f dvd g"
by (rule dvd_trans, subst fps_is_unit_iff) simp_all
instantiation fps :: (field) normalization_semidom
begin
definition fps_unit_factor_def [simp]:
"unit_factor f = fps_shift (subdegree f) f"
definition fps_normalize_def [simp]:
"normalize f = (if f = 0 then 0 else fps_X ^ subdegree f)"
instance proof
fix f :: "'a fps"
show "unit_factor f * normalize f = f"
by (simp add: fps_shift_times_fps_X_power)
next
fix f g :: "'a fps"
show "unit_factor (f * g) = unit_factor f * unit_factor g"
proof (cases "f = 0 \<or> g = 0")
assume "\<not>(f = 0 \<or> g = 0)"
thus "unit_factor (f * g) = unit_factor f * unit_factor g"
unfolding fps_unit_factor_def
by (auto simp: fps_shift_fps_shift fps_shift_mult fps_shift_mult_right)
qed auto
next
fix f g :: "'a fps"
assume "g \<noteq> 0"
then have "f * (fps_shift (subdegree g) g * inverse (fps_shift (subdegree g) g)) = f"
by (metis add_cancel_right_left fps_shift_nth inverse_mult_eq_1 mult.commute mult_cancel_left2 nth_subdegree_nonzero)
then have "fps_shift (subdegree g) (g * (f * inverse (fps_shift (subdegree g) g))) = f"
by (simp add: fps_shift_mult_right mult.commute)
with \<open>g \<noteq> 0\<close> show "f * g / g = f"
by (simp add: fps_divide_def Let_def ac_simps)
qed (auto simp add: fps_divide_def Let_def)
end
instantiation fps :: (field) ring_div
begin
definition fps_mod_def:
"f mod g = (if g = 0 then f else
let n = subdegree g; h = fps_shift n g
in fps_cutoff n (f * inverse h) * h)"
lemma fps_mod_eq_zero:
assumes "g \<noteq> 0" and "subdegree f \<ge> subdegree g"
shows "f mod g = 0"
using assms by (cases "f = 0") (auto simp: fps_cutoff_zero_iff fps_mod_def Let_def)
lemma fps_times_divide_eq:
assumes "g \<noteq> 0" and "subdegree f \<ge> subdegree (g :: 'a fps)"
shows "f div g * g = f"
proof (cases "f = 0")
assume nz: "f \<noteq> 0"
define n where "n = subdegree g"
define h where "h = fps_shift n g"
from assms have [simp]: "h $ 0 \<noteq> 0" unfolding h_def by (simp add: n_def)
from assms nz have "f div g * g = fps_shift n (f * inverse h) * g"
by (simp add: fps_divide_def Let_def h_def n_def)
also have "... = fps_shift n (f * inverse h) * fps_X^n * h" unfolding h_def n_def
by (subst subdegree_decompose[of g]) simp
also have "fps_shift n (f * inverse h) * fps_X^n = f * inverse h"
by (rule fps_shift_times_fps_X_power) (simp_all add: nz assms n_def)
also have "... * h = f * (inverse h * h)" by simp
also have "inverse h * h = 1" by (rule inverse_mult_eq_1) simp
finally show ?thesis by simp
qed (simp_all add: fps_divide_def Let_def)
lemma
assumes "g$0 \<noteq> 0"
shows fps_divide_unit: "f div g = f * inverse g" and fps_mod_unit [simp]: "f mod g = 0"
proof -
from assms have [simp]: "subdegree g = 0" by (simp add: subdegree_eq_0_iff)
from assms show "f div g = f * inverse g"
by (auto simp: fps_divide_def Let_def subdegree_eq_0_iff)
from assms show "f mod g = 0" by (intro fps_mod_eq_zero) auto
qed
context
begin
private lemma fps_divide_cancel_aux1:
assumes "h$0 \<noteq> (0 :: 'a :: field)"
shows "(h * f) div (h * g) = f div g"
proof (cases "g = 0")
assume "g \<noteq> 0"
from assms have "h \<noteq> 0" by auto
note nz [simp] = \<open>g \<noteq> 0\<close> \<open>h \<noteq> 0\<close>
from assms have [simp]: "subdegree h = 0" by (simp add: subdegree_eq_0_iff)
have "(h * f) div (h * g) =
fps_shift (subdegree g) (h * f * inverse (fps_shift (subdegree g) (h*g)))"
by (simp add: fps_divide_def Let_def)
also have "h * f * inverse (fps_shift (subdegree g) (h*g)) =
(inverse h * h) * f * inverse (fps_shift (subdegree g) g)"
by (subst fps_shift_mult) (simp_all add: algebra_simps fps_inverse_mult)
also from assms have "inverse h * h = 1" by (rule inverse_mult_eq_1)
finally show "(h * f) div (h * g) = f div g" by (simp_all add: fps_divide_def Let_def)
qed (simp_all add: fps_divide_def)
private lemma fps_divide_cancel_aux2:
"(f * fps_X^m) div (g * fps_X^m) = f div (g :: 'a :: field fps)"
proof (cases "g = 0")
assume [simp]: "g \<noteq> 0"
have "(f * fps_X^m) div (g * fps_X^m) =
fps_shift (subdegree g + m) (f*inverse (fps_shift (subdegree g + m) (g*fps_X^m))*fps_X^m)"
by (simp add: fps_divide_def Let_def algebra_simps)
also have "... = f div g"
by (simp add: fps_shift_times_fps_X_power'' fps_divide_def Let_def)
finally show ?thesis .
qed (simp_all add: fps_divide_def)
instance proof
fix f g :: "'a fps"
define n where "n = subdegree g"
define h where "h = fps_shift n g"
show "f div g * g + f mod g = f"
proof (cases "g = 0 \<or> f = 0")
assume "\<not>(g = 0 \<or> f = 0)"
hence nz [simp]: "f \<noteq> 0" "g \<noteq> 0" by simp_all
show ?thesis
proof (rule disjE[OF le_less_linear])
assume "subdegree f \<ge> subdegree g"
with nz show ?thesis by (simp add: fps_mod_eq_zero fps_times_divide_eq)
next
assume "subdegree f < subdegree g"
have g_decomp: "g = h * fps_X^n" unfolding h_def n_def by (rule subdegree_decompose)
have "f div g * g + f mod g =
fps_shift n (f * inverse h) * g + fps_cutoff n (f * inverse h) * h"
by (simp add: fps_mod_def fps_divide_def Let_def n_def h_def)
also have "... = h * (fps_shift n (f * inverse h) * fps_X^n + fps_cutoff n (f * inverse h))"
by (subst g_decomp) (simp add: algebra_simps)
also have "... = f * (inverse h * h)"
by (subst fps_shift_cutoff) simp
also have "inverse h * h = 1" by (rule inverse_mult_eq_1) (simp add: h_def n_def)
finally show ?thesis by simp
qed
qed (auto simp: fps_mod_def fps_divide_def Let_def)
next
fix f g h :: "'a fps"
assume "h \<noteq> 0"
show "(h * f) div (h * g) = f div g"
proof -
define m where "m = subdegree h"
define h' where "h' = fps_shift m h"
have h_decomp: "h = h' * fps_X ^ m" unfolding h'_def m_def by (rule subdegree_decompose)
from \<open>h \<noteq> 0\<close> have [simp]: "h'$0 \<noteq> 0" by (simp add: h'_def m_def)
have "(h * f) div (h * g) = (h' * f * fps_X^m) div (h' * g * fps_X^m)"
by (simp add: h_decomp algebra_simps)
also have "... = f div g" by (simp add: fps_divide_cancel_aux1 fps_divide_cancel_aux2)
finally show ?thesis .
qed
next
fix f g h :: "'a fps"
assume [simp]: "h \<noteq> 0"
define n h' where dfs: "n = subdegree h" "h' = fps_shift n h"
have "(f + g * h) div h = fps_shift n (f * inverse h') + fps_shift n (g * (h * inverse h'))"
by (simp add: fps_divide_def Let_def dfs[symmetric] algebra_simps fps_shift_add)
also have "h * inverse h' = (inverse h' * h') * fps_X^n"
by (subst subdegree_decompose) (simp_all add: dfs)
also have "... = fps_X^n" by (subst inverse_mult_eq_1) (simp_all add: dfs)
also have "fps_shift n (g * fps_X^n) = g" by simp
also have "fps_shift n (f * inverse h') = f div h"
by (simp add: fps_divide_def Let_def dfs)
finally show "(f + g * h) div h = g + f div h" by simp
qed
end
end
lemma subdegree_mod:
assumes "f \<noteq> 0" "subdegree f < subdegree g"
shows "subdegree (f mod g) = subdegree f"
proof (cases "f div g * g = 0")
assume "f div g * g \<noteq> 0"
hence [simp]: "f div g \<noteq> 0" "g \<noteq> 0" by auto
from div_mult_mod_eq[of f g] have "f mod g = f - f div g * g" by (simp add: algebra_simps)
also from assms have "subdegree ... = subdegree f"
by (intro subdegree_diff_eq1) simp_all
finally show ?thesis .
next
assume zero: "f div g * g = 0"
from div_mult_mod_eq[of f g] have "f mod g = f - f div g * g" by (simp add: algebra_simps)
also note zero
finally show ?thesis by simp
qed
lemma fps_divide_nth_0 [simp]: "g $ 0 \<noteq> 0 \<Longrightarrow> (f div g) $ 0 = f $ 0 / (g $ 0 :: _ :: field)"
by (simp add: fps_divide_unit divide_inverse)
lemma dvd_imp_subdegree_le:
"(f :: 'a :: idom fps) dvd g \<Longrightarrow> g \<noteq> 0 \<Longrightarrow> subdegree f \<le> subdegree g"
by (auto elim: dvdE)
lemma fps_dvd_iff:
assumes "(f :: 'a :: field fps) \<noteq> 0" "g \<noteq> 0"
shows "f dvd g \<longleftrightarrow> subdegree f \<le> subdegree g"
proof
assume "subdegree f \<le> subdegree g"
with assms have "g mod f = 0"
by (simp add: fps_mod_def Let_def fps_cutoff_zero_iff)
thus "f dvd g" by (simp add: dvd_eq_mod_eq_0)
qed (simp add: assms dvd_imp_subdegree_le)
lemma fps_shift_altdef:
"fps_shift n f = (f :: 'a :: field fps) div fps_X^n"
by (simp add: fps_divide_def)
lemma fps_div_fps_X_power_nth: "((f :: 'a :: field fps) div fps_X^n) $ k = f $ (k + n)"
by (simp add: fps_shift_altdef [symmetric])
lemma fps_div_fps_X_nth: "((f :: 'a :: field fps) div fps_X) $ k = f $ Suc k"
using fps_div_fps_X_power_nth[of f 1] by simp
lemma fps_const_inverse: "inverse (fps_const (a::'a::field)) = fps_const (inverse a)"
by (cases "a \<noteq> 0", rule fps_inverse_unique) (auto simp: fps_eq_iff)
lemma fps_const_divide: "fps_const (x :: _ :: field) / fps_const y = fps_const (x / y)"
by (cases "y = 0") (simp_all add: fps_divide_unit fps_const_inverse divide_inverse)
lemma inverse_fps_numeral:
"inverse (numeral n :: ('a :: field_char_0) fps) = fps_const (inverse (numeral n))"
by (intro fps_inverse_unique fps_ext) (simp_all add: fps_numeral_nth)
lemma fps_numeral_divide_divide:
"x / numeral b / numeral c = (x / numeral (b * c) :: 'a :: field fps)"
by (cases "numeral b = (0::'a)"; cases "numeral c = (0::'a)")
(simp_all add: fps_divide_unit fps_inverse_mult [symmetric] numeral_fps_const numeral_mult
del: numeral_mult [symmetric])
lemma fps_numeral_mult_divide:
"numeral b * x / numeral c = (numeral b / numeral c * x :: 'a :: field fps)"
by (cases "numeral c = (0::'a)") (simp_all add: fps_divide_unit numeral_fps_const)
lemmas fps_numeral_simps =
fps_numeral_divide_divide fps_numeral_mult_divide inverse_fps_numeral neg_numeral_fps_const
subsection \<open>Formal power series form a Euclidean ring\<close>
instantiation fps :: (field) euclidean_ring_cancel
begin
definition fps_euclidean_size_def:
"euclidean_size f = (if f = 0 then 0 else 2 ^ subdegree f)"
instance proof
fix f g :: "'a fps" assume [simp]: "g \<noteq> 0"
show "euclidean_size f \<le> euclidean_size (f * g)"
by (cases "f = 0") (auto simp: fps_euclidean_size_def)
show "euclidean_size (f mod g) < euclidean_size g"
apply (cases "f = 0", simp add: fps_euclidean_size_def)
apply (rule disjE[OF le_less_linear[of "subdegree g" "subdegree f"]])
apply (simp_all add: fps_mod_eq_zero fps_euclidean_size_def subdegree_mod)
done
qed (simp_all add: fps_euclidean_size_def)
end
instantiation fps :: (field) euclidean_ring_gcd
begin
definition fps_gcd_def: "(gcd :: 'a fps \<Rightarrow> _) = Euclidean_Algorithm.gcd"
definition fps_lcm_def: "(lcm :: 'a fps \<Rightarrow> _) = Euclidean_Algorithm.lcm"
definition fps_Gcd_def: "(Gcd :: 'a fps set \<Rightarrow> _) = Euclidean_Algorithm.Gcd"
definition fps_Lcm_def: "(Lcm :: 'a fps set \<Rightarrow> _) = Euclidean_Algorithm.Lcm"
instance by standard (simp_all add: fps_gcd_def fps_lcm_def fps_Gcd_def fps_Lcm_def)
end
lemma fps_gcd:
assumes [simp]: "f \<noteq> 0" "g \<noteq> 0"
shows "gcd f g = fps_X ^ min (subdegree f) (subdegree g)"
proof -
let ?m = "min (subdegree f) (subdegree g)"
show "gcd f g = fps_X ^ ?m"
proof (rule sym, rule gcdI)
fix d assume "d dvd f" "d dvd g"
thus "d dvd fps_X ^ ?m" by (cases "d = 0") (auto simp: fps_dvd_iff)
qed (simp_all add: fps_dvd_iff)
qed
lemma fps_gcd_altdef: "gcd (f :: 'a :: field fps) g =
(if f = 0 \<and> g = 0 then 0 else
if f = 0 then fps_X ^ subdegree g else
if g = 0 then fps_X ^ subdegree f else
fps_X ^ min (subdegree f) (subdegree g))"
by (simp add: fps_gcd)
lemma fps_lcm:
assumes [simp]: "f \<noteq> 0" "g \<noteq> 0"
shows "lcm f g = fps_X ^ max (subdegree f) (subdegree g)"
proof -
let ?m = "max (subdegree f) (subdegree g)"
show "lcm f g = fps_X ^ ?m"
proof (rule sym, rule lcmI)
fix d assume "f dvd d" "g dvd d"
thus "fps_X ^ ?m dvd d" by (cases "d = 0") (auto simp: fps_dvd_iff)
qed (simp_all add: fps_dvd_iff)
qed
lemma fps_lcm_altdef: "lcm (f :: 'a :: field fps) g =
(if f = 0 \<or> g = 0 then 0 else fps_X ^ max (subdegree f) (subdegree g))"
by (simp add: fps_lcm)
lemma fps_Gcd:
assumes "A - {0} \<noteq> {}"
shows "Gcd A = fps_X ^ (INF f:A-{0}. subdegree f)"
proof (rule sym, rule GcdI)
fix f assume "f \<in> A"
thus "fps_X ^ (INF f:A - {0}. subdegree f) dvd f"
by (cases "f = 0") (auto simp: fps_dvd_iff intro!: cINF_lower)
next
fix d assume d: "\<And>f. f \<in> A \<Longrightarrow> d dvd f"
from assms obtain f where "f \<in> A - {0}" by auto
with d[of f] have [simp]: "d \<noteq> 0" by auto
from d assms have "subdegree d \<le> (INF f:A-{0}. subdegree f)"
by (intro cINF_greatest) (auto simp: fps_dvd_iff[symmetric])
with d assms show "d dvd fps_X ^ (INF f:A-{0}. subdegree f)" by (simp add: fps_dvd_iff)
qed simp_all
lemma fps_Gcd_altdef: "Gcd (A :: 'a :: field fps set) =
(if A \<subseteq> {0} then 0 else fps_X ^ (INF f:A-{0}. subdegree f))"
using fps_Gcd by auto
lemma fps_Lcm:
assumes "A \<noteq> {}" "0 \<notin> A" "bdd_above (subdegree`A)"
shows "Lcm A = fps_X ^ (SUP f:A. subdegree f)"
proof (rule sym, rule LcmI)
fix f assume "f \<in> A"
moreover from assms(3) have "bdd_above (subdegree ` A)" by auto
ultimately show "f dvd fps_X ^ (SUP f:A. subdegree f)" using assms(2)
by (cases "f = 0") (auto simp: fps_dvd_iff intro!: cSUP_upper)
next
fix d assume d: "\<And>f. f \<in> A \<Longrightarrow> f dvd d"
from assms obtain f where f: "f \<in> A" "f \<noteq> 0" by auto
show "fps_X ^ (SUP f:A. subdegree f) dvd d"
proof (cases "d = 0")
assume "d \<noteq> 0"
moreover from d have "\<And>f. f \<in> A \<Longrightarrow> f \<noteq> 0 \<Longrightarrow> f dvd d" by blast
ultimately have "subdegree d \<ge> (SUP f:A. subdegree f)" using assms
by (intro cSUP_least) (auto simp: fps_dvd_iff)
with \<open>d \<noteq> 0\<close> show ?thesis by (simp add: fps_dvd_iff)
qed simp_all
qed simp_all
lemma fps_Lcm_altdef:
"Lcm (A :: 'a :: field fps set) =
(if 0 \<in> A \<or> \<not>bdd_above (subdegree`A) then 0 else
if A = {} then 1 else fps_X ^ (SUP f:A. subdegree f))"
proof (cases "bdd_above (subdegree`A)")
assume unbounded: "\<not>bdd_above (subdegree`A)"
have "Lcm A = 0"
proof (rule ccontr)
assume "Lcm A \<noteq> 0"
from unbounded obtain f where f: "f \<in> A" "subdegree (Lcm A) < subdegree f"
unfolding bdd_above_def by (auto simp: not_le)
moreover from f and \<open>Lcm A \<noteq> 0\<close> have "subdegree f \<le> subdegree (Lcm A)"
by (intro dvd_imp_subdegree_le dvd_Lcm) simp_all
ultimately show False by simp
qed
with unbounded show ?thesis by simp
qed (simp_all add: fps_Lcm Lcm_eq_0_I)
subsection \<open>Formal Derivatives, and the MacLaurin theorem around 0\<close>
definition "fps_deriv f = Abs_fps (\<lambda>n. of_nat (n + 1) * f $ (n + 1))"
lemma fps_deriv_nth[simp]: "fps_deriv f $ n = of_nat (n +1) * f $ (n + 1)"
by (simp add: fps_deriv_def)
lemma fps_0th_higher_deriv:
"(fps_deriv ^^ n) f $ 0 = (fact n * f $ n :: 'a :: {comm_ring_1, semiring_char_0})"
by (induction n arbitrary: f) (simp_all del: funpow.simps add: funpow_Suc_right algebra_simps)
lemma fps_deriv_linear[simp]:
"fps_deriv (fps_const (a::'a::comm_semiring_1) * f + fps_const b * g) =
fps_const a * fps_deriv f + fps_const b * fps_deriv g"
unfolding fps_eq_iff fps_add_nth fps_const_mult_left fps_deriv_nth by (simp add: field_simps)
lemma fps_deriv_mult[simp]:
fixes f :: "'a::comm_ring_1 fps"
shows "fps_deriv (f * g) = f * fps_deriv g + fps_deriv f * g"
proof -
let ?D = "fps_deriv"
have "(f * ?D g + ?D f * g) $ n = ?D (f*g) $ n" for n
proof -
let ?Zn = "{0 ..n}"
let ?Zn1 = "{0 .. n + 1}"
let ?g = "\<lambda>i. of_nat (i+1) * g $ (i+1) * f $ (n - i) +
of_nat (i+1)* f $ (i+1) * g $ (n - i)"
let ?h = "\<lambda>i. of_nat i * g $ i * f $ ((n+1) - i) +
of_nat i* f $ i * g $ ((n + 1) - i)"
have s0: "sum (\<lambda>i. of_nat i * f $ i * g $ (n + 1 - i)) ?Zn1 =
sum (\<lambda>i. of_nat (n + 1 - i) * f $ (n + 1 - i) * g $ i) ?Zn1"
by (rule sum.reindex_bij_witness[where i="op - (n + 1)" and j="op - (n + 1)"]) auto
have s1: "sum (\<lambda>i. f $ i * g $ (n + 1 - i)) ?Zn1 =
sum (\<lambda>i. f $ (n + 1 - i) * g $ i) ?Zn1"
by (rule sum.reindex_bij_witness[where i="op - (n + 1)" and j="op - (n + 1)"]) auto
have "(f * ?D g + ?D f * g)$n = (?D g * f + ?D f * g)$n"
by (simp only: mult.commute)
also have "\<dots> = (\<Sum>i = 0..n. ?g i)"
by (simp add: fps_mult_nth sum.distrib[symmetric])
also have "\<dots> = sum ?h {0..n+1}"
by (rule sum.reindex_bij_witness_not_neutral
[where S'="{}" and T'="{0}" and j="Suc" and i="\<lambda>i. i - 1"]) auto
also have "\<dots> = (fps_deriv (f * g)) $ n"
apply (simp only: fps_deriv_nth fps_mult_nth sum.distrib)
unfolding s0 s1
unfolding sum.distrib[symmetric] sum_distrib_left
apply (rule sum.cong)
apply (auto simp add: of_nat_diff field_simps)
done
finally show ?thesis .
qed
then show ?thesis
unfolding fps_eq_iff by auto
qed
lemma fps_deriv_fps_X[simp]: "fps_deriv fps_X = 1"
by (simp add: fps_deriv_def fps_X_def fps_eq_iff)
lemma fps_deriv_neg[simp]:
"fps_deriv (- (f:: 'a::comm_ring_1 fps)) = - (fps_deriv f)"
by (simp add: fps_eq_iff fps_deriv_def)
lemma fps_deriv_add[simp]:
"fps_deriv ((f:: 'a::comm_ring_1 fps) + g) = fps_deriv f + fps_deriv g"
using fps_deriv_linear[of 1 f 1 g] by simp
lemma fps_deriv_sub[simp]:
"fps_deriv ((f:: 'a::comm_ring_1 fps) - g) = fps_deriv f - fps_deriv g"
using fps_deriv_add [of f "- g"] by simp
lemma fps_deriv_const[simp]: "fps_deriv (fps_const c) = 0"
by (simp add: fps_ext fps_deriv_def fps_const_def)
lemma fps_deriv_of_nat [simp]: "fps_deriv (of_nat n) = 0"
by (simp add: fps_of_nat [symmetric])
lemma fps_deriv_numeral [simp]: "fps_deriv (numeral n) = 0"
by (simp add: numeral_fps_const)
lemma fps_deriv_mult_const_left[simp]:
"fps_deriv (fps_const (c::'a::comm_ring_1) * f) = fps_const c * fps_deriv f"
by simp
lemma fps_deriv_0[simp]: "fps_deriv 0 = 0"
by (simp add: fps_deriv_def fps_eq_iff)
lemma fps_deriv_1[simp]: "fps_deriv 1 = 0"
by (simp add: fps_deriv_def fps_eq_iff )
lemma fps_deriv_mult_const_right[simp]:
"fps_deriv (f * fps_const (c::'a::comm_ring_1)) = fps_deriv f * fps_const c"
by simp
lemma fps_deriv_sum:
"fps_deriv (sum f S) = sum (\<lambda>i. fps_deriv (f i :: 'a::comm_ring_1 fps)) S"
proof (cases "finite S")
case False
then show ?thesis by simp
next
case True
show ?thesis by (induct rule: finite_induct [OF True]) simp_all
qed
lemma fps_deriv_eq_0_iff [simp]:
"fps_deriv f = 0 \<longleftrightarrow> f = fps_const (f$0 :: 'a::{idom,semiring_char_0})"
(is "?lhs \<longleftrightarrow> ?rhs")
proof
show ?lhs if ?rhs
proof -
from that have "fps_deriv f = fps_deriv (fps_const (f$0))"
by simp
then show ?thesis
by simp
qed
show ?rhs if ?lhs
proof -
from that have "\<forall>n. (fps_deriv f)$n = 0"
by simp
then have "\<forall>n. f$(n+1) = 0"
by (simp del: of_nat_Suc of_nat_add One_nat_def)
then show ?thesis
apply (clarsimp simp add: fps_eq_iff fps_const_def)
apply (erule_tac x="n - 1" in allE)
apply simp
done
qed
qed
lemma fps_deriv_eq_iff:
fixes f :: "'a::{idom,semiring_char_0} fps"
shows "fps_deriv f = fps_deriv g \<longleftrightarrow> (f = fps_const(f$0 - g$0) + g)"
proof -
have "fps_deriv f = fps_deriv g \<longleftrightarrow> fps_deriv (f - g) = 0"
by simp
also have "\<dots> \<longleftrightarrow> f - g = fps_const ((f - g) $ 0)"
unfolding fps_deriv_eq_0_iff ..
finally show ?thesis
by (simp add: field_simps)
qed
lemma fps_deriv_eq_iff_ex:
"(fps_deriv f = fps_deriv g) \<longleftrightarrow> (\<exists>c::'a::{idom,semiring_char_0}. f = fps_const c + g)"
by (auto simp: fps_deriv_eq_iff)
fun fps_nth_deriv :: "nat \<Rightarrow> 'a::semiring_1 fps \<Rightarrow> 'a fps"
where
"fps_nth_deriv 0 f = f"
| "fps_nth_deriv (Suc n) f = fps_nth_deriv n (fps_deriv f)"
lemma fps_nth_deriv_commute: "fps_nth_deriv (Suc n) f = fps_deriv (fps_nth_deriv n f)"
by (induct n arbitrary: f) auto
lemma fps_nth_deriv_linear[simp]:
"fps_nth_deriv n (fps_const (a::'a::comm_semiring_1) * f + fps_const b * g) =
fps_const a * fps_nth_deriv n f + fps_const b * fps_nth_deriv n g"
by (induct n arbitrary: f g) (auto simp add: fps_nth_deriv_commute)
lemma fps_nth_deriv_neg[simp]:
"fps_nth_deriv n (- (f :: 'a::comm_ring_1 fps)) = - (fps_nth_deriv n f)"
by (induct n arbitrary: f) simp_all
lemma fps_nth_deriv_add[simp]:
"fps_nth_deriv n ((f :: 'a::comm_ring_1 fps) + g) = fps_nth_deriv n f + fps_nth_deriv n g"
using fps_nth_deriv_linear[of n 1 f 1 g] by simp
lemma fps_nth_deriv_sub[simp]:
"fps_nth_deriv n ((f :: 'a::comm_ring_1 fps) - g) = fps_nth_deriv n f - fps_nth_deriv n g"
using fps_nth_deriv_add [of n f "- g"] by simp
lemma fps_nth_deriv_0[simp]: "fps_nth_deriv n 0 = 0"
by (induct n) simp_all
lemma fps_nth_deriv_1[simp]: "fps_nth_deriv n 1 = (if n = 0 then 1 else 0)"
by (induct n) simp_all
lemma fps_nth_deriv_const[simp]:
"fps_nth_deriv n (fps_const c) = (if n = 0 then fps_const c else 0)"
by (cases n) simp_all
lemma fps_nth_deriv_mult_const_left[simp]:
"fps_nth_deriv n (fps_const (c::'a::comm_ring_1) * f) = fps_const c * fps_nth_deriv n f"
using fps_nth_deriv_linear[of n "c" f 0 0 ] by simp
lemma fps_nth_deriv_mult_const_right[simp]:
"fps_nth_deriv n (f * fps_const (c::'a::comm_ring_1)) = fps_nth_deriv n f * fps_const c"
using fps_nth_deriv_linear[of n "c" f 0 0] by (simp add: mult.commute)
lemma fps_nth_deriv_sum:
"fps_nth_deriv n (sum f S) = sum (\<lambda>i. fps_nth_deriv n (f i :: 'a::comm_ring_1 fps)) S"
proof (cases "finite S")
case True
show ?thesis by (induct rule: finite_induct [OF True]) simp_all
next
case False
then show ?thesis by simp
qed
lemma fps_deriv_maclauren_0:
"(fps_nth_deriv k (f :: 'a::comm_semiring_1 fps)) $ 0 = of_nat (fact k) * f $ k"
by (induct k arbitrary: f) (auto simp add: field_simps)
subsection \<open>Powers\<close>
lemma fps_power_zeroth_eq_one: "a$0 =1 \<Longrightarrow> a^n $ 0 = (1::'a::semiring_1)"
by (induct n) (auto simp add: expand_fps_eq fps_mult_nth)
lemma fps_power_first_eq: "(a :: 'a::comm_ring_1 fps) $ 0 =1 \<Longrightarrow> a^n $ 1 = of_nat n * a$1"
proof (induct n)
case 0
then show ?case by simp
next
case (Suc n)
show ?case unfolding power_Suc fps_mult_nth
using Suc.hyps[OF \<open>a$0 = 1\<close>] \<open>a$0 = 1\<close> fps_power_zeroth_eq_one[OF \<open>a$0=1\<close>]
by (simp add: field_simps)
qed
lemma startsby_one_power:"a $ 0 = (1::'a::comm_ring_1) \<Longrightarrow> a^n $ 0 = 1"
by (induct n) (auto simp add: fps_mult_nth)
lemma startsby_zero_power:"a $0 = (0::'a::comm_ring_1) \<Longrightarrow> n > 0 \<Longrightarrow> a^n $0 = 0"
by (induct n) (auto simp add: fps_mult_nth)
lemma startsby_power:"a $0 = (v::'a::comm_ring_1) \<Longrightarrow> a^n $0 = v^n"
by (induct n) (auto simp add: fps_mult_nth)
lemma startsby_zero_power_iff[simp]: "a^n $0 = (0::'a::idom) \<longleftrightarrow> n \<noteq> 0 \<and> a$0 = 0"
apply (rule iffI)
apply (induct n)
apply (auto simp add: fps_mult_nth)
apply (rule startsby_zero_power, simp_all)
done
lemma startsby_zero_power_prefix:
assumes a0: "a $ 0 = (0::'a::idom)"
shows "\<forall>n < k. a ^ k $ n = 0"
using a0
proof (induct k rule: nat_less_induct)
fix k
assume H: "\<forall>m<k. a $0 = 0 \<longrightarrow> (\<forall>n<m. a ^ m $ n = 0)" and a0: "a $ 0 = 0"
show "\<forall>m<k. a ^ k $ m = 0"
proof (cases k)
case 0
then show ?thesis by simp
next
case (Suc l)
have "a^k $ m = 0" if mk: "m < k" for m
proof (cases "m = 0")
case True
then show ?thesis
using startsby_zero_power[of a k] Suc a0 by simp
next
case False
have "a ^k $ m = (a^l * a) $m"
by (simp add: Suc mult.commute)
also have "\<dots> = (\<Sum>i = 0..m. a ^ l $ i * a $ (m - i))"
by (simp add: fps_mult_nth)
also have "\<dots> = 0"
apply (rule sum.neutral)
apply auto
apply (case_tac "x = m")
using a0 apply simp
apply (rule H[rule_format])
using a0 Suc mk apply auto
done
finally show ?thesis .
qed
then show ?thesis by blast
qed
qed
lemma startsby_zero_sum_depends:
assumes a0: "a $0 = (0::'a::idom)"
and kn: "n \<ge> k"
shows "sum (\<lambda>i. (a ^ i)$k) {0 .. n} = sum (\<lambda>i. (a ^ i)$k) {0 .. k}"
apply (rule sum.mono_neutral_right)
using kn
apply auto
apply (rule startsby_zero_power_prefix[rule_format, OF a0])
apply arith
done
lemma startsby_zero_power_nth_same:
assumes a0: "a$0 = (0::'a::idom)"
shows "a^n $ n = (a$1) ^ n"
proof (induct n)
case 0
then show ?case by simp
next
case (Suc n)
have "a ^ Suc n $ (Suc n) = (a^n * a)$(Suc n)"
by (simp add: field_simps)
also have "\<dots> = sum (\<lambda>i. a^n$i * a $ (Suc n - i)) {0.. Suc n}"
by (simp add: fps_mult_nth)
also have "\<dots> = sum (\<lambda>i. a^n$i * a $ (Suc n - i)) {n .. Suc n}"
apply (rule sum.mono_neutral_right)
apply simp
apply clarsimp
apply clarsimp
apply (rule startsby_zero_power_prefix[rule_format, OF a0])
apply arith
done
also have "\<dots> = a^n $ n * a$1"
using a0 by simp
finally show ?case
using Suc.hyps by simp
qed
lemma fps_inverse_power:
fixes a :: "'a::field fps"
shows "inverse (a^n) = inverse a ^ n"
by (induction n) (simp_all add: fps_inverse_mult)
lemma fps_deriv_power:
"fps_deriv (a ^ n) = fps_const (of_nat n :: 'a::comm_ring_1) * fps_deriv a * a ^ (n - 1)"
apply (induct n)
apply (auto simp add: field_simps fps_const_add[symmetric] simp del: fps_const_add)
apply (case_tac n)
apply (auto simp add: field_simps)
done
lemma fps_inverse_deriv:
fixes a :: "'a::field fps"
assumes a0: "a$0 \<noteq> 0"
shows "fps_deriv (inverse a) = - fps_deriv a * (inverse a)\<^sup>2"
proof -
from inverse_mult_eq_1[OF a0]
have "fps_deriv (inverse a * a) = 0" by simp
then have "inverse a * fps_deriv a + fps_deriv (inverse a) * a = 0"
by simp
then have "inverse a * (inverse a * fps_deriv a + fps_deriv (inverse a) * a) = 0"
by simp
with inverse_mult_eq_1[OF a0]
have "(inverse a)\<^sup>2 * fps_deriv a + fps_deriv (inverse a) = 0"
unfolding power2_eq_square
apply (simp add: field_simps)
apply (simp add: mult.assoc[symmetric])
done
then have "(inverse a)\<^sup>2 * fps_deriv a + fps_deriv (inverse a) - fps_deriv a * (inverse a)\<^sup>2 =
0 - fps_deriv a * (inverse a)\<^sup>2"
by simp
then show "fps_deriv (inverse a) = - fps_deriv a * (inverse a)\<^sup>2"
by (simp add: field_simps)
qed
lemma fps_inverse_deriv':
fixes a :: "'a::field fps"
assumes a0: "a $ 0 \<noteq> 0"
shows "fps_deriv (inverse a) = - fps_deriv a / a\<^sup>2"
using fps_inverse_deriv[OF a0] a0
by (simp add: fps_divide_unit power2_eq_square fps_inverse_mult)
lemma inverse_mult_eq_1':
assumes f0: "f$0 \<noteq> (0::'a::field)"
shows "f * inverse f = 1"
by (metis mult.commute inverse_mult_eq_1 f0)
lemma fps_inverse_minus [simp]: "inverse (-f) = -inverse (f :: 'a :: field fps)"
by (cases "f$0 = 0") (auto intro: fps_inverse_unique simp: inverse_mult_eq_1' fps_inverse_eq_0)
lemma divide_fps_const [simp]: "f / fps_const (c :: 'a :: field) = fps_const (inverse c) * f"
by (cases "c = 0") (simp_all add: fps_divide_unit fps_const_inverse)
(* FIfps_XME: The last part of this proof should go through by simp once we have a proper
theorem collection for simplifying division on rings *)
lemma fps_divide_deriv:
assumes "b dvd (a :: 'a :: field fps)"
shows "fps_deriv (a / b) = (fps_deriv a * b - a * fps_deriv b) / b^2"
proof -
have eq_divide_imp: "c \<noteq> 0 \<Longrightarrow> a * c = b \<Longrightarrow> a = b div c" for a b c :: "'a :: field fps"
by (drule sym) (simp add: mult.assoc)
from assms have "a = a / b * b" by simp
also have "fps_deriv (a / b * b) = fps_deriv (a / b) * b + a / b * fps_deriv b" by simp
finally have "fps_deriv (a / b) * b^2 = fps_deriv a * b - a * fps_deriv b" using assms
by (simp add: power2_eq_square algebra_simps)
thus ?thesis by (cases "b = 0") (auto simp: eq_divide_imp)
qed
lemma fps_inverse_gp': "inverse (Abs_fps (\<lambda>n. 1::'a::field)) = 1 - fps_X"
by (simp add: fps_inverse_gp fps_eq_iff fps_X_def)
lemma fps_one_over_one_minus_fps_X_squared:
"inverse ((1 - fps_X)^2 :: 'a :: field fps) = Abs_fps (\<lambda>n. of_nat (n+1))"
proof -
have "inverse ((1 - fps_X)^2 :: 'a fps) = fps_deriv (inverse (1 - fps_X))"
by (subst fps_inverse_deriv) (simp_all add: fps_inverse_power)
also have "inverse (1 - fps_X :: 'a fps) = Abs_fps (\<lambda>_. 1)"
by (subst fps_inverse_gp' [symmetric]) simp
also have "fps_deriv \<dots> = Abs_fps (\<lambda>n. of_nat (n + 1))"
by (simp add: fps_deriv_def)
finally show ?thesis .
qed
lemma fps_nth_deriv_fps_X[simp]: "fps_nth_deriv n fps_X = (if n = 0 then fps_X else if n=1 then 1 else 0)"
by (cases n) simp_all
lemma fps_inverse_fps_X_plus1: "inverse (1 + fps_X) = Abs_fps (\<lambda>n. (- (1::'a::field)) ^ n)"
(is "_ = ?r")
proof -
have eq: "(1 + fps_X) * ?r = 1"
unfolding minus_one_power_iff
by (auto simp add: field_simps fps_eq_iff)
show ?thesis
by (auto simp add: eq intro: fps_inverse_unique)
qed
subsection \<open>Integration\<close>
definition fps_integral :: "'a::field_char_0 fps \<Rightarrow> 'a \<Rightarrow> 'a fps"
where "fps_integral a a0 = Abs_fps (\<lambda>n. if n = 0 then a0 else (a$(n - 1) / of_nat n))"
lemma fps_deriv_fps_integral: "fps_deriv (fps_integral a a0) = a"
unfolding fps_integral_def fps_deriv_def
by (simp add: fps_eq_iff del: of_nat_Suc)
lemma fps_integral_linear:
"fps_integral (fps_const a * f + fps_const b * g) (a*a0 + b*b0) =
fps_const a * fps_integral f a0 + fps_const b * fps_integral g b0"
(is "?l = ?r")
proof -
have "fps_deriv ?l = fps_deriv ?r"
by (simp add: fps_deriv_fps_integral)
moreover have "?l$0 = ?r$0"
by (simp add: fps_integral_def)
ultimately show ?thesis
unfolding fps_deriv_eq_iff by auto
qed
subsection \<open>Composition of FPSs\<close>
definition fps_compose :: "'a::semiring_1 fps \<Rightarrow> 'a fps \<Rightarrow> 'a fps" (infixl "oo" 55)
where "a oo b = Abs_fps (\<lambda>n. sum (\<lambda>i. a$i * (b^i$n)) {0..n})"
lemma fps_compose_nth: "(a oo b)$n = sum (\<lambda>i. a$i * (b^i$n)) {0..n}"
by (simp add: fps_compose_def)
lemma fps_compose_nth_0 [simp]: "(f oo g) $ 0 = f $ 0"
by (simp add: fps_compose_nth)
lemma fps_compose_fps_X[simp]: "a oo fps_X = (a :: 'a::comm_ring_1 fps)"
by (simp add: fps_ext fps_compose_def mult_delta_right sum.delta')
lemma fps_const_compose[simp]: "fps_const (a::'a::comm_ring_1) oo b = fps_const a"
by (simp add: fps_eq_iff fps_compose_nth mult_delta_left sum.delta)
lemma numeral_compose[simp]: "(numeral k :: 'a::comm_ring_1 fps) oo b = numeral k"
unfolding numeral_fps_const by simp
lemma neg_numeral_compose[simp]: "(- numeral k :: 'a::comm_ring_1 fps) oo b = - numeral k"
unfolding neg_numeral_fps_const by simp
lemma fps_X_fps_compose_startby0[simp]: "a$0 = 0 \<Longrightarrow> fps_X oo a = (a :: 'a::comm_ring_1 fps)"
by (simp add: fps_eq_iff fps_compose_def mult_delta_left sum.delta not_le)
subsection \<open>Rules from Herbert Wilf's Generatingfunctionology\<close>
subsubsection \<open>Rule 1\<close>
(* {a_{n+k}}_0^infty Corresponds to (f - sum (\<lambda>i. a_i * x^i))/x^h, for h>0*)
lemma fps_power_mult_eq_shift:
"fps_X^Suc k * Abs_fps (\<lambda>n. a (n + Suc k)) =
Abs_fps a - sum (\<lambda>i. fps_const (a i :: 'a::comm_ring_1) * fps_X^i) {0 .. k}"
(is "?lhs = ?rhs")
proof -
have "?lhs $ n = ?rhs $ n" for n :: nat
proof -
have "?lhs $ n = (if n < Suc k then 0 else a n)"
unfolding fps_X_power_mult_nth by auto
also have "\<dots> = ?rhs $ n"
proof (induct k)
case 0
then show ?case
by (simp add: fps_sum_nth)
next
case (Suc k)
have "(Abs_fps a - sum (\<lambda>i. fps_const (a i :: 'a) * fps_X^i) {0 .. Suc k})$n =
(Abs_fps a - sum (\<lambda>i. fps_const (a i :: 'a) * fps_X^i) {0 .. k} -
fps_const (a (Suc k)) * fps_X^ Suc k) $ n"
by (simp add: field_simps)
also have "\<dots> = (if n < Suc k then 0 else a n) - (fps_const (a (Suc k)) * fps_X^ Suc k)$n"
using Suc.hyps[symmetric] unfolding fps_sub_nth by simp
also have "\<dots> = (if n < Suc (Suc k) then 0 else a n)"
unfolding fps_X_power_mult_right_nth
apply (auto simp add: not_less fps_const_def)
apply (rule cong[of a a, OF refl])
apply arith
done
finally show ?case
by simp
qed
finally show ?thesis .
qed
then show ?thesis
by (simp add: fps_eq_iff)
qed
subsubsection \<open>Rule 2\<close>
(* We can not reach the form of Wilf, but still near to it using rewrite rules*)
(* If f reprents {a_n} and P is a polynomial, then
P(xD) f represents {P(n) a_n}*)
definition "fps_XD = op * fps_X \<circ> fps_deriv"
lemma fps_XD_add[simp]:"fps_XD (a + b) = fps_XD a + fps_XD (b :: 'a::comm_ring_1 fps)"
by (simp add: fps_XD_def field_simps)
lemma fps_XD_mult_const[simp]:"fps_XD (fps_const (c::'a::comm_ring_1) * a) = fps_const c * fps_XD a"
by (simp add: fps_XD_def field_simps)
lemma fps_XD_linear[simp]: "fps_XD (fps_const c * a + fps_const d * b) =
fps_const c * fps_XD a + fps_const d * fps_XD (b :: 'a::comm_ring_1 fps)"
by simp
lemma fps_XDN_linear:
"(fps_XD ^^ n) (fps_const c * a + fps_const d * b) =
fps_const c * (fps_XD ^^ n) a + fps_const d * (fps_XD ^^ n) (b :: 'a::comm_ring_1 fps)"
by (induct n) simp_all
lemma fps_mult_fps_X_deriv_shift: "fps_X* fps_deriv a = Abs_fps (\<lambda>n. of_nat n* a$n)"
by (simp add: fps_eq_iff)
lemma fps_mult_fps_XD_shift:
"(fps_XD ^^ k) (a :: 'a::comm_ring_1 fps) = Abs_fps (\<lambda>n. (of_nat n ^ k) * a$n)"
by (induct k arbitrary: a) (simp_all add: fps_XD_def fps_eq_iff field_simps del: One_nat_def)
subsubsection \<open>Rule 3\<close>
text \<open>Rule 3 is trivial and is given by \<open>fps_times_def\<close>.\<close>
subsubsection \<open>Rule 5 --- summation and "division" by (1 - fps_X)\<close>
lemma fps_divide_fps_X_minus1_sum_lemma:
"a = ((1::'a::comm_ring_1 fps) - fps_X) * Abs_fps (\<lambda>n. sum (\<lambda>i. a $ i) {0..n})"
proof -
let ?sa = "Abs_fps (\<lambda>n. sum (\<lambda>i. a $ i) {0..n})"
have th0: "\<And>i. (1 - (fps_X::'a fps)) $ i = (if i = 0 then 1 else if i = 1 then - 1 else 0)"
by simp
have "a$n = ((1 - fps_X) * ?sa) $ n" for n
proof (cases "n = 0")
case True
then show ?thesis
by (simp add: fps_mult_nth)
next
case False
then have u: "{0} \<union> ({1} \<union> {2..n}) = {0..n}" "{1} \<union> {2..n} = {1..n}"
"{0..n - 1} \<union> {n} = {0..n}"
by (auto simp: set_eq_iff)
have d: "{0} \<inter> ({1} \<union> {2..n}) = {}" "{1} \<inter> {2..n} = {}" "{0..n - 1} \<inter> {n} = {}"
using False by simp_all
have f: "finite {0}" "finite {1}" "finite {2 .. n}"
"finite {0 .. n - 1}" "finite {n}" by simp_all
have "((1 - fps_X) * ?sa) $ n = sum (\<lambda>i. (1 - fps_X)$ i * ?sa $ (n - i)) {0 .. n}"
by (simp add: fps_mult_nth)
also have "\<dots> = a$n"
unfolding th0
unfolding sum.union_disjoint[OF f(1) finite_UnI[OF f(2,3)] d(1), unfolded u(1)]
unfolding sum.union_disjoint[OF f(2) f(3) d(2)]
apply (simp)
unfolding sum.union_disjoint[OF f(4,5) d(3), unfolded u(3)]
apply simp
done
finally show ?thesis
by simp
qed
then show ?thesis
unfolding fps_eq_iff by blast
qed
lemma fps_divide_fps_X_minus1_sum:
"a /((1::'a::field fps) - fps_X) = Abs_fps (\<lambda>n. sum (\<lambda>i. a $ i) {0..n})"
proof -
let ?fps_X = "1 - (fps_X::'a fps)"
have th0: "?fps_X $ 0 \<noteq> 0"
by simp
have "a /?fps_X = ?fps_X * Abs_fps (\<lambda>n::nat. sum (op $ a) {0..n}) * inverse ?fps_X"
using fps_divide_fps_X_minus1_sum_lemma[of a, symmetric] th0
by (simp add: fps_divide_def mult.assoc)
also have "\<dots> = (inverse ?fps_X * ?fps_X) * Abs_fps (\<lambda>n::nat. sum (op $ a) {0..n}) "
by (simp add: ac_simps)
finally show ?thesis
by (simp add: inverse_mult_eq_1[OF th0])
qed
subsubsection \<open>Rule 4 in its more general form: generalizes Rule 3 for an arbitrary
finite product of FPS, also the relvant instance of powers of a FPS\<close>
definition "natpermute n k = {l :: nat list. length l = k \<and> sum_list l = n}"
lemma natlist_trivial_1: "natpermute n 1 = {[n]}"
apply (auto simp add: natpermute_def)
apply (case_tac x)
apply auto
done
lemma append_natpermute_less_eq:
assumes "xs @ ys \<in> natpermute n k"
shows "sum_list xs \<le> n"
and "sum_list ys \<le> n"
proof -
from assms have "sum_list (xs @ ys) = n"
by (simp add: natpermute_def)
then have "sum_list xs + sum_list ys = n"
by simp
then show "sum_list xs \<le> n" and "sum_list ys \<le> n"
by simp_all
qed
lemma natpermute_split:
assumes "h \<le> k"
shows "natpermute n k =
(\<Union>m \<in>{0..n}. {l1 @ l2 |l1 l2. l1 \<in> natpermute m h \<and> l2 \<in> natpermute (n - m) (k - h)})"
(is "?L = ?R" is "_ = (\<Union>m \<in>{0..n}. ?S m)")
proof
show "?R \<subseteq> ?L"
proof
fix l
assume l: "l \<in> ?R"
from l obtain m xs ys where h: "m \<in> {0..n}"
and xs: "xs \<in> natpermute m h"
and ys: "ys \<in> natpermute (n - m) (k - h)"
and leq: "l = xs@ys" by blast
from xs have xs': "sum_list xs = m"
by (simp add: natpermute_def)
from ys have ys': "sum_list ys = n - m"
by (simp add: natpermute_def)
show "l \<in> ?L" using leq xs ys h
apply (clarsimp simp add: natpermute_def)
unfolding xs' ys'
using assms xs ys
unfolding natpermute_def
apply simp
done
qed
show "?L \<subseteq> ?R"
proof
fix l
assume l: "l \<in> natpermute n k"
let ?xs = "take h l"
let ?ys = "drop h l"
let ?m = "sum_list ?xs"
from l have ls: "sum_list (?xs @ ?ys) = n"
by (simp add: natpermute_def)
have xs: "?xs \<in> natpermute ?m h" using l assms
by (simp add: natpermute_def)
have l_take_drop: "sum_list l = sum_list (take h l @ drop h l)"
by simp
then have ys: "?ys \<in> natpermute (n - ?m) (k - h)"
using l assms ls by (auto simp add: natpermute_def simp del: append_take_drop_id)
from ls have m: "?m \<in> {0..n}"
by (simp add: l_take_drop del: append_take_drop_id)
from xs ys ls show "l \<in> ?R"
apply auto
apply (rule bexI [where x = "?m"])
apply (rule exI [where x = "?xs"])
apply (rule exI [where x = "?ys"])
using ls l
apply (auto simp add: natpermute_def l_take_drop simp del: append_take_drop_id)
apply simp
done
qed
qed
lemma natpermute_0: "natpermute n 0 = (if n = 0 then {[]} else {})"
by (auto simp add: natpermute_def)
lemma natpermute_0'[simp]: "natpermute 0 k = (if k = 0 then {[]} else {replicate k 0})"
apply (auto simp add: set_replicate_conv_if natpermute_def)
apply (rule nth_equalityI)
apply simp_all
done
lemma natpermute_finite: "finite (natpermute n k)"
proof (induct k arbitrary: n)
case 0
then show ?case
apply (subst natpermute_split[of 0 0, simplified])
apply (simp add: natpermute_0)
done
next
case (Suc k)
then show ?case unfolding natpermute_split [of k "Suc k", simplified]
apply -
apply (rule finite_UN_I)
apply simp
unfolding One_nat_def[symmetric] natlist_trivial_1
apply simp
done
qed
lemma natpermute_contain_maximal:
"{xs \<in> natpermute n (k + 1). n \<in> set xs} = (\<Union>i\<in>{0 .. k}. {(replicate (k + 1) 0) [i:=n]})"
(is "?A = ?B")
proof
show "?A \<subseteq> ?B"
proof
fix xs
assume "xs \<in> ?A"
then have H: "xs \<in> natpermute n (k + 1)" and n: "n \<in> set xs"
by blast+
then obtain i where i: "i \<in> {0.. k}" "xs!i = n"
unfolding in_set_conv_nth by (auto simp add: less_Suc_eq_le natpermute_def)
have eqs: "({0..k} - {i}) \<union> {i} = {0..k}"
using i by auto
have f: "finite({0..k} - {i})" "finite {i}"
by auto
have d: "({0..k} - {i}) \<inter> {i} = {}"
using i by auto
from H have "n = sum (nth xs) {0..k}"
apply (simp add: natpermute_def)
apply (auto simp add: atLeastLessThanSuc_atLeastAtMost sum_list_sum_nth)
done
also have "\<dots> = n + sum (nth xs) ({0..k} - {i})"
unfolding sum.union_disjoint[OF f d, unfolded eqs] using i by simp
finally have zxs: "\<forall> j\<in> {0..k} - {i}. xs!j = 0"
by auto
from H have xsl: "length xs = k+1"
by (simp add: natpermute_def)
from i have i': "i < length (replicate (k+1) 0)" "i < k+1"
unfolding length_replicate by presburger+
have "xs = replicate (k+1) 0 [i := n]"
apply (rule nth_equalityI)
unfolding xsl length_list_update length_replicate
apply simp
apply clarify
unfolding nth_list_update[OF i'(1)]
using i zxs
apply (case_tac "ia = i")
apply (auto simp del: replicate.simps)
done
then show "xs \<in> ?B" using i by blast
qed
show "?B \<subseteq> ?A"
proof
fix xs
assume "xs \<in> ?B"
then obtain i where i: "i \<in> {0..k}" and xs: "xs = replicate (k + 1) 0 [i:=n]"
by auto
have nxs: "n \<in> set xs"
unfolding xs
apply (rule set_update_memI)
using i apply simp
done
have xsl: "length xs = k + 1"
by (simp only: xs length_replicate length_list_update)
have "sum_list xs = sum (nth xs) {0..<k+1}"
unfolding sum_list_sum_nth xsl ..
also have "\<dots> = sum (\<lambda>j. if j = i then n else 0) {0..< k+1}"
by (rule sum.cong) (simp_all add: xs del: replicate.simps)
also have "\<dots> = n" using i by (simp add: sum.delta)
finally have "xs \<in> natpermute n (k + 1)"
using xsl unfolding natpermute_def mem_Collect_eq by blast
then show "xs \<in> ?A"
using nxs by blast
qed
qed
text \<open>The general form.\<close>
lemma fps_prod_nth:
fixes m :: nat
and a :: "nat \<Rightarrow> 'a::comm_ring_1 fps"
shows "(prod a {0 .. m}) $ n =
sum (\<lambda>v. prod (\<lambda>j. (a j) $ (v!j)) {0..m}) (natpermute n (m+1))"
(is "?P m n")
proof (induct m arbitrary: n rule: nat_less_induct)
fix m n assume H: "\<forall>m' < m. \<forall>n. ?P m' n"
show "?P m n"
proof (cases m)
case 0
then show ?thesis
apply simp
unfolding natlist_trivial_1[where n = n, unfolded One_nat_def]
apply simp
done
next
case (Suc k)
then have km: "k < m" by arith
have u0: "{0 .. k} \<union> {m} = {0..m}"
using Suc by (simp add: set_eq_iff) presburger
have f0: "finite {0 .. k}" "finite {m}" by auto
have d0: "{0 .. k} \<inter> {m} = {}" using Suc by auto
have "(prod a {0 .. m}) $ n = (prod a {0 .. k} * a m) $ n"
unfolding prod.union_disjoint[OF f0 d0, unfolded u0] by simp
also have "\<dots> = (\<Sum>i = 0..n. (\<Sum>v\<in>natpermute i (k + 1). \<Prod>j\<in>{0..k}. a j $ v ! j) * a m $ (n - i))"
unfolding fps_mult_nth H[rule_format, OF km] ..
also have "\<dots> = (\<Sum>v\<in>natpermute n (m + 1). \<Prod>j\<in>{0..m}. a j $ v ! j)"
apply (simp add: Suc)
unfolding natpermute_split[of m "m + 1", simplified, of n,
unfolded natlist_trivial_1[unfolded One_nat_def] Suc]
apply (subst sum.UNION_disjoint)
apply simp
apply simp
unfolding image_Collect[symmetric]
apply clarsimp
apply (rule finite_imageI)
apply (rule natpermute_finite)
apply (clarsimp simp add: set_eq_iff)
apply auto
apply (rule sum.cong)
apply (rule refl)
unfolding sum_distrib_right
apply (rule sym)
apply (rule_tac l = "\<lambda>xs. xs @ [n - x]" in sum.reindex_cong)
apply (simp add: inj_on_def)
apply auto
unfolding prod.union_disjoint[OF f0 d0, unfolded u0, unfolded Suc]
apply (clarsimp simp add: natpermute_def nth_append)
done
finally show ?thesis .
qed
qed
text \<open>The special form for powers.\<close>
lemma fps_power_nth_Suc:
fixes m :: nat
and a :: "'a::comm_ring_1 fps"
shows "(a ^ Suc m)$n = sum (\<lambda>v. prod (\<lambda>j. a $ (v!j)) {0..m}) (natpermute n (m+1))"
proof -
have th0: "a^Suc m = prod (\<lambda>i. a) {0..m}"
by (simp add: prod_constant)
show ?thesis unfolding th0 fps_prod_nth ..
qed
lemma fps_power_nth:
fixes m :: nat
and a :: "'a::comm_ring_1 fps"
shows "(a ^m)$n =
(if m=0 then 1$n else sum (\<lambda>v. prod (\<lambda>j. a $ (v!j)) {0..m - 1}) (natpermute n m))"
by (cases m) (simp_all add: fps_power_nth_Suc del: power_Suc)
lemma fps_nth_power_0:
fixes m :: nat
and a :: "'a::comm_ring_1 fps"
shows "(a ^m)$0 = (a$0) ^ m"
proof (cases m)
case 0
then show ?thesis by simp
next
case (Suc n)
then have c: "m = card {0..n}" by simp
have "(a ^m)$0 = prod (\<lambda>i. a$0) {0..n}"
by (simp add: Suc fps_power_nth del: replicate.simps power_Suc)
also have "\<dots> = (a$0) ^ m"
unfolding c by (rule prod_constant)
finally show ?thesis .
qed
lemma natpermute_max_card:
assumes n0: "n \<noteq> 0"
shows "card {xs \<in> natpermute n (k + 1). n \<in> set xs} = k + 1"
unfolding natpermute_contain_maximal
proof -
let ?A = "\<lambda>i. {replicate (k + 1) 0[i := n]}"
let ?K = "{0 ..k}"
have fK: "finite ?K"
by simp
have fAK: "\<forall>i\<in>?K. finite (?A i)"
by auto
have d: "\<forall>i\<in> ?K. \<forall>j\<in> ?K. i \<noteq> j \<longrightarrow>
{replicate (k + 1) 0[i := n]} \<inter> {replicate (k + 1) 0[j := n]} = {}"
proof clarify
fix i j
assume i: "i \<in> ?K" and j: "j \<in> ?K" and ij: "i \<noteq> j"
have False if eq: "replicate (k+1) 0 [i:=n] = replicate (k+1) 0 [j:= n]"
proof -
have "(replicate (k+1) 0 [i:=n] ! i) = n"
using i by (simp del: replicate.simps)
moreover
have "(replicate (k+1) 0 [j:=n] ! i) = 0"
using i ij by (simp del: replicate.simps)
ultimately show ?thesis
using eq n0 by (simp del: replicate.simps)
qed
then show "{replicate (k + 1) 0[i := n]} \<inter> {replicate (k + 1) 0[j := n]} = {}"
by auto
qed
from card_UN_disjoint[OF fK fAK d]
show "card (\<Union>i\<in>{0..k}. {replicate (k + 1) 0[i := n]}) = k + 1"
by simp
qed
lemma fps_power_Suc_nth:
fixes f :: "'a :: comm_ring_1 fps"
assumes k: "k > 0"
shows "(f ^ Suc m) $ k =
of_nat (Suc m) * (f $ k * (f $ 0) ^ m) +
(\<Sum>v\<in>{v\<in>natpermute k (m+1). k \<notin> set v}. \<Prod>j = 0..m. f $ v ! j)"
proof -
define A B
where "A = {v\<in>natpermute k (m+1). k \<in> set v}"
and "B = {v\<in>natpermute k (m+1). k \<notin> set v}"
have [simp]: "finite A" "finite B" "A \<inter> B = {}" by (auto simp: A_def B_def natpermute_finite)
from natpermute_max_card[of k m] k have card_A: "card A = m + 1" by (simp add: A_def)
{
fix v assume v: "v \<in> A"
from v have [simp]: "length v = Suc m" by (simp add: A_def natpermute_def)
from v have "\<exists>j. j \<le> m \<and> v ! j = k"
by (auto simp: set_conv_nth A_def natpermute_def less_Suc_eq_le)
then guess j by (elim exE conjE) note j = this
from v have "k = sum_list v" by (simp add: A_def natpermute_def)
also have "\<dots> = (\<Sum>i=0..m. v ! i)"
by (simp add: sum_list_sum_nth atLeastLessThanSuc_atLeastAtMost del: sum_op_ivl_Suc)
also from j have "{0..m} = insert j ({0..m}-{j})" by auto
also from j have "(\<Sum>i\<in>\<dots>. v ! i) = k + (\<Sum>i\<in>{0..m}-{j}. v ! i)"
by (subst sum.insert) simp_all
finally have "(\<Sum>i\<in>{0..m}-{j}. v ! i) = 0" by simp
hence zero: "v ! i = 0" if "i \<in> {0..m}-{j}" for i using that
by (subst (asm) sum_eq_0_iff) auto
from j have "{0..m} = insert j ({0..m} - {j})" by auto
also from j have "(\<Prod>i\<in>\<dots>. f $ (v ! i)) = f $ k * (\<Prod>i\<in>{0..m} - {j}. f $ (v ! i))"
by (subst prod.insert) auto
also have "(\<Prod>i\<in>{0..m} - {j}. f $ (v ! i)) = (\<Prod>i\<in>{0..m} - {j}. f $ 0)"
by (intro prod.cong) (simp_all add: zero)
also from j have "\<dots> = (f $ 0) ^ m" by (subst prod_constant) simp_all
finally have "(\<Prod>j = 0..m. f $ (v ! j)) = f $ k * (f $ 0) ^ m" .
} note A = this
have "(f ^ Suc m) $ k = (\<Sum>v\<in>natpermute k (m + 1). \<Prod>j = 0..m. f $ v ! j)"
by (rule fps_power_nth_Suc)
also have "natpermute k (m+1) = A \<union> B" unfolding A_def B_def by blast
also have "(\<Sum>v\<in>\<dots>. \<Prod>j = 0..m. f $ (v ! j)) =
(\<Sum>v\<in>A. \<Prod>j = 0..m. f $ (v ! j)) + (\<Sum>v\<in>B. \<Prod>j = 0..m. f $ (v ! j))"
by (intro sum.union_disjoint) simp_all
also have "(\<Sum>v\<in>A. \<Prod>j = 0..m. f $ (v ! j)) = of_nat (Suc m) * (f $ k * (f $ 0) ^ m)"
by (simp add: A card_A)
finally show ?thesis by (simp add: B_def)
qed
lemma fps_power_Suc_eqD:
fixes f g :: "'a :: {idom,semiring_char_0} fps"
assumes "f ^ Suc m = g ^ Suc m" "f $ 0 = g $ 0" "f $ 0 \<noteq> 0"
shows "f = g"
proof (rule fps_ext)
fix k :: nat
show "f $ k = g $ k"
proof (induction k rule: less_induct)
case (less k)
show ?case
proof (cases "k = 0")
case False
let ?h = "\<lambda>f. (\<Sum>v | v \<in> natpermute k (m + 1) \<and> k \<notin> set v. \<Prod>j = 0..m. f $ v ! j)"
from False fps_power_Suc_nth[of k f m] fps_power_Suc_nth[of k g m]
have "f $ k * (of_nat (Suc m) * (f $ 0) ^ m) + ?h f =
g $ k * (of_nat (Suc m) * (f $ 0) ^ m) + ?h g" using assms
by (simp add: mult_ac del: power_Suc of_nat_Suc)
also have "v ! i < k" if "v \<in> {v\<in>natpermute k (m+1). k \<notin> set v}" "i \<le> m" for v i
using that elem_le_sum_list[of i v] unfolding natpermute_def
by (auto simp: set_conv_nth dest!: spec[of _ i])
hence "?h f = ?h g"
by (intro sum.cong refl prod.cong less lessI) (auto simp: natpermute_def)
finally have "f $ k * (of_nat (Suc m) * (f $ 0) ^ m) = g $ k * (of_nat (Suc m) * (f $ 0) ^ m)"
by simp
with assms show "f $ k = g $ k"
by (subst (asm) mult_right_cancel) (auto simp del: of_nat_Suc)
qed (simp_all add: assms)
qed
qed
lemma fps_power_Suc_eqD':
fixes f g :: "'a :: {idom,semiring_char_0} fps"
assumes "f ^ Suc m = g ^ Suc m" "f $ subdegree f = g $ subdegree g"
shows "f = g"
proof (cases "f = 0")
case False
have "Suc m * subdegree f = subdegree (f ^ Suc m)"
by (rule subdegree_power [symmetric])
also have "f ^ Suc m = g ^ Suc m" by fact
also have "subdegree \<dots> = Suc m * subdegree g" by (rule subdegree_power)
finally have [simp]: "subdegree f = subdegree g"
by (subst (asm) Suc_mult_cancel1)
have "fps_shift (subdegree f) f * fps_X ^ subdegree f = f"
by (rule subdegree_decompose [symmetric])
also have "\<dots> ^ Suc m = g ^ Suc m" by fact
also have "g = fps_shift (subdegree g) g * fps_X ^ subdegree g"
by (rule subdegree_decompose)
also have "subdegree f = subdegree g" by fact
finally have "fps_shift (subdegree g) f ^ Suc m = fps_shift (subdegree g) g ^ Suc m"
by (simp add: algebra_simps power_mult_distrib del: power_Suc)
hence "fps_shift (subdegree g) f = fps_shift (subdegree g) g"
by (rule fps_power_Suc_eqD) (insert assms False, auto)
with subdegree_decompose[of f] subdegree_decompose[of g] show ?thesis by simp
qed (insert assms, simp_all)
lemma fps_power_eqD':
fixes f g :: "'a :: {idom,semiring_char_0} fps"
assumes "f ^ m = g ^ m" "f $ subdegree f = g $ subdegree g" "m > 0"
shows "f = g"
using fps_power_Suc_eqD'[of f "m-1" g] assms by simp
lemma fps_power_eqD:
fixes f g :: "'a :: {idom,semiring_char_0} fps"
assumes "f ^ m = g ^ m" "f $ 0 = g $ 0" "f $ 0 \<noteq> 0" "m > 0"
shows "f = g"
by (rule fps_power_eqD'[of f m g]) (insert assms, simp_all)
lemma fps_compose_inj_right:
assumes a0: "a$0 = (0::'a::idom)"
and a1: "a$1 \<noteq> 0"
shows "(b oo a = c oo a) \<longleftrightarrow> b = c"
(is "?lhs \<longleftrightarrow>?rhs")
proof
show ?lhs if ?rhs using that by simp
show ?rhs if ?lhs
proof -
have "b$n = c$n" for n
proof (induct n rule: nat_less_induct)
fix n
assume H: "\<forall>m<n. b$m = c$m"
show "b$n = c$n"
proof (cases n)
case 0
from \<open>?lhs\<close> have "(b oo a)$n = (c oo a)$n"
by simp
then show ?thesis
using 0 by (simp add: fps_compose_nth)
next
case (Suc n1)
have f: "finite {0 .. n1}" "finite {n}" by simp_all
have eq: "{0 .. n1} \<union> {n} = {0 .. n}" using Suc by auto
have d: "{0 .. n1} \<inter> {n} = {}" using Suc by auto
have seq: "(\<Sum>i = 0..n1. b $ i * a ^ i $ n) = (\<Sum>i = 0..n1. c $ i * a ^ i $ n)"
apply (rule sum.cong)
using H Suc
apply auto
done
have th0: "(b oo a) $n = (\<Sum>i = 0..n1. c $ i * a ^ i $ n) + b$n * (a$1)^n"
unfolding fps_compose_nth sum.union_disjoint[OF f d, unfolded eq] seq
using startsby_zero_power_nth_same[OF a0]
by simp
have th1: "(c oo a) $n = (\<Sum>i = 0..n1. c $ i * a ^ i $ n) + c$n * (a$1)^n"
unfolding fps_compose_nth sum.union_disjoint[OF f d, unfolded eq]
using startsby_zero_power_nth_same[OF a0]
by simp
from \<open>?lhs\<close>[unfolded fps_eq_iff, rule_format, of n] th0 th1 a1
show ?thesis by auto
qed
qed
then show ?rhs by (simp add: fps_eq_iff)
qed
qed
subsection \<open>Radicals\<close>
declare prod.cong [fundef_cong]
function radical :: "(nat \<Rightarrow> 'a \<Rightarrow> 'a) \<Rightarrow> nat \<Rightarrow> 'a::field fps \<Rightarrow> nat \<Rightarrow> 'a"
where
"radical r 0 a 0 = 1"
| "radical r 0 a (Suc n) = 0"
| "radical r (Suc k) a 0 = r (Suc k) (a$0)"
| "radical r (Suc k) a (Suc n) =
(a$ Suc n - sum (\<lambda>xs. prod (\<lambda>j. radical r (Suc k) a (xs ! j)) {0..k})
{xs. xs \<in> natpermute (Suc n) (Suc k) \<and> Suc n \<notin> set xs}) /
(of_nat (Suc k) * (radical r (Suc k) a 0)^k)"
by pat_completeness auto
termination radical
proof
let ?R = "measure (\<lambda>(r, k, a, n). n)"
{
show "wf ?R" by auto
next
fix r k a n xs i
assume xs: "xs \<in> {xs \<in> natpermute (Suc n) (Suc k). Suc n \<notin> set xs}" and i: "i \<in> {0..k}"
have False if c: "Suc n \<le> xs ! i"
proof -
from xs i have "xs !i \<noteq> Suc n"
by (auto simp add: in_set_conv_nth natpermute_def)
with c have c': "Suc n < xs!i" by arith
have fths: "finite {0 ..< i}" "finite {i}" "finite {i+1..<Suc k}"
by simp_all
have d: "{0 ..< i} \<inter> ({i} \<union> {i+1 ..< Suc k}) = {}" "{i} \<inter> {i+1..< Suc k} = {}"
by auto
have eqs: "{0..<Suc k} = {0 ..< i} \<union> ({i} \<union> {i+1 ..< Suc k})"
using i by auto
from xs have "Suc n = sum_list xs"
by (simp add: natpermute_def)
also have "\<dots> = sum (nth xs) {0..<Suc k}" using xs
by (simp add: natpermute_def sum_list_sum_nth)
also have "\<dots> = xs!i + sum (nth xs) {0..<i} + sum (nth xs) {i+1..<Suc k}"
unfolding eqs sum.union_disjoint[OF fths(1) finite_UnI[OF fths(2,3)] d(1)]
unfolding sum.union_disjoint[OF fths(2) fths(3) d(2)]
by simp
finally show ?thesis using c' by simp
qed
then show "((r, Suc k, a, xs!i), r, Suc k, a, Suc n) \<in> ?R"
apply auto
apply (metis not_less)
done
next
fix r k a n
show "((r, Suc k, a, 0), r, Suc k, a, Suc n) \<in> ?R" by simp
}
qed
definition "fps_radical r n a = Abs_fps (radical r n a)"
lemma fps_radical0[simp]: "fps_radical r 0 a = 1"
apply (auto simp add: fps_eq_iff fps_radical_def)
apply (case_tac n)
apply auto
done
lemma fps_radical_nth_0[simp]: "fps_radical r n a $ 0 = (if n = 0 then 1 else r n (a$0))"
by (cases n) (simp_all add: fps_radical_def)
lemma fps_radical_power_nth[simp]:
assumes r: "(r k (a$0)) ^ k = a$0"
shows "fps_radical r k a ^ k $ 0 = (if k = 0 then 1 else a$0)"
proof (cases k)
case 0
then show ?thesis by simp
next
case (Suc h)
have eq1: "fps_radical r k a ^ k $ 0 = (\<Prod>j\<in>{0..h}. fps_radical r k a $ (replicate k 0) ! j)"
unfolding fps_power_nth Suc by simp
also have "\<dots> = (\<Prod>j\<in>{0..h}. r k (a$0))"
apply (rule prod.cong)
apply simp
using Suc
apply (subgoal_tac "replicate k 0 ! x = 0")
apply (auto intro: nth_replicate simp del: replicate.simps)
done
also have "\<dots> = a$0"
using r Suc by (simp add: prod_constant)
finally show ?thesis
using Suc by simp
qed
lemma power_radical:
fixes a:: "'a::field_char_0 fps"
assumes a0: "a$0 \<noteq> 0"
shows "(r (Suc k) (a$0)) ^ Suc k = a$0 \<longleftrightarrow> (fps_radical r (Suc k) a) ^ (Suc k) = a"
(is "?lhs \<longleftrightarrow> ?rhs")
proof
let ?r = "fps_radical r (Suc k) a"
show ?rhs if r0: ?lhs
proof -
from a0 r0 have r00: "r (Suc k) (a$0) \<noteq> 0" by auto
have "?r ^ Suc k $ z = a$z" for z
proof (induct z rule: nat_less_induct)
fix n
assume H: "\<forall>m<n. ?r ^ Suc k $ m = a$m"
show "?r ^ Suc k $ n = a $n"
proof (cases n)
case 0
then show ?thesis
using fps_radical_power_nth[of r "Suc k" a, OF r0] by simp
next
case (Suc n1)
then have "n \<noteq> 0" by simp
let ?Pnk = "natpermute n (k + 1)"
let ?Pnkn = "{xs \<in> ?Pnk. n \<in> set xs}"
let ?Pnknn = "{xs \<in> ?Pnk. n \<notin> set xs}"
have eq: "?Pnkn \<union> ?Pnknn = ?Pnk" by blast
have d: "?Pnkn \<inter> ?Pnknn = {}" by blast
have f: "finite ?Pnkn" "finite ?Pnknn"
using finite_Un[of ?Pnkn ?Pnknn, unfolded eq]
by (metis natpermute_finite)+
let ?f = "\<lambda>v. \<Prod>j\<in>{0..k}. ?r $ v ! j"
have "sum ?f ?Pnkn = sum (\<lambda>v. ?r $ n * r (Suc k) (a $ 0) ^ k) ?Pnkn"
proof (rule sum.cong)
fix v assume v: "v \<in> {xs \<in> natpermute n (k + 1). n \<in> set xs}"
let ?ths = "(\<Prod>j\<in>{0..k}. fps_radical r (Suc k) a $ v ! j) =
fps_radical r (Suc k) a $ n * r (Suc k) (a $ 0) ^ k"
from v obtain i where i: "i \<in> {0..k}" "v = replicate (k+1) 0 [i:= n]"
unfolding natpermute_contain_maximal by auto
have "(\<Prod>j\<in>{0..k}. fps_radical r (Suc k) a $ v ! j) =
(\<Prod>j\<in>{0..k}. if j = i then fps_radical r (Suc k) a $ n else r (Suc k) (a$0))"
apply (rule prod.cong, simp)
using i r0
apply (simp del: replicate.simps)
done
also have "\<dots> = (fps_radical r (Suc k) a $ n) * r (Suc k) (a$0) ^ k"
using i r0 by (simp add: prod_gen_delta)
finally show ?ths .
qed rule
then have "sum ?f ?Pnkn = of_nat (k+1) * ?r $ n * r (Suc k) (a $ 0) ^ k"
by (simp add: natpermute_max_card[OF \<open>n \<noteq> 0\<close>, simplified])
also have "\<dots> = a$n - sum ?f ?Pnknn"
unfolding Suc using r00 a0 by (simp add: field_simps fps_radical_def del: of_nat_Suc)
finally have fn: "sum ?f ?Pnkn = a$n - sum ?f ?Pnknn" .
have "(?r ^ Suc k)$n = sum ?f ?Pnkn + sum ?f ?Pnknn"
unfolding fps_power_nth_Suc sum.union_disjoint[OF f d, unfolded eq] ..
also have "\<dots> = a$n" unfolding fn by simp
finally show ?thesis .
qed
qed
then show ?thesis using r0 by (simp add: fps_eq_iff)
qed
show ?lhs if ?rhs
proof -
from that have "((fps_radical r (Suc k) a) ^ (Suc k))$0 = a$0"
by simp
then show ?thesis
unfolding fps_power_nth_Suc
by (simp add: prod_constant del: replicate.simps)
qed
qed
(*
lemma power_radical:
fixes a:: "'a::field_char_0 fps"
assumes r0: "(r (Suc k) (a$0)) ^ Suc k = a$0" and a0: "a$0 \<noteq> 0"
shows "(fps_radical r (Suc k) a) ^ (Suc k) = a"
proof-
let ?r = "fps_radical r (Suc k) a"
from a0 r0 have r00: "r (Suc k) (a$0) \<noteq> 0" by auto
{fix z have "?r ^ Suc k $ z = a$z"
proof(induct z rule: nat_less_induct)
fix n assume H: "\<forall>m<n. ?r ^ Suc k $ m = a$m"
{assume "n = 0" then have "?r ^ Suc k $ n = a $n"
using fps_radical_power_nth[of r "Suc k" a, OF r0] by simp}
moreover
{fix n1 assume n1: "n = Suc n1"
have fK: "finite {0..k}" by simp
have nz: "n \<noteq> 0" using n1 by arith
let ?Pnk = "natpermute n (k + 1)"
let ?Pnkn = "{xs \<in> ?Pnk. n \<in> set xs}"
let ?Pnknn = "{xs \<in> ?Pnk. n \<notin> set xs}"
have eq: "?Pnkn \<union> ?Pnknn = ?Pnk" by blast
have d: "?Pnkn \<inter> ?Pnknn = {}" by blast
have f: "finite ?Pnkn" "finite ?Pnknn"
using finite_Un[of ?Pnkn ?Pnknn, unfolded eq]
by (metis natpermute_finite)+
let ?f = "\<lambda>v. \<Prod>j\<in>{0..k}. ?r $ v ! j"
have "sum ?f ?Pnkn = sum (\<lambda>v. ?r $ n * r (Suc k) (a $ 0) ^ k) ?Pnkn"
proof(rule sum.cong2)
fix v assume v: "v \<in> {xs \<in> natpermute n (k + 1). n \<in> set xs}"
let ?ths = "(\<Prod>j\<in>{0..k}. fps_radical r (Suc k) a $ v ! j) = fps_radical r (Suc k) a $ n * r (Suc k) (a $ 0) ^ k"
from v obtain i where i: "i \<in> {0..k}" "v = replicate (k+1) 0 [i:= n]"
unfolding natpermute_contain_maximal by auto
have "(\<Prod>j\<in>{0..k}. fps_radical r (Suc k) a $ v ! j) = (\<Prod>j\<in>{0..k}. if j = i then fps_radical r (Suc k) a $ n else r (Suc k) (a$0))"
apply (rule prod.cong, simp)
using i r0 by (simp del: replicate.simps)
also have "\<dots> = (fps_radical r (Suc k) a $ n) * r (Suc k) (a$0) ^ k"
unfolding prod_gen_delta[OF fK] using i r0 by simp
finally show ?ths .
qed
then have "sum ?f ?Pnkn = of_nat (k+1) * ?r $ n * r (Suc k) (a $ 0) ^ k"
by (simp add: natpermute_max_card[OF nz, simplified])
also have "\<dots> = a$n - sum ?f ?Pnknn"
unfolding n1 using r00 a0 by (simp add: field_simps fps_radical_def del: of_nat_Suc )
finally have fn: "sum ?f ?Pnkn = a$n - sum ?f ?Pnknn" .
have "(?r ^ Suc k)$n = sum ?f ?Pnkn + sum ?f ?Pnknn"
unfolding fps_power_nth_Suc sum.union_disjoint[OF f d, unfolded eq] ..
also have "\<dots> = a$n" unfolding fn by simp
finally have "?r ^ Suc k $ n = a $n" .}
ultimately show "?r ^ Suc k $ n = a $n" by (cases n, auto)
qed }
then show ?thesis by (simp add: fps_eq_iff)
qed
*)
lemma eq_divide_imp':
fixes c :: "'a::field"
shows "c \<noteq> 0 \<Longrightarrow> a * c = b \<Longrightarrow> a = b / c"
by (simp add: field_simps)
lemma radical_unique:
assumes r0: "(r (Suc k) (b$0)) ^ Suc k = b$0"
and a0: "r (Suc k) (b$0 ::'a::field_char_0) = a$0"
and b0: "b$0 \<noteq> 0"
shows "a^(Suc k) = b \<longleftrightarrow> a = fps_radical r (Suc k) b"
(is "?lhs \<longleftrightarrow> ?rhs" is "_ \<longleftrightarrow> a = ?r")
proof
show ?lhs if ?rhs
using that using power_radical[OF b0, of r k, unfolded r0] by simp
show ?rhs if ?lhs
proof -
have r00: "r (Suc k) (b$0) \<noteq> 0" using b0 r0 by auto
have ceq: "card {0..k} = Suc k" by simp
from a0 have a0r0: "a$0 = ?r$0" by simp
have "a $ n = ?r $ n" for n
proof (induct n rule: nat_less_induct)
fix n
assume h: "\<forall>m<n. a$m = ?r $m"
show "a$n = ?r $ n"
proof (cases n)
case 0
then show ?thesis using a0 by simp
next
case (Suc n1)
have fK: "finite {0..k}" by simp
have nz: "n \<noteq> 0" using Suc by simp
let ?Pnk = "natpermute n (Suc k)"
let ?Pnkn = "{xs \<in> ?Pnk. n \<in> set xs}"
let ?Pnknn = "{xs \<in> ?Pnk. n \<notin> set xs}"
have eq: "?Pnkn \<union> ?Pnknn = ?Pnk" by blast
have d: "?Pnkn \<inter> ?Pnknn = {}" by blast
have f: "finite ?Pnkn" "finite ?Pnknn"
using finite_Un[of ?Pnkn ?Pnknn, unfolded eq]
by (metis natpermute_finite)+
let ?f = "\<lambda>v. \<Prod>j\<in>{0..k}. ?r $ v ! j"
let ?g = "\<lambda>v. \<Prod>j\<in>{0..k}. a $ v ! j"
have "sum ?g ?Pnkn = sum (\<lambda>v. a $ n * (?r$0)^k) ?Pnkn"
proof (rule sum.cong)
fix v
assume v: "v \<in> {xs \<in> natpermute n (Suc k). n \<in> set xs}"
let ?ths = "(\<Prod>j\<in>{0..k}. a $ v ! j) = a $ n * (?r$0)^k"
from v obtain i where i: "i \<in> {0..k}" "v = replicate (k+1) 0 [i:= n]"
unfolding Suc_eq_plus1 natpermute_contain_maximal
by (auto simp del: replicate.simps)
have "(\<Prod>j\<in>{0..k}. a $ v ! j) = (\<Prod>j\<in>{0..k}. if j = i then a $ n else r (Suc k) (b$0))"
apply (rule prod.cong, simp)
using i a0
apply (simp del: replicate.simps)
done
also have "\<dots> = a $ n * (?r $ 0)^k"
using i by (simp add: prod_gen_delta)
finally show ?ths .
qed rule
then have th0: "sum ?g ?Pnkn = of_nat (k+1) * a $ n * (?r $ 0)^k"
by (simp add: natpermute_max_card[OF nz, simplified])
have th1: "sum ?g ?Pnknn = sum ?f ?Pnknn"
proof (rule sum.cong, rule refl, rule prod.cong, simp)
fix xs i
assume xs: "xs \<in> ?Pnknn" and i: "i \<in> {0..k}"
have False if c: "n \<le> xs ! i"
proof -
from xs i have "xs ! i \<noteq> n"
by (auto simp add: in_set_conv_nth natpermute_def)
with c have c': "n < xs!i" by arith
have fths: "finite {0 ..< i}" "finite {i}" "finite {i+1..<Suc k}"
by simp_all
have d: "{0 ..< i} \<inter> ({i} \<union> {i+1 ..< Suc k}) = {}" "{i} \<inter> {i+1..< Suc k} = {}"
by auto
have eqs: "{0..<Suc k} = {0 ..< i} \<union> ({i} \<union> {i+1 ..< Suc k})"
using i by auto
from xs have "n = sum_list xs"
by (simp add: natpermute_def)
also have "\<dots> = sum (nth xs) {0..<Suc k}"
using xs by (simp add: natpermute_def sum_list_sum_nth)
also have "\<dots> = xs!i + sum (nth xs) {0..<i} + sum (nth xs) {i+1..<Suc k}"
unfolding eqs sum.union_disjoint[OF fths(1) finite_UnI[OF fths(2,3)] d(1)]
unfolding sum.union_disjoint[OF fths(2) fths(3) d(2)]
by simp
finally show ?thesis using c' by simp
qed
then have thn: "xs!i < n" by presburger
from h[rule_format, OF thn] show "a$(xs !i) = ?r$(xs!i)" .
qed
have th00: "\<And>x::'a. of_nat (Suc k) * (x * inverse (of_nat (Suc k))) = x"
by (simp add: field_simps del: of_nat_Suc)
from \<open>?lhs\<close> have "b$n = a^Suc k $ n"
by (simp add: fps_eq_iff)
also have "a ^ Suc k$n = sum ?g ?Pnkn + sum ?g ?Pnknn"
unfolding fps_power_nth_Suc
using sum.union_disjoint[OF f d, unfolded Suc_eq_plus1[symmetric],
unfolded eq, of ?g] by simp
also have "\<dots> = of_nat (k+1) * a $ n * (?r $ 0)^k + sum ?f ?Pnknn"
unfolding th0 th1 ..
finally have "of_nat (k+1) * a $ n * (?r $ 0)^k = b$n - sum ?f ?Pnknn"
by simp
then have "a$n = (b$n - sum ?f ?Pnknn) / (of_nat (k+1) * (?r $ 0)^k)"
apply -
apply (rule eq_divide_imp')
using r00
apply (simp del: of_nat_Suc)
apply (simp add: ac_simps)
done
then show ?thesis
apply (simp del: of_nat_Suc)
unfolding fps_radical_def Suc
apply (simp add: field_simps Suc th00 del: of_nat_Suc)
done
qed
qed
then show ?rhs by (simp add: fps_eq_iff)
qed
qed
lemma radical_power:
assumes r0: "r (Suc k) ((a$0) ^ Suc k) = a$0"
and a0: "(a$0 :: 'a::field_char_0) \<noteq> 0"
shows "(fps_radical r (Suc k) (a ^ Suc k)) = a"
proof -
let ?ak = "a^ Suc k"
have ak0: "?ak $ 0 = (a$0) ^ Suc k"
by (simp add: fps_nth_power_0 del: power_Suc)
from r0 have th0: "r (Suc k) (a ^ Suc k $ 0) ^ Suc k = a ^ Suc k $ 0"
using ak0 by auto
from r0 ak0 have th1: "r (Suc k) (a ^ Suc k $ 0) = a $ 0"
by auto
from ak0 a0 have ak00: "?ak $ 0 \<noteq>0 "
by auto
from radical_unique[of r k ?ak a, OF th0 th1 ak00] show ?thesis
by metis
qed
lemma fps_deriv_radical:
fixes a :: "'a::field_char_0 fps"
assumes r0: "(r (Suc k) (a$0)) ^ Suc k = a$0"
and a0: "a$0 \<noteq> 0"
shows "fps_deriv (fps_radical r (Suc k) a) =
fps_deriv a / (fps_const (of_nat (Suc k)) * (fps_radical r (Suc k) a) ^ k)"
proof -
let ?r = "fps_radical r (Suc k) a"
let ?w = "(fps_const (of_nat (Suc k)) * ?r ^ k)"
from a0 r0 have r0': "r (Suc k) (a$0) \<noteq> 0"
by auto
from r0' have w0: "?w $ 0 \<noteq> 0"
by (simp del: of_nat_Suc)
note th0 = inverse_mult_eq_1[OF w0]
let ?iw = "inverse ?w"
from iffD1[OF power_radical[of a r], OF a0 r0]
have "fps_deriv (?r ^ Suc k) = fps_deriv a"
by simp
then have "fps_deriv ?r * ?w = fps_deriv a"
by (simp add: fps_deriv_power ac_simps del: power_Suc)
then have "?iw * fps_deriv ?r * ?w = ?iw * fps_deriv a"
by simp
with a0 r0 have "fps_deriv ?r * (?iw * ?w) = fps_deriv a / ?w"
by (subst fps_divide_unit) (auto simp del: of_nat_Suc)
then show ?thesis unfolding th0 by simp
qed
lemma radical_mult_distrib:
fixes a :: "'a::field_char_0 fps"
assumes k: "k > 0"
and ra0: "r k (a $ 0) ^ k = a $ 0"
and rb0: "r k (b $ 0) ^ k = b $ 0"
and a0: "a $ 0 \<noteq> 0"
and b0: "b $ 0 \<noteq> 0"
shows "r k ((a * b) $ 0) = r k (a $ 0) * r k (b $ 0) \<longleftrightarrow>
fps_radical r k (a * b) = fps_radical r k a * fps_radical r k b"
(is "?lhs \<longleftrightarrow> ?rhs")
proof
show ?rhs if r0': ?lhs
proof -
from r0' have r0: "(r k ((a * b) $ 0)) ^ k = (a * b) $ 0"
by (simp add: fps_mult_nth ra0 rb0 power_mult_distrib)
show ?thesis
proof (cases k)
case 0
then show ?thesis using r0' by simp
next
case (Suc h)
let ?ra = "fps_radical r (Suc h) a"
let ?rb = "fps_radical r (Suc h) b"
have th0: "r (Suc h) ((a * b) $ 0) = (fps_radical r (Suc h) a * fps_radical r (Suc h) b) $ 0"
using r0' Suc by (simp add: fps_mult_nth)
have ab0: "(a*b) $ 0 \<noteq> 0"
using a0 b0 by (simp add: fps_mult_nth)
from radical_unique[of r h "a*b" "fps_radical r (Suc h) a * fps_radical r (Suc h) b", OF r0[unfolded Suc] th0 ab0, symmetric]
iffD1[OF power_radical[of _ r], OF a0 ra0[unfolded Suc]] iffD1[OF power_radical[of _ r], OF b0 rb0[unfolded Suc]] Suc r0'
show ?thesis
by (auto simp add: power_mult_distrib simp del: power_Suc)
qed
qed
show ?lhs if ?rhs
proof -
from that have "(fps_radical r k (a * b)) $ 0 = (fps_radical r k a * fps_radical r k b) $ 0"
by simp
then show ?thesis
using k by (simp add: fps_mult_nth)
qed
qed
(*
lemma radical_mult_distrib:
fixes a:: "'a::field_char_0 fps"
assumes
ra0: "r k (a $ 0) ^ k = a $ 0"
and rb0: "r k (b $ 0) ^ k = b $ 0"
and r0': "r k ((a * b) $ 0) = r k (a $ 0) * r k (b $ 0)"
and a0: "a$0 \<noteq> 0"
and b0: "b$0 \<noteq> 0"
shows "fps_radical r (k) (a*b) = fps_radical r (k) a * fps_radical r (k) (b)"
proof-
from r0' have r0: "(r (k) ((a*b)$0)) ^ k = (a*b)$0"
by (simp add: fps_mult_nth ra0 rb0 power_mult_distrib)
{assume "k=0" then have ?thesis by simp}
moreover
{fix h assume k: "k = Suc h"
let ?ra = "fps_radical r (Suc h) a"
let ?rb = "fps_radical r (Suc h) b"
have th0: "r (Suc h) ((a * b) $ 0) = (fps_radical r (Suc h) a * fps_radical r (Suc h) b) $ 0"
using r0' k by (simp add: fps_mult_nth)
have ab0: "(a*b) $ 0 \<noteq> 0" using a0 b0 by (simp add: fps_mult_nth)
from radical_unique[of r h "a*b" "fps_radical r (Suc h) a * fps_radical r (Suc h) b", OF r0[unfolded k] th0 ab0, symmetric]
power_radical[of r, OF ra0[unfolded k] a0] power_radical[of r, OF rb0[unfolded k] b0] k
have ?thesis by (auto simp add: power_mult_distrib simp del: power_Suc)}
ultimately show ?thesis by (cases k, auto)
qed
*)
lemma fps_divide_1 [simp]: "(a :: 'a::field fps) / 1 = a"
by (fact div_by_1)
lemma radical_divide:
fixes a :: "'a::field_char_0 fps"
assumes kp: "k > 0"
and ra0: "(r k (a $ 0)) ^ k = a $ 0"
and rb0: "(r k (b $ 0)) ^ k = b $ 0"
and a0: "a$0 \<noteq> 0"
and b0: "b$0 \<noteq> 0"
shows "r k ((a $ 0) / (b$0)) = r k (a$0) / r k (b $ 0) \<longleftrightarrow>
fps_radical r k (a/b) = fps_radical r k a / fps_radical r k b"
(is "?lhs = ?rhs")
proof
let ?r = "fps_radical r k"
from kp obtain h where k: "k = Suc h"
by (cases k) auto
have ra0': "r k (a$0) \<noteq> 0" using a0 ra0 k by auto
have rb0': "r k (b$0) \<noteq> 0" using b0 rb0 k by auto
show ?lhs if ?rhs
proof -
from that have "?r (a/b) $ 0 = (?r a / ?r b)$0"
by simp
then show ?thesis
using k a0 b0 rb0' by (simp add: fps_divide_unit fps_mult_nth fps_inverse_def divide_inverse)
qed
show ?rhs if ?lhs
proof -
from a0 b0 have ab0[simp]: "(a/b)$0 = a$0 / b$0"
by (simp add: fps_divide_def fps_mult_nth divide_inverse fps_inverse_def)
have th0: "r k ((a/b)$0) ^ k = (a/b)$0"
by (simp add: \<open>?lhs\<close> power_divide ra0 rb0)
from a0 b0 ra0' rb0' kp \<open>?lhs\<close>
have th1: "r k ((a / b) $ 0) = (fps_radical r k a / fps_radical r k b) $ 0"
by (simp add: fps_divide_unit fps_mult_nth fps_inverse_def divide_inverse)
from a0 b0 ra0' rb0' kp have ab0': "(a / b) $ 0 \<noteq> 0"
by (simp add: fps_divide_unit fps_mult_nth fps_inverse_def nonzero_imp_inverse_nonzero)
note tha[simp] = iffD1[OF power_radical[where r=r and k=h], OF a0 ra0[unfolded k], unfolded k[symmetric]]
note thb[simp] = iffD1[OF power_radical[where r=r and k=h], OF b0 rb0[unfolded k], unfolded k[symmetric]]
from b0 rb0' have th2: "(?r a / ?r b)^k = a/b"
by (simp add: fps_divide_unit power_mult_distrib fps_inverse_power[symmetric])
from iffD1[OF radical_unique[where r=r and a="?r a / ?r b" and b="a/b" and k=h], symmetric, unfolded k[symmetric], OF th0 th1 ab0' th2]
show ?thesis .
qed
qed
lemma radical_inverse:
fixes a :: "'a::field_char_0 fps"
assumes k: "k > 0"
and ra0: "r k (a $ 0) ^ k = a $ 0"
and r1: "(r k 1)^k = 1"
and a0: "a$0 \<noteq> 0"
shows "r k (inverse (a $ 0)) = r k 1 / (r k (a $ 0)) \<longleftrightarrow>
fps_radical r k (inverse a) = fps_radical r k 1 / fps_radical r k a"
using radical_divide[where k=k and r=r and a=1 and b=a, OF k ] ra0 r1 a0
by (simp add: divide_inverse fps_divide_def)
subsection \<open>Derivative of composition\<close>
lemma fps_compose_deriv:
fixes a :: "'a::idom fps"
assumes b0: "b$0 = 0"
shows "fps_deriv (a oo b) = ((fps_deriv a) oo b) * fps_deriv b"
proof -
have "(fps_deriv (a oo b))$n = (((fps_deriv a) oo b) * (fps_deriv b)) $n" for n
proof -
have "(fps_deriv (a oo b))$n = sum (\<lambda>i. a $ i * (fps_deriv (b^i))$n) {0.. Suc n}"
by (simp add: fps_compose_def field_simps sum_distrib_left del: of_nat_Suc)
also have "\<dots> = sum (\<lambda>i. a$i * ((fps_const (of_nat i)) * (fps_deriv b * (b^(i - 1))))$n) {0.. Suc n}"
by (simp add: field_simps fps_deriv_power del: fps_mult_left_const_nth of_nat_Suc)
also have "\<dots> = sum (\<lambda>i. of_nat i * a$i * (((b^(i - 1)) * fps_deriv b))$n) {0.. Suc n}"
unfolding fps_mult_left_const_nth by (simp add: field_simps)
also have "\<dots> = sum (\<lambda>i. of_nat i * a$i * (sum (\<lambda>j. (b^ (i - 1))$j * (fps_deriv b)$(n - j)) {0..n})) {0.. Suc n}"
unfolding fps_mult_nth ..
also have "\<dots> = sum (\<lambda>i. of_nat i * a$i * (sum (\<lambda>j. (b^ (i - 1))$j * (fps_deriv b)$(n - j)) {0..n})) {1.. Suc n}"
apply (rule sum.mono_neutral_right)
apply (auto simp add: mult_delta_left sum.delta not_le)
done
also have "\<dots> = sum (\<lambda>i. of_nat (i + 1) * a$(i+1) * (sum (\<lambda>j. (b^ i)$j * of_nat (n - j + 1) * b$(n - j + 1)) {0..n})) {0.. n}"
unfolding fps_deriv_nth
by (rule sum.reindex_cong [of Suc]) (auto simp add: mult.assoc)
finally have th0: "(fps_deriv (a oo b))$n =
sum (\<lambda>i. of_nat (i + 1) * a$(i+1) * (sum (\<lambda>j. (b^ i)$j * of_nat (n - j + 1) * b$(n - j + 1)) {0..n})) {0.. n}" .
have "(((fps_deriv a) oo b) * (fps_deriv b))$n = sum (\<lambda>i. (fps_deriv b)$ (n - i) * ((fps_deriv a) oo b)$i) {0..n}"
unfolding fps_mult_nth by (simp add: ac_simps)
also have "\<dots> = sum (\<lambda>i. sum (\<lambda>j. of_nat (n - i +1) * b$(n - i + 1) * of_nat (j + 1) * a$(j+1) * (b^j)$i) {0..n}) {0..n}"
unfolding fps_deriv_nth fps_compose_nth sum_distrib_left mult.assoc
apply (rule sum.cong)
apply (rule refl)
apply (rule sum.mono_neutral_left)
apply (simp_all add: subset_eq)
apply clarify
apply (subgoal_tac "b^i$x = 0")
apply simp
apply (rule startsby_zero_power_prefix[OF b0, rule_format])
apply simp
done
also have "\<dots> = sum (\<lambda>i. of_nat (i + 1) * a$(i+1) * (sum (\<lambda>j. (b^ i)$j * of_nat (n - j + 1) * b$(n - j + 1)) {0..n})) {0.. n}"
unfolding sum_distrib_left
apply (subst sum.commute)
apply (rule sum.cong, rule refl)+
apply simp
done
finally show ?thesis
unfolding th0 by simp
qed
then show ?thesis by (simp add: fps_eq_iff)
qed
lemma fps_mult_fps_X_plus_1_nth:
"((1+fps_X)*a) $n = (if n = 0 then (a$n :: 'a::comm_ring_1) else a$n + a$(n - 1))"
proof (cases n)
case 0
then show ?thesis
by (simp add: fps_mult_nth)
next
case (Suc m)
have "((1 + fps_X)*a) $ n = sum (\<lambda>i. (1 + fps_X) $ i * a $ (n - i)) {0..n}"
by (simp add: fps_mult_nth)
also have "\<dots> = sum (\<lambda>i. (1+fps_X)$i * a$(n-i)) {0.. 1}"
unfolding Suc by (rule sum.mono_neutral_right) auto
also have "\<dots> = (if n = 0 then (a$n :: 'a::comm_ring_1) else a$n + a$(n - 1))"
by (simp add: Suc)
finally show ?thesis .
qed
subsection \<open>Finite FPS (i.e. polynomials) and fps_X\<close>
lemma fps_poly_sum_fps_X:
assumes "\<forall>i > n. a$i = (0::'a::comm_ring_1)"
shows "a = sum (\<lambda>i. fps_const (a$i) * fps_X^i) {0..n}" (is "a = ?r")
proof -
have "a$i = ?r$i" for i
unfolding fps_sum_nth fps_mult_left_const_nth fps_X_power_nth
by (simp add: mult_delta_right sum.delta' assms)
then show ?thesis
unfolding fps_eq_iff by blast
qed
subsection \<open>Compositional inverses\<close>
fun compinv :: "'a fps \<Rightarrow> nat \<Rightarrow> 'a::field"
where
"compinv a 0 = fps_X$0"
| "compinv a (Suc n) =
(fps_X$ Suc n - sum (\<lambda>i. (compinv a i) * (a^i)$Suc n) {0 .. n}) / (a$1) ^ Suc n"
definition "fps_inv a = Abs_fps (compinv a)"
lemma fps_inv:
assumes a0: "a$0 = 0"
and a1: "a$1 \<noteq> 0"
shows "fps_inv a oo a = fps_X"
proof -
let ?i = "fps_inv a oo a"
have "?i $n = fps_X$n" for n
proof (induct n rule: nat_less_induct)
fix n
assume h: "\<forall>m<n. ?i$m = fps_X$m"
show "?i $ n = fps_X$n"
proof (cases n)
case 0
then show ?thesis using a0
by (simp add: fps_compose_nth fps_inv_def)
next
case (Suc n1)
have "?i $ n = sum (\<lambda>i. (fps_inv a $ i) * (a^i)$n) {0 .. n1} + fps_inv a $ Suc n1 * (a $ 1)^ Suc n1"
by (simp only: fps_compose_nth) (simp add: Suc startsby_zero_power_nth_same [OF a0] del: power_Suc)
also have "\<dots> = sum (\<lambda>i. (fps_inv a $ i) * (a^i)$n) {0 .. n1} +
(fps_X$ Suc n1 - sum (\<lambda>i. (fps_inv a $ i) * (a^i)$n) {0 .. n1})"
using a0 a1 Suc by (simp add: fps_inv_def)
also have "\<dots> = fps_X$n" using Suc by simp
finally show ?thesis .
qed
qed
then show ?thesis
by (simp add: fps_eq_iff)
qed
fun gcompinv :: "'a fps \<Rightarrow> 'a fps \<Rightarrow> nat \<Rightarrow> 'a::field"
where
"gcompinv b a 0 = b$0"
| "gcompinv b a (Suc n) =
(b$ Suc n - sum (\<lambda>i. (gcompinv b a i) * (a^i)$Suc n) {0 .. n}) / (a$1) ^ Suc n"
definition "fps_ginv b a = Abs_fps (gcompinv b a)"
lemma fps_ginv:
assumes a0: "a$0 = 0"
and a1: "a$1 \<noteq> 0"
shows "fps_ginv b a oo a = b"
proof -
let ?i = "fps_ginv b a oo a"
have "?i $n = b$n" for n
proof (induct n rule: nat_less_induct)
fix n
assume h: "\<forall>m<n. ?i$m = b$m"
show "?i $ n = b$n"
proof (cases n)
case 0
then show ?thesis using a0
by (simp add: fps_compose_nth fps_ginv_def)
next
case (Suc n1)
have "?i $ n = sum (\<lambda>i. (fps_ginv b a $ i) * (a^i)$n) {0 .. n1} + fps_ginv b a $ Suc n1 * (a $ 1)^ Suc n1"
by (simp only: fps_compose_nth) (simp add: Suc startsby_zero_power_nth_same [OF a0] del: power_Suc)
also have "\<dots> = sum (\<lambda>i. (fps_ginv b a $ i) * (a^i)$n) {0 .. n1} +
(b$ Suc n1 - sum (\<lambda>i. (fps_ginv b a $ i) * (a^i)$n) {0 .. n1})"
using a0 a1 Suc by (simp add: fps_ginv_def)
also have "\<dots> = b$n" using Suc by simp
finally show ?thesis .
qed
qed
then show ?thesis
by (simp add: fps_eq_iff)
qed
lemma fps_inv_ginv: "fps_inv = fps_ginv fps_X"
apply (auto simp add: fun_eq_iff fps_eq_iff fps_inv_def fps_ginv_def)
apply (induct_tac n rule: nat_less_induct)
apply auto
apply (case_tac na)
apply simp
apply simp
done
lemma fps_compose_1[simp]: "1 oo a = 1"
by (simp add: fps_eq_iff fps_compose_nth mult_delta_left sum.delta)
lemma fps_compose_0[simp]: "0 oo a = 0"
by (simp add: fps_eq_iff fps_compose_nth)
lemma fps_compose_0_right[simp]: "a oo 0 = fps_const (a $ 0)"
by (auto simp add: fps_eq_iff fps_compose_nth power_0_left sum.neutral)
lemma fps_compose_add_distrib: "(a + b) oo c = (a oo c) + (b oo c)"
by (simp add: fps_eq_iff fps_compose_nth field_simps sum.distrib)
lemma fps_compose_sum_distrib: "(sum f S) oo a = sum (\<lambda>i. f i oo a) S"
proof (cases "finite S")
case True
show ?thesis
proof (rule finite_induct[OF True])
show "sum f {} oo a = (\<Sum>i\<in>{}. f i oo a)"
by simp
next
fix x F
assume fF: "finite F"
and xF: "x \<notin> F"
and h: "sum f F oo a = sum (\<lambda>i. f i oo a) F"
show "sum f (insert x F) oo a = sum (\<lambda>i. f i oo a) (insert x F)"
using fF xF h by (simp add: fps_compose_add_distrib)
qed
next
case False
then show ?thesis by simp
qed
lemma convolution_eq:
"sum (\<lambda>i. a (i :: nat) * b (n - i)) {0 .. n} =
sum (\<lambda>(i,j). a i * b j) {(i,j). i \<le> n \<and> j \<le> n \<and> i + j = n}"
by (rule sum.reindex_bij_witness[where i=fst and j="\<lambda>i. (i, n - i)"]) auto
lemma product_composition_lemma:
assumes c0: "c$0 = (0::'a::idom)"
and d0: "d$0 = 0"
shows "((a oo c) * (b oo d))$n =
sum (\<lambda>(k,m). a$k * b$m * (c^k * d^m) $ n) {(k,m). k + m \<le> n}" (is "?l = ?r")
proof -
let ?S = "{(k::nat, m::nat). k + m \<le> n}"
have s: "?S \<subseteq> {0..n} \<times> {0..n}" by (auto simp add: subset_eq)
have f: "finite {(k::nat, m::nat). k + m \<le> n}"
apply (rule finite_subset[OF s])
apply auto
done
have "?r = sum (\<lambda>i. sum (\<lambda>(k,m). a$k * (c^k)$i * b$m * (d^m) $ (n - i)) {(k,m). k + m \<le> n}) {0..n}"
apply (simp add: fps_mult_nth sum_distrib_left)
apply (subst sum.commute)
apply (rule sum.cong)
apply (auto simp add: field_simps)
done
also have "\<dots> = ?l"
apply (simp add: fps_mult_nth fps_compose_nth sum_product)
apply (rule sum.cong)
apply (rule refl)
apply (simp add: sum.cartesian_product mult.assoc)
apply (rule sum.mono_neutral_right[OF f])
apply (simp add: subset_eq)
apply presburger
apply clarsimp
apply (rule ccontr)
apply (clarsimp simp add: not_le)
apply (case_tac "x < aa")
apply simp
apply (frule_tac startsby_zero_power_prefix[rule_format, OF c0])
apply blast
apply simp
apply (frule_tac startsby_zero_power_prefix[rule_format, OF d0])
apply blast
done
finally show ?thesis by simp
qed
lemma product_composition_lemma':
assumes c0: "c$0 = (0::'a::idom)"
and d0: "d$0 = 0"
shows "((a oo c) * (b oo d))$n =
sum (\<lambda>k. sum (\<lambda>m. a$k * b$m * (c^k * d^m) $ n) {0..n}) {0..n}" (is "?l = ?r")
unfolding product_composition_lemma[OF c0 d0]
unfolding sum.cartesian_product
apply (rule sum.mono_neutral_left)
apply simp
apply (clarsimp simp add: subset_eq)
apply clarsimp
apply (rule ccontr)
apply (subgoal_tac "(c^aa * d^ba) $ n = 0")
apply simp
unfolding fps_mult_nth
apply (rule sum.neutral)
apply (clarsimp simp add: not_le)
apply (case_tac "x < aa")
apply (rule startsby_zero_power_prefix[OF c0, rule_format])
apply simp
apply (subgoal_tac "n - x < ba")
apply (frule_tac k = "ba" in startsby_zero_power_prefix[OF d0, rule_format])
apply simp
apply arith
done
lemma sum_pair_less_iff:
"sum (\<lambda>((k::nat),m). a k * b m * c (k + m)) {(k,m). k + m \<le> n} =
sum (\<lambda>s. sum (\<lambda>i. a i * b (s - i) * c s) {0..s}) {0..n}"
(is "?l = ?r")
proof -
let ?KM = "{(k,m). k + m \<le> n}"
let ?f = "\<lambda>s. UNION {(0::nat)..s} (\<lambda>i. {(i,s - i)})"
have th0: "?KM = UNION {0..n} ?f"
by auto
show "?l = ?r "
unfolding th0
apply (subst sum.UNION_disjoint)
apply auto
apply (subst sum.UNION_disjoint)
apply auto
done
qed
lemma fps_compose_mult_distrib_lemma:
assumes c0: "c$0 = (0::'a::idom)"
shows "((a oo c) * (b oo c))$n = sum (\<lambda>s. sum (\<lambda>i. a$i * b$(s - i) * (c^s) $ n) {0..s}) {0..n}"
unfolding product_composition_lemma[OF c0 c0] power_add[symmetric]
unfolding sum_pair_less_iff[where a = "\<lambda>k. a$k" and b="\<lambda>m. b$m" and c="\<lambda>s. (c ^ s)$n" and n = n] ..
lemma fps_compose_mult_distrib:
assumes c0: "c $ 0 = (0::'a::idom)"
shows "(a * b) oo c = (a oo c) * (b oo c)"
apply (simp add: fps_eq_iff fps_compose_mult_distrib_lemma [OF c0])
apply (simp add: fps_compose_nth fps_mult_nth sum_distrib_right)
done
lemma fps_compose_prod_distrib:
assumes c0: "c$0 = (0::'a::idom)"
shows "prod a S oo c = prod (\<lambda>k. a k oo c) S"
apply (cases "finite S")
apply simp_all
apply (induct S rule: finite_induct)
apply simp
apply (simp add: fps_compose_mult_distrib[OF c0])
done
lemma fps_compose_divide:
assumes [simp]: "g dvd f" "h $ 0 = 0"
shows "fps_compose f h = fps_compose (f / g :: 'a :: field fps) h * fps_compose g h"
proof -
have "f = (f / g) * g" by simp
also have "fps_compose \<dots> h = fps_compose (f / g) h * fps_compose g h"
by (subst fps_compose_mult_distrib) simp_all
finally show ?thesis .
qed
lemma fps_compose_divide_distrib:
assumes "g dvd f" "h $ 0 = 0" "fps_compose g h \<noteq> 0"
shows "fps_compose (f / g :: 'a :: field fps) h = fps_compose f h / fps_compose g h"
using fps_compose_divide[OF assms(1,2)] assms(3) by simp
lemma fps_compose_power:
assumes c0: "c$0 = (0::'a::idom)"
shows "(a oo c)^n = a^n oo c"
proof (cases n)
case 0
then show ?thesis by simp
next
case (Suc m)
have th0: "a^n = prod (\<lambda>k. a) {0..m}" "(a oo c) ^ n = prod (\<lambda>k. a oo c) {0..m}"
by (simp_all add: prod_constant Suc)
then show ?thesis
by (simp add: fps_compose_prod_distrib[OF c0])
qed
lemma fps_compose_uminus: "- (a::'a::ring_1 fps) oo c = - (a oo c)"
by (simp add: fps_eq_iff fps_compose_nth field_simps sum_negf[symmetric])
lemma fps_compose_sub_distrib: "(a - b) oo (c::'a::ring_1 fps) = (a oo c) - (b oo c)"
using fps_compose_add_distrib [of a "- b" c] by (simp add: fps_compose_uminus)
lemma fps_X_fps_compose: "fps_X oo a = Abs_fps (\<lambda>n. if n = 0 then (0::'a::comm_ring_1) else a$n)"
by (simp add: fps_eq_iff fps_compose_nth mult_delta_left sum.delta)
lemma fps_inverse_compose:
assumes b0: "(b$0 :: 'a::field) = 0"
and a0: "a$0 \<noteq> 0"
shows "inverse a oo b = inverse (a oo b)"
proof -
let ?ia = "inverse a"
let ?ab = "a oo b"
let ?iab = "inverse ?ab"
from a0 have ia0: "?ia $ 0 \<noteq> 0" by simp
from a0 have ab0: "?ab $ 0 \<noteq> 0" by (simp add: fps_compose_def)
have "(?ia oo b) * (a oo b) = 1"
unfolding fps_compose_mult_distrib[OF b0, symmetric]
unfolding inverse_mult_eq_1[OF a0]
fps_compose_1 ..
then have "(?ia oo b) * (a oo b) * ?iab = 1 * ?iab" by simp
then have "(?ia oo b) * (?iab * (a oo b)) = ?iab" by simp
then show ?thesis unfolding inverse_mult_eq_1[OF ab0] by simp
qed
lemma fps_divide_compose:
assumes c0: "(c$0 :: 'a::field) = 0"
and b0: "b$0 \<noteq> 0"
shows "(a/b) oo c = (a oo c) / (b oo c)"
using b0 c0 by (simp add: fps_divide_unit fps_inverse_compose fps_compose_mult_distrib)
lemma gp:
assumes a0: "a$0 = (0::'a::field)"
shows "(Abs_fps (\<lambda>n. 1)) oo a = 1/(1 - a)"
(is "?one oo a = _")
proof -
have o0: "?one $ 0 \<noteq> 0" by simp
have th0: "(1 - fps_X) $ 0 \<noteq> (0::'a)" by simp
from fps_inverse_gp[where ?'a = 'a]
have "inverse ?one = 1 - fps_X" by (simp add: fps_eq_iff)
then have "inverse (inverse ?one) = inverse (1 - fps_X)" by simp
then have th: "?one = 1/(1 - fps_X)" unfolding fps_inverse_idempotent[OF o0]
by (simp add: fps_divide_def)
show ?thesis
unfolding th
unfolding fps_divide_compose[OF a0 th0]
fps_compose_1 fps_compose_sub_distrib fps_X_fps_compose_startby0[OF a0] ..
qed
lemma fps_const_power [simp]: "fps_const (c::'a::ring_1) ^ n = fps_const (c^n)"
by (induct n) auto
lemma fps_compose_radical:
assumes b0: "b$0 = (0::'a::field_char_0)"
and ra0: "r (Suc k) (a$0) ^ Suc k = a$0"
and a0: "a$0 \<noteq> 0"
shows "fps_radical r (Suc k) a oo b = fps_radical r (Suc k) (a oo b)"
proof -
let ?r = "fps_radical r (Suc k)"
let ?ab = "a oo b"
have ab0: "?ab $ 0 = a$0"
by (simp add: fps_compose_def)
from ab0 a0 ra0 have rab0: "?ab $ 0 \<noteq> 0" "r (Suc k) (?ab $ 0) ^ Suc k = ?ab $ 0"
by simp_all
have th00: "r (Suc k) ((a oo b) $ 0) = (fps_radical r (Suc k) a oo b) $ 0"
by (simp add: ab0 fps_compose_def)
have th0: "(?r a oo b) ^ (Suc k) = a oo b"
unfolding fps_compose_power[OF b0]
unfolding iffD1[OF power_radical[of a r k], OF a0 ra0] ..
from iffD1[OF radical_unique[where r=r and k=k and b= ?ab and a = "?r a oo b", OF rab0(2) th00 rab0(1)], OF th0]
show ?thesis .
qed
lemma fps_const_mult_apply_left: "fps_const c * (a oo b) = (fps_const c * a) oo b"
by (simp add: fps_eq_iff fps_compose_nth sum_distrib_left mult.assoc)
lemma fps_const_mult_apply_right:
"(a oo b) * fps_const (c::'a::comm_semiring_1) = (fps_const c * a) oo b"
by (auto simp add: fps_const_mult_apply_left mult.commute)
lemma fps_compose_assoc:
assumes c0: "c$0 = (0::'a::idom)"
and b0: "b$0 = 0"
shows "a oo (b oo c) = a oo b oo c" (is "?l = ?r")
proof -
have "?l$n = ?r$n" for n
proof -
have "?l$n = (sum (\<lambda>i. (fps_const (a$i) * b^i) oo c) {0..n})$n"
by (simp add: fps_compose_nth fps_compose_power[OF c0] fps_const_mult_apply_left
sum_distrib_left mult.assoc fps_sum_nth)
also have "\<dots> = ((sum (\<lambda>i. fps_const (a$i) * b^i) {0..n}) oo c)$n"
by (simp add: fps_compose_sum_distrib)
also have "\<dots> = ?r$n"
apply (simp add: fps_compose_nth fps_sum_nth sum_distrib_right mult.assoc)
apply (rule sum.cong)
apply (rule refl)
apply (rule sum.mono_neutral_right)
apply (auto simp add: not_le)
apply (erule startsby_zero_power_prefix[OF b0, rule_format])
done
finally show ?thesis .
qed
then show ?thesis
by (simp add: fps_eq_iff)
qed
lemma fps_X_power_compose:
assumes a0: "a$0=0"
shows "fps_X^k oo a = (a::'a::idom fps)^k"
(is "?l = ?r")
proof (cases k)
case 0
then show ?thesis by simp
next
case (Suc h)
have "?l $ n = ?r $n" for n
proof -
consider "k > n" | "k \<le> n" by arith
then show ?thesis
proof cases
case 1
then show ?thesis
using a0 startsby_zero_power_prefix[OF a0] Suc
by (simp add: fps_compose_nth del: power_Suc)
next
case 2
then show ?thesis
by (simp add: fps_compose_nth mult_delta_left sum.delta)
qed
qed
then show ?thesis
unfolding fps_eq_iff by blast
qed
lemma fps_inv_right:
assumes a0: "a$0 = 0"
and a1: "a$1 \<noteq> 0"
shows "a oo fps_inv a = fps_X"
proof -
let ?ia = "fps_inv a"
let ?iaa = "a oo fps_inv a"
have th0: "?ia $ 0 = 0"
by (simp add: fps_inv_def)
have th1: "?iaa $ 0 = 0"
using a0 a1 by (simp add: fps_inv_def fps_compose_nth)
have th2: "fps_X$0 = 0"
by simp
from fps_inv[OF a0 a1] have "a oo (fps_inv a oo a) = a oo fps_X"
by simp
then have "(a oo fps_inv a) oo a = fps_X oo a"
by (simp add: fps_compose_assoc[OF a0 th0] fps_X_fps_compose_startby0[OF a0])
with fps_compose_inj_right[OF a0 a1] show ?thesis
by simp
qed
lemma fps_inv_deriv:
assumes a0: "a$0 = (0::'a::field)"
and a1: "a$1 \<noteq> 0"
shows "fps_deriv (fps_inv a) = inverse (fps_deriv a oo fps_inv a)"
proof -
let ?ia = "fps_inv a"
let ?d = "fps_deriv a oo ?ia"
let ?dia = "fps_deriv ?ia"
have ia0: "?ia$0 = 0"
by (simp add: fps_inv_def)
have th0: "?d$0 \<noteq> 0"
using a1 by (simp add: fps_compose_nth)
from fps_inv_right[OF a0 a1] have "?d * ?dia = 1"
by (simp add: fps_compose_deriv[OF ia0, of a, symmetric] )
then have "inverse ?d * ?d * ?dia = inverse ?d * 1"
by simp
with inverse_mult_eq_1 [OF th0] show "?dia = inverse ?d"
by simp
qed
lemma fps_inv_idempotent:
assumes a0: "a$0 = 0"
and a1: "a$1 \<noteq> 0"
shows "fps_inv (fps_inv a) = a"
proof -
let ?r = "fps_inv"
have ra0: "?r a $ 0 = 0"
by (simp add: fps_inv_def)
from a1 have ra1: "?r a $ 1 \<noteq> 0"
by (simp add: fps_inv_def field_simps)
have fps_X0: "fps_X$0 = 0"
by simp
from fps_inv[OF ra0 ra1] have "?r (?r a) oo ?r a = fps_X" .
then have "?r (?r a) oo ?r a oo a = fps_X oo a"
by simp
then have "?r (?r a) oo (?r a oo a) = a"
unfolding fps_X_fps_compose_startby0[OF a0]
unfolding fps_compose_assoc[OF a0 ra0, symmetric] .
then show ?thesis
unfolding fps_inv[OF a0 a1] by simp
qed
lemma fps_ginv_ginv:
assumes a0: "a$0 = 0"
and a1: "a$1 \<noteq> 0"
and c0: "c$0 = 0"
and c1: "c$1 \<noteq> 0"
shows "fps_ginv b (fps_ginv c a) = b oo a oo fps_inv c"
proof -
let ?r = "fps_ginv"
from c0 have rca0: "?r c a $0 = 0"
by (simp add: fps_ginv_def)
from a1 c1 have rca1: "?r c a $ 1 \<noteq> 0"
by (simp add: fps_ginv_def field_simps)
from fps_ginv[OF rca0 rca1]
have "?r b (?r c a) oo ?r c a = b" .
then have "?r b (?r c a) oo ?r c a oo a = b oo a"
by simp
then have "?r b (?r c a) oo (?r c a oo a) = b oo a"
apply (subst fps_compose_assoc)
using a0 c0
apply (auto simp add: fps_ginv_def)
done
then have "?r b (?r c a) oo c = b oo a"
unfolding fps_ginv[OF a0 a1] .
then have "?r b (?r c a) oo c oo fps_inv c= b oo a oo fps_inv c"
by simp
then have "?r b (?r c a) oo (c oo fps_inv c) = b oo a oo fps_inv c"
apply (subst fps_compose_assoc)
using a0 c0
apply (auto simp add: fps_inv_def)
done
then show ?thesis
unfolding fps_inv_right[OF c0 c1] by simp
qed
lemma fps_ginv_deriv:
assumes a0:"a$0 = (0::'a::field)"
and a1: "a$1 \<noteq> 0"
shows "fps_deriv (fps_ginv b a) = (fps_deriv b / fps_deriv a) oo fps_ginv fps_X a"
proof -
let ?ia = "fps_ginv b a"
let ?ifps_Xa = "fps_ginv fps_X a"
let ?d = "fps_deriv"
let ?dia = "?d ?ia"
have ifps_Xa0: "?ifps_Xa $ 0 = 0"
by (simp add: fps_ginv_def)
have da0: "?d a $ 0 \<noteq> 0"
using a1 by simp
from fps_ginv[OF a0 a1, of b] have "?d (?ia oo a) = fps_deriv b"
by simp
then have "(?d ?ia oo a) * ?d a = ?d b"
unfolding fps_compose_deriv[OF a0] .
then have "(?d ?ia oo a) * ?d a * inverse (?d a) = ?d b * inverse (?d a)"
by simp
with a1 have "(?d ?ia oo a) * (inverse (?d a) * ?d a) = ?d b / ?d a"
by (simp add: fps_divide_unit)
then have "(?d ?ia oo a) oo ?ifps_Xa = (?d b / ?d a) oo ?ifps_Xa"
unfolding inverse_mult_eq_1[OF da0] by simp
then have "?d ?ia oo (a oo ?ifps_Xa) = (?d b / ?d a) oo ?ifps_Xa"
unfolding fps_compose_assoc[OF ifps_Xa0 a0] .
then show ?thesis unfolding fps_inv_ginv[symmetric]
unfolding fps_inv_right[OF a0 a1] by simp
qed
lemma fps_compose_linear:
"fps_compose (f :: 'a :: comm_ring_1 fps) (fps_const c * fps_X) = Abs_fps (\<lambda>n. c^n * f $ n)"
by (simp add: fps_eq_iff fps_compose_def power_mult_distrib
if_distrib sum.delta' cong: if_cong)
lemma fps_compose_uminus':
"fps_compose f (-fps_X :: 'a :: comm_ring_1 fps) = Abs_fps (\<lambda>n. (-1)^n * f $ n)"
using fps_compose_linear[of f "-1"]
by (simp only: fps_const_neg [symmetric] fps_const_1_eq_1) simp
subsection \<open>Elementary series\<close>
subsubsection \<open>Exponential series\<close>
definition "fps_exp x = Abs_fps (\<lambda>n. x^n / of_nat (fact n))"
lemma fps_exp_deriv[simp]: "fps_deriv (fps_exp a) = fps_const (a::'a::field_char_0) * fps_exp a"
(is "?l = ?r")
proof -
have "?l$n = ?r $ n" for n
apply (auto simp add: fps_exp_def field_simps power_Suc[symmetric]
simp del: fact_Suc of_nat_Suc power_Suc)
apply (simp add: field_simps)
done
then show ?thesis
by (simp add: fps_eq_iff)
qed
lemma fps_exp_unique_ODE:
"fps_deriv a = fps_const c * a \<longleftrightarrow> a = fps_const (a$0) * fps_exp (c::'a::field_char_0)"
(is "?lhs \<longleftrightarrow> ?rhs")
proof
show ?rhs if ?lhs
proof -
from that have th: "\<And>n. a $ Suc n = c * a$n / of_nat (Suc n)"
by (simp add: fps_deriv_def fps_eq_iff field_simps del: of_nat_Suc)
have th': "a$n = a$0 * c ^ n/ (fact n)" for n
proof (induct n)
case 0
then show ?case by simp
next
case Suc
then show ?case
unfolding th
using fact_gt_zero
apply (simp add: field_simps del: of_nat_Suc fact_Suc)
apply simp
done
qed
show ?thesis
by (auto simp add: fps_eq_iff fps_const_mult_left fps_exp_def intro: th')
qed
show ?lhs if ?rhs
using that by (metis fps_exp_deriv fps_deriv_mult_const_left mult.left_commute)
qed
lemma fps_exp_add_mult: "fps_exp (a + b) = fps_exp (a::'a::field_char_0) * fps_exp b" (is "?l = ?r")
proof -
have "fps_deriv ?r = fps_const (a + b) * ?r"
by (simp add: fps_const_add[symmetric] field_simps del: fps_const_add)
then have "?r = ?l"
by (simp only: fps_exp_unique_ODE) (simp add: fps_mult_nth fps_exp_def)
then show ?thesis ..
qed
lemma fps_exp_nth[simp]: "fps_exp a $ n = a^n / of_nat (fact n)"
by (simp add: fps_exp_def)
lemma fps_exp_0[simp]: "fps_exp (0::'a::field) = 1"
by (simp add: fps_eq_iff power_0_left)
lemma fps_exp_neg: "fps_exp (- a) = inverse (fps_exp (a::'a::field_char_0))"
proof -
from fps_exp_add_mult[of a "- a"] have th0: "fps_exp a * fps_exp (- a) = 1" by simp
from fps_inverse_unique[OF th0] show ?thesis by simp
qed
lemma fps_exp_nth_deriv[simp]:
"fps_nth_deriv n (fps_exp (a::'a::field_char_0)) = (fps_const a)^n * (fps_exp a)"
by (induct n) auto
lemma fps_X_compose_fps_exp[simp]: "fps_X oo fps_exp (a::'a::field) = fps_exp a - 1"
by (simp add: fps_eq_iff fps_X_fps_compose)
lemma fps_inv_fps_exp_compose:
assumes a: "a \<noteq> 0"
shows "fps_inv (fps_exp a - 1) oo (fps_exp a - 1) = fps_X"
and "(fps_exp a - 1) oo fps_inv (fps_exp a - 1) = fps_X"
proof -
let ?b = "fps_exp a - 1"
have b0: "?b $ 0 = 0"
by simp
have b1: "?b $ 1 \<noteq> 0"
by (simp add: a)
from fps_inv[OF b0 b1] show "fps_inv (fps_exp a - 1) oo (fps_exp a - 1) = fps_X" .
from fps_inv_right[OF b0 b1] show "(fps_exp a - 1) oo fps_inv (fps_exp a - 1) = fps_X" .
qed
lemma fps_exp_power_mult: "(fps_exp (c::'a::field_char_0))^n = fps_exp (of_nat n * c)"
by (induct n) (auto simp add: field_simps fps_exp_add_mult)
lemma radical_fps_exp:
assumes r: "r (Suc k) 1 = 1"
shows "fps_radical r (Suc k) (fps_exp (c::'a::field_char_0)) = fps_exp (c / of_nat (Suc k))"
proof -
let ?ck = "(c / of_nat (Suc k))"
let ?r = "fps_radical r (Suc k)"
have eq0[simp]: "?ck * of_nat (Suc k) = c" "of_nat (Suc k) * ?ck = c"
by (simp_all del: of_nat_Suc)
have th0: "fps_exp ?ck ^ (Suc k) = fps_exp c" unfolding fps_exp_power_mult eq0 ..
have th: "r (Suc k) (fps_exp c $0) ^ Suc k = fps_exp c $ 0"
"r (Suc k) (fps_exp c $ 0) = fps_exp ?ck $ 0" "fps_exp c $ 0 \<noteq> 0" using r by simp_all
from th0 radical_unique[where r=r and k=k, OF th] show ?thesis
by auto
qed
lemma fps_exp_compose_linear [simp]:
"fps_exp (d::'a::field_char_0) oo (fps_const c * fps_X) = fps_exp (c * d)"
by (simp add: fps_compose_linear fps_exp_def fps_eq_iff power_mult_distrib)
lemma fps_fps_exp_compose_minus [simp]:
"fps_compose (fps_exp c) (-fps_X) = fps_exp (-c :: 'a :: field_char_0)"
using fps_exp_compose_linear[of c "-1 :: 'a"]
unfolding fps_const_neg [symmetric] fps_const_1_eq_1 by simp
lemma fps_exp_eq_iff [simp]: "fps_exp c = fps_exp d \<longleftrightarrow> c = (d :: 'a :: field_char_0)"
proof
assume "fps_exp c = fps_exp d"
from arg_cong[of _ _ "\<lambda>F. F $ 1", OF this] show "c = d" by simp
qed simp_all
lemma fps_exp_eq_fps_const_iff [simp]:
"fps_exp (c :: 'a :: field_char_0) = fps_const c' \<longleftrightarrow> c = 0 \<and> c' = 1"
proof
assume "c = 0 \<and> c' = 1"
thus "fps_exp c = fps_const c'" by (auto simp: fps_eq_iff)
next
assume "fps_exp c = fps_const c'"
from arg_cong[of _ _ "\<lambda>F. F $ 1", OF this] arg_cong[of _ _ "\<lambda>F. F $ 0", OF this]
show "c = 0 \<and> c' = 1" by simp_all
qed
lemma fps_exp_neq_0 [simp]: "\<not>fps_exp (c :: 'a :: field_char_0) = 0"
unfolding fps_const_0_eq_0 [symmetric] fps_exp_eq_fps_const_iff by simp
lemma fps_exp_eq_1_iff [simp]: "fps_exp (c :: 'a :: field_char_0) = 1 \<longleftrightarrow> c = 0"
unfolding fps_const_1_eq_1 [symmetric] fps_exp_eq_fps_const_iff by simp
lemma fps_exp_neq_numeral_iff [simp]:
"fps_exp (c :: 'a :: field_char_0) = numeral n \<longleftrightarrow> c = 0 \<and> n = Num.One"
unfolding numeral_fps_const fps_exp_eq_fps_const_iff by simp
subsubsection \<open>Logarithmic series\<close>
lemma Abs_fps_if_0:
"Abs_fps (\<lambda>n. if n = 0 then (v::'a::ring_1) else f n) =
fps_const v + fps_X * Abs_fps (\<lambda>n. f (Suc n))"
by (auto simp add: fps_eq_iff)
definition fps_ln :: "'a::field_char_0 \<Rightarrow> 'a fps"
where "fps_ln c = fps_const (1/c) * Abs_fps (\<lambda>n. if n = 0 then 0 else (- 1) ^ (n - 1) / of_nat n)"
lemma fps_ln_deriv: "fps_deriv (fps_ln c) = fps_const (1/c) * inverse (1 + fps_X)"
unfolding fps_inverse_fps_X_plus1
by (simp add: fps_ln_def fps_eq_iff del: of_nat_Suc)
lemma fps_ln_nth: "fps_ln c $ n = (if n = 0 then 0 else 1/c * ((- 1) ^ (n - 1) / of_nat n))"
by (simp add: fps_ln_def field_simps)
lemma fps_ln_0 [simp]: "fps_ln c $ 0 = 0" by (simp add: fps_ln_def)
lemma fps_ln_fps_exp_inv:
fixes a :: "'a::field_char_0"
assumes a: "a \<noteq> 0"
shows "fps_ln a = fps_inv (fps_exp a - 1)" (is "?l = ?r")
proof -
let ?b = "fps_exp a - 1"
have b0: "?b $ 0 = 0" by simp
have b1: "?b $ 1 \<noteq> 0" by (simp add: a)
have "fps_deriv (fps_exp a - 1) oo fps_inv (fps_exp a - 1) =
(fps_const a * (fps_exp a - 1) + fps_const a) oo fps_inv (fps_exp a - 1)"
by (simp add: field_simps)
also have "\<dots> = fps_const a * (fps_X + 1)"
apply (simp add: fps_compose_add_distrib fps_const_mult_apply_left[symmetric] fps_inv_right[OF b0 b1])
apply (simp add: field_simps)
done
finally have eq: "fps_deriv (fps_exp a - 1) oo fps_inv (fps_exp a - 1) = fps_const a * (fps_X + 1)" .
from fps_inv_deriv[OF b0 b1, unfolded eq]
have "fps_deriv (fps_inv ?b) = fps_const (inverse a) / (fps_X + 1)"
using a by (simp add: fps_const_inverse eq fps_divide_def fps_inverse_mult)
then have "fps_deriv ?l = fps_deriv ?r"
by (simp add: fps_ln_deriv add.commute fps_divide_def divide_inverse)
then show ?thesis unfolding fps_deriv_eq_iff
by (simp add: fps_ln_nth fps_inv_def)
qed
lemma fps_ln_mult_add:
assumes c0: "c\<noteq>0"
and d0: "d\<noteq>0"
shows "fps_ln c + fps_ln d = fps_const (c+d) * fps_ln (c*d)"
(is "?r = ?l")
proof-
from c0 d0 have eq: "1/c + 1/d = (c+d)/(c*d)" by (simp add: field_simps)
have "fps_deriv ?r = fps_const (1/c + 1/d) * inverse (1 + fps_X)"
by (simp add: fps_ln_deriv fps_const_add[symmetric] algebra_simps del: fps_const_add)
also have "\<dots> = fps_deriv ?l"
apply (simp add: fps_ln_deriv)
apply (simp add: fps_eq_iff eq)
done
finally show ?thesis
unfolding fps_deriv_eq_iff by simp
qed
lemma fps_X_dvd_fps_ln [simp]: "fps_X dvd fps_ln c"
proof -
have "fps_ln c = fps_X * Abs_fps (\<lambda>n. (-1) ^ n / (of_nat (Suc n) * c))"
by (intro fps_ext) (auto simp: fps_ln_def of_nat_diff)
thus ?thesis by simp
qed
subsubsection \<open>Binomial series\<close>
definition "fps_binomial a = Abs_fps (\<lambda>n. a gchoose n)"
lemma fps_binomial_nth[simp]: "fps_binomial a $ n = a gchoose n"
by (simp add: fps_binomial_def)
lemma fps_binomial_ODE_unique:
fixes c :: "'a::field_char_0"
shows "fps_deriv a = (fps_const c * a) / (1 + fps_X) \<longleftrightarrow> a = fps_const (a$0) * fps_binomial c"
(is "?lhs \<longleftrightarrow> ?rhs")
proof
let ?da = "fps_deriv a"
let ?x1 = "(1 + fps_X):: 'a fps"
let ?l = "?x1 * ?da"
let ?r = "fps_const c * a"
have eq: "?l = ?r \<longleftrightarrow> ?lhs"
proof -
have x10: "?x1 $ 0 \<noteq> 0" by simp
have "?l = ?r \<longleftrightarrow> inverse ?x1 * ?l = inverse ?x1 * ?r" by simp
also have "\<dots> \<longleftrightarrow> ?da = (fps_const c * a) / ?x1"
apply (simp only: fps_divide_def mult.assoc[symmetric] inverse_mult_eq_1[OF x10])
apply (simp add: field_simps)
done
finally show ?thesis .
qed
show ?rhs if ?lhs
proof -
from eq that have h: "?l = ?r" ..
have th0: "a$ Suc n = ((c - of_nat n) / of_nat (Suc n)) * a $n" for n
proof -
from h have "?l $ n = ?r $ n" by simp
then show ?thesis
apply (simp add: field_simps del: of_nat_Suc)
apply (cases n)
apply (simp_all add: field_simps del: of_nat_Suc)
done
qed
have th1: "a $ n = (c gchoose n) * a $ 0" for n
proof (induct n)
case 0
then show ?case by simp
next
case (Suc m)
then show ?case
unfolding th0
apply (simp add: field_simps del: of_nat_Suc)
unfolding mult.assoc[symmetric] gbinomial_mult_1
apply (simp add: field_simps)
done
qed
show ?thesis
apply (simp add: fps_eq_iff)
apply (subst th1)
apply (simp add: field_simps)
done
qed
show ?lhs if ?rhs
proof -
have th00: "x * (a $ 0 * y) = a $ 0 * (x * y)" for x y
by (simp add: mult.commute)
have "?l = ?r"
apply (subst \<open>?rhs\<close>)
apply (subst (2) \<open>?rhs\<close>)
apply (clarsimp simp add: fps_eq_iff field_simps)
unfolding mult.assoc[symmetric] th00 gbinomial_mult_1
apply (simp add: field_simps gbinomial_mult_1)
done
with eq show ?thesis ..
qed
qed
lemma fps_binomial_ODE_unique':
"(fps_deriv a = fps_const c * a / (1 + fps_X) \<and> a $ 0 = 1) \<longleftrightarrow> (a = fps_binomial c)"
by (subst fps_binomial_ODE_unique) auto
lemma fps_binomial_deriv: "fps_deriv (fps_binomial c) = fps_const c * fps_binomial c / (1 + fps_X)"
proof -
let ?a = "fps_binomial c"
have th0: "?a = fps_const (?a$0) * ?a" by (simp)
from iffD2[OF fps_binomial_ODE_unique, OF th0] show ?thesis .
qed
lemma fps_binomial_add_mult: "fps_binomial (c+d) = fps_binomial c * fps_binomial d" (is "?l = ?r")
proof -
let ?P = "?r - ?l"
let ?b = "fps_binomial"
let ?db = "\<lambda>x. fps_deriv (?b x)"
have "fps_deriv ?P = ?db c * ?b d + ?b c * ?db d - ?db (c + d)" by simp
also have "\<dots> = inverse (1 + fps_X) *
(fps_const c * ?b c * ?b d + fps_const d * ?b c * ?b d - fps_const (c+d) * ?b (c + d))"
unfolding fps_binomial_deriv
by (simp add: fps_divide_def field_simps)
also have "\<dots> = (fps_const (c + d)/ (1 + fps_X)) * ?P"
by (simp add: field_simps fps_divide_unit fps_const_add[symmetric] del: fps_const_add)
finally have th0: "fps_deriv ?P = fps_const (c+d) * ?P / (1 + fps_X)"
by (simp add: fps_divide_def)
have "?P = fps_const (?P$0) * ?b (c + d)"
unfolding fps_binomial_ODE_unique[symmetric]
using th0 by simp
then have "?P = 0" by (simp add: fps_mult_nth)
then show ?thesis by simp
qed
lemma fps_binomial_minus_one: "fps_binomial (- 1) = inverse (1 + fps_X)"
(is "?l = inverse ?r")
proof-
have th: "?r$0 \<noteq> 0" by simp
have th': "fps_deriv (inverse ?r) = fps_const (- 1) * inverse ?r / (1 + fps_X)"
by (simp add: fps_inverse_deriv[OF th] fps_divide_def
power2_eq_square mult.commute fps_const_neg[symmetric] del: fps_const_neg)
have eq: "inverse ?r $ 0 = 1"
by (simp add: fps_inverse_def)
from iffD1[OF fps_binomial_ODE_unique[of "inverse (1 + fps_X)" "- 1"] th'] eq
show ?thesis by (simp add: fps_inverse_def)
qed
lemma fps_binomial_of_nat: "fps_binomial (of_nat n) = (1 + fps_X :: 'a :: field_char_0 fps) ^ n"
proof (cases "n = 0")
case [simp]: True
have "fps_deriv ((1 + fps_X) ^ n :: 'a fps) = 0" by simp
also have "\<dots> = fps_const (of_nat n) * (1 + fps_X) ^ n / (1 + fps_X)" by (simp add: fps_binomial_def)
finally show ?thesis by (subst sym, subst fps_binomial_ODE_unique' [symmetric]) simp_all
next
case False
have "fps_deriv ((1 + fps_X) ^ n :: 'a fps) = fps_const (of_nat n) * (1 + fps_X) ^ (n - 1)"
by (simp add: fps_deriv_power)
also have "(1 + fps_X :: 'a fps) $ 0 \<noteq> 0" by simp
hence "(1 + fps_X :: 'a fps) \<noteq> 0" by (intro notI) (simp only: , simp)
with False have "(1 + fps_X :: 'a fps) ^ (n - 1) = (1 + fps_X) ^ n / (1 + fps_X)"
by (cases n) (simp_all )
also have "fps_const (of_nat n :: 'a) * ((1 + fps_X) ^ n / (1 + fps_X)) =
fps_const (of_nat n) * (1 + fps_X) ^ n / (1 + fps_X)"
by (simp add: unit_div_mult_swap)
finally show ?thesis
by (subst sym, subst fps_binomial_ODE_unique' [symmetric]) (simp_all add: fps_power_nth)
qed
lemma fps_binomial_0 [simp]: "fps_binomial 0 = 1"
using fps_binomial_of_nat[of 0] by simp
lemma fps_binomial_power: "fps_binomial a ^ n = fps_binomial (of_nat n * a)"
by (induction n) (simp_all add: fps_binomial_add_mult ring_distribs)
lemma fps_binomial_1: "fps_binomial 1 = 1 + fps_X"
using fps_binomial_of_nat[of 1] by simp
lemma fps_binomial_minus_of_nat:
"fps_binomial (- of_nat n) = inverse ((1 + fps_X :: 'a :: field_char_0 fps) ^ n)"
by (rule sym, rule fps_inverse_unique)
(simp add: fps_binomial_of_nat [symmetric] fps_binomial_add_mult [symmetric])
lemma one_minus_const_fps_X_power:
"c \<noteq> 0 \<Longrightarrow> (1 - fps_const c * fps_X) ^ n =
fps_compose (fps_binomial (of_nat n)) (-fps_const c * fps_X)"
by (subst fps_binomial_of_nat)
(simp add: fps_compose_power [symmetric] fps_compose_add_distrib fps_const_neg [symmetric]
del: fps_const_neg)
lemma one_minus_fps_X_const_neg_power:
"inverse ((1 - fps_const c * fps_X) ^ n) =
fps_compose (fps_binomial (-of_nat n)) (-fps_const c * fps_X)"
proof (cases "c = 0")
case False
thus ?thesis
by (subst fps_binomial_minus_of_nat)
(simp add: fps_compose_power [symmetric] fps_inverse_compose fps_compose_add_distrib
fps_const_neg [symmetric] del: fps_const_neg)
qed simp
lemma fps_X_plus_const_power:
"c \<noteq> 0 \<Longrightarrow> (fps_X + fps_const c) ^ n =
fps_const (c^n) * fps_compose (fps_binomial (of_nat n)) (fps_const (inverse c) * fps_X)"
by (subst fps_binomial_of_nat)
(simp add: fps_compose_power [symmetric] fps_binomial_of_nat fps_compose_add_distrib
fps_const_power [symmetric] power_mult_distrib [symmetric]
algebra_simps inverse_mult_eq_1' del: fps_const_power)
lemma fps_X_plus_const_neg_power:
"c \<noteq> 0 \<Longrightarrow> inverse ((fps_X + fps_const c) ^ n) =
fps_const (inverse c^n) * fps_compose (fps_binomial (-of_nat n)) (fps_const (inverse c) * fps_X)"
by (subst fps_binomial_minus_of_nat)
(simp add: fps_compose_power [symmetric] fps_binomial_of_nat fps_compose_add_distrib
fps_const_power [symmetric] power_mult_distrib [symmetric] fps_inverse_compose
algebra_simps fps_const_inverse [symmetric] fps_inverse_mult [symmetric]
fps_inverse_power [symmetric] inverse_mult_eq_1'
del: fps_const_power)
lemma one_minus_const_fps_X_neg_power':
"n > 0 \<Longrightarrow> inverse ((1 - fps_const (c :: 'a :: field_char_0) * fps_X) ^ n) =
Abs_fps (\<lambda>k. of_nat ((n + k - 1) choose k) * c^k)"
apply (rule fps_ext)
apply (subst one_minus_fps_X_const_neg_power, subst fps_const_neg, subst fps_compose_linear)
apply (simp add: power_mult_distrib [symmetric] mult.assoc [symmetric]
gbinomial_minus binomial_gbinomial of_nat_diff)
done
text \<open>Vandermonde's Identity as a consequence.\<close>
lemma gbinomial_Vandermonde:
"sum (\<lambda>k. (a gchoose k) * (b gchoose (n - k))) {0..n} = (a + b) gchoose n"
proof -
let ?ba = "fps_binomial a"
let ?bb = "fps_binomial b"
let ?bab = "fps_binomial (a + b)"
from fps_binomial_add_mult[of a b] have "?bab $ n = (?ba * ?bb)$n" by simp
then show ?thesis by (simp add: fps_mult_nth)
qed
lemma binomial_Vandermonde:
"sum (\<lambda>k. (a choose k) * (b choose (n - k))) {0..n} = (a + b) choose n"
using gbinomial_Vandermonde[of "(of_nat a)" "of_nat b" n]
by (simp only: binomial_gbinomial[symmetric] of_nat_mult[symmetric]
of_nat_sum[symmetric] of_nat_add[symmetric] of_nat_eq_iff)
lemma binomial_Vandermonde_same: "sum (\<lambda>k. (n choose k)\<^sup>2) {0..n} = (2 * n) choose n"
using binomial_Vandermonde[of n n n, symmetric]
unfolding mult_2
apply (simp add: power2_eq_square)
apply (rule sum.cong)
apply (auto intro: binomial_symmetric)
done
lemma Vandermonde_pochhammer_lemma:
fixes a :: "'a::field_char_0"
assumes b: "\<forall>j\<in>{0 ..<n}. b \<noteq> of_nat j"
shows "sum (\<lambda>k. (pochhammer (- a) k * pochhammer (- (of_nat n)) k) /
(of_nat (fact k) * pochhammer (b - of_nat n + 1) k)) {0..n} =
pochhammer (- (a + b)) n / pochhammer (- b) n"
(is "?l = ?r")
proof -
let ?m1 = "\<lambda>m. (- 1 :: 'a) ^ m"
let ?f = "\<lambda>m. of_nat (fact m)"
let ?p = "\<lambda>(x::'a). pochhammer (- x)"
from b have bn0: "?p b n \<noteq> 0"
unfolding pochhammer_eq_0_iff by simp
have th00:
"b gchoose (n - k) =
(?m1 n * ?p b n * ?m1 k * ?p (of_nat n) k) / (?f n * pochhammer (b - of_nat n + 1) k)"
(is ?gchoose)
"pochhammer (1 + b - of_nat n) k \<noteq> 0"
(is ?pochhammer)
if kn: "k \<in> {0..n}" for k
proof -
from kn have "k \<le> n" by simp
have nz: "pochhammer (1 + b - of_nat n) n \<noteq> 0"
proof
assume "pochhammer (1 + b - of_nat n) n = 0"
then have c: "pochhammer (b - of_nat n + 1) n = 0"
by (simp add: algebra_simps)
then obtain j where j: "j < n" "b - of_nat n + 1 = - of_nat j"
unfolding pochhammer_eq_0_iff by blast
from j have "b = of_nat n - of_nat j - of_nat 1"
by (simp add: algebra_simps)
then have "b = of_nat (n - j - 1)"
using j kn by (simp add: of_nat_diff)
with b show False using j by auto
qed
from nz kn [simplified] have nz': "pochhammer (1 + b - of_nat n) k \<noteq> 0"
by (rule pochhammer_neq_0_mono)
consider "k = 0 \<or> n = 0" | "k \<noteq> 0" "n \<noteq> 0"
by blast
then have "b gchoose (n - k) =
(?m1 n * ?p b n * ?m1 k * ?p (of_nat n) k) / (?f n * pochhammer (b - of_nat n + 1) k)"
proof cases
case 1
then show ?thesis
using kn by (cases "k = 0") (simp_all add: gbinomial_pochhammer)
next
case neq: 2
then obtain m where m: "n = Suc m"
by (cases n) auto
from neq(1) obtain h where h: "k = Suc h"
by (cases k) auto
show ?thesis
proof (cases "k = n")
case True
then show ?thesis
using pochhammer_minus'[where k=k and b=b]
apply (simp add: pochhammer_same)
using bn0
apply (simp add: field_simps power_add[symmetric])
done
next
case False
with kn have kn': "k < n"
by simp
have m1nk: "?m1 n = prod (\<lambda>i. - 1) {..m}" "?m1 k = prod (\<lambda>i. - 1) {0..h}"
by (simp_all add: prod_constant m h)
have bnz0: "pochhammer (b - of_nat n + 1) k \<noteq> 0"
using bn0 kn
unfolding pochhammer_eq_0_iff
apply auto
apply (erule_tac x= "n - ka - 1" in allE)
apply (auto simp add: algebra_simps of_nat_diff)
done
have eq1: "prod (\<lambda>k. (1::'a) + of_nat m - of_nat k) {..h} =
prod of_nat {Suc (m - h) .. Suc m}"
using kn' h m
by (intro prod.reindex_bij_witness[where i="\<lambda>k. Suc m - k" and j="\<lambda>k. Suc m - k"])
(auto simp: of_nat_diff)
have th1: "(?m1 k * ?p (of_nat n) k) / ?f n = 1 / of_nat(fact (n - k))"
apply (simp add: pochhammer_minus field_simps)
using \<open>k \<le> n\<close> apply (simp add: fact_split [of k n])
apply (simp add: pochhammer_prod)
using prod.atLeast_lessThan_shift_bounds [where ?'a = 'a, of "\<lambda>i. 1 + of_nat i" 0 "n - k" k]
apply (auto simp add: of_nat_diff field_simps)
done
have th20: "?m1 n * ?p b n = prod (\<lambda>i. b - of_nat i) {0..m}"
apply (simp add: pochhammer_minus field_simps m)
apply (auto simp add: pochhammer_prod_rev of_nat_diff prod.atLeast_Suc_atMost_Suc_shift)
done
have th21:"pochhammer (b - of_nat n + 1) k = prod (\<lambda>i. b - of_nat i) {n - k .. n - 1}"
using kn apply (simp add: pochhammer_prod_rev m h prod.atLeast_Suc_atMost_Suc_shift)
using prod.atLeast_atMost_shift_0 [of "m - h" m, where ?'a = 'a]
apply (auto simp add: of_nat_diff field_simps)
done
have "?m1 n * ?p b n =
prod (\<lambda>i. b - of_nat i) {0.. n - k - 1} * pochhammer (b - of_nat n + 1) k"
using kn' m h unfolding th20 th21 apply simp
apply (subst prod.union_disjoint [symmetric])
apply auto
apply (rule prod.cong)
apply auto
done
then have th2: "(?m1 n * ?p b n)/pochhammer (b - of_nat n + 1) k =
prod (\<lambda>i. b - of_nat i) {0.. n - k - 1}"
using nz' by (simp add: field_simps)
have "(?m1 n * ?p b n * ?m1 k * ?p (of_nat n) k) / (?f n * pochhammer (b - of_nat n + 1) k) =
((?m1 k * ?p (of_nat n) k) / ?f n) * ((?m1 n * ?p b n)/pochhammer (b - of_nat n + 1) k)"
using bnz0
by (simp add: field_simps)
also have "\<dots> = b gchoose (n - k)"
unfolding th1 th2
using kn' m h
apply (simp add: field_simps gbinomial_mult_fact)
apply (rule prod.cong)
apply auto
done
finally show ?thesis by simp
qed
qed
then show ?gchoose and ?pochhammer
apply (cases "n = 0")
using nz'
apply auto
done
qed
have "?r = ((a + b) gchoose n) * (of_nat (fact n) / (?m1 n * pochhammer (- b) n))"
unfolding gbinomial_pochhammer
using bn0 by (auto simp add: field_simps)
also have "\<dots> = ?l"
unfolding gbinomial_Vandermonde[symmetric]
apply (simp add: th00)
unfolding gbinomial_pochhammer
using bn0
apply (simp add: sum_distrib_right sum_distrib_left field_simps)
done
finally show ?thesis by simp
qed
lemma Vandermonde_pochhammer:
fixes a :: "'a::field_char_0"
assumes c: "\<forall>i \<in> {0..< n}. c \<noteq> - of_nat i"
shows "sum (\<lambda>k. (pochhammer a k * pochhammer (- (of_nat n)) k) /
(of_nat (fact k) * pochhammer c k)) {0..n} = pochhammer (c - a) n / pochhammer c n"
proof -
let ?a = "- a"
let ?b = "c + of_nat n - 1"
have h: "\<forall> j \<in>{0..< n}. ?b \<noteq> of_nat j"
using c
apply (auto simp add: algebra_simps of_nat_diff)
apply (erule_tac x = "n - j - 1" in ballE)
apply (auto simp add: of_nat_diff algebra_simps)
done
have th0: "pochhammer (- (?a + ?b)) n = (- 1)^n * pochhammer (c - a) n"
unfolding pochhammer_minus
by (simp add: algebra_simps)
have th1: "pochhammer (- ?b) n = (- 1)^n * pochhammer c n"
unfolding pochhammer_minus
by simp
have nz: "pochhammer c n \<noteq> 0" using c
by (simp add: pochhammer_eq_0_iff)
from Vandermonde_pochhammer_lemma[where a = "?a" and b="?b" and n=n, OF h, unfolded th0 th1]
show ?thesis
using nz by (simp add: field_simps sum_distrib_left)
qed
subsubsection \<open>Formal trigonometric functions\<close>
definition "fps_sin (c::'a::field_char_0) =
Abs_fps (\<lambda>n. if even n then 0 else (- 1) ^((n - 1) div 2) * c^n /(of_nat (fact n)))"
definition "fps_cos (c::'a::field_char_0) =
Abs_fps (\<lambda>n. if even n then (- 1) ^ (n div 2) * c^n / (of_nat (fact n)) else 0)"
lemma fps_sin_0 [simp]: "fps_sin 0 = 0"
by (intro fps_ext) (auto simp: fps_sin_def elim!: oddE)
lemma fps_cos_0 [simp]: "fps_cos 0 = 1"
by (intro fps_ext) (auto simp: fps_cos_def)
lemma fps_sin_deriv:
"fps_deriv (fps_sin c) = fps_const c * fps_cos c"
(is "?lhs = ?rhs")
proof (rule fps_ext)
fix n :: nat
show "?lhs $ n = ?rhs $ n"
proof (cases "even n")
case True
have "?lhs$n = of_nat (n+1) * (fps_sin c $ (n+1))" by simp
also have "\<dots> = of_nat (n+1) * ((- 1)^(n div 2) * c^Suc n / of_nat (fact (Suc n)))"
using True by (simp add: fps_sin_def)
also have "\<dots> = (- 1)^(n div 2) * c^Suc n * (of_nat (n+1) / (of_nat (Suc n) * of_nat (fact n)))"
unfolding fact_Suc of_nat_mult
by (simp add: field_simps del: of_nat_add of_nat_Suc)
also have "\<dots> = (- 1)^(n div 2) *c^Suc n / of_nat (fact n)"
by (simp add: field_simps del: of_nat_add of_nat_Suc)
finally show ?thesis
using True by (simp add: fps_cos_def field_simps)
next
case False
then show ?thesis
by (simp_all add: fps_deriv_def fps_sin_def fps_cos_def)
qed
qed
lemma fps_cos_deriv: "fps_deriv (fps_cos c) = fps_const (- c)* (fps_sin c)"
(is "?lhs = ?rhs")
proof (rule fps_ext)
have th0: "- ((- 1::'a) ^ n) = (- 1)^Suc n" for n
by simp
show "?lhs $ n = ?rhs $ n" for n
proof (cases "even n")
case False
then have n0: "n \<noteq> 0" by presburger
from False have th1: "Suc ((n - 1) div 2) = Suc n div 2"
by (cases n) simp_all
have "?lhs$n = of_nat (n+1) * (fps_cos c $ (n+1))" by simp
also have "\<dots> = of_nat (n+1) * ((- 1)^((n + 1) div 2) * c^Suc n / of_nat (fact (Suc n)))"
using False by (simp add: fps_cos_def)
also have "\<dots> = (- 1)^((n + 1) div 2)*c^Suc n * (of_nat (n+1) / (of_nat (Suc n) * of_nat (fact n)))"
unfolding fact_Suc of_nat_mult
by (simp add: field_simps del: of_nat_add of_nat_Suc)
also have "\<dots> = (- 1)^((n + 1) div 2) * c^Suc n / of_nat (fact n)"
by (simp add: field_simps del: of_nat_add of_nat_Suc)
also have "\<dots> = (- ((- 1)^((n - 1) div 2))) * c^Suc n / of_nat (fact n)"
unfolding th0 unfolding th1 by simp
finally show ?thesis
using False by (simp add: fps_sin_def field_simps)
next
case True
then show ?thesis
by (simp_all add: fps_deriv_def fps_sin_def fps_cos_def)
qed
qed
lemma fps_sin_cos_sum_of_squares: "(fps_cos c)\<^sup>2 + (fps_sin c)\<^sup>2 = 1"
(is "?lhs = _")
proof -
have "fps_deriv ?lhs = 0"
apply (simp add: fps_deriv_power fps_sin_deriv fps_cos_deriv)
apply (simp add: field_simps fps_const_neg[symmetric] del: fps_const_neg)
done
then have "?lhs = fps_const (?lhs $ 0)"
unfolding fps_deriv_eq_0_iff .
also have "\<dots> = 1"
by (auto simp add: fps_eq_iff numeral_2_eq_2 fps_mult_nth fps_cos_def fps_sin_def)
finally show ?thesis .
qed
lemma fps_sin_nth_0 [simp]: "fps_sin c $ 0 = 0"
unfolding fps_sin_def by simp
lemma fps_sin_nth_1 [simp]: "fps_sin c $ 1 = c"
unfolding fps_sin_def by simp
lemma fps_sin_nth_add_2:
"fps_sin c $ (n + 2) = - (c * c * fps_sin c $ n / (of_nat (n + 1) * of_nat (n + 2)))"
unfolding fps_sin_def
apply (cases n)
apply simp
apply (simp add: nonzero_divide_eq_eq nonzero_eq_divide_eq del: of_nat_Suc fact_Suc)
apply simp
done
lemma fps_cos_nth_0 [simp]: "fps_cos c $ 0 = 1"
unfolding fps_cos_def by simp
lemma fps_cos_nth_1 [simp]: "fps_cos c $ 1 = 0"
unfolding fps_cos_def by simp
lemma fps_cos_nth_add_2:
"fps_cos c $ (n + 2) = - (c * c * fps_cos c $ n / (of_nat (n + 1) * of_nat (n + 2)))"
unfolding fps_cos_def
apply (simp add: nonzero_divide_eq_eq nonzero_eq_divide_eq del: of_nat_Suc fact_Suc)
apply simp
done
lemma nat_induct2: "P 0 \<Longrightarrow> P 1 \<Longrightarrow> (\<And>n. P n \<Longrightarrow> P (n + 2)) \<Longrightarrow> P (n::nat)"
unfolding One_nat_def numeral_2_eq_2
apply (induct n rule: nat_less_induct)
apply (case_tac n)
apply simp
apply (rename_tac m)
apply (case_tac m)
apply simp
apply (rename_tac k)
apply (case_tac k)
apply simp_all
done
lemma nat_add_1_add_1: "(n::nat) + 1 + 1 = n + 2"
by simp
lemma eq_fps_sin:
assumes 0: "a $ 0 = 0"
and 1: "a $ 1 = c"
and 2: "fps_deriv (fps_deriv a) = - (fps_const c * fps_const c * a)"
shows "a = fps_sin c"
apply (rule fps_ext)
apply (induct_tac n rule: nat_induct2)
apply (simp add: 0)
apply (simp add: 1 del: One_nat_def)
apply (rename_tac m, cut_tac f="\<lambda>a. a $ m" in arg_cong [OF 2])
apply (simp add: nat_add_1_add_1 fps_sin_nth_add_2
del: One_nat_def of_nat_Suc of_nat_add add_2_eq_Suc')
apply (subst minus_divide_left)
apply (subst nonzero_eq_divide_eq)
apply (simp del: of_nat_add of_nat_Suc)
apply (simp only: ac_simps)
done
lemma eq_fps_cos:
assumes 0: "a $ 0 = 1"
and 1: "a $ 1 = 0"
and 2: "fps_deriv (fps_deriv a) = - (fps_const c * fps_const c * a)"
shows "a = fps_cos c"
apply (rule fps_ext)
apply (induct_tac n rule: nat_induct2)
apply (simp add: 0)
apply (simp add: 1 del: One_nat_def)
apply (rename_tac m, cut_tac f="\<lambda>a. a $ m" in arg_cong [OF 2])
apply (simp add: nat_add_1_add_1 fps_cos_nth_add_2
del: One_nat_def of_nat_Suc of_nat_add add_2_eq_Suc')
apply (subst minus_divide_left)
apply (subst nonzero_eq_divide_eq)
apply (simp del: of_nat_add of_nat_Suc)
apply (simp only: ac_simps)
done
lemma mult_nth_0 [simp]: "(a * b) $ 0 = a $ 0 * b $ 0"
by (simp add: fps_mult_nth)
lemma mult_nth_1 [simp]: "(a * b) $ 1 = a $ 0 * b $ 1 + a $ 1 * b $ 0"
by (simp add: fps_mult_nth)
lemma fps_sin_add: "fps_sin (a + b) = fps_sin a * fps_cos b + fps_cos a * fps_sin b"
apply (rule eq_fps_sin [symmetric], simp, simp del: One_nat_def)
apply (simp del: fps_const_neg fps_const_add fps_const_mult
add: fps_const_add [symmetric] fps_const_neg [symmetric]
fps_sin_deriv fps_cos_deriv algebra_simps)
done
lemma fps_cos_add: "fps_cos (a + b) = fps_cos a * fps_cos b - fps_sin a * fps_sin b"
apply (rule eq_fps_cos [symmetric], simp, simp del: One_nat_def)
apply (simp del: fps_const_neg fps_const_add fps_const_mult
add: fps_const_add [symmetric] fps_const_neg [symmetric]
fps_sin_deriv fps_cos_deriv algebra_simps)
done
lemma fps_sin_even: "fps_sin (- c) = - fps_sin c"
by (auto simp add: fps_eq_iff fps_sin_def)
lemma fps_cos_odd: "fps_cos (- c) = fps_cos c"
by (auto simp add: fps_eq_iff fps_cos_def)
definition "fps_tan c = fps_sin c / fps_cos c"
lemma fps_tan_0 [simp]: "fps_tan 0 = 0"
by (simp add: fps_tan_def)
lemma fps_tan_deriv: "fps_deriv (fps_tan c) = fps_const c / (fps_cos c)\<^sup>2"
proof -
have th0: "fps_cos c $ 0 \<noteq> 0" by (simp add: fps_cos_def)
from this have "fps_cos c \<noteq> 0" by (intro notI) simp
hence "fps_deriv (fps_tan c) =
fps_const c * (fps_cos c^2 + fps_sin c^2) / (fps_cos c^2)"
by (simp add: fps_tan_def fps_divide_deriv power2_eq_square algebra_simps
fps_sin_deriv fps_cos_deriv fps_const_neg[symmetric] div_mult_swap
del: fps_const_neg)
also note fps_sin_cos_sum_of_squares
finally show ?thesis by simp
qed
text \<open>Connection to @{const "fps_exp"} over the complex numbers --- Euler and de Moivre.\<close>
lemma fps_exp_ii_sin_cos: "fps_exp (\<i> * c) = fps_cos c + fps_const \<i> * fps_sin c"
(is "?l = ?r")
proof -
have "?l $ n = ?r $ n" for n
proof (cases "even n")
case True
then obtain m where m: "n = 2 * m" ..
show ?thesis
by (simp add: m fps_sin_def fps_cos_def power_mult_distrib power_mult power_minus [of "c ^ 2"])
next
case False
then obtain m where m: "n = 2 * m + 1" ..
show ?thesis
by (simp add: m fps_sin_def fps_cos_def power_mult_distrib
power_mult power_minus [of "c ^ 2"])
qed
then show ?thesis
by (simp add: fps_eq_iff)
qed
lemma fps_exp_minus_ii_sin_cos: "fps_exp (- (\<i> * c)) = fps_cos c - fps_const \<i> * fps_sin c"
unfolding minus_mult_right fps_exp_ii_sin_cos by (simp add: fps_sin_even fps_cos_odd)
lemma fps_const_minus: "fps_const (c::'a::group_add) - fps_const d = fps_const (c - d)"
by (fact fps_const_sub)
lemma fps_of_int: "fps_const (of_int c) = of_int c"
by (induction c) (simp_all add: fps_const_minus [symmetric] fps_of_nat fps_const_neg [symmetric]
del: fps_const_minus fps_const_neg)
lemma fps_deriv_of_int [simp]: "fps_deriv (of_int n) = 0"
by (simp add: fps_of_int [symmetric])
lemma fps_numeral_fps_const: "numeral i = fps_const (numeral i :: 'a::comm_ring_1)"
by (fact numeral_fps_const) (* FIfps_XME: duplicate *)
lemma fps_cos_fps_exp_ii: "fps_cos c = (fps_exp (\<i> * c) + fps_exp (- \<i> * c)) / fps_const 2"
proof -
have th: "fps_cos c + fps_cos c = fps_cos c * fps_const 2"
by (simp add: numeral_fps_const)
show ?thesis
unfolding fps_exp_ii_sin_cos minus_mult_commute
by (simp add: fps_sin_even fps_cos_odd numeral_fps_const fps_divide_unit fps_const_inverse th)
qed
lemma fps_sin_fps_exp_ii: "fps_sin c = (fps_exp (\<i> * c) - fps_exp (- \<i> * c)) / fps_const (2*\<i>)"
proof -
have th: "fps_const \<i> * fps_sin c + fps_const \<i> * fps_sin c = fps_sin c * fps_const (2 * \<i>)"
by (simp add: fps_eq_iff numeral_fps_const)
show ?thesis
unfolding fps_exp_ii_sin_cos minus_mult_commute
by (simp add: fps_sin_even fps_cos_odd fps_divide_unit fps_const_inverse th)
qed
lemma fps_tan_fps_exp_ii:
"fps_tan c = (fps_exp (\<i> * c) - fps_exp (- \<i> * c)) /
(fps_const \<i> * (fps_exp (\<i> * c) + fps_exp (- \<i> * c)))"
unfolding fps_tan_def fps_sin_fps_exp_ii fps_cos_fps_exp_ii mult_minus_left fps_exp_neg
apply (simp add: fps_divide_unit fps_inverse_mult fps_const_mult[symmetric] fps_const_inverse del: fps_const_mult)
apply simp
done
lemma fps_demoivre:
"(fps_cos a + fps_const \<i> * fps_sin a)^n =
fps_cos (of_nat n * a) + fps_const \<i> * fps_sin (of_nat n * a)"
unfolding fps_exp_ii_sin_cos[symmetric] fps_exp_power_mult
by (simp add: ac_simps)
subsection \<open>Hypergeometric series\<close>
definition "fps_hypergeo as bs (c::'a::{field_char_0,field}) =
Abs_fps (\<lambda>n. (foldl (\<lambda>r a. r* pochhammer a n) 1 as * c^n) /
(foldl (\<lambda>r b. r * pochhammer b n) 1 bs * of_nat (fact n)))"
lemma fps_hypergeo_nth[simp]: "fps_hypergeo as bs c $ n =
(foldl (\<lambda>r a. r* pochhammer a n) 1 as * c^n) /
(foldl (\<lambda>r b. r * pochhammer b n) 1 bs * of_nat (fact n))"
by (simp add: fps_hypergeo_def)
lemma foldl_mult_start:
fixes v :: "'a::comm_ring_1"
shows "foldl (\<lambda>r x. r * f x) v as * x = foldl (\<lambda>r x. r * f x) (v * x) as "
by (induct as arbitrary: x v) (auto simp add: algebra_simps)
lemma foldr_mult_foldl:
fixes v :: "'a::comm_ring_1"
shows "foldr (\<lambda>x r. r * f x) as v = foldl (\<lambda>r x. r * f x) v as"
by (induct as arbitrary: v) (auto simp add: foldl_mult_start)
lemma fps_hypergeo_nth_alt:
"fps_hypergeo as bs c $ n = foldr (\<lambda>a r. r * pochhammer a n) as (c ^ n) /
foldr (\<lambda>b r. r * pochhammer b n) bs (of_nat (fact n))"
by (simp add: foldl_mult_start foldr_mult_foldl)
lemma fps_hypergeo_fps_exp[simp]: "fps_hypergeo [] [] c = fps_exp c"
by (simp add: fps_eq_iff)
lemma fps_hypergeo_1_0[simp]: "fps_hypergeo [1] [] c = 1/(1 - fps_const c * fps_X)"
proof -
let ?a = "(Abs_fps (\<lambda>n. 1)) oo (fps_const c * fps_X)"
have th0: "(fps_const c * fps_X) $ 0 = 0" by simp
show ?thesis unfolding gp[OF th0, symmetric]
by (auto simp add: fps_eq_iff pochhammer_fact[symmetric]
fps_compose_nth power_mult_distrib cond_value_iff sum.delta' cong del: if_weak_cong)
qed
lemma fps_hypergeo_B[simp]: "fps_hypergeo [-a] [] (- 1) = fps_binomial a"
by (simp add: fps_eq_iff gbinomial_pochhammer algebra_simps)
lemma fps_hypergeo_0[simp]: "fps_hypergeo as bs c $ 0 = 1"
apply simp
apply (subgoal_tac "\<forall>as. foldl (\<lambda>(r::'a) (a::'a). r) 1 as = 1")
apply auto
apply (induct_tac as)
apply auto
done
lemma foldl_prod_prod:
"foldl (\<lambda>(r::'b::comm_ring_1) (x::'a::comm_ring_1). r * f x) v as * foldl (\<lambda>r x. r * g x) w as =
foldl (\<lambda>r x. r * f x * g x) (v * w) as"
by (induct as arbitrary: v w) (auto simp add: algebra_simps)
lemma fps_hypergeo_rec:
"fps_hypergeo as bs c $ Suc n = ((foldl (\<lambda>r a. r* (a + of_nat n)) c as) /
(foldl (\<lambda>r b. r * (b + of_nat n)) (of_nat (Suc n)) bs )) * fps_hypergeo as bs c $ n"
apply (simp del: of_nat_Suc of_nat_add fact_Suc)
apply (simp add: foldl_mult_start del: fact_Suc of_nat_Suc)
unfolding foldl_prod_prod[unfolded foldl_mult_start] pochhammer_Suc
apply (simp add: algebra_simps)
done
lemma fps_XD_nth[simp]: "fps_XD a $ n = (if n = 0 then 0 else of_nat n * a$n)"
by (simp add: fps_XD_def)
lemma fps_XD_0th[simp]: "fps_XD a $ 0 = 0"
by simp
lemma fps_XD_Suc[simp]:" fps_XD a $ Suc n = of_nat (Suc n) * a $ Suc n"
by simp
definition "fps_XDp c a = fps_XD a + fps_const c * a"
lemma fps_XDp_nth[simp]: "fps_XDp c a $ n = (c + of_nat n) * a$n"
by (simp add: fps_XDp_def algebra_simps)
lemma fps_XDp_commute: "fps_XDp b \<circ> fps_XDp (c::'a::comm_ring_1) = fps_XDp c \<circ> fps_XDp b"
by (auto simp add: fps_XDp_def fun_eq_iff fps_eq_iff algebra_simps)
lemma fps_XDp0 [simp]: "fps_XDp 0 = fps_XD"
by (simp add: fun_eq_iff fps_eq_iff)
lemma fps_XDp_fps_integral [simp]: "fps_XDp 0 (fps_integral a c) = fps_X * a"
by (simp add: fps_eq_iff fps_integral_def)
lemma fps_hypergeo_minus_nat:
"fps_hypergeo [- of_nat n] [- of_nat (n + m)] (c::'a::{field_char_0,field}) $ k =
(if k \<le> n then
pochhammer (- of_nat n) k * c ^ k / (pochhammer (- of_nat (n + m)) k * of_nat (fact k))
else 0)"
"fps_hypergeo [- of_nat m] [- of_nat (m + n)] (c::'a::{field_char_0,field}) $ k =
(if k \<le> m then
pochhammer (- of_nat m) k * c ^ k / (pochhammer (- of_nat (m + n)) k * of_nat (fact k))
else 0)"
by (auto simp add: pochhammer_eq_0_iff)
lemma sum_eq_if: "sum f {(n::nat) .. m} = (if m < n then 0 else f n + sum f {n+1 .. m})"
apply simp
apply (subst sum.insert[symmetric])
apply (auto simp add: not_less sum_head_Suc)
done
lemma pochhammer_rec_if: "pochhammer a n = (if n = 0 then 1 else a * pochhammer (a + 1) (n - 1))"
by (cases n) (simp_all add: pochhammer_rec)
lemma fps_XDp_foldr_nth [simp]: "foldr (\<lambda>c r. fps_XDp c \<circ> r) cs (\<lambda>c. fps_XDp c a) c0 $ n =
foldr (\<lambda>c r. (c + of_nat n) * r) cs (c0 + of_nat n) * a$n"
by (induct cs arbitrary: c0) (auto simp add: algebra_simps)
lemma genric_fps_XDp_foldr_nth:
assumes f: "\<forall>n c a. f c a $ n = (of_nat n + k c) * a$n"
shows "foldr (\<lambda>c r. f c \<circ> r) cs (\<lambda>c. g c a) c0 $ n =
foldr (\<lambda>c r. (k c + of_nat n) * r) cs (g c0 a $ n)"
by (induct cs arbitrary: c0) (auto simp add: algebra_simps f)
lemma dist_less_imp_nth_equal:
assumes "dist f g < inverse (2 ^ i)"
and"j \<le> i"
shows "f $ j = g $ j"
proof (rule ccontr)
assume "f $ j \<noteq> g $ j"
hence "f \<noteq> g" by auto
with assms have "i < subdegree (f - g)"
by (simp add: if_split_asm dist_fps_def)
also have "\<dots> \<le> j"
using \<open>f $ j \<noteq> g $ j\<close> by (intro subdegree_leI) simp_all
finally show False using \<open>j \<le> i\<close> by simp
qed
lemma nth_equal_imp_dist_less:
assumes "\<And>j. j \<le> i \<Longrightarrow> f $ j = g $ j"
shows "dist f g < inverse (2 ^ i)"
proof (cases "f = g")
case True
then show ?thesis by simp
next
case False
with assms have "dist f g = inverse (2 ^ subdegree (f - g))"
by (simp add: if_split_asm dist_fps_def)
moreover
from assms and False have "i < subdegree (f - g)"
by (intro subdegree_greaterI) simp_all
ultimately show ?thesis by simp
qed
lemma dist_less_eq_nth_equal: "dist f g < inverse (2 ^ i) \<longleftrightarrow> (\<forall>j \<le> i. f $ j = g $ j)"
using dist_less_imp_nth_equal nth_equal_imp_dist_less by blast
instance fps :: (comm_ring_1) complete_space
proof
fix fps_X :: "nat \<Rightarrow> 'a fps"
assume "Cauchy fps_X"
obtain M where M: "\<forall>i. \<forall>m \<ge> M i. \<forall>j \<le> i. fps_X (M i) $ j = fps_X m $ j"
proof -
have "\<exists>M. \<forall>m \<ge> M. \<forall>j\<le>i. fps_X M $ j = fps_X m $ j" for i
proof -
have "0 < inverse ((2::real)^i)" by simp
from metric_CauchyD[OF \<open>Cauchy fps_X\<close> this] dist_less_imp_nth_equal
show ?thesis by blast
qed
then show ?thesis using that by metis
qed
show "convergent fps_X"
proof (rule convergentI)
show "fps_X \<longlonglongrightarrow> Abs_fps (\<lambda>i. fps_X (M i) $ i)"
unfolding tendsto_iff
proof safe
fix e::real assume e: "0 < e"
have "(\<lambda>n. inverse (2 ^ n) :: real) \<longlonglongrightarrow> 0" by (rule LIMSEQ_inverse_realpow_zero) simp_all
from this and e have "eventually (\<lambda>i. inverse (2 ^ i) < e) sequentially"
by (rule order_tendstoD)
then obtain i where "inverse (2 ^ i) < e"
by (auto simp: eventually_sequentially)
have "eventually (\<lambda>x. M i \<le> x) sequentially"
by (auto simp: eventually_sequentially)
then show "eventually (\<lambda>x. dist (fps_X x) (Abs_fps (\<lambda>i. fps_X (M i) $ i)) < e) sequentially"
proof eventually_elim
fix x
assume x: "M i \<le> x"
have "fps_X (M i) $ j = fps_X (M j) $ j" if "j \<le> i" for j
using M that by (metis nat_le_linear)
with x have "dist (fps_X x) (Abs_fps (\<lambda>j. fps_X (M j) $ j)) < inverse (2 ^ i)"
using M by (force simp: dist_less_eq_nth_equal)
also note \<open>inverse (2 ^ i) < e\<close>
finally show "dist (fps_X x) (Abs_fps (\<lambda>j. fps_X (M j) $ j)) < e" .
qed
qed
qed
qed
(* TODO: Figure out better notation for this thing *)
no_notation fps_nth (infixl "$" 75)
bundle fps_notation
begin
notation fps_nth (infixl "$" 75)
end
end