Theory NthRoot

(*  Title:      HOL/NthRoot.thy
    Author:     Jacques D. Fleuriot, 1998
    Author:     Lawrence C Paulson, 2004
*)

section ‹Nth Roots of Real Numbers›

theory NthRoot
  imports Deriv
begin


subsection ‹Existence of Nth Root›

text ‹Existence follows from the Intermediate Value Theorem›

lemma realpow_pos_nth:
  fixes a :: real
  assumes n: "0 < n"
    and a: "0 < a"
  shows "r>0. r ^ n = a"
proof -
  have "r0. r  (max 1 a)  r ^ n = a"
  proof (rule IVT)
    show "0 ^ n  a"
      using n a by (simp add: power_0_left)
    show "0  max 1 a"
      by simp
    from n have n1: "1  n"
      by simp
    have "a  max 1 a ^ 1"
      by simp
    also have "max 1 a ^ 1  max 1 a ^ n"
      using n1 by (rule power_increasing) simp
    finally show "a  max 1 a ^ n" .
    show "r. 0  r  r  max 1 a  isCont (λx. x ^ n) r"
      by simp
  qed
  then obtain r where r: "0  r  r ^ n = a"
    by fast
  with n a have "r  0"
    by (auto simp add: power_0_left)
  with r have "0 < r  r ^ n = a"
    by simp
  then show ?thesis ..
qed

(* Used by Integration/RealRandVar.thy in AFP *)
lemma realpow_pos_nth2: "(0::real) < a  r>0. r ^ Suc n = a"
  by (blast intro: realpow_pos_nth)

text ‹Uniqueness of nth positive root.›
lemma realpow_pos_nth_unique: "0 < n  0 < a  ∃!r. 0 < r  r ^ n = a" for a :: real
  by (auto intro!: realpow_pos_nth simp: power_eq_iff_eq_base)


subsection ‹Nth Root›

text ‹
  We define roots of negative reals such that root n (- x) = - root n x›.
  This allows us to omit side conditions from many theorems.
›

lemma inj_sgn_power:
  assumes "0 < n"
  shows "inj (λy. sgn y * ¦y¦^n :: real)"
    (is "inj ?f")
proof (rule injI)
  have x: "(0 < a  b < 0)  (a < 0  0 < b)  a  b" for a b :: real
    by auto
  fix x y
  assume "?f x = ?f y"
  with power_eq_iff_eq_base[of n "¦x¦" "¦y¦"] 0 < n show "x = y"
    by (cases rule: linorder_cases[of 0 x, case_product linorder_cases[of 0 y]])
       (simp_all add: x)
qed

lemma sgn_power_injE:
  "sgn a * ¦a¦ ^ n = x  x = sgn b * ¦b¦ ^ n  0 < n  a = b"
  for a b :: real
  using inj_sgn_power[THEN injD, of n a b] by simp

definition root :: "nat  real  real"
  where "root n x = (if n = 0 then 0 else the_inv (λy. sgn y * ¦y¦^n) x)"

lemma root_0 [simp]: "root 0 x = 0"
  by (simp add: root_def)

lemma root_sgn_power: "0 < n  root n (sgn y * ¦y¦^n) = y"
  using the_inv_f_f[OF inj_sgn_power] by (simp add: root_def)

lemma sgn_power_root:
  assumes "0 < n"
  shows "sgn (root n x) * ¦(root n x)¦^n = x"
    (is "?f (root n x) = x")
proof (cases "x = 0")
  case True
  with assms root_sgn_power[of n 0] show ?thesis
    by simp
next
  case False
  with realpow_pos_nth[OF 0 < n, of "¦x¦"]
  obtain r where "0 < r" "r ^ n = ¦x¦"
    by auto
  with x  0 have S: "x  range ?f"
    by (intro image_eqI[of _ _ "sgn x * r"])
       (auto simp: abs_mult sgn_mult power_mult_distrib abs_sgn_eq mult_sgn_abs)
  from 0 < n f_the_inv_into_f[OF inj_sgn_power[OF 0 < n] this]  show ?thesis
    by (simp add: root_def)
qed

lemma split_root: "P (root n x)  (n = 0  P 0)  (0 < n  (y. sgn y * ¦y¦^n = x  P y))"
proof (cases "n = 0")
  case True
  then show ?thesis by simp
next
  case False
  then show ?thesis
    by simp (metis root_sgn_power sgn_power_root)
qed

lemma real_root_zero [simp]: "root n 0 = 0"
  by (simp split: split_root add: sgn_zero_iff)

lemma real_root_minus: "root n (- x) = - root n x"
  by (clarsimp split: split_root elim!: sgn_power_injE simp: sgn_minus)

lemma real_root_less_mono: "0 < n  x < y  root n x < root n y"
proof (clarsimp split: split_root)
  have *: "0 < b  a < 0  ¬ a > b" for a b :: real
    by auto
  fix a b :: real
  assume "0 < n" "sgn a * ¦a¦ ^ n < sgn b * ¦b¦ ^ n"
  then show "a < b"
    using power_less_imp_less_base[of a n b]
      power_less_imp_less_base[of "- b" n "- a"]
    by (simp add: sgn_real_def * [of "a ^ n" "- ((- b) ^ n)"]
        split: if_split_asm)
qed

lemma real_root_gt_zero: "0 < n  0 < x  0 < root n x"
  using real_root_less_mono[of n 0 x] by simp

lemma real_root_ge_zero: "0  x  0  root n x"
  using real_root_gt_zero[of n x]
  by (cases "n = 0") (auto simp add: le_less)

lemma real_root_pow_pos: "0 < n  0 < x  root n x ^ n = x"  (* TODO: rename *)
  using sgn_power_root[of n x] real_root_gt_zero[of n x] by simp

lemma real_root_pow_pos2 [simp]: "0 < n  0  x  root n x ^ n = x"  (* TODO: rename *)
  by (auto simp add: order_le_less real_root_pow_pos)

lemma sgn_root: "0 < n  sgn (root n x) = sgn x"
  by (auto split: split_root simp: sgn_real_def)

lemma odd_real_root_pow: "odd n  root n x ^ n = x"
  using sgn_power_root[of n x]
  by (simp add: odd_pos sgn_real_def split: if_split_asm)

lemma real_root_power_cancel: "0 < n  0  x  root n (x ^ n) = x"
  using root_sgn_power[of n x] by (auto simp add: le_less power_0_left)

lemma odd_real_root_power_cancel: "odd n  root n (x ^ n) = x"
  using root_sgn_power[of n x]
  by (simp add: odd_pos sgn_real_def power_0_left split: if_split_asm)

lemma real_root_pos_unique: "0 < n  0  y  y ^ n = x  root n x = y"
  using root_sgn_power[of n y] by (auto simp add: le_less power_0_left)

lemma odd_real_root_unique: "odd n  y ^ n = x  root n x = y"
  by (erule subst, rule odd_real_root_power_cancel)

lemma real_root_one [simp]: "0 < n  root n 1 = 1"
  by (simp add: real_root_pos_unique)

text ‹Root function is strictly monotonic, hence injective.›

lemma real_root_le_mono: "0 < n  x  y  root n x  root n y"
  by (auto simp add: order_le_less real_root_less_mono)

lemma real_root_less_iff [simp]: "0 < n  root n x < root n y  x < y"
  by (cases "x < y") (simp_all add: real_root_less_mono linorder_not_less real_root_le_mono)

lemma real_root_le_iff [simp]: "0 < n  root n x  root n y  x  y"
  by (cases "x  y") (simp_all add: real_root_le_mono linorder_not_le real_root_less_mono)

lemma real_root_eq_iff [simp]: "0 < n  root n x = root n y  x = y"
  by (simp add: order_eq_iff)

lemmas real_root_gt_0_iff [simp] = real_root_less_iff [where x=0, simplified]
lemmas real_root_lt_0_iff [simp] = real_root_less_iff [where y=0, simplified]
lemmas real_root_ge_0_iff [simp] = real_root_le_iff [where x=0, simplified]
lemmas real_root_le_0_iff [simp] = real_root_le_iff [where y=0, simplified]
lemmas real_root_eq_0_iff [simp] = real_root_eq_iff [where y=0, simplified]

lemma real_root_gt_1_iff [simp]: "0 < n  1 < root n y  1 < y"
  using real_root_less_iff [where x=1] by simp

lemma real_root_lt_1_iff [simp]: "0 < n  root n x < 1  x < 1"
  using real_root_less_iff [where y=1] by simp

lemma real_root_ge_1_iff [simp]: "0 < n  1  root n y  1  y"
  using real_root_le_iff [where x=1] by simp

lemma real_root_le_1_iff [simp]: "0 < n  root n x  1  x  1"
  using real_root_le_iff [where y=1] by simp

lemma real_root_eq_1_iff [simp]: "0 < n  root n x = 1  x = 1"
  using real_root_eq_iff [where y=1] by simp


text ‹Roots of multiplication and division.›

lemma real_root_mult: "root n (x * y) = root n x * root n y"
  by (auto split: split_root elim!: sgn_power_injE
      simp: sgn_mult abs_mult power_mult_distrib)

lemma real_root_inverse: "root n (inverse x) = inverse (root n x)"
  by (auto split: split_root elim!: sgn_power_injE
      simp: power_inverse)

lemma real_root_divide: "root n (x / y) = root n x / root n y"
  by (simp add: divide_inverse real_root_mult real_root_inverse)

lemma real_root_abs: "0 < n  root n ¦x¦ = ¦root n x¦"
  by (simp add: abs_if real_root_minus)

lemma root_abs_power: "n > 0  abs (root n (y ^n)) = abs y"
  using root_sgn_power [of n]
  by (metis abs_ge_zero power_abs real_root_abs real_root_power_cancel)

lemma real_root_power: "0 < n  root n (x ^ k) = root n x ^ k"
  by (induct k) (simp_all add: real_root_mult)


text ‹Roots of roots.›

lemma real_root_Suc_0 [simp]: "root (Suc 0) x = x"
  by (simp add: odd_real_root_unique)

lemma real_root_mult_exp: "root (m * n) x = root m (root n x)"
  by (auto split: split_root elim!: sgn_power_injE
      simp: sgn_zero_iff sgn_mult power_mult[symmetric]
      abs_mult power_mult_distrib abs_sgn_eq)

lemma real_root_commute: "root m (root n x) = root n (root m x)"
  by (simp add: real_root_mult_exp [symmetric] mult.commute)


text ‹Monotonicity in first argument.›

lemma real_root_strict_decreasing:
  assumes "0 < n" "n < N" "1 < x"
  shows "root N x < root n x"
proof -
  from assms have "root n (root N x) ^ n < root N (root n x) ^ N"
    by (simp add: real_root_commute power_strict_increasing del: real_root_pow_pos2)
  with assms show ?thesis by simp
qed

lemma real_root_strict_increasing:
  assumes "0 < n" "n < N" "0 < x" "x < 1"
  shows "root n x < root N x"
proof -
  from assms have "root N (root n x) ^ N < root n (root N x) ^ n"
    by (simp add: real_root_commute power_strict_decreasing del: real_root_pow_pos2)
  with assms show ?thesis by simp
qed

lemma real_root_decreasing: "0 < n  n  N  1  x  root N x  root n x"
  by (auto simp add: order_le_less real_root_strict_decreasing)

lemma real_root_increasing: "0 < n  n  N  0  x  x  1  root n x  root N x"
  by (auto simp add: order_le_less real_root_strict_increasing)


text ‹Continuity and derivatives.›

lemma isCont_real_root: "isCont (root n) x"
proof (cases "n > 0")
  case True
  let ?f = "λy::real. sgn y * ¦y¦^n"
  have "continuous_on ({0..}  {.. 0}) (λx. if 0 < x then x ^ n else - ((-x) ^ n) :: real)"
    using True by (intro continuous_on_If continuous_intros) auto
  then have "continuous_on UNIV ?f"
    by (rule continuous_on_cong[THEN iffD1, rotated 2]) (auto simp: not_less le_less True)
  then have [simp]: "isCont ?f x" for x
    by (simp add: continuous_on_eq_continuous_at)
  have "isCont (root n) (?f (root n x))"
    by (rule isCont_inverse_function [where f="?f" and d=1]) (auto simp: root_sgn_power True)
  then show ?thesis
    by (simp add: sgn_power_root True)
next
  case False
  then show ?thesis
    by (simp add: root_def[abs_def])
qed

lemma tendsto_real_root [tendsto_intros]:
  "(f  x) F  ((λx. root n (f x))  root n x) F"
  using isCont_tendsto_compose[OF isCont_real_root, of f x F] .

lemma continuous_real_root [continuous_intros]:
  "continuous F f  continuous F (λx. root n (f x))"
  unfolding continuous_def by (rule tendsto_real_root)

lemma continuous_on_real_root [continuous_intros]:
  "continuous_on s f  continuous_on s (λx. root n (f x))"
  unfolding continuous_on_def by (auto intro: tendsto_real_root)

lemma DERIV_real_root:
  assumes n: "0 < n"
    and x: "0 < x"
  shows "DERIV (root n) x :> inverse (real n * root n x ^ (n - Suc 0))"
proof (rule DERIV_inverse_function)
  show "0 < x"
    using x .
  show "x < x + 1"
    by simp
  show "DERIV (λx. x ^ n) (root n x) :> real n * root n x ^ (n - Suc 0)"
    by (rule DERIV_pow)
  show "real n * root n x ^ (n - Suc 0)  0"
    using n x by simp
  show "isCont (root n) x"
    by (rule isCont_real_root)
qed (use n in auto)

lemma DERIV_odd_real_root:
  assumes n: "odd n"
    and x: "x  0"
  shows "DERIV (root n) x :> inverse (real n * root n x ^ (n - Suc 0))"
proof (rule DERIV_inverse_function)
  show "x - 1 < x" "x < x + 1"
    by auto
  show "DERIV (λx. x ^ n) (root n x) :> real n * root n x ^ (n - Suc 0)"
    by (rule DERIV_pow)
  show "real n * root n x ^ (n - Suc 0)  0"
    using odd_pos [OF n] x by simp
  show "isCont (root n) x"
    by (rule isCont_real_root)
qed (use n odd_real_root_pow in auto)

lemma DERIV_even_real_root:
  assumes n: "0 < n"
    and "even n"
    and x: "x < 0"
  shows "DERIV (root n) x :> inverse (- real n * root n x ^ (n - Suc 0))"
proof (rule DERIV_inverse_function)
  show "x - 1 < x"
    by simp
  show "x < 0"
    using x .
  show "- (root n y ^ n) = y" if "x - 1 < y" and "y < 0" for y
  proof -
    have "root n (-y) ^ n = -y" 
      using that 0 < n by simp
    with real_root_minus and even n
    show "- (root n y ^ n) = y" by simp
  qed
  show "DERIV (λx. - (x ^ n)) (root n x) :> - real n * root n x ^ (n - Suc 0)"
    by  (auto intro!: derivative_eq_intros)
  show "- real n * root n x ^ (n - Suc 0)  0"
    using n x by simp
  show "isCont (root n) x"
    by (rule isCont_real_root)
qed

lemma DERIV_real_root_generic:
  assumes "0 < n"
    and "x  0"
    and "even n  0 < x  D = inverse (real n * root n x ^ (n - Suc 0))"
    and "even n  x < 0  D = - inverse (real n * root n x ^ (n - Suc 0))"
    and "odd n  D = inverse (real n * root n x ^ (n - Suc 0))"
  shows "DERIV (root n) x :> D"
  using assms
  by (cases "even n", cases "0 < x")
    (auto intro: DERIV_real_root[THEN DERIV_cong]
      DERIV_odd_real_root[THEN DERIV_cong]
      DERIV_even_real_root[THEN DERIV_cong])

lemma power_tendsto_0_iff [simp]:
  fixes f :: "'a  real"
  assumes "n > 0"
  shows "((λx. f x ^ n)  0) F  (f  0) F"
proof -
  have "((λx. ¦root n (f x ^ n)¦)  0) F  (f  0) F"
    by (auto simp: assms root_abs_power tendsto_rabs_zero_iff)
  then have "((λx. f x ^ n)  0) F  (f  0) F"
    by (metis tendsto_real_root abs_0 real_root_zero tendsto_rabs)
  with assms show ?thesis
    by (auto simp: tendsto_null_power)
qed

subsection ‹Square Root›

definition sqrt :: "real  real"
  where "sqrt = root 2"

lemma pos2: "0 < (2::nat)"
  by simp

lemma real_sqrt_unique: "y2 = x  0  y  sqrt x = y"
  unfolding sqrt_def by (rule real_root_pos_unique [OF pos2])

lemma real_sqrt_abs [simp]: "sqrt (x2) = ¦x¦"
  by (metis power2_abs abs_ge_zero real_sqrt_unique)

lemma real_sqrt_pow2 [simp]: "0  x  (sqrt x)2 = x"
  unfolding sqrt_def by (rule real_root_pow_pos2 [OF pos2])

lemma real_sqrt_pow2_iff [simp]: "(sqrt x)2 = x  0  x"
  by (metis real_sqrt_pow2 zero_le_power2)

lemma real_sqrt_zero [simp]: "sqrt 0 = 0"
  unfolding sqrt_def by (rule real_root_zero)

lemma real_sqrt_one [simp]: "sqrt 1 = 1"
  unfolding sqrt_def by (rule real_root_one [OF pos2])

lemma real_sqrt_four [simp]: "sqrt 4 = 2"
  using real_sqrt_abs[of 2] by simp

lemma real_sqrt_minus: "sqrt (- x) = - sqrt x"
  unfolding sqrt_def by (rule real_root_minus)

lemma real_sqrt_mult: "sqrt (x * y) = sqrt x * sqrt y"
  unfolding sqrt_def by (rule real_root_mult)

lemma real_sqrt_mult_self[simp]: "sqrt a * sqrt a = ¦a¦"
  using real_sqrt_abs[of a] unfolding power2_eq_square real_sqrt_mult .

lemma real_sqrt_inverse: "sqrt (inverse x) = inverse (sqrt x)"
  unfolding sqrt_def by (rule real_root_inverse)

lemma real_sqrt_divide: "sqrt (x / y) = sqrt x / sqrt y"
  unfolding sqrt_def by (rule real_root_divide)

lemma real_sqrt_power: "sqrt (x ^ k) = sqrt x ^ k"
  unfolding sqrt_def by (rule real_root_power [OF pos2])

lemma real_sqrt_gt_zero: "0 < x  0 < sqrt x"
  unfolding sqrt_def by (rule real_root_gt_zero [OF pos2])

lemma real_sqrt_ge_zero: "0  x  0  sqrt x"
  unfolding sqrt_def by (rule real_root_ge_zero)

lemma real_sqrt_less_mono: "x < y  sqrt x < sqrt y"
  unfolding sqrt_def by (rule real_root_less_mono [OF pos2])

lemma real_sqrt_le_mono: "x  y  sqrt x  sqrt y"
  unfolding sqrt_def by (rule real_root_le_mono [OF pos2])

lemma real_sqrt_less_iff [simp]: "sqrt x < sqrt y  x < y"
  unfolding sqrt_def by (rule real_root_less_iff [OF pos2])

lemma real_sqrt_le_iff [simp]: "sqrt x  sqrt y  x  y"
  unfolding sqrt_def by (rule real_root_le_iff [OF pos2])

lemma real_sqrt_eq_iff [simp]: "sqrt x = sqrt y  x = y"
  unfolding sqrt_def by (rule real_root_eq_iff [OF pos2])

lemma real_less_lsqrt: "0  y  x < y2  sqrt x < y"
  using real_sqrt_less_iff[of x "y2"] by simp

lemma real_le_lsqrt: "0  y  x  y2  sqrt x  y"
  using real_sqrt_le_iff[of x "y2"] by simp

lemma real_le_rsqrt: "x2  y  x  sqrt y"
  using real_sqrt_le_mono[of "x2" y] by simp

lemma real_less_rsqrt: "x2 < y  x < sqrt y"
  using real_sqrt_less_mono[of "x2" y] by simp

lemma real_sqrt_power_even:
  assumes "even n" "x  0"
  shows   "sqrt x ^ n = x ^ (n div 2)"
proof -
  from assms obtain k where "n = 2*k" by (auto elim!: evenE)
  with assms show ?thesis by (simp add: power_mult)
qed

lemma sqrt_le_D: "sqrt x  y  x  y2"
  by (meson not_le real_less_rsqrt)

lemma sqrt_ge_absD: "¦x¦  sqrt y  x2  y"
  using real_sqrt_le_iff[of "x2"] by simp

lemma sqrt_even_pow2:
  assumes n: "even n"
  shows "sqrt (2 ^ n) = 2 ^ (n div 2)"
proof -
  from n obtain m where m: "n = 2 * m" ..
  from m have "sqrt (2 ^ n) = sqrt ((2 ^ m)2)"
    by (simp only: power_mult[symmetric] mult.commute)
  then show ?thesis
    using m by simp
qed

lemmas real_sqrt_gt_0_iff [simp] = real_sqrt_less_iff [where x=0, unfolded real_sqrt_zero]
lemmas real_sqrt_lt_0_iff [simp] = real_sqrt_less_iff [where y=0, unfolded real_sqrt_zero]
lemmas real_sqrt_ge_0_iff [simp] = real_sqrt_le_iff [where x=0, unfolded real_sqrt_zero]
lemmas real_sqrt_le_0_iff [simp] = real_sqrt_le_iff [where y=0, unfolded real_sqrt_zero]
lemmas real_sqrt_eq_0_iff [simp] = real_sqrt_eq_iff [where y=0, unfolded real_sqrt_zero]

lemmas real_sqrt_gt_1_iff [simp] = real_sqrt_less_iff [where x=1, unfolded real_sqrt_one]
lemmas real_sqrt_lt_1_iff [simp] = real_sqrt_less_iff [where y=1, unfolded real_sqrt_one]
lemmas real_sqrt_ge_1_iff [simp] = real_sqrt_le_iff [where x=1, unfolded real_sqrt_one]
lemmas real_sqrt_le_1_iff [simp] = real_sqrt_le_iff [where y=1, unfolded real_sqrt_one]
lemmas real_sqrt_eq_1_iff [simp] = real_sqrt_eq_iff [where y=1, unfolded real_sqrt_one]

lemma sqrt_add_le_add_sqrt:
  assumes "0  x" "0  y"
  shows "sqrt (x + y)  sqrt x + sqrt y"
  by (rule power2_le_imp_le) (simp_all add: power2_sum assms)

lemma isCont_real_sqrt: "isCont sqrt x"
  unfolding sqrt_def by (rule isCont_real_root)

lemma tendsto_real_sqrt [tendsto_intros]:
  "(f  x) F  ((λx. sqrt (f x))  sqrt x) F"
  unfolding sqrt_def by (rule tendsto_real_root)

lemma continuous_real_sqrt [continuous_intros]:
  "continuous F f  continuous F (λx. sqrt (f x))"
  unfolding sqrt_def by (rule continuous_real_root)

lemma continuous_on_real_sqrt [continuous_intros]:
  "continuous_on s f  continuous_on s (λx. sqrt (f x))"
  unfolding sqrt_def by (rule continuous_on_real_root)

lemma DERIV_real_sqrt_generic:
  assumes "x  0"
    and "x > 0  D = inverse (sqrt x) / 2"
    and "x < 0  D = - inverse (sqrt x) / 2"
  shows "DERIV sqrt x :> D"
  using assms unfolding sqrt_def
  by (auto intro!: DERIV_real_root_generic)

lemma DERIV_real_sqrt: "0 < x  DERIV sqrt x :> inverse (sqrt x) / 2"
  using DERIV_real_sqrt_generic by simp

declare
  DERIV_real_sqrt_generic[THEN DERIV_chain2, derivative_intros]
  DERIV_real_root_generic[THEN DERIV_chain2, derivative_intros]

lemmas has_derivative_real_sqrt[derivative_intros] = DERIV_real_sqrt[THEN DERIV_compose_FDERIV]

lemma not_real_square_gt_zero [simp]: "¬ 0 < x * x  x = 0"
  for x :: real
  apply auto
  using linorder_less_linear [where x = x and y = 0]
  apply (simp add: zero_less_mult_iff)
  done

lemma real_sqrt_abs2 [simp]: "sqrt (x * x) = ¦x¦"
  apply (subst power2_eq_square [symmetric])
  apply (rule real_sqrt_abs)
  done

lemma real_inv_sqrt_pow2: "0 < x  (inverse (sqrt x))2 = inverse x"
  by (simp add: power_inverse)

lemma real_sqrt_eq_zero_cancel: "0  x  sqrt x = 0  x = 0"
  by simp

lemma real_sqrt_ge_one: "1  x  1  sqrt x"
  by simp

lemma sqrt_divide_self_eq:
  assumes nneg: "0  x"
  shows "sqrt x / x = inverse (sqrt x)"
proof (cases "x = 0")
  case True
  then show ?thesis by simp
next
  case False
  then have pos: "0 < x"
    using nneg by arith
  show ?thesis
  proof (rule right_inverse_eq [THEN iffD1, symmetric])
    show "sqrt x / x  0"
      by (simp add: divide_inverse nneg False)
    show "inverse (sqrt x) / (sqrt x / x) = 1"
      by (simp add: divide_inverse mult.assoc [symmetric]
          power2_eq_square [symmetric] real_inv_sqrt_pow2 pos False)
  qed
qed

lemma real_div_sqrt: "0  x  x / sqrt x = sqrt x"
  by (cases "x = 0") (simp_all add: sqrt_divide_self_eq [of x] field_simps)

lemma real_divide_square_eq [simp]: "(r * a) / (r * r) = a / r"
  for a r :: real
  by (cases "r = 0") (simp_all add: divide_inverse ac_simps)

lemma lemma_real_divide_sqrt_less: "0 < u  u / sqrt 2 < u"
  by (simp add: divide_less_eq)

lemma four_x_squared: "4 * x2 = (2 * x)2"
  for x :: real
  by (simp add: power2_eq_square)

lemma sqrt_at_top: "LIM x at_top. sqrt x :: real :> at_top"
  by (rule filterlim_at_top_at_top[where Q="λx. True" and P="λx. 0 < x" and g="power2"])
     (auto intro: eventually_gt_at_top)


subsection ‹Square Root of Sum of Squares›

lemma sum_squares_bound: "2 * x * y  x2 + y2"
  for x y :: "'a::linordered_field"
proof -
  have "(x - y)2 = x * x - 2 * x * y + y * y"
    by algebra
  then have "0  x2 - 2 * x * y + y2"
    by (metis sum_power2_ge_zero zero_le_double_add_iff_zero_le_single_add power2_eq_square)
  then show ?thesis
    by arith
qed

lemma arith_geo_mean:
  fixes u :: "'a::linordered_field"
  assumes "u2 = x * y" "x  0" "y  0"
  shows "u  (x + y)/2"
  apply (rule power2_le_imp_le)
  using sum_squares_bound assms
  apply (auto simp: zero_le_mult_iff)
  apply (auto simp: algebra_simps power2_eq_square)
  done

lemma arith_geo_mean_sqrt:
  fixes x :: real
  assumes "x  0" "y  0"
  shows "sqrt (x * y)  (x + y)/2"
  apply (rule arith_geo_mean)
  using assms
  apply (auto simp: zero_le_mult_iff)
  done

lemma real_sqrt_sum_squares_mult_ge_zero [simp]: "0  sqrt ((x2 + y2) * (xa2 + ya2))"
  by (metis real_sqrt_ge_0_iff split_mult_pos_le sum_power2_ge_zero)

lemma real_sqrt_sum_squares_mult_squared_eq [simp]:
  "(sqrt ((x2 + y2) * (xa2 + ya2)))2 = (x2 + y2) * (xa2 + ya2)"
  by (simp add: zero_le_mult_iff)

lemma real_sqrt_sum_squares_eq_cancel: "sqrt (x2 + y2) = x  y = 0"
  by (drule arg_cong [where f = "λx. x2"]) simp

lemma real_sqrt_sum_squares_eq_cancel2: "sqrt (x2 + y2) = y  x = 0"
  by (drule arg_cong [where f = "λx. x2"]) simp

lemma real_sqrt_sum_squares_ge1 [simp]: "x  sqrt (x2 + y2)"
  by (rule power2_le_imp_le) simp_all

lemma real_sqrt_sum_squares_ge2 [simp]: "y  sqrt (x2 + y2)"
  by (rule power2_le_imp_le) simp_all

lemma real_sqrt_ge_abs1 [simp]: "¦x¦  sqrt (x2 + y2)"
  by (rule power2_le_imp_le) simp_all

lemma real_sqrt_ge_abs2 [simp]: "¦y¦  sqrt (x2 + y2)"
  by (rule power2_le_imp_le) simp_all

lemma le_real_sqrt_sumsq [simp]: "x  sqrt (x * x + y * y)"
  by (simp add: power2_eq_square [symmetric])

lemma sqrt_sum_squares_le_sum:
  "0  x; 0  y  sqrt (x2 + y2)  x + y"
  by (rule power2_le_imp_le) (simp_all add: power2_sum)

lemma L2_set_mult_ineq_lemma:
  fixes a b c d :: real
  shows "2 * (a * c) * (b * d)  a2 * d2 + b2 * c2"
proof -
  have "0  (a * d - b * c)2" by simp
  also have " = a2 * d2 + b2 * c2 - 2 * (a * d) * (b * c)"
    by (simp only: power2_diff power_mult_distrib)
  also have " = a2 * d2 + b2 * c2 - 2 * (a * c) * (b * d)"
    by simp
  finally show "2 * (a * c) * (b * d)  a2 * d2 + b2 * c2"
    by simp
qed

lemma sqrt_sum_squares_le_sum_abs: "sqrt (x2 + y2)  ¦x¦ + ¦y¦"
  by (rule power2_le_imp_le) (simp_all add: power2_sum)

lemma real_sqrt_sum_squares_triangle_ineq:
  "sqrt ((a + c)2 + (b + d)2)  sqrt (a2 + b2) + sqrt (c2 + d2)"
proof -
  have "(a * c + b * d)  (sqrt (a2 + b2) * sqrt (c2 + d2))"
    by (rule power2_le_imp_le) (simp_all add: power2_sum power_mult_distrib ring_distribs L2_set_mult_ineq_lemma add.commute)
  then have "(a + c)2 + (b + d)2  (sqrt (a2 + b2) + sqrt (c2 + d2))2"
    by (simp add: power2_sum)
  then show ?thesis
    by (auto intro: power2_le_imp_le)
qed

lemma real_sqrt_sum_squares_less: "¦x¦ < u / sqrt 2  ¦y¦ < u / sqrt 2  sqrt (x2 + y2) < u"
  apply (rule power2_less_imp_less)
   apply simp
   apply (drule power_strict_mono [OF _ abs_ge_zero pos2])
   apply (drule power_strict_mono [OF _ abs_ge_zero pos2])
   apply (simp add: power_divide)
  apply (drule order_le_less_trans [OF abs_ge_zero])
  apply (simp add: zero_less_divide_iff)
  done

lemma sqrt2_less_2: "sqrt 2 < (2::real)"
  by (metis not_less not_less_iff_gr_or_eq numeral_less_iff real_sqrt_four
      real_sqrt_le_iff semiring_norm(75) semiring_norm(78) semiring_norm(85))

lemma sqrt_sum_squares_half_less:
  "x < u/2  y < u/2  0  x  0  y  sqrt (x2 + y2) < u"
  apply (rule real_sqrt_sum_squares_less)
   apply (auto simp add: abs_if field_simps)
   apply (rule le_less_trans [where y = "x*2"])
  using less_eq_real_def sqrt2_less_2 apply force
   apply assumption
  apply (rule le_less_trans [where y = "y*2"])
  using less_eq_real_def sqrt2_less_2 mult_le_cancel_left
   apply auto
  done

lemma LIMSEQ_root: "(λn. root n n)  1"
proof -
  define x where "x n = root n n - 1" for n
  have "x  sqrt 0"
  proof (rule tendsto_sandwich[OF _ _ tendsto_const])
    show "(λx. sqrt (2 / x))  sqrt 0"
      by (intro tendsto_intros tendsto_divide_0[OF tendsto_const] filterlim_mono[OF filterlim_real_sequentially])
         (simp_all add: at_infinity_eq_at_top_bot)
    have "x n  sqrt (2 / real n)" if "2 < n" for n :: nat
    proof -
      have "1 + (real (n - 1) * n) / 2 * (x n)2 = 1 + of_nat (n choose 2) * (x n)2"
        by (auto simp add: choose_two field_char_0_class.of_nat_div mod_eq_0_iff_dvd)
      also have "  (k{0, 2}. of_nat (n choose k) * x n^k)"
        by (simp add: x_def)
      also have "  (kn. of_nat (n choose k) * x n^k)"
        using 2 < n
        by (intro sum_mono2) (auto intro!: mult_nonneg_nonneg zero_le_power simp: x_def le_diff_eq)
      also have " = (x n + 1) ^ n"
        by (simp add: binomial_ring)
      also have " = n"
        using 2 < n by (simp add: x_def)
      finally have "real (n - 1) * (real n / 2 * (x n)2)  real (n - 1) * 1"
        by simp
      then have "(x n)2  2 / real n"
        using 2 < n unfolding mult_le_cancel_left by (simp add: field_simps)
      from real_sqrt_le_mono[OF this] show ?thesis
        by simp
    qed
    then show "eventually (λn. x n  sqrt (2 / real n)) sequentially"
      by (auto intro!: exI[of _ 3] simp: eventually_sequentially)
    show "eventually (λn. sqrt 0  x n) sequentially"
      by (auto intro!: exI[of _ 1] simp: eventually_sequentially le_diff_eq x_def)
  qed
  from tendsto_add[OF this tendsto_const[of 1]] show ?thesis
    by (simp add: x_def)
qed

lemma LIMSEQ_root_const:
  assumes "0 < c"
  shows "(λn. root n c)  1"
proof -
  have ge_1: "(λn. root n c)  1" if "1  c" for c :: real
  proof -
    define x where "x n = root n c - 1" for n
    have "x  0"
    proof (rule tendsto_sandwich[OF _ _ tendsto_const])
      show "(λn. c / n)  0"
        by (intro tendsto_divide_0[OF tendsto_const] filterlim_mono[OF filterlim_real_sequentially])
          (simp_all add: at_infinity_eq_at_top_bot)
      have "x n  c / n" if "1 < n" for n :: nat
      proof -
        have "1 + x n * n = 1 + of_nat (n choose 1) * x n^1"
          by (simp add: choose_one)
        also have "  (k{0, 1}. of_nat (n choose k) * x n^k)"
          by (simp add: x_def)
        also have "  (kn. of_nat (n choose k) * x n^k)"
          using 1 < n 1  c
          by (intro sum_mono2)
            (auto intro!: mult_nonneg_nonneg zero_le_power simp: x_def le_diff_eq)
        also have " = (x n + 1) ^ n"
          by (simp add: binomial_ring)
        also have " = c"
          using 1 < n 1  c by (simp add: x_def)
        finally show ?thesis
          using 1  c 1 < n by (simp add: field_simps)
      qed
      then show "eventually (λn. x n  c / n) sequentially"
        by (auto intro!: exI[of _ 3] simp: eventually_sequentially)
      show "eventually (λn. 0  x n) sequentially"
        using 1  c
        by (auto intro!: exI[of _ 1] simp: eventually_sequentially le_diff_eq x_def)
    qed
    from tendsto_add[OF this tendsto_const[of 1]] show ?thesis
      by (simp add: x_def)
  qed
  show ?thesis
  proof (cases "1  c")
    case True
    with ge_1 show ?thesis by blast
  next
    case False
    with 0 < c have "1  1 / c"
      by simp
    then have "(λn. 1 / root n (1 / c))  1 / 1"
      by (intro tendsto_divide tendsto_const ge_1 1  1 / c one_neq_zero)
    then show ?thesis
      by (rule filterlim_cong[THEN iffD1, rotated 3])
        (auto intro!: exI[of _ 1] simp: eventually_sequentially real_root_divide)
  qed
qed


text "Legacy theorem names:"
lemmas real_root_pos2 = real_root_power_cancel
lemmas real_root_pos_pos = real_root_gt_zero [THEN order_less_imp_le]
lemmas real_root_pos_pos_le = real_root_ge_zero
lemmas real_sqrt_eq_zero_cancel_iff = real_sqrt_eq_0_iff

end