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import Mathlib.Data.Complex.Basic import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.circle_transform from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15" open Set MeasureTheory Metric Filter Function open scoped Interval Real noncomputable section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] (R : ℝ) (z w : ℂ) namespace Complex def circleTransform (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • (circleMap z R θ - w)⁻¹ • f (circleMap z R θ) #align complex.circle_transform Complex.circleTransform def circleTransformDeriv (f : ℂ → E) (θ : ℝ) : E := (2 * ↑π * I)⁻¹ • deriv (circleMap z R) θ • ((circleMap z R θ - w) ^ 2)⁻¹ • f (circleMap z R θ) #align complex.circle_transform_deriv Complex.circleTransformDeriv theorem circleTransformDeriv_periodic (f : ℂ → E) : Periodic (circleTransformDeriv R z w f) (2 * π) := by have := periodic_circleMap simp_rw [Periodic] at * intro x simp_rw [circleTransformDeriv, this] congr 2 simp [this] #align complex.circle_transform_deriv_periodic Complex.circleTransformDeriv_periodic theorem circleTransformDeriv_eq (f : ℂ → E) : circleTransformDeriv R z w f = fun θ => (circleMap z R θ - w)⁻¹ • circleTransform R z w f θ := by ext simp_rw [circleTransformDeriv, circleTransform, ← mul_smul, ← mul_assoc] ring_nf rw [inv_pow] congr ring #align complex.circle_transform_deriv_eq Complex.circleTransformDeriv_eq theorem integral_circleTransform (f : ℂ → E) : (∫ θ : ℝ in (0)..2 * π, circleTransform R z w f θ) = (2 * ↑π * I)⁻¹ • ∮ z in C(z, R), (z - w)⁻¹ • f z := by simp_rw [circleTransform, circleIntegral, deriv_circleMap, circleMap] simp #align complex.integral_circle_transform Complex.integral_circleTransform theorem continuous_circleTransform {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f <| sphere z R) (hw : w ∈ ball z R) : Continuous (circleTransform R z w f) := by apply_rules [Continuous.smul, continuous_const] · simp_rw [deriv_circleMap] apply_rules [Continuous.mul, continuous_circleMap 0 R, continuous_const] · exact continuous_circleMap_inv hw · apply ContinuousOn.comp_continuous hf (continuous_circleMap z R) exact fun _ => (circleMap_mem_sphere _ hR.le) _ #align complex.continuous_circle_transform Complex.continuous_circleTransform theorem continuous_circleTransformDeriv {R : ℝ} (hR : 0 < R) {f : ℂ → E} {z w : ℂ} (hf : ContinuousOn f (sphere z R)) (hw : w ∈ ball z R) : Continuous (circleTransformDeriv R z w f) := by rw [circleTransformDeriv_eq] exact (continuous_circleMap_inv hw).smul (continuous_circleTransform hR hf hw) #align complex.continuous_circle_transform_deriv Complex.continuous_circleTransformDeriv def circleTransformBoundingFunction (R : ℝ) (z : ℂ) (w : ℂ × ℝ) : ℂ := circleTransformDeriv R z w.1 (fun _ => 1) w.2 #align complex.circle_transform_bounding_function Complex.circleTransformBoundingFunction theorem continuousOn_prod_circle_transform_function {R r : ℝ} (hr : r < R) {z : ℂ} : ContinuousOn (fun w : ℂ × ℝ => (circleMap z R w.snd - w.fst)⁻¹ ^ 2) (closedBall z r ×ˢ univ) := by simp_rw [← one_div] apply_rules [ContinuousOn.pow, ContinuousOn.div, continuousOn_const] · exact ((continuous_circleMap z R).comp_continuousOn continuousOn_snd).sub continuousOn_fst · rintro ⟨a, b⟩ ⟨ha, -⟩ have ha2 : a ∈ ball z R := closedBall_subset_ball hr ha exact sub_ne_zero.2 (circleMap_ne_mem_ball ha2 b) #align complex.continuous_on_prod_circle_transform_function Complex.continuousOn_prod_circle_transform_function theorem continuousOn_abs_circleTransformBoundingFunction {R r : ℝ} (hr : r < R) (z : ℂ) : ContinuousOn (abs ∘ circleTransformBoundingFunction R z) (closedBall z r ×ˢ univ) := by have : ContinuousOn (circleTransformBoundingFunction R z) (closedBall z r ×ˢ univ) := by apply_rules [ContinuousOn.smul, continuousOn_const] · simp only [deriv_circleMap] apply_rules [ContinuousOn.mul, (continuous_circleMap 0 R).comp_continuousOn continuousOn_snd, continuousOn_const] · simpa only [inv_pow] using continuousOn_prod_circle_transform_function hr exact this.norm #align complex.continuous_on_abs_circle_transform_bounding_function Complex.continuousOn_abs_circleTransformBoundingFunction
Mathlib/MeasureTheory/Integral/CircleTransform.lean
120
129
theorem abs_circleTransformBoundingFunction_le {R r : ℝ} (hr : r < R) (hr' : 0 ≤ r) (z : ℂ) : ∃ x : closedBall z r ×ˢ [[0, 2 * π]], ∀ y : closedBall z r ×ˢ [[0, 2 * π]], abs (circleTransformBoundingFunction R z y) ≤ abs (circleTransformBoundingFunction R z x) := by
have cts := continuousOn_abs_circleTransformBoundingFunction hr z have comp : IsCompact (closedBall z r ×ˢ [[0, 2 * π]]) := by apply_rules [IsCompact.prod, ProperSpace.isCompact_closedBall z r, isCompact_uIcc] have none : (closedBall z r ×ˢ [[0, 2 * π]]).Nonempty := (nonempty_closedBall.2 hr').prod nonempty_uIcc have := IsCompact.exists_isMaxOn comp none (cts.mono <| prod_mono_right (subset_univ _)) simpa [isMaxOn_iff] using this
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp]
Mathlib/Analysis/Calculus/Gradient/Basic.lean
138
140
theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by
rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ
import Mathlib.Algebra.Module.Equiv import Mathlib.Algebra.Module.Hom import Mathlib.Algebra.Module.Prod import Mathlib.Algebra.Module.Submodule.Range import Mathlib.Data.Set.Finite import Mathlib.Order.ConditionallyCompleteLattice.Basic import Mathlib.Tactic.Abel #align_import linear_algebra.basic from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" open Function open Pointwise variable {R : Type*} {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} {R₄ : Type*} variable {S : Type*} variable {K : Type*} {K₂ : Type*} variable {M : Type*} {M' : Type*} {M₁ : Type*} {M₂ : Type*} {M₃ : Type*} {M₄ : Type*} variable {N : Type*} {N₂ : Type*} variable {ι : Type*} variable {V : Type*} {V₂ : Type*} namespace IsLinearMap theorem isLinearMap_add [Semiring R] [AddCommMonoid M] [Module R M] : IsLinearMap R fun x : M × M => x.1 + x.2 := by apply IsLinearMap.mk · intro x y simp only [Prod.fst_add, Prod.snd_add] abel -- Porting Note: was cc · intro x y simp [smul_add] #align is_linear_map.is_linear_map_add IsLinearMap.isLinearMap_add
Mathlib/LinearAlgebra/Basic.lean
83
91
theorem isLinearMap_sub {R M : Type*} [Semiring R] [AddCommGroup M] [Module R M] : IsLinearMap R fun x : M × M => x.1 - x.2 := by
apply IsLinearMap.mk · intro x y -- porting note (#10745): was `simp [add_comm, add_left_comm, sub_eq_add_neg]` rw [Prod.fst_add, Prod.snd_add] abel · intro x y simp [smul_sub]
import Mathlib.Algebra.Polynomial.Reverse import Mathlib.Algebra.Regular.SMul #align_import data.polynomial.monic from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5" noncomputable section open Finset open Polynomial namespace Polynomial universe u v y variable {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y} section Semiring variable [Semiring R] {p q r : R[X]} theorem monic_zero_iff_subsingleton : Monic (0 : R[X]) ↔ Subsingleton R := subsingleton_iff_zero_eq_one #align polynomial.monic_zero_iff_subsingleton Polynomial.monic_zero_iff_subsingleton theorem not_monic_zero_iff : ¬Monic (0 : R[X]) ↔ (0 : R) ≠ 1 := (monic_zero_iff_subsingleton.trans subsingleton_iff_zero_eq_one.symm).not #align polynomial.not_monic_zero_iff Polynomial.not_monic_zero_iff theorem monic_zero_iff_subsingleton' : Monic (0 : R[X]) ↔ (∀ f g : R[X], f = g) ∧ ∀ a b : R, a = b := Polynomial.monic_zero_iff_subsingleton.trans ⟨by intro simp [eq_iff_true_of_subsingleton], fun h => subsingleton_iff.mpr h.2⟩ #align polynomial.monic_zero_iff_subsingleton' Polynomial.monic_zero_iff_subsingleton' theorem Monic.as_sum (hp : p.Monic) : p = X ^ p.natDegree + ∑ i ∈ range p.natDegree, C (p.coeff i) * X ^ i := by conv_lhs => rw [p.as_sum_range_C_mul_X_pow, sum_range_succ_comm] suffices C (p.coeff p.natDegree) = 1 by rw [this, one_mul] exact congr_arg C hp #align polynomial.monic.as_sum Polynomial.Monic.as_sum theorem ne_zero_of_ne_zero_of_monic (hp : p ≠ 0) (hq : Monic q) : q ≠ 0 := by rintro rfl rw [Monic.def, leadingCoeff_zero] at hq rw [← mul_one p, ← C_1, ← hq, C_0, mul_zero] at hp exact hp rfl #align polynomial.ne_zero_of_ne_zero_of_monic Polynomial.ne_zero_of_ne_zero_of_monic theorem Monic.map [Semiring S] (f : R →+* S) (hp : Monic p) : Monic (p.map f) := by unfold Monic nontriviality have : f p.leadingCoeff ≠ 0 := by rw [show _ = _ from hp, f.map_one] exact one_ne_zero rw [Polynomial.leadingCoeff, coeff_map] suffices p.coeff (p.map f).natDegree = 1 by simp [this] rwa [natDegree_eq_of_degree_eq (degree_map_eq_of_leadingCoeff_ne_zero f this)] #align polynomial.monic.map Polynomial.Monic.map theorem monic_C_mul_of_mul_leadingCoeff_eq_one {b : R} (hp : b * p.leadingCoeff = 1) : Monic (C b * p) := by unfold Monic nontriviality rw [leadingCoeff_mul' _] <;> simp [leadingCoeff_C b, hp] set_option linter.uppercaseLean3 false in #align polynomial.monic_C_mul_of_mul_leading_coeff_eq_one Polynomial.monic_C_mul_of_mul_leadingCoeff_eq_one theorem monic_mul_C_of_leadingCoeff_mul_eq_one {b : R} (hp : p.leadingCoeff * b = 1) : Monic (p * C b) := by unfold Monic nontriviality rw [leadingCoeff_mul' _] <;> simp [leadingCoeff_C b, hp] set_option linter.uppercaseLean3 false in #align polynomial.monic_mul_C_of_leading_coeff_mul_eq_one Polynomial.monic_mul_C_of_leadingCoeff_mul_eq_one theorem monic_of_degree_le (n : ℕ) (H1 : degree p ≤ n) (H2 : coeff p n = 1) : Monic p := Decidable.byCases (fun H : degree p < n => eq_of_zero_eq_one (H2 ▸ (coeff_eq_zero_of_degree_lt H).symm) _ _) fun H : ¬degree p < n => by rwa [Monic, Polynomial.leadingCoeff, natDegree, (lt_or_eq_of_le H1).resolve_left H] #align polynomial.monic_of_degree_le Polynomial.monic_of_degree_le theorem monic_X_pow_add {n : ℕ} (H : degree p ≤ n) : Monic (X ^ (n + 1) + p) := have H1 : degree p < (n + 1 : ℕ) := lt_of_le_of_lt H (WithBot.coe_lt_coe.2 (Nat.lt_succ_self n)) monic_of_degree_le (n + 1) (le_trans (degree_add_le _ _) (max_le (degree_X_pow_le _) (le_of_lt H1))) (by rw [coeff_add, coeff_X_pow, if_pos rfl, coeff_eq_zero_of_degree_lt H1, add_zero]) set_option linter.uppercaseLean3 false in #align polynomial.monic_X_pow_add Polynomial.monic_X_pow_add variable (a) in theorem monic_X_pow_add_C {n : ℕ} (h : n ≠ 0) : (X ^ n + C a).Monic := by obtain ⟨k, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h exact monic_X_pow_add <| degree_C_le.trans Nat.WithBot.coe_nonneg theorem monic_X_add_C (x : R) : Monic (X + C x) := pow_one (X : R[X]) ▸ monic_X_pow_add_C x one_ne_zero set_option linter.uppercaseLean3 false in #align polynomial.monic_X_add_C Polynomial.monic_X_add_C theorem Monic.mul (hp : Monic p) (hq : Monic q) : Monic (p * q) := letI := Classical.decEq R if h0 : (0 : R) = 1 then haveI := subsingleton_of_zero_eq_one h0 Subsingleton.elim _ _ else by have : p.leadingCoeff * q.leadingCoeff ≠ 0 := by simp [Monic.def.1 hp, Monic.def.1 hq, Ne.symm h0] rw [Monic.def, leadingCoeff_mul' this, Monic.def.1 hp, Monic.def.1 hq, one_mul] #align polynomial.monic.mul Polynomial.Monic.mul theorem Monic.pow (hp : Monic p) : ∀ n : ℕ, Monic (p ^ n) | 0 => monic_one | n + 1 => by rw [pow_succ] exact (Monic.pow hp n).mul hp #align polynomial.monic.pow Polynomial.Monic.pow theorem Monic.add_of_left (hp : Monic p) (hpq : degree q < degree p) : Monic (p + q) := by rwa [Monic, add_comm, leadingCoeff_add_of_degree_lt hpq] #align polynomial.monic.add_of_left Polynomial.Monic.add_of_left theorem Monic.add_of_right (hq : Monic q) (hpq : degree p < degree q) : Monic (p + q) := by rwa [Monic, leadingCoeff_add_of_degree_lt hpq] #align polynomial.monic.add_of_right Polynomial.Monic.add_of_right theorem Monic.of_mul_monic_left (hp : p.Monic) (hpq : (p * q).Monic) : q.Monic := by contrapose! hpq rw [Monic.def] at hpq ⊢ rwa [leadingCoeff_monic_mul hp] #align polynomial.monic.of_mul_monic_left Polynomial.Monic.of_mul_monic_left theorem Monic.of_mul_monic_right (hq : q.Monic) (hpq : (p * q).Monic) : p.Monic := by contrapose! hpq rw [Monic.def] at hpq ⊢ rwa [leadingCoeff_mul_monic hq] #align polynomial.monic.of_mul_monic_right Polynomial.Monic.of_mul_monic_right section Semiring variable [Semiring R] @[simp] theorem Monic.natDegree_map [Semiring S] [Nontrivial S] {P : R[X]} (hmo : P.Monic) (f : R →+* S) : (P.map f).natDegree = P.natDegree := by refine le_antisymm (natDegree_map_le _ _) (le_natDegree_of_ne_zero ?_) rw [coeff_map, Monic.coeff_natDegree hmo, RingHom.map_one] exact one_ne_zero #align polynomial.monic.nat_degree_map Polynomial.Monic.natDegree_map @[simp] theorem Monic.degree_map [Semiring S] [Nontrivial S] {P : R[X]} (hmo : P.Monic) (f : R →+* S) : (P.map f).degree = P.degree := by by_cases hP : P = 0 · simp [hP] · refine le_antisymm (degree_map_le _ _) ?_ rw [degree_eq_natDegree hP] refine le_degree_of_ne_zero ?_ rw [coeff_map, Monic.coeff_natDegree hmo, RingHom.map_one] exact one_ne_zero #align polynomial.monic.degree_map Polynomial.Monic.degree_map section Injective open Function variable [Semiring S] {f : R →+* S} (hf : Injective f) theorem degree_map_eq_of_injective (p : R[X]) : degree (p.map f) = degree p := letI := Classical.decEq R if h : p = 0 then by simp [h] else degree_map_eq_of_leadingCoeff_ne_zero _ (by rw [← f.map_zero]; exact mt hf.eq_iff.1 (mt leadingCoeff_eq_zero.1 h)) #align polynomial.degree_map_eq_of_injective Polynomial.degree_map_eq_of_injective theorem natDegree_map_eq_of_injective (p : R[X]) : natDegree (p.map f) = natDegree p := natDegree_eq_of_degree_eq (degree_map_eq_of_injective hf p) #align polynomial.nat_degree_map_eq_of_injective Polynomial.natDegree_map_eq_of_injective theorem leadingCoeff_map' (p : R[X]) : leadingCoeff (p.map f) = f (leadingCoeff p) := by unfold leadingCoeff rw [coeff_map, natDegree_map_eq_of_injective hf p] #align polynomial.leading_coeff_map' Polynomial.leadingCoeff_map'
Mathlib/Algebra/Polynomial/Monic.lean
360
363
theorem nextCoeff_map (p : R[X]) : (p.map f).nextCoeff = f p.nextCoeff := by
unfold nextCoeff rw [natDegree_map_eq_of_injective hf] split_ifs <;> simp [*]
import Mathlib.CategoryTheory.Limits.Types import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.CategoryTheory.ConcreteCategory.Basic import Mathlib.Tactic.CategoryTheory.Elementwise import Mathlib.Data.Set.Subsingleton #align_import category_theory.limits.shapes.types from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8" universe v u open CategoryTheory Limits namespace CategoryTheory.Limits.Types example : HasProducts.{v} (Type v) := inferInstance example [UnivLE.{v, u}] : HasProducts.{v} (Type u) := inferInstance -- This shortcut instance is required in `Mathlib.CategoryTheory.Closed.Types`, -- although I don't understand why, and wish it wasn't. instance : HasProducts.{v} (Type v) := inferInstance @[simp 1001] theorem pi_lift_π_apply {β : Type v} [Small.{u} β] (f : β → Type u) {P : Type u} (s : ∀ b, P ⟶ f b) (b : β) (x : P) : (Pi.π f b : (piObj f) → f b) (@Pi.lift β _ _ f _ P s x) = s b x := congr_fun (limit.lift_π (Fan.mk P s) ⟨b⟩) x #align category_theory.limits.types.pi_lift_π_apply CategoryTheory.Limits.Types.pi_lift_π_apply theorem pi_lift_π_apply' {β : Type v} (f : β → Type v) {P : Type v} (s : ∀ b, P ⟶ f b) (b : β) (x : P) : (Pi.π f b : (piObj f) → f b) (@Pi.lift β _ _ f _ P s x) = s b x := by simp #align category_theory.limits.types.pi_lift_π_apply' CategoryTheory.Limits.Types.pi_lift_π_apply' @[simp 1001] theorem pi_map_π_apply {β : Type v} [Small.{u} β] {f g : β → Type u} (α : ∀ j, f j ⟶ g j) (b : β) (x) : (Pi.π g b : ∏ᶜ g → g b) (Pi.map α x) = α b ((Pi.π f b : ∏ᶜ f → f b) x) := Limit.map_π_apply.{v, u} _ _ _ #align category_theory.limits.types.pi_map_π_apply CategoryTheory.Limits.Types.pi_map_π_apply theorem pi_map_π_apply' {β : Type v} {f g : β → Type v} (α : ∀ j, f j ⟶ g j) (b : β) (x) : (Pi.π g b : ∏ᶜ g → g b) (Pi.map α x) = α b ((Pi.π f b : ∏ᶜ f → f b) x) := by simp #align category_theory.limits.types.pi_map_π_apply' CategoryTheory.Limits.Types.pi_map_π_apply' def terminalLimitCone : Limits.LimitCone (Functor.empty (Type u)) where -- Porting note: tidy was able to fill the structure automatically cone := { pt := PUnit π := (Functor.uniqueFromEmpty _).hom } isLimit := { lift := fun _ _ => PUnit.unit fac := fun _ => by rintro ⟨⟨⟩⟩ uniq := fun _ _ _ => by funext apply Subsingleton.elim } #align category_theory.limits.types.terminal_limit_cone CategoryTheory.Limits.Types.terminalLimitCone noncomputable def terminalIso : ⊤_ Type u ≅ PUnit := limit.isoLimitCone terminalLimitCone.{u, 0} #align category_theory.limits.types.terminal_iso CategoryTheory.Limits.Types.terminalIso noncomputable def isTerminalPunit : IsTerminal (PUnit : Type u) := terminalIsTerminal.ofIso terminalIso #align category_theory.limits.types.is_terminal_punit CategoryTheory.Limits.Types.isTerminalPunit -- Porting note: the following three instances have been added to ease -- the automation in a definition in `AlgebraicTopology.SimplicialSet` noncomputable instance : Inhabited (⊤_ (Type u)) := ⟨@terminal.from (Type u) _ _ (ULift (Fin 1)) (ULift.up 0)⟩ instance : Subsingleton (⊤_ (Type u)) := ⟨fun a b => congr_fun (@Subsingleton.elim (_ ⟶ ⊤_ (Type u)) _ (fun _ => a) (fun _ => b)) (ULift.up (0 : Fin 1))⟩ noncomputable instance : Unique (⊤_ (Type u)) := Unique.mk' _ noncomputable def isTerminalEquivUnique (X : Type u) : IsTerminal X ≃ Unique X := equivOfSubsingletonOfSubsingleton (fun h => ((Iso.toEquiv (terminalIsoIsTerminal h).symm).unique)) (fun _ => IsTerminal.ofIso terminalIsTerminal (Equiv.toIso (Equiv.equivOfUnique _ _))) noncomputable def isTerminalEquivIsoPUnit (X : Type u) : IsTerminal X ≃ (X ≅ PUnit) := by calc IsTerminal X ≃ Unique X := isTerminalEquivUnique _ _ ≃ (X ≃ PUnit.{u + 1}) := uniqueEquivEquivUnique _ _ _ ≃ (X ≅ PUnit) := equivEquivIso def initialColimitCocone : Limits.ColimitCocone (Functor.empty (Type u)) where -- Porting note: tidy was able to fill the structure automatically cocone := { pt := PEmpty ι := (Functor.uniqueFromEmpty _).inv } isColimit := { desc := fun _ => by rintro ⟨⟩ fac := fun _ => by rintro ⟨⟨⟩⟩ uniq := fun _ _ _ => by funext x; cases x } #align category_theory.limits.types.initial_colimit_cocone CategoryTheory.Limits.Types.initialColimitCocone noncomputable def initialIso : ⊥_ Type u ≅ PEmpty := colimit.isoColimitCocone initialColimitCocone.{u, 0} #align category_theory.limits.types.initial_iso CategoryTheory.Limits.Types.initialIso noncomputable def isInitialPunit : IsInitial (PEmpty : Type u) := initialIsInitial.ofIso initialIso #align category_theory.limits.types.is_initial_punit CategoryTheory.Limits.Types.isInitialPunit lemma initial_iff_empty (X : Type u) : Nonempty (IsInitial X) ↔ IsEmpty X := by constructor · intro ⟨h⟩ exact Function.isEmpty (IsInitial.to h PEmpty) · intro h exact ⟨IsInitial.ofIso Types.isInitialPunit <| Equiv.toIso <| Equiv.equivOfIsEmpty PEmpty X⟩ open CategoryTheory.Limits.WalkingPair -- We manually generate the other projection lemmas since the simp-normal form for the legs is -- otherwise not created correctly. @[simps! pt] def binaryProductCone (X Y : Type u) : BinaryFan X Y := BinaryFan.mk _root_.Prod.fst _root_.Prod.snd #align category_theory.limits.types.binary_product_cone CategoryTheory.Limits.Types.binaryProductCone @[simp] theorem binaryProductCone_fst (X Y : Type u) : (binaryProductCone X Y).fst = _root_.Prod.fst := rfl #align category_theory.limits.types.binary_product_cone_fst CategoryTheory.Limits.Types.binaryProductCone_fst @[simp] theorem binaryProductCone_snd (X Y : Type u) : (binaryProductCone X Y).snd = _root_.Prod.snd := rfl #align category_theory.limits.types.binary_product_cone_snd CategoryTheory.Limits.Types.binaryProductCone_snd @[simps] def binaryProductLimit (X Y : Type u) : IsLimit (binaryProductCone X Y) where lift (s : BinaryFan X Y) x := (s.fst x, s.snd x) fac _ j := Discrete.recOn j fun j => WalkingPair.casesOn j rfl rfl uniq _ _ w := funext fun x => Prod.ext (congr_fun (w ⟨left⟩) x) (congr_fun (w ⟨right⟩) x) #align category_theory.limits.types.binary_product_limit CategoryTheory.Limits.Types.binaryProductLimit @[simps] def binaryProductLimitCone (X Y : Type u) : Limits.LimitCone (pair X Y) := ⟨_, binaryProductLimit X Y⟩ #align category_theory.limits.types.binary_product_limit_cone CategoryTheory.Limits.Types.binaryProductLimitCone noncomputable def binaryProductIso (X Y : Type u) : Limits.prod X Y ≅ X × Y := limit.isoLimitCone (binaryProductLimitCone X Y) #align category_theory.limits.types.binary_product_iso CategoryTheory.Limits.Types.binaryProductIso @[elementwise (attr := simp)] theorem binaryProductIso_hom_comp_fst (X Y : Type u) : (binaryProductIso X Y).hom ≫ _root_.Prod.fst = Limits.prod.fst := limit.isoLimitCone_hom_π (binaryProductLimitCone X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.types.binary_product_iso_hom_comp_fst CategoryTheory.Limits.Types.binaryProductIso_hom_comp_fst @[elementwise (attr := simp)] theorem binaryProductIso_hom_comp_snd (X Y : Type u) : (binaryProductIso X Y).hom ≫ _root_.Prod.snd = Limits.prod.snd := limit.isoLimitCone_hom_π (binaryProductLimitCone X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.types.binary_product_iso_hom_comp_snd CategoryTheory.Limits.Types.binaryProductIso_hom_comp_snd @[elementwise (attr := simp)] theorem binaryProductIso_inv_comp_fst (X Y : Type u) : (binaryProductIso X Y).inv ≫ Limits.prod.fst = _root_.Prod.fst := limit.isoLimitCone_inv_π (binaryProductLimitCone X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.types.binary_product_iso_inv_comp_fst CategoryTheory.Limits.Types.binaryProductIso_inv_comp_fst @[elementwise (attr := simp)] theorem binaryProductIso_inv_comp_snd (X Y : Type u) : (binaryProductIso X Y).inv ≫ Limits.prod.snd = _root_.Prod.snd := limit.isoLimitCone_inv_π (binaryProductLimitCone X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.types.binary_product_iso_inv_comp_snd CategoryTheory.Limits.Types.binaryProductIso_inv_comp_snd -- Porting note: it was originally @[simps (config := { typeMd := reducible })] -- We add the option `type_md` to tell `@[simps]` to not treat homomorphisms `X ⟶ Y` in `Type*` as -- a function type @[simps] def binaryProductFunctor : Type u ⥤ Type u ⥤ Type u where obj X := { obj := fun Y => X × Y map := fun { Y₁ Y₂} f => (binaryProductLimit X Y₂).lift (BinaryFan.mk _root_.Prod.fst (_root_.Prod.snd ≫ f)) } map {X₁ X₂} f := { app := fun Y => (binaryProductLimit X₂ Y).lift (BinaryFan.mk (_root_.Prod.fst ≫ f) _root_.Prod.snd) } #align category_theory.limits.types.binary_product_functor CategoryTheory.Limits.Types.binaryProductFunctor noncomputable def binaryProductIsoProd : binaryProductFunctor ≅ (prod.functor : Type u ⥤ _) := by refine NatIso.ofComponents (fun X => ?_) (fun _ => ?_) · refine NatIso.ofComponents (fun Y => ?_) (fun _ => ?_) · exact ((limit.isLimit _).conePointUniqueUpToIso (binaryProductLimit X Y)).symm · apply Limits.prod.hom_ext <;> simp <;> rfl · ext : 2 apply Limits.prod.hom_ext <;> simp <;> rfl #align category_theory.limits.types.binary_product_iso_prod CategoryTheory.Limits.Types.binaryProductIsoProd @[simps!] def binaryCoproductCocone (X Y : Type u) : Cocone (pair X Y) := BinaryCofan.mk Sum.inl Sum.inr #align category_theory.limits.types.binary_coproduct_cocone CategoryTheory.Limits.Types.binaryCoproductCocone @[simps] def binaryCoproductColimit (X Y : Type u) : IsColimit (binaryCoproductCocone X Y) where desc := fun s : BinaryCofan X Y => Sum.elim s.inl s.inr fac _ j := Discrete.recOn j fun j => WalkingPair.casesOn j rfl rfl uniq _ _ w := funext fun x => Sum.casesOn x (congr_fun (w ⟨left⟩)) (congr_fun (w ⟨right⟩)) #align category_theory.limits.types.binary_coproduct_colimit CategoryTheory.Limits.Types.binaryCoproductColimit def binaryCoproductColimitCocone (X Y : Type u) : Limits.ColimitCocone (pair X Y) := ⟨_, binaryCoproductColimit X Y⟩ #align category_theory.limits.types.binary_coproduct_colimit_cocone CategoryTheory.Limits.Types.binaryCoproductColimitCocone noncomputable def binaryCoproductIso (X Y : Type u) : Limits.coprod X Y ≅ X ⊕ Y := colimit.isoColimitCocone (binaryCoproductColimitCocone X Y) #align category_theory.limits.types.binary_coproduct_iso CategoryTheory.Limits.Types.binaryCoproductIso --open CategoryTheory.Type @[elementwise (attr := simp)] theorem binaryCoproductIso_inl_comp_hom (X Y : Type u) : Limits.coprod.inl ≫ (binaryCoproductIso X Y).hom = Sum.inl := colimit.isoColimitCocone_ι_hom (binaryCoproductColimitCocone X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.types.binary_coproduct_iso_inl_comp_hom CategoryTheory.Limits.Types.binaryCoproductIso_inl_comp_hom @[elementwise (attr := simp)] theorem binaryCoproductIso_inr_comp_hom (X Y : Type u) : Limits.coprod.inr ≫ (binaryCoproductIso X Y).hom = Sum.inr := colimit.isoColimitCocone_ι_hom (binaryCoproductColimitCocone X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.types.binary_coproduct_iso_inr_comp_hom CategoryTheory.Limits.Types.binaryCoproductIso_inr_comp_hom @[elementwise (attr := simp)] theorem binaryCoproductIso_inl_comp_inv (X Y : Type u) : ↾(Sum.inl : X ⟶ X ⊕ Y) ≫ (binaryCoproductIso X Y).inv = Limits.coprod.inl := colimit.isoColimitCocone_ι_inv (binaryCoproductColimitCocone X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.types.binary_coproduct_iso_inl_comp_inv CategoryTheory.Limits.Types.binaryCoproductIso_inl_comp_inv @[elementwise (attr := simp)] theorem binaryCoproductIso_inr_comp_inv (X Y : Type u) : ↾(Sum.inr : Y ⟶ X ⊕ Y) ≫ (binaryCoproductIso X Y).inv = Limits.coprod.inr := colimit.isoColimitCocone_ι_inv (binaryCoproductColimitCocone X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.types.binary_coproduct_iso_inr_comp_inv CategoryTheory.Limits.Types.binaryCoproductIso_inr_comp_inv open Function (Injective) theorem binaryCofan_isColimit_iff {X Y : Type u} (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ Injective c.inl ∧ Injective c.inr ∧ IsCompl (Set.range c.inl) (Set.range c.inr) := by classical constructor · rintro ⟨h⟩ rw [← show _ = c.inl from h.comp_coconePointUniqueUpToIso_inv (binaryCoproductColimit X Y) ⟨WalkingPair.left⟩, ← show _ = c.inr from h.comp_coconePointUniqueUpToIso_inv (binaryCoproductColimit X Y) ⟨WalkingPair.right⟩] dsimp [binaryCoproductCocone] refine ⟨(h.coconePointUniqueUpToIso (binaryCoproductColimit X Y)).symm.toEquiv.injective.comp Sum.inl_injective, (h.coconePointUniqueUpToIso (binaryCoproductColimit X Y)).symm.toEquiv.injective.comp Sum.inr_injective, ?_⟩ erw [Set.range_comp, ← eq_compl_iff_isCompl, Set.range_comp _ Sum.inr, ← Set.image_compl_eq (h.coconePointUniqueUpToIso (binaryCoproductColimit X Y)).symm.toEquiv.bijective] simp · rintro ⟨h₁, h₂, h₃⟩ have : ∀ x, x ∈ Set.range c.inl ∨ x ∈ Set.range c.inr := by rw [eq_compl_iff_isCompl.mpr h₃.symm] exact fun _ => or_not refine ⟨BinaryCofan.IsColimit.mk _ ?_ ?_ ?_ ?_⟩ · intro T f g x exact if h : x ∈ Set.range c.inl then f ((Equiv.ofInjective _ h₁).symm ⟨x, h⟩) else g ((Equiv.ofInjective _ h₂).symm ⟨x, (this x).resolve_left h⟩) · intro T f g funext x dsimp simp [h₁.eq_iff] · intro T f g funext x dsimp simp only [Set.mem_range, Equiv.ofInjective_symm_apply, dite_eq_right_iff, forall_exists_index] intro y e have : c.inr x ∈ Set.range c.inl ⊓ Set.range c.inr := ⟨⟨_, e⟩, ⟨_, rfl⟩⟩ rw [disjoint_iff.mp h₃.1] at this exact this.elim · rintro T _ _ m rfl rfl funext x dsimp split_ifs <;> exact congr_arg _ (Equiv.apply_ofInjective_symm _ ⟨_, _⟩).symm #align category_theory.limits.types.binary_cofan_is_colimit_iff CategoryTheory.Limits.Types.binaryCofan_isColimit_iff noncomputable def isCoprodOfMono {X Y : Type u} (f : X ⟶ Y) [Mono f] : IsColimit (BinaryCofan.mk f (Subtype.val : ↑(Set.range f)ᶜ → Y)) := by apply Nonempty.some rw [binaryCofan_isColimit_iff] refine ⟨(mono_iff_injective f).mp inferInstance, Subtype.val_injective, ?_⟩ symm rw [← eq_compl_iff_isCompl] exact Subtype.range_val #align category_theory.limits.types.is_coprod_of_mono CategoryTheory.Limits.Types.isCoprodOfMono def productLimitCone {J : Type v} (F : J → TypeMax.{v, u}) : Limits.LimitCone (Discrete.functor F) where cone := { pt := ∀ j, F j π := Discrete.natTrans (fun ⟨j⟩ f => f j) } isLimit := { lift := fun s x j => s.π.app ⟨j⟩ x uniq := fun s m w => funext fun x => funext fun j => (congr_fun (w ⟨j⟩) x : _) } #align category_theory.limits.types.product_limit_cone CategoryTheory.Limits.Types.productLimitCone noncomputable def productIso {J : Type v} (F : J → TypeMax.{v, u}) : ∏ᶜ F ≅ ∀ j, F j := limit.isoLimitCone (productLimitCone.{v, u} F) #align category_theory.limits.types.product_iso CategoryTheory.Limits.Types.productIso -- Porting note: was `@[elementwise (attr := simp)]`, but it produces a trivial lemma -- It should produce the lemma below. @[simp] theorem productIso_hom_comp_eval {J : Type v} (F : J → TypeMax.{v, u}) (j : J) : ((productIso.{v, u} F).hom ≫ fun f => f j) = Pi.π F j := rfl #align category_theory.limits.types.product_iso_hom_comp_eval CategoryTheory.Limits.Types.productIso_hom_comp_eval @[simp] theorem productIso_hom_comp_eval_apply {J : Type v} (F : J → TypeMax.{v, u}) (j : J) (x) : ((productIso.{v, u} F).hom x) j = Pi.π F j x := rfl #align category_theory.limits.types.product_iso_hom_comp_eval_apply CategoryTheory.Limits.Types.productIso_hom_comp_eval_apply @[elementwise (attr := simp)] theorem productIso_inv_comp_π {J : Type v} (F : J → TypeMax.{v, u}) (j : J) : (productIso.{v, u} F).inv ≫ Pi.π F j = fun f => f j := limit.isoLimitCone_inv_π (productLimitCone.{v, u} F) ⟨j⟩ #align category_theory.limits.types.product_iso_inv_comp_π CategoryTheory.Limits.Types.productIso_inv_comp_π def coproductColimitCocone {J : Type v} (F : J → TypeMax.{v, u}) : Limits.ColimitCocone (Discrete.functor F) where cocone := { pt := Σj, F j ι := Discrete.natTrans (fun ⟨j⟩ x => ⟨j, x⟩)} isColimit := { desc := fun s x => s.ι.app ⟨x.1⟩ x.2 uniq := fun s m w => by funext ⟨j, x⟩ exact congr_fun (w ⟨j⟩) x } #align category_theory.limits.types.coproduct_colimit_cocone CategoryTheory.Limits.Types.coproductColimitCocone noncomputable def coproductIso {J : Type v} (F : J → TypeMax.{v, u}) : ∐ F ≅ Σj, F j := colimit.isoColimitCocone (coproductColimitCocone F) #align category_theory.limits.types.coproduct_iso CategoryTheory.Limits.Types.coproductIso @[elementwise (attr := simp)] theorem coproductIso_ι_comp_hom {J : Type v} (F : J → TypeMax.{v, u}) (j : J) : Sigma.ι F j ≫ (coproductIso F).hom = fun x : F j => (⟨j, x⟩ : Σj, F j) := colimit.isoColimitCocone_ι_hom (coproductColimitCocone F) ⟨j⟩ #align category_theory.limits.types.coproduct_iso_ι_comp_hom CategoryTheory.Limits.Types.coproductIso_ι_comp_hom -- Porting note: was @[elementwise (attr := simp)], but it produces a trivial lemma -- removed simp attribute because it seems it never applies theorem coproductIso_mk_comp_inv {J : Type v} (F : J → TypeMax.{v, u}) (j : J) : (↾fun x : F j => (⟨j, x⟩ : Σj, F j)) ≫ (coproductIso F).inv = Sigma.ι F j := rfl #align category_theory.limits.types.coproduct_iso_mk_comp_inv CategoryTheory.Limits.Types.coproductIso_mk_comp_inv section Pullback open CategoryTheory.Limits.WalkingPair open CategoryTheory.Limits.WalkingCospan open CategoryTheory.Limits.WalkingCospan.Hom -- #synth HasPullbacks.{u} (Type u) instance : HasPullbacks.{u} (Type u) := -- FIXME does not work via `inferInstance` despite `#synth HasPullbacks.{u} (Type u)` succeeding. -- https://github.com/leanprover-community/mathlib4/issues/5752 -- inferInstance hasPullbacks_of_hasWidePullbacks.{u} (Type u) instance : HasPushouts.{u} (Type u) := hasPushouts_of_hasWidePushouts.{u} (Type u) variable {W X Y Z : Type u} variable (f : X ⟶ Z) (g : Y ⟶ Z) -- porting note (#5171): removed @[nolint has_nonempty_instance] abbrev PullbackObj : Type u := { p : X × Y // f p.1 = g p.2 } #align category_theory.limits.types.pullback_obj CategoryTheory.Limits.Types.PullbackObj -- `PullbackObj f g` comes with a coercion to the product type `X × Y`. example (p : PullbackObj f g) : X × Y := p abbrev pullbackCone : Limits.PullbackCone f g := PullbackCone.mk (fun p : PullbackObj f g => p.1.1) (fun p => p.1.2) (funext fun p => p.2) #align category_theory.limits.types.pullback_cone CategoryTheory.Limits.Types.pullbackCone @[simps] def pullbackLimitCone (f : X ⟶ Z) (g : Y ⟶ Z) : Limits.LimitCone (cospan f g) where cone := pullbackCone f g isLimit := PullbackCone.isLimitAux _ (fun s x => ⟨⟨s.fst x, s.snd x⟩, congr_fun s.condition x⟩) (by aesop) (by aesop) fun s m w => funext fun x => Subtype.ext <| Prod.ext (congr_fun (w WalkingCospan.left) x) (congr_fun (w WalkingCospan.right) x) #align category_theory.limits.types.pullback_limit_cone CategoryTheory.Limits.Types.pullbackLimitCone noncomputable def pullbackConeIsoPullback : limit.cone (cospan f g) ≅ pullbackCone f g := (limit.isLimit _).uniqueUpToIso (pullbackLimitCone f g).isLimit #align category_theory.limits.types.pullback_cone_iso_pullback CategoryTheory.Limits.Types.pullbackConeIsoPullback noncomputable def pullbackIsoPullback : pullback f g ≅ PullbackObj f g := (Cones.forget _).mapIso <| pullbackConeIsoPullback f g #align category_theory.limits.types.pullback_iso_pullback CategoryTheory.Limits.Types.pullbackIsoPullback @[simp] theorem pullbackIsoPullback_hom_fst (p : pullback f g) : ((pullbackIsoPullback f g).hom p : X × Y).fst = (pullback.fst : _ ⟶ X) p := congr_fun ((pullbackConeIsoPullback f g).hom.w left) p #align category_theory.limits.types.pullback_iso_pullback_hom_fst CategoryTheory.Limits.Types.pullbackIsoPullback_hom_fst @[simp] theorem pullbackIsoPullback_hom_snd (p : pullback f g) : ((pullbackIsoPullback f g).hom p : X × Y).snd = (pullback.snd : _ ⟶ Y) p := congr_fun ((pullbackConeIsoPullback f g).hom.w right) p #align category_theory.limits.types.pullback_iso_pullback_hom_snd CategoryTheory.Limits.Types.pullbackIsoPullback_hom_snd @[simp] theorem pullbackIsoPullback_inv_fst : (pullbackIsoPullback f g).inv ≫ pullback.fst = fun p => (p.1 : X × Y).fst := (pullbackConeIsoPullback f g).inv.w left #align category_theory.limits.types.pullback_iso_pullback_inv_fst CategoryTheory.Limits.Types.pullbackIsoPullback_inv_fst @[simp] theorem pullbackIsoPullback_inv_fst_apply (x : (Types.pullbackCone f g).pt) : (pullback.fst : _ ⟶ X) ((pullbackIsoPullback f g).inv x) = (fun p => (p.1 : X × Y).fst) x := by rw [elementwise_of% pullbackIsoPullback_inv_fst] @[simp] theorem pullbackIsoPullback_inv_snd : (pullbackIsoPullback f g).inv ≫ pullback.snd = fun p => (p.1 : X × Y).snd := (pullbackConeIsoPullback f g).inv.w right #align category_theory.limits.types.pullback_iso_pullback_inv_snd CategoryTheory.Limits.Types.pullbackIsoPullback_inv_snd @[simp]
Mathlib/CategoryTheory/Limits/Shapes/Types.lean
727
729
theorem pullbackIsoPullback_inv_snd_apply (x : (Types.pullbackCone f g).pt) : (pullback.snd : _ ⟶ Y) ((pullbackIsoPullback f g).inv x) = (fun p => (p.1 : X × Y).snd) x := by
rw [elementwise_of% pullbackIsoPullback_inv_snd]
import Mathlib.Geometry.RingedSpace.PresheafedSpace import Mathlib.Topology.Category.TopCat.Limits.Basic import Mathlib.Topology.Sheaves.Limits import Mathlib.CategoryTheory.ConcreteCategory.Elementwise #align_import algebraic_geometry.presheafed_space.has_colimits from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" noncomputable section universe v' u' v u open CategoryTheory Opposite CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits TopCat TopCat.Presheaf TopologicalSpace variable {J : Type u'} [Category.{v'} J] {C : Type u} [Category.{v} C] namespace AlgebraicGeometry namespace PresheafedSpace attribute [local simp] eqToHom_map -- Porting note: we used to have: -- local attribute [tidy] tactic.auto_cases_opens -- We would replace this by: -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- although it doesn't appear to help in this file, in any case. @[simp] theorem map_id_c_app (F : J ⥤ PresheafedSpace.{_, _, v} C) (j) (U) : (F.map (𝟙 j)).c.app (op U) = (Pushforward.id (F.obj j).presheaf).inv.app (op U) ≫ (pushforwardEq (by simp) (F.obj j).presheaf).hom.app (op U) := by cases U simp [PresheafedSpace.congr_app (F.map_id j)] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.map_id_c_app AlgebraicGeometry.PresheafedSpace.map_id_c_app @[simp] theorem map_comp_c_app (F : J ⥤ PresheafedSpace.{_, _, v} C) {j₁ j₂ j₃} (f : j₁ ⟶ j₂) (g : j₂ ⟶ j₃) (U) : (F.map (f ≫ g)).c.app (op U) = (F.map g).c.app (op U) ≫ (pushforwardMap (F.map g).base (F.map f).c).app (op U) ≫ (Pushforward.comp (F.obj j₁).presheaf (F.map f).base (F.map g).base).inv.app (op U) ≫ (pushforwardEq (by rw [F.map_comp]; rfl) _).hom.app _ := by cases U simp [PresheafedSpace.congr_app (F.map_comp f g)] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.map_comp_c_app AlgebraicGeometry.PresheafedSpace.map_comp_c_app -- See note [dsimp, simp] @[simps] def componentwiseDiagram (F : J ⥤ PresheafedSpace.{_, _, v} C) [HasColimit F] (U : Opens (Limits.colimit F).carrier) : Jᵒᵖ ⥤ C where obj j := (F.obj (unop j)).presheaf.obj (op ((Opens.map (colimit.ι F (unop j)).base).obj U)) map {j k} f := (F.map f.unop).c.app _ ≫ (F.obj (unop k)).presheaf.map (eqToHom (by rw [← colimit.w F f.unop, comp_base]; rfl)) map_comp {i j k} f g := by dsimp simp_rw [map_comp_c_app] simp only [op_obj, unop_op, eqToHom_op, id_eq, id_comp, assoc, eqToHom_trans] congr 1 rw [TopCat.Presheaf.Pushforward.comp_inv_app, TopCat.Presheaf.pushforwardEq_hom_app, CategoryTheory.NatTrans.naturality_assoc, TopCat.Presheaf.pushforwardMap_app] congr 1 simp map_id x := by dsimp simp [map_id_c_app, pushforwardObj_obj, op_obj, unop_op, pushforwardEq_hom_app, eqToHom_op, id_eq, eqToHom_map, assoc, eqToHom_trans, eqToHom_refl, comp_id, TopCat.Presheaf.Pushforward.id_inv_app'] rw [TopCat.Presheaf.Pushforward.id_inv_app'] simp only [Opens.carrier_eq_coe, Opens.mk_coe, map_id] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.componentwise_diagram AlgebraicGeometry.PresheafedSpace.componentwiseDiagram variable [HasColimitsOfShape J TopCat.{v}] @[simps] def pushforwardDiagramToColimit (F : J ⥤ PresheafedSpace.{_, _, v} C) : J ⥤ (Presheaf C (colimit (F ⋙ PresheafedSpace.forget C)))ᵒᵖ where obj j := op (colimit.ι (F ⋙ PresheafedSpace.forget C) j _* (F.obj j).presheaf) map {j j'} f := (pushforwardMap (colimit.ι (F ⋙ PresheafedSpace.forget C) j') (F.map f).c ≫ (Pushforward.comp (F.obj j).presheaf ((F ⋙ PresheafedSpace.forget C).map f) (colimit.ι (F ⋙ PresheafedSpace.forget C) j')).inv ≫ (pushforwardEq (colimit.w (F ⋙ PresheafedSpace.forget C) f) (F.obj j).presheaf).hom).op map_id j := by apply (opEquiv _ _).injective refine NatTrans.ext _ _ (funext fun U => ?_) induction U with | h U => rcases U with ⟨U, hU⟩ dsimp [comp_obj, forget_obj, Functor.comp_map, forget_map, op_comp, unop_op, pushforwardObj_obj, op_obj, Opens.map_obj, opEquiv, Equiv.coe_fn_mk, unop_comp, Quiver.Hom.unop_op, unop_id] -- Porting note: some `simp` lemmas are not picked up rw [NatTrans.id_app] simp only [op_obj, unop_op, Opens.map_obj, map_id_c_app, Opens.map_id_obj', map_id, pushforwardEq_hom_app, eqToHom_op, id_eq, eqToHom_map, id_comp, TopCat.Presheaf.Pushforward.id_inv_app'] rw [Pushforward.comp_inv_app] dsimp simp map_comp {j₁ j₂ j₃} f g := by apply (opEquiv _ _).injective refine NatTrans.ext _ _ (funext fun U => ?_) dsimp only [comp_obj, forget_obj, Functor.comp_map, forget_map, op_comp, unop_op, pushforwardObj_obj, op_obj, opEquiv, Equiv.coe_fn_mk, unop_comp, Quiver.Hom.unop_op] -- Porting note: some `simp` lemmas are not picked up rw [NatTrans.comp_app, pushforwardMap_app, NatTrans.comp_app, Pushforward.comp_inv_app, id_comp, pushforwardEq_hom_app, NatTrans.comp_app, NatTrans.comp_app, NatTrans.comp_app, pushforwardMap_app, Pushforward.comp_inv_app, id_comp, pushforwardEq_hom_app, NatTrans.comp_app, NatTrans.comp_app, pushforwardEq_hom_app, Pushforward.comp_inv_app, id_comp, pushforwardMap_app] simp only [pushforwardObj_obj, op_obj, unop_op, map_comp_c_app, pushforwardMap_app, Opens.map_comp_obj, Pushforward.comp_inv_app, pushforwardEq_hom_app, eqToHom_op, id_eq, eqToHom_map, id_comp, assoc, eqToHom_trans] dsimp congr 1 -- The key fact is `(F.map f).c.congr`, -- which allows us in rewrite in the argument of `(F.map f).c.app`. rw [@NatTrans.congr (α := (F.map f).c) (op ((Opens.map (F.map g).base).obj ((Opens.map (colimit.ι (F ⋙ forget C) j₃)).obj U.unop))) (op ((Opens.map (colimit.ι (F ⋙ PresheafedSpace.forget C) j₂)).obj (unop U))) _] swap -- Now we show the open sets are equal. · apply unop_injective rw [← Opens.map_comp_obj] congr exact colimit.w (F ⋙ PresheafedSpace.forget C) g -- Finally, the original goal is now easy: simp set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.pushforward_diagram_to_colimit AlgebraicGeometry.PresheafedSpace.pushforwardDiagramToColimit variable [∀ X : TopCat.{v}, HasLimitsOfShape Jᵒᵖ (X.Presheaf C)] def colimit (F : J ⥤ PresheafedSpace.{_, _, v} C) : PresheafedSpace C where carrier := Limits.colimit (F ⋙ PresheafedSpace.forget C) presheaf := limit (pushforwardDiagramToColimit F).leftOp set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.colimit AlgebraicGeometry.PresheafedSpace.colimit @[simp] theorem colimit_carrier (F : J ⥤ PresheafedSpace.{_, _, v} C) : (colimit F).carrier = Limits.colimit (F ⋙ PresheafedSpace.forget C) := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.colimit_carrier AlgebraicGeometry.PresheafedSpace.colimit_carrier @[simp] theorem colimit_presheaf (F : J ⥤ PresheafedSpace.{_, _, v} C) : (colimit F).presheaf = limit (pushforwardDiagramToColimit F).leftOp := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.colimit_presheaf AlgebraicGeometry.PresheafedSpace.colimit_presheaf @[simps] def colimitCocone (F : J ⥤ PresheafedSpace.{_, _, v} C) : Cocone F where pt := colimit F ι := { app := fun j => { base := colimit.ι (F ⋙ PresheafedSpace.forget C) j c := limit.π _ (op j) } naturality := fun {j j'} f => by ext1 · ext x exact colimit.w_apply (F ⋙ PresheafedSpace.forget C) f x · ext ⟨U, hU⟩ dsimp [-Presheaf.comp_app] rw [PresheafedSpace.id_c_app, map_id] erw [id_comp] rw [NatTrans.comp_app, PresheafedSpace.comp_c_app, whiskerRight_app, eqToHom_app, ← congr_arg NatTrans.app (limit.w (pushforwardDiagramToColimit F).leftOp f.op), NatTrans.comp_app, Functor.leftOp_map, pushforwardDiagramToColimit_map] dsimp [-Presheaf.comp_app] rw [NatTrans.comp_app, NatTrans.comp_app, pushforwardEq_hom_app, _root_.id, eqToHom_op, Pushforward.comp_inv_app, id_comp, pushforwardMap_app, ← assoc] congr 1 } set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.colimit_cocone AlgebraicGeometry.PresheafedSpace.colimitCocone variable [HasLimitsOfShape Jᵒᵖ C] namespace ColimitCoconeIsColimit def descCApp (F : J ⥤ PresheafedSpace.{_, _, v} C) (s : Cocone F) (U : (Opens s.pt.carrier)ᵒᵖ) : s.pt.presheaf.obj U ⟶ (colimit.desc (F ⋙ PresheafedSpace.forget C) ((PresheafedSpace.forget C).mapCocone s) _* limit (pushforwardDiagramToColimit F).leftOp).obj U := by refine limit.lift _ { pt := s.pt.presheaf.obj U π := { app := fun j => ?_ naturality := fun j j' f => ?_ } } ≫ (limitObjIsoLimitCompEvaluation _ _).inv -- We still need to construct the `app` and `naturality'` fields omitted above. · refine (s.ι.app (unop j)).c.app U ≫ (F.obj (unop j)).presheaf.map (eqToHom ?_) dsimp rw [← Opens.map_comp_obj] simp · dsimp rw [PresheafedSpace.congr_app (s.w f.unop).symm U] have w := Functor.congr_obj (congr_arg Opens.map (colimit.ι_desc ((PresheafedSpace.forget C).mapCocone s) (unop j))) (unop U) simp only [Opens.map_comp_obj_unop] at w replace w := congr_arg op w have w' := NatTrans.congr (F.map f.unop).c w rw [w'] simp set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.colimit_cocone_is_colimit.desc_c_app AlgebraicGeometry.PresheafedSpace.ColimitCoconeIsColimit.descCApp
Mathlib/Geometry/RingedSpace/PresheafedSpace/HasColimits.lean
266
286
theorem desc_c_naturality (F : J ⥤ PresheafedSpace.{_, _, v} C) (s : Cocone F) {U V : (Opens s.pt.carrier)ᵒᵖ} (i : U ⟶ V) : s.pt.presheaf.map i ≫ descCApp F s V = descCApp F s U ≫ (colimit.desc (F ⋙ forget C) ((forget C).mapCocone s) _* (colimitCocone F).pt.presheaf).map i := by
dsimp [descCApp] refine limit_obj_ext (fun j => ?_) simp only [limit.lift_π, NatTrans.naturality, limit.lift_π_assoc, eqToHom_map, assoc, pushforwardObj_map, NatTrans.naturality_assoc, op_map, limitObjIsoLimitCompEvaluation_inv_π_app_assoc, limitObjIsoLimitCompEvaluation_inv_π_app] dsimp have w := Functor.congr_hom (congr_arg Opens.map (colimit.ι_desc ((PresheafedSpace.forget C).mapCocone s) (unop j))) i.unop simp only [Opens.map_comp_map] at w replace w := congr_arg Quiver.Hom.op w rw [w] simp
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Induction #align_import data.polynomial.eval from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f" set_option linter.uppercaseLean3 false noncomputable section open Finset AddMonoidAlgebra open Polynomial namespace Polynomial universe u v w y variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} section variable [Semiring S] variable (f : R →+* S) (x : S) irreducible_def eval₂ (p : R[X]) : S := p.sum fun e a => f a * x ^ e #align polynomial.eval₂ Polynomial.eval₂ theorem eval₂_eq_sum {f : R →+* S} {x : S} : p.eval₂ f x = p.sum fun e a => f a * x ^ e := by rw [eval₂_def] #align polynomial.eval₂_eq_sum Polynomial.eval₂_eq_sum theorem eval₂_congr {R S : Type*} [Semiring R] [Semiring S] {f g : R →+* S} {s t : S} {φ ψ : R[X]} : f = g → s = t → φ = ψ → eval₂ f s φ = eval₂ g t ψ := by rintro rfl rfl rfl; rfl #align polynomial.eval₂_congr Polynomial.eval₂_congr @[simp] theorem eval₂_at_zero : p.eval₂ f 0 = f (coeff p 0) := by simp (config := { contextual := true }) only [eval₂_eq_sum, zero_pow_eq, mul_ite, mul_zero, mul_one, sum, Classical.not_not, mem_support_iff, sum_ite_eq', ite_eq_left_iff, RingHom.map_zero, imp_true_iff, eq_self_iff_true] #align polynomial.eval₂_at_zero Polynomial.eval₂_at_zero @[simp] theorem eval₂_zero : (0 : R[X]).eval₂ f x = 0 := by simp [eval₂_eq_sum] #align polynomial.eval₂_zero Polynomial.eval₂_zero @[simp] theorem eval₂_C : (C a).eval₂ f x = f a := by simp [eval₂_eq_sum] #align polynomial.eval₂_C Polynomial.eval₂_C @[simp] theorem eval₂_X : X.eval₂ f x = x := by simp [eval₂_eq_sum] #align polynomial.eval₂_X Polynomial.eval₂_X @[simp] theorem eval₂_monomial {n : ℕ} {r : R} : (monomial n r).eval₂ f x = f r * x ^ n := by simp [eval₂_eq_sum] #align polynomial.eval₂_monomial Polynomial.eval₂_monomial @[simp] theorem eval₂_X_pow {n : ℕ} : (X ^ n).eval₂ f x = x ^ n := by rw [X_pow_eq_monomial] convert eval₂_monomial f x (n := n) (r := 1) simp #align polynomial.eval₂_X_pow Polynomial.eval₂_X_pow @[simp] theorem eval₂_add : (p + q).eval₂ f x = p.eval₂ f x + q.eval₂ f x := by simp only [eval₂_eq_sum] apply sum_add_index <;> simp [add_mul] #align polynomial.eval₂_add Polynomial.eval₂_add @[simp] theorem eval₂_one : (1 : R[X]).eval₂ f x = 1 := by rw [← C_1, eval₂_C, f.map_one] #align polynomial.eval₂_one Polynomial.eval₂_one set_option linter.deprecated false in @[simp] theorem eval₂_bit0 : (bit0 p).eval₂ f x = bit0 (p.eval₂ f x) := by rw [bit0, eval₂_add, bit0] #align polynomial.eval₂_bit0 Polynomial.eval₂_bit0 set_option linter.deprecated false in @[simp] theorem eval₂_bit1 : (bit1 p).eval₂ f x = bit1 (p.eval₂ f x) := by rw [bit1, eval₂_add, eval₂_bit0, eval₂_one, bit1] #align polynomial.eval₂_bit1 Polynomial.eval₂_bit1 @[simp] theorem eval₂_smul (g : R →+* S) (p : R[X]) (x : S) {s : R} : eval₂ g x (s • p) = g s * eval₂ g x p := by have A : p.natDegree < p.natDegree.succ := Nat.lt_succ_self _ have B : (s • p).natDegree < p.natDegree.succ := (natDegree_smul_le _ _).trans_lt A rw [eval₂_eq_sum, eval₂_eq_sum, sum_over_range' _ _ _ A, sum_over_range' _ _ _ B] <;> simp [mul_sum, mul_assoc] #align polynomial.eval₂_smul Polynomial.eval₂_smul @[simp] theorem eval₂_C_X : eval₂ C X p = p := Polynomial.induction_on' p (fun p q hp hq => by simp [hp, hq]) fun n x => by rw [eval₂_monomial, ← smul_X_eq_monomial, C_mul'] #align polynomial.eval₂_C_X Polynomial.eval₂_C_X @[simps] def eval₂AddMonoidHom : R[X] →+ S where toFun := eval₂ f x map_zero' := eval₂_zero _ _ map_add' _ _ := eval₂_add _ _ #align polynomial.eval₂_add_monoid_hom Polynomial.eval₂AddMonoidHom #align polynomial.eval₂_add_monoid_hom_apply Polynomial.eval₂AddMonoidHom_apply @[simp] theorem eval₂_natCast (n : ℕ) : (n : R[X]).eval₂ f x = n := by induction' n with n ih -- Porting note: `Nat.zero_eq` is required. · simp only [eval₂_zero, Nat.cast_zero, Nat.zero_eq] · rw [n.cast_succ, eval₂_add, ih, eval₂_one, n.cast_succ] #align polynomial.eval₂_nat_cast Polynomial.eval₂_natCast @[deprecated (since := "2024-04-17")] alias eval₂_nat_cast := eval₂_natCast -- See note [no_index around OfNat.ofNat] @[simp] lemma eval₂_ofNat {S : Type*} [Semiring S] (n : ℕ) [n.AtLeastTwo] (f : R →+* S) (a : S) : (no_index (OfNat.ofNat n : R[X])).eval₂ f a = OfNat.ofNat n := by simp [OfNat.ofNat] variable [Semiring T] theorem eval₂_sum (p : T[X]) (g : ℕ → T → R[X]) (x : S) : (p.sum g).eval₂ f x = p.sum fun n a => (g n a).eval₂ f x := by let T : R[X] →+ S := { toFun := eval₂ f x map_zero' := eval₂_zero _ _ map_add' := fun p q => eval₂_add _ _ } have A : ∀ y, eval₂ f x y = T y := fun y => rfl simp only [A] rw [sum, map_sum, sum] #align polynomial.eval₂_sum Polynomial.eval₂_sum theorem eval₂_list_sum (l : List R[X]) (x : S) : eval₂ f x l.sum = (l.map (eval₂ f x)).sum := map_list_sum (eval₂AddMonoidHom f x) l #align polynomial.eval₂_list_sum Polynomial.eval₂_list_sum theorem eval₂_multiset_sum (s : Multiset R[X]) (x : S) : eval₂ f x s.sum = (s.map (eval₂ f x)).sum := map_multiset_sum (eval₂AddMonoidHom f x) s #align polynomial.eval₂_multiset_sum Polynomial.eval₂_multiset_sum theorem eval₂_finset_sum (s : Finset ι) (g : ι → R[X]) (x : S) : (∑ i ∈ s, g i).eval₂ f x = ∑ i ∈ s, (g i).eval₂ f x := map_sum (eval₂AddMonoidHom f x) _ _ #align polynomial.eval₂_finset_sum Polynomial.eval₂_finset_sum theorem eval₂_ofFinsupp {f : R →+* S} {x : S} {p : R[ℕ]} : eval₂ f x (⟨p⟩ : R[X]) = liftNC (↑f) (powersHom S x) p := by simp only [eval₂_eq_sum, sum, toFinsupp_sum, support, coeff] rfl #align polynomial.eval₂_of_finsupp Polynomial.eval₂_ofFinsupp
Mathlib/Algebra/Polynomial/Eval.lean
184
189
theorem eval₂_mul_noncomm (hf : ∀ k, Commute (f <| q.coeff k) x) : eval₂ f x (p * q) = eval₂ f x p * eval₂ f x q := by
rcases p with ⟨p⟩; rcases q with ⟨q⟩ simp only [coeff] at hf simp only [← ofFinsupp_mul, eval₂_ofFinsupp] exact liftNC_mul _ _ p q fun {k n} _hn => (hf k).pow_right n
import Mathlib.Algebra.Field.ULift import Mathlib.Algebra.MvPolynomial.Cardinal import Mathlib.Data.Nat.Factorization.PrimePow import Mathlib.Data.Rat.Denumerable import Mathlib.FieldTheory.Finite.GaloisField import Mathlib.Logic.Equiv.TransferInstance import Mathlib.RingTheory.Localization.Cardinality import Mathlib.SetTheory.Cardinal.Divisibility #align_import field_theory.cardinality from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" local notation "‖" x "‖" => Fintype.card x open scoped Cardinal nonZeroDivisors universe u theorem Fintype.isPrimePow_card_of_field {α} [Fintype α] [Field α] : IsPrimePow ‖α‖ := by -- TODO: `Algebra` version of `CharP.exists`, of type `∀ p, Algebra (ZMod p) α` cases' CharP.exists α with p _ haveI hp := Fact.mk (CharP.char_is_prime α p) letI : Algebra (ZMod p) α := ZMod.algebra _ _ let b := IsNoetherian.finsetBasis (ZMod p) α rw [Module.card_fintype b, ZMod.card, isPrimePow_pow_iff] · exact hp.1.isPrimePow rw [← FiniteDimensional.finrank_eq_card_basis b] exact FiniteDimensional.finrank_pos.ne' #align fintype.is_prime_pow_card_of_field Fintype.isPrimePow_card_of_field
Mathlib/FieldTheory/Cardinality.lean
53
57
theorem Fintype.nonempty_field_iff {α} [Fintype α] : Nonempty (Field α) ↔ IsPrimePow ‖α‖ := by
refine ⟨fun ⟨h⟩ => Fintype.isPrimePow_card_of_field, ?_⟩ rintro ⟨p, n, hp, hn, hα⟩ haveI := Fact.mk hp.nat_prime exact ⟨(Fintype.equivOfCardEq ((GaloisField.card p n hn.ne').trans hα)).symm.field⟩
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Reverse import Mathlib.Algebra.Polynomial.Inductions import Mathlib.RingTheory.Localization.Basic #align_import data.polynomial.laurent from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86" open Polynomial Function AddMonoidAlgebra Finsupp noncomputable section variable {R : Type*} abbrev LaurentPolynomial (R : Type*) [Semiring R] := AddMonoidAlgebra R ℤ #align laurent_polynomial LaurentPolynomial @[nolint docBlame] scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R open LaurentPolynomial -- Porting note: `ext` no longer applies `Finsupp.ext` automatically @[ext] theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q := Finsupp.ext h def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] := (mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R) #align polynomial.to_laurent Polynomial.toLaurent theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) : toLaurent p = p.toFinsupp.mapDomain (↑) := rfl #align polynomial.to_laurent_apply Polynomial.toLaurent_apply def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] := (mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom #align polynomial.to_laurent_alg Polynomial.toLaurentAlg @[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] : (toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent := rfl theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f := rfl #align polynomial.to_laurent_alg_apply Polynomial.toLaurentAlg_apply namespace LaurentPolynomial section Semiring variable [Semiring R] theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) := rfl #align laurent_polynomial.single_zero_one_eq_one LaurentPolynomial.single_zero_one_eq_one def C : R →+* R[T;T⁻¹] := singleZeroRingHom set_option linter.uppercaseLean3 false in #align laurent_polynomial.C LaurentPolynomial.C theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) : algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) := rfl #align laurent_polynomial.algebra_map_apply LaurentPolynomial.algebraMap_apply theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.C_eq_algebra_map LaurentPolynomial.C_eq_algebraMap theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.single_eq_C LaurentPolynomial.single_eq_C @[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by rw [← single_eq_C, Finsupp.single_apply]; aesop def T (n : ℤ) : R[T;T⁻¹] := Finsupp.single n 1 set_option linter.uppercaseLean3 false in #align laurent_polynomial.T LaurentPolynomial.T @[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 := Finsupp.single_apply @[simp] theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_zero LaurentPolynomial.T_zero theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by -- Porting note: was `convert single_mul_single.symm` simp [T, single_mul_single] set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_add LaurentPolynomial.T_add theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by rw [← T_add, sub_eq_add_neg] set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_sub LaurentPolynomial.T_sub @[simp] theorem T_pow (m : ℤ) (n : ℕ) : (T m ^ n : R[T;T⁻¹]) = T (n * m) := by rw [T, T, single_pow n, one_pow, nsmul_eq_mul] set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_pow LaurentPolynomial.T_pow @[simp] theorem mul_T_assoc (f : R[T;T⁻¹]) (m n : ℤ) : f * T m * T n = f * T (m + n) := by simp [← T_add, mul_assoc] set_option linter.uppercaseLean3 false in #align laurent_polynomial.mul_T_assoc LaurentPolynomial.mul_T_assoc @[simp] theorem single_eq_C_mul_T (r : R) (n : ℤ) : (Finsupp.single n r : R[T;T⁻¹]) = (C r * T n : R[T;T⁻¹]) := by -- Porting note: was `convert single_mul_single.symm` simp [C, T, single_mul_single] set_option linter.uppercaseLean3 false in #align laurent_polynomial.single_eq_C_mul_T LaurentPolynomial.single_eq_C_mul_T -- This lemma locks in the right changes and is what Lean proved directly. -- The actual `simp`-normal form of a Laurent monomial is `C a * T n`, whenever it can be reached. @[simp] theorem _root_.Polynomial.toLaurent_C_mul_T (n : ℕ) (r : R) : (toLaurent (Polynomial.monomial n r) : R[T;T⁻¹]) = C r * T n := show Finsupp.mapDomain (↑) (monomial n r).toFinsupp = (C r * T n : R[T;T⁻¹]) by rw [toFinsupp_monomial, Finsupp.mapDomain_single, single_eq_C_mul_T] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_C_mul_T Polynomial.toLaurent_C_mul_T @[simp] theorem _root_.Polynomial.toLaurent_C (r : R) : toLaurent (Polynomial.C r) = C r := by convert Polynomial.toLaurent_C_mul_T 0 r simp only [Int.ofNat_zero, T_zero, mul_one] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_C Polynomial.toLaurent_C @[simp] theorem _root_.Polynomial.toLaurent_comp_C : toLaurent (R := R) ∘ Polynomial.C = C := funext Polynomial.toLaurent_C @[simp] theorem _root_.Polynomial.toLaurent_X : (toLaurent Polynomial.X : R[T;T⁻¹]) = T 1 := by have : (Polynomial.X : R[X]) = monomial 1 1 := by simp [← C_mul_X_pow_eq_monomial] simp [this, Polynomial.toLaurent_C_mul_T] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_X Polynomial.toLaurent_X -- @[simp] -- Porting note (#10618): simp can prove this theorem _root_.Polynomial.toLaurent_one : (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) 1 = 1 := map_one Polynomial.toLaurent #align polynomial.to_laurent_one Polynomial.toLaurent_one -- @[simp] -- Porting note (#10618): simp can prove this theorem _root_.Polynomial.toLaurent_C_mul_eq (r : R) (f : R[X]) : toLaurent (Polynomial.C r * f) = C r * toLaurent f := by simp only [_root_.map_mul, Polynomial.toLaurent_C] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_C_mul_eq Polynomial.toLaurent_C_mul_eq -- @[simp] -- Porting note (#10618): simp can prove this theorem _root_.Polynomial.toLaurent_X_pow (n : ℕ) : toLaurent (X ^ n : R[X]) = T n := by simp only [map_pow, Polynomial.toLaurent_X, T_pow, mul_one] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_X_pow Polynomial.toLaurent_X_pow -- @[simp] -- Porting note (#10618): simp can prove this theorem _root_.Polynomial.toLaurent_C_mul_X_pow (n : ℕ) (r : R) : toLaurent (Polynomial.C r * X ^ n) = C r * T n := by simp only [_root_.map_mul, Polynomial.toLaurent_C, Polynomial.toLaurent_X_pow] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_C_mul_X_pow Polynomial.toLaurent_C_mul_X_pow instance invertibleT (n : ℤ) : Invertible (T n : R[T;T⁻¹]) where invOf := T (-n) invOf_mul_self := by rw [← T_add, add_left_neg, T_zero] mul_invOf_self := by rw [← T_add, add_right_neg, T_zero] set_option linter.uppercaseLean3 false in #align laurent_polynomial.invertible_T LaurentPolynomial.invertibleT @[simp] theorem invOf_T (n : ℤ) : ⅟ (T n : R[T;T⁻¹]) = T (-n) := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.inv_of_T LaurentPolynomial.invOf_T theorem isUnit_T (n : ℤ) : IsUnit (T n : R[T;T⁻¹]) := isUnit_of_invertible _ set_option linter.uppercaseLean3 false in #align laurent_polynomial.is_unit_T LaurentPolynomial.isUnit_T @[elab_as_elim] protected theorem induction_on {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹]) (h_C : ∀ a, M (C a)) (h_add : ∀ {p q}, M p → M q → M (p + q)) (h_C_mul_T : ∀ (n : ℕ) (a : R), M (C a * T n) → M (C a * T (n + 1))) (h_C_mul_T_Z : ∀ (n : ℕ) (a : R), M (C a * T (-n)) → M (C a * T (-n - 1))) : M p := by have A : ∀ {n : ℤ} {a : R}, M (C a * T n) := by intro n a refine Int.induction_on n ?_ ?_ ?_ · simpa only [T_zero, mul_one] using h_C a · exact fun m => h_C_mul_T m a · exact fun m => h_C_mul_T_Z m a have B : ∀ s : Finset ℤ, M (s.sum fun n : ℤ => C (p.toFun n) * T n) := by apply Finset.induction · convert h_C 0 simp only [Finset.sum_empty, _root_.map_zero] · intro n s ns ih rw [Finset.sum_insert ns] exact h_add A ih convert B p.support ext a simp_rw [← single_eq_C_mul_T] -- Porting note: did not make progress in `simp_rw` rw [Finset.sum_apply'] simp_rw [Finsupp.single_apply, Finset.sum_ite_eq'] split_ifs with h · rfl · exact Finsupp.not_mem_support_iff.mp h #align laurent_polynomial.induction_on LaurentPolynomial.induction_on @[elab_as_elim] protected theorem induction_on' {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹]) (h_add : ∀ p q, M p → M q → M (p + q)) (h_C_mul_T : ∀ (n : ℤ) (a : R), M (C a * T n)) : M p := by refine p.induction_on (fun a => ?_) (fun {p q} => h_add p q) ?_ ?_ <;> try exact fun n f _ => h_C_mul_T _ f convert h_C_mul_T 0 a exact (mul_one _).symm #align laurent_polynomial.induction_on' LaurentPolynomial.induction_on' theorem commute_T (n : ℤ) (f : R[T;T⁻¹]) : Commute (T n) f := f.induction_on' (fun p q Tp Tq => Commute.add_right Tp Tq) fun m a => show T n * _ = _ by rw [T, T, ← single_eq_C, single_mul_single, single_mul_single, single_mul_single] simp [add_comm] set_option linter.uppercaseLean3 false in #align laurent_polynomial.commute_T LaurentPolynomial.commute_T @[simp] theorem T_mul (n : ℤ) (f : R[T;T⁻¹]) : T n * f = f * T n := (commute_T n f).eq set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_mul LaurentPolynomial.T_mul def trunc : R[T;T⁻¹] →+ R[X] := (toFinsuppIso R).symm.toAddMonoidHom.comp <| comapDomain.addMonoidHom fun _ _ => Int.ofNat.inj #align laurent_polynomial.trunc LaurentPolynomial.trunc @[simp] theorem trunc_C_mul_T (n : ℤ) (r : R) : trunc (C r * T n) = ite (0 ≤ n) (monomial n.toNat r) 0 := by apply (toFinsuppIso R).injective rw [← single_eq_C_mul_T, trunc, AddMonoidHom.coe_comp, Function.comp_apply] -- Porting note (#10691): was `rw` erw [comapDomain.addMonoidHom_apply Int.ofNat_injective] rw [toFinsuppIso_apply] -- Porting note: rewrote proof below relative to mathlib3. by_cases n0 : 0 ≤ n · lift n to ℕ using n0 erw [comapDomain_single] simp only [Nat.cast_nonneg, Int.toNat_ofNat, ite_true, toFinsupp_monomial] · lift -n to ℕ using (neg_pos.mpr (not_le.mp n0)).le with m rw [toFinsupp_inj, if_neg n0] ext a have := ((not_le.mp n0).trans_le (Int.ofNat_zero_le a)).ne simp only [coeff_ofFinsupp, comapDomain_apply, Int.ofNat_eq_coe, coeff_zero, single_eq_of_ne this] set_option linter.uppercaseLean3 false in #align laurent_polynomial.trunc_C_mul_T LaurentPolynomial.trunc_C_mul_T @[simp] theorem leftInverse_trunc_toLaurent : Function.LeftInverse (trunc : R[T;T⁻¹] → R[X]) Polynomial.toLaurent := by refine fun f => f.induction_on' ?_ ?_ · intro f g hf hg simp only [hf, hg, _root_.map_add] · intro n r simp only [Polynomial.toLaurent_C_mul_T, trunc_C_mul_T, Int.natCast_nonneg, Int.toNat_natCast, if_true] #align laurent_polynomial.left_inverse_trunc_to_laurent LaurentPolynomial.leftInverse_trunc_toLaurent @[simp] theorem _root_.Polynomial.trunc_toLaurent (f : R[X]) : trunc (toLaurent f) = f := leftInverse_trunc_toLaurent _ #align polynomial.trunc_to_laurent Polynomial.trunc_toLaurent theorem _root_.Polynomial.toLaurent_injective : Function.Injective (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) := leftInverse_trunc_toLaurent.injective #align polynomial.to_laurent_injective Polynomial.toLaurent_injective @[simp] theorem _root_.Polynomial.toLaurent_inj (f g : R[X]) : toLaurent f = toLaurent g ↔ f = g := ⟨fun h => Polynomial.toLaurent_injective h, congr_arg _⟩ #align polynomial.to_laurent_inj Polynomial.toLaurent_inj theorem _root_.Polynomial.toLaurent_ne_zero {f : R[X]} : f ≠ 0 ↔ toLaurent f ≠ 0 := (map_ne_zero_iff _ Polynomial.toLaurent_injective).symm #align polynomial.to_laurent_ne_zero Polynomial.toLaurent_ne_zero theorem exists_T_pow (f : R[T;T⁻¹]) : ∃ (n : ℕ) (f' : R[X]), toLaurent f' = f * T n := by refine f.induction_on' ?_ fun n a => ?_ <;> clear f · rintro f g ⟨m, fn, hf⟩ ⟨n, gn, hg⟩ refine ⟨m + n, fn * X ^ n + gn * X ^ m, ?_⟩ simp only [hf, hg, add_mul, add_comm (n : ℤ), map_add, map_mul, Polynomial.toLaurent_X_pow, mul_T_assoc, Int.ofNat_add] · cases' n with n n · exact ⟨0, Polynomial.C a * X ^ n, by simp⟩ · refine ⟨n + 1, Polynomial.C a, ?_⟩ simp only [Int.negSucc_eq, Polynomial.toLaurent_C, Int.ofNat_succ, mul_T_assoc, add_left_neg, T_zero, mul_one] set_option linter.uppercaseLean3 false in #align laurent_polynomial.exists_T_pow LaurentPolynomial.exists_T_pow @[elab_as_elim] theorem induction_on_mul_T {Q : R[T;T⁻¹] → Prop} (f : R[T;T⁻¹]) (Qf : ∀ {f : R[X]} {n : ℕ}, Q (toLaurent f * T (-n))) : Q f := by rcases f.exists_T_pow with ⟨n, f', hf⟩ rw [← mul_one f, ← T_zero, ← Nat.cast_zero, ← Nat.sub_self n, Nat.cast_sub rfl.le, T_sub, ← mul_assoc, ← hf] exact Qf set_option linter.uppercaseLean3 false in #align laurent_polynomial.induction_on_mul_T LaurentPolynomial.induction_on_mul_T theorem reduce_to_polynomial_of_mul_T (f : R[T;T⁻¹]) {Q : R[T;T⁻¹] → Prop} (Qf : ∀ f : R[X], Q (toLaurent f)) (QT : ∀ f, Q (f * T 1) → Q f) : Q f := by induction' f using LaurentPolynomial.induction_on_mul_T with f n induction' n with n hn · simpa only [Nat.zero_eq, Nat.cast_zero, neg_zero, T_zero, mul_one] using Qf _ · convert QT _ _ simpa using hn set_option linter.uppercaseLean3 false in #align laurent_polynomial.reduce_to_polynomial_of_mul_T LaurentPolynomial.reduce_to_polynomial_of_mul_T section Degrees def degree (f : R[T;T⁻¹]) : WithBot ℤ := f.support.max #align laurent_polynomial.degree LaurentPolynomial.degree @[simp] theorem degree_zero : degree (0 : R[T;T⁻¹]) = ⊥ := rfl #align laurent_polynomial.degree_zero LaurentPolynomial.degree_zero @[simp] theorem degree_eq_bot_iff {f : R[T;T⁻¹]} : f.degree = ⊥ ↔ f = 0 := by refine ⟨fun h => ?_, fun h => by rw [h, degree_zero]⟩ rw [degree, Finset.max_eq_sup_withBot] at h ext n refine not_not.mp fun f0 => ?_ simp_rw [Finset.sup_eq_bot_iff, Finsupp.mem_support_iff, Ne, WithBot.coe_ne_bot] at h exact h n f0 #align laurent_polynomial.degree_eq_bot_iff LaurentPolynomial.degree_eq_bot_iff section ExactDegrees @[simp] theorem degree_C_mul_T (n : ℤ) (a : R) (a0 : a ≠ 0) : degree (C a * T n) = n := by rw [degree] -- Porting note: was `convert Finset.max_singleton` have : Finsupp.support (C a * T n) = {n} := by refine support_eq_singleton.mpr ?_ rw [← single_eq_C_mul_T] simp only [single_eq_same, a0, Ne, not_false_iff, eq_self_iff_true, and_self_iff] rw [this] exact Finset.max_singleton set_option linter.uppercaseLean3 false in #align laurent_polynomial.degree_C_mul_T LaurentPolynomial.degree_C_mul_T theorem degree_C_mul_T_ite [DecidableEq R] (n : ℤ) (a : R) : degree (C a * T n) = if a = 0 then ⊥ else ↑n := by split_ifs with h <;> simp only [h, map_zero, zero_mul, degree_zero, degree_C_mul_T, Ne, not_false_iff] set_option linter.uppercaseLean3 false in #align laurent_polynomial.degree_C_mul_T_ite LaurentPolynomial.degree_C_mul_T_ite @[simp]
Mathlib/Algebra/Polynomial/Laurent.lean
531
533
theorem degree_T [Nontrivial R] (n : ℤ) : (T n : R[T;T⁻¹]).degree = n := by
rw [← one_mul (T n), ← map_one C] exact degree_C_mul_T n 1 (one_ne_zero : (1 : R) ≠ 0)
import Mathlib.Topology.ContinuousOn import Mathlib.Data.Set.BoolIndicator open Set Filter Topology TopologicalSpace Classical universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Clopen protected theorem IsClopen.isOpen (hs : IsClopen s) : IsOpen s := hs.2 #align is_clopen.is_open IsClopen.isOpen protected theorem IsClopen.isClosed (hs : IsClopen s) : IsClosed s := hs.1 #align is_clopen.is_closed IsClopen.isClosed
Mathlib/Topology/Clopen.lean
30
34
theorem isClopen_iff_frontier_eq_empty : IsClopen s ↔ frontier s = ∅ := by
rw [IsClopen, ← closure_eq_iff_isClosed, ← interior_eq_iff_isOpen, frontier, diff_eq_empty] refine ⟨fun h => (h.1.trans h.2.symm).subset, fun h => ?_⟩ exact ⟨(h.trans interior_subset).antisymm subset_closure, interior_subset.antisymm (subset_closure.trans h)⟩
import Mathlib.Data.List.Forall2 import Mathlib.Data.Set.Pairwise.Basic import Mathlib.Init.Data.Fin.Basic #align_import data.list.nodup from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" universe u v open Nat Function variable {α : Type u} {β : Type v} {l l₁ l₂ : List α} {r : α → α → Prop} {a b : α} namespace List @[simp] theorem forall_mem_ne {a : α} {l : List α} : (∀ a' : α, a' ∈ l → ¬a = a') ↔ a ∉ l := ⟨fun h m => h _ m rfl, fun h _ m e => h (e.symm ▸ m)⟩ #align list.forall_mem_ne List.forall_mem_ne @[simp] theorem nodup_nil : @Nodup α [] := Pairwise.nil #align list.nodup_nil List.nodup_nil @[simp] theorem nodup_cons {a : α} {l : List α} : Nodup (a :: l) ↔ a ∉ l ∧ Nodup l := by simp only [Nodup, pairwise_cons, forall_mem_ne] #align list.nodup_cons List.nodup_cons protected theorem Pairwise.nodup {l : List α} {r : α → α → Prop} [IsIrrefl α r] (h : Pairwise r l) : Nodup l := h.imp ne_of_irrefl #align list.pairwise.nodup List.Pairwise.nodup theorem rel_nodup {r : α → β → Prop} (hr : Relator.BiUnique r) : (Forall₂ r ⇒ (· ↔ ·)) Nodup Nodup | _, _, Forall₂.nil => by simp only [nodup_nil] | _, _, Forall₂.cons hab h => by simpa only [nodup_cons] using Relator.rel_and (Relator.rel_not (rel_mem hr hab h)) (rel_nodup hr h) #align list.rel_nodup List.rel_nodup protected theorem Nodup.cons (ha : a ∉ l) (hl : Nodup l) : Nodup (a :: l) := nodup_cons.2 ⟨ha, hl⟩ #align list.nodup.cons List.Nodup.cons theorem nodup_singleton (a : α) : Nodup [a] := pairwise_singleton _ _ #align list.nodup_singleton List.nodup_singleton theorem Nodup.of_cons (h : Nodup (a :: l)) : Nodup l := (nodup_cons.1 h).2 #align list.nodup.of_cons List.Nodup.of_cons theorem Nodup.not_mem (h : (a :: l).Nodup) : a ∉ l := (nodup_cons.1 h).1 #align list.nodup.not_mem List.Nodup.not_mem theorem not_nodup_cons_of_mem : a ∈ l → ¬Nodup (a :: l) := imp_not_comm.1 Nodup.not_mem #align list.not_nodup_cons_of_mem List.not_nodup_cons_of_mem protected theorem Nodup.sublist : l₁ <+ l₂ → Nodup l₂ → Nodup l₁ := Pairwise.sublist #align list.nodup.sublist List.Nodup.sublist theorem not_nodup_pair (a : α) : ¬Nodup [a, a] := not_nodup_cons_of_mem <| mem_singleton_self _ #align list.not_nodup_pair List.not_nodup_pair theorem nodup_iff_sublist {l : List α} : Nodup l ↔ ∀ a, ¬[a, a] <+ l := ⟨fun d a h => not_nodup_pair a (d.sublist h), by induction' l with a l IH <;> intro h; · exact nodup_nil exact (IH fun a s => h a <| sublist_cons_of_sublist _ s).cons fun al => h a <| (singleton_sublist.2 al).cons_cons _⟩ #align list.nodup_iff_sublist List.nodup_iff_sublist -- Porting note (#10756): new theorem theorem nodup_iff_injective_get {l : List α} : Nodup l ↔ Function.Injective l.get := pairwise_iff_get.trans ⟨fun h i j hg => by cases' i with i hi; cases' j with j hj rcases lt_trichotomy i j with (hij | rfl | hji) · exact (h ⟨i, hi⟩ ⟨j, hj⟩ hij hg).elim · rfl · exact (h ⟨j, hj⟩ ⟨i, hi⟩ hji hg.symm).elim, fun hinj i j hij h => Nat.ne_of_lt hij (Fin.val_eq_of_eq (hinj h))⟩ set_option linter.deprecated false in @[deprecated nodup_iff_injective_get (since := "2023-01-10")] theorem nodup_iff_nthLe_inj {l : List α} : Nodup l ↔ ∀ i j h₁ h₂, nthLe l i h₁ = nthLe l j h₂ → i = j := nodup_iff_injective_get.trans ⟨fun hinj _ _ _ _ h => congr_arg Fin.val (hinj h), fun hinj i j h => Fin.eq_of_veq (hinj i j i.2 j.2 h)⟩ #align list.nodup_iff_nth_le_inj List.nodup_iff_nthLe_inj theorem Nodup.get_inj_iff {l : List α} (h : Nodup l) {i j : Fin l.length} : l.get i = l.get j ↔ i = j := (nodup_iff_injective_get.1 h).eq_iff set_option linter.deprecated false in @[deprecated Nodup.get_inj_iff (since := "2023-01-10")] theorem Nodup.nthLe_inj_iff {l : List α} (h : Nodup l) {i j : ℕ} (hi : i < l.length) (hj : j < l.length) : l.nthLe i hi = l.nthLe j hj ↔ i = j := ⟨nodup_iff_nthLe_inj.mp h _ _ _ _, by simp (config := { contextual := true })⟩ #align list.nodup.nth_le_inj_iff List.Nodup.nthLe_inj_iff theorem nodup_iff_get?_ne_get? {l : List α} : l.Nodup ↔ ∀ i j : ℕ, i < j → j < l.length → l.get? i ≠ l.get? j := by rw [Nodup, pairwise_iff_get] constructor · intro h i j hij hj rw [get?_eq_get (lt_trans hij hj), get?_eq_get hj, Ne, Option.some_inj] exact h _ _ hij · intro h i j hij rw [Ne, ← Option.some_inj, ← get?_eq_get, ← get?_eq_get] exact h i j hij j.2 #align list.nodup_iff_nth_ne_nth List.nodup_iff_get?_ne_get? theorem Nodup.ne_singleton_iff {l : List α} (h : Nodup l) (x : α) : l ≠ [x] ↔ l = [] ∨ ∃ y ∈ l, y ≠ x := by induction' l with hd tl hl · simp · specialize hl h.of_cons by_cases hx : tl = [x] · simpa [hx, and_comm, and_or_left] using h · rw [← Ne, hl] at hx rcases hx with (rfl | ⟨y, hy, hx⟩) · simp · suffices ∃ y ∈ hd :: tl, y ≠ x by simpa [ne_nil_of_mem hy] exact ⟨y, mem_cons_of_mem _ hy, hx⟩ #align list.nodup.ne_singleton_iff List.Nodup.ne_singleton_iff theorem not_nodup_of_get_eq_of_ne (xs : List α) (n m : Fin xs.length) (h : xs.get n = xs.get m) (hne : n ≠ m) : ¬Nodup xs := by rw [nodup_iff_injective_get] exact fun hinj => hne (hinj h) #align list.nth_le_eq_of_ne_imp_not_nodup List.not_nodup_of_get_eq_of_ne -- Porting note (#10756): new theorem theorem get_indexOf [DecidableEq α] {l : List α} (H : Nodup l) (i : Fin l.length) : indexOf (get l i) l = i := suffices (⟨indexOf (get l i) l, indexOf_lt_length.2 (get_mem _ _ _)⟩ : Fin l.length) = i from Fin.val_eq_of_eq this nodup_iff_injective_get.1 H (by simp) #align list.nth_le_index_of List.get_indexOf theorem nodup_iff_count_le_one [DecidableEq α] {l : List α} : Nodup l ↔ ∀ a, count a l ≤ 1 := nodup_iff_sublist.trans <| forall_congr' fun a => have : replicate 2 a <+ l ↔ 1 < count a l := (le_count_iff_replicate_sublist ..).symm (not_congr this).trans not_lt #align list.nodup_iff_count_le_one List.nodup_iff_count_le_one theorem nodup_iff_count_eq_one [DecidableEq α] : Nodup l ↔ ∀ a ∈ l, count a l = 1 := nodup_iff_count_le_one.trans <| forall_congr' fun _ => ⟨fun H h => H.antisymm (count_pos_iff_mem.mpr h), fun H => if h : _ then (H h).le else (count_eq_zero.mpr h).trans_le (Nat.zero_le 1)⟩ theorem nodup_replicate (a : α) : ∀ {n : ℕ}, Nodup (replicate n a) ↔ n ≤ 1 | 0 => by simp [Nat.zero_le] | 1 => by simp | n + 2 => iff_of_false (fun H => nodup_iff_sublist.1 H a ((replicate_sublist_replicate _).2 (Nat.le_add_left 2 n))) (not_le_of_lt <| Nat.le_add_left 2 n) #align list.nodup_replicate List.nodup_replicate @[simp] theorem count_eq_one_of_mem [DecidableEq α] {a : α} {l : List α} (d : Nodup l) (h : a ∈ l) : count a l = 1 := _root_.le_antisymm (nodup_iff_count_le_one.1 d a) (Nat.succ_le_of_lt (count_pos_iff_mem.2 h)) #align list.count_eq_one_of_mem List.count_eq_one_of_mem theorem count_eq_of_nodup [DecidableEq α] {a : α} {l : List α} (d : Nodup l) : count a l = if a ∈ l then 1 else 0 := by split_ifs with h · exact count_eq_one_of_mem d h · exact count_eq_zero_of_not_mem h #align list.count_eq_of_nodup List.count_eq_of_nodup theorem Nodup.of_append_left : Nodup (l₁ ++ l₂) → Nodup l₁ := Nodup.sublist (sublist_append_left l₁ l₂) #align list.nodup.of_append_left List.Nodup.of_append_left theorem Nodup.of_append_right : Nodup (l₁ ++ l₂) → Nodup l₂ := Nodup.sublist (sublist_append_right l₁ l₂) #align list.nodup.of_append_right List.Nodup.of_append_right
Mathlib/Data/List/Nodup.lean
206
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theorem nodup_append {l₁ l₂ : List α} : Nodup (l₁ ++ l₂) ↔ Nodup l₁ ∧ Nodup l₂ ∧ Disjoint l₁ l₂ := by
simp only [Nodup, pairwise_append, disjoint_iff_ne]
import Mathlib.Analysis.Normed.Group.Seminorm import Mathlib.Order.LiminfLimsup import Mathlib.Topology.Instances.Rat import Mathlib.Topology.MetricSpace.Algebra import Mathlib.Topology.MetricSpace.IsometricSMul import Mathlib.Topology.Sequences #align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01" variable {𝓕 𝕜 α ι κ E F G : Type*} open Filter Function Metric Bornology open ENNReal Filter NNReal Uniformity Pointwise Topology @[notation_class] class Norm (E : Type*) where norm : E → ℝ #align has_norm Norm @[notation_class] class NNNorm (E : Type*) where nnnorm : E → ℝ≥0 #align has_nnnorm NNNorm export Norm (norm) export NNNorm (nnnorm) @[inherit_doc] notation "‖" e "‖" => norm e @[inherit_doc] notation "‖" e "‖₊" => nnnorm e class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_group SeminormedAddGroup @[to_additive] class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_group SeminormedGroup class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_group NormedAddGroup @[to_additive] class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_group NormedGroup class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_comm_group SeminormedAddCommGroup @[to_additive] class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_comm_group SeminormedCommGroup class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_comm_group NormedAddCommGroup @[to_additive] class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_comm_group NormedCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E := { ‹NormedGroup E› with } #align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup #align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] : SeminormedCommGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup #align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] : SeminormedGroup E := { ‹SeminormedCommGroup E› with } #align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup #align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup #align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddGroup` instance as a special case of a more general `SeminormedAddGroup` instance."] def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedGroup E where dist_eq := ‹SeminormedGroup E›.dist_eq toMetricSpace := { eq_of_dist_eq_zero := fun hxy => div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy } -- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term. -- however, notice that if you make `x` and `y` accessible, then the following does work: -- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa` -- was broken. #align normed_group.of_separation NormedGroup.ofSeparation #align normed_add_group.of_separation NormedAddGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a `SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case of a more general `SeminormedAddCommGroup` instance."] def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedCommGroup E := { ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with } #align normed_comm_group.of_separation NormedCommGroup.ofSeparation #align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant distance."] def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y #align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist #align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ #align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist' #align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist #align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist' #align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant distance."] def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist NormedGroup.ofMulDist #align normed_add_group.of_add_dist NormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist' NormedGroup.ofMulDist' #align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedCommGroup E := { NormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist #align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedCommGroup E := { NormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist' #align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where dist x y := f (x / y) norm := f dist_eq x y := rfl dist_self x := by simp only [div_self', map_one_eq_zero] dist_triangle := le_map_div_add_map_div f dist_comm := map_div_rev f edist_dist x y := by exact ENNReal.coe_nnreal_eq _ -- Porting note: how did `mathlib3` solve this automatically? #align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup #align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) : SeminormedCommGroup E := { f.toSeminormedGroup with mul_comm := mul_comm } #align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup #align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E := { f.toGroupSeminorm.toSeminormedGroup with eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h } #align group_norm.to_normed_group GroupNorm.toNormedGroup #align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E := { f.toNormedGroup with mul_comm := mul_comm } #align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup #align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where norm := Function.const _ 0 dist_eq _ _ := rfl @[simp] theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 := rfl #align punit.norm_eq_zero PUnit.norm_eq_zero section SeminormedGroup variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E} {a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ} @[to_additive] theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ := SeminormedGroup.dist_eq _ _ #align dist_eq_norm_div dist_eq_norm_div #align dist_eq_norm_sub dist_eq_norm_sub @[to_additive] theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div] #align dist_eq_norm_div' dist_eq_norm_div' #align dist_eq_norm_sub' dist_eq_norm_sub' alias dist_eq_norm := dist_eq_norm_sub #align dist_eq_norm dist_eq_norm alias dist_eq_norm' := dist_eq_norm_sub' #align dist_eq_norm' dist_eq_norm' @[to_additive] instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E := ⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩ #align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right #align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right @[to_additive (attr := simp)] theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one] #align dist_one_right dist_one_right #align dist_zero_right dist_zero_right @[to_additive]
Mathlib/Analysis/Normed/Group/Basic.lean
429
430
theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by
rw [Metric.inseparable_iff, dist_one_right]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Fintype.Card #align_import data.multiset.fintype from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d" variable {α : Type*} [DecidableEq α] {m : Multiset α} def Multiset.ToType (m : Multiset α) : Type _ := (x : α) × Fin (m.count x) #align multiset.to_type Multiset.ToType instance : CoeSort (Multiset α) (Type _) := ⟨Multiset.ToType⟩ example : DecidableEq m := inferInstanceAs <| DecidableEq ((x : α) × Fin (m.count x)) -- Porting note: syntactic equality #noalign multiset.coe_sort_eq @[reducible, match_pattern] def Multiset.mkToType (m : Multiset α) (x : α) (i : Fin (m.count x)) : m := ⟨x, i⟩ #align multiset.mk_to_type Multiset.mkToType instance instCoeSortMultisetType.instCoeOutToType : CoeOut m α := ⟨fun x ↦ x.1⟩ #align multiset.has_coe_to_sort.has_coe instCoeSortMultisetType.instCoeOutToTypeₓ -- Porting note: syntactic equality #noalign multiset.fst_coe_eq_coe -- Syntactic equality #noalign multiset.coe_eq -- @[simp] -- Porting note (#10685): dsimp can prove this theorem Multiset.coe_mk {x : α} {i : Fin (m.count x)} : ↑(m.mkToType x i) = x := rfl #align multiset.coe_mk Multiset.coe_mk @[simp] lemma Multiset.coe_mem {x : m} : ↑x ∈ m := Multiset.count_pos.mp (by have := x.2.2; omega) #align multiset.coe_mem Multiset.coe_mem @[simp] protected theorem Multiset.forall_coe (p : m → Prop) : (∀ x : m, p x) ↔ ∀ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ := Sigma.forall #align multiset.forall_coe Multiset.forall_coe @[simp] protected theorem Multiset.exists_coe (p : m → Prop) : (∃ x : m, p x) ↔ ∃ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ := Sigma.exists #align multiset.exists_coe Multiset.exists_coe instance : Fintype { p : α × ℕ | p.2 < m.count p.1 } := Fintype.ofFinset (m.toFinset.biUnion fun x ↦ (Finset.range (m.count x)).map ⟨Prod.mk x, Prod.mk.inj_left x⟩) (by rintro ⟨x, i⟩ simp only [Finset.mem_biUnion, Multiset.mem_toFinset, Finset.mem_map, Finset.mem_range, Function.Embedding.coeFn_mk, Prod.mk.inj_iff, Set.mem_setOf_eq] simp only [← and_assoc, exists_eq_right, and_iff_right_iff_imp] exact fun h ↦ Multiset.count_pos.mp (by omega)) def Multiset.toEnumFinset (m : Multiset α) : Finset (α × ℕ) := { p : α × ℕ | p.2 < m.count p.1 }.toFinset #align multiset.to_enum_finset Multiset.toEnumFinset @[simp] theorem Multiset.mem_toEnumFinset (m : Multiset α) (p : α × ℕ) : p ∈ m.toEnumFinset ↔ p.2 < m.count p.1 := Set.mem_toFinset #align multiset.mem_to_enum_finset Multiset.mem_toEnumFinset theorem Multiset.mem_of_mem_toEnumFinset {p : α × ℕ} (h : p ∈ m.toEnumFinset) : p.1 ∈ m := have := (m.mem_toEnumFinset p).mp h; Multiset.count_pos.mp (by omega) #align multiset.mem_of_mem_to_enum_finset Multiset.mem_of_mem_toEnumFinset @[mono] theorem Multiset.toEnumFinset_mono {m₁ m₂ : Multiset α} (h : m₁ ≤ m₂) : m₁.toEnumFinset ⊆ m₂.toEnumFinset := by intro p simp only [Multiset.mem_toEnumFinset] exact gt_of_ge_of_gt (Multiset.le_iff_count.mp h p.1) #align multiset.to_enum_finset_mono Multiset.toEnumFinset_mono @[simp] theorem Multiset.toEnumFinset_subset_iff {m₁ m₂ : Multiset α} : m₁.toEnumFinset ⊆ m₂.toEnumFinset ↔ m₁ ≤ m₂ := by refine ⟨fun h ↦ ?_, Multiset.toEnumFinset_mono⟩ rw [Multiset.le_iff_count] intro x by_cases hx : x ∈ m₁ · apply Nat.le_of_pred_lt have : (x, m₁.count x - 1) ∈ m₁.toEnumFinset := by rw [Multiset.mem_toEnumFinset] exact Nat.pred_lt (ne_of_gt (Multiset.count_pos.mpr hx)) simpa only [Multiset.mem_toEnumFinset] using h this · simp [hx] #align multiset.to_enum_finset_subset_iff Multiset.toEnumFinset_subset_iff @[simps] def Multiset.coeEmbedding (m : Multiset α) : m ↪ α × ℕ where toFun x := (x, x.2) inj' := by intro ⟨x, i, hi⟩ ⟨y, j, hj⟩ rintro ⟨⟩ rfl #align multiset.coe_embedding Multiset.coeEmbedding @[simps] def Multiset.coeEquiv (m : Multiset α) : m ≃ m.toEnumFinset where toFun x := ⟨m.coeEmbedding x, by rw [Multiset.mem_toEnumFinset] exact x.2.2⟩ invFun x := ⟨x.1.1, x.1.2, by rw [← Multiset.mem_toEnumFinset] exact x.2⟩ left_inv := by rintro ⟨x, i, h⟩ rfl right_inv := by rintro ⟨⟨x, i⟩, h⟩ rfl #align multiset.coe_equiv Multiset.coeEquiv @[simp] theorem Multiset.toEmbedding_coeEquiv_trans (m : Multiset α) : m.coeEquiv.toEmbedding.trans (Function.Embedding.subtype _) = m.coeEmbedding := by ext <;> rfl #align multiset.to_embedding_coe_equiv_trans Multiset.toEmbedding_coeEquiv_trans @[irreducible] instance Multiset.fintypeCoe : Fintype m := Fintype.ofEquiv m.toEnumFinset m.coeEquiv.symm #align multiset.fintype_coe Multiset.fintypeCoe
Mathlib/Data/Multiset/Fintype.lean
185
191
theorem Multiset.map_univ_coeEmbedding (m : Multiset α) : (Finset.univ : Finset m).map m.coeEmbedding = m.toEnumFinset := by
ext ⟨x, i⟩ simp only [Fin.exists_iff, Finset.mem_map, Finset.mem_univ, Multiset.coeEmbedding_apply, Prod.mk.inj_iff, exists_true_left, Multiset.exists_coe, Multiset.coe_mk, Fin.val_mk, exists_prop, exists_eq_right_right, exists_eq_right, Multiset.mem_toEnumFinset, iff_self_iff, true_and_iff]
import Mathlib.Data.Set.Prod #align_import data.set.n_ary from "leanprover-community/mathlib"@"5e526d18cea33550268dcbbddcb822d5cde40654" open Function namespace Set variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} {f f' : α → β → γ} {g g' : α → β → γ → δ} variable {s s' : Set α} {t t' : Set β} {u u' : Set γ} {v : Set δ} {a a' : α} {b b' : β} {c c' : γ} {d d' : δ} theorem mem_image2_iff (hf : Injective2 f) : f a b ∈ image2 f s t ↔ a ∈ s ∧ b ∈ t := ⟨by rintro ⟨a', ha', b', hb', h⟩ rcases hf h with ⟨rfl, rfl⟩ exact ⟨ha', hb'⟩, fun ⟨ha, hb⟩ => mem_image2_of_mem ha hb⟩ #align set.mem_image2_iff Set.mem_image2_iff theorem image2_subset (hs : s ⊆ s') (ht : t ⊆ t') : image2 f s t ⊆ image2 f s' t' := by rintro _ ⟨a, ha, b, hb, rfl⟩ exact mem_image2_of_mem (hs ha) (ht hb) #align set.image2_subset Set.image2_subset theorem image2_subset_left (ht : t ⊆ t') : image2 f s t ⊆ image2 f s t' := image2_subset Subset.rfl ht #align set.image2_subset_left Set.image2_subset_left theorem image2_subset_right (hs : s ⊆ s') : image2 f s t ⊆ image2 f s' t := image2_subset hs Subset.rfl #align set.image2_subset_right Set.image2_subset_right theorem image_subset_image2_left (hb : b ∈ t) : (fun a => f a b) '' s ⊆ image2 f s t := forall_mem_image.2 fun _ ha => mem_image2_of_mem ha hb #align set.image_subset_image2_left Set.image_subset_image2_left theorem image_subset_image2_right (ha : a ∈ s) : f a '' t ⊆ image2 f s t := forall_mem_image.2 fun _ => mem_image2_of_mem ha #align set.image_subset_image2_right Set.image_subset_image2_right theorem forall_image2_iff {p : γ → Prop} : (∀ z ∈ image2 f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := ⟨fun h x hx y hy => h _ ⟨x, hx, y, hy, rfl⟩, fun h _ ⟨x, hx, y, hy, hz⟩ => hz ▸ h x hx y hy⟩ #align set.forall_image2_iff Set.forall_image2_iff @[simp] theorem image2_subset_iff {u : Set γ} : image2 f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u := forall_image2_iff #align set.image2_subset_iff Set.image2_subset_iff theorem image2_subset_iff_left : image2 f s t ⊆ u ↔ ∀ a ∈ s, (fun b => f a b) '' t ⊆ u := by simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage] #align set.image2_subset_iff_left Set.image2_subset_iff_left theorem image2_subset_iff_right : image2 f s t ⊆ u ↔ ∀ b ∈ t, (fun a => f a b) '' s ⊆ u := by simp_rw [image2_subset_iff, image_subset_iff, subset_def, mem_preimage, @forall₂_swap α] #align set.image2_subset_iff_right Set.image2_subset_iff_right variable (f) -- Porting note: Removing `simp` - LHS does not simplify lemma image_prod : (fun x : α × β ↦ f x.1 x.2) '' s ×ˢ t = image2 f s t := ext fun _ ↦ by simp [and_assoc] #align set.image_prod Set.image_prod @[simp] lemma image_uncurry_prod (s : Set α) (t : Set β) : uncurry f '' s ×ˢ t = image2 f s t := image_prod _ #align set.image_uncurry_prod Set.image_uncurry_prod @[simp] lemma image2_mk_eq_prod : image2 Prod.mk s t = s ×ˢ t := ext <| by simp #align set.image2_mk_eq_prod Set.image2_mk_eq_prod -- Porting note: Removing `simp` - LHS does not simplify lemma image2_curry (f : α × β → γ) (s : Set α) (t : Set β) : image2 (fun a b ↦ f (a, b)) s t = f '' s ×ˢ t := by simp [← image_uncurry_prod, uncurry] #align set.image2_curry Set.image2_curry theorem image2_swap (s : Set α) (t : Set β) : image2 f s t = image2 (fun a b => f b a) t s := by ext constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨b, hb, a, ha, rfl⟩ #align set.image2_swap Set.image2_swap variable {f} theorem image2_union_left : image2 f (s ∪ s') t = image2 f s t ∪ image2 f s' t := by simp_rw [← image_prod, union_prod, image_union] #align set.image2_union_left Set.image2_union_left theorem image2_union_right : image2 f s (t ∪ t') = image2 f s t ∪ image2 f s t' := by rw [← image2_swap, image2_union_left, image2_swap f, image2_swap f] #align set.image2_union_right Set.image2_union_right lemma image2_inter_left (hf : Injective2 f) : image2 f (s ∩ s') t = image2 f s t ∩ image2 f s' t := by simp_rw [← image_uncurry_prod, inter_prod, image_inter hf.uncurry] #align set.image2_inter_left Set.image2_inter_left lemma image2_inter_right (hf : Injective2 f) : image2 f s (t ∩ t') = image2 f s t ∩ image2 f s t' := by simp_rw [← image_uncurry_prod, prod_inter, image_inter hf.uncurry] #align set.image2_inter_right Set.image2_inter_right @[simp] theorem image2_empty_left : image2 f ∅ t = ∅ := ext <| by simp #align set.image2_empty_left Set.image2_empty_left @[simp] theorem image2_empty_right : image2 f s ∅ = ∅ := ext <| by simp #align set.image2_empty_right Set.image2_empty_right theorem Nonempty.image2 : s.Nonempty → t.Nonempty → (image2 f s t).Nonempty := fun ⟨_, ha⟩ ⟨_, hb⟩ => ⟨_, mem_image2_of_mem ha hb⟩ #align set.nonempty.image2 Set.Nonempty.image2 @[simp] theorem image2_nonempty_iff : (image2 f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := ⟨fun ⟨_, a, ha, b, hb, _⟩ => ⟨⟨a, ha⟩, b, hb⟩, fun h => h.1.image2 h.2⟩ #align set.image2_nonempty_iff Set.image2_nonempty_iff theorem Nonempty.of_image2_left (h : (Set.image2 f s t).Nonempty) : s.Nonempty := (image2_nonempty_iff.1 h).1 #align set.nonempty.of_image2_left Set.Nonempty.of_image2_left theorem Nonempty.of_image2_right (h : (Set.image2 f s t).Nonempty) : t.Nonempty := (image2_nonempty_iff.1 h).2 #align set.nonempty.of_image2_right Set.Nonempty.of_image2_right @[simp] theorem image2_eq_empty_iff : image2 f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by rw [← not_nonempty_iff_eq_empty, image2_nonempty_iff, not_and_or] simp [not_nonempty_iff_eq_empty] #align set.image2_eq_empty_iff Set.image2_eq_empty_iff theorem Subsingleton.image2 (hs : s.Subsingleton) (ht : t.Subsingleton) (f : α → β → γ) : (image2 f s t).Subsingleton := by rw [← image_prod] apply (hs.prod ht).image theorem image2_inter_subset_left : image2 f (s ∩ s') t ⊆ image2 f s t ∩ image2 f s' t := Monotone.map_inf_le (fun _ _ ↦ image2_subset_right) s s' #align set.image2_inter_subset_left Set.image2_inter_subset_left theorem image2_inter_subset_right : image2 f s (t ∩ t') ⊆ image2 f s t ∩ image2 f s t' := Monotone.map_inf_le (fun _ _ ↦ image2_subset_left) t t' #align set.image2_inter_subset_right Set.image2_inter_subset_right @[simp] theorem image2_singleton_left : image2 f {a} t = f a '' t := ext fun x => by simp #align set.image2_singleton_left Set.image2_singleton_left @[simp] theorem image2_singleton_right : image2 f s {b} = (fun a => f a b) '' s := ext fun x => by simp #align set.image2_singleton_right Set.image2_singleton_right theorem image2_singleton : image2 f {a} {b} = {f a b} := by simp #align set.image2_singleton Set.image2_singleton @[simp] theorem image2_insert_left : image2 f (insert a s) t = (fun b => f a b) '' t ∪ image2 f s t := by rw [insert_eq, image2_union_left, image2_singleton_left] #align set.image2_insert_left Set.image2_insert_left @[simp] theorem image2_insert_right : image2 f s (insert b t) = (fun a => f a b) '' s ∪ image2 f s t := by rw [insert_eq, image2_union_right, image2_singleton_right] #align set.image2_insert_right Set.image2_insert_right @[congr] theorem image2_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image2 f s t = image2 f' s t := by ext constructor <;> rintro ⟨a, ha, b, hb, rfl⟩ <;> exact ⟨a, ha, b, hb, by rw [h a ha b hb]⟩ #align set.image2_congr Set.image2_congr theorem image2_congr' (h : ∀ a b, f a b = f' a b) : image2 f s t = image2 f' s t := image2_congr fun a _ b _ => h a b #align set.image2_congr' Set.image2_congr' #noalign set.image3 #noalign set.mem_image3 #noalign set.image3_mono #noalign set.image3_congr #noalign set.image3_congr' #noalign set.image2_image2_left #noalign set.image2_image2_right theorem image_image2 (f : α → β → γ) (g : γ → δ) : g '' image2 f s t = image2 (fun a b => g (f a b)) s t := by simp only [← image_prod, image_image] #align set.image_image2 Set.image_image2 theorem image2_image_left (f : γ → β → δ) (g : α → γ) : image2 f (g '' s) t = image2 (fun a b => f (g a) b) s t := by ext; simp #align set.image2_image_left Set.image2_image_left theorem image2_image_right (f : α → γ → δ) (g : β → γ) : image2 f s (g '' t) = image2 (fun a b => f a (g b)) s t := by ext; simp #align set.image2_image_right Set.image2_image_right @[simp] theorem image2_left (h : t.Nonempty) : image2 (fun x _ => x) s t = s := by simp [nonempty_def.mp h, ext_iff] #align set.image2_left Set.image2_left @[simp] theorem image2_right (h : s.Nonempty) : image2 (fun _ y => y) s t = t := by simp [nonempty_def.mp h, ext_iff] #align set.image2_right Set.image2_right lemma image2_range (f : α' → β' → γ) (g : α → α') (h : β → β') : image2 f (range g) (range h) = range fun x : α × β ↦ f (g x.1) (h x.2) := by simp_rw [← image_univ, image2_image_left, image2_image_right, ← image_prod, univ_prod_univ] theorem image2_assoc {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε} {g' : β → γ → ε'} (h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) : image2 f (image2 g s t) u = image2 f' s (image2 g' t u) := eq_of_forall_subset_iff fun _ ↦ by simp only [image2_subset_iff, forall_image2_iff, h_assoc] #align set.image2_assoc Set.image2_assoc theorem image2_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : image2 f s t = image2 g t s := (image2_swap _ _ _).trans <| by simp_rw [h_comm] #align set.image2_comm Set.image2_comm theorem image2_left_comm {f : α → δ → ε} {g : β → γ → δ} {f' : α → γ → δ'} {g' : β → δ' → ε} (h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) : image2 f s (image2 g t u) = image2 g' t (image2 f' s u) := by rw [image2_swap f', image2_swap f] exact image2_assoc fun _ _ _ => h_left_comm _ _ _ #align set.image2_left_comm Set.image2_left_comm theorem image2_right_comm {f : δ → γ → ε} {g : α → β → δ} {f' : α → γ → δ'} {g' : δ' → β → ε} (h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) : image2 f (image2 g s t) u = image2 g' (image2 f' s u) t := by rw [image2_swap g, image2_swap g'] exact image2_assoc fun _ _ _ => h_right_comm _ _ _ #align set.image2_right_comm Set.image2_right_comm
Mathlib/Data/Set/NAry.lean
262
270
theorem image2_image2_image2_comm {f : ε → ζ → ν} {g : α → β → ε} {h : γ → δ → ζ} {f' : ε' → ζ' → ν} {g' : α → γ → ε'} {h' : β → δ → ζ'} (h_comm : ∀ a b c d, f (g a b) (h c d) = f' (g' a c) (h' b d)) : image2 f (image2 g s t) (image2 h u v) = image2 f' (image2 g' s u) (image2 h' t v) := by
ext; constructor · rintro ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, rfl⟩ exact ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, (h_comm _ _ _ _).symm⟩ · rintro ⟨_, ⟨a, ha, c, hc, rfl⟩, _, ⟨b, hb, d, hd, rfl⟩, rfl⟩ exact ⟨_, ⟨a, ha, b, hb, rfl⟩, _, ⟨c, hc, d, hd, rfl⟩, h_comm _ _ _ _⟩
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.LinearAlgebra.AffineSpace.Slope #align_import analysis.calculus.deriv.slope from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open Topology Filter TopologicalSpace open Filter Set section NormedField variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} theorem hasDerivAtFilter_iff_tendsto_slope {x : 𝕜} {L : Filter 𝕜} : HasDerivAtFilter f f' x L ↔ Tendsto (slope f x) (L ⊓ 𝓟 {x}ᶜ) (𝓝 f') := calc HasDerivAtFilter f f' x L ↔ Tendsto (fun y ↦ slope f x y - (y - x)⁻¹ • (y - x) • f') L (𝓝 0) := by simp only [hasDerivAtFilter_iff_tendsto, ← norm_inv, ← norm_smul, ← tendsto_zero_iff_norm_tendsto_zero, slope_def_module, smul_sub] _ ↔ Tendsto (fun y ↦ slope f x y - (y - x)⁻¹ • (y - x) • f') (L ⊓ 𝓟 {x}ᶜ) (𝓝 0) := .symm <| tendsto_inf_principal_nhds_iff_of_forall_eq <| by simp _ ↔ Tendsto (fun y ↦ slope f x y - f') (L ⊓ 𝓟 {x}ᶜ) (𝓝 0) := tendsto_congr' <| by refine (EqOn.eventuallyEq fun y hy ↦ ?_).filter_mono inf_le_right rw [inv_smul_smul₀ (sub_ne_zero.2 hy) f'] _ ↔ Tendsto (slope f x) (L ⊓ 𝓟 {x}ᶜ) (𝓝 f') := by rw [← nhds_translation_sub f', tendsto_comap_iff]; rfl #align has_deriv_at_filter_iff_tendsto_slope hasDerivAtFilter_iff_tendsto_slope theorem hasDerivWithinAt_iff_tendsto_slope : HasDerivWithinAt f f' s x ↔ Tendsto (slope f x) (𝓝[s \ {x}] x) (𝓝 f') := by simp only [HasDerivWithinAt, nhdsWithin, diff_eq, ← inf_assoc, inf_principal.symm] exact hasDerivAtFilter_iff_tendsto_slope #align has_deriv_within_at_iff_tendsto_slope hasDerivWithinAt_iff_tendsto_slope theorem hasDerivWithinAt_iff_tendsto_slope' (hs : x ∉ s) : HasDerivWithinAt f f' s x ↔ Tendsto (slope f x) (𝓝[s] x) (𝓝 f') := by rw [hasDerivWithinAt_iff_tendsto_slope, diff_singleton_eq_self hs] #align has_deriv_within_at_iff_tendsto_slope' hasDerivWithinAt_iff_tendsto_slope' theorem hasDerivAt_iff_tendsto_slope : HasDerivAt f f' x ↔ Tendsto (slope f x) (𝓝[≠] x) (𝓝 f') := hasDerivAtFilter_iff_tendsto_slope #align has_deriv_at_iff_tendsto_slope hasDerivAt_iff_tendsto_slope theorem hasDerivAt_iff_tendsto_slope_zero : HasDerivAt f f' x ↔ Tendsto (fun t ↦ t⁻¹ • (f (x + t) - f x)) (𝓝[≠] 0) (𝓝 f') := by have : 𝓝[≠] x = Filter.map (fun t ↦ x + t) (𝓝[≠] 0) := by simp [nhdsWithin, map_add_left_nhds_zero x, Filter.map_inf, add_right_injective x] simp [hasDerivAt_iff_tendsto_slope, this, slope, Function.comp] alias ⟨HasDerivAt.tendsto_slope_zero, _⟩ := hasDerivAt_iff_tendsto_slope_zero theorem HasDerivAt.tendsto_slope_zero_right [PartialOrder 𝕜] (h : HasDerivAt f f' x) : Tendsto (fun t ↦ t⁻¹ • (f (x + t) - f x)) (𝓝[>] 0) (𝓝 f') := h.tendsto_slope_zero.mono_left (nhds_right'_le_nhds_ne 0) theorem HasDerivAt.tendsto_slope_zero_left [PartialOrder 𝕜] (h : HasDerivAt f f' x) : Tendsto (fun t ↦ t⁻¹ • (f (x + t) - f x)) (𝓝[<] 0) (𝓝 f') := h.tendsto_slope_zero.mono_left (nhds_left'_le_nhds_ne 0) theorem range_derivWithin_subset_closure_span_image (f : 𝕜 → F) {s t : Set 𝕜} (h : s ⊆ closure (s ∩ t)) : range (derivWithin f s) ⊆ closure (Submodule.span 𝕜 (f '' t)) := by rintro - ⟨x, rfl⟩ rcases eq_or_neBot (𝓝[s \ {x}] x) with H|H · simp [derivWithin, fderivWithin, H] exact subset_closure (zero_mem _) by_cases H' : DifferentiableWithinAt 𝕜 f s x; swap · rw [derivWithin_zero_of_not_differentiableWithinAt H'] exact subset_closure (zero_mem _) have I : (𝓝[(s ∩ t) \ {x}] x).NeBot := by rw [← mem_closure_iff_nhdsWithin_neBot] at H ⊢ have A : closure (s \ {x}) ⊆ closure (closure (s ∩ t) \ {x}) := closure_mono (diff_subset_diff_left h) have B : closure (s ∩ t) \ {x} ⊆ closure ((s ∩ t) \ {x}) := by convert closure_diff; exact closure_singleton.symm simpa using A.trans (closure_mono B) H have : Tendsto (slope f x) (𝓝[(s ∩ t) \ {x}] x) (𝓝 (derivWithin f s x)) := by apply Tendsto.mono_left (hasDerivWithinAt_iff_tendsto_slope.1 H'.hasDerivWithinAt) rw [inter_comm, inter_diff_assoc] exact nhdsWithin_mono _ inter_subset_right rw [← closure_closure, ← Submodule.topologicalClosure_coe] apply mem_closure_of_tendsto this filter_upwards [self_mem_nhdsWithin] with y hy simp only [slope, vsub_eq_sub, SetLike.mem_coe] refine Submodule.smul_mem _ _ (Submodule.sub_mem _ ?_ ?_) · apply Submodule.le_topologicalClosure apply Submodule.subset_span exact mem_image_of_mem _ hy.1.2 · apply Submodule.closure_subset_topologicalClosure_span suffices A : f x ∈ closure (f '' (s ∩ t)) from closure_mono (image_subset _ inter_subset_right) A apply ContinuousWithinAt.mem_closure_image · apply H'.continuousWithinAt.mono inter_subset_left rw [mem_closure_iff_nhdsWithin_neBot] exact I.mono (nhdsWithin_mono _ diff_subset) theorem range_deriv_subset_closure_span_image (f : 𝕜 → F) {t : Set 𝕜} (h : Dense t) : range (deriv f) ⊆ closure (Submodule.span 𝕜 (f '' t)) := by rw [← derivWithin_univ] apply range_derivWithin_subset_closure_span_image simp [dense_iff_closure_eq.1 h] theorem isSeparable_range_derivWithin [SeparableSpace 𝕜] (f : 𝕜 → F) (s : Set 𝕜) : IsSeparable (range (derivWithin f s)) := by obtain ⟨t, ts, t_count, ht⟩ : ∃ t, t ⊆ s ∧ Set.Countable t ∧ s ⊆ closure t := (IsSeparable.of_separableSpace s).exists_countable_dense_subset have : s ⊆ closure (s ∩ t) := by rwa [inter_eq_self_of_subset_right ts] apply IsSeparable.mono _ (range_derivWithin_subset_closure_span_image f this) exact (Countable.image t_count f).isSeparable.span.closure
Mathlib/Analysis/Calculus/Deriv/Slope.lean
153
156
theorem isSeparable_range_deriv [SeparableSpace 𝕜] (f : 𝕜 → F) : IsSeparable (range (deriv f)) := by
rw [← derivWithin_univ] exact isSeparable_range_derivWithin _ _
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd" namespace Polynomial open Polynomial Finsupp Finset open Polynomial section Semiring variable {R : Type*} [Semiring R] {f : R[X]} def revAtFun (N i : ℕ) : ℕ := ite (i ≤ N) (N - i) i #align polynomial.rev_at_fun Polynomial.revAtFun theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by unfold revAtFun split_ifs with h j · exact tsub_tsub_cancel_of_le h · exfalso apply j exact Nat.sub_le N i · rfl #align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by intro a b hab rw [← @revAtFun_invol N a, hab, revAtFun_invol] #align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj def revAt (N : ℕ) : Function.Embedding ℕ ℕ where toFun i := ite (i ≤ N) (N - i) i inj' := revAtFun_inj #align polynomial.rev_at Polynomial.revAt @[simp] theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i := rfl #align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq @[simp] theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i := revAtFun_invol #align polynomial.rev_at_invol Polynomial.revAt_invol @[simp] theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i := if_pos H #align polynomial.rev_at_le Polynomial.revAt_le lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h] theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) : revAt (N + O) (n + o) = revAt N n + revAt O o := by rcases Nat.le.dest hn with ⟨n', rfl⟩ rcases Nat.le.dest ho with ⟨o', rfl⟩ repeat' rw [revAt_le (le_add_right rfl.le)] rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)] repeat' rw [add_tsub_cancel_left] #align polynomial.rev_at_add Polynomial.revAt_add -- @[simp] -- Porting note (#10618): simp can prove this theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp #align polynomial.rev_at_zero Polynomial.revAt_zero noncomputable def reflect (N : ℕ) : R[X] → R[X] | ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩ #align polynomial.reflect Polynomial.reflect theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image] #align polynomial.reflect_support Polynomial.reflect_support @[simp] theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by rcases f with ⟨f⟩ simp only [reflect, coeff] calc Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by rw [revAt_invol] _ = f (revAt N i) := Finsupp.embDomain_apply _ _ _ #align polynomial.coeff_reflect Polynomial.coeff_reflect @[simp] theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 := rfl #align polynomial.reflect_zero Polynomial.reflect_zero @[simp] theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero] #align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff @[simp] theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by ext simp only [coeff_add, coeff_reflect] #align polynomial.reflect_add Polynomial.reflect_add @[simp] theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by ext simp only [coeff_reflect, coeff_C_mul] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C_mul Polynomial.reflect_C_mul -- @[simp] -- Porting note (#10618): simp can prove this (once `reflect_monomial` is in simp scope) theorem reflect_C_mul_X_pow (N n : ℕ) {c : R} : reflect N (C c * X ^ n) = C c * X ^ revAt N n := by ext rw [reflect_C_mul, coeff_C_mul, coeff_C_mul, coeff_X_pow, coeff_reflect] split_ifs with h · rw [h, revAt_invol, coeff_X_pow_self] · rw [not_mem_support_iff.mp] intro a rw [← one_mul (X ^ n), ← C_1] at a apply h rw [← mem_support_C_mul_X_pow a, revAt_invol] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C_mul_X_pow Polynomial.reflect_C_mul_X_pow @[simp] theorem reflect_C (r : R) (N : ℕ) : reflect N (C r) = C r * X ^ N := by conv_lhs => rw [← mul_one (C r), ← pow_zero X, reflect_C_mul_X_pow, revAt_zero] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C Polynomial.reflect_C @[simp] theorem reflect_monomial (N n : ℕ) : reflect N ((X : R[X]) ^ n) = X ^ revAt N n := by rw [← one_mul (X ^ n), ← one_mul (X ^ revAt N n), ← C_1, reflect_C_mul_X_pow] #align polynomial.reflect_monomial Polynomial.reflect_monomial @[simp] lemma reflect_one_X : reflect 1 (X : R[X]) = 1 := by simpa using reflect_monomial 1 1 (R := R) theorem reflect_mul_induction (cf cg : ℕ) : ∀ N O : ℕ, ∀ f g : R[X], f.support.card ≤ cf.succ → g.support.card ≤ cg.succ → f.natDegree ≤ N → g.natDegree ≤ O → reflect (N + O) (f * g) = reflect N f * reflect O g := by induction' cf with cf hcf --first induction (left): base case · induction' cg with cg hcg -- second induction (right): base case · intro N O f g Cf Cg Nf Og rw [← C_mul_X_pow_eq_self Cf, ← C_mul_X_pow_eq_self Cg] simp_rw [mul_assoc, X_pow_mul, mul_assoc, ← pow_add (X : R[X]), reflect_C_mul, reflect_monomial, add_comm, revAt_add Nf Og, mul_assoc, X_pow_mul, mul_assoc, ← pow_add (X : R[X]), add_comm] -- second induction (right): induction step · intro N O f g Cf Cg Nf Og by_cases g0 : g = 0 · rw [g0, reflect_zero, mul_zero, mul_zero, reflect_zero] rw [← eraseLead_add_C_mul_X_pow g, mul_add, reflect_add, reflect_add, mul_add, hcg, hcg] <;> try assumption · exact le_add_left card_support_C_mul_X_pow_le_one · exact le_trans (natDegree_C_mul_X_pow_le g.leadingCoeff g.natDegree) Og · exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cg (eraseLead_support_card_lt g0)) · exact le_trans eraseLead_natDegree_le_aux Og --first induction (left): induction step · intro N O f g Cf Cg Nf Og by_cases f0 : f = 0 · rw [f0, reflect_zero, zero_mul, zero_mul, reflect_zero] rw [← eraseLead_add_C_mul_X_pow f, add_mul, reflect_add, reflect_add, add_mul, hcf, hcf] <;> try assumption · exact le_add_left card_support_C_mul_X_pow_le_one · exact le_trans (natDegree_C_mul_X_pow_le f.leadingCoeff f.natDegree) Nf · exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cf (eraseLead_support_card_lt f0)) · exact le_trans eraseLead_natDegree_le_aux Nf #align polynomial.reflect_mul_induction Polynomial.reflect_mul_induction @[simp] theorem reflect_mul (f g : R[X]) {F G : ℕ} (Ff : f.natDegree ≤ F) (Gg : g.natDegree ≤ G) : reflect (F + G) (f * g) = reflect F f * reflect G g := reflect_mul_induction _ _ F G f g f.support.card.le_succ g.support.card.le_succ Ff Gg #align polynomial.reflect_mul Polynomial.reflect_mul noncomputable def reverse (f : R[X]) : R[X] := reflect f.natDegree f #align polynomial.reverse Polynomial.reverse theorem coeff_reverse (f : R[X]) (n : ℕ) : f.reverse.coeff n = f.coeff (revAt f.natDegree n) := by rw [reverse, coeff_reflect] #align polynomial.coeff_reverse Polynomial.coeff_reverse @[simp] theorem coeff_zero_reverse (f : R[X]) : coeff (reverse f) 0 = leadingCoeff f := by rw [coeff_reverse, revAt_le (zero_le f.natDegree), tsub_zero, leadingCoeff] #align polynomial.coeff_zero_reverse Polynomial.coeff_zero_reverse @[simp] theorem reverse_zero : reverse (0 : R[X]) = 0 := rfl #align polynomial.reverse_zero Polynomial.reverse_zero @[simp] theorem reverse_eq_zero : f.reverse = 0 ↔ f = 0 := by simp [reverse] #align polynomial.reverse_eq_zero Polynomial.reverse_eq_zero theorem reverse_natDegree_le (f : R[X]) : f.reverse.natDegree ≤ f.natDegree := by rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero] intro n hn rw [Nat.cast_lt] at hn rw [coeff_reverse, revAt, Function.Embedding.coeFn_mk, if_neg (not_le_of_gt hn), coeff_eq_zero_of_natDegree_lt hn] #align polynomial.reverse_nat_degree_le Polynomial.reverse_natDegree_le theorem natDegree_eq_reverse_natDegree_add_natTrailingDegree (f : R[X]) : f.natDegree = f.reverse.natDegree + f.natTrailingDegree := by by_cases hf : f = 0 · rw [hf, reverse_zero, natDegree_zero, natTrailingDegree_zero] apply le_antisymm · refine tsub_le_iff_right.mp ?_ apply le_natDegree_of_ne_zero rw [reverse, coeff_reflect, ← revAt_le f.natTrailingDegree_le_natDegree, revAt_invol] exact trailingCoeff_nonzero_iff_nonzero.mpr hf · rw [← le_tsub_iff_left f.reverse_natDegree_le] apply natTrailingDegree_le_of_ne_zero have key := mt leadingCoeff_eq_zero.mp (mt reverse_eq_zero.mp hf) rwa [leadingCoeff, coeff_reverse, revAt_le f.reverse_natDegree_le] at key #align polynomial.nat_degree_eq_reverse_nat_degree_add_nat_trailing_degree Polynomial.natDegree_eq_reverse_natDegree_add_natTrailingDegree theorem reverse_natDegree (f : R[X]) : f.reverse.natDegree = f.natDegree - f.natTrailingDegree := by rw [f.natDegree_eq_reverse_natDegree_add_natTrailingDegree, add_tsub_cancel_right] #align polynomial.reverse_nat_degree Polynomial.reverse_natDegree
Mathlib/Algebra/Polynomial/Reverse.lean
299
301
theorem reverse_leadingCoeff (f : R[X]) : f.reverse.leadingCoeff = f.trailingCoeff := by
rw [leadingCoeff, reverse_natDegree, ← revAt_le f.natTrailingDegree_le_natDegree, coeff_reverse, revAt_invol, trailingCoeff]
import Mathlib.Data.SetLike.Basic import Mathlib.Data.Finset.Preimage import Mathlib.ModelTheory.Semantics #align_import model_theory.definability from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v w u₁ namespace Set variable {M : Type w} (A : Set M) (L : FirstOrder.Language.{u, v}) [L.Structure M] open FirstOrder FirstOrder.Language FirstOrder.Language.Structure variable {α : Type u₁} {β : Type*} def Definable (s : Set (α → M)) : Prop := ∃ φ : L[[A]].Formula α, s = setOf φ.Realize #align set.definable Set.Definable variable {L} {A} {B : Set M} {s : Set (α → M)} theorem Definable.map_expansion {L' : FirstOrder.Language} [L'.Structure M] (h : A.Definable L s) (φ : L →ᴸ L') [φ.IsExpansionOn M] : A.Definable L' s := by obtain ⟨ψ, rfl⟩ := h refine ⟨(φ.addConstants A).onFormula ψ, ?_⟩ ext x simp only [mem_setOf_eq, LHom.realize_onFormula] #align set.definable.map_expansion Set.Definable.map_expansion theorem definable_iff_exists_formula_sum : A.Definable L s ↔ ∃ φ : L.Formula (A ⊕ α), s = {v | φ.Realize (Sum.elim (↑) v)} := by rw [Definable, Equiv.exists_congr_left (BoundedFormula.constantsVarsEquiv)] refine exists_congr (fun φ => iff_iff_eq.2 (congr_arg (s = ·) ?_)) ext simp only [Formula.Realize, BoundedFormula.constantsVarsEquiv, constantsOn, mk₂_Relations, BoundedFormula.mapTermRelEquiv_symm_apply, mem_setOf_eq] refine BoundedFormula.realize_mapTermRel_id ?_ (fun _ _ _ => rfl) intros simp only [Term.constantsVarsEquivLeft_symm_apply, Term.realize_varsToConstants, coe_con, Term.realize_relabel] congr ext a rcases a with (_ | _) | _ <;> rfl theorem empty_definable_iff : (∅ : Set M).Definable L s ↔ ∃ φ : L.Formula α, s = setOf φ.Realize := by rw [Definable, Equiv.exists_congr_left (LEquiv.addEmptyConstants L (∅ : Set M)).onFormula] simp [-constantsOn] #align set.empty_definable_iff Set.empty_definable_iff theorem definable_iff_empty_definable_with_params : A.Definable L s ↔ (∅ : Set M).Definable (L[[A]]) s := empty_definable_iff.symm #align set.definable_iff_empty_definable_with_params Set.definable_iff_empty_definable_with_params theorem Definable.mono (hAs : A.Definable L s) (hAB : A ⊆ B) : B.Definable L s := by rw [definable_iff_empty_definable_with_params] at * exact hAs.map_expansion (L.lhomWithConstantsMap (Set.inclusion hAB)) #align set.definable.mono Set.Definable.mono @[simp] theorem definable_empty : A.Definable L (∅ : Set (α → M)) := ⟨⊥, by ext simp⟩ #align set.definable_empty Set.definable_empty @[simp] theorem definable_univ : A.Definable L (univ : Set (α → M)) := ⟨⊤, by ext simp⟩ #align set.definable_univ Set.definable_univ @[simp] theorem Definable.inter {f g : Set (α → M)} (hf : A.Definable L f) (hg : A.Definable L g) : A.Definable L (f ∩ g) := by rcases hf with ⟨φ, rfl⟩ rcases hg with ⟨θ, rfl⟩ refine ⟨φ ⊓ θ, ?_⟩ ext simp #align set.definable.inter Set.Definable.inter @[simp]
Mathlib/ModelTheory/Definability.lean
116
122
theorem Definable.union {f g : Set (α → M)} (hf : A.Definable L f) (hg : A.Definable L g) : A.Definable L (f ∪ g) := by
rcases hf with ⟨φ, hφ⟩ rcases hg with ⟨θ, hθ⟩ refine ⟨φ ⊔ θ, ?_⟩ ext rw [hφ, hθ, mem_setOf_eq, Formula.realize_sup, mem_union, mem_setOf_eq, mem_setOf_eq]
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Nodup import Mathlib.Data.List.Infix #align_import data.list.sort from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open List.Perm universe u namespace List section sort variable {α : Type u} (r : α → α → Prop) [DecidableRel r] local infixl:50 " ≼ " => r section InsertionSort @[simp] def orderedInsert (a : α) : List α → List α | [] => [a] | b :: l => if a ≼ b then a :: b :: l else b :: orderedInsert a l #align list.ordered_insert List.orderedInsert @[simp] def insertionSort : List α → List α | [] => [] | b :: l => orderedInsert r b (insertionSort l) #align list.insertion_sort List.insertionSort @[simp] theorem orderedInsert_nil (a : α) : [].orderedInsert r a = [a] := rfl #align list.ordered_insert_nil List.orderedInsert_nil theorem orderedInsert_length : ∀ (L : List α) (a : α), (L.orderedInsert r a).length = L.length + 1 | [], a => rfl | hd :: tl, a => by dsimp [orderedInsert] split_ifs <;> simp [orderedInsert_length tl] #align list.ordered_insert_length List.orderedInsert_length theorem orderedInsert_eq_take_drop (a : α) : ∀ l : List α, l.orderedInsert r a = (l.takeWhile fun b => ¬a ≼ b) ++ a :: l.dropWhile fun b => ¬a ≼ b | [] => rfl | b :: l => by dsimp only [orderedInsert] split_ifs with h <;> simp [takeWhile, dropWhile, *, orderedInsert_eq_take_drop a l] #align list.ordered_insert_eq_take_drop List.orderedInsert_eq_take_drop theorem insertionSort_cons_eq_take_drop (a : α) (l : List α) : insertionSort r (a :: l) = ((insertionSort r l).takeWhile fun b => ¬a ≼ b) ++ a :: (insertionSort r l).dropWhile fun b => ¬a ≼ b := orderedInsert_eq_take_drop r a _ #align list.insertion_sort_cons_eq_take_drop List.insertionSort_cons_eq_take_drop @[simp] theorem mem_orderedInsert {a b : α} {l : List α} : a ∈ orderedInsert r b l ↔ a = b ∨ a ∈ l := match l with | [] => by simp [orderedInsert] | x :: xs => by rw [orderedInsert] split_ifs · simp [orderedInsert] · rw [mem_cons, mem_cons, mem_orderedInsert, or_left_comm] section Correctness open Perm theorem perm_orderedInsert (a) : ∀ l : List α, orderedInsert r a l ~ a :: l | [] => Perm.refl _ | b :: l => by by_cases h : a ≼ b · simp [orderedInsert, h] · simpa [orderedInsert, h] using ((perm_orderedInsert a l).cons _).trans (Perm.swap _ _ _) #align list.perm_ordered_insert List.perm_orderedInsert
Mathlib/Data/List/Sort.lean
273
275
theorem orderedInsert_count [DecidableEq α] (L : List α) (a b : α) : count a (L.orderedInsert r b) = count a L + if a = b then 1 else 0 := by
rw [(L.perm_orderedInsert r b).count_eq, count_cons]
import Mathlib.Topology.Basic #align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Topology variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X} {s t s₁ s₂ t₁ t₂ : Set X} {x : X} theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] : 𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by rw [nhdsSet, ← range_diag, ← range_comp] rfl #align nhds_set_diagonal nhdsSet_diagonal theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image] #align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet] theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s := mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <| subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s` #align bUnion_mem_nhds_set bUnion_mem_nhdsSet theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds] #align subset_interior_iff_mem_nhds_set subset_interior_iff_mem_nhdsSet theorem disjoint_principal_nhdsSet : Disjoint (𝓟 s) (𝓝ˢ t) ↔ Disjoint (closure s) t := by rw [disjoint_principal_left, ← subset_interior_iff_mem_nhdsSet, interior_compl, subset_compl_iff_disjoint_left] theorem disjoint_nhdsSet_principal : Disjoint (𝓝ˢ s) (𝓟 t) ↔ Disjoint s (closure t) := by rw [disjoint_comm, disjoint_principal_nhdsSet, disjoint_comm]
Mathlib/Topology/NhdsSet.lean
63
64
theorem mem_nhdsSet_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : Set X, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := by
rw [← subset_interior_iff_mem_nhdsSet, subset_interior_iff]
import Mathlib.Analysis.Calculus.FDeriv.Pi import Mathlib.Analysis.Calculus.Deriv.Basic variable {𝕜 ι : Type*} [DecidableEq ι] [Fintype ι] [NontriviallyNormedField 𝕜]
Mathlib/Analysis/Calculus/Deriv/Pi.lean
15
22
theorem hasDerivAt_update (x : ι → 𝕜) (i : ι) (y : 𝕜) : HasDerivAt (Function.update x i) (Pi.single i (1 : 𝕜)) y := by
convert (hasFDerivAt_update x y).hasDerivAt ext z j rw [Pi.single, Function.update_apply] split_ifs with h · simp [h] · simp [Pi.single_eq_of_ne h]
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology #align_import topology.uniform_space.equicontinuity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" section open UniformSpace Filter Set Uniformity Topology UniformConvergence Function variable {ι κ X X' Y Z α α' β β' γ 𝓕 : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y] [tZ : TopologicalSpace Z] [uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ] def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U #align equicontinuous_at EquicontinuousAt protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop := EquicontinuousAt ((↑) : H → X → α) x₀ #align set.equicontinuous_at Set.EquicontinuousAt def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop := EquicontinuousWithinAt ((↑) : H → X → α) S x₀ def Equicontinuous (F : ι → X → α) : Prop := ∀ x₀, EquicontinuousAt F x₀ #align equicontinuous Equicontinuous protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop := Equicontinuous ((↑) : H → X → α) #align set.equicontinuous Set.Equicontinuous def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop := ∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀ protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop := EquicontinuousOn ((↑) : H → X → α) S def UniformEquicontinuous (F : ι → β → α) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U #align uniform_equicontinuous UniformEquicontinuous protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop := UniformEquicontinuous ((↑) : H → β → α) #align set.uniform_equicontinuous Set.UniformEquicontinuous def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop := UniformEquicontinuousOn ((↑) : H → β → α) S lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀) (S : Set X) : EquicontinuousWithinAt F S x₀ := fun U hU ↦ (H U hU).filter_mono inf_le_left lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X} (H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ := fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST @[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) : EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ] lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) : EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by simp [EquicontinuousWithinAt, EquicontinuousAt, ← eventually_nhds_subtype_iff] lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F) (S : Set X) : EquicontinuousOn F S := fun x _ ↦ (H x).equicontinuousWithinAt S lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X} (H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S := fun x hx ↦ (H x (hST hx)).mono hST lemma equicontinuousOn_univ (F : ι → X → α) : EquicontinuousOn F univ ↔ Equicontinuous F := by simp [EquicontinuousOn, Equicontinuous] lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} : Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff] lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F) (S : Set β) : UniformEquicontinuousOn F S := fun U hU ↦ (H U hU).filter_mono inf_le_left lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β} (H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S := fun U hU ↦ (H U hU).filter_mono <| by gcongr lemma uniformEquicontinuousOn_univ (F : ι → β → α) : UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by simp [UniformEquicontinuousOn, UniformEquicontinuous] lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} : UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by rw [UniformEquicontinuous, UniformEquicontinuousOn] conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prod_map, ← map_comap] rfl @[simp] lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) : EquicontinuousAt F x₀ := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) : EquicontinuousWithinAt F S x₀ := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) : Equicontinuous F := equicontinuousAt_empty F @[simp] lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) : EquicontinuousOn F S := fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀ @[simp] lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) : UniformEquicontinuous F := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) : UniformEquicontinuousOn F S := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball, @forall_swap _ ι] theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by simp [EquicontinuousWithinAt, ContinuousWithinAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball, @forall_swap _ ι] theorem equicontinuous_finite [Finite ι] {F : ι → X → α} : Equicontinuous F ↔ ∀ i, Continuous (F i) := by simp only [Equicontinuous, equicontinuousAt_finite, continuous_iff_continuousAt, @forall_swap ι] theorem equicontinuousOn_finite [Finite ι] {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ∀ i, ContinuousOn (F i) S := by simp only [EquicontinuousOn, equicontinuousWithinAt_finite, ContinuousOn, @forall_swap ι] theorem uniformEquicontinuous_finite [Finite ι] {F : ι → β → α} : UniformEquicontinuous F ↔ ∀ i, UniformContinuous (F i) := by simp only [UniformEquicontinuous, eventually_all, @forall_swap _ ι]; rfl theorem uniformEquicontinuousOn_finite [Finite ι] {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ ∀ i, UniformContinuousOn (F i) S := by simp only [UniformEquicontinuousOn, eventually_all, @forall_swap _ ι]; rfl theorem equicontinuousAt_unique [Unique ι] {F : ι → X → α} {x : X} : EquicontinuousAt F x ↔ ContinuousAt (F default) x := equicontinuousAt_finite.trans Unique.forall_iff theorem equicontinuousWithinAt_unique [Unique ι] {F : ι → X → α} {S : Set X} {x : X} : EquicontinuousWithinAt F S x ↔ ContinuousWithinAt (F default) S x := equicontinuousWithinAt_finite.trans Unique.forall_iff theorem equicontinuous_unique [Unique ι] {F : ι → X → α} : Equicontinuous F ↔ Continuous (F default) := equicontinuous_finite.trans Unique.forall_iff theorem equicontinuousOn_unique [Unique ι] {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ContinuousOn (F default) S := equicontinuousOn_finite.trans Unique.forall_iff theorem uniformEquicontinuous_unique [Unique ι] {F : ι → β → α} : UniformEquicontinuous F ↔ UniformContinuous (F default) := uniformEquicontinuous_finite.trans Unique.forall_iff theorem uniformEquicontinuousOn_unique [Unique ι] {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ UniformContinuousOn (F default) S := uniformEquicontinuousOn_finite.trans Unique.forall_iff theorem equicontinuousWithinAt_iff_pair {F : ι → X → α} {S : Set X} {x₀ : X} (hx₀ : x₀ ∈ S) : EquicontinuousWithinAt F S x₀ ↔ ∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝[S] x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by constructor <;> intro H U hU · rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩ refine ⟨_, H V hV, fun x hx y hy i => hVU (prod_mk_mem_compRel ?_ (hy i))⟩ exact hVsymm.mk_mem_comm.mp (hx i) · rcases H U hU with ⟨V, hV, hVU⟩ filter_upwards [hV] using fun x hx i => hVU x₀ (mem_of_mem_nhdsWithin hx₀ hV) x hx i theorem equicontinuousAt_iff_pair {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝 x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by simp_rw [← equicontinuousWithinAt_univ, equicontinuousWithinAt_iff_pair (mem_univ x₀), nhdsWithin_univ] #align equicontinuous_at_iff_pair equicontinuousAt_iff_pair theorem UniformEquicontinuous.equicontinuous {F : ι → β → α} (h : UniformEquicontinuous F) : Equicontinuous F := fun x₀ U hU ↦ mem_of_superset (ball_mem_nhds x₀ (h U hU)) fun _ hx i ↦ hx i #align uniform_equicontinuous.equicontinuous UniformEquicontinuous.equicontinuous theorem UniformEquicontinuousOn.equicontinuousOn {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S) : EquicontinuousOn F S := fun _ hx₀ U hU ↦ mem_of_superset (ball_mem_nhdsWithin hx₀ (h U hU)) fun _ hx i ↦ hx i theorem EquicontinuousAt.continuousAt {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (i : ι) : ContinuousAt (F i) x₀ := (UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i #align equicontinuous_at.continuous_at EquicontinuousAt.continuousAt theorem EquicontinuousWithinAt.continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} (h : EquicontinuousWithinAt F S x₀) (i : ι) : ContinuousWithinAt (F i) S x₀ := (UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i protected theorem Set.EquicontinuousAt.continuousAt_of_mem {H : Set <| X → α} {x₀ : X} (h : H.EquicontinuousAt x₀) {f : X → α} (hf : f ∈ H) : ContinuousAt f x₀ := h.continuousAt ⟨f, hf⟩ #align set.equicontinuous_at.continuous_at_of_mem Set.EquicontinuousAt.continuousAt_of_mem protected theorem Set.EquicontinuousWithinAt.continuousWithinAt_of_mem {H : Set <| X → α} {S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) {f : X → α} (hf : f ∈ H) : ContinuousWithinAt f S x₀ := h.continuousWithinAt ⟨f, hf⟩ theorem Equicontinuous.continuous {F : ι → X → α} (h : Equicontinuous F) (i : ι) : Continuous (F i) := continuous_iff_continuousAt.mpr fun x => (h x).continuousAt i #align equicontinuous.continuous Equicontinuous.continuous theorem EquicontinuousOn.continuousOn {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (i : ι) : ContinuousOn (F i) S := fun x hx ↦ (h x hx).continuousWithinAt i protected theorem Set.Equicontinuous.continuous_of_mem {H : Set <| X → α} (h : H.Equicontinuous) {f : X → α} (hf : f ∈ H) : Continuous f := h.continuous ⟨f, hf⟩ #align set.equicontinuous.continuous_of_mem Set.Equicontinuous.continuous_of_mem protected theorem Set.EquicontinuousOn.continuousOn_of_mem {H : Set <| X → α} {S : Set X} (h : H.EquicontinuousOn S) {f : X → α} (hf : f ∈ H) : ContinuousOn f S := h.continuousOn ⟨f, hf⟩ theorem UniformEquicontinuous.uniformContinuous {F : ι → β → α} (h : UniformEquicontinuous F) (i : ι) : UniformContinuous (F i) := fun U hU => mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i) #align uniform_equicontinuous.uniform_continuous UniformEquicontinuous.uniformContinuous theorem UniformEquicontinuousOn.uniformContinuousOn {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S) (i : ι) : UniformContinuousOn (F i) S := fun U hU => mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i) protected theorem Set.UniformEquicontinuous.uniformContinuous_of_mem {H : Set <| β → α} (h : H.UniformEquicontinuous) {f : β → α} (hf : f ∈ H) : UniformContinuous f := h.uniformContinuous ⟨f, hf⟩ #align set.uniform_equicontinuous.uniform_continuous_of_mem Set.UniformEquicontinuous.uniformContinuous_of_mem protected theorem Set.UniformEquicontinuousOn.uniformContinuousOn_of_mem {H : Set <| β → α} {S : Set β} (h : H.UniformEquicontinuousOn S) {f : β → α} (hf : f ∈ H) : UniformContinuousOn f S := h.uniformContinuousOn ⟨f, hf⟩ theorem EquicontinuousAt.comp {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (u : κ → ι) : EquicontinuousAt (F ∘ u) x₀ := fun U hU => (h U hU).mono fun _ H k => H (u k) #align equicontinuous_at.comp EquicontinuousAt.comp theorem EquicontinuousWithinAt.comp {F : ι → X → α} {S : Set X} {x₀ : X} (h : EquicontinuousWithinAt F S x₀) (u : κ → ι) : EquicontinuousWithinAt (F ∘ u) S x₀ := fun U hU ↦ (h U hU).mono fun _ H k => H (u k) protected theorem Set.EquicontinuousAt.mono {H H' : Set <| X → α} {x₀ : X} (h : H.EquicontinuousAt x₀) (hH : H' ⊆ H) : H'.EquicontinuousAt x₀ := h.comp (inclusion hH) #align set.equicontinuous_at.mono Set.EquicontinuousAt.mono protected theorem Set.EquicontinuousWithinAt.mono {H H' : Set <| X → α} {S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) (hH : H' ⊆ H) : H'.EquicontinuousWithinAt S x₀ := h.comp (inclusion hH) theorem Equicontinuous.comp {F : ι → X → α} (h : Equicontinuous F) (u : κ → ι) : Equicontinuous (F ∘ u) := fun x => (h x).comp u #align equicontinuous.comp Equicontinuous.comp theorem EquicontinuousOn.comp {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (u : κ → ι) : EquicontinuousOn (F ∘ u) S := fun x hx ↦ (h x hx).comp u protected theorem Set.Equicontinuous.mono {H H' : Set <| X → α} (h : H.Equicontinuous) (hH : H' ⊆ H) : H'.Equicontinuous := h.comp (inclusion hH) #align set.equicontinuous.mono Set.Equicontinuous.mono protected theorem Set.EquicontinuousOn.mono {H H' : Set <| X → α} {S : Set X} (h : H.EquicontinuousOn S) (hH : H' ⊆ H) : H'.EquicontinuousOn S := h.comp (inclusion hH) theorem UniformEquicontinuous.comp {F : ι → β → α} (h : UniformEquicontinuous F) (u : κ → ι) : UniformEquicontinuous (F ∘ u) := fun U hU => (h U hU).mono fun _ H k => H (u k) #align uniform_equicontinuous.comp UniformEquicontinuous.comp theorem UniformEquicontinuousOn.comp {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S) (u : κ → ι) : UniformEquicontinuousOn (F ∘ u) S := fun U hU ↦ (h U hU).mono fun _ H k => H (u k) protected theorem Set.UniformEquicontinuous.mono {H H' : Set <| β → α} (h : H.UniformEquicontinuous) (hH : H' ⊆ H) : H'.UniformEquicontinuous := h.comp (inclusion hH) #align set.uniform_equicontinuous.mono Set.UniformEquicontinuous.mono protected theorem Set.UniformEquicontinuousOn.mono {H H' : Set <| β → α} {S : Set β} (h : H.UniformEquicontinuousOn S) (hH : H' ⊆ H) : H'.UniformEquicontinuousOn S := h.comp (inclusion hH) theorem equicontinuousAt_iff_range {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ EquicontinuousAt ((↑) : range F → X → α) x₀ := by simp only [EquicontinuousAt, forall_subtype_range_iff] #align equicontinuous_at_iff_range equicontinuousAt_iff_range theorem equicontinuousWithinAt_iff_range {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ EquicontinuousWithinAt ((↑) : range F → X → α) S x₀ := by simp only [EquicontinuousWithinAt, forall_subtype_range_iff] theorem equicontinuous_iff_range {F : ι → X → α} : Equicontinuous F ↔ Equicontinuous ((↑) : range F → X → α) := forall_congr' fun _ => equicontinuousAt_iff_range #align equicontinuous_iff_range equicontinuous_iff_range theorem equicontinuousOn_iff_range {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ EquicontinuousOn ((↑) : range F → X → α) S := forall_congr' fun _ ↦ forall_congr' fun _ ↦ equicontinuousWithinAt_iff_range theorem uniformEquicontinuous_iff_range {F : ι → β → α} : UniformEquicontinuous F ↔ UniformEquicontinuous ((↑) : range F → β → α) := ⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h => h.comp (rangeFactorization F)⟩ #align uniform_equicontinuous_at_iff_range uniformEquicontinuous_iff_range theorem uniformEquicontinuousOn_iff_range {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((↑) : range F → β → α) S := ⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h => h.comp (rangeFactorization F)⟩ section open UniformFun theorem equicontinuousAt_iff_continuousAt {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ContinuousAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) x₀ := by rw [ContinuousAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff] rfl #align equicontinuous_at_iff_continuous_at equicontinuousAt_iff_continuousAt theorem equicontinuousWithinAt_iff_continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ ContinuousWithinAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) S x₀ := by rw [ContinuousWithinAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff] rfl theorem equicontinuous_iff_continuous {F : ι → X → α} : Equicontinuous F ↔ Continuous (ofFun ∘ Function.swap F : X → ι →ᵤ α) := by simp_rw [Equicontinuous, continuous_iff_continuousAt, equicontinuousAt_iff_continuousAt] #align equicontinuous_iff_continuous equicontinuous_iff_continuous theorem equicontinuousOn_iff_continuousOn {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ContinuousOn (ofFun ∘ Function.swap F : X → ι →ᵤ α) S := by simp_rw [EquicontinuousOn, ContinuousOn, equicontinuousWithinAt_iff_continuousWithinAt] theorem uniformEquicontinuous_iff_uniformContinuous {F : ι → β → α} : UniformEquicontinuous F ↔ UniformContinuous (ofFun ∘ Function.swap F : β → ι →ᵤ α) := by rw [UniformContinuous, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff] rfl #align uniform_equicontinuous_iff_uniform_continuous uniformEquicontinuous_iff_uniformContinuous theorem uniformEquicontinuousOn_iff_uniformContinuousOn {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ UniformContinuousOn (ofFun ∘ Function.swap F : β → ι →ᵤ α) S := by rw [UniformContinuousOn, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff] rfl theorem equicontinuousWithinAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} {S : Set X} {x₀ : X} : EquicontinuousWithinAt (uα := ⨅ k, u k) F S x₀ ↔ ∀ k, EquicontinuousWithinAt (uα := u k) F S x₀ := by simp only [equicontinuousWithinAt_iff_continuousWithinAt (uα := _), topologicalSpace] unfold ContinuousWithinAt rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, nhds_iInf, tendsto_iInf] theorem equicontinuousAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} {x₀ : X} : EquicontinuousAt (uα := ⨅ k, u k) F x₀ ↔ ∀ k, EquicontinuousAt (uα := u k) F x₀ := by simp only [← equicontinuousWithinAt_univ (uα := _), equicontinuousWithinAt_iInf_rng] theorem equicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} : Equicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, Equicontinuous (uα := u k) F := by simp_rw [equicontinuous_iff_continuous (uα := _), UniformFun.topologicalSpace] rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, continuous_iInf_rng] theorem equicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} {S : Set X} : EquicontinuousOn (uα := ⨅ k, u k) F S ↔ ∀ k, EquicontinuousOn (uα := u k) F S := by simp_rw [EquicontinuousOn, equicontinuousWithinAt_iInf_rng, @forall_swap _ κ] theorem uniformEquicontinuous_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'} : UniformEquicontinuous (uα := ⨅ k, u k) F ↔ ∀ k, UniformEquicontinuous (uα := u k) F := by simp_rw [uniformEquicontinuous_iff_uniformContinuous (uα := _)] rw [UniformFun.iInf_eq, uniformContinuous_iInf_rng] theorem uniformEquicontinuousOn_iInf_rng {u : κ → UniformSpace α'} {F : ι → β → α'} {S : Set β} : UniformEquicontinuousOn (uα := ⨅ k, u k) F S ↔ ∀ k, UniformEquicontinuousOn (uα := u k) F S := by simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uα := _)] unfold UniformContinuousOn rw [UniformFun.iInf_eq, iInf_uniformity, tendsto_iInf] theorem equicontinuousWithinAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α} {S : Set X'} {x₀ : X'} {k : κ} (hk : EquicontinuousWithinAt (tX := t k) F S x₀) : EquicontinuousWithinAt (tX := ⨅ k, t k) F S x₀ := by simp [equicontinuousWithinAt_iff_continuousWithinAt (tX := _)] at hk ⊢ unfold ContinuousWithinAt nhdsWithin at hk ⊢ rw [nhds_iInf] exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k theorem equicontinuousAt_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α} {x₀ : X'} {k : κ} (hk : EquicontinuousAt (tX := t k) F x₀) : EquicontinuousAt (tX := ⨅ k, t k) F x₀ := by rw [← equicontinuousWithinAt_univ (tX := _)] at hk ⊢ exact equicontinuousWithinAt_iInf_dom hk theorem equicontinuous_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α} {k : κ} (hk : Equicontinuous (tX := t k) F) : Equicontinuous (tX := ⨅ k, t k) F := fun x ↦ equicontinuousAt_iInf_dom (hk x) theorem equicontinuousOn_iInf_dom {t : κ → TopologicalSpace X'} {F : ι → X' → α} {S : Set X'} {k : κ} (hk : EquicontinuousOn (tX := t k) F S) : EquicontinuousOn (tX := ⨅ k, t k) F S := fun x hx ↦ equicontinuousWithinAt_iInf_dom (hk x hx) theorem uniformEquicontinuous_iInf_dom {u : κ → UniformSpace β'} {F : ι → β' → α} {k : κ} (hk : UniformEquicontinuous (uβ := u k) F) : UniformEquicontinuous (uβ := ⨅ k, u k) F := by simp_rw [uniformEquicontinuous_iff_uniformContinuous (uβ := _)] at hk ⊢ exact uniformContinuous_iInf_dom hk theorem uniformEquicontinuousOn_iInf_dom {u : κ → UniformSpace β'} {F : ι → β' → α} {S : Set β'} {k : κ} (hk : UniformEquicontinuousOn (uβ := u k) F S) : UniformEquicontinuousOn (uβ := ⨅ k, u k) F S := by simp_rw [uniformEquicontinuousOn_iff_uniformContinuousOn (uβ := _)] at hk ⊢ unfold UniformContinuousOn rw [iInf_uniformity] exact hk.mono_left <| inf_le_inf_right _ <| iInf_le _ k theorem Filter.HasBasis.equicontinuousAt_iff_left {p : κ → Prop} {s : κ → Set X} {F : ι → X → α} {x₀ : X} (hX : (𝓝 x₀).HasBasis p s) : EquicontinuousAt F x₀ ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x ∈ s k, ∀ i, (F i x₀, F i x) ∈ U := by rw [equicontinuousAt_iff_continuousAt, ContinuousAt, hX.tendsto_iff (UniformFun.hasBasis_nhds ι α _)] rfl #align filter.has_basis.equicontinuous_at_iff_left Filter.HasBasis.equicontinuousAt_iff_left theorem Filter.HasBasis.equicontinuousWithinAt_iff_left {p : κ → Prop} {s : κ → Set X} {F : ι → X → α} {S : Set X} {x₀ : X} (hX : (𝓝[S] x₀).HasBasis p s) : EquicontinuousWithinAt F S x₀ ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x ∈ s k, ∀ i, (F i x₀, F i x) ∈ U := by rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt, hX.tendsto_iff (UniformFun.hasBasis_nhds ι α _)] rfl theorem Filter.HasBasis.equicontinuousAt_iff_right {p : κ → Prop} {s : κ → Set (α × α)} {F : ι → X → α} {x₀ : X} (hα : (𝓤 α).HasBasis p s) : EquicontinuousAt F x₀ ↔ ∀ k, p k → ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ s k := by rw [equicontinuousAt_iff_continuousAt, ContinuousAt, (UniformFun.hasBasis_nhds_of_basis ι α _ hα).tendsto_right_iff] rfl #align filter.has_basis.equicontinuous_at_iff_right Filter.HasBasis.equicontinuousAt_iff_right theorem Filter.HasBasis.equicontinuousWithinAt_iff_right {p : κ → Prop} {s : κ → Set (α × α)} {F : ι → X → α} {S : Set X} {x₀ : X} (hα : (𝓤 α).HasBasis p s) : EquicontinuousWithinAt F S x₀ ↔ ∀ k, p k → ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ s k := by rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt, (UniformFun.hasBasis_nhds_of_basis ι α _ hα).tendsto_right_iff] rfl theorem Filter.HasBasis.equicontinuousAt_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop} {s₁ : κ₁ → Set X} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → X → α} {x₀ : X} (hX : (𝓝 x₀).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) : EquicontinuousAt F x₀ ↔ ∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x ∈ s₁ k₁, ∀ i, (F i x₀, F i x) ∈ s₂ k₂ := by rw [equicontinuousAt_iff_continuousAt, ContinuousAt, hX.tendsto_iff (UniformFun.hasBasis_nhds_of_basis ι α _ hα)] rfl #align filter.has_basis.equicontinuous_at_iff Filter.HasBasis.equicontinuousAt_iff theorem Filter.HasBasis.equicontinuousWithinAt_iff {κ₁ κ₂ : Type*} {p₁ : κ₁ → Prop} {s₁ : κ₁ → Set X} {p₂ : κ₂ → Prop} {s₂ : κ₂ → Set (α × α)} {F : ι → X → α} {S : Set X} {x₀ : X} (hX : (𝓝[S] x₀).HasBasis p₁ s₁) (hα : (𝓤 α).HasBasis p₂ s₂) : EquicontinuousWithinAt F S x₀ ↔ ∀ k₂, p₂ k₂ → ∃ k₁, p₁ k₁ ∧ ∀ x ∈ s₁ k₁, ∀ i, (F i x₀, F i x) ∈ s₂ k₂ := by rw [equicontinuousWithinAt_iff_continuousWithinAt, ContinuousWithinAt, hX.tendsto_iff (UniformFun.hasBasis_nhds_of_basis ι α _ hα)] rfl theorem Filter.HasBasis.uniformEquicontinuous_iff_left {p : κ → Prop} {s : κ → Set (β × β)} {F : ι → β → α} (hβ : (𝓤 β).HasBasis p s) : UniformEquicontinuous F ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x y, (x, y) ∈ s k → ∀ i, (F i x, F i y) ∈ U := by rw [uniformEquicontinuous_iff_uniformContinuous, UniformContinuous, hβ.tendsto_iff (UniformFun.hasBasis_uniformity ι α)] simp only [Prod.forall] rfl #align filter.has_basis.uniform_equicontinuous_iff_left Filter.HasBasis.uniformEquicontinuous_iff_left
Mathlib/Topology/UniformSpace/Equicontinuity.lean
692
699
theorem Filter.HasBasis.uniformEquicontinuousOn_iff_left {p : κ → Prop} {s : κ → Set (β × β)} {F : ι → β → α} {S : Set β} (hβ : (𝓤 β ⊓ 𝓟 (S ×ˢ S)).HasBasis p s) : UniformEquicontinuousOn F S ↔ ∀ U ∈ 𝓤 α, ∃ k, p k ∧ ∀ x y, (x, y) ∈ s k → ∀ i, (F i x, F i y) ∈ U := by
rw [uniformEquicontinuousOn_iff_uniformContinuousOn, UniformContinuousOn, hβ.tendsto_iff (UniformFun.hasBasis_uniformity ι α)] simp only [Prod.forall] rfl
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
66
79
theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by
calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _
import Mathlib.RingTheory.Derivation.ToSquareZero import Mathlib.RingTheory.Ideal.Cotangent import Mathlib.RingTheory.IsTensorProduct import Mathlib.Algebra.Exact import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.Derivation #align_import ring_theory.kaehler from "leanprover-community/mathlib"@"4b92a463033b5587bb011657e25e4710bfca7364" suppress_compilation section KaehlerDifferential open scoped TensorProduct open Algebra universe u v variable (R : Type u) (S : Type v) [CommRing R] [CommRing S] [Algebra R S] abbrev KaehlerDifferential.ideal : Ideal (S ⊗[R] S) := RingHom.ker (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S) #align kaehler_differential.ideal KaehlerDifferential.ideal variable {S} theorem KaehlerDifferential.one_smul_sub_smul_one_mem_ideal (a : S) : (1 : S) ⊗ₜ[R] a - a ⊗ₜ[R] (1 : S) ∈ KaehlerDifferential.ideal R S := by simp [RingHom.mem_ker] #align kaehler_differential.one_smul_sub_smul_one_mem_ideal KaehlerDifferential.one_smul_sub_smul_one_mem_ideal variable {R} variable {M : Type*} [AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M] def Derivation.tensorProductTo (D : Derivation R S M) : S ⊗[R] S →ₗ[S] M := TensorProduct.AlgebraTensorModule.lift ((LinearMap.lsmul S (S →ₗ[R] M)).flip D.toLinearMap) #align derivation.tensor_product_to Derivation.tensorProductTo theorem Derivation.tensorProductTo_tmul (D : Derivation R S M) (s t : S) : D.tensorProductTo (s ⊗ₜ t) = s • D t := rfl #align derivation.tensor_product_to_tmul Derivation.tensorProductTo_tmul theorem Derivation.tensorProductTo_mul (D : Derivation R S M) (x y : S ⊗[R] S) : D.tensorProductTo (x * y) = TensorProduct.lmul' (S := S) R x • D.tensorProductTo y + TensorProduct.lmul' (S := S) R y • D.tensorProductTo x := by refine TensorProduct.induction_on x ?_ ?_ ?_ · rw [zero_mul, map_zero, map_zero, zero_smul, smul_zero, add_zero] swap · intro x₁ y₁ h₁ h₂ rw [add_mul, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm] intro x₁ x₂ refine TensorProduct.induction_on y ?_ ?_ ?_ · rw [mul_zero, map_zero, map_zero, zero_smul, smul_zero, add_zero] swap · intro x₁ y₁ h₁ h₂ rw [mul_add, map_add, map_add, map_add, add_smul, smul_add, h₁, h₂, add_add_add_comm] intro x y simp only [TensorProduct.tmul_mul_tmul, Derivation.tensorProductTo, TensorProduct.AlgebraTensorModule.lift_apply, TensorProduct.lift.tmul', TensorProduct.lmul'_apply_tmul] dsimp rw [D.leibniz] simp only [smul_smul, smul_add, mul_comm (x * y) x₁, mul_right_comm x₁ x₂, ← mul_assoc] #align derivation.tensor_product_to_mul Derivation.tensorProductTo_mul variable (R S) theorem KaehlerDifferential.submodule_span_range_eq_ideal : Submodule.span S (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) = (KaehlerDifferential.ideal R S).restrictScalars S := by apply le_antisymm · rw [Submodule.span_le] rintro _ ⟨s, rfl⟩ exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _ · rintro x (hx : _ = _) have : x - TensorProduct.lmul' (S := S) R x ⊗ₜ[R] (1 : S) = x := by rw [hx, TensorProduct.zero_tmul, sub_zero] rw [← this] clear this hx refine TensorProduct.induction_on x ?_ ?_ ?_ · rw [map_zero, TensorProduct.zero_tmul, sub_zero]; exact zero_mem _ · intro x y have : x ⊗ₜ[R] y - (x * y) ⊗ₜ[R] (1 : S) = x • ((1 : S) ⊗ₜ y - y ⊗ₜ (1 : S)) := by simp_rw [smul_sub, TensorProduct.smul_tmul', smul_eq_mul, mul_one] rw [TensorProduct.lmul'_apply_tmul, this] refine Submodule.smul_mem _ x ?_ apply Submodule.subset_span exact Set.mem_range_self y · intro x y hx hy rw [map_add, TensorProduct.add_tmul, ← sub_add_sub_comm] exact add_mem hx hy #align kaehler_differential.submodule_span_range_eq_ideal KaehlerDifferential.submodule_span_range_eq_ideal theorem KaehlerDifferential.span_range_eq_ideal : Ideal.span (Set.range fun s : S => (1 : S) ⊗ₜ[R] s - s ⊗ₜ[R] (1 : S)) = KaehlerDifferential.ideal R S := by apply le_antisymm · rw [Ideal.span_le] rintro _ ⟨s, rfl⟩ exact KaehlerDifferential.one_smul_sub_smul_one_mem_ideal _ _ · change (KaehlerDifferential.ideal R S).restrictScalars S ≤ (Ideal.span _).restrictScalars S rw [← KaehlerDifferential.submodule_span_range_eq_ideal, Ideal.span] conv_rhs => rw [← Submodule.span_span_of_tower S] exact Submodule.subset_span #align kaehler_differential.span_range_eq_ideal KaehlerDifferential.span_range_eq_ideal def KaehlerDifferential : Type v := (KaehlerDifferential.ideal R S).Cotangent #align kaehler_differential KaehlerDifferential instance : AddCommGroup (KaehlerDifferential R S) := by unfold KaehlerDifferential infer_instance instance KaehlerDifferential.module : Module (S ⊗[R] S) (KaehlerDifferential R S) := Ideal.Cotangent.moduleOfTower _ #align kaehler_differential.module KaehlerDifferential.module @[inherit_doc KaehlerDifferential] notation:100 "Ω[" S "⁄" R "]" => KaehlerDifferential R S instance : Nonempty (Ω[S⁄R]) := ⟨0⟩ instance KaehlerDifferential.module' {R' : Type*} [CommRing R'] [Algebra R' S] [SMulCommClass R R' S] : Module R' (Ω[S⁄R]) := Submodule.Quotient.module' _ #align kaehler_differential.module' KaehlerDifferential.module' instance : IsScalarTower S (S ⊗[R] S) (Ω[S⁄R]) := Ideal.Cotangent.isScalarTower _ instance KaehlerDifferential.isScalarTower_of_tower {R₁ R₂ : Type*} [CommRing R₁] [CommRing R₂] [Algebra R₁ S] [Algebra R₂ S] [SMul R₁ R₂] [SMulCommClass R R₁ S] [SMulCommClass R R₂ S] [IsScalarTower R₁ R₂ S] : IsScalarTower R₁ R₂ (Ω[S⁄R]) := Submodule.Quotient.isScalarTower _ _ #align kaehler_differential.is_scalar_tower_of_tower KaehlerDifferential.isScalarTower_of_tower instance KaehlerDifferential.isScalarTower' : IsScalarTower R (S ⊗[R] S) (Ω[S⁄R]) := Submodule.Quotient.isScalarTower _ _ #align kaehler_differential.is_scalar_tower' KaehlerDifferential.isScalarTower' def KaehlerDifferential.fromIdeal : KaehlerDifferential.ideal R S →ₗ[S ⊗[R] S] Ω[S⁄R] := (KaehlerDifferential.ideal R S).toCotangent #align kaehler_differential.from_ideal KaehlerDifferential.fromIdeal def KaehlerDifferential.DLinearMap : S →ₗ[R] Ω[S⁄R] := ((KaehlerDifferential.fromIdeal R S).restrictScalars R).comp ((TensorProduct.includeRight.toLinearMap - TensorProduct.includeLeft.toLinearMap : S →ₗ[R] S ⊗[R] S).codRestrict ((KaehlerDifferential.ideal R S).restrictScalars R) (KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R) : _ →ₗ[R] _) set_option linter.uppercaseLean3 false in #align kaehler_differential.D_linear_map KaehlerDifferential.DLinearMap theorem KaehlerDifferential.DLinearMap_apply (s : S) : KaehlerDifferential.DLinearMap R S s = (KaehlerDifferential.ideal R S).toCotangent ⟨1 ⊗ₜ s - s ⊗ₜ 1, KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R s⟩ := rfl set_option linter.uppercaseLean3 false in #align kaehler_differential.D_linear_map_apply KaehlerDifferential.DLinearMap_apply def KaehlerDifferential.D : Derivation R S (Ω[S⁄R]) := { toLinearMap := KaehlerDifferential.DLinearMap R S map_one_eq_zero' := by dsimp [KaehlerDifferential.DLinearMap_apply, Ideal.toCotangent_apply] congr rw [sub_self] leibniz' := fun a b => by have : LinearMap.CompatibleSMul { x // x ∈ ideal R S } (Ω[S⁄R]) S (S ⊗[R] S) := inferInstance dsimp [KaehlerDifferential.DLinearMap_apply] -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [← LinearMap.map_smul_of_tower (M₂ := Ω[S⁄R]), ← LinearMap.map_smul_of_tower (M₂ := Ω[S⁄R]), ← map_add, Ideal.toCotangent_eq, pow_two] convert Submodule.mul_mem_mul (KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R a : _) (KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R b : _) using 1 simp only [AddSubgroupClass.coe_sub, Submodule.coe_add, Submodule.coe_mk, TensorProduct.tmul_mul_tmul, mul_sub, sub_mul, mul_comm b, Submodule.coe_smul_of_tower, smul_sub, TensorProduct.smul_tmul', smul_eq_mul, mul_one] ring_nf } set_option linter.uppercaseLean3 false in #align kaehler_differential.D KaehlerDifferential.D theorem KaehlerDifferential.D_apply (s : S) : KaehlerDifferential.D R S s = (KaehlerDifferential.ideal R S).toCotangent ⟨1 ⊗ₜ s - s ⊗ₜ 1, KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R s⟩ := rfl set_option linter.uppercaseLean3 false in #align kaehler_differential.D_apply KaehlerDifferential.D_apply theorem KaehlerDifferential.span_range_derivation : Submodule.span S (Set.range <| KaehlerDifferential.D R S) = ⊤ := by rw [_root_.eq_top_iff] rintro x - obtain ⟨⟨x, hx⟩, rfl⟩ := Ideal.toCotangent_surjective _ x have : x ∈ (KaehlerDifferential.ideal R S).restrictScalars S := hx rw [← KaehlerDifferential.submodule_span_range_eq_ideal] at this suffices ∃ hx, (KaehlerDifferential.ideal R S).toCotangent ⟨x, hx⟩ ∈ Submodule.span S (Set.range <| KaehlerDifferential.D R S) by exact this.choose_spec refine Submodule.span_induction this ?_ ?_ ?_ ?_ · rintro _ ⟨x, rfl⟩ refine ⟨KaehlerDifferential.one_smul_sub_smul_one_mem_ideal R x, ?_⟩ apply Submodule.subset_span exact ⟨x, KaehlerDifferential.DLinearMap_apply R S x⟩ · exact ⟨zero_mem _, Submodule.zero_mem _⟩ · rintro x y ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩; exact ⟨add_mem hx₁ hy₁, Submodule.add_mem _ hx₂ hy₂⟩ · rintro r x ⟨hx₁, hx₂⟩; exact ⟨((KaehlerDifferential.ideal R S).restrictScalars S).smul_mem r hx₁, Submodule.smul_mem _ r hx₂⟩ #align kaehler_differential.span_range_derivation KaehlerDifferential.span_range_derivation variable {R S} def Derivation.liftKaehlerDifferential (D : Derivation R S M) : Ω[S⁄R] →ₗ[S] M := by refine LinearMap.comp ((((KaehlerDifferential.ideal R S) • (⊤ : Submodule (S ⊗[R] S) (KaehlerDifferential.ideal R S))).restrictScalars S).liftQ ?_ ?_) (Submodule.Quotient.restrictScalarsEquiv S _).symm.toLinearMap · exact D.tensorProductTo.comp ((KaehlerDifferential.ideal R S).subtype.restrictScalars S) · intro x hx rw [LinearMap.mem_ker] refine Submodule.smul_induction_on hx ?_ ?_ · rintro x hx y - rw [RingHom.mem_ker] at hx dsimp rw [Derivation.tensorProductTo_mul, hx, y.prop, zero_smul, zero_smul, zero_add] · intro x y ex ey; rw [map_add, ex, ey, zero_add] #align derivation.lift_kaehler_differential Derivation.liftKaehlerDifferential theorem Derivation.liftKaehlerDifferential_apply (D : Derivation R S M) (x) : D.liftKaehlerDifferential ((KaehlerDifferential.ideal R S).toCotangent x) = D.tensorProductTo x := rfl #align derivation.lift_kaehler_differential_apply Derivation.liftKaehlerDifferential_apply theorem Derivation.liftKaehlerDifferential_comp (D : Derivation R S M) : D.liftKaehlerDifferential.compDer (KaehlerDifferential.D R S) = D := by ext a dsimp [KaehlerDifferential.D_apply] refine (D.liftKaehlerDifferential_apply _).trans ?_ rw [Subtype.coe_mk, map_sub, Derivation.tensorProductTo_tmul, Derivation.tensorProductTo_tmul, one_smul, D.map_one_eq_zero, smul_zero, sub_zero] #align derivation.lift_kaehler_differential_comp Derivation.liftKaehlerDifferential_comp @[simp] theorem Derivation.liftKaehlerDifferential_comp_D (D' : Derivation R S M) (x : S) : D'.liftKaehlerDifferential (KaehlerDifferential.D R S x) = D' x := Derivation.congr_fun D'.liftKaehlerDifferential_comp x set_option linter.uppercaseLean3 false in #align derivation.lift_kaehler_differential_comp_D Derivation.liftKaehlerDifferential_comp_D @[ext] theorem Derivation.liftKaehlerDifferential_unique (f f' : Ω[S⁄R] →ₗ[S] M) (hf : f.compDer (KaehlerDifferential.D R S) = f'.compDer (KaehlerDifferential.D R S)) : f = f' := by apply LinearMap.ext intro x have : x ∈ Submodule.span S (Set.range <| KaehlerDifferential.D R S) := by rw [KaehlerDifferential.span_range_derivation]; trivial refine Submodule.span_induction this ?_ ?_ ?_ ?_ · rintro _ ⟨x, rfl⟩; exact congr_arg (fun D : Derivation R S M => D x) hf · rw [map_zero, map_zero] · intro x y hx hy; rw [map_add, map_add, hx, hy] · intro a x e; simp [e] #align derivation.lift_kaehler_differential_unique Derivation.liftKaehlerDifferential_unique variable (R S) theorem Derivation.liftKaehlerDifferential_D : (KaehlerDifferential.D R S).liftKaehlerDifferential = LinearMap.id := Derivation.liftKaehlerDifferential_unique _ _ (KaehlerDifferential.D R S).liftKaehlerDifferential_comp set_option linter.uppercaseLean3 false in #align derivation.lift_kaehler_differential_D Derivation.liftKaehlerDifferential_D variable {R S} theorem KaehlerDifferential.D_tensorProductTo (x : KaehlerDifferential.ideal R S) : (KaehlerDifferential.D R S).tensorProductTo x = (KaehlerDifferential.ideal R S).toCotangent x := by rw [← Derivation.liftKaehlerDifferential_apply, Derivation.liftKaehlerDifferential_D] rfl set_option linter.uppercaseLean3 false in #align kaehler_differential.D_tensor_product_to KaehlerDifferential.D_tensorProductTo variable (R S) theorem KaehlerDifferential.tensorProductTo_surjective : Function.Surjective (KaehlerDifferential.D R S).tensorProductTo := by intro x; obtain ⟨x, rfl⟩ := (KaehlerDifferential.ideal R S).toCotangent_surjective x exact ⟨x, KaehlerDifferential.D_tensorProductTo x⟩ #align kaehler_differential.tensor_product_to_surjective KaehlerDifferential.tensorProductTo_surjective @[simps! symm_apply apply_apply] def KaehlerDifferential.linearMapEquivDerivation : (Ω[S⁄R] →ₗ[S] M) ≃ₗ[S] Derivation R S M := { Derivation.llcomp.flip <| KaehlerDifferential.D R S with invFun := Derivation.liftKaehlerDifferential left_inv := fun _ => Derivation.liftKaehlerDifferential_unique _ _ (Derivation.liftKaehlerDifferential_comp _) right_inv := Derivation.liftKaehlerDifferential_comp } #align kaehler_differential.linear_map_equiv_derivation KaehlerDifferential.linearMapEquivDerivation def KaehlerDifferential.quotientCotangentIdealRingEquiv : (S ⊗ S ⧸ KaehlerDifferential.ideal R S ^ 2) ⧸ (KaehlerDifferential.ideal R S).cotangentIdeal ≃+* S := by have : Function.RightInverse (TensorProduct.includeLeft (R := R) (S := R) (A := S) (B := S)) (↑(TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S) : S ⊗[R] S →+* S) := by intro x; rw [AlgHom.coe_toRingHom, ← AlgHom.comp_apply, TensorProduct.lmul'_comp_includeLeft] rfl refine (Ideal.quotCotangent _).trans ?_ refine (Ideal.quotEquivOfEq ?_).trans (RingHom.quotientKerEquivOfRightInverse this) ext; rfl #align kaehler_differential.quotient_cotangent_ideal_ring_equiv KaehlerDifferential.quotientCotangentIdealRingEquiv def KaehlerDifferential.quotientCotangentIdeal : ((S ⊗ S ⧸ KaehlerDifferential.ideal R S ^ 2) ⧸ (KaehlerDifferential.ideal R S).cotangentIdeal) ≃ₐ[S] S := { KaehlerDifferential.quotientCotangentIdealRingEquiv R S with commutes' := (KaehlerDifferential.quotientCotangentIdealRingEquiv R S).apply_symm_apply } #align kaehler_differential.quotient_cotangent_ideal KaehlerDifferential.quotientCotangentIdeal theorem KaehlerDifferential.End_equiv_aux (f : S →ₐ[R] S ⊗ S ⧸ KaehlerDifferential.ideal R S ^ 2) : (Ideal.Quotient.mkₐ R (KaehlerDifferential.ideal R S).cotangentIdeal).comp f = IsScalarTower.toAlgHom R S _ ↔ (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift.comp f = AlgHom.id R S := by rw [AlgHom.ext_iff, AlgHom.ext_iff] apply forall_congr' intro x have e₁ : (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift (f x) = KaehlerDifferential.quotientCotangentIdealRingEquiv R S (Ideal.Quotient.mk (KaehlerDifferential.ideal R S).cotangentIdeal <| f x) := by generalize f x = y; obtain ⟨y, rfl⟩ := Ideal.Quotient.mk_surjective y; rfl have e₂ : x = KaehlerDifferential.quotientCotangentIdealRingEquiv R S (IsScalarTower.toAlgHom R S _ x) := (mul_one x).symm constructor · intro e exact (e₁.trans (@RingEquiv.congr_arg _ _ _ _ _ _ (KaehlerDifferential.quotientCotangentIdealRingEquiv R S) _ _ e)).trans e₂.symm · intro e; apply (KaehlerDifferential.quotientCotangentIdealRingEquiv R S).injective exact e₁.symm.trans (e.trans e₂) #align kaehler_differential.End_equiv_aux KaehlerDifferential.End_equiv_aux local instance smul_SSmod_SSmod : SMul (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Mul.toSMul _ @[nolint defLemma] local instance isScalarTower_S_right : IsScalarTower S (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Ideal.Quotient.isScalarTower_right @[nolint defLemma] local instance isScalarTower_R_right : IsScalarTower R (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Ideal.Quotient.isScalarTower_right @[nolint defLemma] local instance isScalarTower_SS_right : IsScalarTower (S ⊗[R] S) (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) (S ⊗[R] S ⧸ KaehlerDifferential.ideal R S ^ 2) := Ideal.Quotient.isScalarTower_right local instance instS : Module S (KaehlerDifferential.ideal R S).cotangentIdeal := Submodule.module' _ local instance instR : Module R (KaehlerDifferential.ideal R S).cotangentIdeal := Submodule.module' _ local instance instSS : Module (S ⊗[R] S) (KaehlerDifferential.ideal R S).cotangentIdeal := Submodule.module' _ noncomputable def KaehlerDifferential.endEquivDerivation' : Derivation R S (Ω[S⁄R]) ≃ₗ[R] Derivation R S (ideal R S).cotangentIdeal := LinearEquiv.compDer ((KaehlerDifferential.ideal R S).cotangentEquivIdeal.restrictScalars S) #align kaehler_differential.End_equiv_derivation' KaehlerDifferential.endEquivDerivation' def KaehlerDifferential.endEquivAuxEquiv : { f // (Ideal.Quotient.mkₐ R (KaehlerDifferential.ideal R S).cotangentIdeal).comp f = IsScalarTower.toAlgHom R S _ } ≃ { f // (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift.comp f = AlgHom.id R S } := (Equiv.refl _).subtypeEquiv (KaehlerDifferential.End_equiv_aux R S) #align kaehler_differential.End_equiv_aux_equiv KaehlerDifferential.endEquivAuxEquiv noncomputable def KaehlerDifferential.endEquiv : Module.End S (Ω[S⁄R]) ≃ { f // (TensorProduct.lmul' R : S ⊗[R] S →ₐ[R] S).kerSquareLift.comp f = AlgHom.id R S } := (KaehlerDifferential.linearMapEquivDerivation R S).toEquiv.trans <| (KaehlerDifferential.endEquivDerivation' R S).toEquiv.trans <| (derivationToSquareZeroEquivLift (KaehlerDifferential.ideal R S).cotangentIdeal (KaehlerDifferential.ideal R S).cotangentIdeal_square).trans <| KaehlerDifferential.endEquivAuxEquiv R S #align kaehler_differential.End_equiv KaehlerDifferential.endEquiv section Presentation open KaehlerDifferential (D) open Finsupp (single) noncomputable def KaehlerDifferential.kerTotal : Submodule S (S →₀ S) := Submodule.span S (((Set.range fun x : S × S => single x.1 1 + single x.2 1 - single (x.1 + x.2) 1) ∪ Set.range fun x : S × S => single x.2 x.1 + single x.1 x.2 - single (x.1 * x.2) 1) ∪ Set.range fun x : R => single (algebraMap R S x) 1) #align kaehler_differential.ker_total KaehlerDifferential.kerTotal unsuppress_compilation in -- Porting note: was `local notation x "𝖣" y => (KaehlerDifferential.kerTotal R S).mkQ (single y x)` -- but not having `DFunLike.coe` leads to `kerTotal_mkQ_single_smul` failing. local notation3 x "𝖣" y => DFunLike.coe (KaehlerDifferential.kerTotal R S).mkQ (single y x) theorem KaehlerDifferential.kerTotal_mkQ_single_add (x y z) : (z𝖣x + y) = (z𝖣x) + z𝖣y := by rw [← map_add, eq_comm, ← sub_eq_zero, ← map_sub (Submodule.mkQ (kerTotal R S)), Submodule.mkQ_apply, Submodule.Quotient.mk_eq_zero] simp_rw [← Finsupp.smul_single_one _ z, ← smul_add, ← smul_sub] exact Submodule.smul_mem _ _ (Submodule.subset_span (Or.inl <| Or.inl <| ⟨⟨_, _⟩, rfl⟩)) #align kaehler_differential.ker_total_mkq_single_add KaehlerDifferential.kerTotal_mkQ_single_add theorem KaehlerDifferential.kerTotal_mkQ_single_mul (x y z) : (z𝖣x * y) = ((z * x)𝖣y) + (z * y)𝖣x := by rw [← map_add, eq_comm, ← sub_eq_zero, ← map_sub (Submodule.mkQ (kerTotal R S)), Submodule.mkQ_apply, Submodule.Quotient.mk_eq_zero] simp_rw [← Finsupp.smul_single_one _ z, ← @smul_eq_mul _ _ z, ← Finsupp.smul_single, ← smul_add, ← smul_sub] exact Submodule.smul_mem _ _ (Submodule.subset_span (Or.inl <| Or.inr <| ⟨⟨_, _⟩, rfl⟩)) #align kaehler_differential.ker_total_mkq_single_mul KaehlerDifferential.kerTotal_mkQ_single_mul theorem KaehlerDifferential.kerTotal_mkQ_single_algebraMap (x y) : (y𝖣algebraMap R S x) = 0 := by rw [Submodule.mkQ_apply, Submodule.Quotient.mk_eq_zero, ← Finsupp.smul_single_one _ y] exact Submodule.smul_mem _ _ (Submodule.subset_span (Or.inr <| ⟨_, rfl⟩)) #align kaehler_differential.ker_total_mkq_single_algebra_map KaehlerDifferential.kerTotal_mkQ_single_algebraMap theorem KaehlerDifferential.kerTotal_mkQ_single_algebraMap_one (x) : (x𝖣1) = 0 := by rw [← (algebraMap R S).map_one, KaehlerDifferential.kerTotal_mkQ_single_algebraMap] #align kaehler_differential.ker_total_mkq_single_algebra_map_one KaehlerDifferential.kerTotal_mkQ_single_algebraMap_one theorem KaehlerDifferential.kerTotal_mkQ_single_smul (r : R) (x y) : (y𝖣r • x) = r • y𝖣x := by letI : SMulZeroClass R S := inferInstance rw [Algebra.smul_def, KaehlerDifferential.kerTotal_mkQ_single_mul, KaehlerDifferential.kerTotal_mkQ_single_algebraMap, add_zero, ← LinearMap.map_smul_of_tower, Finsupp.smul_single, mul_comm, Algebra.smul_def] #align kaehler_differential.ker_total_mkq_single_smul KaehlerDifferential.kerTotal_mkQ_single_smul noncomputable def KaehlerDifferential.derivationQuotKerTotal : Derivation R S ((S →₀ S) ⧸ KaehlerDifferential.kerTotal R S) where toFun x := 1𝖣x map_add' x y := KaehlerDifferential.kerTotal_mkQ_single_add _ _ _ _ _ map_smul' r s := KaehlerDifferential.kerTotal_mkQ_single_smul _ _ _ _ _ map_one_eq_zero' := KaehlerDifferential.kerTotal_mkQ_single_algebraMap_one _ _ _ leibniz' a b := (KaehlerDifferential.kerTotal_mkQ_single_mul _ _ _ _ _).trans (by simp_rw [← Finsupp.smul_single_one _ (1 * _ : S)]; dsimp; simp) #align kaehler_differential.derivation_quot_ker_total KaehlerDifferential.derivationQuotKerTotal theorem KaehlerDifferential.derivationQuotKerTotal_apply (x) : KaehlerDifferential.derivationQuotKerTotal R S x = 1𝖣x := rfl #align kaehler_differential.derivation_quot_ker_total_apply KaehlerDifferential.derivationQuotKerTotal_apply theorem KaehlerDifferential.derivationQuotKerTotal_lift_comp_total : (KaehlerDifferential.derivationQuotKerTotal R S).liftKaehlerDifferential.comp (Finsupp.total S (Ω[S⁄R]) S (KaehlerDifferential.D R S)) = Submodule.mkQ _ := by apply Finsupp.lhom_ext intro a b conv_rhs => rw [← Finsupp.smul_single_one a b, LinearMap.map_smul] simp [KaehlerDifferential.derivationQuotKerTotal_apply] #align kaehler_differential.derivation_quot_ker_total_lift_comp_total KaehlerDifferential.derivationQuotKerTotal_lift_comp_total theorem KaehlerDifferential.kerTotal_eq : LinearMap.ker (Finsupp.total S (Ω[S⁄R]) S (KaehlerDifferential.D R S)) = KaehlerDifferential.kerTotal R S := by apply le_antisymm · conv_rhs => rw [← (KaehlerDifferential.kerTotal R S).ker_mkQ] rw [← KaehlerDifferential.derivationQuotKerTotal_lift_comp_total] exact LinearMap.ker_le_ker_comp _ _ · rw [KaehlerDifferential.kerTotal, Submodule.span_le] rintro _ ((⟨⟨x, y⟩, rfl⟩ | ⟨⟨x, y⟩, rfl⟩) | ⟨x, rfl⟩) <;> dsimp <;> simp [LinearMap.mem_ker] #align kaehler_differential.ker_total_eq KaehlerDifferential.kerTotal_eq theorem KaehlerDifferential.total_surjective : Function.Surjective (Finsupp.total S (Ω[S⁄R]) S (KaehlerDifferential.D R S)) := by rw [← LinearMap.range_eq_top, Finsupp.range_total, KaehlerDifferential.span_range_derivation] #align kaehler_differential.total_surjective KaehlerDifferential.total_surjective @[simps!] noncomputable def KaehlerDifferential.quotKerTotalEquiv : ((S →₀ S) ⧸ KaehlerDifferential.kerTotal R S) ≃ₗ[S] Ω[S⁄R] := { (KaehlerDifferential.kerTotal R S).liftQ (Finsupp.total S (Ω[S⁄R]) S (KaehlerDifferential.D R S)) (KaehlerDifferential.kerTotal_eq R S).ge with invFun := (KaehlerDifferential.derivationQuotKerTotal R S).liftKaehlerDifferential left_inv := by intro x obtain ⟨x, rfl⟩ := Submodule.mkQ_surjective _ x exact LinearMap.congr_fun (KaehlerDifferential.derivationQuotKerTotal_lift_comp_total R S : _) x right_inv := by intro x obtain ⟨x, rfl⟩ := KaehlerDifferential.total_surjective R S x have := LinearMap.congr_fun (KaehlerDifferential.derivationQuotKerTotal_lift_comp_total R S) x rw [LinearMap.comp_apply] at this rw [this] rfl } #align kaehler_differential.quot_ker_total_equiv KaehlerDifferential.quotKerTotalEquiv
Mathlib/RingTheory/Kaehler.lean
592
596
theorem KaehlerDifferential.quotKerTotalEquiv_symm_comp_D : (KaehlerDifferential.quotKerTotalEquiv R S).symm.toLinearMap.compDer (KaehlerDifferential.D R S) = KaehlerDifferential.derivationQuotKerTotal R S := by
convert (KaehlerDifferential.derivationQuotKerTotal R S).liftKaehlerDifferential_comp
import Mathlib.Tactic.CategoryTheory.Coherence import Mathlib.CategoryTheory.Monoidal.Free.Coherence #align_import category_theory.monoidal.coherence_lemmas from "leanprover-community/mathlib"@"b8b8bf3ea0c625fa1f950034a184e07c67f7bcfe" open CategoryTheory Category Iso namespace CategoryTheory.MonoidalCategory variable {C : Type*} [Category C] [MonoidalCategory C] -- See Proposition 2.2.4 of <http://www-math.mit.edu/~etingof/egnobookfinal.pdf> @[reassoc]
Mathlib/CategoryTheory/Monoidal/CoherenceLemmas.lean
30
32
theorem leftUnitor_tensor'' (X Y : C) : (α_ (𝟙_ C) X Y).hom ≫ (λ_ (X ⊗ Y)).hom = (λ_ X).hom ⊗ 𝟙 Y := by
coherence
import Mathlib.Data.Set.Subsingleton import Mathlib.Logic.Equiv.Defs import Mathlib.Algebra.Group.Defs #align_import data.part from "leanprover-community/mathlib"@"80c43012d26f63026d362c3aba28f3c3bafb07e6" open Function structure Part.{u} (α : Type u) : Type u where Dom : Prop get : Dom → α #align part Part namespace Part variable {α : Type*} {β : Type*} {γ : Type*} def toOption (o : Part α) [Decidable o.Dom] : Option α := if h : Dom o then some (o.get h) else none #align part.to_option Part.toOption @[simp] lemma toOption_isSome (o : Part α) [Decidable o.Dom] : o.toOption.isSome ↔ o.Dom := by by_cases h : o.Dom <;> simp [h, toOption] #align part.to_option_is_some Part.toOption_isSome @[simp] lemma toOption_isNone (o : Part α) [Decidable o.Dom] : o.toOption.isNone ↔ ¬o.Dom := by by_cases h : o.Dom <;> simp [h, toOption] #align part.to_option_is_none Part.toOption_isNone theorem ext' : ∀ {o p : Part α}, (o.Dom ↔ p.Dom) → (∀ h₁ h₂, o.get h₁ = p.get h₂) → o = p | ⟨od, o⟩, ⟨pd, p⟩, H1, H2 => by have t : od = pd := propext H1 cases t; rw [show o = p from funext fun p => H2 p p] #align part.ext' Part.ext' @[simp] theorem eta : ∀ o : Part α, (⟨o.Dom, fun h => o.get h⟩ : Part α) = o | ⟨_, _⟩ => rfl #align part.eta Part.eta protected def Mem (a : α) (o : Part α) : Prop := ∃ h, o.get h = a #align part.mem Part.Mem instance : Membership α (Part α) := ⟨Part.Mem⟩ theorem mem_eq (a : α) (o : Part α) : (a ∈ o) = ∃ h, o.get h = a := rfl #align part.mem_eq Part.mem_eq theorem dom_iff_mem : ∀ {o : Part α}, o.Dom ↔ ∃ y, y ∈ o | ⟨_, f⟩ => ⟨fun h => ⟨f h, h, rfl⟩, fun ⟨_, h, rfl⟩ => h⟩ #align part.dom_iff_mem Part.dom_iff_mem theorem get_mem {o : Part α} (h) : get o h ∈ o := ⟨_, rfl⟩ #align part.get_mem Part.get_mem @[simp] theorem mem_mk_iff {p : Prop} {o : p → α} {a : α} : a ∈ Part.mk p o ↔ ∃ h, o h = a := Iff.rfl #align part.mem_mk_iff Part.mem_mk_iff @[ext] theorem ext {o p : Part α} (H : ∀ a, a ∈ o ↔ a ∈ p) : o = p := (ext' ⟨fun h => ((H _).1 ⟨h, rfl⟩).fst, fun h => ((H _).2 ⟨h, rfl⟩).fst⟩) fun _ _ => ((H _).2 ⟨_, rfl⟩).snd #align part.ext Part.ext def none : Part α := ⟨False, False.rec⟩ #align part.none Part.none instance : Inhabited (Part α) := ⟨none⟩ @[simp] theorem not_mem_none (a : α) : a ∉ @none α := fun h => h.fst #align part.not_mem_none Part.not_mem_none def some (a : α) : Part α := ⟨True, fun _ => a⟩ #align part.some Part.some @[simp] theorem some_dom (a : α) : (some a).Dom := trivial #align part.some_dom Part.some_dom theorem mem_unique : ∀ {a b : α} {o : Part α}, a ∈ o → b ∈ o → a = b | _, _, ⟨_, _⟩, ⟨_, rfl⟩, ⟨_, rfl⟩ => rfl #align part.mem_unique Part.mem_unique theorem Mem.left_unique : Relator.LeftUnique ((· ∈ ·) : α → Part α → Prop) := fun _ _ _ => mem_unique #align part.mem.left_unique Part.Mem.left_unique theorem get_eq_of_mem {o : Part α} {a} (h : a ∈ o) (h') : get o h' = a := mem_unique ⟨_, rfl⟩ h #align part.get_eq_of_mem Part.get_eq_of_mem protected theorem subsingleton (o : Part α) : Set.Subsingleton { a | a ∈ o } := fun _ ha _ hb => mem_unique ha hb #align part.subsingleton Part.subsingleton @[simp] theorem get_some {a : α} (ha : (some a).Dom) : get (some a) ha = a := rfl #align part.get_some Part.get_some theorem mem_some (a : α) : a ∈ some a := ⟨trivial, rfl⟩ #align part.mem_some Part.mem_some @[simp] theorem mem_some_iff {a b} : b ∈ (some a : Part α) ↔ b = a := ⟨fun ⟨_, e⟩ => e.symm, fun e => ⟨trivial, e.symm⟩⟩ #align part.mem_some_iff Part.mem_some_iff theorem eq_some_iff {a : α} {o : Part α} : o = some a ↔ a ∈ o := ⟨fun e => e.symm ▸ mem_some _, fun ⟨h, e⟩ => e ▸ ext' (iff_true_intro h) fun _ _ => rfl⟩ #align part.eq_some_iff Part.eq_some_iff theorem eq_none_iff {o : Part α} : o = none ↔ ∀ a, a ∉ o := ⟨fun e => e.symm ▸ not_mem_none, fun h => ext (by simpa)⟩ #align part.eq_none_iff Part.eq_none_iff theorem eq_none_iff' {o : Part α} : o = none ↔ ¬o.Dom := ⟨fun e => e.symm ▸ id, fun h => eq_none_iff.2 fun _ h' => h h'.fst⟩ #align part.eq_none_iff' Part.eq_none_iff' @[simp] theorem not_none_dom : ¬(none : Part α).Dom := id #align part.not_none_dom Part.not_none_dom @[simp] theorem some_ne_none (x : α) : some x ≠ none := by intro h exact true_ne_false (congr_arg Dom h) #align part.some_ne_none Part.some_ne_none @[simp] theorem none_ne_some (x : α) : none ≠ some x := (some_ne_none x).symm #align part.none_ne_some Part.none_ne_some theorem ne_none_iff {o : Part α} : o ≠ none ↔ ∃ x, o = some x := by constructor · rw [Ne, eq_none_iff', not_not] exact fun h => ⟨o.get h, eq_some_iff.2 (get_mem h)⟩ · rintro ⟨x, rfl⟩ apply some_ne_none #align part.ne_none_iff Part.ne_none_iff theorem eq_none_or_eq_some (o : Part α) : o = none ∨ ∃ x, o = some x := or_iff_not_imp_left.2 ne_none_iff.1 #align part.eq_none_or_eq_some Part.eq_none_or_eq_some theorem some_injective : Injective (@Part.some α) := fun _ _ h => congr_fun (eq_of_heq (Part.mk.inj h).2) trivial #align part.some_injective Part.some_injective @[simp] theorem some_inj {a b : α} : Part.some a = some b ↔ a = b := some_injective.eq_iff #align part.some_inj Part.some_inj @[simp] theorem some_get {a : Part α} (ha : a.Dom) : Part.some (Part.get a ha) = a := Eq.symm (eq_some_iff.2 ⟨ha, rfl⟩) #align part.some_get Part.some_get theorem get_eq_iff_eq_some {a : Part α} {ha : a.Dom} {b : α} : a.get ha = b ↔ a = some b := ⟨fun h => by simp [h.symm], fun h => by simp [h]⟩ #align part.get_eq_iff_eq_some Part.get_eq_iff_eq_some theorem get_eq_get_of_eq (a : Part α) (ha : a.Dom) {b : Part α} (h : a = b) : a.get ha = b.get (h ▸ ha) := by congr #align part.get_eq_get_of_eq Part.get_eq_get_of_eq theorem get_eq_iff_mem {o : Part α} {a : α} (h : o.Dom) : o.get h = a ↔ a ∈ o := ⟨fun H => ⟨h, H⟩, fun ⟨_, H⟩ => H⟩ #align part.get_eq_iff_mem Part.get_eq_iff_mem theorem eq_get_iff_mem {o : Part α} {a : α} (h : o.Dom) : a = o.get h ↔ a ∈ o := eq_comm.trans (get_eq_iff_mem h) #align part.eq_get_iff_mem Part.eq_get_iff_mem @[simp] theorem none_toOption [Decidable (@none α).Dom] : (none : Part α).toOption = Option.none := dif_neg id #align part.none_to_option Part.none_toOption @[simp] theorem some_toOption (a : α) [Decidable (some a).Dom] : (some a).toOption = Option.some a := dif_pos trivial #align part.some_to_option Part.some_toOption instance noneDecidable : Decidable (@none α).Dom := instDecidableFalse #align part.none_decidable Part.noneDecidable instance someDecidable (a : α) : Decidable (some a).Dom := instDecidableTrue #align part.some_decidable Part.someDecidable def getOrElse (a : Part α) [Decidable a.Dom] (d : α) := if ha : a.Dom then a.get ha else d #align part.get_or_else Part.getOrElse theorem getOrElse_of_dom (a : Part α) (h : a.Dom) [Decidable a.Dom] (d : α) : getOrElse a d = a.get h := dif_pos h #align part.get_or_else_of_dom Part.getOrElse_of_dom theorem getOrElse_of_not_dom (a : Part α) (h : ¬a.Dom) [Decidable a.Dom] (d : α) : getOrElse a d = d := dif_neg h #align part.get_or_else_of_not_dom Part.getOrElse_of_not_dom @[simp] theorem getOrElse_none (d : α) [Decidable (none : Part α).Dom] : getOrElse none d = d := none.getOrElse_of_not_dom not_none_dom d #align part.get_or_else_none Part.getOrElse_none @[simp] theorem getOrElse_some (a : α) (d : α) [Decidable (some a).Dom] : getOrElse (some a) d = a := (some a).getOrElse_of_dom (some_dom a) d #align part.get_or_else_some Part.getOrElse_some -- Porting note: removed `simp` theorem mem_toOption {o : Part α} [Decidable o.Dom] {a : α} : a ∈ toOption o ↔ a ∈ o := by unfold toOption by_cases h : o.Dom <;> simp [h] · exact ⟨fun h => ⟨_, h⟩, fun ⟨_, h⟩ => h⟩ · exact mt Exists.fst h #align part.mem_to_option Part.mem_toOption -- Porting note (#10756): new theorem, like `mem_toOption` but with LHS in `simp` normal form @[simp] theorem toOption_eq_some_iff {o : Part α} [Decidable o.Dom] {a : α} : toOption o = Option.some a ↔ a ∈ o := by rw [← Option.mem_def, mem_toOption] protected theorem Dom.toOption {o : Part α} [Decidable o.Dom] (h : o.Dom) : o.toOption = o.get h := dif_pos h #align part.dom.to_option Part.Dom.toOption theorem toOption_eq_none_iff {a : Part α} [Decidable a.Dom] : a.toOption = Option.none ↔ ¬a.Dom := Ne.dite_eq_right_iff fun _ => Option.some_ne_none _ #align part.to_option_eq_none_iff Part.toOption_eq_none_iff theorem elim_toOption {α β : Type*} (a : Part α) [Decidable a.Dom] (b : β) (f : α → β) : a.toOption.elim b f = if h : a.Dom then f (a.get h) else b := by split_ifs with h · rw [h.toOption] rfl · rw [Part.toOption_eq_none_iff.2 h] rfl #align part.elim_to_option Part.elim_toOption @[coe] def ofOption : Option α → Part α | Option.none => none | Option.some a => some a #align part.of_option Part.ofOption @[simp] theorem mem_ofOption {a : α} : ∀ {o : Option α}, a ∈ ofOption o ↔ a ∈ o | Option.none => ⟨fun h => h.fst.elim, fun h => Option.noConfusion h⟩ | Option.some _ => ⟨fun h => congr_arg Option.some h.snd, fun h => ⟨trivial, Option.some.inj h⟩⟩ #align part.mem_of_option Part.mem_ofOption @[simp] theorem ofOption_dom {α} : ∀ o : Option α, (ofOption o).Dom ↔ o.isSome | Option.none => by simp [ofOption, none] | Option.some a => by simp [ofOption] #align part.of_option_dom Part.ofOption_dom theorem ofOption_eq_get {α} (o : Option α) : ofOption o = ⟨_, @Option.get _ o⟩ := Part.ext' (ofOption_dom o) fun h₁ h₂ => by cases o · simp at h₂ · rfl #align part.of_option_eq_get Part.ofOption_eq_get instance : Coe (Option α) (Part α) := ⟨ofOption⟩ theorem mem_coe {a : α} {o : Option α} : a ∈ (o : Part α) ↔ a ∈ o := mem_ofOption #align part.mem_coe Part.mem_coe @[simp] theorem coe_none : (@Option.none α : Part α) = none := rfl #align part.coe_none Part.coe_none @[simp] theorem coe_some (a : α) : (Option.some a : Part α) = some a := rfl #align part.coe_some Part.coe_some @[elab_as_elim] protected theorem induction_on {P : Part α → Prop} (a : Part α) (hnone : P none) (hsome : ∀ a : α, P (some a)) : P a := (Classical.em a.Dom).elim (fun h => Part.some_get h ▸ hsome _) fun h => (eq_none_iff'.2 h).symm ▸ hnone #align part.induction_on Part.induction_on instance ofOptionDecidable : ∀ o : Option α, Decidable (ofOption o).Dom | Option.none => Part.noneDecidable | Option.some a => Part.someDecidable a #align part.of_option_decidable Part.ofOptionDecidable @[simp] theorem to_ofOption (o : Option α) : toOption (ofOption o) = o := by cases o <;> rfl #align part.to_of_option Part.to_ofOption @[simp] theorem of_toOption (o : Part α) [Decidable o.Dom] : ofOption (toOption o) = o := ext fun _ => mem_ofOption.trans mem_toOption #align part.of_to_option Part.of_toOption noncomputable def equivOption : Part α ≃ Option α := haveI := Classical.dec ⟨fun o => toOption o, ofOption, fun o => of_toOption o, fun o => Eq.trans (by dsimp; congr) (to_ofOption o)⟩ #align part.equiv_option Part.equivOption instance : PartialOrder (Part α) where le x y := ∀ i, i ∈ x → i ∈ y le_refl x y := id le_trans x y z f g i := g _ ∘ f _ le_antisymm x y f g := Part.ext fun z => ⟨f _, g _⟩ instance : OrderBot (Part α) where bot := none bot_le := by rintro x _ ⟨⟨_⟩, _⟩ theorem le_total_of_le_of_le {x y : Part α} (z : Part α) (hx : x ≤ z) (hy : y ≤ z) : x ≤ y ∨ y ≤ x := by rcases Part.eq_none_or_eq_some x with (h | ⟨b, h₀⟩) · rw [h] left apply OrderBot.bot_le _ right; intro b' h₁ rw [Part.eq_some_iff] at h₀ have hx := hx _ h₀; have hy := hy _ h₁ have hx := Part.mem_unique hx hy; subst hx exact h₀ #align part.le_total_of_le_of_le Part.le_total_of_le_of_le def assert (p : Prop) (f : p → Part α) : Part α := ⟨∃ h : p, (f h).Dom, fun ha => (f ha.fst).get ha.snd⟩ #align part.assert Part.assert protected def bind (f : Part α) (g : α → Part β) : Part β := assert (Dom f) fun b => g (f.get b) #align part.bind Part.bind @[simps] def map (f : α → β) (o : Part α) : Part β := ⟨o.Dom, f ∘ o.get⟩ #align part.map Part.map #align part.map_dom Part.map_Dom #align part.map_get Part.map_get theorem mem_map (f : α → β) {o : Part α} : ∀ {a}, a ∈ o → f a ∈ map f o | _, ⟨_, rfl⟩ => ⟨_, rfl⟩ #align part.mem_map Part.mem_map @[simp] theorem mem_map_iff (f : α → β) {o : Part α} {b} : b ∈ map f o ↔ ∃ a ∈ o, f a = b := ⟨fun hb => match b, hb with | _, ⟨_, rfl⟩ => ⟨_, ⟨_, rfl⟩, rfl⟩, fun ⟨_, h₁, h₂⟩ => h₂ ▸ mem_map f h₁⟩ #align part.mem_map_iff Part.mem_map_iff @[simp] theorem map_none (f : α → β) : map f none = none := eq_none_iff.2 fun a => by simp #align part.map_none Part.map_none @[simp] theorem map_some (f : α → β) (a : α) : map f (some a) = some (f a) := eq_some_iff.2 <| mem_map f <| mem_some _ #align part.map_some Part.map_some theorem mem_assert {p : Prop} {f : p → Part α} : ∀ {a} (h : p), a ∈ f h → a ∈ assert p f | _, x, ⟨h, rfl⟩ => ⟨⟨x, h⟩, rfl⟩ #align part.mem_assert Part.mem_assert @[simp] theorem mem_assert_iff {p : Prop} {f : p → Part α} {a} : a ∈ assert p f ↔ ∃ h : p, a ∈ f h := ⟨fun ha => match a, ha with | _, ⟨_, rfl⟩ => ⟨_, ⟨_, rfl⟩⟩, fun ⟨_, h⟩ => mem_assert _ h⟩ #align part.mem_assert_iff Part.mem_assert_iff theorem assert_pos {p : Prop} {f : p → Part α} (h : p) : assert p f = f h := by dsimp [assert] cases h' : f h simp only [h', mk.injEq, h, exists_prop_of_true, true_and] apply Function.hfunext · simp only [h, h', exists_prop_of_true] · aesop #align part.assert_pos Part.assert_pos theorem assert_neg {p : Prop} {f : p → Part α} (h : ¬p) : assert p f = none := by dsimp [assert, none]; congr · simp only [h, not_false_iff, exists_prop_of_false] · apply Function.hfunext · simp only [h, not_false_iff, exists_prop_of_false] simp at * #align part.assert_neg Part.assert_neg theorem mem_bind {f : Part α} {g : α → Part β} : ∀ {a b}, a ∈ f → b ∈ g a → b ∈ f.bind g | _, _, ⟨h, rfl⟩, ⟨h₂, rfl⟩ => ⟨⟨h, h₂⟩, rfl⟩ #align part.mem_bind Part.mem_bind @[simp] theorem mem_bind_iff {f : Part α} {g : α → Part β} {b} : b ∈ f.bind g ↔ ∃ a ∈ f, b ∈ g a := ⟨fun hb => match b, hb with | _, ⟨⟨_, _⟩, rfl⟩ => ⟨_, ⟨_, rfl⟩, ⟨_, rfl⟩⟩, fun ⟨_, h₁, h₂⟩ => mem_bind h₁ h₂⟩ #align part.mem_bind_iff Part.mem_bind_iff protected theorem Dom.bind {o : Part α} (h : o.Dom) (f : α → Part β) : o.bind f = f (o.get h) := by ext b simp only [Part.mem_bind_iff, exists_prop] refine ⟨?_, fun hb => ⟨o.get h, Part.get_mem _, hb⟩⟩ rintro ⟨a, ha, hb⟩ rwa [Part.get_eq_of_mem ha] #align part.dom.bind Part.Dom.bind theorem Dom.of_bind {f : α → Part β} {a : Part α} (h : (a.bind f).Dom) : a.Dom := h.1 #align part.dom.of_bind Part.Dom.of_bind @[simp] theorem bind_none (f : α → Part β) : none.bind f = none := eq_none_iff.2 fun a => by simp #align part.bind_none Part.bind_none @[simp] theorem bind_some (a : α) (f : α → Part β) : (some a).bind f = f a := ext <| by simp #align part.bind_some Part.bind_some theorem bind_of_mem {o : Part α} {a : α} (h : a ∈ o) (f : α → Part β) : o.bind f = f a := by rw [eq_some_iff.2 h, bind_some] #align part.bind_of_mem Part.bind_of_mem theorem bind_some_eq_map (f : α → β) (x : Part α) : x.bind (some ∘ f) = map f x := ext <| by simp [eq_comm] #align part.bind_some_eq_map Part.bind_some_eq_map theorem bind_toOption (f : α → Part β) (o : Part α) [Decidable o.Dom] [∀ a, Decidable (f a).Dom] [Decidable (o.bind f).Dom] : (o.bind f).toOption = o.toOption.elim Option.none fun a => (f a).toOption := by by_cases h : o.Dom · simp_rw [h.toOption, h.bind] rfl · rw [Part.toOption_eq_none_iff.2 h] exact Part.toOption_eq_none_iff.2 fun ho => h ho.of_bind #align part.bind_to_option Part.bind_toOption theorem bind_assoc {γ} (f : Part α) (g : α → Part β) (k : β → Part γ) : (f.bind g).bind k = f.bind fun x => (g x).bind k := ext fun a => by simp only [mem_bind_iff] exact ⟨fun ⟨_, ⟨_, h₁, h₂⟩, h₃⟩ => ⟨_, h₁, _, h₂, h₃⟩, fun ⟨_, h₁, _, h₂, h₃⟩ => ⟨_, ⟨_, h₁, h₂⟩, h₃⟩⟩ #align part.bind_assoc Part.bind_assoc @[simp] theorem bind_map {γ} (f : α → β) (x) (g : β → Part γ) : (map f x).bind g = x.bind fun y => g (f y) := by rw [← bind_some_eq_map, bind_assoc]; simp #align part.bind_map Part.bind_map @[simp] theorem map_bind {γ} (f : α → Part β) (x : Part α) (g : β → γ) : map g (x.bind f) = x.bind fun y => map g (f y) := by rw [← bind_some_eq_map, bind_assoc]; simp [bind_some_eq_map] #align part.map_bind Part.map_bind theorem map_map (g : β → γ) (f : α → β) (o : Part α) : map g (map f o) = map (g ∘ f) o := by erw [← bind_some_eq_map, bind_map, bind_some_eq_map] #align part.map_map Part.map_map instance : Monad Part where pure := @some map := @map bind := @Part.bind instance : LawfulMonad Part where bind_pure_comp := @bind_some_eq_map id_map f := by cases f; rfl pure_bind := @bind_some bind_assoc := @bind_assoc map_const := by simp [Functor.mapConst, Functor.map] --Porting TODO : In Lean3 these were automatic by a tactic seqLeft_eq x y := ext' (by simp [SeqLeft.seqLeft, Part.bind, assert, Seq.seq, const, (· <$> ·), and_comm]) (fun _ _ => rfl) seqRight_eq x y := ext' (by simp [SeqRight.seqRight, Part.bind, assert, Seq.seq, const, (· <$> ·), and_comm]) (fun _ _ => rfl) pure_seq x y := ext' (by simp [Seq.seq, Part.bind, assert, (· <$> ·), pure]) (fun _ _ => rfl) bind_map x y := ext' (by simp [(· >>= ·), Part.bind, assert, Seq.seq, get, (· <$> ·)] ) (fun _ _ => rfl) theorem map_id' {f : α → α} (H : ∀ x : α, f x = x) (o) : map f o = o := by rw [show f = id from funext H]; exact id_map o #align part.map_id' Part.map_id' @[simp] theorem bind_some_right (x : Part α) : x.bind some = x := by erw [bind_some_eq_map]; simp [map_id'] #align part.bind_some_right Part.bind_some_right @[simp] theorem pure_eq_some (a : α) : pure a = some a := rfl #align part.pure_eq_some Part.pure_eq_some @[simp] theorem ret_eq_some (a : α) : (return a : Part α) = some a := rfl #align part.ret_eq_some Part.ret_eq_some @[simp] theorem map_eq_map {α β} (f : α → β) (o : Part α) : f <$> o = map f o := rfl #align part.map_eq_map Part.map_eq_map @[simp] theorem bind_eq_bind {α β} (f : Part α) (g : α → Part β) : f >>= g = f.bind g := rfl #align part.bind_eq_bind Part.bind_eq_bind theorem bind_le {α} (x : Part α) (f : α → Part β) (y : Part β) : x >>= f ≤ y ↔ ∀ a, a ∈ x → f a ≤ y := by constructor <;> intro h · intro a h' b have h := h b simp only [and_imp, exists_prop, bind_eq_bind, mem_bind_iff, exists_imp] at h apply h _ h' · intro b h' simp only [exists_prop, bind_eq_bind, mem_bind_iff] at h' rcases h' with ⟨a, h₀, h₁⟩ apply h _ h₀ _ h₁ #align part.bind_le Part.bind_le -- Porting note: No MonadFail in Lean4 yet -- instance : MonadFail Part := -- { Part.monad with fail := fun _ _ => none } def restrict (p : Prop) (o : Part α) (H : p → o.Dom) : Part α := ⟨p, fun h => o.get (H h)⟩ #align part.restrict Part.restrict @[simp] theorem mem_restrict (p : Prop) (o : Part α) (h : p → o.Dom) (a : α) : a ∈ restrict p o h ↔ p ∧ a ∈ o := by dsimp [restrict, mem_eq]; constructor · rintro ⟨h₀, h₁⟩ exact ⟨h₀, ⟨_, h₁⟩⟩ rintro ⟨h₀, _, h₂⟩; exact ⟨h₀, h₂⟩ #align part.mem_restrict Part.mem_restrict unsafe def unwrap (o : Part α) : α := o.get lcProof #align part.unwrap Part.unwrap theorem assert_defined {p : Prop} {f : p → Part α} : ∀ h : p, (f h).Dom → (assert p f).Dom := Exists.intro #align part.assert_defined Part.assert_defined theorem bind_defined {f : Part α} {g : α → Part β} : ∀ h : f.Dom, (g (f.get h)).Dom → (f.bind g).Dom := assert_defined #align part.bind_defined Part.bind_defined @[simp] theorem bind_dom {f : Part α} {g : α → Part β} : (f.bind g).Dom ↔ ∃ h : f.Dom, (g (f.get h)).Dom := Iff.rfl #align part.bind_dom Part.bind_dom section Instances @[to_additive] instance [One α] : One (Part α) where one := pure 1 @[to_additive] instance [Mul α] : Mul (Part α) where mul a b := (· * ·) <$> a <*> b @[to_additive] instance [Inv α] : Inv (Part α) where inv := map Inv.inv @[to_additive] instance [Div α] : Div (Part α) where div a b := (· / ·) <$> a <*> b instance [Mod α] : Mod (Part α) where mod a b := (· % ·) <$> a <*> b instance [Append α] : Append (Part α) where append a b := (· ++ ·) <$> a <*> b instance [Inter α] : Inter (Part α) where inter a b := (· ∩ ·) <$> a <*> b instance [Union α] : Union (Part α) where union a b := (· ∪ ·) <$> a <*> b instance [SDiff α] : SDiff (Part α) where sdiff a b := (· \ ·) <$> a <*> b section -- Porting note (#10756): new theorems to unfold definitions theorem mul_def [Mul α] (a b : Part α) : a * b = bind a fun y ↦ map (y * ·) b := rfl theorem one_def [One α] : (1 : Part α) = some 1 := rfl theorem inv_def [Inv α] (a : Part α) : a⁻¹ = Part.map (· ⁻¹) a := rfl theorem div_def [Div α] (a b : Part α) : a / b = bind a fun y => map (y / ·) b := rfl theorem mod_def [Mod α] (a b : Part α) : a % b = bind a fun y => map (y % ·) b := rfl theorem append_def [Append α] (a b : Part α) : a ++ b = bind a fun y => map (y ++ ·) b := rfl theorem inter_def [Inter α] (a b : Part α) : a ∩ b = bind a fun y => map (y ∩ ·) b := rfl theorem union_def [Union α] (a b : Part α) : a ∪ b = bind a fun y => map (y ∪ ·) b := rfl theorem sdiff_def [SDiff α] (a b : Part α) : a \ b = bind a fun y => map (y \ ·) b := rfl end @[to_additive] theorem one_mem_one [One α] : (1 : α) ∈ (1 : Part α) := ⟨trivial, rfl⟩ #align part.one_mem_one Part.one_mem_one #align part.zero_mem_zero Part.zero_mem_zero @[to_additive] theorem mul_mem_mul [Mul α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma * mb ∈ a * b := ⟨⟨ha.1, hb.1⟩, by simp only [← ha.2, ← hb.2]; rfl⟩ #align part.mul_mem_mul Part.mul_mem_mul #align part.add_mem_add Part.add_mem_add @[to_additive] theorem left_dom_of_mul_dom [Mul α] {a b : Part α} (hab : Dom (a * b)) : a.Dom := hab.1 #align part.left_dom_of_mul_dom Part.left_dom_of_mul_dom #align part.left_dom_of_add_dom Part.left_dom_of_add_dom @[to_additive] theorem right_dom_of_mul_dom [Mul α] {a b : Part α} (hab : Dom (a * b)) : b.Dom := hab.2 #align part.right_dom_of_mul_dom Part.right_dom_of_mul_dom #align part.right_dom_of_add_dom Part.right_dom_of_add_dom @[to_additive (attr := simp)] theorem mul_get_eq [Mul α] (a b : Part α) (hab : Dom (a * b)) : (a * b).get hab = a.get (left_dom_of_mul_dom hab) * b.get (right_dom_of_mul_dom hab) := rfl #align part.mul_get_eq Part.mul_get_eq #align part.add_get_eq Part.add_get_eq @[to_additive] theorem some_mul_some [Mul α] (a b : α) : some a * some b = some (a * b) := by simp [mul_def] #align part.some_mul_some Part.some_mul_some #align part.some_add_some Part.some_add_some @[to_additive]
Mathlib/Data/Part.lean
745
746
theorem inv_mem_inv [Inv α] (a : Part α) (ma : α) (ha : ma ∈ a) : ma⁻¹ ∈ a⁻¹ := by
simp [inv_def]; aesop
import Mathlib.Algebra.Category.ModuleCat.Abelian import Mathlib.CategoryTheory.Limits.Shapes.Images #align_import algebra.category.Module.images from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open CategoryTheory open CategoryTheory.Limits universe u v namespace ModuleCat set_option linter.uppercaseLean3 false -- `Module` variable {R : Type u} [Ring R] variable {G H : ModuleCat.{v} R} (f : G ⟶ H) attribute [local ext] Subtype.ext_val section -- implementation details of `HasImage` for ModuleCat; use the API, not these def image : ModuleCat R := ModuleCat.of R (LinearMap.range f) #align Module.image ModuleCat.image def image.ι : image f ⟶ H := f.range.subtype #align Module.image.ι ModuleCat.image.ι instance : Mono (image.ι f) := ConcreteCategory.mono_of_injective (image.ι f) Subtype.val_injective def factorThruImage : G ⟶ image f := f.rangeRestrict #align Module.factor_thru_image ModuleCat.factorThruImage theorem image.fac : factorThruImage f ≫ image.ι f = f := rfl #align Module.image.fac ModuleCat.image.fac attribute [local simp] image.fac variable {f} noncomputable def image.lift (F' : MonoFactorisation f) : image f ⟶ F'.I where toFun := (fun x => F'.e (Classical.indefiniteDescription _ x.2).1 : image f → F'.I) map_add' x y := by apply (mono_iff_injective F'.m).1 · infer_instance rw [LinearMap.map_add] change (F'.e ≫ F'.m) _ = (F'.e ≫ F'.m) _ + (F'.e ≫ F'.m) _ simp_rw [F'.fac, (Classical.indefiniteDescription (fun z => f z = _) _).2] rfl map_smul' c x := by apply (mono_iff_injective F'.m).1 · infer_instance rw [LinearMap.map_smul] change (F'.e ≫ F'.m) _ = _ • (F'.e ≫ F'.m) _ simp_rw [F'.fac, (Classical.indefiniteDescription (fun z => f z = _) _).2] rfl #align Module.image.lift ModuleCat.image.lift
Mathlib/Algebra/Category/ModuleCat/Images.lean
81
85
theorem image.lift_fac (F' : MonoFactorisation f) : image.lift F' ≫ F'.m = image.ι f := by
ext x change (F'.e ≫ F'.m) _ = _ rw [F'.fac, (Classical.indefiniteDescription _ x.2).2] rfl
import Mathlib.Algebra.Algebra.Subalgebra.Operations import Mathlib.Algebra.Ring.Fin import Mathlib.RingTheory.Ideal.Quotient #align_import ring_theory.ideal.quotient_operations from "leanprover-community/mathlib"@"b88d81c84530450a8989e918608e5960f015e6c8" universe u v w namespace Ideal open Function RingHom variable {R : Type u} {S : Type v} {F : Type w} [CommRing R] [Semiring S] @[simp] theorem map_quotient_self (I : Ideal R) : map (Quotient.mk I) I = ⊥ := eq_bot_iff.2 <| Ideal.map_le_iff_le_comap.2 fun _ hx => (Submodule.mem_bot (R ⧸ I)).2 <| Ideal.Quotient.eq_zero_iff_mem.2 hx #align ideal.map_quotient_self Ideal.map_quotient_self @[simp] theorem mk_ker {I : Ideal R} : ker (Quotient.mk I) = I := by ext rw [ker, mem_comap, Submodule.mem_bot, Quotient.eq_zero_iff_mem] #align ideal.mk_ker Ideal.mk_ker theorem map_mk_eq_bot_of_le {I J : Ideal R} (h : I ≤ J) : I.map (Quotient.mk J) = ⊥ := by rw [map_eq_bot_iff_le_ker, mk_ker] exact h #align ideal.map_mk_eq_bot_of_le Ideal.map_mk_eq_bot_of_le theorem ker_quotient_lift {I : Ideal R} (f : R →+* S) (H : I ≤ ker f) : ker (Ideal.Quotient.lift I f H) = f.ker.map (Quotient.mk I) := by apply Ideal.ext intro x constructor · intro hx obtain ⟨y, hy⟩ := Quotient.mk_surjective x rw [mem_ker, ← hy, Ideal.Quotient.lift_mk, ← mem_ker] at hx rw [← hy, mem_map_iff_of_surjective (Quotient.mk I) Quotient.mk_surjective] exact ⟨y, hx, rfl⟩ · intro hx rw [mem_map_iff_of_surjective (Quotient.mk I) Quotient.mk_surjective] at hx obtain ⟨y, hy⟩ := hx rw [mem_ker, ← hy.right, Ideal.Quotient.lift_mk] exact hy.left #align ideal.ker_quotient_lift Ideal.ker_quotient_lift lemma injective_lift_iff {I : Ideal R} {f : R →+* S} (H : ∀ (a : R), a ∈ I → f a = 0) : Injective (Quotient.lift I f H) ↔ ker f = I := by rw [injective_iff_ker_eq_bot, ker_quotient_lift, map_eq_bot_iff_le_ker, mk_ker] constructor · exact fun h ↦ le_antisymm h H · rintro rfl; rfl lemma ker_Pi_Quotient_mk {ι : Type*} (I : ι → Ideal R) : ker (Pi.ringHom fun i : ι ↦ Quotient.mk (I i)) = ⨅ i, I i := by simp [Pi.ker_ringHom, mk_ker] @[simp] theorem bot_quotient_isMaximal_iff (I : Ideal R) : (⊥ : Ideal (R ⧸ I)).IsMaximal ↔ I.IsMaximal := ⟨fun hI => mk_ker (I := I) ▸ comap_isMaximal_of_surjective (Quotient.mk I) Quotient.mk_surjective (K := ⊥) (H := hI), fun hI => by letI := Quotient.field I exact bot_isMaximal⟩ #align ideal.bot_quotient_is_maximal_iff Ideal.bot_quotient_isMaximal_iff @[simp]
Mathlib/RingTheory/Ideal/QuotientOperations.lean
182
185
theorem mem_quotient_iff_mem_sup {I J : Ideal R} {x : R} : Quotient.mk I x ∈ J.map (Quotient.mk I) ↔ x ∈ J ⊔ I := by
rw [← mem_comap, comap_map_of_surjective (Quotient.mk I) Quotient.mk_surjective, ← ker_eq_comap_bot, mk_ker]
import Mathlib.Order.Filter.Bases #align_import order.filter.pi from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Set Function open scoped Classical open Filter namespace Filter variable {ι : Type*} {α : ι → Type*} {f f₁ f₂ : (i : ι) → Filter (α i)} {s : (i : ι) → Set (α i)} {p : ∀ i, α i → Prop} section Pi def pi (f : ∀ i, Filter (α i)) : Filter (∀ i, α i) := ⨅ i, comap (eval i) (f i) #align filter.pi Filter.pi instance pi.isCountablyGenerated [Countable ι] [∀ i, IsCountablyGenerated (f i)] : IsCountablyGenerated (pi f) := iInf.isCountablyGenerated _ #align filter.pi.is_countably_generated Filter.pi.isCountablyGenerated theorem tendsto_eval_pi (f : ∀ i, Filter (α i)) (i : ι) : Tendsto (eval i) (pi f) (f i) := tendsto_iInf' i tendsto_comap #align filter.tendsto_eval_pi Filter.tendsto_eval_pi theorem tendsto_pi {β : Type*} {m : β → ∀ i, α i} {l : Filter β} : Tendsto m l (pi f) ↔ ∀ i, Tendsto (fun x => m x i) l (f i) := by simp only [pi, tendsto_iInf, tendsto_comap_iff]; rfl #align filter.tendsto_pi Filter.tendsto_pi alias ⟨Tendsto.apply, _⟩ := tendsto_pi theorem le_pi {g : Filter (∀ i, α i)} : g ≤ pi f ↔ ∀ i, Tendsto (eval i) g (f i) := tendsto_pi #align filter.le_pi Filter.le_pi @[mono] theorem pi_mono (h : ∀ i, f₁ i ≤ f₂ i) : pi f₁ ≤ pi f₂ := iInf_mono fun i => comap_mono <| h i #align filter.pi_mono Filter.pi_mono theorem mem_pi_of_mem (i : ι) {s : Set (α i)} (hs : s ∈ f i) : eval i ⁻¹' s ∈ pi f := mem_iInf_of_mem i <| preimage_mem_comap hs #align filter.mem_pi_of_mem Filter.mem_pi_of_mem theorem pi_mem_pi {I : Set ι} (hI : I.Finite) (h : ∀ i ∈ I, s i ∈ f i) : I.pi s ∈ pi f := by rw [pi_def, biInter_eq_iInter] refine mem_iInf_of_iInter hI (fun i => ?_) Subset.rfl exact preimage_mem_comap (h i i.2) #align filter.pi_mem_pi Filter.pi_mem_pi theorem mem_pi {s : Set (∀ i, α i)} : s ∈ pi f ↔ ∃ I : Set ι, I.Finite ∧ ∃ t : ∀ i, Set (α i), (∀ i, t i ∈ f i) ∧ I.pi t ⊆ s := by constructor · simp only [pi, mem_iInf', mem_comap, pi_def] rintro ⟨I, If, V, hVf, -, rfl, -⟩ choose t htf htV using hVf exact ⟨I, If, t, htf, iInter₂_mono fun i _ => htV i⟩ · rintro ⟨I, If, t, htf, hts⟩ exact mem_of_superset (pi_mem_pi If fun i _ => htf i) hts #align filter.mem_pi Filter.mem_pi theorem mem_pi' {s : Set (∀ i, α i)} : s ∈ pi f ↔ ∃ I : Finset ι, ∃ t : ∀ i, Set (α i), (∀ i, t i ∈ f i) ∧ Set.pi (↑I) t ⊆ s := mem_pi.trans exists_finite_iff_finset #align filter.mem_pi' Filter.mem_pi'
Mathlib/Order/Filter/Pi.lean
96
104
theorem mem_of_pi_mem_pi [∀ i, NeBot (f i)] {I : Set ι} (h : I.pi s ∈ pi f) {i : ι} (hi : i ∈ I) : s i ∈ f i := by
rcases mem_pi.1 h with ⟨I', -, t, htf, hts⟩ refine mem_of_superset (htf i) fun x hx => ?_ have : ∀ i, (t i).Nonempty := fun i => nonempty_of_mem (htf i) choose g hg using this have : update g i x ∈ I'.pi t := fun j _ => by rcases eq_or_ne j i with (rfl | hne) <;> simp [*] simpa using hts this i hi
import Mathlib.Analysis.Normed.Group.Seminorm import Mathlib.Order.LiminfLimsup import Mathlib.Topology.Instances.Rat import Mathlib.Topology.MetricSpace.Algebra import Mathlib.Topology.MetricSpace.IsometricSMul import Mathlib.Topology.Sequences #align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01" variable {𝓕 𝕜 α ι κ E F G : Type*} open Filter Function Metric Bornology open ENNReal Filter NNReal Uniformity Pointwise Topology @[notation_class] class Norm (E : Type*) where norm : E → ℝ #align has_norm Norm @[notation_class] class NNNorm (E : Type*) where nnnorm : E → ℝ≥0 #align has_nnnorm NNNorm export Norm (norm) export NNNorm (nnnorm) @[inherit_doc] notation "‖" e "‖" => norm e @[inherit_doc] notation "‖" e "‖₊" => nnnorm e class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_group SeminormedAddGroup @[to_additive] class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_group SeminormedGroup class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_group NormedAddGroup @[to_additive] class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_group NormedGroup class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_comm_group SeminormedAddCommGroup @[to_additive] class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_comm_group SeminormedCommGroup class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_comm_group NormedAddCommGroup @[to_additive] class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_comm_group NormedCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E := { ‹NormedGroup E› with } #align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup #align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] : SeminormedCommGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup #align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] : SeminormedGroup E := { ‹SeminormedCommGroup E› with } #align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup #align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup #align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddGroup` instance as a special case of a more general `SeminormedAddGroup` instance."] def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedGroup E where dist_eq := ‹SeminormedGroup E›.dist_eq toMetricSpace := { eq_of_dist_eq_zero := fun hxy => div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy } -- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term. -- however, notice that if you make `x` and `y` accessible, then the following does work: -- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa` -- was broken. #align normed_group.of_separation NormedGroup.ofSeparation #align normed_add_group.of_separation NormedAddGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a `SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case of a more general `SeminormedAddCommGroup` instance."] def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedCommGroup E := { ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with } #align normed_comm_group.of_separation NormedCommGroup.ofSeparation #align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant distance."] def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y #align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist #align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ #align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist' #align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist #align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist' #align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant distance."] def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist NormedGroup.ofMulDist #align normed_add_group.of_add_dist NormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist' NormedGroup.ofMulDist' #align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedCommGroup E := { NormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist #align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedCommGroup E := { NormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist' #align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where dist x y := f (x / y) norm := f dist_eq x y := rfl dist_self x := by simp only [div_self', map_one_eq_zero] dist_triangle := le_map_div_add_map_div f dist_comm := map_div_rev f edist_dist x y := by exact ENNReal.coe_nnreal_eq _ -- Porting note: how did `mathlib3` solve this automatically? #align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup #align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) : SeminormedCommGroup E := { f.toSeminormedGroup with mul_comm := mul_comm } #align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup #align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E := { f.toGroupSeminorm.toSeminormedGroup with eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h } #align group_norm.to_normed_group GroupNorm.toNormedGroup #align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E := { f.toNormedGroup with mul_comm := mul_comm } #align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup #align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where norm := Function.const _ 0 dist_eq _ _ := rfl @[simp] theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 := rfl #align punit.norm_eq_zero PUnit.norm_eq_zero section SeminormedGroup variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E} {a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ} @[to_additive] theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ := SeminormedGroup.dist_eq _ _ #align dist_eq_norm_div dist_eq_norm_div #align dist_eq_norm_sub dist_eq_norm_sub @[to_additive] theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div] #align dist_eq_norm_div' dist_eq_norm_div' #align dist_eq_norm_sub' dist_eq_norm_sub' alias dist_eq_norm := dist_eq_norm_sub #align dist_eq_norm dist_eq_norm alias dist_eq_norm' := dist_eq_norm_sub' #align dist_eq_norm' dist_eq_norm' @[to_additive] instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E := ⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩ #align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right #align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right @[to_additive (attr := simp)] theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one] #align dist_one_right dist_one_right #align dist_zero_right dist_zero_right @[to_additive] theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by rw [Metric.inseparable_iff, dist_one_right] @[to_additive (attr := simp)] theorem dist_one_left : dist (1 : E) = norm := funext fun a => by rw [dist_comm, dist_one_right] #align dist_one_left dist_one_left #align dist_zero_left dist_zero_left @[to_additive] theorem Isometry.norm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) : ‖f x‖ = ‖x‖ := by rw [← dist_one_right, ← h₁, hi.dist_eq, dist_one_right] #align isometry.norm_map_of_map_one Isometry.norm_map_of_map_one #align isometry.norm_map_of_map_zero Isometry.norm_map_of_map_zero @[to_additive (attr := simp) comap_norm_atTop] theorem comap_norm_atTop' : comap norm atTop = cobounded E := by simpa only [dist_one_right] using comap_dist_right_atTop (1 : E) @[to_additive Filter.HasBasis.cobounded_of_norm] lemma Filter.HasBasis.cobounded_of_norm' {ι : Sort*} {p : ι → Prop} {s : ι → Set ℝ} (h : HasBasis atTop p s) : HasBasis (cobounded E) p fun i ↦ norm ⁻¹' s i := comap_norm_atTop' (E := E) ▸ h.comap _ @[to_additive Filter.hasBasis_cobounded_norm] lemma Filter.hasBasis_cobounded_norm' : HasBasis (cobounded E) (fun _ ↦ True) ({x | · ≤ ‖x‖}) := atTop_basis.cobounded_of_norm' @[to_additive (attr := simp) tendsto_norm_atTop_iff_cobounded] theorem tendsto_norm_atTop_iff_cobounded' {f : α → E} {l : Filter α} : Tendsto (‖f ·‖) l atTop ↔ Tendsto f l (cobounded E) := by rw [← comap_norm_atTop', tendsto_comap_iff]; rfl @[to_additive tendsto_norm_cobounded_atTop] theorem tendsto_norm_cobounded_atTop' : Tendsto norm (cobounded E) atTop := tendsto_norm_atTop_iff_cobounded'.2 tendsto_id @[to_additive eventually_cobounded_le_norm] lemma eventually_cobounded_le_norm' (a : ℝ) : ∀ᶠ x in cobounded E, a ≤ ‖x‖ := tendsto_norm_cobounded_atTop'.eventually_ge_atTop a @[to_additive tendsto_norm_cocompact_atTop] theorem tendsto_norm_cocompact_atTop' [ProperSpace E] : Tendsto norm (cocompact E) atTop := cobounded_eq_cocompact (α := E) ▸ tendsto_norm_cobounded_atTop' #align tendsto_norm_cocompact_at_top' tendsto_norm_cocompact_atTop' #align tendsto_norm_cocompact_at_top tendsto_norm_cocompact_atTop @[to_additive] theorem norm_div_rev (a b : E) : ‖a / b‖ = ‖b / a‖ := by simpa only [dist_eq_norm_div] using dist_comm a b #align norm_div_rev norm_div_rev #align norm_sub_rev norm_sub_rev @[to_additive (attr := simp) norm_neg] theorem norm_inv' (a : E) : ‖a⁻¹‖ = ‖a‖ := by simpa using norm_div_rev 1 a #align norm_inv' norm_inv' #align norm_neg norm_neg open scoped symmDiff in @[to_additive] theorem dist_mulIndicator (s t : Set α) (f : α → E) (x : α) : dist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖ := by rw [dist_eq_norm_div, Set.apply_mulIndicator_symmDiff norm_inv'] @[to_additive (attr := simp)] theorem dist_mul_self_right (a b : E) : dist b (a * b) = ‖a‖ := by rw [← dist_one_left, ← dist_mul_right 1 a b, one_mul] #align dist_mul_self_right dist_mul_self_right #align dist_add_self_right dist_add_self_right @[to_additive (attr := simp)] theorem dist_mul_self_left (a b : E) : dist (a * b) b = ‖a‖ := by rw [dist_comm, dist_mul_self_right] #align dist_mul_self_left dist_mul_self_left #align dist_add_self_left dist_add_self_left @[to_additive (attr := simp)] theorem dist_div_eq_dist_mul_left (a b c : E) : dist (a / b) c = dist a (c * b) := by rw [← dist_mul_right _ _ b, div_mul_cancel] #align dist_div_eq_dist_mul_left dist_div_eq_dist_mul_left #align dist_sub_eq_dist_add_left dist_sub_eq_dist_add_left @[to_additive (attr := simp)] theorem dist_div_eq_dist_mul_right (a b c : E) : dist a (b / c) = dist (a * c) b := by rw [← dist_mul_right _ _ c, div_mul_cancel] #align dist_div_eq_dist_mul_right dist_div_eq_dist_mul_right #align dist_sub_eq_dist_add_right dist_sub_eq_dist_add_right @[to_additive (attr := simp)] lemma Filter.inv_cobounded : (cobounded E)⁻¹ = cobounded E := by simp only [← comap_norm_atTop', ← Filter.comap_inv, comap_comap, (· ∘ ·), norm_inv'] @[to_additive "In a (semi)normed group, negation `x ↦ -x` tends to infinity at infinity."] theorem Filter.tendsto_inv_cobounded : Tendsto Inv.inv (cobounded E) (cobounded E) := inv_cobounded.le #align filter.tendsto_inv_cobounded Filter.tendsto_inv_cobounded #align filter.tendsto_neg_cobounded Filter.tendsto_neg_cobounded @[to_additive norm_add_le "**Triangle inequality** for the norm."] theorem norm_mul_le' (a b : E) : ‖a * b‖ ≤ ‖a‖ + ‖b‖ := by simpa [dist_eq_norm_div] using dist_triangle a 1 b⁻¹ #align norm_mul_le' norm_mul_le' #align norm_add_le norm_add_le @[to_additive] theorem norm_mul_le_of_le (h₁ : ‖a₁‖ ≤ r₁) (h₂ : ‖a₂‖ ≤ r₂) : ‖a₁ * a₂‖ ≤ r₁ + r₂ := (norm_mul_le' a₁ a₂).trans <| add_le_add h₁ h₂ #align norm_mul_le_of_le norm_mul_le_of_le #align norm_add_le_of_le norm_add_le_of_le @[to_additive norm_add₃_le] theorem norm_mul₃_le (a b c : E) : ‖a * b * c‖ ≤ ‖a‖ + ‖b‖ + ‖c‖ := norm_mul_le_of_le (norm_mul_le' _ _) le_rfl #align norm_mul₃_le norm_mul₃_le #align norm_add₃_le norm_add₃_le @[to_additive] lemma norm_div_le_norm_div_add_norm_div (a b c : E) : ‖a / c‖ ≤ ‖a / b‖ + ‖b / c‖ := by simpa only [dist_eq_norm_div] using dist_triangle a b c @[to_additive (attr := simp) norm_nonneg] theorem norm_nonneg' (a : E) : 0 ≤ ‖a‖ := by rw [← dist_one_right] exact dist_nonneg #align norm_nonneg' norm_nonneg' #align norm_nonneg norm_nonneg @[to_additive (attr := simp) abs_norm] theorem abs_norm' (z : E) : |‖z‖| = ‖z‖ := abs_of_nonneg <| norm_nonneg' _ #align abs_norm abs_norm @[to_additive (attr := simp) norm_zero] theorem norm_one' : ‖(1 : E)‖ = 0 := by rw [← dist_one_right, dist_self] #align norm_one' norm_one' #align norm_zero norm_zero @[to_additive] theorem ne_one_of_norm_ne_zero : ‖a‖ ≠ 0 → a ≠ 1 := mt <| by rintro rfl exact norm_one' #align ne_one_of_norm_ne_zero ne_one_of_norm_ne_zero #align ne_zero_of_norm_ne_zero ne_zero_of_norm_ne_zero @[to_additive (attr := nontriviality) norm_of_subsingleton] theorem norm_of_subsingleton' [Subsingleton E] (a : E) : ‖a‖ = 0 := by rw [Subsingleton.elim a 1, norm_one'] #align norm_of_subsingleton' norm_of_subsingleton' #align norm_of_subsingleton norm_of_subsingleton @[to_additive zero_lt_one_add_norm_sq] theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by positivity #align zero_lt_one_add_norm_sq' zero_lt_one_add_norm_sq' #align zero_lt_one_add_norm_sq zero_lt_one_add_norm_sq @[to_additive] theorem norm_div_le (a b : E) : ‖a / b‖ ≤ ‖a‖ + ‖b‖ := by simpa [dist_eq_norm_div] using dist_triangle a 1 b #align norm_div_le norm_div_le #align norm_sub_le norm_sub_le @[to_additive] theorem norm_div_le_of_le {r₁ r₂ : ℝ} (H₁ : ‖a₁‖ ≤ r₁) (H₂ : ‖a₂‖ ≤ r₂) : ‖a₁ / a₂‖ ≤ r₁ + r₂ := (norm_div_le a₁ a₂).trans <| add_le_add H₁ H₂ #align norm_div_le_of_le norm_div_le_of_le #align norm_sub_le_of_le norm_sub_le_of_le @[to_additive dist_le_norm_add_norm] theorem dist_le_norm_add_norm' (a b : E) : dist a b ≤ ‖a‖ + ‖b‖ := by rw [dist_eq_norm_div] apply norm_div_le #align dist_le_norm_add_norm' dist_le_norm_add_norm' #align dist_le_norm_add_norm dist_le_norm_add_norm @[to_additive abs_norm_sub_norm_le] theorem abs_norm_sub_norm_le' (a b : E) : |‖a‖ - ‖b‖| ≤ ‖a / b‖ := by simpa [dist_eq_norm_div] using abs_dist_sub_le a b 1 #align abs_norm_sub_norm_le' abs_norm_sub_norm_le' #align abs_norm_sub_norm_le abs_norm_sub_norm_le @[to_additive norm_sub_norm_le] theorem norm_sub_norm_le' (a b : E) : ‖a‖ - ‖b‖ ≤ ‖a / b‖ := (le_abs_self _).trans (abs_norm_sub_norm_le' a b) #align norm_sub_norm_le' norm_sub_norm_le' #align norm_sub_norm_le norm_sub_norm_le @[to_additive dist_norm_norm_le] theorem dist_norm_norm_le' (a b : E) : dist ‖a‖ ‖b‖ ≤ ‖a / b‖ := abs_norm_sub_norm_le' a b #align dist_norm_norm_le' dist_norm_norm_le' #align dist_norm_norm_le dist_norm_norm_le @[to_additive] theorem norm_le_norm_add_norm_div' (u v : E) : ‖u‖ ≤ ‖v‖ + ‖u / v‖ := by rw [add_comm] refine (norm_mul_le' _ _).trans_eq' ?_ rw [div_mul_cancel] #align norm_le_norm_add_norm_div' norm_le_norm_add_norm_div' #align norm_le_norm_add_norm_sub' norm_le_norm_add_norm_sub' @[to_additive] theorem norm_le_norm_add_norm_div (u v : E) : ‖v‖ ≤ ‖u‖ + ‖u / v‖ := by rw [norm_div_rev] exact norm_le_norm_add_norm_div' v u #align norm_le_norm_add_norm_div norm_le_norm_add_norm_div #align norm_le_norm_add_norm_sub norm_le_norm_add_norm_sub alias norm_le_insert' := norm_le_norm_add_norm_sub' #align norm_le_insert' norm_le_insert' alias norm_le_insert := norm_le_norm_add_norm_sub #align norm_le_insert norm_le_insert @[to_additive]
Mathlib/Analysis/Normed/Group/Basic.lean
673
676
theorem norm_le_mul_norm_add (u v : E) : ‖u‖ ≤ ‖u * v‖ + ‖v‖ := calc ‖u‖ = ‖u * v / v‖ := by
rw [mul_div_cancel_right] _ ≤ ‖u * v‖ + ‖v‖ := norm_div_le _ _
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic import Mathlib.Data.ZMod.Basic import Mathlib.RingTheory.GradedAlgebra.Basic #align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0" namespace CliffordAlgebra variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {Q : QuadraticForm R M} open scoped DirectSum variable (Q) def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) := ⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ) #align clifford_algebra.even_odd CliffordAlgebra.evenOdd theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩) exact (pow_zero _).ge #align clifford_algebra.one_le_even_odd_zero CliffordAlgebra.one_le_evenOdd_zero theorem range_ι_le_evenOdd_one : LinearMap.range (ι Q) ≤ evenOdd Q 1 := by refine le_trans ?_ (le_iSup _ ⟨1, Nat.cast_one⟩) exact (pow_one _).ge #align clifford_algebra.range_ι_le_even_odd_one CliffordAlgebra.range_ι_le_evenOdd_one theorem ι_mem_evenOdd_one (m : M) : ι Q m ∈ evenOdd Q 1 := range_ι_le_evenOdd_one Q <| LinearMap.mem_range_self _ m #align clifford_algebra.ι_mem_even_odd_one CliffordAlgebra.ι_mem_evenOdd_one theorem ι_mul_ι_mem_evenOdd_zero (m₁ m₂ : M) : ι Q m₁ * ι Q m₂ ∈ evenOdd Q 0 := Submodule.mem_iSup_of_mem ⟨2, rfl⟩ (by rw [Subtype.coe_mk, pow_two] exact Submodule.mul_mem_mul (LinearMap.mem_range_self (ι Q) m₁) (LinearMap.mem_range_self (ι Q) m₂)) #align clifford_algebra.ι_mul_ι_mem_even_odd_zero CliffordAlgebra.ι_mul_ι_mem_evenOdd_zero theorem evenOdd_mul_le (i j : ZMod 2) : evenOdd Q i * evenOdd Q j ≤ evenOdd Q (i + j) := by simp_rw [evenOdd, Submodule.iSup_eq_span, Submodule.span_mul_span] apply Submodule.span_mono simp_rw [Set.iUnion_mul, Set.mul_iUnion, Set.iUnion_subset_iff, Set.mul_subset_iff] rintro ⟨xi, rfl⟩ ⟨yi, rfl⟩ x hx y hy refine Set.mem_iUnion.mpr ⟨⟨xi + yi, Nat.cast_add _ _⟩, ?_⟩ simp only [Subtype.coe_mk, Nat.cast_add, pow_add] exact Submodule.mul_mem_mul hx hy #align clifford_algebra.even_odd_mul_le CliffordAlgebra.evenOdd_mul_le instance evenOdd.gradedMonoid : SetLike.GradedMonoid (evenOdd Q) where one_mem := Submodule.one_le.mp (one_le_evenOdd_zero Q) mul_mem _i _j _p _q hp hq := Submodule.mul_le.mp (evenOdd_mul_le Q _ _) _ hp _ hq #align clifford_algebra.even_odd.graded_monoid CliffordAlgebra.evenOdd.gradedMonoid -- Porting note: added `protected` protected def GradedAlgebra.ι : M →ₗ[R] ⨁ i : ZMod 2, evenOdd Q i := DirectSum.lof R (ZMod 2) (fun i => ↥(evenOdd Q i)) 1 ∘ₗ (ι Q).codRestrict _ (ι_mem_evenOdd_one Q) #align clifford_algebra.graded_algebra.ι CliffordAlgebra.GradedAlgebra.ι theorem GradedAlgebra.ι_apply (m : M) : GradedAlgebra.ι Q m = DirectSum.of (fun i => ↥(evenOdd Q i)) 1 ⟨ι Q m, ι_mem_evenOdd_one Q m⟩ := rfl #align clifford_algebra.graded_algebra.ι_apply CliffordAlgebra.GradedAlgebra.ι_apply nonrec theorem GradedAlgebra.ι_sq_scalar (m : M) : GradedAlgebra.ι Q m * GradedAlgebra.ι Q m = algebraMap R _ (Q m) := by rw [GradedAlgebra.ι_apply Q, DirectSum.of_mul_of, DirectSum.algebraMap_apply] exact DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext rfl <| ι_sq_scalar _ _) #align clifford_algebra.graded_algebra.ι_sq_scalar CliffordAlgebra.GradedAlgebra.ι_sq_scalar theorem GradedAlgebra.lift_ι_eq (i' : ZMod 2) (x' : evenOdd Q i') : -- Porting note: added a second `by apply` lift Q ⟨by apply GradedAlgebra.ι Q, by apply GradedAlgebra.ι_sq_scalar Q⟩ x' = DirectSum.of (fun i => evenOdd Q i) i' x' := by cases' x' with x' hx' dsimp only [Subtype.coe_mk, DirectSum.lof_eq_of] induction hx' using Submodule.iSup_induction' with | mem i x hx => obtain ⟨i, rfl⟩ := i -- Porting note: `dsimp only [Subtype.coe_mk] at hx` doesn't work, use `change` instead change x ∈ LinearMap.range (ι Q) ^ i at hx induction hx using Submodule.pow_induction_on_left' with | algebraMap r => rw [AlgHom.commutes, DirectSum.algebraMap_apply]; rfl | add x y i hx hy ihx ihy => -- Note: in #8386 `map_add` had to be specialized to avoid a timeout -- (the definition was already very slow) rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add] rfl | mem_mul m hm i x hx ih => obtain ⟨_, rfl⟩ := hm rw [AlgHom.map_mul, ih, lift_ι_apply, GradedAlgebra.ι_apply Q, DirectSum.of_mul_of] refine DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext ?_ ?_) <;> dsimp only [GradedMonoid.mk, Subtype.coe_mk] · rw [Nat.succ_eq_add_one, add_comm, Nat.cast_add, Nat.cast_one] rfl | zero => rw [AlgHom.map_zero] apply Eq.symm apply DFinsupp.single_eq_zero.mpr; rfl | add x y hx hy ihx ihy => rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add]; rfl #align clifford_algebra.graded_algebra.lift_ι_eq CliffordAlgebra.GradedAlgebra.lift_ι_eq instance gradedAlgebra : GradedAlgebra (evenOdd Q) := GradedAlgebra.ofAlgHom (evenOdd Q) -- while not necessary, the `by apply` makes this elaborate faster (lift Q ⟨by apply GradedAlgebra.ι Q, by apply GradedAlgebra.ι_sq_scalar Q⟩) -- the proof from here onward is mostly similar to the `TensorAlgebra` case, with some extra -- handling for the `iSup` in `evenOdd`. (by ext m dsimp only [LinearMap.comp_apply, AlgHom.toLinearMap_apply, AlgHom.comp_apply, AlgHom.id_apply] rw [lift_ι_apply, GradedAlgebra.ι_apply Q, DirectSum.coeAlgHom_of, Subtype.coe_mk]) (by apply GradedAlgebra.lift_ι_eq Q) #align clifford_algebra.graded_algebra CliffordAlgebra.gradedAlgebra
Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean
140
149
theorem iSup_ι_range_eq_top : ⨆ i : ℕ, LinearMap.range (ι Q) ^ i = ⊤ := by
rw [← (DirectSum.Decomposition.isInternal (evenOdd Q)).submodule_iSup_eq_top, eq_comm] calc -- Porting note: needs extra annotations, no longer unifies against the goal in the face of -- ambiguity ⨆ (i : ZMod 2) (j : { n : ℕ // ↑n = i }), LinearMap.range (ι Q) ^ (j : ℕ) = ⨆ i : Σ i : ZMod 2, { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (i.2 : ℕ) := by rw [iSup_sigma] _ = ⨆ i : ℕ, LinearMap.range (ι Q) ^ i := Function.Surjective.iSup_congr (fun i => i.2) (fun i => ⟨⟨_, i, rfl⟩, rfl⟩) fun _ => rfl
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal #align_import ring_theory.graded_algebra.radical from "leanprover-community/mathlib"@"f1944b30c97c5eb626e498307dec8b022a05bd0a" open GradedRing DirectSum SetLike Finset variable {ι σ A : Type*} variable [CommRing A] variable [LinearOrderedCancelAddCommMonoid ι] variable [SetLike σ A] [AddSubmonoidClass σ A] {𝒜 : ι → σ} [GradedRing 𝒜] -- Porting note: This proof needs a long time to elaborate
Mathlib/RingTheory/GradedAlgebra/Radical.lean
47
136
theorem Ideal.IsHomogeneous.isPrime_of_homogeneous_mem_or_mem {I : Ideal A} (hI : I.IsHomogeneous 𝒜) (I_ne_top : I ≠ ⊤) (homogeneous_mem_or_mem : ∀ {x y : A}, Homogeneous 𝒜 x → Homogeneous 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I) : Ideal.IsPrime I := ⟨I_ne_top, by intro x y hxy by_contra! rid obtain ⟨rid₁, rid₂⟩ := rid classical /- The idea of the proof is the following : since `x * y ∈ I` and `I` homogeneous, then `proj i (x * y) ∈ I` for any `i : ι`. Then consider two sets `{i ∈ x.support | xᵢ ∉ I}` and `{j ∈ y.support | yⱼ ∉ J}`; let `max₁, max₂` be the maximum of the two sets, then `proj (max₁ + max₂) (x * y) ∈ I`. Then, `proj max₁ x ∉ I` and `proj max₂ j ∉ I` but `proj i x ∈ I` for all `max₁ < i` and `proj j y ∈ I` for all `max₂ < j`. ` proj (max₁ + max₂) (x * y)` `= ∑ {(i, j) ∈ supports | i + j = max₁ + max₂}, xᵢ * yⱼ` `= proj max₁ x * proj max₂ y` ` + ∑ {(i, j) ∈ supports \ {(max₁, max₂)} | i + j = max₁ + max₂}, xᵢ * yⱼ`. This is a contradiction, because both `proj (max₁ + max₂) (x * y) ∈ I` and the sum on the right hand side is in `I` however `proj max₁ x * proj max₂ y` is not in `I`. -/ set set₁ := (decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I) with set₁_eq set set₂ := (decompose 𝒜 y).support.filter (fun i => proj 𝒜 i y ∉ I) with set₂_eq have nonempty : ∀ x : A, x ∉ I → ((decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I)).Nonempty := by
intro x hx rw [filter_nonempty_iff] contrapose! hx simp_rw [proj_apply] at hx rw [← sum_support_decompose 𝒜 x] exact Ideal.sum_mem _ hx set max₁ := set₁.max' (nonempty x rid₁) set max₂ := set₂.max' (nonempty y rid₂) have mem_max₁ : max₁ ∈ set₁ := max'_mem set₁ (nonempty x rid₁) have mem_max₂ : max₂ ∈ set₂ := max'_mem set₂ (nonempty y rid₂) replace hxy : proj 𝒜 (max₁ + max₂) (x * y) ∈ I := hI _ hxy have mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∈ I := by set antidiag := ((decompose 𝒜 x).support ×ˢ (decompose 𝒜 y).support).filter (fun z : ι × ι => z.1 + z.2 = max₁ + max₂) with ha have mem_antidiag : (max₁, max₂) ∈ antidiag := by simp only [antidiag, add_sum_erase, mem_filter, mem_product] exact ⟨⟨mem_of_mem_filter _ mem_max₁, mem_of_mem_filter _ mem_max₂⟩, trivial⟩ have eq_add_sum := calc proj 𝒜 (max₁ + max₂) (x * y) = ∑ ij ∈ antidiag, proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := by simp_rw [ha, proj_apply, DirectSum.decompose_mul, DirectSum.coe_mul_apply 𝒜] _ = proj 𝒜 max₁ x * proj 𝒜 max₂ y + ∑ ij ∈ antidiag.erase (max₁, max₂), proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := (add_sum_erase _ _ mem_antidiag).symm rw [eq_sub_of_add_eq eq_add_sum.symm] refine Ideal.sub_mem _ hxy (Ideal.sum_mem _ fun z H => ?_) rcases z with ⟨i, j⟩ simp only [antidiag, mem_erase, Prod.mk.inj_iff, Ne, mem_filter, mem_product] at H rcases H with ⟨H₁, ⟨H₂, H₃⟩, H₄⟩ have max_lt : max₁ < i ∨ max₂ < j := by rcases lt_trichotomy max₁ i with (h | rfl | h) · exact Or.inl h · refine False.elim (H₁ ⟨rfl, add_left_cancel H₄⟩) · apply Or.inr have := add_lt_add_right h j rw [H₄] at this exact lt_of_add_lt_add_left this cases' max_lt with max_lt max_lt · -- in this case `max₁ < i`, then `xᵢ ∈ I`; for otherwise `i ∈ set₁` then `i ≤ max₁`. have not_mem : i ∉ set₁ := fun h => lt_irrefl _ ((max'_lt_iff set₁ (nonempty x rid₁)).mp max_lt i h) rw [set₁_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_right _ I (not_mem H₂) · -- in this case `max₂ < j`, then `yⱼ ∈ I`; for otherwise `j ∈ set₂`, then `j ≤ max₂`. have not_mem : j ∉ set₂ := fun h => lt_irrefl _ ((max'_lt_iff set₂ (nonempty y rid₂)).mp max_lt j h) rw [set₂_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_left I _ (not_mem H₃) have not_mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∉ I := by have neither_mem : proj 𝒜 max₁ x ∉ I ∧ proj 𝒜 max₂ y ∉ I := by rw [mem_filter] at mem_max₁ mem_max₂ exact ⟨mem_max₁.2, mem_max₂.2⟩ intro _rid cases' homogeneous_mem_or_mem ⟨max₁, SetLike.coe_mem _⟩ ⟨max₂, SetLike.coe_mem _⟩ mem_I with h h · apply neither_mem.1 h · apply neither_mem.2 h exact not_mem_I mem_I⟩
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace Finsupp variable {α M : Type*} [Zero M] @[simps] noncomputable def toAList (f : α →₀ M) : AList fun _x : α => M := ⟨f.graph.toList.map Prod.toSigma, by rw [List.NodupKeys, List.keys, List.map_map, Prod.fst_comp_toSigma, List.nodup_map_iff_inj_on] · rintro ⟨b, m⟩ hb ⟨c, n⟩ hc (rfl : b = c) rw [Finset.mem_toList, Finsupp.mem_graph_iff] at hb hc dsimp at hb hc rw [← hc.1, hb.1] · apply Finset.nodup_toList⟩ #align finsupp.to_alist Finsupp.toAList @[simp] theorem toAList_keys_toFinset [DecidableEq α] (f : α →₀ M) : f.toAList.keys.toFinset = f.support := by ext simp [toAList, AList.mem_keys, AList.keys, List.keys] #align finsupp.to_alist_keys_to_finset Finsupp.toAList_keys_toFinset @[simp]
Mathlib/Data/Finsupp/AList.lean
48
49
theorem mem_toAlist {f : α →₀ M} {x : α} : x ∈ f.toAList ↔ f x ≠ 0 := by
classical rw [AList.mem_keys, ← List.mem_toFinset, toAList_keys_toFinset, mem_support_iff]
import Mathlib.AlgebraicGeometry.Morphisms.QuasiCompact import Mathlib.Topology.QuasiSeparated #align_import algebraic_geometry.morphisms.quasi_separated from "leanprover-community/mathlib"@"1a51edf13debfcbe223fa06b1cb353b9ed9751cc" noncomputable section open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace universe u open scoped AlgebraicGeometry namespace AlgebraicGeometry variable {X Y : Scheme.{u}} (f : X ⟶ Y) @[mk_iff] class QuasiSeparated (f : X ⟶ Y) : Prop where diagonalQuasiCompact : QuasiCompact (pullback.diagonal f) := by infer_instance #align algebraic_geometry.quasi_separated AlgebraicGeometry.QuasiSeparated def QuasiSeparated.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ => QuasiSeparatedSpace X.carrier #align algebraic_geometry.quasi_separated.affine_property AlgebraicGeometry.QuasiSeparated.affineProperty theorem quasiSeparatedSpace_iff_affine (X : Scheme) : QuasiSeparatedSpace X.carrier ↔ ∀ U V : X.affineOpens, IsCompact (U ∩ V : Set X.carrier) := by rw [quasiSeparatedSpace_iff] constructor · intro H U V; exact H U V U.1.2 U.2.isCompact V.1.2 V.2.isCompact · intro H suffices ∀ (U : Opens X.carrier) (_ : IsCompact U.1) (V : Opens X.carrier) (_ : IsCompact V.1), IsCompact (U ⊓ V).1 by intro U V hU hU' hV hV'; exact this ⟨U, hU⟩ hU' ⟨V, hV⟩ hV' intro U hU V hV -- Porting note: it complains "unable to find motive", but telling Lean that motive is -- underscore is actually sufficient, weird apply compact_open_induction_on (P := _) V hV · simp · intro S _ V hV change IsCompact (U.1 ∩ (S.1 ∪ V.1)) rw [Set.inter_union_distrib_left] apply hV.union clear hV apply compact_open_induction_on (P := _) U hU · simp · intro S _ W hW change IsCompact ((S.1 ∪ W.1) ∩ V.1) rw [Set.union_inter_distrib_right] apply hW.union apply H #align algebraic_geometry.quasi_separated_space_iff_affine AlgebraicGeometry.quasiSeparatedSpace_iff_affine theorem quasi_compact_affineProperty_iff_quasiSeparatedSpace {X Y : Scheme} [IsAffine Y] (f : X ⟶ Y) : QuasiCompact.affineProperty.diagonal f ↔ QuasiSeparatedSpace X.carrier := by delta AffineTargetMorphismProperty.diagonal rw [quasiSeparatedSpace_iff_affine] constructor · intro H U V haveI : IsAffine _ := U.2 haveI : IsAffine _ := V.2 let g : pullback (X.ofRestrict U.1.openEmbedding) (X.ofRestrict V.1.openEmbedding) ⟶ X := pullback.fst ≫ X.ofRestrict _ -- Porting note: `inferInstance` does not work here have : IsOpenImmersion g := PresheafedSpace.IsOpenImmersion.comp _ _ have e := Homeomorph.ofEmbedding _ this.base_open.toEmbedding rw [IsOpenImmersion.range_pullback_to_base_of_left] at e erw [Subtype.range_coe, Subtype.range_coe] at e rw [isCompact_iff_compactSpace] exact @Homeomorph.compactSpace _ _ _ _ (H _ _) e · introv H h₁ h₂ let g : pullback f₁ f₂ ⟶ X := pullback.fst ≫ f₁ -- Porting note: `inferInstance` does not work here have : IsOpenImmersion g := PresheafedSpace.IsOpenImmersion.comp _ _ have e := Homeomorph.ofEmbedding _ this.base_open.toEmbedding rw [IsOpenImmersion.range_pullback_to_base_of_left] at e simp_rw [isCompact_iff_compactSpace] at H exact @Homeomorph.compactSpace _ _ _ _ (H ⟨⟨_, h₁.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion _⟩ ⟨⟨_, h₂.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion _⟩) e.symm #align algebraic_geometry.quasi_compact_affine_property_iff_quasi_separated_space AlgebraicGeometry.quasi_compact_affineProperty_iff_quasiSeparatedSpace theorem quasiSeparated_eq_diagonal_is_quasiCompact : @QuasiSeparated = MorphismProperty.diagonal @QuasiCompact := by ext; exact quasiSeparated_iff _ #align algebraic_geometry.quasi_separated_eq_diagonal_is_quasi_compact AlgebraicGeometry.quasiSeparated_eq_diagonal_is_quasiCompact theorem quasi_compact_affineProperty_diagonal_eq : QuasiCompact.affineProperty.diagonal = QuasiSeparated.affineProperty := by funext; rw [quasi_compact_affineProperty_iff_quasiSeparatedSpace]; rfl #align algebraic_geometry.quasi_compact_affine_property_diagonal_eq AlgebraicGeometry.quasi_compact_affineProperty_diagonal_eq theorem quasiSeparated_eq_affineProperty_diagonal : @QuasiSeparated = targetAffineLocally QuasiCompact.affineProperty.diagonal := by rw [quasiSeparated_eq_diagonal_is_quasiCompact, quasiCompact_eq_affineProperty] exact diagonal_targetAffineLocally_eq_targetAffineLocally _ QuasiCompact.affineProperty_isLocal #align algebraic_geometry.quasi_separated_eq_affine_property_diagonal AlgebraicGeometry.quasiSeparated_eq_affineProperty_diagonal theorem quasiSeparated_eq_affineProperty : @QuasiSeparated = targetAffineLocally QuasiSeparated.affineProperty := by rw [quasiSeparated_eq_affineProperty_diagonal, quasi_compact_affineProperty_diagonal_eq] #align algebraic_geometry.quasi_separated_eq_affine_property AlgebraicGeometry.quasiSeparated_eq_affineProperty theorem QuasiSeparated.affineProperty_isLocal : QuasiSeparated.affineProperty.IsLocal := quasi_compact_affineProperty_diagonal_eq ▸ QuasiCompact.affineProperty_isLocal.diagonal #align algebraic_geometry.quasi_separated.affine_property_is_local AlgebraicGeometry.QuasiSeparated.affineProperty_isLocal instance (priority := 900) quasiSeparatedOfMono {X Y : Scheme} (f : X ⟶ Y) [Mono f] : QuasiSeparated f where #align algebraic_geometry.quasi_separated_of_mono AlgebraicGeometry.quasiSeparatedOfMono instance quasiSeparated_isStableUnderComposition : MorphismProperty.IsStableUnderComposition @QuasiSeparated := quasiSeparated_eq_diagonal_is_quasiCompact.symm ▸ (MorphismProperty.diagonal_isStableUnderComposition quasiCompact_respectsIso quasiCompact_stableUnderBaseChange) #align algebraic_geometry.quasi_separated_stable_under_composition AlgebraicGeometry.quasiSeparated_isStableUnderComposition theorem quasiSeparated_stableUnderBaseChange : MorphismProperty.StableUnderBaseChange @QuasiSeparated := quasiSeparated_eq_diagonal_is_quasiCompact.symm ▸ quasiCompact_stableUnderBaseChange.diagonal quasiCompact_respectsIso #align algebraic_geometry.quasi_separated_stable_under_base_change AlgebraicGeometry.quasiSeparated_stableUnderBaseChange instance quasiSeparatedComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiSeparated f] [QuasiSeparated g] : QuasiSeparated (f ≫ g) := MorphismProperty.comp_mem _ f g inferInstance inferInstance #align algebraic_geometry.quasi_separated_comp AlgebraicGeometry.quasiSeparatedComp theorem quasiSeparated_respectsIso : MorphismProperty.RespectsIso @QuasiSeparated := quasiSeparated_eq_diagonal_is_quasiCompact.symm ▸ quasiCompact_respectsIso.diagonal #align algebraic_geometry.quasi_separated_respects_iso AlgebraicGeometry.quasiSeparated_respectsIso open List in theorem QuasiSeparated.affine_openCover_TFAE {X Y : Scheme.{u}} (f : X ⟶ Y) : TFAE [QuasiSeparated f, ∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)), ∀ i : 𝒰.J, QuasiSeparatedSpace (pullback f (𝒰.map i)).carrier, ∀ (𝒰 : Scheme.OpenCover.{u} Y) [∀ i, IsAffine (𝒰.obj i)] (i : 𝒰.J), QuasiSeparatedSpace (pullback f (𝒰.map i)).carrier, ∀ {U : Scheme} (g : U ⟶ Y) [IsAffine U] [IsOpenImmersion g], QuasiSeparatedSpace (pullback f g).carrier, ∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)) (𝒰' : ∀ i : 𝒰.J, Scheme.OpenCover.{u} (pullback f (𝒰.map i))) (_ : ∀ i j, IsAffine ((𝒰' i).obj j)), ∀ (i : 𝒰.J) (j k : (𝒰' i).J), CompactSpace (pullback ((𝒰' i).map j) ((𝒰' i).map k)).carrier] := by have := QuasiCompact.affineProperty_isLocal.diagonal_affine_openCover_TFAE f simp_rw [← quasiCompact_eq_affineProperty, ← quasiSeparated_eq_diagonal_is_quasiCompact, quasi_compact_affineProperty_diagonal_eq] at this exact this #align algebraic_geometry.quasi_separated.affine_open_cover_tfae AlgebraicGeometry.QuasiSeparated.affine_openCover_TFAE theorem QuasiSeparated.is_local_at_target : PropertyIsLocalAtTarget @QuasiSeparated := quasiSeparated_eq_affineProperty_diagonal.symm ▸ QuasiCompact.affineProperty_isLocal.diagonal.targetAffineLocallyIsLocal #align algebraic_geometry.quasi_separated.is_local_at_target AlgebraicGeometry.QuasiSeparated.is_local_at_target open List in theorem QuasiSeparated.openCover_TFAE {X Y : Scheme.{u}} (f : X ⟶ Y) : TFAE [QuasiSeparated f, ∃ 𝒰 : Scheme.OpenCover.{u} Y, ∀ i : 𝒰.J, QuasiSeparated (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i), ∀ (𝒰 : Scheme.OpenCover.{u} Y) (i : 𝒰.J), QuasiSeparated (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i), ∀ U : Opens Y.carrier, QuasiSeparated (f ∣_ U), ∀ {U : Scheme} (g : U ⟶ Y) [IsOpenImmersion g], QuasiSeparated (pullback.snd : pullback f g ⟶ _), ∃ (ι : Type u) (U : ι → Opens Y.carrier) (_ : iSup U = ⊤), ∀ i, QuasiSeparated (f ∣_ U i)] := QuasiSeparated.is_local_at_target.openCover_TFAE f #align algebraic_geometry.quasi_separated.open_cover_tfae AlgebraicGeometry.QuasiSeparated.openCover_TFAE theorem quasiSeparated_over_affine_iff {X Y : Scheme} (f : X ⟶ Y) [IsAffine Y] : QuasiSeparated f ↔ QuasiSeparatedSpace X.carrier := by rw [quasiSeparated_eq_affineProperty, QuasiSeparated.affineProperty_isLocal.affine_target_iff f, QuasiSeparated.affineProperty] #align algebraic_geometry.quasi_separated_over_affine_iff AlgebraicGeometry.quasiSeparated_over_affine_iff theorem quasiSeparatedSpace_iff_quasiSeparated (X : Scheme) : QuasiSeparatedSpace X.carrier ↔ QuasiSeparated (terminal.from X) := (quasiSeparated_over_affine_iff _).symm #align algebraic_geometry.quasi_separated_space_iff_quasi_separated AlgebraicGeometry.quasiSeparatedSpace_iff_quasiSeparated
Mathlib/AlgebraicGeometry/Morphisms/QuasiSeparated.lean
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theorem QuasiSeparated.affine_openCover_iff {X Y : Scheme.{u}} (𝒰 : Scheme.OpenCover.{u} Y) [∀ i, IsAffine (𝒰.obj i)] (f : X ⟶ Y) : QuasiSeparated f ↔ ∀ i, QuasiSeparatedSpace (pullback f (𝒰.map i)).carrier := by
rw [quasiSeparated_eq_affineProperty, QuasiSeparated.affineProperty_isLocal.affine_openCover_iff f 𝒰] rfl
import Mathlib.FieldTheory.Perfect #align_import field_theory.perfect_closure from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v open Function section variable (K : Type u) [CommRing K] (p : ℕ) [Fact p.Prime] [CharP K p] @[mk_iff] inductive PerfectClosure.R : ℕ × K → ℕ × K → Prop | intro : ∀ n x, PerfectClosure.R (n, x) (n + 1, frobenius K p x) #align perfect_closure.r PerfectClosure.R def PerfectClosure : Type u := Quot (PerfectClosure.R K p) #align perfect_closure PerfectClosure end namespace PerfectClosure variable (K : Type u) section Ring variable [CommRing K] (p : ℕ) [Fact p.Prime] [CharP K p] def mk (x : ℕ × K) : PerfectClosure K p := Quot.mk (R K p) x #align perfect_closure.mk PerfectClosure.mk theorem mk_surjective : Function.Surjective (mk K p) := surjective_quot_mk _ @[simp] theorem mk_succ_pow (m : ℕ) (x : K) : mk K p ⟨m + 1, x ^ p⟩ = mk K p ⟨m, x⟩ := Eq.symm <| Quot.sound (R.intro m x) @[simp] theorem quot_mk_eq_mk (x : ℕ × K) : (Quot.mk (R K p) x : PerfectClosure K p) = mk K p x := rfl #align perfect_closure.quot_mk_eq_mk PerfectClosure.quot_mk_eq_mk variable {K p} -- Porting note: removed `@[elab_as_elim]` for "unexpected eliminator resulting type L" def liftOn {L : Type*} (x : PerfectClosure K p) (f : ℕ × K → L) (hf : ∀ x y, R K p x y → f x = f y) : L := Quot.liftOn x f hf #align perfect_closure.lift_on PerfectClosure.liftOn @[simp] theorem liftOn_mk {L : Sort _} (f : ℕ × K → L) (hf : ∀ x y, R K p x y → f x = f y) (x : ℕ × K) : (mk K p x).liftOn f hf = f x := rfl #align perfect_closure.lift_on_mk PerfectClosure.liftOn_mk @[elab_as_elim] theorem induction_on (x : PerfectClosure K p) {q : PerfectClosure K p → Prop} (h : ∀ x, q (mk K p x)) : q x := Quot.inductionOn x h #align perfect_closure.induction_on PerfectClosure.induction_on variable (K p) private theorem mul_aux_left (x1 x2 y : ℕ × K) (H : R K p x1 x2) : mk K p (x1.1 + y.1, (frobenius K p)^[y.1] x1.2 * (frobenius K p)^[x1.1] y.2) = mk K p (x2.1 + y.1, (frobenius K p)^[y.1] x2.2 * (frobenius K p)^[x2.1] y.2) := match x1, x2, H with | _, _, R.intro n x => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_mul, Nat.succ_add] apply R.intro private theorem mul_aux_right (x y1 y2 : ℕ × K) (H : R K p y1 y2) : mk K p (x.1 + y1.1, (frobenius K p)^[y1.1] x.2 * (frobenius K p)^[x.1] y1.2) = mk K p (x.1 + y2.1, (frobenius K p)^[y2.1] x.2 * (frobenius K p)^[x.1] y2.2) := match y1, y2, H with | _, _, R.intro n y => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_mul] apply R.intro instance instMul : Mul (PerfectClosure K p) := ⟨Quot.lift (fun x : ℕ × K => Quot.lift (fun y : ℕ × K => mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 * (frobenius K p)^[x.1] y.2)) (mul_aux_right K p x)) fun x1 x2 (H : R K p x1 x2) => funext fun e => Quot.inductionOn e fun y => mul_aux_left K p x1 x2 y H⟩ @[simp] theorem mk_mul_mk (x y : ℕ × K) : mk K p x * mk K p y = mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 * (frobenius K p)^[x.1] y.2) := rfl #align perfect_closure.mk_mul_mk PerfectClosure.mk_mul_mk instance instCommMonoid : CommMonoid (PerfectClosure K p) := { (inferInstance : Mul (PerfectClosure K p)) with mul_assoc := fun e f g => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => Quot.inductionOn g fun ⟨s, z⟩ => by simp only [quot_mk_eq_mk, mk_mul_mk] -- Porting note: added this line apply congr_arg (Quot.mk _) simp only [add_assoc, mul_assoc, iterate_map_mul, ← iterate_add_apply, add_comm, add_left_comm] one := mk K p (0, 1) one_mul := fun e => Quot.inductionOn e fun ⟨n, x⟩ => congr_arg (Quot.mk _) <| by simp only [iterate_map_one, iterate_zero_apply, one_mul, zero_add] mul_one := fun e => Quot.inductionOn e fun ⟨n, x⟩ => congr_arg (Quot.mk _) <| by simp only [iterate_map_one, iterate_zero_apply, mul_one, add_zero] mul_comm := fun e f => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => congr_arg (Quot.mk _) <| by simp only [add_comm, mul_comm] } theorem one_def : (1 : PerfectClosure K p) = mk K p (0, 1) := rfl #align perfect_closure.one_def PerfectClosure.one_def instance instInhabited : Inhabited (PerfectClosure K p) := ⟨1⟩ private theorem add_aux_left (x1 x2 y : ℕ × K) (H : R K p x1 x2) : mk K p (x1.1 + y.1, (frobenius K p)^[y.1] x1.2 + (frobenius K p)^[x1.1] y.2) = mk K p (x2.1 + y.1, (frobenius K p)^[y.1] x2.2 + (frobenius K p)^[x2.1] y.2) := match x1, x2, H with | _, _, R.intro n x => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_add, Nat.succ_add] apply R.intro private theorem add_aux_right (x y1 y2 : ℕ × K) (H : R K p y1 y2) : mk K p (x.1 + y1.1, (frobenius K p)^[y1.1] x.2 + (frobenius K p)^[x.1] y1.2) = mk K p (x.1 + y2.1, (frobenius K p)^[y2.1] x.2 + (frobenius K p)^[x.1] y2.2) := match y1, y2, H with | _, _, R.intro n y => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_add] apply R.intro instance instAdd : Add (PerfectClosure K p) := ⟨Quot.lift (fun x : ℕ × K => Quot.lift (fun y : ℕ × K => mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 + (frobenius K p)^[x.1] y.2)) (add_aux_right K p x)) fun x1 x2 (H : R K p x1 x2) => funext fun e => Quot.inductionOn e fun y => add_aux_left K p x1 x2 y H⟩ @[simp] theorem mk_add_mk (x y : ℕ × K) : mk K p x + mk K p y = mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 + (frobenius K p)^[x.1] y.2) := rfl #align perfect_closure.mk_add_mk PerfectClosure.mk_add_mk instance instNeg : Neg (PerfectClosure K p) := ⟨Quot.lift (fun x : ℕ × K => mk K p (x.1, -x.2)) fun x y (H : R K p x y) => match x, y, H with | _, _, R.intro n x => Quot.sound <| by rw [← frobenius_neg]; apply R.intro⟩ @[simp] theorem neg_mk (x : ℕ × K) : -mk K p x = mk K p (x.1, -x.2) := rfl #align perfect_closure.neg_mk PerfectClosure.neg_mk instance instZero : Zero (PerfectClosure K p) := ⟨mk K p (0, 0)⟩ theorem zero_def : (0 : PerfectClosure K p) = mk K p (0, 0) := rfl #align perfect_closure.zero_def PerfectClosure.zero_def @[simp] theorem mk_zero_zero : mk K p (0, 0) = 0 := rfl #align perfect_closure.mk_zero_zero PerfectClosure.mk_zero_zero -- Porting note: improved proof structure theorem mk_zero (n : ℕ) : mk K p (n, 0) = 0 := by induction' n with n ih · rfl rw [← ih] symm apply Quot.sound have := R.intro (p := p) n (0 : K) rwa [frobenius_zero K p] at this #align perfect_closure.mk_zero PerfectClosure.mk_zero -- Porting note: improved proof structure theorem R.sound (m n : ℕ) (x y : K) (H : (frobenius K p)^[m] x = y) : mk K p (n, x) = mk K p (m + n, y) := by subst H induction' m with m ih · simp only [Nat.zero_eq, zero_add, iterate_zero_apply] rw [ih, Nat.succ_add, iterate_succ'] apply Quot.sound apply R.intro #align perfect_closure.r.sound PerfectClosure.R.sound instance instAddCommGroup : AddCommGroup (PerfectClosure K p) := { (inferInstance : Add (PerfectClosure K p)), (inferInstance : Neg (PerfectClosure K p)) with add_assoc := fun e f g => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => Quot.inductionOn g fun ⟨s, z⟩ => by simp only [quot_mk_eq_mk, mk_add_mk] -- Porting note: added this line apply congr_arg (Quot.mk _) simp only [iterate_map_add, ← iterate_add_apply, add_assoc, add_comm s _] zero := 0 zero_add := fun e => Quot.inductionOn e fun ⟨n, x⟩ => congr_arg (Quot.mk _) <| by simp only [iterate_map_zero, iterate_zero_apply, zero_add] add_zero := fun e => Quot.inductionOn e fun ⟨n, x⟩ => congr_arg (Quot.mk _) <| by simp only [iterate_map_zero, iterate_zero_apply, add_zero] sub_eq_add_neg := fun a b => rfl add_left_neg := fun e => Quot.inductionOn e fun ⟨n, x⟩ => by simp only [quot_mk_eq_mk, neg_mk, mk_add_mk, iterate_map_neg, add_left_neg, mk_zero] add_comm := fun e f => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => congr_arg (Quot.mk _) <| by simp only [add_comm] nsmul := nsmulRec zsmul := zsmulRec } instance instCommRing : CommRing (PerfectClosure K p) := { instAddCommGroup K p, AddMonoidWithOne.unary, (inferInstance : CommMonoid (PerfectClosure K p)) with -- Porting note: added `zero_mul`, `mul_zero` zero_mul := fun a => by refine Quot.inductionOn a fun ⟨m, x⟩ => ?_ rw [zero_def, quot_mk_eq_mk, mk_mul_mk] simp only [zero_add, iterate_zero, id_eq, iterate_map_zero, zero_mul, mk_zero] mul_zero := fun a => by refine Quot.inductionOn a fun ⟨m, x⟩ => ?_ rw [zero_def, quot_mk_eq_mk, mk_mul_mk] simp only [zero_add, iterate_zero, id_eq, iterate_map_zero, mul_zero, mk_zero] left_distrib := fun e f g => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => Quot.inductionOn g fun ⟨s, z⟩ => by simp only [quot_mk_eq_mk, mk_add_mk, mk_mul_mk] -- Porting note: added this line simp only [add_assoc, add_comm, add_left_comm] apply R.sound simp only [iterate_map_mul, iterate_map_add, ← iterate_add_apply, mul_add, add_comm, add_left_comm] right_distrib := fun e f g => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => Quot.inductionOn g fun ⟨s, z⟩ => by simp only [quot_mk_eq_mk, mk_add_mk, mk_mul_mk] -- Porting note: added this line simp only [add_assoc, add_comm _ s, add_left_comm _ s] apply R.sound simp only [iterate_map_mul, iterate_map_add, ← iterate_add_apply, add_mul, add_comm, add_left_comm] } theorem mk_eq_iff (x y : ℕ × K) : mk K p x = mk K p y ↔ ∃ z, (frobenius K p)^[y.1 + z] x.2 = (frobenius K p)^[x.1 + z] y.2 := by constructor · intro H replace H := Quot.exact _ H induction H with | rel x y H => cases' H with n x; exact ⟨0, rfl⟩ | refl H => exact ⟨0, rfl⟩ | symm x y H ih => cases' ih with w ih; exact ⟨w, ih.symm⟩ | trans x y z H1 H2 ih1 ih2 => cases' ih1 with z1 ih1 cases' ih2 with z2 ih2 exists z2 + (y.1 + z1) rw [← add_assoc, iterate_add_apply, ih1] rw [← iterate_add_apply, add_comm, iterate_add_apply, ih2] rw [← iterate_add_apply] simp only [add_comm, add_left_comm] intro H cases' x with m x cases' y with n y cases' H with z H; dsimp only at H rw [R.sound K p (n + z) m x _ rfl, R.sound K p (m + z) n y _ rfl, H] rw [add_assoc, add_comm, add_comm z] #align perfect_closure.eq_iff' PerfectClosure.mk_eq_iff @[simp] theorem mk_pow (x : ℕ × K) (n : ℕ) : mk K p x ^ n = mk K p (x.1, x.2 ^ n) := by induction n with | zero => rw [pow_zero, pow_zero, one_def, mk_eq_iff] exact ⟨0, by simp_rw [← coe_iterateFrobenius, map_one]⟩ | succ n ih => rw [pow_succ, pow_succ, ih, mk_mul_mk, mk_eq_iff] exact ⟨0, by simp_rw [iterate_frobenius, add_zero, mul_pow, ← pow_mul, ← pow_add, mul_assoc, ← pow_add]⟩ theorem natCast (n x : ℕ) : (x : PerfectClosure K p) = mk K p (n, x) := by induction' n with n ih · induction' x with x ih · simp rw [Nat.cast_succ, Nat.cast_succ, ih] rfl rw [ih]; apply Quot.sound -- Porting note: was `conv` suffices R K p (n, (x : K)) (Nat.succ n, frobenius K p (x : K)) by rwa [frobenius_natCast K p x] at this apply R.intro #align perfect_closure.nat_cast PerfectClosure.natCast @[deprecated (since := "2024-04-17")] alias nat_cast := natCast theorem intCast (x : ℤ) : (x : PerfectClosure K p) = mk K p (0, x) := by induction x <;> simp only [Int.ofNat_eq_coe, Int.cast_natCast, Int.cast_negSucc, natCast K p 0] rfl #align perfect_closure.int_cast PerfectClosure.intCast @[deprecated (since := "2024-04-17")] alias int_cast := intCast theorem natCast_eq_iff (x y : ℕ) : (x : PerfectClosure K p) = y ↔ (x : K) = y := by constructor <;> intro H · rw [natCast K p 0, natCast K p 0, mk_eq_iff] at H cases' H with z H simpa only [zero_add, iterate_fixed (frobenius_natCast K p _)] using H rw [natCast K p 0, natCast K p 0, H] #align perfect_closure.nat_cast_eq_iff PerfectClosure.natCast_eq_iff @[deprecated (since := "2024-04-17")] alias nat_cast_eq_iff := natCast_eq_iff instance instCharP : CharP (PerfectClosure K p) p := by constructor; intro x; rw [← CharP.cast_eq_zero_iff K] rw [← Nat.cast_zero, natCast_eq_iff, Nat.cast_zero]
Mathlib/FieldTheory/PerfectClosure.lean
403
407
theorem frobenius_mk (x : ℕ × K) : (frobenius (PerfectClosure K p) p : PerfectClosure K p → PerfectClosure K p) (mk K p x) = mk _ _ (x.1, x.2 ^ p) := by
simp only [frobenius_def] exact mk_pow K p x p
import Mathlib.Algebra.Group.Semiconj.Defs import Mathlib.Algebra.Ring.Defs #align_import algebra.ring.semiconj from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" universe u v w x variable {α : Type u} {β : Type v} {γ : Type w} {R : Type x} open Function namespace SemiconjBy @[simp] theorem add_right [Distrib R] {a x y x' y' : R} (h : SemiconjBy a x y) (h' : SemiconjBy a x' y') : SemiconjBy a (x + x') (y + y') := by simp only [SemiconjBy, left_distrib, right_distrib, h.eq, h'.eq] #align semiconj_by.add_right SemiconjBy.add_right @[simp] theorem add_left [Distrib R] {a b x y : R} (ha : SemiconjBy a x y) (hb : SemiconjBy b x y) : SemiconjBy (a + b) x y := by simp only [SemiconjBy, left_distrib, right_distrib, ha.eq, hb.eq] #align semiconj_by.add_left SemiconjBy.add_left section variable [Mul R] [HasDistribNeg R] {a x y : R} theorem neg_right (h : SemiconjBy a x y) : SemiconjBy a (-x) (-y) := by simp only [SemiconjBy, h.eq, neg_mul, mul_neg] #align semiconj_by.neg_right SemiconjBy.neg_right @[simp] theorem neg_right_iff : SemiconjBy a (-x) (-y) ↔ SemiconjBy a x y := ⟨fun h => neg_neg x ▸ neg_neg y ▸ h.neg_right, SemiconjBy.neg_right⟩ #align semiconj_by.neg_right_iff SemiconjBy.neg_right_iff theorem neg_left (h : SemiconjBy a x y) : SemiconjBy (-a) x y := by simp only [SemiconjBy, h.eq, neg_mul, mul_neg] #align semiconj_by.neg_left SemiconjBy.neg_left @[simp] theorem neg_left_iff : SemiconjBy (-a) x y ↔ SemiconjBy a x y := ⟨fun h => neg_neg a ▸ h.neg_left, SemiconjBy.neg_left⟩ #align semiconj_by.neg_left_iff SemiconjBy.neg_left_iff end section variable [MulOneClass R] [HasDistribNeg R] {a x y : R} -- Porting note: `simpNF` told me to remove `simp` attribute theorem neg_one_right (a : R) : SemiconjBy a (-1) (-1) := (one_right a).neg_right #align semiconj_by.neg_one_right SemiconjBy.neg_one_right -- Porting note: `simpNF` told me to remove `simp` attribute theorem neg_one_left (x : R) : SemiconjBy (-1) x x := (SemiconjBy.one_left x).neg_left #align semiconj_by.neg_one_left SemiconjBy.neg_one_left end section variable [NonUnitalNonAssocRing R] {a b x y x' y' : R} @[simp] theorem sub_right (h : SemiconjBy a x y) (h' : SemiconjBy a x' y') : SemiconjBy a (x - x') (y - y') := by simpa only [sub_eq_add_neg] using h.add_right h'.neg_right #align semiconj_by.sub_right SemiconjBy.sub_right @[simp]
Mathlib/Algebra/Ring/Semiconj.lean
95
97
theorem sub_left (ha : SemiconjBy a x y) (hb : SemiconjBy b x y) : SemiconjBy (a - b) x y := by
simpa only [sub_eq_add_neg] using ha.add_left hb.neg_left
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.NormedSpace.BallAction import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Geometry.Manifold.Algebra.LieGroup import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.MFDeriv.Basic #align_import geometry.manifold.instances.sphere from "leanprover-community/mathlib"@"0dc4079202c28226b2841a51eb6d3cc2135bb80f" variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] noncomputable section open Metric FiniteDimensional Function open scoped Manifold section StereographicProjection variable (v : E) def stereoToFun (x : E) : (ℝ ∙ v)ᗮ := (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x #align stereo_to_fun stereoToFun variable {v} @[simp] theorem stereoToFun_apply (x : E) : stereoToFun v x = (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x := rfl #align stereo_to_fun_apply stereoToFun_apply theorem contDiffOn_stereoToFun : ContDiffOn ℝ ⊤ (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := by refine ContDiffOn.smul ?_ (orthogonalProjection (ℝ ∙ v)ᗮ).contDiff.contDiffOn refine contDiff_const.contDiffOn.div ?_ ?_ · exact (contDiff_const.sub (innerSL ℝ v).contDiff).contDiffOn · intro x h h' exact h (sub_eq_zero.mp h').symm #align cont_diff_on_stereo_to_fun contDiffOn_stereoToFun theorem continuousOn_stereoToFun : ContinuousOn (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := contDiffOn_stereoToFun.continuousOn #align continuous_on_stereo_to_fun continuousOn_stereoToFun variable (v) def stereoInvFunAux (w : E) : E := (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) #align stereo_inv_fun_aux stereoInvFunAux variable {v} @[simp] theorem stereoInvFunAux_apply (w : E) : stereoInvFunAux v w = (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) := rfl #align stereo_inv_fun_aux_apply stereoInvFunAux_apply theorem stereoInvFunAux_mem (hv : ‖v‖ = 1) {w : E} (hw : w ∈ (ℝ ∙ v)ᗮ) : stereoInvFunAux v w ∈ sphere (0 : E) 1 := by have h₁ : (0 : ℝ) < ‖w‖ ^ 2 + 4 := by positivity suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ = ‖w‖ ^ 2 + 4 by simp only [mem_sphere_zero_iff_norm, norm_smul, Real.norm_eq_abs, abs_inv, this, abs_of_pos h₁, stereoInvFunAux_apply, inv_mul_cancel h₁.ne'] suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ ^ 2 = (‖w‖ ^ 2 + 4) ^ 2 by simpa [sq_eq_sq_iff_abs_eq_abs, abs_of_pos h₁] using this rw [Submodule.mem_orthogonal_singleton_iff_inner_left] at hw simp [norm_add_sq_real, norm_smul, inner_smul_left, inner_smul_right, hw, mul_pow, Real.norm_eq_abs, hv] ring #align stereo_inv_fun_aux_mem stereoInvFunAux_mem theorem hasFDerivAt_stereoInvFunAux (v : E) : HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) 0 := by have h₀ : HasFDerivAt (fun w : E => ‖w‖ ^ 2) (0 : E →L[ℝ] ℝ) 0 := by convert (hasStrictFDerivAt_norm_sq (0 : E)).hasFDerivAt simp have h₁ : HasFDerivAt (fun w : E => (‖w‖ ^ 2 + 4)⁻¹) (0 : E →L[ℝ] ℝ) 0 := by convert (hasFDerivAt_inv _).comp _ (h₀.add (hasFDerivAt_const 4 0)) <;> simp have h₂ : HasFDerivAt (fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) ((4 : ℝ) • ContinuousLinearMap.id ℝ E) 0 := by convert ((hasFDerivAt_const (4 : ℝ) 0).smul (hasFDerivAt_id 0)).add ((h₀.sub (hasFDerivAt_const (4 : ℝ) 0)).smul (hasFDerivAt_const v 0)) using 1 ext w simp convert h₁.smul h₂ using 1 ext w simp #align has_fderiv_at_stereo_inv_fun_aux hasFDerivAt_stereoInvFunAux theorem hasFDerivAt_stereoInvFunAux_comp_coe (v : E) : HasFDerivAt (stereoInvFunAux v ∘ ((↑) : (ℝ ∙ v)ᗮ → E)) (ℝ ∙ v)ᗮ.subtypeL 0 := by have : HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) ((ℝ ∙ v)ᗮ.subtypeL 0) := hasFDerivAt_stereoInvFunAux v convert this.comp (0 : (ℝ ∙ v)ᗮ) (by apply ContinuousLinearMap.hasFDerivAt) #align has_fderiv_at_stereo_inv_fun_aux_comp_coe hasFDerivAt_stereoInvFunAux_comp_coe
Mathlib/Geometry/Manifold/Instances/Sphere.lean
170
179
theorem contDiff_stereoInvFunAux : ContDiff ℝ ⊤ (stereoInvFunAux v) := by
have h₀ : ContDiff ℝ ⊤ fun w : E => ‖w‖ ^ 2 := contDiff_norm_sq ℝ have h₁ : ContDiff ℝ ⊤ fun w : E => (‖w‖ ^ 2 + 4)⁻¹ := by refine (h₀.add contDiff_const).inv ?_ intro x nlinarith have h₂ : ContDiff ℝ ⊤ fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v := by refine (contDiff_const.smul contDiff_id).add ?_ exact (h₀.sub contDiff_const).smul contDiff_const exact h₁.smul h₂
import Lean.Elab.Tactic.Location import Mathlib.Logic.Basic import Mathlib.Init.Order.Defs import Mathlib.Tactic.Conv import Mathlib.Init.Set import Lean.Elab.Tactic.Location set_option autoImplicit true namespace Mathlib.Tactic.PushNeg open Lean Meta Elab.Tactic Parser.Tactic variable (p q : Prop) (s : α → Prop) theorem not_not_eq : (¬ ¬ p) = p := propext not_not theorem not_and_eq : (¬ (p ∧ q)) = (p → ¬ q) := propext not_and theorem not_and_or_eq : (¬ (p ∧ q)) = (¬ p ∨ ¬ q) := propext not_and_or theorem not_or_eq : (¬ (p ∨ q)) = (¬ p ∧ ¬ q) := propext not_or theorem not_forall_eq : (¬ ∀ x, s x) = (∃ x, ¬ s x) := propext not_forall theorem not_exists_eq : (¬ ∃ x, s x) = (∀ x, ¬ s x) := propext not_exists theorem not_implies_eq : (¬ (p → q)) = (p ∧ ¬ q) := propext Classical.not_imp theorem not_ne_eq (x y : α) : (¬ (x ≠ y)) = (x = y) := ne_eq x y ▸ not_not_eq _ theorem not_iff : (¬ (p ↔ q)) = ((p ∧ ¬ q) ∨ (¬ p ∧ q)) := propext <| _root_.not_iff.trans <| iff_iff_and_or_not_and_not.trans <| by rw [not_not, or_comm] variable {β : Type u} [LinearOrder β] theorem not_le_eq (a b : β) : (¬ (a ≤ b)) = (b < a) := propext not_le theorem not_lt_eq (a b : β) : (¬ (a < b)) = (b ≤ a) := propext not_lt theorem not_ge_eq (a b : β) : (¬ (a ≥ b)) = (a < b) := propext not_le theorem not_gt_eq (a b : β) : (¬ (a > b)) = (a ≤ b) := propext not_lt theorem not_nonempty_eq (s : Set γ) : (¬ s.Nonempty) = (s = ∅) := by have A : ∀ (x : γ), ¬(x ∈ (∅ : Set γ)) := fun x ↦ id simp only [Set.Nonempty, not_exists, eq_iff_iff] exact ⟨fun h ↦ Set.ext (fun x ↦ by simp only [h x, false_iff, A]), fun h ↦ by rwa [h]⟩ theorem ne_empty_eq_nonempty (s : Set γ) : (s ≠ ∅) = s.Nonempty := by rw [ne_eq, ← not_nonempty_eq s, not_not]
Mathlib/Tactic/PushNeg.lean
47
48
theorem empty_ne_eq_nonempty (s : Set γ) : (∅ ≠ s) = s.Nonempty := by
rw [ne_comm, ne_empty_eq_nonempty]
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics import Mathlib.NumberTheory.Liouville.Basic import Mathlib.Topology.Instances.Irrational #align_import number_theory.liouville.liouville_with from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" open Filter Metric Real Set open scoped Filter Topology def LiouvilleWith (p x : ℝ) : Prop := ∃ C, ∃ᶠ n : ℕ in atTop, ∃ m : ℤ, x ≠ m / n ∧ |x - m / n| < C / n ^ p #align liouville_with LiouvilleWith theorem liouvilleWith_one (x : ℝ) : LiouvilleWith 1 x := by use 2 refine ((eventually_gt_atTop 0).mono fun n hn => ?_).frequently have hn' : (0 : ℝ) < n := by simpa have : x < ↑(⌊x * ↑n⌋ + 1) / ↑n := by rw [lt_div_iff hn', Int.cast_add, Int.cast_one]; exact Int.lt_floor_add_one _ refine ⟨⌊x * n⌋ + 1, this.ne, ?_⟩ rw [abs_sub_comm, abs_of_pos (sub_pos.2 this), rpow_one, sub_lt_iff_lt_add', add_div_eq_mul_add_div _ _ hn'.ne'] gcongr calc _ ≤ x * n + 1 := by push_cast; gcongr; apply Int.floor_le _ < x * n + 2 := by linarith #align liouville_with_one liouvilleWith_one namespace LiouvilleWith variable {p q x y : ℝ} {r : ℚ} {m : ℤ} {n : ℕ} theorem exists_pos (h : LiouvilleWith p x) : ∃ (C : ℝ) (_h₀ : 0 < C), ∃ᶠ n : ℕ in atTop, 1 ≤ n ∧ ∃ m : ℤ, x ≠ m / n ∧ |x - m / n| < C / n ^ p := by rcases h with ⟨C, hC⟩ refine ⟨max C 1, zero_lt_one.trans_le <| le_max_right _ _, ?_⟩ refine ((eventually_ge_atTop 1).and_frequently hC).mono ?_ rintro n ⟨hle, m, hne, hlt⟩ refine ⟨hle, m, hne, hlt.trans_le ?_⟩ gcongr apply le_max_left #align liouville_with.exists_pos LiouvilleWith.exists_pos theorem mono (h : LiouvilleWith p x) (hle : q ≤ p) : LiouvilleWith q x := by rcases h.exists_pos with ⟨C, hC₀, hC⟩ refine ⟨C, hC.mono ?_⟩; rintro n ⟨hn, m, hne, hlt⟩ refine ⟨m, hne, hlt.trans_le <| ?_⟩ gcongr exact_mod_cast hn #align liouville_with.mono LiouvilleWith.mono theorem frequently_lt_rpow_neg (h : LiouvilleWith p x) (hlt : q < p) : ∃ᶠ n : ℕ in atTop, ∃ m : ℤ, x ≠ m / n ∧ |x - m / n| < n ^ (-q) := by rcases h.exists_pos with ⟨C, _hC₀, hC⟩ have : ∀ᶠ n : ℕ in atTop, C < n ^ (p - q) := by simpa only [(· ∘ ·), neg_sub, one_div] using ((tendsto_rpow_atTop (sub_pos.2 hlt)).comp tendsto_natCast_atTop_atTop).eventually (eventually_gt_atTop C) refine (this.and_frequently hC).mono ?_ rintro n ⟨hnC, hn, m, hne, hlt⟩ replace hn : (0 : ℝ) < n := Nat.cast_pos.2 hn refine ⟨m, hne, hlt.trans <| (div_lt_iff <| rpow_pos_of_pos hn _).2 ?_⟩ rwa [mul_comm, ← rpow_add hn, ← sub_eq_add_neg] #align liouville_with.frequently_lt_rpow_neg LiouvilleWith.frequently_lt_rpow_neg theorem mul_rat (h : LiouvilleWith p x) (hr : r ≠ 0) : LiouvilleWith p (x * r) := by rcases h.exists_pos with ⟨C, _hC₀, hC⟩ refine ⟨r.den ^ p * (|r| * C), (tendsto_id.nsmul_atTop r.pos).frequently (hC.mono ?_)⟩ rintro n ⟨_hn, m, hne, hlt⟩ have A : (↑(r.num * m) : ℝ) / ↑(r.den • id n) = m / n * r := by simp [← div_mul_div_comm, ← r.cast_def, mul_comm] refine ⟨r.num * m, ?_, ?_⟩ · rw [A]; simp [hne, hr] · rw [A, ← sub_mul, abs_mul] simp only [smul_eq_mul, id, Nat.cast_mul] calc _ < C / ↑n ^ p * |↑r| := by gcongr _ = ↑r.den ^ p * (↑|r| * C) / (↑r.den * ↑n) ^ p := ?_ rw [mul_rpow, mul_div_mul_left, mul_comm, mul_div_assoc] · simp only [Rat.cast_abs, le_refl] all_goals positivity #align liouville_with.mul_rat LiouvilleWith.mul_rat theorem mul_rat_iff (hr : r ≠ 0) : LiouvilleWith p (x * r) ↔ LiouvilleWith p x := ⟨fun h => by simpa only [mul_assoc, ← Rat.cast_mul, mul_inv_cancel hr, Rat.cast_one, mul_one] using h.mul_rat (inv_ne_zero hr), fun h => h.mul_rat hr⟩ #align liouville_with.mul_rat_iff LiouvilleWith.mul_rat_iff theorem rat_mul_iff (hr : r ≠ 0) : LiouvilleWith p (r * x) ↔ LiouvilleWith p x := by rw [mul_comm, mul_rat_iff hr] #align liouville_with.rat_mul_iff LiouvilleWith.rat_mul_iff theorem rat_mul (h : LiouvilleWith p x) (hr : r ≠ 0) : LiouvilleWith p (r * x) := (rat_mul_iff hr).2 h #align liouville_with.rat_mul LiouvilleWith.rat_mul theorem mul_int_iff (hm : m ≠ 0) : LiouvilleWith p (x * m) ↔ LiouvilleWith p x := by rw [← Rat.cast_intCast, mul_rat_iff (Int.cast_ne_zero.2 hm)] #align liouville_with.mul_int_iff LiouvilleWith.mul_int_iff theorem mul_int (h : LiouvilleWith p x) (hm : m ≠ 0) : LiouvilleWith p (x * m) := (mul_int_iff hm).2 h #align liouville_with.mul_int LiouvilleWith.mul_int theorem int_mul_iff (hm : m ≠ 0) : LiouvilleWith p (m * x) ↔ LiouvilleWith p x := by rw [mul_comm, mul_int_iff hm] #align liouville_with.int_mul_iff LiouvilleWith.int_mul_iff theorem int_mul (h : LiouvilleWith p x) (hm : m ≠ 0) : LiouvilleWith p (m * x) := (int_mul_iff hm).2 h #align liouville_with.int_mul LiouvilleWith.int_mul theorem mul_nat_iff (hn : n ≠ 0) : LiouvilleWith p (x * n) ↔ LiouvilleWith p x := by rw [← Rat.cast_natCast, mul_rat_iff (Nat.cast_ne_zero.2 hn)] #align liouville_with.mul_nat_iff LiouvilleWith.mul_nat_iff theorem mul_nat (h : LiouvilleWith p x) (hn : n ≠ 0) : LiouvilleWith p (x * n) := (mul_nat_iff hn).2 h #align liouville_with.mul_nat LiouvilleWith.mul_nat theorem nat_mul_iff (hn : n ≠ 0) : LiouvilleWith p (n * x) ↔ LiouvilleWith p x := by rw [mul_comm, mul_nat_iff hn] #align liouville_with.nat_mul_iff LiouvilleWith.nat_mul_iff
Mathlib/NumberTheory/Liouville/LiouvilleWith.lean
178
179
theorem nat_mul (h : LiouvilleWith p x) (hn : n ≠ 0) : LiouvilleWith p (n * x) := by
rw [mul_comm]; exact h.mul_nat hn
import Mathlib.CategoryTheory.Generator import Mathlib.CategoryTheory.Preadditive.Yoneda.Basic #align_import category_theory.preadditive.generator from "leanprover-community/mathlib"@"09f981f72d43749f1fa072deade828d9c1e185bb" universe v u open CategoryTheory Opposite namespace CategoryTheory variable {C : Type u} [Category.{v} C] [Preadditive C] theorem Preadditive.isSeparating_iff (𝒢 : Set C) : IsSeparating 𝒢 ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : G ⟶ X), h ≫ f = 0) → f = 0 := ⟨fun h𝒢 X Y f hf => h𝒢 _ _ (by simpa only [Limits.comp_zero] using hf), fun h𝒢 X Y f g hfg => sub_eq_zero.1 <| h𝒢 _ (by simpa only [Preadditive.comp_sub, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_separating_iff CategoryTheory.Preadditive.isSeparating_iff theorem Preadditive.isCoseparating_iff (𝒢 : Set C) : IsCoseparating 𝒢 ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : Y ⟶ G), f ≫ h = 0) → f = 0 := ⟨fun h𝒢 X Y f hf => h𝒢 _ _ (by simpa only [Limits.zero_comp] using hf), fun h𝒢 X Y f g hfg => sub_eq_zero.1 <| h𝒢 _ (by simpa only [Preadditive.sub_comp, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_coseparating_iff CategoryTheory.Preadditive.isCoseparating_iff theorem Preadditive.isSeparator_iff (G : C) : IsSeparator G ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ h : G ⟶ X, h ≫ f = 0) → f = 0 := ⟨fun hG X Y f hf => hG.def _ _ (by simpa only [Limits.comp_zero] using hf), fun hG => (isSeparator_def _).2 fun X Y f g hfg => sub_eq_zero.1 <| hG _ (by simpa only [Preadditive.comp_sub, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_separator_iff CategoryTheory.Preadditive.isSeparator_iff theorem Preadditive.isCoseparator_iff (G : C) : IsCoseparator G ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ h : Y ⟶ G, f ≫ h = 0) → f = 0 := ⟨fun hG X Y f hf => hG.def _ _ (by simpa only [Limits.zero_comp] using hf), fun hG => (isCoseparator_def _).2 fun X Y f g hfg => sub_eq_zero.1 <| hG _ (by simpa only [Preadditive.sub_comp, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_coseparator_iff CategoryTheory.Preadditive.isCoseparator_iff
Mathlib/CategoryTheory/Preadditive/Generator.lean
54
59
theorem isSeparator_iff_faithful_preadditiveCoyoneda (G : C) : IsSeparator G ↔ (preadditiveCoyoneda.obj (op G)).Faithful := by
rw [isSeparator_iff_faithful_coyoneda_obj, ← whiskering_preadditiveCoyoneda, Functor.comp_obj, whiskeringRight_obj_obj] exact ⟨fun h => Functor.Faithful.of_comp _ (forget AddCommGroupCat), fun h => Functor.Faithful.comp _ _⟩
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section SMul variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F] [IsScalarTower 𝕜 𝕜' F] {c : 𝕜 → 𝕜'} {c' : 𝕜'} theorem HasDerivWithinAt.smul (hc : HasDerivWithinAt c c' s x) (hf : HasDerivWithinAt f f' s x) : HasDerivWithinAt (fun y => c y • f y) (c x • f' + c' • f x) s x := by simpa using (HasFDerivWithinAt.smul hc hf).hasDerivWithinAt #align has_deriv_within_at.smul HasDerivWithinAt.smul theorem HasDerivAt.smul (hc : HasDerivAt c c' x) (hf : HasDerivAt f f' x) : HasDerivAt (fun y => c y • f y) (c x • f' + c' • f x) x := by rw [← hasDerivWithinAt_univ] at * exact hc.smul hf #align has_deriv_at.smul HasDerivAt.smul nonrec theorem HasStrictDerivAt.smul (hc : HasStrictDerivAt c c' x) (hf : HasStrictDerivAt f f' x) : HasStrictDerivAt (fun y => c y • f y) (c x • f' + c' • f x) x := by simpa using (hc.smul hf).hasStrictDerivAt #align has_strict_deriv_at.smul HasStrictDerivAt.smul theorem derivWithin_smul (hxs : UniqueDiffWithinAt 𝕜 s x) (hc : DifferentiableWithinAt 𝕜 c s x) (hf : DifferentiableWithinAt 𝕜 f s x) : derivWithin (fun y => c y • f y) s x = c x • derivWithin f s x + derivWithin c s x • f x := (hc.hasDerivWithinAt.smul hf.hasDerivWithinAt).derivWithin hxs #align deriv_within_smul derivWithin_smul theorem deriv_smul (hc : DifferentiableAt 𝕜 c x) (hf : DifferentiableAt 𝕜 f x) : deriv (fun y => c y • f y) x = c x • deriv f x + deriv c x • f x := (hc.hasDerivAt.smul hf.hasDerivAt).deriv #align deriv_smul deriv_smul theorem HasStrictDerivAt.smul_const (hc : HasStrictDerivAt c c' x) (f : F) : HasStrictDerivAt (fun y => c y • f) (c' • f) x := by have := hc.smul (hasStrictDerivAt_const x f) rwa [smul_zero, zero_add] at this #align has_strict_deriv_at.smul_const HasStrictDerivAt.smul_const
Mathlib/Analysis/Calculus/Deriv/Mul.lean
120
123
theorem HasDerivWithinAt.smul_const (hc : HasDerivWithinAt c c' s x) (f : F) : HasDerivWithinAt (fun y => c y • f) (c' • f) s x := by
have := hc.smul (hasDerivWithinAt_const x s f) rwa [smul_zero, zero_add] at this
import Mathlib.Init.Core import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.NumberTheory.NumberField.Basic import Mathlib.FieldTheory.Galois #align_import number_theory.cyclotomic.basic from "leanprover-community/mathlib"@"4b05d3f4f0601dca8abf99c4ec99187682ed0bba" open Polynomial Algebra FiniteDimensional Set universe u v w z variable (n : ℕ+) (S T : Set ℕ+) (A : Type u) (B : Type v) (K : Type w) (L : Type z) variable [CommRing A] [CommRing B] [Algebra A B] variable [Field K] [Field L] [Algebra K L] noncomputable section @[mk_iff] class IsCyclotomicExtension : Prop where exists_prim_root {n : ℕ+} (ha : n ∈ S) : ∃ r : B, IsPrimitiveRoot r n adjoin_roots : ∀ x : B, x ∈ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} #align is_cyclotomic_extension IsCyclotomicExtension namespace IsCyclotomicExtension section Basic theorem iff_adjoin_eq_top : IsCyclotomicExtension S A B ↔ (∀ n : ℕ+, n ∈ S → ∃ r : B, IsPrimitiveRoot r n) ∧ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} = ⊤ := ⟨fun h => ⟨fun _ => h.exists_prim_root, Algebra.eq_top_iff.2 h.adjoin_roots⟩, fun h => ⟨h.1 _, Algebra.eq_top_iff.1 h.2⟩⟩ #align is_cyclotomic_extension.iff_adjoin_eq_top IsCyclotomicExtension.iff_adjoin_eq_top theorem iff_singleton : IsCyclotomicExtension {n} A B ↔ (∃ r : B, IsPrimitiveRoot r n) ∧ ∀ x, x ∈ adjoin A {b : B | b ^ (n : ℕ) = 1} := by simp [isCyclotomicExtension_iff] #align is_cyclotomic_extension.iff_singleton IsCyclotomicExtension.iff_singleton theorem empty [h : IsCyclotomicExtension ∅ A B] : (⊥ : Subalgebra A B) = ⊤ := by simpa [Algebra.eq_top_iff, isCyclotomicExtension_iff] using h #align is_cyclotomic_extension.empty IsCyclotomicExtension.empty theorem singleton_one [h : IsCyclotomicExtension {1} A B] : (⊥ : Subalgebra A B) = ⊤ := Algebra.eq_top_iff.2 fun x => by simpa [adjoin_singleton_one] using ((isCyclotomicExtension_iff _ _ _).1 h).2 x #align is_cyclotomic_extension.singleton_one IsCyclotomicExtension.singleton_one variable {A B} theorem singleton_zero_of_bot_eq_top (h : (⊥ : Subalgebra A B) = ⊤) : IsCyclotomicExtension ∅ A B := by -- Porting note: Lean3 is able to infer `A`. refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => by simp at hs, _root_.eq_top_iff.2 fun x hx => ?_⟩ rw [← h] at hx simpa using hx #align is_cyclotomic_extension.singleton_zero_of_bot_eq_top IsCyclotomicExtension.singleton_zero_of_bot_eq_top variable (A B) theorem trans (C : Type w) [CommRing C] [Algebra A C] [Algebra B C] [IsScalarTower A B C] [hS : IsCyclotomicExtension S A B] [hT : IsCyclotomicExtension T B C] (h : Function.Injective (algebraMap B C)) : IsCyclotomicExtension (S ∪ T) A C := by refine ⟨fun hn => ?_, fun x => ?_⟩ · cases' hn with hn hn · obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 hS).1 hn refine ⟨algebraMap B C b, ?_⟩ exact hb.map_of_injective h · exact ((isCyclotomicExtension_iff _ _ _).1 hT).1 hn · refine adjoin_induction (((isCyclotomicExtension_iff T B _).1 hT).2 x) (fun c ⟨n, hn⟩ => subset_adjoin ⟨n, Or.inr hn.1, hn.2⟩) (fun b => ?_) (fun x y hx hy => Subalgebra.add_mem _ hx hy) fun x y hx hy => Subalgebra.mul_mem _ hx hy let f := IsScalarTower.toAlgHom A B C have hb : f b ∈ (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}).map f := ⟨b, ((isCyclotomicExtension_iff _ _ _).1 hS).2 b, rfl⟩ rw [IsScalarTower.toAlgHom_apply, ← adjoin_image] at hb refine adjoin_mono (fun y hy => ?_) hb obtain ⟨b₁, ⟨⟨n, hn⟩, h₁⟩⟩ := hy exact ⟨n, ⟨mem_union_left T hn.1, by rw [← h₁, ← AlgHom.map_pow, hn.2, AlgHom.map_one]⟩⟩ #align is_cyclotomic_extension.trans IsCyclotomicExtension.trans @[nontriviality] theorem subsingleton_iff [Subsingleton B] : IsCyclotomicExtension S A B ↔ S = { } ∨ S = {1} := by have : Subsingleton (Subalgebra A B) := inferInstance constructor · rintro ⟨hprim, -⟩ rw [← subset_singleton_iff_eq] intro t ht obtain ⟨ζ, hζ⟩ := hprim ht rw [mem_singleton_iff, ← PNat.coe_eq_one_iff] exact mod_cast hζ.unique (IsPrimitiveRoot.of_subsingleton ζ) · rintro (rfl | rfl) -- Porting note: `R := A` was not needed. · exact ⟨fun h => h.elim, fun x => by convert (mem_top (R := A) : x ∈ ⊤)⟩ · rw [iff_singleton] exact ⟨⟨0, IsPrimitiveRoot.of_subsingleton 0⟩, fun x => by convert (mem_top (R := A) : x ∈ ⊤)⟩ #align is_cyclotomic_extension.subsingleton_iff IsCyclotomicExtension.subsingleton_iff theorem union_right [h : IsCyclotomicExtension (S ∪ T) A B] : IsCyclotomicExtension T (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}) B := by have : {b : B | ∃ n : ℕ+, n ∈ S ∪ T ∧ b ^ (n : ℕ) = 1} = {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} ∪ {b : B | ∃ n : ℕ+, n ∈ T ∧ b ^ (n : ℕ) = 1} := by refine le_antisymm ?_ ?_ · rintro x ⟨n, hn₁ | hn₂, hnpow⟩ · left; exact ⟨n, hn₁, hnpow⟩ · right; exact ⟨n, hn₂, hnpow⟩ · rintro x (⟨n, hn⟩ | ⟨n, hn⟩) · exact ⟨n, Or.inl hn.1, hn.2⟩ · exact ⟨n, Or.inr hn.1, hn.2⟩ refine ⟨fun hn => ((isCyclotomicExtension_iff _ A _).1 h).1 (mem_union_right S hn), fun b => ?_⟩ replace h := ((isCyclotomicExtension_iff _ _ _).1 h).2 b rwa [this, adjoin_union_eq_adjoin_adjoin, Subalgebra.mem_restrictScalars] at h #align is_cyclotomic_extension.union_right IsCyclotomicExtension.union_right theorem union_left [h : IsCyclotomicExtension T A B] (hS : S ⊆ T) : IsCyclotomicExtension S A (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}) := by refine ⟨@fun n hn => ?_, fun b => ?_⟩ · obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 h).1 (hS hn) refine ⟨⟨b, subset_adjoin ⟨n, hn, hb.pow_eq_one⟩⟩, ?_⟩ rwa [← IsPrimitiveRoot.coe_submonoidClass_iff, Subtype.coe_mk] · convert mem_top (R := A) (x := b) rw [← adjoin_adjoin_coe_preimage, preimage_setOf_eq] norm_cast #align is_cyclotomic_extension.union_left IsCyclotomicExtension.union_left variable {n S} theorem of_union_of_dvd (h : ∀ s ∈ S, n ∣ s) (hS : S.Nonempty) [H : IsCyclotomicExtension S A B] : IsCyclotomicExtension (S ∪ {n}) A B := by refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => ?_, ?_⟩ · rw [mem_union, mem_singleton_iff] at hs obtain hs | rfl := hs · exact H.exists_prim_root hs · obtain ⟨m, hm⟩ := hS obtain ⟨x, rfl⟩ := h m hm obtain ⟨ζ, hζ⟩ := H.exists_prim_root hm refine ⟨ζ ^ (x : ℕ), ?_⟩ convert hζ.pow_of_dvd x.ne_zero (dvd_mul_left (x : ℕ) s) simp only [PNat.mul_coe, Nat.mul_div_left, PNat.pos] · refine _root_.eq_top_iff.2 ?_ rw [← ((iff_adjoin_eq_top S A B).1 H).2] refine adjoin_mono fun x hx => ?_ simp only [union_singleton, mem_insert_iff, mem_setOf_eq] at hx ⊢ obtain ⟨m, hm⟩ := hx exact ⟨m, ⟨Or.inr hm.1, hm.2⟩⟩ #align is_cyclotomic_extension.of_union_of_dvd IsCyclotomicExtension.of_union_of_dvd
Mathlib/NumberTheory/Cyclotomic/Basic.lean
231
244
theorem iff_union_of_dvd (h : ∀ s ∈ S, n ∣ s) (hS : S.Nonempty) : IsCyclotomicExtension S A B ↔ IsCyclotomicExtension (S ∪ {n}) A B := by
refine ⟨fun H => of_union_of_dvd A B h hS, fun H => (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => ?_, ?_⟩⟩ · exact H.exists_prim_root (subset_union_left hs) · rw [_root_.eq_top_iff, ← ((iff_adjoin_eq_top _ A B).1 H).2] refine adjoin_mono fun x hx => ?_ simp only [union_singleton, mem_insert_iff, mem_setOf_eq] at hx ⊢ obtain ⟨m, rfl | hm, hxpow⟩ := hx · obtain ⟨y, hy⟩ := hS refine ⟨y, ⟨hy, ?_⟩⟩ obtain ⟨z, rfl⟩ := h y hy simp only [PNat.mul_coe, pow_mul, hxpow, one_pow] · exact ⟨m, ⟨hm, hxpow⟩⟩
import Mathlib.Topology.MetricSpace.Basic #align_import topology.metric_space.metrizable from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Metric open scoped Filter Topology namespace TopologicalSpace variable {ι X Y : Type*} {π : ι → Type*} [TopologicalSpace X] [TopologicalSpace Y] [Finite ι] [∀ i, TopologicalSpace (π i)] class PseudoMetrizableSpace (X : Type*) [t : TopologicalSpace X] : Prop where exists_pseudo_metric : ∃ m : PseudoMetricSpace X, m.toUniformSpace.toTopologicalSpace = t #align topological_space.pseudo_metrizable_space TopologicalSpace.PseudoMetrizableSpace instance (priority := 100) _root_.PseudoMetricSpace.toPseudoMetrizableSpace {X : Type*} [m : PseudoMetricSpace X] : PseudoMetrizableSpace X := ⟨⟨m, rfl⟩⟩ #align pseudo_metric_space.to_pseudo_metrizable_space PseudoMetricSpace.toPseudoMetrizableSpace noncomputable def pseudoMetrizableSpacePseudoMetric (X : Type*) [TopologicalSpace X] [h : PseudoMetrizableSpace X] : PseudoMetricSpace X := h.exists_pseudo_metric.choose.replaceTopology h.exists_pseudo_metric.choose_spec.symm #align topological_space.pseudo_metrizable_space_pseudo_metric TopologicalSpace.pseudoMetrizableSpacePseudoMetric instance pseudoMetrizableSpace_prod [PseudoMetrizableSpace X] [PseudoMetrizableSpace Y] : PseudoMetrizableSpace (X × Y) := letI : PseudoMetricSpace X := pseudoMetrizableSpacePseudoMetric X letI : PseudoMetricSpace Y := pseudoMetrizableSpacePseudoMetric Y inferInstance #align topological_space.pseudo_metrizable_space_prod TopologicalSpace.pseudoMetrizableSpace_prod theorem _root_.Inducing.pseudoMetrizableSpace [PseudoMetrizableSpace Y] {f : X → Y} (hf : Inducing f) : PseudoMetrizableSpace X := letI : PseudoMetricSpace Y := pseudoMetrizableSpacePseudoMetric Y ⟨⟨hf.comapPseudoMetricSpace, rfl⟩⟩ #align inducing.pseudo_metrizable_space Inducing.pseudoMetrizableSpace instance (priority := 100) PseudoMetrizableSpace.firstCountableTopology [h : PseudoMetrizableSpace X] : FirstCountableTopology X := by rcases h with ⟨_, hm⟩ rw [← hm] exact @UniformSpace.firstCountableTopology X PseudoMetricSpace.toUniformSpace EMetric.instIsCountablyGeneratedUniformity #align topological_space.pseudo_metrizable_space.first_countable_topology TopologicalSpace.PseudoMetrizableSpace.firstCountableTopology instance PseudoMetrizableSpace.subtype [PseudoMetrizableSpace X] (s : Set X) : PseudoMetrizableSpace s := inducing_subtype_val.pseudoMetrizableSpace #align topological_space.pseudo_metrizable_space.subtype TopologicalSpace.PseudoMetrizableSpace.subtype instance pseudoMetrizableSpace_pi [∀ i, PseudoMetrizableSpace (π i)] : PseudoMetrizableSpace (∀ i, π i) := by cases nonempty_fintype ι letI := fun i => pseudoMetrizableSpacePseudoMetric (π i) infer_instance #align topological_space.pseudo_metrizable_space_pi TopologicalSpace.pseudoMetrizableSpace_pi class MetrizableSpace (X : Type*) [t : TopologicalSpace X] : Prop where exists_metric : ∃ m : MetricSpace X, m.toUniformSpace.toTopologicalSpace = t #align topological_space.metrizable_space TopologicalSpace.MetrizableSpace instance (priority := 100) _root_.MetricSpace.toMetrizableSpace {X : Type*} [m : MetricSpace X] : MetrizableSpace X := ⟨⟨m, rfl⟩⟩ #align metric_space.to_metrizable_space MetricSpace.toMetrizableSpace instance (priority := 100) MetrizableSpace.toPseudoMetrizableSpace [h : MetrizableSpace X] : PseudoMetrizableSpace X := let ⟨m, hm⟩ := h.1 ⟨⟨m.toPseudoMetricSpace, hm⟩⟩ #align topological_space.metrizable_space.to_pseudo_metrizable_space TopologicalSpace.MetrizableSpace.toPseudoMetrizableSpace noncomputable def metrizableSpaceMetric (X : Type*) [TopologicalSpace X] [h : MetrizableSpace X] : MetricSpace X := h.exists_metric.choose.replaceTopology h.exists_metric.choose_spec.symm #align topological_space.metrizable_space_metric TopologicalSpace.metrizableSpaceMetric instance (priority := 100) t2Space_of_metrizableSpace [MetrizableSpace X] : T2Space X := letI : MetricSpace X := metrizableSpaceMetric X inferInstance #align topological_space.t2_space_of_metrizable_space TopologicalSpace.t2Space_of_metrizableSpace instance metrizableSpace_prod [MetrizableSpace X] [MetrizableSpace Y] : MetrizableSpace (X × Y) := letI : MetricSpace X := metrizableSpaceMetric X letI : MetricSpace Y := metrizableSpaceMetric Y inferInstance #align topological_space.metrizable_space_prod TopologicalSpace.metrizableSpace_prod theorem _root_.Embedding.metrizableSpace [MetrizableSpace Y] {f : X → Y} (hf : Embedding f) : MetrizableSpace X := letI : MetricSpace Y := metrizableSpaceMetric Y ⟨⟨hf.comapMetricSpace f, rfl⟩⟩ #align embedding.metrizable_space Embedding.metrizableSpace instance MetrizableSpace.subtype [MetrizableSpace X] (s : Set X) : MetrizableSpace s := embedding_subtype_val.metrizableSpace #align topological_space.metrizable_space.subtype TopologicalSpace.MetrizableSpace.subtype instance metrizableSpace_pi [∀ i, MetrizableSpace (π i)] : MetrizableSpace (∀ i, π i) := by cases nonempty_fintype ι letI := fun i => metrizableSpaceMetric (π i) infer_instance #align topological_space.metrizable_space_pi TopologicalSpace.metrizableSpace_pi
Mathlib/Topology/Metrizable/Basic.lean
133
137
theorem IsSeparable.secondCountableTopology [PseudoMetrizableSpace X] {s : Set X} (hs : IsSeparable s) : SecondCountableTopology s := by
letI := pseudoMetrizableSpacePseudoMetric X have := hs.separableSpace exact UniformSpace.secondCountable_of_separable s
import Mathlib.Order.Cover import Mathlib.Order.Interval.Finset.Defs #align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d" assert_not_exists MonoidWithZero assert_not_exists Finset.sum open Function OrderDual open FinsetInterval variable {ι α : Type*} namespace Finset section Preorder variable [Preorder α] section LocallyFiniteOrder variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α} @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc] #align finset.nonempty_Icc Finset.nonempty_Icc @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico] #align finset.nonempty_Ico Finset.nonempty_Ico @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc] #align finset.nonempty_Ioc Finset.nonempty_Ioc -- TODO: This is nonsense. A locally finite order is never densely ordered @[simp] theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo] #align finset.nonempty_Ioo Finset.nonempty_Ioo @[simp] theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff] #align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff @[simp]
Mathlib/Order/Interval/Finset/Basic.lean
83
84
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
import Mathlib.Geometry.RingedSpace.PresheafedSpace import Mathlib.CategoryTheory.Limits.Final import Mathlib.Topology.Sheaves.Stalks #align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section universe v u v' u' open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits AlgebraicGeometry TopologicalSpace variable {C : Type u} [Category.{v} C] [HasColimits C] -- Porting note: no tidy tactic -- attribute [local tidy] tactic.auto_cases_opens -- this could be replaced by -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- but it doesn't appear to be needed here. open TopCat.Presheaf namespace AlgebraicGeometry.PresheafedSpace abbrev stalk (X : PresheafedSpace C) (x : X) : C := X.presheaf.stalk x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) : Y.stalk (α.base x) ⟶ X.stalk x := (stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap @[elementwise, reassoc]
Mathlib/Geometry/RingedSpace/Stalks.lean
56
59
theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y) (x : (Opens.map α.base).obj U) : Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by
rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ]
import Mathlib.Topology.UniformSpace.CompactConvergence import Mathlib.Topology.UniformSpace.Equicontinuity import Mathlib.Topology.UniformSpace.Equiv open Set Filter Uniformity Topology Function UniformConvergence variable {ι X Y α β : Type*} [TopologicalSpace X] [UniformSpace α] [UniformSpace β] variable {F : ι → X → α} {G : ι → β → α} theorem Equicontinuous.comap_uniformFun_eq [CompactSpace X] (F_eqcont : Equicontinuous F) : (UniformFun.uniformSpace X α).comap F = (Pi.uniformSpace _).comap F := by -- The `≤` inequality is trivial refine le_antisymm (UniformSpace.comap_mono UniformFun.uniformContinuous_toFun) ?_ -- A bit of rewriting to get a nice intermediate statement. change comap _ _ ≤ comap _ _ simp_rw [Pi.uniformity, Filter.comap_iInf, comap_comap, Function.comp] refine ((UniformFun.hasBasis_uniformity X α).comap (Prod.map F F)).ge_iff.mpr ?_ -- Core of the proof: we need to show that, for any entourage `U` in `α`, -- the set `𝐓(U) := {(i,j) : ι × ι | ∀ x : X, (F i x, F j x) ∈ U}` belongs to the filter -- `⨅ x, comap ((i,j) ↦ (F i x, F j x)) (𝓤 α)`. -- In other words, we have to show that it contains a finite intersection of -- sets of the form `𝐒(V, x) := {(i,j) : ι × ι | (F i x, F j x) ∈ V}` for some -- `x : X` and `V ∈ 𝓤 α`. intro U hU -- We will do an `ε/3` argument, so we start by choosing a symmetric entourage `V ∈ 𝓤 α` -- such that `V ○ V ○ V ⊆ U`. rcases comp_comp_symm_mem_uniformity_sets hU with ⟨V, hV, Vsymm, hVU⟩ -- Set `Ω x := {y | ∀ i, (F i x, F i y) ∈ V}`. The equicontinuity of `F` guarantees that -- each `Ω x` is a neighborhood of `x`. let Ω x : Set X := {y | ∀ i, (F i x, F i y) ∈ V} -- Hence, by compactness of `X`, we can find some `A ⊆ X` finite such that the `Ω a`s for `a ∈ A` -- still cover `X`. rcases CompactSpace.elim_nhds_subcover Ω (fun x ↦ F_eqcont x V hV) with ⟨A, Acover⟩ -- We now claim that `⋂ a ∈ A, 𝐒(V, a) ⊆ 𝐓(U)`. have : (⋂ a ∈ A, {ij : ι × ι | (F ij.1 a, F ij.2 a) ∈ V}) ⊆ (Prod.map F F) ⁻¹' UniformFun.gen X α U := by -- Given `(i, j) ∈ ⋂ a ∈ A, 𝐒(V, a)` and `x : X`, we have to prove that `(F i x, F j x) ∈ U`. rintro ⟨i, j⟩ hij x rw [mem_iInter₂] at hij -- We know that `x ∈ Ω a` for some `a ∈ A`, so that both `(F i x, F i a)` and `(F j a, F j x)` -- are in `V`. rcases mem_iUnion₂.mp (Acover.symm.subset <| mem_univ x) with ⟨a, ha, hax⟩ -- Since `(i, j) ∈ 𝐒(V, a)` we also have `(F i a, F j a) ∈ V`, and finally we get -- `(F i x, F j x) ∈ V ○ V ○ V ⊆ U`. exact hVU (prod_mk_mem_compRel (prod_mk_mem_compRel (Vsymm.mk_mem_comm.mp (hax i)) (hij a ha)) (hax j)) -- This completes the proof. exact mem_of_superset (A.iInter_mem_sets.mpr fun x _ ↦ mem_iInf_of_mem x <| preimage_mem_comap hV) this lemma Equicontinuous.uniformInducing_uniformFun_iff_pi [UniformSpace ι] [CompactSpace X] (F_eqcont : Equicontinuous F) : UniformInducing (UniformFun.ofFun ∘ F) ↔ UniformInducing F := by rw [uniformInducing_iff_uniformSpace, uniformInducing_iff_uniformSpace, ← F_eqcont.comap_uniformFun_eq] rfl lemma Equicontinuous.inducing_uniformFun_iff_pi [TopologicalSpace ι] [CompactSpace X] (F_eqcont : Equicontinuous F) : Inducing (UniformFun.ofFun ∘ F) ↔ Inducing F := by rw [inducing_iff, inducing_iff] change (_ = (UniformFun.uniformSpace X α |>.comap F |>.toTopologicalSpace)) ↔ (_ = (Pi.uniformSpace _ |>.comap F |>.toTopologicalSpace)) rw [F_eqcont.comap_uniformFun_eq] theorem Equicontinuous.tendsto_uniformFun_iff_pi [CompactSpace X] (F_eqcont : Equicontinuous F) (ℱ : Filter ι) (f : X → α) : Tendsto (UniformFun.ofFun ∘ F) ℱ (𝓝 <| UniformFun.ofFun f) ↔ Tendsto F ℱ (𝓝 f) := by -- Assume `ℱ` is non trivial. rcases ℱ.eq_or_neBot with rfl | ℱ_ne · simp constructor <;> intro H -- The forward direction is always true, the interesting part is the converse. · exact UniformFun.uniformContinuous_toFun.continuous.tendsto _|>.comp H -- To prove it, assume that `F` tends to `f` *pointwise* along `ℱ`. · set S : Set (X → α) := closure (range F) set 𝒢 : Filter S := comap (↑) (map F ℱ) -- We would like to use `Equicontinuous.comap_uniformFun_eq`, but applying it to `F` is not -- enough since `f` has no reason to be in the range of `F`. -- Instead, we will apply it to the inclusion `(↑) : S → (X → α)` where `S` is the closure of -- the range of `F` *for the product topology*. -- We know that `S` is still equicontinuous... have hS : S.Equicontinuous := closure' (by rwa [equicontinuous_iff_range] at F_eqcont) continuous_id -- ... hence, as announced, the product topology and uniform convergence topology -- coincide on `S`. have ind : Inducing (UniformFun.ofFun ∘ (↑) : S → X →ᵤ α) := hS.inducing_uniformFun_iff_pi.mpr ⟨rfl⟩ -- By construction, `f` is in `S`. have f_mem : f ∈ S := mem_closure_of_tendsto H range_mem_map -- To conclude, we just have to translate our hypothesis and goal as statements about -- `S`, on which we know the two topologies at play coincide. -- For this, we define a filter on `S` by `𝒢 := comap (↑) (map F ℱ)`, and note that -- it satisfies `map (↑) 𝒢 = map F ℱ`. Thus, both our hypothesis and our goal -- can be rewritten as `𝒢 ≤ 𝓝 f`, where the neighborhood filter in the RHS corresponds -- to one of the two topologies at play on `S`. Since they coincide, we are done. have h𝒢ℱ : map (↑) 𝒢 = map F ℱ := Filter.map_comap_of_mem (Subtype.range_coe ▸ mem_of_superset range_mem_map subset_closure) have H' : Tendsto id 𝒢 (𝓝 ⟨f, f_mem⟩) := by rwa [tendsto_id', nhds_induced, ← map_le_iff_le_comap, h𝒢ℱ] rwa [ind.tendsto_nhds_iff, comp_id, ← tendsto_map'_iff, h𝒢ℱ] at H' theorem EquicontinuousOn.comap_uniformOnFun_eq {𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) : (UniformOnFun.uniformSpace X α 𝔖).comap F = (Pi.uniformSpace _).comap ((⋃₀ 𝔖).restrict ∘ F) := by -- Recall that the uniform structure on `X →ᵤ[𝔖] α` is the one induced by all the maps -- `K.restrict : (X →ᵤ[𝔖] α) → (K →ᵤ α)` for `K ∈ 𝔖`. Its pullback along `F`, which is -- the LHS of our goal, is thus the uniform structure induced by the maps -- `K.restrict ∘ F : ι → (K →ᵤ α)` for `K ∈ 𝔖`. have H1 : (UniformOnFun.uniformSpace X α 𝔖).comap F = ⨅ (K ∈ 𝔖), (UniformFun.uniformSpace _ _).comap (K.restrict ∘ F) := by simp_rw [UniformOnFun.uniformSpace, UniformSpace.comap_iInf, ← UniformSpace.comap_comap, UniformFun.ofFun, Equiv.coe_fn_mk, UniformOnFun.toFun, UniformOnFun.ofFun, Function.comp, UniformFun, Equiv.coe_fn_symm_mk] -- Now, note that a similar fact is true for the uniform structure on `X → α` induced by -- the map `(⋃₀ 𝔖).restrict : (X → α) → ((⋃₀ 𝔖) → α)`: it is equal to the one induced by -- all maps `K.restrict : (X → α) → (K → α)` for `K ∈ 𝔖`, which means that the RHS of our -- goal is the uniform structure induced by the maps `K.restrict ∘ F : ι → (K → α)` for `K ∈ 𝔖`. have H2 : (Pi.uniformSpace _).comap ((⋃₀ 𝔖).restrict ∘ F) = ⨅ (K ∈ 𝔖), (Pi.uniformSpace _).comap (K.restrict ∘ F) := by simp_rw [UniformSpace.comap_comap, Pi.uniformSpace_comap_restrict_sUnion (fun _ ↦ α) 𝔖, UniformSpace.comap_iInf] -- But, for `K ∈ 𝔖` fixed, we know that the uniform structures of `K →ᵤ α` and `K → α` -- induce, via the equicontinuous family `K.restrict ∘ F`, the same uniform structure on `ι`. have H3 : ∀ K ∈ 𝔖, (UniformFun.uniformSpace K α).comap (K.restrict ∘ F) = (Pi.uniformSpace _).comap (K.restrict ∘ F) := fun K hK ↦ by have : CompactSpace K := isCompact_iff_compactSpace.mp (𝔖_compact K hK) exact (equicontinuous_restrict_iff _ |>.mpr <| F_eqcont K hK).comap_uniformFun_eq -- Combining these three facts completes the proof. simp_rw [H1, H2, iInf_congr fun K ↦ iInf_congr fun hK ↦ H3 K hK] lemma EquicontinuousOn.uniformInducing_uniformOnFun_iff_pi' [UniformSpace ι] {𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) : UniformInducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔ UniformInducing ((⋃₀ 𝔖).restrict ∘ F) := by rw [uniformInducing_iff_uniformSpace, uniformInducing_iff_uniformSpace, ← EquicontinuousOn.comap_uniformOnFun_eq 𝔖_compact F_eqcont] rfl lemma EquicontinuousOn.uniformInducing_uniformOnFun_iff_pi [UniformSpace ι] {𝔖 : Set (Set X)} (𝔖_covers : ⋃₀ 𝔖 = univ) (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) : UniformInducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔ UniformInducing F := by rw [eq_univ_iff_forall] at 𝔖_covers -- This obviously follows from the previous lemma, we formalize it by going through the -- isomorphism of uniform spaces between `(⋃₀ 𝔖) → α` and `X → α`. let φ : ((⋃₀ 𝔖) → α) ≃ᵤ (X → α) := UniformEquiv.piCongrLeft (β := fun _ ↦ α) (Equiv.subtypeUnivEquiv 𝔖_covers) rw [EquicontinuousOn.uniformInducing_uniformOnFun_iff_pi' 𝔖_compact F_eqcont, show restrict (⋃₀ 𝔖) ∘ F = φ.symm ∘ F by rfl] exact ⟨fun H ↦ φ.uniformInducing.comp H, fun H ↦ φ.symm.uniformInducing.comp H⟩ lemma EquicontinuousOn.inducing_uniformOnFun_iff_pi' [TopologicalSpace ι] {𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) : Inducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔ Inducing ((⋃₀ 𝔖).restrict ∘ F) := by rw [inducing_iff, inducing_iff] change (_ = ((UniformOnFun.uniformSpace X α 𝔖).comap F).toTopologicalSpace) ↔ (_ = ((Pi.uniformSpace _).comap ((⋃₀ 𝔖).restrict ∘ F)).toTopologicalSpace) rw [← EquicontinuousOn.comap_uniformOnFun_eq 𝔖_compact F_eqcont] lemma EquicontinuousOn.inducing_uniformOnFun_iff_pi [TopologicalSpace ι] {𝔖 : Set (Set X)} (𝔖_covers : ⋃₀ 𝔖 = univ) (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) : Inducing (UniformOnFun.ofFun 𝔖 ∘ F) ↔ Inducing F := by rw [eq_univ_iff_forall] at 𝔖_covers -- This obviously follows from the previous lemma, we formalize it by going through the -- homeomorphism between `(⋃₀ 𝔖) → α` and `X → α`. let φ : ((⋃₀ 𝔖) → α) ≃ₜ (X → α) := Homeomorph.piCongrLeft (Y := fun _ ↦ α) (Equiv.subtypeUnivEquiv 𝔖_covers) rw [EquicontinuousOn.inducing_uniformOnFun_iff_pi' 𝔖_compact F_eqcont, show restrict (⋃₀ 𝔖) ∘ F = φ.symm ∘ F by rfl] exact ⟨fun H ↦ φ.inducing.comp H, fun H ↦ φ.symm.inducing.comp H⟩ -- TODO: find a way to factor common elements of this proof and the proof of -- `EquicontinuousOn.comap_uniformOnFun_eq` theorem EquicontinuousOn.tendsto_uniformOnFun_iff_pi' {𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) (ℱ : Filter ι) (f : X → α) : Tendsto (UniformOnFun.ofFun 𝔖 ∘ F) ℱ (𝓝 <| UniformOnFun.ofFun 𝔖 f) ↔ Tendsto ((⋃₀ 𝔖).restrict ∘ F) ℱ (𝓝 <| (⋃₀ 𝔖).restrict f) := by -- Recall that the uniform structure on `X →ᵤ[𝔖] α` is the one induced by all the maps -- `K.restrict : (X →ᵤ[𝔖] α) → (K →ᵤ α)` for `K ∈ 𝔖`. -- Similarly, the uniform structure on `X → α` induced by the map -- `(⋃₀ 𝔖).restrict : (X → α) → ((⋃₀ 𝔖) → α)` is equal to the one induced by -- all maps `K.restrict : (X → α) → (K → α)` for `K ∈ 𝔖` -- Thus, we just have to compare the two sides of our goal when restricted to some -- `K ∈ 𝔖`, where we can apply `Equicontinuous.tendsto_uniformFun_iff_pi`. rw [← Filter.tendsto_comap_iff (g := (⋃₀ 𝔖).restrict), ← nhds_induced] simp_rw [UniformOnFun.topologicalSpace_eq, Pi.induced_restrict_sUnion 𝔖 (π := fun _ ↦ α), _root_.nhds_iInf, nhds_induced, tendsto_iInf, tendsto_comap_iff] congrm ∀ K (hK : K ∈ 𝔖), ?_ have : CompactSpace K := isCompact_iff_compactSpace.mp (𝔖_compact K hK) rw [← (equicontinuous_restrict_iff _ |>.mpr <| F_eqcont K hK).tendsto_uniformFun_iff_pi] rfl
Mathlib/Topology/UniformSpace/Ascoli.lean
354
364
theorem EquicontinuousOn.tendsto_uniformOnFun_iff_pi {𝔖 : Set (Set X)} (𝔖_compact : ∀ K ∈ 𝔖, IsCompact K) (𝔖_covers : ⋃₀ 𝔖 = univ) (F_eqcont : ∀ K ∈ 𝔖, EquicontinuousOn F K) (ℱ : Filter ι) (f : X → α) : Tendsto (UniformOnFun.ofFun 𝔖 ∘ F) ℱ (𝓝 <| UniformOnFun.ofFun 𝔖 f) ↔ Tendsto F ℱ (𝓝 f) := by
rw [eq_univ_iff_forall] at 𝔖_covers let φ : ((⋃₀ 𝔖) → α) ≃ₜ (X → α) := Homeomorph.piCongrLeft (Y := fun _ ↦ α) (Equiv.subtypeUnivEquiv 𝔖_covers) rw [EquicontinuousOn.tendsto_uniformOnFun_iff_pi' 𝔖_compact F_eqcont, show restrict (⋃₀ 𝔖) ∘ F = φ.symm ∘ F by rfl, show restrict (⋃₀ 𝔖) f = φ.symm f by rfl, φ.symm.inducing.tendsto_nhds_iff]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.List.MinMax import Mathlib.Algebra.Tropical.Basic import Mathlib.Order.ConditionallyCompleteLattice.Finset #align_import algebra.tropical.big_operators from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" variable {R S : Type*} open Tropical Finset theorem List.trop_sum [AddMonoid R] (l : List R) : trop l.sum = List.prod (l.map trop) := by induction' l with hd tl IH · simp · simp [← IH] #align list.trop_sum List.trop_sum theorem Multiset.trop_sum [AddCommMonoid R] (s : Multiset R) : trop s.sum = Multiset.prod (s.map trop) := Quotient.inductionOn s (by simpa using List.trop_sum) #align multiset.trop_sum Multiset.trop_sum
Mathlib/Algebra/Tropical/BigOperators.lean
51
55
theorem trop_sum [AddCommMonoid R] (s : Finset S) (f : S → R) : trop (∑ i ∈ s, f i) = ∏ i ∈ s, trop (f i) := by
convert Multiset.trop_sum (s.val.map f) simp only [Multiset.map_map, Function.comp_apply] rfl
import Mathlib.Analysis.Calculus.ContDiff.Defs import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.Deriv.Inverse #align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical NNReal Nat local notation "∞" => (⊤ : ℕ∞) universe u v w uD uE uF uG attribute [local instance 1001] NormedAddCommGroup.toAddCommGroup NormedSpace.toModule' AddCommGroup.toAddCommMonoid open Set Fin Filter Function open scoped Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D] [NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F} {g : F → G} {x x₀ : E} {c : F} {b : E × F → G} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F} @[simp] theorem iteratedFDerivWithin_zero_fun (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} : iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s x = 0 := by induction i generalizing x with | zero => ext; simp | succ i IH => ext m rw [iteratedFDerivWithin_succ_apply_left, fderivWithin_congr (fun _ ↦ IH) (IH hx)] rw [fderivWithin_const_apply _ (hs x hx)] rfl @[simp] theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 := funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using iteratedFDerivWithin_zero_fun uniqueDiffOn_univ (mem_univ x) #align iterated_fderiv_zero_fun iteratedFDeriv_zero_fun theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) := contDiff_of_differentiable_iteratedFDeriv fun m _ => by rw [iteratedFDeriv_zero_fun] exact differentiable_const (0 : E[×m]→L[𝕜] F) #align cont_diff_zero_fun contDiff_zero_fun theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c := by suffices h : ContDiff 𝕜 ∞ fun _ : E => c from h.of_le le_top rw [contDiff_top_iff_fderiv] refine ⟨differentiable_const c, ?_⟩ rw [fderiv_const] exact contDiff_zero_fun #align cont_diff_const contDiff_const theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s := contDiff_const.contDiffOn #align cont_diff_on_const contDiffOn_const theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x := contDiff_const.contDiffAt #align cont_diff_at_const contDiffAt_const theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x := contDiffAt_const.contDiffWithinAt #align cont_diff_within_at_const contDiffWithinAt_const @[nontriviality] theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const #align cont_diff_of_subsingleton contDiff_of_subsingleton @[nontriviality] theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const #align cont_diff_at_of_subsingleton contDiffAt_of_subsingleton @[nontriviality] theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const #align cont_diff_within_at_of_subsingleton contDiffWithinAt_of_subsingleton @[nontriviality] theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const #align cont_diff_on_of_subsingleton contDiffOn_of_subsingleton theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s x = 0 := by ext m rw [iteratedFDerivWithin_succ_apply_right hs hx] rw [iteratedFDerivWithin_congr (fun y hy ↦ fderivWithin_const_apply c (hs y hy)) hx] rw [iteratedFDerivWithin_zero_fun hs hx] simp [ContinuousMultilinearMap.zero_apply (R := 𝕜)] theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) : (iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 := funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using iteratedFDerivWithin_succ_const n c uniqueDiffOn_univ (mem_univ x) #align iterated_fderiv_succ_const iteratedFDeriv_succ_const theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s x = 0 := by cases n with | zero => contradiction | succ n => exact iteratedFDerivWithin_succ_const n c hs hx theorem iteratedFDeriv_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) : (iteratedFDeriv 𝕜 n fun _ : E ↦ c) = 0 := funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using iteratedFDerivWithin_const_of_ne hn c uniqueDiffOn_univ (mem_univ x) #align iterated_fderiv_const_of_ne iteratedFDeriv_const_of_ne theorem IsBoundedLinearMap.contDiff (hf : IsBoundedLinearMap 𝕜 f) : ContDiff 𝕜 n f := by suffices h : ContDiff 𝕜 ∞ f from h.of_le le_top rw [contDiff_top_iff_fderiv] refine ⟨hf.differentiable, ?_⟩ simp_rw [hf.fderiv] exact contDiff_const #align is_bounded_linear_map.cont_diff IsBoundedLinearMap.contDiff theorem ContinuousLinearMap.contDiff (f : E →L[𝕜] F) : ContDiff 𝕜 n f := f.isBoundedLinearMap.contDiff #align continuous_linear_map.cont_diff ContinuousLinearMap.contDiff theorem ContinuousLinearEquiv.contDiff (f : E ≃L[𝕜] F) : ContDiff 𝕜 n f := (f : E →L[𝕜] F).contDiff #align continuous_linear_equiv.cont_diff ContinuousLinearEquiv.contDiff theorem LinearIsometry.contDiff (f : E →ₗᵢ[𝕜] F) : ContDiff 𝕜 n f := f.toContinuousLinearMap.contDiff #align linear_isometry.cont_diff LinearIsometry.contDiff theorem LinearIsometryEquiv.contDiff (f : E ≃ₗᵢ[𝕜] F) : ContDiff 𝕜 n f := (f : E →L[𝕜] F).contDiff #align linear_isometry_equiv.cont_diff LinearIsometryEquiv.contDiff theorem contDiff_id : ContDiff 𝕜 n (id : E → E) := IsBoundedLinearMap.id.contDiff #align cont_diff_id contDiff_id theorem contDiffWithinAt_id {s x} : ContDiffWithinAt 𝕜 n (id : E → E) s x := contDiff_id.contDiffWithinAt #align cont_diff_within_at_id contDiffWithinAt_id theorem contDiffAt_id {x} : ContDiffAt 𝕜 n (id : E → E) x := contDiff_id.contDiffAt #align cont_diff_at_id contDiffAt_id theorem contDiffOn_id {s} : ContDiffOn 𝕜 n (id : E → E) s := contDiff_id.contDiffOn #align cont_diff_on_id contDiffOn_id
Mathlib/Analysis/Calculus/ContDiff/Basic.lean
201
206
theorem IsBoundedBilinearMap.contDiff (hb : IsBoundedBilinearMap 𝕜 b) : ContDiff 𝕜 n b := by
suffices h : ContDiff 𝕜 ∞ b from h.of_le le_top rw [contDiff_top_iff_fderiv] refine ⟨hb.differentiable, ?_⟩ simp only [hb.fderiv] exact hb.isBoundedLinearMap_deriv.contDiff
import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.compression.uv from "leanprover-community/mathlib"@"6f8ab7de1c4b78a68ab8cf7dd83d549eb78a68a1" open Finset variable {α : Type*} theorem sup_sdiff_injOn [GeneralizedBooleanAlgebra α] (u v : α) : { x | Disjoint u x ∧ v ≤ x }.InjOn fun x => (x ⊔ u) \ v := by rintro a ha b hb hab have h : ((a ⊔ u) \ v) \ u ⊔ v = ((b ⊔ u) \ v) \ u ⊔ v := by dsimp at hab rw [hab] rwa [sdiff_sdiff_comm, ha.1.symm.sup_sdiff_cancel_right, sdiff_sdiff_comm, hb.1.symm.sup_sdiff_cancel_right, sdiff_sup_cancel ha.2, sdiff_sup_cancel hb.2] at h #align sup_sdiff_inj_on sup_sdiff_injOn -- The namespace is here to distinguish from other compressions. namespace UV section GeneralizedBooleanAlgebra variable [GeneralizedBooleanAlgebra α] [DecidableRel (@Disjoint α _ _)] [DecidableRel ((· ≤ ·) : α → α → Prop)] {s : Finset α} {u v a b : α} def compress (u v a : α) : α := if Disjoint u a ∧ v ≤ a then (a ⊔ u) \ v else a #align uv.compress UV.compress theorem compress_of_disjoint_of_le (hua : Disjoint u a) (hva : v ≤ a) : compress u v a = (a ⊔ u) \ v := if_pos ⟨hua, hva⟩ #align uv.compress_of_disjoint_of_le UV.compress_of_disjoint_of_le theorem compress_of_disjoint_of_le' (hva : Disjoint v a) (hua : u ≤ a) : compress u v ((a ⊔ v) \ u) = a := by rw [compress_of_disjoint_of_le disjoint_sdiff_self_right (le_sdiff.2 ⟨(le_sup_right : v ≤ a ⊔ v), hva.mono_right hua⟩), sdiff_sup_cancel (le_sup_of_le_left hua), hva.symm.sup_sdiff_cancel_right] #align uv.compress_of_disjoint_of_le' UV.compress_of_disjoint_of_le' @[simp] theorem compress_self (u a : α) : compress u u a = a := by unfold compress split_ifs with h · exact h.1.symm.sup_sdiff_cancel_right · rfl #align uv.compress_self UV.compress_self @[simp] theorem compress_sdiff_sdiff (a b : α) : compress (a \ b) (b \ a) b = a := by refine (compress_of_disjoint_of_le disjoint_sdiff_self_left sdiff_le).trans ?_ rw [sup_sdiff_self_right, sup_sdiff, disjoint_sdiff_self_right.sdiff_eq_left, sup_eq_right] exact sdiff_sdiff_le #align uv.compress_sdiff_sdiff UV.compress_sdiff_sdiff @[simp] theorem compress_idem (u v a : α) : compress u v (compress u v a) = compress u v a := by unfold compress split_ifs with h h' · rw [le_sdiff_iff.1 h'.2, sdiff_bot, sdiff_bot, sup_assoc, sup_idem] · rfl · rfl #align uv.compress_idem UV.compress_idem variable [DecidableEq α] def compression (u v : α) (s : Finset α) := (s.filter (compress u v · ∈ s)) ∪ (s.image <| compress u v).filter (· ∉ s) #align uv.compression UV.compression @[inherit_doc] scoped[FinsetFamily] notation "𝓒 " => UV.compression open scoped FinsetFamily def IsCompressed (u v : α) (s : Finset α) := 𝓒 u v s = s #align uv.is_compressed UV.IsCompressed
Mathlib/Combinatorics/SetFamily/Compression/UV.lean
142
151
theorem compress_injOn : Set.InjOn (compress u v) ↑(s.filter (compress u v · ∉ s)) := by
intro a ha b hb hab rw [mem_coe, mem_filter] at ha hb rw [compress] at ha hab split_ifs at ha hab with has · rw [compress] at hb hab split_ifs at hb hab with hbs · exact sup_sdiff_injOn u v has hbs hab · exact (hb.2 hb.1).elim · exact (ha.2 ha.1).elim
import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Data.Finset.Basic import Mathlib.Order.Interval.Finset.Defs open Function namespace Finset class HasAntidiagonal (A : Type*) [AddMonoid A] where antidiagonal : A → Finset (A × A) mem_antidiagonal {n} {a} : a ∈ antidiagonal n ↔ a.fst + a.snd = n export HasAntidiagonal (antidiagonal mem_antidiagonal) attribute [simp] mem_antidiagonal variable {A : Type*} instance [AddMonoid A] : Subsingleton (HasAntidiagonal A) := ⟨by rintro ⟨a, ha⟩ ⟨b, hb⟩ congr with n xy rw [ha, hb]⟩ -- The goal of this lemma is to allow to rewrite antidiagonal -- when the decidability instances obsucate Lean lemma hasAntidiagonal_congr (A : Type*) [AddMonoid A] [H1 : HasAntidiagonal A] [H2 : HasAntidiagonal A] : H1.antidiagonal = H2.antidiagonal := by congr!; apply Subsingleton.elim theorem swap_mem_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} {xy : A × A}: xy.swap ∈ antidiagonal n ↔ xy ∈ antidiagonal n := by simp [add_comm] @[simp] theorem map_prodComm_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} : (antidiagonal n).map (Equiv.prodComm A A) = antidiagonal n := Finset.ext fun ⟨a, b⟩ => by simp [add_comm] @[simp] theorem map_swap_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} : (antidiagonal n).map ⟨Prod.swap, Prod.swap_injective⟩ = antidiagonal n := map_prodComm_antidiagonal #align finset.nat.map_swap_antidiagonal Finset.map_swap_antidiagonal section OrderedSub variable [CanonicallyOrderedAddCommMonoid A] [Sub A] [OrderedSub A] variable [ContravariantClass A A (· + ·) (· ≤ ·)] variable [HasAntidiagonal A] theorem filter_fst_eq_antidiagonal (n m : A) [DecidablePred (· = m)] [Decidable (m ≤ n)] : filter (fun x : A × A ↦ x.fst = m) (antidiagonal n) = if m ≤ n then {(m, n - m)} else ∅ := by ext ⟨a, b⟩ suffices a = m → (a + b = n ↔ m ≤ n ∧ b = n - m) by rw [mem_filter, mem_antidiagonal, apply_ite (fun n ↦ (a, b) ∈ n), mem_singleton, Prod.mk.inj_iff, ite_prop_iff_or] simpa [ ← and_assoc, @and_right_comm _ (a = _), and_congr_left_iff] rintro rfl constructor · rintro rfl exact ⟨le_add_right le_rfl, (add_tsub_cancel_left _ _).symm⟩ · rintro ⟨h, rfl⟩ exact add_tsub_cancel_of_le h #align finset.nat.filter_fst_eq_antidiagonal Finset.filter_fst_eq_antidiagonal
Mathlib/Data/Finset/Antidiagonal.lean
169
174
theorem filter_snd_eq_antidiagonal (n m : A) [DecidablePred (· = m)] [Decidable (m ≤ n)] : filter (fun x : A × A ↦ x.snd = m) (antidiagonal n) = if m ≤ n then {(n - m, m)} else ∅ := by
have : (fun x : A × A ↦ (x.snd = m)) ∘ Prod.swap = fun x : A × A ↦ x.fst = m := by ext; simp rw [← map_swap_antidiagonal, filter_map] simp [this, filter_fst_eq_antidiagonal, apply_ite (Finset.map _)]
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Defs.Filter #align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" noncomputable section open Set Filter universe u v w x def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T) (sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T) (union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where IsOpen X := Xᶜ ∈ T isOpen_univ := by simp [empty_mem] isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht isOpen_sUnion s hs := by simp only [Set.compl_sUnion] exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy #align topological_space.of_closed TopologicalSpace.ofClosed section TopologicalSpace variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop} open Topology lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl #align is_open_mk isOpen_mk @[ext] protected theorem TopologicalSpace.ext : ∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align topological_space_eq TopologicalSpace.ext section variable [TopologicalSpace X] end protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} : t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s := ⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ #align topological_space_eq_iff TopologicalSpace.ext_iff theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s := rfl #align is_open_fold isOpen_fold variable [TopologicalSpace X] theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) := isOpen_sUnion (forall_mem_range.2 h) #align is_open_Union isOpen_iUnion theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋃ i ∈ s, f i) := isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi #align is_open_bUnion isOpen_biUnion theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩) #align is_open.union IsOpen.union lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) : IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩ rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter] exact isOpen_iUnion fun i ↦ h i @[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim #align is_open_empty isOpen_empty theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) : (∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) := Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by simp only [sInter_insert, forall_mem_insert] at h ⊢ exact h.1.inter (ih h.2) #align is_open_sInter Set.Finite.isOpen_sInter theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h) #align is_open_bInter Set.Finite.isOpen_biInter theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) : IsOpen (⋂ i, s i) := (finite_range _).isOpen_sInter (forall_mem_range.2 h) #align is_open_Inter isOpen_iInter_of_finite theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := s.finite_toSet.isOpen_biInter h #align is_open_bInter_finset isOpen_biInter_finset @[simp] -- Porting note: added `simp` theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*] #align is_open_const isOpen_const theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } := IsOpen.inter #align is_open.and IsOpen.and @[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s := ⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩ #align is_open_compl_iff isOpen_compl_iff theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} : t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by rw [TopologicalSpace.ext_iff, compl_surjective.forall] simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂] alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed -- Porting note (#10756): new lemma theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩ @[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const #align is_closed_empty isClosed_empty @[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const #align is_closed_univ isClosed_univ theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter #align is_closed.union IsClosed.union theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion #align is_closed_sInter isClosed_sInter theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) := isClosed_sInter <| forall_mem_range.2 h #align is_closed_Inter isClosed_iInter theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋂ i ∈ s, f i) := isClosed_iInter fun i => isClosed_iInter <| h i #align is_closed_bInter isClosed_biInter @[simp] theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by rw [← isOpen_compl_iff, compl_compl] #align is_closed_compl_iff isClosed_compl_iff alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff #align is_open.is_closed_compl IsOpen.isClosed_compl theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) := IsOpen.inter h₁ h₂.isOpen_compl #align is_open.sdiff IsOpen.sdiff theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by rw [← isOpen_compl_iff] at * rw [compl_inter] exact IsOpen.union h₁ h₂ #align is_closed.inter IsClosed.inter theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) := IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂) #align is_closed.sdiff IsClosed.sdiff theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact hs.isOpen_biInter h #align is_closed_bUnion Set.Finite.isClosed_biUnion lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := s.finite_toSet.isClosed_biUnion h theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) : IsClosed (⋃ i, s i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact isOpen_iInter_of_finite h #align is_closed_Union isClosed_iUnion_of_finite theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) : IsClosed { x | p x → q x } := by simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq #align is_closed_imp isClosed_imp theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } := isOpen_compl_iff.mpr #align is_closed.not IsClosed.not theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm] #align mem_interior mem_interiorₓ @[simp] theorem isOpen_interior : IsOpen (interior s) := isOpen_sUnion fun _ => And.left #align is_open_interior isOpen_interior theorem interior_subset : interior s ⊆ s := sUnion_subset fun _ => And.right #align interior_subset interior_subset theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s := subset_sUnion_of_mem ⟨h₂, h₁⟩ #align interior_maximal interior_maximal theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s := interior_subset.antisymm (interior_maximal (Subset.refl s) h) #align is_open.interior_eq IsOpen.interior_eq theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s := ⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩ #align interior_eq_iff_is_open interior_eq_iff_isOpen theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and] #align subset_interior_iff_is_open subset_interior_iff_isOpen theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t := ⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩ #align is_open.subset_interior_iff IsOpen.subset_interior_iff theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := ⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ => htU.trans (interior_maximal hUs hU)⟩ #align subset_interior_iff subset_interior_iff lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by simp [interior] @[mono, gcongr] theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t := interior_maximal (Subset.trans interior_subset h) isOpen_interior #align interior_mono interior_mono @[simp] theorem interior_empty : interior (∅ : Set X) = ∅ := isOpen_empty.interior_eq #align interior_empty interior_empty @[simp] theorem interior_univ : interior (univ : Set X) = univ := isOpen_univ.interior_eq #align interior_univ interior_univ @[simp] theorem interior_eq_univ : interior s = univ ↔ s = univ := ⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩ #align interior_eq_univ interior_eq_univ @[simp] theorem interior_interior : interior (interior s) = interior s := isOpen_interior.interior_eq #align interior_interior interior_interior @[simp] theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t := (Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <| interior_maximal (inter_subset_inter interior_subset interior_subset) <| isOpen_interior.inter isOpen_interior #align interior_inter interior_inter theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := hs.induction_on (by simp) <| by intros; simp [*] theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) : interior (⋂₀ S) = ⋂ s ∈ S, interior s := by rw [sInter_eq_biInter, hS.interior_biInter] @[simp] theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := s.finite_toSet.interior_biInter f #align finset.interior_Inter Finset.interior_iInter @[simp] theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) : interior (⋂ i, f i) = ⋂ i, interior (f i) := by rw [← sInter_range, (finite_range f).interior_sInter, biInter_range] #align interior_Inter interior_iInter_of_finite theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s := have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ => by_contradiction fun hx₂ : x ∉ s => have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂ have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff] have : u \ s ⊆ ∅ := by rwa [h₂] at this this ⟨hx₁, hx₂⟩ Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left) #align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by rw [← subset_interior_iff_isOpen] simp only [subset_def, mem_interior] #align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) := subset_iInter fun _ => interior_mono <| iInter_subset _ _ #align interior_Inter_subset interior_iInter_subset theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) : interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) := (interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _ #align interior_Inter₂_subset interior_iInter₂_subset theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s := calc interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter] _ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _ #align interior_sInter_subset interior_sInter_subset theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) := h.lift' fun _ _ ↦ interior_mono theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦ mem_of_superset (mem_lift' hs) interior_subset theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l := le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi @[simp] theorem isClosed_closure : IsClosed (closure s) := isClosed_sInter fun _ => And.left #align is_closed_closure isClosed_closure theorem subset_closure : s ⊆ closure s := subset_sInter fun _ => And.right #align subset_closure subset_closure theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align not_mem_of_not_mem_closure not_mem_of_not_mem_closure theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t := sInter_subset_of_mem ⟨h₂, h₁⟩ #align closure_minimal closure_minimal theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) : Disjoint (closure s) t := disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl #align disjoint.closure_left Disjoint.closure_left theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) : Disjoint s (closure t) := (hd.symm.closure_left hs).symm #align disjoint.closure_right Disjoint.closure_right theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s := Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure #align is_closed.closure_eq IsClosed.closure_eq theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s := closure_minimal (Subset.refl _) hs #align is_closed.closure_subset IsClosed.closure_subset theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t := ⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩ #align is_closed.closure_subset_iff IsClosed.closure_subset_iff theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) : x ∈ s ↔ closure ({x} : Set X) ⊆ s := (hs.closure_subset_iff.trans Set.singleton_subset_iff).symm #align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset @[mono, gcongr] theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t := closure_minimal (Subset.trans h subset_closure) isClosed_closure #align closure_mono closure_mono theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ => closure_mono #align monotone_closure monotone_closure theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure] #align diff_subset_closure_iff diff_subset_closure_iff theorem closure_inter_subset_inter_closure (s t : Set X) : closure (s ∩ t) ⊆ closure s ∩ closure t := (monotone_closure X).map_inf_le s t #align closure_inter_subset_inter_closure closure_inter_subset_inter_closure theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by rw [subset_closure.antisymm h]; exact isClosed_closure #align is_closed_of_closure_subset isClosed_of_closure_subset theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s := ⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩ #align closure_eq_iff_is_closed closure_eq_iff_isClosed theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s := ⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩ #align closure_subset_iff_is_closed closure_subset_iff_isClosed @[simp] theorem closure_empty : closure (∅ : Set X) = ∅ := isClosed_empty.closure_eq #align closure_empty closure_empty @[simp] theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ := ⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩ #align closure_empty_iff closure_empty_iff @[simp] theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff] #align closure_nonempty_iff closure_nonempty_iff alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff #align set.nonempty.of_closure Set.Nonempty.of_closure #align set.nonempty.closure Set.Nonempty.closure @[simp] theorem closure_univ : closure (univ : Set X) = univ := isClosed_univ.closure_eq #align closure_univ closure_univ @[simp] theorem closure_closure : closure (closure s) = closure s := isClosed_closure.closure_eq #align closure_closure closure_closure theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by rw [interior, closure, compl_sUnion, compl_image_set_of] simp only [compl_subset_compl, isOpen_compl_iff] #align closure_eq_compl_interior_compl closure_eq_compl_interior_compl @[simp] theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by simp [closure_eq_compl_interior_compl, compl_inter] #align closure_union closure_union theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by simp [closure_eq_compl_interior_compl, hs.interior_biInter] theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) : closure (⋃₀ S) = ⋃ s ∈ S, closure s := by rw [sUnion_eq_biUnion, hS.closure_biUnion] @[simp] theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := s.finite_toSet.closure_biUnion f #align finset.closure_bUnion Finset.closure_biUnion @[simp] theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) : closure (⋃ i, f i) = ⋃ i, closure (f i) := by rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range] #align closure_Union closure_iUnion_of_finite theorem interior_subset_closure : interior s ⊆ closure s := Subset.trans interior_subset subset_closure #align interior_subset_closure interior_subset_closure @[simp] theorem interior_compl : interior sᶜ = (closure s)ᶜ := by simp [closure_eq_compl_interior_compl] #align interior_compl interior_compl @[simp] theorem closure_compl : closure sᶜ = (interior s)ᶜ := by simp [closure_eq_compl_interior_compl] #align closure_compl closure_compl theorem mem_closure_iff : x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty := ⟨fun h o oo ao => by_contradiction fun os => have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩ closure_minimal this (isClosed_compl_iff.2 oo) h ao, fun H _ ⟨h₁, h₂⟩ => by_contradiction fun nc => let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc hc (h₂ hs)⟩ #align mem_closure_iff mem_closure_iff theorem closure_inter_open_nonempty_iff (h : IsOpen t) : (closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty := ⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h => h.mono <| inf_le_inf_right t subset_closure⟩ #align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure := le_lift'.2 fun _ h => mem_of_superset h subset_closure #align filter.le_lift'_closure Filter.le_lift'_closure theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) := h.lift' (monotone_closure X) #align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l := le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi)) l.le_lift'_closure #align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self @[simp] theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ := ⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h => h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩ #align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot theorem dense_iff_closure_eq : Dense s ↔ closure s = univ := eq_univ_iff_forall.symm #align dense_iff_closure_eq dense_iff_closure_eq alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq #align dense.closure_eq Dense.closure_eq theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by rw [dense_iff_closure_eq, closure_compl, compl_univ_iff] #align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ := interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl] #align dense.interior_compl Dense.interior_compl @[simp] theorem dense_closure : Dense (closure s) ↔ Dense s := by rw [Dense, Dense, closure_closure] #align dense_closure dense_closure protected alias ⟨_, Dense.closure⟩ := dense_closure alias ⟨Dense.of_closure, _⟩ := dense_closure #align dense.of_closure Dense.of_closure #align dense.closure Dense.closure @[simp] theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial #align dense_univ dense_univ theorem dense_iff_inter_open : Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by constructor <;> intro h · rintro U U_op ⟨x, x_in⟩ exact mem_closure_iff.1 (h _) U U_op x_in · intro x rw [mem_closure_iff] intro U U_op x_in exact h U U_op ⟨_, x_in⟩ #align dense_iff_inter_open dense_iff_inter_open alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open #align dense.inter_open_nonempty Dense.inter_open_nonempty theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U) (hne : U.Nonempty) : ∃ x ∈ s, x ∈ U := let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne ⟨x, hx.2, hx.1⟩ #align dense.exists_mem_open Dense.exists_mem_open theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X := ⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ => let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩ ⟨y, hy.2⟩⟩ #align dense.nonempty_iff Dense.nonempty_iff theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty := hs.nonempty_iff.2 h #align dense.nonempty Dense.nonempty @[mono] theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x => closure_mono h (hd x) #align dense.mono Dense.mono theorem dense_compl_singleton_iff_not_open : Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by constructor · intro hd ho exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) · refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_ obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩ exact ho hU #align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open @[simp] theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s := rfl #align closure_diff_interior closure_diff_interior lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq, ← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter] @[simp] theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure] #align closure_diff_frontier closure_diff_frontier @[simp] theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure, inter_eq_self_of_subset_right interior_subset, empty_union] #align self_diff_frontier self_diff_frontier theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by rw [closure_compl, frontier, diff_eq] #align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure theorem frontier_subset_closure : frontier s ⊆ closure s := diff_subset #align frontier_subset_closure frontier_subset_closure theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s := frontier_subset_closure.trans hs.closure_eq.subset #align is_closed.frontier_subset IsClosed.frontier_subset theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s := diff_subset_diff closure_closure.subset <| interior_mono subset_closure #align frontier_closure_subset frontier_closure_subset theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s := diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset #align frontier_interior_subset frontier_interior_subset @[simp] theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm] #align frontier_compl frontier_compl @[simp] theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier] #align frontier_univ frontier_univ @[simp] theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier] #align frontier_empty frontier_empty theorem frontier_inter_subset (s t : Set X) : frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union] refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_ simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc, inter_comm (closure t)] #align frontier_inter_subset frontier_inter_subset theorem frontier_union_subset (s t : Set X) : frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ #align frontier_union_subset frontier_union_subset theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by rw [frontier, hs.closure_eq] #align is_closed.frontier_eq IsClosed.frontier_eq theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by rw [frontier, hs.interior_eq] #align is_open.frontier_eq IsOpen.frontier_eq theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by rw [hs.frontier_eq, inter_diff_self] #align is_open.inter_frontier_eq IsOpen.inter_frontier_eq theorem isClosed_frontier : IsClosed (frontier s) := by rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure #align is_closed_frontier isClosed_frontier theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by have A : frontier s = s \ interior s := h.frontier_eq have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset have C : interior (frontier s) ⊆ frontier s := interior_subset have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) := subset_inter B (by simpa [A] using C) rwa [inter_diff_self, subset_empty_iff] at this #align interior_frontier interior_frontier theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s := (union_diff_cancel interior_subset_closure).symm #align closure_eq_interior_union_frontier closure_eq_interior_union_frontier theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s := (union_diff_cancel' interior_subset subset_closure).symm #align closure_eq_self_union_frontier closure_eq_self_union_frontier theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t := subset_compl_iff_disjoint_right.1 <| frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht #align disjoint.frontier_left Disjoint.frontier_left theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) := (hd.symm.frontier_left hs).symm #align disjoint.frontier_right Disjoint.frontier_right theorem frontier_eq_inter_compl_interior : frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior] #align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior theorem compl_frontier_eq_union_interior : (frontier s)ᶜ = interior s ∪ interior sᶜ := by rw [frontier_eq_inter_compl_interior] simp only [compl_inter, compl_compl] #align compl_frontier_eq_union_interior compl_frontier_eq_union_interior theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and] #align nhds_def' nhds_def' theorem nhds_basis_opens (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by rw [nhds_def] exact hasBasis_biInf_principal (fun s ⟨has, hs⟩ t ⟨hat, ht⟩ => ⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩) ⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩ #align nhds_basis_opens nhds_basis_opens theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl := ⟨fun t => (nhds_basis_opens x).mem_iff.trans <| compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩ #align nhds_basis_closeds nhds_basis_closeds @[simp] theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x := (nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) := lift'_nhds_interior x ▸ h.lift'_interior theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def] #align le_nhds_iff le_nhds_iff theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf #align nhds_le_of_le nhds_le_of_le theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := (nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ => ⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩ #align mem_nhds_iff mem_nhds_iffₓ theorem eventually_nhds_iff {p : X → Prop} : (∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t := mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq] #align eventually_nhds_iff eventually_nhds_iff theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x := mem_interior.trans mem_nhds_iff.symm #align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds theorem map_nhds {f : X → α} : map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) := ((nhds_basis_opens x).map f).eq_biInf #align map_nhds map_nhds theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H => let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs #align mem_of_mem_nhds mem_of_mem_nhds theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x := mem_of_mem_nhds h #align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x := mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩ #align is_open.mem_nhds IsOpen.mem_nhds protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s := ⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩ #align is_open.mem_nhds_iff IsOpen.mem_nhds_iff theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x := hs.isOpen_compl.mem_nhds (mem_compl hx) #align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) : ∀ᶠ x in 𝓝 x, x ∈ s := IsOpen.mem_nhds hs hx #align is_open.eventually_mem IsOpen.eventually_mem theorem nhds_basis_opens' (x : X) : (𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by convert nhds_basis_opens x using 2 exact and_congr_left_iff.2 IsOpen.mem_nhds_iff #align nhds_basis_opens' nhds_basis_opens' theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := ⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩ #align exists_open_set_nhds exists_open_set_nhds theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := exists_open_set_nhds (by simpa using h) #align exists_open_set_nhds' exists_open_set_nhds' theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : ∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x := let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩ #align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds @[simp] theorem eventually_eventually_nhds {p : X → Prop} : (∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x := ⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩ #align eventually_eventually_nhds eventually_eventually_nhds @[simp] theorem frequently_frequently_nhds {p : X → Prop} : (∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by rw [← not_iff_not] simp only [not_frequently, eventually_eventually_nhds] #align frequently_frequently_nhds frequently_frequently_nhds @[simp] theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x := eventually_eventually_nhds #align eventually_mem_nhds eventually_mem_nhds @[simp] theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x := Filter.ext fun _ => eventually_eventually_nhds #align nhds_bind_nhds nhds_bind_nhds @[simp] theorem eventually_eventuallyEq_nhds {f g : X → α} : (∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x := h.self_of_nhds #align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds @[simp] theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} : (∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_le_nhds eventually_eventuallyLE_nhds theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) : (∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s := ((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp] #align all_mem_nhds all_mem_nhds theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t) (l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l := all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt) #align all_mem_nhds_filter all_mem_nhds_filter theorem tendsto_nhds {f : α → X} {l : Filter α} : Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l := all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _ #align tendsto_nhds tendsto_nhds theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} : Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U := (atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le] #align tendsto_at_top_nhds tendsto_atTop_nhds theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) := tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha #align tendsto_const_nhds tendsto_const_nhds theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs #align pure_le_nhds pure_le_nhds theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) := (tendsto_pure_pure f a).mono_right (pure_le_nhds _) #align tendsto_pure_nhds tendsto_pure_nhds theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) : Tendsto f atTop (𝓝 (f ⊤)) := (tendsto_atTop_pure f).mono_right (pure_le_nhds _) #align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds @[simp] instance nhds_neBot : NeBot (𝓝 x) := neBot_of_le (pure_le_nhds x) #align nhds_ne_bot nhds_neBot theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) : Tendsto f l (𝓝 x) := tendsto_const_nhds.congr' (.symm h) theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) : Tendsto f l (𝓝 x) := tendsto_nhds_of_eventually_eq hf theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) := h #align cluster_pt.ne_bot ClusterPt.neBot theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop} {sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) : ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty := hX.inf_basis_neBot_iff hF #align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff theorem clusterPt_iff {F : Filter X} : ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty := inf_neBot_iff #align cluster_pt_iff clusterPt_iff theorem clusterPt_iff_not_disjoint {F : Filter X} : ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by rw [disjoint_iff, ClusterPt, neBot_iff] theorem clusterPt_principal_iff : ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty := inf_principal_neBot_iff #align cluster_pt_principal_iff clusterPt_principal_iff theorem clusterPt_principal_iff_frequently : ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff] #align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by rwa [ClusterPt, inf_eq_right.mpr H] #align cluster_pt.of_le_nhds ClusterPt.of_le_nhds theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) : ClusterPt x f := ClusterPt.of_le_nhds H #align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds' theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot] #align cluster_pt.of_nhds_le ClusterPt.of_nhds_le theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g := NeBot.mono H <| inf_le_inf_left _ h #align cluster_pt.mono ClusterPt.mono theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f := H.mono inf_le_left #align cluster_pt.of_inf_left ClusterPt.of_inf_left theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x g := H.mono inf_le_right #align cluster_pt.of_inf_right ClusterPt.of_inf_right theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x := ⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩ #align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔ ∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map] rfl #align map_cluster_pt_iff mapClusterPt_iff theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β} {u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β} {u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) : MapClusterPt x F u := by have := calc map (u ∘ φ) p = map u (map φ p) := map_map _ ≤ map u F := map_mono h have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this exact neBot_of_le this #align map_cluster_pt_of_comp mapClusterPt_of_comp theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by rw [AccPt, nhdsWithin, ClusterPt, inf_assoc] #align acc_iff_cluster acc_iff_cluster theorem acc_principal_iff_cluster (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq] #align acc_principal_iff_cluster acc_principal_iff_cluster theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc, @and_comm (¬_ = x)] #align acc_pt_iff_nhds accPt_iff_nhds theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm] #align acc_pt_iff_frequently accPt_iff_frequently theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G := NeBot.mono h (inf_le_inf_left _ hFG) #align acc_pt.mono AccPt.mono theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } := Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq] #align interior_eq_nhds' interior_eq_nhds' theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } := interior_eq_nhds'.trans <| by simp only [le_principal_iff] #align interior_eq_nhds interior_eq_nhds @[simp] theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x := ⟨fun h => mem_of_superset h interior_subset, fun h => IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩ #align interior_mem_nhds interior_mem_nhds theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } := interior_eq_nhds' #align interior_set_of_eq interior_setOf_eq theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by simp only [← interior_setOf_eq, isOpen_interior] #align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by simp_rw [subset_def, mem_interior_iff_mem_nhds] #align subset_interior_iff_nhds subset_interior_iff_nhds theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := calc IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm _ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf] #align is_open_iff_nhds isOpen_iff_nhds theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} : t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x := ⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩ alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x := isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff #align is_open_iff_mem_nhds isOpen_iff_mem_nhds theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s := isOpen_iff_mem_nhds #align is_open_iff_eventually isOpen_iff_eventually theorem isOpen_iff_ultrafilter : IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter] #align is_open_iff_ultrafilter isOpen_iff_ultrafilter theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by constructor · intro h apply le_antisymm _ (pure_le_nhds x) rw [le_pure_iff] exact h.mem_nhds (mem_singleton x) · intro h simp [isOpen_iff_nhds, h] #align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff, nhds_neBot.le_pure_iff] #align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds, closure_eq_compl_interior_compl, mem_compl_iff, compl_def] #align mem_closure_iff_frequently mem_closure_iff_frequently alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently #align filter.frequently.mem_closure Filter.Frequently.mem_closure theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by rw [← closure_subset_iff_isClosed] refine forall_congr' fun x => ?_ rw [mem_closure_iff_frequently] #align is_closed_iff_frequently isClosed_iff_frequently theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or] refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2 exacts [isOpen_setOf_eventually_nhds, isOpen_const] #align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) := mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm #align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ := mem_closure_iff_clusterPt.trans neBot_iff #align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot @[deprecated (since := "2024-01-28")] alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) := mem_closure_iff_clusterPt #align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by rw [mem_closure_iff_nhdsWithin_neBot, not_neBot] theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by intro y rcases eq_or_ne y x with (rfl | hne) · rwa [mem_closure_iff_nhdsWithin_neBot] · exact subset_closure hne #align dense_compl_singleton dense_compl_singleton -- Porting note (#10618): was a `@[simp]` lemma but `simp` can prove it theorem closure_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : closure {x}ᶜ = (univ : Set X) := (dense_compl_singleton x).closure_eq #align closure_compl_singleton closure_compl_singleton @[simp] theorem interior_singleton (x : X) [NeBot (𝓝[≠] x)] : interior {x} = (∅ : Set X) := interior_eq_empty_iff_dense_compl.2 (dense_compl_singleton x) #align interior_singleton interior_singleton theorem not_isOpen_singleton (x : X) [NeBot (𝓝[≠] x)] : ¬IsOpen ({x} : Set X) := dense_compl_singleton_iff_not_open.1 (dense_compl_singleton x) #align not_is_open_singleton not_isOpen_singleton theorem closure_eq_cluster_pts : closure s = { a | ClusterPt a (𝓟 s) } := Set.ext fun _ => mem_closure_iff_clusterPt #align closure_eq_cluster_pts closure_eq_cluster_pts theorem mem_closure_iff_nhds : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, (t ∩ s).Nonempty := mem_closure_iff_clusterPt.trans clusterPt_principal_iff #align mem_closure_iff_nhds mem_closure_iff_nhds theorem mem_closure_iff_nhds' : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, ∃ y : s, ↑y ∈ t := by simp only [mem_closure_iff_nhds, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop] #align mem_closure_iff_nhds' mem_closure_iff_nhds' theorem mem_closure_iff_comap_neBot : x ∈ closure s ↔ NeBot (comap ((↑) : s → X) (𝓝 x)) := by simp_rw [mem_closure_iff_nhds, comap_neBot_iff, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop] #align mem_closure_iff_comap_ne_bot mem_closure_iff_comap_neBot theorem mem_closure_iff_nhds_basis' {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : x ∈ closure t ↔ ∀ i, p i → (s i ∩ t).Nonempty := mem_closure_iff_clusterPt.trans <| (h.clusterPt_iff (hasBasis_principal _)).trans <| by simp only [exists_prop, forall_const] #align mem_closure_iff_nhds_basis' mem_closure_iff_nhds_basis' theorem mem_closure_iff_nhds_basis {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : x ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i := (mem_closure_iff_nhds_basis' h).trans <| by simp only [Set.Nonempty, mem_inter_iff, exists_prop, and_comm] #align mem_closure_iff_nhds_basis mem_closure_iff_nhds_basis theorem clusterPt_iff_forall_mem_closure {F : Filter X} : ClusterPt x F ↔ ∀ s ∈ F, x ∈ closure s := by simp_rw [ClusterPt, inf_neBot_iff, mem_closure_iff_nhds] rw [forall₂_swap] theorem clusterPt_iff_lift'_closure {F : Filter X} : ClusterPt x F ↔ pure x ≤ (F.lift' closure) := by simp_rw [clusterPt_iff_forall_mem_closure, (hasBasis_pure _).le_basis_iff F.basis_sets.lift'_closure, id, singleton_subset_iff, true_and, exists_const] theorem clusterPt_iff_lift'_closure' {F : Filter X} : ClusterPt x F ↔ (F.lift' closure ⊓ pure x).NeBot := by rw [clusterPt_iff_lift'_closure, ← Ultrafilter.coe_pure, inf_comm, Ultrafilter.inf_neBot_iff] @[simp] theorem clusterPt_lift'_closure_iff {F : Filter X} : ClusterPt x (F.lift' closure) ↔ ClusterPt x F := by simp [clusterPt_iff_lift'_closure, lift'_lift'_assoc (monotone_closure X) (monotone_closure X)] theorem mem_closure_iff_ultrafilter : x ∈ closure s ↔ ∃ u : Ultrafilter X, s ∈ u ∧ ↑u ≤ 𝓝 x := by simp [closure_eq_cluster_pts, ClusterPt, ← exists_ultrafilter_iff, and_comm] #align mem_closure_iff_ultrafilter mem_closure_iff_ultrafilter theorem isClosed_iff_clusterPt : IsClosed s ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s := calc IsClosed s ↔ closure s ⊆ s := closure_subset_iff_isClosed.symm _ ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s := by simp only [subset_def, mem_closure_iff_clusterPt] #align is_closed_iff_cluster_pt isClosed_iff_clusterPt theorem isClosed_iff_ultrafilter : IsClosed s ↔ ∀ x, ∀ u : Ultrafilter X, ↑u ≤ 𝓝 x → s ∈ u → x ∈ s := by simp [isClosed_iff_clusterPt, ClusterPt, ← exists_ultrafilter_iff] theorem isClosed_iff_nhds : IsClosed s ↔ ∀ x, (∀ U ∈ 𝓝 x, (U ∩ s).Nonempty) → x ∈ s := by simp_rw [isClosed_iff_clusterPt, ClusterPt, inf_principal_neBot_iff] #align is_closed_iff_nhds isClosed_iff_nhds lemma isClosed_iff_forall_filter : IsClosed s ↔ ∀ x, ∀ F : Filter X, F.NeBot → F ≤ 𝓟 s → F ≤ 𝓝 x → x ∈ s := by simp_rw [isClosed_iff_clusterPt] exact ⟨fun hs x F F_ne FS Fx ↦ hs _ <| NeBot.mono F_ne (le_inf Fx FS), fun hs x hx ↦ hs x (𝓝 x ⊓ 𝓟 s) hx inf_le_right inf_le_left⟩ theorem IsClosed.interior_union_left (_ : IsClosed s) : interior (s ∪ t) ⊆ s ∪ interior t := fun a ⟨u, ⟨⟨hu₁, hu₂⟩, ha⟩⟩ => (Classical.em (a ∈ s)).imp_right fun h => mem_interior.mpr ⟨u ∩ sᶜ, fun _x hx => (hu₂ hx.1).resolve_left hx.2, IsOpen.inter hu₁ IsClosed.isOpen_compl, ⟨ha, h⟩⟩ #align is_closed.interior_union_left IsClosed.interior_union_left theorem IsClosed.interior_union_right (h : IsClosed t) : interior (s ∪ t) ⊆ interior s ∪ t := by simpa only [union_comm _ t] using h.interior_union_left #align is_closed.interior_union_right IsClosed.interior_union_right theorem IsOpen.inter_closure (h : IsOpen s) : s ∩ closure t ⊆ closure (s ∩ t) := compl_subset_compl.mp <| by simpa only [← interior_compl, compl_inter] using IsClosed.interior_union_left h.isClosed_compl #align is_open.inter_closure IsOpen.inter_closure theorem IsOpen.closure_inter (h : IsOpen t) : closure s ∩ t ⊆ closure (s ∩ t) := by simpa only [inter_comm t] using h.inter_closure #align is_open.closure_inter IsOpen.closure_inter theorem Dense.open_subset_closure_inter (hs : Dense s) (ht : IsOpen t) : t ⊆ closure (t ∩ s) := calc t = t ∩ closure s := by rw [hs.closure_eq, inter_univ] _ ⊆ closure (t ∩ s) := ht.inter_closure #align dense.open_subset_closure_inter Dense.open_subset_closure_inter theorem mem_closure_of_mem_closure_union (h : x ∈ closure (s₁ ∪ s₂)) (h₁ : s₁ᶜ ∈ 𝓝 x) : x ∈ closure s₂ := by rw [mem_closure_iff_nhds_ne_bot] at * rwa [← sup_principal, inf_sup_left, inf_principal_eq_bot.mpr h₁, bot_sup_eq] at h #align mem_closure_of_mem_closure_union mem_closure_of_mem_closure_union theorem Dense.inter_of_isOpen_left (hs : Dense s) (ht : Dense t) (hso : IsOpen s) : Dense (s ∩ t) := fun x => closure_minimal hso.inter_closure isClosed_closure <| by simp [hs.closure_eq, ht.closure_eq] #align dense.inter_of_open_left Dense.inter_of_isOpen_left theorem Dense.inter_of_isOpen_right (hs : Dense s) (ht : Dense t) (hto : IsOpen t) : Dense (s ∩ t) := inter_comm t s ▸ ht.inter_of_isOpen_left hs hto #align dense.inter_of_open_right Dense.inter_of_isOpen_right theorem Dense.inter_nhds_nonempty (hs : Dense s) (ht : t ∈ 𝓝 x) : (s ∩ t).Nonempty := let ⟨U, hsub, ho, hx⟩ := mem_nhds_iff.1 ht (hs.inter_open_nonempty U ho ⟨x, hx⟩).mono fun _y hy => ⟨hy.2, hsub hy.1⟩ #align dense.inter_nhds_nonempty Dense.inter_nhds_nonempty theorem closure_diff : closure s \ closure t ⊆ closure (s \ t) := calc closure s \ closure t = (closure t)ᶜ ∩ closure s := by simp only [diff_eq, inter_comm] _ ⊆ closure ((closure t)ᶜ ∩ s) := (isOpen_compl_iff.mpr <| isClosed_closure).inter_closure _ = closure (s \ closure t) := by simp only [diff_eq, inter_comm] _ ⊆ closure (s \ t) := closure_mono <| diff_subset_diff (Subset.refl s) subset_closure #align closure_diff closure_diff theorem Filter.Frequently.mem_of_closed (h : ∃ᶠ x in 𝓝 x, x ∈ s) (hs : IsClosed s) : x ∈ s := hs.closure_subset h.mem_closure #align filter.frequently.mem_of_closed Filter.Frequently.mem_of_closed theorem IsClosed.mem_of_frequently_of_tendsto {f : α → X} {b : Filter α} (hs : IsClosed s) (h : ∃ᶠ x in b, f x ∈ s) (hf : Tendsto f b (𝓝 x)) : x ∈ s := (hf.frequently <| show ∃ᶠ x in b, (fun y => y ∈ s) (f x) from h).mem_of_closed hs #align is_closed.mem_of_frequently_of_tendsto IsClosed.mem_of_frequently_of_tendsto theorem IsClosed.mem_of_tendsto {f : α → X} {b : Filter α} [NeBot b] (hs : IsClosed s) (hf : Tendsto f b (𝓝 x)) (h : ∀ᶠ x in b, f x ∈ s) : x ∈ s := hs.mem_of_frequently_of_tendsto h.frequently hf #align is_closed.mem_of_tendsto IsClosed.mem_of_tendsto theorem mem_closure_of_frequently_of_tendsto {f : α → X} {b : Filter α} (h : ∃ᶠ x in b, f x ∈ s) (hf : Tendsto f b (𝓝 x)) : x ∈ closure s := (hf.frequently h).mem_closure #align mem_closure_of_frequently_of_tendsto mem_closure_of_frequently_of_tendsto theorem mem_closure_of_tendsto {f : α → X} {b : Filter α} [NeBot b] (hf : Tendsto f b (𝓝 x)) (h : ∀ᶠ x in b, f x ∈ s) : x ∈ closure s := mem_closure_of_frequently_of_tendsto h.frequently hf #align mem_closure_of_tendsto mem_closure_of_tendsto theorem tendsto_inf_principal_nhds_iff_of_forall_eq {f : α → X} {l : Filter α} {s : Set α} (h : ∀ a ∉ s, f a = x) : Tendsto f (l ⊓ 𝓟 s) (𝓝 x) ↔ Tendsto f l (𝓝 x) := by rw [tendsto_iff_comap, tendsto_iff_comap] replace h : 𝓟 sᶜ ≤ comap f (𝓝 x) := by rintro U ⟨t, ht, htU⟩ x hx have : f x ∈ t := (h x hx).symm ▸ mem_of_mem_nhds ht exact htU this refine ⟨fun h' => ?_, le_trans inf_le_left⟩ have := sup_le h' h rw [sup_inf_right, sup_principal, union_compl_self, principal_univ, inf_top_eq, sup_le_iff] at this exact this.1 #align tendsto_inf_principal_nhds_iff_of_forall_eq tendsto_inf_principal_nhds_iff_of_forall_eq open Topology section Continuous variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] open TopologicalSpace -- The curly braces are intentional, so this definition works well with simp -- when topologies are not those provided by instances. theorem continuous_def {_ : TopologicalSpace X} {_ : TopologicalSpace Y} {f : X → Y} : Continuous f ↔ ∀ s, IsOpen s → IsOpen (f ⁻¹' s) := ⟨fun hf => hf.1, fun h => ⟨h⟩⟩ #align continuous_def continuous_def variable {f : X → Y} {s : Set X} {x : X} {y : Y} theorem IsOpen.preimage (hf : Continuous f) {t : Set Y} (h : IsOpen t) : IsOpen (f ⁻¹' t) := hf.isOpen_preimage t h #align is_open.preimage IsOpen.preimage theorem continuous_congr {g : X → Y} (h : ∀ x, f x = g x) : Continuous f ↔ Continuous g := .of_eq <| congrArg _ <| funext h theorem Continuous.congr {g : X → Y} (h : Continuous f) (h' : ∀ x, f x = g x) : Continuous g := continuous_congr h' |>.mp h #align continuous.congr Continuous.congr theorem ContinuousAt.tendsto (h : ContinuousAt f x) : Tendsto f (𝓝 x) (𝓝 (f x)) := h #align continuous_at.tendsto ContinuousAt.tendsto theorem continuousAt_def : ContinuousAt f x ↔ ∀ A ∈ 𝓝 (f x), f ⁻¹' A ∈ 𝓝 x := Iff.rfl #align continuous_at_def continuousAt_def theorem continuousAt_congr {g : X → Y} (h : f =ᶠ[𝓝 x] g) : ContinuousAt f x ↔ ContinuousAt g x := by simp only [ContinuousAt, tendsto_congr' h, h.eq_of_nhds] #align continuous_at_congr continuousAt_congr theorem ContinuousAt.congr {g : X → Y} (hf : ContinuousAt f x) (h : f =ᶠ[𝓝 x] g) : ContinuousAt g x := (continuousAt_congr h).1 hf #align continuous_at.congr ContinuousAt.congr theorem ContinuousAt.preimage_mem_nhds {t : Set Y} (h : ContinuousAt f x) (ht : t ∈ 𝓝 (f x)) : f ⁻¹' t ∈ 𝓝 x := h ht #align continuous_at.preimage_mem_nhds ContinuousAt.preimage_mem_nhds theorem ContinuousAt.eventually_mem {f : X → Y} {x : X} (hf : ContinuousAt f x) {s : Set Y} (hs : s ∈ 𝓝 (f x)) : ∀ᶠ y in 𝓝 x, f y ∈ s := hf hs @[deprecated (since := "2024-01-15")] theorem eventuallyEq_zero_nhds {M₀} [Zero M₀] {f : X → M₀} : f =ᶠ[𝓝 x] 0 ↔ x ∉ closure (Function.support f) := by rw [← mem_compl_iff, ← interior_compl, mem_interior_iff_mem_nhds, Function.compl_support, EventuallyEq, eventually_iff] simp only [Pi.zero_apply] #align eventually_eq_zero_nhds eventuallyEq_zero_nhds theorem ClusterPt.map {lx : Filter X} {ly : Filter Y} (H : ClusterPt x lx) (hfc : ContinuousAt f x) (hf : Tendsto f lx ly) : ClusterPt (f x) ly := (NeBot.map H f).mono <| hfc.tendsto.inf hf #align cluster_pt.map ClusterPt.map theorem preimage_interior_subset_interior_preimage {t : Set Y} (hf : Continuous f) : f ⁻¹' interior t ⊆ interior (f ⁻¹' t) := interior_maximal (preimage_mono interior_subset) (isOpen_interior.preimage hf) #align preimage_interior_subset_interior_preimage preimage_interior_subset_interior_preimage @[continuity] theorem continuous_id : Continuous (id : X → X) := continuous_def.2 fun _ => id #align continuous_id continuous_id -- This is needed due to reducibility issues with the `continuity` tactic. @[continuity, fun_prop] theorem continuous_id' : Continuous (fun (x : X) => x) := continuous_id theorem Continuous.comp {g : Y → Z} (hg : Continuous g) (hf : Continuous f) : Continuous (g ∘ f) := continuous_def.2 fun _ h => (h.preimage hg).preimage hf #align continuous.comp Continuous.comp -- This is needed due to reducibility issues with the `continuity` tactic. @[continuity, fun_prop] theorem Continuous.comp' {g : Y → Z} (hg : Continuous g) (hf : Continuous f) : Continuous (fun x => g (f x)) := hg.comp hf theorem Continuous.iterate {f : X → X} (h : Continuous f) (n : ℕ) : Continuous f^[n] := Nat.recOn n continuous_id fun _ ihn => ihn.comp h #align continuous.iterate Continuous.iterate nonrec theorem ContinuousAt.comp {g : Y → Z} (hg : ContinuousAt g (f x)) (hf : ContinuousAt f x) : ContinuousAt (g ∘ f) x := hg.comp hf #align continuous_at.comp ContinuousAt.comp @[fun_prop] theorem ContinuousAt.comp' {g : Y → Z} {x : X} (hg : ContinuousAt g (f x)) (hf : ContinuousAt f x) : ContinuousAt (fun x => g (f x)) x := ContinuousAt.comp hg hf
Mathlib/Topology/Basic.lean
1,614
1,615
theorem ContinuousAt.comp_of_eq {g : Y → Z} (hg : ContinuousAt g y) (hf : ContinuousAt f x) (hy : f x = y) : ContinuousAt (g ∘ f) x := by
subst hy; exact hg.comp hf
import Mathlib.Topology.Algebra.Algebra import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Topology.UrysohnsLemma import Mathlib.Analysis.RCLike.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Topology.Algebra.Module.CharacterSpace #align_import topology.continuous_function.ideals from "leanprover-community/mathlib"@"c2258f7bf086b17eac0929d635403780c39e239f" open scoped NNReal namespace ContinuousMap open TopologicalSpace section TopologicalRing variable {X R : Type*} [TopologicalSpace X] [Semiring R] variable [TopologicalSpace R] [TopologicalSemiring R] variable (R) def idealOfSet (s : Set X) : Ideal C(X, R) where carrier := {f : C(X, R) | ∀ x ∈ sᶜ, f x = 0} add_mem' {f g} hf hg x hx := by simp [hf x hx, hg x hx, coe_add, Pi.add_apply, add_zero] zero_mem' _ _ := rfl smul_mem' c f hf x hx := mul_zero (c x) ▸ congr_arg (fun y => c x * y) (hf x hx) #align continuous_map.ideal_of_set ContinuousMap.idealOfSet theorem idealOfSet_closed [T2Space R] (s : Set X) : IsClosed (idealOfSet R s : Set C(X, R)) := by simp only [idealOfSet, Submodule.coe_set_mk, Set.setOf_forall] exact isClosed_iInter fun x => isClosed_iInter fun _ => isClosed_eq (continuous_eval_const x) continuous_const #align continuous_map.ideal_of_set_closed ContinuousMap.idealOfSet_closed variable {R} theorem mem_idealOfSet {s : Set X} {f : C(X, R)} : f ∈ idealOfSet R s ↔ ∀ ⦃x : X⦄, x ∈ sᶜ → f x = 0 := by convert Iff.rfl #align continuous_map.mem_ideal_of_set ContinuousMap.mem_idealOfSet theorem not_mem_idealOfSet {s : Set X} {f : C(X, R)} : f ∉ idealOfSet R s ↔ ∃ x ∈ sᶜ, f x ≠ 0 := by simp_rw [mem_idealOfSet]; push_neg; rfl #align continuous_map.not_mem_ideal_of_set ContinuousMap.not_mem_idealOfSet def setOfIdeal (I : Ideal C(X, R)) : Set X := {x : X | ∀ f ∈ I, (f : C(X, R)) x = 0}ᶜ #align continuous_map.set_of_ideal ContinuousMap.setOfIdeal
Mathlib/Topology/ContinuousFunction/Ideals.lean
118
120
theorem not_mem_setOfIdeal {I : Ideal C(X, R)} {x : X} : x ∉ setOfIdeal I ↔ ∀ ⦃f : C(X, R)⦄, f ∈ I → f x = 0 := by
rw [← Set.mem_compl_iff, setOfIdeal, compl_compl, Set.mem_setOf]
import Mathlib.Combinatorics.SimpleGraph.Connectivity import Mathlib.Data.Nat.Lattice #align_import combinatorics.simple_graph.metric from "leanprover-community/mathlib"@"352ecfe114946c903338006dd3287cb5a9955ff2" namespace SimpleGraph variable {V : Type*} (G : SimpleGraph V) noncomputable def dist (u v : V) : ℕ := sInf (Set.range (Walk.length : G.Walk u v → ℕ)) #align simple_graph.dist SimpleGraph.dist variable {G} protected theorem Reachable.exists_walk_of_dist {u v : V} (hr : G.Reachable u v) : ∃ p : G.Walk u v, p.length = G.dist u v := Nat.sInf_mem (Set.range_nonempty_iff_nonempty.mpr hr) #align simple_graph.reachable.exists_walk_of_dist SimpleGraph.Reachable.exists_walk_of_dist protected theorem Connected.exists_walk_of_dist (hconn : G.Connected) (u v : V) : ∃ p : G.Walk u v, p.length = G.dist u v := (hconn u v).exists_walk_of_dist #align simple_graph.connected.exists_walk_of_dist SimpleGraph.Connected.exists_walk_of_dist theorem dist_le {u v : V} (p : G.Walk u v) : G.dist u v ≤ p.length := Nat.sInf_le ⟨p, rfl⟩ #align simple_graph.dist_le SimpleGraph.dist_le @[simp] theorem dist_eq_zero_iff_eq_or_not_reachable {u v : V} : G.dist u v = 0 ↔ u = v ∨ ¬G.Reachable u v := by simp [dist, Nat.sInf_eq_zero, Reachable] #align simple_graph.dist_eq_zero_iff_eq_or_not_reachable SimpleGraph.dist_eq_zero_iff_eq_or_not_reachable theorem dist_self {v : V} : dist G v v = 0 := by simp #align simple_graph.dist_self SimpleGraph.dist_self protected theorem Reachable.dist_eq_zero_iff {u v : V} (hr : G.Reachable u v) : G.dist u v = 0 ↔ u = v := by simp [hr] #align simple_graph.reachable.dist_eq_zero_iff SimpleGraph.Reachable.dist_eq_zero_iff protected theorem Reachable.pos_dist_of_ne {u v : V} (h : G.Reachable u v) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by simp [h, hne]) #align simple_graph.reachable.pos_dist_of_ne SimpleGraph.Reachable.pos_dist_of_ne protected theorem Connected.dist_eq_zero_iff (hconn : G.Connected) {u v : V} : G.dist u v = 0 ↔ u = v := by simp [hconn u v] #align simple_graph.connected.dist_eq_zero_iff SimpleGraph.Connected.dist_eq_zero_iff protected theorem Connected.pos_dist_of_ne {u v : V} (hconn : G.Connected) (hne : u ≠ v) : 0 < G.dist u v := Nat.pos_of_ne_zero (by intro h; exact False.elim (hne (hconn.dist_eq_zero_iff.mp h))) #align simple_graph.connected.pos_dist_of_ne SimpleGraph.Connected.pos_dist_of_ne theorem dist_eq_zero_of_not_reachable {u v : V} (h : ¬G.Reachable u v) : G.dist u v = 0 := by simp [h] #align simple_graph.dist_eq_zero_of_not_reachable SimpleGraph.dist_eq_zero_of_not_reachable theorem nonempty_of_pos_dist {u v : V} (h : 0 < G.dist u v) : (Set.univ : Set (G.Walk u v)).Nonempty := by simpa [Set.range_nonempty_iff_nonempty, Set.nonempty_iff_univ_nonempty] using Nat.nonempty_of_pos_sInf h #align simple_graph.nonempty_of_pos_dist SimpleGraph.nonempty_of_pos_dist protected theorem Connected.dist_triangle (hconn : G.Connected) {u v w : V} : G.dist u w ≤ G.dist u v + G.dist v w := by obtain ⟨p, hp⟩ := hconn.exists_walk_of_dist u v obtain ⟨q, hq⟩ := hconn.exists_walk_of_dist v w rw [← hp, ← hq, ← Walk.length_append] apply dist_le #align simple_graph.connected.dist_triangle SimpleGraph.Connected.dist_triangle private theorem dist_comm_aux {u v : V} (h : G.Reachable u v) : G.dist u v ≤ G.dist v u := by obtain ⟨p, hp⟩ := h.symm.exists_walk_of_dist rw [← hp, ← Walk.length_reverse] apply dist_le theorem dist_comm {u v : V} : G.dist u v = G.dist v u := by by_cases h : G.Reachable u v · apply le_antisymm (dist_comm_aux h) (dist_comm_aux h.symm) · have h' : ¬G.Reachable v u := fun h' => absurd h'.symm h simp [h, h', dist_eq_zero_of_not_reachable] #align simple_graph.dist_comm SimpleGraph.dist_comm lemma dist_ne_zero_iff_ne_and_reachable {u v : V} : G.dist u v ≠ 0 ↔ u ≠ v ∧ G.Reachable u v := by rw [ne_eq, dist_eq_zero_iff_eq_or_not_reachable.not] push_neg; rfl lemma Reachable.of_dist_ne_zero {u v : V} (h : G.dist u v ≠ 0) : G.Reachable u v := (dist_ne_zero_iff_ne_and_reachable.mp h).2 lemma exists_walk_of_dist_ne_zero {u v : V} (h : G.dist u v ≠ 0) : ∃ p : G.Walk u v, p.length = G.dist u v := (Reachable.of_dist_ne_zero h).exists_walk_of_dist theorem dist_eq_one_iff_adj {u v : V} : G.dist u v = 1 ↔ G.Adj u v := by refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · let ⟨w, hw⟩ := exists_walk_of_dist_ne_zero <| ne_zero_of_eq_one h exact w.adj_of_length_eq_one <| h ▸ hw · have : h.toWalk.length = 1 := Walk.length_cons _ _ exact ge_antisymm (h.reachable.pos_dist_of_ne h.ne) (this ▸ dist_le _)
Mathlib/Combinatorics/SimpleGraph/Metric.lean
144
153
theorem Walk.isPath_of_length_eq_dist {u v : V} (p : G.Walk u v) (hp : p.length = G.dist u v) : p.IsPath := by
classical have : p.bypass = p := by apply Walk.bypass_eq_self_of_length_le calc p.length _ = G.dist u v := hp _ ≤ p.bypass.length := dist_le p.bypass rw [← this] apply Walk.bypass_isPath
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Pi.Basic import Mathlib.Order.Fin import Mathlib.Order.PiLex import Mathlib.Order.Interval.Set.Basic #align_import data.fin.tuple.basic from "leanprover-community/mathlib"@"ef997baa41b5c428be3fb50089a7139bf4ee886b" assert_not_exists MonoidWithZero universe u v namespace Fin variable {m n : ℕ} open Function section Tuple example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g := finZeroElim #align fin.tuple0_le Fin.tuple0_le variable {α : Fin (n + 1) → Type u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n) (y : α i.succ) (z : α 0) def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ #align fin.tail Fin.tail theorem tail_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} : (tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ := rfl #align fin.tail_def Fin.tail_def def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j #align fin.cons Fin.cons @[simp] theorem tail_cons : tail (cons x p) = p := by simp (config := { unfoldPartialApp := true }) [tail, cons] #align fin.tail_cons Fin.tail_cons @[simp] theorem cons_succ : cons x p i.succ = p i := by simp [cons] #align fin.cons_succ Fin.cons_succ @[simp] theorem cons_zero : cons x p 0 = x := by simp [cons] #align fin.cons_zero Fin.cons_zero @[simp] theorem cons_one {α : Fin (n + 2) → Type*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) : cons x p 1 = p 0 := by rw [← cons_succ x p]; rfl @[simp] theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by ext j by_cases h : j = 0 · rw [h] simp [Ne.symm (succ_ne_zero i)] · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ] by_cases h' : j' = i · rw [h'] simp · have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj] rw [update_noteq h', update_noteq this, cons_succ] #align fin.cons_update Fin.cons_update theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦ ⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩ #align fin.cons_injective2 Fin.cons_injective2 @[simp] theorem cons_eq_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} : cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y := cons_injective2.eq_iff #align fin.cons_eq_cons Fin.cons_eq_cons theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x := cons_injective2.left _ #align fin.cons_left_injective Fin.cons_left_injective theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) := cons_injective2.right _ #align fin.cons_right_injective Fin.cons_right_injective theorem update_cons_zero : update (cons x p) 0 z = cons z p := by ext j by_cases h : j = 0 · rw [h] simp · simp only [h, update_noteq, Ne, not_false_iff] let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ, cons_succ] #align fin.update_cons_zero Fin.update_cons_zero @[simp, nolint simpNF] -- Porting note: linter claims LHS doesn't simplify theorem cons_self_tail : cons (q 0) (tail q) = q := by ext j by_cases h : j = 0 · rw [h] simp · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this] unfold tail rw [cons_succ] #align fin.cons_self_tail Fin.cons_self_tail -- Porting note: Mathport removes `_root_`? @[elab_as_elim] def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x : ∀ i : Fin n.succ, α i) : P x := _root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x) #align fin.cons_cases Fin.consCases @[simp] theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by rw [consCases, cast_eq] congr #align fin.cons_cases_cons Fin.consCases_cons @[elab_as_elim] def consInduction {α : Type*} {P : ∀ {n : ℕ}, (Fin n → α) → Sort v} (h0 : P Fin.elim0) (h : ∀ {n} (x₀) (x : Fin n → α), P x → P (Fin.cons x₀ x)) : ∀ {n : ℕ} (x : Fin n → α), P x | 0, x => by convert h0 | n + 1, x => consCases (fun x₀ x ↦ h _ _ <| consInduction h0 h _) x #align fin.cons_induction Fin.consInductionₓ -- Porting note: universes theorem cons_injective_of_injective {α} {x₀ : α} {x : Fin n → α} (hx₀ : x₀ ∉ Set.range x) (hx : Function.Injective x) : Function.Injective (cons x₀ x : Fin n.succ → α) := by refine Fin.cases ?_ ?_ · refine Fin.cases ?_ ?_ · intro rfl · intro j h rw [cons_zero, cons_succ] at h exact hx₀.elim ⟨_, h.symm⟩ · intro i refine Fin.cases ?_ ?_ · intro h rw [cons_zero, cons_succ] at h exact hx₀.elim ⟨_, h⟩ · intro j h rw [cons_succ, cons_succ] at h exact congr_arg _ (hx h) #align fin.cons_injective_of_injective Fin.cons_injective_of_injective theorem cons_injective_iff {α} {x₀ : α} {x : Fin n → α} : Function.Injective (cons x₀ x : Fin n.succ → α) ↔ x₀ ∉ Set.range x ∧ Function.Injective x := by refine ⟨fun h ↦ ⟨?_, ?_⟩, fun h ↦ cons_injective_of_injective h.1 h.2⟩ · rintro ⟨i, hi⟩ replace h := @h i.succ 0 simp [hi, succ_ne_zero] at h · simpa [Function.comp] using h.comp (Fin.succ_injective _) #align fin.cons_injective_iff Fin.cons_injective_iff @[simp] theorem forall_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ P finZeroElim := ⟨fun h ↦ h _, fun h x ↦ Subsingleton.elim finZeroElim x ▸ h⟩ #align fin.forall_fin_zero_pi Fin.forall_fin_zero_pi @[simp] theorem exists_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ P finZeroElim := ⟨fun ⟨x, h⟩ ↦ Subsingleton.elim x finZeroElim ▸ h, fun h ↦ ⟨_, h⟩⟩ #align fin.exists_fin_zero_pi Fin.exists_fin_zero_pi theorem forall_fin_succ_pi {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ ∀ a v, P (Fin.cons a v) := ⟨fun h a v ↦ h (Fin.cons a v), consCases⟩ #align fin.forall_fin_succ_pi Fin.forall_fin_succ_pi theorem exists_fin_succ_pi {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ ∃ a v, P (Fin.cons a v) := ⟨fun ⟨x, h⟩ ↦ ⟨x 0, tail x, (cons_self_tail x).symm ▸ h⟩, fun ⟨_, _, h⟩ ↦ ⟨_, h⟩⟩ #align fin.exists_fin_succ_pi Fin.exists_fin_succ_pi @[simp] theorem tail_update_zero : tail (update q 0 z) = tail q := by ext j simp [tail, Fin.succ_ne_zero] #align fin.tail_update_zero Fin.tail_update_zero @[simp] theorem tail_update_succ : tail (update q i.succ y) = update (tail q) i y := by ext j by_cases h : j = i · rw [h] simp [tail] · simp [tail, (Fin.succ_injective n).ne h, h] #align fin.tail_update_succ Fin.tail_update_succ theorem comp_cons {α : Type*} {β : Type*} (g : α → β) (y : α) (q : Fin n → α) : g ∘ cons y q = cons (g y) (g ∘ q) := by ext j by_cases h : j = 0 · rw [h] rfl · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ, comp_apply, comp_apply, cons_succ] #align fin.comp_cons Fin.comp_cons theorem comp_tail {α : Type*} {β : Type*} (g : α → β) (q : Fin n.succ → α) : g ∘ tail q = tail (g ∘ q) := by ext j simp [tail] #align fin.comp_tail Fin.comp_tail theorem le_cons [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} : q ≤ cons x p ↔ q 0 ≤ x ∧ tail q ≤ p := forall_fin_succ.trans <| and_congr Iff.rfl <| forall_congr' fun j ↦ by simp [tail] #align fin.le_cons Fin.le_cons theorem cons_le [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} : cons x p ≤ q ↔ x ≤ q 0 ∧ p ≤ tail q := @le_cons _ (fun i ↦ (α i)ᵒᵈ) _ x q p #align fin.cons_le Fin.cons_le theorem cons_le_cons [∀ i, Preorder (α i)] {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} : cons x₀ x ≤ cons y₀ y ↔ x₀ ≤ y₀ ∧ x ≤ y := forall_fin_succ.trans <| and_congr_right' <| by simp only [cons_succ, Pi.le_def] #align fin.cons_le_cons Fin.cons_le_cons theorem pi_lex_lt_cons_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} (s : ∀ {i : Fin n.succ}, α i → α i → Prop) : Pi.Lex (· < ·) (@s) (Fin.cons x₀ x) (Fin.cons y₀ y) ↔ s x₀ y₀ ∨ x₀ = y₀ ∧ Pi.Lex (· < ·) (@fun i : Fin n ↦ @s i.succ) x y := by simp_rw [Pi.Lex, Fin.exists_fin_succ, Fin.cons_succ, Fin.cons_zero, Fin.forall_fin_succ] simp [and_assoc, exists_and_left] #align fin.pi_lex_lt_cons_cons Fin.pi_lex_lt_cons_cons theorem range_fin_succ {α} (f : Fin (n + 1) → α) : Set.range f = insert (f 0) (Set.range (Fin.tail f)) := Set.ext fun _ ↦ exists_fin_succ.trans <| eq_comm.or Iff.rfl #align fin.range_fin_succ Fin.range_fin_succ @[simp] theorem range_cons {α : Type*} {n : ℕ} (x : α) (b : Fin n → α) : Set.range (Fin.cons x b : Fin n.succ → α) = insert x (Set.range b) := by rw [range_fin_succ, cons_zero, tail_cons] #align fin.range_cons Fin.range_cons section TupleRight -- Porting note: `i.castSucc` does not work like it did in Lean 3; -- `(castSucc i)` must be used. variable {α : Fin (n + 1) → Type u} (x : α (last n)) (q : ∀ i, α i) (p : ∀ i : Fin n, α (castSucc i)) (i : Fin n) (y : α (castSucc i)) (z : α (last n)) def init (q : ∀ i, α i) (i : Fin n) : α (castSucc i) := q (castSucc i) #align fin.init Fin.init theorem init_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} : (init fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q (castSucc k) := rfl #align fin.init_def Fin.init_def def snoc (p : ∀ i : Fin n, α (castSucc i)) (x : α (last n)) (i : Fin (n + 1)) : α i := if h : i.val < n then _root_.cast (by rw [Fin.castSucc_castLT i h]) (p (castLT i h)) else _root_.cast (by rw [eq_last_of_not_lt h]) x #align fin.snoc Fin.snoc @[simp] theorem init_snoc : init (snoc p x) = p := by ext i simp only [init, snoc, coe_castSucc, is_lt, cast_eq, dite_true] convert cast_eq rfl (p i) #align fin.init_snoc Fin.init_snoc @[simp] theorem snoc_castSucc : snoc p x (castSucc i) = p i := by simp only [snoc, coe_castSucc, is_lt, cast_eq, dite_true] convert cast_eq rfl (p i) #align fin.snoc_cast_succ Fin.snoc_castSucc @[simp] theorem snoc_comp_castSucc {n : ℕ} {α : Sort _} {a : α} {f : Fin n → α} : (snoc f a : Fin (n + 1) → α) ∘ castSucc = f := funext fun i ↦ by rw [Function.comp_apply, snoc_castSucc] #align fin.snoc_comp_cast_succ Fin.snoc_comp_castSucc @[simp] theorem snoc_last : snoc p x (last n) = x := by simp [snoc] #align fin.snoc_last Fin.snoc_last lemma snoc_zero {α : Type*} (p : Fin 0 → α) (x : α) : Fin.snoc p x = fun _ ↦ x := by ext y have : Subsingleton (Fin (0 + 1)) := Fin.subsingleton_one simp only [Subsingleton.elim y (Fin.last 0), snoc_last] @[simp] theorem snoc_comp_nat_add {n m : ℕ} {α : Sort _} (f : Fin (m + n) → α) (a : α) : (snoc f a : Fin _ → α) ∘ (natAdd m : Fin (n + 1) → Fin (m + n + 1)) = snoc (f ∘ natAdd m) a := by ext i refine Fin.lastCases ?_ (fun i ↦ ?_) i · simp only [Function.comp_apply] rw [snoc_last, natAdd_last, snoc_last] · simp only [comp_apply, snoc_castSucc] rw [natAdd_castSucc, snoc_castSucc] #align fin.snoc_comp_nat_add Fin.snoc_comp_nat_add @[simp] theorem snoc_cast_add {α : Fin (n + m + 1) → Type*} (f : ∀ i : Fin (n + m), α (castSucc i)) (a : α (last (n + m))) (i : Fin n) : (snoc f a) (castAdd (m + 1) i) = f (castAdd m i) := dif_pos _ #align fin.snoc_cast_add Fin.snoc_cast_add -- Porting note: Had to `unfold comp` @[simp] theorem snoc_comp_cast_add {n m : ℕ} {α : Sort _} (f : Fin (n + m) → α) (a : α) : (snoc f a : Fin _ → α) ∘ castAdd (m + 1) = f ∘ castAdd m := funext (by unfold comp; exact snoc_cast_add _ _) #align fin.snoc_comp_cast_add Fin.snoc_comp_cast_add @[simp] theorem snoc_update : snoc (update p i y) x = update (snoc p x) (castSucc i) y := by ext j by_cases h : j.val < n · rw [snoc] simp only [h] simp only [dif_pos] by_cases h' : j = castSucc i · have C1 : α (castSucc i) = α j := by rw [h'] have E1 : update (snoc p x) (castSucc i) y j = _root_.cast C1 y := by have : update (snoc p x) j (_root_.cast C1 y) j = _root_.cast C1 y := by simp convert this · exact h'.symm · exact heq_of_cast_eq (congr_arg α (Eq.symm h')) rfl have C2 : α (castSucc i) = α (castSucc (castLT j h)) := by rw [castSucc_castLT, h'] have E2 : update p i y (castLT j h) = _root_.cast C2 y := by have : update p (castLT j h) (_root_.cast C2 y) (castLT j h) = _root_.cast C2 y := by simp convert this · simp [h, h'] · exact heq_of_cast_eq C2 rfl rw [E1, E2] exact eq_rec_compose (Eq.trans C2.symm C1) C2 y · have : ¬castLT j h = i := by intro E apply h' rw [← E, castSucc_castLT] simp [h', this, snoc, h] · rw [eq_last_of_not_lt h] simp [Ne.symm (ne_of_lt (castSucc_lt_last i))] #align fin.snoc_update Fin.snoc_update theorem update_snoc_last : update (snoc p x) (last n) z = snoc p z := by ext j by_cases h : j.val < n · have : j ≠ last n := ne_of_lt h simp [h, update_noteq, this, snoc] · rw [eq_last_of_not_lt h] simp #align fin.update_snoc_last Fin.update_snoc_last @[simp] theorem snoc_init_self : snoc (init q) (q (last n)) = q := by ext j by_cases h : j.val < n · simp only [init, snoc, h, cast_eq, dite_true, castSucc_castLT] · rw [eq_last_of_not_lt h] simp #align fin.snoc_init_self Fin.snoc_init_self @[simp] theorem init_update_last : init (update q (last n) z) = init q := by ext j simp [init, ne_of_lt, castSucc_lt_last] #align fin.init_update_last Fin.init_update_last @[simp] theorem init_update_castSucc : init (update q (castSucc i) y) = update (init q) i y := by ext j by_cases h : j = i · rw [h] simp [init] · simp [init, h, castSucc_inj] #align fin.init_update_cast_succ Fin.init_update_castSucc theorem tail_init_eq_init_tail {β : Type*} (q : Fin (n + 2) → β) : tail (init q) = init (tail q) := by ext i simp [tail, init, castSucc_fin_succ] #align fin.tail_init_eq_init_tail Fin.tail_init_eq_init_tail theorem cons_snoc_eq_snoc_cons {β : Type*} (a : β) (q : Fin n → β) (b : β) : @cons n.succ (fun _ ↦ β) a (snoc q b) = snoc (cons a q) b := by ext i by_cases h : i = 0 · rw [h] -- Porting note: `refl` finished it here in Lean 3, but I had to add more. simp [snoc, castLT] set j := pred i h with ji have : i = j.succ := by rw [ji, succ_pred] rw [this, cons_succ] by_cases h' : j.val < n · set k := castLT j h' with jk have : j = castSucc k := by rw [jk, castSucc_castLT] rw [this, ← castSucc_fin_succ, snoc] simp [pred, snoc, cons] rw [eq_last_of_not_lt h', succ_last] simp #align fin.cons_snoc_eq_snoc_cons Fin.cons_snoc_eq_snoc_cons
Mathlib/Data/Fin/Tuple/Basic.lean
645
651
theorem comp_snoc {α : Type*} {β : Type*} (g : α → β) (q : Fin n → α) (y : α) : g ∘ snoc q y = snoc (g ∘ q) (g y) := by
ext j by_cases h : j.val < n · simp [h, snoc, castSucc_castLT] · rw [eq_last_of_not_lt h] simp
import Mathlib.Data.Set.Lattice #align_import data.semiquot from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f" -- Porting note: removed universe parameter structure Semiquot (α : Type*) where mk' :: s : Set α val : Trunc s #align semiquot Semiquot namespace Semiquot variable {α : Type*} {β : Type*} instance : Membership α (Semiquot α) := ⟨fun a q => a ∈ q.s⟩ def mk {a : α} {s : Set α} (h : a ∈ s) : Semiquot α := ⟨s, Trunc.mk ⟨a, h⟩⟩ #align semiquot.mk Semiquot.mk theorem ext_s {q₁ q₂ : Semiquot α} : q₁ = q₂ ↔ q₁.s = q₂.s := by refine ⟨congr_arg _, fun h => ?_⟩ cases' q₁ with _ v₁; cases' q₂ with _ v₂; congr exact Subsingleton.helim (congrArg Trunc (congrArg Set.Elem h)) v₁ v₂ #align semiquot.ext_s Semiquot.ext_s theorem ext {q₁ q₂ : Semiquot α} : q₁ = q₂ ↔ ∀ a, a ∈ q₁ ↔ a ∈ q₂ := ext_s.trans Set.ext_iff #align semiquot.ext Semiquot.ext theorem exists_mem (q : Semiquot α) : ∃ a, a ∈ q := let ⟨⟨a, h⟩, _⟩ := q.2.exists_rep ⟨a, h⟩ #align semiquot.exists_mem Semiquot.exists_mem theorem eq_mk_of_mem {q : Semiquot α} {a : α} (h : a ∈ q) : q = @mk _ a q.1 h := ext_s.2 rfl #align semiquot.eq_mk_of_mem Semiquot.eq_mk_of_mem theorem nonempty (q : Semiquot α) : q.s.Nonempty := q.exists_mem #align semiquot.nonempty Semiquot.nonempty protected def pure (a : α) : Semiquot α := mk (Set.mem_singleton a) #align semiquot.pure Semiquot.pure @[simp] theorem mem_pure' {a b : α} : a ∈ Semiquot.pure b ↔ a = b := Set.mem_singleton_iff #align semiquot.mem_pure' Semiquot.mem_pure' def blur' (q : Semiquot α) {s : Set α} (h : q.s ⊆ s) : Semiquot α := ⟨s, Trunc.lift (fun a : q.s => Trunc.mk ⟨a.1, h a.2⟩) (fun _ _ => Trunc.eq _ _) q.2⟩ #align semiquot.blur' Semiquot.blur' def blur (s : Set α) (q : Semiquot α) : Semiquot α := blur' q (s.subset_union_right (t := q.s)) #align semiquot.blur Semiquot.blur theorem blur_eq_blur' (q : Semiquot α) (s : Set α) (h : q.s ⊆ s) : blur s q = blur' q h := by unfold blur; congr; exact Set.union_eq_self_of_subset_right h #align semiquot.blur_eq_blur' Semiquot.blur_eq_blur' @[simp] theorem mem_blur' (q : Semiquot α) {s : Set α} (h : q.s ⊆ s) {a : α} : a ∈ blur' q h ↔ a ∈ s := Iff.rfl #align semiquot.mem_blur' Semiquot.mem_blur' def ofTrunc (q : Trunc α) : Semiquot α := ⟨Set.univ, q.map fun a => ⟨a, trivial⟩⟩ #align semiquot.of_trunc Semiquot.ofTrunc def toTrunc (q : Semiquot α) : Trunc α := q.2.map Subtype.val #align semiquot.to_trunc Semiquot.toTrunc def liftOn (q : Semiquot α) (f : α → β) (h : ∀ a ∈ q, ∀ b ∈ q, f a = f b) : β := Trunc.liftOn q.2 (fun x => f x.1) fun x y => h _ x.2 _ y.2 #align semiquot.lift_on Semiquot.liftOn
Mathlib/Data/Semiquot.lean
115
117
theorem liftOn_ofMem (q : Semiquot α) (f : α → β) (h : ∀ a ∈ q, ∀ b ∈ q, f a = f b) (a : α) (aq : a ∈ q) : liftOn q f h = f a := by
revert h; rw [eq_mk_of_mem aq]; intro; rfl
import Mathlib.Algebra.Order.Group.Indicator import Mathlib.Analysis.Normed.Group.Basic #align_import analysis.normed_space.indicator_function from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" variable {α E : Type*} [SeminormedAddCommGroup E] {s t : Set α} (f : α → E) (a : α) open Set theorem norm_indicator_eq_indicator_norm : ‖indicator s f a‖ = indicator s (fun a => ‖f a‖) a := flip congr_fun a (indicator_comp_of_zero norm_zero).symm #align norm_indicator_eq_indicator_norm norm_indicator_eq_indicator_norm theorem nnnorm_indicator_eq_indicator_nnnorm : ‖indicator s f a‖₊ = indicator s (fun a => ‖f a‖₊) a := flip congr_fun a (indicator_comp_of_zero nnnorm_zero).symm #align nnnorm_indicator_eq_indicator_nnnorm nnnorm_indicator_eq_indicator_nnnorm
Mathlib/Analysis/NormedSpace/IndicatorFunction.lean
34
37
theorem norm_indicator_le_of_subset (h : s ⊆ t) (f : α → E) (a : α) : ‖indicator s f a‖ ≤ ‖indicator t f a‖ := by
simp only [norm_indicator_eq_indicator_norm] exact indicator_le_indicator_of_subset ‹_› (fun _ => norm_nonneg _) _
import Mathlib.Data.List.Nodup import Mathlib.Data.List.Zip import Mathlib.Data.Nat.Defs import Mathlib.Data.List.Infix #align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u variable {α : Type u} open Nat Function namespace List theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate] #align list.rotate_mod List.rotate_mod @[simp] theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate] #align list.rotate_nil List.rotate_nil @[simp] theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate] #align list.rotate_zero List.rotate_zero -- Porting note: removing simp, simp can prove it theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl #align list.rotate'_nil List.rotate'_nil @[simp] theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl #align list.rotate'_zero List.rotate'_zero theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) : (a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate'] #align list.rotate'_cons_succ List.rotate'_cons_succ @[simp] theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length | [], _ => by simp | a :: l, 0 => rfl | a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp #align list.length_rotate' List.length_rotate' theorem rotate'_eq_drop_append_take : ∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n | [], n, h => by simp [drop_append_of_le_length h] | l, 0, h => by simp [take_append_of_le_length h] | a :: l, n + 1, h => by have hnl : n ≤ l.length := le_of_succ_le_succ h have hnl' : n ≤ (l ++ [a]).length := by rw [length_append, length_cons, List.length]; exact le_of_succ_le h rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take, drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp #align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m) | a :: l, 0, m => by simp | [], n, m => by simp | a :: l, n + 1, m => by rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ, Nat.succ_eq_add_one] #align list.rotate'_rotate' List.rotate'_rotate' @[simp] theorem rotate'_length (l : List α) : rotate' l l.length = l := by rw [rotate'_eq_drop_append_take le_rfl]; simp #align list.rotate'_length List.rotate'_length @[simp] theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l | 0 => by simp | n + 1 => calc l.rotate' (l.length * (n + 1)) = (l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by simp [-rotate'_length, Nat.mul_succ, rotate'_rotate'] _ = l := by rw [rotate'_length, rotate'_length_mul l n] #align list.rotate'_length_mul List.rotate'_length_mul theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n := calc l.rotate' (n % l.length) = (l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) := by rw [rotate'_length_mul] _ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div] #align list.rotate'_mod List.rotate'_mod theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n := if h : l.length = 0 then by simp_all [length_eq_zero] else by rw [← rotate'_mod, rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))]; simp [rotate] #align list.rotate_eq_rotate' List.rotate_eq_rotate' theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) : (a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ] #align list.rotate_cons_succ List.rotate_cons_succ @[simp] theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l | [], _, n => by simp | a :: l, _, 0 => by simp | a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm] #align list.mem_rotate List.mem_rotate @[simp] theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by rw [rotate_eq_rotate', length_rotate'] #align list.length_rotate List.length_rotate @[simp] theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a := eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb => eq_of_mem_replicate <| mem_rotate.1 hb⟩ #align list.rotate_replicate List.rotate_replicate theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} : n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take #align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} : l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by rcases l.length.zero_le.eq_or_lt with hl | hl · simp [eq_nil_of_length_eq_zero hl.symm] rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod] #align list.rotate_eq_drop_append_take_mod List.rotate_eq_drop_append_take_mod @[simp] theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by rw [rotate_eq_rotate'] induction l generalizing l' · simp · simp_all [rotate'] #align list.rotate_append_length_eq List.rotate_append_length_eq theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate'] #align list.rotate_rotate List.rotate_rotate @[simp] theorem rotate_length (l : List α) : rotate l l.length = l := by rw [rotate_eq_rotate', rotate'_length] #align list.rotate_length List.rotate_length @[simp] theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by rw [rotate_eq_rotate', rotate'_length_mul] #align list.rotate_length_mul List.rotate_length_mul theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by rw [rotate_eq_rotate'] induction' n with n hn generalizing l · simp · cases' l with hd tl · simp · rw [rotate'_cons_succ] exact (hn _).trans (perm_append_singleton _ _) #align list.rotate_perm List.rotate_perm @[simp] theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l := (rotate_perm l n).nodup_iff #align list.nodup_rotate List.nodup_rotate @[simp] theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by induction' n with n hn generalizing l · simp · cases' l with hd tl · simp · simp [rotate_cons_succ, hn] #align list.rotate_eq_nil_iff List.rotate_eq_nil_iff @[simp] theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by rw [eq_comm, rotate_eq_nil_iff, eq_comm] #align list.nil_eq_rotate_iff List.nil_eq_rotate_iff @[simp] theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] := rotate_replicate x 1 n #align list.rotate_singleton List.rotate_singleton theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ) (h : l.length = l'.length) : (zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod, h, zipWith_append, ← zipWith_distrib_drop, ← zipWith_distrib_take, List.length_zipWith, h, min_self] rw [length_drop, length_drop, h] #align list.zip_with_rotate_distrib List.zipWith_rotate_distrib attribute [local simp] rotate_cons_succ -- Porting note: removing @[simp], simp can prove it theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) : zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by simp #align list.zip_with_rotate_one List.zipWith_rotate_one theorem get?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) : (l.rotate n).get? m = l.get? ((m + n) % l.length) := by rw [rotate_eq_drop_append_take_mod] rcases lt_or_le m (l.drop (n % l.length)).length with hm | hm · rw [get?_append hm, get?_drop, ← add_mod_mod] rw [length_drop, Nat.lt_sub_iff_add_lt] at hm rw [mod_eq_of_lt hm, Nat.add_comm] · have hlt : n % length l < length l := mod_lt _ (m.zero_le.trans_lt hml) rw [get?_append_right hm, get?_take, length_drop] · congr 1 rw [length_drop] at hm have hm' := Nat.sub_le_iff_le_add'.1 hm have : n % length l + m - length l < length l := by rw [Nat.sub_lt_iff_lt_add' hm'] exact Nat.add_lt_add hlt hml conv_rhs => rw [Nat.add_comm m, ← mod_add_mod, mod_eq_sub_mod hm', mod_eq_of_lt this] rw [← Nat.add_right_inj, ← Nat.add_sub_assoc, Nat.add_sub_sub_cancel, Nat.add_sub_cancel', Nat.add_comm] exacts [hm', hlt.le, hm] · rwa [Nat.sub_lt_iff_lt_add hm, length_drop, Nat.sub_add_cancel hlt.le] #align list.nth_rotate List.get?_rotate -- Porting note (#10756): new lemma theorem get_rotate (l : List α) (n : ℕ) (k : Fin (l.rotate n).length) : (l.rotate n).get k = l.get ⟨(k + n) % l.length, mod_lt _ (length_rotate l n ▸ k.1.zero_le.trans_lt k.2)⟩ := by rw [← Option.some_inj, ← get?_eq_get, ← get?_eq_get, get?_rotate] exact k.2.trans_eq (length_rotate _ _) theorem head?_rotate {l : List α} {n : ℕ} (h : n < l.length) : head? (l.rotate n) = l.get? n := by rw [← get?_zero, get?_rotate (n.zero_le.trans_lt h), Nat.zero_add, Nat.mod_eq_of_lt h] #align list.head'_rotate List.head?_rotate -- Porting note: moved down from its original location below `get_rotate` so that the -- non-deprecated lemma does not use the deprecated version set_option linter.deprecated false in @[deprecated get_rotate (since := "2023-01-13")] theorem nthLe_rotate (l : List α) (n k : ℕ) (hk : k < (l.rotate n).length) : (l.rotate n).nthLe k hk = l.nthLe ((k + n) % l.length) (mod_lt _ (length_rotate l n ▸ k.zero_le.trans_lt hk)) := get_rotate l n ⟨k, hk⟩ #align list.nth_le_rotate List.nthLe_rotate set_option linter.deprecated false in theorem nthLe_rotate_one (l : List α) (k : ℕ) (hk : k < (l.rotate 1).length) : (l.rotate 1).nthLe k hk = l.nthLe ((k + 1) % l.length) (mod_lt _ (length_rotate l 1 ▸ k.zero_le.trans_lt hk)) := nthLe_rotate l 1 k hk #align list.nth_le_rotate_one List.nthLe_rotate_one -- Porting note (#10756): new lemma theorem get_eq_get_rotate (l : List α) (n : ℕ) (k : Fin l.length) : l.get k = (l.rotate n).get ⟨(l.length - n % l.length + k) % l.length, (Nat.mod_lt _ (k.1.zero_le.trans_lt k.2)).trans_eq (length_rotate _ _).symm⟩ := by rw [get_rotate] refine congr_arg l.get (Fin.eq_of_val_eq ?_) simp only [mod_add_mod] rw [← add_mod_mod, Nat.add_right_comm, Nat.sub_add_cancel, add_mod_left, mod_eq_of_lt] exacts [k.2, (mod_lt _ (k.1.zero_le.trans_lt k.2)).le] set_option linter.deprecated false in @[deprecated get_eq_get_rotate] theorem nthLe_rotate' (l : List α) (n k : ℕ) (hk : k < l.length) : (l.rotate n).nthLe ((l.length - n % l.length + k) % l.length) ((Nat.mod_lt _ (k.zero_le.trans_lt hk)).trans_le (length_rotate _ _).ge) = l.nthLe k hk := (get_eq_get_rotate l n ⟨k, hk⟩).symm #align list.nth_le_rotate' List.nthLe_rotate' theorem rotate_eq_self_iff_eq_replicate [hα : Nonempty α] : ∀ {l : List α}, (∀ n, l.rotate n = l) ↔ ∃ a, l = replicate l.length a | [] => by simp | a :: l => ⟨fun h => ⟨a, ext_get (length_replicate _ _).symm fun n h₁ h₂ => by rw [get_replicate, ← Option.some_inj, ← get?_eq_get, ← head?_rotate h₁, h, head?_cons]⟩, fun ⟨b, hb⟩ n => by rw [hb, rotate_replicate]⟩ #align list.rotate_eq_self_iff_eq_replicate List.rotate_eq_self_iff_eq_replicate theorem rotate_one_eq_self_iff_eq_replicate [Nonempty α] {l : List α} : l.rotate 1 = l ↔ ∃ a : α, l = List.replicate l.length a := ⟨fun h => rotate_eq_self_iff_eq_replicate.mp fun n => Nat.rec l.rotate_zero (fun n hn => by rwa [Nat.succ_eq_add_one, ← l.rotate_rotate, hn]) n, fun h => rotate_eq_self_iff_eq_replicate.mpr h 1⟩ #align list.rotate_one_eq_self_iff_eq_replicate List.rotate_one_eq_self_iff_eq_replicate theorem rotate_injective (n : ℕ) : Function.Injective fun l : List α => l.rotate n := by rintro l l' (h : l.rotate n = l'.rotate n) have hle : l.length = l'.length := (l.length_rotate n).symm.trans (h.symm ▸ l'.length_rotate n) rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod] at h obtain ⟨hd, ht⟩ := append_inj h (by simp_all) rw [← take_append_drop _ l, ht, hd, take_append_drop] #align list.rotate_injective List.rotate_injective @[simp] theorem rotate_eq_rotate {l l' : List α} {n : ℕ} : l.rotate n = l'.rotate n ↔ l = l' := (rotate_injective n).eq_iff #align list.rotate_eq_rotate List.rotate_eq_rotate theorem rotate_eq_iff {l l' : List α} {n : ℕ} : l.rotate n = l' ↔ l = l'.rotate (l'.length - n % l'.length) := by rw [← @rotate_eq_rotate _ l _ n, rotate_rotate, ← rotate_mod l', add_mod] rcases l'.length.zero_le.eq_or_lt with hl | hl · rw [eq_nil_of_length_eq_zero hl.symm, rotate_nil] · rcases (Nat.zero_le (n % l'.length)).eq_or_lt with hn | hn · simp [← hn] · rw [mod_eq_of_lt (Nat.sub_lt hl hn), Nat.sub_add_cancel, mod_self, rotate_zero] exact (Nat.mod_lt _ hl).le #align list.rotate_eq_iff List.rotate_eq_iff @[simp] theorem rotate_eq_singleton_iff {l : List α} {n : ℕ} {x : α} : l.rotate n = [x] ↔ l = [x] := by rw [rotate_eq_iff, rotate_singleton] #align list.rotate_eq_singleton_iff List.rotate_eq_singleton_iff @[simp] theorem singleton_eq_rotate_iff {l : List α} {n : ℕ} {x : α} : [x] = l.rotate n ↔ [x] = l := by rw [eq_comm, rotate_eq_singleton_iff, eq_comm] #align list.singleton_eq_rotate_iff List.singleton_eq_rotate_iff theorem reverse_rotate (l : List α) (n : ℕ) : (l.rotate n).reverse = l.reverse.rotate (l.length - n % l.length) := by rw [← length_reverse l, ← rotate_eq_iff] induction' n with n hn generalizing l · simp · cases' l with hd tl · simp · rw [rotate_cons_succ, ← rotate_rotate, hn] simp #align list.reverse_rotate List.reverse_rotate theorem rotate_reverse (l : List α) (n : ℕ) : l.reverse.rotate n = (l.rotate (l.length - n % l.length)).reverse := by rw [← reverse_reverse l] simp_rw [reverse_rotate, reverse_reverse, rotate_eq_iff, rotate_rotate, length_rotate, length_reverse] rw [← length_reverse l] let k := n % l.reverse.length cases' hk' : k with k' · simp_all! [k, length_reverse, ← rotate_rotate] · cases' l with x l · simp · rw [Nat.mod_eq_of_lt, Nat.sub_add_cancel, rotate_length] · exact Nat.sub_le _ _ · exact Nat.sub_lt (by simp) (by simp_all! [k]) #align list.rotate_reverse List.rotate_reverse theorem map_rotate {β : Type*} (f : α → β) (l : List α) (n : ℕ) : map f (l.rotate n) = (map f l).rotate n := by induction' n with n hn IH generalizing l · simp · cases' l with hd tl · simp · simp [hn] #align list.map_rotate List.map_rotate theorem Nodup.rotate_congr {l : List α} (hl : l.Nodup) (hn : l ≠ []) (i j : ℕ) (h : l.rotate i = l.rotate j) : i % l.length = j % l.length := by rw [← rotate_mod l i, ← rotate_mod l j] at h simpa only [head?_rotate, mod_lt, length_pos_of_ne_nil hn, get?_eq_get, Option.some_inj, hl.get_inj_iff, Fin.ext_iff] using congr_arg head? h #align list.nodup.rotate_congr List.Nodup.rotate_congr theorem Nodup.rotate_congr_iff {l : List α} (hl : l.Nodup) {i j : ℕ} : l.rotate i = l.rotate j ↔ i % l.length = j % l.length ∨ l = [] := by rcases eq_or_ne l [] with rfl | hn · simp · simp only [hn, or_false] refine ⟨hl.rotate_congr hn _ _, fun h ↦ ?_⟩ rw [← rotate_mod, h, rotate_mod] theorem Nodup.rotate_eq_self_iff {l : List α} (hl : l.Nodup) {n : ℕ} : l.rotate n = l ↔ n % l.length = 0 ∨ l = [] := by rw [← zero_mod, ← hl.rotate_congr_iff, rotate_zero] #align list.nodup.rotate_eq_self_iff List.Nodup.rotate_eq_self_iff section IsRotated variable (l l' : List α) def IsRotated : Prop := ∃ n, l.rotate n = l' #align list.is_rotated List.IsRotated @[inherit_doc List.IsRotated] infixr:1000 " ~r " => IsRotated variable {l l'} @[refl] theorem IsRotated.refl (l : List α) : l ~r l := ⟨0, by simp⟩ #align list.is_rotated.refl List.IsRotated.refl @[symm]
Mathlib/Data/List/Rotate.lean
427
433
theorem IsRotated.symm (h : l ~r l') : l' ~r l := by
obtain ⟨n, rfl⟩ := h cases' l with hd tl · exists 0 · use (hd :: tl).length * n - n rw [rotate_rotate, Nat.add_sub_cancel', rotate_length_mul] exact Nat.le_mul_of_pos_left _ (by simp)
import Mathlib.SetTheory.Ordinal.Arithmetic import Mathlib.Tactic.TFAE import Mathlib.Topology.Order.Monotone #align_import set_theory.ordinal.topology from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da" noncomputable section universe u v open Cardinal Order Topology namespace Ordinal variable {s : Set Ordinal.{u}} {a : Ordinal.{u}} instance : TopologicalSpace Ordinal.{u} := Preorder.topology Ordinal.{u} instance : OrderTopology Ordinal.{u} := ⟨rfl⟩ theorem isOpen_singleton_iff : IsOpen ({a} : Set Ordinal) ↔ ¬IsLimit a := by refine ⟨fun h ⟨h₀, hsucc⟩ => ?_, fun ha => ?_⟩ · obtain ⟨b, c, hbc, hbc'⟩ := (mem_nhds_iff_exists_Ioo_subset' ⟨0, Ordinal.pos_iff_ne_zero.2 h₀⟩ ⟨_, lt_succ a⟩).1 (h.mem_nhds rfl) have hba := hsucc b hbc.1 exact hba.ne (hbc' ⟨lt_succ b, hba.trans hbc.2⟩) · rcases zero_or_succ_or_limit a with (rfl | ⟨b, rfl⟩ | ha') · rw [← bot_eq_zero, ← Set.Iic_bot, ← Iio_succ] exact isOpen_Iio · rw [← Set.Icc_self, Icc_succ_left, ← Ioo_succ_right] exact isOpen_Ioo · exact (ha ha').elim #align ordinal.is_open_singleton_iff Ordinal.isOpen_singleton_iff -- Porting note (#11215): TODO: generalize to a `SuccOrder` theorem nhds_right' (a : Ordinal) : 𝓝[>] a = ⊥ := (covBy_succ a).nhdsWithin_Ioi -- todo: generalize to a `SuccOrder` theorem nhds_left'_eq_nhds_ne (a : Ordinal) : 𝓝[<] a = 𝓝[≠] a := by rw [← nhds_left'_sup_nhds_right', nhds_right', sup_bot_eq] -- todo: generalize to a `SuccOrder` theorem nhds_left_eq_nhds (a : Ordinal) : 𝓝[≤] a = 𝓝 a := by rw [← nhds_left_sup_nhds_right', nhds_right', sup_bot_eq] -- todo: generalize to a `SuccOrder` theorem nhdsBasis_Ioc (h : a ≠ 0) : (𝓝 a).HasBasis (· < a) (Set.Ioc · a) := nhds_left_eq_nhds a ▸ nhdsWithin_Iic_basis' ⟨0, h.bot_lt⟩ -- todo: generalize to a `SuccOrder` theorem nhds_eq_pure : 𝓝 a = pure a ↔ ¬IsLimit a := (isOpen_singleton_iff_nhds_eq_pure _).symm.trans isOpen_singleton_iff -- todo: generalize `Ordinal.IsLimit` and this lemma to a `SuccOrder` theorem isOpen_iff : IsOpen s ↔ ∀ o ∈ s, IsLimit o → ∃ a < o, Set.Ioo a o ⊆ s := by refine isOpen_iff_mem_nhds.trans <| forall₂_congr fun o ho => ?_ by_cases ho' : IsLimit o · simp only [(nhdsBasis_Ioc ho'.1).mem_iff, ho', true_implies] refine exists_congr fun a => and_congr_right fun ha => ?_ simp only [← Set.Ioo_insert_right ha, Set.insert_subset_iff, ho, true_and] · simp [nhds_eq_pure.2 ho', ho, ho'] #align ordinal.is_open_iff Ordinal.isOpen_iff open List Set in theorem mem_closure_tfae (a : Ordinal.{u}) (s : Set Ordinal) : TFAE [a ∈ closure s, a ∈ closure (s ∩ Iic a), (s ∩ Iic a).Nonempty ∧ sSup (s ∩ Iic a) = a, ∃ t, t ⊆ s ∧ t.Nonempty ∧ BddAbove t ∧ sSup t = a, ∃ (o : Ordinal.{u}), o ≠ 0 ∧ ∃ (f : ∀ x < o, Ordinal), (∀ x hx, f x hx ∈ s) ∧ bsup.{u, u} o f = a, ∃ (ι : Type u), Nonempty ι ∧ ∃ f : ι → Ordinal, (∀ i, f i ∈ s) ∧ sup.{u, u} f = a] := by tfae_have 1 → 2 · simp only [mem_closure_iff_nhdsWithin_neBot, inter_comm s, nhdsWithin_inter', nhds_left_eq_nhds] exact id tfae_have 2 → 3 · intro h rcases (s ∩ Iic a).eq_empty_or_nonempty with he | hne · simp [he] at h · refine ⟨hne, (isLUB_of_mem_closure ?_ h).csSup_eq hne⟩ exact fun x hx => hx.2 tfae_have 3 → 4 · exact fun h => ⟨_, inter_subset_left, h.1, bddAbove_Iic.mono inter_subset_right, h.2⟩ tfae_have 4 → 5 · rintro ⟨t, hts, hne, hbdd, rfl⟩ have hlub : IsLUB t (sSup t) := isLUB_csSup hne hbdd let ⟨y, hyt⟩ := hne classical refine ⟨succ (sSup t), succ_ne_zero _, fun x _ => if x ∈ t then x else y, fun x _ => ?_, ?_⟩ · simp only split_ifs with h <;> exact hts ‹_› · refine le_antisymm (bsup_le fun x _ => ?_) (csSup_le hne fun x hx => ?_) · split_ifs <;> exact hlub.1 ‹_› · refine (if_pos hx).symm.trans_le (le_bsup _ _ <| (hlub.1 hx).trans_lt (lt_succ _)) tfae_have 5 → 6 · rintro ⟨o, h₀, f, hfs, rfl⟩ exact ⟨_, out_nonempty_iff_ne_zero.2 h₀, familyOfBFamily o f, fun _ => hfs _ _, rfl⟩ tfae_have 6 → 1 · rintro ⟨ι, hne, f, hfs, rfl⟩ rw [sup, iSup] exact closure_mono (range_subset_iff.2 hfs) <| csSup_mem_closure (range_nonempty f) (bddAbove_range.{u, u} f) tfae_finish theorem mem_closure_iff_sup : a ∈ closure s ↔ ∃ (ι : Type u) (_ : Nonempty ι) (f : ι → Ordinal), (∀ i, f i ∈ s) ∧ sup.{u, u} f = a := ((mem_closure_tfae a s).out 0 5).trans <| by simp only [exists_prop] #align ordinal.mem_closure_iff_sup Ordinal.mem_closure_iff_sup theorem mem_closed_iff_sup (hs : IsClosed s) : a ∈ s ↔ ∃ (ι : Type u) (_hι : Nonempty ι) (f : ι → Ordinal), (∀ i, f i ∈ s) ∧ sup.{u, u} f = a := by rw [← mem_closure_iff_sup, hs.closure_eq] #align ordinal.mem_closed_iff_sup Ordinal.mem_closed_iff_sup theorem mem_closure_iff_bsup : a ∈ closure s ↔ ∃ (o : Ordinal) (_ho : o ≠ 0) (f : ∀ a < o, Ordinal), (∀ i hi, f i hi ∈ s) ∧ bsup.{u, u} o f = a := ((mem_closure_tfae a s).out 0 4).trans <| by simp only [exists_prop] #align ordinal.mem_closure_iff_bsup Ordinal.mem_closure_iff_bsup
Mathlib/SetTheory/Ordinal/Topology.lean
145
149
theorem mem_closed_iff_bsup (hs : IsClosed s) : a ∈ s ↔ ∃ (o : Ordinal) (_ho : o ≠ 0) (f : ∀ a < o, Ordinal), (∀ i hi, f i hi ∈ s) ∧ bsup.{u, u} o f = a := by
rw [← mem_closure_iff_bsup, hs.closure_eq]
import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Order.Monotone.Basic #align_import data.nat.choose.basic from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4" open Nat namespace Nat def choose : ℕ → ℕ → ℕ | _, 0 => 1 | 0, _ + 1 => 0 | n + 1, k + 1 => choose n k + choose n (k + 1) #align nat.choose Nat.choose @[simp] theorem choose_zero_right (n : ℕ) : choose n 0 = 1 := by cases n <;> rfl #align nat.choose_zero_right Nat.choose_zero_right @[simp] theorem choose_zero_succ (k : ℕ) : choose 0 (succ k) = 0 := rfl #align nat.choose_zero_succ Nat.choose_zero_succ theorem choose_succ_succ (n k : ℕ) : choose (succ n) (succ k) = choose n k + choose n (succ k) := rfl #align nat.choose_succ_succ Nat.choose_succ_succ theorem choose_succ_succ' (n k : ℕ) : choose (n + 1) (k + 1) = choose n k + choose n (k + 1) := rfl theorem choose_eq_zero_of_lt : ∀ {n k}, n < k → choose n k = 0 | _, 0, hk => absurd hk (Nat.not_lt_zero _) | 0, k + 1, _ => choose_zero_succ _ | n + 1, k + 1, hk => by have hnk : n < k := lt_of_succ_lt_succ hk have hnk1 : n < k + 1 := lt_of_succ_lt hk rw [choose_succ_succ, choose_eq_zero_of_lt hnk, choose_eq_zero_of_lt hnk1] #align nat.choose_eq_zero_of_lt Nat.choose_eq_zero_of_lt @[simp] theorem choose_self (n : ℕ) : choose n n = 1 := by induction n <;> simp [*, choose, choose_eq_zero_of_lt (lt_succ_self _)] #align nat.choose_self Nat.choose_self @[simp] theorem choose_succ_self (n : ℕ) : choose n (succ n) = 0 := choose_eq_zero_of_lt (lt_succ_self _) #align nat.choose_succ_self Nat.choose_succ_self @[simp] lemma choose_one_right (n : ℕ) : choose n 1 = n := by induction n <;> simp [*, choose, Nat.add_comm] #align nat.choose_one_right Nat.choose_one_right -- The `n+1`-st triangle number is `n` more than the `n`-th triangle number theorem triangle_succ (n : ℕ) : (n + 1) * (n + 1 - 1) / 2 = n * (n - 1) / 2 + n := by rw [← add_mul_div_left, Nat.mul_comm 2 n, ← Nat.mul_add, Nat.add_sub_cancel, Nat.mul_comm] cases n <;> rfl; apply zero_lt_succ #align nat.triangle_succ Nat.triangle_succ theorem choose_two_right (n : ℕ) : choose n 2 = n * (n - 1) / 2 := by induction' n with n ih · simp · rw [triangle_succ n, choose, ih] simp [Nat.add_comm] #align nat.choose_two_right Nat.choose_two_right theorem choose_pos : ∀ {n k}, k ≤ n → 0 < choose n k | 0, _, hk => by rw [Nat.eq_zero_of_le_zero hk]; decide | n + 1, 0, _ => by simp | n + 1, k + 1, hk => Nat.add_pos_left (choose_pos (le_of_succ_le_succ hk)) _ #align nat.choose_pos Nat.choose_pos theorem choose_eq_zero_iff {n k : ℕ} : n.choose k = 0 ↔ n < k := ⟨fun h => lt_of_not_ge (mt Nat.choose_pos h.symm.not_lt), Nat.choose_eq_zero_of_lt⟩ #align nat.choose_eq_zero_iff Nat.choose_eq_zero_iff theorem succ_mul_choose_eq : ∀ n k, succ n * choose n k = choose (succ n) (succ k) * succ k | 0, 0 => by decide | 0, k + 1 => by simp [choose] | n + 1, 0 => by simp [choose, mul_succ, succ_eq_add_one, Nat.add_comm] | n + 1, k + 1 => by rw [choose_succ_succ (succ n) (succ k), Nat.add_mul, ← succ_mul_choose_eq n, mul_succ, ← succ_mul_choose_eq n, Nat.add_right_comm, ← Nat.mul_add, ← choose_succ_succ, ← succ_mul] #align nat.succ_mul_choose_eq Nat.succ_mul_choose_eq theorem choose_mul_factorial_mul_factorial : ∀ {n k}, k ≤ n → choose n k * k ! * (n - k)! = n ! | 0, _, hk => by simp [Nat.eq_zero_of_le_zero hk] | n + 1, 0, _ => by simp | n + 1, succ k, hk => by rcases lt_or_eq_of_le hk with hk₁ | hk₁ · have h : choose n k * k.succ ! * (n - k)! = (k + 1) * n ! := by rw [← choose_mul_factorial_mul_factorial (le_of_succ_le_succ hk)] simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] have h₁ : (n - k)! = (n - k) * (n - k.succ)! := by rw [← succ_sub_succ, succ_sub (le_of_lt_succ hk₁), factorial_succ] have h₂ : choose n (succ k) * k.succ ! * ((n - k) * (n - k.succ)!) = (n - k) * n ! := by rw [← choose_mul_factorial_mul_factorial (le_of_lt_succ hk₁)] simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] have h₃ : k * n ! ≤ n * n ! := Nat.mul_le_mul_right _ (le_of_succ_le_succ hk) rw [choose_succ_succ, Nat.add_mul, Nat.add_mul, succ_sub_succ, h, h₁, h₂, Nat.add_mul, Nat.mul_sub_right_distrib, factorial_succ, ← Nat.add_sub_assoc h₃, Nat.add_assoc, ← Nat.add_mul, Nat.add_sub_cancel_left, Nat.add_comm] · rw [hk₁]; simp [hk₁, Nat.mul_comm, choose, Nat.sub_self] #align nat.choose_mul_factorial_mul_factorial Nat.choose_mul_factorial_mul_factorial theorem choose_mul {n k s : ℕ} (hkn : k ≤ n) (hsk : s ≤ k) : n.choose k * k.choose s = n.choose s * (n - s).choose (k - s) := have h : 0 < (n - k)! * (k - s)! * s ! := by apply_rules [factorial_pos, Nat.mul_pos] Nat.mul_right_cancel h <| calc n.choose k * k.choose s * ((n - k)! * (k - s)! * s !) = n.choose k * (k.choose s * s ! * (k - s)!) * (n - k)! := by rw [Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc _ s !, Nat.mul_assoc, Nat.mul_comm (n - k)!, Nat.mul_comm s !] _ = n ! := by rw [choose_mul_factorial_mul_factorial hsk, choose_mul_factorial_mul_factorial hkn] _ = n.choose s * s ! * ((n - s).choose (k - s) * (k - s)! * (n - s - (k - s))!) := by rw [choose_mul_factorial_mul_factorial (Nat.sub_le_sub_right hkn _), choose_mul_factorial_mul_factorial (hsk.trans hkn)] _ = n.choose s * (n - s).choose (k - s) * ((n - k)! * (k - s)! * s !) := by rw [Nat.sub_sub_sub_cancel_right hsk, Nat.mul_assoc, Nat.mul_left_comm s !, Nat.mul_assoc, Nat.mul_comm (k - s)!, Nat.mul_comm s !, Nat.mul_right_comm, ← Nat.mul_assoc] #align nat.choose_mul Nat.choose_mul theorem choose_eq_factorial_div_factorial {n k : ℕ} (hk : k ≤ n) : choose n k = n ! / (k ! * (n - k)!) := by rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc] exact (mul_div_left _ (Nat.mul_pos (factorial_pos _) (factorial_pos _))).symm #align nat.choose_eq_factorial_div_factorial Nat.choose_eq_factorial_div_factorial theorem add_choose (i j : ℕ) : (i + j).choose j = (i + j)! / (i ! * j !) := by rw [choose_eq_factorial_div_factorial (Nat.le_add_left j i), Nat.add_sub_cancel_right, Nat.mul_comm] #align nat.add_choose Nat.add_choose theorem add_choose_mul_factorial_mul_factorial (i j : ℕ) : (i + j).choose j * i ! * j ! = (i + j)! := by rw [← choose_mul_factorial_mul_factorial (Nat.le_add_left _ _), Nat.add_sub_cancel_right, Nat.mul_right_comm] #align nat.add_choose_mul_factorial_mul_factorial Nat.add_choose_mul_factorial_mul_factorial theorem factorial_mul_factorial_dvd_factorial {n k : ℕ} (hk : k ≤ n) : k ! * (n - k)! ∣ n ! := by rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc]; exact Nat.dvd_mul_left _ _ #align nat.factorial_mul_factorial_dvd_factorial Nat.factorial_mul_factorial_dvd_factorial theorem factorial_mul_factorial_dvd_factorial_add (i j : ℕ) : i ! * j ! ∣ (i + j)! := by suffices i ! * (i + j - i) ! ∣ (i + j)! by rwa [Nat.add_sub_cancel_left i j] at this exact factorial_mul_factorial_dvd_factorial (Nat.le_add_right _ _) #align nat.factorial_mul_factorial_dvd_factorial_add Nat.factorial_mul_factorial_dvd_factorial_add @[simp] theorem choose_symm {n k : ℕ} (hk : k ≤ n) : choose n (n - k) = choose n k := by rw [choose_eq_factorial_div_factorial hk, choose_eq_factorial_div_factorial (Nat.sub_le _ _), Nat.sub_sub_self hk, Nat.mul_comm] #align nat.choose_symm Nat.choose_symm theorem choose_symm_of_eq_add {n a b : ℕ} (h : n = a + b) : Nat.choose n a = Nat.choose n b := by suffices choose n (n - b) = choose n b by rw [h, Nat.add_sub_cancel_right] at this; rwa [h] exact choose_symm (h ▸ le_add_left _ _) #align nat.choose_symm_of_eq_add Nat.choose_symm_of_eq_add theorem choose_symm_add {a b : ℕ} : choose (a + b) a = choose (a + b) b := choose_symm_of_eq_add rfl #align nat.choose_symm_add Nat.choose_symm_add theorem choose_symm_half (m : ℕ) : choose (2 * m + 1) (m + 1) = choose (2 * m + 1) m := by apply choose_symm_of_eq_add rw [Nat.add_comm m 1, Nat.add_assoc 1 m m, Nat.add_comm (2 * m) 1, Nat.two_mul m] #align nat.choose_symm_half Nat.choose_symm_half theorem choose_succ_right_eq (n k : ℕ) : choose n (k + 1) * (k + 1) = choose n k * (n - k) := by have e : (n + 1) * choose n k = choose n (k + 1) * (k + 1) + choose n k * (k + 1) := by rw [← Nat.add_mul, Nat.add_comm (choose _ _), ← choose_succ_succ, succ_mul_choose_eq] rw [← Nat.sub_eq_of_eq_add e, Nat.mul_comm, ← Nat.mul_sub_left_distrib, Nat.add_sub_add_right] #align nat.choose_succ_right_eq Nat.choose_succ_right_eq @[simp] theorem choose_succ_self_right : ∀ n : ℕ, (n + 1).choose n = n + 1 | 0 => rfl | n + 1 => by rw [choose_succ_succ, choose_succ_self_right n, choose_self] #align nat.choose_succ_self_right Nat.choose_succ_self_right theorem choose_mul_succ_eq (n k : ℕ) : n.choose k * (n + 1) = (n + 1).choose k * (n + 1 - k) := by cases k with | zero => simp | succ k => obtain hk | hk := le_or_lt (k + 1) (n + 1) · rw [choose_succ_succ, Nat.add_mul, succ_sub_succ, ← choose_succ_right_eq, ← succ_sub_succ, Nat.mul_sub_left_distrib, Nat.add_sub_cancel' (Nat.mul_le_mul_left _ hk)] · rw [choose_eq_zero_of_lt hk, choose_eq_zero_of_lt (n.lt_succ_self.trans hk), Nat.zero_mul, Nat.zero_mul] #align nat.choose_mul_succ_eq Nat.choose_mul_succ_eq theorem ascFactorial_eq_factorial_mul_choose (n k : ℕ) : (n + 1).ascFactorial k = k ! * (n + k).choose k := by rw [Nat.mul_comm] apply Nat.mul_right_cancel (n + k - k).factorial_pos rw [choose_mul_factorial_mul_factorial <| Nat.le_add_left k n, Nat.add_sub_cancel_right, ← factorial_mul_ascFactorial, Nat.mul_comm] #align nat.asc_factorial_eq_factorial_mul_choose Nat.ascFactorial_eq_factorial_mul_choose theorem ascFactorial_eq_factorial_mul_choose' (n k : ℕ) : n.ascFactorial k = k ! * (n + k - 1).choose k := by cases n · cases k · rw [ascFactorial_zero, choose_zero_right, factorial_zero, Nat.mul_one] · simp only [zero_ascFactorial, zero_eq, Nat.zero_add, succ_sub_succ_eq_sub, Nat.le_zero_eq, Nat.sub_zero, choose_succ_self, Nat.mul_zero] rw [ascFactorial_eq_factorial_mul_choose] simp only [succ_add_sub_one] theorem factorial_dvd_ascFactorial (n k : ℕ) : k ! ∣ n.ascFactorial k := ⟨(n + k - 1).choose k, ascFactorial_eq_factorial_mul_choose' _ _⟩ #align nat.factorial_dvd_asc_factorial Nat.factorial_dvd_ascFactorial theorem choose_eq_asc_factorial_div_factorial (n k : ℕ) : (n + k).choose k = (n + 1).ascFactorial k / k ! := by apply Nat.mul_left_cancel k.factorial_pos rw [← ascFactorial_eq_factorial_mul_choose] exact (Nat.mul_div_cancel' <| factorial_dvd_ascFactorial _ _).symm #align nat.choose_eq_asc_factorial_div_factorial Nat.choose_eq_asc_factorial_div_factorial theorem choose_eq_asc_factorial_div_factorial' (n k : ℕ) : (n + k - 1).choose k = n.ascFactorial k / k ! := Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (ascFactorial_eq_factorial_mul_choose' _ _).symm theorem descFactorial_eq_factorial_mul_choose (n k : ℕ) : n.descFactorial k = k ! * n.choose k := by obtain h | h := Nat.lt_or_ge n k · rw [descFactorial_eq_zero_iff_lt.2 h, choose_eq_zero_of_lt h, Nat.mul_zero] rw [Nat.mul_comm] apply Nat.mul_right_cancel (n - k).factorial_pos rw [choose_mul_factorial_mul_factorial h, ← factorial_mul_descFactorial h, Nat.mul_comm] #align nat.desc_factorial_eq_factorial_mul_choose Nat.descFactorial_eq_factorial_mul_choose theorem factorial_dvd_descFactorial (n k : ℕ) : k ! ∣ n.descFactorial k := ⟨n.choose k, descFactorial_eq_factorial_mul_choose _ _⟩ #align nat.factorial_dvd_desc_factorial Nat.factorial_dvd_descFactorial theorem choose_eq_descFactorial_div_factorial (n k : ℕ) : n.choose k = n.descFactorial k / k ! := Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (descFactorial_eq_factorial_mul_choose _ _).symm #align nat.choose_eq_desc_factorial_div_factorial Nat.choose_eq_descFactorial_div_factorial def fast_choose n k := Nat.descFactorial n k / Nat.factorial k @[csimp] lemma choose_eq_fast_choose : Nat.choose = fast_choose := funext (fun _ => funext (Nat.choose_eq_descFactorial_div_factorial _)) theorem choose_le_succ_of_lt_half_left {r n : ℕ} (h : r < n / 2) : choose n r ≤ choose n (r + 1) := by refine Nat.le_of_mul_le_mul_right ?_ (Nat.sub_pos_of_lt (h.trans_le (n.div_le_self 2))) rw [← choose_succ_right_eq] apply Nat.mul_le_mul_left rw [← Nat.lt_iff_add_one_le, Nat.lt_sub_iff_add_lt, ← Nat.mul_two] exact lt_of_lt_of_le (Nat.mul_lt_mul_of_pos_right h Nat.zero_lt_two) (n.div_mul_le_self 2) #align nat.choose_le_succ_of_lt_half_left Nat.choose_le_succ_of_lt_half_left private theorem choose_le_middle_of_le_half_left {n r : ℕ} (hr : r ≤ n / 2) : choose n r ≤ choose n (n / 2) := decreasingInduction (fun _ k a => (eq_or_lt_of_le a).elim (fun t => t.symm ▸ le_rfl) fun h => (choose_le_succ_of_lt_half_left h).trans (k h)) hr (fun _ => le_rfl) hr theorem choose_le_middle (r n : ℕ) : choose n r ≤ choose n (n / 2) := by cases' le_or_gt r n with b b · rcases le_or_lt r (n / 2) with a | h · apply choose_le_middle_of_le_half_left a · rw [← choose_symm b] apply choose_le_middle_of_le_half_left rw [div_lt_iff_lt_mul' Nat.zero_lt_two] at h rw [le_div_iff_mul_le' Nat.zero_lt_two, Nat.mul_sub_right_distrib, Nat.sub_le_iff_le_add, ← Nat.sub_le_iff_le_add', Nat.mul_two, Nat.add_sub_cancel] exact le_of_lt h · rw [choose_eq_zero_of_lt b] apply zero_le #align nat.choose_le_middle Nat.choose_le_middle
Mathlib/Data/Nat/Choose/Basic.lean
332
333
theorem choose_le_succ (a c : ℕ) : choose a c ≤ choose a.succ c := by
cases c <;> simp [Nat.choose_succ_succ]
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Basic import Mathlib.RingTheory.Ideal.Maps import Mathlib.RingTheory.MvPowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Finset (antidiagonal mem_antidiagonal) def PowerSeries (R : Type*) := MvPowerSeries Unit R #align power_series PowerSeries namespace PowerSeries open Finsupp (single) variable {R : Type*} section -- Porting note: not available in Lean 4 -- local reducible PowerSeries scoped notation:9000 R "⟦X⟧" => PowerSeries R instance [Inhabited R] : Inhabited R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Zero R] : Zero R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddMonoid R] : AddMonoid R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddGroup R] : AddGroup R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddCommMonoid R] : AddCommMonoid R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [AddCommGroup R] : AddCommGroup R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Semiring R] : Semiring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [CommSemiring R] : CommSemiring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Ring R] : Ring R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [CommRing R] : CommRing R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance [Nontrivial R] : Nontrivial R⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R A⟦X⟧ := by dsimp only [PowerSeries] infer_instance instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S] [IsScalarTower R S A] : IsScalarTower R S A⟦X⟧ := Pi.isScalarTower instance {A} [Semiring A] [CommSemiring R] [Algebra R A] : Algebra R A⟦X⟧ := by dsimp only [PowerSeries] infer_instance end section Semiring variable (R) [Semiring R] def coeff (n : ℕ) : R⟦X⟧ →ₗ[R] R := MvPowerSeries.coeff R (single () n) #align power_series.coeff PowerSeries.coeff def monomial (n : ℕ) : R →ₗ[R] R⟦X⟧ := MvPowerSeries.monomial R (single () n) #align power_series.monomial PowerSeries.monomial variable {R} theorem coeff_def {s : Unit →₀ ℕ} {n : ℕ} (h : s () = n) : coeff R n = MvPowerSeries.coeff R s := by erw [coeff, ← h, ← Finsupp.unique_single s] #align power_series.coeff_def PowerSeries.coeff_def @[ext] theorem ext {φ ψ : R⟦X⟧} (h : ∀ n, coeff R n φ = coeff R n ψ) : φ = ψ := MvPowerSeries.ext fun n => by rw [← coeff_def] · apply h rfl #align power_series.ext PowerSeries.ext theorem ext_iff {φ ψ : R⟦X⟧} : φ = ψ ↔ ∀ n, coeff R n φ = coeff R n ψ := ⟨fun h n => congr_arg (coeff R n) h, ext⟩ #align power_series.ext_iff PowerSeries.ext_iff instance [Subsingleton R] : Subsingleton R⟦X⟧ := by simp only [subsingleton_iff, ext_iff] exact fun _ _ _ ↦ (subsingleton_iff).mp (by infer_instance) _ _ def mk {R} (f : ℕ → R) : R⟦X⟧ := fun s => f (s ()) #align power_series.mk PowerSeries.mk @[simp] theorem coeff_mk (n : ℕ) (f : ℕ → R) : coeff R n (mk f) = f n := congr_arg f Finsupp.single_eq_same #align power_series.coeff_mk PowerSeries.coeff_mk theorem coeff_monomial (m n : ℕ) (a : R) : coeff R m (monomial R n a) = if m = n then a else 0 := calc coeff R m (monomial R n a) = _ := MvPowerSeries.coeff_monomial _ _ _ _ = if m = n then a else 0 := by simp only [Finsupp.unique_single_eq_iff] #align power_series.coeff_monomial PowerSeries.coeff_monomial theorem monomial_eq_mk (n : ℕ) (a : R) : monomial R n a = mk fun m => if m = n then a else 0 := ext fun m => by rw [coeff_monomial, coeff_mk] #align power_series.monomial_eq_mk PowerSeries.monomial_eq_mk @[simp] theorem coeff_monomial_same (n : ℕ) (a : R) : coeff R n (monomial R n a) = a := MvPowerSeries.coeff_monomial_same _ _ #align power_series.coeff_monomial_same PowerSeries.coeff_monomial_same @[simp] theorem coeff_comp_monomial (n : ℕ) : (coeff R n).comp (monomial R n) = LinearMap.id := LinearMap.ext <| coeff_monomial_same n #align power_series.coeff_comp_monomial PowerSeries.coeff_comp_monomial variable (R) def constantCoeff : R⟦X⟧ →+* R := MvPowerSeries.constantCoeff Unit R #align power_series.constant_coeff PowerSeries.constantCoeff def C : R →+* R⟦X⟧ := MvPowerSeries.C Unit R set_option linter.uppercaseLean3 false in #align power_series.C PowerSeries.C variable {R} def X : R⟦X⟧ := MvPowerSeries.X () set_option linter.uppercaseLean3 false in #align power_series.X PowerSeries.X theorem commute_X (φ : R⟦X⟧) : Commute φ X := MvPowerSeries.commute_X _ _ set_option linter.uppercaseLean3 false in #align power_series.commute_X PowerSeries.commute_X @[simp] theorem coeff_zero_eq_constantCoeff : ⇑(coeff R 0) = constantCoeff R := by rw [coeff, Finsupp.single_zero] rfl #align power_series.coeff_zero_eq_constant_coeff PowerSeries.coeff_zero_eq_constantCoeff theorem coeff_zero_eq_constantCoeff_apply (φ : R⟦X⟧) : coeff R 0 φ = constantCoeff R φ := by rw [coeff_zero_eq_constantCoeff] #align power_series.coeff_zero_eq_constant_coeff_apply PowerSeries.coeff_zero_eq_constantCoeff_apply @[simp] theorem monomial_zero_eq_C : ⇑(monomial R 0) = C R := by -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [monomial, Finsupp.single_zero, MvPowerSeries.monomial_zero_eq_C] set_option linter.uppercaseLean3 false in #align power_series.monomial_zero_eq_C PowerSeries.monomial_zero_eq_C theorem monomial_zero_eq_C_apply (a : R) : monomial R 0 a = C R a := by simp set_option linter.uppercaseLean3 false in #align power_series.monomial_zero_eq_C_apply PowerSeries.monomial_zero_eq_C_apply theorem coeff_C (n : ℕ) (a : R) : coeff R n (C R a : R⟦X⟧) = if n = 0 then a else 0 := by rw [← monomial_zero_eq_C_apply, coeff_monomial] set_option linter.uppercaseLean3 false in #align power_series.coeff_C PowerSeries.coeff_C @[simp] theorem coeff_zero_C (a : R) : coeff R 0 (C R a) = a := by rw [coeff_C, if_pos rfl] set_option linter.uppercaseLean3 false in #align power_series.coeff_zero_C PowerSeries.coeff_zero_C theorem coeff_ne_zero_C {a : R} {n : ℕ} (h : n ≠ 0) : coeff R n (C R a) = 0 := by rw [coeff_C, if_neg h] @[simp] theorem coeff_succ_C {a : R} {n : ℕ} : coeff R (n + 1) (C R a) = 0 := coeff_ne_zero_C n.succ_ne_zero theorem C_injective : Function.Injective (C R) := by intro a b H have := (ext_iff (φ := C R a) (ψ := C R b)).mp H 0 rwa [coeff_zero_C, coeff_zero_C] at this protected theorem subsingleton_iff : Subsingleton R⟦X⟧ ↔ Subsingleton R := by refine ⟨fun h ↦ ?_, fun _ ↦ inferInstance⟩ rw [subsingleton_iff] at h ⊢ exact fun a b ↦ C_injective (h (C R a) (C R b)) theorem X_eq : (X : R⟦X⟧) = monomial R 1 1 := rfl set_option linter.uppercaseLean3 false in #align power_series.X_eq PowerSeries.X_eq theorem coeff_X (n : ℕ) : coeff R n (X : R⟦X⟧) = if n = 1 then 1 else 0 := by rw [X_eq, coeff_monomial] set_option linter.uppercaseLean3 false in #align power_series.coeff_X PowerSeries.coeff_X @[simp] theorem coeff_zero_X : coeff R 0 (X : R⟦X⟧) = 0 := by -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [coeff, Finsupp.single_zero, X, MvPowerSeries.coeff_zero_X] set_option linter.uppercaseLean3 false in #align power_series.coeff_zero_X PowerSeries.coeff_zero_X @[simp] theorem coeff_one_X : coeff R 1 (X : R⟦X⟧) = 1 := by rw [coeff_X, if_pos rfl] set_option linter.uppercaseLean3 false in #align power_series.coeff_one_X PowerSeries.coeff_one_X @[simp] theorem X_ne_zero [Nontrivial R] : (X : R⟦X⟧) ≠ 0 := fun H => by simpa only [coeff_one_X, one_ne_zero, map_zero] using congr_arg (coeff R 1) H set_option linter.uppercaseLean3 false in #align power_series.X_ne_zero PowerSeries.X_ne_zero theorem X_pow_eq (n : ℕ) : (X : R⟦X⟧) ^ n = monomial R n 1 := MvPowerSeries.X_pow_eq _ n set_option linter.uppercaseLean3 false in #align power_series.X_pow_eq PowerSeries.X_pow_eq theorem coeff_X_pow (m n : ℕ) : coeff R m ((X : R⟦X⟧) ^ n) = if m = n then 1 else 0 := by rw [X_pow_eq, coeff_monomial] set_option linter.uppercaseLean3 false in #align power_series.coeff_X_pow PowerSeries.coeff_X_pow @[simp] theorem coeff_X_pow_self (n : ℕ) : coeff R n ((X : R⟦X⟧) ^ n) = 1 := by rw [coeff_X_pow, if_pos rfl] set_option linter.uppercaseLean3 false in #align power_series.coeff_X_pow_self PowerSeries.coeff_X_pow_self @[simp] theorem coeff_one (n : ℕ) : coeff R n (1 : R⟦X⟧) = if n = 0 then 1 else 0 := coeff_C n 1 #align power_series.coeff_one PowerSeries.coeff_one theorem coeff_zero_one : coeff R 0 (1 : R⟦X⟧) = 1 := coeff_zero_C 1 #align power_series.coeff_zero_one PowerSeries.coeff_zero_one theorem coeff_mul (n : ℕ) (φ ψ : R⟦X⟧) : coeff R n (φ * ψ) = ∑ p ∈ antidiagonal n, coeff R p.1 φ * coeff R p.2 ψ := by -- `rw` can't see that `PowerSeries = MvPowerSeries Unit`, so use `.trans` refine (MvPowerSeries.coeff_mul _ φ ψ).trans ?_ rw [Finsupp.antidiagonal_single, Finset.sum_map] rfl #align power_series.coeff_mul PowerSeries.coeff_mul @[simp] theorem coeff_mul_C (n : ℕ) (φ : R⟦X⟧) (a : R) : coeff R n (φ * C R a) = coeff R n φ * a := MvPowerSeries.coeff_mul_C _ φ a set_option linter.uppercaseLean3 false in #align power_series.coeff_mul_C PowerSeries.coeff_mul_C @[simp] theorem coeff_C_mul (n : ℕ) (φ : R⟦X⟧) (a : R) : coeff R n (C R a * φ) = a * coeff R n φ := MvPowerSeries.coeff_C_mul _ φ a set_option linter.uppercaseLean3 false in #align power_series.coeff_C_mul PowerSeries.coeff_C_mul @[simp] theorem coeff_smul {S : Type*} [Semiring S] [Module R S] (n : ℕ) (φ : PowerSeries S) (a : R) : coeff S n (a • φ) = a • coeff S n φ := rfl #align power_series.coeff_smul PowerSeries.coeff_smul @[simp] theorem constantCoeff_smul {S : Type*} [Semiring S] [Module R S] (φ : PowerSeries S) (a : R) : constantCoeff S (a • φ) = a • constantCoeff S φ := rfl theorem smul_eq_C_mul (f : R⟦X⟧) (a : R) : a • f = C R a * f := by ext simp set_option linter.uppercaseLean3 false in #align power_series.smul_eq_C_mul PowerSeries.smul_eq_C_mul @[simp] theorem coeff_succ_mul_X (n : ℕ) (φ : R⟦X⟧) : coeff R (n + 1) (φ * X) = coeff R n φ := by simp only [coeff, Finsupp.single_add] convert φ.coeff_add_mul_monomial (single () n) (single () 1) _ rw [mul_one]; rfl set_option linter.uppercaseLean3 false in #align power_series.coeff_succ_mul_X PowerSeries.coeff_succ_mul_X @[simp] theorem coeff_succ_X_mul (n : ℕ) (φ : R⟦X⟧) : coeff R (n + 1) (X * φ) = coeff R n φ := by simp only [coeff, Finsupp.single_add, add_comm n 1] convert φ.coeff_add_monomial_mul (single () 1) (single () n) _ rw [one_mul]; rfl set_option linter.uppercaseLean3 false in #align power_series.coeff_succ_X_mul PowerSeries.coeff_succ_X_mul @[simp] theorem constantCoeff_C (a : R) : constantCoeff R (C R a) = a := rfl set_option linter.uppercaseLean3 false in #align power_series.constant_coeff_C PowerSeries.constantCoeff_C @[simp] theorem constantCoeff_comp_C : (constantCoeff R).comp (C R) = RingHom.id R := rfl set_option linter.uppercaseLean3 false in #align power_series.constant_coeff_comp_C PowerSeries.constantCoeff_comp_C -- Porting note (#10618): simp can prove this. -- @[simp] theorem constantCoeff_zero : constantCoeff R 0 = 0 := rfl #align power_series.constant_coeff_zero PowerSeries.constantCoeff_zero -- Porting note (#10618): simp can prove this. -- @[simp] theorem constantCoeff_one : constantCoeff R 1 = 1 := rfl #align power_series.constant_coeff_one PowerSeries.constantCoeff_one @[simp] theorem constantCoeff_X : constantCoeff R X = 0 := MvPowerSeries.coeff_zero_X _ set_option linter.uppercaseLean3 false in #align power_series.constant_coeff_X PowerSeries.constantCoeff_X @[simp] theorem constantCoeff_mk {f : ℕ → R} : constantCoeff R (mk f) = f 0 := rfl theorem coeff_zero_mul_X (φ : R⟦X⟧) : coeff R 0 (φ * X) = 0 := by simp set_option linter.uppercaseLean3 false in #align power_series.coeff_zero_mul_X PowerSeries.coeff_zero_mul_X theorem coeff_zero_X_mul (φ : R⟦X⟧) : coeff R 0 (X * φ) = 0 := by simp set_option linter.uppercaseLean3 false in #align power_series.coeff_zero_X_mul PowerSeries.coeff_zero_X_mul theorem constantCoeff_surj : Function.Surjective (constantCoeff R) := fun r => ⟨(C R) r, constantCoeff_C r⟩ -- The following section duplicates the API of `Data.Polynomial.Coeff` and should attempt to keep -- up to date with that section theorem coeff_C_mul_X_pow (x : R) (k n : ℕ) : coeff R n (C R x * X ^ k : R⟦X⟧) = if n = k then x else 0 := by simp [X_pow_eq, coeff_monomial] set_option linter.uppercaseLean3 false in #align power_series.coeff_C_mul_X_pow PowerSeries.coeff_C_mul_X_pow @[simp] theorem coeff_mul_X_pow (p : R⟦X⟧) (n d : ℕ) : coeff R (d + n) (p * X ^ n) = coeff R d p := by rw [coeff_mul, Finset.sum_eq_single (d, n), coeff_X_pow, if_pos rfl, mul_one] · rintro ⟨i, j⟩ h1 h2 rw [coeff_X_pow, if_neg, mul_zero] rintro rfl apply h2 rw [mem_antidiagonal, add_right_cancel_iff] at h1 subst h1 rfl · exact fun h1 => (h1 (mem_antidiagonal.2 rfl)).elim set_option linter.uppercaseLean3 false in #align power_series.coeff_mul_X_pow PowerSeries.coeff_mul_X_pow @[simp] theorem coeff_X_pow_mul (p : R⟦X⟧) (n d : ℕ) : coeff R (d + n) (X ^ n * p) = coeff R d p := by rw [coeff_mul, Finset.sum_eq_single (n, d), coeff_X_pow, if_pos rfl, one_mul] · rintro ⟨i, j⟩ h1 h2 rw [coeff_X_pow, if_neg, zero_mul] rintro rfl apply h2 rw [mem_antidiagonal, add_comm, add_right_cancel_iff] at h1 subst h1 rfl · rw [add_comm] exact fun h1 => (h1 (mem_antidiagonal.2 rfl)).elim set_option linter.uppercaseLean3 false in #align power_series.coeff_X_pow_mul PowerSeries.coeff_X_pow_mul theorem coeff_mul_X_pow' (p : R⟦X⟧) (n d : ℕ) : coeff R d (p * X ^ n) = ite (n ≤ d) (coeff R (d - n) p) 0 := by split_ifs with h · rw [← tsub_add_cancel_of_le h, coeff_mul_X_pow, add_tsub_cancel_right] · refine (coeff_mul _ _ _).trans (Finset.sum_eq_zero fun x hx => ?_) rw [coeff_X_pow, if_neg, mul_zero] exact ((le_of_add_le_right (mem_antidiagonal.mp hx).le).trans_lt <| not_le.mp h).ne set_option linter.uppercaseLean3 false in #align power_series.coeff_mul_X_pow' PowerSeries.coeff_mul_X_pow' theorem coeff_X_pow_mul' (p : R⟦X⟧) (n d : ℕ) : coeff R d (X ^ n * p) = ite (n ≤ d) (coeff R (d - n) p) 0 := by split_ifs with h · rw [← tsub_add_cancel_of_le h, coeff_X_pow_mul] simp · refine (coeff_mul _ _ _).trans (Finset.sum_eq_zero fun x hx => ?_) rw [coeff_X_pow, if_neg, zero_mul] have := mem_antidiagonal.mp hx rw [add_comm] at this exact ((le_of_add_le_right this.le).trans_lt <| not_le.mp h).ne set_option linter.uppercaseLean3 false in #align power_series.coeff_X_pow_mul' PowerSeries.coeff_X_pow_mul' end theorem isUnit_constantCoeff (φ : R⟦X⟧) (h : IsUnit φ) : IsUnit (constantCoeff R φ) := MvPowerSeries.isUnit_constantCoeff φ h #align power_series.is_unit_constant_coeff PowerSeries.isUnit_constantCoeff
Mathlib/RingTheory/PowerSeries/Basic.lean
499
505
theorem eq_shift_mul_X_add_const (φ : R⟦X⟧) : φ = (mk fun p => coeff R (p + 1) φ) * X + C R (constantCoeff R φ) := by
ext (_ | n) · simp only [Nat.zero_eq, coeff_zero_eq_constantCoeff, map_add, map_mul, constantCoeff_X, mul_zero, coeff_zero_C, zero_add] · simp only [coeff_succ_mul_X, coeff_mk, LinearMap.map_add, coeff_C, n.succ_ne_zero, sub_zero, if_false, add_zero]
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse #align_import geometry.euclidean.angle.unoriented.basic from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" assert_not_exists HasFDerivAt assert_not_exists ConformalAt noncomputable section open Real Set open Real open RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] {x y : V} def angle (x y : V) : ℝ := Real.arccos (⟪x, y⟫ / (‖x‖ * ‖y‖)) #align inner_product_geometry.angle InnerProductGeometry.angle theorem continuousAt_angle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) : ContinuousAt (fun y : V × V => angle y.1 y.2) x := Real.continuous_arccos.continuousAt.comp <| continuous_inner.continuousAt.div ((continuous_norm.comp continuous_fst).mul (continuous_norm.comp continuous_snd)).continuousAt (by simp [hx1, hx2]) #align inner_product_geometry.continuous_at_angle InnerProductGeometry.continuousAt_angle theorem angle_smul_smul {c : ℝ} (hc : c ≠ 0) (x y : V) : angle (c • x) (c • y) = angle x y := by have : c * c ≠ 0 := mul_ne_zero hc hc rw [angle, angle, real_inner_smul_left, inner_smul_right, norm_smul, norm_smul, Real.norm_eq_abs, mul_mul_mul_comm _ ‖x‖, abs_mul_abs_self, ← mul_assoc c c, mul_div_mul_left _ _ this] #align inner_product_geometry.angle_smul_smul InnerProductGeometry.angle_smul_smul @[simp] theorem _root_.LinearIsometry.angle_map {E F : Type*} [NormedAddCommGroup E] [NormedAddCommGroup F] [InnerProductSpace ℝ E] [InnerProductSpace ℝ F] (f : E →ₗᵢ[ℝ] F) (u v : E) : angle (f u) (f v) = angle u v := by rw [angle, angle, f.inner_map_map, f.norm_map, f.norm_map] #align linear_isometry.angle_map LinearIsometry.angle_map @[simp, norm_cast] theorem _root_.Submodule.angle_coe {s : Submodule ℝ V} (x y : s) : angle (x : V) (y : V) = angle x y := s.subtypeₗᵢ.angle_map x y #align submodule.angle_coe Submodule.angle_coe theorem cos_angle (x y : V) : Real.cos (angle x y) = ⟪x, y⟫ / (‖x‖ * ‖y‖) := Real.cos_arccos (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).1 (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).2 #align inner_product_geometry.cos_angle InnerProductGeometry.cos_angle theorem angle_comm (x y : V) : angle x y = angle y x := by unfold angle rw [real_inner_comm, mul_comm] #align inner_product_geometry.angle_comm InnerProductGeometry.angle_comm @[simp] theorem angle_neg_neg (x y : V) : angle (-x) (-y) = angle x y := by unfold angle rw [inner_neg_neg, norm_neg, norm_neg] #align inner_product_geometry.angle_neg_neg InnerProductGeometry.angle_neg_neg theorem angle_nonneg (x y : V) : 0 ≤ angle x y := Real.arccos_nonneg _ #align inner_product_geometry.angle_nonneg InnerProductGeometry.angle_nonneg theorem angle_le_pi (x y : V) : angle x y ≤ π := Real.arccos_le_pi _ #align inner_product_geometry.angle_le_pi InnerProductGeometry.angle_le_pi theorem angle_neg_right (x y : V) : angle x (-y) = π - angle x y := by unfold angle rw [← Real.arccos_neg, norm_neg, inner_neg_right, neg_div] #align inner_product_geometry.angle_neg_right InnerProductGeometry.angle_neg_right theorem angle_neg_left (x y : V) : angle (-x) y = π - angle x y := by rw [← angle_neg_neg, neg_neg, angle_neg_right] #align inner_product_geometry.angle_neg_left InnerProductGeometry.angle_neg_left proof_wanted angle_triangle (x y z : V) : angle x z ≤ angle x y + angle y z @[simp] theorem angle_zero_left (x : V) : angle 0 x = π / 2 := by unfold angle rw [inner_zero_left, zero_div, Real.arccos_zero] #align inner_product_geometry.angle_zero_left InnerProductGeometry.angle_zero_left @[simp] theorem angle_zero_right (x : V) : angle x 0 = π / 2 := by unfold angle rw [inner_zero_right, zero_div, Real.arccos_zero] #align inner_product_geometry.angle_zero_right InnerProductGeometry.angle_zero_right @[simp] theorem angle_self {x : V} (hx : x ≠ 0) : angle x x = 0 := by unfold angle rw [← real_inner_self_eq_norm_mul_norm, div_self (inner_self_ne_zero.2 hx : ⟪x, x⟫ ≠ 0), Real.arccos_one] #align inner_product_geometry.angle_self InnerProductGeometry.angle_self @[simp] theorem angle_self_neg_of_nonzero {x : V} (hx : x ≠ 0) : angle x (-x) = π := by rw [angle_neg_right, angle_self hx, sub_zero] #align inner_product_geometry.angle_self_neg_of_nonzero InnerProductGeometry.angle_self_neg_of_nonzero @[simp] theorem angle_neg_self_of_nonzero {x : V} (hx : x ≠ 0) : angle (-x) x = π := by rw [angle_comm, angle_self_neg_of_nonzero hx] #align inner_product_geometry.angle_neg_self_of_nonzero InnerProductGeometry.angle_neg_self_of_nonzero @[simp] theorem angle_smul_right_of_pos (x y : V) {r : ℝ} (hr : 0 < r) : angle x (r • y) = angle x y := by unfold angle rw [inner_smul_right, norm_smul, Real.norm_eq_abs, abs_of_nonneg (le_of_lt hr), ← mul_assoc, mul_comm _ r, mul_assoc, mul_div_mul_left _ _ (ne_of_gt hr)] #align inner_product_geometry.angle_smul_right_of_pos InnerProductGeometry.angle_smul_right_of_pos @[simp] theorem angle_smul_left_of_pos (x y : V) {r : ℝ} (hr : 0 < r) : angle (r • x) y = angle x y := by rw [angle_comm, angle_smul_right_of_pos y x hr, angle_comm] #align inner_product_geometry.angle_smul_left_of_pos InnerProductGeometry.angle_smul_left_of_pos @[simp] theorem angle_smul_right_of_neg (x y : V) {r : ℝ} (hr : r < 0) : angle x (r • y) = angle x (-y) := by rw [← neg_neg r, neg_smul, angle_neg_right, angle_smul_right_of_pos x y (neg_pos_of_neg hr), angle_neg_right] #align inner_product_geometry.angle_smul_right_of_neg InnerProductGeometry.angle_smul_right_of_neg @[simp] theorem angle_smul_left_of_neg (x y : V) {r : ℝ} (hr : r < 0) : angle (r • x) y = angle (-x) y := by rw [angle_comm, angle_smul_right_of_neg y x hr, angle_comm] #align inner_product_geometry.angle_smul_left_of_neg InnerProductGeometry.angle_smul_left_of_neg theorem cos_angle_mul_norm_mul_norm (x y : V) : Real.cos (angle x y) * (‖x‖ * ‖y‖) = ⟪x, y⟫ := by rw [cos_angle, div_mul_cancel_of_imp] simp (config := { contextual := true }) [or_imp] #align inner_product_geometry.cos_angle_mul_norm_mul_norm InnerProductGeometry.cos_angle_mul_norm_mul_norm theorem sin_angle_mul_norm_mul_norm (x y : V) : Real.sin (angle x y) * (‖x‖ * ‖y‖) = √(⟪x, x⟫ * ⟪y, y⟫ - ⟪x, y⟫ * ⟪x, y⟫) := by unfold angle rw [Real.sin_arccos, ← Real.sqrt_mul_self (mul_nonneg (norm_nonneg x) (norm_nonneg y)), ← Real.sqrt_mul' _ (mul_self_nonneg _), sq, Real.sqrt_mul_self (mul_nonneg (norm_nonneg x) (norm_nonneg y)), real_inner_self_eq_norm_mul_norm, real_inner_self_eq_norm_mul_norm] by_cases h : ‖x‖ * ‖y‖ = 0 · rw [show ‖x‖ * ‖x‖ * (‖y‖ * ‖y‖) = ‖x‖ * ‖y‖ * (‖x‖ * ‖y‖) by ring, h, mul_zero, mul_zero, zero_sub] cases' eq_zero_or_eq_zero_of_mul_eq_zero h with hx hy · rw [norm_eq_zero] at hx rw [hx, inner_zero_left, zero_mul, neg_zero] · rw [norm_eq_zero] at hy rw [hy, inner_zero_right, zero_mul, neg_zero] · field_simp [h] ring_nf #align inner_product_geometry.sin_angle_mul_norm_mul_norm InnerProductGeometry.sin_angle_mul_norm_mul_norm theorem angle_eq_zero_iff {x y : V} : angle x y = 0 ↔ x ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • x := by rw [angle, ← real_inner_div_norm_mul_norm_eq_one_iff, Real.arccos_eq_zero, LE.le.le_iff_eq, eq_comm] exact (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).2 #align inner_product_geometry.angle_eq_zero_iff InnerProductGeometry.angle_eq_zero_iff theorem angle_eq_pi_iff {x y : V} : angle x y = π ↔ x ≠ 0 ∧ ∃ r : ℝ, r < 0 ∧ y = r • x := by rw [angle, ← real_inner_div_norm_mul_norm_eq_neg_one_iff, Real.arccos_eq_pi, LE.le.le_iff_eq] exact (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).1 #align inner_product_geometry.angle_eq_pi_iff InnerProductGeometry.angle_eq_pi_iff theorem angle_add_angle_eq_pi_of_angle_eq_pi {x y : V} (z : V) (h : angle x y = π) : angle x z + angle y z = π := by rcases angle_eq_pi_iff.1 h with ⟨_, ⟨r, ⟨hr, rfl⟩⟩⟩ rw [angle_smul_left_of_neg x z hr, angle_neg_left, add_sub_cancel] #align inner_product_geometry.angle_add_angle_eq_pi_of_angle_eq_pi InnerProductGeometry.angle_add_angle_eq_pi_of_angle_eq_pi theorem inner_eq_zero_iff_angle_eq_pi_div_two (x y : V) : ⟪x, y⟫ = 0 ↔ angle x y = π / 2 := Iff.symm <| by simp (config := { contextual := true }) [angle, or_imp] #align inner_product_geometry.inner_eq_zero_iff_angle_eq_pi_div_two InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two theorem inner_eq_neg_mul_norm_of_angle_eq_pi {x y : V} (h : angle x y = π) : ⟪x, y⟫ = -(‖x‖ * ‖y‖) := by simp [← cos_angle_mul_norm_mul_norm, h] #align inner_product_geometry.inner_eq_neg_mul_norm_of_angle_eq_pi InnerProductGeometry.inner_eq_neg_mul_norm_of_angle_eq_pi theorem inner_eq_mul_norm_of_angle_eq_zero {x y : V} (h : angle x y = 0) : ⟪x, y⟫ = ‖x‖ * ‖y‖ := by simp [← cos_angle_mul_norm_mul_norm, h] #align inner_product_geometry.inner_eq_mul_norm_of_angle_eq_zero InnerProductGeometry.inner_eq_mul_norm_of_angle_eq_zero theorem inner_eq_neg_mul_norm_iff_angle_eq_pi {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : ⟪x, y⟫ = -(‖x‖ * ‖y‖) ↔ angle x y = π := by refine ⟨fun h => ?_, inner_eq_neg_mul_norm_of_angle_eq_pi⟩ have h₁ : ‖x‖ * ‖y‖ ≠ 0 := (mul_pos (norm_pos_iff.mpr hx) (norm_pos_iff.mpr hy)).ne' rw [angle, h, neg_div, div_self h₁, Real.arccos_neg_one] #align inner_product_geometry.inner_eq_neg_mul_norm_iff_angle_eq_pi InnerProductGeometry.inner_eq_neg_mul_norm_iff_angle_eq_pi theorem inner_eq_mul_norm_iff_angle_eq_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : ⟪x, y⟫ = ‖x‖ * ‖y‖ ↔ angle x y = 0 := by refine ⟨fun h => ?_, inner_eq_mul_norm_of_angle_eq_zero⟩ have h₁ : ‖x‖ * ‖y‖ ≠ 0 := (mul_pos (norm_pos_iff.mpr hx) (norm_pos_iff.mpr hy)).ne' rw [angle, h, div_self h₁, Real.arccos_one] #align inner_product_geometry.inner_eq_mul_norm_iff_angle_eq_zero InnerProductGeometry.inner_eq_mul_norm_iff_angle_eq_zero theorem norm_sub_eq_add_norm_of_angle_eq_pi {x y : V} (h : angle x y = π) : ‖x - y‖ = ‖x‖ + ‖y‖ := by rw [← sq_eq_sq (norm_nonneg (x - y)) (add_nonneg (norm_nonneg x) (norm_nonneg y)), norm_sub_pow_two_real, inner_eq_neg_mul_norm_of_angle_eq_pi h] ring #align inner_product_geometry.norm_sub_eq_add_norm_of_angle_eq_pi InnerProductGeometry.norm_sub_eq_add_norm_of_angle_eq_pi theorem norm_add_eq_add_norm_of_angle_eq_zero {x y : V} (h : angle x y = 0) : ‖x + y‖ = ‖x‖ + ‖y‖ := by rw [← sq_eq_sq (norm_nonneg (x + y)) (add_nonneg (norm_nonneg x) (norm_nonneg y)), norm_add_pow_two_real, inner_eq_mul_norm_of_angle_eq_zero h] ring #align inner_product_geometry.norm_add_eq_add_norm_of_angle_eq_zero InnerProductGeometry.norm_add_eq_add_norm_of_angle_eq_zero theorem norm_sub_eq_abs_sub_norm_of_angle_eq_zero {x y : V} (h : angle x y = 0) : ‖x - y‖ = |‖x‖ - ‖y‖| := by rw [← sq_eq_sq (norm_nonneg (x - y)) (abs_nonneg (‖x‖ - ‖y‖)), norm_sub_pow_two_real, inner_eq_mul_norm_of_angle_eq_zero h, sq_abs (‖x‖ - ‖y‖)] ring #align inner_product_geometry.norm_sub_eq_abs_sub_norm_of_angle_eq_zero InnerProductGeometry.norm_sub_eq_abs_sub_norm_of_angle_eq_zero theorem norm_sub_eq_add_norm_iff_angle_eq_pi {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : ‖x - y‖ = ‖x‖ + ‖y‖ ↔ angle x y = π := by refine ⟨fun h => ?_, norm_sub_eq_add_norm_of_angle_eq_pi⟩ rw [← inner_eq_neg_mul_norm_iff_angle_eq_pi hx hy] obtain ⟨hxy₁, hxy₂⟩ := norm_nonneg (x - y), add_nonneg (norm_nonneg x) (norm_nonneg y) rw [← sq_eq_sq hxy₁ hxy₂, norm_sub_pow_two_real] at h calc ⟪x, y⟫ = (‖x‖ ^ 2 + ‖y‖ ^ 2 - (‖x‖ + ‖y‖) ^ 2) / 2 := by linarith _ = -(‖x‖ * ‖y‖) := by ring #align inner_product_geometry.norm_sub_eq_add_norm_iff_angle_eq_pi InnerProductGeometry.norm_sub_eq_add_norm_iff_angle_eq_pi theorem norm_add_eq_add_norm_iff_angle_eq_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : ‖x + y‖ = ‖x‖ + ‖y‖ ↔ angle x y = 0 := by refine ⟨fun h => ?_, norm_add_eq_add_norm_of_angle_eq_zero⟩ rw [← inner_eq_mul_norm_iff_angle_eq_zero hx hy] obtain ⟨hxy₁, hxy₂⟩ := norm_nonneg (x + y), add_nonneg (norm_nonneg x) (norm_nonneg y) rw [← sq_eq_sq hxy₁ hxy₂, norm_add_pow_two_real] at h calc ⟪x, y⟫ = ((‖x‖ + ‖y‖) ^ 2 - ‖x‖ ^ 2 - ‖y‖ ^ 2) / 2 := by linarith _ = ‖x‖ * ‖y‖ := by ring #align inner_product_geometry.norm_add_eq_add_norm_iff_angle_eq_zero InnerProductGeometry.norm_add_eq_add_norm_iff_angle_eq_zero theorem norm_sub_eq_abs_sub_norm_iff_angle_eq_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : ‖x - y‖ = |‖x‖ - ‖y‖| ↔ angle x y = 0 := by refine ⟨fun h => ?_, norm_sub_eq_abs_sub_norm_of_angle_eq_zero⟩ rw [← inner_eq_mul_norm_iff_angle_eq_zero hx hy] have h1 : ‖x - y‖ ^ 2 = (‖x‖ - ‖y‖) ^ 2 := by rw [h] exact sq_abs (‖x‖ - ‖y‖) rw [norm_sub_pow_two_real] at h1 calc ⟪x, y⟫ = ((‖x‖ + ‖y‖) ^ 2 - ‖x‖ ^ 2 - ‖y‖ ^ 2) / 2 := by linarith _ = ‖x‖ * ‖y‖ := by ring #align inner_product_geometry.norm_sub_eq_abs_sub_norm_iff_angle_eq_zero InnerProductGeometry.norm_sub_eq_abs_sub_norm_iff_angle_eq_zero theorem norm_add_eq_norm_sub_iff_angle_eq_pi_div_two (x y : V) : ‖x + y‖ = ‖x - y‖ ↔ angle x y = π / 2 := by rw [← sq_eq_sq (norm_nonneg (x + y)) (norm_nonneg (x - y)), ← inner_eq_zero_iff_angle_eq_pi_div_two x y, norm_add_pow_two_real, norm_sub_pow_two_real] constructor <;> intro h <;> linarith #align inner_product_geometry.norm_add_eq_norm_sub_iff_angle_eq_pi_div_two InnerProductGeometry.norm_add_eq_norm_sub_iff_angle_eq_pi_div_two theorem cos_eq_one_iff_angle_eq_zero : cos (angle x y) = 1 ↔ angle x y = 0 := by rw [← cos_zero] exact injOn_cos.eq_iff ⟨angle_nonneg x y, angle_le_pi x y⟩ (left_mem_Icc.2 pi_pos.le) #align inner_product_geometry.cos_eq_one_iff_angle_eq_zero InnerProductGeometry.cos_eq_one_iff_angle_eq_zero
Mathlib/Geometry/Euclidean/Angle/Unoriented/Basic.lean
352
355
theorem cos_eq_zero_iff_angle_eq_pi_div_two : cos (angle x y) = 0 ↔ angle x y = π / 2 := by
rw [← cos_pi_div_two] apply injOn_cos.eq_iff ⟨angle_nonneg x y, angle_le_pi x y⟩ constructor <;> linarith [pi_pos]
import Mathlib.Analysis.Calculus.FDeriv.Equiv import Mathlib.Analysis.Calculus.FormalMultilinearSeries #align_import analysis.calculus.cont_diff_def from "leanprover-community/mathlib"@"3a69562db5a458db8322b190ec8d9a8bbd8a5b14" noncomputable section open scoped Classical open NNReal Topology Filter local notation "∞" => (⊤ : ℕ∞) open Set Fin Filter Function universe u uE uF uG uX variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {X : Type uX} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F} {g : F → G} {x x₀ : E} {c : F} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F} structure HasFTaylorSeriesUpToOn (n : ℕ∞) (f : E → F) (p : E → FormalMultilinearSeries 𝕜 E F) (s : Set E) : Prop where zero_eq : ∀ x ∈ s, (p x 0).uncurry0 = f x protected fderivWithin : ∀ m : ℕ, (m : ℕ∞) < n → ∀ x ∈ s, HasFDerivWithinAt (p · m) (p x m.succ).curryLeft s x cont : ∀ m : ℕ, (m : ℕ∞) ≤ n → ContinuousOn (p · m) s #align has_ftaylor_series_up_to_on HasFTaylorSeriesUpToOn theorem HasFTaylorSeriesUpToOn.zero_eq' (h : HasFTaylorSeriesUpToOn n f p s) {x : E} (hx : x ∈ s) : p x 0 = (continuousMultilinearCurryFin0 𝕜 E F).symm (f x) := by rw [← h.zero_eq x hx] exact (p x 0).uncurry0_curry0.symm #align has_ftaylor_series_up_to_on.zero_eq' HasFTaylorSeriesUpToOn.zero_eq' theorem HasFTaylorSeriesUpToOn.congr (h : HasFTaylorSeriesUpToOn n f p s) (h₁ : ∀ x ∈ s, f₁ x = f x) : HasFTaylorSeriesUpToOn n f₁ p s := by refine ⟨fun x hx => ?_, h.fderivWithin, h.cont⟩ rw [h₁ x hx] exact h.zero_eq x hx #align has_ftaylor_series_up_to_on.congr HasFTaylorSeriesUpToOn.congr theorem HasFTaylorSeriesUpToOn.mono (h : HasFTaylorSeriesUpToOn n f p s) {t : Set E} (hst : t ⊆ s) : HasFTaylorSeriesUpToOn n f p t := ⟨fun x hx => h.zero_eq x (hst hx), fun m hm x hx => (h.fderivWithin m hm x (hst hx)).mono hst, fun m hm => (h.cont m hm).mono hst⟩ #align has_ftaylor_series_up_to_on.mono HasFTaylorSeriesUpToOn.mono theorem HasFTaylorSeriesUpToOn.of_le (h : HasFTaylorSeriesUpToOn n f p s) (hmn : m ≤ n) : HasFTaylorSeriesUpToOn m f p s := ⟨h.zero_eq, fun k hk x hx => h.fderivWithin k (lt_of_lt_of_le hk hmn) x hx, fun k hk => h.cont k (le_trans hk hmn)⟩ #align has_ftaylor_series_up_to_on.of_le HasFTaylorSeriesUpToOn.of_le
Mathlib/Analysis/Calculus/ContDiff/Defs.lean
223
226
theorem HasFTaylorSeriesUpToOn.continuousOn (h : HasFTaylorSeriesUpToOn n f p s) : ContinuousOn f s := by
have := (h.cont 0 bot_le).congr fun x hx => (h.zero_eq' hx).symm rwa [← (continuousMultilinearCurryFin0 𝕜 E F).symm.comp_continuousOn_iff]
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2)) theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two theorem cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle x (x + y)) = ‖x‖ / ‖x + y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.cos_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two theorem cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x + y) y) = ‖y‖ / ‖x + y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).cos_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two theorem sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle x (x + y)) = ‖y‖ / ‖x + y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.sin_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two theorem sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x + y) y) = ‖x‖ / ‖x + y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).sin_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two theorem tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle x (x + y)) = ‖y‖ / ‖x‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.tan_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two theorem tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x + y) y) = ‖x‖ / ‖y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).tan_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two theorem cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle x (x + y)) * ‖x + y‖ = ‖x‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two theorem cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x + y) y) * ‖x + y‖ = ‖y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two theorem sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle x (x + y)) * ‖x + y‖ = ‖y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two theorem sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x + y) y) * ‖x + y‖ = ‖x‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two theorem tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle x (x + y)) * ‖x‖ = ‖y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two theorem tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x + y) y) * ‖y‖ = ‖x‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two theorem norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.cos (o.oangle x (x + y)) = ‖x + y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.norm_div_cos_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two theorem norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.cos (o.oangle (x + y) y) = ‖x + y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two theorem norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.sin (o.oangle x (x + y)) = ‖x + y‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.norm_div_sin_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inr (o.right_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two theorem norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.sin (o.oangle (x + y) y) = ‖x + y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two theorem norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.tan (o.oangle x (x + y)) = ‖x‖ := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.norm_div_tan_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inr (o.right_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two theorem norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.tan (o.oangle (x + y) y) = ‖y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two h #align orientation.norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two theorem oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle y (y - x) = Real.arccos (‖y‖ / ‖y - x‖) := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_sub_eq_arccos_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x - y) x = Real.arccos (‖x‖ / ‖x - y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two h #align orientation.oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle y (y - x) = Real.arcsin (‖x‖ / ‖y - x‖) := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_sub_eq_arcsin_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x - y) x = Real.arcsin (‖y‖ / ‖x - y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two h #align orientation.oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle y (y - x) = Real.arctan (‖x‖ / ‖y‖) := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_sub_eq_arctan_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h) (o.right_ne_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two theorem oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x - y) x = Real.arctan (‖y‖ / ‖x‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two h #align orientation.oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two theorem cos_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle y (y - x)) = ‖y‖ / ‖y - x‖ := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.cos_angle_sub_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.cos_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_right_of_oangle_eq_pi_div_two theorem cos_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x - y) x) = ‖x‖ / ‖x - y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).cos_oangle_sub_right_of_oangle_eq_pi_div_two h #align orientation.cos_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_left_of_oangle_eq_pi_div_two theorem sin_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle y (y - x)) = ‖x‖ / ‖y - x‖ := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.sin_angle_sub_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.sin_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_right_of_oangle_eq_pi_div_two theorem sin_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x - y) x) = ‖y‖ / ‖x - y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).sin_oangle_sub_right_of_oangle_eq_pi_div_two h #align orientation.sin_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_left_of_oangle_eq_pi_div_two theorem tan_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle y (y - x)) = ‖x‖ / ‖y‖ := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.tan_angle_sub_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.tan_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_right_of_oangle_eq_pi_div_two theorem tan_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x - y) x) = ‖y‖ / ‖x‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).tan_oangle_sub_right_of_oangle_eq_pi_div_two h #align orientation.tan_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_left_of_oangle_eq_pi_div_two theorem cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle y (y - x)) * ‖y - x‖ = ‖y‖ := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe, InnerProductGeometry.cos_angle_sub_mul_norm_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two theorem cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x - y) x) * ‖x - y‖ = ‖x‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two theorem sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle y (y - x)) * ‖y - x‖ = ‖x‖ := by have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe, InnerProductGeometry.sin_angle_sub_mul_norm_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two theorem sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x - y) x) * ‖x - y‖ = ‖y‖ := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ exact (-o).sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h #align orientation.sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
416
423
theorem tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle y (y - x)) * ‖y‖ = ‖x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe, InnerProductGeometry.tan_angle_sub_mul_norm_of_inner_eq_zero (o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
import Mathlib.Algebra.Quaternion import Mathlib.Tactic.Ring #align_import algebra.quaternion_basis from "leanprover-community/mathlib"@"3aa5b8a9ed7a7cabd36e6e1d022c9858ab8a8c2d" open Quaternion namespace QuaternionAlgebra structure Basis {R : Type*} (A : Type*) [CommRing R] [Ring A] [Algebra R A] (c₁ c₂ : R) where (i j k : A) i_mul_i : i * i = c₁ • (1 : A) j_mul_j : j * j = c₂ • (1 : A) i_mul_j : i * j = k j_mul_i : j * i = -k #align quaternion_algebra.basis QuaternionAlgebra.Basis variable {R : Type*} {A B : Type*} [CommRing R] [Ring A] [Ring B] [Algebra R A] [Algebra R B] variable {c₁ c₂ : R} namespace Basis @[ext] protected theorem ext ⦃q₁ q₂ : Basis A c₁ c₂⦄ (hi : q₁.i = q₂.i) (hj : q₁.j = q₂.j) : q₁ = q₂ := by cases q₁; rename_i q₁_i_mul_j _ cases q₂; rename_i q₂_i_mul_j _ congr rw [← q₁_i_mul_j, ← q₂_i_mul_j] congr #align quaternion_algebra.basis.ext QuaternionAlgebra.Basis.ext variable (R) @[simps i j k] protected def self : Basis ℍ[R,c₁,c₂] c₁ c₂ where i := ⟨0, 1, 0, 0⟩ i_mul_i := by ext <;> simp j := ⟨0, 0, 1, 0⟩ j_mul_j := by ext <;> simp k := ⟨0, 0, 0, 1⟩ i_mul_j := by ext <;> simp j_mul_i := by ext <;> simp #align quaternion_algebra.basis.self QuaternionAlgebra.Basis.self variable {R} instance : Inhabited (Basis ℍ[R,c₁,c₂] c₁ c₂) := ⟨Basis.self R⟩ variable (q : Basis A c₁ c₂) attribute [simp] i_mul_i j_mul_j i_mul_j j_mul_i @[simp] theorem i_mul_k : q.i * q.k = c₁ • q.j := by rw [← i_mul_j, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul] #align quaternion_algebra.basis.i_mul_k QuaternionAlgebra.Basis.i_mul_k @[simp] theorem k_mul_i : q.k * q.i = -c₁ • q.j := by rw [← i_mul_j, mul_assoc, j_mul_i, mul_neg, i_mul_k, neg_smul] #align quaternion_algebra.basis.k_mul_i QuaternionAlgebra.Basis.k_mul_i @[simp] theorem k_mul_j : q.k * q.j = c₂ • q.i := by rw [← i_mul_j, mul_assoc, j_mul_j, mul_smul_comm, mul_one] #align quaternion_algebra.basis.k_mul_j QuaternionAlgebra.Basis.k_mul_j @[simp] theorem j_mul_k : q.j * q.k = -c₂ • q.i := by rw [← i_mul_j, ← mul_assoc, j_mul_i, neg_mul, k_mul_j, neg_smul] #align quaternion_algebra.basis.j_mul_k QuaternionAlgebra.Basis.j_mul_k @[simp] theorem k_mul_k : q.k * q.k = -((c₁ * c₂) • (1 : A)) := by rw [← i_mul_j, mul_assoc, ← mul_assoc q.j _ _, j_mul_i, ← i_mul_j, ← mul_assoc, mul_neg, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul, neg_mul, smul_mul_assoc, j_mul_j, smul_smul] #align quaternion_algebra.basis.k_mul_k QuaternionAlgebra.Basis.k_mul_k def lift (x : ℍ[R,c₁,c₂]) : A := algebraMap R _ x.re + x.imI • q.i + x.imJ • q.j + x.imK • q.k #align quaternion_algebra.basis.lift QuaternionAlgebra.Basis.lift theorem lift_zero : q.lift (0 : ℍ[R,c₁,c₂]) = 0 := by simp [lift] #align quaternion_algebra.basis.lift_zero QuaternionAlgebra.Basis.lift_zero theorem lift_one : q.lift (1 : ℍ[R,c₁,c₂]) = 1 := by simp [lift] #align quaternion_algebra.basis.lift_one QuaternionAlgebra.Basis.lift_one
Mathlib/Algebra/QuaternionBasis.lean
120
122
theorem lift_add (x y : ℍ[R,c₁,c₂]) : q.lift (x + y) = q.lift x + q.lift y := by
simp only [lift, add_re, map_add, add_imI, add_smul, add_imJ, add_imK] abel
import Mathlib.Data.Real.Sqrt import Mathlib.Analysis.NormedSpace.Star.Basic import Mathlib.Analysis.NormedSpace.ContinuousLinearMap import Mathlib.Analysis.NormedSpace.Basic #align_import data.is_R_or_C.basic from "leanprover-community/mathlib"@"baa88307f3e699fa7054ef04ec79fa4f056169cb" section local notation "𝓚" => algebraMap ℝ _ open ComplexConjugate class RCLike (K : semiOutParam Type*) extends DenselyNormedField K, StarRing K, NormedAlgebra ℝ K, CompleteSpace K where re : K →+ ℝ im : K →+ ℝ I : K I_re_ax : re I = 0 I_mul_I_ax : I = 0 ∨ I * I = -1 re_add_im_ax : ∀ z : K, 𝓚 (re z) + 𝓚 (im z) * I = z ofReal_re_ax : ∀ r : ℝ, re (𝓚 r) = r ofReal_im_ax : ∀ r : ℝ, im (𝓚 r) = 0 mul_re_ax : ∀ z w : K, re (z * w) = re z * re w - im z * im w mul_im_ax : ∀ z w : K, im (z * w) = re z * im w + im z * re w conj_re_ax : ∀ z : K, re (conj z) = re z conj_im_ax : ∀ z : K, im (conj z) = -im z conj_I_ax : conj I = -I norm_sq_eq_def_ax : ∀ z : K, ‖z‖ ^ 2 = re z * re z + im z * im z mul_im_I_ax : ∀ z : K, im z * im I = im z [toPartialOrder : PartialOrder K] le_iff_re_im {z w : K} : z ≤ w ↔ re z ≤ re w ∧ im z = im w -- note we cannot put this in the `extends` clause [toDecidableEq : DecidableEq K] #align is_R_or_C RCLike scoped[ComplexOrder] attribute [instance 100] RCLike.toPartialOrder attribute [instance 100] RCLike.toDecidableEq end variable {K E : Type*} [RCLike K] namespace RCLike open ComplexConjugate @[coe] abbrev ofReal : ℝ → K := Algebra.cast noncomputable instance (priority := 900) algebraMapCoe : CoeTC ℝ K := ⟨ofReal⟩ #align is_R_or_C.algebra_map_coe RCLike.algebraMapCoe theorem ofReal_alg (x : ℝ) : (x : K) = x • (1 : K) := Algebra.algebraMap_eq_smul_one x #align is_R_or_C.of_real_alg RCLike.ofReal_alg theorem real_smul_eq_coe_mul (r : ℝ) (z : K) : r • z = (r : K) * z := Algebra.smul_def r z #align is_R_or_C.real_smul_eq_coe_mul RCLike.real_smul_eq_coe_mul theorem real_smul_eq_coe_smul [AddCommGroup E] [Module K E] [Module ℝ E] [IsScalarTower ℝ K E] (r : ℝ) (x : E) : r • x = (r : K) • x := by rw [RCLike.ofReal_alg, smul_one_smul] #align is_R_or_C.real_smul_eq_coe_smul RCLike.real_smul_eq_coe_smul theorem algebraMap_eq_ofReal : ⇑(algebraMap ℝ K) = ofReal := rfl #align is_R_or_C.algebra_map_eq_of_real RCLike.algebraMap_eq_ofReal @[simp, rclike_simps] theorem re_add_im (z : K) : (re z : K) + im z * I = z := RCLike.re_add_im_ax z #align is_R_or_C.re_add_im RCLike.re_add_im @[simp, norm_cast, rclike_simps] theorem ofReal_re : ∀ r : ℝ, re (r : K) = r := RCLike.ofReal_re_ax #align is_R_or_C.of_real_re RCLike.ofReal_re @[simp, norm_cast, rclike_simps] theorem ofReal_im : ∀ r : ℝ, im (r : K) = 0 := RCLike.ofReal_im_ax #align is_R_or_C.of_real_im RCLike.ofReal_im @[simp, rclike_simps] theorem mul_re : ∀ z w : K, re (z * w) = re z * re w - im z * im w := RCLike.mul_re_ax #align is_R_or_C.mul_re RCLike.mul_re @[simp, rclike_simps] theorem mul_im : ∀ z w : K, im (z * w) = re z * im w + im z * re w := RCLike.mul_im_ax #align is_R_or_C.mul_im RCLike.mul_im theorem ext_iff {z w : K} : z = w ↔ re z = re w ∧ im z = im w := ⟨fun h => h ▸ ⟨rfl, rfl⟩, fun ⟨h₁, h₂⟩ => re_add_im z ▸ re_add_im w ▸ h₁ ▸ h₂ ▸ rfl⟩ #align is_R_or_C.ext_iff RCLike.ext_iff theorem ext {z w : K} (hre : re z = re w) (him : im z = im w) : z = w := ext_iff.2 ⟨hre, him⟩ #align is_R_or_C.ext RCLike.ext @[norm_cast] theorem ofReal_zero : ((0 : ℝ) : K) = 0 := algebraMap.coe_zero #align is_R_or_C.of_real_zero RCLike.ofReal_zero @[rclike_simps] theorem zero_re' : re (0 : K) = (0 : ℝ) := map_zero re #align is_R_or_C.zero_re' RCLike.zero_re' @[norm_cast] theorem ofReal_one : ((1 : ℝ) : K) = 1 := map_one (algebraMap ℝ K) #align is_R_or_C.of_real_one RCLike.ofReal_one @[simp, rclike_simps] theorem one_re : re (1 : K) = 1 := by rw [← ofReal_one, ofReal_re] #align is_R_or_C.one_re RCLike.one_re @[simp, rclike_simps] theorem one_im : im (1 : K) = 0 := by rw [← ofReal_one, ofReal_im] #align is_R_or_C.one_im RCLike.one_im theorem ofReal_injective : Function.Injective ((↑) : ℝ → K) := (algebraMap ℝ K).injective #align is_R_or_C.of_real_injective RCLike.ofReal_injective @[norm_cast] theorem ofReal_inj {z w : ℝ} : (z : K) = (w : K) ↔ z = w := algebraMap.coe_inj #align is_R_or_C.of_real_inj RCLike.ofReal_inj -- replaced by `RCLike.ofNat_re` #noalign is_R_or_C.bit0_re #noalign is_R_or_C.bit1_re -- replaced by `RCLike.ofNat_im` #noalign is_R_or_C.bit0_im #noalign is_R_or_C.bit1_im theorem ofReal_eq_zero {x : ℝ} : (x : K) = 0 ↔ x = 0 := algebraMap.lift_map_eq_zero_iff x #align is_R_or_C.of_real_eq_zero RCLike.ofReal_eq_zero theorem ofReal_ne_zero {x : ℝ} : (x : K) ≠ 0 ↔ x ≠ 0 := ofReal_eq_zero.not #align is_R_or_C.of_real_ne_zero RCLike.ofReal_ne_zero @[simp, rclike_simps, norm_cast] theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : K) = r + s := algebraMap.coe_add _ _ #align is_R_or_C.of_real_add RCLike.ofReal_add -- replaced by `RCLike.ofReal_ofNat` #noalign is_R_or_C.of_real_bit0 #noalign is_R_or_C.of_real_bit1 @[simp, norm_cast, rclike_simps] theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : K) = -r := algebraMap.coe_neg r #align is_R_or_C.of_real_neg RCLike.ofReal_neg @[simp, norm_cast, rclike_simps] theorem ofReal_sub (r s : ℝ) : ((r - s : ℝ) : K) = r - s := map_sub (algebraMap ℝ K) r s #align is_R_or_C.of_real_sub RCLike.ofReal_sub @[simp, rclike_simps, norm_cast] theorem ofReal_sum {α : Type*} (s : Finset α) (f : α → ℝ) : ((∑ i ∈ s, f i : ℝ) : K) = ∑ i ∈ s, (f i : K) := map_sum (algebraMap ℝ K) _ _ #align is_R_or_C.of_real_sum RCLike.ofReal_sum @[simp, rclike_simps, norm_cast] theorem ofReal_finsupp_sum {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) : ((f.sum fun a b => g a b : ℝ) : K) = f.sum fun a b => (g a b : K) := map_finsupp_sum (algebraMap ℝ K) f g #align is_R_or_C.of_real_finsupp_sum RCLike.ofReal_finsupp_sum @[simp, norm_cast, rclike_simps] theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : K) = r * s := algebraMap.coe_mul _ _ #align is_R_or_C.of_real_mul RCLike.ofReal_mul @[simp, norm_cast, rclike_simps] theorem ofReal_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : K) = (r : K) ^ n := map_pow (algebraMap ℝ K) r n #align is_R_or_C.of_real_pow RCLike.ofReal_pow @[simp, rclike_simps, norm_cast] theorem ofReal_prod {α : Type*} (s : Finset α) (f : α → ℝ) : ((∏ i ∈ s, f i : ℝ) : K) = ∏ i ∈ s, (f i : K) := map_prod (algebraMap ℝ K) _ _ #align is_R_or_C.of_real_prod RCLike.ofReal_prod @[simp, rclike_simps, norm_cast] theorem ofReal_finsupp_prod {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) : ((f.prod fun a b => g a b : ℝ) : K) = f.prod fun a b => (g a b : K) := map_finsupp_prod _ f g #align is_R_or_C.of_real_finsupp_prod RCLike.ofReal_finsupp_prod @[simp, norm_cast, rclike_simps] theorem real_smul_ofReal (r x : ℝ) : r • (x : K) = (r : K) * (x : K) := real_smul_eq_coe_mul _ _ #align is_R_or_C.real_smul_of_real RCLike.real_smul_ofReal @[rclike_simps] theorem re_ofReal_mul (r : ℝ) (z : K) : re (↑r * z) = r * re z := by simp only [mul_re, ofReal_im, zero_mul, ofReal_re, sub_zero] #align is_R_or_C.of_real_mul_re RCLike.re_ofReal_mul @[rclike_simps] theorem im_ofReal_mul (r : ℝ) (z : K) : im (↑r * z) = r * im z := by simp only [add_zero, ofReal_im, zero_mul, ofReal_re, mul_im] #align is_R_or_C.of_real_mul_im RCLike.im_ofReal_mul @[rclike_simps] theorem smul_re (r : ℝ) (z : K) : re (r • z) = r * re z := by rw [real_smul_eq_coe_mul, re_ofReal_mul] #align is_R_or_C.smul_re RCLike.smul_re @[rclike_simps] theorem smul_im (r : ℝ) (z : K) : im (r • z) = r * im z := by rw [real_smul_eq_coe_mul, im_ofReal_mul] #align is_R_or_C.smul_im RCLike.smul_im @[simp, norm_cast, rclike_simps] theorem norm_ofReal (r : ℝ) : ‖(r : K)‖ = |r| := norm_algebraMap' K r #align is_R_or_C.norm_of_real RCLike.norm_ofReal -- see Note [lower instance priority] instance (priority := 100) charZero_rclike : CharZero K := (RingHom.charZero_iff (algebraMap ℝ K).injective).1 inferInstance set_option linter.uppercaseLean3 false in #align is_R_or_C.char_zero_R_or_C RCLike.charZero_rclike @[simp, rclike_simps] theorem I_re : re (I : K) = 0 := I_re_ax set_option linter.uppercaseLean3 false in #align is_R_or_C.I_re RCLike.I_re @[simp, rclike_simps] theorem I_im (z : K) : im z * im (I : K) = im z := mul_im_I_ax z set_option linter.uppercaseLean3 false in #align is_R_or_C.I_im RCLike.I_im @[simp, rclike_simps] theorem I_im' (z : K) : im (I : K) * im z = im z := by rw [mul_comm, I_im] set_option linter.uppercaseLean3 false in #align is_R_or_C.I_im' RCLike.I_im' @[rclike_simps] -- porting note (#10618): was `simp` theorem I_mul_re (z : K) : re (I * z) = -im z := by simp only [I_re, zero_sub, I_im', zero_mul, mul_re] set_option linter.uppercaseLean3 false in #align is_R_or_C.I_mul_re RCLike.I_mul_re theorem I_mul_I : (I : K) = 0 ∨ (I : K) * I = -1 := I_mul_I_ax set_option linter.uppercaseLean3 false in #align is_R_or_C.I_mul_I RCLike.I_mul_I variable (𝕜) in lemma I_eq_zero_or_im_I_eq_one : (I : K) = 0 ∨ im (I : K) = 1 := I_mul_I (K := K) |>.imp_right fun h ↦ by simpa [h] using (I_mul_re (I : K)).symm @[simp, rclike_simps] theorem conj_re (z : K) : re (conj z) = re z := RCLike.conj_re_ax z #align is_R_or_C.conj_re RCLike.conj_re @[simp, rclike_simps] theorem conj_im (z : K) : im (conj z) = -im z := RCLike.conj_im_ax z #align is_R_or_C.conj_im RCLike.conj_im @[simp, rclike_simps] theorem conj_I : conj (I : K) = -I := RCLike.conj_I_ax set_option linter.uppercaseLean3 false in #align is_R_or_C.conj_I RCLike.conj_I @[simp, rclike_simps] theorem conj_ofReal (r : ℝ) : conj (r : K) = (r : K) := by rw [ext_iff] simp only [ofReal_im, conj_im, eq_self_iff_true, conj_re, and_self_iff, neg_zero] #align is_R_or_C.conj_of_real RCLike.conj_ofReal -- replaced by `RCLike.conj_ofNat` #noalign is_R_or_C.conj_bit0 #noalign is_R_or_C.conj_bit1 theorem conj_nat_cast (n : ℕ) : conj (n : K) = n := map_natCast _ _ -- See note [no_index around OfNat.ofNat] theorem conj_ofNat (n : ℕ) [n.AtLeastTwo] : conj (no_index (OfNat.ofNat n : K)) = OfNat.ofNat n := map_ofNat _ _ @[rclike_simps] -- Porting note (#10618): was a `simp` but `simp` can prove it theorem conj_neg_I : conj (-I) = (I : K) := by rw [map_neg, conj_I, neg_neg] set_option linter.uppercaseLean3 false in #align is_R_or_C.conj_neg_I RCLike.conj_neg_I theorem conj_eq_re_sub_im (z : K) : conj z = re z - im z * I := (congr_arg conj (re_add_im z).symm).trans <| by rw [map_add, map_mul, conj_I, conj_ofReal, conj_ofReal, mul_neg, sub_eq_add_neg] #align is_R_or_C.conj_eq_re_sub_im RCLike.conj_eq_re_sub_im theorem sub_conj (z : K) : z - conj z = 2 * im z * I := calc z - conj z = re z + im z * I - (re z - im z * I) := by rw [re_add_im, ← conj_eq_re_sub_im] _ = 2 * im z * I := by rw [add_sub_sub_cancel, ← two_mul, mul_assoc] #align is_R_or_C.sub_conj RCLike.sub_conj @[rclike_simps] theorem conj_smul (r : ℝ) (z : K) : conj (r • z) = r • conj z := by rw [conj_eq_re_sub_im, conj_eq_re_sub_im, smul_re, smul_im, ofReal_mul, ofReal_mul, real_smul_eq_coe_mul r (_ - _), mul_sub, mul_assoc] #align is_R_or_C.conj_smul RCLike.conj_smul theorem add_conj (z : K) : z + conj z = 2 * re z := calc z + conj z = re z + im z * I + (re z - im z * I) := by rw [re_add_im, conj_eq_re_sub_im] _ = 2 * re z := by rw [add_add_sub_cancel, two_mul] #align is_R_or_C.add_conj RCLike.add_conj theorem re_eq_add_conj (z : K) : ↑(re z) = (z + conj z) / 2 := by rw [add_conj, mul_div_cancel_left₀ (re z : K) two_ne_zero] #align is_R_or_C.re_eq_add_conj RCLike.re_eq_add_conj theorem im_eq_conj_sub (z : K) : ↑(im z) = I * (conj z - z) / 2 := by rw [← neg_inj, ← ofReal_neg, ← I_mul_re, re_eq_add_conj, map_mul, conj_I, ← neg_div, ← mul_neg, neg_sub, mul_sub, neg_mul, sub_eq_add_neg] #align is_R_or_C.im_eq_conj_sub RCLike.im_eq_conj_sub open List in theorem is_real_TFAE (z : K) : TFAE [conj z = z, ∃ r : ℝ, (r : K) = z, ↑(re z) = z, im z = 0] := by tfae_have 1 → 4 · intro h rw [← @ofReal_inj K, im_eq_conj_sub, h, sub_self, mul_zero, zero_div, ofReal_zero] tfae_have 4 → 3 · intro h conv_rhs => rw [← re_add_im z, h, ofReal_zero, zero_mul, add_zero] tfae_have 3 → 2 · exact fun h => ⟨_, h⟩ tfae_have 2 → 1 · exact fun ⟨r, hr⟩ => hr ▸ conj_ofReal _ tfae_finish #align is_R_or_C.is_real_tfae RCLike.is_real_TFAE theorem conj_eq_iff_real {z : K} : conj z = z ↔ ∃ r : ℝ, z = (r : K) := ((is_real_TFAE z).out 0 1).trans <| by simp only [eq_comm] #align is_R_or_C.conj_eq_iff_real RCLike.conj_eq_iff_real theorem conj_eq_iff_re {z : K} : conj z = z ↔ (re z : K) = z := (is_real_TFAE z).out 0 2 #align is_R_or_C.conj_eq_iff_re RCLike.conj_eq_iff_re theorem conj_eq_iff_im {z : K} : conj z = z ↔ im z = 0 := (is_real_TFAE z).out 0 3 #align is_R_or_C.conj_eq_iff_im RCLike.conj_eq_iff_im @[simp] theorem star_def : (Star.star : K → K) = conj := rfl #align is_R_or_C.star_def RCLike.star_def variable (K) abbrev conjToRingEquiv : K ≃+* Kᵐᵒᵖ := starRingEquiv #align is_R_or_C.conj_to_ring_equiv RCLike.conjToRingEquiv variable {K} {z : K} def normSq : K →*₀ ℝ where toFun z := re z * re z + im z * im z map_zero' := by simp only [add_zero, mul_zero, map_zero] map_one' := by simp only [one_im, add_zero, mul_one, one_re, mul_zero] map_mul' z w := by simp only [mul_im, mul_re] ring #align is_R_or_C.norm_sq RCLike.normSq theorem normSq_apply (z : K) : normSq z = re z * re z + im z * im z := rfl #align is_R_or_C.norm_sq_apply RCLike.normSq_apply theorem norm_sq_eq_def {z : K} : ‖z‖ ^ 2 = re z * re z + im z * im z := norm_sq_eq_def_ax z #align is_R_or_C.norm_sq_eq_def RCLike.norm_sq_eq_def theorem normSq_eq_def' (z : K) : normSq z = ‖z‖ ^ 2 := norm_sq_eq_def.symm #align is_R_or_C.norm_sq_eq_def' RCLike.normSq_eq_def' @[rclike_simps] theorem normSq_zero : normSq (0 : K) = 0 := normSq.map_zero #align is_R_or_C.norm_sq_zero RCLike.normSq_zero @[rclike_simps] theorem normSq_one : normSq (1 : K) = 1 := normSq.map_one #align is_R_or_C.norm_sq_one RCLike.normSq_one theorem normSq_nonneg (z : K) : 0 ≤ normSq z := add_nonneg (mul_self_nonneg _) (mul_self_nonneg _) #align is_R_or_C.norm_sq_nonneg RCLike.normSq_nonneg @[rclike_simps] -- porting note (#10618): was `simp` theorem normSq_eq_zero {z : K} : normSq z = 0 ↔ z = 0 := map_eq_zero _ #align is_R_or_C.norm_sq_eq_zero RCLike.normSq_eq_zero @[simp, rclike_simps] theorem normSq_pos {z : K} : 0 < normSq z ↔ z ≠ 0 := by rw [lt_iff_le_and_ne, Ne, eq_comm]; simp [normSq_nonneg] #align is_R_or_C.norm_sq_pos RCLike.normSq_pos @[simp, rclike_simps] theorem normSq_neg (z : K) : normSq (-z) = normSq z := by simp only [normSq_eq_def', norm_neg] #align is_R_or_C.norm_sq_neg RCLike.normSq_neg @[simp, rclike_simps] theorem normSq_conj (z : K) : normSq (conj z) = normSq z := by simp only [normSq_apply, neg_mul, mul_neg, neg_neg, rclike_simps] #align is_R_or_C.norm_sq_conj RCLike.normSq_conj @[rclike_simps] -- porting note (#10618): was `simp` theorem normSq_mul (z w : K) : normSq (z * w) = normSq z * normSq w := map_mul _ z w #align is_R_or_C.norm_sq_mul RCLike.normSq_mul theorem normSq_add (z w : K) : normSq (z + w) = normSq z + normSq w + 2 * re (z * conj w) := by simp only [normSq_apply, map_add, rclike_simps] ring #align is_R_or_C.norm_sq_add RCLike.normSq_add theorem re_sq_le_normSq (z : K) : re z * re z ≤ normSq z := le_add_of_nonneg_right (mul_self_nonneg _) #align is_R_or_C.re_sq_le_norm_sq RCLike.re_sq_le_normSq theorem im_sq_le_normSq (z : K) : im z * im z ≤ normSq z := le_add_of_nonneg_left (mul_self_nonneg _) #align is_R_or_C.im_sq_le_norm_sq RCLike.im_sq_le_normSq theorem mul_conj (z : K) : z * conj z = ‖z‖ ^ 2 := by apply ext <;> simp [← ofReal_pow, norm_sq_eq_def, mul_comm] #align is_R_or_C.mul_conj RCLike.mul_conj theorem conj_mul (z : K) : conj z * z = ‖z‖ ^ 2 := by rw [mul_comm, mul_conj] #align is_R_or_C.conj_mul RCLike.conj_mul lemma inv_eq_conj (hz : ‖z‖ = 1) : z⁻¹ = conj z := inv_eq_of_mul_eq_one_left $ by simp_rw [conj_mul, hz, algebraMap.coe_one, one_pow] theorem normSq_sub (z w : K) : normSq (z - w) = normSq z + normSq w - 2 * re (z * conj w) := by simp only [normSq_add, sub_eq_add_neg, map_neg, mul_neg, normSq_neg, map_neg] #align is_R_or_C.norm_sq_sub RCLike.normSq_sub theorem sqrt_normSq_eq_norm {z : K} : √(normSq z) = ‖z‖ := by rw [normSq_eq_def', Real.sqrt_sq (norm_nonneg _)] #align is_R_or_C.sqrt_norm_sq_eq_norm RCLike.sqrt_normSq_eq_norm @[simp, norm_cast, rclike_simps] theorem ofReal_inv (r : ℝ) : ((r⁻¹ : ℝ) : K) = (r : K)⁻¹ := map_inv₀ _ r #align is_R_or_C.of_real_inv RCLike.ofReal_inv theorem inv_def (z : K) : z⁻¹ = conj z * ((‖z‖ ^ 2)⁻¹ : ℝ) := by rcases eq_or_ne z 0 with (rfl | h₀) · simp · apply inv_eq_of_mul_eq_one_right rw [← mul_assoc, mul_conj, ofReal_inv, ofReal_pow, mul_inv_cancel] simpa #align is_R_or_C.inv_def RCLike.inv_def @[simp, rclike_simps] theorem inv_re (z : K) : re z⁻¹ = re z / normSq z := by rw [inv_def, normSq_eq_def', mul_comm, re_ofReal_mul, conj_re, div_eq_inv_mul] #align is_R_or_C.inv_re RCLike.inv_re @[simp, rclike_simps] theorem inv_im (z : K) : im z⁻¹ = -im z / normSq z := by rw [inv_def, normSq_eq_def', mul_comm, im_ofReal_mul, conj_im, div_eq_inv_mul] #align is_R_or_C.inv_im RCLike.inv_im theorem div_re (z w : K) : re (z / w) = re z * re w / normSq w + im z * im w / normSq w := by simp only [div_eq_mul_inv, mul_assoc, sub_eq_add_neg, neg_mul, mul_neg, neg_neg, map_neg, rclike_simps] #align is_R_or_C.div_re RCLike.div_re theorem div_im (z w : K) : im (z / w) = im z * re w / normSq w - re z * im w / normSq w := by simp only [div_eq_mul_inv, mul_assoc, sub_eq_add_neg, add_comm, neg_mul, mul_neg, map_neg, rclike_simps] #align is_R_or_C.div_im RCLike.div_im @[rclike_simps] -- porting note (#10618): was `simp` theorem conj_inv (x : K) : conj x⁻¹ = (conj x)⁻¹ := star_inv' _ #align is_R_or_C.conj_inv RCLike.conj_inv lemma conj_div (x y : K) : conj (x / y) = conj x / conj y := map_div' conj conj_inv _ _ --TODO: Do we rather want the map as an explicit definition? lemma exists_norm_eq_mul_self (x : K) : ∃ c, ‖c‖ = 1 ∧ ↑‖x‖ = c * x := by obtain rfl | hx := eq_or_ne x 0 · exact ⟨1, by simp⟩ · exact ⟨‖x‖ / x, by simp [norm_ne_zero_iff.2, hx]⟩ lemma exists_norm_mul_eq_self (x : K) : ∃ c, ‖c‖ = 1 ∧ c * ‖x‖ = x := by obtain rfl | hx := eq_or_ne x 0 · exact ⟨1, by simp⟩ · exact ⟨x / ‖x‖, by simp [norm_ne_zero_iff.2, hx]⟩ @[simp, norm_cast, rclike_simps] theorem ofReal_div (r s : ℝ) : ((r / s : ℝ) : K) = r / s := map_div₀ (algebraMap ℝ K) r s #align is_R_or_C.of_real_div RCLike.ofReal_div theorem div_re_ofReal {z : K} {r : ℝ} : re (z / r) = re z / r := by rw [div_eq_inv_mul, div_eq_inv_mul, ← ofReal_inv, re_ofReal_mul] #align is_R_or_C.div_re_of_real RCLike.div_re_ofReal @[simp, norm_cast, rclike_simps] theorem ofReal_zpow (r : ℝ) (n : ℤ) : ((r ^ n : ℝ) : K) = (r : K) ^ n := map_zpow₀ (algebraMap ℝ K) r n #align is_R_or_C.of_real_zpow RCLike.ofReal_zpow theorem I_mul_I_of_nonzero : (I : K) ≠ 0 → (I : K) * I = -1 := I_mul_I_ax.resolve_left set_option linter.uppercaseLean3 false in #align is_R_or_C.I_mul_I_of_nonzero RCLike.I_mul_I_of_nonzero @[simp, rclike_simps] theorem inv_I : (I : K)⁻¹ = -I := by by_cases h : (I : K) = 0 · simp [h] · field_simp [I_mul_I_of_nonzero h] set_option linter.uppercaseLean3 false in #align is_R_or_C.inv_I RCLike.inv_I @[simp, rclike_simps] theorem div_I (z : K) : z / I = -(z * I) := by rw [div_eq_mul_inv, inv_I, mul_neg] set_option linter.uppercaseLean3 false in #align is_R_or_C.div_I RCLike.div_I @[rclike_simps] -- porting note (#10618): was `simp` theorem normSq_inv (z : K) : normSq z⁻¹ = (normSq z)⁻¹ := map_inv₀ normSq z #align is_R_or_C.norm_sq_inv RCLike.normSq_inv @[rclike_simps] -- porting note (#10618): was `simp` theorem normSq_div (z w : K) : normSq (z / w) = normSq z / normSq w := map_div₀ normSq z w #align is_R_or_C.norm_sq_div RCLike.normSq_div @[rclike_simps] -- porting note (#10618): was `simp` theorem norm_conj {z : K} : ‖conj z‖ = ‖z‖ := by simp only [← sqrt_normSq_eq_norm, normSq_conj] #align is_R_or_C.norm_conj RCLike.norm_conj instance (priority := 100) : CstarRing K where norm_star_mul_self {x} := (norm_mul _ _).trans <| congr_arg (· * ‖x‖) norm_conj @[simp, rclike_simps, norm_cast] theorem ofReal_natCast (n : ℕ) : ((n : ℝ) : K) = n := map_natCast (algebraMap ℝ K) n #align is_R_or_C.of_real_nat_cast RCLike.ofReal_natCast @[simp, rclike_simps] -- Porting note: removed `norm_cast` theorem natCast_re (n : ℕ) : re (n : K) = n := by rw [← ofReal_natCast, ofReal_re] #align is_R_or_C.nat_cast_re RCLike.natCast_re @[simp, rclike_simps, norm_cast] theorem natCast_im (n : ℕ) : im (n : K) = 0 := by rw [← ofReal_natCast, ofReal_im] #align is_R_or_C.nat_cast_im RCLike.natCast_im -- See note [no_index around OfNat.ofNat] @[simp, rclike_simps] theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : re (no_index (OfNat.ofNat n) : K) = OfNat.ofNat n := natCast_re n -- See note [no_index around OfNat.ofNat] @[simp, rclike_simps] theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : im (no_index (OfNat.ofNat n) : K) = 0 := natCast_im n -- See note [no_index around OfNat.ofNat] @[simp, rclike_simps, norm_cast] theorem ofReal_ofNat (n : ℕ) [n.AtLeastTwo] : ((no_index (OfNat.ofNat n) : ℝ) : K) = OfNat.ofNat n := ofReal_natCast n theorem ofNat_mul_re (n : ℕ) [n.AtLeastTwo] (z : K) : re (OfNat.ofNat n * z) = OfNat.ofNat n * re z := by rw [← ofReal_ofNat, re_ofReal_mul] theorem ofNat_mul_im (n : ℕ) [n.AtLeastTwo] (z : K) : im (OfNat.ofNat n * z) = OfNat.ofNat n * im z := by rw [← ofReal_ofNat, im_ofReal_mul] @[simp, rclike_simps, norm_cast] theorem ofReal_intCast (n : ℤ) : ((n : ℝ) : K) = n := map_intCast _ n #align is_R_or_C.of_real_int_cast RCLike.ofReal_intCast @[simp, rclike_simps] -- Porting note: removed `norm_cast` theorem intCast_re (n : ℤ) : re (n : K) = n := by rw [← ofReal_intCast, ofReal_re] #align is_R_or_C.int_cast_re RCLike.intCast_re @[simp, rclike_simps, norm_cast] theorem intCast_im (n : ℤ) : im (n : K) = 0 := by rw [← ofReal_intCast, ofReal_im] #align is_R_or_C.int_cast_im RCLike.intCast_im @[simp, rclike_simps, norm_cast] theorem ofReal_ratCast (n : ℚ) : ((n : ℝ) : K) = n := map_ratCast _ n #align is_R_or_C.of_real_rat_cast RCLike.ofReal_ratCast @[simp, rclike_simps] -- Porting note: removed `norm_cast` theorem ratCast_re (q : ℚ) : re (q : K) = q := by rw [← ofReal_ratCast, ofReal_re] #align is_R_or_C.rat_cast_re RCLike.ratCast_re @[simp, rclike_simps, norm_cast] theorem ratCast_im (q : ℚ) : im (q : K) = 0 := by rw [← ofReal_ratCast, ofReal_im] #align is_R_or_C.rat_cast_im RCLike.ratCast_im theorem norm_of_nonneg {r : ℝ} (h : 0 ≤ r) : ‖(r : K)‖ = r := (norm_ofReal _).trans (abs_of_nonneg h) #align is_R_or_C.norm_of_nonneg RCLike.norm_of_nonneg @[simp, rclike_simps, norm_cast] theorem norm_natCast (n : ℕ) : ‖(n : K)‖ = n := by rw [← ofReal_natCast] exact norm_of_nonneg (Nat.cast_nonneg n) #align is_R_or_C.norm_nat_cast RCLike.norm_natCast @[simp, rclike_simps] theorem norm_ofNat (n : ℕ) [n.AtLeastTwo] : ‖(no_index (OfNat.ofNat n) : K)‖ = OfNat.ofNat n := norm_natCast n variable (K) in lemma norm_nsmul [NormedAddCommGroup E] [NormedSpace K E] (n : ℕ) (x : E) : ‖n • x‖ = n • ‖x‖ := by rw [nsmul_eq_smul_cast K, norm_smul, RCLike.norm_natCast, nsmul_eq_mul] theorem mul_self_norm (z : K) : ‖z‖ * ‖z‖ = normSq z := by rw [normSq_eq_def', sq] #align is_R_or_C.mul_self_norm RCLike.mul_self_norm attribute [rclike_simps] norm_zero norm_one norm_eq_zero abs_norm norm_inv norm_div -- Porting note: removed @[simp, rclike_simps], b/c generalized to `norm_ofNat` theorem norm_two : ‖(2 : K)‖ = 2 := norm_ofNat 2 #align is_R_or_C.norm_two RCLike.norm_two theorem abs_re_le_norm (z : K) : |re z| ≤ ‖z‖ := by rw [mul_self_le_mul_self_iff (abs_nonneg _) (norm_nonneg _), abs_mul_abs_self, mul_self_norm] apply re_sq_le_normSq #align is_R_or_C.abs_re_le_norm RCLike.abs_re_le_norm theorem abs_im_le_norm (z : K) : |im z| ≤ ‖z‖ := by rw [mul_self_le_mul_self_iff (abs_nonneg _) (norm_nonneg _), abs_mul_abs_self, mul_self_norm] apply im_sq_le_normSq #align is_R_or_C.abs_im_le_norm RCLike.abs_im_le_norm theorem norm_re_le_norm (z : K) : ‖re z‖ ≤ ‖z‖ := abs_re_le_norm z #align is_R_or_C.norm_re_le_norm RCLike.norm_re_le_norm theorem norm_im_le_norm (z : K) : ‖im z‖ ≤ ‖z‖ := abs_im_le_norm z #align is_R_or_C.norm_im_le_norm RCLike.norm_im_le_norm theorem re_le_norm (z : K) : re z ≤ ‖z‖ := (abs_le.1 (abs_re_le_norm z)).2 #align is_R_or_C.re_le_norm RCLike.re_le_norm theorem im_le_norm (z : K) : im z ≤ ‖z‖ := (abs_le.1 (abs_im_le_norm _)).2 #align is_R_or_C.im_le_norm RCLike.im_le_norm theorem im_eq_zero_of_le {a : K} (h : ‖a‖ ≤ re a) : im a = 0 := by simpa only [mul_self_norm a, normSq_apply, self_eq_add_right, mul_self_eq_zero] using congr_arg (fun z => z * z) ((re_le_norm a).antisymm h) #align is_R_or_C.im_eq_zero_of_le RCLike.im_eq_zero_of_le theorem re_eq_self_of_le {a : K} (h : ‖a‖ ≤ re a) : (re a : K) = a := by rw [← conj_eq_iff_re, conj_eq_iff_im, im_eq_zero_of_le h] #align is_R_or_C.re_eq_self_of_le RCLike.re_eq_self_of_le open IsAbsoluteValue
Mathlib/Analysis/RCLike/Basic.lean
758
760
theorem abs_re_div_norm_le_one (z : K) : |re z / ‖z‖| ≤ 1 := by
rw [abs_div, abs_norm] exact div_le_one_of_le (abs_re_le_norm _) (norm_nonneg _)
import Mathlib.Topology.Order.ProjIcc import Mathlib.Topology.CompactOpen import Mathlib.Topology.UnitInterval #align_import topology.path_connected from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Topology Filter unitInterval Set Function variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {x y z : X} {ι : Type*} -- porting note (#5171): removed @[nolint has_nonempty_instance] structure Path (x y : X) extends C(I, X) where source' : toFun 0 = x target' : toFun 1 = y #align path Path instance Path.funLike : FunLike (Path x y) I X where coe := fun γ ↦ ⇑γ.toContinuousMap coe_injective' := fun γ₁ γ₂ h => by simp only [DFunLike.coe_fn_eq] at h cases γ₁; cases γ₂; congr -- Porting note (#10754): added this instance so that we can use `FunLike.coe` for `CoeFun` -- this also fixed very strange `simp` timeout issues instance Path.continuousMapClass : ContinuousMapClass (Path x y) I X where map_continuous := fun γ => show Continuous γ.toContinuousMap by continuity -- Porting note: not necessary in light of the instance above @[ext] protected theorem Path.ext : ∀ {γ₁ γ₂ : Path x y}, (γ₁ : I → X) = γ₂ → γ₁ = γ₂ := by rintro ⟨⟨x, h11⟩, h12, h13⟩ ⟨⟨x, h21⟩, h22, h23⟩ rfl rfl #align path.ext Path.ext namespace Path @[simp] theorem coe_mk_mk (f : I → X) (h₁) (h₂ : f 0 = x) (h₃ : f 1 = y) : ⇑(mk ⟨f, h₁⟩ h₂ h₃ : Path x y) = f := rfl #align path.coe_mk Path.coe_mk_mk -- Porting note: the name `Path.coe_mk` better refers to a new lemma below variable (γ : Path x y) @[continuity] protected theorem continuous : Continuous γ := γ.continuous_toFun #align path.continuous Path.continuous @[simp] protected theorem source : γ 0 = x := γ.source' #align path.source Path.source @[simp] protected theorem target : γ 1 = y := γ.target' #align path.target Path.target def simps.apply : I → X := γ #align path.simps.apply Path.simps.apply initialize_simps_projections Path (toFun → simps.apply, -toContinuousMap) @[simp] theorem coe_toContinuousMap : ⇑γ.toContinuousMap = γ := rfl #align path.coe_to_continuous_map Path.coe_toContinuousMap -- Porting note: this is needed because of the `Path.continuousMapClass` instance @[simp] theorem coe_mk : ⇑(γ : C(I, X)) = γ := rfl instance hasUncurryPath {X α : Type*} [TopologicalSpace X] {x y : α → X} : HasUncurry (∀ a : α, Path (x a) (y a)) (α × I) X := ⟨fun φ p => φ p.1 p.2⟩ #align path.has_uncurry_path Path.hasUncurryPath @[refl, simps] def refl (x : X) : Path x x where toFun _t := x continuous_toFun := continuous_const source' := rfl target' := rfl #align path.refl Path.refl @[simp] theorem refl_range {a : X} : range (Path.refl a) = {a} := by simp [Path.refl, CoeFun.coe] #align path.refl_range Path.refl_range @[symm, simps] def symm (γ : Path x y) : Path y x where toFun := γ ∘ σ continuous_toFun := by continuity source' := by simpa [-Path.target] using γ.target target' := by simpa [-Path.source] using γ.source #align path.symm Path.symm @[simp]
Mathlib/Topology/Connected/PathConnected.lean
178
181
theorem symm_symm (γ : Path x y) : γ.symm.symm = γ := by
ext t show γ (σ (σ t)) = γ t rw [unitInterval.symm_symm]
import Mathlib.Algebra.CharP.Two import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.Nat.Periodic import Mathlib.Data.ZMod.Basic import Mathlib.Tactic.Monotonicity #align_import data.nat.totient from "leanprover-community/mathlib"@"5cc2dfdd3e92f340411acea4427d701dc7ed26f8" open Finset namespace Nat def totient (n : ℕ) : ℕ := ((range n).filter n.Coprime).card #align nat.totient Nat.totient @[inherit_doc] scoped notation "φ" => Nat.totient @[simp] theorem totient_zero : φ 0 = 0 := rfl #align nat.totient_zero Nat.totient_zero @[simp] theorem totient_one : φ 1 = 1 := rfl #align nat.totient_one Nat.totient_one theorem totient_eq_card_coprime (n : ℕ) : φ n = ((range n).filter n.Coprime).card := rfl #align nat.totient_eq_card_coprime Nat.totient_eq_card_coprime theorem totient_eq_card_lt_and_coprime (n : ℕ) : φ n = Nat.card { m | m < n ∧ n.Coprime m } := by let e : { m | m < n ∧ n.Coprime m } ≃ Finset.filter n.Coprime (Finset.range n) := { toFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩ invFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩ left_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] right_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] } rw [totient_eq_card_coprime, card_congr e, card_eq_fintype_card, Fintype.card_coe] #align nat.totient_eq_card_lt_and_coprime Nat.totient_eq_card_lt_and_coprime theorem totient_le (n : ℕ) : φ n ≤ n := ((range n).card_filter_le _).trans_eq (card_range n) #align nat.totient_le Nat.totient_le theorem totient_lt (n : ℕ) (hn : 1 < n) : φ n < n := (card_lt_card (filter_ssubset.2 ⟨0, by simp [hn.ne', pos_of_gt hn]⟩)).trans_eq (card_range n) #align nat.totient_lt Nat.totient_lt @[simp] theorem totient_eq_zero : ∀ {n : ℕ}, φ n = 0 ↔ n = 0 | 0 => by decide | n + 1 => suffices ∃ x < n + 1, (n + 1).gcd x = 1 by simpa [totient, filter_eq_empty_iff] ⟨1 % (n + 1), mod_lt _ n.succ_pos, by rw [gcd_comm, ← gcd_rec, gcd_one_right]⟩ @[simp] theorem totient_pos {n : ℕ} : 0 < φ n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.totient_pos Nat.totient_pos theorem filter_coprime_Ico_eq_totient (a n : ℕ) : ((Ico n (n + a)).filter (Coprime a)).card = totient a := by rw [totient, filter_Ico_card_eq_of_periodic, count_eq_card_filter_range] exact periodic_coprime a #align nat.filter_coprime_Ico_eq_totient Nat.filter_coprime_Ico_eq_totient theorem Ico_filter_coprime_le {a : ℕ} (k n : ℕ) (a_pos : 0 < a) : ((Ico k (k + n)).filter (Coprime a)).card ≤ totient a * (n / a + 1) := by conv_lhs => rw [← Nat.mod_add_div n a] induction' n / a with i ih · rw [← filter_coprime_Ico_eq_totient a k] simp only [add_zero, mul_one, mul_zero, le_of_lt (mod_lt n a_pos), Nat.zero_eq, zero_add] -- Porting note: below line was `mono` refine Finset.card_mono ?_ refine monotone_filter_left a.Coprime ?_ simp only [Finset.le_eq_subset] exact Ico_subset_Ico rfl.le (add_le_add_left (le_of_lt (mod_lt n a_pos)) k) simp only [mul_succ] simp_rw [← add_assoc] at ih ⊢ calc (filter a.Coprime (Ico k (k + n % a + a * i + a))).card = (filter a.Coprime (Ico k (k + n % a + a * i) ∪ Ico (k + n % a + a * i) (k + n % a + a * i + a))).card := by congr rw [Ico_union_Ico_eq_Ico] · rw [add_assoc] exact le_self_add exact le_self_add _ ≤ (filter a.Coprime (Ico k (k + n % a + a * i))).card + a.totient := by rw [filter_union, ← filter_coprime_Ico_eq_totient a (k + n % a + a * i)] apply card_union_le _ ≤ a.totient * i + a.totient + a.totient := add_le_add_right ih (totient a) #align nat.Ico_filter_coprime_le Nat.Ico_filter_coprime_le open ZMod @[simp] theorem _root_.ZMod.card_units_eq_totient (n : ℕ) [NeZero n] [Fintype (ZMod n)ˣ] : Fintype.card (ZMod n)ˣ = φ n := calc Fintype.card (ZMod n)ˣ = Fintype.card { x : ZMod n // x.val.Coprime n } := Fintype.card_congr ZMod.unitsEquivCoprime _ = φ n := by obtain ⟨m, rfl⟩ : ∃ m, n = m + 1 := exists_eq_succ_of_ne_zero NeZero.out simp only [totient, Finset.card_eq_sum_ones, Fintype.card_subtype, Finset.sum_filter, ← Fin.sum_univ_eq_sum_range, @Nat.coprime_comm (m + 1)] rfl #align zmod.card_units_eq_totient ZMod.card_units_eq_totient theorem totient_even {n : ℕ} (hn : 2 < n) : Even n.totient := by haveI : Fact (1 < n) := ⟨one_lt_two.trans hn⟩ haveI : NeZero n := NeZero.of_gt hn suffices 2 = orderOf (-1 : (ZMod n)ˣ) by rw [← ZMod.card_units_eq_totient, even_iff_two_dvd, this] exact orderOf_dvd_card rw [← orderOf_units, Units.coe_neg_one, orderOf_neg_one, ringChar.eq (ZMod n) n, if_neg hn.ne'] #align nat.totient_even Nat.totient_even theorem totient_mul {m n : ℕ} (h : m.Coprime n) : φ (m * n) = φ m * φ n := if hmn0 : m * n = 0 then by cases' Nat.mul_eq_zero.1 hmn0 with h h <;> simp only [totient_zero, mul_zero, zero_mul, h] else by haveI : NeZero (m * n) := ⟨hmn0⟩ haveI : NeZero m := ⟨left_ne_zero_of_mul hmn0⟩ haveI : NeZero n := ⟨right_ne_zero_of_mul hmn0⟩ simp only [← ZMod.card_units_eq_totient] rw [Fintype.card_congr (Units.mapEquiv (ZMod.chineseRemainder h).toMulEquiv).toEquiv, Fintype.card_congr (@MulEquiv.prodUnits (ZMod m) (ZMod n) _ _).toEquiv, Fintype.card_prod] #align nat.totient_mul Nat.totient_mul theorem totient_div_of_dvd {n d : ℕ} (hnd : d ∣ n) : φ (n / d) = (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by rcases d.eq_zero_or_pos with (rfl | hd0); · simp [eq_zero_of_zero_dvd hnd] rcases hnd with ⟨x, rfl⟩ rw [Nat.mul_div_cancel_left x hd0] apply Finset.card_bij fun k _ => d * k · simp only [mem_filter, mem_range, and_imp, Coprime] refine fun a ha1 ha2 => ⟨(mul_lt_mul_left hd0).2 ha1, ?_⟩ rw [gcd_mul_left, ha2, mul_one] · simp [hd0.ne'] · simp only [mem_filter, mem_range, exists_prop, and_imp] refine fun b hb1 hb2 => ?_ have : d ∣ b := by rw [← hb2] apply gcd_dvd_right rcases this with ⟨q, rfl⟩ refine ⟨q, ⟨⟨(mul_lt_mul_left hd0).1 hb1, ?_⟩, rfl⟩⟩ rwa [gcd_mul_left, mul_right_eq_self_iff hd0] at hb2 #align nat.totient_div_of_dvd Nat.totient_div_of_dvd theorem sum_totient (n : ℕ) : n.divisors.sum φ = n := by rcases n.eq_zero_or_pos with (rfl | hn) · simp rw [← sum_div_divisors n φ] have : n = ∑ d ∈ n.divisors, (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by nth_rw 1 [← card_range n] refine card_eq_sum_card_fiberwise fun x _ => mem_divisors.2 ⟨?_, hn.ne'⟩ apply gcd_dvd_left nth_rw 3 [this] exact sum_congr rfl fun x hx => totient_div_of_dvd (dvd_of_mem_divisors hx) #align nat.sum_totient Nat.sum_totient theorem sum_totient' (n : ℕ) : (∑ m ∈ (range n.succ).filter (· ∣ n), φ m) = n := by convert sum_totient _ using 1 simp only [Nat.divisors, sum_filter, range_eq_Ico] rw [sum_eq_sum_Ico_succ_bot] <;> simp #align nat.sum_totient' Nat.sum_totient' theorem totient_prime_pow_succ {p : ℕ} (hp : p.Prime) (n : ℕ) : φ (p ^ (n + 1)) = p ^ n * (p - 1) := calc φ (p ^ (n + 1)) = ((range (p ^ (n + 1))).filter (Coprime (p ^ (n + 1)))).card := totient_eq_card_coprime _ _ = (range (p ^ (n + 1)) \ (range (p ^ n)).image (· * p)).card := (congr_arg card (by rw [sdiff_eq_filter] apply filter_congr simp only [mem_range, mem_filter, coprime_pow_left_iff n.succ_pos, mem_image, not_exists, hp.coprime_iff_not_dvd] intro a ha constructor · intro hap b h; rcases h with ⟨_, rfl⟩ exact hap (dvd_mul_left _ _) · rintro h ⟨b, rfl⟩ rw [pow_succ'] at ha exact h b ⟨lt_of_mul_lt_mul_left ha (zero_le _), mul_comm _ _⟩)) _ = _ := by have h1 : Function.Injective (· * p) := mul_left_injective₀ hp.ne_zero have h2 : (range (p ^ n)).image (· * p) ⊆ range (p ^ (n + 1)) := fun a => by simp only [mem_image, mem_range, exists_imp] rintro b ⟨h, rfl⟩ rw [Nat.pow_succ] exact (mul_lt_mul_right hp.pos).2 h rw [card_sdiff h2, Finset.card_image_of_injective _ h1, card_range, card_range, ← one_mul (p ^ n), pow_succ', ← tsub_mul, one_mul, mul_comm] #align nat.totient_prime_pow_succ Nat.totient_prime_pow_succ
Mathlib/Data/Nat/Totient.lean
221
224
theorem totient_prime_pow {p : ℕ} (hp : p.Prime) {n : ℕ} (hn : 0 < n) : φ (p ^ n) = p ^ (n - 1) * (p - 1) := by
rcases exists_eq_succ_of_ne_zero (pos_iff_ne_zero.1 hn) with ⟨m, rfl⟩ exact totient_prime_pow_succ hp _
import Mathlib.MeasureTheory.MeasurableSpace.Defs import Mathlib.Order.Filter.CountableInter open Filter Set MeasurableSpace variable {α : Type*} (m : MeasurableSpace α) (l : Filter α) [CountableInterFilter l] {s t : Set α} def EventuallyMeasurableSpace : MeasurableSpace α where MeasurableSet' s := ∃ t, MeasurableSet t ∧ s =ᶠ[l] t measurableSet_empty := ⟨∅, MeasurableSet.empty, EventuallyEq.refl _ _ ⟩ measurableSet_compl := fun s ⟨t, ht, hts⟩ => ⟨tᶜ, ht.compl, hts.compl⟩ measurableSet_iUnion s hs := by choose t ht hts using hs exact ⟨⋃ i, t i, MeasurableSet.iUnion ht, EventuallyEq.countable_iUnion hts⟩ def EventuallyMeasurableSet (s : Set α) : Prop := @MeasurableSet _ (EventuallyMeasurableSpace m l) s variable {l m} theorem MeasurableSet.eventuallyMeasurableSet (hs : MeasurableSet s) : EventuallyMeasurableSet m l s := ⟨s, hs, EventuallyEq.refl _ _⟩ theorem EventuallyMeasurableSpace.measurable_le : m ≤ EventuallyMeasurableSpace m l := fun _ hs => hs.eventuallyMeasurableSet theorem eventuallyMeasurableSet_of_mem_filter (hs : s ∈ l) : EventuallyMeasurableSet m l s := ⟨univ, MeasurableSet.univ, eventuallyEq_univ.mpr hs⟩
Mathlib/MeasureTheory/Constructions/EventuallyMeasurable.lean
67
70
theorem EventuallyMeasurableSet.congr (ht : EventuallyMeasurableSet m l t) (hst : s =ᶠ[l] t) : EventuallyMeasurableSet m l s := by
rcases ht with ⟨t', ht', htt'⟩ exact ⟨t', ht', hst.trans htt'⟩
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks import Mathlib.Geometry.RingedSpace.LocallyRingedSpace #align_import algebraic_geometry.open_immersion.basic from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1" -- Porting note: due to `PresheafedSpace`, `SheafedSpace` and `LocallyRingedSpace` set_option linter.uppercaseLean3 false open TopologicalSpace CategoryTheory Opposite open CategoryTheory.Limits namespace AlgebraicGeometry universe v v₁ v₂ u variable {C : Type u} [Category.{v} C] class PresheafedSpace.IsOpenImmersion {X Y : PresheafedSpace C} (f : X ⟶ Y) : Prop where base_open : OpenEmbedding f.base c_iso : ∀ U : Opens X, IsIso (f.c.app (op (base_open.isOpenMap.functor.obj U))) #align algebraic_geometry.PresheafedSpace.is_open_immersion AlgebraicGeometry.PresheafedSpace.IsOpenImmersion abbrev SheafedSpace.IsOpenImmersion {X Y : SheafedSpace C} (f : X ⟶ Y) : Prop := PresheafedSpace.IsOpenImmersion f #align algebraic_geometry.SheafedSpace.is_open_immersion AlgebraicGeometry.SheafedSpace.IsOpenImmersion abbrev LocallyRingedSpace.IsOpenImmersion {X Y : LocallyRingedSpace} (f : X ⟶ Y) : Prop := SheafedSpace.IsOpenImmersion f.1 #align algebraic_geometry.LocallyRingedSpace.is_open_immersion AlgebraicGeometry.LocallyRingedSpace.IsOpenImmersion namespace PresheafedSpace.IsOpenImmersion open PresheafedSpace local notation "IsOpenImmersion" => PresheafedSpace.IsOpenImmersion attribute [instance] IsOpenImmersion.c_iso section variable {X Y : PresheafedSpace C} {f : X ⟶ Y} (H : IsOpenImmersion f) abbrev openFunctor := H.base_open.isOpenMap.functor #align algebraic_geometry.PresheafedSpace.is_open_immersion.open_functor AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.openFunctor @[simps! hom_c_app] noncomputable def isoRestrict : X ≅ Y.restrict H.base_open := PresheafedSpace.isoOfComponents (Iso.refl _) <| by symm fapply NatIso.ofComponents · intro U refine asIso (f.c.app (op (H.openFunctor.obj (unop U)))) ≪≫ X.presheaf.mapIso (eqToIso ?_) induction U using Opposite.rec' with | h U => ?_ cases U dsimp only [IsOpenMap.functor, Functor.op, Opens.map] congr 2 erw [Set.preimage_image_eq _ H.base_open.inj] rfl · intro U V i simp only [CategoryTheory.eqToIso.hom, TopCat.Presheaf.pushforwardObj_map, Category.assoc, Functor.op_map, Iso.trans_hom, asIso_hom, Functor.mapIso_hom, ← X.presheaf.map_comp] erw [f.c.naturality_assoc, ← X.presheaf.map_comp] congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict @[simp] theorem isoRestrict_hom_ofRestrict : H.isoRestrict.hom ≫ Y.ofRestrict _ = f := by -- Porting note: `ext` did not pick up `NatTrans.ext` refine PresheafedSpace.Hom.ext _ _ rfl <| NatTrans.ext _ _ <| funext fun x => ?_ simp only [isoRestrict_hom_c_app, NatTrans.comp_app, eqToHom_refl, ofRestrict_c_app, Category.assoc, whiskerRight_id'] erw [Category.comp_id, comp_c_app, f.c.naturality_assoc, ← X.presheaf.map_comp] trans f.c.app x ≫ X.presheaf.map (𝟙 _) · congr 1 · erw [X.presheaf.map_id, Category.comp_id] #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict_hom_of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict_hom_ofRestrict @[simp] theorem isoRestrict_inv_ofRestrict : H.isoRestrict.inv ≫ f = Y.ofRestrict _ := by rw [Iso.inv_comp_eq, isoRestrict_hom_ofRestrict] #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict_inv_of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict_inv_ofRestrict instance mono [H : IsOpenImmersion f] : Mono f := by rw [← H.isoRestrict_hom_ofRestrict]; apply mono_comp #align algebraic_geometry.PresheafedSpace.is_open_immersion.mono AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.mono instance comp {Z : PresheafedSpace C} (f : X ⟶ Y) [hf : IsOpenImmersion f] (g : Y ⟶ Z) [hg : IsOpenImmersion g] : IsOpenImmersion (f ≫ g) where base_open := hg.base_open.comp hf.base_open c_iso U := by generalize_proofs h dsimp only [AlgebraicGeometry.PresheafedSpace.comp_c_app, unop_op, Functor.op, comp_base, TopCat.Presheaf.pushforwardObj_obj, Opens.map_comp_obj] -- Porting note: was `apply (config := { instances := False }) ...` -- See https://github.com/leanprover/lean4/issues/2273 have : IsIso (g.c.app (op <| (h.functor).obj U)) := by have : h.functor.obj U = hg.openFunctor.obj (hf.openFunctor.obj U) := by ext1 dsimp only [IsOpenMap.functor_obj_coe] -- Porting note: slightly more hand holding here: `g ∘ f` and `fun x => g (f x)` erw [comp_base, coe_comp, show g.base ∘ f.base = fun x => g.base (f.base x) from rfl, ← Set.image_image] -- now `erw` after #13170 rw [this] infer_instance have : IsIso (f.c.app (op <| (Opens.map g.base).obj ((IsOpenMap.functor h).obj U))) := by have : (Opens.map g.base).obj (h.functor.obj U) = hf.openFunctor.obj U := by ext1 dsimp only [Opens.map_coe, IsOpenMap.functor_obj_coe, comp_base] -- Porting note: slightly more hand holding here: `g ∘ f` and `fun x => g (f x)` erw [coe_comp, show g.base ∘ f.base = fun x => g.base (f.base x) from rfl, ← Set.image_image g.base f.base, Set.preimage_image_eq _ hg.base_open.inj] -- now `erw` after #13170 rw [this] infer_instance apply IsIso.comp_isIso #align algebraic_geometry.PresheafedSpace.is_open_immersion.comp AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.comp noncomputable def invApp (U : Opens X) : X.presheaf.obj (op U) ⟶ Y.presheaf.obj (op (H.openFunctor.obj U)) := X.presheaf.map (eqToHom (by -- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]` -- See https://github.com/leanprover-community/mathlib4/issues/5026 -- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a -- structure congr; ext dsimp [openFunctor, IsOpenMap.functor] rw [Set.preimage_image_eq _ H.base_open.inj])) ≫ inv (f.c.app (op (H.openFunctor.obj U))) #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.invApp @[simp, reassoc] theorem inv_naturality {U V : (Opens X)ᵒᵖ} (i : U ⟶ V) : X.presheaf.map i ≫ H.invApp (unop V) = H.invApp (unop U) ≫ Y.presheaf.map (H.openFunctor.op.map i) := by simp only [invApp, ← Category.assoc] rw [IsIso.comp_inv_eq] -- Porting note: `simp` can't pick up `f.c.naturality` -- See https://github.com/leanprover-community/mathlib4/issues/5026 simp only [Category.assoc, ← X.presheaf.map_comp] erw [f.c.naturality] simp only [IsIso.inv_hom_id_assoc, ← X.presheaf.map_comp] erw [← X.presheaf.map_comp] congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_naturality AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.inv_naturality instance (U : Opens X) : IsIso (H.invApp U) := by delta invApp; infer_instance theorem inv_invApp (U : Opens X) : inv (H.invApp U) = f.c.app (op (H.openFunctor.obj U)) ≫ X.presheaf.map (eqToHom (by -- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]` -- See https://github.com/leanprover-community/mathlib4/issues/5026 -- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a -- structure apply congr_arg (op ·); ext dsimp [openFunctor, IsOpenMap.functor] rw [Set.preimage_image_eq _ H.base_open.inj])) := by rw [← cancel_epi (H.invApp U), IsIso.hom_inv_id] delta invApp simp [← Functor.map_comp] #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.inv_invApp @[simp, reassoc, elementwise] theorem invApp_app (U : Opens X) : H.invApp U ≫ f.c.app (op (H.openFunctor.obj U)) = X.presheaf.map (eqToHom (by -- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]` -- See https://github.com/leanprover-community/mathlib4/issues/5026 -- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a -- structure apply congr_arg (op ·); ext dsimp [openFunctor, IsOpenMap.functor] rw [Set.preimage_image_eq _ H.base_open.inj])) := by rw [invApp, Category.assoc, IsIso.inv_hom_id, Category.comp_id] #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_app_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.invApp_app @[simp, reassoc] theorem app_invApp (U : Opens Y) : f.c.app (op U) ≫ H.invApp ((Opens.map f.base).obj U) = Y.presheaf.map ((homOfLE (Set.image_preimage_subset f.base U.1)).op : op U ⟶ op (H.openFunctor.obj ((Opens.map f.base).obj U))) := by erw [← Category.assoc]; rw [IsIso.comp_inv_eq, f.c.naturality]; congr #align algebraic_geometry.PresheafedSpace.is_open_immersion.app_inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.app_invApp @[reassoc] theorem app_inv_app' (U : Opens Y) (hU : (U : Set Y) ⊆ Set.range f.base) : f.c.app (op U) ≫ H.invApp ((Opens.map f.base).obj U) = Y.presheaf.map (eqToHom (by apply le_antisymm · exact Set.image_preimage_subset f.base U.1 · rw [← SetLike.coe_subset_coe] refine LE.le.trans_eq ?_ (@Set.image_preimage_eq_inter_range _ _ f.base U.1).symm exact Set.subset_inter_iff.mpr ⟨fun _ h => h, hU⟩)).op := by erw [← Category.assoc]; rw [IsIso.comp_inv_eq, f.c.naturality]; congr #align algebraic_geometry.PresheafedSpace.is_open_immersion.app_inv_app' AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.app_inv_app' instance ofIso {X Y : PresheafedSpace C} (H : X ≅ Y) : IsOpenImmersion H.hom where base_open := (TopCat.homeoOfIso ((forget C).mapIso H)).openEmbedding -- Porting note: `inferInstance` will fail if Lean is not told that `H.hom.c` is iso c_iso _ := letI : IsIso H.hom.c := c_isIso_of_iso H.hom; inferInstance #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofIso instance (priority := 100) ofIsIso {X Y : PresheafedSpace C} (f : X ⟶ Y) [IsIso f] : IsOpenImmersion f := AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofIso (asIso f) #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_is_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofIsIso instance ofRestrict {X : TopCat} (Y : PresheafedSpace C) {f : X ⟶ Y.carrier} (hf : OpenEmbedding f) : IsOpenImmersion (Y.ofRestrict hf) where base_open := hf c_iso U := by dsimp have : (Opens.map f).obj (hf.isOpenMap.functor.obj U) = U := by ext1 exact Set.preimage_image_eq _ hf.inj convert_to IsIso (Y.presheaf.map (𝟙 _)) · congr · -- Porting note: was `apply Subsingleton.helim; rw [this]` -- See https://github.com/leanprover/lean4/issues/2273 congr · simp only [unop_op] congr apply Subsingleton.helim rw [this] · infer_instance #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofRestrict @[elementwise, simp] theorem ofRestrict_invApp {C : Type*} [Category C] (X : PresheafedSpace C) {Y : TopCat} {f : Y ⟶ TopCat.of X.carrier} (h : OpenEmbedding f) (U : Opens (X.restrict h).carrier) : (PresheafedSpace.IsOpenImmersion.ofRestrict X h).invApp U = 𝟙 _ := by delta invApp rw [IsIso.comp_inv_eq, Category.id_comp] change X.presheaf.map _ = X.presheaf.map _ congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_restrict_inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofRestrict_invApp theorem to_iso (f : X ⟶ Y) [h : IsOpenImmersion f] [h' : Epi f.base] : IsIso f := by -- Porting note: was `apply (config := { instances := False }) ...` -- See https://github.com/leanprover/lean4/issues/2273 have : ∀ (U : (Opens Y)ᵒᵖ), IsIso (f.c.app U) := by intro U have : U = op (h.openFunctor.obj ((Opens.map f.base).obj (unop U))) := by induction U using Opposite.rec' with | h U => ?_ cases U dsimp only [Functor.op, Opens.map] congr exact (Set.image_preimage_eq _ ((TopCat.epi_iff_surjective _).mp h')).symm convert @IsOpenImmersion.c_iso _ _ _ _ _ h ((Opens.map f.base).obj (unop U)) have : IsIso f.base := by let t : X ≃ₜ Y := (Homeomorph.ofEmbedding _ h.base_open.toEmbedding).trans { toFun := Subtype.val invFun := fun x => ⟨x, by rw [Set.range_iff_surjective.mpr ((TopCat.epi_iff_surjective _).mp h')]; trivial⟩ left_inv := fun ⟨_, _⟩ => rfl right_inv := fun _ => rfl } convert (TopCat.isoOfHomeo t).isIso_hom have : IsIso f.c := by apply NatIso.isIso_of_isIso_app apply isIso_of_components #align algebraic_geometry.PresheafedSpace.is_open_immersion.to_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.to_iso instance stalk_iso [HasColimits C] [H : IsOpenImmersion f] (x : X) : IsIso (stalkMap f x) := by rw [← H.isoRestrict_hom_ofRestrict] rw [PresheafedSpace.stalkMap.comp] infer_instance #align algebraic_geometry.PresheafedSpace.is_open_immersion.stalk_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.stalk_iso end noncomputable section Pullback variable {X Y Z : PresheafedSpace C} (f : X ⟶ Z) [hf : IsOpenImmersion f] (g : Y ⟶ Z) def pullbackConeOfLeftFst : Y.restrict (TopCat.snd_openEmbedding_of_left_openEmbedding hf.base_open g.base) ⟶ X where base := pullback.fst c := { app := fun U => hf.invApp (unop U) ≫ g.c.app (op (hf.base_open.isOpenMap.functor.obj (unop U))) ≫ Y.presheaf.map (eqToHom (by simp only [IsOpenMap.functor, Subtype.mk_eq_mk, unop_op, op_inj_iff, Opens.map, Subtype.coe_mk, Functor.op_obj] apply LE.le.antisymm · rintro _ ⟨_, h₁, h₂⟩ use (TopCat.pullbackIsoProdSubtype _ _).inv ⟨⟨_, _⟩, h₂⟩ -- Porting note: need a slight hand holding -- used to be `simpa using h₁` before #13170 change _ ∈ _ ⁻¹' _ ∧ _ simp only [TopCat.coe_of, restrict_carrier, Set.preimage_id', Set.mem_preimage, SetLike.mem_coe] constructor · change _ ∈ U.unop at h₁ convert h₁ erw [TopCat.pullbackIsoProdSubtype_inv_fst_apply] · erw [TopCat.pullbackIsoProdSubtype_inv_snd_apply] · rintro _ ⟨x, h₁, rfl⟩ -- next line used to be -- `exact ⟨_, h₁, ConcreteCategory.congr_hom pullback.condition x⟩))` -- before #13170 refine ⟨_, h₁, ?_⟩ change (_ ≫ f.base) _ = (_ ≫ g.base) _ rw [pullback.condition])) naturality := by intro U V i induction U using Opposite.rec' induction V using Opposite.rec' simp only [Quiver.Hom.unop_op, Category.assoc, Functor.op_map] -- Note: this doesn't fire in `simp` because of reduction of the term via structure eta -- before discrimination tree key generation rw [inv_naturality_assoc] -- Porting note: the following lemmas are not picked up by `simp` -- See https://github.com/leanprover-community/mathlib4/issues/5026 erw [g.c.naturality_assoc, TopCat.Presheaf.pushforwardObj_map, ← Y.presheaf.map_comp, ← Y.presheaf.map_comp] congr 1 } #align algebraic_geometry.PresheafedSpace.is_open_immersion.pullback_cone_of_left_fst AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.pullbackConeOfLeftFst
Mathlib/Geometry/RingedSpace/OpenImmersion.lean
399
412
theorem pullback_cone_of_left_condition : pullbackConeOfLeftFst f g ≫ f = Y.ofRestrict _ ≫ g := by
-- Porting note: `ext` did not pick up `NatTrans.ext` refine PresheafedSpace.Hom.ext _ _ ?_ <| NatTrans.ext _ _ <| funext fun U => ?_ · simpa using pullback.condition · induction U using Opposite.rec' -- Porting note: `NatTrans.comp_app` is not picked up by `dsimp` -- Perhaps see : https://github.com/leanprover-community/mathlib4/issues/5026 rw [NatTrans.comp_app] dsimp only [comp_c_app, unop_op, whiskerRight_app, pullbackConeOfLeftFst] -- simp only [ofRestrict_c_app, NatTrans.comp_app] simp only [Quiver.Hom.unop_op, TopCat.Presheaf.pushforwardObj_map, app_invApp_assoc, eqToHom_app, eqToHom_unop, Category.assoc, NatTrans.naturality_assoc, Functor.op_map] erw [← Y.presheaf.map_comp, ← Y.presheaf.map_comp] congr 1
import Mathlib.AlgebraicGeometry.Properties #align_import algebraic_geometry.function_field from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 set_option linter.uppercaseLean3 false universe u v open TopologicalSpace Opposite CategoryTheory CategoryTheory.Limits TopCat namespace AlgebraicGeometry variable (X : Scheme) noncomputable abbrev Scheme.functionField [IrreducibleSpace X.carrier] : CommRingCat := X.presheaf.stalk (genericPoint X.carrier) #align algebraic_geometry.Scheme.function_field AlgebraicGeometry.Scheme.functionField noncomputable abbrev Scheme.germToFunctionField [IrreducibleSpace X.carrier] (U : Opens X.carrier) [h : Nonempty U] : X.presheaf.obj (op U) ⟶ X.functionField := X.presheaf.germ ⟨genericPoint X.carrier, ((genericPoint_spec X.carrier).mem_open_set_iff U.isOpen).mpr (by simpa using h)⟩ #align algebraic_geometry.Scheme.germ_to_function_field AlgebraicGeometry.Scheme.germToFunctionField noncomputable instance [IrreducibleSpace X.carrier] (U : Opens X.carrier) [Nonempty U] : Algebra (X.presheaf.obj (op U)) X.functionField := (X.germToFunctionField U).toAlgebra noncomputable instance [IsIntegral X] : Field X.functionField := by refine .ofIsUnitOrEqZero fun a ↦ ?_ obtain ⟨U, m, s, rfl⟩ := TopCat.Presheaf.germ_exist _ _ a rw [or_iff_not_imp_right, ← (X.presheaf.germ ⟨_, m⟩).map_zero] intro ha replace ha := ne_of_apply_ne _ ha have hs : genericPoint X.carrier ∈ RingedSpace.basicOpen _ s := by rw [← SetLike.mem_coe, (genericPoint_spec X.carrier).mem_open_set_iff, Set.top_eq_univ, Set.univ_inter, Set.nonempty_iff_ne_empty, Ne, ← Opens.coe_bot, ← SetLike.ext'_iff] · erw [basicOpen_eq_bot_iff] exact ha · exact (RingedSpace.basicOpen _ _).isOpen have := (X.presheaf.germ ⟨_, hs⟩).isUnit_map (RingedSpace.isUnit_res_basicOpen _ s) rwa [TopCat.Presheaf.germ_res_apply] at this theorem germ_injective_of_isIntegral [IsIntegral X] {U : Opens X.carrier} (x : U) : Function.Injective (X.presheaf.germ x) := by rw [injective_iff_map_eq_zero] intro y hy rw [← (X.presheaf.germ x).map_zero] at hy obtain ⟨W, hW, iU, iV, e⟩ := X.presheaf.germ_eq _ x.prop x.prop _ _ hy cases Subsingleton.elim iU iV haveI : Nonempty W := ⟨⟨_, hW⟩⟩ exact map_injective_of_isIntegral X iU e #align algebraic_geometry.germ_injective_of_is_integral AlgebraicGeometry.germ_injective_of_isIntegral theorem Scheme.germToFunctionField_injective [IsIntegral X] (U : Opens X.carrier) [Nonempty U] : Function.Injective (X.germToFunctionField U) := germ_injective_of_isIntegral _ _ #align algebraic_geometry.Scheme.germ_to_function_field_injective AlgebraicGeometry.Scheme.germToFunctionField_injective theorem genericPoint_eq_of_isOpenImmersion {X Y : Scheme} (f : X ⟶ Y) [H : IsOpenImmersion f] [hX : IrreducibleSpace X.carrier] [IrreducibleSpace Y.carrier] : f.1.base (genericPoint X.carrier : _) = (genericPoint Y.carrier : _) := by apply ((genericPoint_spec Y).eq _).symm convert (genericPoint_spec X.carrier).image (show Continuous f.1.base by continuity) symm rw [eq_top_iff, Set.top_eq_univ, Set.top_eq_univ] convert subset_closure_inter_of_isPreirreducible_of_isOpen _ H.base_open.isOpen_range _ · rw [Set.univ_inter, Set.image_univ] · apply PreirreducibleSpace.isPreirreducible_univ (X := Y.carrier) · exact ⟨_, trivial, Set.mem_range_self hX.2.some⟩ #align algebraic_geometry.generic_point_eq_of_is_open_immersion AlgebraicGeometry.genericPoint_eq_of_isOpenImmersion noncomputable instance stalkFunctionFieldAlgebra [IrreducibleSpace X.carrier] (x : X.carrier) : Algebra (X.presheaf.stalk x) X.functionField := by apply RingHom.toAlgebra exact X.presheaf.stalkSpecializes ((genericPoint_spec X.carrier).specializes trivial) #align algebraic_geometry.stalk_function_field_algebra AlgebraicGeometry.stalkFunctionFieldAlgebra instance functionField_isScalarTower [IrreducibleSpace X.carrier] (U : Opens X.carrier) (x : U) [Nonempty U] : IsScalarTower (X.presheaf.obj <| op U) (X.presheaf.stalk x) X.functionField := by apply IsScalarTower.of_algebraMap_eq' simp_rw [RingHom.algebraMap_toAlgebra] change _ = X.presheaf.germ x ≫ _ rw [X.presheaf.germ_stalkSpecializes] #align algebraic_geometry.function_field_is_scalar_tower AlgebraicGeometry.functionField_isScalarTower noncomputable instance (R : CommRingCat.{u}) [IsDomain R] : Algebra R (Scheme.Spec.obj <| op R).functionField := RingHom.toAlgebra <| by change CommRingCat.of R ⟶ _; apply StructureSheaf.toStalk @[simp] theorem genericPoint_eq_bot_of_affine (R : CommRingCat) [IsDomain R] : genericPoint (Scheme.Spec.obj <| op R).carrier = (⟨0, Ideal.bot_prime⟩ : PrimeSpectrum R) := by apply (genericPoint_spec (Scheme.Spec.obj <| op R).carrier).eq rw [isGenericPoint_def] rw [← PrimeSpectrum.zeroLocus_vanishingIdeal_eq_closure, PrimeSpectrum.vanishingIdeal_singleton] rw [Set.top_eq_univ, ← PrimeSpectrum.zeroLocus_singleton_zero] simp_rw [Submodule.zero_eq_bot, Submodule.bot_coe] #align algebraic_geometry.generic_point_eq_bot_of_affine AlgebraicGeometry.genericPoint_eq_bot_of_affine instance functionField_isFractionRing_of_affine (R : CommRingCat.{u}) [IsDomain R] : IsFractionRing R (Scheme.Spec.obj <| op R).functionField := by convert StructureSheaf.IsLocalization.to_stalk R (genericPoint (Scheme.Spec.obj (op R))) delta IsFractionRing IsLocalization.AtPrime -- Porting note: `congr` does not work for `Iff` apply Eq.to_iff congr 1 rw [genericPoint_eq_bot_of_affine] ext exact mem_nonZeroDivisors_iff_ne_zero #align algebraic_geometry.function_field_is_fraction_ring_of_affine AlgebraicGeometry.functionField_isFractionRing_of_affine instance {X : Scheme} [IsIntegral X] {U : Opens X.carrier} [hU : Nonempty U] : IsIntegral (X.restrict U.openEmbedding) := haveI : Nonempty (X.restrict U.openEmbedding).carrier := hU isIntegralOfOpenImmersion (X.ofRestrict U.openEmbedding)
Mathlib/AlgebraicGeometry/FunctionField.lean
141
155
theorem IsAffineOpen.primeIdealOf_genericPoint {X : Scheme} [IsIntegral X] {U : Opens X.carrier} (hU : IsAffineOpen U) [h : Nonempty U] : hU.primeIdealOf ⟨genericPoint X.carrier, ((genericPoint_spec X.carrier).mem_open_set_iff U.isOpen).mpr (by simpa using h)⟩ = genericPoint (Scheme.Spec.obj <| op <| X.presheaf.obj <| op U).carrier := by
haveI : IsAffine _ := hU delta IsAffineOpen.primeIdealOf convert genericPoint_eq_of_isOpenImmersion ((X.restrict U.openEmbedding).isoSpec.hom ≫ Scheme.Spec.map (X.presheaf.map (eqToHom U.openEmbedding_obj_top).op).op) -- Porting note: this was `ext1` apply Subtype.ext exact (genericPoint_eq_of_isOpenImmersion (X.ofRestrict U.openEmbedding)).symm
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section HeytingAlgebra variable [HeytingAlgebra α] (a : α) @[simp]
Mathlib/Order/SymmDiff.lean
371
371
theorem bihimp_bot : a ⇔ ⊥ = aᶜ := by
simp [bihimp]
import Mathlib.SetTheory.Ordinal.Arithmetic import Mathlib.SetTheory.Ordinal.Exponential #align_import set_theory.ordinal.fixed_point from "leanprover-community/mathlib"@"0dd4319a17376eda5763cd0a7e0d35bbaaa50e83" noncomputable section universe u v open Function Order namespace Ordinal section variable {ι : Type u} {f : ι → Ordinal.{max u v} → Ordinal.{max u v}} def nfpFamily (f : ι → Ordinal → Ordinal) (a : Ordinal) : Ordinal := sup (List.foldr f a) #align ordinal.nfp_family Ordinal.nfpFamily theorem nfpFamily_eq_sup (f : ι → Ordinal.{max u v} → Ordinal.{max u v}) (a : Ordinal.{max u v}) : nfpFamily.{u, v} f a = sup.{u, v} (List.foldr f a) := rfl #align ordinal.nfp_family_eq_sup Ordinal.nfpFamily_eq_sup theorem foldr_le_nfpFamily (f : ι → Ordinal → Ordinal) (a l) : List.foldr f a l ≤ nfpFamily.{u, v} f a := le_sup.{u, v} _ _ #align ordinal.foldr_le_nfp_family Ordinal.foldr_le_nfpFamily theorem le_nfpFamily (f : ι → Ordinal → Ordinal) (a) : a ≤ nfpFamily f a := le_sup _ [] #align ordinal.le_nfp_family Ordinal.le_nfpFamily theorem lt_nfpFamily {a b} : a < nfpFamily.{u, v} f b ↔ ∃ l, a < List.foldr f b l := lt_sup.{u, v} #align ordinal.lt_nfp_family Ordinal.lt_nfpFamily theorem nfpFamily_le_iff {a b} : nfpFamily.{u, v} f a ≤ b ↔ ∀ l, List.foldr f a l ≤ b := sup_le_iff #align ordinal.nfp_family_le_iff Ordinal.nfpFamily_le_iff theorem nfpFamily_le {a b} : (∀ l, List.foldr f a l ≤ b) → nfpFamily.{u, v} f a ≤ b := sup_le.{u, v} #align ordinal.nfp_family_le Ordinal.nfpFamily_le theorem nfpFamily_monotone (hf : ∀ i, Monotone (f i)) : Monotone (nfpFamily.{u, v} f) := fun _ _ h => sup_le.{u, v} fun l => (List.foldr_monotone hf l h).trans (le_sup.{u, v} _ l) #align ordinal.nfp_family_monotone Ordinal.nfpFamily_monotone theorem apply_lt_nfpFamily (H : ∀ i, IsNormal (f i)) {a b} (hb : b < nfpFamily.{u, v} f a) (i) : f i b < nfpFamily.{u, v} f a := let ⟨l, hl⟩ := lt_nfpFamily.1 hb lt_sup.2 ⟨i::l, (H i).strictMono hl⟩ #align ordinal.apply_lt_nfp_family Ordinal.apply_lt_nfpFamily theorem apply_lt_nfpFamily_iff [Nonempty ι] (H : ∀ i, IsNormal (f i)) {a b} : (∀ i, f i b < nfpFamily.{u, v} f a) ↔ b < nfpFamily.{u, v} f a := ⟨fun h => lt_nfpFamily.2 <| let ⟨l, hl⟩ := lt_sup.1 <| h <| Classical.arbitrary ι ⟨l, ((H _).self_le b).trans_lt hl⟩, apply_lt_nfpFamily H⟩ #align ordinal.apply_lt_nfp_family_iff Ordinal.apply_lt_nfpFamily_iff theorem nfpFamily_le_apply [Nonempty ι] (H : ∀ i, IsNormal (f i)) {a b} : (∃ i, nfpFamily.{u, v} f a ≤ f i b) ↔ nfpFamily.{u, v} f a ≤ b := by rw [← not_iff_not] push_neg exact apply_lt_nfpFamily_iff H #align ordinal.nfp_family_le_apply Ordinal.nfpFamily_le_apply theorem nfpFamily_le_fp (H : ∀ i, Monotone (f i)) {a b} (ab : a ≤ b) (h : ∀ i, f i b ≤ b) : nfpFamily.{u, v} f a ≤ b := sup_le fun l => by by_cases hι : IsEmpty ι · rwa [Unique.eq_default l] · induction' l with i l IH generalizing a · exact ab exact (H i (IH ab)).trans (h i) #align ordinal.nfp_family_le_fp Ordinal.nfpFamily_le_fp theorem nfpFamily_fp {i} (H : IsNormal (f i)) (a) : f i (nfpFamily.{u, v} f a) = nfpFamily.{u, v} f a := by unfold nfpFamily rw [@IsNormal.sup.{u, v, v} _ H _ _ ⟨[]⟩] apply le_antisymm <;> refine Ordinal.sup_le fun l => ?_ · exact le_sup _ (i::l) · exact (H.self_le _).trans (le_sup _ _) #align ordinal.nfp_family_fp Ordinal.nfpFamily_fp theorem apply_le_nfpFamily [hι : Nonempty ι] {f : ι → Ordinal → Ordinal} (H : ∀ i, IsNormal (f i)) {a b} : (∀ i, f i b ≤ nfpFamily.{u, v} f a) ↔ b ≤ nfpFamily.{u, v} f a := by refine ⟨fun h => ?_, fun h i => ?_⟩ · cases' hι with i exact ((H i).self_le b).trans (h i) rw [← nfpFamily_fp (H i)] exact (H i).monotone h #align ordinal.apply_le_nfp_family Ordinal.apply_le_nfpFamily theorem nfpFamily_eq_self {f : ι → Ordinal → Ordinal} {a} (h : ∀ i, f i a = a) : nfpFamily f a = a := le_antisymm (sup_le fun l => by rw [List.foldr_fixed' h l]) <| le_nfpFamily f a #align ordinal.nfp_family_eq_self Ordinal.nfpFamily_eq_self -- Todo: This is actually a special case of the fact the intersection of club sets is a club set. theorem fp_family_unbounded (H : ∀ i, IsNormal (f i)) : (⋂ i, Function.fixedPoints (f i)).Unbounded (· < ·) := fun a => ⟨nfpFamily.{u, v} f a, fun s ⟨i, hi⟩ => by rw [← hi, mem_fixedPoints_iff] exact nfpFamily_fp.{u, v} (H i) a, (le_nfpFamily f a).not_lt⟩ #align ordinal.fp_family_unbounded Ordinal.fp_family_unbounded def derivFamily (f : ι → Ordinal → Ordinal) (o : Ordinal) : Ordinal := limitRecOn o (nfpFamily.{u, v} f 0) (fun _ IH => nfpFamily.{u, v} f (succ IH)) fun a _ => bsup.{max u v, u} a #align ordinal.deriv_family Ordinal.derivFamily @[simp] theorem derivFamily_zero (f : ι → Ordinal → Ordinal) : derivFamily.{u, v} f 0 = nfpFamily.{u, v} f 0 := limitRecOn_zero _ _ _ #align ordinal.deriv_family_zero Ordinal.derivFamily_zero @[simp] theorem derivFamily_succ (f : ι → Ordinal → Ordinal) (o) : derivFamily.{u, v} f (succ o) = nfpFamily.{u, v} f (succ (derivFamily.{u, v} f o)) := limitRecOn_succ _ _ _ _ #align ordinal.deriv_family_succ Ordinal.derivFamily_succ theorem derivFamily_limit (f : ι → Ordinal → Ordinal) {o} : IsLimit o → derivFamily.{u, v} f o = bsup.{max u v, u} o fun a _ => derivFamily.{u, v} f a := limitRecOn_limit _ _ _ _ #align ordinal.deriv_family_limit Ordinal.derivFamily_limit theorem derivFamily_isNormal (f : ι → Ordinal → Ordinal) : IsNormal (derivFamily f) := ⟨fun o => by rw [derivFamily_succ, ← succ_le_iff]; apply le_nfpFamily, fun o l a => by rw [derivFamily_limit _ l, bsup_le_iff]⟩ #align ordinal.deriv_family_is_normal Ordinal.derivFamily_isNormal
Mathlib/SetTheory/Ordinal/FixedPoint.lean
183
193
theorem derivFamily_fp {i} (H : IsNormal (f i)) (o : Ordinal.{max u v}) : f i (derivFamily.{u, v} f o) = derivFamily.{u, v} f o := by
induction' o using limitRecOn with o _ o l IH · rw [derivFamily_zero] exact nfpFamily_fp H 0 · rw [derivFamily_succ] exact nfpFamily_fp H _ · rw [derivFamily_limit _ l, IsNormal.bsup.{max u v, u, max u v} H (fun a _ => derivFamily f a) l.1] refine eq_of_forall_ge_iff fun c => ?_ simp (config := { contextual := true }) only [bsup_le_iff, IH]
import Mathlib.Data.List.Count import Mathlib.Data.List.Dedup import Mathlib.Data.List.InsertNth import Mathlib.Data.List.Lattice import Mathlib.Data.List.Permutation import Mathlib.Data.Nat.Factorial.Basic #align_import data.list.perm from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- Make sure we don't import algebra assert_not_exists Monoid open Nat namespace List variable {α β : Type*} {l l₁ l₂ : List α} {a : α} #align list.perm List.Perm instance : Trans (@List.Perm α) (@List.Perm α) List.Perm where trans := @List.Perm.trans α open Perm (swap) attribute [refl] Perm.refl #align list.perm.refl List.Perm.refl lemma perm_rfl : l ~ l := Perm.refl _ -- Porting note: used rec_on in mathlib3; lean4 eqn compiler still doesn't like it attribute [symm] Perm.symm #align list.perm.symm List.Perm.symm #align list.perm_comm List.perm_comm #align list.perm.swap' List.Perm.swap' attribute [trans] Perm.trans #align list.perm.eqv List.Perm.eqv #align list.is_setoid List.isSetoid #align list.perm.mem_iff List.Perm.mem_iff #align list.perm.subset List.Perm.subset theorem Perm.subset_congr_left {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₁ ⊆ l₃ ↔ l₂ ⊆ l₃ := ⟨h.symm.subset.trans, h.subset.trans⟩ #align list.perm.subset_congr_left List.Perm.subset_congr_left theorem Perm.subset_congr_right {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₃ ⊆ l₁ ↔ l₃ ⊆ l₂ := ⟨fun h' => h'.trans h.subset, fun h' => h'.trans h.symm.subset⟩ #align list.perm.subset_congr_right List.Perm.subset_congr_right #align list.perm.append_right List.Perm.append_right #align list.perm.append_left List.Perm.append_left #align list.perm.append List.Perm.append #align list.perm.append_cons List.Perm.append_cons #align list.perm_middle List.perm_middle #align list.perm_append_singleton List.perm_append_singleton #align list.perm_append_comm List.perm_append_comm #align list.concat_perm List.concat_perm #align list.perm.length_eq List.Perm.length_eq #align list.perm.eq_nil List.Perm.eq_nil #align list.perm.nil_eq List.Perm.nil_eq #align list.perm_nil List.perm_nil #align list.nil_perm List.nil_perm #align list.not_perm_nil_cons List.not_perm_nil_cons #align list.reverse_perm List.reverse_perm #align list.perm_cons_append_cons List.perm_cons_append_cons #align list.perm_replicate List.perm_replicate #align list.replicate_perm List.replicate_perm #align list.perm_singleton List.perm_singleton #align list.singleton_perm List.singleton_perm #align list.singleton_perm_singleton List.singleton_perm_singleton #align list.perm_cons_erase List.perm_cons_erase #align list.perm_induction_on List.Perm.recOnSwap' -- Porting note: used to be @[congr] #align list.perm.filter_map List.Perm.filterMap -- Porting note: used to be @[congr] #align list.perm.map List.Perm.map #align list.perm.pmap List.Perm.pmap #align list.perm.filter List.Perm.filter #align list.filter_append_perm List.filter_append_perm #align list.exists_perm_sublist List.exists_perm_sublist #align list.perm.sizeof_eq_sizeof List.Perm.sizeOf_eq_sizeOf #align list.sublist.exists_perm_append List.Sublist.exists_perm_append lemma subperm_iff : l₁ <+~ l₂ ↔ ∃ l, l ~ l₂ ∧ l₁ <+ l := by refine ⟨?_, fun ⟨l, h₁, h₂⟩ ↦ h₂.subperm.trans h₁.subperm⟩ rintro ⟨l, h₁, h₂⟩ obtain ⟨l', h₂⟩ := h₂.exists_perm_append exact ⟨l₁ ++ l', (h₂.trans (h₁.append_right _)).symm, (prefix_append _ _).sublist⟩ #align list.subperm_singleton_iff List.singleton_subperm_iff @[simp] lemma subperm_singleton_iff : l <+~ [a] ↔ l = [] ∨ l = [a] := by constructor · rw [subperm_iff] rintro ⟨s, hla, h⟩ rwa [perm_singleton.mp hla, sublist_singleton] at h · rintro (rfl | rfl) exacts [nil_subperm, Subperm.refl _] attribute [simp] nil_subperm @[simp] theorem subperm_nil : List.Subperm l [] ↔ l = [] := match l with | [] => by simp | head :: tail => by simp only [iff_false] intro h have := h.length_le simp only [List.length_cons, List.length_nil, Nat.succ_ne_zero, ← Nat.not_lt, Nat.zero_lt_succ, not_true_eq_false] at this #align list.perm.countp_eq List.Perm.countP_eq #align list.subperm.countp_le List.Subperm.countP_le #align list.perm.countp_congr List.Perm.countP_congr #align list.countp_eq_countp_filter_add List.countP_eq_countP_filter_add lemma count_eq_count_filter_add [DecidableEq α] (P : α → Prop) [DecidablePred P] (l : List α) (a : α) : count a l = count a (l.filter P) + count a (l.filter (¬ P ·)) := by convert countP_eq_countP_filter_add l _ P simp only [decide_not] #align list.perm.count_eq List.Perm.count_eq #align list.subperm.count_le List.Subperm.count_le #align list.perm.foldl_eq' List.Perm.foldl_eq' theorem Perm.foldl_eq {f : β → α → β} {l₁ l₂ : List α} (rcomm : RightCommutative f) (p : l₁ ~ l₂) : ∀ b, foldl f b l₁ = foldl f b l₂ := p.foldl_eq' fun x _hx y _hy z => rcomm z x y #align list.perm.foldl_eq List.Perm.foldl_eq theorem Perm.foldr_eq {f : α → β → β} {l₁ l₂ : List α} (lcomm : LeftCommutative f) (p : l₁ ~ l₂) : ∀ b, foldr f b l₁ = foldr f b l₂ := by intro b induction p using Perm.recOnSwap' generalizing b with | nil => rfl | cons _ _ r => simp; rw [r b] | swap' _ _ _ r => simp; rw [lcomm, r b] | trans _ _ r₁ r₂ => exact Eq.trans (r₁ b) (r₂ b) #align list.perm.foldr_eq List.Perm.foldr_eq #align list.perm.rec_heq List.Perm.rec_heq section variable {op : α → α → α} [IA : Std.Associative op] [IC : Std.Commutative op] local notation a " * " b => op a b local notation l " <*> " a => foldl op a l theorem Perm.fold_op_eq {l₁ l₂ : List α} {a : α} (h : l₁ ~ l₂) : (l₁ <*> a) = l₂ <*> a := h.foldl_eq (right_comm _ IC.comm IA.assoc) _ #align list.perm.fold_op_eq List.Perm.fold_op_eq end #align list.perm_inv_core List.perm_inv_core #align list.perm.cons_inv List.Perm.cons_inv #align list.perm_cons List.perm_cons #align list.perm_append_left_iff List.perm_append_left_iff #align list.perm_append_right_iff List.perm_append_right_iff theorem perm_option_to_list {o₁ o₂ : Option α} : o₁.toList ~ o₂.toList ↔ o₁ = o₂ := by refine ⟨fun p => ?_, fun e => e ▸ Perm.refl _⟩ cases' o₁ with a <;> cases' o₂ with b; · rfl · cases p.length_eq · cases p.length_eq · exact Option.mem_toList.1 (p.symm.subset <| by simp) #align list.perm_option_to_list List.perm_option_to_list #align list.subperm_cons List.subperm_cons alias ⟨subperm.of_cons, subperm.cons⟩ := subperm_cons #align list.subperm.of_cons List.subperm.of_cons #align list.subperm.cons List.subperm.cons -- Porting note: commented out --attribute [protected] subperm.cons theorem cons_subperm_of_mem {a : α} {l₁ l₂ : List α} (d₁ : Nodup l₁) (h₁ : a ∉ l₁) (h₂ : a ∈ l₂) (s : l₁ <+~ l₂) : a :: l₁ <+~ l₂ := by rcases s with ⟨l, p, s⟩ induction s generalizing l₁ with | slnil => cases h₂ | @cons r₁ r₂ b s' ih => simp? at h₂ says simp only [mem_cons] at h₂ cases' h₂ with e m · subst b exact ⟨a :: r₁, p.cons a, s'.cons₂ _⟩ · rcases ih d₁ h₁ m p with ⟨t, p', s'⟩ exact ⟨t, p', s'.cons _⟩ | @cons₂ r₁ r₂ b _ ih => have bm : b ∈ l₁ := p.subset <| mem_cons_self _ _ have am : a ∈ r₂ := by simp only [find?, mem_cons] at h₂ exact h₂.resolve_left fun e => h₁ <| e.symm ▸ bm rcases append_of_mem bm with ⟨t₁, t₂, rfl⟩ have st : t₁ ++ t₂ <+ t₁ ++ b :: t₂ := by simp rcases ih (d₁.sublist st) (mt (fun x => st.subset x) h₁) am (Perm.cons_inv <| p.trans perm_middle) with ⟨t, p', s'⟩ exact ⟨b :: t, (p'.cons b).trans <| (swap _ _ _).trans (perm_middle.symm.cons a), s'.cons₂ _⟩ #align list.cons_subperm_of_mem List.cons_subperm_of_mem #align list.subperm_append_left List.subperm_append_left #align list.subperm_append_right List.subperm_append_right #align list.subperm.exists_of_length_lt List.Subperm.exists_of_length_lt protected theorem Nodup.subperm (d : Nodup l₁) (H : l₁ ⊆ l₂) : l₁ <+~ l₂ := subperm_of_subset d H #align list.nodup.subperm List.Nodup.subperm #align list.perm_ext List.perm_ext_iff_of_nodup #align list.nodup.sublist_ext List.Nodup.perm_iff_eq_of_sublist section variable [DecidableEq α] -- attribute [congr] #align list.perm.erase List.Perm.erase #align list.subperm_cons_erase List.subperm_cons_erase #align list.erase_subperm List.erase_subperm #align list.subperm.erase List.Subperm.erase #align list.perm.diff_right List.Perm.diff_right #align list.perm.diff_left List.Perm.diff_left #align list.perm.diff List.Perm.diff #align list.subperm.diff_right List.Subperm.diff_right #align list.erase_cons_subperm_cons_erase List.erase_cons_subperm_cons_erase #align list.subperm_cons_diff List.subperm_cons_diff #align list.subset_cons_diff List.subset_cons_diff theorem Perm.bagInter_right {l₁ l₂ : List α} (t : List α) (h : l₁ ~ l₂) : l₁.bagInter t ~ l₂.bagInter t := by induction' h with x _ _ _ _ x y _ _ _ _ _ _ ih_1 ih_2 generalizing t; · simp · by_cases x ∈ t <;> simp [*, Perm.cons] · by_cases h : x = y · simp [h] by_cases xt : x ∈ t <;> by_cases yt : y ∈ t · simp [xt, yt, mem_erase_of_ne h, mem_erase_of_ne (Ne.symm h), erase_comm, swap] · simp [xt, yt, mt mem_of_mem_erase, Perm.cons] · simp [xt, yt, mt mem_of_mem_erase, Perm.cons] · simp [xt, yt] · exact (ih_1 _).trans (ih_2 _) #align list.perm.bag_inter_right List.Perm.bagInter_right theorem Perm.bagInter_left (l : List α) {t₁ t₂ : List α} (p : t₁ ~ t₂) : l.bagInter t₁ = l.bagInter t₂ := by induction' l with a l IH generalizing t₁ t₂ p; · simp by_cases h : a ∈ t₁ · simp [h, p.subset h, IH (p.erase _)] · simp [h, mt p.mem_iff.2 h, IH p] #align list.perm.bag_inter_left List.Perm.bagInter_left theorem Perm.bagInter {l₁ l₂ t₁ t₂ : List α} (hl : l₁ ~ l₂) (ht : t₁ ~ t₂) : l₁.bagInter t₁ ~ l₂.bagInter t₂ := ht.bagInter_left l₂ ▸ hl.bagInter_right _ #align list.perm.bag_inter List.Perm.bagInter #align list.cons_perm_iff_perm_erase List.cons_perm_iff_perm_erase #align list.perm_iff_count List.perm_iff_count theorem perm_replicate_append_replicate {l : List α} {a b : α} {m n : ℕ} (h : a ≠ b) : l ~ replicate m a ++ replicate n b ↔ count a l = m ∧ count b l = n ∧ l ⊆ [a, b] := by rw [perm_iff_count, ← Decidable.and_forall_ne a, ← Decidable.and_forall_ne b] suffices l ⊆ [a, b] ↔ ∀ c, c ≠ b → c ≠ a → c ∉ l by simp (config := { contextual := true }) [count_replicate, h, h.symm, this, count_eq_zero] trans ∀ c, c ∈ l → c = b ∨ c = a · simp [subset_def, or_comm] · exact forall_congr' fun _ => by rw [← and_imp, ← not_or, not_imp_not] #align list.perm_replicate_append_replicate List.perm_replicate_append_replicate #align list.subperm.cons_right List.Subperm.cons_right #align list.subperm_append_diff_self_of_count_le List.subperm_append_diff_self_of_count_le #align list.subperm_ext_iff List.subperm_ext_iff #align list.decidable_subperm List.decidableSubperm #align list.subperm.cons_left List.Subperm.cons_left #align list.decidable_perm List.decidablePerm -- @[congr] theorem Perm.dedup {l₁ l₂ : List α} (p : l₁ ~ l₂) : dedup l₁ ~ dedup l₂ := perm_iff_count.2 fun a => if h : a ∈ l₁ then by simp [nodup_dedup, h, p.subset h] else by simp [h, mt p.mem_iff.2 h] #align list.perm.dedup List.Perm.dedup -- attribute [congr] #align list.perm.insert List.Perm.insert #align list.perm_insert_swap List.perm_insert_swap #align list.perm_insert_nth List.perm_insertNth #align list.perm.union_right List.Perm.union_right #align list.perm.union_left List.Perm.union_left -- @[congr] #align list.perm.union List.Perm.union #align list.perm.inter_right List.Perm.inter_right #align list.perm.inter_left List.Perm.inter_left -- @[congr] #align list.perm.inter List.Perm.inter theorem Perm.inter_append {l t₁ t₂ : List α} (h : Disjoint t₁ t₂) : l ∩ (t₁ ++ t₂) ~ l ∩ t₁ ++ l ∩ t₂ := by induction l with | nil => simp | cons x xs l_ih => by_cases h₁ : x ∈ t₁ · have h₂ : x ∉ t₂ := h h₁ simp [*] by_cases h₂ : x ∈ t₂ · simp only [*, inter_cons_of_not_mem, false_or_iff, mem_append, inter_cons_of_mem, not_false_iff] refine Perm.trans (Perm.cons _ l_ih) ?_ change [x] ++ xs ∩ t₁ ++ xs ∩ t₂ ~ xs ∩ t₁ ++ ([x] ++ xs ∩ t₂) rw [← List.append_assoc] solve_by_elim [Perm.append_right, perm_append_comm] · simp [*] #align list.perm.inter_append List.Perm.inter_append end #align list.perm.pairwise_iff List.Perm.pairwise_iff #align list.pairwise.perm List.Pairwise.perm #align list.perm.pairwise List.Perm.pairwise #align list.perm.nodup_iff List.Perm.nodup_iff #align list.perm.join List.Perm.join #align list.perm.bind_right List.Perm.bind_right #align list.perm.join_congr List.Perm.join_congr theorem Perm.bind_left (l : List α) {f g : α → List β} (h : ∀ a ∈ l, f a ~ g a) : l.bind f ~ l.bind g := Perm.join_congr <| by rwa [List.forall₂_map_right_iff, List.forall₂_map_left_iff, List.forall₂_same] #align list.perm.bind_left List.Perm.bind_left theorem bind_append_perm (l : List α) (f g : α → List β) : l.bind f ++ l.bind g ~ l.bind fun x => f x ++ g x := by induction' l with a l IH <;> simp refine (Perm.trans ?_ (IH.append_left _)).append_left _ rw [← append_assoc, ← append_assoc] exact perm_append_comm.append_right _ #align list.bind_append_perm List.bind_append_perm theorem map_append_bind_perm (l : List α) (f : α → β) (g : α → List β) : l.map f ++ l.bind g ~ l.bind fun x => f x :: g x := by simpa [← map_eq_bind] using bind_append_perm l (fun x => [f x]) g #align list.map_append_bind_perm List.map_append_bind_perm theorem Perm.product_right {l₁ l₂ : List α} (t₁ : List β) (p : l₁ ~ l₂) : product l₁ t₁ ~ product l₂ t₁ := p.bind_right _ #align list.perm.product_right List.Perm.product_right theorem Perm.product_left (l : List α) {t₁ t₂ : List β} (p : t₁ ~ t₂) : product l t₁ ~ product l t₂ := (Perm.bind_left _) fun _ _ => p.map _ #align list.perm.product_left List.Perm.product_left -- @[congr] theorem Perm.product {l₁ l₂ : List α} {t₁ t₂ : List β} (p₁ : l₁ ~ l₂) (p₂ : t₁ ~ t₂) : product l₁ t₁ ~ product l₂ t₂ := (p₁.product_right t₁).trans (p₂.product_left l₂) #align list.perm.product List.Perm.product theorem perm_lookmap (f : α → Option α) {l₁ l₂ : List α} (H : Pairwise (fun a b => ∀ c ∈ f a, ∀ d ∈ f b, a = b ∧ c = d) l₁) (p : l₁ ~ l₂) : lookmap f l₁ ~ lookmap f l₂ := by induction' p with a l₁ l₂ p IH a b l l₁ l₂ l₃ p₁ _ IH₁ IH₂; · simp · cases h : f a · simp [h] exact IH (pairwise_cons.1 H).2 · simp [lookmap_cons_some _ _ h, p] · cases' h₁ : f a with c <;> cases' h₂ : f b with d · simp [h₁, h₂] apply swap · simp [h₁, lookmap_cons_some _ _ h₂] apply swap · simp [lookmap_cons_some _ _ h₁, h₂] apply swap · simp [lookmap_cons_some _ _ h₁, lookmap_cons_some _ _ h₂] rcases (pairwise_cons.1 H).1 _ (mem_cons.2 (Or.inl rfl)) _ h₂ _ h₁ with ⟨rfl, rfl⟩ exact Perm.refl _ · refine (IH₁ H).trans (IH₂ ((p₁.pairwise_iff ?_).1 H)) intro x y h c hc d hd rw [@eq_comm _ y, @eq_comm _ c] apply h d hd c hc #align list.perm_lookmap List.perm_lookmap #align list.perm.erasep List.Perm.eraseP theorem Perm.take_inter [DecidableEq α] {xs ys : List α} (n : ℕ) (h : xs ~ ys) (h' : ys.Nodup) : xs.take n ~ ys.inter (xs.take n) := by simp only [List.inter] exact Perm.trans (show xs.take n ~ xs.filter (xs.take n).elem by conv_lhs => rw [Nodup.take_eq_filter_mem ((Perm.nodup_iff h).2 h')]) (Perm.filter _ h) #align list.perm.take_inter List.Perm.take_inter
Mathlib/Data/List/Perm.lean
586
603
theorem Perm.drop_inter [DecidableEq α] {xs ys : List α} (n : ℕ) (h : xs ~ ys) (h' : ys.Nodup) : xs.drop n ~ ys.inter (xs.drop n) := by
by_cases h'' : n ≤ xs.length · let n' := xs.length - n have h₀ : n = xs.length - n' := by rwa [Nat.sub_sub_self] have h₁ : n' ≤ xs.length := Nat.sub_le .. have h₂ : xs.drop n = (xs.reverse.take n').reverse := by rw [reverse_take _ h₁, h₀, reverse_reverse] rw [h₂] apply (reverse_perm _).trans rw [inter_reverse] apply Perm.take_inter _ _ h' apply (reverse_perm _).trans; assumption · have : drop n xs = [] := by apply eq_nil_of_length_eq_zero rw [length_drop, Nat.sub_eq_zero_iff_le] apply le_of_not_ge h'' simp [this, List.inter]
import Mathlib.LinearAlgebra.CliffordAlgebra.Contraction variable {R M : Type*} variable [CommRing R] [AddCommGroup M] [Module R M] {Q : QuadraticForm R M} namespace CliffordAlgebra variable (Q) def invertibleιOfInvertible (m : M) [Invertible (Q m)] : Invertible (ι Q m) where invOf := ι Q (⅟ (Q m) • m) invOf_mul_self := by rw [map_smul, smul_mul_assoc, ι_sq_scalar, Algebra.smul_def, ← map_mul, invOf_mul_self, map_one] mul_invOf_self := by rw [map_smul, mul_smul_comm, ι_sq_scalar, Algebra.smul_def, ← map_mul, invOf_mul_self, map_one] #align clifford_algebra.invertible_ι_of_invertible CliffordAlgebra.invertibleιOfInvertible theorem invOf_ι (m : M) [Invertible (Q m)] [Invertible (ι Q m)] : ⅟ (ι Q m) = ι Q (⅟ (Q m) • m) := by letI := invertibleιOfInvertible Q m convert (rfl : ⅟ (ι Q m) = _) #align clifford_algebra.inv_of_ι CliffordAlgebra.invOf_ι theorem isUnit_ι_of_isUnit {m : M} (h : IsUnit (Q m)) : IsUnit (ι Q m) := by cases h.nonempty_invertible letI := invertibleιOfInvertible Q m exact isUnit_of_invertible (ι Q m) #align clifford_algebra.is_unit_ι_of_is_unit CliffordAlgebra.isUnit_ι_of_isUnit theorem ι_mul_ι_mul_invOf_ι (a b : M) [Invertible (ι Q a)] [Invertible (Q a)] : ι Q a * ι Q b * ⅟ (ι Q a) = ι Q ((⅟ (Q a) * QuadraticForm.polar Q a b) • a - b) := by rw [invOf_ι, map_smul, mul_smul_comm, ι_mul_ι_mul_ι, ← map_smul, smul_sub, smul_smul, smul_smul, invOf_mul_self, one_smul] #align clifford_algebra.ι_mul_ι_mul_inv_of_ι CliffordAlgebra.ι_mul_ι_mul_invOf_ι theorem invOf_ι_mul_ι_mul_ι (a b : M) [Invertible (ι Q a)] [Invertible (Q a)] : ⅟ (ι Q a) * ι Q b * ι Q a = ι Q ((⅟ (Q a) * QuadraticForm.polar Q a b) • a - b) := by rw [invOf_ι, map_smul, smul_mul_assoc, smul_mul_assoc, ι_mul_ι_mul_ι, ← map_smul, smul_sub, smul_smul, smul_smul, invOf_mul_self, one_smul] #align clifford_algebra.inv_of_ι_mul_ι_mul_ι CliffordAlgebra.invOf_ι_mul_ι_mul_ι section variable [Invertible (2 : R)] def invertibleOfInvertibleι (m : M) [Invertible (ι Q m)] : Invertible (Q m) := ExteriorAlgebra.invertibleAlgebraMapEquiv M (Q m) <| .algebraMapOfInvertibleAlgebraMap (equivExterior Q).toLinearMap (by simp) <| .copy (.mul ‹Invertible (ι Q m)› ‹Invertible (ι Q m)›) _ (ι_sq_scalar _ _).symm
Mathlib/LinearAlgebra/CliffordAlgebra/Inversion.lean
66
69
theorem isUnit_of_isUnit_ι {m : M} (h : IsUnit (ι Q m)) : IsUnit (Q m) := by
cases h.nonempty_invertible letI := invertibleOfInvertibleι Q m exact isUnit_of_invertible (Q m)
import Mathlib.CategoryTheory.Sites.CompatiblePlus import Mathlib.CategoryTheory.Sites.ConcreteSheafification #align_import category_theory.sites.compatible_sheafification from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory.GrothendieckTopology open CategoryTheory open CategoryTheory.Limits open Opposite universe w₁ w₂ v u variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) variable {D : Type w₁} [Category.{max v u} D] variable {E : Type w₂} [Category.{max v u} E] variable (F : D ⥤ E) -- Porting note: Removed this and made whatever necessary noncomputable -- noncomputable section variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) D] variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) E] variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ D] variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ E] variable [∀ X : C, PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] variable [∀ (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] variable (P : Cᵒᵖ ⥤ D) noncomputable def sheafifyCompIso : J.sheafify P ⋙ F ≅ J.sheafify (P ⋙ F) := J.plusCompIso _ _ ≪≫ (J.plusFunctor _).mapIso (J.plusCompIso _ _) #align category_theory.grothendieck_topology.sheafify_comp_iso CategoryTheory.GrothendieckTopology.sheafifyCompIso noncomputable def sheafificationWhiskerLeftIso (P : Cᵒᵖ ⥤ D) [∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] [∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] : (whiskeringLeft _ _ E).obj (J.sheafify P) ≅ (whiskeringLeft _ _ _).obj P ⋙ J.sheafification E := by refine J.plusFunctorWhiskerLeftIso _ ≪≫ ?_ ≪≫ Functor.associator _ _ _ refine isoWhiskerRight ?_ _ exact J.plusFunctorWhiskerLeftIso _ #align category_theory.grothendieck_topology.sheafification_whisker_left_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso @[simp] theorem sheafificationWhiskerLeftIso_hom_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E) [∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] [∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] : (sheafificationWhiskerLeftIso J P).hom.app F = (J.sheafifyCompIso F P).hom := by dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso] rw [Category.comp_id] #align category_theory.grothendieck_topology.sheafification_whisker_left_iso_hom_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_hom_app @[simp] theorem sheafificationWhiskerLeftIso_inv_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E) [∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] [∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] : (sheafificationWhiskerLeftIso J P).inv.app F = (J.sheafifyCompIso F P).inv := by dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso] erw [Category.id_comp] #align category_theory.grothendieck_topology.sheafification_whisker_left_iso_inv_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_inv_app noncomputable def sheafificationWhiskerRightIso : J.sheafification D ⋙ (whiskeringRight _ _ _).obj F ≅ (whiskeringRight _ _ _).obj F ⋙ J.sheafification E := by refine Functor.associator _ _ _ ≪≫ ?_ refine isoWhiskerLeft (J.plusFunctor D) (J.plusFunctorWhiskerRightIso _) ≪≫ ?_ refine ?_ ≪≫ Functor.associator _ _ _ refine (Functor.associator _ _ _).symm ≪≫ ?_ exact isoWhiskerRight (J.plusFunctorWhiskerRightIso _) (J.plusFunctor E) #align category_theory.grothendieck_topology.sheafification_whisker_right_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerRightIso @[simp] theorem sheafificationWhiskerRightIso_hom_app : (J.sheafificationWhiskerRightIso F).hom.app P = (J.sheafifyCompIso F P).hom := by dsimp [sheafificationWhiskerRightIso, sheafifyCompIso] simp only [Category.id_comp, Category.comp_id] erw [Category.id_comp] #align category_theory.grothendieck_topology.sheafification_whisker_right_iso_hom_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerRightIso_hom_app @[simp] theorem sheafificationWhiskerRightIso_inv_app : (J.sheafificationWhiskerRightIso F).inv.app P = (J.sheafifyCompIso F P).inv := by dsimp [sheafificationWhiskerRightIso, sheafifyCompIso] simp only [Category.id_comp, Category.comp_id] erw [Category.id_comp] #align category_theory.grothendieck_topology.sheafification_whisker_right_iso_inv_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerRightIso_inv_app @[simp, reassoc] theorem whiskerRight_toSheafify_sheafifyCompIso_hom : whiskerRight (J.toSheafify _) _ ≫ (J.sheafifyCompIso F P).hom = J.toSheafify _ := by dsimp [sheafifyCompIso] erw [whiskerRight_comp, Category.assoc] slice_lhs 2 3 => rw [plusCompIso_whiskerRight] rw [Category.assoc, ← J.plusMap_comp, whiskerRight_toPlus_comp_plusCompIso_hom, ← Category.assoc, whiskerRight_toPlus_comp_plusCompIso_hom] rfl #align category_theory.grothendieck_topology.whisker_right_to_sheafify_sheafify_comp_iso_hom CategoryTheory.GrothendieckTopology.whiskerRight_toSheafify_sheafifyCompIso_hom @[simp, reassoc]
Mathlib/CategoryTheory/Sites/CompatibleSheafification.lean
129
131
theorem toSheafify_comp_sheafifyCompIso_inv : J.toSheafify _ ≫ (J.sheafifyCompIso F P).inv = whiskerRight (J.toSheafify _) _ := by
rw [Iso.comp_inv_eq]; simp
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Algebra.Ring.Divisibility.Basic import Mathlib.Data.List.Cycle import Mathlib.Data.Nat.Prime import Mathlib.Data.PNat.Basic import Mathlib.Dynamics.FixedPoints.Basic import Mathlib.GroupTheory.GroupAction.Group #align_import dynamics.periodic_pts from "leanprover-community/mathlib"@"d07245fd37786daa997af4f1a73a49fa3b748408" open Set namespace Function open Function (Commute) variable {α : Type*} {β : Type*} {f fa : α → α} {fb : β → β} {x y : α} {m n : ℕ} def IsPeriodicPt (f : α → α) (n : ℕ) (x : α) := IsFixedPt f^[n] x #align function.is_periodic_pt Function.IsPeriodicPt theorem IsFixedPt.isPeriodicPt (hf : IsFixedPt f x) (n : ℕ) : IsPeriodicPt f n x := hf.iterate n #align function.is_fixed_pt.is_periodic_pt Function.IsFixedPt.isPeriodicPt theorem is_periodic_id (n : ℕ) (x : α) : IsPeriodicPt id n x := (isFixedPt_id x).isPeriodicPt n #align function.is_periodic_id Function.is_periodic_id theorem isPeriodicPt_zero (f : α → α) (x : α) : IsPeriodicPt f 0 x := isFixedPt_id x #align function.is_periodic_pt_zero Function.isPeriodicPt_zero namespace IsPeriodicPt instance [DecidableEq α] {f : α → α} {n : ℕ} {x : α} : Decidable (IsPeriodicPt f n x) := IsFixedPt.decidable protected theorem isFixedPt (hf : IsPeriodicPt f n x) : IsFixedPt f^[n] x := hf #align function.is_periodic_pt.is_fixed_pt Function.IsPeriodicPt.isFixedPt protected theorem map (hx : IsPeriodicPt fa n x) {g : α → β} (hg : Semiconj g fa fb) : IsPeriodicPt fb n (g x) := IsFixedPt.map hx (hg.iterate_right n) #align function.is_periodic_pt.map Function.IsPeriodicPt.map theorem apply_iterate (hx : IsPeriodicPt f n x) (m : ℕ) : IsPeriodicPt f n (f^[m] x) := hx.map <| Commute.iterate_self f m #align function.is_periodic_pt.apply_iterate Function.IsPeriodicPt.apply_iterate protected theorem apply (hx : IsPeriodicPt f n x) : IsPeriodicPt f n (f x) := hx.apply_iterate 1 #align function.is_periodic_pt.apply Function.IsPeriodicPt.apply protected theorem add (hn : IsPeriodicPt f n x) (hm : IsPeriodicPt f m x) : IsPeriodicPt f (n + m) x := by rw [IsPeriodicPt, iterate_add] exact hn.comp hm #align function.is_periodic_pt.add Function.IsPeriodicPt.add theorem left_of_add (hn : IsPeriodicPt f (n + m) x) (hm : IsPeriodicPt f m x) : IsPeriodicPt f n x := by rw [IsPeriodicPt, iterate_add] at hn exact hn.left_of_comp hm #align function.is_periodic_pt.left_of_add Function.IsPeriodicPt.left_of_add theorem right_of_add (hn : IsPeriodicPt f (n + m) x) (hm : IsPeriodicPt f n x) : IsPeriodicPt f m x := by rw [add_comm] at hn exact hn.left_of_add hm #align function.is_periodic_pt.right_of_add Function.IsPeriodicPt.right_of_add protected theorem sub (hm : IsPeriodicPt f m x) (hn : IsPeriodicPt f n x) : IsPeriodicPt f (m - n) x := by rcases le_total n m with h | h · refine left_of_add ?_ hn rwa [tsub_add_cancel_of_le h] · rw [tsub_eq_zero_iff_le.mpr h] apply isPeriodicPt_zero #align function.is_periodic_pt.sub Function.IsPeriodicPt.sub protected theorem mul_const (hm : IsPeriodicPt f m x) (n : ℕ) : IsPeriodicPt f (m * n) x := by simp only [IsPeriodicPt, iterate_mul, hm.isFixedPt.iterate n] #align function.is_periodic_pt.mul_const Function.IsPeriodicPt.mul_const protected theorem const_mul (hm : IsPeriodicPt f m x) (n : ℕ) : IsPeriodicPt f (n * m) x := by simp only [mul_comm n, hm.mul_const n] #align function.is_periodic_pt.const_mul Function.IsPeriodicPt.const_mul theorem trans_dvd (hm : IsPeriodicPt f m x) {n : ℕ} (hn : m ∣ n) : IsPeriodicPt f n x := let ⟨k, hk⟩ := hn hk.symm ▸ hm.mul_const k #align function.is_periodic_pt.trans_dvd Function.IsPeriodicPt.trans_dvd protected theorem iterate (hf : IsPeriodicPt f n x) (m : ℕ) : IsPeriodicPt f^[m] n x := by rw [IsPeriodicPt, ← iterate_mul, mul_comm, iterate_mul] exact hf.isFixedPt.iterate m #align function.is_periodic_pt.iterate Function.IsPeriodicPt.iterate theorem comp {g : α → α} (hco : Commute f g) (hf : IsPeriodicPt f n x) (hg : IsPeriodicPt g n x) : IsPeriodicPt (f ∘ g) n x := by rw [IsPeriodicPt, hco.comp_iterate] exact IsFixedPt.comp hf hg #align function.is_periodic_pt.comp Function.IsPeriodicPt.comp theorem comp_lcm {g : α → α} (hco : Commute f g) (hf : IsPeriodicPt f m x) (hg : IsPeriodicPt g n x) : IsPeriodicPt (f ∘ g) (Nat.lcm m n) x := (hf.trans_dvd <| Nat.dvd_lcm_left _ _).comp hco (hg.trans_dvd <| Nat.dvd_lcm_right _ _) #align function.is_periodic_pt.comp_lcm Function.IsPeriodicPt.comp_lcm theorem left_of_comp {g : α → α} (hco : Commute f g) (hfg : IsPeriodicPt (f ∘ g) n x) (hg : IsPeriodicPt g n x) : IsPeriodicPt f n x := by rw [IsPeriodicPt, hco.comp_iterate] at hfg exact hfg.left_of_comp hg #align function.is_periodic_pt.left_of_comp Function.IsPeriodicPt.left_of_comp theorem iterate_mod_apply (h : IsPeriodicPt f n x) (m : ℕ) : f^[m % n] x = f^[m] x := by conv_rhs => rw [← Nat.mod_add_div m n, iterate_add_apply, (h.mul_const _).eq] #align function.is_periodic_pt.iterate_mod_apply Function.IsPeriodicPt.iterate_mod_apply protected theorem mod (hm : IsPeriodicPt f m x) (hn : IsPeriodicPt f n x) : IsPeriodicPt f (m % n) x := (hn.iterate_mod_apply m).trans hm #align function.is_periodic_pt.mod Function.IsPeriodicPt.mod protected theorem gcd (hm : IsPeriodicPt f m x) (hn : IsPeriodicPt f n x) : IsPeriodicPt f (m.gcd n) x := by revert hm hn refine Nat.gcd.induction m n (fun n _ hn => ?_) fun m n _ ih hm hn => ?_ · rwa [Nat.gcd_zero_left] · rw [Nat.gcd_rec] exact ih (hn.mod hm) hm #align function.is_periodic_pt.gcd Function.IsPeriodicPt.gcd
Mathlib/Dynamics/PeriodicPts.lean
182
184
theorem eq_of_apply_eq_same (hx : IsPeriodicPt f n x) (hy : IsPeriodicPt f n y) (hn : 0 < n) (h : f x = f y) : x = y := by
rw [← hx.eq, ← hy.eq, ← iterate_pred_comp_of_pos f hn, comp_apply, comp_apply, h]
import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.RingTheory.Derivation.Basic #align_import data.mv_polynomial.derivation from "leanprover-community/mathlib"@"b608348ffaeb7f557f2fd46876037abafd326ff3" namespace MvPolynomial noncomputable section variable {σ R A : Type*} [CommSemiring R] [AddCommMonoid A] [Module R A] [Module (MvPolynomial σ R) A] section variable (R) def mkDerivationₗ (f : σ → A) : MvPolynomial σ R →ₗ[R] A := Finsupp.lsum R fun xs : σ →₀ ℕ => (LinearMap.ringLmapEquivSelf R R A).symm <| xs.sum fun i k => monomial (xs - Finsupp.single i 1) (k : R) • f i #align mv_polynomial.mk_derivationₗ MvPolynomial.mkDerivationₗ end theorem mkDerivationₗ_monomial (f : σ → A) (s : σ →₀ ℕ) (r : R) : mkDerivationₗ R f (monomial s r) = r • s.sum fun i k => monomial (s - Finsupp.single i 1) (k : R) • f i := sum_monomial_eq <| LinearMap.map_zero _ #align mv_polynomial.mk_derivationₗ_monomial MvPolynomial.mkDerivationₗ_monomial theorem mkDerivationₗ_C (f : σ → A) (r : R) : mkDerivationₗ R f (C r) = 0 := (mkDerivationₗ_monomial f _ _).trans (smul_zero _) set_option linter.uppercaseLean3 false in #align mv_polynomial.mk_derivationₗ_C MvPolynomial.mkDerivationₗ_C theorem mkDerivationₗ_X (f : σ → A) (i : σ) : mkDerivationₗ R f (X i) = f i := (mkDerivationₗ_monomial f _ _).trans <| by simp set_option linter.uppercaseLean3 false in #align mv_polynomial.mk_derivationₗ_X MvPolynomial.mkDerivationₗ_X @[simp] theorem derivation_C (D : Derivation R (MvPolynomial σ R) A) (a : R) : D (C a) = 0 := D.map_algebraMap a set_option linter.uppercaseLean3 false in #align mv_polynomial.derivation_C MvPolynomial.derivation_C @[simp]
Mathlib/Algebra/MvPolynomial/Derivation.lean
65
68
theorem derivation_C_mul (D : Derivation R (MvPolynomial σ R) A) (a : R) (f : MvPolynomial σ R) : C (σ := σ) a • D f = a • D f := by
have : C (σ := σ) a • D f = D (C a * f) := by simp rw [this, C_mul', D.map_smul]
import Mathlib.GroupTheory.Sylow import Mathlib.GroupTheory.Transfer #align_import group_theory.schur_zassenhaus from "leanprover-community/mathlib"@"d57133e49cf06508700ef69030cd099917e0f0de" namespace Subgroup section SchurZassenhausAbelian open MulOpposite MulAction Subgroup.leftTransversals MemLeftTransversals variable {G : Type*} [Group G] (H : Subgroup G) [IsCommutative H] [FiniteIndex H] (α β : leftTransversals (H : Set G)) def QuotientDiff := Quotient (Setoid.mk (fun α β => diff (MonoidHom.id H) α β = 1) ⟨fun α => diff_self (MonoidHom.id H) α, fun h => by rw [← diff_inv, h, inv_one], fun h h' => by rw [← diff_mul_diff, h, h', one_mul]⟩) #align subgroup.quotient_diff Subgroup.QuotientDiff instance : Inhabited H.QuotientDiff := by dsimp [QuotientDiff] -- Porting note: Added `dsimp` infer_instance
Mathlib/GroupTheory/SchurZassenhaus.lean
48
62
theorem smul_diff_smul' [hH : Normal H] (g : Gᵐᵒᵖ) : diff (MonoidHom.id H) (g • α) (g • β) = ⟨g.unop⁻¹ * (diff (MonoidHom.id H) α β : H) * g.unop, hH.mem_comm ((congr_arg (· ∈ H) (mul_inv_cancel_left _ _)).mpr (SetLike.coe_mem _))⟩ := by
letI := H.fintypeQuotientOfFiniteIndex let ϕ : H →* H := { toFun := fun h => ⟨g.unop⁻¹ * h * g.unop, hH.mem_comm ((congr_arg (· ∈ H) (mul_inv_cancel_left _ _)).mpr (SetLike.coe_mem _))⟩ map_one' := by rw [Subtype.ext_iff, coe_mk, coe_one, mul_one, inv_mul_self] map_mul' := fun h₁ h₂ => by simp only [Subtype.ext_iff, coe_mk, coe_mul, mul_assoc, mul_inv_cancel_left] } refine (Fintype.prod_equiv (MulAction.toPerm g).symm _ _ fun x ↦ ?_).trans (map_prod ϕ _ _).symm simp only [ϕ, smul_apply_eq_smul_apply_inv_smul, smul_eq_mul_unop, mul_inv_rev, mul_assoc, MonoidHom.id_apply, toPerm_symm_apply, MonoidHom.coe_mk, OneHom.coe_mk]
import Mathlib.Order.Interval.Multiset #align_import data.nat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" -- TODO -- assert_not_exists Ring open Finset Nat variable (a b c : ℕ) namespace Nat instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ where finsetIcc a b := ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ finsetIco a b := ⟨List.range' a (b - a), List.nodup_range' _ _⟩ finsetIoc a b := ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ finsetIoo a b := ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ finset_mem_Icc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ico a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ioc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega finset_mem_Ioo a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega theorem Icc_eq_range' : Icc a b = ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ := rfl #align nat.Icc_eq_range' Nat.Icc_eq_range' theorem Ico_eq_range' : Ico a b = ⟨List.range' a (b - a), List.nodup_range' _ _⟩ := rfl #align nat.Ico_eq_range' Nat.Ico_eq_range' theorem Ioc_eq_range' : Ioc a b = ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ := rfl #align nat.Ioc_eq_range' Nat.Ioc_eq_range' theorem Ioo_eq_range' : Ioo a b = ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ := rfl #align nat.Ioo_eq_range' Nat.Ioo_eq_range' theorem uIcc_eq_range' : uIcc a b = ⟨List.range' (min a b) (max a b + 1 - min a b), List.nodup_range' _ _⟩ := rfl #align nat.uIcc_eq_range' Nat.uIcc_eq_range' theorem Iio_eq_range : Iio = range := by ext b x rw [mem_Iio, mem_range] #align nat.Iio_eq_range Nat.Iio_eq_range @[simp] theorem Ico_zero_eq_range : Ico 0 = range := by rw [← Nat.bot_eq_zero, ← Iio_eq_Ico, Iio_eq_range] #align nat.Ico_zero_eq_range Nat.Ico_zero_eq_range lemma range_eq_Icc_zero_sub_one (n : ℕ) (hn : n ≠ 0): range n = Icc 0 (n - 1) := by ext b simp_all only [mem_Icc, zero_le, true_and, mem_range] exact lt_iff_le_pred (zero_lt_of_ne_zero hn) theorem _root_.Finset.range_eq_Ico : range = Ico 0 := Ico_zero_eq_range.symm #align finset.range_eq_Ico Finset.range_eq_Ico @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := List.length_range' _ _ _ #align nat.card_Icc Nat.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := List.length_range' _ _ _ #align nat.card_Ico Nat.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := List.length_range' _ _ _ #align nat.card_Ioc Nat.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := List.length_range' _ _ _ #align nat.card_Ioo Nat.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := (card_Icc _ _).trans $ by rw [← Int.natCast_inj, sup_eq_max, inf_eq_min, Int.ofNat_sub] <;> omega #align nat.card_uIcc Nat.card_uIcc @[simp] lemma card_Iic : (Iic b).card = b + 1 := by rw [Iic_eq_Icc, card_Icc, Nat.bot_eq_zero, Nat.sub_zero] #align nat.card_Iic Nat.card_Iic @[simp] theorem card_Iio : (Iio b).card = b := by rw [Iio_eq_Ico, card_Ico, Nat.bot_eq_zero, Nat.sub_zero] #align nat.card_Iio Nat.card_Iio -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [Fintype.card_ofFinset, card_Icc] #align nat.card_fintype_Icc Nat.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by rw [Fintype.card_ofFinset, card_Ico] #align nat.card_fintype_Ico Nat.card_fintypeIco -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by rw [Fintype.card_ofFinset, card_Ioc] #align nat.card_fintype_Ioc Nat.card_fintypeIoc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by rw [Fintype.card_ofFinset, card_Ioo] #align nat.card_fintype_Ioo Nat.card_fintypeIoo -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIic : Fintype.card (Set.Iic b) = b + 1 := by rw [Fintype.card_ofFinset, card_Iic] #align nat.card_fintype_Iic Nat.card_fintypeIic -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIio : Fintype.card (Set.Iio b) = b := by rw [Fintype.card_ofFinset, card_Iio] #align nat.card_fintype_Iio Nat.card_fintypeIio -- TODO@Yaël: Generalize all the following lemmas to `SuccOrder` theorem Icc_succ_left : Icc a.succ b = Ioc a b := by ext x rw [mem_Icc, mem_Ioc, succ_le_iff] #align nat.Icc_succ_left Nat.Icc_succ_left theorem Ico_succ_right : Ico a b.succ = Icc a b := by ext x rw [mem_Ico, mem_Icc, Nat.lt_succ_iff] #align nat.Ico_succ_right Nat.Ico_succ_right theorem Ico_succ_left : Ico a.succ b = Ioo a b := by ext x rw [mem_Ico, mem_Ioo, succ_le_iff] #align nat.Ico_succ_left Nat.Ico_succ_left theorem Icc_pred_right {b : ℕ} (h : 0 < b) : Icc a (b - 1) = Ico a b := by ext x rw [mem_Icc, mem_Ico, lt_iff_le_pred h] #align nat.Icc_pred_right Nat.Icc_pred_right theorem Ico_succ_succ : Ico a.succ b.succ = Ioc a b := by ext x rw [mem_Ico, mem_Ioc, succ_le_iff, Nat.lt_succ_iff] #align nat.Ico_succ_succ Nat.Ico_succ_succ @[simp]
Mathlib/Order/Interval/Finset/Nat.lean
174
174
theorem Ico_succ_singleton : Ico a (a + 1) = {a} := by
rw [Ico_succ_right, Icc_self]
import Mathlib.Algebra.Ring.Divisibility.Basic import Mathlib.Init.Data.Ordering.Lemmas import Mathlib.SetTheory.Ordinal.Principal import Mathlib.Tactic.NormNum #align_import set_theory.ordinal.notation from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" set_option linter.uppercaseLean3 false open Ordinal Order -- Porting note: the generated theorem is warned by `simpNF`. set_option genSizeOfSpec false in inductive ONote : Type | zero : ONote | oadd : ONote → ℕ+ → ONote → ONote deriving DecidableEq #align onote ONote compile_inductive% ONote namespace ONote instance : Zero ONote := ⟨zero⟩ @[simp] theorem zero_def : zero = 0 := rfl #align onote.zero_def ONote.zero_def instance : Inhabited ONote := ⟨0⟩ instance : One ONote := ⟨oadd 0 1 0⟩ def omega : ONote := oadd 1 1 0 #align onote.omega ONote.omega @[simp] noncomputable def repr : ONote → Ordinal.{0} | 0 => 0 | oadd e n a => ω ^ repr e * n + repr a #align onote.repr ONote.repr def toStringAux1 (e : ONote) (n : ℕ) (s : String) : String := if e = 0 then toString n else (if e = 1 then "ω" else "ω^(" ++ s ++ ")") ++ if n = 1 then "" else "*" ++ toString n #align onote.to_string_aux1 ONote.toStringAux1 def toString : ONote → String | zero => "0" | oadd e n 0 => toStringAux1 e n (toString e) | oadd e n a => toStringAux1 e n (toString e) ++ " + " ++ toString a #align onote.to_string ONote.toString open Lean in def repr' (prec : ℕ) : ONote → Format | zero => "0" | oadd e n a => Repr.addAppParen ("oadd " ++ (repr' max_prec e) ++ " " ++ Nat.repr (n : ℕ) ++ " " ++ (repr' max_prec a)) prec #align onote.repr' ONote.repr instance : ToString ONote := ⟨toString⟩ instance : Repr ONote where reprPrec o prec := repr' prec o instance : Preorder ONote where le x y := repr x ≤ repr y lt x y := repr x < repr y le_refl _ := @le_refl Ordinal _ _ le_trans _ _ _ := @le_trans Ordinal _ _ _ _ lt_iff_le_not_le _ _ := @lt_iff_le_not_le Ordinal _ _ _ theorem lt_def {x y : ONote} : x < y ↔ repr x < repr y := Iff.rfl #align onote.lt_def ONote.lt_def theorem le_def {x y : ONote} : x ≤ y ↔ repr x ≤ repr y := Iff.rfl #align onote.le_def ONote.le_def instance : WellFoundedRelation ONote := ⟨(· < ·), InvImage.wf repr Ordinal.lt_wf⟩ @[coe] def ofNat : ℕ → ONote | 0 => 0 | Nat.succ n => oadd 0 n.succPNat 0 #align onote.of_nat ONote.ofNat -- Porting note (#11467): during the port we marked these lemmas with `@[eqns]` -- to emulate the old Lean 3 behaviour. @[simp] theorem ofNat_zero : ofNat 0 = 0 := rfl @[simp] theorem ofNat_succ (n) : ofNat (Nat.succ n) = oadd 0 n.succPNat 0 := rfl instance nat (n : ℕ) : OfNat ONote n where ofNat := ofNat n @[simp 1200] theorem ofNat_one : ofNat 1 = 1 := rfl #align onote.of_nat_one ONote.ofNat_one @[simp] theorem repr_ofNat (n : ℕ) : repr (ofNat n) = n := by cases n <;> simp #align onote.repr_of_nat ONote.repr_ofNat -- @[simp] -- Porting note (#10618): simp can prove this theorem repr_one : repr (ofNat 1) = (1 : ℕ) := repr_ofNat 1 #align onote.repr_one ONote.repr_one theorem omega_le_oadd (e n a) : ω ^ repr e ≤ repr (oadd e n a) := by refine le_trans ?_ (le_add_right _ _) simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e) omega_pos).2 (natCast_le.2 n.2) #align onote.omega_le_oadd ONote.omega_le_oadd theorem oadd_pos (e n a) : 0 < oadd e n a := @lt_of_lt_of_le _ _ _ (ω ^ repr e) _ (opow_pos (repr e) omega_pos) (omega_le_oadd e n a) #align onote.oadd_pos ONote.oadd_pos def cmp : ONote → ONote → Ordering | 0, 0 => Ordering.eq | _, 0 => Ordering.gt | 0, _ => Ordering.lt | _o₁@(oadd e₁ n₁ a₁), _o₂@(oadd e₂ n₂ a₂) => (cmp e₁ e₂).orElse <| (_root_.cmp (n₁ : ℕ) n₂).orElse (cmp a₁ a₂) #align onote.cmp ONote.cmp theorem eq_of_cmp_eq : ∀ {o₁ o₂}, cmp o₁ o₂ = Ordering.eq → o₁ = o₂ | 0, 0, _ => rfl | oadd e n a, 0, h => by injection h | 0, oadd e n a, h => by injection h | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h => by revert h; simp only [cmp] cases h₁ : cmp e₁ e₂ <;> intro h <;> try cases h obtain rfl := eq_of_cmp_eq h₁ revert h; cases h₂ : _root_.cmp (n₁ : ℕ) n₂ <;> intro h <;> try cases h obtain rfl := eq_of_cmp_eq h rw [_root_.cmp, cmpUsing_eq_eq] at h₂ obtain rfl := Subtype.eq (eq_of_incomp h₂) simp #align onote.eq_of_cmp_eq ONote.eq_of_cmp_eq protected theorem zero_lt_one : (0 : ONote) < 1 := by simp only [lt_def, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, zero_lt_one] #align onote.zero_lt_one ONote.zero_lt_one inductive NFBelow : ONote → Ordinal.{0} → Prop | zero {b} : NFBelow 0 b | oadd' {e n a eb b} : NFBelow e eb → NFBelow a (repr e) → repr e < b → NFBelow (oadd e n a) b #align onote.NF_below ONote.NFBelow class NF (o : ONote) : Prop where out : Exists (NFBelow o) #align onote.NF ONote.NF instance NF.zero : NF 0 := ⟨⟨0, NFBelow.zero⟩⟩ #align onote.NF.zero ONote.NF.zero theorem NFBelow.oadd {e n a b} : NF e → NFBelow a (repr e) → repr e < b → NFBelow (oadd e n a) b | ⟨⟨_, h⟩⟩ => NFBelow.oadd' h #align onote.NF_below.oadd ONote.NFBelow.oadd theorem NFBelow.fst {e n a b} (h : NFBelow (ONote.oadd e n a) b) : NF e := by cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact ⟨⟨_, h₁⟩⟩ #align onote.NF_below.fst ONote.NFBelow.fst theorem NF.fst {e n a} : NF (oadd e n a) → NF e | ⟨⟨_, h⟩⟩ => h.fst #align onote.NF.fst ONote.NF.fst theorem NFBelow.snd {e n a b} (h : NFBelow (ONote.oadd e n a) b) : NFBelow a (repr e) := by cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact h₂ #align onote.NF_below.snd ONote.NFBelow.snd theorem NF.snd' {e n a} : NF (oadd e n a) → NFBelow a (repr e) | ⟨⟨_, h⟩⟩ => h.snd #align onote.NF.snd' ONote.NF.snd' theorem NF.snd {e n a} (h : NF (oadd e n a)) : NF a := ⟨⟨_, h.snd'⟩⟩ #align onote.NF.snd ONote.NF.snd theorem NF.oadd {e a} (h₁ : NF e) (n) (h₂ : NFBelow a (repr e)) : NF (oadd e n a) := ⟨⟨_, NFBelow.oadd h₁ h₂ (lt_succ _)⟩⟩ #align onote.NF.oadd ONote.NF.oadd instance NF.oadd_zero (e n) [h : NF e] : NF (ONote.oadd e n 0) := h.oadd _ NFBelow.zero #align onote.NF.oadd_zero ONote.NF.oadd_zero theorem NFBelow.lt {e n a b} (h : NFBelow (ONote.oadd e n a) b) : repr e < b := by cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact h₃ #align onote.NF_below.lt ONote.NFBelow.lt theorem NFBelow_zero : ∀ {o}, NFBelow o 0 ↔ o = 0 | 0 => ⟨fun _ => rfl, fun _ => NFBelow.zero⟩ | oadd _ _ _ => ⟨fun h => (not_le_of_lt h.lt).elim (Ordinal.zero_le _), fun e => e.symm ▸ NFBelow.zero⟩ #align onote.NF_below_zero ONote.NFBelow_zero theorem NF.zero_of_zero {e n a} (h : NF (ONote.oadd e n a)) (e0 : e = 0) : a = 0 := by simpa [e0, NFBelow_zero] using h.snd' #align onote.NF.zero_of_zero ONote.NF.zero_of_zero theorem NFBelow.repr_lt {o b} (h : NFBelow o b) : repr o < ω ^ b := by induction' h with _ e n a eb b h₁ h₂ h₃ _ IH · exact opow_pos _ omega_pos · rw [repr] apply ((add_lt_add_iff_left _).2 IH).trans_le rw [← mul_succ] apply (mul_le_mul_left' (succ_le_of_lt (nat_lt_omega _)) _).trans rw [← opow_succ] exact opow_le_opow_right omega_pos (succ_le_of_lt h₃) #align onote.NF_below.repr_lt ONote.NFBelow.repr_lt theorem NFBelow.mono {o b₁ b₂} (bb : b₁ ≤ b₂) (h : NFBelow o b₁) : NFBelow o b₂ := by induction' h with _ e n a eb b h₁ h₂ h₃ _ _ <;> constructor exacts [h₁, h₂, lt_of_lt_of_le h₃ bb] #align onote.NF_below.mono ONote.NFBelow.mono theorem NF.below_of_lt {e n a b} (H : repr e < b) : NF (ONote.oadd e n a) → NFBelow (ONote.oadd e n a) b | ⟨⟨b', h⟩⟩ => by (cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact NFBelow.oadd' h₁ h₂ H) #align onote.NF.below_of_lt ONote.NF.below_of_lt theorem NF.below_of_lt' : ∀ {o b}, repr o < ω ^ b → NF o → NFBelow o b | 0, _, _, _ => NFBelow.zero | ONote.oadd _ _ _, _, H, h => h.below_of_lt <| (opow_lt_opow_iff_right one_lt_omega).1 <| lt_of_le_of_lt (omega_le_oadd _ _ _) H #align onote.NF.below_of_lt' ONote.NF.below_of_lt' theorem nfBelow_ofNat : ∀ n, NFBelow (ofNat n) 1 | 0 => NFBelow.zero | Nat.succ _ => NFBelow.oadd NF.zero NFBelow.zero zero_lt_one #align onote.NF_below_of_nat ONote.nfBelow_ofNat instance nf_ofNat (n) : NF (ofNat n) := ⟨⟨_, nfBelow_ofNat n⟩⟩ #align onote.NF_of_nat ONote.nf_ofNat instance nf_one : NF 1 := by rw [← ofNat_one]; infer_instance #align onote.NF_one ONote.nf_one theorem oadd_lt_oadd_1 {e₁ n₁ o₁ e₂ n₂ o₂} (h₁ : NF (oadd e₁ n₁ o₁)) (h : e₁ < e₂) : oadd e₁ n₁ o₁ < oadd e₂ n₂ o₂ := @lt_of_lt_of_le _ _ (repr (oadd e₁ n₁ o₁)) _ _ (NF.below_of_lt h h₁).repr_lt (omega_le_oadd e₂ n₂ o₂) #align onote.oadd_lt_oadd_1 ONote.oadd_lt_oadd_1 theorem oadd_lt_oadd_2 {e o₁ o₂ : ONote} {n₁ n₂ : ℕ+} (h₁ : NF (oadd e n₁ o₁)) (h : (n₁ : ℕ) < n₂) : oadd e n₁ o₁ < oadd e n₂ o₂ := by simp only [lt_def, repr] refine lt_of_lt_of_le ((add_lt_add_iff_left _).2 h₁.snd'.repr_lt) (le_trans ?_ (le_add_right _ _)) rwa [← mul_succ,Ordinal.mul_le_mul_iff_left (opow_pos _ omega_pos), succ_le_iff, natCast_lt] #align onote.oadd_lt_oadd_2 ONote.oadd_lt_oadd_2 theorem oadd_lt_oadd_3 {e n a₁ a₂} (h : a₁ < a₂) : oadd e n a₁ < oadd e n a₂ := by rw [lt_def]; unfold repr exact @add_lt_add_left _ _ _ _ (repr a₁) _ h _ #align onote.oadd_lt_oadd_3 ONote.oadd_lt_oadd_3 theorem cmp_compares : ∀ (a b : ONote) [NF a] [NF b], (cmp a b).Compares a b | 0, 0, _, _ => rfl | oadd e n a, 0, _, _ => oadd_pos _ _ _ | 0, oadd e n a, _, _ => oadd_pos _ _ _ | o₁@(oadd e₁ n₁ a₁), o₂@(oadd e₂ n₂ a₂), h₁, h₂ => by -- TODO: golf rw [cmp] have IHe := @cmp_compares _ _ h₁.fst h₂.fst simp only [Ordering.Compares, gt_iff_lt] at IHe; revert IHe cases cmp e₁ e₂ case lt => intro IHe; exact oadd_lt_oadd_1 h₁ IHe case gt => intro IHe; exact oadd_lt_oadd_1 h₂ IHe case eq => intro IHe; dsimp at IHe; subst IHe unfold _root_.cmp; cases nh : cmpUsing (· < ·) (n₁ : ℕ) n₂ <;> rw [cmpUsing, ite_eq_iff, not_lt] at nh case lt => cases' nh with nh nh · exact oadd_lt_oadd_2 h₁ nh.left · rw [ite_eq_iff] at nh; cases' nh.right with nh nh <;> cases nh <;> contradiction case gt => cases' nh with nh nh · cases nh; contradiction · cases' nh with _ nh rw [ite_eq_iff] at nh; cases' nh with nh nh · exact oadd_lt_oadd_2 h₂ nh.left · cases nh; contradiction cases' nh with nh nh · cases nh; contradiction cases' nh with nhl nhr rw [ite_eq_iff] at nhr cases' nhr with nhr nhr · cases nhr; contradiction obtain rfl := Subtype.eq (eq_of_incomp ⟨(not_lt_of_ge nhl), nhr.left⟩) have IHa := @cmp_compares _ _ h₁.snd h₂.snd revert IHa; cases cmp a₁ a₂ <;> intro IHa <;> dsimp at IHa case lt => exact oadd_lt_oadd_3 IHa case gt => exact oadd_lt_oadd_3 IHa subst IHa; exact rfl #align onote.cmp_compares ONote.cmp_compares theorem repr_inj {a b} [NF a] [NF b] : repr a = repr b ↔ a = b := ⟨fun e => match cmp a b, cmp_compares a b with | Ordering.lt, (h : repr a < repr b) => (ne_of_lt h e).elim | Ordering.gt, (h : repr a > repr b)=> (ne_of_gt h e).elim | Ordering.eq, h => h, congr_arg _⟩ #align onote.repr_inj ONote.repr_inj theorem NF.of_dvd_omega_opow {b e n a} (h : NF (ONote.oadd e n a)) (d : ω ^ b ∣ repr (ONote.oadd e n a)) : b ≤ repr e ∧ ω ^ b ∣ repr a := by have := mt repr_inj.1 (fun h => by injection h : ONote.oadd e n a ≠ 0) have L := le_of_not_lt fun l => not_le_of_lt (h.below_of_lt l).repr_lt (le_of_dvd this d) simp only [repr] at d exact ⟨L, (dvd_add_iff <| (opow_dvd_opow _ L).mul_right _).1 d⟩ #align onote.NF.of_dvd_omega_opow ONote.NF.of_dvd_omega_opow theorem NF.of_dvd_omega {e n a} (h : NF (ONote.oadd e n a)) : ω ∣ repr (ONote.oadd e n a) → repr e ≠ 0 ∧ ω ∣ repr a := by (rw [← opow_one ω, ← one_le_iff_ne_zero]; exact h.of_dvd_omega_opow) #align onote.NF.of_dvd_omega ONote.NF.of_dvd_omega def TopBelow (b : ONote) : ONote → Prop | 0 => True | oadd e _ _ => cmp e b = Ordering.lt #align onote.top_below ONote.TopBelow instance decidableTopBelow : DecidableRel TopBelow := by intro b o cases o <;> delta TopBelow <;> infer_instance #align onote.decidable_top_below ONote.decidableTopBelow theorem nfBelow_iff_topBelow {b} [NF b] : ∀ {o}, NFBelow o (repr b) ↔ NF o ∧ TopBelow b o | 0 => ⟨fun h => ⟨⟨⟨_, h⟩⟩, trivial⟩, fun _ => NFBelow.zero⟩ | oadd _ _ _ => ⟨fun h => ⟨⟨⟨_, h⟩⟩, (@cmp_compares _ b h.fst _).eq_lt.2 h.lt⟩, fun ⟨h₁, h₂⟩ => h₁.below_of_lt <| (@cmp_compares _ b h₁.fst _).eq_lt.1 h₂⟩ #align onote.NF_below_iff_top_below ONote.nfBelow_iff_topBelow instance decidableNF : DecidablePred NF | 0 => isTrue NF.zero | oadd e n a => by have := decidableNF e have := decidableNF a apply decidable_of_iff (NF e ∧ NF a ∧ TopBelow e a) rw [← and_congr_right fun h => @nfBelow_iff_topBelow _ h _] exact ⟨fun ⟨h₁, h₂⟩ => NF.oadd h₁ n h₂, fun h => ⟨h.fst, h.snd'⟩⟩ #align onote.decidable_NF ONote.decidableNF def addAux (e : ONote) (n : ℕ+) (o : ONote) : ONote := match o with | 0 => oadd e n 0 | o'@(oadd e' n' a') => match cmp e e' with | Ordering.lt => o' | Ordering.eq => oadd e (n + n') a' | Ordering.gt => oadd e n o' def add : ONote → ONote → ONote | 0, o => o | oadd e n a, o => addAux e n (add a o) #align onote.add ONote.add instance : Add ONote := ⟨add⟩ @[simp] theorem zero_add (o : ONote) : 0 + o = o := rfl #align onote.zero_add ONote.zero_add theorem oadd_add (e n a o) : oadd e n a + o = addAux e n (a + o) := rfl #align onote.oadd_add ONote.oadd_add def sub : ONote → ONote → ONote | 0, _ => 0 | o, 0 => o | o₁@(oadd e₁ n₁ a₁), oadd e₂ n₂ a₂ => match cmp e₁ e₂ with | Ordering.lt => 0 | Ordering.gt => o₁ | Ordering.eq => match (n₁ : ℕ) - n₂ with | 0 => if n₁ = n₂ then sub a₁ a₂ else 0 | Nat.succ k => oadd e₁ k.succPNat a₁ #align onote.sub ONote.sub instance : Sub ONote := ⟨sub⟩ theorem add_nfBelow {b} : ∀ {o₁ o₂}, NFBelow o₁ b → NFBelow o₂ b → NFBelow (o₁ + o₂) b | 0, _, _, h₂ => h₂ | oadd e n a, o, h₁, h₂ => by have h' := add_nfBelow (h₁.snd.mono <| le_of_lt h₁.lt) h₂ simp [oadd_add]; revert h'; cases' a + o with e' n' a' <;> intro h' · exact NFBelow.oadd h₁.fst NFBelow.zero h₁.lt have : ((e.cmp e').Compares e e') := @cmp_compares _ _ h₁.fst h'.fst cases h: cmp e e' <;> dsimp [addAux] <;> simp [h] · exact h' · simp [h] at this subst e' exact NFBelow.oadd h'.fst h'.snd h'.lt · simp [h] at this exact NFBelow.oadd h₁.fst (NF.below_of_lt this ⟨⟨_, h'⟩⟩) h₁.lt #align onote.add_NF_below ONote.add_nfBelow instance add_nf (o₁ o₂) : ∀ [NF o₁] [NF o₂], NF (o₁ + o₂) | ⟨⟨b₁, h₁⟩⟩, ⟨⟨b₂, h₂⟩⟩ => ⟨(le_total b₁ b₂).elim (fun h => ⟨b₂, add_nfBelow (h₁.mono h) h₂⟩) fun h => ⟨b₁, add_nfBelow h₁ (h₂.mono h)⟩⟩ #align onote.add_NF ONote.add_nf @[simp] theorem repr_add : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ + o₂) = repr o₁ + repr o₂ | 0, o, _, _ => by simp | oadd e n a, o, h₁, h₂ => by haveI := h₁.snd; have h' := repr_add a o conv_lhs at h' => simp [HAdd.hAdd, Add.add] have nf := ONote.add_nf a o conv at nf => simp [HAdd.hAdd, Add.add] conv in _ + o => simp [HAdd.hAdd, Add.add] cases' h : add a o with e' n' a' <;> simp only [Add.add, add, addAux, h'.symm, h, add_assoc, repr] at nf h₁ ⊢ have := h₁.fst; haveI := nf.fst; have ee := cmp_compares e e' cases he: cmp e e' <;> simp only [he, Ordering.compares_gt, Ordering.compares_lt, Ordering.compares_eq, repr, gt_iff_lt, PNat.add_coe, Nat.cast_add] at ee ⊢ · rw [← add_assoc, @add_absorp _ (repr e') (ω ^ repr e' * (n' : ℕ))] · have := (h₁.below_of_lt ee).repr_lt unfold repr at this cases he': e' <;> simp only [he', zero_def, opow_zero, repr, gt_iff_lt] at this ⊢ <;> exact lt_of_le_of_lt (le_add_right _ _) this · simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e') omega_pos).2 (natCast_le.2 n'.pos) · rw [ee, ← add_assoc, ← mul_add] #align onote.repr_add ONote.repr_add theorem sub_nfBelow : ∀ {o₁ o₂ b}, NFBelow o₁ b → NF o₂ → NFBelow (o₁ - o₂) b | 0, o, b, _, h₂ => by cases o <;> exact NFBelow.zero | oadd _ _ _, 0, _, h₁, _ => h₁ | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, b, h₁, h₂ => by have h' := sub_nfBelow h₁.snd h₂.snd simp only [HSub.hSub, Sub.sub, sub] at h' ⊢ have := @cmp_compares _ _ h₁.fst h₂.fst cases h : cmp e₁ e₂ <;> simp [sub] · apply NFBelow.zero · simp only [h, Ordering.compares_eq] at this subst e₂ cases (n₁ : ℕ) - n₂ <;> simp [sub] · by_cases en : n₁ = n₂ <;> simp [en] · exact h'.mono (le_of_lt h₁.lt) · exact NFBelow.zero · exact NFBelow.oadd h₁.fst h₁.snd h₁.lt · exact h₁ #align onote.sub_NF_below ONote.sub_nfBelow instance sub_nf (o₁ o₂) : ∀ [NF o₁] [NF o₂], NF (o₁ - o₂) | ⟨⟨b₁, h₁⟩⟩, h₂ => ⟨⟨b₁, sub_nfBelow h₁ h₂⟩⟩ #align onote.sub_NF ONote.sub_nf @[simp] theorem repr_sub : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ - o₂) = repr o₁ - repr o₂ | 0, o, _, h₂ => by cases o <;> exact (Ordinal.zero_sub _).symm | oadd e n a, 0, _, _ => (Ordinal.sub_zero _).symm | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h₁, h₂ => by haveI := h₁.snd; haveI := h₂.snd; have h' := repr_sub a₁ a₂ conv_lhs at h' => dsimp [HSub.hSub, Sub.sub, sub] conv_lhs => dsimp only [HSub.hSub, Sub.sub]; dsimp only [sub] have ee := @cmp_compares _ _ h₁.fst h₂.fst cases h : cmp e₁ e₂ <;> simp only [h] at ee · rw [Ordinal.sub_eq_zero_iff_le.2] · rfl exact le_of_lt (oadd_lt_oadd_1 h₁ ee) · change e₁ = e₂ at ee subst e₂ dsimp only cases mn : (n₁ : ℕ) - n₂ <;> dsimp only · by_cases en : n₁ = n₂ · simpa [en] · simp only [en, ite_false] exact (Ordinal.sub_eq_zero_iff_le.2 <| le_of_lt <| oadd_lt_oadd_2 h₁ <| lt_of_le_of_ne (tsub_eq_zero_iff_le.1 mn) (mt PNat.eq en)).symm · simp [Nat.succPNat] rw [(tsub_eq_iff_eq_add_of_le <| le_of_lt <| Nat.lt_of_sub_eq_succ mn).1 mn, add_comm, Nat.cast_add, mul_add, add_assoc, add_sub_add_cancel] refine (Ordinal.sub_eq_of_add_eq <| add_absorp h₂.snd'.repr_lt <| le_trans ?_ (le_add_right _ _)).symm simpa using mul_le_mul_left' (natCast_le.2 <| Nat.succ_pos _) _ · exact (Ordinal.sub_eq_of_add_eq <| add_absorp (h₂.below_of_lt ee).repr_lt <| omega_le_oadd _ _ _).symm #align onote.repr_sub ONote.repr_sub def mul : ONote → ONote → ONote | 0, _ => 0 | _, 0 => 0 | o₁@(oadd e₁ n₁ a₁), oadd e₂ n₂ a₂ => if e₂ = 0 then oadd e₁ (n₁ * n₂) a₁ else oadd (e₁ + e₂) n₂ (mul o₁ a₂) #align onote.mul ONote.mul instance : Mul ONote := ⟨mul⟩ instance : MulZeroClass ONote where mul := (· * ·) zero := 0 zero_mul o := by cases o <;> rfl mul_zero o := by cases o <;> rfl theorem oadd_mul (e₁ n₁ a₁ e₂ n₂ a₂) : oadd e₁ n₁ a₁ * oadd e₂ n₂ a₂ = if e₂ = 0 then oadd e₁ (n₁ * n₂) a₁ else oadd (e₁ + e₂) n₂ (oadd e₁ n₁ a₁ * a₂) := rfl #align onote.oadd_mul ONote.oadd_mul theorem oadd_mul_nfBelow {e₁ n₁ a₁ b₁} (h₁ : NFBelow (oadd e₁ n₁ a₁) b₁) : ∀ {o₂ b₂}, NFBelow o₂ b₂ → NFBelow (oadd e₁ n₁ a₁ * o₂) (repr e₁ + b₂) | 0, b₂, _ => NFBelow.zero | oadd e₂ n₂ a₂, b₂, h₂ => by have IH := oadd_mul_nfBelow h₁ h₂.snd by_cases e0 : e₂ = 0 <;> simp [e0, oadd_mul] · apply NFBelow.oadd h₁.fst h₁.snd simpa using (add_lt_add_iff_left (repr e₁)).2 (lt_of_le_of_lt (Ordinal.zero_le _) h₂.lt) · haveI := h₁.fst haveI := h₂.fst apply NFBelow.oadd · infer_instance · rwa [repr_add] · rw [repr_add, add_lt_add_iff_left] exact h₂.lt #align onote.oadd_mul_NF_below ONote.oadd_mul_nfBelow instance mul_nf : ∀ (o₁ o₂) [NF o₁] [NF o₂], NF (o₁ * o₂) | 0, o, _, h₂ => by cases o <;> exact NF.zero | oadd e n a, o, ⟨⟨b₁, hb₁⟩⟩, ⟨⟨b₂, hb₂⟩⟩ => ⟨⟨_, oadd_mul_nfBelow hb₁ hb₂⟩⟩ #align onote.mul_NF ONote.mul_nf @[simp] theorem repr_mul : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ * o₂) = repr o₁ * repr o₂ | 0, o, _, h₂ => by cases o <;> exact (zero_mul _).symm | oadd e₁ n₁ a₁, 0, _, _ => (mul_zero _).symm | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h₁, h₂ => by have IH : repr (mul _ _) = _ := @repr_mul _ _ h₁ h₂.snd conv => lhs simp [(· * ·)] have ao : repr a₁ + ω ^ repr e₁ * (n₁ : ℕ) = ω ^ repr e₁ * (n₁ : ℕ) := by apply add_absorp h₁.snd'.repr_lt simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos _ omega_pos).2 (natCast_le.2 n₁.2) by_cases e0 : e₂ = 0 <;> simp [e0, mul] · cases' Nat.exists_eq_succ_of_ne_zero n₂.ne_zero with x xe simp only [xe, h₂.zero_of_zero e0, repr, add_zero] rw [natCast_succ x, add_mul_succ _ ao, mul_assoc] · haveI := h₁.fst haveI := h₂.fst simp only [Mul.mul, mul, e0, ite_false, repr.eq_2, repr_add, opow_add, IH, repr, mul_add] rw [← mul_assoc] congr 2 have := mt repr_inj.1 e0 rw [add_mul_limit ao (opow_isLimit_left omega_isLimit this), mul_assoc, mul_omega_dvd (natCast_pos.2 n₁.pos) (nat_lt_omega _)] simpa using opow_dvd_opow ω (one_le_iff_ne_zero.2 this) #align onote.repr_mul ONote.repr_mul def split' : ONote → ONote × ℕ | 0 => (0, 0) | oadd e n a => if e = 0 then (0, n) else let (a', m) := split' a (oadd (e - 1) n a', m) #align onote.split' ONote.split' def split : ONote → ONote × ℕ | 0 => (0, 0) | oadd e n a => if e = 0 then (0, n) else let (a', m) := split a (oadd e n a', m) #align onote.split ONote.split def scale (x : ONote) : ONote → ONote | 0 => 0 | oadd e n a => oadd (x + e) n (scale x a) #align onote.scale ONote.scale def mulNat : ONote → ℕ → ONote | 0, _ => 0 | _, 0 => 0 | oadd e n a, m + 1 => oadd e (n * m.succPNat) a #align onote.mul_nat ONote.mulNat def opowAux (e a0 a : ONote) : ℕ → ℕ → ONote | _, 0 => 0 | 0, m + 1 => oadd e m.succPNat 0 | k + 1, m => scale (e + mulNat a0 k) a + (opowAux e a0 a k m) #align onote.opow_aux ONote.opowAux def opowAux2 (o₂ : ONote) (o₁ : ONote × ℕ) : ONote := match o₁ with | (0, 0) => if o₂ = 0 then 1 else 0 | (0, 1) => 1 | (0, m + 1) => let (b', k) := split' o₂ oadd b' (m.succPNat ^ k) 0 | (a@(oadd a0 _ _), m) => match split o₂ with | (b, 0) => oadd (a0 * b) 1 0 | (b, k + 1) => let eb := a0 * b scale (eb + mulNat a0 k) a + opowAux eb a0 (mulNat a m) k m def opow (o₁ o₂ : ONote) : ONote := opowAux2 o₂ (split o₁) #align onote.opow ONote.opow instance : Pow ONote ONote := ⟨opow⟩ theorem opow_def (o₁ o₂ : ONote) : o₁ ^ o₂ = opowAux2 o₂ (split o₁) := rfl #align onote.opow_def ONote.opow_def theorem split_eq_scale_split' : ∀ {o o' m} [NF o], split' o = (o', m) → split o = (scale 1 o', m) | 0, o', m, _, p => by injection p; substs o' m; rfl | oadd e n a, o', m, h, p => by by_cases e0 : e = 0 <;> simp [e0, split, split'] at p ⊢ · rcases p with ⟨rfl, rfl⟩ exact ⟨rfl, rfl⟩ · revert p cases' h' : split' a with a' m' haveI := h.fst haveI := h.snd simp only [split_eq_scale_split' h', and_imp] have : 1 + (e - 1) = e := by refine repr_inj.1 ?_ simp only [repr_add, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, repr_sub] have := mt repr_inj.1 e0 refine Ordinal.add_sub_cancel_of_le ?_ have := one_le_iff_ne_zero.2 this exact this intros substs o' m simp [scale, this] #align onote.split_eq_scale_split' ONote.split_eq_scale_split'
Mathlib/SetTheory/Ordinal/Notation.lean
734
759
theorem nf_repr_split' : ∀ {o o' m} [NF o], split' o = (o', m) → NF o' ∧ repr o = ω * repr o' + m | 0, o', m, _, p => by injection p; substs o' m; simp [NF.zero] | oadd e n a, o', m, h, p => by by_cases e0 : e = 0 <;> simp [e0, split, split'] at p ⊢ · rcases p with ⟨rfl, rfl⟩ simp [h.zero_of_zero e0, NF.zero] · revert p cases' h' : split' a with a' m' haveI := h.fst haveI := h.snd cases' nf_repr_split' h' with IH₁ IH₂ simp only [IH₂, and_imp] intros substs o' m have : (ω : Ordinal.{0}) ^ repr e = ω ^ (1 : Ordinal.{0}) * ω ^ (repr e - 1) := by
have := mt repr_inj.1 e0 rw [← opow_add, Ordinal.add_sub_cancel_of_le (one_le_iff_ne_zero.2 this)] refine ⟨NF.oadd (by infer_instance) _ ?_, ?_⟩ · simp at this ⊢ refine IH₁.below_of_lt' ((Ordinal.mul_lt_mul_iff_left omega_pos).1 <| lt_of_le_of_lt (le_add_right _ m') ?_) rw [← this, ← IH₂] exact h.snd'.repr_lt · rw [this] simp [mul_add, mul_assoc, add_assoc]
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic import Mathlib.LinearAlgebra.CliffordAlgebra.Fold import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.Dual #align_import linear_algebra.clifford_algebra.contraction from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open LinearMap (BilinForm) universe u1 u2 u3 variable {R : Type u1} [CommRing R] variable {M : Type u2} [AddCommGroup M] [Module R M] variable (Q : QuadraticForm R M) namespace CliffordAlgebra section contractLeft variable (d d' : Module.Dual R M) @[simps!] def contractLeftAux (d : Module.Dual R M) : M →ₗ[R] CliffordAlgebra Q × CliffordAlgebra Q →ₗ[R] CliffordAlgebra Q := haveI v_mul := (Algebra.lmul R (CliffordAlgebra Q)).toLinearMap ∘ₗ ι Q d.smulRight (LinearMap.fst _ (CliffordAlgebra Q) (CliffordAlgebra Q)) - v_mul.compl₂ (LinearMap.snd _ (CliffordAlgebra Q) _) #align clifford_algebra.contract_left_aux CliffordAlgebra.contractLeftAux theorem contractLeftAux_contractLeftAux (v : M) (x : CliffordAlgebra Q) (fx : CliffordAlgebra Q) : contractLeftAux Q d v (ι Q v * x, contractLeftAux Q d v (x, fx)) = Q v • fx := by simp only [contractLeftAux_apply_apply] rw [mul_sub, ← mul_assoc, ι_sq_scalar, ← Algebra.smul_def, ← sub_add, mul_smul_comm, sub_self, zero_add] #align clifford_algebra.contract_left_aux_contract_left_aux CliffordAlgebra.contractLeftAux_contractLeftAux variable {Q} def contractLeft : Module.Dual R M →ₗ[R] CliffordAlgebra Q →ₗ[R] CliffordAlgebra Q where toFun d := foldr' Q (contractLeftAux Q d) (contractLeftAux_contractLeftAux Q d) 0 map_add' d₁ d₂ := LinearMap.ext fun x => by dsimp only rw [LinearMap.add_apply] induction' x using CliffordAlgebra.left_induction with r x y hx hy m x hx · simp_rw [foldr'_algebraMap, smul_zero, zero_add] · rw [map_add, map_add, map_add, add_add_add_comm, hx, hy] · rw [foldr'_ι_mul, foldr'_ι_mul, foldr'_ι_mul, hx] dsimp only [contractLeftAux_apply_apply] rw [sub_add_sub_comm, mul_add, LinearMap.add_apply, add_smul] map_smul' c d := LinearMap.ext fun x => by dsimp only rw [LinearMap.smul_apply, RingHom.id_apply] induction' x using CliffordAlgebra.left_induction with r x y hx hy m x hx · simp_rw [foldr'_algebraMap, smul_zero] · rw [map_add, map_add, smul_add, hx, hy] · rw [foldr'_ι_mul, foldr'_ι_mul, hx] dsimp only [contractLeftAux_apply_apply] rw [LinearMap.smul_apply, smul_assoc, mul_smul_comm, smul_sub] #align clifford_algebra.contract_left CliffordAlgebra.contractLeft def contractRight : CliffordAlgebra Q →ₗ[R] Module.Dual R M →ₗ[R] CliffordAlgebra Q := LinearMap.flip (LinearMap.compl₂ (LinearMap.compr₂ contractLeft reverse) reverse) #align clifford_algebra.contract_right CliffordAlgebra.contractRight theorem contractRight_eq (x : CliffordAlgebra Q) : contractRight (Q := Q) x d = reverse (contractLeft (R := R) (M := M) d <| reverse x) := rfl #align clifford_algebra.contract_right_eq CliffordAlgebra.contractRight_eq local infixl:70 "⌋" => contractLeft (R := R) (M := M) local infixl:70 "⌊" => contractRight (R := R) (M := M) (Q := Q) -- Porting note: Lean needs to be reminded of this instance otherwise the statement of the -- next result times out instance : SMul R (CliffordAlgebra Q) := inferInstance theorem contractLeft_ι_mul (a : M) (b : CliffordAlgebra Q) : d⌋(ι Q a * b) = d a • b - ι Q a * (d⌋b) := by -- Porting note: Lean cannot figure out anymore the third argument refine foldr'_ι_mul _ _ ?_ _ _ _ exact fun m x fx ↦ contractLeftAux_contractLeftAux Q d m x fx #align clifford_algebra.contract_left_ι_mul CliffordAlgebra.contractLeft_ι_mul theorem contractRight_mul_ι (a : M) (b : CliffordAlgebra Q) : b * ι Q a⌊d = d a • b - b⌊d * ι Q a := by rw [contractRight_eq, reverse.map_mul, reverse_ι, contractLeft_ι_mul, map_sub, map_smul, reverse_reverse, reverse.map_mul, reverse_ι, contractRight_eq] #align clifford_algebra.contract_right_mul_ι CliffordAlgebra.contractRight_mul_ι theorem contractLeft_algebraMap_mul (r : R) (b : CliffordAlgebra Q) : d⌋(algebraMap _ _ r * b) = algebraMap _ _ r * (d⌋b) := by rw [← Algebra.smul_def, map_smul, Algebra.smul_def] #align clifford_algebra.contract_left_algebra_map_mul CliffordAlgebra.contractLeft_algebraMap_mul theorem contractLeft_mul_algebraMap (a : CliffordAlgebra Q) (r : R) : d⌋(a * algebraMap _ _ r) = d⌋a * algebraMap _ _ r := by rw [← Algebra.commutes, contractLeft_algebraMap_mul, Algebra.commutes] #align clifford_algebra.contract_left_mul_algebra_map CliffordAlgebra.contractLeft_mul_algebraMap theorem contractRight_algebraMap_mul (r : R) (b : CliffordAlgebra Q) : algebraMap _ _ r * b⌊d = algebraMap _ _ r * (b⌊d) := by rw [← Algebra.smul_def, LinearMap.map_smul₂, Algebra.smul_def] #align clifford_algebra.contract_right_algebra_map_mul CliffordAlgebra.contractRight_algebraMap_mul theorem contractRight_mul_algebraMap (a : CliffordAlgebra Q) (r : R) : a * algebraMap _ _ r⌊d = a⌊d * algebraMap _ _ r := by rw [← Algebra.commutes, contractRight_algebraMap_mul, Algebra.commutes] #align clifford_algebra.contract_right_mul_algebra_map CliffordAlgebra.contractRight_mul_algebraMap variable (Q) @[simp] theorem contractLeft_ι (x : M) : d⌋ι Q x = algebraMap R _ (d x) := by -- Porting note: Lean cannot figure out anymore the third argument refine (foldr'_ι _ _ ?_ _ _).trans <| by simp_rw [contractLeftAux_apply_apply, mul_zero, sub_zero, Algebra.algebraMap_eq_smul_one] exact fun m x fx ↦ contractLeftAux_contractLeftAux Q d m x fx #align clifford_algebra.contract_left_ι CliffordAlgebra.contractLeft_ι @[simp] theorem contractRight_ι (x : M) : ι Q x⌊d = algebraMap R _ (d x) := by rw [contractRight_eq, reverse_ι, contractLeft_ι, reverse.commutes] #align clifford_algebra.contract_right_ι CliffordAlgebra.contractRight_ι @[simp] theorem contractLeft_algebraMap (r : R) : d⌋algebraMap R (CliffordAlgebra Q) r = 0 := by -- Porting note: Lean cannot figure out anymore the third argument refine (foldr'_algebraMap _ _ ?_ _ _).trans <| smul_zero _ exact fun m x fx ↦ contractLeftAux_contractLeftAux Q d m x fx #align clifford_algebra.contract_left_algebra_map CliffordAlgebra.contractLeft_algebraMap @[simp] theorem contractRight_algebraMap (r : R) : algebraMap R (CliffordAlgebra Q) r⌊d = 0 := by rw [contractRight_eq, reverse.commutes, contractLeft_algebraMap, map_zero] #align clifford_algebra.contract_right_algebra_map CliffordAlgebra.contractRight_algebraMap @[simp] theorem contractLeft_one : d⌋(1 : CliffordAlgebra Q) = 0 := by simpa only [map_one] using contractLeft_algebraMap Q d 1 #align clifford_algebra.contract_left_one CliffordAlgebra.contractLeft_one @[simp] theorem contractRight_one : (1 : CliffordAlgebra Q)⌊d = 0 := by simpa only [map_one] using contractRight_algebraMap Q d 1 #align clifford_algebra.contract_right_one CliffordAlgebra.contractRight_one variable {Q} theorem contractLeft_contractLeft (x : CliffordAlgebra Q) : d⌋(d⌋x) = 0 := by induction' x using CliffordAlgebra.left_induction with r x y hx hy m x hx · simp_rw [contractLeft_algebraMap, map_zero] · rw [map_add, map_add, hx, hy, add_zero] · rw [contractLeft_ι_mul, map_sub, contractLeft_ι_mul, hx, LinearMap.map_smul, mul_zero, sub_zero, sub_self] #align clifford_algebra.contract_left_contract_left CliffordAlgebra.contractLeft_contractLeft theorem contractRight_contractRight (x : CliffordAlgebra Q) : x⌊d⌊d = 0 := by rw [contractRight_eq, contractRight_eq, reverse_reverse, contractLeft_contractLeft, map_zero] #align clifford_algebra.contract_right_contract_right CliffordAlgebra.contractRight_contractRight
Mathlib/LinearAlgebra/CliffordAlgebra/Contraction.lean
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theorem contractLeft_comm (x : CliffordAlgebra Q) : d⌋(d'⌋x) = -(d'⌋(d⌋x)) := by
induction' x using CliffordAlgebra.left_induction with r x y hx hy m x hx · simp_rw [contractLeft_algebraMap, map_zero, neg_zero] · rw [map_add, map_add, map_add, map_add, hx, hy, neg_add] · simp only [contractLeft_ι_mul, map_sub, LinearMap.map_smul] rw [neg_sub, sub_sub_eq_add_sub, hx, mul_neg, ← sub_eq_add_neg]
import Mathlib.Analysis.Calculus.Deriv.AffineMap import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.Calculus.Deriv.Mul import Mathlib.Analysis.Calculus.Deriv.Comp import Mathlib.Analysis.Calculus.LocalExtr.Rolle import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.RCLike.Basic #align_import analysis.calculus.mean_value from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics ContinuousLinearMap Filter open scoped Classical Topology NNReal theorem image_le_of_liminf_slope_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) -- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x` (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by change Icc a b ⊆ { x | f x ≤ B x } set s := { x | f x ≤ B x } ∩ Icc a b have A : ContinuousOn (fun x => (f x, B x)) (Icc a b) := hf.prod hB have : IsClosed s := by simp only [s, inter_comm] exact A.preimage_isClosed_of_isClosed isClosed_Icc OrderClosedTopology.isClosed_le' apply this.Icc_subset_of_forall_exists_gt ha rintro x ⟨hxB : f x ≤ B x, xab⟩ y hy cases' hxB.lt_or_eq with hxB hxB · -- If `f x < B x`, then all we need is continuity of both sides refine nonempty_of_mem (inter_mem ?_ (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩)) have : ∀ᶠ x in 𝓝[Icc a b] x, f x < B x := A x (Ico_subset_Icc_self xab) (IsOpen.mem_nhds (isOpen_lt continuous_fst continuous_snd) hxB) have : ∀ᶠ x in 𝓝[>] x, f x < B x := nhdsWithin_le_of_mem (Icc_mem_nhdsWithin_Ioi xab) this exact this.mono fun y => le_of_lt · rcases exists_between (bound x xab hxB) with ⟨r, hfr, hrB⟩ specialize hf' x xab r hfr have HB : ∀ᶠ z in 𝓝[>] x, r < slope B x z := (hasDerivWithinAt_iff_tendsto_slope' <| lt_irrefl x).1 (hB' x xab).Ioi_of_Ici (Ioi_mem_nhds hrB) obtain ⟨z, hfz, hzB, hz⟩ : ∃ z, slope f x z < r ∧ r < slope B x z ∧ z ∈ Ioc x y := (hf'.and_eventually (HB.and (Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, hy⟩))).exists refine ⟨z, ?_, hz⟩ have := (hfz.trans hzB).le rwa [slope_def_field, slope_def_field, div_le_div_right (sub_pos.2 hz.1), hxB, sub_le_sub_iff_right] at this #align image_le_of_liminf_slope_right_lt_deriv_boundary' image_le_of_liminf_slope_right_lt_deriv_boundary' theorem image_le_of_liminf_slope_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) -- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x` (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_liminf_slope_right_lt_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_le_of_liminf_slope_right_lt_deriv_boundary image_le_of_liminf_slope_right_lt_deriv_boundary theorem image_le_of_liminf_slope_right_le_deriv_boundary {f : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) -- `bound` actually says `liminf (f z - f x) / (z - x) ≤ B' x` (bound : ∀ x ∈ Ico a b, ∀ r, B' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by have Hr : ∀ x ∈ Icc a b, ∀ r > 0, f x ≤ B x + r * (x - a) := fun x hx r hr => by apply image_le_of_liminf_slope_right_lt_deriv_boundary' hf bound · rwa [sub_self, mul_zero, add_zero] · exact hB.add (continuousOn_const.mul (continuousOn_id.sub continuousOn_const)) · intro x hx exact (hB' x hx).add (((hasDerivWithinAt_id x (Ici x)).sub_const a).const_mul r) · intro x _ _ rw [mul_one] exact (lt_add_iff_pos_right _).2 hr exact hx intro x hx have : ContinuousWithinAt (fun r => B x + r * (x - a)) (Ioi 0) 0 := continuousWithinAt_const.add (continuousWithinAt_id.mul continuousWithinAt_const) convert continuousWithinAt_const.closure_le _ this (Hr x hx) using 1 <;> simp #align image_le_of_liminf_slope_right_le_deriv_boundary image_le_of_liminf_slope_right_le_deriv_boundary theorem image_le_of_deriv_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_liminf_slope_right_lt_deriv_boundary' hf (fun x hx _ hr => (hf' x hx).liminf_right_slope_le hr) ha hB hB' bound #align image_le_of_deriv_right_lt_deriv_boundary' image_le_of_deriv_right_lt_deriv_boundary' theorem image_le_of_deriv_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_deriv_right_lt_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_le_of_deriv_right_lt_deriv_boundary image_le_of_deriv_right_lt_deriv_boundary theorem image_le_of_deriv_right_le_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, f' x ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := image_le_of_liminf_slope_right_le_deriv_boundary hf ha hB hB' fun x hx _ hr => (hf' x hx).liminf_right_slope_le (lt_of_le_of_lt (bound x hx) hr) #align image_le_of_deriv_right_le_deriv_boundary image_le_of_deriv_right_le_deriv_boundary section variable {f : ℝ → E} {a b : ℝ} theorem image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary {E : Type*} [NormedAddCommGroup E] {f : ℝ → E} {f' : ℝ → ℝ} (hf : ContinuousOn f (Icc a b)) -- `hf'` actually says `liminf (‖f z‖ - ‖f x‖) / (z - x) ≤ f' x` (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope (norm ∘ f) x z < r) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_le_of_liminf_slope_right_lt_deriv_boundary' (continuous_norm.comp_continuousOn hf) hf' ha hB hB' bound #align image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary' {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary hf (fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le hr) ha hB hB' bound #align image_norm_le_of_norm_deriv_right_lt_deriv_boundary' image_norm_le_of_norm_deriv_right_lt_deriv_boundary' theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_norm_le_of_norm_deriv_right_lt_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_norm_le_of_norm_deriv_right_lt_deriv_boundary image_norm_le_of_norm_deriv_right_lt_deriv_boundary theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary' {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b)) (hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_le_of_liminf_slope_right_le_deriv_boundary (continuous_norm.comp_continuousOn hf) ha hB hB' fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le ((bound x hx).trans_lt hr) #align image_norm_le_of_norm_deriv_right_le_deriv_boundary' image_norm_le_of_norm_deriv_right_le_deriv_boundary' theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary {f' : ℝ → E} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) {B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x := image_norm_le_of_norm_deriv_right_le_deriv_boundary' hf hf' ha (fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound #align image_norm_le_of_norm_deriv_right_le_deriv_boundary image_norm_le_of_norm_deriv_right_le_deriv_boundary theorem norm_image_sub_le_of_norm_deriv_right_le_segment {f' : ℝ → E} {C : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by let g x := f x - f a have hg : ContinuousOn g (Icc a b) := hf.sub continuousOn_const have hg' : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x := by intro x hx simpa using (hf' x hx).sub (hasDerivWithinAt_const _ _ _) let B x := C * (x - a) have hB : ∀ x, HasDerivAt B C x := by intro x simpa using (hasDerivAt_const x C).mul ((hasDerivAt_id x).sub (hasDerivAt_const x a)) convert image_norm_le_of_norm_deriv_right_le_deriv_boundary hg hg' _ hB bound simp only [g, B]; rw [sub_self, norm_zero, sub_self, mul_zero] #align norm_image_sub_le_of_norm_deriv_right_le_segment norm_image_sub_le_of_norm_deriv_right_le_segment theorem norm_image_sub_le_of_norm_deriv_le_segment' {f' : ℝ → E} {C : ℝ} (hf : ∀ x ∈ Icc a b, HasDerivWithinAt f (f' x) (Icc a b) x) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by refine norm_image_sub_le_of_norm_deriv_right_le_segment (fun x hx => (hf x hx).continuousWithinAt) (fun x hx => ?_) bound exact (hf x <| Ico_subset_Icc_self hx).mono_of_mem (Icc_mem_nhdsWithin_Ici hx) #align norm_image_sub_le_of_norm_deriv_le_segment' norm_image_sub_le_of_norm_deriv_le_segment' theorem norm_image_sub_le_of_norm_deriv_le_segment {C : ℝ} (hf : DifferentiableOn ℝ f (Icc a b)) (bound : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by refine norm_image_sub_le_of_norm_deriv_le_segment' ?_ bound exact fun x hx => (hf x hx).hasDerivWithinAt #align norm_image_sub_le_of_norm_deriv_le_segment norm_image_sub_le_of_norm_deriv_le_segment theorem norm_image_sub_le_of_norm_deriv_le_segment_01' {f' : ℝ → E} {C : ℝ} (hf : ∀ x ∈ Icc (0 : ℝ) 1, HasDerivWithinAt f (f' x) (Icc (0 : ℝ) 1) x) (bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖f' x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by simpa only [sub_zero, mul_one] using norm_image_sub_le_of_norm_deriv_le_segment' hf bound 1 (right_mem_Icc.2 zero_le_one) #align norm_image_sub_le_of_norm_deriv_le_segment_01' norm_image_sub_le_of_norm_deriv_le_segment_01' theorem norm_image_sub_le_of_norm_deriv_le_segment_01 {C : ℝ} (hf : DifferentiableOn ℝ f (Icc (0 : ℝ) 1)) (bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖derivWithin f (Icc (0 : ℝ) 1) x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by simpa only [sub_zero, mul_one] using norm_image_sub_le_of_norm_deriv_le_segment hf bound 1 (right_mem_Icc.2 zero_le_one) #align norm_image_sub_le_of_norm_deriv_le_segment_01 norm_image_sub_le_of_norm_deriv_le_segment_01 theorem constant_of_has_deriv_right_zero (hcont : ContinuousOn f (Icc a b)) (hderiv : ∀ x ∈ Ico a b, HasDerivWithinAt f 0 (Ici x) x) : ∀ x ∈ Icc a b, f x = f a := by have : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ 0 * (x - a) := fun x hx => norm_image_sub_le_of_norm_deriv_right_le_segment hcont hderiv (fun _ _ => norm_zero.le) x hx simpa only [zero_mul, norm_le_zero_iff, sub_eq_zero] using this #align constant_of_has_deriv_right_zero constant_of_has_deriv_right_zero theorem constant_of_derivWithin_zero (hdiff : DifferentiableOn ℝ f (Icc a b)) (hderiv : ∀ x ∈ Ico a b, derivWithin f (Icc a b) x = 0) : ∀ x ∈ Icc a b, f x = f a := by have H : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ 0 := by simpa only [norm_le_zero_iff] using fun x hx => hderiv x hx simpa only [zero_mul, norm_le_zero_iff, sub_eq_zero] using fun x hx => norm_image_sub_le_of_norm_deriv_le_segment hdiff H x hx #align constant_of_deriv_within_zero constant_of_derivWithin_zero variable {f' g : ℝ → E} theorem eq_of_has_deriv_right_eq (derivf : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) (derivg : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x) (fcont : ContinuousOn f (Icc a b)) (gcont : ContinuousOn g (Icc a b)) (hi : f a = g a) : ∀ y ∈ Icc a b, f y = g y := by simp only [← @sub_eq_zero _ _ (f _)] at hi ⊢ exact hi ▸ constant_of_has_deriv_right_zero (fcont.sub gcont) fun y hy => by simpa only [sub_self] using (derivf y hy).sub (derivg y hy) #align eq_of_has_deriv_right_eq eq_of_has_deriv_right_eq theorem eq_of_derivWithin_eq (fdiff : DifferentiableOn ℝ f (Icc a b)) (gdiff : DifferentiableOn ℝ g (Icc a b)) (hderiv : EqOn (derivWithin f (Icc a b)) (derivWithin g (Icc a b)) (Ico a b)) (hi : f a = g a) : ∀ y ∈ Icc a b, f y = g y := by have A : ∀ y ∈ Ico a b, HasDerivWithinAt f (derivWithin f (Icc a b) y) (Ici y) y := fun y hy => (fdiff y (mem_Icc_of_Ico hy)).hasDerivWithinAt.mono_of_mem (Icc_mem_nhdsWithin_Ici hy) have B : ∀ y ∈ Ico a b, HasDerivWithinAt g (derivWithin g (Icc a b) y) (Ici y) y := fun y hy => (gdiff y (mem_Icc_of_Ico hy)).hasDerivWithinAt.mono_of_mem (Icc_mem_nhdsWithin_Ici hy) exact eq_of_has_deriv_right_eq A (fun y hy => (hderiv hy).symm ▸ B y hy) fdiff.continuousOn gdiff.continuousOn hi #align eq_of_deriv_within_eq eq_of_derivWithin_eq end section variable {𝕜 G : Type*} [RCLike 𝕜] [NormedSpace 𝕜 E] [NormedAddCommGroup G] [NormedSpace 𝕜 G] namespace Convex variable {f g : E → G} {C : ℝ} {s : Set E} {x y : E} {f' g' : E → E →L[𝕜] G} {φ : E →L[𝕜] G} theorem norm_image_sub_le_of_norm_hasFDerivWithin_le (hf : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (bound : ∀ x ∈ s, ‖f' x‖ ≤ C) (hs : Convex ℝ s) (xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x‖ ≤ C * ‖y - x‖ := by letI : NormedSpace ℝ G := RestrictScalars.normedSpace ℝ 𝕜 G set g := (AffineMap.lineMap x y : ℝ → E) have segm : MapsTo g (Icc 0 1 : Set ℝ) s := hs.mapsTo_lineMap xs ys have hD : ∀ t ∈ Icc (0 : ℝ) 1, HasDerivWithinAt (f ∘ g) (f' (g t) (y - x)) (Icc 0 1) t := fun t ht => by simpa using ((hf (g t) (segm ht)).restrictScalars ℝ).comp_hasDerivWithinAt _ AffineMap.hasDerivWithinAt_lineMap segm have bound : ∀ t ∈ Ico (0 : ℝ) 1, ‖f' (g t) (y - x)‖ ≤ C * ‖y - x‖ := fun t ht => le_of_opNorm_le _ (bound _ <| segm <| Ico_subset_Icc_self ht) _ simpa [g] using norm_image_sub_le_of_norm_deriv_le_segment_01' hD bound #align convex.norm_image_sub_le_of_norm_has_fderiv_within_le Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le theorem lipschitzOnWith_of_nnnorm_hasFDerivWithin_le {C : ℝ≥0} (hf : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (bound : ∀ x ∈ s, ‖f' x‖₊ ≤ C) (hs : Convex ℝ s) : LipschitzOnWith C f s := by rw [lipschitzOnWith_iff_norm_sub_le] intro x x_in y y_in exact hs.norm_image_sub_le_of_norm_hasFDerivWithin_le hf bound y_in x_in #align convex.lipschitz_on_with_of_nnnorm_has_fderiv_within_le Convex.lipschitzOnWith_of_nnnorm_hasFDerivWithin_le theorem exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt_of_nnnorm_lt (hs : Convex ℝ s) {f : E → G} (hder : ∀ᶠ y in 𝓝[s] x, HasFDerivWithinAt f (f' y) s y) (hcont : ContinuousWithinAt f' s x) (K : ℝ≥0) (hK : ‖f' x‖₊ < K) : ∃ t ∈ 𝓝[s] x, LipschitzOnWith K f t := by obtain ⟨ε, ε0, hε⟩ : ∃ ε > 0, ball x ε ∩ s ⊆ { y | HasFDerivWithinAt f (f' y) s y ∧ ‖f' y‖₊ < K } := mem_nhdsWithin_iff.1 (hder.and <| hcont.nnnorm.eventually (gt_mem_nhds hK)) rw [inter_comm] at hε refine ⟨s ∩ ball x ε, inter_mem_nhdsWithin _ (ball_mem_nhds _ ε0), ?_⟩ exact (hs.inter (convex_ball _ _)).lipschitzOnWith_of_nnnorm_hasFDerivWithin_le (fun y hy => (hε hy).1.mono inter_subset_left) fun y hy => (hε hy).2.le #align convex.exists_nhds_within_lipschitz_on_with_of_has_fderiv_within_at_of_nnnorm_lt Convex.exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt_of_nnnorm_lt theorem exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt (hs : Convex ℝ s) {f : E → G} (hder : ∀ᶠ y in 𝓝[s] x, HasFDerivWithinAt f (f' y) s y) (hcont : ContinuousWithinAt f' s x) : ∃ K, ∃ t ∈ 𝓝[s] x, LipschitzOnWith K f t := (exists_gt _).imp <| hs.exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt_of_nnnorm_lt hder hcont #align convex.exists_nhds_within_lipschitz_on_with_of_has_fderiv_within_at Convex.exists_nhdsWithin_lipschitzOnWith_of_hasFDerivWithinAt theorem norm_image_sub_le_of_norm_fderivWithin_le (hf : DifferentiableOn 𝕜 f s) (bound : ∀ x ∈ s, ‖fderivWithin 𝕜 f s x‖ ≤ C) (hs : Convex ℝ s) (xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x‖ ≤ C * ‖y - x‖ := hs.norm_image_sub_le_of_norm_hasFDerivWithin_le (fun x hx => (hf x hx).hasFDerivWithinAt) bound xs ys #align convex.norm_image_sub_le_of_norm_fderiv_within_le Convex.norm_image_sub_le_of_norm_fderivWithin_le theorem lipschitzOnWith_of_nnnorm_fderivWithin_le {C : ℝ≥0} (hf : DifferentiableOn 𝕜 f s) (bound : ∀ x ∈ s, ‖fderivWithin 𝕜 f s x‖₊ ≤ C) (hs : Convex ℝ s) : LipschitzOnWith C f s := hs.lipschitzOnWith_of_nnnorm_hasFDerivWithin_le (fun x hx => (hf x hx).hasFDerivWithinAt) bound #align convex.lipschitz_on_with_of_nnnorm_fderiv_within_le Convex.lipschitzOnWith_of_nnnorm_fderivWithin_le theorem norm_image_sub_le_of_norm_fderiv_le (hf : ∀ x ∈ s, DifferentiableAt 𝕜 f x) (bound : ∀ x ∈ s, ‖fderiv 𝕜 f x‖ ≤ C) (hs : Convex ℝ s) (xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x‖ ≤ C * ‖y - x‖ := hs.norm_image_sub_le_of_norm_hasFDerivWithin_le (fun x hx => (hf x hx).hasFDerivAt.hasFDerivWithinAt) bound xs ys #align convex.norm_image_sub_le_of_norm_fderiv_le Convex.norm_image_sub_le_of_norm_fderiv_le theorem lipschitzOnWith_of_nnnorm_fderiv_le {C : ℝ≥0} (hf : ∀ x ∈ s, DifferentiableAt 𝕜 f x) (bound : ∀ x ∈ s, ‖fderiv 𝕜 f x‖₊ ≤ C) (hs : Convex ℝ s) : LipschitzOnWith C f s := hs.lipschitzOnWith_of_nnnorm_hasFDerivWithin_le (fun x hx => (hf x hx).hasFDerivAt.hasFDerivWithinAt) bound #align convex.lipschitz_on_with_of_nnnorm_fderiv_le Convex.lipschitzOnWith_of_nnnorm_fderiv_le theorem _root_.lipschitzWith_of_nnnorm_fderiv_le {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {f : E → G} {C : ℝ≥0} (hf : Differentiable 𝕜 f) (bound : ∀ x, ‖fderiv 𝕜 f x‖₊ ≤ C) : LipschitzWith C f := by let A : NormedSpace ℝ E := RestrictScalars.normedSpace ℝ 𝕜 E rw [← lipschitzOn_univ] exact lipschitzOnWith_of_nnnorm_fderiv_le (fun x _ ↦ hf x) (fun x _ ↦ bound x) convex_univ theorem norm_image_sub_le_of_norm_hasFDerivWithin_le' (hf : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (bound : ∀ x ∈ s, ‖f' x - φ‖ ≤ C) (hs : Convex ℝ s) (xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x - φ (y - x)‖ ≤ C * ‖y - x‖ := by let g y := f y - φ y have hg : ∀ x ∈ s, HasFDerivWithinAt g (f' x - φ) s x := fun x xs => (hf x xs).sub φ.hasFDerivWithinAt calc ‖f y - f x - φ (y - x)‖ = ‖f y - f x - (φ y - φ x)‖ := by simp _ = ‖f y - φ y - (f x - φ x)‖ := by congr 1; abel _ = ‖g y - g x‖ := by simp _ ≤ C * ‖y - x‖ := Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le hg bound hs xs ys #align convex.norm_image_sub_le_of_norm_has_fderiv_within_le' Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le' theorem norm_image_sub_le_of_norm_fderivWithin_le' (hf : DifferentiableOn 𝕜 f s) (bound : ∀ x ∈ s, ‖fderivWithin 𝕜 f s x - φ‖ ≤ C) (hs : Convex ℝ s) (xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x - φ (y - x)‖ ≤ C * ‖y - x‖ := hs.norm_image_sub_le_of_norm_hasFDerivWithin_le' (fun x hx => (hf x hx).hasFDerivWithinAt) bound xs ys #align convex.norm_image_sub_le_of_norm_fderiv_within_le' Convex.norm_image_sub_le_of_norm_fderivWithin_le' theorem norm_image_sub_le_of_norm_fderiv_le' (hf : ∀ x ∈ s, DifferentiableAt 𝕜 f x) (bound : ∀ x ∈ s, ‖fderiv 𝕜 f x - φ‖ ≤ C) (hs : Convex ℝ s) (xs : x ∈ s) (ys : y ∈ s) : ‖f y - f x - φ (y - x)‖ ≤ C * ‖y - x‖ := hs.norm_image_sub_le_of_norm_hasFDerivWithin_le' (fun x hx => (hf x hx).hasFDerivAt.hasFDerivWithinAt) bound xs ys #align convex.norm_image_sub_le_of_norm_fderiv_le' Convex.norm_image_sub_le_of_norm_fderiv_le'
Mathlib/Analysis/Calculus/MeanValue.lean
599
604
theorem is_const_of_fderivWithin_eq_zero (hs : Convex ℝ s) (hf : DifferentiableOn 𝕜 f s) (hf' : ∀ x ∈ s, fderivWithin 𝕜 f s x = 0) (hx : x ∈ s) (hy : y ∈ s) : f x = f y := by
have bound : ∀ x ∈ s, ‖fderivWithin 𝕜 f s x‖ ≤ 0 := fun x hx => by simp only [hf' x hx, norm_zero, le_rfl] simpa only [(dist_eq_norm _ _).symm, zero_mul, dist_le_zero, eq_comm] using hs.norm_image_sub_le_of_norm_fderivWithin_le hf bound hx hy
import Mathlib.CategoryTheory.Comma.Over import Mathlib.CategoryTheory.DiscreteCategory import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Limits.Shapes.Terminal #align_import category_theory.limits.shapes.binary_products from "leanprover-community/mathlib"@"fec1d95fc61c750c1ddbb5b1f7f48b8e811a80d7" noncomputable section universe v u u₂ open CategoryTheory namespace CategoryTheory.Limits inductive WalkingPair : Type | left | right deriving DecidableEq, Inhabited #align category_theory.limits.walking_pair CategoryTheory.Limits.WalkingPair open WalkingPair def WalkingPair.swap : WalkingPair ≃ WalkingPair where toFun j := WalkingPair.recOn j right left invFun j := WalkingPair.recOn j right left left_inv j := by cases j; repeat rfl right_inv j := by cases j; repeat rfl #align category_theory.limits.walking_pair.swap CategoryTheory.Limits.WalkingPair.swap @[simp] theorem WalkingPair.swap_apply_left : WalkingPair.swap left = right := rfl #align category_theory.limits.walking_pair.swap_apply_left CategoryTheory.Limits.WalkingPair.swap_apply_left @[simp] theorem WalkingPair.swap_apply_right : WalkingPair.swap right = left := rfl #align category_theory.limits.walking_pair.swap_apply_right CategoryTheory.Limits.WalkingPair.swap_apply_right @[simp] theorem WalkingPair.swap_symm_apply_tt : WalkingPair.swap.symm left = right := rfl #align category_theory.limits.walking_pair.swap_symm_apply_tt CategoryTheory.Limits.WalkingPair.swap_symm_apply_tt @[simp] theorem WalkingPair.swap_symm_apply_ff : WalkingPair.swap.symm right = left := rfl #align category_theory.limits.walking_pair.swap_symm_apply_ff CategoryTheory.Limits.WalkingPair.swap_symm_apply_ff def WalkingPair.equivBool : WalkingPair ≃ Bool where toFun j := WalkingPair.recOn j true false -- to match equiv.sum_equiv_sigma_bool invFun b := Bool.recOn b right left left_inv j := by cases j; repeat rfl right_inv b := by cases b; repeat rfl #align category_theory.limits.walking_pair.equiv_bool CategoryTheory.Limits.WalkingPair.equivBool @[simp] theorem WalkingPair.equivBool_apply_left : WalkingPair.equivBool left = true := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_left CategoryTheory.Limits.WalkingPair.equivBool_apply_left @[simp] theorem WalkingPair.equivBool_apply_right : WalkingPair.equivBool right = false := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_right CategoryTheory.Limits.WalkingPair.equivBool_apply_right @[simp] theorem WalkingPair.equivBool_symm_apply_true : WalkingPair.equivBool.symm true = left := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_tt CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_true @[simp] theorem WalkingPair.equivBool_symm_apply_false : WalkingPair.equivBool.symm false = right := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_ff CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_false variable {C : Type u} def pairFunction (X Y : C) : WalkingPair → C := fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair_function CategoryTheory.Limits.pairFunction @[simp] theorem pairFunction_left (X Y : C) : pairFunction X Y left = X := rfl #align category_theory.limits.pair_function_left CategoryTheory.Limits.pairFunction_left @[simp] theorem pairFunction_right (X Y : C) : pairFunction X Y right = Y := rfl #align category_theory.limits.pair_function_right CategoryTheory.Limits.pairFunction_right variable [Category.{v} C] def pair (X Y : C) : Discrete WalkingPair ⥤ C := Discrete.functor fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair CategoryTheory.Limits.pair @[simp] theorem pair_obj_left (X Y : C) : (pair X Y).obj ⟨left⟩ = X := rfl #align category_theory.limits.pair_obj_left CategoryTheory.Limits.pair_obj_left @[simp] theorem pair_obj_right (X Y : C) : (pair X Y).obj ⟨right⟩ = Y := rfl #align category_theory.limits.pair_obj_right CategoryTheory.Limits.pair_obj_right section variable {F G : Discrete WalkingPair ⥤ C} (f : F.obj ⟨left⟩ ⟶ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ⟶ G.obj ⟨right⟩) attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases def mapPair : F ⟶ G where app j := Discrete.recOn j fun j => WalkingPair.casesOn j f g naturality := fun ⟨X⟩ ⟨Y⟩ ⟨⟨u⟩⟩ => by aesop_cat #align category_theory.limits.map_pair CategoryTheory.Limits.mapPair @[simp] theorem mapPair_left : (mapPair f g).app ⟨left⟩ = f := rfl #align category_theory.limits.map_pair_left CategoryTheory.Limits.mapPair_left @[simp] theorem mapPair_right : (mapPair f g).app ⟨right⟩ = g := rfl #align category_theory.limits.map_pair_right CategoryTheory.Limits.mapPair_right @[simps!] def mapPairIso (f : F.obj ⟨left⟩ ≅ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ≅ G.obj ⟨right⟩) : F ≅ G := NatIso.ofComponents (fun j => Discrete.recOn j fun j => WalkingPair.casesOn j f g) (fun ⟨⟨u⟩⟩ => by aesop_cat) #align category_theory.limits.map_pair_iso CategoryTheory.Limits.mapPairIso end @[simps!] def diagramIsoPair (F : Discrete WalkingPair ⥤ C) : F ≅ pair (F.obj ⟨WalkingPair.left⟩) (F.obj ⟨WalkingPair.right⟩) := mapPairIso (Iso.refl _) (Iso.refl _) #align category_theory.limits.diagram_iso_pair CategoryTheory.Limits.diagramIsoPair section variable {D : Type u} [Category.{v} D] def pairComp (X Y : C) (F : C ⥤ D) : pair X Y ⋙ F ≅ pair (F.obj X) (F.obj Y) := diagramIsoPair _ #align category_theory.limits.pair_comp CategoryTheory.Limits.pairComp end abbrev BinaryFan (X Y : C) := Cone (pair X Y) #align category_theory.limits.binary_fan CategoryTheory.Limits.BinaryFan abbrev BinaryFan.fst {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_fan.fst CategoryTheory.Limits.BinaryFan.fst abbrev BinaryFan.snd {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_fan.snd CategoryTheory.Limits.BinaryFan.snd @[simp] theorem BinaryFan.π_app_left {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.left⟩ = s.fst := rfl #align category_theory.limits.binary_fan.π_app_left CategoryTheory.Limits.BinaryFan.π_app_left @[simp] theorem BinaryFan.π_app_right {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.right⟩ = s.snd := rfl #align category_theory.limits.binary_fan.π_app_right CategoryTheory.Limits.BinaryFan.π_app_right def BinaryFan.IsLimit.mk {X Y : C} (s : BinaryFan X Y) (lift : ∀ {T : C} (_ : T ⟶ X) (_ : T ⟶ Y), T ⟶ s.pt) (hl₁ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.fst = f) (hl₂ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.snd = g) (uniq : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y) (m : T ⟶ s.pt) (_ : m ≫ s.fst = f) (_ : m ≫ s.snd = g), m = lift f g) : IsLimit s := Limits.IsLimit.mk (fun t => lift (BinaryFan.fst t) (BinaryFan.snd t)) (by rintro t (rfl | rfl) · exact hl₁ _ _ · exact hl₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_fan.is_limit.mk CategoryTheory.Limits.BinaryFan.IsLimit.mk theorem BinaryFan.IsLimit.hom_ext {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) {f g : W ⟶ s.pt} (h₁ : f ≫ s.fst = g ≫ s.fst) (h₂ : f ≫ s.snd = g ≫ s.snd) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_fan.is_limit.hom_ext CategoryTheory.Limits.BinaryFan.IsLimit.hom_ext abbrev BinaryCofan (X Y : C) := Cocone (pair X Y) #align category_theory.limits.binary_cofan CategoryTheory.Limits.BinaryCofan abbrev BinaryCofan.inl {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_cofan.inl CategoryTheory.Limits.BinaryCofan.inl abbrev BinaryCofan.inr {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_cofan.inr CategoryTheory.Limits.BinaryCofan.inr @[simp] theorem BinaryCofan.ι_app_left {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.left⟩ = s.inl := rfl #align category_theory.limits.binary_cofan.ι_app_left CategoryTheory.Limits.BinaryCofan.ι_app_left @[simp] theorem BinaryCofan.ι_app_right {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.right⟩ = s.inr := rfl #align category_theory.limits.binary_cofan.ι_app_right CategoryTheory.Limits.BinaryCofan.ι_app_right def BinaryCofan.IsColimit.mk {X Y : C} (s : BinaryCofan X Y) (desc : ∀ {T : C} (_ : X ⟶ T) (_ : Y ⟶ T), s.pt ⟶ T) (hd₁ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inl ≫ desc f g = f) (hd₂ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inr ≫ desc f g = g) (uniq : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T) (m : s.pt ⟶ T) (_ : s.inl ≫ m = f) (_ : s.inr ≫ m = g), m = desc f g) : IsColimit s := Limits.IsColimit.mk (fun t => desc (BinaryCofan.inl t) (BinaryCofan.inr t)) (by rintro t (rfl | rfl) · exact hd₁ _ _ · exact hd₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_cofan.is_colimit.mk CategoryTheory.Limits.BinaryCofan.IsColimit.mk theorem BinaryCofan.IsColimit.hom_ext {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) {f g : s.pt ⟶ W} (h₁ : s.inl ≫ f = s.inl ≫ g) (h₂ : s.inr ≫ f = s.inr ≫ g) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_cofan.is_colimit.hom_ext CategoryTheory.Limits.BinaryCofan.IsColimit.hom_ext variable {X Y : C} section attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases -- Porting note: would it be okay to use this more generally? attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Eq @[simps pt] def BinaryFan.mk {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : BinaryFan X Y where pt := P π := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_fan.mk CategoryTheory.Limits.BinaryFan.mk @[simps pt] def BinaryCofan.mk {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : BinaryCofan X Y where pt := P ι := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_cofan.mk CategoryTheory.Limits.BinaryCofan.mk end @[simp] theorem BinaryFan.mk_fst {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).fst = π₁ := rfl #align category_theory.limits.binary_fan.mk_fst CategoryTheory.Limits.BinaryFan.mk_fst @[simp] theorem BinaryFan.mk_snd {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).snd = π₂ := rfl #align category_theory.limits.binary_fan.mk_snd CategoryTheory.Limits.BinaryFan.mk_snd @[simp] theorem BinaryCofan.mk_inl {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inl = ι₁ := rfl #align category_theory.limits.binary_cofan.mk_inl CategoryTheory.Limits.BinaryCofan.mk_inl @[simp] theorem BinaryCofan.mk_inr {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inr = ι₂ := rfl #align category_theory.limits.binary_cofan.mk_inr CategoryTheory.Limits.BinaryCofan.mk_inr def isoBinaryFanMk {X Y : C} (c : BinaryFan X Y) : c ≅ BinaryFan.mk c.fst c.snd := Cones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_fan_mk CategoryTheory.Limits.isoBinaryFanMk def isoBinaryCofanMk {X Y : C} (c : BinaryCofan X Y) : c ≅ BinaryCofan.mk c.inl c.inr := Cocones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_cofan_mk CategoryTheory.Limits.isoBinaryCofanMk def BinaryFan.isLimitMk {W : C} {fst : W ⟶ X} {snd : W ⟶ Y} (lift : ∀ s : BinaryFan X Y, s.pt ⟶ W) (fac_left : ∀ s : BinaryFan X Y, lift s ≫ fst = s.fst) (fac_right : ∀ s : BinaryFan X Y, lift s ≫ snd = s.snd) (uniq : ∀ (s : BinaryFan X Y) (m : s.pt ⟶ W) (_ : m ≫ fst = s.fst) (_ : m ≫ snd = s.snd), m = lift s) : IsLimit (BinaryFan.mk fst snd) := { lift := lift fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_fan.is_limit_mk CategoryTheory.Limits.BinaryFan.isLimitMk def BinaryCofan.isColimitMk {W : C} {inl : X ⟶ W} {inr : Y ⟶ W} (desc : ∀ s : BinaryCofan X Y, W ⟶ s.pt) (fac_left : ∀ s : BinaryCofan X Y, inl ≫ desc s = s.inl) (fac_right : ∀ s : BinaryCofan X Y, inr ≫ desc s = s.inr) (uniq : ∀ (s : BinaryCofan X Y) (m : W ⟶ s.pt) (_ : inl ≫ m = s.inl) (_ : inr ≫ m = s.inr), m = desc s) : IsColimit (BinaryCofan.mk inl inr) := { desc := desc fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_cofan.is_colimit_mk CategoryTheory.Limits.BinaryCofan.isColimitMk @[simps] def BinaryFan.IsLimit.lift' {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ s.pt // l ≫ s.fst = f ∧ l ≫ s.snd = g } := ⟨h.lift <| BinaryFan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_fan.is_limit.lift' CategoryTheory.Limits.BinaryFan.IsLimit.lift' @[simps] def BinaryCofan.IsColimit.desc' {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) (f : X ⟶ W) (g : Y ⟶ W) : { l : s.pt ⟶ W // s.inl ≫ l = f ∧ s.inr ≫ l = g } := ⟨h.desc <| BinaryCofan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_cofan.is_colimit.desc' CategoryTheory.Limits.BinaryCofan.IsColimit.desc' def BinaryFan.isLimitFlip {X Y : C} {c : BinaryFan X Y} (hc : IsLimit c) : IsLimit (BinaryFan.mk c.snd c.fst) := BinaryFan.isLimitMk (fun s => hc.lift (BinaryFan.mk s.snd s.fst)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryFan.IsLimit.hom_ext hc (e₂.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_fan.is_limit_flip CategoryTheory.Limits.BinaryFan.isLimitFlip theorem BinaryFan.isLimit_iff_isIso_fst {X Y : C} (h : IsTerminal Y) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.fst := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryFan.IsLimit.lift' H (𝟙 X) (h.from X) exact ⟨⟨l, BinaryFan.IsLimit.hom_ext H (by simpa [hl, -Category.comp_id] using Category.comp_id _) (h.hom_ext _ _), hl⟩⟩ · intro exact ⟨BinaryFan.IsLimit.mk _ (fun f _ => f ≫ inv c.fst) (fun _ _ => by simp) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => by simp [← e]⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_fst CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_fst theorem BinaryFan.isLimit_iff_isIso_snd {X Y : C} (h : IsTerminal X) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.snd := by refine Iff.trans ?_ (BinaryFan.isLimit_iff_isIso_fst h (BinaryFan.mk c.snd c.fst)) exact ⟨fun h => ⟨BinaryFan.isLimitFlip h.some⟩, fun h => ⟨(BinaryFan.isLimitFlip h.some).ofIsoLimit (isoBinaryFanMk c).symm⟩⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_snd CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_snd noncomputable def BinaryFan.isLimitCompLeftIso {X Y X' : C} (c : BinaryFan X Y) (f : X ⟶ X') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk (c.fst ≫ f) c.snd) := by fapply BinaryFan.isLimitMk · exact fun s => h.lift (BinaryFan.mk (s.fst ≫ inv f) s.snd) · intro s -- Porting note: simp timed out here simp only [Category.comp_id,BinaryFan.π_app_left,IsIso.inv_hom_id, BinaryFan.mk_fst,IsLimit.fac_assoc,eq_self_iff_true,Category.assoc] · intro s -- Porting note: simp timed out here simp only [BinaryFan.π_app_right,BinaryFan.mk_snd,eq_self_iff_true,IsLimit.fac] · intro s m e₁ e₂ -- Porting note: simpa timed out here also apply BinaryFan.IsLimit.hom_ext h · simpa only [BinaryFan.π_app_left,BinaryFan.mk_fst,Category.assoc,IsLimit.fac,IsIso.eq_comp_inv] · simpa only [BinaryFan.π_app_right,BinaryFan.mk_snd,IsLimit.fac] #align category_theory.limits.binary_fan.is_limit_comp_left_iso CategoryTheory.Limits.BinaryFan.isLimitCompLeftIso noncomputable def BinaryFan.isLimitCompRightIso {X Y Y' : C} (c : BinaryFan X Y) (f : Y ⟶ Y') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk c.fst (c.snd ≫ f)) := BinaryFan.isLimitFlip <| BinaryFan.isLimitCompLeftIso _ f (BinaryFan.isLimitFlip h) #align category_theory.limits.binary_fan.is_limit_comp_right_iso CategoryTheory.Limits.BinaryFan.isLimitCompRightIso def BinaryCofan.isColimitFlip {X Y : C} {c : BinaryCofan X Y} (hc : IsColimit c) : IsColimit (BinaryCofan.mk c.inr c.inl) := BinaryCofan.isColimitMk (fun s => hc.desc (BinaryCofan.mk s.inr s.inl)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryCofan.IsColimit.hom_ext hc (e₂.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_cofan.is_colimit_flip CategoryTheory.Limits.BinaryCofan.isColimitFlip theorem BinaryCofan.isColimit_iff_isIso_inl {X Y : C} (h : IsInitial Y) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inl := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryCofan.IsColimit.desc' H (𝟙 X) (h.to X) refine ⟨⟨l, hl, BinaryCofan.IsColimit.hom_ext H (?_) (h.hom_ext _ _)⟩⟩ rw [Category.comp_id] have e : (inl c ≫ l) ≫ inl c = 𝟙 X ≫ inl c := congrArg (·≫inl c) hl rwa [Category.assoc,Category.id_comp] at e · intro exact ⟨BinaryCofan.IsColimit.mk _ (fun f _ => inv c.inl ≫ f) (fun _ _ => IsIso.hom_inv_id_assoc _ _) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => (IsIso.eq_inv_comp _).mpr e⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inl CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inl theorem BinaryCofan.isColimit_iff_isIso_inr {X Y : C} (h : IsInitial X) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inr := by refine Iff.trans ?_ (BinaryCofan.isColimit_iff_isIso_inl h (BinaryCofan.mk c.inr c.inl)) exact ⟨fun h => ⟨BinaryCofan.isColimitFlip h.some⟩, fun h => ⟨(BinaryCofan.isColimitFlip h.some).ofIsoColimit (isoBinaryCofanMk c).symm⟩⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inr CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inr noncomputable def BinaryCofan.isColimitCompLeftIso {X Y X' : C} (c : BinaryCofan X Y) (f : X' ⟶ X) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk (f ≫ c.inl) c.inr) := by fapply BinaryCofan.isColimitMk · exact fun s => h.desc (BinaryCofan.mk (inv f ≫ s.inl) s.inr) · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] · intro s m e₁ e₂ apply BinaryCofan.IsColimit.hom_ext h · rw [← cancel_epi f] -- Porting note: simp timed out here too simpa only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] using e₁ -- Porting note: simp timed out here too · simpa only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] #align category_theory.limits.binary_cofan.is_colimit_comp_left_iso CategoryTheory.Limits.BinaryCofan.isColimitCompLeftIso noncomputable def BinaryCofan.isColimitCompRightIso {X Y Y' : C} (c : BinaryCofan X Y) (f : Y' ⟶ Y) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk c.inl (f ≫ c.inr)) := BinaryCofan.isColimitFlip <| BinaryCofan.isColimitCompLeftIso _ f (BinaryCofan.isColimitFlip h) #align category_theory.limits.binary_cofan.is_colimit_comp_right_iso CategoryTheory.Limits.BinaryCofan.isColimitCompRightIso abbrev HasBinaryProduct (X Y : C) := HasLimit (pair X Y) #align category_theory.limits.has_binary_product CategoryTheory.Limits.HasBinaryProduct abbrev HasBinaryCoproduct (X Y : C) := HasColimit (pair X Y) #align category_theory.limits.has_binary_coproduct CategoryTheory.Limits.HasBinaryCoproduct abbrev prod (X Y : C) [HasBinaryProduct X Y] := limit (pair X Y) #align category_theory.limits.prod CategoryTheory.Limits.prod abbrev coprod (X Y : C) [HasBinaryCoproduct X Y] := colimit (pair X Y) #align category_theory.limits.coprod CategoryTheory.Limits.coprod notation:20 X " ⨯ " Y:20 => prod X Y notation:20 X " ⨿ " Y:20 => coprod X Y abbrev prod.fst {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ X := limit.π (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.prod.fst CategoryTheory.Limits.prod.fst abbrev prod.snd {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ Y := limit.π (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.prod.snd CategoryTheory.Limits.prod.snd abbrev coprod.inl {X Y : C} [HasBinaryCoproduct X Y] : X ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.coprod.inl CategoryTheory.Limits.coprod.inl abbrev coprod.inr {X Y : C} [HasBinaryCoproduct X Y] : Y ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.coprod.inr CategoryTheory.Limits.coprod.inr def prodIsProd (X Y : C) [HasBinaryProduct X Y] : IsLimit (BinaryFan.mk (prod.fst : X ⨯ Y ⟶ X) prod.snd) := (limit.isLimit _).ofIsoLimit (Cones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.id_comp]; rfl · dsimp; simp only [Category.id_comp]; rfl )) #align category_theory.limits.prod_is_prod CategoryTheory.Limits.prodIsProd def coprodIsCoprod (X Y : C) [HasBinaryCoproduct X Y] : IsColimit (BinaryCofan.mk (coprod.inl : X ⟶ X ⨿ Y) coprod.inr) := (colimit.isColimit _).ofIsoColimit (Cocones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.comp_id] · dsimp; simp only [Category.comp_id] )) #align category_theory.limits.coprod_is_coprod CategoryTheory.Limits.coprodIsCoprod @[ext 1100] theorem prod.hom_ext {W X Y : C} [HasBinaryProduct X Y] {f g : W ⟶ X ⨯ Y} (h₁ : f ≫ prod.fst = g ≫ prod.fst) (h₂ : f ≫ prod.snd = g ≫ prod.snd) : f = g := BinaryFan.IsLimit.hom_ext (limit.isLimit _) h₁ h₂ #align category_theory.limits.prod.hom_ext CategoryTheory.Limits.prod.hom_ext @[ext 1100] theorem coprod.hom_ext {W X Y : C} [HasBinaryCoproduct X Y] {f g : X ⨿ Y ⟶ W} (h₁ : coprod.inl ≫ f = coprod.inl ≫ g) (h₂ : coprod.inr ≫ f = coprod.inr ≫ g) : f = g := BinaryCofan.IsColimit.hom_ext (colimit.isColimit _) h₁ h₂ #align category_theory.limits.coprod.hom_ext CategoryTheory.Limits.coprod.hom_ext abbrev prod.lift {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : W ⟶ X ⨯ Y := limit.lift _ (BinaryFan.mk f g) #align category_theory.limits.prod.lift CategoryTheory.Limits.prod.lift abbrev diag (X : C) [HasBinaryProduct X X] : X ⟶ X ⨯ X := prod.lift (𝟙 _) (𝟙 _) #align category_theory.limits.diag CategoryTheory.Limits.diag abbrev coprod.desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : X ⨿ Y ⟶ W := colimit.desc _ (BinaryCofan.mk f g) #align category_theory.limits.coprod.desc CategoryTheory.Limits.coprod.desc abbrev codiag (X : C) [HasBinaryCoproduct X X] : X ⨿ X ⟶ X := coprod.desc (𝟙 _) (𝟙 _) #align category_theory.limits.codiag CategoryTheory.Limits.codiag -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_fst {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.fst = f := limit.lift_π _ _ #align category_theory.limits.prod.lift_fst CategoryTheory.Limits.prod.lift_fst #align category_theory.limits.prod.lift_fst_assoc CategoryTheory.Limits.prod.lift_fst_assoc -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_snd {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.snd = g := limit.lift_π _ _ #align category_theory.limits.prod.lift_snd CategoryTheory.Limits.prod.lift_snd #align category_theory.limits.prod.lift_snd_assoc CategoryTheory.Limits.prod.lift_snd_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inl_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inl ≫ coprod.desc f g = f := colimit.ι_desc _ _ #align category_theory.limits.coprod.inl_desc CategoryTheory.Limits.coprod.inl_desc #align category_theory.limits.coprod.inl_desc_assoc CategoryTheory.Limits.coprod.inl_desc_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inr_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inr ≫ coprod.desc f g = g := colimit.ι_desc _ _ #align category_theory.limits.coprod.inr_desc CategoryTheory.Limits.coprod.inr_desc #align category_theory.limits.coprod.inr_desc_assoc CategoryTheory.Limits.coprod.inr_desc_assoc instance prod.mono_lift_of_mono_left {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono f] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_fst _ _ #align category_theory.limits.prod.mono_lift_of_mono_left CategoryTheory.Limits.prod.mono_lift_of_mono_left instance prod.mono_lift_of_mono_right {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono g] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_snd _ _ #align category_theory.limits.prod.mono_lift_of_mono_right CategoryTheory.Limits.prod.mono_lift_of_mono_right instance coprod.epi_desc_of_epi_left {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi f] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inl_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_left CategoryTheory.Limits.coprod.epi_desc_of_epi_left instance coprod.epi_desc_of_epi_right {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi g] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inr_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_right CategoryTheory.Limits.coprod.epi_desc_of_epi_right def prod.lift' {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ X ⨯ Y // l ≫ prod.fst = f ∧ l ≫ prod.snd = g } := ⟨prod.lift f g, prod.lift_fst _ _, prod.lift_snd _ _⟩ #align category_theory.limits.prod.lift' CategoryTheory.Limits.prod.lift' def coprod.desc' {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : { l : X ⨿ Y ⟶ W // coprod.inl ≫ l = f ∧ coprod.inr ≫ l = g } := ⟨coprod.desc f g, coprod.inl_desc _ _, coprod.inr_desc _ _⟩ #align category_theory.limits.coprod.desc' CategoryTheory.Limits.coprod.desc' def prod.map {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨯ X ⟶ Y ⨯ Z := limMap (mapPair f g) #align category_theory.limits.prod.map CategoryTheory.Limits.prod.map def coprod.map {W X Y Z : C} [HasBinaryCoproduct W X] [HasBinaryCoproduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨿ X ⟶ Y ⨿ Z := colimMap (mapPair f g) #align category_theory.limits.coprod.map CategoryTheory.Limits.coprod.map section ProdLemmas -- Making the reassoc version of this a simp lemma seems to be more harmful than helpful. @[reassoc, simp] theorem prod.comp_lift {V W X Y : C} [HasBinaryProduct X Y] (f : V ⟶ W) (g : W ⟶ X) (h : W ⟶ Y) : f ≫ prod.lift g h = prod.lift (f ≫ g) (f ≫ h) := by ext <;> simp #align category_theory.limits.prod.comp_lift CategoryTheory.Limits.prod.comp_lift #align category_theory.limits.prod.comp_lift_assoc CategoryTheory.Limits.prod.comp_lift_assoc theorem prod.comp_diag {X Y : C} [HasBinaryProduct Y Y] (f : X ⟶ Y) : f ≫ diag Y = prod.lift f f := by simp #align category_theory.limits.prod.comp_diag CategoryTheory.Limits.prod.comp_diag @[reassoc (attr := simp)] theorem prod.map_fst {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : prod.map f g ≫ prod.fst = prod.fst ≫ f := limMap_π _ _ #align category_theory.limits.prod.map_fst CategoryTheory.Limits.prod.map_fst #align category_theory.limits.prod.map_fst_assoc CategoryTheory.Limits.prod.map_fst_assoc @[reassoc (attr := simp)] theorem prod.map_snd {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : prod.map f g ≫ prod.snd = prod.snd ≫ g := limMap_π _ _ #align category_theory.limits.prod.map_snd CategoryTheory.Limits.prod.map_snd #align category_theory.limits.prod.map_snd_assoc CategoryTheory.Limits.prod.map_snd_assoc @[simp] theorem prod.map_id_id {X Y : C} [HasBinaryProduct X Y] : prod.map (𝟙 X) (𝟙 Y) = 𝟙 _ := by ext <;> simp #align category_theory.limits.prod.map_id_id CategoryTheory.Limits.prod.map_id_id @[simp] theorem prod.lift_fst_snd {X Y : C} [HasBinaryProduct X Y] : prod.lift prod.fst prod.snd = 𝟙 (X ⨯ Y) := by ext <;> simp #align category_theory.limits.prod.lift_fst_snd CategoryTheory.Limits.prod.lift_fst_snd @[reassoc (attr := simp)] theorem prod.lift_map {V W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : V ⟶ W) (g : V ⟶ X) (h : W ⟶ Y) (k : X ⟶ Z) : prod.lift f g ≫ prod.map h k = prod.lift (f ≫ h) (g ≫ k) := by ext <;> simp #align category_theory.limits.prod.lift_map CategoryTheory.Limits.prod.lift_map #align category_theory.limits.prod.lift_map_assoc CategoryTheory.Limits.prod.lift_map_assoc @[simp]
Mathlib/CategoryTheory/Limits/Shapes/BinaryProducts.lean
747
750
theorem prod.lift_fst_comp_snd_comp {W X Y Z : C} [HasBinaryProduct W Y] [HasBinaryProduct X Z] (g : W ⟶ X) (g' : Y ⟶ Z) : prod.lift (prod.fst ≫ g) (prod.snd ≫ g') = prod.map g g' := by
rw [← prod.lift_map] simp
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.Normed.Group.AddTorsor #align_import analysis.convex.side from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" variable {R V V' P P' : Type*} open AffineEquiv AffineMap namespace AffineSubspace section StrictOrderedCommRing variable [StrictOrderedCommRing R] [AddCommGroup V] [Module R V] [AddTorsor V P] variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P'] def WSameSide (s : AffineSubspace R P) (x y : P) : Prop := ∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (y -ᵥ p₂) #align affine_subspace.w_same_side AffineSubspace.WSameSide def SSameSide (s : AffineSubspace R P) (x y : P) : Prop := s.WSameSide x y ∧ x ∉ s ∧ y ∉ s #align affine_subspace.s_same_side AffineSubspace.SSameSide def WOppSide (s : AffineSubspace R P) (x y : P) : Prop := ∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (p₂ -ᵥ y) #align affine_subspace.w_opp_side AffineSubspace.WOppSide def SOppSide (s : AffineSubspace R P) (x y : P) : Prop := s.WOppSide x y ∧ x ∉ s ∧ y ∉ s #align affine_subspace.s_opp_side AffineSubspace.SOppSide
Mathlib/Analysis/Convex/Side.lean
62
67
theorem WSameSide.map {s : AffineSubspace R P} {x y : P} (h : s.WSameSide x y) (f : P →ᵃ[R] P') : (s.map f).WSameSide (f x) (f y) := by
rcases h with ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨f p₁, mem_map_of_mem f hp₁, f p₂, mem_map_of_mem f hp₂, ?_⟩ simp_rw [← linearMap_vsub] exact h.map f.linear
import Mathlib.Order.RelClasses import Mathlib.Order.Interval.Set.Basic #align_import order.bounded from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9" namespace Set variable {α : Type*} {r : α → α → Prop} {s t : Set α} theorem Bounded.mono (hst : s ⊆ t) (hs : Bounded r t) : Bounded r s := hs.imp fun _ ha b hb => ha b (hst hb) #align set.bounded.mono Set.Bounded.mono theorem Unbounded.mono (hst : s ⊆ t) (hs : Unbounded r s) : Unbounded r t := fun a => let ⟨b, hb, hb'⟩ := hs a ⟨b, hst hb, hb'⟩ #align set.unbounded.mono Set.Unbounded.mono theorem unbounded_le_of_forall_exists_lt [Preorder α] (h : ∀ a, ∃ b ∈ s, a < b) : Unbounded (· ≤ ·) s := fun a => let ⟨b, hb, hb'⟩ := h a ⟨b, hb, fun hba => hba.not_lt hb'⟩ #align set.unbounded_le_of_forall_exists_lt Set.unbounded_le_of_forall_exists_lt
Mathlib/Order/Bounded.lean
44
45
theorem unbounded_le_iff [LinearOrder α] : Unbounded (· ≤ ·) s ↔ ∀ a, ∃ b ∈ s, a < b := by
simp only [Unbounded, not_le]
import Mathlib.Analysis.InnerProductSpace.Orthogonal import Mathlib.Analysis.Normed.Group.AddTorsor #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Set open scoped RealInnerProductSpace variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] noncomputable section namespace AffineSubspace variable {c c₁ c₂ p₁ p₂ : P} def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P := .comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <| (LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace theorem mem_perpBisector_iff_inner_eq_zero' : c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := Iff.rfl theorem mem_perpBisector_iff_inner_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 := inner_eq_zero_symm theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero : c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply, vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc] simp theorem mem_perpBisector_pointReflection_iff_inner_eq_zero : c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right, Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero, ← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev]
Mathlib/Geometry/Euclidean/PerpBisector.lean
65
67
theorem midpoint_mem_perpBisector (p₁ p₂ : P) : midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by
simp [mem_perpBisector_iff_inner_eq_zero]
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩ #align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff -- Porting note: To avoid ambiguous notation, `~` became `~ʷ`. infixl:50 " ~ʷ " => Equiv theorem destruct_congr {s t : WSeq α} : s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct #align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr theorem destruct_congr_iff {s t : WSeq α} : s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct_iff #align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩ rw [← h] apply Computation.LiftRel.refl intro a cases' a with a · simp · cases a simp only [LiftRelO, and_true] apply H #align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl theorem LiftRelO.swap (R : α → β → Prop) (C) : swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by funext x y rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl #align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) : LiftRel (swap R) s2 s1 := by refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩ rw [← LiftRelO.swap, Computation.LiftRel.swap] apply liftRel_destruct h #align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) := funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩ #align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) := fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h #align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) := fun s t u h1 h2 => by refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩ rcases h with ⟨t, h1, h2⟩ have h1 := liftRel_destruct h1 have h2 := liftRel_destruct h2 refine Computation.liftRel_def.2 ⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2), fun {a c} ha hc => ?_⟩ rcases h1.left ha with ⟨b, hb, t1⟩ have t2 := Computation.rel_of_liftRel h2 hb hc cases' a with a <;> cases' c with c · trivial · cases b · cases t2 · cases t1 · cases a cases' b with b · cases t1 · cases b cases t2 · cases' a with a s cases' b with b · cases t1 cases' b with b t cases' c with c u cases' t1 with ab st cases' t2 with bc tu exact ⟨H ab bc, t, st, tu⟩ #align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R) | ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩ #align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv @[refl] theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s := LiftRel.refl (· = ·) Eq.refl #align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl @[symm] theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s := @(LiftRel.symm (· = ·) (@Eq.symm _)) #align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm @[trans] theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u := @(LiftRel.trans (· = ·) (@Eq.trans _)) #align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans theorem Equiv.equivalence : Equivalence (@Equiv α) := ⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩ #align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence open Computation @[simp] theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none := Computation.destruct_eq_pure rfl #align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil @[simp] theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) := Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap] #align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons @[simp] theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think := Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap] #align stream.wseq.destruct_think Stream'.WSeq.destruct_think @[simp] theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none := Seq.destruct_nil #align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil @[simp] theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons @[simp] theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think @[simp] theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head] #align stream.wseq.head_nil Stream'.WSeq.head_nil @[simp] theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head] #align stream.wseq.head_cons Stream'.WSeq.head_cons @[simp] theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head] #align stream.wseq.head_think Stream'.WSeq.head_think @[simp] theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl intro s' s h rw [← h] simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure] cases Seq.destruct s with | none => simp | some val => cases' val with o s' simp #align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure @[simp] theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) := Seq.destruct_eq_cons <| by simp [flatten, think] #align stream.wseq.flatten_think Stream'.WSeq.flatten_think @[simp] theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by refine Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_ (Or.inr ⟨c, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨c, rfl, rfl⟩ => by induction' c using Computation.recOn with a c' <;> simp · cases (destruct a).destruct <;> simp · exact Or.inr ⟨c', rfl, rfl⟩ #align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) := terminates_map_iff _ (destruct s) #align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff @[simp] theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail] #align stream.wseq.tail_nil Stream'.WSeq.tail_nil @[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail] #align stream.wseq.tail_cons Stream'.WSeq.tail_cons @[simp] theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail] #align stream.wseq.tail_think Stream'.WSeq.tail_think @[simp] theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop] #align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil @[simp] theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by induction n with | zero => simp [drop] | succ n n_ih => -- porting note (#10745): was `simp [*, drop]`. simp [drop, ← n_ih] #align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons @[simp] theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by induction n <;> simp [*, drop] #align stream.wseq.dropn_think Stream'.WSeq.dropn_think theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n | 0 => rfl | n + 1 => congr_arg tail (dropn_add s m n) #align stream.wseq.dropn_add Stream'.WSeq.dropn_add theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by rw [Nat.add_comm] symm apply dropn_add #align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n := congr_arg head (dropn_add _ _ _) #align stream.wseq.nth_add Stream'.WSeq.get?_add theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) := congr_arg head (dropn_tail _ _) #align stream.wseq.nth_tail Stream'.WSeq.get?_tail @[simp] theorem join_nil : join nil = (nil : WSeq α) := Seq.join_nil #align stream.wseq.join_nil Stream'.WSeq.join_nil @[simp] theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, Seq1.ret] #align stream.wseq.join_think Stream'.WSeq.join_think @[simp] theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, cons, append] #align stream.wseq.join_cons Stream'.WSeq.join_cons @[simp] theorem nil_append (s : WSeq α) : append nil s = s := Seq.nil_append _ #align stream.wseq.nil_append Stream'.WSeq.nil_append @[simp] theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) := Seq.cons_append _ _ _ #align stream.wseq.cons_append Stream'.WSeq.cons_append @[simp] theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) := Seq.cons_append _ _ _ #align stream.wseq.think_append Stream'.WSeq.think_append @[simp] theorem append_nil (s : WSeq α) : append s nil = s := Seq.append_nil _ #align stream.wseq.append_nil Stream'.WSeq.append_nil @[simp] theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) := Seq.append_assoc _ _ _ #align stream.wseq.append_assoc Stream'.WSeq.append_assoc @[simp] def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α)) | none => Computation.pure none | some (_, s) => destruct s #align stream.wseq.tail.aux Stream'.WSeq.tail.aux theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc] apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp #align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail @[simp] def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α)) | 0 => Computation.pure | n + 1 => fun a => tail.aux a >>= drop.aux n #align stream.wseq.drop.aux Stream'.WSeq.drop.aux theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none | 0 => rfl | n + 1 => show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by rw [ret_bind, drop.aux_none n] #align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n | s, 0 => (bind_pure' _).symm | s, n + 1 => by rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc] rfl #align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] : Terminates (head s) := (head_terminates_iff _).2 <| by rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩ simp? [tail] at h says simp only [tail, destruct_flatten] at h rcases exists_of_mem_bind h with ⟨s', h1, _⟩ unfold Functor.map at h1 exact let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1 Computation.terminates_of_mem h3 #align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) : ∃ a', some a' ∈ destruct s := by unfold tail Functor.map at h; simp only [destruct_flatten] at h rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td · have := mem_unique td (ret_mem _) contradiction · exact ⟨_, ht'⟩ #align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) : ∃ a', some a' ∈ head s := by unfold head at h rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h cases' o with o <;> [injection e; injection e with h']; clear h' cases' destruct_some_of_destruct_tail_some md with a am exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩ #align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) : ∃ a', some a' ∈ head s := by induction n generalizing a with | zero => exact ⟨_, h⟩ | succ n IH => let ⟨a', h'⟩ := head_some_of_head_tail_some h exact IH h' #align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) := ⟨fun n => by rw [get?_tail]; infer_instance⟩ #align stream.wseq.productive_tail Stream'.WSeq.productive_tail instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) := ⟨fun m => by rw [← get?_add]; infer_instance⟩ #align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn def toSeq (s : WSeq α) [Productive s] : Seq α := ⟨fun n => (get? s n).get, fun {n} h => by cases e : Computation.get (get? s (n + 1)) · assumption have := Computation.mem_of_get_eq _ e simp? [get?] at this h says simp only [get?] at this h cases' head_some_of_head_tail_some this with a' h' have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h) contradiction⟩ #align stream.wseq.to_seq Stream'.WSeq.toSeq theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) : Terminates (get? s n) → Terminates (get? s m) := by induction' h with m' _ IH exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)] #align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le theorem head_terminates_of_get?_terminates {s : WSeq α} {n} : Terminates (get? s n) → Terminates (head s) := get?_terminates_le (Nat.zero_le n) #align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) : Terminates (destruct s) := (head_terminates_iff _).1 <| head_terminates_of_get?_terminates T #align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s')) (h2 : ∀ s, C s → C (think s)) : C s := by apply Seq.mem_rec_on M intro o s' h; cases' o with b · apply h2 cases h · contradiction · assumption · apply h1 apply Or.imp_left _ h intro h injection h #align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on @[simp] theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by cases' s with f al change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f constructor <;> intro h · apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left intro injections · apply Stream'.mem_cons_of_mem _ h #align stream.wseq.mem_think Stream'.WSeq.mem_think theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} : some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by generalize e : destruct s = c; intro h revert s apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;> induction' s using WSeq.recOn with x s s <;> intro m <;> have := congr_arg Computation.destruct m <;> simp at this · cases' this with i1 i2 rw [i1, i2] cases' s' with f al dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons] have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp rw [h_a_eq_a'] refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩ · cases' o with e m · rw [e] apply Stream'.mem_cons · exact Stream'.mem_cons_of_mem _ m · simp [IH this] #align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem @[simp] theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s := eq_or_mem_iff_mem <| by simp [ret_mem] #align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s := (mem_cons_iff _ _).2 (Or.inr h) #align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s := (mem_cons_iff _ _).2 (Or.inl rfl) #align stream.wseq.mem_cons Stream'.WSeq.mem_cons theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get] induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;> simp <;> intro m e <;> injections · exact Or.inr m · exact Or.inr m · apply IH m rw [e] cases tail s rfl #align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s | 0, h => h | n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h) #align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by revert s; induction' n with n IH <;> intro s h · -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩ cases' o with o · injection h2 injection h2 with h' cases' o with a' s' exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm) · have := @IH (tail s) rw [get?_tail] at this exact mem_of_mem_tail (this h) #align stream.wseq.nth_mem Stream'.WSeq.get?_mem theorem exists_get?_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n, some a ∈ get? s n := by apply mem_rec_on h · intro a' s' h cases' h with h h · exists 0 simp only [get?, drop, head_cons] rw [h] apply ret_mem · cases' h with n h exists n + 1 -- porting note (#10745): was `simp [get?]`. simpa [get?] · intro s' h cases' h with n h exists n simp only [get?, dropn_think, head_think] apply think_mem h #align stream.wseq.exists_nth_of_mem Stream'.WSeq.exists_get?_of_mem theorem exists_dropn_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n s', some (a, s') ∈ destruct (drop s n) := let ⟨n, h⟩ := exists_get?_of_mem h ⟨n, by rcases (head_terminates_iff _).1 ⟨⟨_, h⟩⟩ with ⟨⟨o, om⟩⟩ have := Computation.mem_unique (Computation.mem_map _ om) h cases' o with o · injection this injection this with i cases' o with a' s' dsimp at i rw [i] at om exact ⟨_, om⟩⟩ #align stream.wseq.exists_dropn_of_mem Stream'.WSeq.exists_dropn_of_mem theorem liftRel_dropn_destruct {R : α → β → Prop} {s t} (H : LiftRel R s t) : ∀ n, Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct (drop s n)) (destruct (drop t n)) | 0 => liftRel_destruct H | n + 1 => by simp only [LiftRelO, drop, Nat.add_eq, Nat.add_zero, destruct_tail, tail.aux] apply liftRel_bind · apply liftRel_dropn_destruct H n exact fun {a b} o => match a, b, o with | none, none, _ => by -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] | some (a, s), some (b, t), ⟨_, h2⟩ => by simpa [tail.aux] using liftRel_destruct h2 #align stream.wseq.lift_rel_dropn_destruct Stream'.WSeq.liftRel_dropn_destruct theorem exists_of_liftRel_left {R : α → β → Prop} {s t} (H : LiftRel R s t) {a} (h : a ∈ s) : ∃ b, b ∈ t ∧ R a b := by let ⟨n, h⟩ := exists_get?_of_mem h -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h let ⟨some (_, s'), sd, rfl⟩ := Computation.exists_of_mem_map h let ⟨some (b, t'), td, ⟨ab, _⟩⟩ := (liftRel_dropn_destruct H n).left sd exact ⟨b, get?_mem (Computation.mem_map (Prod.fst.{v, v} <$> ·) td), ab⟩ #align stream.wseq.exists_of_lift_rel_left Stream'.WSeq.exists_of_liftRel_left theorem exists_of_liftRel_right {R : α → β → Prop} {s t} (H : LiftRel R s t) {b} (h : b ∈ t) : ∃ a, a ∈ s ∧ R a b := by rw [← LiftRel.swap] at H; exact exists_of_liftRel_left H h #align stream.wseq.exists_of_lift_rel_right Stream'.WSeq.exists_of_liftRel_right theorem head_terminates_of_mem {s : WSeq α} {a} (h : a ∈ s) : Terminates (head s) := let ⟨_, h⟩ := exists_get?_of_mem h head_terminates_of_get?_terminates ⟨⟨_, h⟩⟩ #align stream.wseq.head_terminates_of_mem Stream'.WSeq.head_terminates_of_mem theorem of_mem_append {s₁ s₂ : WSeq α} {a : α} : a ∈ append s₁ s₂ → a ∈ s₁ ∨ a ∈ s₂ := Seq.of_mem_append #align stream.wseq.of_mem_append Stream'.WSeq.of_mem_append theorem mem_append_left {s₁ s₂ : WSeq α} {a : α} : a ∈ s₁ → a ∈ append s₁ s₂ := Seq.mem_append_left #align stream.wseq.mem_append_left Stream'.WSeq.mem_append_left theorem exists_of_mem_map {f} {b : β} : ∀ {s : WSeq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b | ⟨g, al⟩, h => by let ⟨o, om, oe⟩ := Seq.exists_of_mem_map h cases' o with a · injection oe injection oe with h' exact ⟨a, om, h'⟩ #align stream.wseq.exists_of_mem_map Stream'.WSeq.exists_of_mem_map @[simp] theorem liftRel_nil (R : α → β → Prop) : LiftRel R nil nil := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_nil Stream'.WSeq.liftRel_nil @[simp] theorem liftRel_cons (R : α → β → Prop) (a b s t) : LiftRel R (cons a s) (cons b t) ↔ R a b ∧ LiftRel R s t := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_cons Stream'.WSeq.liftRel_cons @[simp] theorem liftRel_think_left (R : α → β → Prop) (s t) : LiftRel R (think s) t ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_left Stream'.WSeq.liftRel_think_left @[simp] theorem liftRel_think_right (R : α → β → Prop) (s t) : LiftRel R s (think t) ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_right Stream'.WSeq.liftRel_think_right theorem cons_congr {s t : WSeq α} (a : α) (h : s ~ʷ t) : cons a s ~ʷ cons a t := by unfold Equiv; simpa using h #align stream.wseq.cons_congr Stream'.WSeq.cons_congr theorem think_equiv (s : WSeq α) : think s ~ʷ s := by unfold Equiv; simpa using Equiv.refl _ #align stream.wseq.think_equiv Stream'.WSeq.think_equiv theorem think_congr {s t : WSeq α} (h : s ~ʷ t) : think s ~ʷ think t := by unfold Equiv; simpa using h #align stream.wseq.think_congr Stream'.WSeq.think_congr theorem head_congr : ∀ {s t : WSeq α}, s ~ʷ t → head s ~ head t := by suffices ∀ {s t : WSeq α}, s ~ʷ t → ∀ {o}, o ∈ head s → o ∈ head t from fun s t h o => ⟨this h, this h.symm⟩ intro s t h o ho rcases @Computation.exists_of_mem_map _ _ _ _ (destruct s) ho with ⟨ds, dsm, dse⟩ rw [← dse] cases' destruct_congr h with l r rcases l dsm with ⟨dt, dtm, dst⟩ cases' ds with a <;> cases' dt with b · apply Computation.mem_map _ dtm · cases b cases dst · cases a cases dst · cases' a with a s' cases' b with b t' rw [dst.left] exact @Computation.mem_map _ _ (@Functor.map _ _ (α × WSeq α) _ Prod.fst) (some (b, t')) (destruct t) dtm #align stream.wseq.head_congr Stream'.WSeq.head_congr theorem flatten_equiv {c : Computation (WSeq α)} {s} (h : s ∈ c) : flatten c ~ʷ s := by apply Computation.memRecOn h · simp [Equiv.refl] · intro s' apply Equiv.trans simp [think_equiv] #align stream.wseq.flatten_equiv Stream'.WSeq.flatten_equiv theorem liftRel_flatten {R : α → β → Prop} {c1 : Computation (WSeq α)} {c2 : Computation (WSeq β)} (h : c1.LiftRel (LiftRel R) c2) : LiftRel R (flatten c1) (flatten c2) := let S s t := ∃ c1 c2, s = flatten c1 ∧ t = flatten c2 ∧ Computation.LiftRel (LiftRel R) c1 c2 ⟨S, ⟨c1, c2, rfl, rfl, h⟩, fun {s t} h => match s, t, h with | _, _, ⟨c1, c2, rfl, rfl, h⟩ => by simp only [destruct_flatten]; apply liftRel_bind _ _ h intro a b ab; apply Computation.LiftRel.imp _ _ _ (liftRel_destruct ab) intro a b; apply LiftRelO.imp_right intro s t h; refine ⟨Computation.pure s, Computation.pure t, ?_, ?_, ?_⟩ <;> -- Porting note: These 2 theorems should be excluded. simp [h, -liftRel_pure_left, -liftRel_pure_right]⟩ #align stream.wseq.lift_rel_flatten Stream'.WSeq.liftRel_flatten theorem flatten_congr {c1 c2 : Computation (WSeq α)} : Computation.LiftRel Equiv c1 c2 → flatten c1 ~ʷ flatten c2 := liftRel_flatten #align stream.wseq.flatten_congr Stream'.WSeq.flatten_congr theorem tail_congr {s t : WSeq α} (h : s ~ʷ t) : tail s ~ʷ tail t := by apply flatten_congr dsimp only [(· <$> ·)]; rw [← Computation.bind_pure, ← Computation.bind_pure] apply liftRel_bind _ _ (destruct_congr h) intro a b h; simp only [comp_apply, liftRel_pure] cases' a with a <;> cases' b with b · trivial · cases h · cases a cases h · cases' a with a s' cases' b with b t' exact h.right #align stream.wseq.tail_congr Stream'.WSeq.tail_congr theorem dropn_congr {s t : WSeq α} (h : s ~ʷ t) (n) : drop s n ~ʷ drop t n := by induction n <;> simp [*, tail_congr, drop] #align stream.wseq.dropn_congr Stream'.WSeq.dropn_congr theorem get?_congr {s t : WSeq α} (h : s ~ʷ t) (n) : get? s n ~ get? t n := head_congr (dropn_congr h _) #align stream.wseq.nth_congr Stream'.WSeq.get?_congr theorem mem_congr {s t : WSeq α} (h : s ~ʷ t) (a) : a ∈ s ↔ a ∈ t := suffices ∀ {s t : WSeq α}, s ~ʷ t → a ∈ s → a ∈ t from ⟨this h, this h.symm⟩ fun {_ _} h as => let ⟨_, hn⟩ := exists_get?_of_mem as get?_mem ((get?_congr h _ _).1 hn) #align stream.wseq.mem_congr Stream'.WSeq.mem_congr theorem productive_congr {s t : WSeq α} (h : s ~ʷ t) : Productive s ↔ Productive t := by simp only [productive_iff]; exact forall_congr' fun n => terminates_congr <| get?_congr h _ #align stream.wseq.productive_congr Stream'.WSeq.productive_congr theorem Equiv.ext {s t : WSeq α} (h : ∀ n, get? s n ~ get? t n) : s ~ʷ t := ⟨fun s t => ∀ n, get? s n ~ get? t n, h, fun {s t} h => by refine liftRel_def.2 ⟨?_, ?_⟩ · rw [← head_terminates_iff, ← head_terminates_iff] exact terminates_congr (h 0) · intro a b ma mb cases' a with a <;> cases' b with b · trivial · injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) · injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) · cases' a with a s' cases' b with b t' injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) with ab refine ⟨ab, fun n => ?_⟩ refine (get?_congr (flatten_equiv (Computation.mem_map _ ma)) n).symm.trans ((?_ : get? (tail s) n ~ get? (tail t) n).trans (get?_congr (flatten_equiv (Computation.mem_map _ mb)) n)) rw [get?_tail, get?_tail] apply h⟩ #align stream.wseq.equiv.ext Stream'.WSeq.Equiv.ext theorem length_eq_map (s : WSeq α) : length s = Computation.map List.length (toList s) := by refine Computation.eq_of_bisim (fun c1 c2 => ∃ (l : List α) (s : WSeq α), c1 = Computation.corec (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (l.length, s) ∧ c2 = Computation.map List.length (Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l, s))) ?_ ⟨[], s, rfl, rfl⟩ intro s1 s2 h; rcases h with ⟨l, s, h⟩; rw [h.left, h.right] induction' s using WSeq.recOn with a s s <;> simp [toList, nil, cons, think, length] · refine ⟨a::l, s, ?_, ?_⟩ <;> simp · refine ⟨l, s, ?_, ?_⟩ <;> simp #align stream.wseq.length_eq_map Stream'.WSeq.length_eq_map @[simp] theorem ofList_nil : ofList [] = (nil : WSeq α) := rfl #align stream.wseq.of_list_nil Stream'.WSeq.ofList_nil @[simp] theorem ofList_cons (a : α) (l) : ofList (a::l) = cons a (ofList l) := show Seq.map some (Seq.ofList (a::l)) = Seq.cons (some a) (Seq.map some (Seq.ofList l)) by simp #align stream.wseq.of_list_cons Stream'.WSeq.ofList_cons @[simp] theorem toList'_nil (l : List α) : Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l, nil) = Computation.pure l.reverse := destruct_eq_pure rfl #align stream.wseq.to_list'_nil Stream'.WSeq.toList'_nil @[simp] theorem toList'_cons (l : List α) (s : WSeq α) (a : α) : Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l, cons a s) = (Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (a::l, s)).think := destruct_eq_think <| by simp [toList, cons] #align stream.wseq.to_list'_cons Stream'.WSeq.toList'_cons @[simp] theorem toList'_think (l : List α) (s : WSeq α) : Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l, think s) = (Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l, s)).think := destruct_eq_think <| by simp [toList, think] #align stream.wseq.to_list'_think Stream'.WSeq.toList'_think theorem toList'_map (l : List α) (s : WSeq α) : Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a :: l, s')) (l, s) = (l.reverse ++ ·) <$> toList s := by refine Computation.eq_of_bisim (fun c1 c2 => ∃ (l' : List α) (s : WSeq α), c1 = Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l' ++ l, s) ∧ c2 = Computation.map (l.reverse ++ ·) (Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l', s))) ?_ ⟨[], s, rfl, rfl⟩ intro s1 s2 h; rcases h with ⟨l', s, h⟩; rw [h.left, h.right] induction' s using WSeq.recOn with a s s <;> simp [toList, nil, cons, think, length] · refine ⟨a::l', s, ?_, ?_⟩ <;> simp · refine ⟨l', s, ?_, ?_⟩ <;> simp #align stream.wseq.to_list'_map Stream'.WSeq.toList'_map @[simp] theorem toList_cons (a : α) (s) : toList (cons a s) = (List.cons a <$> toList s).think := destruct_eq_think <| by unfold toList simp only [toList'_cons, Computation.destruct_think, Sum.inr.injEq] rw [toList'_map] simp only [List.reverse_cons, List.reverse_nil, List.nil_append, List.singleton_append] rfl #align stream.wseq.to_list_cons Stream'.WSeq.toList_cons @[simp] theorem toList_nil : toList (nil : WSeq α) = Computation.pure [] := destruct_eq_pure rfl #align stream.wseq.to_list_nil Stream'.WSeq.toList_nil theorem toList_ofList (l : List α) : l ∈ toList (ofList l) := by induction' l with a l IH <;> simp [ret_mem]; exact think_mem (Computation.mem_map _ IH) #align stream.wseq.to_list_of_list Stream'.WSeq.toList_ofList @[simp] theorem destruct_ofSeq (s : Seq α) : destruct (ofSeq s) = Computation.pure (s.head.map fun a => (a, ofSeq s.tail)) := destruct_eq_pure <| by simp only [destruct, Seq.destruct, Option.map_eq_map, ofSeq, Computation.corec_eq, rmap, Seq.head] rw [show Seq.get? (some <$> s) 0 = some <$> Seq.get? s 0 by apply Seq.map_get?] cases' Seq.get? s 0 with a · rfl dsimp only [(· <$> ·)] simp [destruct] #align stream.wseq.destruct_of_seq Stream'.WSeq.destruct_ofSeq @[simp] theorem head_ofSeq (s : Seq α) : head (ofSeq s) = Computation.pure s.head := by simp only [head, Option.map_eq_map, destruct_ofSeq, Computation.map_pure, Option.map_map] cases Seq.head s <;> rfl #align stream.wseq.head_of_seq Stream'.WSeq.head_ofSeq @[simp] theorem tail_ofSeq (s : Seq α) : tail (ofSeq s) = ofSeq s.tail := by simp only [tail, destruct_ofSeq, map_pure', flatten_pure] induction' s using Seq.recOn with x s <;> simp only [ofSeq, Seq.tail_nil, Seq.head_nil, Option.map_none', Seq.tail_cons, Seq.head_cons, Option.map_some'] · rfl #align stream.wseq.tail_of_seq Stream'.WSeq.tail_ofSeq @[simp] theorem dropn_ofSeq (s : Seq α) : ∀ n, drop (ofSeq s) n = ofSeq (s.drop n) | 0 => rfl | n + 1 => by simp only [drop, Nat.add_eq, Nat.add_zero, Seq.drop] rw [dropn_ofSeq s n, tail_ofSeq] #align stream.wseq.dropn_of_seq Stream'.WSeq.dropn_ofSeq theorem get?_ofSeq (s : Seq α) (n) : get? (ofSeq s) n = Computation.pure (Seq.get? s n) := by dsimp [get?]; rw [dropn_ofSeq, head_ofSeq, Seq.head_dropn] #align stream.wseq.nth_of_seq Stream'.WSeq.get?_ofSeq instance productive_ofSeq (s : Seq α) : Productive (ofSeq s) := ⟨fun n => by rw [get?_ofSeq]; infer_instance⟩ #align stream.wseq.productive_of_seq Stream'.WSeq.productive_ofSeq theorem toSeq_ofSeq (s : Seq α) : toSeq (ofSeq s) = s := by apply Subtype.eq; funext n dsimp [toSeq]; apply get_eq_of_mem rw [get?_ofSeq]; apply ret_mem #align stream.wseq.to_seq_of_seq Stream'.WSeq.toSeq_ofSeq def ret (a : α) : WSeq α := ofList [a] #align stream.wseq.ret Stream'.WSeq.ret @[simp] theorem map_nil (f : α → β) : map f nil = nil := rfl #align stream.wseq.map_nil Stream'.WSeq.map_nil @[simp] theorem map_cons (f : α → β) (a s) : map f (cons a s) = cons (f a) (map f s) := Seq.map_cons _ _ _ #align stream.wseq.map_cons Stream'.WSeq.map_cons @[simp] theorem map_think (f : α → β) (s) : map f (think s) = think (map f s) := Seq.map_cons _ _ _ #align stream.wseq.map_think Stream'.WSeq.map_think @[simp] theorem map_id (s : WSeq α) : map id s = s := by simp [map] #align stream.wseq.map_id Stream'.WSeq.map_id @[simp] theorem map_ret (f : α → β) (a) : map f (ret a) = ret (f a) := by simp [ret] #align stream.wseq.map_ret Stream'.WSeq.map_ret @[simp] theorem map_append (f : α → β) (s t) : map f (append s t) = append (map f s) (map f t) := Seq.map_append _ _ _ #align stream.wseq.map_append Stream'.WSeq.map_append theorem map_comp (f : α → β) (g : β → γ) (s : WSeq α) : map (g ∘ f) s = map g (map f s) := by dsimp [map]; rw [← Seq.map_comp] apply congr_fun; apply congr_arg ext ⟨⟩ <;> rfl #align stream.wseq.map_comp Stream'.WSeq.map_comp theorem mem_map (f : α → β) {a : α} {s : WSeq α} : a ∈ s → f a ∈ map f s := Seq.mem_map (Option.map f) #align stream.wseq.mem_map Stream'.WSeq.mem_map -- The converse is not true without additional assumptions theorem exists_of_mem_join {a : α} : ∀ {S : WSeq (WSeq α)}, a ∈ join S → ∃ s, s ∈ S ∧ a ∈ s := by suffices ∀ ss : WSeq α, a ∈ ss → ∀ s S, append s (join S) = ss → a ∈ append s (join S) → a ∈ s ∨ ∃ s, s ∈ S ∧ a ∈ s from fun S h => (this _ h nil S (by simp) (by simp [h])).resolve_left (not_mem_nil _) intro ss h; apply mem_rec_on h <;> [intro b ss o; intro ss IH] <;> intro s S · induction' s using WSeq.recOn with b' s s <;> [induction' S using WSeq.recOn with s S S; skip; skip] <;> intro ej m <;> simp at ej <;> have := congr_arg Seq.destruct ej <;> simp at this; cases this substs b' ss simp? at m ⊢ says simp only [cons_append, mem_cons_iff] at m ⊢ cases' o with e IH · simp [e] cases' m with e m · simp [e] exact Or.imp_left Or.inr (IH _ _ rfl m) · induction' s using WSeq.recOn with b' s s <;> [induction' S using WSeq.recOn with s S S; skip; skip] <;> intro ej m <;> simp at ej <;> have := congr_arg Seq.destruct ej <;> simp at this <;> subst ss · apply Or.inr -- Porting note: `exists_eq_or_imp` should be excluded. simp [-exists_eq_or_imp] at m ⊢ cases' IH s S rfl m with as ex · exact ⟨s, Or.inl rfl, as⟩ · rcases ex with ⟨s', sS, as⟩ exact ⟨s', Or.inr sS, as⟩ · apply Or.inr simp? at m says simp only [join_think, nil_append, mem_think] at m rcases (IH nil S (by simp) (by simp [m])).resolve_left (not_mem_nil _) with ⟨s, sS, as⟩ exact ⟨s, by simp [sS], as⟩ · simp only [think_append, mem_think] at m IH ⊢ apply IH _ _ rfl m #align stream.wseq.exists_of_mem_join Stream'.WSeq.exists_of_mem_join theorem exists_of_mem_bind {s : WSeq α} {f : α → WSeq β} {b} (h : b ∈ bind s f) : ∃ a ∈ s, b ∈ f a := let ⟨t, tm, bt⟩ := exists_of_mem_join h let ⟨a, as, e⟩ := exists_of_mem_map tm ⟨a, as, by rwa [e]⟩ #align stream.wseq.exists_of_mem_bind Stream'.WSeq.exists_of_mem_bind theorem destruct_map (f : α → β) (s : WSeq α) : destruct (map f s) = Computation.map (Option.map (Prod.map f (map f))) (destruct s) := by apply Computation.eq_of_bisim fun c1 c2 => ∃ s, c1 = destruct (map f s) ∧ c2 = Computation.map (Option.map (Prod.map f (map f))) (destruct s) · intro c1 c2 h cases' h with s h rw [h.left, h.right] induction' s using WSeq.recOn with a s s <;> simp exact ⟨s, rfl, rfl⟩ · exact ⟨s, rfl, rfl⟩ #align stream.wseq.destruct_map Stream'.WSeq.destruct_map theorem liftRel_map {δ} (R : α → β → Prop) (S : γ → δ → Prop) {s1 : WSeq α} {s2 : WSeq β} {f1 : α → γ} {f2 : β → δ} (h1 : LiftRel R s1 s2) (h2 : ∀ {a b}, R a b → S (f1 a) (f2 b)) : LiftRel S (map f1 s1) (map f2 s2) := ⟨fun s1 s2 => ∃ s t, s1 = map f1 s ∧ s2 = map f2 t ∧ LiftRel R s t, ⟨s1, s2, rfl, rfl, h1⟩, fun {s1 s2} h => match s1, s2, h with | _, _, ⟨s, t, rfl, rfl, h⟩ => by simp only [exists_and_left, destruct_map] apply Computation.liftRel_map _ _ (liftRel_destruct h) intro o p h cases' o with a <;> cases' p with b <;> simp · cases b; cases h · cases a; cases h · cases' a with a s; cases' b with b t cases' h with r h exact ⟨h2 r, s, rfl, t, rfl, h⟩⟩ #align stream.wseq.lift_rel_map Stream'.WSeq.liftRel_map theorem map_congr (f : α → β) {s t : WSeq α} (h : s ~ʷ t) : map f s ~ʷ map f t := liftRel_map _ _ h fun {_ _} => congr_arg _ #align stream.wseq.map_congr Stream'.WSeq.map_congr @[simp] def destruct_append.aux (t : WSeq α) : Option (α × WSeq α) → Computation (Option (α × WSeq α)) | none => destruct t | some (a, s) => Computation.pure (some (a, append s t)) #align stream.wseq.destruct_append.aux Stream'.WSeq.destruct_append.aux theorem destruct_append (s t : WSeq α) : destruct (append s t) = (destruct s).bind (destruct_append.aux t) := by apply Computation.eq_of_bisim (fun c1 c2 => ∃ s t, c1 = destruct (append s t) ∧ c2 = (destruct s).bind (destruct_append.aux t)) _ ⟨s, t, rfl, rfl⟩ intro c1 c2 h; rcases h with ⟨s, t, h⟩; rw [h.left, h.right] induction' s using WSeq.recOn with a s s <;> simp · induction' t using WSeq.recOn with b t t <;> simp · refine ⟨nil, t, ?_, ?_⟩ <;> simp · exact ⟨s, t, rfl, rfl⟩ #align stream.wseq.destruct_append Stream'.WSeq.destruct_append @[simp] def destruct_join.aux : Option (WSeq α × WSeq (WSeq α)) → Computation (Option (α × WSeq α)) | none => Computation.pure none | some (s, S) => (destruct (append s (join S))).think #align stream.wseq.destruct_join.aux Stream'.WSeq.destruct_join.aux theorem destruct_join (S : WSeq (WSeq α)) : destruct (join S) = (destruct S).bind destruct_join.aux := by apply Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ S, c1 = destruct (join S) ∧ c2 = (destruct S).bind destruct_join.aux) _ (Or.inr ⟨S, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl <| rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨S, rfl, rfl⟩ => by induction' S using WSeq.recOn with s S S <;> simp · refine Or.inr ⟨S, rfl, rfl⟩ #align stream.wseq.destruct_join Stream'.WSeq.destruct_join theorem liftRel_append (R : α → β → Prop) {s1 s2 : WSeq α} {t1 t2 : WSeq β} (h1 : LiftRel R s1 t1) (h2 : LiftRel R s2 t2) : LiftRel R (append s1 s2) (append t1 t2) := ⟨fun s t => LiftRel R s t ∨ ∃ s1 t1, s = append s1 s2 ∧ t = append t1 t2 ∧ LiftRel R s1 t1, Or.inr ⟨s1, t1, rfl, rfl, h1⟩, fun {s t} h => match s, t, h with | s, t, Or.inl h => by apply Computation.LiftRel.imp _ _ _ (liftRel_destruct h) intro a b; apply LiftRelO.imp_right intro s t; apply Or.inl | _, _, Or.inr ⟨s1, t1, rfl, rfl, h⟩ => by simp only [LiftRelO, exists_and_left, destruct_append, destruct_append.aux] apply Computation.liftRel_bind _ _ (liftRel_destruct h) intro o p h cases' o with a <;> cases' p with b · simp only [destruct_append.aux] apply Computation.LiftRel.imp _ _ _ (liftRel_destruct h2) intro a b apply LiftRelO.imp_right intro s t apply Or.inl · cases b; cases h · cases a; cases h · cases' a with a s; cases' b with b t cases' h with r h -- Porting note: These 2 theorems should be excluded. simpa [-liftRel_pure_left, -liftRel_pure_right] using ⟨r, Or.inr ⟨s, rfl, t, rfl, h⟩⟩⟩ #align stream.wseq.lift_rel_append Stream'.WSeq.liftRel_append theorem liftRel_join.lem (R : α → β → Prop) {S T} {U : WSeq α → WSeq β → Prop} (ST : LiftRel (LiftRel R) S T) (HU : ∀ s1 s2, (∃ s t S T, s1 = append s (join S) ∧ s2 = append t (join T) ∧ LiftRel R s t ∧ LiftRel (LiftRel R) S T) → U s1 s2) {a} (ma : a ∈ destruct (join S)) : ∃ b, b ∈ destruct (join T) ∧ LiftRelO R U a b := by cases' exists_results_of_mem ma with n h; clear ma; revert S T ST a induction' n using Nat.strongInductionOn with n IH intro S T ST a ra; simp only [destruct_join] at ra exact let ⟨o, m, k, rs1, rs2, en⟩ := of_results_bind ra let ⟨p, mT, rop⟩ := Computation.exists_of_liftRel_left (liftRel_destruct ST) rs1.mem match o, p, rop, rs1, rs2, mT with | none, none, _, _, rs2, mT => by simp only [destruct_join] exact ⟨none, mem_bind mT (ret_mem _), by rw [eq_of_pure_mem rs2.mem]; trivial⟩ | some (s, S'), some (t, T'), ⟨st, ST'⟩, _, rs2, mT => by simp? [destruct_append] at rs2 says simp only [destruct_join.aux, destruct_append] at rs2 exact let ⟨k1, rs3, ek⟩ := of_results_think rs2 let ⟨o', m1, n1, rs4, rs5, ek1⟩ := of_results_bind rs3 let ⟨p', mt, rop'⟩ := Computation.exists_of_liftRel_left (liftRel_destruct st) rs4.mem match o', p', rop', rs4, rs5, mt with | none, none, _, _, rs5', mt => by have : n1 < n := by rw [en, ek, ek1] apply lt_of_lt_of_le _ (Nat.le_add_right _ _) apply Nat.lt_succ_of_le (Nat.le_add_right _ _) let ⟨ob, mb, rob⟩ := IH _ this ST' rs5' refine ⟨ob, ?_, rob⟩ · simp (config := { unfoldPartialApp := true }) only [destruct_join, destruct_join.aux] apply mem_bind mT simp only [destruct_append, destruct_append.aux] apply think_mem apply mem_bind mt exact mb | some (a, s'), some (b, t'), ⟨ab, st'⟩, _, rs5, mt => by simp? at rs5 says simp only [destruct_append.aux] at rs5 refine ⟨some (b, append t' (join T')), ?_, ?_⟩ · simp (config := { unfoldPartialApp := true }) only [destruct_join, destruct_join.aux] apply mem_bind mT simp only [destruct_append, destruct_append.aux] apply think_mem apply mem_bind mt apply ret_mem rw [eq_of_pure_mem rs5.mem] exact ⟨ab, HU _ _ ⟨s', t', S', T', rfl, rfl, st', ST'⟩⟩ #align stream.wseq.lift_rel_join.lem Stream'.WSeq.liftRel_join.lem theorem liftRel_join (R : α → β → Prop) {S : WSeq (WSeq α)} {T : WSeq (WSeq β)} (h : LiftRel (LiftRel R) S T) : LiftRel R (join S) (join T) := ⟨fun s1 s2 => ∃ s t S T, s1 = append s (join S) ∧ s2 = append t (join T) ∧ LiftRel R s t ∧ LiftRel (LiftRel R) S T, ⟨nil, nil, S, T, by simp, by simp, by simp, h⟩, fun {s1 s2} ⟨s, t, S, T, h1, h2, st, ST⟩ => by rw [h1, h2]; rw [destruct_append, destruct_append] apply Computation.liftRel_bind _ _ (liftRel_destruct st) exact fun {o p} h => match o, p, h with | some (a, s), some (b, t), ⟨h1, h2⟩ => by -- Porting note: These 2 theorems should be excluded. simpa [-liftRel_pure_left, -liftRel_pure_right] using ⟨h1, s, t, S, rfl, T, rfl, h2, ST⟩ | none, none, _ => by -- Porting note: `LiftRelO` should be excluded. dsimp [destruct_append.aux, Computation.LiftRel, -LiftRelO]; constructor · intro apply liftRel_join.lem _ ST fun _ _ => id · intro b mb rw [← LiftRelO.swap] apply liftRel_join.lem (swap R) · rw [← LiftRel.swap R, ← LiftRel.swap] apply ST · rw [← LiftRel.swap R, ← LiftRel.swap (LiftRel R)] exact fun s1 s2 ⟨s, t, S, T, h1, h2, st, ST⟩ => ⟨t, s, T, S, h2, h1, st, ST⟩ · exact mb⟩ #align stream.wseq.lift_rel_join Stream'.WSeq.liftRel_join theorem join_congr {S T : WSeq (WSeq α)} (h : LiftRel Equiv S T) : join S ~ʷ join T := liftRel_join _ h #align stream.wseq.join_congr Stream'.WSeq.join_congr theorem liftRel_bind {δ} (R : α → β → Prop) (S : γ → δ → Prop) {s1 : WSeq α} {s2 : WSeq β} {f1 : α → WSeq γ} {f2 : β → WSeq δ} (h1 : LiftRel R s1 s2) (h2 : ∀ {a b}, R a b → LiftRel S (f1 a) (f2 b)) : LiftRel S (bind s1 f1) (bind s2 f2) := liftRel_join _ (liftRel_map _ _ h1 @h2) #align stream.wseq.lift_rel_bind Stream'.WSeq.liftRel_bind theorem bind_congr {s1 s2 : WSeq α} {f1 f2 : α → WSeq β} (h1 : s1 ~ʷ s2) (h2 : ∀ a, f1 a ~ʷ f2 a) : bind s1 f1 ~ʷ bind s2 f2 := liftRel_bind _ _ h1 fun {a b} h => by rw [h]; apply h2 #align stream.wseq.bind_congr Stream'.WSeq.bind_congr @[simp] theorem join_ret (s : WSeq α) : join (ret s) ~ʷ s := by simpa [ret] using think_equiv _ #align stream.wseq.join_ret Stream'.WSeq.join_ret @[simp] theorem join_map_ret (s : WSeq α) : join (map ret s) ~ʷ s := by refine ⟨fun s1 s2 => join (map ret s2) = s1, rfl, ?_⟩ intro s' s h; rw [← h] apply liftRel_rec fun c1 c2 => ∃ s, c1 = destruct (join (map ret s)) ∧ c2 = destruct s · exact fun {c1 c2} h => match c1, c2, h with | _, _, ⟨s, rfl, rfl⟩ => by clear h -- Porting note: `ret` is simplified in `simp` so `ret`s become `fun a => cons a nil` here. have : ∀ s, ∃ s' : WSeq α, (map (fun a => cons a nil) s).join.destruct = (map (fun a => cons a nil) s').join.destruct ∧ destruct s = s'.destruct := fun s => ⟨s, rfl, rfl⟩ induction' s using WSeq.recOn with a s s <;> simp (config := { unfoldPartialApp := true }) [ret, ret_mem, this, Option.exists] · exact ⟨s, rfl, rfl⟩ #align stream.wseq.join_map_ret Stream'.WSeq.join_map_ret @[simp] theorem join_append (S T : WSeq (WSeq α)) : join (append S T) ~ʷ append (join S) (join T) := by refine ⟨fun s1 s2 => ∃ s S T, s1 = append s (join (append S T)) ∧ s2 = append s (append (join S) (join T)), ⟨nil, S, T, by simp, by simp⟩, ?_⟩ intro s1 s2 h apply liftRel_rec (fun c1 c2 => ∃ (s : WSeq α) (S T : _), c1 = destruct (append s (join (append S T))) ∧ c2 = destruct (append s (append (join S) (join T)))) _ _ _ (let ⟨s, S, T, h1, h2⟩ := h ⟨s, S, T, congr_arg destruct h1, congr_arg destruct h2⟩) rintro c1 c2 ⟨s, S, T, rfl, rfl⟩ induction' s using WSeq.recOn with a s s <;> simp · induction' S using WSeq.recOn with s S S <;> simp · induction' T using WSeq.recOn with s T T <;> simp · refine ⟨s, nil, T, ?_, ?_⟩ <;> simp · refine ⟨nil, nil, T, ?_, ?_⟩ <;> simp · exact ⟨s, S, T, rfl, rfl⟩ · refine ⟨nil, S, T, ?_, ?_⟩ <;> simp · exact ⟨s, S, T, rfl, rfl⟩ · exact ⟨s, S, T, rfl, rfl⟩ #align stream.wseq.join_append Stream'.WSeq.join_append @[simp] theorem bind_ret (f : α → β) (s) : bind s (ret ∘ f) ~ʷ map f s := by dsimp [bind] rw [map_comp] apply join_map_ret #align stream.wseq.bind_ret Stream'.WSeq.bind_ret @[simp] theorem ret_bind (a : α) (f : α → WSeq β) : bind (ret a) f ~ʷ f a := by simp [bind] #align stream.wseq.ret_bind Stream'.WSeq.ret_bind @[simp] theorem map_join (f : α → β) (S) : map f (join S) = join (map (map f) S) := by apply Seq.eq_of_bisim fun s1 s2 => ∃ s S, s1 = append s (map f (join S)) ∧ s2 = append s (join (map (map f) S)) · intro s1 s2 h exact match s1, s2, h with | _, _, ⟨s, S, rfl, rfl⟩ => by induction' s using WSeq.recOn with a s s <;> simp · induction' S using WSeq.recOn with s S S <;> simp · exact ⟨map f s, S, rfl, rfl⟩ · refine ⟨nil, S, ?_, ?_⟩ <;> simp · exact ⟨_, _, rfl, rfl⟩ · exact ⟨_, _, rfl, rfl⟩ · refine ⟨nil, S, ?_, ?_⟩ <;> simp #align stream.wseq.map_join Stream'.WSeq.map_join @[simp] theorem join_join (SS : WSeq (WSeq (WSeq α))) : join (join SS) ~ʷ join (map join SS) := by refine ⟨fun s1 s2 => ∃ s S SS, s1 = append s (join (append S (join SS))) ∧ s2 = append s (append (join S) (join (map join SS))), ⟨nil, nil, SS, by simp, by simp⟩, ?_⟩ intro s1 s2 h apply liftRel_rec (fun c1 c2 => ∃ s S SS, c1 = destruct (append s (join (append S (join SS)))) ∧ c2 = destruct (append s (append (join S) (join (map join SS))))) _ (destruct s1) (destruct s2) (let ⟨s, S, SS, h1, h2⟩ := h ⟨s, S, SS, by simp [h1], by simp [h2]⟩) intro c1 c2 h exact match c1, c2, h with | _, _, ⟨s, S, SS, rfl, rfl⟩ => by clear h induction' s using WSeq.recOn with a s s <;> simp · induction' S using WSeq.recOn with s S S <;> simp · induction' SS using WSeq.recOn with S SS SS <;> simp · refine ⟨nil, S, SS, ?_, ?_⟩ <;> simp · refine ⟨nil, nil, SS, ?_, ?_⟩ <;> simp · exact ⟨s, S, SS, rfl, rfl⟩ · refine ⟨nil, S, SS, ?_, ?_⟩ <;> simp · exact ⟨s, S, SS, rfl, rfl⟩ · exact ⟨s, S, SS, rfl, rfl⟩ #align stream.wseq.join_join Stream'.WSeq.join_join @[simp]
Mathlib/Data/Seq/WSeq.lean
1,804
1,807
theorem bind_assoc (s : WSeq α) (f : α → WSeq β) (g : β → WSeq γ) : bind (bind s f) g ~ʷ bind s fun x : α => bind (f x) g := by
simp only [bind, map_join]; erw [← map_comp f (map g), map_comp (map g ∘ f) join] apply join_join
import Mathlib.Data.Finsupp.Multiset import Mathlib.Data.Nat.GCD.BigOperators import Mathlib.Data.Nat.PrimeFin import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" -- Workaround for lean4#2038 attribute [-instance] instBEqNat open Nat Finset List Finsupp namespace Nat variable {a b m n p : ℕ} def factorization (n : ℕ) : ℕ →₀ ℕ where support := n.primeFactors toFun p := if p.Prime then padicValNat p n else 0 mem_support_toFun := by simp [not_or]; aesop #align nat.factorization Nat.factorization @[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by simpa [factorization] using absurd pp #align nat.factorization_def Nat.factorization_def @[simp] theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by rcases n.eq_zero_or_pos with (rfl | hn0) · simp [factorization, count] if pp : p.Prime then ?_ else rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)] simp [factorization, pp] simp only [factorization_def _ pp] apply _root_.le_antisymm · rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne'] exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm · rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le, le_padicValNat_iff_replicate_subperm_factors pp hn0.ne'] intro h have := h.count_le p simp at this #align nat.factors_count_eq Nat.factors_count_eq theorem factorization_eq_factors_multiset (n : ℕ) : n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by ext p simp #align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) : multiplicity p n = n.factorization p := by simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt] #align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization @[simp] theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by rw [factorization_eq_factors_multiset n] simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset] exact prod_factors hn #align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) (h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b := eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h) #align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h => eq_of_factorization_eq ha hb fun p => by simp [h] #align nat.factorization_inj Nat.factorization_inj @[simp] theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization] #align nat.factorization_zero Nat.factorization_zero @[simp] theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization] #align nat.factorization_one Nat.factorization_one #noalign nat.support_factorization #align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors #align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors #align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors #align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors theorem factorization_eq_zero_iff (n p : ℕ) : n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff] #align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff @[simp] theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) : n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp] #align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by simp [factorization_eq_zero_iff, h] #align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 := Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h)) #align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt @[simp] theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 := factorization_eq_zero_of_non_prime _ not_prime_zero #align nat.factorization_zero_right Nat.factorization_zero_right @[simp] theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 := factorization_eq_zero_of_non_prime _ not_prime_one #align nat.factorization_one_right Nat.factorization_one_right theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n := dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn #align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) : 0 < n.factorization p := by rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp] #align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
Mathlib/Data/Nat/Factorization/Basic.lean
170
173
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) : (p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
import Mathlib.Algebra.Order.Sub.Defs import Mathlib.Data.Finset.Basic import Mathlib.Order.Interval.Finset.Defs open Function namespace Finset class HasAntidiagonal (A : Type*) [AddMonoid A] where antidiagonal : A → Finset (A × A) mem_antidiagonal {n} {a} : a ∈ antidiagonal n ↔ a.fst + a.snd = n export HasAntidiagonal (antidiagonal mem_antidiagonal) attribute [simp] mem_antidiagonal variable {A : Type*} instance [AddMonoid A] : Subsingleton (HasAntidiagonal A) := ⟨by rintro ⟨a, ha⟩ ⟨b, hb⟩ congr with n xy rw [ha, hb]⟩ -- The goal of this lemma is to allow to rewrite antidiagonal -- when the decidability instances obsucate Lean lemma hasAntidiagonal_congr (A : Type*) [AddMonoid A] [H1 : HasAntidiagonal A] [H2 : HasAntidiagonal A] : H1.antidiagonal = H2.antidiagonal := by congr!; apply Subsingleton.elim
Mathlib/Data/Finset/Antidiagonal.lean
80
82
theorem swap_mem_antidiagonal [AddCommMonoid A] [HasAntidiagonal A] {n : A} {xy : A × A}: xy.swap ∈ antidiagonal n ↔ xy ∈ antidiagonal n := by
simp [add_comm]
import Mathlib.Data.Real.NNReal import Mathlib.RingTheory.Valuation.Basic noncomputable section open Function Multiplicative open scoped NNReal variable {R : Type*} [Ring R] {Γ₀ : Type*} [LinearOrderedCommGroupWithZero Γ₀] namespace Valuation class RankOne (v : Valuation R Γ₀) where hom : Γ₀ →*₀ ℝ≥0 strictMono' : StrictMono hom nontrivial' : ∃ r : R, v r ≠ 0 ∧ v r ≠ 1 namespace RankOne variable (v : Valuation R Γ₀) [RankOne v] lemma strictMono : StrictMono (hom v) := strictMono' lemma nontrivial : ∃ r : R, v r ≠ 0 ∧ v r ≠ 1 := nontrivial' theorem zero_of_hom_zero {x : Γ₀} (hx : hom v x = 0) : x = 0 := by refine (eq_of_le_of_not_lt (zero_le' (a := x)) fun h_lt ↦ ?_).symm have hs := strictMono v h_lt rw [_root_.map_zero, hx] at hs exact hs.false theorem hom_eq_zero_iff {x : Γ₀} : RankOne.hom v x = 0 ↔ x = 0 := ⟨fun h ↦ zero_of_hom_zero v h, fun h ↦ by rw [h, _root_.map_zero]⟩ def unit : Γ₀ˣ := Units.mk0 (v (nontrivial v).choose) ((nontrivial v).choose_spec).1
Mathlib/RingTheory/Valuation/RankOne.lean
67
69
theorem unit_ne_one : unit v ≠ 1 := by
rw [Ne, ← Units.eq_iff, Units.val_one] exact ((nontrivial v).choose_spec ).2
import Mathlib.Algebra.Associated import Mathlib.Algebra.Star.Unitary import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Tactic.Ring #align_import number_theory.zsqrtd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" @[ext] structure Zsqrtd (d : ℤ) where re : ℤ im : ℤ deriving DecidableEq #align zsqrtd Zsqrtd #align zsqrtd.ext Zsqrtd.ext_iff prefix:100 "ℤ√" => Zsqrtd namespace Zsqrtd section variable {d : ℤ} def ofInt (n : ℤ) : ℤ√d := ⟨n, 0⟩ #align zsqrtd.of_int Zsqrtd.ofInt theorem ofInt_re (n : ℤ) : (ofInt n : ℤ√d).re = n := rfl #align zsqrtd.of_int_re Zsqrtd.ofInt_re theorem ofInt_im (n : ℤ) : (ofInt n : ℤ√d).im = 0 := rfl #align zsqrtd.of_int_im Zsqrtd.ofInt_im instance : Zero (ℤ√d) := ⟨ofInt 0⟩ @[simp] theorem zero_re : (0 : ℤ√d).re = 0 := rfl #align zsqrtd.zero_re Zsqrtd.zero_re @[simp] theorem zero_im : (0 : ℤ√d).im = 0 := rfl #align zsqrtd.zero_im Zsqrtd.zero_im instance : Inhabited (ℤ√d) := ⟨0⟩ instance : One (ℤ√d) := ⟨ofInt 1⟩ @[simp] theorem one_re : (1 : ℤ√d).re = 1 := rfl #align zsqrtd.one_re Zsqrtd.one_re @[simp] theorem one_im : (1 : ℤ√d).im = 0 := rfl #align zsqrtd.one_im Zsqrtd.one_im def sqrtd : ℤ√d := ⟨0, 1⟩ #align zsqrtd.sqrtd Zsqrtd.sqrtd @[simp] theorem sqrtd_re : (sqrtd : ℤ√d).re = 0 := rfl #align zsqrtd.sqrtd_re Zsqrtd.sqrtd_re @[simp] theorem sqrtd_im : (sqrtd : ℤ√d).im = 1 := rfl #align zsqrtd.sqrtd_im Zsqrtd.sqrtd_im instance : Add (ℤ√d) := ⟨fun z w => ⟨z.1 + w.1, z.2 + w.2⟩⟩ @[simp] theorem add_def (x y x' y' : ℤ) : (⟨x, y⟩ + ⟨x', y'⟩ : ℤ√d) = ⟨x + x', y + y'⟩ := rfl #align zsqrtd.add_def Zsqrtd.add_def @[simp] theorem add_re (z w : ℤ√d) : (z + w).re = z.re + w.re := rfl #align zsqrtd.add_re Zsqrtd.add_re @[simp] theorem add_im (z w : ℤ√d) : (z + w).im = z.im + w.im := rfl #align zsqrtd.add_im Zsqrtd.add_im #noalign zsqrtd.bit0_re #noalign zsqrtd.bit0_im #noalign zsqrtd.bit1_re #noalign zsqrtd.bit1_im instance : Neg (ℤ√d) := ⟨fun z => ⟨-z.1, -z.2⟩⟩ @[simp] theorem neg_re (z : ℤ√d) : (-z).re = -z.re := rfl #align zsqrtd.neg_re Zsqrtd.neg_re @[simp] theorem neg_im (z : ℤ√d) : (-z).im = -z.im := rfl #align zsqrtd.neg_im Zsqrtd.neg_im instance : Mul (ℤ√d) := ⟨fun z w => ⟨z.1 * w.1 + d * z.2 * w.2, z.1 * w.2 + z.2 * w.1⟩⟩ @[simp] theorem mul_re (z w : ℤ√d) : (z * w).re = z.re * w.re + d * z.im * w.im := rfl #align zsqrtd.mul_re Zsqrtd.mul_re @[simp] theorem mul_im (z w : ℤ√d) : (z * w).im = z.re * w.im + z.im * w.re := rfl #align zsqrtd.mul_im Zsqrtd.mul_im instance addCommGroup : AddCommGroup (ℤ√d) := by refine { add := (· + ·) zero := (0 : ℤ√d) sub := fun a b => a + -b neg := Neg.neg nsmul := @nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ zsmul := @zsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ ⟨Neg.neg⟩ (@nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩) add_assoc := ?_ zero_add := ?_ add_zero := ?_ add_left_neg := ?_ add_comm := ?_ } <;> intros <;> ext <;> simp [add_comm, add_left_comm] @[simp] theorem sub_re (z w : ℤ√d) : (z - w).re = z.re - w.re := rfl @[simp] theorem sub_im (z w : ℤ√d) : (z - w).im = z.im - w.im := rfl instance addGroupWithOne : AddGroupWithOne (ℤ√d) := { Zsqrtd.addCommGroup with natCast := fun n => ofInt n intCast := ofInt one := 1 } instance commRing : CommRing (ℤ√d) := by refine { Zsqrtd.addGroupWithOne with mul := (· * ·) npow := @npowRec (ℤ√d) ⟨1⟩ ⟨(· * ·)⟩, add_comm := ?_ left_distrib := ?_ right_distrib := ?_ zero_mul := ?_ mul_zero := ?_ mul_assoc := ?_ one_mul := ?_ mul_one := ?_ mul_comm := ?_ } <;> intros <;> ext <;> simp <;> ring instance : AddMonoid (ℤ√d) := by infer_instance instance : Monoid (ℤ√d) := by infer_instance instance : CommMonoid (ℤ√d) := by infer_instance instance : CommSemigroup (ℤ√d) := by infer_instance instance : Semigroup (ℤ√d) := by infer_instance instance : AddCommSemigroup (ℤ√d) := by infer_instance instance : AddSemigroup (ℤ√d) := by infer_instance instance : CommSemiring (ℤ√d) := by infer_instance instance : Semiring (ℤ√d) := by infer_instance instance : Ring (ℤ√d) := by infer_instance instance : Distrib (ℤ√d) := by infer_instance instance : Star (ℤ√d) where star z := ⟨z.1, -z.2⟩ @[simp] theorem star_mk (x y : ℤ) : star (⟨x, y⟩ : ℤ√d) = ⟨x, -y⟩ := rfl #align zsqrtd.star_mk Zsqrtd.star_mk @[simp] theorem star_re (z : ℤ√d) : (star z).re = z.re := rfl #align zsqrtd.star_re Zsqrtd.star_re @[simp] theorem star_im (z : ℤ√d) : (star z).im = -z.im := rfl #align zsqrtd.star_im Zsqrtd.star_im instance : StarRing (ℤ√d) where star_involutive x := Zsqrtd.ext _ _ rfl (neg_neg _) star_mul a b := by ext <;> simp <;> ring star_add a b := Zsqrtd.ext _ _ rfl (neg_add _ _) -- Porting note: proof was `by decide` instance nontrivial : Nontrivial (ℤ√d) := ⟨⟨0, 1, (Zsqrtd.ext_iff 0 1).not.mpr (by simp)⟩⟩ @[simp] theorem natCast_re (n : ℕ) : (n : ℤ√d).re = n := rfl #align zsqrtd.coe_nat_re Zsqrtd.natCast_re @[simp] theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).re = n := rfl @[simp] theorem natCast_im (n : ℕ) : (n : ℤ√d).im = 0 := rfl #align zsqrtd.coe_nat_im Zsqrtd.natCast_im @[simp] theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).im = 0 := rfl theorem natCast_val (n : ℕ) : (n : ℤ√d) = ⟨n, 0⟩ := rfl #align zsqrtd.coe_nat_val Zsqrtd.natCast_val @[simp] theorem intCast_re (n : ℤ) : (n : ℤ√d).re = n := by cases n <;> rfl #align zsqrtd.coe_int_re Zsqrtd.intCast_re @[simp] theorem intCast_im (n : ℤ) : (n : ℤ√d).im = 0 := by cases n <;> rfl #align zsqrtd.coe_int_im Zsqrtd.intCast_im theorem intCast_val (n : ℤ) : (n : ℤ√d) = ⟨n, 0⟩ := by ext <;> simp #align zsqrtd.coe_int_val Zsqrtd.intCast_val instance : CharZero (ℤ√d) where cast_injective m n := by simp [Zsqrtd.ext_iff] @[simp] theorem ofInt_eq_intCast (n : ℤ) : (ofInt n : ℤ√d) = n := by ext <;> simp [ofInt_re, ofInt_im] #align zsqrtd.of_int_eq_coe Zsqrtd.ofInt_eq_intCast @[deprecated (since := "2024-04-05")] alias coe_nat_re := natCast_re @[deprecated (since := "2024-04-05")] alias coe_nat_im := natCast_im @[deprecated (since := "2024-04-05")] alias coe_nat_val := natCast_val @[deprecated (since := "2024-04-05")] alias coe_int_re := intCast_re @[deprecated (since := "2024-04-05")] alias coe_int_im := intCast_im @[deprecated (since := "2024-04-05")] alias coe_int_val := intCast_val @[deprecated (since := "2024-04-05")] alias ofInt_eq_coe := ofInt_eq_intCast @[simp] theorem smul_val (n x y : ℤ) : (n : ℤ√d) * ⟨x, y⟩ = ⟨n * x, n * y⟩ := by ext <;> simp #align zsqrtd.smul_val Zsqrtd.smul_val theorem smul_re (a : ℤ) (b : ℤ√d) : (↑a * b).re = a * b.re := by simp #align zsqrtd.smul_re Zsqrtd.smul_re theorem smul_im (a : ℤ) (b : ℤ√d) : (↑a * b).im = a * b.im := by simp #align zsqrtd.smul_im Zsqrtd.smul_im @[simp] theorem muld_val (x y : ℤ) : sqrtd (d := d) * ⟨x, y⟩ = ⟨d * y, x⟩ := by ext <;> simp #align zsqrtd.muld_val Zsqrtd.muld_val @[simp] theorem dmuld : sqrtd (d := d) * sqrtd (d := d) = d := by ext <;> simp #align zsqrtd.dmuld Zsqrtd.dmuld @[simp] theorem smuld_val (n x y : ℤ) : sqrtd * (n : ℤ√d) * ⟨x, y⟩ = ⟨d * n * y, n * x⟩ := by ext <;> simp #align zsqrtd.smuld_val Zsqrtd.smuld_val theorem decompose {x y : ℤ} : (⟨x, y⟩ : ℤ√d) = x + sqrtd (d := d) * y := by ext <;> simp #align zsqrtd.decompose Zsqrtd.decompose theorem mul_star {x y : ℤ} : (⟨x, y⟩ * star ⟨x, y⟩ : ℤ√d) = x * x - d * y * y := by ext <;> simp [sub_eq_add_neg, mul_comm] #align zsqrtd.mul_star Zsqrtd.mul_star @[deprecated (since := "2024-05-25")] alias coe_int_add := Int.cast_add @[deprecated (since := "2024-05-25")] alias coe_int_sub := Int.cast_sub @[deprecated (since := "2024-05-25")] alias coe_int_mul := Int.cast_mul @[deprecated (since := "2024-05-25")] alias coe_int_inj := Int.cast_inj theorem intCast_dvd (z : ℤ) (a : ℤ√d) : ↑z ∣ a ↔ z ∣ a.re ∧ z ∣ a.im := by constructor · rintro ⟨x, rfl⟩ simp only [add_zero, intCast_re, zero_mul, mul_im, dvd_mul_right, and_self_iff, mul_re, mul_zero, intCast_im] · rintro ⟨⟨r, hr⟩, ⟨i, hi⟩⟩ use ⟨r, i⟩ rw [smul_val, Zsqrtd.ext_iff] exact ⟨hr, hi⟩ #align zsqrtd.coe_int_dvd_iff Zsqrtd.intCast_dvd @[simp, norm_cast] theorem intCast_dvd_intCast (a b : ℤ) : (a : ℤ√d) ∣ b ↔ a ∣ b := by rw [intCast_dvd] constructor · rintro ⟨hre, -⟩ rwa [intCast_re] at hre · rw [intCast_re, intCast_im] exact fun hc => ⟨hc, dvd_zero a⟩ #align zsqrtd.coe_int_dvd_coe_int Zsqrtd.intCast_dvd_intCast @[deprecated (since := "2024-05-25")] alias coe_int_dvd_iff := intCast_dvd @[deprecated (since := "2024-05-25")] alias coe_int_dvd_coe_int := intCast_dvd_intCast protected theorem eq_of_smul_eq_smul_left {a : ℤ} {b c : ℤ√d} (ha : a ≠ 0) (h : ↑a * b = a * c) : b = c := by rw [Zsqrtd.ext_iff] at h ⊢ apply And.imp _ _ h <;> simpa only [smul_re, smul_im] using mul_left_cancel₀ ha #align zsqrtd.eq_of_smul_eq_smul_left Zsqrtd.eq_of_smul_eq_smul_left def SqLe (a c b d : ℕ) : Prop := c * a * a ≤ d * b * b #align zsqrtd.sq_le Zsqrtd.SqLe theorem sqLe_of_le {c d x y z w : ℕ} (xz : z ≤ x) (yw : y ≤ w) (xy : SqLe x c y d) : SqLe z c w d := le_trans (mul_le_mul (Nat.mul_le_mul_left _ xz) xz (Nat.zero_le _) (Nat.zero_le _)) <| le_trans xy (mul_le_mul (Nat.mul_le_mul_left _ yw) yw (Nat.zero_le _) (Nat.zero_le _)) #align zsqrtd.sq_le_of_le Zsqrtd.sqLe_of_le theorem sqLe_add_mixed {c d x y z w : ℕ} (xy : SqLe x c y d) (zw : SqLe z c w d) : c * (x * z) ≤ d * (y * w) := Nat.mul_self_le_mul_self_iff.1 <| by simpa [mul_comm, mul_left_comm] using mul_le_mul xy zw (Nat.zero_le _) (Nat.zero_le _) #align zsqrtd.sq_le_add_mixed Zsqrtd.sqLe_add_mixed theorem sqLe_add {c d x y z w : ℕ} (xy : SqLe x c y d) (zw : SqLe z c w d) : SqLe (x + z) c (y + w) d := by have xz := sqLe_add_mixed xy zw simp? [SqLe, mul_assoc] at xy zw says simp only [SqLe, mul_assoc] at xy zw simp [SqLe, mul_add, mul_comm, mul_left_comm, add_le_add, *] #align zsqrtd.sq_le_add Zsqrtd.sqLe_add theorem sqLe_cancel {c d x y z w : ℕ} (zw : SqLe y d x c) (h : SqLe (x + z) c (y + w) d) : SqLe z c w d := by apply le_of_not_gt intro l refine not_le_of_gt ?_ h simp only [SqLe, mul_add, mul_comm, mul_left_comm, add_assoc, gt_iff_lt] have hm := sqLe_add_mixed zw (le_of_lt l) simp only [SqLe, mul_assoc, gt_iff_lt] at l zw exact lt_of_le_of_lt (add_le_add_right zw _) (add_lt_add_left (add_lt_add_of_le_of_lt hm (add_lt_add_of_le_of_lt hm l)) _) #align zsqrtd.sq_le_cancel Zsqrtd.sqLe_cancel
Mathlib/NumberTheory/Zsqrtd/Basic.lean
442
443
theorem sqLe_smul {c d x y : ℕ} (n : ℕ) (xy : SqLe x c y d) : SqLe (n * x) c (n * y) d := by
simpa [SqLe, mul_left_comm, mul_assoc] using Nat.mul_le_mul_left (n * n) xy
import Mathlib.Analysis.InnerProductSpace.Adjoint #align_import analysis.inner_product_space.positive from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" open InnerProductSpace RCLike ContinuousLinearMap open scoped InnerProduct ComplexConjugate namespace ContinuousLinearMap variable {𝕜 E F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] variable [CompleteSpace E] [CompleteSpace F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y def IsPositive (T : E →L[𝕜] E) : Prop := IsSelfAdjoint T ∧ ∀ x, 0 ≤ T.reApplyInnerSelf x #align continuous_linear_map.is_positive ContinuousLinearMap.IsPositive theorem IsPositive.isSelfAdjoint {T : E →L[𝕜] E} (hT : IsPositive T) : IsSelfAdjoint T := hT.1 #align continuous_linear_map.is_positive.is_self_adjoint ContinuousLinearMap.IsPositive.isSelfAdjoint theorem IsPositive.inner_nonneg_left {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪T x, x⟫ := hT.2 x #align continuous_linear_map.is_positive.inner_nonneg_left ContinuousLinearMap.IsPositive.inner_nonneg_left theorem IsPositive.inner_nonneg_right {T : E →L[𝕜] E} (hT : IsPositive T) (x : E) : 0 ≤ re ⟪x, T x⟫ := by rw [inner_re_symm]; exact hT.inner_nonneg_left x #align continuous_linear_map.is_positive.inner_nonneg_right ContinuousLinearMap.IsPositive.inner_nonneg_right theorem isPositive_zero : IsPositive (0 : E →L[𝕜] E) := by refine ⟨isSelfAdjoint_zero _, fun x => ?_⟩ change 0 ≤ re ⟪_, _⟫ rw [zero_apply, inner_zero_left, ZeroHomClass.map_zero] #align continuous_linear_map.is_positive_zero ContinuousLinearMap.isPositive_zero theorem isPositive_one : IsPositive (1 : E →L[𝕜] E) := ⟨isSelfAdjoint_one _, fun _ => inner_self_nonneg⟩ #align continuous_linear_map.is_positive_one ContinuousLinearMap.isPositive_one theorem IsPositive.add {T S : E →L[𝕜] E} (hT : T.IsPositive) (hS : S.IsPositive) : (T + S).IsPositive := by refine ⟨hT.isSelfAdjoint.add hS.isSelfAdjoint, fun x => ?_⟩ rw [reApplyInnerSelf, add_apply, inner_add_left, map_add] exact add_nonneg (hT.inner_nonneg_left x) (hS.inner_nonneg_left x) #align continuous_linear_map.is_positive.add ContinuousLinearMap.IsPositive.add theorem IsPositive.conj_adjoint {T : E →L[𝕜] E} (hT : T.IsPositive) (S : E →L[𝕜] F) : (S ∘L T ∘L S†).IsPositive := by refine ⟨hT.isSelfAdjoint.conj_adjoint S, fun x => ?_⟩ rw [reApplyInnerSelf, comp_apply, ← adjoint_inner_right] exact hT.inner_nonneg_left _ #align continuous_linear_map.is_positive.conj_adjoint ContinuousLinearMap.IsPositive.conj_adjoint theorem IsPositive.adjoint_conj {T : E →L[𝕜] E} (hT : T.IsPositive) (S : F →L[𝕜] E) : (S† ∘L T ∘L S).IsPositive := by convert hT.conj_adjoint (S†) rw [adjoint_adjoint] #align continuous_linear_map.is_positive.adjoint_conj ContinuousLinearMap.IsPositive.adjoint_conj
Mathlib/Analysis/InnerProductSpace/Positive.lean
101
106
theorem IsPositive.conj_orthogonalProjection (U : Submodule 𝕜 E) {T : E →L[𝕜] E} (hT : T.IsPositive) [CompleteSpace U] : (U.subtypeL ∘L orthogonalProjection U ∘L T ∘L U.subtypeL ∘L orthogonalProjection U).IsPositive := by
have := hT.conj_adjoint (U.subtypeL ∘L orthogonalProjection U) rwa [(orthogonalProjection_isSelfAdjoint U).adjoint_eq] at this
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.Data.Complex.Orientation import Mathlib.Tactic.LinearCombination #align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af" noncomputable section open scoped RealInnerProductSpace ComplexConjugate open FiniteDimensional lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K] [AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V := .of_fact_finrank_eq_succ 1 attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two @[deprecated (since := "2024-02-02")] alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two := FiniteDimensional.of_fact_finrank_eq_two variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)] (o : Orientation ℝ E (Fin 2)) namespace Orientation irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ := AlternatingMap.constLinearEquivOfIsEmpty.symm let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ := LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm #align orientation.area_form Orientation.areaForm local notation "ω" => o.areaForm theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm] #align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm @[simp] theorem areaForm_apply_self (x : E) : ω x x = 0 := by rw [areaForm_to_volumeForm] refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1) · simp · norm_num #align orientation.area_form_apply_self Orientation.areaForm_apply_self theorem areaForm_swap (x y : E) : ω x y = -ω y x := by simp only [areaForm_to_volumeForm] convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1) · ext i fin_cases i <;> rfl · norm_num #align orientation.area_form_swap Orientation.areaForm_swap @[simp] theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by ext x y simp [areaForm_to_volumeForm] #align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation def areaForm' : E →L[ℝ] E →L[ℝ] ℝ := LinearMap.toContinuousLinearMap (↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm) #align orientation.area_form' Orientation.areaForm' @[simp] theorem areaForm'_apply (x : E) : o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) := rfl #align orientation.area_form'_apply Orientation.areaForm'_apply theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y] #align orientation.abs_area_form_le Orientation.abs_areaForm_le theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y] #align orientation.area_form_le Orientation.areaForm_le theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal] · simp [Fin.prod_univ_succ] intro i j hij fin_cases i <;> fin_cases j · simp_all · simpa using h · simpa [real_inner_comm] using h · simp_all #align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] [hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) : (Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y = o.areaForm (φ.symm x) (φ.symm y) := by have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by ext i fin_cases i <;> rfl simp [areaForm_to_volumeForm, volumeForm_map, this] #align orientation.area_form_map Orientation.areaForm_map theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E) (hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) : o.areaForm (φ x) (φ y) = o.areaForm x y := by convert o.areaForm_map φ (φ x) (φ y) · symm rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin] · simp · simp #align orientation.area_form_comp_linear_isometry_equiv Orientation.areaForm_comp_linearIsometryEquiv irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E := let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ := (InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm ↑to_dual.symm ∘ₗ ω #align orientation.right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁ @[simp] theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by -- Porting note: split `simp only` for greater proof control simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply, LinearIsometryEquiv.coe_toLinearEquiv] rw [InnerProductSpace.toDual_symm_apply] norm_cast #align orientation.inner_right_angle_rotation_aux₁_left Orientation.inner_rightAngleRotationAux₁_left @[simp] theorem inner_rightAngleRotationAux₁_right (x y : E) : ⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by rw [real_inner_comm] simp [o.areaForm_swap y x] #align orientation.inner_right_angle_rotation_aux₁_right Orientation.inner_rightAngleRotationAux₁_right def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E := { o.rightAngleRotationAux₁ with norm_map' := fun x => by dsimp refine le_antisymm ?_ ?_ · cases' eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h h · rw [← h] positivity refine le_of_mul_le_mul_right ?_ h rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left] exact o.areaForm_le x (o.rightAngleRotationAux₁ x) · let K : Submodule ℝ E := ℝ ∙ x have : Nontrivial Kᗮ := by apply @FiniteDimensional.nontrivial_of_finrank_pos ℝ have : finrank ℝ K ≤ Finset.card {x} := by rw [← Set.toFinset_singleton] exact finrank_span_le_card ({x} : Set E) have : Finset.card {x} = 1 := Finset.card_singleton x have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal have : finrank ℝ E = 2 := Fact.out linarith obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0 have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2 have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h) refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖) rw [← o.abs_areaForm_of_orthogonal hw'] rw [← o.inner_rightAngleRotationAux₁_left x w] exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w } #align orientation.right_angle_rotation_aux₂ Orientation.rightAngleRotationAux₂ @[simp] theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) : o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by apply ext_inner_left ℝ intro y have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ := LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this, inner_neg_right] #align orientation.right_angle_rotation_aux₁_right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁_rightAngleRotationAux₁ irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E := LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁) (by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂]) #align orientation.right_angle_rotation Orientation.rightAngleRotation local notation "J" => o.rightAngleRotation @[simp] theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by rw [rightAngleRotation] exact o.inner_rightAngleRotationAux₁_left x y #align orientation.inner_right_angle_rotation_left Orientation.inner_rightAngleRotation_left @[simp] theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by rw [rightAngleRotation] exact o.inner_rightAngleRotationAux₁_right x y #align orientation.inner_right_angle_rotation_right Orientation.inner_rightAngleRotation_right @[simp] theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by rw [rightAngleRotation] exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x #align orientation.right_angle_rotation_right_angle_rotation Orientation.rightAngleRotation_rightAngleRotation @[simp] theorem rightAngleRotation_symm : LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by rw [rightAngleRotation] exact LinearIsometryEquiv.toLinearIsometry_injective rfl #align orientation.right_angle_rotation_symm Orientation.rightAngleRotation_symm -- @[simp] -- Porting note (#10618): simp already proves this theorem inner_rightAngleRotation_self (x : E) : ⟪J x, x⟫ = 0 := by simp #align orientation.inner_right_angle_rotation_self Orientation.inner_rightAngleRotation_self theorem inner_rightAngleRotation_swap (x y : E) : ⟪x, J y⟫ = -⟪J x, y⟫ := by simp #align orientation.inner_right_angle_rotation_swap Orientation.inner_rightAngleRotation_swap theorem inner_rightAngleRotation_swap' (x y : E) : ⟪J x, y⟫ = -⟪x, J y⟫ := by simp [o.inner_rightAngleRotation_swap x y] #align orientation.inner_right_angle_rotation_swap' Orientation.inner_rightAngleRotation_swap' theorem inner_comp_rightAngleRotation (x y : E) : ⟪J x, J y⟫ = ⟪x, y⟫ := LinearIsometryEquiv.inner_map_map J x y #align orientation.inner_comp_right_angle_rotation Orientation.inner_comp_rightAngleRotation @[simp] theorem areaForm_rightAngleRotation_left (x y : E) : ω (J x) y = -⟪x, y⟫ := by rw [← o.inner_comp_rightAngleRotation, o.inner_rightAngleRotation_right, neg_neg] #align orientation.area_form_right_angle_rotation_left Orientation.areaForm_rightAngleRotation_left @[simp] theorem areaForm_rightAngleRotation_right (x y : E) : ω x (J y) = ⟪x, y⟫ := by rw [← o.inner_rightAngleRotation_left, o.inner_comp_rightAngleRotation] #align orientation.area_form_right_angle_rotation_right Orientation.areaForm_rightAngleRotation_right -- @[simp] -- Porting note (#10618): simp already proves this theorem areaForm_comp_rightAngleRotation (x y : E) : ω (J x) (J y) = ω x y := by simp #align orientation.area_form_comp_right_angle_rotation Orientation.areaForm_comp_rightAngleRotation @[simp] theorem rightAngleRotation_trans_rightAngleRotation : LinearIsometryEquiv.trans J J = LinearIsometryEquiv.neg ℝ := by ext; simp #align orientation.right_angle_rotation_trans_right_angle_rotation Orientation.rightAngleRotation_trans_rightAngleRotation theorem rightAngleRotation_neg_orientation (x : E) : (-o).rightAngleRotation x = -o.rightAngleRotation x := by apply ext_inner_right ℝ intro y rw [inner_rightAngleRotation_left] simp #align orientation.right_angle_rotation_neg_orientation Orientation.rightAngleRotation_neg_orientation @[simp] theorem rightAngleRotation_trans_neg_orientation : (-o).rightAngleRotation = o.rightAngleRotation.trans (LinearIsometryEquiv.neg ℝ) := LinearIsometryEquiv.ext <| o.rightAngleRotation_neg_orientation #align orientation.right_angle_rotation_trans_neg_orientation Orientation.rightAngleRotation_trans_neg_orientation
Mathlib/Analysis/InnerProductSpace/TwoDim.lean
334
345
theorem rightAngleRotation_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F] [hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x : F) : (Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation x = φ (o.rightAngleRotation (φ.symm x)) := by
apply ext_inner_right ℝ intro y rw [inner_rightAngleRotation_left] trans ⟪J (φ.symm x), φ.symm y⟫ · simp [o.areaForm_map] trans ⟪φ (J (φ.symm x)), φ (φ.symm y)⟫ · rw [φ.inner_map_map] · simp
import Mathlib.Algebra.Associated import Mathlib.Algebra.BigOperators.Finsupp #align_import algebra.big_operators.associated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {α β γ δ : Type*} -- the same local notation used in `Algebra.Associated` local infixl:50 " ~ᵤ " => Associated theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} : x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 := ⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩, ⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩, fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ => ⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩ theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M) (g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by induction s using Finset.induction with | empty => simp only [Finset.prod_empty] rfl | @insert j s hjs IH => classical convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i) rw [Finset.prod_insert hjs, Finset.prod_insert hjs] exact Associated.mul_mul (h j (Finset.mem_insert_self j s)) (IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi))) theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p) {s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q := Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by rw [Multiset.prod_cons] at hps cases' hp.dvd_or_dvd hps with h h · have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl)) exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩ · rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩ exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩ #align exists_associated_mem_of_dvd_prod exists_associated_mem_of_dvd_prod theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α] [∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by induction' s using Multiset.induction_on with a s induct n primes divs generalizing n · simp only [Multiset.prod_zero, one_dvd] · rw [Multiset.prod_cons] obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s) apply mul_dvd_mul_left a refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_) fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a) have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s) have a_prime := h a (Multiset.mem_cons_self a s) have b_prime := h b (Multiset.mem_cons_of_mem b_in_s) refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_ have assoc := b_prime.associated_of_dvd a_prime b_div_a have := uniq a rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt, Multiset.countP_pos] at this exact this ⟨b, b_in_s, assoc.symm⟩ #align multiset.prod_primes_dvd Multiset.prod_primes_dvd
Mathlib/Algebra/BigOperators/Associated.lean
103
111
theorem Finset.prod_primes_dvd [CancelCommMonoidWithZero α] [Unique αˣ] {s : Finset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) : (∏ p ∈ s, p) ∣ n := by
classical exact Multiset.prod_primes_dvd n (by simpa only [Multiset.map_id', Finset.mem_def] using h) (by simpa only [Multiset.map_id', Finset.mem_def] using div) (by simp only [Multiset.map_id', associated_eq_eq, Multiset.countP_eq_card_filter, ← s.val.count_eq_card_filter_eq, ← Multiset.nodup_iff_count_le_one, s.nodup])
import Mathlib.GroupTheory.Solvable import Mathlib.FieldTheory.PolynomialGaloisGroup import Mathlib.RingTheory.RootsOfUnity.Basic #align_import field_theory.abel_ruffini from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" noncomputable section open scoped Classical Polynomial IntermediateField open Polynomial IntermediateField section AbelRuffini variable {F : Type*} [Field F] {E : Type*} [Field E] [Algebra F E] theorem gal_zero_isSolvable : IsSolvable (0 : F[X]).Gal := by infer_instance #align gal_zero_is_solvable gal_zero_isSolvable theorem gal_one_isSolvable : IsSolvable (1 : F[X]).Gal := by infer_instance #align gal_one_is_solvable gal_one_isSolvable theorem gal_C_isSolvable (x : F) : IsSolvable (C x).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_C_is_solvable gal_C_isSolvable theorem gal_X_isSolvable : IsSolvable (X : F[X]).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_is_solvable gal_X_isSolvable theorem gal_X_sub_C_isSolvable (x : F) : IsSolvable (X - C x).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_sub_C_is_solvable gal_X_sub_C_isSolvable theorem gal_X_pow_isSolvable (n : ℕ) : IsSolvable (X ^ n : F[X]).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_pow_is_solvable gal_X_pow_isSolvable theorem gal_mul_isSolvable {p q : F[X]} (_ : IsSolvable p.Gal) (_ : IsSolvable q.Gal) : IsSolvable (p * q).Gal := solvable_of_solvable_injective (Gal.restrictProd_injective p q) #align gal_mul_is_solvable gal_mul_isSolvable theorem gal_prod_isSolvable {s : Multiset F[X]} (hs : ∀ p ∈ s, IsSolvable (Gal p)) : IsSolvable s.prod.Gal := by apply Multiset.induction_on' s · exact gal_one_isSolvable · intro p t hps _ ht rw [Multiset.insert_eq_cons, Multiset.prod_cons] exact gal_mul_isSolvable (hs p hps) ht #align gal_prod_is_solvable gal_prod_isSolvable theorem gal_isSolvable_of_splits {p q : F[X]} (_ : Fact (p.Splits (algebraMap F q.SplittingField))) (hq : IsSolvable q.Gal) : IsSolvable p.Gal := haveI : IsSolvable (q.SplittingField ≃ₐ[F] q.SplittingField) := hq solvable_of_surjective (AlgEquiv.restrictNormalHom_surjective q.SplittingField) #align gal_is_solvable_of_splits gal_isSolvable_of_splits theorem gal_isSolvable_tower (p q : F[X]) (hpq : p.Splits (algebraMap F q.SplittingField)) (hp : IsSolvable p.Gal) (hq : IsSolvable (q.map (algebraMap F p.SplittingField)).Gal) : IsSolvable q.Gal := by let K := p.SplittingField let L := q.SplittingField haveI : Fact (p.Splits (algebraMap F L)) := ⟨hpq⟩ let ϕ : (L ≃ₐ[K] L) ≃* (q.map (algebraMap F K)).Gal := (IsSplittingField.algEquiv L (q.map (algebraMap F K))).autCongr have ϕ_inj : Function.Injective ϕ.toMonoidHom := ϕ.injective haveI : IsSolvable (K ≃ₐ[F] K) := hp haveI : IsSolvable (L ≃ₐ[K] L) := solvable_of_solvable_injective ϕ_inj exact isSolvable_of_isScalarTower F p.SplittingField q.SplittingField #align gal_is_solvable_tower gal_isSolvable_tower section GalXPowSubC theorem gal_X_pow_sub_one_isSolvable (n : ℕ) : IsSolvable (X ^ n - 1 : F[X]).Gal := by by_cases hn : n = 0 · rw [hn, pow_zero, sub_self] exact gal_zero_isSolvable have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : (X ^ n - 1 : F[X]) ≠ 0 := X_pow_sub_C_ne_zero hn' 1 apply isSolvable_of_comm intro σ τ ext a ha simp only [mem_rootSet_of_ne hn'', map_sub, aeval_X_pow, aeval_one, sub_eq_zero] at ha have key : ∀ σ : (X ^ n - 1 : F[X]).Gal, ∃ m : ℕ, σ a = a ^ m := by intro σ lift n to ℕ+ using hn' exact map_rootsOfUnity_eq_pow_self σ.toAlgHom (rootsOfUnity.mkOfPowEq a ha) obtain ⟨c, hc⟩ := key σ obtain ⟨d, hd⟩ := key τ rw [σ.mul_apply, τ.mul_apply, hc, τ.map_pow, hd, σ.map_pow, hc, ← pow_mul, pow_mul'] set_option linter.uppercaseLean3 false in #align gal_X_pow_sub_one_is_solvable gal_X_pow_sub_one_isSolvable theorem gal_X_pow_sub_C_isSolvable_aux (n : ℕ) (a : F) (h : (X ^ n - 1 : F[X]).Splits (RingHom.id F)) : IsSolvable (X ^ n - C a).Gal := by by_cases ha : a = 0 · rw [ha, C_0, sub_zero] exact gal_X_pow_isSolvable n have ha' : algebraMap F (X ^ n - C a).SplittingField a ≠ 0 := mt ((injective_iff_map_eq_zero _).mp (RingHom.injective _) a) ha by_cases hn : n = 0 · rw [hn, pow_zero, ← C_1, ← C_sub] exact gal_C_isSolvable (1 - a) have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : X ^ n - C a ≠ 0 := X_pow_sub_C_ne_zero hn' a have hn''' : (X ^ n - 1 : F[X]) ≠ 0 := X_pow_sub_C_ne_zero hn' 1 have mem_range : ∀ {c : (X ^ n - C a).SplittingField}, (c ^ n = 1 → (∃ d, algebraMap F (X ^ n - C a).SplittingField d = c)) := fun {c} hc => RingHom.mem_range.mp (minpoly.mem_range_of_degree_eq_one F c (h.def.resolve_left hn''' (minpoly.irreducible ((SplittingField.instNormal (X ^ n - C a)).isIntegral c)) (minpoly.dvd F c (by rwa [map_id, AlgHom.map_sub, sub_eq_zero, aeval_X_pow, aeval_one])))) apply isSolvable_of_comm intro σ τ ext b hb rw [mem_rootSet_of_ne hn'', map_sub, aeval_X_pow, aeval_C, sub_eq_zero] at hb have hb' : b ≠ 0 := by intro hb' rw [hb', zero_pow hn] at hb exact ha' hb.symm have key : ∀ σ : (X ^ n - C a).Gal, ∃ c, σ b = b * algebraMap F _ c := by intro σ have key : (σ b / b) ^ n = 1 := by rw [div_pow, ← σ.map_pow, hb, σ.commutes, div_self ha'] obtain ⟨c, hc⟩ := mem_range key use c rw [hc, mul_div_cancel₀ (σ b) hb'] obtain ⟨c, hc⟩ := key σ obtain ⟨d, hd⟩ := key τ rw [σ.mul_apply, τ.mul_apply, hc, τ.map_mul, τ.commutes, hd, σ.map_mul, σ.commutes, hc, mul_assoc, mul_assoc, mul_right_inj' hb', mul_comm] set_option linter.uppercaseLean3 false in #align gal_X_pow_sub_C_is_solvable_aux gal_X_pow_sub_C_isSolvable_aux
Mathlib/FieldTheory/AbelRuffini.lean
157
194
theorem splits_X_pow_sub_one_of_X_pow_sub_C {F : Type*} [Field F] {E : Type*} [Field E] (i : F →+* E) (n : ℕ) {a : F} (ha : a ≠ 0) (h : (X ^ n - C a).Splits i) : (X ^ n - 1 : F[X]).Splits i := by
have ha' : i a ≠ 0 := mt ((injective_iff_map_eq_zero i).mp i.injective a) ha by_cases hn : n = 0 · rw [hn, pow_zero, sub_self] exact splits_zero i have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : (X ^ n - C a).degree ≠ 0 := ne_of_eq_of_ne (degree_X_pow_sub_C hn' a) (mt WithBot.coe_eq_coe.mp hn) obtain ⟨b, hb⟩ := exists_root_of_splits i h hn'' rw [eval₂_sub, eval₂_X_pow, eval₂_C, sub_eq_zero] at hb have hb' : b ≠ 0 := by intro hb' rw [hb', zero_pow hn] at hb exact ha' hb.symm let s := ((X ^ n - C a).map i).roots have hs : _ = _ * (s.map _).prod := eq_prod_roots_of_splits h rw [leadingCoeff_X_pow_sub_C hn', RingHom.map_one, C_1, one_mul] at hs have hs' : Multiset.card s = n := (natDegree_eq_card_roots h).symm.trans natDegree_X_pow_sub_C apply @splits_of_exists_multiset F E _ _ i (X ^ n - 1) (s.map fun c : E => c / b) rw [leadingCoeff_X_pow_sub_one hn', RingHom.map_one, C_1, one_mul, Multiset.map_map] have C_mul_C : C (i a⁻¹) * C (i a) = 1 := by rw [← C_mul, ← i.map_mul, inv_mul_cancel ha, i.map_one, C_1] have key1 : (X ^ n - 1 : F[X]).map i = C (i a⁻¹) * ((X ^ n - C a).map i).comp (C b * X) := by rw [Polynomial.map_sub, Polynomial.map_sub, Polynomial.map_pow, map_X, map_C, Polynomial.map_one, sub_comp, pow_comp, X_comp, C_comp, mul_pow, ← C_pow, hb, mul_sub, ← mul_assoc, C_mul_C, one_mul] have key2 : ((fun q : E[X] => q.comp (C b * X)) ∘ fun c : E => X - C c) = fun c : E => C b * (X - C (c / b)) := by ext1 c dsimp only [Function.comp_apply] rw [sub_comp, X_comp, C_comp, mul_sub, ← C_mul, mul_div_cancel₀ c hb'] rw [key1, hs, multiset_prod_comp, Multiset.map_map, key2, Multiset.prod_map_mul, -- Porting note: needed for `Multiset.map_const` to work show (fun (_ : E) => C b) = Function.const E (C b) by rfl, Multiset.map_const, Multiset.prod_replicate, hs', ← C_pow, hb, ← mul_assoc, C_mul_C, one_mul] rfl
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.MeasureTheory.Constructions.Polish import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn #align_import measure_theory.function.jacobian from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5" open MeasureTheory MeasureTheory.Measure Metric Filter Set FiniteDimensional Asymptotics TopologicalSpace open scoped NNReal ENNReal Topology Pointwise variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {s : Set E} {f : E → E} {f' : E → E →L[ℝ] E} theorem exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F] (f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) : ∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F), (∀ n, IsClosed (t n)) ∧ (s ⊆ ⋃ n, t n) ∧ (∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧ (s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by -- exclude the trivial case where `s` is empty rcases eq_empty_or_nonempty s with (rfl | hs) · refine ⟨fun _ => ∅, fun _ => 0, ?_, ?_, ?_, ?_⟩ <;> simp -- we will use countably many linear maps. Select these from all the derivatives since the -- space of linear maps is second-countable obtain ⟨T, T_count, hT⟩ : ∃ T : Set s, T.Countable ∧ ⋃ x ∈ T, ball (f' (x : E)) (r (f' x)) = ⋃ x : s, ball (f' x) (r (f' x)) := TopologicalSpace.isOpen_iUnion_countable _ fun x => isOpen_ball -- fix a sequence `u` of positive reals tending to zero. obtain ⟨u, _, u_pos, u_lim⟩ : ∃ u : ℕ → ℝ, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) := exists_seq_strictAnti_tendsto (0 : ℝ) -- `M n z` is the set of points `x` such that `f y - f x` is close to `f' z (y - x)` for `y` -- in the ball of radius `u n` around `x`. let M : ℕ → T → Set E := fun n z => {x | x ∈ s ∧ ∀ y ∈ s ∩ ball x (u n), ‖f y - f x - f' z (y - x)‖ ≤ r (f' z) * ‖y - x‖} -- As `f` is differentiable everywhere on `s`, the sets `M n z` cover `s` by design. have s_subset : ∀ x ∈ s, ∃ (n : ℕ) (z : T), x ∈ M n z := by intro x xs obtain ⟨z, zT, hz⟩ : ∃ z ∈ T, f' x ∈ ball (f' (z : E)) (r (f' z)) := by have : f' x ∈ ⋃ z ∈ T, ball (f' (z : E)) (r (f' z)) := by rw [hT] refine mem_iUnion.2 ⟨⟨x, xs⟩, ?_⟩ simpa only [mem_ball, Subtype.coe_mk, dist_self] using (rpos (f' x)).bot_lt rwa [mem_iUnion₂, bex_def] at this obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ ‖f' x - f' z‖ + ε ≤ r (f' z) := by refine ⟨r (f' z) - ‖f' x - f' z‖, ?_, le_of_eq (by abel)⟩ simpa only [sub_pos] using mem_ball_iff_norm.mp hz obtain ⟨δ, δpos, hδ⟩ : ∃ (δ : ℝ), 0 < δ ∧ ball x δ ∩ s ⊆ {y | ‖f y - f x - (f' x) (y - x)‖ ≤ ε * ‖y - x‖} := Metric.mem_nhdsWithin_iff.1 ((hf' x xs).isLittleO.def εpos) obtain ⟨n, hn⟩ : ∃ n, u n < δ := ((tendsto_order.1 u_lim).2 _ δpos).exists refine ⟨n, ⟨z, zT⟩, ⟨xs, ?_⟩⟩ intro y hy calc ‖f y - f x - (f' z) (y - x)‖ = ‖f y - f x - (f' x) (y - x) + (f' x - f' z) (y - x)‖ := by congr 1 simp only [ContinuousLinearMap.coe_sub', map_sub, Pi.sub_apply] abel _ ≤ ‖f y - f x - (f' x) (y - x)‖ + ‖(f' x - f' z) (y - x)‖ := norm_add_le _ _ _ ≤ ε * ‖y - x‖ + ‖f' x - f' z‖ * ‖y - x‖ := by refine add_le_add (hδ ?_) (ContinuousLinearMap.le_opNorm _ _) rw [inter_comm] exact inter_subset_inter_right _ (ball_subset_ball hn.le) hy _ ≤ r (f' z) * ‖y - x‖ := by rw [← add_mul, add_comm] gcongr -- the sets `M n z` are relatively closed in `s`, as all the conditions defining it are clearly -- closed have closure_M_subset : ∀ n z, s ∩ closure (M n z) ⊆ M n z := by rintro n z x ⟨xs, hx⟩ refine ⟨xs, fun y hy => ?_⟩ obtain ⟨a, aM, a_lim⟩ : ∃ a : ℕ → E, (∀ k, a k ∈ M n z) ∧ Tendsto a atTop (𝓝 x) := mem_closure_iff_seq_limit.1 hx have L1 : Tendsto (fun k : ℕ => ‖f y - f (a k) - (f' z) (y - a k)‖) atTop (𝓝 ‖f y - f x - (f' z) (y - x)‖) := by apply Tendsto.norm have L : Tendsto (fun k => f (a k)) atTop (𝓝 (f x)) := by apply (hf' x xs).continuousWithinAt.tendsto.comp apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ a_lim exact eventually_of_forall fun k => (aM k).1 apply Tendsto.sub (tendsto_const_nhds.sub L) exact ((f' z).continuous.tendsto _).comp (tendsto_const_nhds.sub a_lim) have L2 : Tendsto (fun k : ℕ => (r (f' z) : ℝ) * ‖y - a k‖) atTop (𝓝 (r (f' z) * ‖y - x‖)) := (tendsto_const_nhds.sub a_lim).norm.const_mul _ have I : ∀ᶠ k in atTop, ‖f y - f (a k) - (f' z) (y - a k)‖ ≤ r (f' z) * ‖y - a k‖ := by have L : Tendsto (fun k => dist y (a k)) atTop (𝓝 (dist y x)) := tendsto_const_nhds.dist a_lim filter_upwards [(tendsto_order.1 L).2 _ hy.2] intro k hk exact (aM k).2 y ⟨hy.1, hk⟩ exact le_of_tendsto_of_tendsto L1 L2 I -- choose a dense sequence `d p` rcases TopologicalSpace.exists_dense_seq E with ⟨d, hd⟩ -- split `M n z` into subsets `K n z p` of small diameters by intersecting with the ball -- `closedBall (d p) (u n / 3)`. let K : ℕ → T → ℕ → Set E := fun n z p => closure (M n z) ∩ closedBall (d p) (u n / 3) -- on the sets `K n z p`, the map `f` is well approximated by `f' z` by design. have K_approx : ∀ (n) (z : T) (p), ApproximatesLinearOn f (f' z) (s ∩ K n z p) (r (f' z)) := by intro n z p x hx y hy have yM : y ∈ M n z := closure_M_subset _ _ ⟨hy.1, hy.2.1⟩ refine yM.2 _ ⟨hx.1, ?_⟩ calc dist x y ≤ dist x (d p) + dist y (d p) := dist_triangle_right _ _ _ _ ≤ u n / 3 + u n / 3 := add_le_add hx.2.2 hy.2.2 _ < u n := by linarith [u_pos n] -- the sets `K n z p` are also closed, again by design. have K_closed : ∀ (n) (z : T) (p), IsClosed (K n z p) := fun n z p => isClosed_closure.inter isClosed_ball -- reindex the sets `K n z p`, to let them only depend on an integer parameter `q`. obtain ⟨F, hF⟩ : ∃ F : ℕ → ℕ × T × ℕ, Function.Surjective F := by haveI : Encodable T := T_count.toEncodable have : Nonempty T := by rcases hs with ⟨x, xs⟩ rcases s_subset x xs with ⟨n, z, _⟩ exact ⟨z⟩ inhabit ↥T exact ⟨_, Encodable.surjective_decode_iget (ℕ × T × ℕ)⟩ -- these sets `t q = K n z p` will do refine ⟨fun q => K (F q).1 (F q).2.1 (F q).2.2, fun q => f' (F q).2.1, fun n => K_closed _ _ _, fun x xs => ?_, fun q => K_approx _ _ _, fun _ q => ⟨(F q).2.1, (F q).2.1.1.2, rfl⟩⟩ -- the only fact that needs further checking is that they cover `s`. -- we already know that any point `x ∈ s` belongs to a set `M n z`. obtain ⟨n, z, hnz⟩ : ∃ (n : ℕ) (z : T), x ∈ M n z := s_subset x xs -- by density, it also belongs to a ball `closedBall (d p) (u n / 3)`. obtain ⟨p, hp⟩ : ∃ p : ℕ, x ∈ closedBall (d p) (u n / 3) := by have : Set.Nonempty (ball x (u n / 3)) := by simp only [nonempty_ball]; linarith [u_pos n] obtain ⟨p, hp⟩ : ∃ p : ℕ, d p ∈ ball x (u n / 3) := hd.exists_mem_open isOpen_ball this exact ⟨p, (mem_ball'.1 hp).le⟩ -- choose `q` for which `t q = K n z p`. obtain ⟨q, hq⟩ : ∃ q, F q = (n, z, p) := hF _ -- then `x` belongs to `t q`. apply mem_iUnion.2 ⟨q, _⟩ simp (config := { zeta := false }) only [K, hq, mem_inter_iff, hp, and_true] exact subset_closure hnz #align exists_closed_cover_approximates_linear_on_of_has_fderiv_within_at exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt variable [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] theorem exists_partition_approximatesLinearOn_of_hasFDerivWithinAt [SecondCountableTopology F] (f : E → F) (s : Set E) (f' : E → E →L[ℝ] F) (hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x) (r : (E →L[ℝ] F) → ℝ≥0) (rpos : ∀ A, r A ≠ 0) : ∃ (t : ℕ → Set E) (A : ℕ → E →L[ℝ] F), Pairwise (Disjoint on t) ∧ (∀ n, MeasurableSet (t n)) ∧ (s ⊆ ⋃ n, t n) ∧ (∀ n, ApproximatesLinearOn f (A n) (s ∩ t n) (r (A n))) ∧ (s.Nonempty → ∀ n, ∃ y ∈ s, A n = f' y) := by rcases exists_closed_cover_approximatesLinearOn_of_hasFDerivWithinAt f s f' hf' r rpos with ⟨t, A, t_closed, st, t_approx, ht⟩ refine ⟨disjointed t, A, disjoint_disjointed _, MeasurableSet.disjointed fun n => (t_closed n).measurableSet, ?_, ?_, ht⟩ · rw [iUnion_disjointed]; exact st · intro n; exact (t_approx n).mono_set (inter_subset_inter_right _ (disjointed_subset _ _)) #align exists_partition_approximates_linear_on_of_has_fderiv_within_at exists_partition_approximatesLinearOn_of_hasFDerivWithinAt namespace MeasureTheory
Mathlib/MeasureTheory/Function/Jacobian.lean
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theorem addHaar_image_le_mul_of_det_lt (A : E →L[ℝ] E) {m : ℝ≥0} (hm : ENNReal.ofReal |A.det| < m) : ∀ᶠ δ in 𝓝[>] (0 : ℝ≥0), ∀ (s : Set E) (f : E → E), ApproximatesLinearOn f A s δ → μ (f '' s) ≤ m * μ s := by
apply nhdsWithin_le_nhds let d := ENNReal.ofReal |A.det| -- construct a small neighborhood of `A '' (closedBall 0 1)` with measure comparable to -- the determinant of `A`. obtain ⟨ε, hε, εpos⟩ : ∃ ε : ℝ, μ (closedBall 0 ε + A '' closedBall 0 1) < m * μ (closedBall 0 1) ∧ 0 < ε := by have HC : IsCompact (A '' closedBall 0 1) := (ProperSpace.isCompact_closedBall _ _).image A.continuous have L0 : Tendsto (fun ε => μ (cthickening ε (A '' closedBall 0 1))) (𝓝[>] 0) (𝓝 (μ (A '' closedBall 0 1))) := by apply Tendsto.mono_left _ nhdsWithin_le_nhds exact tendsto_measure_cthickening_of_isCompact HC have L1 : Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0) (𝓝 (μ (A '' closedBall 0 1))) := by apply L0.congr' _ filter_upwards [self_mem_nhdsWithin] with r hr rw [← HC.add_closedBall_zero (le_of_lt hr), add_comm] have L2 : Tendsto (fun ε => μ (closedBall 0 ε + A '' closedBall 0 1)) (𝓝[>] 0) (𝓝 (d * μ (closedBall 0 1))) := by convert L1 exact (addHaar_image_continuousLinearMap _ _ _).symm have I : d * μ (closedBall 0 1) < m * μ (closedBall 0 1) := (ENNReal.mul_lt_mul_right (measure_closedBall_pos μ _ zero_lt_one).ne' measure_closedBall_lt_top.ne).2 hm have H : ∀ᶠ b : ℝ in 𝓝[>] 0, μ (closedBall 0 b + A '' closedBall 0 1) < m * μ (closedBall 0 1) := (tendsto_order.1 L2).2 _ I exact (H.and self_mem_nhdsWithin).exists have : Iio (⟨ε, εpos.le⟩ : ℝ≥0) ∈ 𝓝 (0 : ℝ≥0) := by apply Iio_mem_nhds; exact εpos filter_upwards [this] -- fix a function `f` which is close enough to `A`. intro δ hδ s f hf simp only [mem_Iio, ← NNReal.coe_lt_coe, NNReal.coe_mk] at hδ -- This function expands the volume of any ball by at most `m` have I : ∀ x r, x ∈ s → 0 ≤ r → μ (f '' (s ∩ closedBall x r)) ≤ m * μ (closedBall x r) := by intro x r xs r0 have K : f '' (s ∩ closedBall x r) ⊆ A '' closedBall 0 r + closedBall (f x) (ε * r) := by rintro y ⟨z, ⟨zs, zr⟩, rfl⟩ rw [mem_closedBall_iff_norm] at zr apply Set.mem_add.2 ⟨A (z - x), _, f z - f x - A (z - x) + f x, _, _⟩ · apply mem_image_of_mem simpa only [dist_eq_norm, mem_closedBall, mem_closedBall_zero_iff, sub_zero] using zr · rw [mem_closedBall_iff_norm, add_sub_cancel_right] calc ‖f z - f x - A (z - x)‖ ≤ δ * ‖z - x‖ := hf _ zs _ xs _ ≤ ε * r := by gcongr · simp only [map_sub, Pi.sub_apply] abel have : A '' closedBall 0 r + closedBall (f x) (ε * r) = {f x} + r • (A '' closedBall 0 1 + closedBall 0 ε) := by rw [smul_add, ← add_assoc, add_comm {f x}, add_assoc, smul_closedBall _ _ εpos.le, smul_zero, singleton_add_closedBall_zero, ← image_smul_set ℝ E E A, smul_closedBall _ _ zero_le_one, smul_zero, Real.norm_eq_abs, abs_of_nonneg r0, mul_one, mul_comm] rw [this] at K calc μ (f '' (s ∩ closedBall x r)) ≤ μ ({f x} + r • (A '' closedBall 0 1 + closedBall 0 ε)) := measure_mono K _ = ENNReal.ofReal (r ^ finrank ℝ E) * μ (A '' closedBall 0 1 + closedBall 0 ε) := by simp only [abs_of_nonneg r0, addHaar_smul, image_add_left, abs_pow, singleton_add, measure_preimage_add] _ ≤ ENNReal.ofReal (r ^ finrank ℝ E) * (m * μ (closedBall 0 1)) := by rw [add_comm]; gcongr _ = m * μ (closedBall x r) := by simp only [addHaar_closedBall' μ _ r0]; ring -- covering `s` by closed balls with total measure very close to `μ s`, one deduces that the -- measure of `f '' s` is at most `m * (μ s + a)` for any positive `a`. have J : ∀ᶠ a in 𝓝[>] (0 : ℝ≥0∞), μ (f '' s) ≤ m * (μ s + a) := by filter_upwards [self_mem_nhdsWithin] with a ha rw [mem_Ioi] at ha obtain ⟨t, r, t_count, ts, rpos, st, μt⟩ : ∃ (t : Set E) (r : E → ℝ), t.Countable ∧ t ⊆ s ∧ (∀ x : E, x ∈ t → 0 < r x) ∧ (s ⊆ ⋃ x ∈ t, closedBall x (r x)) ∧ (∑' x : ↥t, μ (closedBall (↑x) (r ↑x))) ≤ μ s + a := Besicovitch.exists_closedBall_covering_tsum_measure_le μ ha.ne' (fun _ => Ioi 0) s fun x _ δ δpos => ⟨δ / 2, by simp [half_pos δpos, δpos]⟩ haveI : Encodable t := t_count.toEncodable calc μ (f '' s) ≤ μ (⋃ x : t, f '' (s ∩ closedBall x (r x))) := by rw [biUnion_eq_iUnion] at st apply measure_mono rw [← image_iUnion, ← inter_iUnion] exact image_subset _ (subset_inter (Subset.refl _) st) _ ≤ ∑' x : t, μ (f '' (s ∩ closedBall x (r x))) := measure_iUnion_le _ _ ≤ ∑' x : t, m * μ (closedBall x (r x)) := (ENNReal.tsum_le_tsum fun x => I x (r x) (ts x.2) (rpos x x.2).le) _ ≤ m * (μ s + a) := by rw [ENNReal.tsum_mul_left]; gcongr -- taking the limit in `a`, one obtains the conclusion have L : Tendsto (fun a => (m : ℝ≥0∞) * (μ s + a)) (𝓝[>] 0) (𝓝 (m * (μ s + 0))) := by apply Tendsto.mono_left _ nhdsWithin_le_nhds apply ENNReal.Tendsto.const_mul (tendsto_const_nhds.add tendsto_id) simp only [ENNReal.coe_ne_top, Ne, or_true_iff, not_false_iff] rw [add_zero] at L exact ge_of_tendsto L J
import Mathlib.Data.Real.Sqrt import Mathlib.Analysis.NormedSpace.Star.Basic import Mathlib.Analysis.NormedSpace.ContinuousLinearMap import Mathlib.Analysis.NormedSpace.Basic #align_import data.is_R_or_C.basic from "leanprover-community/mathlib"@"baa88307f3e699fa7054ef04ec79fa4f056169cb" section local notation "𝓚" => algebraMap ℝ _ open ComplexConjugate class RCLike (K : semiOutParam Type*) extends DenselyNormedField K, StarRing K, NormedAlgebra ℝ K, CompleteSpace K where re : K →+ ℝ im : K →+ ℝ I : K I_re_ax : re I = 0 I_mul_I_ax : I = 0 ∨ I * I = -1 re_add_im_ax : ∀ z : K, 𝓚 (re z) + 𝓚 (im z) * I = z ofReal_re_ax : ∀ r : ℝ, re (𝓚 r) = r ofReal_im_ax : ∀ r : ℝ, im (𝓚 r) = 0 mul_re_ax : ∀ z w : K, re (z * w) = re z * re w - im z * im w mul_im_ax : ∀ z w : K, im (z * w) = re z * im w + im z * re w conj_re_ax : ∀ z : K, re (conj z) = re z conj_im_ax : ∀ z : K, im (conj z) = -im z conj_I_ax : conj I = -I norm_sq_eq_def_ax : ∀ z : K, ‖z‖ ^ 2 = re z * re z + im z * im z mul_im_I_ax : ∀ z : K, im z * im I = im z [toPartialOrder : PartialOrder K] le_iff_re_im {z w : K} : z ≤ w ↔ re z ≤ re w ∧ im z = im w -- note we cannot put this in the `extends` clause [toDecidableEq : DecidableEq K] #align is_R_or_C RCLike scoped[ComplexOrder] attribute [instance 100] RCLike.toPartialOrder attribute [instance 100] RCLike.toDecidableEq end variable {K E : Type*} [RCLike K] namespace RCLike open ComplexConjugate @[coe] abbrev ofReal : ℝ → K := Algebra.cast noncomputable instance (priority := 900) algebraMapCoe : CoeTC ℝ K := ⟨ofReal⟩ #align is_R_or_C.algebra_map_coe RCLike.algebraMapCoe theorem ofReal_alg (x : ℝ) : (x : K) = x • (1 : K) := Algebra.algebraMap_eq_smul_one x #align is_R_or_C.of_real_alg RCLike.ofReal_alg theorem real_smul_eq_coe_mul (r : ℝ) (z : K) : r • z = (r : K) * z := Algebra.smul_def r z #align is_R_or_C.real_smul_eq_coe_mul RCLike.real_smul_eq_coe_mul theorem real_smul_eq_coe_smul [AddCommGroup E] [Module K E] [Module ℝ E] [IsScalarTower ℝ K E] (r : ℝ) (x : E) : r • x = (r : K) • x := by rw [RCLike.ofReal_alg, smul_one_smul] #align is_R_or_C.real_smul_eq_coe_smul RCLike.real_smul_eq_coe_smul theorem algebraMap_eq_ofReal : ⇑(algebraMap ℝ K) = ofReal := rfl #align is_R_or_C.algebra_map_eq_of_real RCLike.algebraMap_eq_ofReal @[simp, rclike_simps] theorem re_add_im (z : K) : (re z : K) + im z * I = z := RCLike.re_add_im_ax z #align is_R_or_C.re_add_im RCLike.re_add_im @[simp, norm_cast, rclike_simps] theorem ofReal_re : ∀ r : ℝ, re (r : K) = r := RCLike.ofReal_re_ax #align is_R_or_C.of_real_re RCLike.ofReal_re @[simp, norm_cast, rclike_simps] theorem ofReal_im : ∀ r : ℝ, im (r : K) = 0 := RCLike.ofReal_im_ax #align is_R_or_C.of_real_im RCLike.ofReal_im @[simp, rclike_simps] theorem mul_re : ∀ z w : K, re (z * w) = re z * re w - im z * im w := RCLike.mul_re_ax #align is_R_or_C.mul_re RCLike.mul_re @[simp, rclike_simps] theorem mul_im : ∀ z w : K, im (z * w) = re z * im w + im z * re w := RCLike.mul_im_ax #align is_R_or_C.mul_im RCLike.mul_im theorem ext_iff {z w : K} : z = w ↔ re z = re w ∧ im z = im w := ⟨fun h => h ▸ ⟨rfl, rfl⟩, fun ⟨h₁, h₂⟩ => re_add_im z ▸ re_add_im w ▸ h₁ ▸ h₂ ▸ rfl⟩ #align is_R_or_C.ext_iff RCLike.ext_iff theorem ext {z w : K} (hre : re z = re w) (him : im z = im w) : z = w := ext_iff.2 ⟨hre, him⟩ #align is_R_or_C.ext RCLike.ext @[norm_cast] theorem ofReal_zero : ((0 : ℝ) : K) = 0 := algebraMap.coe_zero #align is_R_or_C.of_real_zero RCLike.ofReal_zero @[rclike_simps] theorem zero_re' : re (0 : K) = (0 : ℝ) := map_zero re #align is_R_or_C.zero_re' RCLike.zero_re' @[norm_cast] theorem ofReal_one : ((1 : ℝ) : K) = 1 := map_one (algebraMap ℝ K) #align is_R_or_C.of_real_one RCLike.ofReal_one @[simp, rclike_simps] theorem one_re : re (1 : K) = 1 := by rw [← ofReal_one, ofReal_re] #align is_R_or_C.one_re RCLike.one_re @[simp, rclike_simps] theorem one_im : im (1 : K) = 0 := by rw [← ofReal_one, ofReal_im] #align is_R_or_C.one_im RCLike.one_im theorem ofReal_injective : Function.Injective ((↑) : ℝ → K) := (algebraMap ℝ K).injective #align is_R_or_C.of_real_injective RCLike.ofReal_injective @[norm_cast] theorem ofReal_inj {z w : ℝ} : (z : K) = (w : K) ↔ z = w := algebraMap.coe_inj #align is_R_or_C.of_real_inj RCLike.ofReal_inj -- replaced by `RCLike.ofNat_re` #noalign is_R_or_C.bit0_re #noalign is_R_or_C.bit1_re -- replaced by `RCLike.ofNat_im` #noalign is_R_or_C.bit0_im #noalign is_R_or_C.bit1_im theorem ofReal_eq_zero {x : ℝ} : (x : K) = 0 ↔ x = 0 := algebraMap.lift_map_eq_zero_iff x #align is_R_or_C.of_real_eq_zero RCLike.ofReal_eq_zero theorem ofReal_ne_zero {x : ℝ} : (x : K) ≠ 0 ↔ x ≠ 0 := ofReal_eq_zero.not #align is_R_or_C.of_real_ne_zero RCLike.ofReal_ne_zero @[simp, rclike_simps, norm_cast] theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : K) = r + s := algebraMap.coe_add _ _ #align is_R_or_C.of_real_add RCLike.ofReal_add -- replaced by `RCLike.ofReal_ofNat` #noalign is_R_or_C.of_real_bit0 #noalign is_R_or_C.of_real_bit1 @[simp, norm_cast, rclike_simps] theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : K) = -r := algebraMap.coe_neg r #align is_R_or_C.of_real_neg RCLike.ofReal_neg @[simp, norm_cast, rclike_simps] theorem ofReal_sub (r s : ℝ) : ((r - s : ℝ) : K) = r - s := map_sub (algebraMap ℝ K) r s #align is_R_or_C.of_real_sub RCLike.ofReal_sub @[simp, rclike_simps, norm_cast] theorem ofReal_sum {α : Type*} (s : Finset α) (f : α → ℝ) : ((∑ i ∈ s, f i : ℝ) : K) = ∑ i ∈ s, (f i : K) := map_sum (algebraMap ℝ K) _ _ #align is_R_or_C.of_real_sum RCLike.ofReal_sum @[simp, rclike_simps, norm_cast] theorem ofReal_finsupp_sum {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) : ((f.sum fun a b => g a b : ℝ) : K) = f.sum fun a b => (g a b : K) := map_finsupp_sum (algebraMap ℝ K) f g #align is_R_or_C.of_real_finsupp_sum RCLike.ofReal_finsupp_sum @[simp, norm_cast, rclike_simps] theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : K) = r * s := algebraMap.coe_mul _ _ #align is_R_or_C.of_real_mul RCLike.ofReal_mul @[simp, norm_cast, rclike_simps] theorem ofReal_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : K) = (r : K) ^ n := map_pow (algebraMap ℝ K) r n #align is_R_or_C.of_real_pow RCLike.ofReal_pow @[simp, rclike_simps, norm_cast] theorem ofReal_prod {α : Type*} (s : Finset α) (f : α → ℝ) : ((∏ i ∈ s, f i : ℝ) : K) = ∏ i ∈ s, (f i : K) := map_prod (algebraMap ℝ K) _ _ #align is_R_or_C.of_real_prod RCLike.ofReal_prod @[simp, rclike_simps, norm_cast] theorem ofReal_finsupp_prod {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) : ((f.prod fun a b => g a b : ℝ) : K) = f.prod fun a b => (g a b : K) := map_finsupp_prod _ f g #align is_R_or_C.of_real_finsupp_prod RCLike.ofReal_finsupp_prod @[simp, norm_cast, rclike_simps] theorem real_smul_ofReal (r x : ℝ) : r • (x : K) = (r : K) * (x : K) := real_smul_eq_coe_mul _ _ #align is_R_or_C.real_smul_of_real RCLike.real_smul_ofReal @[rclike_simps] theorem re_ofReal_mul (r : ℝ) (z : K) : re (↑r * z) = r * re z := by simp only [mul_re, ofReal_im, zero_mul, ofReal_re, sub_zero] #align is_R_or_C.of_real_mul_re RCLike.re_ofReal_mul @[rclike_simps] theorem im_ofReal_mul (r : ℝ) (z : K) : im (↑r * z) = r * im z := by simp only [add_zero, ofReal_im, zero_mul, ofReal_re, mul_im] #align is_R_or_C.of_real_mul_im RCLike.im_ofReal_mul @[rclike_simps] theorem smul_re (r : ℝ) (z : K) : re (r • z) = r * re z := by rw [real_smul_eq_coe_mul, re_ofReal_mul] #align is_R_or_C.smul_re RCLike.smul_re @[rclike_simps] theorem smul_im (r : ℝ) (z : K) : im (r • z) = r * im z := by rw [real_smul_eq_coe_mul, im_ofReal_mul] #align is_R_or_C.smul_im RCLike.smul_im @[simp, norm_cast, rclike_simps] theorem norm_ofReal (r : ℝ) : ‖(r : K)‖ = |r| := norm_algebraMap' K r #align is_R_or_C.norm_of_real RCLike.norm_ofReal -- see Note [lower instance priority] instance (priority := 100) charZero_rclike : CharZero K := (RingHom.charZero_iff (algebraMap ℝ K).injective).1 inferInstance set_option linter.uppercaseLean3 false in #align is_R_or_C.char_zero_R_or_C RCLike.charZero_rclike @[simp, rclike_simps] theorem I_re : re (I : K) = 0 := I_re_ax set_option linter.uppercaseLean3 false in #align is_R_or_C.I_re RCLike.I_re @[simp, rclike_simps] theorem I_im (z : K) : im z * im (I : K) = im z := mul_im_I_ax z set_option linter.uppercaseLean3 false in #align is_R_or_C.I_im RCLike.I_im @[simp, rclike_simps] theorem I_im' (z : K) : im (I : K) * im z = im z := by rw [mul_comm, I_im] set_option linter.uppercaseLean3 false in #align is_R_or_C.I_im' RCLike.I_im' @[rclike_simps] -- porting note (#10618): was `simp` theorem I_mul_re (z : K) : re (I * z) = -im z := by simp only [I_re, zero_sub, I_im', zero_mul, mul_re] set_option linter.uppercaseLean3 false in #align is_R_or_C.I_mul_re RCLike.I_mul_re theorem I_mul_I : (I : K) = 0 ∨ (I : K) * I = -1 := I_mul_I_ax set_option linter.uppercaseLean3 false in #align is_R_or_C.I_mul_I RCLike.I_mul_I variable (𝕜) in lemma I_eq_zero_or_im_I_eq_one : (I : K) = 0 ∨ im (I : K) = 1 := I_mul_I (K := K) |>.imp_right fun h ↦ by simpa [h] using (I_mul_re (I : K)).symm @[simp, rclike_simps] theorem conj_re (z : K) : re (conj z) = re z := RCLike.conj_re_ax z #align is_R_or_C.conj_re RCLike.conj_re @[simp, rclike_simps] theorem conj_im (z : K) : im (conj z) = -im z := RCLike.conj_im_ax z #align is_R_or_C.conj_im RCLike.conj_im @[simp, rclike_simps] theorem conj_I : conj (I : K) = -I := RCLike.conj_I_ax set_option linter.uppercaseLean3 false in #align is_R_or_C.conj_I RCLike.conj_I @[simp, rclike_simps] theorem conj_ofReal (r : ℝ) : conj (r : K) = (r : K) := by rw [ext_iff] simp only [ofReal_im, conj_im, eq_self_iff_true, conj_re, and_self_iff, neg_zero] #align is_R_or_C.conj_of_real RCLike.conj_ofReal -- replaced by `RCLike.conj_ofNat` #noalign is_R_or_C.conj_bit0 #noalign is_R_or_C.conj_bit1 theorem conj_nat_cast (n : ℕ) : conj (n : K) = n := map_natCast _ _ -- See note [no_index around OfNat.ofNat] theorem conj_ofNat (n : ℕ) [n.AtLeastTwo] : conj (no_index (OfNat.ofNat n : K)) = OfNat.ofNat n := map_ofNat _ _ @[rclike_simps] -- Porting note (#10618): was a `simp` but `simp` can prove it theorem conj_neg_I : conj (-I) = (I : K) := by rw [map_neg, conj_I, neg_neg] set_option linter.uppercaseLean3 false in #align is_R_or_C.conj_neg_I RCLike.conj_neg_I theorem conj_eq_re_sub_im (z : K) : conj z = re z - im z * I := (congr_arg conj (re_add_im z).symm).trans <| by rw [map_add, map_mul, conj_I, conj_ofReal, conj_ofReal, mul_neg, sub_eq_add_neg] #align is_R_or_C.conj_eq_re_sub_im RCLike.conj_eq_re_sub_im theorem sub_conj (z : K) : z - conj z = 2 * im z * I := calc z - conj z = re z + im z * I - (re z - im z * I) := by rw [re_add_im, ← conj_eq_re_sub_im] _ = 2 * im z * I := by rw [add_sub_sub_cancel, ← two_mul, mul_assoc] #align is_R_or_C.sub_conj RCLike.sub_conj @[rclike_simps] theorem conj_smul (r : ℝ) (z : K) : conj (r • z) = r • conj z := by rw [conj_eq_re_sub_im, conj_eq_re_sub_im, smul_re, smul_im, ofReal_mul, ofReal_mul, real_smul_eq_coe_mul r (_ - _), mul_sub, mul_assoc] #align is_R_or_C.conj_smul RCLike.conj_smul theorem add_conj (z : K) : z + conj z = 2 * re z := calc z + conj z = re z + im z * I + (re z - im z * I) := by rw [re_add_im, conj_eq_re_sub_im] _ = 2 * re z := by rw [add_add_sub_cancel, two_mul] #align is_R_or_C.add_conj RCLike.add_conj theorem re_eq_add_conj (z : K) : ↑(re z) = (z + conj z) / 2 := by rw [add_conj, mul_div_cancel_left₀ (re z : K) two_ne_zero] #align is_R_or_C.re_eq_add_conj RCLike.re_eq_add_conj theorem im_eq_conj_sub (z : K) : ↑(im z) = I * (conj z - z) / 2 := by rw [← neg_inj, ← ofReal_neg, ← I_mul_re, re_eq_add_conj, map_mul, conj_I, ← neg_div, ← mul_neg, neg_sub, mul_sub, neg_mul, sub_eq_add_neg] #align is_R_or_C.im_eq_conj_sub RCLike.im_eq_conj_sub open List in
Mathlib/Analysis/RCLike/Basic.lean
391
403
theorem is_real_TFAE (z : K) : TFAE [conj z = z, ∃ r : ℝ, (r : K) = z, ↑(re z) = z, im z = 0] := by
tfae_have 1 → 4 · intro h rw [← @ofReal_inj K, im_eq_conj_sub, h, sub_self, mul_zero, zero_div, ofReal_zero] tfae_have 4 → 3 · intro h conv_rhs => rw [← re_add_im z, h, ofReal_zero, zero_mul, add_zero] tfae_have 3 → 2 · exact fun h => ⟨_, h⟩ tfae_have 2 → 1 · exact fun ⟨r, hr⟩ => hr ▸ conj_ofReal _ tfae_finish
import Mathlib.Analysis.Complex.Basic import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Data.Complex.Determinant #align_import analysis.complex.operator_norm from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6" open ContinuousLinearMap namespace Complex @[simp] theorem det_conjLIE : LinearMap.det (conjLIE.toLinearEquiv : ℂ →ₗ[ℝ] ℂ) = -1 := det_conjAe #align complex.det_conj_lie Complex.det_conjLIE @[simp] theorem linearEquiv_det_conjLIE : LinearEquiv.det conjLIE.toLinearEquiv = -1 := linearEquiv_det_conjAe #align complex.linear_equiv_det_conj_lie Complex.linearEquiv_det_conjLIE @[simp]
Mathlib/Analysis/Complex/OperatorNorm.lean
37
41
theorem reCLM_norm : ‖reCLM‖ = 1 := le_antisymm (LinearMap.mkContinuous_norm_le _ zero_le_one _) <| calc 1 = ‖reCLM 1‖ := by
simp _ ≤ ‖reCLM‖ := unit_le_opNorm _ _ (by simp)
import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Combinatorics.SimpleGraph.Maps #align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b" universe u v namespace SimpleGraph @[ext] structure Subgraph {V : Type u} (G : SimpleGraph V) where verts : Set V Adj : V → V → Prop adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously` #align simple_graph.subgraph SimpleGraph.Subgraph initialize_simps_projections SimpleGraph.Subgraph (Adj → adj) variable {ι : Sort*} {V : Type u} {W : Type v} @[simps] protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where verts := {v} Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm _ _ := False.elim #align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph @[simps] def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where verts := {v, w} Adj a b := s(v, w) = s(a, b) adj_sub h := by rw [← G.mem_edgeSet, ← h] exact hvw edge_vert {a b} h := by apply_fun fun e ↦ a ∈ e at h simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h exact h #align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj namespace Subgraph variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V} protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj := fun v h ↦ G.loopless v (G'.adj_sub h) #align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v := ⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩ #align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm @[symm] theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v := H.adj_sub h #align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts := H.edge_vert h #align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts := h.symm.fst_mem #align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v := h.adj_sub.ne #align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne @[simps] protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where Adj v w := G'.Adj v w symm _ _ h := G'.symm h loopless v h := loopless G v (G'.adj_sub h) #align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe @[simp] theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub -- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`. protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) : H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h #align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe def IsSpanning (G' : Subgraph G) : Prop := ∀ v : V, v ∈ G'.verts #align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ := Set.eq_univ_iff_forall.symm #align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff @[simps] protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where Adj := G'.Adj symm := G'.symm loopless v hv := G.loopless v (G'.adj_sub hv) #align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe @[simp] theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by simp [Subgraph.spanningCoe] #align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj @[simps] def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) : G'.spanningCoe ≃g G'.coe where toFun v := ⟨v, h v⟩ invFun v := v left_inv _ := rfl right_inv _ := rfl map_rel_iff' := Iff.rfl #align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning def IsInduced (G' : Subgraph G) : Prop := ∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w #align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced def support (H : Subgraph G) : Set V := Rel.dom H.Adj #align simple_graph.subgraph.support SimpleGraph.Subgraph.support theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts := fun _ ⟨_, h⟩ ↦ H.edge_vert h #align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w} #align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v := fun _ ↦ G'.adj_sub #align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts := fun _ h ↦ G'.edge_vert (adj_symm G' h) #align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts @[simp] theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) : G'.coe.neighborSet v ≃ G'.neighborSet v where toFun w := ⟨w, w.2⟩ invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩ left_inv _ := rfl right_inv _ := rfl #align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm #align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet := Sym2.ind (fun _ _ ↦ G'.adj_sub) #align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset @[simp] theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet) (hv : v ∈ e) : v ∈ G'.verts := by revert hv refine Sym2.ind (fun v w he ↦ ?_) e he intro hv rcases Sym2.mem_iff.mp hv with (rfl | rfl) · exact G'.edge_vert he · exact G'.edge_vert (G'.symm he) #align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e} #align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G.incidenceSet v := fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩ #align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet := fun _ h ↦ h.1 #align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩ #align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where verts := V'' Adj := adj' adj_sub := hadj.symm ▸ G'.adj_sub edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert symm := hadj.symm ▸ G'.symm #align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' := Subgraph.ext _ _ hV hadj #align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq instance : Sup G.Subgraph where sup G₁ G₂ := { verts := G₁.verts ∪ G₂.verts Adj := G₁.Adj ⊔ G₂.Adj adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm } instance : Inf G.Subgraph where inf G₁ G₂ := { verts := G₁.verts ∩ G₂.verts Adj := G₁.Adj ⊓ G₂.Adj adj_sub := fun hab => G₁.adj_sub hab.1 edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm } instance : Top G.Subgraph where top := { verts := Set.univ Adj := G.Adj adj_sub := id edge_vert := @fun v _ _ => Set.mem_univ v symm := G.symm } instance : Bot G.Subgraph where bot := { verts := ∅ Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm := fun _ _ => id } instance : SupSet G.Subgraph where sSup s := { verts := ⋃ G' ∈ s, verts G' Adj := fun a b => ∃ G' ∈ s, Adj G' a b adj_sub := by rintro a b ⟨G', -, hab⟩ exact G'.adj_sub hab edge_vert := by rintro a b ⟨G', hG', hab⟩ exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab) symm := fun a b h => by simpa [adj_comm] using h } instance : InfSet G.Subgraph where sInf s := { verts := ⋂ G' ∈ s, verts G' Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b adj_sub := And.right edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG' symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm } @[simp] theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj @[simp] theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj @[simp] theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b := Iff.rfl #align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj @[simp] theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b := not_false #align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj @[simp] theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts := rfl #align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup @[simp] theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts := rfl #align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf @[simp] theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ := rfl #align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top @[simp] theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ := rfl #align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot @[simp] theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b := Iff.rfl #align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj @[simp] theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b := Iff.rfl #align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj @[simp] theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup] #align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj @[simp]
Mathlib/Combinatorics/SimpleGraph/Subgraph.lean
403
404
theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by
simp [iInf]
import Mathlib.CategoryTheory.Opposites #align_import category_theory.eq_to_hom from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe v₁ v₂ v₃ u₁ u₂ u₃ -- morphism levels before object levels. See note [CategoryTheory universes]. namespace CategoryTheory open Opposite variable {C : Type u₁} [Category.{v₁} C] def eqToHom {X Y : C} (p : X = Y) : X ⟶ Y := by rw [p]; exact 𝟙 _ #align category_theory.eq_to_hom CategoryTheory.eqToHom @[simp] theorem eqToHom_refl (X : C) (p : X = X) : eqToHom p = 𝟙 X := rfl #align category_theory.eq_to_hom_refl CategoryTheory.eqToHom_refl @[reassoc (attr := simp)] theorem eqToHom_trans {X Y Z : C} (p : X = Y) (q : Y = Z) : eqToHom p ≫ eqToHom q = eqToHom (p.trans q) := by cases p cases q simp #align category_theory.eq_to_hom_trans CategoryTheory.eqToHom_trans theorem comp_eqToHom_iff {X Y Y' : C} (p : Y = Y') (f : X ⟶ Y) (g : X ⟶ Y') : f ≫ eqToHom p = g ↔ f = g ≫ eqToHom p.symm := { mp := fun h => h ▸ by simp mpr := fun h => by simp [eq_whisker h (eqToHom p)] } #align category_theory.comp_eq_to_hom_iff CategoryTheory.comp_eqToHom_iff theorem eqToHom_comp_iff {X X' Y : C} (p : X = X') (f : X ⟶ Y) (g : X' ⟶ Y) : eqToHom p ≫ g = f ↔ g = eqToHom p.symm ≫ f := { mp := fun h => h ▸ by simp mpr := fun h => h ▸ by simp [whisker_eq _ h] } #align category_theory.eq_to_hom_comp_iff CategoryTheory.eqToHom_comp_iff variable {β : Sort*} -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_naturality {f g : β → C} (z : ∀ b, f b ⟶ g b) {j j' : β} (w : j = j') : z j ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ z j' := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_hom_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).hom ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').hom := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_inv_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).inv ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').inv := by cases w simp @[simp, nolint simpNF] theorem congrArg_cast_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : cast (congrArg (fun W : C => W ⟶ Z) p.symm) q = eqToHom p ≫ q := by cases p simp theorem congrArg_mpr_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : (congrArg (fun W : C => W ⟶ Z) p).mpr q = eqToHom p ≫ q := by cases p simp #align category_theory.congr_arg_mpr_hom_left CategoryTheory.congrArg_mpr_hom_left @[simp, nolint simpNF] theorem congrArg_cast_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) : cast (congrArg (fun W : C => X ⟶ W) q.symm) p = p ≫ eqToHom q.symm := by cases q simp theorem congrArg_mpr_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) : (congrArg (fun W : C => X ⟶ W) q).mpr p = p ≫ eqToHom q.symm := by cases q simp #align category_theory.congr_arg_mpr_hom_right CategoryTheory.congrArg_mpr_hom_right def eqToIso {X Y : C} (p : X = Y) : X ≅ Y := ⟨eqToHom p, eqToHom p.symm, by simp, by simp⟩ #align category_theory.eq_to_iso CategoryTheory.eqToIso @[simp] theorem eqToIso.hom {X Y : C} (p : X = Y) : (eqToIso p).hom = eqToHom p := rfl #align category_theory.eq_to_iso.hom CategoryTheory.eqToIso.hom @[simp] theorem eqToIso.inv {X Y : C} (p : X = Y) : (eqToIso p).inv = eqToHom p.symm := rfl #align category_theory.eq_to_iso.inv CategoryTheory.eqToIso.inv @[simp] theorem eqToIso_refl {X : C} (p : X = X) : eqToIso p = Iso.refl X := rfl #align category_theory.eq_to_iso_refl CategoryTheory.eqToIso_refl @[simp] theorem eqToIso_trans {X Y Z : C} (p : X = Y) (q : Y = Z) : eqToIso p ≪≫ eqToIso q = eqToIso (p.trans q) := by ext; simp #align category_theory.eq_to_iso_trans CategoryTheory.eqToIso_trans @[simp] theorem eqToHom_op {X Y : C} (h : X = Y) : (eqToHom h).op = eqToHom (congr_arg op h.symm) := by cases h rfl #align category_theory.eq_to_hom_op CategoryTheory.eqToHom_op @[simp] theorem eqToHom_unop {X Y : Cᵒᵖ} (h : X = Y) : (eqToHom h).unop = eqToHom (congr_arg unop h.symm) := by cases h rfl #align category_theory.eq_to_hom_unop CategoryTheory.eqToHom_unop instance {X Y : C} (h : X = Y) : IsIso (eqToHom h) := (eqToIso h).isIso_hom @[simp] theorem inv_eqToHom {X Y : C} (h : X = Y) : inv (eqToHom h) = eqToHom h.symm := by aesop_cat #align category_theory.inv_eq_to_hom CategoryTheory.inv_eqToHom variable {D : Type u₂} [Category.{v₂} D] namespace Functor theorem ext {F G : C ⥤ D} (h_obj : ∀ X, F.obj X = G.obj X) (h_map : ∀ X Y f, F.map f = eqToHom (h_obj X) ≫ G.map f ≫ eqToHom (h_obj Y).symm := by aesop_cat) : F = G := by match F, G with | mk F_pre _ _ , mk G_pre _ _ => match F_pre, G_pre with -- Porting note: did not unfold the Prefunctor unlike Lean3 | Prefunctor.mk F_obj _ , Prefunctor.mk G_obj _ => obtain rfl : F_obj = G_obj := by ext X apply h_obj congr funext X Y f simpa using h_map X Y f #align category_theory.functor.ext CategoryTheory.Functor.ext lemma ext_of_iso {F G : C ⥤ D} (e : F ≅ G) (hobj : ∀ X, F.obj X = G.obj X) (happ : ∀ X, e.hom.app X = eqToHom (hobj X)) : F = G := Functor.ext hobj (fun X Y f => by rw [← cancel_mono (e.hom.app Y), e.hom.naturality f, happ, happ, Category.assoc, Category.assoc, eqToHom_trans, eqToHom_refl, Category.comp_id]) theorem conj_eqToHom_iff_heq {W X Y Z : C} (f : W ⟶ X) (g : Y ⟶ Z) (h : W = Y) (h' : X = Z) : f = eqToHom h ≫ g ≫ eqToHom h'.symm ↔ HEq f g := by cases h cases h' simp #align category_theory.functor.conj_eq_to_hom_iff_heq CategoryTheory.Functor.conj_eqToHom_iff_heq theorem hext {F G : C ⥤ D} (h_obj : ∀ X, F.obj X = G.obj X) (h_map : ∀ (X Y) (f : X ⟶ Y), HEq (F.map f) (G.map f)) : F = G := Functor.ext h_obj fun _ _ f => (conj_eqToHom_iff_heq _ _ (h_obj _) (h_obj _)).2 <| h_map _ _ f #align category_theory.functor.hext CategoryTheory.Functor.hext -- Using equalities between functors. theorem congr_obj {F G : C ⥤ D} (h : F = G) (X) : F.obj X = G.obj X := by rw [h] #align category_theory.functor.congr_obj CategoryTheory.Functor.congr_obj
Mathlib/CategoryTheory/EqToHom.lean
240
242
theorem congr_hom {F G : C ⥤ D} (h : F = G) {X Y} (f : X ⟶ Y) : F.map f = eqToHom (congr_obj h X) ≫ G.map f ≫ eqToHom (congr_obj h Y).symm := by
subst h; simp
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set
Mathlib/Data/Set/Lattice.lean
67
68
theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by
simp_rw [mem_iUnion]