(* Title : Series.thy
Author : Jacques D. Fleuriot
Copyright : 1998 University of Cambridge
Converted to Isar and polished by lcp
Converted to setsum and polished yet more by TNN
Additional contributions by Jeremy Avigad
*)
header{*Finite Summation and Infinite Series*}
theory Series
imports SEQ Deriv
begin
definition
sums :: "(nat \<Rightarrow> 'a::real_normed_vector) \<Rightarrow> 'a \<Rightarrow> bool"
(infixr "sums" 80) where
"f sums s = (%n. setsum f {0..<n}) ----> s"
definition
summable :: "(nat \<Rightarrow> 'a::real_normed_vector) \<Rightarrow> bool" where
"summable f = (\<exists>s. f sums s)"
definition
suminf :: "(nat \<Rightarrow> 'a::real_normed_vector) \<Rightarrow> 'a" where
"suminf f = (THE s. f sums s)"
syntax
"_suminf" :: "idt \<Rightarrow> 'a \<Rightarrow> 'a" ("\<Sum>_. _" [0, 10] 10)
translations
"\<Sum>i. b" == "CONST suminf (%i. b)"
lemma [trans]: "f=g ==> g sums z ==> f sums z"
by simp
lemma sumr_diff_mult_const:
"setsum f {0..<n} - (real n*r) = setsum (%i. f i - r) {0..<n::nat}"
by (simp add: diff_minus setsum_addf real_of_nat_def)
lemma real_setsum_nat_ivl_bounded:
"(!!p. p < n \<Longrightarrow> f(p) \<le> K)
\<Longrightarrow> setsum f {0..<n::nat} \<le> real n * K"
using setsum_bounded[where A = "{0..<n}"]
by (auto simp:real_of_nat_def)
(* Generalize from real to some algebraic structure? *)
lemma sumr_minus_one_realpow_zero [simp]:
"(\<Sum>i=0..<2*n. (-1) ^ Suc i) = (0::real)"
by (induct "n", auto)
(* FIXME this is an awful lemma! *)
lemma sumr_one_lb_realpow_zero [simp]:
"(\<Sum>n=Suc 0..<n. f(n) * (0::real) ^ n) = 0"
by (rule setsum_0', simp)
lemma sumr_group:
"(\<Sum>m=0..<n::nat. setsum f {m * k ..< m*k + k}) = setsum f {0 ..< n * k}"
apply (subgoal_tac "k = 0 | 0 < k", auto)
apply (induct "n")
apply (simp_all add: setsum_add_nat_ivl add_commute)
done
lemma sumr_offset3:
"setsum f {0::nat..<n+k} = (\<Sum>m=0..<n. f (m+k)) + setsum f {0..<k}"
apply (subst setsum_shift_bounds_nat_ivl [symmetric])
apply (simp add: setsum_add_nat_ivl add_commute)
done
lemma sumr_offset:
fixes f :: "nat \<Rightarrow> 'a::ab_group_add"
shows "(\<Sum>m=0..<n. f(m+k)) = setsum f {0..<n+k} - setsum f {0..<k}"
by (simp add: sumr_offset3)
lemma sumr_offset2:
"\<forall>f. (\<Sum>m=0..<n::nat. f(m+k)::real) = setsum f {0..<n+k} - setsum f {0..<k}"
by (simp add: sumr_offset)
lemma sumr_offset4:
"\<forall>n f. setsum f {0::nat..<n+k} = (\<Sum>m=0..<n. f (m+k)::real) + setsum f {0..<k}"
by (clarify, rule sumr_offset3)
(*
lemma sumr_from_1_from_0: "0 < n ==>
(\<Sum>n=Suc 0 ..< Suc n. if even(n) then 0 else
((- 1) ^ ((n - (Suc 0)) div 2))/(real (fact n))) * a ^ n =
(\<Sum>n=0..<Suc n. if even(n) then 0 else
((- 1) ^ ((n - (Suc 0)) div 2))/(real (fact n))) * a ^ n"
by (rule_tac n1 = 1 in sumr_split_add [THEN subst], auto)
*)
subsection{* Infinite Sums, by the Properties of Limits*}
(*----------------------
suminf is the sum
---------------------*)
lemma sums_summable: "f sums l ==> summable f"
by (simp add: sums_def summable_def, blast)
lemma summable_sums: "summable f ==> f sums (suminf f)"
apply (simp add: summable_def suminf_def sums_def)
apply (fast intro: theI LIMSEQ_unique)
done
lemma summable_sumr_LIMSEQ_suminf:
"summable f ==> (%n. setsum f {0..<n}) ----> (suminf f)"
by (rule summable_sums [unfolded sums_def])
lemma suminf_eq_lim: "suminf f = lim (%n. setsum f {0..<n})"
by (simp add: suminf_def sums_def lim_def)
(*-------------------
sum is unique
------------------*)
lemma sums_unique: "f sums s ==> (s = suminf f)"
apply (frule sums_summable [THEN summable_sums])
apply (auto intro!: LIMSEQ_unique simp add: sums_def)
done
lemma sums_iff: "f sums x \<longleftrightarrow> summable f \<and> (suminf f = x)"
by (metis summable_sums sums_summable sums_unique)
lemma sums_split_initial_segment: "f sums s ==>
(%n. f(n + k)) sums (s - (SUM i = 0..< k. f i))"
apply (unfold sums_def);
apply (simp add: sumr_offset);
apply (rule LIMSEQ_diff_const)
apply (rule LIMSEQ_ignore_initial_segment)
apply assumption
done
lemma summable_ignore_initial_segment: "summable f ==>
summable (%n. f(n + k))"
apply (unfold summable_def)
apply (auto intro: sums_split_initial_segment)
done
lemma suminf_minus_initial_segment: "summable f ==>
suminf f = s ==> suminf (%n. f(n + k)) = s - (SUM i = 0..< k. f i)"
apply (frule summable_ignore_initial_segment)
apply (rule sums_unique [THEN sym])
apply (frule summable_sums)
apply (rule sums_split_initial_segment)
apply auto
done
lemma suminf_split_initial_segment: "summable f ==>
suminf f = (SUM i = 0..< k. f i) + suminf (%n. f(n + k))"
by (auto simp add: suminf_minus_initial_segment)
lemma suminf_exist_split: fixes r :: real assumes "0 < r" and "summable a"
shows "\<exists> N. \<forall> n \<ge> N. \<bar> \<Sum> i. a (i + n) \<bar> < r"
proof -
from LIMSEQ_D[OF summable_sumr_LIMSEQ_suminf[OF `summable a`] `0 < r`]
obtain N :: nat where "\<forall> n \<ge> N. norm (setsum a {0..<n} - suminf a) < r" by auto
thus ?thesis unfolding suminf_minus_initial_segment[OF `summable a` refl] abs_minus_commute real_norm_def
by auto
qed
lemma sums_Suc: assumes sumSuc: "(\<lambda> n. f (Suc n)) sums l" shows "f sums (l + f 0)"
proof -
from sumSuc[unfolded sums_def]
have "(\<lambda>i. \<Sum>n = Suc 0..<Suc i. f n) ----> l" unfolding setsum_reindex[OF inj_Suc] image_Suc_atLeastLessThan[symmetric] comp_def .
from LIMSEQ_add_const[OF this, where b="f 0"]
have "(\<lambda>i. \<Sum>n = 0..<Suc i. f n) ----> l + f 0" unfolding add_commute setsum_head_upt_Suc[OF zero_less_Suc] .
thus ?thesis unfolding sums_def by (rule LIMSEQ_imp_Suc)
qed
lemma series_zero:
"(\<forall>m. n \<le> m --> f(m) = 0) ==> f sums (setsum f {0..<n})"
apply (simp add: sums_def LIMSEQ_iff diff_minus[symmetric], safe)
apply (rule_tac x = n in exI)
apply (clarsimp simp add:setsum_diff[symmetric] cong:setsum_ivl_cong)
done
lemma sums_zero: "(\<lambda>n. 0) sums 0"
unfolding sums_def by (simp add: LIMSEQ_const)
lemma summable_zero: "summable (\<lambda>n. 0)"
by (rule sums_zero [THEN sums_summable])
lemma suminf_zero: "suminf (\<lambda>n. 0) = 0"
by (rule sums_zero [THEN sums_unique, symmetric])
lemma (in bounded_linear) sums:
"(\<lambda>n. X n) sums a \<Longrightarrow> (\<lambda>n. f (X n)) sums (f a)"
unfolding sums_def by (drule LIMSEQ, simp only: setsum)
lemma (in bounded_linear) summable:
"summable (\<lambda>n. X n) \<Longrightarrow> summable (\<lambda>n. f (X n))"
unfolding summable_def by (auto intro: sums)
lemma (in bounded_linear) suminf:
"summable (\<lambda>n. X n) \<Longrightarrow> f (\<Sum>n. X n) = (\<Sum>n. f (X n))"
by (intro sums_unique sums summable_sums)
lemma sums_mult:
fixes c :: "'a::real_normed_algebra"
shows "f sums a \<Longrightarrow> (\<lambda>n. c * f n) sums (c * a)"
by (rule mult_right.sums)
lemma summable_mult:
fixes c :: "'a::real_normed_algebra"
shows "summable f \<Longrightarrow> summable (%n. c * f n)"
by (rule mult_right.summable)
lemma suminf_mult:
fixes c :: "'a::real_normed_algebra"
shows "summable f \<Longrightarrow> suminf (\<lambda>n. c * f n) = c * suminf f";
by (rule mult_right.suminf [symmetric])
lemma sums_mult2:
fixes c :: "'a::real_normed_algebra"
shows "f sums a \<Longrightarrow> (\<lambda>n. f n * c) sums (a * c)"
by (rule mult_left.sums)
lemma summable_mult2:
fixes c :: "'a::real_normed_algebra"
shows "summable f \<Longrightarrow> summable (\<lambda>n. f n * c)"
by (rule mult_left.summable)
lemma suminf_mult2:
fixes c :: "'a::real_normed_algebra"
shows "summable f \<Longrightarrow> suminf f * c = (\<Sum>n. f n * c)"
by (rule mult_left.suminf)
lemma sums_divide:
fixes c :: "'a::real_normed_field"
shows "f sums a \<Longrightarrow> (\<lambda>n. f n / c) sums (a / c)"
by (rule divide.sums)
lemma summable_divide:
fixes c :: "'a::real_normed_field"
shows "summable f \<Longrightarrow> summable (\<lambda>n. f n / c)"
by (rule divide.summable)
lemma suminf_divide:
fixes c :: "'a::real_normed_field"
shows "summable f \<Longrightarrow> suminf (\<lambda>n. f n / c) = suminf f / c"
by (rule divide.suminf [symmetric])
lemma sums_add: "\<lbrakk>X sums a; Y sums b\<rbrakk> \<Longrightarrow> (\<lambda>n. X n + Y n) sums (a + b)"
unfolding sums_def by (simp add: setsum_addf LIMSEQ_add)
lemma summable_add: "\<lbrakk>summable X; summable Y\<rbrakk> \<Longrightarrow> summable (\<lambda>n. X n + Y n)"
unfolding summable_def by (auto intro: sums_add)
lemma suminf_add:
"\<lbrakk>summable X; summable Y\<rbrakk> \<Longrightarrow> suminf X + suminf Y = (\<Sum>n. X n + Y n)"
by (intro sums_unique sums_add summable_sums)
lemma sums_diff: "\<lbrakk>X sums a; Y sums b\<rbrakk> \<Longrightarrow> (\<lambda>n. X n - Y n) sums (a - b)"
unfolding sums_def by (simp add: setsum_subtractf LIMSEQ_diff)
lemma summable_diff: "\<lbrakk>summable X; summable Y\<rbrakk> \<Longrightarrow> summable (\<lambda>n. X n - Y n)"
unfolding summable_def by (auto intro: sums_diff)
lemma suminf_diff:
"\<lbrakk>summable X; summable Y\<rbrakk> \<Longrightarrow> suminf X - suminf Y = (\<Sum>n. X n - Y n)"
by (intro sums_unique sums_diff summable_sums)
lemma sums_minus: "X sums a ==> (\<lambda>n. - X n) sums (- a)"
unfolding sums_def by (simp add: setsum_negf LIMSEQ_minus)
lemma summable_minus: "summable X \<Longrightarrow> summable (\<lambda>n. - X n)"
unfolding summable_def by (auto intro: sums_minus)
lemma suminf_minus: "summable X \<Longrightarrow> (\<Sum>n. - X n) = - (\<Sum>n. X n)"
by (intro sums_unique [symmetric] sums_minus summable_sums)
lemma sums_group:
"[|summable f; 0 < k |] ==> (%n. setsum f {n*k..<n*k+k}) sums (suminf f)"
apply (drule summable_sums)
apply (simp only: sums_def sumr_group)
apply (unfold LIMSEQ_iff, safe)
apply (drule_tac x="r" in spec, safe)
apply (rule_tac x="no" in exI, safe)
apply (drule_tac x="n*k" in spec)
apply (erule mp)
apply (erule order_trans)
apply simp
done
text{*A summable series of positive terms has limit that is at least as
great as any partial sum.*}
lemma pos_summable:
fixes f:: "nat \<Rightarrow> real"
assumes pos: "!!n. 0 \<le> f n" and le: "!!n. setsum f {0..<n} \<le> x"
shows "summable f"
proof -
have "convergent (\<lambda>n. setsum f {0..<n})"
proof (rule Bseq_mono_convergent)
show "Bseq (\<lambda>n. setsum f {0..<n})"
by (rule f_inc_g_dec_Beq_f [of "(\<lambda>n. setsum f {0..<n})" "\<lambda>n. x"])
(auto simp add: le pos)
next
show "\<forall>m n. m \<le> n \<longrightarrow> setsum f {0..<m} \<le> setsum f {0..<n}"
by (auto intro: setsum_mono2 pos)
qed
then obtain L where "(%n. setsum f {0..<n}) ----> L"
by (blast dest: convergentD)
thus ?thesis
by (force simp add: summable_def sums_def)
qed
lemma series_pos_le:
fixes f :: "nat \<Rightarrow> real"
shows "\<lbrakk>summable f; \<forall>m\<ge>n. 0 \<le> f m\<rbrakk> \<Longrightarrow> setsum f {0..<n} \<le> suminf f"
apply (drule summable_sums)
apply (simp add: sums_def)
apply (cut_tac k = "setsum f {0..<n}" in LIMSEQ_const)
apply (erule LIMSEQ_le, blast)
apply (rule_tac x="n" in exI, clarify)
apply (rule setsum_mono2)
apply auto
done
lemma series_pos_less:
fixes f :: "nat \<Rightarrow> real"
shows "\<lbrakk>summable f; \<forall>m\<ge>n. 0 < f m\<rbrakk> \<Longrightarrow> setsum f {0..<n} < suminf f"
apply (rule_tac y="setsum f {0..<Suc n}" in order_less_le_trans)
apply simp
apply (erule series_pos_le)
apply (simp add: order_less_imp_le)
done
lemma suminf_gt_zero:
fixes f :: "nat \<Rightarrow> real"
shows "\<lbrakk>summable f; \<forall>n. 0 < f n\<rbrakk> \<Longrightarrow> 0 < suminf f"
by (drule_tac n="0" in series_pos_less, simp_all)
lemma suminf_ge_zero:
fixes f :: "nat \<Rightarrow> real"
shows "\<lbrakk>summable f; \<forall>n. 0 \<le> f n\<rbrakk> \<Longrightarrow> 0 \<le> suminf f"
by (drule_tac n="0" in series_pos_le, simp_all)
lemma sumr_pos_lt_pair:
fixes f :: "nat \<Rightarrow> real"
shows "\<lbrakk>summable f;
\<forall>d. 0 < f (k + (Suc(Suc 0) * d)) + f (k + ((Suc(Suc 0) * d) + 1))\<rbrakk>
\<Longrightarrow> setsum f {0..<k} < suminf f"
unfolding One_nat_def
apply (subst suminf_split_initial_segment [where k="k"])
apply assumption
apply simp
apply (drule_tac k="k" in summable_ignore_initial_segment)
apply (drule_tac k="Suc (Suc 0)" in sums_group, simp)
apply simp
apply (frule sums_unique)
apply (drule sums_summable)
apply simp
apply (erule suminf_gt_zero)
apply (simp add: add_ac)
done
text{*Sum of a geometric progression.*}
lemmas sumr_geometric = geometric_sum [where 'a = real]
lemma geometric_sums:
fixes x :: "'a::{real_normed_field}"
shows "norm x < 1 \<Longrightarrow> (\<lambda>n. x ^ n) sums (1 / (1 - x))"
proof -
assume less_1: "norm x < 1"
hence neq_1: "x \<noteq> 1" by auto
hence neq_0: "x - 1 \<noteq> 0" by simp
from less_1 have lim_0: "(\<lambda>n. x ^ n) ----> 0"
by (rule LIMSEQ_power_zero)
hence "(\<lambda>n. x ^ n / (x - 1) - 1 / (x - 1)) ----> 0 / (x - 1) - 1 / (x - 1)"
using neq_0 by (intro LIMSEQ_divide LIMSEQ_diff LIMSEQ_const)
hence "(\<lambda>n. (x ^ n - 1) / (x - 1)) ----> 1 / (1 - x)"
by (simp add: nonzero_minus_divide_right [OF neq_0] diff_divide_distrib)
thus "(\<lambda>n. x ^ n) sums (1 / (1 - x))"
by (simp add: sums_def geometric_sum neq_1)
qed
lemma summable_geometric:
fixes x :: "'a::{real_normed_field}"
shows "norm x < 1 \<Longrightarrow> summable (\<lambda>n. x ^ n)"
by (rule geometric_sums [THEN sums_summable])
lemma half: "0 < 1 / (2::'a::{number_ring,linordered_field_inverse_zero})"
by arith
lemma power_half_series: "(\<lambda>n. (1/2::real)^Suc n) sums 1"
proof -
have 2: "(\<lambda>n. (1/2::real)^n) sums 2" using geometric_sums [of "1/2::real"]
by auto
have "(\<lambda>n. (1/2::real)^Suc n) = (\<lambda>n. (1 / 2) ^ n / 2)"
by simp
thus ?thesis using divide.sums [OF 2, of 2]
by simp
qed
text{*Cauchy-type criterion for convergence of series (c.f. Harrison)*}
lemma summable_convergent_sumr_iff:
"summable f = convergent (%n. setsum f {0..<n})"
by (simp add: summable_def sums_def convergent_def)
lemma summable_LIMSEQ_zero: "summable f \<Longrightarrow> f ----> 0"
apply (drule summable_convergent_sumr_iff [THEN iffD1])
apply (drule convergent_Cauchy)
apply (simp only: Cauchy_iff LIMSEQ_iff, safe)
apply (drule_tac x="r" in spec, safe)
apply (rule_tac x="M" in exI, safe)
apply (drule_tac x="Suc n" in spec, simp)
apply (drule_tac x="n" in spec, simp)
done
lemma suminf_le:
fixes x :: real
shows "summable f \<Longrightarrow> (!!n. setsum f {0..<n} \<le> x) \<Longrightarrow> suminf f \<le> x"
by (simp add: summable_convergent_sumr_iff suminf_eq_lim lim_le)
lemma summable_Cauchy:
"summable (f::nat \<Rightarrow> 'a::banach) =
(\<forall>e > 0. \<exists>N. \<forall>m \<ge> N. \<forall>n. norm (setsum f {m..<n}) < e)"
apply (simp only: summable_convergent_sumr_iff Cauchy_convergent_iff [symmetric] Cauchy_iff, safe)
apply (drule spec, drule (1) mp)
apply (erule exE, rule_tac x="M" in exI, clarify)
apply (rule_tac x="m" and y="n" in linorder_le_cases)
apply (frule (1) order_trans)
apply (drule_tac x="n" in spec, drule (1) mp)
apply (drule_tac x="m" in spec, drule (1) mp)
apply (simp add: setsum_diff [symmetric])
apply simp
apply (drule spec, drule (1) mp)
apply (erule exE, rule_tac x="N" in exI, clarify)
apply (rule_tac x="m" and y="n" in linorder_le_cases)
apply (subst norm_minus_commute)
apply (simp add: setsum_diff [symmetric])
apply (simp add: setsum_diff [symmetric])
done
text{*Comparison test*}
lemma norm_setsum:
fixes f :: "'a \<Rightarrow> 'b::real_normed_vector"
shows "norm (setsum f A) \<le> (\<Sum>i\<in>A. norm (f i))"
apply (case_tac "finite A")
apply (erule finite_induct)
apply simp
apply simp
apply (erule order_trans [OF norm_triangle_ineq add_left_mono])
apply simp
done
lemma summable_comparison_test:
fixes f :: "nat \<Rightarrow> 'a::banach"
shows "\<lbrakk>\<exists>N. \<forall>n\<ge>N. norm (f n) \<le> g n; summable g\<rbrakk> \<Longrightarrow> summable f"
apply (simp add: summable_Cauchy, safe)
apply (drule_tac x="e" in spec, safe)
apply (rule_tac x = "N + Na" in exI, safe)
apply (rotate_tac 2)
apply (drule_tac x = m in spec)
apply (auto, rotate_tac 2, drule_tac x = n in spec)
apply (rule_tac y = "\<Sum>k=m..<n. norm (f k)" in order_le_less_trans)
apply (rule norm_setsum)
apply (rule_tac y = "setsum g {m..<n}" in order_le_less_trans)
apply (auto intro: setsum_mono simp add: abs_less_iff)
done
lemma summable_norm_comparison_test:
fixes f :: "nat \<Rightarrow> 'a::banach"
shows "\<lbrakk>\<exists>N. \<forall>n\<ge>N. norm (f n) \<le> g n; summable g\<rbrakk>
\<Longrightarrow> summable (\<lambda>n. norm (f n))"
apply (rule summable_comparison_test)
apply (auto)
done
lemma summable_rabs_comparison_test:
fixes f :: "nat \<Rightarrow> real"
shows "\<lbrakk>\<exists>N. \<forall>n\<ge>N. \<bar>f n\<bar> \<le> g n; summable g\<rbrakk> \<Longrightarrow> summable (\<lambda>n. \<bar>f n\<bar>)"
apply (rule summable_comparison_test)
apply (auto)
done
text{*Summability of geometric series for real algebras*}
lemma complete_algebra_summable_geometric:
fixes x :: "'a::{real_normed_algebra_1,banach}"
shows "norm x < 1 \<Longrightarrow> summable (\<lambda>n. x ^ n)"
proof (rule summable_comparison_test)
show "\<exists>N. \<forall>n\<ge>N. norm (x ^ n) \<le> norm x ^ n"
by (simp add: norm_power_ineq)
show "norm x < 1 \<Longrightarrow> summable (\<lambda>n. norm x ^ n)"
by (simp add: summable_geometric)
qed
text{*Limit comparison property for series (c.f. jrh)*}
lemma summable_le:
fixes f g :: "nat \<Rightarrow> real"
shows "\<lbrakk>\<forall>n. f n \<le> g n; summable f; summable g\<rbrakk> \<Longrightarrow> suminf f \<le> suminf g"
apply (drule summable_sums)+
apply (simp only: sums_def, erule (1) LIMSEQ_le)
apply (rule exI)
apply (auto intro!: setsum_mono)
done
lemma summable_le2:
fixes f g :: "nat \<Rightarrow> real"
shows "\<lbrakk>\<forall>n. \<bar>f n\<bar> \<le> g n; summable g\<rbrakk> \<Longrightarrow> summable f \<and> suminf f \<le> suminf g"
apply (subgoal_tac "summable f")
apply (auto intro!: summable_le)
apply (simp add: abs_le_iff)
apply (rule_tac g="g" in summable_comparison_test, simp_all)
done
(* specialisation for the common 0 case *)
lemma suminf_0_le:
fixes f::"nat\<Rightarrow>real"
assumes gt0: "\<forall>n. 0 \<le> f n" and sm: "summable f"
shows "0 \<le> suminf f"
proof -
let ?g = "(\<lambda>n. (0::real))"
from gt0 have "\<forall>n. ?g n \<le> f n" by simp
moreover have "summable ?g" by (rule summable_zero)
moreover from sm have "summable f" .
ultimately have "suminf ?g \<le> suminf f" by (rule summable_le)
then show "0 \<le> suminf f" by (simp add: suminf_zero)
qed
text{*Absolute convergence imples normal convergence*}
lemma summable_norm_cancel:
fixes f :: "nat \<Rightarrow> 'a::banach"
shows "summable (\<lambda>n. norm (f n)) \<Longrightarrow> summable f"
apply (simp only: summable_Cauchy, safe)
apply (drule_tac x="e" in spec, safe)
apply (rule_tac x="N" in exI, safe)
apply (drule_tac x="m" in spec, safe)
apply (rule order_le_less_trans [OF norm_setsum])
apply (rule order_le_less_trans [OF abs_ge_self])
apply simp
done
lemma summable_rabs_cancel:
fixes f :: "nat \<Rightarrow> real"
shows "summable (\<lambda>n. \<bar>f n\<bar>) \<Longrightarrow> summable f"
by (rule summable_norm_cancel, simp)
text{*Absolute convergence of series*}
lemma summable_norm:
fixes f :: "nat \<Rightarrow> 'a::banach"
shows "summable (\<lambda>n. norm (f n)) \<Longrightarrow> norm (suminf f) \<le> (\<Sum>n. norm (f n))"
by (auto intro: LIMSEQ_le LIMSEQ_norm summable_norm_cancel
summable_sumr_LIMSEQ_suminf norm_setsum)
lemma summable_rabs:
fixes f :: "nat \<Rightarrow> real"
shows "summable (\<lambda>n. \<bar>f n\<bar>) \<Longrightarrow> \<bar>suminf f\<bar> \<le> (\<Sum>n. \<bar>f n\<bar>)"
by (fold real_norm_def, rule summable_norm)
subsection{* The Ratio Test*}
lemma norm_ratiotest_lemma:
fixes x y :: "'a::real_normed_vector"
shows "\<lbrakk>c \<le> 0; norm x \<le> c * norm y\<rbrakk> \<Longrightarrow> x = 0"
apply (subgoal_tac "norm x \<le> 0", simp)
apply (erule order_trans)
apply (simp add: mult_le_0_iff)
done
lemma rabs_ratiotest_lemma: "[| c \<le> 0; abs x \<le> c * abs y |] ==> x = (0::real)"
by (erule norm_ratiotest_lemma, simp)
lemma le_Suc_ex: "(k::nat) \<le> l ==> (\<exists>n. l = k + n)"
apply (drule le_imp_less_or_eq)
apply (auto dest: less_imp_Suc_add)
done
lemma le_Suc_ex_iff: "((k::nat) \<le> l) = (\<exists>n. l = k + n)"
by (auto simp add: le_Suc_ex)
(*All this trouble just to get 0<c *)
lemma ratio_test_lemma2:
fixes f :: "nat \<Rightarrow> 'a::banach"
shows "\<lbrakk>\<forall>n\<ge>N. norm (f (Suc n)) \<le> c * norm (f n)\<rbrakk> \<Longrightarrow> 0 < c \<or> summable f"
apply (simp (no_asm) add: linorder_not_le [symmetric])
apply (simp add: summable_Cauchy)
apply (safe, subgoal_tac "\<forall>n. N < n --> f (n) = 0")
prefer 2
apply clarify
apply(erule_tac x = "n - Suc 0" in allE)
apply (simp add:diff_Suc split:nat.splits)
apply (blast intro: norm_ratiotest_lemma)
apply (rule_tac x = "Suc N" in exI, clarify)
apply(simp cong:setsum_ivl_cong)
done
lemma ratio_test:
fixes f :: "nat \<Rightarrow> 'a::banach"
shows "\<lbrakk>c < 1; \<forall>n\<ge>N. norm (f (Suc n)) \<le> c * norm (f n)\<rbrakk> \<Longrightarrow> summable f"
apply (frule ratio_test_lemma2, auto)
apply (rule_tac g = "%n. (norm (f N) / (c ^ N))*c ^ n"
in summable_comparison_test)
apply (rule_tac x = N in exI, safe)
apply (drule le_Suc_ex_iff [THEN iffD1])
apply (auto simp add: power_add field_power_not_zero)
apply (induct_tac "na", auto)
apply (rule_tac y = "c * norm (f (N + n))" in order_trans)
apply (auto intro: mult_right_mono simp add: summable_def)
apply (rule_tac x = "norm (f N) * (1/ (1 - c)) / (c ^ N)" in exI)
apply (rule sums_divide)
apply (rule sums_mult)
apply (auto intro!: geometric_sums)
done
subsection {* Cauchy Product Formula *}
(* Proof based on Analysis WebNotes: Chapter 07, Class 41
http://www.math.unl.edu/~webnotes/classes/class41/prp77.htm *)
lemma setsum_triangle_reindex:
fixes n :: nat
shows "(\<Sum>(i,j)\<in>{(i,j). i+j < n}. f i j) = (\<Sum>k=0..<n. \<Sum>i=0..k. f i (k - i))"
proof -
have "(\<Sum>(i, j)\<in>{(i, j). i + j < n}. f i j) =
(\<Sum>(k, i)\<in>(SIGMA k:{0..<n}. {0..k}). f i (k - i))"
proof (rule setsum_reindex_cong)
show "inj_on (\<lambda>(k,i). (i, k - i)) (SIGMA k:{0..<n}. {0..k})"
by (rule inj_on_inverseI [where g="\<lambda>(i,j). (i+j, i)"], auto)
show "{(i,j). i + j < n} = (\<lambda>(k,i). (i, k - i)) ` (SIGMA k:{0..<n}. {0..k})"
by (safe, rule_tac x="(a+b,a)" in image_eqI, auto)
show "\<And>a. (\<lambda>(k, i). f i (k - i)) a = split f ((\<lambda>(k, i). (i, k - i)) a)"
by clarify
qed
thus ?thesis by (simp add: setsum_Sigma)
qed
lemma Cauchy_product_sums:
fixes a b :: "nat \<Rightarrow> 'a::{real_normed_algebra,banach}"
assumes a: "summable (\<lambda>k. norm (a k))"
assumes b: "summable (\<lambda>k. norm (b k))"
shows "(\<lambda>k. \<Sum>i=0..k. a i * b (k - i)) sums ((\<Sum>k. a k) * (\<Sum>k. b k))"
proof -
let ?S1 = "\<lambda>n::nat. {0..<n} \<times> {0..<n}"
let ?S2 = "\<lambda>n::nat. {(i,j). i + j < n}"
have S1_mono: "\<And>m n. m \<le> n \<Longrightarrow> ?S1 m \<subseteq> ?S1 n" by auto
have S2_le_S1: "\<And>n. ?S2 n \<subseteq> ?S1 n" by auto
have S1_le_S2: "\<And>n. ?S1 (n div 2) \<subseteq> ?S2 n" by auto
have finite_S1: "\<And>n. finite (?S1 n)" by simp
with S2_le_S1 have finite_S2: "\<And>n. finite (?S2 n)" by (rule finite_subset)
let ?g = "\<lambda>(i,j). a i * b j"
let ?f = "\<lambda>(i,j). norm (a i) * norm (b j)"
have f_nonneg: "\<And>x. 0 \<le> ?f x"
by (auto simp add: mult_nonneg_nonneg)
hence norm_setsum_f: "\<And>A. norm (setsum ?f A) = setsum ?f A"
unfolding real_norm_def
by (simp only: abs_of_nonneg setsum_nonneg [rule_format])
have "(\<lambda>n. (\<Sum>k=0..<n. a k) * (\<Sum>k=0..<n. b k))
----> (\<Sum>k. a k) * (\<Sum>k. b k)"
by (intro LIMSEQ_mult summable_sumr_LIMSEQ_suminf
summable_norm_cancel [OF a] summable_norm_cancel [OF b])
hence 1: "(\<lambda>n. setsum ?g (?S1 n)) ----> (\<Sum>k. a k) * (\<Sum>k. b k)"
by (simp only: setsum_product setsum_Sigma [rule_format]
finite_atLeastLessThan)
have "(\<lambda>n. (\<Sum>k=0..<n. norm (a k)) * (\<Sum>k=0..<n. norm (b k)))
----> (\<Sum>k. norm (a k)) * (\<Sum>k. norm (b k))"
using a b by (intro LIMSEQ_mult summable_sumr_LIMSEQ_suminf)
hence "(\<lambda>n. setsum ?f (?S1 n)) ----> (\<Sum>k. norm (a k)) * (\<Sum>k. norm (b k))"
by (simp only: setsum_product setsum_Sigma [rule_format]
finite_atLeastLessThan)
hence "convergent (\<lambda>n. setsum ?f (?S1 n))"
by (rule convergentI)
hence Cauchy: "Cauchy (\<lambda>n. setsum ?f (?S1 n))"
by (rule convergent_Cauchy)
have "Zfun (\<lambda>n. setsum ?f (?S1 n - ?S2 n)) sequentially"
proof (rule ZfunI, simp only: eventually_sequentially norm_setsum_f)
fix r :: real
assume r: "0 < r"
from CauchyD [OF Cauchy r] obtain N
where "\<forall>m\<ge>N. \<forall>n\<ge>N. norm (setsum ?f (?S1 m) - setsum ?f (?S1 n)) < r" ..
hence "\<And>m n. \<lbrakk>N \<le> n; n \<le> m\<rbrakk> \<Longrightarrow> norm (setsum ?f (?S1 m - ?S1 n)) < r"
by (simp only: setsum_diff finite_S1 S1_mono)
hence N: "\<And>m n. \<lbrakk>N \<le> n; n \<le> m\<rbrakk> \<Longrightarrow> setsum ?f (?S1 m - ?S1 n) < r"
by (simp only: norm_setsum_f)
show "\<exists>N. \<forall>n\<ge>N. setsum ?f (?S1 n - ?S2 n) < r"
proof (intro exI allI impI)
fix n assume "2 * N \<le> n"
hence n: "N \<le> n div 2" by simp
have "setsum ?f (?S1 n - ?S2 n) \<le> setsum ?f (?S1 n - ?S1 (n div 2))"
by (intro setsum_mono2 finite_Diff finite_S1 f_nonneg
Diff_mono subset_refl S1_le_S2)
also have "\<dots> < r"
using n div_le_dividend by (rule N)
finally show "setsum ?f (?S1 n - ?S2 n) < r" .
qed
qed
hence "Zfun (\<lambda>n. setsum ?g (?S1 n - ?S2 n)) sequentially"
apply (rule Zfun_le [rule_format])
apply (simp only: norm_setsum_f)
apply (rule order_trans [OF norm_setsum setsum_mono])
apply (auto simp add: norm_mult_ineq)
done
hence 2: "(\<lambda>n. setsum ?g (?S1 n) - setsum ?g (?S2 n)) ----> 0"
unfolding tendsto_Zfun_iff diff_0_right
by (simp only: setsum_diff finite_S1 S2_le_S1)
with 1 have "(\<lambda>n. setsum ?g (?S2 n)) ----> (\<Sum>k. a k) * (\<Sum>k. b k)"
by (rule LIMSEQ_diff_approach_zero2)
thus ?thesis by (simp only: sums_def setsum_triangle_reindex)
qed
lemma Cauchy_product:
fixes a b :: "nat \<Rightarrow> 'a::{real_normed_algebra,banach}"
assumes a: "summable (\<lambda>k. norm (a k))"
assumes b: "summable (\<lambda>k. norm (b k))"
shows "(\<Sum>k. a k) * (\<Sum>k. b k) = (\<Sum>k. \<Sum>i=0..k. a i * b (k - i))"
using a b
by (rule Cauchy_product_sums [THEN sums_unique])
end