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import Mathlib.Computability.Halting #align_import computability.reduce from "leanprover-community/mathlib"@"d13b3a4a392ea7273dfa4727dbd1892e26cfd518" universe u v w open Function def ManyOneReducible {α β} [Primcodable α] [Primcodable β] (p : α → Prop) (q : β → Prop) := ∃ f, Computable f ∧ ∀ a, p a ↔ q (f a) #align many_one_reducible ManyOneReducible @[inherit_doc ManyOneReducible] infixl:1000 " ≤₀ " => ManyOneReducible theorem ManyOneReducible.mk {α β} [Primcodable α] [Primcodable β] {f : α → β} (q : β → Prop) (h : Computable f) : (fun a => q (f a)) ≤₀ q := ⟨f, h, fun _ => Iff.rfl⟩ #align many_one_reducible.mk ManyOneReducible.mk @[refl] theorem manyOneReducible_refl {α} [Primcodable α] (p : α → Prop) : p ≤₀ p := ⟨id, Computable.id, by simp⟩ #align many_one_reducible_refl manyOneReducible_refl @[trans] theorem ManyOneReducible.trans {α β γ} [Primcodable α] [Primcodable β] [Primcodable γ] {p : α → Prop} {q : β → Prop} {r : γ → Prop} : p ≤₀ q → q ≤₀ r → p ≤₀ r | ⟨f, c₁, h₁⟩, ⟨g, c₂, h₂⟩ => ⟨g ∘ f, c₂.comp c₁, fun a => ⟨fun h => by erw [← h₂, ← h₁]; assumption, fun h => by rwa [h₁, h₂]⟩⟩ #align many_one_reducible.trans ManyOneReducible.trans theorem reflexive_manyOneReducible {α} [Primcodable α] : Reflexive (@ManyOneReducible α α _ _) := manyOneReducible_refl #align reflexive_many_one_reducible reflexive_manyOneReducible theorem transitive_manyOneReducible {α} [Primcodable α] : Transitive (@ManyOneReducible α α _ _) := fun _ _ _ => ManyOneReducible.trans #align transitive_many_one_reducible transitive_manyOneReducible def OneOneReducible {α β} [Primcodable α] [Primcodable β] (p : α → Prop) (q : β → Prop) := ∃ f, Computable f ∧ Injective f ∧ ∀ a, p a ↔ q (f a) #align one_one_reducible OneOneReducible @[inherit_doc OneOneReducible] infixl:1000 " ≤₁ " => OneOneReducible theorem OneOneReducible.mk {α β} [Primcodable α] [Primcodable β] {f : α → β} (q : β → Prop) (h : Computable f) (i : Injective f) : (fun a => q (f a)) ≤₁ q := ⟨f, h, i, fun _ => Iff.rfl⟩ #align one_one_reducible.mk OneOneReducible.mk @[refl] theorem oneOneReducible_refl {α} [Primcodable α] (p : α → Prop) : p ≤₁ p := ⟨id, Computable.id, injective_id, by simp⟩ #align one_one_reducible_refl oneOneReducible_refl @[trans] theorem OneOneReducible.trans {α β γ} [Primcodable α] [Primcodable β] [Primcodable γ] {p : α → Prop} {q : β → Prop} {r : γ → Prop} : p ≤₁ q → q ≤₁ r → p ≤₁ r | ⟨f, c₁, i₁, h₁⟩, ⟨g, c₂, i₂, h₂⟩ => ⟨g ∘ f, c₂.comp c₁, i₂.comp i₁, fun a => ⟨fun h => by erw [← h₂, ← h₁]; assumption, fun h => by rwa [h₁, h₂]⟩⟩ #align one_one_reducible.trans OneOneReducible.trans theorem OneOneReducible.to_many_one {α β} [Primcodable α] [Primcodable β] {p : α → Prop} {q : β → Prop} : p ≤₁ q → p ≤₀ q | ⟨f, c, _, h⟩ => ⟨f, c, h⟩ #align one_one_reducible.to_many_one OneOneReducible.to_many_one theorem OneOneReducible.of_equiv {α β} [Primcodable α] [Primcodable β] {e : α ≃ β} (q : β → Prop) (h : Computable e) : (q ∘ e) ≤₁ q := OneOneReducible.mk _ h e.injective #align one_one_reducible.of_equiv OneOneReducible.of_equiv theorem OneOneReducible.of_equiv_symm {α β} [Primcodable α] [Primcodable β] {e : α ≃ β} (q : β → Prop) (h : Computable e.symm) : q ≤₁ (q ∘ e) := by convert OneOneReducible.of_equiv _ h; funext; simp #align one_one_reducible.of_equiv_symm OneOneReducible.of_equiv_symm theorem reflexive_oneOneReducible {α} [Primcodable α] : Reflexive (@OneOneReducible α α _ _) := oneOneReducible_refl #align reflexive_one_one_reducible reflexive_oneOneReducible theorem transitive_oneOneReducible {α} [Primcodable α] : Transitive (@OneOneReducible α α _ _) := fun _ _ _ => OneOneReducible.trans #align transitive_one_one_reducible transitive_oneOneReducible namespace ComputablePred variable {α : Type*} {β : Type*} {σ : Type*} variable [Primcodable α] [Primcodable β] [Primcodable σ] open Computable
Mathlib/Computability/Reduce.lean
131
136
theorem computable_of_manyOneReducible {p : α → Prop} {q : β → Prop} (h₁ : p ≤₀ q) (h₂ : ComputablePred q) : ComputablePred p := by rcases h₁ with ⟨f, c, hf⟩
rcases h₁ with ⟨f, c, hf⟩ rw [show p = fun a => q (f a) from Set.ext hf] rcases computable_iff.1 h₂ with ⟨g, hg, rfl⟩ exact ⟨by infer_instance, by simpa using hg.comp c⟩
true
import Mathlib.Algebra.MvPolynomial.Equiv import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Adjoin.Basic import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.MvPolynomial.Basic #align_import ring_theory.algebraic_independent from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" noncomputable section open Function Set Subalgebra MvPolynomial Algebra open scoped Classical universe x u v w variable {ι : Type*} {ι' : Type*} (R : Type*) {K : Type*} variable {A : Type*} {A' A'' : Type*} {V : Type u} {V' : Type*} variable (x : ι → A) variable [CommRing R] [CommRing A] [CommRing A'] [CommRing A''] variable [Algebra R A] [Algebra R A'] [Algebra R A''] variable {a b : R} def AlgebraicIndependent : Prop := Injective (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A) #align algebraic_independent AlgebraicIndependent variable {R} {x} theorem algebraicIndependent_iff_ker_eq_bot : AlgebraicIndependent R x ↔ RingHom.ker (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A).toRingHom = ⊥ := RingHom.injective_iff_ker_eq_bot _ #align algebraic_independent_iff_ker_eq_bot algebraicIndependent_iff_ker_eq_bot theorem algebraicIndependent_iff : AlgebraicIndependent R x ↔ ∀ p : MvPolynomial ι R, MvPolynomial.aeval (x : ι → A) p = 0 → p = 0 := injective_iff_map_eq_zero _ #align algebraic_independent_iff algebraicIndependent_iff theorem AlgebraicIndependent.eq_zero_of_aeval_eq_zero (h : AlgebraicIndependent R x) : ∀ p : MvPolynomial ι R, MvPolynomial.aeval (x : ι → A) p = 0 → p = 0 := algebraicIndependent_iff.1 h #align algebraic_independent.eq_zero_of_aeval_eq_zero AlgebraicIndependent.eq_zero_of_aeval_eq_zero theorem algebraicIndependent_iff_injective_aeval : AlgebraicIndependent R x ↔ Injective (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A) := Iff.rfl #align algebraic_independent_iff_injective_aeval algebraicIndependent_iff_injective_aeval @[simp] theorem algebraicIndependent_empty_type_iff [IsEmpty ι] : AlgebraicIndependent R x ↔ Injective (algebraMap R A) := by have : aeval x = (Algebra.ofId R A).comp (@isEmptyAlgEquiv R ι _ _).toAlgHom := by ext i exact IsEmpty.elim' ‹IsEmpty ι› i rw [AlgebraicIndependent, this, ← Injective.of_comp_iff' _ (@isEmptyAlgEquiv R ι _ _).bijective] rfl #align algebraic_independent_empty_type_iff algebraicIndependent_empty_type_iff namespace AlgebraicIndependent variable (hx : AlgebraicIndependent R x)
Mathlib/RingTheory/AlgebraicIndependent.lean
103
106
theorem algebraMap_injective : Injective (algebraMap R A) := by simpa [Function.comp] using
simpa [Function.comp] using (Injective.of_comp_iff (algebraicIndependent_iff_injective_aeval.1 hx) MvPolynomial.C).2 (MvPolynomial.C_injective _ _)
true
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts import Mathlib.GroupTheory.EckmannHilton import Mathlib.Tactic.CategoryTheory.Reassoc #align_import category_theory.preadditive.of_biproducts from "leanprover-community/mathlib"@"061ea99a5610cfc72c286aa930d3c1f47f74f3d0" noncomputable section universe v u open CategoryTheory open CategoryTheory.Limits namespace CategoryTheory.SemiadditiveOfBinaryBiproducts variable {C : Type u} [Category.{v} C] [HasZeroMorphisms C] [HasBinaryBiproducts C] section variable (X Y : C) @[simp] def leftAdd (f g : X ⟶ Y) : X ⟶ Y := biprod.lift f g ≫ biprod.desc (𝟙 Y) (𝟙 Y) #align category_theory.semiadditive_of_binary_biproducts.left_add CategoryTheory.SemiadditiveOfBinaryBiproducts.leftAdd @[simp] def rightAdd (f g : X ⟶ Y) : X ⟶ Y := biprod.lift (𝟙 X) (𝟙 X) ≫ biprod.desc f g #align category_theory.semiadditive_of_binary_biproducts.right_add CategoryTheory.SemiadditiveOfBinaryBiproducts.rightAdd local infixr:65 " +ₗ " => leftAdd X Y local infixr:65 " +ᵣ " => rightAdd X Y theorem isUnital_leftAdd : EckmannHilton.IsUnital (· +ₗ ·) 0 := by have hr : ∀ f : X ⟶ Y, biprod.lift (0 : X ⟶ Y) f = f ≫ biprod.inr := by intro f ext · aesop_cat · simp [biprod.lift_fst, Category.assoc, biprod.inr_fst, comp_zero] have hl : ∀ f : X ⟶ Y, biprod.lift f (0 : X ⟶ Y) = f ≫ biprod.inl := by intro f ext · aesop_cat · simp [biprod.lift_snd, Category.assoc, biprod.inl_snd, comp_zero] exact { left_id := fun f => by simp [hr f, leftAdd, Category.assoc, Category.comp_id, biprod.inr_desc], right_id := fun f => by simp [hl f, leftAdd, Category.assoc, Category.comp_id, biprod.inl_desc] } #align category_theory.semiadditive_of_binary_biproducts.is_unital_left_add CategoryTheory.SemiadditiveOfBinaryBiproducts.isUnital_leftAdd
Mathlib/CategoryTheory/Preadditive/OfBiproducts.lean
71
85
theorem isUnital_rightAdd : EckmannHilton.IsUnital (· +ᵣ ·) 0 := by have h₂ : ∀ f : X ⟶ Y, biprod.desc (0 : X ⟶ Y) f = biprod.snd ≫ f := by
have h₂ : ∀ f : X ⟶ Y, biprod.desc (0 : X ⟶ Y) f = biprod.snd ≫ f := by intro f ext · aesop_cat · simp only [biprod.inr_desc, BinaryBicone.inr_snd_assoc] have h₁ : ∀ f : X ⟶ Y, biprod.desc f (0 : X ⟶ Y) = biprod.fst ≫ f := by intro f ext · aesop_cat · simp only [biprod.inr_desc, BinaryBicone.inr_fst_assoc, zero_comp] exact { left_id := fun f => by simp [h₂ f, rightAdd, biprod.lift_snd_assoc, Category.id_comp], right_id := fun f => by simp [h₁ f, rightAdd, biprod.lift_fst_assoc, Category.id_comp] }
true
import Mathlib.MeasureTheory.Measure.Dirac set_option autoImplicit true open Set open scoped ENNReal Classical variable [MeasurableSpace α] [MeasurableSpace β] {s : Set α} noncomputable section namespace MeasureTheory.Measure def count : Measure α := sum dirac #align measure_theory.measure.count MeasureTheory.Measure.count theorem le_count_apply : ∑' _ : s, (1 : ℝ≥0∞) ≤ count s := calc (∑' _ : s, 1 : ℝ≥0∞) = ∑' i, indicator s 1 i := tsum_subtype s 1 _ ≤ ∑' i, dirac i s := ENNReal.tsum_le_tsum fun _ => le_dirac_apply _ ≤ count s := le_sum_apply _ _ #align measure_theory.measure.le_count_apply MeasureTheory.Measure.le_count_apply theorem count_apply (hs : MeasurableSet s) : count s = ∑' i : s, 1 := by simp only [count, sum_apply, hs, dirac_apply', ← tsum_subtype s (1 : α → ℝ≥0∞), Pi.one_apply] #align measure_theory.measure.count_apply MeasureTheory.Measure.count_apply -- @[simp] -- Porting note (#10618): simp can prove this theorem count_empty : count (∅ : Set α) = 0 := by rw [count_apply MeasurableSet.empty, tsum_empty] #align measure_theory.measure.count_empty MeasureTheory.Measure.count_empty @[simp] theorem count_apply_finset' {s : Finset α} (s_mble : MeasurableSet (s : Set α)) : count (↑s : Set α) = s.card := calc count (↑s : Set α) = ∑' i : (↑s : Set α), 1 := count_apply s_mble _ = ∑ i ∈ s, 1 := s.tsum_subtype 1 _ = s.card := by simp #align measure_theory.measure.count_apply_finset' MeasureTheory.Measure.count_apply_finset' @[simp] theorem count_apply_finset [MeasurableSingletonClass α] (s : Finset α) : count (↑s : Set α) = s.card := count_apply_finset' s.measurableSet #align measure_theory.measure.count_apply_finset MeasureTheory.Measure.count_apply_finset
Mathlib/MeasureTheory/Measure/Count.lean
62
65
theorem count_apply_finite' {s : Set α} (s_fin : s.Finite) (s_mble : MeasurableSet s) : count s = s_fin.toFinset.card := by simp [←
simp [← @count_apply_finset' _ _ s_fin.toFinset (by simpa only [Finite.coe_toFinset] using s_mble)]
true
import Mathlib.Algebra.Order.Invertible import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.LinearAlgebra.AffineSpace.Midpoint import Mathlib.LinearAlgebra.Ray import Mathlib.Tactic.GCongr #align_import analysis.convex.segment from "leanprover-community/mathlib"@"c5773405394e073885e2a144c9ca14637e8eb963" variable {𝕜 E F G ι : Type*} {π : ι → Type*} open Function Set open Pointwise Convex section OrderedSemiring variable [OrderedSemiring 𝕜] [AddCommMonoid E] section SMul variable (𝕜) [SMul 𝕜 E] {s : Set E} {x y : E} def segment (x y : E) : Set E := { z : E | ∃ a b : 𝕜, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ a • x + b • y = z } #align segment segment def openSegment (x y : E) : Set E := { z : E | ∃ a b : 𝕜, 0 < a ∧ 0 < b ∧ a + b = 1 ∧ a • x + b • y = z } #align open_segment openSegment @[inherit_doc] scoped[Convex] notation (priority := high) "[" x "-[" 𝕜 "]" y "]" => segment 𝕜 x y theorem segment_eq_image₂ (x y : E) : [x -[𝕜] y] = (fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 ≤ p.1 ∧ 0 ≤ p.2 ∧ p.1 + p.2 = 1 } := by simp only [segment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc] #align segment_eq_image₂ segment_eq_image₂
Mathlib/Analysis/Convex/Segment.lean
68
71
theorem openSegment_eq_image₂ (x y : E) : openSegment 𝕜 x y = (fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 < p.1 ∧ 0 < p.2 ∧ p.1 + p.2 = 1 } := by
simp only [openSegment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc]
true
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine import Mathlib.Tactic.IntervalCases #align_import geometry.euclidean.triangle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped Classical open scoped Real open scoped RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] theorem norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle (x y : V) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - 2 * ‖x‖ * ‖y‖ * Real.cos (angle x y) := by rw [show 2 * ‖x‖ * ‖y‖ * Real.cos (angle x y) = 2 * (Real.cos (angle x y) * (‖x‖ * ‖y‖)) by ring, cos_angle_mul_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, real_inner_sub_sub_self, sub_add_eq_add_sub] #align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle
Mathlib/Geometry/Euclidean/Triangle.lean
71
75
theorem angle_sub_eq_angle_sub_rev_of_norm_eq {x y : V} (h : ‖x‖ = ‖y‖) : angle x (x - y) = angle y (y - x) := by refine Real.injOn_cos ⟨angle_nonneg _ _, angle_le_pi _ _⟩ ⟨angle_nonneg _ _, angle_le_pi _ _⟩ ?_
refine Real.injOn_cos ⟨angle_nonneg _ _, angle_le_pi _ _⟩ ⟨angle_nonneg _ _, angle_le_pi _ _⟩ ?_ rw [cos_angle, cos_angle, h, ← neg_sub, norm_neg, neg_sub, inner_sub_right, inner_sub_right, real_inner_self_eq_norm_mul_norm, real_inner_self_eq_norm_mul_norm, h, real_inner_comm x y]
true
import Mathlib.Geometry.Manifold.MFDeriv.Basic noncomputable section open scoped Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {f : E → E'} {s : Set E} {x : E} section MFDerivFderiv theorem uniqueMDiffWithinAt_iff_uniqueDiffWithinAt : UniqueMDiffWithinAt 𝓘(𝕜, E) s x ↔ UniqueDiffWithinAt 𝕜 s x := by simp only [UniqueMDiffWithinAt, mfld_simps] #align unique_mdiff_within_at_iff_unique_diff_within_at uniqueMDiffWithinAt_iff_uniqueDiffWithinAt alias ⟨UniqueMDiffWithinAt.uniqueDiffWithinAt, UniqueDiffWithinAt.uniqueMDiffWithinAt⟩ := uniqueMDiffWithinAt_iff_uniqueDiffWithinAt #align unique_mdiff_within_at.unique_diff_within_at UniqueMDiffWithinAt.uniqueDiffWithinAt #align unique_diff_within_at.unique_mdiff_within_at UniqueDiffWithinAt.uniqueMDiffWithinAt theorem uniqueMDiffOn_iff_uniqueDiffOn : UniqueMDiffOn 𝓘(𝕜, E) s ↔ UniqueDiffOn 𝕜 s := by simp [UniqueMDiffOn, UniqueDiffOn, uniqueMDiffWithinAt_iff_uniqueDiffWithinAt] #align unique_mdiff_on_iff_unique_diff_on uniqueMDiffOn_iff_uniqueDiffOn alias ⟨UniqueMDiffOn.uniqueDiffOn, UniqueDiffOn.uniqueMDiffOn⟩ := uniqueMDiffOn_iff_uniqueDiffOn #align unique_mdiff_on.unique_diff_on UniqueMDiffOn.uniqueDiffOn #align unique_diff_on.unique_mdiff_on UniqueDiffOn.uniqueMDiffOn -- Porting note (#10618): was `@[simp, mfld_simps]` but `simp` can prove it theorem writtenInExtChartAt_model_space : writtenInExtChartAt 𝓘(𝕜, E) 𝓘(𝕜, E') x f = f := rfl #align written_in_ext_chart_model_space writtenInExtChartAt_model_space theorem hasMFDerivWithinAt_iff_hasFDerivWithinAt {f'} : HasMFDerivWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x f' ↔ HasFDerivWithinAt f f' s x := by simpa only [HasMFDerivWithinAt, and_iff_right_iff_imp, mfld_simps] using HasFDerivWithinAt.continuousWithinAt #align has_mfderiv_within_at_iff_has_fderiv_within_at hasMFDerivWithinAt_iff_hasFDerivWithinAt alias ⟨HasMFDerivWithinAt.hasFDerivWithinAt, HasFDerivWithinAt.hasMFDerivWithinAt⟩ := hasMFDerivWithinAt_iff_hasFDerivWithinAt #align has_mfderiv_within_at.has_fderiv_within_at HasMFDerivWithinAt.hasFDerivWithinAt #align has_fderiv_within_at.has_mfderiv_within_at HasFDerivWithinAt.hasMFDerivWithinAt theorem hasMFDerivAt_iff_hasFDerivAt {f'} : HasMFDerivAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x f' ↔ HasFDerivAt f f' x := by rw [← hasMFDerivWithinAt_univ, hasMFDerivWithinAt_iff_hasFDerivWithinAt, hasFDerivWithinAt_univ] #align has_mfderiv_at_iff_has_fderiv_at hasMFDerivAt_iff_hasFDerivAt alias ⟨HasMFDerivAt.hasFDerivAt, HasFDerivAt.hasMFDerivAt⟩ := hasMFDerivAt_iff_hasFDerivAt #align has_mfderiv_at.has_fderiv_at HasMFDerivAt.hasFDerivAt #align has_fderiv_at.has_mfderiv_at HasFDerivAt.hasMFDerivAt theorem mdifferentiableWithinAt_iff_differentiableWithinAt : MDifferentiableWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x ↔ DifferentiableWithinAt 𝕜 f s x := by simp only [mdifferentiableWithinAt_iff', mfld_simps] exact ⟨fun H => H.2, fun H => ⟨H.continuousWithinAt, H⟩⟩ #align mdifferentiable_within_at_iff_differentiable_within_at mdifferentiableWithinAt_iff_differentiableWithinAt alias ⟨MDifferentiableWithinAt.differentiableWithinAt, DifferentiableWithinAt.mdifferentiableWithinAt⟩ := mdifferentiableWithinAt_iff_differentiableWithinAt #align mdifferentiable_within_at.differentiable_within_at MDifferentiableWithinAt.differentiableWithinAt #align differentiable_within_at.mdifferentiable_within_at DifferentiableWithinAt.mdifferentiableWithinAt
Mathlib/Geometry/Manifold/MFDeriv/FDeriv.lean
84
87
theorem mdifferentiableAt_iff_differentiableAt : MDifferentiableAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x ↔ DifferentiableAt 𝕜 f x := by simp only [mdifferentiableAt_iff, differentiableWithinAt_univ, mfld_simps]
simp only [mdifferentiableAt_iff, differentiableWithinAt_univ, mfld_simps] exact ⟨fun H => H.2, fun H => ⟨H.continuousAt, H⟩⟩
true
import Mathlib.Analysis.NormedSpace.BoundedLinearMaps import Mathlib.Topology.FiberBundle.Basic #align_import topology.vector_bundle.basic from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" noncomputable section open scoped Classical open Bundle Set open scoped Topology variable (R : Type*) {B : Type*} (F : Type*) (E : B → Type*) section TopologicalVectorSpace variable {F E} variable [Semiring R] [TopologicalSpace F] [TopologicalSpace B] protected class Pretrivialization.IsLinear [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] (e : Pretrivialization F (π F E)) : Prop where linear : ∀ b ∈ e.baseSet, IsLinearMap R fun x : E b => (e ⟨b, x⟩).2 #align pretrivialization.is_linear Pretrivialization.IsLinear namespace Pretrivialization variable (e : Pretrivialization F (π F E)) {x : TotalSpace F E} {b : B} {y : E b} theorem linear [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : IsLinearMap R fun x : E b => (e ⟨b, x⟩).2 := Pretrivialization.IsLinear.linear b hb #align pretrivialization.linear Pretrivialization.linear variable [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] @[simps!] protected def symmₗ (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : F →ₗ[R] E b := by refine IsLinearMap.mk' (e.symm b) ?_ by_cases hb : b ∈ e.baseSet · exact (((e.linear R hb).mk' _).inverse (e.symm b) (e.symm_apply_apply_mk hb) fun v ↦ congr_arg Prod.snd <| e.apply_mk_symm hb v).isLinear · rw [e.coe_symm_of_not_mem hb] exact (0 : F →ₗ[R] E b).isLinear #align pretrivialization.symmₗ Pretrivialization.symmₗ @[simps (config := .asFn)] def linearEquivAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) (hb : b ∈ e.baseSet) : E b ≃ₗ[R] F where toFun y := (e ⟨b, y⟩).2 invFun := e.symm b left_inv := e.symm_apply_apply_mk hb right_inv v := by simp_rw [e.apply_mk_symm hb v] map_add' v w := (e.linear R hb).map_add v w map_smul' c v := (e.linear R hb).map_smul c v #align pretrivialization.linear_equiv_at Pretrivialization.linearEquivAt protected def linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : E b →ₗ[R] F := if hb : b ∈ e.baseSet then e.linearEquivAt R b hb else 0 #align pretrivialization.linear_map_at Pretrivialization.linearMapAt variable {R} theorem coe_linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : ⇑(e.linearMapAt R b) = fun y => if b ∈ e.baseSet then (e ⟨b, y⟩).2 else 0 := by rw [Pretrivialization.linearMapAt] split_ifs <;> rfl #align pretrivialization.coe_linear_map_at Pretrivialization.coe_linearMapAt
Mathlib/Topology/VectorBundle/Basic.lean
126
128
theorem coe_linearMapAt_of_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : ⇑(e.linearMapAt R b) = fun y => (e ⟨b, y⟩).2 := by
simp_rw [coe_linearMapAt, if_pos hb]
true
import Mathlib.Analysis.Normed.Group.Basic import Mathlib.Topology.ContinuousFunction.CocompactMap open Filter Metric variable {𝕜 E F 𝓕 : Type*} variable [NormedAddCommGroup E] [NormedAddCommGroup F] [ProperSpace E] [ProperSpace F] variable {f : 𝓕} theorem CocompactMapClass.norm_le [FunLike 𝓕 E F] [CocompactMapClass 𝓕 E F] (ε : ℝ) : ∃ r : ℝ, ∀ x : E, r < ‖x‖ → ε < ‖f x‖ := by have h := cocompact_tendsto f rw [tendsto_def] at h specialize h (Metric.closedBall 0 ε)ᶜ (mem_cocompact_of_closedBall_compl_subset 0 ⟨ε, rfl.subset⟩) rcases closedBall_compl_subset_of_mem_cocompact h 0 with ⟨r, hr⟩ use r intro x hx suffices x ∈ f⁻¹' (Metric.closedBall 0 ε)ᶜ by aesop apply hr simp [hx]
Mathlib/Analysis/Normed/Group/CocompactMap.lean
41
53
theorem Filter.tendsto_cocompact_cocompact_of_norm {f : E → F} (h : ∀ ε : ℝ, ∃ r : ℝ, ∀ x : E, r < ‖x‖ → ε < ‖f x‖) : Tendsto f (cocompact E) (cocompact F) := by rw [tendsto_def]
rw [tendsto_def] intro s hs rcases closedBall_compl_subset_of_mem_cocompact hs 0 with ⟨ε, hε⟩ rcases h ε with ⟨r, hr⟩ apply mem_cocompact_of_closedBall_compl_subset 0 use r intro x hx simp only [Set.mem_compl_iff, Metric.mem_closedBall, dist_zero_right, not_le] at hx apply hε simp [hr x hx]
true
import Mathlib.Algebra.DirectSum.Module import Mathlib.Analysis.Complex.Basic import Mathlib.Analysis.Convex.Uniform import Mathlib.Analysis.NormedSpace.Completion import Mathlib.Analysis.NormedSpace.BoundedLinearMaps #align_import analysis.inner_product_space.basic from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" noncomputable section open RCLike Real Filter open Topology ComplexConjugate open LinearMap (BilinForm) variable {𝕜 E F : Type*} [RCLike 𝕜] class Inner (𝕜 E : Type*) where inner : E → E → 𝕜 #align has_inner Inner export Inner (inner) notation3:max "⟪" x ", " y "⟫_" 𝕜:max => @inner 𝕜 _ _ x y class InnerProductSpace (𝕜 : Type*) (E : Type*) [RCLike 𝕜] [NormedAddCommGroup E] extends NormedSpace 𝕜 E, Inner 𝕜 E where norm_sq_eq_inner : ∀ x : E, ‖x‖ ^ 2 = re (inner x x) conj_symm : ∀ x y, conj (inner y x) = inner x y add_left : ∀ x y z, inner (x + y) z = inner x z + inner y z smul_left : ∀ x y r, inner (r • x) y = conj r * inner x y #align inner_product_space InnerProductSpace -- @[nolint HasNonemptyInstance] porting note: I don't think we have this linter anymore structure InnerProductSpace.Core (𝕜 : Type*) (F : Type*) [RCLike 𝕜] [AddCommGroup F] [Module 𝕜 F] extends Inner 𝕜 F where conj_symm : ∀ x y, conj (inner y x) = inner x y nonneg_re : ∀ x, 0 ≤ re (inner x x) definite : ∀ x, inner x x = 0 → x = 0 add_left : ∀ x y z, inner (x + y) z = inner x z + inner y z smul_left : ∀ x y r, inner (r • x) y = conj r * inner x y #align inner_product_space.core InnerProductSpace.Core attribute [class] InnerProductSpace.Core def InnerProductSpace.toCore [NormedAddCommGroup E] [c : InnerProductSpace 𝕜 E] : InnerProductSpace.Core 𝕜 E := { c with nonneg_re := fun x => by rw [← InnerProductSpace.norm_sq_eq_inner] apply sq_nonneg definite := fun x hx => norm_eq_zero.1 <| pow_eq_zero (n := 2) <| by rw [InnerProductSpace.norm_sq_eq_inner (𝕜 := 𝕜) x, hx, map_zero] } #align inner_product_space.to_core InnerProductSpace.toCore namespace InnerProductSpace.Core variable [AddCommGroup F] [Module 𝕜 F] [c : InnerProductSpace.Core 𝕜 F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 F _ x y local notation "normSqK" => @RCLike.normSq 𝕜 _ local notation "reK" => @RCLike.re 𝕜 _ local notation "ext_iff" => @RCLike.ext_iff 𝕜 _ local postfix:90 "†" => starRingEnd _ def toInner' : Inner 𝕜 F := c.toInner #align inner_product_space.core.to_has_inner' InnerProductSpace.Core.toInner' attribute [local instance] toInner' def normSq (x : F) := reK ⟪x, x⟫ #align inner_product_space.core.norm_sq InnerProductSpace.Core.normSq local notation "normSqF" => @normSq 𝕜 F _ _ _ _ theorem inner_conj_symm (x y : F) : ⟪y, x⟫† = ⟪x, y⟫ := c.conj_symm x y #align inner_product_space.core.inner_conj_symm InnerProductSpace.Core.inner_conj_symm theorem inner_self_nonneg {x : F} : 0 ≤ re ⟪x, x⟫ := c.nonneg_re _ #align inner_product_space.core.inner_self_nonneg InnerProductSpace.Core.inner_self_nonneg theorem inner_self_im (x : F) : im ⟪x, x⟫ = 0 := by rw [← @ofReal_inj 𝕜, im_eq_conj_sub] simp [inner_conj_symm] #align inner_product_space.core.inner_self_im InnerProductSpace.Core.inner_self_im theorem inner_add_left (x y z : F) : ⟪x + y, z⟫ = ⟪x, z⟫ + ⟪y, z⟫ := c.add_left _ _ _ #align inner_product_space.core.inner_add_left InnerProductSpace.Core.inner_add_left
Mathlib/Analysis/InnerProductSpace/Basic.lean
220
221
theorem inner_add_right (x y z : F) : ⟪x, y + z⟫ = ⟪x, y⟫ + ⟪x, z⟫ := by
rw [← inner_conj_symm, inner_add_left, RingHom.map_add]; simp only [inner_conj_symm]
true
import Mathlib.LinearAlgebra.Dual import Mathlib.LinearAlgebra.Matrix.ToLin #align_import linear_algebra.contraction from "leanprover-community/mathlib"@"657df4339ae6ceada048c8a2980fb10e393143ec" suppress_compilation -- Porting note: universe metavariables behave oddly universe w u v₁ v₂ v₃ v₄ variable {ι : Type w} (R : Type u) (M : Type v₁) (N : Type v₂) (P : Type v₃) (Q : Type v₄) -- Porting note: we need high priority for this to fire first; not the case in ML3 attribute [local ext high] TensorProduct.ext section Contraction open TensorProduct LinearMap Matrix Module open TensorProduct section CommSemiring variable [CommSemiring R] variable [AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P] [AddCommMonoid Q] variable [Module R M] [Module R N] [Module R P] [Module R Q] variable [DecidableEq ι] [Fintype ι] (b : Basis ι R M) -- Porting note: doesn't like implicit ring in the tensor product def contractLeft : Module.Dual R M ⊗[R] M →ₗ[R] R := (uncurry _ _ _ _).toFun LinearMap.id #align contract_left contractLeft -- Porting note: doesn't like implicit ring in the tensor product def contractRight : M ⊗[R] Module.Dual R M →ₗ[R] R := (uncurry _ _ _ _).toFun (LinearMap.flip LinearMap.id) #align contract_right contractRight -- Porting note: doesn't like implicit ring in the tensor product def dualTensorHom : Module.Dual R M ⊗[R] N →ₗ[R] M →ₗ[R] N := let M' := Module.Dual R M (uncurry R M' N (M →ₗ[R] N) : _ → M' ⊗ N →ₗ[R] M →ₗ[R] N) LinearMap.smulRightₗ #align dual_tensor_hom dualTensorHom variable {R M N P Q} @[simp] theorem contractLeft_apply (f : Module.Dual R M) (m : M) : contractLeft R M (f ⊗ₜ m) = f m := rfl #align contract_left_apply contractLeft_apply @[simp] theorem contractRight_apply (f : Module.Dual R M) (m : M) : contractRight R M (m ⊗ₜ f) = f m := rfl #align contract_right_apply contractRight_apply @[simp] theorem dualTensorHom_apply (f : Module.Dual R M) (m : M) (n : N) : dualTensorHom R M N (f ⊗ₜ n) m = f m • n := rfl #align dual_tensor_hom_apply dualTensorHom_apply @[simp] theorem transpose_dualTensorHom (f : Module.Dual R M) (m : M) : Dual.transpose (R := R) (dualTensorHom R M M (f ⊗ₜ m)) = dualTensorHom R _ _ (Dual.eval R M m ⊗ₜ f) := by ext f' m' simp only [Dual.transpose_apply, coe_comp, Function.comp_apply, dualTensorHom_apply, LinearMap.map_smulₛₗ, RingHom.id_apply, Algebra.id.smul_eq_mul, Dual.eval_apply, LinearMap.smul_apply] exact mul_comm _ _ #align transpose_dual_tensor_hom transpose_dualTensorHom @[simp] theorem dualTensorHom_prodMap_zero (f : Module.Dual R M) (p : P) : ((dualTensorHom R M P) (f ⊗ₜ[R] p)).prodMap (0 : N →ₗ[R] Q) = dualTensorHom R (M × N) (P × Q) ((f ∘ₗ fst R M N) ⊗ₜ inl R P Q p) := by ext <;> simp only [coe_comp, coe_inl, Function.comp_apply, prodMap_apply, dualTensorHom_apply, fst_apply, Prod.smul_mk, LinearMap.zero_apply, smul_zero] #align dual_tensor_hom_prod_map_zero dualTensorHom_prodMap_zero @[simp] theorem zero_prodMap_dualTensorHom (g : Module.Dual R N) (q : Q) : (0 : M →ₗ[R] P).prodMap ((dualTensorHom R N Q) (g ⊗ₜ[R] q)) = dualTensorHom R (M × N) (P × Q) ((g ∘ₗ snd R M N) ⊗ₜ inr R P Q q) := by ext <;> simp only [coe_comp, coe_inr, Function.comp_apply, prodMap_apply, dualTensorHom_apply, snd_apply, Prod.smul_mk, LinearMap.zero_apply, smul_zero] #align zero_prod_map_dual_tensor_hom zero_prodMap_dualTensorHom theorem map_dualTensorHom (f : Module.Dual R M) (p : P) (g : Module.Dual R N) (q : Q) : TensorProduct.map (dualTensorHom R M P (f ⊗ₜ[R] p)) (dualTensorHom R N Q (g ⊗ₜ[R] q)) = dualTensorHom R (M ⊗[R] N) (P ⊗[R] Q) (dualDistrib R M N (f ⊗ₜ g) ⊗ₜ[R] p ⊗ₜ[R] q) := by ext m n simp only [compr₂_apply, mk_apply, map_tmul, dualTensorHom_apply, dualDistrib_apply, ← smul_tmul_smul] #align map_dual_tensor_hom map_dualTensorHom @[simp]
Mathlib/LinearAlgebra/Contraction.lean
122
128
theorem comp_dualTensorHom (f : Module.Dual R M) (n : N) (g : Module.Dual R N) (p : P) : dualTensorHom R N P (g ⊗ₜ[R] p) ∘ₗ dualTensorHom R M N (f ⊗ₜ[R] n) = g n • dualTensorHom R M P (f ⊗ₜ p) := by ext m
ext m simp only [coe_comp, Function.comp_apply, dualTensorHom_apply, LinearMap.map_smul, RingHom.id_apply, LinearMap.smul_apply] rw [smul_comm]
true
import Mathlib.AlgebraicTopology.SplitSimplicialObject import Mathlib.AlgebraicTopology.DoldKan.Degeneracies import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.split_simplicial_object from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Limits CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Idempotents Opposite AlgebraicTopology AlgebraicTopology.DoldKan Simplicial DoldKan namespace SimplicialObject namespace Splitting variable {C : Type*} [Category C] {X : SimplicialObject C} (s : Splitting X) noncomputable def πSummand [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : X.obj Δ ⟶ s.N A.1.unop.len := s.desc Δ (fun B => by by_cases h : B = A · exact eqToHom (by subst h; rfl) · exact 0) #align simplicial_object.splitting.π_summand SimplicialObject.Splitting.πSummand @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_id [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : (s.cofan Δ).inj A ≫ s.πSummand A = 𝟙 _ := by simp [πSummand] #align simplicial_object.splitting.ι_π_summand_eq_id SimplicialObject.Splitting.cofan_inj_πSummand_eq_id @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_zero [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A B : IndexSet Δ) (h : B ≠ A) : (s.cofan Δ).inj A ≫ s.πSummand B = 0 := by dsimp [πSummand] rw [ι_desc, dif_neg h.symm] #align simplicial_object.splitting.ι_π_summand_eq_zero SimplicialObject.Splitting.cofan_inj_πSummand_eq_zero variable [Preadditive C] theorem decomposition_id (Δ : SimplexCategoryᵒᵖ) : 𝟙 (X.obj Δ) = ∑ A : IndexSet Δ, s.πSummand A ≫ (s.cofan Δ).inj A := by apply s.hom_ext' intro A dsimp erw [comp_id, comp_sum, Finset.sum_eq_single A, cofan_inj_πSummand_eq_id_assoc] · intro B _ h₂ rw [s.cofan_inj_πSummand_eq_zero_assoc _ _ h₂, zero_comp] · simp #align simplicial_object.splitting.decomposition_id SimplicialObject.Splitting.decomposition_id @[reassoc (attr := simp)] theorem σ_comp_πSummand_id_eq_zero {n : ℕ} (i : Fin (n + 1)) : X.σ i ≫ s.πSummand (IndexSet.id (op [n + 1])) = 0 := by apply s.hom_ext' intro A dsimp only [SimplicialObject.σ] rw [comp_zero, s.cofan_inj_epi_naturality_assoc A (SimplexCategory.σ i).op, cofan_inj_πSummand_eq_zero] rw [ne_comm] change ¬(A.epiComp (SimplexCategory.σ i).op).EqId rw [IndexSet.eqId_iff_len_eq] have h := SimplexCategory.len_le_of_epi (inferInstance : Epi A.e) dsimp at h ⊢ omega #align simplicial_object.splitting.σ_comp_π_summand_id_eq_zero SimplicialObject.Splitting.σ_comp_πSummand_id_eq_zero
Mathlib/AlgebraicTopology/DoldKan/SplitSimplicialObject.lean
91
95
theorem cofan_inj_comp_PInfty_eq_zero {X : SimplicialObject C} (s : SimplicialObject.Splitting X) {n : ℕ} (A : SimplicialObject.Splitting.IndexSet (op [n])) (hA : ¬A.EqId) : (s.cofan _).inj A ≫ PInfty.f n = 0 := by rw [SimplicialObject.Splitting.IndexSet.eqId_iff_mono] at hA
rw [SimplicialObject.Splitting.IndexSet.eqId_iff_mono] at hA rw [SimplicialObject.Splitting.cofan_inj_eq, assoc, degeneracy_comp_PInfty X n A.e hA, comp_zero]
true
import Mathlib.Algebra.GCDMonoid.Multiset import Mathlib.Combinatorics.Enumerative.Partition import Mathlib.Data.List.Rotate import Mathlib.GroupTheory.Perm.Cycle.Factors import Mathlib.GroupTheory.Perm.Closure import Mathlib.Algebra.GCDMonoid.Nat import Mathlib.Tactic.NormNum.GCD #align_import group_theory.perm.cycle.type from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722" namespace Equiv.Perm open Equiv List Multiset variable {α : Type*} [Fintype α] section CycleType variable [DecidableEq α] def cycleType (σ : Perm α) : Multiset ℕ := σ.cycleFactorsFinset.1.map (Finset.card ∘ support) #align equiv.perm.cycle_type Equiv.Perm.cycleType theorem cycleType_def (σ : Perm α) : σ.cycleType = σ.cycleFactorsFinset.1.map (Finset.card ∘ support) := rfl #align equiv.perm.cycle_type_def Equiv.Perm.cycleType_def theorem cycleType_eq' {σ : Perm α} (s : Finset (Perm α)) (h1 : ∀ f : Perm α, f ∈ s → f.IsCycle) (h2 : (s : Set (Perm α)).Pairwise Disjoint) (h0 : s.noncommProd id (h2.imp fun _ _ => Disjoint.commute) = σ) : σ.cycleType = s.1.map (Finset.card ∘ support) := by rw [cycleType_def] congr rw [cycleFactorsFinset_eq_finset] exact ⟨h1, h2, h0⟩ #align equiv.perm.cycle_type_eq' Equiv.Perm.cycleType_eq'
Mathlib/GroupTheory/Perm/Cycle/Type.lean
67
75
theorem cycleType_eq {σ : Perm α} (l : List (Perm α)) (h0 : l.prod = σ) (h1 : ∀ σ : Perm α, σ ∈ l → σ.IsCycle) (h2 : l.Pairwise Disjoint) : σ.cycleType = l.map (Finset.card ∘ support) := by have hl : l.Nodup := nodup_of_pairwise_disjoint_cycles h1 h2
have hl : l.Nodup := nodup_of_pairwise_disjoint_cycles h1 h2 rw [cycleType_eq' l.toFinset] · simp [List.dedup_eq_self.mpr hl, (· ∘ ·)] · simpa using h1 · simpa [hl] using h2 · simp [hl, h0]
true
import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.inner_product_space.euclidean_dist from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" open scoped Topology open Set variable {E : Type*} [AddCommGroup E] [TopologicalSpace E] [TopologicalAddGroup E] [T2Space E] [Module ℝ E] [ContinuousSMul ℝ E] [FiniteDimensional ℝ E] noncomputable section open FiniteDimensional def toEuclidean : E ≃L[ℝ] EuclideanSpace ℝ (Fin <| finrank ℝ E) := ContinuousLinearEquiv.ofFinrankEq finrank_euclideanSpace_fin.symm #align to_euclidean toEuclidean namespace Euclidean nonrec def dist (x y : E) : ℝ := dist (toEuclidean x) (toEuclidean y) #align euclidean.dist Euclidean.dist def closedBall (x : E) (r : ℝ) : Set E := {y | dist y x ≤ r} #align euclidean.closed_ball Euclidean.closedBall def ball (x : E) (r : ℝ) : Set E := {y | dist y x < r} #align euclidean.ball Euclidean.ball theorem ball_eq_preimage (x : E) (r : ℝ) : ball x r = toEuclidean ⁻¹' Metric.ball (toEuclidean x) r := rfl #align euclidean.ball_eq_preimage Euclidean.ball_eq_preimage theorem closedBall_eq_preimage (x : E) (r : ℝ) : closedBall x r = toEuclidean ⁻¹' Metric.closedBall (toEuclidean x) r := rfl #align euclidean.closed_ball_eq_preimage Euclidean.closedBall_eq_preimage theorem ball_subset_closedBall {x : E} {r : ℝ} : ball x r ⊆ closedBall x r := fun _ (hy : _ < r) => le_of_lt hy #align euclidean.ball_subset_closed_ball Euclidean.ball_subset_closedBall theorem isOpen_ball {x : E} {r : ℝ} : IsOpen (ball x r) := Metric.isOpen_ball.preimage toEuclidean.continuous #align euclidean.is_open_ball Euclidean.isOpen_ball theorem mem_ball_self {x : E} {r : ℝ} (hr : 0 < r) : x ∈ ball x r := Metric.mem_ball_self hr #align euclidean.mem_ball_self Euclidean.mem_ball_self theorem closedBall_eq_image (x : E) (r : ℝ) : closedBall x r = toEuclidean.symm '' Metric.closedBall (toEuclidean x) r := by rw [toEuclidean.image_symm_eq_preimage, closedBall_eq_preimage] #align euclidean.closed_ball_eq_image Euclidean.closedBall_eq_image nonrec theorem isCompact_closedBall {x : E} {r : ℝ} : IsCompact (closedBall x r) := by rw [closedBall_eq_image] exact (isCompact_closedBall _ _).image toEuclidean.symm.continuous #align euclidean.is_compact_closed_ball Euclidean.isCompact_closedBall theorem isClosed_closedBall {x : E} {r : ℝ} : IsClosed (closedBall x r) := isCompact_closedBall.isClosed #align euclidean.is_closed_closed_ball Euclidean.isClosed_closedBall nonrec theorem closure_ball (x : E) {r : ℝ} (h : r ≠ 0) : closure (ball x r) = closedBall x r := by rw [ball_eq_preimage, ← toEuclidean.preimage_closure, closure_ball (toEuclidean x) h, closedBall_eq_preimage] #align euclidean.closure_ball Euclidean.closure_ball nonrec theorem exists_pos_lt_subset_ball {R : ℝ} {s : Set E} {x : E} (hR : 0 < R) (hs : IsClosed s) (h : s ⊆ ball x R) : ∃ r ∈ Ioo 0 R, s ⊆ ball x r := by rw [ball_eq_preimage, ← image_subset_iff] at h rcases exists_pos_lt_subset_ball hR (toEuclidean.isClosed_image.2 hs) h with ⟨r, hr, hsr⟩ exact ⟨r, hr, image_subset_iff.1 hsr⟩ #align euclidean.exists_pos_lt_subset_ball Euclidean.exists_pos_lt_subset_ball
Mathlib/Analysis/InnerProductSpace/EuclideanDist.lean
108
110
theorem nhds_basis_closedBall {x : E} : (𝓝 x).HasBasis (fun r : ℝ => 0 < r) (closedBall x) := by rw [toEuclidean.toHomeomorph.nhds_eq_comap x]
rw [toEuclidean.toHomeomorph.nhds_eq_comap x] exact Metric.nhds_basis_closedBall.comap _
true
import Mathlib.Algebra.Field.Defs import Mathlib.Algebra.GroupWithZero.Units.Lemmas import Mathlib.Algebra.Ring.Commute import Mathlib.Algebra.Ring.Invertible import Mathlib.Order.Synonym #align_import algebra.field.basic from "leanprover-community/mathlib"@"05101c3df9d9cfe9430edc205860c79b6d660102" open Function OrderDual Set universe u variable {α β K : Type*} section DivisionMonoid variable [DivisionMonoid K] [HasDistribNeg K] {a b : K} theorem one_div_neg_one_eq_neg_one : (1 : K) / -1 = -1 := have : -1 * -1 = (1 : K) := by rw [neg_mul_neg, one_mul] Eq.symm (eq_one_div_of_mul_eq_one_right this) #align one_div_neg_one_eq_neg_one one_div_neg_one_eq_neg_one theorem one_div_neg_eq_neg_one_div (a : K) : 1 / -a = -(1 / a) := calc 1 / -a = 1 / (-1 * a) := by rw [neg_eq_neg_one_mul] _ = 1 / a * (1 / -1) := by rw [one_div_mul_one_div_rev] _ = 1 / a * -1 := by rw [one_div_neg_one_eq_neg_one] _ = -(1 / a) := by rw [mul_neg, mul_one] #align one_div_neg_eq_neg_one_div one_div_neg_eq_neg_one_div theorem div_neg_eq_neg_div (a b : K) : b / -a = -(b / a) := calc b / -a = b * (1 / -a) := by rw [← inv_eq_one_div, division_def] _ = b * -(1 / a) := by rw [one_div_neg_eq_neg_one_div] _ = -(b * (1 / a)) := by rw [neg_mul_eq_mul_neg] _ = -(b / a) := by rw [mul_one_div] #align div_neg_eq_neg_div div_neg_eq_neg_div theorem neg_div (a b : K) : -b / a = -(b / a) := by rw [neg_eq_neg_one_mul, mul_div_assoc, ← neg_eq_neg_one_mul] #align neg_div neg_div @[field_simps] theorem neg_div' (a b : K) : -(b / a) = -b / a := by simp [neg_div] #align neg_div' neg_div' @[simp] theorem neg_div_neg_eq (a b : K) : -a / -b = a / b := by rw [div_neg_eq_neg_div, neg_div, neg_neg] #align neg_div_neg_eq neg_div_neg_eq
Mathlib/Algebra/Field/Basic.lean
129
129
theorem neg_inv : -a⁻¹ = (-a)⁻¹ := by
rw [inv_eq_one_div, inv_eq_one_div, div_neg_eq_neg_div]
true
import Mathlib.Algebra.BigOperators.Finprod import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Topology.ContinuousFunction.Algebra import Mathlib.Topology.Compactness.Paracompact import Mathlib.Topology.ShrinkingLemma import Mathlib.Topology.UrysohnsLemma #align_import topology.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Function Set Filter open scoped Classical open Topology noncomputable section structure PartitionOfUnity (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where toFun : ι → C(X, ℝ) locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : 0 ≤ toFun sum_eq_one' : ∀ x ∈ s, ∑ᶠ i, toFun i x = 1 sum_le_one' : ∀ x, ∑ᶠ i, toFun i x ≤ 1 #align partition_of_unity PartitionOfUnity structure BumpCovering (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where toFun : ι → C(X, ℝ) locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : 0 ≤ toFun le_one' : toFun ≤ 1 eventuallyEq_one' : ∀ x ∈ s, ∃ i, toFun i =ᶠ[𝓝 x] 1 #align bump_covering BumpCovering variable {ι : Type u} {X : Type v} [TopologicalSpace X] namespace PartitionOfUnity variable {E : Type*} [AddCommMonoid E] [SMulWithZero ℝ E] [TopologicalSpace E] [ContinuousSMul ℝ E] {s : Set X} (f : PartitionOfUnity ι X s) instance : FunLike (PartitionOfUnity ι X s) ι C(X, ℝ) where coe := toFun coe_injective' := fun f g h ↦ by cases f; cases g; congr protected theorem locallyFinite : LocallyFinite fun i => support (f i) := f.locallyFinite' #align partition_of_unity.locally_finite PartitionOfUnity.locallyFinite theorem locallyFinite_tsupport : LocallyFinite fun i => tsupport (f i) := f.locallyFinite.closure #align partition_of_unity.locally_finite_tsupport PartitionOfUnity.locallyFinite_tsupport theorem nonneg (i : ι) (x : X) : 0 ≤ f i x := f.nonneg' i x #align partition_of_unity.nonneg PartitionOfUnity.nonneg theorem sum_eq_one {x : X} (hx : x ∈ s) : ∑ᶠ i, f i x = 1 := f.sum_eq_one' x hx #align partition_of_unity.sum_eq_one PartitionOfUnity.sum_eq_one theorem exists_pos {x : X} (hx : x ∈ s) : ∃ i, 0 < f i x := by have H := f.sum_eq_one hx contrapose! H simpa only [fun i => (H i).antisymm (f.nonneg i x), finsum_zero] using zero_ne_one #align partition_of_unity.exists_pos PartitionOfUnity.exists_pos theorem sum_le_one (x : X) : ∑ᶠ i, f i x ≤ 1 := f.sum_le_one' x #align partition_of_unity.sum_le_one PartitionOfUnity.sum_le_one theorem sum_nonneg (x : X) : 0 ≤ ∑ᶠ i, f i x := finsum_nonneg fun i => f.nonneg i x #align partition_of_unity.sum_nonneg PartitionOfUnity.sum_nonneg theorem le_one (i : ι) (x : X) : f i x ≤ 1 := (single_le_finsum i (f.locallyFinite.point_finite x) fun j => f.nonneg j x).trans (f.sum_le_one x) #align partition_of_unity.le_one PartitionOfUnity.le_one section finsupport variable {s : Set X} (ρ : PartitionOfUnity ι X s) (x₀ : X) def finsupport : Finset ι := (ρ.locallyFinite.point_finite x₀).toFinset @[simp]
Mathlib/Topology/PartitionOfUnity.lean
188
190
theorem mem_finsupport (x₀ : X) {i} : i ∈ ρ.finsupport x₀ ↔ i ∈ support fun i ↦ ρ i x₀ := by
simp only [finsupport, mem_support, Finite.mem_toFinset, mem_setOf_eq]
true
import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Localization.AtPrime import Mathlib.RingTheory.Localization.Integral #align_import ring_theory.ideal.over from "leanprover-community/mathlib"@"198cb64d5c961e1a8d0d3e219feb7058d5353861" variable {R : Type*} [CommRing R] namespace Ideal open Polynomial open Polynomial open Submodule section CommRing variable {S : Type*} [CommRing S] {f : R →+* S} {I J : Ideal S} theorem coeff_zero_mem_comap_of_root_mem_of_eval_mem {r : S} (hr : r ∈ I) {p : R[X]} (hp : p.eval₂ f r ∈ I) : p.coeff 0 ∈ I.comap f := by rw [← p.divX_mul_X_add, eval₂_add, eval₂_C, eval₂_mul, eval₂_X] at hp refine mem_comap.mpr ((I.add_mem_iff_right ?_).mp hp) exact I.mul_mem_left _ hr #align ideal.coeff_zero_mem_comap_of_root_mem_of_eval_mem Ideal.coeff_zero_mem_comap_of_root_mem_of_eval_mem theorem coeff_zero_mem_comap_of_root_mem {r : S} (hr : r ∈ I) {p : R[X]} (hp : p.eval₂ f r = 0) : p.coeff 0 ∈ I.comap f := coeff_zero_mem_comap_of_root_mem_of_eval_mem hr (hp.symm ▸ I.zero_mem) #align ideal.coeff_zero_mem_comap_of_root_mem Ideal.coeff_zero_mem_comap_of_root_mem theorem exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem {r : S} (r_non_zero_divisor : ∀ {x}, x * r = 0 → x = 0) (hr : r ∈ I) {p : R[X]} : p ≠ 0 → p.eval₂ f r = 0 → ∃ i, p.coeff i ≠ 0 ∧ p.coeff i ∈ I.comap f := by refine p.recOnHorner ?_ ?_ ?_ · intro h contradiction · intro p a coeff_eq_zero a_ne_zero _ _ hp refine ⟨0, ?_, coeff_zero_mem_comap_of_root_mem hr hp⟩ simp [coeff_eq_zero, a_ne_zero] · intro p p_nonzero ih _ hp rw [eval₂_mul, eval₂_X] at hp obtain ⟨i, hi, mem⟩ := ih p_nonzero (r_non_zero_divisor hp) refine ⟨i + 1, ?_, ?_⟩ · simp [hi, mem] · simpa [hi] using mem #align ideal.exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem Ideal.exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem theorem injective_quotient_le_comap_map (P : Ideal R[X]) : Function.Injective <| Ideal.quotientMap (Ideal.map (Polynomial.mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) P) (Polynomial.mapRingHom (Ideal.Quotient.mk (P.comap (C : R →+* R[X])))) le_comap_map := by refine quotientMap_injective' (le_of_eq ?_) rw [comap_map_of_surjective (mapRingHom (Ideal.Quotient.mk (P.comap (C : R →+* R[X])))) (map_surjective (Ideal.Quotient.mk (P.comap (C : R →+* R[X]))) Ideal.Quotient.mk_surjective)] refine le_antisymm (sup_le le_rfl ?_) (le_sup_of_le_left le_rfl) refine fun p hp => polynomial_mem_ideal_of_coeff_mem_ideal P p fun n => Ideal.Quotient.eq_zero_iff_mem.mp ?_ simpa only [coeff_map, coe_mapRingHom] using ext_iff.mp (Ideal.mem_bot.mp (mem_comap.mp hp)) n #align ideal.injective_quotient_le_comap_map Ideal.injective_quotient_le_comap_map
Mathlib/RingTheory/Ideal/Over.lean
101
109
theorem quotient_mk_maps_eq (P : Ideal R[X]) : ((Quotient.mk (map (mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) P)).comp C).comp (Quotient.mk (P.comap (C : R →+* R[X]))) = (Ideal.quotientMap (map (mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) P) (mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) le_comap_map).comp ((Quotient.mk P).comp C) := by refine RingHom.ext fun x => ?_
refine RingHom.ext fun x => ?_ repeat' rw [RingHom.coe_comp, Function.comp_apply] rw [quotientMap_mk, coe_mapRingHom, map_C]
true
import Mathlib.CategoryTheory.Monoidal.Mon_ #align_import category_theory.monoidal.Mod_ from "leanprover-community/mathlib"@"33085c9739c41428651ac461a323fde9a2688d9b" universe v₁ v₂ u₁ u₂ open CategoryTheory MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] variable {C} structure Mod_ (A : Mon_ C) where X : C act : A.X ⊗ X ⟶ X one_act : (A.one ▷ X) ≫ act = (λ_ X).hom := by aesop_cat assoc : (A.mul ▷ X) ≫ act = (α_ A.X A.X X).hom ≫ (A.X ◁ act) ≫ act := by aesop_cat set_option linter.uppercaseLean3 false in #align Mod_ Mod_ attribute [reassoc (attr := simp)] Mod_.one_act Mod_.assoc namespace Mod_ variable {A : Mon_ C} (M : Mod_ A) theorem assoc_flip : (A.X ◁ M.act) ≫ M.act = (α_ A.X A.X M.X).inv ≫ (A.mul ▷ M.X) ≫ M.act := by simp set_option linter.uppercaseLean3 false in #align Mod_.assoc_flip Mod_.assoc_flip @[ext] structure Hom (M N : Mod_ A) where hom : M.X ⟶ N.X act_hom : M.act ≫ hom = (A.X ◁ hom) ≫ N.act := by aesop_cat set_option linter.uppercaseLean3 false in #align Mod_.hom Mod_.Hom attribute [reassoc (attr := simp)] Hom.act_hom @[simps] def id (M : Mod_ A) : Hom M M where hom := 𝟙 M.X set_option linter.uppercaseLean3 false in #align Mod_.id Mod_.id instance homInhabited (M : Mod_ A) : Inhabited (Hom M M) := ⟨id M⟩ set_option linter.uppercaseLean3 false in #align Mod_.hom_inhabited Mod_.homInhabited @[simps] def comp {M N O : Mod_ A} (f : Hom M N) (g : Hom N O) : Hom M O where hom := f.hom ≫ g.hom set_option linter.uppercaseLean3 false in #align Mod_.comp Mod_.comp instance : Category (Mod_ A) where Hom M N := Hom M N id := id comp f g := comp f g -- Porting note: added because `Hom.ext` is not triggered automatically -- See https://github.com/leanprover-community/mathlib4/issues/5229 @[ext] lemma hom_ext {M N : Mod_ A} (f₁ f₂ : M ⟶ N) (h : f₁.hom = f₂.hom) : f₁ = f₂ := Hom.ext _ _ h @[simp]
Mathlib/CategoryTheory/Monoidal/Mod_.lean
81
82
theorem id_hom' (M : Mod_ A) : (𝟙 M : M ⟶ M).hom = 𝟙 M.X := by
rfl
true
import Mathlib.Algebra.GradedMonoid import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Algebra.MvPolynomial.Basic #align_import ring_theory.mv_polynomial.weighted_homogeneous from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Set Function Finset Finsupp AddMonoidAlgebra variable {R M : Type*} [CommSemiring R] namespace MvPolynomial variable {σ : Type*} section AddCommMonoid variable [AddCommMonoid M] def weightedDegree (w : σ → M) : (σ →₀ ℕ) →+ M := (Finsupp.total σ M ℕ w).toAddMonoidHom #align mv_polynomial.weighted_degree' MvPolynomial.weightedDegree theorem weightedDegree_apply (w : σ → M) (f : σ →₀ ℕ): weightedDegree w f = Finsupp.sum f (fun i c => c • w i) := by rfl section SemilatticeSup variable [SemilatticeSup M] def weightedTotalDegree' (w : σ → M) (p : MvPolynomial σ R) : WithBot M := p.support.sup fun s => weightedDegree w s #align mv_polynomial.weighted_total_degree' MvPolynomial.weightedTotalDegree' theorem weightedTotalDegree'_eq_bot_iff (w : σ → M) (p : MvPolynomial σ R) : weightedTotalDegree' w p = ⊥ ↔ p = 0 := by simp only [weightedTotalDegree', Finset.sup_eq_bot_iff, mem_support_iff, WithBot.coe_ne_bot, MvPolynomial.eq_zero_iff] exact forall_congr' fun _ => Classical.not_not #align mv_polynomial.weighted_total_degree'_eq_bot_iff MvPolynomial.weightedTotalDegree'_eq_bot_iff theorem weightedTotalDegree'_zero (w : σ → M) : weightedTotalDegree' w (0 : MvPolynomial σ R) = ⊥ := by simp only [weightedTotalDegree', support_zero, Finset.sup_empty] #align mv_polynomial.weighted_total_degree'_zero MvPolynomial.weightedTotalDegree'_zero section OrderBot variable [OrderBot M] def weightedTotalDegree (w : σ → M) (p : MvPolynomial σ R) : M := p.support.sup fun s => weightedDegree w s #align mv_polynomial.weighted_total_degree MvPolynomial.weightedTotalDegree
Mathlib/RingTheory/MvPolynomial/WeightedHomogeneous.lean
105
116
theorem weightedTotalDegree_coe (w : σ → M) (p : MvPolynomial σ R) (hp : p ≠ 0) : weightedTotalDegree' w p = ↑(weightedTotalDegree w p) := by rw [Ne, ← weightedTotalDegree'_eq_bot_iff w p, ← Ne, WithBot.ne_bot_iff_exists] at hp
rw [Ne, ← weightedTotalDegree'_eq_bot_iff w p, ← Ne, WithBot.ne_bot_iff_exists] at hp obtain ⟨m, hm⟩ := hp apply le_antisymm · simp only [weightedTotalDegree, weightedTotalDegree', Finset.sup_le_iff, WithBot.coe_le_coe] intro b exact Finset.le_sup · simp only [weightedTotalDegree] have hm' : weightedTotalDegree' w p ≤ m := le_of_eq hm.symm rw [← hm] simpa [weightedTotalDegree'] using hm'
true
import Mathlib.Order.Filter.Bases import Mathlib.Order.ConditionallyCompleteLattice.Basic #align_import order.filter.lift from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Set Classical Filter Function namespace Filter variable {α β γ : Type*} {ι : Sort*} section lift protected def lift (f : Filter α) (g : Set α → Filter β) := ⨅ s ∈ f, g s #align filter.lift Filter.lift variable {f f₁ f₂ : Filter α} {g g₁ g₂ : Set α → Filter β} @[simp] theorem lift_top (g : Set α → Filter β) : (⊤ : Filter α).lift g = g univ := by simp [Filter.lift] #align filter.lift_top Filter.lift_top -- Porting note: use `∃ i, p i ∧ _` instead of `∃ i (hi : p i), _` theorem HasBasis.mem_lift_iff {ι} {p : ι → Prop} {s : ι → Set α} {f : Filter α} (hf : f.HasBasis p s) {β : ι → Type*} {pg : ∀ i, β i → Prop} {sg : ∀ i, β i → Set γ} {g : Set α → Filter γ} (hg : ∀ i, (g <| s i).HasBasis (pg i) (sg i)) (gm : Monotone g) {s : Set γ} : s ∈ f.lift g ↔ ∃ i, p i ∧ ∃ x, pg i x ∧ sg i x ⊆ s := by refine (mem_biInf_of_directed ?_ ⟨univ, univ_sets _⟩).trans ?_ · intro t₁ ht₁ t₂ ht₂ exact ⟨t₁ ∩ t₂, inter_mem ht₁ ht₂, gm inter_subset_left, gm inter_subset_right⟩ · simp only [← (hg _).mem_iff] exact hf.exists_iff fun t₁ t₂ ht H => gm ht H #align filter.has_basis.mem_lift_iff Filter.HasBasis.mem_lift_iffₓ theorem HasBasis.lift {ι} {p : ι → Prop} {s : ι → Set α} {f : Filter α} (hf : f.HasBasis p s) {β : ι → Type*} {pg : ∀ i, β i → Prop} {sg : ∀ i, β i → Set γ} {g : Set α → Filter γ} (hg : ∀ i, (g (s i)).HasBasis (pg i) (sg i)) (gm : Monotone g) : (f.lift g).HasBasis (fun i : Σi, β i => p i.1 ∧ pg i.1 i.2) fun i : Σi, β i => sg i.1 i.2 := by refine ⟨fun t => (hf.mem_lift_iff hg gm).trans ?_⟩ simp [Sigma.exists, and_assoc, exists_and_left] #align filter.has_basis.lift Filter.HasBasis.lift theorem mem_lift_sets (hg : Monotone g) {s : Set β} : s ∈ f.lift g ↔ ∃ t ∈ f, s ∈ g t := (f.basis_sets.mem_lift_iff (fun s => (g s).basis_sets) hg).trans <| by simp only [id, exists_mem_subset_iff] #align filter.mem_lift_sets Filter.mem_lift_sets theorem sInter_lift_sets (hg : Monotone g) : ⋂₀ { s | s ∈ f.lift g } = ⋂ s ∈ f, ⋂₀ { t | t ∈ g s } := by simp only [sInter_eq_biInter, mem_setOf_eq, Filter.mem_sets, mem_lift_sets hg, iInter_exists, iInter_and, @iInter_comm _ (Set β)] #align filter.sInter_lift_sets Filter.sInter_lift_sets theorem mem_lift {s : Set β} {t : Set α} (ht : t ∈ f) (hs : s ∈ g t) : s ∈ f.lift g := le_principal_iff.mp <| show f.lift g ≤ 𝓟 s from iInf_le_of_le t <| iInf_le_of_le ht <| le_principal_iff.mpr hs #align filter.mem_lift Filter.mem_lift theorem lift_le {f : Filter α} {g : Set α → Filter β} {h : Filter β} {s : Set α} (hs : s ∈ f) (hg : g s ≤ h) : f.lift g ≤ h := iInf₂_le_of_le s hs hg #align filter.lift_le Filter.lift_le theorem le_lift {f : Filter α} {g : Set α → Filter β} {h : Filter β} : h ≤ f.lift g ↔ ∀ s ∈ f, h ≤ g s := le_iInf₂_iff #align filter.le_lift Filter.le_lift theorem lift_mono (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : f₁.lift g₁ ≤ f₂.lift g₂ := iInf_mono fun s => iInf_mono' fun hs => ⟨hf hs, hg s⟩ #align filter.lift_mono Filter.lift_mono theorem lift_mono' (hg : ∀ s ∈ f, g₁ s ≤ g₂ s) : f.lift g₁ ≤ f.lift g₂ := iInf₂_mono hg #align filter.lift_mono' Filter.lift_mono'
Mathlib/Order/Filter/Lift.lean
106
108
theorem tendsto_lift {m : γ → β} {l : Filter γ} : Tendsto m l (f.lift g) ↔ ∀ s ∈ f, Tendsto m l (g s) := by
simp only [Filter.lift, tendsto_iInf]
true
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Bits import Mathlib.Data.Nat.Log import Mathlib.Data.List.Indexes import Mathlib.Data.List.Palindrome import Mathlib.Tactic.IntervalCases import Mathlib.Tactic.Linarith import Mathlib.Tactic.Ring #align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace Nat variable {n : ℕ} def digitsAux0 : ℕ → List ℕ | 0 => [] | n + 1 => [n + 1] #align nat.digits_aux_0 Nat.digitsAux0 def digitsAux1 (n : ℕ) : List ℕ := List.replicate n 1 #align nat.digits_aux_1 Nat.digitsAux1 def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ | 0 => [] | n + 1 => ((n + 1) % b) :: digitsAux b h ((n + 1) / b) decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h #align nat.digits_aux Nat.digitsAux @[simp] theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux] #align nat.digits_aux_zero Nat.digitsAux_zero theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) : digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by cases n · cases w · rw [digitsAux] #align nat.digits_aux_def Nat.digitsAux_def def digits : ℕ → ℕ → List ℕ | 0 => digitsAux0 | 1 => digitsAux1 | b + 2 => digitsAux (b + 2) (by norm_num) #align nat.digits Nat.digits @[simp] theorem digits_zero (b : ℕ) : digits b 0 = [] := by rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1] #align nat.digits_zero Nat.digits_zero -- @[simp] -- Porting note (#10618): simp can prove this theorem digits_zero_zero : digits 0 0 = [] := rfl #align nat.digits_zero_zero Nat.digits_zero_zero @[simp] theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] := rfl #align nat.digits_zero_succ Nat.digits_zero_succ theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n] | 0, h => (h rfl).elim | _ + 1, _ => rfl #align nat.digits_zero_succ' Nat.digits_zero_succ' @[simp] theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 := rfl #align nat.digits_one Nat.digits_one -- @[simp] -- Porting note (#10685): dsimp can prove this theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n := rfl #align nat.digits_one_succ Nat.digits_one_succ
Mathlib/Data/Nat/Digits.lean
119
121
theorem digits_add_two_add_one (b n : ℕ) : digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by
simp [digits, digitsAux_def]
true
import Mathlib.CategoryTheory.EffectiveEpi.Basic namespace CategoryTheory open Limits Category variable {C : Type*} [Category C] noncomputable def effectiveEpiFamilyStructCompOfEffectiveEpiSplitEpi' {α : Type*} {B : C} {X Y : α → C} (f : (a : α) → X a ⟶ B) (g : (a : α) → Y a ⟶ X a) (i : (a : α) → X a ⟶ Y a) (hi : ∀ a, i a ≫ g a = 𝟙 _) [EffectiveEpiFamily _ f] : EffectiveEpiFamilyStruct _ (fun a ↦ g a ≫ f a) where desc e w := EffectiveEpiFamily.desc _ f (fun a ↦ i a ≫ e a) fun a₁ a₂ g₁ g₂ _ ↦ (by simp only [← Category.assoc] apply w _ _ (g₁ ≫ i a₁) (g₂ ≫ i a₂) simpa [← Category.assoc, Category.assoc, hi]) fac e w a := by simp only [Category.assoc, EffectiveEpiFamily.fac] rw [← Category.id_comp (e a), ← Category.assoc, ← Category.assoc] apply w simp only [Category.comp_id, Category.id_comp, ← Category.assoc] aesop uniq _ _ _ hm := by apply EffectiveEpiFamily.uniq _ f intro a rw [← hm a, ← Category.assoc, ← Category.assoc, hi, Category.id_comp] noncomputable def effectiveEpiFamilyStructCompOfEffectiveEpiSplitEpi {α : Type*} {B : C} {X Y : α → C} (f : (a : α) → X a ⟶ B) (g : (a : α) → Y a ⟶ X a) [∀ a, IsSplitEpi (g a)] [EffectiveEpiFamily _ f] : EffectiveEpiFamilyStruct _ (fun a ↦ g a ≫ f a) := effectiveEpiFamilyStructCompOfEffectiveEpiSplitEpi' f g (fun a ↦ section_ (g a)) (fun a ↦ IsSplitEpi.id (g a)) instance {α : Type*} {B : C} {X Y : α → C} (f : (a : α) → X a ⟶ B) (g : (a : α) → Y a ⟶ X a) [∀ a, IsSplitEpi (g a)] [EffectiveEpiFamily _ f] : EffectiveEpiFamily _ (fun a ↦ g a ≫ f a) := ⟨⟨effectiveEpiFamilyStructCompOfEffectiveEpiSplitEpi f g⟩⟩ example {B X Y : C} (f : X ⟶ B) (g : Y ⟶ X) [IsSplitEpi g] [EffectiveEpi f] : EffectiveEpi (g ≫ f) := inferInstance instance IsSplitEpi.EffectiveEpi {B X : C} (f : X ⟶ B) [IsSplitEpi f] : EffectiveEpi f := by rw [← Category.comp_id f] infer_instance noncomputable def effectiveEpiFamilyStructOfComp {C : Type*} [Category C] {I : Type*} {Z Y : I → C} {X : C} (g : ∀ i, Z i ⟶ Y i) (f : ∀ i, Y i ⟶ X) [EffectiveEpiFamily _ (fun i => g i ≫ f i)] [∀ i, Epi (g i)] : EffectiveEpiFamilyStruct _ f where desc {W} φ h := EffectiveEpiFamily.desc _ (fun i => g i ≫ f i) (fun i => g i ≫ φ i) (fun {T} i₁ i₂ g₁ g₂ eq => by simpa [assoc] using h i₁ i₂ (g₁ ≫ g i₁) (g₂ ≫ g i₂) (by simpa [assoc] using eq)) fac {W} φ h i := by dsimp rw [← cancel_epi (g i), ← assoc, EffectiveEpiFamily.fac _ (fun i => g i ≫ f i)] uniq {W} φ h m hm := EffectiveEpiFamily.uniq _ (fun i => g i ≫ f i) _ _ _ (fun i => by rw [assoc, hm]) lemma effectiveEpiFamily_of_effectiveEpi_epi_comp {α : Type*} {B : C} {X Y : α → C} (f : (a : α) → X a ⟶ B) (g : (a : α) → Y a ⟶ X a) [∀ a, Epi (g a)] [EffectiveEpiFamily _ (fun a ↦ g a ≫ f a)] : EffectiveEpiFamily _ f := ⟨⟨effectiveEpiFamilyStructOfComp g f⟩⟩ lemma effectiveEpi_of_effectiveEpi_epi_comp {B X Y : C} (f : X ⟶ B) (g : Y ⟶ X) [Epi g] [EffectiveEpi (g ≫ f)] : EffectiveEpi f := have := (effectiveEpi_iff_effectiveEpiFamily (g ≫ f)).mp inferInstance have := effectiveEpiFamily_of_effectiveEpi_epi_comp (X := fun () ↦ X) (Y := fun () ↦ Y) (fun () ↦ f) (fun () ↦ g) inferInstance section CompIso variable {B B' : C} {α : Type*} (X : α → C) (π : (a : α) → (X a ⟶ B)) [EffectiveEpiFamily X π] (i : B ⟶ B') [IsIso i]
Mathlib/CategoryTheory/EffectiveEpi/Comp.lean
104
112
theorem effectiveEpiFamilyStructCompIso_aux {W : C} (e : (a : α) → X a ⟶ W) (h : ∀ {Z : C} (a₁ a₂ : α) (g₁ : Z ⟶ X a₁) (g₂ : Z ⟶ X a₂), g₁ ≫ π a₁ ≫ i = g₂ ≫ π a₂ ≫ i → g₁ ≫ e a₁ = g₂ ≫ e a₂) {Z : C} (a₁ a₂ : α) (g₁ : Z ⟶ X a₁) (g₂ : Z ⟶ X a₂) (hg : g₁ ≫ π a₁ = g₂ ≫ π a₂) : g₁ ≫ e a₁ = g₂ ≫ e a₂ := by apply h
apply h rw [← Category.assoc, hg] simp
true
import Mathlib.RingTheory.Noetherian import Mathlib.Algebra.DirectSum.Module import Mathlib.Algebra.DirectSum.Finsupp import Mathlib.Algebra.Module.Projective import Mathlib.Algebra.Module.Injective import Mathlib.Algebra.Module.CharacterModule import Mathlib.LinearAlgebra.DirectSum.TensorProduct import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.Algebra.Module.Projective #align_import ring_theory.flat from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c" universe u v w namespace Module open Function (Surjective) open LinearMap Submodule TensorProduct DirectSum variable (R : Type u) (M : Type v) [CommRing R] [AddCommGroup M] [Module R M] @[mk_iff] class Flat : Prop where out : ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (TensorProduct.lift ((lsmul R M).comp I.subtype)) #align module.flat Module.Flat namespace Flat instance self (R : Type u) [CommRing R] : Flat R R := ⟨by intro I _ rw [← Equiv.injective_comp (TensorProduct.rid R I).symm.toEquiv] convert Subtype.coe_injective using 1 ext x simp only [Function.comp_apply, LinearEquiv.coe_toEquiv, rid_symm_apply, comp_apply, mul_one, lift.tmul, Submodule.subtype_apply, Algebra.id.smul_eq_mul, lsmul_apply]⟩ #align module.flat.self Module.Flat.self lemma iff_rTensor_injective : Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (rTensor M I.subtype) := by simp [flat_iff, ← lid_comp_rTensor]
Mathlib/RingTheory/Flat/Basic.lean
98
106
theorem iff_rTensor_injective' : Flat R M ↔ ∀ I : Ideal R, Function.Injective (rTensor M I.subtype) := by rewrite [Flat.iff_rTensor_injective]
rewrite [Flat.iff_rTensor_injective] refine ⟨fun h I => ?_, fun h I _ => h I⟩ rewrite [injective_iff_map_eq_zero] intro x hx₀ obtain ⟨J, hfg, hle, y, rfl⟩ := Submodule.exists_fg_le_eq_rTensor_inclusion x rewrite [← rTensor_comp_apply] at hx₀ rw [(injective_iff_map_eq_zero _).mp (h hfg) y hx₀, LinearMap.map_zero]
true
import Mathlib.Topology.Order #align_import topology.maps from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d" open Set Filter Function open TopologicalSpace Topology Filter variable {X : Type*} {Y : Type*} {Z : Type*} {ι : Type*} {f : X → Y} {g : Y → Z} section Inducing variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] theorem inducing_induced (f : X → Y) : @Inducing X Y (TopologicalSpace.induced f ‹_›) _ f := @Inducing.mk _ _ (TopologicalSpace.induced f ‹_›) _ _ rfl theorem inducing_id : Inducing (@id X) := ⟨induced_id.symm⟩ #align inducing_id inducing_id protected theorem Inducing.comp (hg : Inducing g) (hf : Inducing f) : Inducing (g ∘ f) := ⟨by rw [hf.induced, hg.induced, induced_compose]⟩ #align inducing.comp Inducing.comp theorem Inducing.of_comp_iff (hg : Inducing g) : Inducing (g ∘ f) ↔ Inducing f := by refine ⟨fun h ↦ ?_, hg.comp⟩ rw [inducing_iff, hg.induced, induced_compose, h.induced] #align inducing.inducing_iff Inducing.of_comp_iff theorem inducing_of_inducing_compose (hf : Continuous f) (hg : Continuous g) (hgf : Inducing (g ∘ f)) : Inducing f := ⟨le_antisymm (by rwa [← continuous_iff_le_induced]) (by rw [hgf.induced, ← induced_compose] exact induced_mono hg.le_induced)⟩ #align inducing_of_inducing_compose inducing_of_inducing_compose theorem inducing_iff_nhds : Inducing f ↔ ∀ x, 𝓝 x = comap f (𝓝 (f x)) := (inducing_iff _).trans (induced_iff_nhds_eq f) #align inducing_iff_nhds inducing_iff_nhds namespace Inducing theorem nhds_eq_comap (hf : Inducing f) : ∀ x : X, 𝓝 x = comap f (𝓝 <| f x) := inducing_iff_nhds.1 hf #align inducing.nhds_eq_comap Inducing.nhds_eq_comap theorem basis_nhds {p : ι → Prop} {s : ι → Set Y} (hf : Inducing f) {x : X} (h_basis : (𝓝 (f x)).HasBasis p s) : (𝓝 x).HasBasis p (preimage f ∘ s) := hf.nhds_eq_comap x ▸ h_basis.comap f theorem nhdsSet_eq_comap (hf : Inducing f) (s : Set X) : 𝓝ˢ s = comap f (𝓝ˢ (f '' s)) := by simp only [nhdsSet, sSup_image, comap_iSup, hf.nhds_eq_comap, iSup_image] #align inducing.nhds_set_eq_comap Inducing.nhdsSet_eq_comap theorem map_nhds_eq (hf : Inducing f) (x : X) : (𝓝 x).map f = 𝓝[range f] f x := hf.induced.symm ▸ map_nhds_induced_eq x #align inducing.map_nhds_eq Inducing.map_nhds_eq theorem map_nhds_of_mem (hf : Inducing f) (x : X) (h : range f ∈ 𝓝 (f x)) : (𝓝 x).map f = 𝓝 (f x) := hf.induced.symm ▸ map_nhds_induced_of_mem h #align inducing.map_nhds_of_mem Inducing.map_nhds_of_mem -- Porting note (#10756): new lemma theorem mapClusterPt_iff (hf : Inducing f) {x : X} {l : Filter X} : MapClusterPt (f x) l f ↔ ClusterPt x l := by delta MapClusterPt ClusterPt rw [← Filter.push_pull', ← hf.nhds_eq_comap, map_neBot_iff] theorem image_mem_nhdsWithin (hf : Inducing f) {x : X} {s : Set X} (hs : s ∈ 𝓝 x) : f '' s ∈ 𝓝[range f] f x := hf.map_nhds_eq x ▸ image_mem_map hs #align inducing.image_mem_nhds_within Inducing.image_mem_nhdsWithin theorem tendsto_nhds_iff {f : ι → Y} {l : Filter ι} {y : Y} (hg : Inducing g) : Tendsto f l (𝓝 y) ↔ Tendsto (g ∘ f) l (𝓝 (g y)) := by rw [hg.nhds_eq_comap, tendsto_comap_iff] #align inducing.tendsto_nhds_iff Inducing.tendsto_nhds_iff theorem continuousAt_iff (hg : Inducing g) {x : X} : ContinuousAt f x ↔ ContinuousAt (g ∘ f) x := hg.tendsto_nhds_iff #align inducing.continuous_at_iff Inducing.continuousAt_iff theorem continuous_iff (hg : Inducing g) : Continuous f ↔ Continuous (g ∘ f) := by simp_rw [continuous_iff_continuousAt, hg.continuousAt_iff] #align inducing.continuous_iff Inducing.continuous_iff theorem continuousAt_iff' (hf : Inducing f) {x : X} (h : range f ∈ 𝓝 (f x)) : ContinuousAt (g ∘ f) x ↔ ContinuousAt g (f x) := by simp_rw [ContinuousAt, Filter.Tendsto, ← hf.map_nhds_of_mem _ h, Filter.map_map, comp] #align inducing.continuous_at_iff' Inducing.continuousAt_iff' protected theorem continuous (hf : Inducing f) : Continuous f := hf.continuous_iff.mp continuous_id #align inducing.continuous Inducing.continuous theorem closure_eq_preimage_closure_image (hf : Inducing f) (s : Set X) : closure s = f ⁻¹' closure (f '' s) := by ext x rw [Set.mem_preimage, ← closure_induced, hf.induced] #align inducing.closure_eq_preimage_closure_image Inducing.closure_eq_preimage_closure_image
Mathlib/Topology/Maps.lean
152
153
theorem isClosed_iff (hf : Inducing f) {s : Set X} : IsClosed s ↔ ∃ t, IsClosed t ∧ f ⁻¹' t = s := by
rw [hf.induced, isClosed_induced_iff]
true
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
Mathlib/LinearAlgebra/CliffordAlgebra/Contraction.lean
149
151
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]
true
import Mathlib.Topology.Separation import Mathlib.Algebra.BigOperators.Finprod #align_import topology.algebra.infinite_sum.basic from "leanprover-community/mathlib"@"3b52265189f3fb43aa631edffce5d060fafaf82f" noncomputable section open Filter Function open scoped Topology variable {α β γ : Type*} section HasProd variable [CommMonoid α] [TopologicalSpace α] @[to_additive "Infinite sum on a topological monoid The `atTop` filter on `Finset β` is the limit of all finite sets towards the entire type. So we sum up bigger and bigger sets. This sum operation is invariant under reordering. In particular, the function `ℕ → ℝ` sending `n` to `(-1)^n / (n+1)` does not have a sum for this definition, but a series which is absolutely convergent will have the correct sum. This is based on Mario Carneiro's [infinite sum `df-tsms` in Metamath](http://us.metamath.org/mpeuni/df-tsms.html). For the definition and many statements, `α` does not need to be a topological monoid. We only add this assumption later, for the lemmas where it is relevant."] def HasProd (f : β → α) (a : α) : Prop := Tendsto (fun s : Finset β ↦ ∏ b ∈ s, f b) atTop (𝓝 a) #align has_sum HasSum @[to_additive "`Summable f` means that `f` has some (infinite) sum. Use `tsum` to get the value."] def Multipliable (f : β → α) : Prop := ∃ a, HasProd f a #align summable Summable open scoped Classical in @[to_additive "`∑' i, f i` is the sum of `f` it exists, or 0 otherwise."] noncomputable irreducible_def tprod {β} (f : β → α) := if h : Multipliable f then if (mulSupport f).Finite then finprod f else h.choose else 1 #align tsum tsum -- see Note [operator precedence of big operators] @[inherit_doc tprod] notation3 "∏' "(...)", "r:67:(scoped f => tprod f) => r @[inherit_doc tsum] notation3 "∑' "(...)", "r:67:(scoped f => tsum f) => r variable {f g : β → α} {a b : α} {s : Finset β} @[to_additive] theorem HasProd.multipliable (h : HasProd f a) : Multipliable f := ⟨a, h⟩ #align has_sum.summable HasSum.summable @[to_additive] theorem tprod_eq_one_of_not_multipliable (h : ¬Multipliable f) : ∏' b, f b = 1 := by simp [tprod_def, h] #align tsum_eq_zero_of_not_summable tsum_eq_zero_of_not_summable @[to_additive] theorem Function.Injective.hasProd_iff {g : γ → β} (hg : Injective g) (hf : ∀ x, x ∉ Set.range g → f x = 1) : HasProd (f ∘ g) a ↔ HasProd f a := by simp only [HasProd, Tendsto, comp_apply, hg.map_atTop_finset_prod_eq hf] #align function.injective.has_sum_iff Function.Injective.hasSum_iff @[to_additive] theorem hasProd_subtype_iff_of_mulSupport_subset {s : Set β} (hf : mulSupport f ⊆ s) : HasProd (f ∘ (↑) : s → α) a ↔ HasProd f a := Subtype.coe_injective.hasProd_iff <| by simpa using mulSupport_subset_iff'.1 hf #align has_sum_subtype_iff_of_support_subset hasSum_subtype_iff_of_support_subset @[to_additive] theorem hasProd_fintype [Fintype β] (f : β → α) : HasProd f (∏ b, f b) := OrderTop.tendsto_atTop_nhds _ #align has_sum_fintype hasSum_fintype @[to_additive] protected theorem Finset.hasProd (s : Finset β) (f : β → α) : HasProd (f ∘ (↑) : (↑s : Set β) → α) (∏ b ∈ s, f b) := by rw [← prod_attach] exact hasProd_fintype _ #align finset.has_sum Finset.hasSum @[to_additive "If a function `f` vanishes outside of a finite set `s`, then it `HasSum` `∑ b ∈ s, f b`."] theorem hasProd_prod_of_ne_finset_one (hf : ∀ b ∉ s, f b = 1) : HasProd f (∏ b ∈ s, f b) := (hasProd_subtype_iff_of_mulSupport_subset <| mulSupport_subset_iff'.2 hf).1 <| s.hasProd f #align has_sum_sum_of_ne_finset_zero hasSum_sum_of_ne_finset_zero @[to_additive] theorem multipliable_of_ne_finset_one (hf : ∀ b ∉ s, f b = 1) : Multipliable f := (hasProd_prod_of_ne_finset_one hf).multipliable #align summable_of_ne_finset_zero summable_of_ne_finset_zero @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Defs.lean
166
170
theorem Multipliable.hasProd (ha : Multipliable f) : HasProd f (∏' b, f b) := by simp only [tprod_def, ha, dite_true]
simp only [tprod_def, ha, dite_true] by_cases H : (mulSupport f).Finite · simp [H, hasProd_prod_of_ne_finset_one, finprod_eq_prod] · simpa [H] using ha.choose_spec
true
import Mathlib.Algebra.Polynomial.Degree.Lemmas open Polynomial namespace Mathlib.Tactic.ComputeDegree section recursion_lemmas variable {R : Type*} section semiring variable [Semiring R] theorem natDegree_C_le (a : R) : natDegree (C a) ≤ 0 := (natDegree_C a).le theorem natDegree_natCast_le (n : ℕ) : natDegree (n : R[X]) ≤ 0 := (natDegree_natCast _).le theorem natDegree_zero_le : natDegree (0 : R[X]) ≤ 0 := natDegree_zero.le theorem natDegree_one_le : natDegree (1 : R[X]) ≤ 0 := natDegree_one.le @[deprecated (since := "2024-04-17")] alias natDegree_nat_cast_le := natDegree_natCast_le theorem coeff_add_of_eq {n : ℕ} {a b : R} {f g : R[X]} (h_add_left : f.coeff n = a) (h_add_right : g.coeff n = b) : (f + g).coeff n = a + b := by subst ‹_› ‹_›; apply coeff_add
Mathlib/Tactic/ComputeDegree.lean
105
115
theorem coeff_mul_add_of_le_natDegree_of_eq_ite {d df dg : ℕ} {a b : R} {f g : R[X]} (h_mul_left : natDegree f ≤ df) (h_mul_right : natDegree g ≤ dg) (h_mul_left : f.coeff df = a) (h_mul_right : g.coeff dg = b) (ddf : df + dg ≤ d) : (f * g).coeff d = if d = df + dg then a * b else 0 := by split_ifs with h
split_ifs with h · subst h_mul_left h_mul_right h exact coeff_mul_of_natDegree_le ‹_› ‹_› · apply coeff_eq_zero_of_natDegree_lt apply lt_of_le_of_lt ?_ (lt_of_le_of_ne ddf ?_) · exact natDegree_mul_le_of_le ‹_› ‹_› · exact ne_comm.mp h
true
import Mathlib.Data.Nat.Count import Mathlib.Data.Nat.SuccPred import Mathlib.Order.Interval.Set.Monotone import Mathlib.Order.OrderIsoNat #align_import data.nat.nth from "leanprover-community/mathlib"@"7fdd4f3746cb059edfdb5d52cba98f66fce418c0" open Finset namespace Nat variable (p : ℕ → Prop) noncomputable def nth (p : ℕ → Prop) (n : ℕ) : ℕ := by classical exact if h : Set.Finite (setOf p) then (h.toFinset.sort (· ≤ ·)).getD n 0 else @Nat.Subtype.orderIsoOfNat (setOf p) (Set.Infinite.to_subtype h) n #align nat.nth Nat.nth variable {p} theorem nth_of_card_le (hf : (setOf p).Finite) {n : ℕ} (hn : hf.toFinset.card ≤ n) : nth p n = 0 := by rw [nth, dif_pos hf, List.getD_eq_default]; rwa [Finset.length_sort] #align nat.nth_of_card_le Nat.nth_of_card_le theorem nth_eq_getD_sort (h : (setOf p).Finite) (n : ℕ) : nth p n = (h.toFinset.sort (· ≤ ·)).getD n 0 := dif_pos h #align nat.nth_eq_nthd_sort Nat.nth_eq_getD_sort
Mathlib/Data/Nat/Nth.lean
71
73
theorem nth_eq_orderEmbOfFin (hf : (setOf p).Finite) {n : ℕ} (hn : n < hf.toFinset.card) : nth p n = hf.toFinset.orderEmbOfFin rfl ⟨n, hn⟩ := by
rw [nth_eq_getD_sort hf, Finset.orderEmbOfFin_apply, List.getD_eq_get]
true
import Mathlib.Data.List.Cycle import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.Perm.List #align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a" open Equiv Equiv.Perm List variable {α : Type*} namespace Equiv.Perm section Fintype variable [Fintype α] [DecidableEq α] (p : Equiv.Perm α) (x : α) def toList : List α := (List.range (cycleOf p x).support.card).map fun k => (p ^ k) x #align equiv.perm.to_list Equiv.Perm.toList @[simp] theorem toList_one : toList (1 : Perm α) x = [] := by simp [toList, cycleOf_one] #align equiv.perm.to_list_one Equiv.Perm.toList_one @[simp] theorem toList_eq_nil_iff {p : Perm α} {x} : toList p x = [] ↔ x ∉ p.support := by simp [toList] #align equiv.perm.to_list_eq_nil_iff Equiv.Perm.toList_eq_nil_iff @[simp] theorem length_toList : length (toList p x) = (cycleOf p x).support.card := by simp [toList] #align equiv.perm.length_to_list Equiv.Perm.length_toList theorem toList_ne_singleton (y : α) : toList p x ≠ [y] := by intro H simpa [card_support_ne_one] using congr_arg length H #align equiv.perm.to_list_ne_singleton Equiv.Perm.toList_ne_singleton theorem two_le_length_toList_iff_mem_support {p : Perm α} {x : α} : 2 ≤ length (toList p x) ↔ x ∈ p.support := by simp #align equiv.perm.two_le_length_to_list_iff_mem_support Equiv.Perm.two_le_length_toList_iff_mem_support theorem length_toList_pos_of_mem_support (h : x ∈ p.support) : 0 < length (toList p x) := zero_lt_two.trans_le (two_le_length_toList_iff_mem_support.mpr h) #align equiv.perm.length_to_list_pos_of_mem_support Equiv.Perm.length_toList_pos_of_mem_support theorem get_toList (n : ℕ) (hn : n < length (toList p x)) : (toList p x).get ⟨n, hn⟩ = (p ^ n) x := by simp [toList] theorem toList_get_zero (h : x ∈ p.support) : (toList p x).get ⟨0, (length_toList_pos_of_mem_support _ _ h)⟩ = x := by simp [toList] set_option linter.deprecated false in @[deprecated get_toList (since := "2024-05-08")] theorem nthLe_toList (n : ℕ) (hn : n < length (toList p x)) : (toList p x).nthLe n hn = (p ^ n) x := by simp [toList] #align equiv.perm.nth_le_to_list Equiv.Perm.nthLe_toList set_option linter.deprecated false in @[deprecated toList_get_zero (since := "2024-05-08")] theorem toList_nthLe_zero (h : x ∈ p.support) : (toList p x).nthLe 0 (length_toList_pos_of_mem_support _ _ h) = x := by simp [toList] #align equiv.perm.to_list_nth_le_zero Equiv.Perm.toList_nthLe_zero variable {p} {x} theorem mem_toList_iff {y : α} : y ∈ toList p x ↔ SameCycle p x y ∧ x ∈ p.support := by simp only [toList, mem_range, mem_map] constructor · rintro ⟨n, hx, rfl⟩ refine ⟨⟨n, rfl⟩, ?_⟩ contrapose! hx rw [← support_cycleOf_eq_nil_iff] at hx simp [hx] · rintro ⟨h, hx⟩ simpa using h.exists_pow_eq_of_mem_support hx #align equiv.perm.mem_to_list_iff Equiv.Perm.mem_toList_iff set_option linter.deprecated false in
Mathlib/GroupTheory/Perm/Cycle/Concrete.lean
278
308
theorem nodup_toList (p : Perm α) (x : α) : Nodup (toList p x) := by by_cases hx : p x = x
by_cases hx : p x = x · rw [← not_mem_support, ← toList_eq_nil_iff] at hx simp [hx] have hc : IsCycle (cycleOf p x) := isCycle_cycleOf p hx rw [nodup_iff_nthLe_inj] rintro n m hn hm rw [length_toList, ← hc.orderOf] at hm hn rw [← cycleOf_apply_self, ← Ne, ← mem_support] at hx rw [nthLe_toList, nthLe_toList, ← cycleOf_pow_apply_self p x n, ← cycleOf_pow_apply_self p x m] cases' n with n <;> cases' m with m · simp · rw [← hc.support_pow_of_pos_of_lt_orderOf m.zero_lt_succ hm, mem_support, cycleOf_pow_apply_self] at hx simp [hx.symm] · rw [← hc.support_pow_of_pos_of_lt_orderOf n.zero_lt_succ hn, mem_support, cycleOf_pow_apply_self] at hx simp [hx] intro h have hn' : ¬orderOf (p.cycleOf x) ∣ n.succ := Nat.not_dvd_of_pos_of_lt n.zero_lt_succ hn have hm' : ¬orderOf (p.cycleOf x) ∣ m.succ := Nat.not_dvd_of_pos_of_lt m.zero_lt_succ hm rw [← hc.support_pow_eq_iff] at hn' hm' rw [← Nat.mod_eq_of_lt hn, ← Nat.mod_eq_of_lt hm, ← pow_inj_mod] refine support_congr ?_ ?_ · rw [hm', hn'] · rw [hm'] intro y hy obtain ⟨k, rfl⟩ := hc.exists_pow_eq (mem_support.mp hx) (mem_support.mp hy) rw [← mul_apply, (Commute.pow_pow_self _ _ _).eq, mul_apply, h, ← mul_apply, ← mul_apply, (Commute.pow_pow_self _ _ _).eq]
true
import Mathlib.Algebra.Algebra.Equiv import Mathlib.Algebra.Algebra.NonUnitalHom import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Finsupp.Basic import Mathlib.LinearAlgebra.Finsupp #align_import algebra.monoid_algebra.basic from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" noncomputable section open Finset open Finsupp hiding single mapDomain universe u₁ u₂ u₃ u₄ variable (k : Type u₁) (G : Type u₂) (H : Type*) {R : Type*} section variable [Semiring k] def MonoidAlgebra : Type max u₁ u₂ := G →₀ k #align monoid_algebra MonoidAlgebra -- Porting note: The compiler couldn't derive this. instance MonoidAlgebra.inhabited : Inhabited (MonoidAlgebra k G) := inferInstanceAs (Inhabited (G →₀ k)) #align monoid_algebra.inhabited MonoidAlgebra.inhabited -- Porting note: The compiler couldn't derive this. instance MonoidAlgebra.addCommMonoid : AddCommMonoid (MonoidAlgebra k G) := inferInstanceAs (AddCommMonoid (G →₀ k)) #align monoid_algebra.add_comm_monoid MonoidAlgebra.addCommMonoid instance MonoidAlgebra.instIsCancelAdd [IsCancelAdd k] : IsCancelAdd (MonoidAlgebra k G) := inferInstanceAs (IsCancelAdd (G →₀ k)) instance MonoidAlgebra.coeFun : CoeFun (MonoidAlgebra k G) fun _ => G → k := Finsupp.instCoeFun #align monoid_algebra.has_coe_to_fun MonoidAlgebra.coeFun end namespace MonoidAlgebra variable {k G} section variable [Semiring k] [NonUnitalNonAssocSemiring R] -- Porting note: `reducible` cannot be `local`, so we replace some definitions and theorems with -- new ones which have new types. abbrev single (a : G) (b : k) : MonoidAlgebra k G := Finsupp.single a b theorem single_zero (a : G) : (single a 0 : MonoidAlgebra k G) = 0 := Finsupp.single_zero a theorem single_add (a : G) (b₁ b₂ : k) : single a (b₁ + b₂) = single a b₁ + single a b₂ := Finsupp.single_add a b₁ b₂ @[simp] theorem sum_single_index {N} [AddCommMonoid N] {a : G} {b : k} {h : G → k → N} (h_zero : h a 0 = 0) : (single a b).sum h = h a b := Finsupp.sum_single_index h_zero @[simp] theorem sum_single (f : MonoidAlgebra k G) : f.sum single = f := Finsupp.sum_single f theorem single_apply {a a' : G} {b : k} [Decidable (a = a')] : single a b a' = if a = a' then b else 0 := Finsupp.single_apply @[simp] theorem single_eq_zero {a : G} {b : k} : single a b = 0 ↔ b = 0 := Finsupp.single_eq_zero abbrev mapDomain {G' : Type*} (f : G → G') (v : MonoidAlgebra k G) : MonoidAlgebra k G' := Finsupp.mapDomain f v theorem mapDomain_sum {k' G' : Type*} [Semiring k'] {f : G → G'} {s : MonoidAlgebra k' G} {v : G → k' → MonoidAlgebra k G} : mapDomain f (s.sum v) = s.sum fun a b => mapDomain f (v a b) := Finsupp.mapDomain_sum def liftNC (f : k →+ R) (g : G → R) : MonoidAlgebra k G →+ R := liftAddHom fun x : G => (AddMonoidHom.mulRight (g x)).comp f #align monoid_algebra.lift_nc MonoidAlgebra.liftNC @[simp] theorem liftNC_single (f : k →+ R) (g : G → R) (a : G) (b : k) : liftNC f g (single a b) = f b * g a := liftAddHom_apply_single _ _ _ #align monoid_algebra.lift_nc_single MonoidAlgebra.liftNC_single end section Mul variable [Semiring k] [Mul G] @[irreducible] def mul' (f g : MonoidAlgebra k G) : MonoidAlgebra k G := f.sum fun a₁ b₁ => g.sum fun a₂ b₂ => single (a₁ * a₂) (b₁ * b₂) instance instMul : Mul (MonoidAlgebra k G) := ⟨MonoidAlgebra.mul'⟩ #align monoid_algebra.has_mul MonoidAlgebra.instMul theorem mul_def {f g : MonoidAlgebra k G} : f * g = f.sum fun a₁ b₁ => g.sum fun a₂ b₂ => single (a₁ * a₂) (b₁ * b₂) := by with_unfolding_all rfl #align monoid_algebra.mul_def MonoidAlgebra.mul_def instance nonUnitalNonAssocSemiring : NonUnitalNonAssocSemiring (MonoidAlgebra k G) := { Finsupp.instAddCommMonoid with -- Porting note: `refine` & `exact` are required because `simp` behaves differently. left_distrib := fun f g h => by haveI := Classical.decEq G simp only [mul_def] refine Eq.trans (congr_arg (sum f) (funext₂ fun a₁ b₁ => sum_add_index ?_ ?_)) ?_ <;> simp only [mul_add, mul_zero, single_zero, single_add, forall_true_iff, sum_add] right_distrib := fun f g h => by haveI := Classical.decEq G simp only [mul_def] refine Eq.trans (sum_add_index ?_ ?_) ?_ <;> simp only [add_mul, zero_mul, single_zero, single_add, forall_true_iff, sum_zero, sum_add] zero_mul := fun f => by simp only [mul_def] exact sum_zero_index mul_zero := fun f => by simp only [mul_def] exact Eq.trans (congr_arg (sum f) (funext₂ fun a₁ b₁ => sum_zero_index)) sum_zero } #align monoid_algebra.non_unital_non_assoc_semiring MonoidAlgebra.nonUnitalNonAssocSemiring variable [Semiring R]
Mathlib/Algebra/MonoidAlgebra/Basic.lean
202
210
theorem liftNC_mul {g_hom : Type*} [FunLike g_hom G R] [MulHomClass g_hom G R] (f : k →+* R) (g : g_hom) (a b : MonoidAlgebra k G) (h_comm : ∀ {x y}, y ∈ a.support → Commute (f (b x)) (g y)) : liftNC (f : k →+ R) g (a * b) = liftNC (f : k →+ R) g a * liftNC (f : k →+ R) g b := by conv_rhs => rw [← sum_single a, ← sum_single b]
conv_rhs => rw [← sum_single a, ← sum_single b] -- Porting note: `(liftNC _ g).map_finsupp_sum` → `map_finsupp_sum` simp_rw [mul_def, map_finsupp_sum, liftNC_single, Finsupp.sum_mul, Finsupp.mul_sum] refine Finset.sum_congr rfl fun y hy => Finset.sum_congr rfl fun x _hx => ?_ simp [mul_assoc, (h_comm hy).left_comm]
true
import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.InverseFunctionTheorem.FDeriv import Mathlib.LinearAlgebra.Dual #align_import analysis.calculus.lagrange_multipliers from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Set open scoped Topology Filter variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {f : E → F} {φ : E → ℝ} {x₀ : E} {f' : E →L[ℝ] F} {φ' : E →L[ℝ] ℝ} theorem IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : LinearMap.range (f'.prod φ') ≠ ⊤ := by intro htop set fφ := fun x => (f x, φ x) have A : map φ (𝓝[f ⁻¹' {f x₀}] x₀) = 𝓝 (φ x₀) := by change map (Prod.snd ∘ fφ) (𝓝[fφ ⁻¹' {p | p.1 = f x₀}] x₀) = 𝓝 (φ x₀) rw [← map_map, nhdsWithin, map_inf_principal_preimage, (hf'.prod hφ').map_nhds_eq_of_surj htop] exact map_snd_nhdsWithin _ exact hextr.not_nhds_le_map A.ge #align is_local_extr_on.range_ne_top_of_has_strict_fderiv_at IsLocalExtrOn.range_ne_top_of_hasStrictFDerivAt theorem IsLocalExtrOn.exists_linear_map_of_hasStrictFDerivAt (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ (Λ : Module.Dual ℝ F) (Λ₀ : ℝ), (Λ, Λ₀) ≠ 0 ∧ ∀ x, Λ (f' x) + Λ₀ • φ' x = 0 := by rcases Submodule.exists_le_ker_of_lt_top _ (lt_top_iff_ne_top.2 <| hextr.range_ne_top_of_hasStrictFDerivAt hf' hφ') with ⟨Λ', h0, hΛ'⟩ set e : ((F →ₗ[ℝ] ℝ) × ℝ) ≃ₗ[ℝ] F × ℝ →ₗ[ℝ] ℝ := ((LinearEquiv.refl ℝ (F →ₗ[ℝ] ℝ)).prod (LinearMap.ringLmapEquivSelf ℝ ℝ ℝ).symm).trans (LinearMap.coprodEquiv ℝ) rcases e.surjective Λ' with ⟨⟨Λ, Λ₀⟩, rfl⟩ refine ⟨Λ, Λ₀, e.map_ne_zero_iff.1 h0, fun x => ?_⟩ convert LinearMap.congr_fun (LinearMap.range_le_ker_iff.1 hΛ') x using 1 -- squeezed `simp [mul_comm]` to speed up elaboration simp only [e, smul_eq_mul, LinearEquiv.trans_apply, LinearEquiv.prod_apply, LinearEquiv.refl_apply, LinearMap.ringLmapEquivSelf_symm_apply, LinearMap.coprodEquiv_apply, ContinuousLinearMap.coe_prod, LinearMap.coprod_comp_prod, LinearMap.add_apply, LinearMap.coe_comp, ContinuousLinearMap.coe_coe, Function.comp_apply, LinearMap.coe_smulRight, LinearMap.one_apply, mul_comm] #align is_local_extr_on.exists_linear_map_of_has_strict_fderiv_at IsLocalExtrOn.exists_linear_map_of_hasStrictFDerivAt
Mathlib/Analysis/Calculus/LagrangeMultipliers.lean
84
97
theorem IsLocalExtrOn.exists_multipliers_of_hasStrictFDerivAt_1d {f : E → ℝ} {f' : E →L[ℝ] ℝ} (hextr : IsLocalExtrOn φ {x | f x = f x₀} x₀) (hf' : HasStrictFDerivAt f f' x₀) (hφ' : HasStrictFDerivAt φ φ' x₀) : ∃ a b : ℝ, (a, b) ≠ 0 ∧ a • f' + b • φ' = 0 := by obtain ⟨Λ, Λ₀, hΛ, hfΛ⟩ := hextr.exists_linear_map_of_hasStrictFDerivAt hf' hφ'
obtain ⟨Λ, Λ₀, hΛ, hfΛ⟩ := hextr.exists_linear_map_of_hasStrictFDerivAt hf' hφ' refine ⟨Λ 1, Λ₀, ?_, ?_⟩ · contrapose! hΛ simp only [Prod.mk_eq_zero] at hΛ ⊢ refine ⟨LinearMap.ext fun x => ?_, hΛ.2⟩ simpa [hΛ.1] using Λ.map_smul x 1 · ext x have H₁ : Λ (f' x) = f' x * Λ 1 := by simpa only [mul_one, Algebra.id.smul_eq_mul] using Λ.map_smul (f' x) 1 have H₂ : f' x * Λ 1 + Λ₀ * φ' x = 0 := by simpa only [Algebra.id.smul_eq_mul, H₁] using hfΛ x simpa [mul_comm] using H₂
true
import Mathlib.Analysis.SpecialFunctions.Log.Base import Mathlib.MeasureTheory.Measure.MeasureSpaceDef #align_import measure_theory.measure.doubling from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" noncomputable section open Set Filter Metric MeasureTheory TopologicalSpace ENNReal NNReal Topology class IsUnifLocDoublingMeasure {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α) : Prop where exists_measure_closedBall_le_mul'' : ∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε) #align is_unif_loc_doubling_measure IsUnifLocDoublingMeasure namespace IsUnifLocDoublingMeasure variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α) [IsUnifLocDoublingMeasure μ] -- Porting note: added for missing infer kinds theorem exists_measure_closedBall_le_mul : ∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε) := exists_measure_closedBall_le_mul'' def doublingConstant : ℝ≥0 := Classical.choose <| exists_measure_closedBall_le_mul μ #align is_unif_loc_doubling_measure.doubling_constant IsUnifLocDoublingMeasure.doublingConstant theorem exists_measure_closedBall_le_mul' : ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ doublingConstant μ * μ (closedBall x ε) := Classical.choose_spec <| exists_measure_closedBall_le_mul μ #align is_unif_loc_doubling_measure.exists_measure_closed_ball_le_mul' IsUnifLocDoublingMeasure.exists_measure_closedBall_le_mul' theorem exists_eventually_forall_measure_closedBall_le_mul (K : ℝ) : ∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, ∀ t ≤ K, μ (closedBall x (t * ε)) ≤ C * μ (closedBall x ε) := by let C := doublingConstant μ have hμ : ∀ n : ℕ, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x ((2 : ℝ) ^ n * ε)) ≤ ↑(C ^ n) * μ (closedBall x ε) := by intro n induction' n with n ih · simp replace ih := eventually_nhdsWithin_pos_mul_left (two_pos : 0 < (2 : ℝ)) ih refine (ih.and (exists_measure_closedBall_le_mul' μ)).mono fun ε hε x => ?_ calc μ (closedBall x ((2 : ℝ) ^ (n + 1) * ε)) = μ (closedBall x ((2 : ℝ) ^ n * (2 * ε))) := by rw [pow_succ, mul_assoc] _ ≤ ↑(C ^ n) * μ (closedBall x (2 * ε)) := hε.1 x _ ≤ ↑(C ^ n) * (C * μ (closedBall x ε)) := by gcongr; exact hε.2 x _ = ↑(C ^ (n + 1)) * μ (closedBall x ε) := by rw [← mul_assoc, pow_succ, ENNReal.coe_mul] rcases lt_or_le K 1 with (hK | hK) · refine ⟨1, ?_⟩ simp only [ENNReal.coe_one, one_mul] refine eventually_mem_nhdsWithin.mono fun ε hε x t ht ↦ ?_ gcongr nlinarith [mem_Ioi.mp hε] · use C ^ ⌈Real.logb 2 K⌉₊ filter_upwards [hμ ⌈Real.logb 2 K⌉₊, eventually_mem_nhdsWithin] with ε hε hε₀ x t ht refine le_trans ?_ (hε x) gcongr · exact (mem_Ioi.mp hε₀).le · refine ht.trans ?_ rw [← Real.rpow_natCast, ← Real.logb_le_iff_le_rpow] exacts [Nat.le_ceil _, by norm_num, by linarith] #align is_unif_loc_doubling_measure.exists_eventually_forall_measure_closed_ball_le_mul IsUnifLocDoublingMeasure.exists_eventually_forall_measure_closedBall_le_mul def scalingConstantOf (K : ℝ) : ℝ≥0 := max (Classical.choose <| exists_eventually_forall_measure_closedBall_le_mul μ K) 1 #align is_unif_loc_doubling_measure.scaling_constant_of IsUnifLocDoublingMeasure.scalingConstantOf @[simp] theorem one_le_scalingConstantOf (K : ℝ) : 1 ≤ scalingConstantOf μ K := le_max_of_le_right <| le_refl 1 #align is_unif_loc_doubling_measure.one_le_scaling_constant_of IsUnifLocDoublingMeasure.one_le_scalingConstantOf theorem eventually_measure_mul_le_scalingConstantOf_mul (K : ℝ) : ∃ R : ℝ, 0 < R ∧ ∀ x t r, t ∈ Ioc 0 K → r ≤ R → μ (closedBall x (t * r)) ≤ scalingConstantOf μ K * μ (closedBall x r) := by have h := Classical.choose_spec (exists_eventually_forall_measure_closedBall_le_mul μ K) rcases mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 h with ⟨R, Rpos, hR⟩ refine ⟨R, Rpos, fun x t r ht hr => ?_⟩ rcases lt_trichotomy r 0 with (rneg | rfl | rpos) · have : t * r < 0 := mul_neg_of_pos_of_neg ht.1 rneg simp only [closedBall_eq_empty.2 this, measure_empty, zero_le'] · simp only [mul_zero, closedBall_zero] refine le_mul_of_one_le_of_le ?_ le_rfl apply ENNReal.one_le_coe_iff.2 (le_max_right _ _) · apply (hR ⟨rpos, hr⟩ x t ht.2).trans gcongr apply le_max_left #align is_unif_loc_doubling_measure.eventually_measure_mul_le_scaling_constant_of_mul IsUnifLocDoublingMeasure.eventually_measure_mul_le_scalingConstantOf_mul
Mathlib/MeasureTheory/Measure/Doubling.lean
132
136
theorem eventually_measure_le_scaling_constant_mul (K : ℝ) : ∀ᶠ r in 𝓝[>] 0, ∀ x, μ (closedBall x (K * r)) ≤ scalingConstantOf μ K * μ (closedBall x r) := by filter_upwards [Classical.choose_spec
filter_upwards [Classical.choose_spec (exists_eventually_forall_measure_closedBall_le_mul μ K)] with r hr x exact (hr x K le_rfl).trans (mul_le_mul_right' (ENNReal.coe_le_coe.2 (le_max_left _ _)) _)
true
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]
Mathlib/Data/List/Rotate.lean
45
45
theorem rotate_zero (l : List α) : l.rotate 0 = l := by
simp [rotate]
true
import Mathlib.Analysis.Convex.Hull #align_import analysis.convex.join from "leanprover-community/mathlib"@"951bf1d9e98a2042979ced62c0620bcfb3587cf8" open Set variable {ι : Sort*} {𝕜 E : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommMonoid E] [Module 𝕜 E] {s t s₁ s₂ t₁ t₂ u : Set E} {x y : E} def convexJoin (s t : Set E) : Set E := ⋃ (x ∈ s) (y ∈ t), segment 𝕜 x y #align convex_join convexJoin variable {𝕜} theorem mem_convexJoin : x ∈ convexJoin 𝕜 s t ↔ ∃ a ∈ s, ∃ b ∈ t, x ∈ segment 𝕜 a b := by simp [convexJoin] #align mem_convex_join mem_convexJoin theorem convexJoin_comm (s t : Set E) : convexJoin 𝕜 s t = convexJoin 𝕜 t s := (iUnion₂_comm _).trans <| by simp_rw [convexJoin, segment_symm] #align convex_join_comm convexJoin_comm theorem convexJoin_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : convexJoin 𝕜 s₁ t₁ ⊆ convexJoin 𝕜 s₂ t₂ := biUnion_mono hs fun _ _ => biUnion_subset_biUnion_left ht #align convex_join_mono convexJoin_mono theorem convexJoin_mono_left (hs : s₁ ⊆ s₂) : convexJoin 𝕜 s₁ t ⊆ convexJoin 𝕜 s₂ t := convexJoin_mono hs Subset.rfl #align convex_join_mono_left convexJoin_mono_left theorem convexJoin_mono_right (ht : t₁ ⊆ t₂) : convexJoin 𝕜 s t₁ ⊆ convexJoin 𝕜 s t₂ := convexJoin_mono Subset.rfl ht #align convex_join_mono_right convexJoin_mono_right @[simp] theorem convexJoin_empty_left (t : Set E) : convexJoin 𝕜 ∅ t = ∅ := by simp [convexJoin] #align convex_join_empty_left convexJoin_empty_left @[simp] theorem convexJoin_empty_right (s : Set E) : convexJoin 𝕜 s ∅ = ∅ := by simp [convexJoin] #align convex_join_empty_right convexJoin_empty_right @[simp] theorem convexJoin_singleton_left (t : Set E) (x : E) : convexJoin 𝕜 {x} t = ⋃ y ∈ t, segment 𝕜 x y := by simp [convexJoin] #align convex_join_singleton_left convexJoin_singleton_left @[simp] theorem convexJoin_singleton_right (s : Set E) (y : E) : convexJoin 𝕜 s {y} = ⋃ x ∈ s, segment 𝕜 x y := by simp [convexJoin] #align convex_join_singleton_right convexJoin_singleton_right -- Porting note (#10618): simp can prove it
Mathlib/Analysis/Convex/Join.lean
75
75
theorem convexJoin_singletons (x : E) : convexJoin 𝕜 {x} {y} = segment 𝕜 x y := by
simp
true
import Mathlib.Control.Functor.Multivariate import Mathlib.Data.PFunctor.Univariate.Basic #align_import data.pfunctor.multivariate.basic from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d" universe u v open MvFunctor @[pp_with_univ] structure MvPFunctor (n : ℕ) where A : Type u B : A → TypeVec.{u} n #align mvpfunctor MvPFunctor namespace MvPFunctor open MvFunctor (LiftP LiftR) variable {n m : ℕ} (P : MvPFunctor.{u} n) @[coe] def Obj (α : TypeVec.{u} n) : Type u := Σ a : P.A, P.B a ⟹ α #align mvpfunctor.obj MvPFunctor.Obj instance : CoeFun (MvPFunctor.{u} n) (fun _ => TypeVec.{u} n → Type u) where coe := Obj def map {α β : TypeVec n} (f : α ⟹ β) : P α → P β := fun ⟨a, g⟩ => ⟨a, TypeVec.comp f g⟩ #align mvpfunctor.map MvPFunctor.map instance : Inhabited (MvPFunctor n) := ⟨⟨default, default⟩⟩ instance Obj.inhabited {α : TypeVec n} [Inhabited P.A] [∀ i, Inhabited (α i)] : Inhabited (P α) := ⟨⟨default, fun _ _ => default⟩⟩ #align mvpfunctor.obj.inhabited MvPFunctor.Obj.inhabited instance : MvFunctor.{u} P.Obj := ⟨@MvPFunctor.map n P⟩ theorem map_eq {α β : TypeVec n} (g : α ⟹ β) (a : P.A) (f : P.B a ⟹ α) : @MvFunctor.map _ P.Obj _ _ _ g ⟨a, f⟩ = ⟨a, g ⊚ f⟩ := rfl #align mvpfunctor.map_eq MvPFunctor.map_eq theorem id_map {α : TypeVec n} : ∀ x : P α, TypeVec.id <$$> x = x | ⟨_, _⟩ => rfl #align mvpfunctor.id_map MvPFunctor.id_map theorem comp_map {α β γ : TypeVec n} (f : α ⟹ β) (g : β ⟹ γ) : ∀ x : P α, (g ⊚ f) <$$> x = g <$$> f <$$> x | ⟨_, _⟩ => rfl #align mvpfunctor.comp_map MvPFunctor.comp_map instance : LawfulMvFunctor.{u} P.Obj where id_map := @id_map _ P comp_map := @comp_map _ P def const (n : ℕ) (A : Type u) : MvPFunctor n := { A B := fun _ _ => PEmpty } #align mvpfunctor.const MvPFunctor.const def comp (P : MvPFunctor.{u} n) (Q : Fin2 n → MvPFunctor.{u} m) : MvPFunctor m where A := Σ a₂ : P.1, ∀ i, P.2 a₂ i → (Q i).1 B a i := Σ(j : _) (b : P.2 a.1 j), (Q j).2 (a.snd j b) i #align mvpfunctor.comp MvPFunctor.comp variable {P} {Q : Fin2 n → MvPFunctor.{u} m} {α β : TypeVec.{u} m} def comp.mk (x : P (fun i => Q i α)) : comp P Q α := ⟨⟨x.1, fun _ a => (x.2 _ a).1⟩, fun i a => (x.snd a.fst a.snd.fst).snd i a.snd.snd⟩ #align mvpfunctor.comp.mk MvPFunctor.comp.mk def comp.get (x : comp P Q α) : P (fun i => Q i α) := ⟨x.1.1, fun i a => ⟨x.fst.snd i a, fun (j : Fin2 m) (b : (Q i).B _ j) => x.snd j ⟨i, ⟨a, b⟩⟩⟩⟩ #align mvpfunctor.comp.get MvPFunctor.comp.get theorem comp.get_map (f : α ⟹ β) (x : comp P Q α) : comp.get (f <$$> x) = (fun i (x : Q i α) => f <$$> x) <$$> comp.get x := by rfl #align mvpfunctor.comp.get_map MvPFunctor.comp.get_map @[simp]
Mathlib/Data/PFunctor/Multivariate/Basic.lean
148
149
theorem comp.get_mk (x : P (fun i => Q i α)) : comp.get (comp.mk x) = x := by
rfl
true
import Mathlib.Geometry.Euclidean.Sphere.Basic #align_import geometry.euclidean.sphere.second_inter from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open RealInnerProductSpace namespace EuclideanGeometry variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] def Sphere.secondInter (s : Sphere P) (p : P) (v : V) : P := (-2 * ⟪v, p -ᵥ s.center⟫ / ⟪v, v⟫) • v +ᵥ p #align euclidean_geometry.sphere.second_inter EuclideanGeometry.Sphere.secondInter @[simp] theorem Sphere.secondInter_dist (s : Sphere P) (p : P) (v : V) : dist (s.secondInter p v) s.center = dist p s.center := by rw [Sphere.secondInter] by_cases hv : v = 0; · simp [hv] rw [dist_smul_vadd_eq_dist _ _ hv] exact Or.inr rfl #align euclidean_geometry.sphere.second_inter_dist EuclideanGeometry.Sphere.secondInter_dist @[simp]
Mathlib/Geometry/Euclidean/Sphere/SecondInter.lean
54
55
theorem Sphere.secondInter_mem {s : Sphere P} {p : P} (v : V) : s.secondInter p v ∈ s ↔ p ∈ s := by
simp_rw [mem_sphere, Sphere.secondInter_dist]
true
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Tactic.Ring #align_import data.nat.hyperoperation from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" def hyperoperation : ℕ → ℕ → ℕ → ℕ | 0, _, k => k + 1 | 1, m, 0 => m | 2, _, 0 => 0 | _ + 3, _, 0 => 1 | n + 1, m, k + 1 => hyperoperation n m (hyperoperation (n + 1) m k) #align hyperoperation hyperoperation -- Basic hyperoperation lemmas @[simp] theorem hyperoperation_zero (m : ℕ) : hyperoperation 0 m = Nat.succ := funext fun k => by rw [hyperoperation, Nat.succ_eq_add_one] #align hyperoperation_zero hyperoperation_zero theorem hyperoperation_ge_three_eq_one (n m : ℕ) : hyperoperation (n + 3) m 0 = 1 := by rw [hyperoperation] #align hyperoperation_ge_three_eq_one hyperoperation_ge_three_eq_one theorem hyperoperation_recursion (n m k : ℕ) : hyperoperation (n + 1) m (k + 1) = hyperoperation n m (hyperoperation (n + 1) m k) := by rw [hyperoperation] #align hyperoperation_recursion hyperoperation_recursion -- Interesting hyperoperation lemmas @[simp] theorem hyperoperation_one : hyperoperation 1 = (· + ·) := by ext m k induction' k with bn bih · rw [Nat.add_zero m, hyperoperation] · rw [hyperoperation_recursion, bih, hyperoperation_zero] exact Nat.add_assoc m bn 1 #align hyperoperation_one hyperoperation_one @[simp] theorem hyperoperation_two : hyperoperation 2 = (· * ·) := by ext m k induction' k with bn bih · rw [hyperoperation] exact (Nat.mul_zero m).symm · rw [hyperoperation_recursion, hyperoperation_one, bih] -- Porting note: was `ring` dsimp only nth_rewrite 1 [← mul_one m] rw [← mul_add, add_comm] #align hyperoperation_two hyperoperation_two @[simp] theorem hyperoperation_three : hyperoperation 3 = (· ^ ·) := by ext m k induction' k with bn bih · rw [hyperoperation_ge_three_eq_one] exact (pow_zero m).symm · rw [hyperoperation_recursion, hyperoperation_two, bih] exact (pow_succ' m bn).symm #align hyperoperation_three hyperoperation_three theorem hyperoperation_ge_two_eq_self (n m : ℕ) : hyperoperation (n + 2) m 1 = m := by induction' n with nn nih · rw [hyperoperation_two] ring · rw [hyperoperation_recursion, hyperoperation_ge_three_eq_one, nih] #align hyperoperation_ge_two_eq_self hyperoperation_ge_two_eq_self theorem hyperoperation_two_two_eq_four (n : ℕ) : hyperoperation (n + 1) 2 2 = 4 := by induction' n with nn nih · rw [hyperoperation_one] · rw [hyperoperation_recursion, hyperoperation_ge_two_eq_self, nih] #align hyperoperation_two_two_eq_four hyperoperation_two_two_eq_four theorem hyperoperation_ge_three_one (n : ℕ) : ∀ k : ℕ, hyperoperation (n + 3) 1 k = 1 := by induction' n with nn nih · intro k rw [hyperoperation_three] dsimp rw [one_pow] · intro k cases k · rw [hyperoperation_ge_three_eq_one] · rw [hyperoperation_recursion, nih] #align hyperoperation_ge_three_one hyperoperation_ge_three_one
Mathlib/Data/Nat/Hyperoperation.lean
116
126
theorem hyperoperation_ge_four_zero (n k : ℕ) : hyperoperation (n + 4) 0 k = if Even k then 1 else 0 := by induction' k with kk kih
induction' k with kk kih · rw [hyperoperation_ge_three_eq_one] simp only [Nat.zero_eq, even_zero, if_true] · rw [hyperoperation_recursion] rw [kih] simp_rw [Nat.even_add_one] split_ifs · exact hyperoperation_ge_two_eq_self (n + 1) 0 · exact hyperoperation_ge_three_eq_one n 0
true
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finsupp.Defs import Mathlib.Data.Finset.Pairwise #align_import data.finsupp.big_operators from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" variable {ι M : Type*} [DecidableEq ι] theorem List.support_sum_subset [AddMonoid M] (l : List (ι →₀ M)) : l.sum.support ⊆ l.foldr (Finsupp.support · ⊔ ·) ∅ := by induction' l with hd tl IH · simp · simp only [List.sum_cons, Finset.union_comm] refine Finsupp.support_add.trans (Finset.union_subset_union ?_ IH) rfl #align list.support_sum_subset List.support_sum_subset theorem Multiset.support_sum_subset [AddCommMonoid M] (s : Multiset (ι →₀ M)) : s.sum.support ⊆ (s.map Finsupp.support).sup := by induction s using Quot.inductionOn simpa only [Multiset.quot_mk_to_coe'', Multiset.sum_coe, Multiset.map_coe, Multiset.sup_coe, List.foldr_map] using List.support_sum_subset _ #align multiset.support_sum_subset Multiset.support_sum_subset
Mathlib/Data/Finsupp/BigOperators.lean
55
57
theorem Finset.support_sum_subset [AddCommMonoid M] (s : Finset (ι →₀ M)) : (s.sum id).support ⊆ Finset.sup s Finsupp.support := by
classical convert Multiset.support_sum_subset s.1; simp
true
import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar #align_import measure_theory.measure.haar.inner_product_space from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open FiniteDimensional MeasureTheory MeasureTheory.Measure Set variable {ι E F : Type*} variable [Fintype ι] [NormedAddCommGroup F] [InnerProductSpace ℝ F] [FiniteDimensional ℝ F] [MeasurableSpace F] [BorelSpace F] section variable {m n : ℕ} [_i : Fact (finrank ℝ F = n)] theorem Orientation.measure_orthonormalBasis (o : Orientation ℝ F (Fin n)) (b : OrthonormalBasis ι ℝ F) : o.volumeForm.measure (parallelepiped b) = 1 := by have e : ι ≃ Fin n := by refine Fintype.equivFinOfCardEq ?_ rw [← _i.out, finrank_eq_card_basis b.toBasis] have A : ⇑b = b.reindex e ∘ e := by ext x simp only [OrthonormalBasis.coe_reindex, Function.comp_apply, Equiv.symm_apply_apply] rw [A, parallelepiped_comp_equiv, AlternatingMap.measure_parallelepiped, o.abs_volumeForm_apply_of_orthonormal, ENNReal.ofReal_one] #align orientation.measure_orthonormal_basis Orientation.measure_orthonormalBasis theorem Orientation.measure_eq_volume (o : Orientation ℝ F (Fin n)) : o.volumeForm.measure = volume := by have A : o.volumeForm.measure (stdOrthonormalBasis ℝ F).toBasis.parallelepiped = 1 := Orientation.measure_orthonormalBasis o (stdOrthonormalBasis ℝ F) rw [addHaarMeasure_unique o.volumeForm.measure (stdOrthonormalBasis ℝ F).toBasis.parallelepiped, A, one_smul] simp only [volume, Basis.addHaar] #align orientation.measure_eq_volume Orientation.measure_eq_volume end theorem OrthonormalBasis.volume_parallelepiped (b : OrthonormalBasis ι ℝ F) : volume (parallelepiped b) = 1 := by haveI : Fact (finrank ℝ F = finrank ℝ F) := ⟨rfl⟩ let o := (stdOrthonormalBasis ℝ F).toBasis.orientation rw [← o.measure_eq_volume] exact o.measure_orthonormalBasis b #align orthonormal_basis.volume_parallelepiped OrthonormalBasis.volume_parallelepiped
Mathlib/MeasureTheory/Measure/Haar/InnerProductSpace.lean
71
76
theorem OrthonormalBasis.addHaar_eq_volume {ι F : Type*} [Fintype ι] [NormedAddCommGroup F] [InnerProductSpace ℝ F] [FiniteDimensional ℝ F] [MeasurableSpace F] [BorelSpace F] (b : OrthonormalBasis ι ℝ F) : b.toBasis.addHaar = volume := by rw [Basis.addHaar_eq_iff]
rw [Basis.addHaar_eq_iff] exact b.volume_parallelepiped
true
import Mathlib.Data.Finset.Basic variable {ι : Sort _} {π : ι → Sort _} {x : ∀ i, π i} [DecidableEq ι] namespace Function def updateFinset (x : ∀ i, π i) (s : Finset ι) (y : ∀ i : ↥s, π i) (i : ι) : π i := if hi : i ∈ s then y ⟨i, hi⟩ else x i open Finset Equiv theorem updateFinset_def {s : Finset ι} {y} : updateFinset x s y = fun i ↦ if hi : i ∈ s then y ⟨i, hi⟩ else x i := rfl @[simp] theorem updateFinset_empty {y} : updateFinset x ∅ y = x := rfl
Mathlib/Data/Finset/Update.lean
35
41
theorem updateFinset_singleton {i y} : updateFinset x {i} y = Function.update x i (y ⟨i, mem_singleton_self i⟩) := by congr with j
congr with j by_cases hj : j = i · cases hj simp only [dif_pos, Finset.mem_singleton, update_same, updateFinset] · simp [hj, updateFinset]
true
import Mathlib.Algebra.Algebra.Spectrum import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.Nilpotent.Basic #align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" universe u v w namespace Module namespace End open FiniteDimensional Set variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K] [AddCommGroup V] [Module K V] def eigenspace (f : End R M) (μ : R) : Submodule R M := LinearMap.ker (f - algebraMap R (End R M) μ) #align module.End.eigenspace Module.End.eigenspace @[simp] theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace] #align module.End.eigenspace_zero Module.End.eigenspace_zero def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop := x ∈ eigenspace f μ ∧ x ≠ 0 #align module.End.has_eigenvector Module.End.HasEigenvector def HasEigenvalue (f : End R M) (a : R) : Prop := eigenspace f a ≠ ⊥ #align module.End.has_eigenvalue Module.End.HasEigenvalue def Eigenvalues (f : End R M) : Type _ := { μ : R // f.HasEigenvalue μ } #align module.End.eigenvalues Module.End.Eigenvalues @[coe] def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where coe := Eigenvalues.val f instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) : DecidableEq (Eigenvalues f) := inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x))) theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) : HasEigenvalue f μ := by rw [HasEigenvalue, Submodule.ne_bot_iff] use x; exact h #align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero] #align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) : f x = μ • x := mem_eigenspace_iff.mp hx.1 #align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) : (f ^ n) v = μ ^ n • v := by induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ] theorem HasEigenvalue.exists_hasEigenvector {f : End R M} {μ : R} (hμ : f.HasEigenvalue μ) : ∃ v, f.HasEigenvector μ v := Submodule.exists_mem_ne_zero_of_ne_bot hμ #align module.End.has_eigenvalue.exists_has_eigenvector Module.End.HasEigenvalue.exists_hasEigenvector lemma HasEigenvalue.pow {f : End R M} {μ : R} (h : f.HasEigenvalue μ) (n : ℕ) : (f ^ n).HasEigenvalue (μ ^ n) := by rw [HasEigenvalue, Submodule.ne_bot_iff] obtain ⟨m : M, hm⟩ := h.exists_hasEigenvector exact ⟨m, by simpa [mem_eigenspace_iff] using hm.pow_apply n, hm.2⟩ lemma HasEigenvalue.isNilpotent_of_isNilpotent [NoZeroSMulDivisors R M] {f : End R M} (hfn : IsNilpotent f) {μ : R} (hf : f.HasEigenvalue μ) : IsNilpotent μ := by obtain ⟨m : M, hm⟩ := hf.exists_hasEigenvector obtain ⟨n : ℕ, hn : f ^ n = 0⟩ := hfn exact ⟨n, by simpa [hn, hm.2, eq_comm (a := (0 : M))] using hm.pow_apply n⟩ theorem HasEigenvalue.mem_spectrum {f : End R M} {μ : R} (hμ : HasEigenvalue f μ) : μ ∈ spectrum R f := by refine spectrum.mem_iff.mpr fun h_unit => ?_ set f' := LinearMap.GeneralLinearGroup.toLinearEquiv h_unit.unit rcases hμ.exists_hasEigenvector with ⟨v, hv⟩ refine hv.2 ((LinearMap.ker_eq_bot'.mp f'.ker) v (?_ : μ • v - f v = 0)) rw [hv.apply_eq_smul, sub_self] #align module.End.mem_spectrum_of_has_eigenvalue Module.End.HasEigenvalue.mem_spectrum theorem hasEigenvalue_iff_mem_spectrum [FiniteDimensional K V] {f : End K V} {μ : K} : f.HasEigenvalue μ ↔ μ ∈ spectrum K f := by rw [spectrum.mem_iff, IsUnit.sub_iff, LinearMap.isUnit_iff_ker_eq_bot, HasEigenvalue, eigenspace] #align module.End.has_eigenvalue_iff_mem_spectrum Module.End.hasEigenvalue_iff_mem_spectrum alias ⟨_, HasEigenvalue.of_mem_spectrum⟩ := hasEigenvalue_iff_mem_spectrum
Mathlib/LinearAlgebra/Eigenspace/Basic.lean
154
163
theorem eigenspace_div (f : End K V) (a b : K) (hb : b ≠ 0) : eigenspace f (a / b) = LinearMap.ker (b • f - algebraMap K (End K V) a) := calc eigenspace f (a / b) = eigenspace f (b⁻¹ * a) := by rw [div_eq_mul_inv, mul_comm]
rw [div_eq_mul_inv, mul_comm] _ = LinearMap.ker (f - (b⁻¹ * a) • LinearMap.id) := by rw [eigenspace]; rfl _ = LinearMap.ker (f - b⁻¹ • a • LinearMap.id) := by rw [smul_smul] _ = LinearMap.ker (f - b⁻¹ • algebraMap K (End K V) a) := rfl _ = LinearMap.ker (b • (f - b⁻¹ • algebraMap K (End K V) a)) := by rw [LinearMap.ker_smul _ b hb] _ = LinearMap.ker (b • f - algebraMap K (End K V) a) := by rw [smul_sub, smul_inv_smul₀ hb]
true
import Mathlib.MeasureTheory.MeasurableSpace.Defs import Mathlib.SetTheory.Cardinal.Cofinality import Mathlib.SetTheory.Cardinal.Continuum #align_import measure_theory.card_measurable_space from "leanprover-community/mathlib"@"f2b108e8e97ba393f22bf794989984ddcc1da89b" universe u variable {α : Type u} open Cardinal Set -- Porting note: fix universe below, not here local notation "ω₁" => (WellOrder.α <| Quotient.out <| Cardinal.ord (aleph 1 : Cardinal)) namespace MeasurableSpace def generateMeasurableRec (s : Set (Set α)) : (ω₁ : Type u) → Set (Set α) | i => let S := ⋃ j : Iio i, generateMeasurableRec s (j.1) s ∪ {∅} ∪ compl '' S ∪ Set.range fun f : ℕ → S => ⋃ n, (f n).1 termination_by i => i decreasing_by exact j.2 #align measurable_space.generate_measurable_rec MeasurableSpace.generateMeasurableRec theorem self_subset_generateMeasurableRec (s : Set (Set α)) (i : ω₁) : s ⊆ generateMeasurableRec s i := by unfold generateMeasurableRec apply_rules [subset_union_of_subset_left] exact subset_rfl #align measurable_space.self_subset_generate_measurable_rec MeasurableSpace.self_subset_generateMeasurableRec theorem empty_mem_generateMeasurableRec (s : Set (Set α)) (i : ω₁) : ∅ ∈ generateMeasurableRec s i := by unfold generateMeasurableRec exact mem_union_left _ (mem_union_left _ (mem_union_right _ (mem_singleton ∅))) #align measurable_space.empty_mem_generate_measurable_rec MeasurableSpace.empty_mem_generateMeasurableRec
Mathlib/MeasureTheory/MeasurableSpace/Card.lean
68
71
theorem compl_mem_generateMeasurableRec {s : Set (Set α)} {i j : ω₁} (h : j < i) {t : Set α} (ht : t ∈ generateMeasurableRec s j) : tᶜ ∈ generateMeasurableRec s i := by unfold generateMeasurableRec
unfold generateMeasurableRec exact mem_union_left _ (mem_union_right _ ⟨t, mem_iUnion.2 ⟨⟨j, h⟩, ht⟩, rfl⟩)
true
import Mathlib.CategoryTheory.NatIso import Mathlib.Logic.Equiv.Defs #align_import category_theory.functor.fully_faithful from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" -- declare the `v`'s first; see `CategoryTheory.Category` for an explanation universe v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] namespace Functor class Full (F : C ⥤ D) : Prop where map_surjective {X Y : C} : Function.Surjective (F.map (X := X) (Y := Y)) #align category_theory.full CategoryTheory.Functor.Full class Faithful (F : C ⥤ D) : Prop where map_injective : ∀ {X Y : C}, Function.Injective (F.map : (X ⟶ Y) → (F.obj X ⟶ F.obj Y)) := by aesop_cat #align category_theory.faithful CategoryTheory.Functor.Faithful #align category_theory.faithful.map_injective CategoryTheory.Functor.Faithful.map_injective variable {X Y : C} theorem map_injective (F : C ⥤ D) [Faithful F] : Function.Injective <| (F.map : (X ⟶ Y) → (F.obj X ⟶ F.obj Y)) := Faithful.map_injective #align category_theory.functor.map_injective CategoryTheory.Functor.map_injective lemma map_injective_iff (F : C ⥤ D) [Faithful F] {X Y : C} (f g : X ⟶ Y) : F.map f = F.map g ↔ f = g := ⟨fun h => F.map_injective h, fun h => by rw [h]⟩ theorem mapIso_injective (F : C ⥤ D) [Faithful F] : Function.Injective <| (F.mapIso : (X ≅ Y) → (F.obj X ≅ F.obj Y)) := fun _ _ h => Iso.ext (map_injective F (congr_arg Iso.hom h : _)) #align category_theory.functor.map_iso_injective CategoryTheory.Functor.mapIso_injective theorem map_surjective (F : C ⥤ D) [Full F] : Function.Surjective (F.map : (X ⟶ Y) → (F.obj X ⟶ F.obj Y)) := Full.map_surjective #align category_theory.functor.map_surjective CategoryTheory.Functor.map_surjective noncomputable def preimage (F : C ⥤ D) [Full F] (f : F.obj X ⟶ F.obj Y) : X ⟶ Y := (F.map_surjective f).choose #align category_theory.functor.preimage CategoryTheory.Functor.preimage @[simp] theorem map_preimage (F : C ⥤ D) [Full F] {X Y : C} (f : F.obj X ⟶ F.obj Y) : F.map (preimage F f) = f := (F.map_surjective f).choose_spec #align category_theory.functor.image_preimage CategoryTheory.Functor.map_preimage variable {F : C ⥤ D} [Full F] [F.Faithful] {X Y Z : C} @[simp] theorem preimage_id : F.preimage (𝟙 (F.obj X)) = 𝟙 X := F.map_injective (by simp) #align category_theory.preimage_id CategoryTheory.Functor.preimage_id @[simp] theorem preimage_comp (f : F.obj X ⟶ F.obj Y) (g : F.obj Y ⟶ F.obj Z) : F.preimage (f ≫ g) = F.preimage f ≫ F.preimage g := F.map_injective (by simp) #align category_theory.preimage_comp CategoryTheory.Functor.preimage_comp @[simp] theorem preimage_map (f : X ⟶ Y) : F.preimage (F.map f) = f := F.map_injective (by simp) #align category_theory.preimage_map CategoryTheory.Functor.preimage_map variable (F) @[simps] noncomputable def preimageIso (f : F.obj X ≅ F.obj Y) : X ≅ Y where hom := F.preimage f.hom inv := F.preimage f.inv hom_inv_id := F.map_injective (by simp) inv_hom_id := F.map_injective (by simp) #align category_theory.functor.preimage_iso CategoryTheory.Functor.preimageIso #align category_theory.functor.preimage_iso_inv CategoryTheory.Functor.preimageIso_inv #align category_theory.functor.preimage_iso_hom CategoryTheory.Functor.preimageIso_hom @[simp]
Mathlib/CategoryTheory/Functor/FullyFaithful.lean
125
127
theorem preimageIso_mapIso (f : X ≅ Y) : F.preimageIso (F.mapIso f) = f := by ext
ext simp
true
import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts #align_import category_theory.limits.shapes.strict_initial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v u namespace CategoryTheory namespace Limits open Category variable (C : Type u) [Category.{v} C] section StrictTerminal class HasStrictTerminalObjects : Prop where out : ∀ {I A : C} (f : I ⟶ A), IsTerminal I → IsIso f #align category_theory.limits.has_strict_terminal_objects CategoryTheory.Limits.HasStrictTerminalObjects variable {C} section variable [HasStrictTerminalObjects C] {I : C} theorem IsTerminal.isIso_from (hI : IsTerminal I) {A : C} (f : I ⟶ A) : IsIso f := HasStrictTerminalObjects.out f hI #align category_theory.limits.is_terminal.is_iso_from CategoryTheory.Limits.IsTerminal.isIso_from
Mathlib/CategoryTheory/Limits/Shapes/StrictInitial.lean
192
195
theorem IsTerminal.strict_hom_ext (hI : IsTerminal I) {A : C} (f g : I ⟶ A) : f = g := by haveI := hI.isIso_from f
haveI := hI.isIso_from f haveI := hI.isIso_from g exact eq_of_inv_eq_inv (hI.hom_ext (inv f) (inv g))
true
import Mathlib.Data.Countable.Basic import Mathlib.Logic.Encodable.Basic import Mathlib.Order.SuccPred.Basic import Mathlib.Order.Interval.Finset.Defs #align_import order.succ_pred.linear_locally_finite from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9" open Order variable {ι : Type*} [LinearOrder ι] namespace LinearLocallyFiniteOrder noncomputable def succFn (i : ι) : ι := (exists_glb_Ioi i).choose #align linear_locally_finite_order.succ_fn LinearLocallyFiniteOrder.succFn theorem succFn_spec (i : ι) : IsGLB (Set.Ioi i) (succFn i) := (exists_glb_Ioi i).choose_spec #align linear_locally_finite_order.succ_fn_spec LinearLocallyFiniteOrder.succFn_spec theorem le_succFn (i : ι) : i ≤ succFn i := by rw [le_isGLB_iff (succFn_spec i), mem_lowerBounds] exact fun x hx ↦ le_of_lt hx #align linear_locally_finite_order.le_succ_fn LinearLocallyFiniteOrder.le_succFn theorem isGLB_Ioc_of_isGLB_Ioi {i j k : ι} (hij_lt : i < j) (h : IsGLB (Set.Ioi i) k) : IsGLB (Set.Ioc i j) k := by simp_rw [IsGLB, IsGreatest, mem_upperBounds, mem_lowerBounds] at h ⊢ refine ⟨fun x hx ↦ h.1 x hx.1, fun x hx ↦ h.2 x ?_⟩ intro y hy rcases le_or_lt y j with h_le | h_lt · exact hx y ⟨hy, h_le⟩ · exact le_trans (hx j ⟨hij_lt, le_rfl⟩) h_lt.le #align linear_locally_finite_order.is_glb_Ioc_of_is_glb_Ioi LinearLocallyFiniteOrder.isGLB_Ioc_of_isGLB_Ioi theorem isMax_of_succFn_le [LocallyFiniteOrder ι] (i : ι) (hi : succFn i ≤ i) : IsMax i := by refine fun j _ ↦ not_lt.mp fun hij_lt ↦ ?_ have h_succFn_eq : succFn i = i := le_antisymm hi (le_succFn i) have h_glb : IsGLB (Finset.Ioc i j : Set ι) i := by rw [Finset.coe_Ioc] have h := succFn_spec i rw [h_succFn_eq] at h exact isGLB_Ioc_of_isGLB_Ioi hij_lt h have hi_mem : i ∈ Finset.Ioc i j := by refine Finset.isGLB_mem _ h_glb ?_ exact ⟨_, Finset.mem_Ioc.mpr ⟨hij_lt, le_rfl⟩⟩ rw [Finset.mem_Ioc] at hi_mem exact lt_irrefl i hi_mem.1 #align linear_locally_finite_order.is_max_of_succ_fn_le LinearLocallyFiniteOrder.isMax_of_succFn_le theorem succFn_le_of_lt (i j : ι) (hij : i < j) : succFn i ≤ j := by have h := succFn_spec i rw [IsGLB, IsGreatest, mem_lowerBounds] at h exact h.1 j hij #align linear_locally_finite_order.succ_fn_le_of_lt LinearLocallyFiniteOrder.succFn_le_of_lt
Mathlib/Order/SuccPred/LinearLocallyFinite.lean
108
112
theorem le_of_lt_succFn (j i : ι) (hij : j < succFn i) : j ≤ i := by rw [lt_isGLB_iff (succFn_spec i)] at hij
rw [lt_isGLB_iff (succFn_spec i)] at hij obtain ⟨k, hk_lb, hk⟩ := hij rw [mem_lowerBounds] at hk_lb exact not_lt.mp fun hi_lt_j ↦ not_le.mpr hk (hk_lb j hi_lt_j)
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Polynomial.Degree.Lemmas #align_import data.polynomial.erase_lead from "leanprover-community/mathlib"@"fa256f00ce018e7b40e1dc756e403c86680bf448" noncomputable section open Polynomial open Polynomial Finset namespace Polynomial variable {R : Type*} [Semiring R] {f : R[X]} def eraseLead (f : R[X]) : R[X] := Polynomial.erase f.natDegree f #align polynomial.erase_lead Polynomial.eraseLead section EraseLead theorem eraseLead_support (f : R[X]) : f.eraseLead.support = f.support.erase f.natDegree := by simp only [eraseLead, support_erase] #align polynomial.erase_lead_support Polynomial.eraseLead_support theorem eraseLead_coeff (i : ℕ) : f.eraseLead.coeff i = if i = f.natDegree then 0 else f.coeff i := by simp only [eraseLead, coeff_erase] #align polynomial.erase_lead_coeff Polynomial.eraseLead_coeff @[simp] theorem eraseLead_coeff_natDegree : f.eraseLead.coeff f.natDegree = 0 := by simp [eraseLead_coeff] #align polynomial.erase_lead_coeff_nat_degree Polynomial.eraseLead_coeff_natDegree theorem eraseLead_coeff_of_ne (i : ℕ) (hi : i ≠ f.natDegree) : f.eraseLead.coeff i = f.coeff i := by simp [eraseLead_coeff, hi] #align polynomial.erase_lead_coeff_of_ne Polynomial.eraseLead_coeff_of_ne @[simp] theorem eraseLead_zero : eraseLead (0 : R[X]) = 0 := by simp only [eraseLead, erase_zero] #align polynomial.erase_lead_zero Polynomial.eraseLead_zero @[simp] theorem eraseLead_add_monomial_natDegree_leadingCoeff (f : R[X]) : f.eraseLead + monomial f.natDegree f.leadingCoeff = f := (add_comm _ _).trans (f.monomial_add_erase _) #align polynomial.erase_lead_add_monomial_nat_degree_leading_coeff Polynomial.eraseLead_add_monomial_natDegree_leadingCoeff @[simp] theorem eraseLead_add_C_mul_X_pow (f : R[X]) : f.eraseLead + C f.leadingCoeff * X ^ f.natDegree = f := by rw [C_mul_X_pow_eq_monomial, eraseLead_add_monomial_natDegree_leadingCoeff] set_option linter.uppercaseLean3 false in #align polynomial.erase_lead_add_C_mul_X_pow Polynomial.eraseLead_add_C_mul_X_pow @[simp] theorem self_sub_monomial_natDegree_leadingCoeff {R : Type*} [Ring R] (f : R[X]) : f - monomial f.natDegree f.leadingCoeff = f.eraseLead := (eq_sub_iff_add_eq.mpr (eraseLead_add_monomial_natDegree_leadingCoeff f)).symm #align polynomial.self_sub_monomial_nat_degree_leading_coeff Polynomial.self_sub_monomial_natDegree_leadingCoeff @[simp] theorem self_sub_C_mul_X_pow {R : Type*} [Ring R] (f : R[X]) : f - C f.leadingCoeff * X ^ f.natDegree = f.eraseLead := by rw [C_mul_X_pow_eq_monomial, self_sub_monomial_natDegree_leadingCoeff] set_option linter.uppercaseLean3 false in #align polynomial.self_sub_C_mul_X_pow Polynomial.self_sub_C_mul_X_pow theorem eraseLead_ne_zero (f0 : 2 ≤ f.support.card) : eraseLead f ≠ 0 := by rw [Ne, ← card_support_eq_zero, eraseLead_support] exact (zero_lt_one.trans_le <| (tsub_le_tsub_right f0 1).trans Finset.pred_card_le_card_erase).ne.symm #align polynomial.erase_lead_ne_zero Polynomial.eraseLead_ne_zero theorem lt_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) : a < f.natDegree := by rw [eraseLead_support, mem_erase] at h exact (le_natDegree_of_mem_supp a h.2).lt_of_ne h.1 #align polynomial.lt_nat_degree_of_mem_erase_lead_support Polynomial.lt_natDegree_of_mem_eraseLead_support theorem ne_natDegree_of_mem_eraseLead_support {a : ℕ} (h : a ∈ (eraseLead f).support) : a ≠ f.natDegree := (lt_natDegree_of_mem_eraseLead_support h).ne #align polynomial.ne_nat_degree_of_mem_erase_lead_support Polynomial.ne_natDegree_of_mem_eraseLead_support theorem natDegree_not_mem_eraseLead_support : f.natDegree ∉ (eraseLead f).support := fun h => ne_natDegree_of_mem_eraseLead_support h rfl #align polynomial.nat_degree_not_mem_erase_lead_support Polynomial.natDegree_not_mem_eraseLead_support theorem eraseLead_support_card_lt (h : f ≠ 0) : (eraseLead f).support.card < f.support.card := by rw [eraseLead_support] exact card_lt_card (erase_ssubset <| natDegree_mem_support_of_nonzero h) #align polynomial.erase_lead_support_card_lt Polynomial.eraseLead_support_card_lt
Mathlib/Algebra/Polynomial/EraseLead.lean
115
124
theorem card_support_eraseLead_add_one (h : f ≠ 0) : f.eraseLead.support.card + 1 = f.support.card := by set c := f.support.card with hc
set c := f.support.card with hc cases h₁ : c case zero => by_contra exact h (card_support_eq_zero.mp h₁) case succ => rw [eraseLead_support, card_erase_of_mem (natDegree_mem_support_of_nonzero h), ← hc, h₁] rfl
true
import Mathlib.Algebra.EuclideanDomain.Defs import Mathlib.Algebra.Ring.Divisibility.Basic import Mathlib.Algebra.Ring.Regular import Mathlib.Algebra.GroupWithZero.Divisibility import Mathlib.Algebra.Ring.Basic #align_import algebra.euclidean_domain.basic from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6" universe u namespace EuclideanDomain variable {R : Type u} variable [EuclideanDomain R] local infixl:50 " ≺ " => EuclideanDomain.R -- See note [lower instance priority] instance (priority := 100) toMulDivCancelClass : MulDivCancelClass R where mul_div_cancel a b hb := by refine (eq_of_sub_eq_zero ?_).symm by_contra h have := mul_right_not_lt b h rw [sub_mul, mul_comm (_ / _), sub_eq_iff_eq_add'.2 (div_add_mod (a * b) b).symm] at this exact this (mod_lt _ hb) #align euclidean_domain.mul_div_cancel_left mul_div_cancel_left₀ #align euclidean_domain.mul_div_cancel mul_div_cancel_right₀ @[simp] theorem mod_eq_zero {a b : R} : a % b = 0 ↔ b ∣ a := ⟨fun h => by rw [← div_add_mod a b, h, add_zero] exact dvd_mul_right _ _, fun ⟨c, e⟩ => by rw [e, ← add_left_cancel_iff, div_add_mod, add_zero] haveI := Classical.dec by_cases b0 : b = 0 · simp only [b0, zero_mul] · rw [mul_div_cancel_left₀ _ b0]⟩ #align euclidean_domain.mod_eq_zero EuclideanDomain.mod_eq_zero @[simp] theorem mod_self (a : R) : a % a = 0 := mod_eq_zero.2 dvd_rfl #align euclidean_domain.mod_self EuclideanDomain.mod_self
Mathlib/Algebra/EuclideanDomain/Basic.lean
63
64
theorem dvd_mod_iff {a b c : R} (h : c ∣ b) : c ∣ a % b ↔ c ∣ a := by
rw [← dvd_add_right (h.mul_right _), div_add_mod]
true
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Bits import Mathlib.Data.Nat.Log import Mathlib.Data.List.Indexes import Mathlib.Data.List.Palindrome import Mathlib.Tactic.IntervalCases import Mathlib.Tactic.Linarith import Mathlib.Tactic.Ring #align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace Nat variable {n : ℕ} def digitsAux0 : ℕ → List ℕ | 0 => [] | n + 1 => [n + 1] #align nat.digits_aux_0 Nat.digitsAux0 def digitsAux1 (n : ℕ) : List ℕ := List.replicate n 1 #align nat.digits_aux_1 Nat.digitsAux1 def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ | 0 => [] | n + 1 => ((n + 1) % b) :: digitsAux b h ((n + 1) / b) decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h #align nat.digits_aux Nat.digitsAux @[simp]
Mathlib/Data/Nat/Digits.lean
60
60
theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by
rw [digitsAux]
true
import Mathlib.CategoryTheory.Limits.Types import Mathlib.CategoryTheory.IsConnected import Mathlib.CategoryTheory.Limits.Final import Mathlib.CategoryTheory.Conj universe w v u namespace CategoryTheory.Limits.Types variable (C : Type u) [Category.{v} C] def constPUnitFunctor : C ⥤ Type w := (Functor.const C).obj PUnit.{w + 1} @[simps] def pUnitCocone : Cocone (constPUnitFunctor.{w} C) where pt := PUnit ι := { app := fun X => id } noncomputable def isColimitPUnitCocone [IsConnected C] : IsColimit (pUnitCocone.{w} C) where desc s := s.ι.app Classical.ofNonempty fac s j := by ext ⟨⟩ apply constant_of_preserves_morphisms (s.ι.app · PUnit.unit) intros X Y f exact congrFun (s.ι.naturality f).symm PUnit.unit uniq s m h := by ext ⟨⟩ simp [← h Classical.ofNonempty] instance instHasColimitConstPUnitFunctor [IsConnected C] : HasColimit (constPUnitFunctor.{w} C) := ⟨_, isColimitPUnitCocone _⟩ instance instSubsingletonColimitPUnit [IsPreconnected C] [HasColimit (constPUnitFunctor.{w} C)] : Subsingleton (colimit (constPUnitFunctor.{w} C)) where allEq a b := by obtain ⟨c, ⟨⟩, rfl⟩ := jointly_surjective' a obtain ⟨d, ⟨⟩, rfl⟩ := jointly_surjective' b apply constant_of_preserves_morphisms (colimit.ι (constPUnitFunctor C) · PUnit.unit) exact fun c d f => colimit_sound f rfl noncomputable def colimitConstPUnitIsoPUnit [IsConnected C] : colimit (constPUnitFunctor.{w} C) ≅ PUnit.{w + 1} := IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (isColimitPUnitCocone.{w} C) theorem zigzag_of_eqvGen_quot_rel (F : C ⥤ Type w) (c d : Σ j, F.obj j) (h : EqvGen (Quot.Rel F) c d) : Zigzag c.1 d.1 := by induction h with | rel _ _ h => exact Zigzag.of_hom <| Exists.choose h | refl _ => exact Zigzag.refl _ | symm _ _ _ ih => exact zigzag_symmetric ih | trans _ _ _ _ _ ih₁ ih₂ => exact ih₁.trans ih₂ theorem isConnected_iff_colimit_constPUnitFunctor_iso_pUnit [HasColimit (constPUnitFunctor.{w} C)] : IsConnected C ↔ Nonempty (colimit (constPUnitFunctor.{w} C) ≅ PUnit) := by refine ⟨fun _ => ⟨colimitConstPUnitIsoPUnit.{w} C⟩, fun ⟨h⟩ => ?_⟩ have : Nonempty C := nonempty_of_nonempty_colimit <| Nonempty.map h.inv inferInstance refine zigzag_isConnected <| fun c d => ?_ refine zigzag_of_eqvGen_quot_rel _ (constPUnitFunctor C) ⟨c, PUnit.unit⟩ ⟨d, PUnit.unit⟩ ?_ exact colimit_eq <| h.toEquiv.injective rfl
Mathlib/CategoryTheory/Limits/IsConnected.lean
106
112
theorem isConnected_iff_isColimit_pUnitCocone : IsConnected C ↔ Nonempty (IsColimit (pUnitCocone.{w} C)) := by refine ⟨fun inst => ⟨isColimitPUnitCocone C⟩, fun ⟨h⟩ => ?_⟩
refine ⟨fun inst => ⟨isColimitPUnitCocone C⟩, fun ⟨h⟩ => ?_⟩ let colimitCocone : ColimitCocone (constPUnitFunctor C) := ⟨pUnitCocone.{w} C, h⟩ have : HasColimit (constPUnitFunctor.{w} C) := ⟨⟨colimitCocone⟩⟩ simp only [isConnected_iff_colimit_constPUnitFunctor_iso_pUnit.{w} C] exact ⟨colimit.isoColimitCocone colimitCocone⟩
true
import Mathlib.Algebra.Regular.Basic import Mathlib.LinearAlgebra.Matrix.MvPolynomial import Mathlib.LinearAlgebra.Matrix.Polynomial import Mathlib.RingTheory.Polynomial.Basic #align_import linear_algebra.matrix.adjugate from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a" namespace Matrix universe u v w variable {m : Type u} {n : Type v} {α : Type w} variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m] [CommRing α] open Matrix Polynomial Equiv Equiv.Perm Finset section Cramer variable (A : Matrix n n α) (b : n → α) def cramerMap (i : n) : α := (A.updateColumn i b).det #align matrix.cramer_map Matrix.cramerMap theorem cramerMap_is_linear (i : n) : IsLinearMap α fun b => cramerMap A b i := { map_add := det_updateColumn_add _ _ map_smul := det_updateColumn_smul _ _ } #align matrix.cramer_map_is_linear Matrix.cramerMap_is_linear theorem cramer_is_linear : IsLinearMap α (cramerMap A) := by constructor <;> intros <;> ext i · apply (cramerMap_is_linear A i).1 · apply (cramerMap_is_linear A i).2 #align matrix.cramer_is_linear Matrix.cramer_is_linear def cramer (A : Matrix n n α) : (n → α) →ₗ[α] (n → α) := IsLinearMap.mk' (cramerMap A) (cramer_is_linear A) #align matrix.cramer Matrix.cramer theorem cramer_apply (i : n) : cramer A b i = (A.updateColumn i b).det := rfl #align matrix.cramer_apply Matrix.cramer_apply theorem cramer_transpose_apply (i : n) : cramer Aᵀ b i = (A.updateRow i b).det := by rw [cramer_apply, updateColumn_transpose, det_transpose] #align matrix.cramer_transpose_apply Matrix.cramer_transpose_apply theorem cramer_transpose_row_self (i : n) : Aᵀ.cramer (A i) = Pi.single i A.det := by ext j rw [cramer_apply, Pi.single_apply] split_ifs with h · -- i = j: this entry should be `A.det` subst h simp only [updateColumn_transpose, det_transpose, updateRow_eq_self] · -- i ≠ j: this entry should be 0 rw [updateColumn_transpose, det_transpose] apply det_zero_of_row_eq h rw [updateRow_self, updateRow_ne (Ne.symm h)] #align matrix.cramer_transpose_row_self Matrix.cramer_transpose_row_self theorem cramer_row_self (i : n) (h : ∀ j, b j = A j i) : A.cramer b = Pi.single i A.det := by rw [← transpose_transpose A, det_transpose] convert cramer_transpose_row_self Aᵀ i exact funext h #align matrix.cramer_row_self Matrix.cramer_row_self @[simp] theorem cramer_one : cramer (1 : Matrix n n α) = 1 := by -- Porting note: was `ext i j` refine LinearMap.pi_ext' (fun (i : n) => LinearMap.ext_ring (funext (fun (j : n) => ?_))) convert congr_fun (cramer_row_self (1 : Matrix n n α) (Pi.single i 1) i _) j · simp · intro j rw [Matrix.one_eq_pi_single, Pi.single_comm] #align matrix.cramer_one Matrix.cramer_one theorem cramer_smul (r : α) (A : Matrix n n α) : cramer (r • A) = r ^ (Fintype.card n - 1) • cramer A := LinearMap.ext fun _ => funext fun _ => det_updateColumn_smul' _ _ _ _ #align matrix.cramer_smul Matrix.cramer_smul @[simp] theorem cramer_subsingleton_apply [Subsingleton n] (A : Matrix n n α) (b : n → α) (i : n) : cramer A b i = b i := by rw [cramer_apply, det_eq_elem_of_subsingleton _ i, updateColumn_self] #align matrix.cramer_subsingleton_apply Matrix.cramer_subsingleton_apply
Mathlib/LinearAlgebra/Matrix/Adjugate.lean
145
150
theorem cramer_zero [Nontrivial n] : cramer (0 : Matrix n n α) = 0 := by ext i j
ext i j obtain ⟨j', hj'⟩ : ∃ j', j' ≠ j := exists_ne j apply det_eq_zero_of_column_eq_zero j' intro j'' simp [updateColumn_ne hj']
true
import Mathlib.Analysis.Convex.Topology import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Analysis.Seminorm import Mathlib.Analysis.LocallyConvex.Bounded import Mathlib.Analysis.RCLike.Basic #align_import analysis.convex.gauge from "leanprover-community/mathlib"@"373b03b5b9d0486534edbe94747f23cb3712f93d" open NormedField Set open scoped Pointwise Topology NNReal noncomputable section variable {𝕜 E F : Type*} section AddCommGroup variable [AddCommGroup E] [Module ℝ E] def gauge (s : Set E) (x : E) : ℝ := sInf { r : ℝ | 0 < r ∧ x ∈ r • s } #align gauge gauge variable {s t : Set E} {x : E} {a : ℝ} theorem gauge_def : gauge s x = sInf ({ r ∈ Set.Ioi (0 : ℝ) | x ∈ r • s }) := rfl #align gauge_def gauge_def theorem gauge_def' : gauge s x = sInf {r ∈ Set.Ioi (0 : ℝ) | r⁻¹ • x ∈ s} := by congrm sInf {r | ?_} exact and_congr_right fun hr => mem_smul_set_iff_inv_smul_mem₀ hr.ne' _ _ #align gauge_def' gauge_def' private theorem gauge_set_bddBelow : BddBelow { r : ℝ | 0 < r ∧ x ∈ r • s } := ⟨0, fun _ hr => hr.1.le⟩ theorem Absorbent.gauge_set_nonempty (absorbs : Absorbent ℝ s) : { r : ℝ | 0 < r ∧ x ∈ r • s }.Nonempty := let ⟨r, hr₁, hr₂⟩ := (absorbs x).exists_pos ⟨r, hr₁, hr₂ r (Real.norm_of_nonneg hr₁.le).ge rfl⟩ #align absorbent.gauge_set_nonempty Absorbent.gauge_set_nonempty theorem gauge_mono (hs : Absorbent ℝ s) (h : s ⊆ t) : gauge t ≤ gauge s := fun _ => csInf_le_csInf gauge_set_bddBelow hs.gauge_set_nonempty fun _ hr => ⟨hr.1, smul_set_mono h hr.2⟩ #align gauge_mono gauge_mono theorem exists_lt_of_gauge_lt (absorbs : Absorbent ℝ s) (h : gauge s x < a) : ∃ b, 0 < b ∧ b < a ∧ x ∈ b • s := by obtain ⟨b, ⟨hb, hx⟩, hba⟩ := exists_lt_of_csInf_lt absorbs.gauge_set_nonempty h exact ⟨b, hb, hba, hx⟩ #align exists_lt_of_gauge_lt exists_lt_of_gauge_lt @[simp] theorem gauge_zero : gauge s 0 = 0 := by rw [gauge_def'] by_cases h : (0 : E) ∈ s · simp only [smul_zero, sep_true, h, csInf_Ioi] · simp only [smul_zero, sep_false, h, Real.sInf_empty] #align gauge_zero gauge_zero @[simp] theorem gauge_zero' : gauge (0 : Set E) = 0 := by ext x rw [gauge_def'] obtain rfl | hx := eq_or_ne x 0 · simp only [csInf_Ioi, mem_zero, Pi.zero_apply, eq_self_iff_true, sep_true, smul_zero] · simp only [mem_zero, Pi.zero_apply, inv_eq_zero, smul_eq_zero] convert Real.sInf_empty exact eq_empty_iff_forall_not_mem.2 fun r hr => hr.2.elim (ne_of_gt hr.1) hx #align gauge_zero' gauge_zero' @[simp] theorem gauge_empty : gauge (∅ : Set E) = 0 := by ext simp only [gauge_def', Real.sInf_empty, mem_empty_iff_false, Pi.zero_apply, sep_false] #align gauge_empty gauge_empty theorem gauge_of_subset_zero (h : s ⊆ 0) : gauge s = 0 := by obtain rfl | rfl := subset_singleton_iff_eq.1 h exacts [gauge_empty, gauge_zero'] #align gauge_of_subset_zero gauge_of_subset_zero theorem gauge_nonneg (x : E) : 0 ≤ gauge s x := Real.sInf_nonneg _ fun _ hx => hx.1.le #align gauge_nonneg gauge_nonneg theorem gauge_neg (symmetric : ∀ x ∈ s, -x ∈ s) (x : E) : gauge s (-x) = gauge s x := by have : ∀ x, -x ∈ s ↔ x ∈ s := fun x => ⟨fun h => by simpa using symmetric _ h, symmetric x⟩ simp_rw [gauge_def', smul_neg, this] #align gauge_neg gauge_neg
Mathlib/Analysis/Convex/Gauge.lean
134
135
theorem gauge_neg_set_neg (x : E) : gauge (-s) (-x) = gauge s x := by
simp_rw [gauge_def', smul_neg, neg_mem_neg]
true
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
Mathlib/Algebra/Polynomial/Reverse.lean
105
109
theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩
rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image]
true
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] 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] #align ideal.mem_quotient_iff_mem_sup Ideal.mem_quotient_iff_mem_sup
Mathlib/RingTheory/Ideal/QuotientOperations.lean
189
191
theorem mem_quotient_iff_mem {I J : Ideal R} (hIJ : I ≤ J) {x : R} : Quotient.mk I x ∈ J.map (Quotient.mk I) ↔ x ∈ J := by
rw [mem_quotient_iff_mem_sup, sup_eq_left.mpr hIJ]
true
import Mathlib.Analysis.Calculus.ContDiff.Bounds import Mathlib.Analysis.Calculus.IteratedDeriv.Defs import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.LocallyConvex.WithSeminorms import Mathlib.Analysis.Normed.Group.ZeroAtInfty import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Analysis.SpecialFunctions.JapaneseBracket import Mathlib.Topology.Algebra.UniformFilterBasis import Mathlib.Tactic.MoveAdd #align_import analysis.schwartz_space from "leanprover-community/mathlib"@"e137999b2c6f2be388f4cd3bbf8523de1910cd2b" noncomputable section open scoped Nat NNReal variable {𝕜 𝕜' D E F G V : Type*} variable [NormedAddCommGroup E] [NormedSpace ℝ E] variable [NormedAddCommGroup F] [NormedSpace ℝ F] variable (E F) structure SchwartzMap where toFun : E → F smooth' : ContDiff ℝ ⊤ toFun decay' : ∀ k n : ℕ, ∃ C : ℝ, ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n toFun x‖ ≤ C #align schwartz_map SchwartzMap scoped[SchwartzMap] notation "𝓢(" E ", " F ")" => SchwartzMap E F variable {E F} namespace SchwartzMap -- Porting note: removed -- instance : Coe 𝓢(E, F) (E → F) := ⟨toFun⟩ instance instFunLike : FunLike 𝓢(E, F) E F where coe f := f.toFun coe_injective' f g h := by cases f; cases g; congr #align schwartz_map.fun_like SchwartzMap.instFunLike instance instCoeFun : CoeFun 𝓢(E, F) fun _ => E → F := DFunLike.hasCoeToFun #align schwartz_map.has_coe_to_fun SchwartzMap.instCoeFun theorem decay (f : 𝓢(E, F)) (k n : ℕ) : ∃ C : ℝ, 0 < C ∧ ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ C := by rcases f.decay' k n with ⟨C, hC⟩ exact ⟨max C 1, by positivity, fun x => (hC x).trans (le_max_left _ _)⟩ #align schwartz_map.decay SchwartzMap.decay theorem smooth (f : 𝓢(E, F)) (n : ℕ∞) : ContDiff ℝ n f := f.smooth'.of_le le_top #align schwartz_map.smooth SchwartzMap.smooth @[continuity] protected theorem continuous (f : 𝓢(E, F)) : Continuous f := (f.smooth 0).continuous #align schwartz_map.continuous SchwartzMap.continuous instance instContinuousMapClass : ContinuousMapClass 𝓢(E, F) E F where map_continuous := SchwartzMap.continuous protected theorem differentiable (f : 𝓢(E, F)) : Differentiable ℝ f := (f.smooth 1).differentiable rfl.le #align schwartz_map.differentiable SchwartzMap.differentiable protected theorem differentiableAt (f : 𝓢(E, F)) {x : E} : DifferentiableAt ℝ f x := f.differentiable.differentiableAt #align schwartz_map.differentiable_at SchwartzMap.differentiableAt @[ext] theorem ext {f g : 𝓢(E, F)} (h : ∀ x, (f : E → F) x = g x) : f = g := DFunLike.ext f g h #align schwartz_map.ext SchwartzMap.ext section Aux theorem bounds_nonempty (k n : ℕ) (f : 𝓢(E, F)) : ∃ c : ℝ, c ∈ { c : ℝ | 0 ≤ c ∧ ∀ x : E, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ c } := let ⟨M, hMp, hMb⟩ := f.decay k n ⟨M, le_of_lt hMp, hMb⟩ #align schwartz_map.bounds_nonempty SchwartzMap.bounds_nonempty theorem bounds_bddBelow (k n : ℕ) (f : 𝓢(E, F)) : BddBelow { c | 0 ≤ c ∧ ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ c } := ⟨0, fun _ ⟨hn, _⟩ => hn⟩ #align schwartz_map.bounds_bdd_below SchwartzMap.bounds_bddBelow theorem decay_add_le_aux (k n : ℕ) (f g : 𝓢(E, F)) (x : E) : ‖x‖ ^ k * ‖iteratedFDeriv ℝ n ((f : E → F) + (g : E → F)) x‖ ≤ ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ + ‖x‖ ^ k * ‖iteratedFDeriv ℝ n g x‖ := by rw [← mul_add] refine mul_le_mul_of_nonneg_left ?_ (by positivity) rw [iteratedFDeriv_add_apply (f.smooth _) (g.smooth _)] exact norm_add_le _ _ #align schwartz_map.decay_add_le_aux SchwartzMap.decay_add_le_aux
Mathlib/Analysis/Distribution/SchwartzSpace.lean
203
205
theorem decay_neg_aux (k n : ℕ) (f : 𝓢(E, F)) (x : E) : ‖x‖ ^ k * ‖iteratedFDeriv ℝ n (-f : E → F) x‖ = ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ := by
rw [iteratedFDeriv_neg_apply, norm_neg]
true
import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.Valuation.PrimeMultiplicity import Mathlib.RingTheory.AdicCompletion.Basic #align_import ring_theory.discrete_valuation_ring.basic from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68" open scoped Classical universe u open Ideal LocalRing class DiscreteValuationRing (R : Type u) [CommRing R] [IsDomain R] extends IsPrincipalIdealRing R, LocalRing R : Prop where not_a_field' : maximalIdeal R ≠ ⊥ #align discrete_valuation_ring DiscreteValuationRing namespace DiscreteValuationRing variable (R : Type u) [CommRing R] [IsDomain R] [DiscreteValuationRing R] theorem not_a_field : maximalIdeal R ≠ ⊥ := not_a_field' #align discrete_valuation_ring.not_a_field DiscreteValuationRing.not_a_field theorem not_isField : ¬IsField R := LocalRing.isField_iff_maximalIdeal_eq.not.mpr (not_a_field R) #align discrete_valuation_ring.not_is_field DiscreteValuationRing.not_isField variable {R} open PrincipalIdealRing theorem irreducible_of_span_eq_maximalIdeal {R : Type*} [CommRing R] [LocalRing R] [IsDomain R] (ϖ : R) (hϖ : ϖ ≠ 0) (h : maximalIdeal R = Ideal.span {ϖ}) : Irreducible ϖ := by have h2 : ¬IsUnit ϖ := show ϖ ∈ maximalIdeal R from h.symm ▸ Submodule.mem_span_singleton_self ϖ refine ⟨h2, ?_⟩ intro a b hab by_contra! h obtain ⟨ha : a ∈ maximalIdeal R, hb : b ∈ maximalIdeal R⟩ := h rw [h, mem_span_singleton'] at ha hb rcases ha with ⟨a, rfl⟩ rcases hb with ⟨b, rfl⟩ rw [show a * ϖ * (b * ϖ) = ϖ * (ϖ * (a * b)) by ring] at hab apply hϖ apply eq_zero_of_mul_eq_self_right _ hab.symm exact fun hh => h2 (isUnit_of_dvd_one ⟨_, hh.symm⟩) #align discrete_valuation_ring.irreducible_of_span_eq_maximal_ideal DiscreteValuationRing.irreducible_of_span_eq_maximalIdeal theorem irreducible_iff_uniformizer (ϖ : R) : Irreducible ϖ ↔ maximalIdeal R = Ideal.span {ϖ} := ⟨fun hϖ => (eq_maximalIdeal (isMaximal_of_irreducible hϖ)).symm, fun h => irreducible_of_span_eq_maximalIdeal ϖ (fun e => not_a_field R <| by rwa [h, span_singleton_eq_bot]) h⟩ #align discrete_valuation_ring.irreducible_iff_uniformizer DiscreteValuationRing.irreducible_iff_uniformizer theorem _root_.Irreducible.maximalIdeal_eq {ϖ : R} (h : Irreducible ϖ) : maximalIdeal R = Ideal.span {ϖ} := (irreducible_iff_uniformizer _).mp h #align irreducible.maximal_ideal_eq Irreducible.maximalIdeal_eq variable (R)
Mathlib/RingTheory/DiscreteValuationRing/Basic.lean
107
109
theorem exists_irreducible : ∃ ϖ : R, Irreducible ϖ := by simp_rw [irreducible_iff_uniformizer]
simp_rw [irreducible_iff_uniformizer] exact (IsPrincipalIdealRing.principal <| maximalIdeal R).principal
true
import Mathlib.Data.Matrix.Block import Mathlib.Data.Matrix.Notation import Mathlib.LinearAlgebra.StdBasis import Mathlib.RingTheory.AlgebraTower import Mathlib.Algebra.Algebra.Subalgebra.Tower #align_import linear_algebra.matrix.to_lin from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6" noncomputable section open LinearMap Matrix Set Submodule section ToMatrixRight variable {R : Type*} [Semiring R] variable {l m n : Type*} def Matrix.vecMulLinear [Fintype m] (M : Matrix m n R) : (m → R) →ₗ[R] n → R where toFun x := x ᵥ* M map_add' _ _ := funext fun _ ↦ add_dotProduct _ _ _ map_smul' _ _ := funext fun _ ↦ smul_dotProduct _ _ _ #align matrix.vec_mul_linear Matrix.vecMulLinear @[simp] theorem Matrix.vecMulLinear_apply [Fintype m] (M : Matrix m n R) (x : m → R) : M.vecMulLinear x = x ᵥ* M := rfl theorem Matrix.coe_vecMulLinear [Fintype m] (M : Matrix m n R) : (M.vecMulLinear : _ → _) = M.vecMul := rfl variable [Fintype m] [DecidableEq m] @[simp]
Mathlib/LinearAlgebra/Matrix/ToLin.lean
91
99
theorem Matrix.vecMul_stdBasis (M : Matrix m n R) (i j) : (LinearMap.stdBasis R (fun _ ↦ R) i 1 ᵥ* M) j = M i j := by have : (∑ i', (if i = i' then 1 else 0) * M i' j) = M i j := by
have : (∑ i', (if i = i' then 1 else 0) * M i' j) = M i j := by simp_rw [boole_mul, Finset.sum_ite_eq, Finset.mem_univ, if_true] simp only [vecMul, dotProduct] convert this split_ifs with h <;> simp only [stdBasis_apply] · rw [h, Function.update_same] · rw [Function.update_noteq (Ne.symm h), Pi.zero_apply]
true
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Algebra.Module.Pi #align_import data.holor from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" universe u open List def HolorIndex (ds : List ℕ) : Type := { is : List ℕ // Forall₂ (· < ·) is ds } #align holor_index HolorIndex namespace HolorIndex variable {ds₁ ds₂ ds₃ : List ℕ} def take : ∀ {ds₁ : List ℕ}, HolorIndex (ds₁ ++ ds₂) → HolorIndex ds₁ | ds, is => ⟨List.take (length ds) is.1, forall₂_take_append is.1 ds ds₂ is.2⟩ #align holor_index.take HolorIndex.take def drop : ∀ {ds₁ : List ℕ}, HolorIndex (ds₁ ++ ds₂) → HolorIndex ds₂ | ds, is => ⟨List.drop (length ds) is.1, forall₂_drop_append is.1 ds ds₂ is.2⟩ #align holor_index.drop HolorIndex.drop
Mathlib/Data/Holor.lean
58
59
theorem cast_type (is : List ℕ) (eq : ds₁ = ds₂) (h : Forall₂ (· < ·) is ds₁) : (cast (congr_arg HolorIndex eq) ⟨is, h⟩).val = is := by
subst eq; rfl
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Polynomial.Degree.Lemmas #align_import data.polynomial.erase_lead from "leanprover-community/mathlib"@"fa256f00ce018e7b40e1dc756e403c86680bf448" noncomputable section open Polynomial open Polynomial Finset namespace Polynomial variable {R : Type*} [Semiring R] {f : R[X]} def eraseLead (f : R[X]) : R[X] := Polynomial.erase f.natDegree f #align polynomial.erase_lead Polynomial.eraseLead section EraseLead theorem eraseLead_support (f : R[X]) : f.eraseLead.support = f.support.erase f.natDegree := by simp only [eraseLead, support_erase] #align polynomial.erase_lead_support Polynomial.eraseLead_support theorem eraseLead_coeff (i : ℕ) : f.eraseLead.coeff i = if i = f.natDegree then 0 else f.coeff i := by simp only [eraseLead, coeff_erase] #align polynomial.erase_lead_coeff Polynomial.eraseLead_coeff @[simp] theorem eraseLead_coeff_natDegree : f.eraseLead.coeff f.natDegree = 0 := by simp [eraseLead_coeff] #align polynomial.erase_lead_coeff_nat_degree Polynomial.eraseLead_coeff_natDegree theorem eraseLead_coeff_of_ne (i : ℕ) (hi : i ≠ f.natDegree) : f.eraseLead.coeff i = f.coeff i := by simp [eraseLead_coeff, hi] #align polynomial.erase_lead_coeff_of_ne Polynomial.eraseLead_coeff_of_ne @[simp]
Mathlib/Algebra/Polynomial/EraseLead.lean
60
60
theorem eraseLead_zero : eraseLead (0 : R[X]) = 0 := by
simp only [eraseLead, erase_zero]
true
import Mathlib.Data.List.Infix #align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2" -- Make sure we don't import algebra assert_not_exists Monoid variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ) namespace List def rdrop : List α := l.take (l.length - n) #align list.rdrop List.rdrop @[simp] theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop] #align list.rdrop_nil List.rdrop_nil @[simp] theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop] #align list.rdrop_zero List.rdrop_zero theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by rw [rdrop] induction' l using List.reverseRecOn with xs x IH generalizing n · simp · cases n · simp [take_append] · simp [take_append_eq_append_take, IH] #align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse @[simp] theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by simp [rdrop_eq_reverse_drop_reverse] #align list.rdrop_concat_succ List.rdrop_concat_succ def rtake : List α := l.drop (l.length - n) #align list.rtake List.rtake @[simp] theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake] #align list.rtake_nil List.rtake_nil @[simp] theorem rtake_zero : rtake l 0 = [] := by simp [rtake] #align list.rtake_zero List.rtake_zero theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by rw [rtake] induction' l using List.reverseRecOn with xs x IH generalizing n · simp · cases n · exact drop_length _ · simp [drop_append_eq_append_drop, IH] #align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse @[simp]
Mathlib/Data/List/DropRight.lean
91
92
theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by
simp [rtake_eq_reverse_take_reverse]
true
import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.normed_space.enorm from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" noncomputable section attribute [local instance] Classical.propDecidable open ENNReal structure ENorm (𝕜 : Type*) (V : Type*) [NormedField 𝕜] [AddCommGroup V] [Module 𝕜 V] where toFun : V → ℝ≥0∞ eq_zero' : ∀ x, toFun x = 0 → x = 0 map_add_le' : ∀ x y : V, toFun (x + y) ≤ toFun x + toFun y map_smul_le' : ∀ (c : 𝕜) (x : V), toFun (c • x) ≤ ‖c‖₊ * toFun x #align enorm ENorm namespace ENorm variable {𝕜 : Type*} {V : Type*} [NormedField 𝕜] [AddCommGroup V] [Module 𝕜 V] (e : ENorm 𝕜 V) -- Porting note: added to appease norm_cast complaints attribute [coe] ENorm.toFun instance : CoeFun (ENorm 𝕜 V) fun _ => V → ℝ≥0∞ := ⟨ENorm.toFun⟩ theorem coeFn_injective : Function.Injective ((↑) : ENorm 𝕜 V → V → ℝ≥0∞) := fun e₁ e₂ h => by cases e₁ cases e₂ congr #align enorm.coe_fn_injective ENorm.coeFn_injective @[ext] theorem ext {e₁ e₂ : ENorm 𝕜 V} (h : ∀ x, e₁ x = e₂ x) : e₁ = e₂ := coeFn_injective <| funext h #align enorm.ext ENorm.ext theorem ext_iff {e₁ e₂ : ENorm 𝕜 V} : e₁ = e₂ ↔ ∀ x, e₁ x = e₂ x := ⟨fun h _ => h ▸ rfl, ext⟩ #align enorm.ext_iff ENorm.ext_iff @[simp, norm_cast] theorem coe_inj {e₁ e₂ : ENorm 𝕜 V} : (e₁ : V → ℝ≥0∞) = e₂ ↔ e₁ = e₂ := coeFn_injective.eq_iff #align enorm.coe_inj ENorm.coe_inj @[simp] theorem map_smul (c : 𝕜) (x : V) : e (c • x) = ‖c‖₊ * e x := by apply le_antisymm (e.map_smul_le' c x) by_cases hc : c = 0 · simp [hc] calc (‖c‖₊ : ℝ≥0∞) * e x = ‖c‖₊ * e (c⁻¹ • c • x) := by rw [inv_smul_smul₀ hc] _ ≤ ‖c‖₊ * (‖c⁻¹‖₊ * e (c • x)) := mul_le_mul_left' (e.map_smul_le' _ _) _ _ = e (c • x) := by rw [← mul_assoc, nnnorm_inv, ENNReal.coe_inv, ENNReal.mul_inv_cancel _ ENNReal.coe_ne_top, one_mul] <;> simp [hc] #align enorm.map_smul ENorm.map_smul @[simp] theorem map_zero : e 0 = 0 := by rw [← zero_smul 𝕜 (0 : V), e.map_smul] norm_num #align enorm.map_zero ENorm.map_zero @[simp] theorem eq_zero_iff {x : V} : e x = 0 ↔ x = 0 := ⟨e.eq_zero' x, fun h => h.symm ▸ e.map_zero⟩ #align enorm.eq_zero_iff ENorm.eq_zero_iff @[simp] theorem map_neg (x : V) : e (-x) = e x := calc e (-x) = ‖(-1 : 𝕜)‖₊ * e x := by rw [← map_smul, neg_one_smul] _ = e x := by simp #align enorm.map_neg ENorm.map_neg
Mathlib/Analysis/NormedSpace/ENorm.lean
113
113
theorem map_sub_rev (x y : V) : e (x - y) = e (y - x) := by
rw [← neg_sub, e.map_neg]
true
import Mathlib.Data.Nat.Lattice import Mathlib.Logic.Denumerable import Mathlib.Logic.Function.Iterate import Mathlib.Order.Hom.Basic import Mathlib.Data.Set.Subsingleton #align_import order.order_iso_nat from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90" variable {α : Type*} namespace RelEmbedding variable {r : α → α → Prop} [IsStrictOrder α r] def natLT (f : ℕ → α) (H : ∀ n : ℕ, r (f n) (f (n + 1))) : ((· < ·) : ℕ → ℕ → Prop) ↪r r := ofMonotone f <| Nat.rel_of_forall_rel_succ_of_lt r H #align rel_embedding.nat_lt RelEmbedding.natLT @[simp] theorem coe_natLT {f : ℕ → α} {H : ∀ n : ℕ, r (f n) (f (n + 1))} : ⇑(natLT f H) = f := rfl #align rel_embedding.coe_nat_lt RelEmbedding.coe_natLT def natGT (f : ℕ → α) (H : ∀ n : ℕ, r (f (n + 1)) (f n)) : ((· > ·) : ℕ → ℕ → Prop) ↪r r := haveI := IsStrictOrder.swap r RelEmbedding.swap (natLT f H) #align rel_embedding.nat_gt RelEmbedding.natGT @[simp] theorem coe_natGT {f : ℕ → α} {H : ∀ n : ℕ, r (f (n + 1)) (f n)} : ⇑(natGT f H) = f := rfl #align rel_embedding.coe_nat_gt RelEmbedding.coe_natGT theorem exists_not_acc_lt_of_not_acc {a : α} {r} (h : ¬Acc r a) : ∃ b, ¬Acc r b ∧ r b a := by contrapose! h refine ⟨_, fun b hr => ?_⟩ by_contra hb exact h b hb hr #align rel_embedding.exists_not_acc_lt_of_not_acc RelEmbedding.exists_not_acc_lt_of_not_acc
Mathlib/Order/OrderIsoNat.lean
66
81
theorem acc_iff_no_decreasing_seq {x} : Acc r x ↔ IsEmpty { f : ((· > ·) : ℕ → ℕ → Prop) ↪r r // x ∈ Set.range f } := by constructor
constructor · refine fun h => h.recOn fun x _ IH => ?_ constructor rintro ⟨f, k, hf⟩ exact IsEmpty.elim' (IH (f (k + 1)) (hf ▸ f.map_rel_iff.2 (lt_add_one k))) ⟨f, _, rfl⟩ · have : ∀ x : { a // ¬Acc r a }, ∃ y : { a // ¬Acc r a }, r y.1 x.1 := by rintro ⟨x, hx⟩ cases exists_not_acc_lt_of_not_acc hx with | intro w h => exact ⟨⟨w, h.1⟩, h.2⟩ choose f h using this refine fun E => by_contradiction fun hx => E.elim' ⟨natGT (fun n => (f^[n] ⟨x, hx⟩).1) fun n => ?_, 0, rfl⟩ simp only [Function.iterate_succ'] apply h
true
import Mathlib.RepresentationTheory.Rep import Mathlib.Algebra.Category.FGModuleCat.Limits import Mathlib.CategoryTheory.Preadditive.Schur import Mathlib.RepresentationTheory.Basic #align_import representation_theory.fdRep from "leanprover-community/mathlib"@"19a70dceb9dff0994b92d2dd049de7d84d28112b" suppress_compilation universe u open CategoryTheory open CategoryTheory.Limits set_option linter.uppercaseLean3 false -- `FdRep` abbrev FdRep (k G : Type u) [Field k] [Monoid G] := Action (FGModuleCat.{u} k) (MonCat.of G) #align fdRep FdRep namespace FdRep variable {k G : Type u} [Field k] [Monoid G] -- Porting note: `@[derive]` didn't work for `FdRep`. Add the 4 instances here. instance : LargeCategory (FdRep k G) := inferInstance instance : ConcreteCategory (FdRep k G) := inferInstance instance : Preadditive (FdRep k G) := inferInstance instance : HasFiniteLimits (FdRep k G) := inferInstance instance : Linear k (FdRep k G) := by infer_instance instance : CoeSort (FdRep k G) (Type u) := ConcreteCategory.hasCoeToSort _ instance (V : FdRep k G) : AddCommGroup V := by change AddCommGroup ((forget₂ (FdRep k G) (FGModuleCat k)).obj V).obj; infer_instance instance (V : FdRep k G) : Module k V := by change Module k ((forget₂ (FdRep k G) (FGModuleCat k)).obj V).obj; infer_instance instance (V : FdRep k G) : FiniteDimensional k V := by change FiniteDimensional k ((forget₂ (FdRep k G) (FGModuleCat k)).obj V); infer_instance instance (V W : FdRep k G) : FiniteDimensional k (V ⟶ W) := FiniteDimensional.of_injective ((forget₂ (FdRep k G) (FGModuleCat k)).mapLinearMap k) (Functor.map_injective (forget₂ (FdRep k G) (FGModuleCat k))) def ρ (V : FdRep k G) : G →* V →ₗ[k] V := Action.ρ V #align fdRep.ρ FdRep.ρ def isoToLinearEquiv {V W : FdRep k G} (i : V ≅ W) : V ≃ₗ[k] W := FGModuleCat.isoToLinearEquiv ((Action.forget (FGModuleCat k) (MonCat.of G)).mapIso i) #align fdRep.iso_to_linear_equiv FdRep.isoToLinearEquiv theorem Iso.conj_ρ {V W : FdRep k G} (i : V ≅ W) (g : G) : W.ρ g = (FdRep.isoToLinearEquiv i).conj (V.ρ g) := by -- Porting note: Changed `rw` to `erw` erw [FdRep.isoToLinearEquiv, ← FGModuleCat.Iso.conj_eq_conj, Iso.conj_apply] rw [Iso.eq_inv_comp ((Action.forget (FGModuleCat k) (MonCat.of G)).mapIso i)] exact (i.hom.comm g).symm #align fdRep.iso.conj_ρ FdRep.Iso.conj_ρ @[simps ρ] def of {V : Type u} [AddCommGroup V] [Module k V] [FiniteDimensional k V] (ρ : Representation k G V) : FdRep k G := ⟨FGModuleCat.of k V, ρ⟩ #align fdRep.of FdRep.of instance : HasForget₂ (FdRep k G) (Rep k G) where forget₂ := (forget₂ (FGModuleCat k) (ModuleCat k)).mapAction (MonCat.of G)
Mathlib/RepresentationTheory/FdRep.lean
113
114
theorem forget₂_ρ (V : FdRep k G) : ((forget₂ (FdRep k G) (Rep k G)).obj V).ρ = V.ρ := by
ext g v; rfl
true
import Mathlib.Algebra.Module.PID import Mathlib.Data.ZMod.Quotient #align_import group_theory.finite_abelian from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6" open scoped DirectSum private def directSumNeZeroMulHom {ι : Type} [DecidableEq ι] (p : ι → ℕ) (n : ι → ℕ) : (⨁ i : {i // n i ≠ 0}, ZMod (p i ^ n i)) →+ ⨁ i, ZMod (p i ^ n i) := DirectSum.toAddMonoid fun i ↦ DirectSum.of (fun i ↦ ZMod (p i ^ n i)) i private def directSumNeZeroMulEquiv (ι : Type) [DecidableEq ι] (p : ι → ℕ) (n : ι → ℕ) : (⨁ i : {i // n i ≠ 0}, ZMod (p i ^ n i)) ≃+ ⨁ i, ZMod (p i ^ n i) where toFun := directSumNeZeroMulHom p n invFun := DirectSum.toAddMonoid fun i ↦ if h : n i = 0 then 0 else DirectSum.of (fun j : {i // n i ≠ 0} ↦ ZMod (p j ^ n j)) ⟨i, h⟩ left_inv x := by induction' x using DirectSum.induction_on with i x x y hx hy · simp · rw [directSumNeZeroMulHom, DirectSum.toAddMonoid_of, DirectSum.toAddMonoid_of, dif_neg i.prop] · rw [map_add, map_add, hx, hy] right_inv x := by induction' x using DirectSum.induction_on with i x x y hx hy · rw [map_zero, map_zero] · rw [DirectSum.toAddMonoid_of] split_ifs with h · simp [(ZMod.subsingleton_iff.2 $ by rw [h, pow_zero]).elim x 0] · simp_rw [directSumNeZeroMulHom, DirectSum.toAddMonoid_of] · rw [map_add, map_add, hx, hy] map_add' := map_add (directSumNeZeroMulHom p n) universe u namespace Module variable (M : Type u)
Mathlib/GroupTheory/FiniteAbelian.lean
91
100
theorem finite_of_fg_torsion [AddCommGroup M] [Module ℤ M] [Module.Finite ℤ M] (hM : Module.IsTorsion ℤ M) : _root_.Finite M := by rcases Module.equiv_directSum_of_isTorsion hM with ⟨ι, _, p, h, e, ⟨l⟩⟩
rcases Module.equiv_directSum_of_isTorsion hM with ⟨ι, _, p, h, e, ⟨l⟩⟩ haveI : ∀ i : ι, NeZero (p i ^ e i).natAbs := fun i => ⟨Int.natAbs_ne_zero.mpr <| pow_ne_zero (e i) (h i).ne_zero⟩ haveI : ∀ i : ι, _root_.Finite <| ℤ ⧸ Submodule.span ℤ {p i ^ e i} := fun i => Finite.of_equiv _ (p i ^ e i).quotientSpanEquivZMod.symm.toEquiv haveI : _root_.Finite (⨁ i, ℤ ⧸ (Submodule.span ℤ {p i ^ e i} : Submodule ℤ ℤ)) := Finite.of_equiv _ DFinsupp.equivFunOnFintype.symm exact Finite.of_equiv _ l.symm.toEquiv
true
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat import Mathlib.RepresentationTheory.GroupCohomology.Basic import Mathlib.RepresentationTheory.Invariants universe v u noncomputable section open CategoryTheory Limits Representation variable {k G : Type u} [CommRing k] [Group G] (A : Rep k G) namespace groupCohomology section IsMulCocycle section variable {G M : Type*} [Mul G] [CommGroup M] [SMul G M] def IsMulOneCocycle (f : G → M) : Prop := ∀ g h : G, f (g * h) = g • f h * f g def IsMulTwoCocycle (f : G × G → M) : Prop := ∀ g h j : G, f (g * h, j) * f (g, h) = g • (f (h, j)) * f (g, h * j) end section variable {G M : Type*} [Monoid G] [CommGroup M] [MulAction G M] theorem map_one_of_isMulOneCocycle {f : G → M} (hf : IsMulOneCocycle f) : f 1 = 1 := by simpa only [mul_one, one_smul, self_eq_mul_right] using hf 1 1 theorem map_one_fst_of_isMulTwoCocycle {f : G × G → M} (hf : IsMulTwoCocycle f) (g : G) : f (1, g) = f (1, 1) := by simpa only [one_smul, one_mul, mul_one, mul_right_inj] using (hf 1 1 g).symm
Mathlib/RepresentationTheory/GroupCohomology/LowDegree.lean
532
534
theorem map_one_snd_of_isMulTwoCocycle {f : G × G → M} (hf : IsMulTwoCocycle f) (g : G) : f (g, 1) = g • f (1, 1) := by
simpa only [mul_one, mul_left_inj] using hf g 1 1
true
import Mathlib.Data.List.Basic namespace List variable {α β : Type*} @[simp] theorem reduceOption_cons_of_some (x : α) (l : List (Option α)) : reduceOption (some x :: l) = x :: l.reduceOption := by simp only [reduceOption, filterMap, id, eq_self_iff_true, and_self_iff] #align list.reduce_option_cons_of_some List.reduceOption_cons_of_some @[simp]
Mathlib/Data/List/ReduceOption.lean
25
26
theorem reduceOption_cons_of_none (l : List (Option α)) : reduceOption (none :: l) = l.reduceOption := by
simp only [reduceOption, filterMap, id]
true
import Mathlib.RingTheory.OrzechProperty import Mathlib.RingTheory.Ideal.Quotient import Mathlib.RingTheory.PrincipalIdealDomain #align_import linear_algebra.invariant_basis_number from "leanprover-community/mathlib"@"5fd3186f1ec30a75d5f65732e3ce5e623382556f" noncomputable section open Function universe u v w section variable (R : Type u) [Semiring R] @[mk_iff] class StrongRankCondition : Prop where le_of_fin_injective : ∀ {n m : ℕ} (f : (Fin n → R) →ₗ[R] Fin m → R), Injective f → n ≤ m #align strong_rank_condition StrongRankCondition theorem le_of_fin_injective [StrongRankCondition R] {n m : ℕ} (f : (Fin n → R) →ₗ[R] Fin m → R) : Injective f → n ≤ m := StrongRankCondition.le_of_fin_injective f #align le_of_fin_injective le_of_fin_injective theorem strongRankCondition_iff_succ : StrongRankCondition R ↔ ∀ (n : ℕ) (f : (Fin (n + 1) → R) →ₗ[R] Fin n → R), ¬Function.Injective f := by refine ⟨fun h n => fun f hf => ?_, fun h => ⟨@fun n m f hf => ?_⟩⟩ · letI : StrongRankCondition R := h exact Nat.not_succ_le_self n (le_of_fin_injective R f hf) · by_contra H exact h m (f.comp (Function.ExtendByZero.linearMap R (Fin.castLE (not_le.1 H)))) (hf.comp (Function.extend_injective (Fin.strictMono_castLE _).injective _)) #align strong_rank_condition_iff_succ strongRankCondition_iff_succ instance (priority := 100) strongRankCondition_of_orzechProperty [Nontrivial R] [OrzechProperty R] : StrongRankCondition R := by refine (strongRankCondition_iff_succ R).2 fun n i hi ↦ ?_ let f : (Fin (n + 1) → R) →ₗ[R] Fin n → R := { toFun := fun x ↦ x ∘ Fin.castSucc map_add' := fun _ _ ↦ rfl map_smul' := fun _ _ ↦ rfl } have h : (0 : Fin (n + 1) → R) = update (0 : Fin (n + 1) → R) (Fin.last n) 1 := by apply OrzechProperty.injective_of_surjective_of_injective i f hi (Fin.castSucc_injective _).surjective_comp_right ext m simp [f, update_apply, (Fin.castSucc_lt_last m).ne] simpa using congr_fun h (Fin.last n) theorem card_le_of_injective [StrongRankCondition R] {α β : Type*} [Fintype α] [Fintype β] (f : (α → R) →ₗ[R] β → R) (i : Injective f) : Fintype.card α ≤ Fintype.card β := by let P := LinearEquiv.funCongrLeft R R (Fintype.equivFin α) let Q := LinearEquiv.funCongrLeft R R (Fintype.equivFin β) exact le_of_fin_injective R ((Q.symm.toLinearMap.comp f).comp P.toLinearMap) (((LinearEquiv.symm Q).injective.comp i).comp (LinearEquiv.injective P)) #align card_le_of_injective card_le_of_injective theorem card_le_of_injective' [StrongRankCondition R] {α β : Type*} [Fintype α] [Fintype β] (f : (α →₀ R) →ₗ[R] β →₀ R) (i : Injective f) : Fintype.card α ≤ Fintype.card β := by let P := Finsupp.linearEquivFunOnFinite R R β let Q := (Finsupp.linearEquivFunOnFinite R R α).symm exact card_le_of_injective R ((P.toLinearMap.comp f).comp Q.toLinearMap) ((P.injective.comp i).comp Q.injective) #align card_le_of_injective' card_le_of_injective' class RankCondition : Prop where le_of_fin_surjective : ∀ {n m : ℕ} (f : (Fin n → R) →ₗ[R] Fin m → R), Surjective f → m ≤ n #align rank_condition RankCondition theorem le_of_fin_surjective [RankCondition R] {n m : ℕ} (f : (Fin n → R) →ₗ[R] Fin m → R) : Surjective f → m ≤ n := RankCondition.le_of_fin_surjective f #align le_of_fin_surjective le_of_fin_surjective
Mathlib/LinearAlgebra/InvariantBasisNumber.lean
188
194
theorem card_le_of_surjective [RankCondition R] {α β : Type*} [Fintype α] [Fintype β] (f : (α → R) →ₗ[R] β → R) (i : Surjective f) : Fintype.card β ≤ Fintype.card α := by let P := LinearEquiv.funCongrLeft R R (Fintype.equivFin α)
let P := LinearEquiv.funCongrLeft R R (Fintype.equivFin α) let Q := LinearEquiv.funCongrLeft R R (Fintype.equivFin β) exact le_of_fin_surjective R ((Q.symm.toLinearMap.comp f).comp P.toLinearMap) (((LinearEquiv.symm Q).surjective.comp i).comp (LinearEquiv.surjective P))
true
import Mathlib.Algebra.Order.Monoid.Unbundled.Basic #align_import algebra.order.monoid.min_max from "leanprover-community/mathlib"@"de87d5053a9fe5cbde723172c0fb7e27e7436473" open Function variable {α β : Type*} section CovariantClassMulLe variable [LinearOrder α] section Mul variable [Mul α] @[to_additive] theorem lt_or_lt_of_mul_lt_mul [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap (· * ·)) (· ≤ ·)] {a₁ a₂ b₁ b₂ : α} : a₁ * b₁ < a₂ * b₂ → a₁ < a₂ ∨ b₁ < b₂ := by contrapose! exact fun h => mul_le_mul' h.1 h.2 #align lt_or_lt_of_mul_lt_mul lt_or_lt_of_mul_lt_mul #align lt_or_lt_of_add_lt_add lt_or_lt_of_add_lt_add @[to_additive]
Mathlib/Algebra/Order/Monoid/Unbundled/MinMax.lean
99
103
theorem le_or_lt_of_mul_le_mul [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap (· * ·)) (· < ·)] {a₁ a₂ b₁ b₂ : α} : a₁ * b₁ ≤ a₂ * b₂ → a₁ ≤ a₂ ∨ b₁ < b₂ := by contrapose!
contrapose! exact fun h => mul_lt_mul_of_lt_of_le h.1 h.2
true
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.Finsupp.Order #align_import data.finsupp.multiset from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" open Finset variable {α β ι : Type*} namespace Finsupp def toMultiset : (α →₀ ℕ) →+ Multiset α where toFun f := Finsupp.sum f fun a n => n • {a} -- Porting note: times out if h is not specified map_add' _f _g := sum_add_index' (h := fun a n => n • ({a} : Multiset α)) (fun _ ↦ zero_nsmul _) (fun _ ↦ add_nsmul _) map_zero' := sum_zero_index theorem toMultiset_zero : toMultiset (0 : α →₀ ℕ) = 0 := rfl #align finsupp.to_multiset_zero Finsupp.toMultiset_zero theorem toMultiset_add (m n : α →₀ ℕ) : toMultiset (m + n) = toMultiset m + toMultiset n := toMultiset.map_add m n #align finsupp.to_multiset_add Finsupp.toMultiset_add theorem toMultiset_apply (f : α →₀ ℕ) : toMultiset f = f.sum fun a n => n • {a} := rfl #align finsupp.to_multiset_apply Finsupp.toMultiset_apply @[simp] theorem toMultiset_single (a : α) (n : ℕ) : toMultiset (single a n) = n • {a} := by rw [toMultiset_apply, sum_single_index]; apply zero_nsmul #align finsupp.to_multiset_single Finsupp.toMultiset_single theorem toMultiset_sum {f : ι → α →₀ ℕ} (s : Finset ι) : Finsupp.toMultiset (∑ i ∈ s, f i) = ∑ i ∈ s, Finsupp.toMultiset (f i) := map_sum Finsupp.toMultiset _ _ #align finsupp.to_multiset_sum Finsupp.toMultiset_sum theorem toMultiset_sum_single (s : Finset ι) (n : ℕ) : Finsupp.toMultiset (∑ i ∈ s, single i n) = n • s.val := by simp_rw [toMultiset_sum, Finsupp.toMultiset_single, sum_nsmul, sum_multiset_singleton] #align finsupp.to_multiset_sum_single Finsupp.toMultiset_sum_single @[simp] theorem card_toMultiset (f : α →₀ ℕ) : Multiset.card (toMultiset f) = f.sum fun _ => id := by simp [toMultiset_apply, map_finsupp_sum, Function.id_def] #align finsupp.card_to_multiset Finsupp.card_toMultiset theorem toMultiset_map (f : α →₀ ℕ) (g : α → β) : f.toMultiset.map g = toMultiset (f.mapDomain g) := by refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.map_zero, mapDomain_zero, toMultiset_zero] · intro a n f _ _ ih rw [toMultiset_add, Multiset.map_add, ih, mapDomain_add, mapDomain_single, toMultiset_single, toMultiset_add, toMultiset_single, ← Multiset.coe_mapAddMonoidHom, (Multiset.mapAddMonoidHom g).map_nsmul] rfl #align finsupp.to_multiset_map Finsupp.toMultiset_map @[to_additive (attr := simp)] theorem prod_toMultiset [CommMonoid α] (f : α →₀ ℕ) : f.toMultiset.prod = f.prod fun a n => a ^ n := by refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.prod_zero, Finsupp.prod_zero_index] · intro a n f _ _ ih rw [toMultiset_add, Multiset.prod_add, ih, toMultiset_single, Multiset.prod_nsmul, Finsupp.prod_add_index' pow_zero pow_add, Finsupp.prod_single_index, Multiset.prod_singleton] exact pow_zero a #align finsupp.prod_to_multiset Finsupp.prod_toMultiset @[simp]
Mathlib/Data/Finsupp/Multiset.lean
94
101
theorem toFinset_toMultiset [DecidableEq α] (f : α →₀ ℕ) : f.toMultiset.toFinset = f.support := by refine f.induction ?_ ?_
refine f.induction ?_ ?_ · rw [toMultiset_zero, Multiset.toFinset_zero, support_zero] · intro a n f ha hn ih rw [toMultiset_add, Multiset.toFinset_add, ih, toMultiset_single, support_add_eq, support_single_ne_zero _ hn, Multiset.toFinset_nsmul _ _ hn, Multiset.toFinset_singleton] refine Disjoint.mono_left support_single_subset ?_ rwa [Finset.disjoint_singleton_left]
true
import Mathlib.Analysis.RCLike.Lemmas import Mathlib.MeasureTheory.Function.StronglyMeasurable.Inner import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.function.l2_space from "leanprover-community/mathlib"@"83a66c8775fa14ee5180c85cab98e970956401ad" set_option linter.uppercaseLean3 false noncomputable section open TopologicalSpace MeasureTheory MeasureTheory.Lp Filter open scoped NNReal ENNReal MeasureTheory namespace MeasureTheory section variable {α F : Type*} {m : MeasurableSpace α} {μ : Measure α} [NormedAddCommGroup F] theorem Memℒp.integrable_sq {f : α → ℝ} (h : Memℒp f 2 μ) : Integrable (fun x => f x ^ 2) μ := by simpa [← memℒp_one_iff_integrable] using h.norm_rpow two_ne_zero ENNReal.two_ne_top #align measure_theory.mem_ℒp.integrable_sq MeasureTheory.Memℒp.integrable_sq theorem memℒp_two_iff_integrable_sq_norm {f : α → F} (hf : AEStronglyMeasurable f μ) : Memℒp f 2 μ ↔ Integrable (fun x => ‖f x‖ ^ 2) μ := by rw [← memℒp_one_iff_integrable] convert (memℒp_norm_rpow_iff hf two_ne_zero ENNReal.two_ne_top).symm · simp · rw [div_eq_mul_inv, ENNReal.mul_inv_cancel two_ne_zero ENNReal.two_ne_top] #align measure_theory.mem_ℒp_two_iff_integrable_sq_norm MeasureTheory.memℒp_two_iff_integrable_sq_norm theorem memℒp_two_iff_integrable_sq {f : α → ℝ} (hf : AEStronglyMeasurable f μ) : Memℒp f 2 μ ↔ Integrable (fun x => f x ^ 2) μ := by convert memℒp_two_iff_integrable_sq_norm hf using 3 simp #align measure_theory.mem_ℒp_two_iff_integrable_sq MeasureTheory.memℒp_two_iff_integrable_sq end section InnerProductSpace variable {α : Type*} {m : MeasurableSpace α} {p : ℝ≥0∞} {μ : Measure α} variable {E 𝕜 : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y theorem Memℒp.const_inner (c : E) {f : α → E} (hf : Memℒp f p μ) : Memℒp (fun a => ⟪c, f a⟫) p μ := hf.of_le_mul (AEStronglyMeasurable.inner aestronglyMeasurable_const hf.1) (eventually_of_forall fun _ => norm_inner_le_norm _ _) #align measure_theory.mem_ℒp.const_inner MeasureTheory.Memℒp.const_inner theorem Memℒp.inner_const {f : α → E} (hf : Memℒp f p μ) (c : E) : Memℒp (fun a => ⟪f a, c⟫) p μ := hf.of_le_mul (AEStronglyMeasurable.inner hf.1 aestronglyMeasurable_const) (eventually_of_forall fun x => by rw [mul_comm]; exact norm_inner_le_norm _ _) #align measure_theory.mem_ℒp.inner_const MeasureTheory.Memℒp.inner_const variable {f : α → E} theorem Integrable.const_inner (c : E) (hf : Integrable f μ) : Integrable (fun x => ⟪c, f x⟫) μ := by rw [← memℒp_one_iff_integrable] at hf ⊢; exact hf.const_inner c #align measure_theory.integrable.const_inner MeasureTheory.Integrable.const_inner theorem Integrable.inner_const (hf : Integrable f μ) (c : E) : Integrable (fun x => ⟪f x, c⟫) μ := by rw [← memℒp_one_iff_integrable] at hf ⊢; exact hf.inner_const c #align measure_theory.integrable.inner_const MeasureTheory.Integrable.inner_const variable [CompleteSpace E] [NormedSpace ℝ E] theorem _root_.integral_inner {f : α → E} (hf : Integrable f μ) (c : E) : ∫ x, ⟪c, f x⟫ ∂μ = ⟪c, ∫ x, f x ∂μ⟫ := ((innerSL 𝕜 c).restrictScalars ℝ).integral_comp_comm hf #align integral_inner integral_inner variable (𝕜) -- variable binder update doesn't work for lemmas which refer to `𝕜` only via the notation -- Porting note: removed because it causes ambiguity in the lemma below -- local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y
Mathlib/MeasureTheory/Function/L2Space.lean
104
106
theorem _root_.integral_eq_zero_of_forall_integral_inner_eq_zero (f : α → E) (hf : Integrable f μ) (hf_int : ∀ c : E, ∫ x, ⟪c, f x⟫ ∂μ = 0) : ∫ x, f x ∂μ = 0 := by
specialize hf_int (∫ x, f x ∂μ); rwa [integral_inner hf, inner_self_eq_zero] at hf_int
true
import Mathlib.Data.Fin.Fin2 import Mathlib.Data.PFun import Mathlib.Data.Vector3 import Mathlib.NumberTheory.PellMatiyasevic #align_import number_theory.dioph from "leanprover-community/mathlib"@"a66d07e27d5b5b8ac1147cacfe353478e5c14002" open Fin2 Function Nat Sum local infixr:67 " ::ₒ " => Option.elim' local infixr:65 " ⊗ " => Sum.elim universe u section Polynomials variable {α β γ : Type*} inductive IsPoly : ((α → ℕ) → ℤ) → Prop | proj : ∀ i, IsPoly fun x : α → ℕ => x i | const : ∀ n : ℤ, IsPoly fun _ : α → ℕ => n | sub : ∀ {f g : (α → ℕ) → ℤ}, IsPoly f → IsPoly g → IsPoly fun x => f x - g x | mul : ∀ {f g : (α → ℕ) → ℤ}, IsPoly f → IsPoly g → IsPoly fun x => f x * g x #align is_poly IsPoly
Mathlib/NumberTheory/Dioph.lean
85
86
theorem IsPoly.neg {f : (α → ℕ) → ℤ} : IsPoly f → IsPoly (-f) := by
rw [← zero_sub]; exact (IsPoly.const 0).sub
true
import Mathlib.CategoryTheory.Sites.InducedTopology import Mathlib.CategoryTheory.Sites.LocallyBijective import Mathlib.CategoryTheory.Sites.PreservesLocallyBijective import Mathlib.CategoryTheory.Sites.Whiskering universe u namespace CategoryTheory open Functor Limits GrothendieckTopology variable {C : Type*} [Category C] (J : GrothendieckTopology C) variable {D : Type*} [Category D] (K : GrothendieckTopology D) (e : C ≌ D) (G : D ⥤ C) variable (A : Type*) [Category A] namespace Equivalence
Mathlib/CategoryTheory/Sites/Equivalence.lean
51
65
theorem locallyCoverDense : LocallyCoverDense J e.inverse := by intro X T
intro X T convert T.prop ext Z f constructor · rintro ⟨_, _, g', hg, rfl⟩ exact T.val.downward_closed hg g' · intro hf refine ⟨e.functor.obj Z, (Adjunction.homEquiv e.toAdjunction _ _).symm f, e.unit.app Z, ?_, ?_⟩ · simp only [Adjunction.homEquiv_counit, Functor.id_obj, Equivalence.toAdjunction_counit, Sieve.functorPullback_apply, Presieve.functorPullback_mem, Functor.map_comp, Equivalence.inv_fun_map, Functor.comp_obj, Category.assoc, Equivalence.unit_inverse_comp, Category.comp_id] exact T.val.downward_closed hf _ · simp
true
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Data.ENat.Basic #align_import data.polynomial.degree.trailing_degree from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836" noncomputable section open Function Polynomial Finsupp Finset open scoped Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} def trailingDegree (p : R[X]) : ℕ∞ := p.support.min #align polynomial.trailing_degree Polynomial.trailingDegree theorem trailingDegree_lt_wf : WellFounded fun p q : R[X] => trailingDegree p < trailingDegree q := InvImage.wf trailingDegree wellFounded_lt #align polynomial.trailing_degree_lt_wf Polynomial.trailingDegree_lt_wf def natTrailingDegree (p : R[X]) : ℕ := (trailingDegree p).getD 0 #align polynomial.nat_trailing_degree Polynomial.natTrailingDegree def trailingCoeff (p : R[X]) : R := coeff p (natTrailingDegree p) #align polynomial.trailing_coeff Polynomial.trailingCoeff def TrailingMonic (p : R[X]) := trailingCoeff p = (1 : R) #align polynomial.trailing_monic Polynomial.TrailingMonic theorem TrailingMonic.def : TrailingMonic p ↔ trailingCoeff p = 1 := Iff.rfl #align polynomial.trailing_monic.def Polynomial.TrailingMonic.def instance TrailingMonic.decidable [DecidableEq R] : Decidable (TrailingMonic p) := inferInstanceAs <| Decidable (trailingCoeff p = (1 : R)) #align polynomial.trailing_monic.decidable Polynomial.TrailingMonic.decidable @[simp] theorem TrailingMonic.trailingCoeff {p : R[X]} (hp : p.TrailingMonic) : trailingCoeff p = 1 := hp #align polynomial.trailing_monic.trailing_coeff Polynomial.TrailingMonic.trailingCoeff @[simp] theorem trailingDegree_zero : trailingDegree (0 : R[X]) = ⊤ := rfl #align polynomial.trailing_degree_zero Polynomial.trailingDegree_zero @[simp] theorem trailingCoeff_zero : trailingCoeff (0 : R[X]) = 0 := rfl #align polynomial.trailing_coeff_zero Polynomial.trailingCoeff_zero @[simp] theorem natTrailingDegree_zero : natTrailingDegree (0 : R[X]) = 0 := rfl #align polynomial.nat_trailing_degree_zero Polynomial.natTrailingDegree_zero theorem trailingDegree_eq_top : trailingDegree p = ⊤ ↔ p = 0 := ⟨fun h => support_eq_empty.1 (Finset.min_eq_top.1 h), fun h => by simp [h]⟩ #align polynomial.trailing_degree_eq_top Polynomial.trailingDegree_eq_top
Mathlib/Algebra/Polynomial/Degree/TrailingDegree.lean
102
108
theorem trailingDegree_eq_natTrailingDegree (hp : p ≠ 0) : trailingDegree p = (natTrailingDegree p : ℕ∞) := by let ⟨n, hn⟩ :=
let ⟨n, hn⟩ := not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt trailingDegree_eq_top.1 hp)) have hn : trailingDegree p = n := Classical.not_not.1 hn rw [natTrailingDegree, hn] rfl
true
import Mathlib.Data.Set.Finite import Mathlib.Order.Partition.Finpartition #align_import data.setoid.partition from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205" namespace Setoid variable {α : Type*} theorem eq_of_mem_eqv_class {c : Set (Set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {x b b'} (hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') : b = b' := (H x).unique ⟨hc, hb⟩ ⟨hc', hb'⟩ #align setoid.eq_of_mem_eqv_class Setoid.eq_of_mem_eqv_class def mkClasses (c : Set (Set α)) (H : ∀ a, ∃! b ∈ c, a ∈ b) : Setoid α where r x y := ∀ s ∈ c, x ∈ s → y ∈ s iseqv.refl := fun _ _ _ hx => hx iseqv.symm := fun {x _y} h s hs hy => by obtain ⟨t, ⟨ht, hx⟩, _⟩ := H x rwa [eq_of_mem_eqv_class H hs hy ht (h t ht hx)] iseqv.trans := fun {_x y z} h1 h2 s hs hx => h2 s hs (h1 s hs hx) #align setoid.mk_classes Setoid.mkClasses def classes (r : Setoid α) : Set (Set α) := { s | ∃ y, s = { x | r.Rel x y } } #align setoid.classes Setoid.classes theorem mem_classes (r : Setoid α) (y) : { x | r.Rel x y } ∈ r.classes := ⟨y, rfl⟩ #align setoid.mem_classes Setoid.mem_classes theorem classes_ker_subset_fiber_set {β : Type*} (f : α → β) : (Setoid.ker f).classes ⊆ Set.range fun y => { x | f x = y } := by rintro s ⟨x, rfl⟩ rw [Set.mem_range] exact ⟨f x, rfl⟩ #align setoid.classes_ker_subset_fiber_set Setoid.classes_ker_subset_fiber_set theorem finite_classes_ker {α β : Type*} [Finite β] (f : α → β) : (Setoid.ker f).classes.Finite := (Set.finite_range _).subset <| classes_ker_subset_fiber_set f #align setoid.finite_classes_ker Setoid.finite_classes_ker theorem card_classes_ker_le {α β : Type*} [Fintype β] (f : α → β) [Fintype (Setoid.ker f).classes] : Fintype.card (Setoid.ker f).classes ≤ Fintype.card β := by classical exact le_trans (Set.card_le_card (classes_ker_subset_fiber_set f)) (Fintype.card_range_le _) #align setoid.card_classes_ker_le Setoid.card_classes_ker_le theorem eq_iff_classes_eq {r₁ r₂ : Setoid α} : r₁ = r₂ ↔ ∀ x, { y | r₁.Rel x y } = { y | r₂.Rel x y } := ⟨fun h _x => h ▸ rfl, fun h => ext' fun x => Set.ext_iff.1 <| h x⟩ #align setoid.eq_iff_classes_eq Setoid.eq_iff_classes_eq theorem rel_iff_exists_classes (r : Setoid α) {x y} : r.Rel x y ↔ ∃ c ∈ r.classes, x ∈ c ∧ y ∈ c := ⟨fun h => ⟨_, r.mem_classes y, h, r.refl' y⟩, fun ⟨c, ⟨z, hz⟩, hx, hy⟩ => by subst c exact r.trans' hx (r.symm' hy)⟩ #align setoid.rel_iff_exists_classes Setoid.rel_iff_exists_classes theorem classes_inj {r₁ r₂ : Setoid α} : r₁ = r₂ ↔ r₁.classes = r₂.classes := ⟨fun h => h ▸ rfl, fun h => ext' fun a b => by simp only [rel_iff_exists_classes, exists_prop, h]⟩ #align setoid.classes_inj Setoid.classes_inj theorem empty_not_mem_classes {r : Setoid α} : ∅ ∉ r.classes := fun ⟨y, hy⟩ => Set.not_mem_empty y <| hy.symm ▸ r.refl' y #align setoid.empty_not_mem_classes Setoid.empty_not_mem_classes theorem classes_eqv_classes {r : Setoid α} (a) : ∃! b ∈ r.classes, a ∈ b := ExistsUnique.intro { x | r.Rel x a } ⟨r.mem_classes a, r.refl' _⟩ <| by rintro y ⟨⟨_, rfl⟩, ha⟩ ext x exact ⟨fun hx => r.trans' hx (r.symm' ha), fun hx => r.trans' hx ha⟩ #align setoid.classes_eqv_classes Setoid.classes_eqv_classes theorem eq_of_mem_classes {r : Setoid α} {x b} (hc : b ∈ r.classes) (hb : x ∈ b) {b'} (hc' : b' ∈ r.classes) (hb' : x ∈ b') : b = b' := eq_of_mem_eqv_class classes_eqv_classes hc hb hc' hb' #align setoid.eq_of_mem_classes Setoid.eq_of_mem_classes
Mathlib/Data/Setoid/Partition.lean
122
130
theorem eq_eqv_class_of_mem {c : Set (Set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {s y} (hs : s ∈ c) (hy : y ∈ s) : s = { x | (mkClasses c H).Rel x y } := by ext x
ext x constructor · intro hx _s' hs' hx' rwa [eq_of_mem_eqv_class H hs' hx' hs hx] · intro hx obtain ⟨b', ⟨hc, hb'⟩, _⟩ := H x rwa [eq_of_mem_eqv_class H hs hy hc (hx b' hc hb')]
true
import Batteries.Tactic.Init import Batteries.Tactic.Alias import Batteries.Tactic.Lint.Misc instance {f : α → β} [DecidablePred p] : DecidablePred (p ∘ f) := inferInstanceAs <| DecidablePred fun x => p (f x) @[deprecated] alias proofIrrel := proof_irrel theorem Function.id_def : @id α = fun x => x := rfl alias ⟨forall_not_of_not_exists, not_exists_of_forall_not⟩ := not_exists protected alias ⟨Decidable.exists_not_of_not_forall, _⟩ := Decidable.not_forall theorem heq_iff_eq : HEq a b ↔ a = b := ⟨eq_of_heq, heq_of_eq⟩ @[simp] theorem eq_rec_constant {α : Sort _} {a a' : α} {β : Sort _} (y : β) (h : a = a') : (@Eq.rec α a (fun α _ => β) y a' h) = y := by cases h; rfl theorem congrArg₂ (f : α → β → γ) {x x' : α} {y y' : β} (hx : x = x') (hy : y = y') : f x y = f x' y' := by subst hx hy; rfl theorem congrFun₂ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {f g : ∀ a b, γ a b} (h : f = g) (a : α) (b : β a) : f a b = g a b := congrFun (congrFun h _) _ theorem congrFun₃ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {δ : ∀ a b, γ a b → Sort _} {f g : ∀ a b c, δ a b c} (h : f = g) (a : α) (b : β a) (c : γ a b) : f a b c = g a b c := congrFun₂ (congrFun h _) _ _ theorem funext₂ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {f g : ∀ a b, γ a b} (h : ∀ a b, f a b = g a b) : f = g := funext fun _ => funext <| h _ theorem funext₃ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {δ : ∀ a b, γ a b → Sort _} {f g : ∀ a b c, δ a b c} (h : ∀ a b c, f a b c = g a b c) : f = g := funext fun _ => funext₂ <| h _ theorem Function.funext_iff {β : α → Sort u} {f₁ f₂ : ∀ x : α, β x} : f₁ = f₂ ↔ ∀ a, f₁ a = f₂ a := ⟨congrFun, funext⟩ theorem ne_of_apply_ne {α β : Sort _} (f : α → β) {x y : α} : f x ≠ f y → x ≠ y := mt <| congrArg _ protected theorem Eq.congr (h₁ : x₁ = y₁) (h₂ : x₂ = y₂) : x₁ = x₂ ↔ y₁ = y₂ := by subst h₁; subst h₂; rfl
.lake/packages/batteries/Batteries/Logic.lean
72
72
theorem Eq.congr_left {x y z : α} (h : x = y) : x = z ↔ y = z := by
rw [h]
true
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff
Mathlib/Algebra/Order/Field/Basic.lean
104
104
theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by
rw [inv_mul_le_iff h, mul_comm]
true
import Mathlib.Analysis.Complex.UpperHalfPlane.Basic import Mathlib.Analysis.Convex.Contractible import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.Convex.Complex import Mathlib.Analysis.Complex.ReImTopology import Mathlib.Topology.Homotopy.Contractible import Mathlib.Topology.PartialHomeomorph #align_import analysis.complex.upper_half_plane.topology from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf" noncomputable section open Set Filter Function TopologicalSpace Complex open scoped Filter Topology UpperHalfPlane namespace UpperHalfPlane instance : TopologicalSpace ℍ := instTopologicalSpaceSubtype theorem openEmbedding_coe : OpenEmbedding ((↑) : ℍ → ℂ) := IsOpen.openEmbedding_subtype_val <| isOpen_lt continuous_const Complex.continuous_im #align upper_half_plane.open_embedding_coe UpperHalfPlane.openEmbedding_coe theorem embedding_coe : Embedding ((↑) : ℍ → ℂ) := embedding_subtype_val #align upper_half_plane.embedding_coe UpperHalfPlane.embedding_coe theorem continuous_coe : Continuous ((↑) : ℍ → ℂ) := embedding_coe.continuous #align upper_half_plane.continuous_coe UpperHalfPlane.continuous_coe theorem continuous_re : Continuous re := Complex.continuous_re.comp continuous_coe #align upper_half_plane.continuous_re UpperHalfPlane.continuous_re theorem continuous_im : Continuous im := Complex.continuous_im.comp continuous_coe #align upper_half_plane.continuous_im UpperHalfPlane.continuous_im instance : SecondCountableTopology ℍ := TopologicalSpace.Subtype.secondCountableTopology _ instance : T3Space ℍ := Subtype.t3Space instance : T4Space ℍ := inferInstance instance : ContractibleSpace ℍ := (convex_halfspace_im_gt 0).contractibleSpace ⟨I, one_pos.trans_eq I_im.symm⟩ instance : LocPathConnectedSpace ℍ := locPathConnected_of_isOpen <| isOpen_lt continuous_const Complex.continuous_im instance : NoncompactSpace ℍ := by refine ⟨fun h => ?_⟩ have : IsCompact (Complex.im ⁻¹' Ioi 0) := isCompact_iff_isCompact_univ.2 h replace := this.isClosed.closure_eq rw [closure_preimage_im, closure_Ioi, Set.ext_iff] at this exact absurd ((this 0).1 (@left_mem_Ici ℝ _ 0)) (@lt_irrefl ℝ _ 0) instance : LocallyCompactSpace ℍ := openEmbedding_coe.locallyCompactSpace section strips def verticalStrip (A B : ℝ) := {z : ℍ | |z.re| ≤ A ∧ B ≤ z.im} theorem mem_verticalStrip_iff (A B : ℝ) (z : ℍ) : z ∈ verticalStrip A B ↔ |z.re| ≤ A ∧ B ≤ z.im := Iff.rfl @[gcongr] lemma verticalStrip_mono {A B A' B' : ℝ} (hA : A ≤ A') (hB : B' ≤ B) : verticalStrip A B ⊆ verticalStrip A' B' := by rintro z ⟨hzre, hzim⟩ exact ⟨hzre.trans hA, hB.trans hzim⟩ @[gcongr] lemma verticalStrip_mono_left {A A'} (h : A ≤ A') (B) : verticalStrip A B ⊆ verticalStrip A' B := verticalStrip_mono h le_rfl @[gcongr] lemma verticalStrip_anti_right (A) {B B'} (h : B' ≤ B) : verticalStrip A B ⊆ verticalStrip A B' := verticalStrip_mono le_rfl h lemma subset_verticalStrip_of_isCompact {K : Set ℍ} (hK : IsCompact K) : ∃ A B : ℝ, 0 < B ∧ K ⊆ verticalStrip A B := by rcases K.eq_empty_or_nonempty with rfl | hne · exact ⟨1, 1, Real.zero_lt_one, empty_subset _⟩ obtain ⟨u, _, hu⟩ := hK.exists_isMaxOn hne (_root_.continuous_abs.comp continuous_re).continuousOn obtain ⟨v, _, hv⟩ := hK.exists_isMinOn hne continuous_im.continuousOn exact ⟨|re u|, im v, v.im_pos, fun k hk ↦ ⟨isMaxOn_iff.mp hu _ hk, isMinOn_iff.mp hv _ hk⟩⟩
Mathlib/Analysis/Complex/UpperHalfPlane/Topology.lean
109
124
theorem ModularGroup_T_zpow_mem_verticalStrip (z : ℍ) {N : ℕ} (hn : 0 < N) : ∃ n : ℤ, ModularGroup.T ^ (N * n) • z ∈ verticalStrip N z.im := by let n := Int.floor (z.re/N)
let n := Int.floor (z.re/N) use -n rw [modular_T_zpow_smul z (N * -n)] refine ⟨?_, (by simp only [mul_neg, Int.cast_neg, Int.cast_mul, Int.cast_natCast, vadd_im, le_refl])⟩ have h : (N * (-n : ℝ) +ᵥ z).re = -N * Int.floor (z.re / N) + z.re := by simp only [Int.cast_natCast, mul_neg, vadd_re, neg_mul] norm_cast at * rw [h, add_comm] simp only [neg_mul, Int.cast_neg, Int.cast_mul, Int.cast_natCast, ge_iff_le] have hnn : (0 : ℝ) < (N : ℝ) := by norm_cast at * have h2 : z.re + -(N * n) = z.re - n * N := by ring rw [h2, abs_eq_self.2 (Int.sub_floor_div_mul_nonneg (z.re : ℝ) hnn)] apply (Int.sub_floor_div_mul_lt (z.re : ℝ) hnn).le
true
import Mathlib.Data.Finsupp.Defs #align_import data.finsupp.ne_locus from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {α M N P : Type*} namespace Finsupp variable [DecidableEq α] section NHasZero variable [DecidableEq N] [Zero N] (f g : α →₀ N) def neLocus (f g : α →₀ N) : Finset α := (f.support ∪ g.support).filter fun x => f x ≠ g x #align finsupp.ne_locus Finsupp.neLocus @[simp] theorem mem_neLocus {f g : α →₀ N} {a : α} : a ∈ f.neLocus g ↔ f a ≠ g a := by simpa only [neLocus, Finset.mem_filter, Finset.mem_union, mem_support_iff, and_iff_right_iff_imp] using Ne.ne_or_ne _ #align finsupp.mem_ne_locus Finsupp.mem_neLocus theorem not_mem_neLocus {f g : α →₀ N} {a : α} : a ∉ f.neLocus g ↔ f a = g a := mem_neLocus.not.trans not_ne_iff #align finsupp.not_mem_ne_locus Finsupp.not_mem_neLocus @[simp] theorem coe_neLocus : ↑(f.neLocus g) = { x | f x ≠ g x } := by ext exact mem_neLocus #align finsupp.coe_ne_locus Finsupp.coe_neLocus @[simp] theorem neLocus_eq_empty {f g : α →₀ N} : f.neLocus g = ∅ ↔ f = g := ⟨fun h => ext fun a => not_not.mp (mem_neLocus.not.mp (Finset.eq_empty_iff_forall_not_mem.mp h a)), fun h => h ▸ by simp only [neLocus, Ne, eq_self_iff_true, not_true, Finset.filter_False]⟩ #align finsupp.ne_locus_eq_empty Finsupp.neLocus_eq_empty @[simp] theorem nonempty_neLocus_iff {f g : α →₀ N} : (f.neLocus g).Nonempty ↔ f ≠ g := Finset.nonempty_iff_ne_empty.trans neLocus_eq_empty.not #align finsupp.nonempty_ne_locus_iff Finsupp.nonempty_neLocus_iff
Mathlib/Data/Finsupp/NeLocus.lean
69
70
theorem neLocus_comm : f.neLocus g = g.neLocus f := by
simp_rw [neLocus, Finset.union_comm, ne_comm]
true
import Mathlib.RingTheory.Ideal.Maps #align_import ring_theory.ideal.prod from "leanprover-community/mathlib"@"052f6013363326d50cb99c6939814a4b8eb7b301" universe u v variable {R : Type u} {S : Type v} [Semiring R] [Semiring S] (I I' : Ideal R) (J J' : Ideal S) namespace Ideal def prod : Ideal (R × S) where carrier := { x | x.fst ∈ I ∧ x.snd ∈ J } zero_mem' := by simp add_mem' := by rintro ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ⟨ha₁, ha₂⟩ ⟨hb₁, hb₂⟩ exact ⟨I.add_mem ha₁ hb₁, J.add_mem ha₂ hb₂⟩ smul_mem' := by rintro ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ⟨hb₁, hb₂⟩ exact ⟨I.mul_mem_left _ hb₁, J.mul_mem_left _ hb₂⟩ #align ideal.prod Ideal.prod @[simp] theorem mem_prod {r : R} {s : S} : (⟨r, s⟩ : R × S) ∈ prod I J ↔ r ∈ I ∧ s ∈ J := Iff.rfl #align ideal.mem_prod Ideal.mem_prod @[simp] theorem prod_top_top : prod (⊤ : Ideal R) (⊤ : Ideal S) = ⊤ := Ideal.ext <| by simp #align ideal.prod_top_top Ideal.prod_top_top
Mathlib/RingTheory/Ideal/Prod.lean
50
58
theorem ideal_prod_eq (I : Ideal (R × S)) : I = Ideal.prod (map (RingHom.fst R S) I : Ideal R) (map (RingHom.snd R S) I) := by apply Ideal.ext
apply Ideal.ext rintro ⟨r, s⟩ rw [mem_prod, mem_map_iff_of_surjective (RingHom.fst R S) Prod.fst_surjective, mem_map_iff_of_surjective (RingHom.snd R S) Prod.snd_surjective] refine ⟨fun h => ⟨⟨_, ⟨h, rfl⟩⟩, ⟨_, ⟨h, rfl⟩⟩⟩, ?_⟩ rintro ⟨⟨⟨r, s'⟩, ⟨h₁, rfl⟩⟩, ⟨⟨r', s⟩, ⟨h₂, rfl⟩⟩⟩ simpa using I.add_mem (I.mul_mem_left (1, 0) h₁) (I.mul_mem_left (0, 1) h₂)
true
import Mathlib.Analysis.Convex.Body import Mathlib.Analysis.Convex.Measure import Mathlib.MeasureTheory.Group.FundamentalDomain #align_import measure_theory.group.geometry_of_numbers from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" namespace MeasureTheory open ENNReal FiniteDimensional MeasureTheory MeasureTheory.Measure Set Filter open scoped Pointwise NNReal variable {E L : Type*} [MeasurableSpace E] {μ : Measure E} {F s : Set E}
Mathlib/MeasureTheory/Group/GeometryOfNumbers.lean
50
58
theorem exists_pair_mem_lattice_not_disjoint_vadd [AddCommGroup L] [Countable L] [AddAction L E] [MeasurableSpace L] [MeasurableVAdd L E] [VAddInvariantMeasure L E μ] (fund : IsAddFundamentalDomain L F μ) (hS : NullMeasurableSet s μ) (h : μ F < μ s) : ∃ x y : L, x ≠ y ∧ ¬Disjoint (x +ᵥ s) (y +ᵥ s) := by contrapose! h
contrapose! h exact ((fund.measure_eq_tsum _).trans (measure_iUnion₀ (Pairwise.mono h fun i j hij => (hij.mono inf_le_left inf_le_left).aedisjoint) fun _ => (hS.vadd _).inter fund.nullMeasurableSet).symm).trans_le (measure_mono <| Set.iUnion_subset fun _ => Set.inter_subset_right)
true
import Mathlib.Algebra.Polynomial.Basic import Mathlib.FieldTheory.IsAlgClosed.Basic #align_import linear_algebra.matrix.charpoly.eigs from "leanprover-community/mathlib"@"48dc6abe71248bd6f4bffc9703dc87bdd4e37d0b" variable {n : Type*} [Fintype n] [DecidableEq n] variable {R : Type*} [Field R] variable {A : Matrix n n R} open Matrix Polynomial open scoped Matrix namespace Matrix theorem det_eq_prod_roots_charpoly_of_splits (hAps : A.charpoly.Splits (RingHom.id R)) : A.det = (Matrix.charpoly A).roots.prod := by rw [det_eq_sign_charpoly_coeff, ← charpoly_natDegree_eq_dim A, Polynomial.prod_roots_eq_coeff_zero_of_monic_of_split A.charpoly_monic hAps, ← mul_assoc, ← pow_two, pow_right_comm, neg_one_sq, one_pow, one_mul] #align matrix.det_eq_prod_roots_charpoly_of_splits Matrix.det_eq_prod_roots_charpoly_of_splits
Mathlib/LinearAlgebra/Matrix/Charpoly/Eigs.lean
67
75
theorem trace_eq_sum_roots_charpoly_of_splits (hAps : A.charpoly.Splits (RingHom.id R)) : A.trace = (Matrix.charpoly A).roots.sum := by cases' isEmpty_or_nonempty n with h
cases' isEmpty_or_nonempty n with h · rw [Matrix.trace, Fintype.sum_empty, Matrix.charpoly, det_eq_one_of_card_eq_zero (Fintype.card_eq_zero_iff.2 h), Polynomial.roots_one, Multiset.empty_eq_zero, Multiset.sum_zero] · rw [trace_eq_neg_charpoly_coeff, neg_eq_iff_eq_neg, ← Polynomial.sum_roots_eq_nextCoeff_of_monic_of_split A.charpoly_monic hAps, nextCoeff, charpoly_natDegree_eq_dim, if_neg (Fintype.card_ne_zero : Fintype.card n ≠ 0)]
true
import Mathlib.Data.Stream.Defs import Mathlib.Logic.Function.Basic import Mathlib.Init.Data.List.Basic import Mathlib.Data.List.Basic #align_import data.stream.init from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" set_option autoImplicit true open Nat Function Option namespace Stream' variable {α : Type u} {β : Type v} {δ : Type w} instance [Inhabited α] : Inhabited (Stream' α) := ⟨Stream'.const default⟩ protected theorem eta (s : Stream' α) : (head s::tail s) = s := funext fun i => by cases i <;> rfl #align stream.eta Stream'.eta @[ext] protected theorem ext {s₁ s₂ : Stream' α} : (∀ n, get s₁ n = get s₂ n) → s₁ = s₂ := fun h => funext h #align stream.ext Stream'.ext @[simp] theorem get_zero_cons (a : α) (s : Stream' α) : get (a::s) 0 = a := rfl #align stream.nth_zero_cons Stream'.get_zero_cons @[simp] theorem head_cons (a : α) (s : Stream' α) : head (a::s) = a := rfl #align stream.head_cons Stream'.head_cons @[simp] theorem tail_cons (a : α) (s : Stream' α) : tail (a::s) = s := rfl #align stream.tail_cons Stream'.tail_cons @[simp] theorem get_drop (n m : Nat) (s : Stream' α) : get (drop m s) n = get s (n + m) := rfl #align stream.nth_drop Stream'.get_drop theorem tail_eq_drop (s : Stream' α) : tail s = drop 1 s := rfl #align stream.tail_eq_drop Stream'.tail_eq_drop @[simp] theorem drop_drop (n m : Nat) (s : Stream' α) : drop n (drop m s) = drop (n + m) s := by ext; simp [Nat.add_assoc] #align stream.drop_drop Stream'.drop_drop @[simp] theorem get_tail {s : Stream' α} : s.tail.get n = s.get (n + 1) := rfl @[simp] theorem tail_drop' {s : Stream' α} : tail (drop i s) = s.drop (i+1) := by ext; simp [Nat.add_comm, Nat.add_assoc, Nat.add_left_comm] @[simp] theorem drop_tail' {s : Stream' α} : drop i (tail s) = s.drop (i+1) := rfl theorem tail_drop (n : Nat) (s : Stream' α) : tail (drop n s) = drop n (tail s) := by simp #align stream.tail_drop Stream'.tail_drop theorem get_succ (n : Nat) (s : Stream' α) : get s (succ n) = get (tail s) n := rfl #align stream.nth_succ Stream'.get_succ @[simp] theorem get_succ_cons (n : Nat) (s : Stream' α) (x : α) : get (x::s) n.succ = get s n := rfl #align stream.nth_succ_cons Stream'.get_succ_cons @[simp] theorem drop_zero {s : Stream' α} : s.drop 0 = s := rfl theorem drop_succ (n : Nat) (s : Stream' α) : drop (succ n) s = drop n (tail s) := rfl #align stream.drop_succ Stream'.drop_succ theorem head_drop (a : Stream' α) (n : ℕ) : (a.drop n).head = a.get n := by simp #align stream.head_drop Stream'.head_drop theorem cons_injective2 : Function.Injective2 (cons : α → Stream' α → Stream' α) := fun x y s t h => ⟨by rw [← get_zero_cons x s, h, get_zero_cons], Stream'.ext fun n => by rw [← get_succ_cons n _ x, h, get_succ_cons]⟩ #align stream.cons_injective2 Stream'.cons_injective2 theorem cons_injective_left (s : Stream' α) : Function.Injective fun x => cons x s := cons_injective2.left _ #align stream.cons_injective_left Stream'.cons_injective_left theorem cons_injective_right (x : α) : Function.Injective (cons x) := cons_injective2.right _ #align stream.cons_injective_right Stream'.cons_injective_right theorem all_def (p : α → Prop) (s : Stream' α) : All p s = ∀ n, p (get s n) := rfl #align stream.all_def Stream'.all_def theorem any_def (p : α → Prop) (s : Stream' α) : Any p s = ∃ n, p (get s n) := rfl #align stream.any_def Stream'.any_def @[simp] theorem mem_cons (a : α) (s : Stream' α) : a ∈ a::s := Exists.intro 0 rfl #align stream.mem_cons Stream'.mem_cons theorem mem_cons_of_mem {a : α} {s : Stream' α} (b : α) : a ∈ s → a ∈ b::s := fun ⟨n, h⟩ => Exists.intro (succ n) (by rw [get_succ, tail_cons, h]) #align stream.mem_cons_of_mem Stream'.mem_cons_of_mem theorem eq_or_mem_of_mem_cons {a b : α} {s : Stream' α} : (a ∈ b::s) → a = b ∨ a ∈ s := fun ⟨n, h⟩ => by cases' n with n' · left exact h · right rw [get_succ, tail_cons] at h exact ⟨n', h⟩ #align stream.eq_or_mem_of_mem_cons Stream'.eq_or_mem_of_mem_cons theorem mem_of_get_eq {n : Nat} {s : Stream' α} {a : α} : a = get s n → a ∈ s := fun h => Exists.intro n h #align stream.mem_of_nth_eq Stream'.mem_of_get_eq section Map variable (f : α → β) theorem drop_map (n : Nat) (s : Stream' α) : drop n (map f s) = map f (drop n s) := Stream'.ext fun _ => rfl #align stream.drop_map Stream'.drop_map @[simp] theorem get_map (n : Nat) (s : Stream' α) : get (map f s) n = f (get s n) := rfl #align stream.nth_map Stream'.get_map theorem tail_map (s : Stream' α) : tail (map f s) = map f (tail s) := rfl #align stream.tail_map Stream'.tail_map @[simp] theorem head_map (s : Stream' α) : head (map f s) = f (head s) := rfl #align stream.head_map Stream'.head_map
Mathlib/Data/Stream/Init.lean
162
163
theorem map_eq (s : Stream' α) : map f s = f (head s)::map f (tail s) := by
rw [← Stream'.eta (map f s), tail_map, head_map]
true
import Mathlib.Combinatorics.SimpleGraph.Coloring #align_import combinatorics.simple_graph.partition from "leanprover-community/mathlib"@"2303b3e299f1c75b07bceaaac130ce23044d1386" universe u v namespace SimpleGraph variable {V : Type u} (G : SimpleGraph V) structure Partition where parts : Set (Set V) isPartition : Setoid.IsPartition parts independent : ∀ s ∈ parts, IsAntichain G.Adj s #align simple_graph.partition SimpleGraph.Partition def Partition.PartsCardLe {G : SimpleGraph V} (P : G.Partition) (n : ℕ) : Prop := ∃ h : P.parts.Finite, h.toFinset.card ≤ n #align simple_graph.partition.parts_card_le SimpleGraph.Partition.PartsCardLe def Partitionable (n : ℕ) : Prop := ∃ P : G.Partition, P.PartsCardLe n #align simple_graph.partitionable SimpleGraph.Partitionable namespace Partition variable {G} (P : G.Partition) def partOfVertex (v : V) : Set V := Classical.choose (P.isPartition.2 v) #align simple_graph.partition.part_of_vertex SimpleGraph.Partition.partOfVertex theorem partOfVertex_mem (v : V) : P.partOfVertex v ∈ P.parts := by obtain ⟨h, -⟩ := (P.isPartition.2 v).choose_spec.1 exact h #align simple_graph.partition.part_of_vertex_mem SimpleGraph.Partition.partOfVertex_mem theorem mem_partOfVertex (v : V) : v ∈ P.partOfVertex v := by obtain ⟨⟨_, h⟩, _⟩ := (P.isPartition.2 v).choose_spec exact h #align simple_graph.partition.mem_part_of_vertex SimpleGraph.Partition.mem_partOfVertex
Mathlib/Combinatorics/SimpleGraph/Partition.lean
98
102
theorem partOfVertex_ne_of_adj {v w : V} (h : G.Adj v w) : P.partOfVertex v ≠ P.partOfVertex w := by intro hn
intro hn have hw := P.mem_partOfVertex w rw [← hn] at hw exact P.independent _ (P.partOfVertex_mem v) (P.mem_partOfVertex v) hw (G.ne_of_adj h) h
true
import Mathlib.Algebra.Order.Group.Defs import Mathlib.Algebra.Order.Monoid.WithTop #align_import algebra.order.group.with_top from "leanprover-community/mathlib"@"f178c0e25af359f6cbc72a96a243efd3b12423a3" namespace WithTop variable {α : Type*} namespace LinearOrderedAddCommGroup variable [LinearOrderedAddCommGroup α] {a b c d : α} instance instNeg : Neg (WithTop α) where neg := Option.map fun a : α => -a protected def sub : ∀ _ _ : WithTop α, WithTop α | _, ⊤ => ⊤ | ⊤, (x : α) => ⊤ | (x : α), (y : α) => (x - y : α) instance instSub : Sub (WithTop α) where sub := WithTop.LinearOrderedAddCommGroup.sub @[simp, norm_cast] theorem coe_neg (a : α) : ((-a : α) : WithTop α) = -a := rfl #align with_top.coe_neg WithTop.LinearOrderedAddCommGroup.coe_neg @[simp] theorem neg_top : -(⊤ : WithTop α) = ⊤ := rfl @[simp, norm_cast] theorem coe_sub {a b : α} : (↑(a - b) : WithTop α) = ↑a - ↑b := rfl @[simp]
Mathlib/Algebra/Order/Group/WithTop.lean
61
62
theorem top_sub {a : WithTop α} : (⊤ : WithTop α) - a = ⊤ := by
cases a <;> rfl
true
import Mathlib.Probability.ConditionalProbability import Mathlib.MeasureTheory.Measure.Count #align_import probability.cond_count from "leanprover-community/mathlib"@"117e93f82b5f959f8193857370109935291f0cc4" noncomputable section open ProbabilityTheory open MeasureTheory MeasurableSpace namespace ProbabilityTheory variable {Ω : Type*} [MeasurableSpace Ω] def condCount (s : Set Ω) : Measure Ω := Measure.count[|s] #align probability_theory.cond_count ProbabilityTheory.condCount @[simp] theorem condCount_empty_meas : (condCount ∅ : Measure Ω) = 0 := by simp [condCount] #align probability_theory.cond_count_empty_meas ProbabilityTheory.condCount_empty_meas theorem condCount_empty {s : Set Ω} : condCount s ∅ = 0 := by simp #align probability_theory.cond_count_empty ProbabilityTheory.condCount_empty theorem finite_of_condCount_ne_zero {s t : Set Ω} (h : condCount s t ≠ 0) : s.Finite := by by_contra hs' simp [condCount, cond, Measure.count_apply_infinite hs'] at h #align probability_theory.finite_of_cond_count_ne_zero ProbabilityTheory.finite_of_condCount_ne_zero theorem condCount_univ [Fintype Ω] {s : Set Ω} : condCount Set.univ s = Measure.count s / Fintype.card Ω := by rw [condCount, cond_apply _ MeasurableSet.univ, ← ENNReal.div_eq_inv_mul, Set.univ_inter] congr rw [← Finset.coe_univ, Measure.count_apply, Finset.univ.tsum_subtype' fun _ => (1 : ENNReal)] · simp [Finset.card_univ] · exact (@Finset.coe_univ Ω _).symm ▸ MeasurableSet.univ #align probability_theory.cond_count_univ ProbabilityTheory.condCount_univ variable [MeasurableSingletonClass Ω] theorem condCount_isProbabilityMeasure {s : Set Ω} (hs : s.Finite) (hs' : s.Nonempty) : IsProbabilityMeasure (condCount s) := { measure_univ := by rw [condCount, cond_apply _ hs.measurableSet, Set.inter_univ, ENNReal.inv_mul_cancel] · exact fun h => hs'.ne_empty <| Measure.empty_of_count_eq_zero h · exact (Measure.count_apply_lt_top.2 hs).ne } #align probability_theory.cond_count_is_probability_measure ProbabilityTheory.condCount_isProbabilityMeasure theorem condCount_singleton (ω : Ω) (t : Set Ω) [Decidable (ω ∈ t)] : condCount {ω} t = if ω ∈ t then 1 else 0 := by rw [condCount, cond_apply _ (measurableSet_singleton ω), Measure.count_singleton, inv_one, one_mul] split_ifs · rw [(by simpa : ({ω} : Set Ω) ∩ t = {ω}), Measure.count_singleton] · rw [(by simpa : ({ω} : Set Ω) ∩ t = ∅), Measure.count_empty] #align probability_theory.cond_count_singleton ProbabilityTheory.condCount_singleton variable {s t u : Set Ω} theorem condCount_inter_self (hs : s.Finite) : condCount s (s ∩ t) = condCount s t := by rw [condCount, cond_inter_self _ hs.measurableSet] #align probability_theory.cond_count_inter_self ProbabilityTheory.condCount_inter_self theorem condCount_self (hs : s.Finite) (hs' : s.Nonempty) : condCount s s = 1 := by rw [condCount, cond_apply _ hs.measurableSet, Set.inter_self, ENNReal.inv_mul_cancel] · exact fun h => hs'.ne_empty <| Measure.empty_of_count_eq_zero h · exact (Measure.count_apply_lt_top.2 hs).ne #align probability_theory.cond_count_self ProbabilityTheory.condCount_self
Mathlib/Probability/CondCount.lean
110
115
theorem condCount_eq_one_of (hs : s.Finite) (hs' : s.Nonempty) (ht : s ⊆ t) : condCount s t = 1 := by haveI := condCount_isProbabilityMeasure hs hs'
haveI := condCount_isProbabilityMeasure hs hs' refine eq_of_le_of_not_lt prob_le_one ?_ rw [not_lt, ← condCount_self hs hs'] exact measure_mono ht
true
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat import Mathlib.RepresentationTheory.GroupCohomology.Basic import Mathlib.RepresentationTheory.Invariants universe v u noncomputable section open CategoryTheory Limits Representation variable {k G : Type u} [CommRing k] [Group G] (A : Rep k G) namespace groupCohomology section Differentials @[simps] def dZero : A →ₗ[k] G → A where toFun m g := A.ρ g m - m map_add' x y := funext fun g => by simp only [map_add, add_sub_add_comm]; rfl map_smul' r x := funext fun g => by dsimp; rw [map_smul, smul_sub]
Mathlib/RepresentationTheory/GroupCohomology/LowDegree.lean
100
103
theorem dZero_ker_eq_invariants : LinearMap.ker (dZero A) = invariants A.ρ := by ext x
ext x simp only [LinearMap.mem_ker, mem_invariants, ← @sub_eq_zero _ _ _ x, Function.funext_iff] rfl
true
import Batteries.Tactic.Lint.Basic import Mathlib.Algebra.Order.Monoid.Unbundled.Basic import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.Nat.Cast.Order import Mathlib.Init.Data.Int.Order set_option autoImplicit true namespace Linarith theorem lt_irrefl {α : Type u} [Preorder α] {a : α} : ¬a < a := _root_.lt_irrefl a theorem eq_of_eq_of_eq {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b = 0) : a + b = 0 := by simp [*]
Mathlib/Tactic/Linarith/Lemmas.lean
30
31
theorem le_of_eq_of_le {α} [OrderedSemiring α] {a b : α} (ha : a = 0) (hb : b ≤ 0) : a + b ≤ 0 := by
simp [*]
true
import Mathlib.Topology.MetricSpace.Basic #align_import topology.metric_space.infsep from "leanprover-community/mathlib"@"5316314b553dcf8c6716541851517c1a9715e22b" variable {α β : Type*} namespace Set section Einfsep open ENNReal open Function noncomputable def einfsep [EDist α] (s : Set α) : ℝ≥0∞ := ⨅ (x ∈ s) (y ∈ s) (_ : x ≠ y), edist x y #align set.einfsep Set.einfsep section EDist variable [EDist α] {x y : α} {s t : Set α} theorem le_einfsep_iff {d} : d ≤ s.einfsep ↔ ∀ x ∈ s, ∀ y ∈ s, x ≠ y → d ≤ edist x y := by simp_rw [einfsep, le_iInf_iff] #align set.le_einfsep_iff Set.le_einfsep_iff theorem einfsep_zero : s.einfsep = 0 ↔ ∀ C > 0, ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < C := by simp_rw [einfsep, ← _root_.bot_eq_zero, iInf_eq_bot, iInf_lt_iff, exists_prop] #align set.einfsep_zero Set.einfsep_zero theorem einfsep_pos : 0 < s.einfsep ↔ ∃ C > 0, ∀ x ∈ s, ∀ y ∈ s, x ≠ y → C ≤ edist x y := by rw [pos_iff_ne_zero, Ne, einfsep_zero] simp only [not_forall, not_exists, not_lt, exists_prop, not_and] #align set.einfsep_pos Set.einfsep_pos theorem einfsep_top : s.einfsep = ∞ ↔ ∀ x ∈ s, ∀ y ∈ s, x ≠ y → edist x y = ∞ := by simp_rw [einfsep, iInf_eq_top] #align set.einfsep_top Set.einfsep_top theorem einfsep_lt_top : s.einfsep < ∞ ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < ∞ := by simp_rw [einfsep, iInf_lt_iff, exists_prop] #align set.einfsep_lt_top Set.einfsep_lt_top theorem einfsep_ne_top : s.einfsep ≠ ∞ ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y ≠ ∞ := by simp_rw [← lt_top_iff_ne_top, einfsep_lt_top] #align set.einfsep_ne_top Set.einfsep_ne_top theorem einfsep_lt_iff {d} : s.einfsep < d ↔ ∃ x ∈ s, ∃ y ∈ s, x ≠ y ∧ edist x y < d := by simp_rw [einfsep, iInf_lt_iff, exists_prop] #align set.einfsep_lt_iff Set.einfsep_lt_iff theorem nontrivial_of_einfsep_lt_top (hs : s.einfsep < ∞) : s.Nontrivial := by rcases einfsep_lt_top.1 hs with ⟨_, hx, _, hy, hxy, _⟩ exact ⟨_, hx, _, hy, hxy⟩ #align set.nontrivial_of_einfsep_lt_top Set.nontrivial_of_einfsep_lt_top theorem nontrivial_of_einfsep_ne_top (hs : s.einfsep ≠ ∞) : s.Nontrivial := nontrivial_of_einfsep_lt_top (lt_top_iff_ne_top.mpr hs) #align set.nontrivial_of_einfsep_ne_top Set.nontrivial_of_einfsep_ne_top theorem Subsingleton.einfsep (hs : s.Subsingleton) : s.einfsep = ∞ := by rw [einfsep_top] exact fun _ hx _ hy hxy => (hxy <| hs hx hy).elim #align set.subsingleton.einfsep Set.Subsingleton.einfsep
Mathlib/Topology/MetricSpace/Infsep.lean
98
100
theorem le_einfsep_image_iff {d} {f : β → α} {s : Set β} : d ≤ einfsep (f '' s) ↔ ∀ x ∈ s, ∀ y ∈ s, f x ≠ f y → d ≤ edist (f x) (f y) := by
simp_rw [le_einfsep_iff, forall_mem_image]
true
import Mathlib.LinearAlgebra.AffineSpace.Basis import Mathlib.LinearAlgebra.Matrix.NonsingularInverse #align_import linear_algebra.affine_space.matrix from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Affine Matrix open Set universe u₁ u₂ u₃ u₄ variable {ι : Type u₁} {k : Type u₂} {V : Type u₃} {P : Type u₄} variable [AddCommGroup V] [AffineSpace V P] namespace AffineBasis section Ring variable [Ring k] [Module k V] (b : AffineBasis ι k P) noncomputable def toMatrix {ι' : Type*} (q : ι' → P) : Matrix ι' ι k := fun i j => b.coord j (q i) #align affine_basis.to_matrix AffineBasis.toMatrix @[simp] theorem toMatrix_apply {ι' : Type*} (q : ι' → P) (i : ι') (j : ι) : b.toMatrix q i j = b.coord j (q i) := rfl #align affine_basis.to_matrix_apply AffineBasis.toMatrix_apply @[simp] theorem toMatrix_self [DecidableEq ι] : b.toMatrix b = (1 : Matrix ι ι k) := by ext i j rw [toMatrix_apply, coord_apply, Matrix.one_eq_pi_single, Pi.single_apply] #align affine_basis.to_matrix_self AffineBasis.toMatrix_self variable {ι' : Type*} theorem toMatrix_row_sum_one [Fintype ι] (q : ι' → P) (i : ι') : ∑ j, b.toMatrix q i j = 1 := by simp #align affine_basis.to_matrix_row_sum_one AffineBasis.toMatrix_row_sum_one theorem affineIndependent_of_toMatrix_right_inv [Fintype ι] [Finite ι'] [DecidableEq ι'] (p : ι' → P) {A : Matrix ι ι' k} (hA : b.toMatrix p * A = 1) : AffineIndependent k p := by cases nonempty_fintype ι' rw [affineIndependent_iff_eq_of_fintype_affineCombination_eq] intro w₁ w₂ hw₁ hw₂ hweq have hweq' : w₁ ᵥ* b.toMatrix p = w₂ ᵥ* b.toMatrix p := by ext j change (∑ i, w₁ i • b.coord j (p i)) = ∑ i, w₂ i • b.coord j (p i) -- Porting note: Added `u` because `∘` was causing trouble have u : (fun i => b.coord j (p i)) = b.coord j ∘ p := by simp only [(· ∘ ·)] rw [← Finset.univ.affineCombination_eq_linear_combination _ _ hw₁, ← Finset.univ.affineCombination_eq_linear_combination _ _ hw₂, u, ← Finset.univ.map_affineCombination p w₁ hw₁, ← Finset.univ.map_affineCombination p w₂ hw₂, hweq] replace hweq' := congr_arg (fun w => w ᵥ* A) hweq' simpa only [Matrix.vecMul_vecMul, hA, Matrix.vecMul_one] using hweq' #align affine_basis.affine_independent_of_to_matrix_right_inv AffineBasis.affineIndependent_of_toMatrix_right_inv theorem affineSpan_eq_top_of_toMatrix_left_inv [Finite ι] [Fintype ι'] [DecidableEq ι] [Nontrivial k] (p : ι' → P) {A : Matrix ι ι' k} (hA : A * b.toMatrix p = 1) : affineSpan k (range p) = ⊤ := by cases nonempty_fintype ι suffices ∀ i, b i ∈ affineSpan k (range p) by rw [eq_top_iff, ← b.tot, affineSpan_le] rintro q ⟨i, rfl⟩ exact this i intro i have hAi : ∑ j, A i j = 1 := by calc ∑ j, A i j = ∑ j, A i j * ∑ l, b.toMatrix p j l := by simp _ = ∑ j, ∑ l, A i j * b.toMatrix p j l := by simp_rw [Finset.mul_sum] _ = ∑ l, ∑ j, A i j * b.toMatrix p j l := by rw [Finset.sum_comm] _ = ∑ l, (A * b.toMatrix p) i l := rfl _ = 1 := by simp [hA, Matrix.one_apply, Finset.filter_eq] have hbi : b i = Finset.univ.affineCombination k p (A i) := by apply b.ext_elem intro j rw [b.coord_apply, Finset.univ.map_affineCombination _ _ hAi, Finset.univ.affineCombination_eq_linear_combination _ _ hAi] change _ = (A * b.toMatrix p) i j simp_rw [hA, Matrix.one_apply, @eq_comm _ i j] rw [hbi] exact affineCombination_mem_affineSpan hAi p #align affine_basis.affine_span_eq_top_of_to_matrix_left_inv AffineBasis.affineSpan_eq_top_of_toMatrix_left_inv variable [Fintype ι] (b₂ : AffineBasis ι k P) @[simp] theorem toMatrix_vecMul_coords (x : P) : b₂.coords x ᵥ* b.toMatrix b₂ = b.coords x := by ext j change _ = b.coord j x conv_rhs => rw [← b₂.affineCombination_coord_eq_self x] rw [Finset.map_affineCombination _ _ _ (b₂.sum_coord_apply_eq_one x)] simp [Matrix.vecMul, Matrix.dotProduct, toMatrix_apply, coords] #align affine_basis.to_matrix_vec_mul_coords AffineBasis.toMatrix_vecMul_coords variable [DecidableEq ι] theorem toMatrix_mul_toMatrix : b.toMatrix b₂ * b₂.toMatrix b = 1 := by ext l m change (b.coords (b₂ l) ᵥ* b₂.toMatrix b) m = _ rw [toMatrix_vecMul_coords, coords_apply, ← toMatrix_apply, toMatrix_self] #align affine_basis.to_matrix_mul_to_matrix AffineBasis.toMatrix_mul_toMatrix theorem isUnit_toMatrix : IsUnit (b.toMatrix b₂) := ⟨{ val := b.toMatrix b₂ inv := b₂.toMatrix b val_inv := b.toMatrix_mul_toMatrix b₂ inv_val := b₂.toMatrix_mul_toMatrix b }, rfl⟩ #align affine_basis.is_unit_to_matrix AffineBasis.isUnit_toMatrix
Mathlib/LinearAlgebra/AffineSpace/Matrix.lean
137
146
theorem isUnit_toMatrix_iff [Nontrivial k] (p : ι → P) : IsUnit (b.toMatrix p) ↔ AffineIndependent k p ∧ affineSpan k (range p) = ⊤ := by constructor
constructor · rintro ⟨⟨B, A, hA, hA'⟩, rfl : B = b.toMatrix p⟩ exact ⟨b.affineIndependent_of_toMatrix_right_inv p hA, b.affineSpan_eq_top_of_toMatrix_left_inv p hA'⟩ · rintro ⟨h_tot, h_ind⟩ let b' : AffineBasis ι k P := ⟨p, h_tot, h_ind⟩ change IsUnit (b.toMatrix b') exact b.isUnit_toMatrix b'
true
import Mathlib.Data.Fintype.Basic import Mathlib.GroupTheory.OrderOfElement import Mathlib.Tactic.Zify import Mathlib.Data.Nat.Totient #align_import number_theory.lucas_primality from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
Mathlib/NumberTheory/LucasPrimality.lean
42
63
theorem lucas_primality (p : ℕ) (a : ZMod p) (ha : a ^ (p - 1) = 1) (hd : ∀ q : ℕ, q.Prime → q ∣ p - 1 → a ^ ((p - 1) / q) ≠ 1) : p.Prime := by have h0 : p ≠ 0 := by
have h0 : p ≠ 0 := by rintro ⟨⟩ exact hd 2 Nat.prime_two (dvd_zero _) (pow_zero _) have h1 : p ≠ 1 := by rintro ⟨⟩ exact hd 2 Nat.prime_two (dvd_zero _) (pow_zero _) have hp1 : 1 < p := lt_of_le_of_ne h0.bot_lt h1.symm have order_of_a : orderOf a = p - 1 := by apply orderOf_eq_of_pow_and_pow_div_prime _ ha hd exact tsub_pos_of_lt hp1 haveI : NeZero p := ⟨h0⟩ rw [Nat.prime_iff_card_units] -- Prove cardinality of `Units` of `ZMod p` is both `≤ p-1` and `≥ p-1` refine le_antisymm (Nat.card_units_zmod_lt_sub_one hp1) ?_ have hp' : p - 2 + 1 = p - 1 := tsub_add_eq_add_tsub hp1 let a' : (ZMod p)ˣ := Units.mkOfMulEqOne a (a ^ (p - 2)) (by rw [← pow_succ', hp', ha]) calc p - 1 = orderOf a := order_of_a.symm _ = orderOf a' := (orderOf_injective (Units.coeHom (ZMod p)) Units.ext a') _ ≤ Fintype.card (ZMod p)ˣ := orderOf_le_card_univ
true
namespace Nat @[reducible] def Coprime (m n : Nat) : Prop := gcd m n = 1 instance (m n : Nat) : Decidable (Coprime m n) := inferInstanceAs (Decidable (_ = 1)) theorem coprime_iff_gcd_eq_one : Coprime m n ↔ gcd m n = 1 := .rfl theorem Coprime.gcd_eq_one : Coprime m n → gcd m n = 1 := id theorem Coprime.symm : Coprime n m → Coprime m n := (gcd_comm m n).trans theorem coprime_comm : Coprime n m ↔ Coprime m n := ⟨Coprime.symm, Coprime.symm⟩ theorem Coprime.dvd_of_dvd_mul_right (H1 : Coprime k n) (H2 : k ∣ m * n) : k ∣ m := by let t := dvd_gcd (Nat.dvd_mul_left k m) H2 rwa [gcd_mul_left, H1.gcd_eq_one, Nat.mul_one] at t theorem Coprime.dvd_of_dvd_mul_left (H1 : Coprime k m) (H2 : k ∣ m * n) : k ∣ n := H1.dvd_of_dvd_mul_right (by rwa [Nat.mul_comm]) theorem Coprime.gcd_mul_left_cancel (m : Nat) (H : Coprime k n) : gcd (k * m) n = gcd m n := have H1 : Coprime (gcd (k * m) n) k := by rw [Coprime, Nat.gcd_assoc, H.symm.gcd_eq_one, gcd_one_right] Nat.dvd_antisymm (dvd_gcd (H1.dvd_of_dvd_mul_left (gcd_dvd_left _ _)) (gcd_dvd_right _ _)) (gcd_dvd_gcd_mul_left _ _ _) theorem Coprime.gcd_mul_right_cancel (m : Nat) (H : Coprime k n) : gcd (m * k) n = gcd m n := by rw [Nat.mul_comm m k, H.gcd_mul_left_cancel m] theorem Coprime.gcd_mul_left_cancel_right (n : Nat) (H : Coprime k m) : gcd m (k * n) = gcd m n := by rw [gcd_comm m n, gcd_comm m (k * n), H.gcd_mul_left_cancel n] theorem Coprime.gcd_mul_right_cancel_right (n : Nat) (H : Coprime k m) : gcd m (n * k) = gcd m n := by rw [Nat.mul_comm n k, H.gcd_mul_left_cancel_right n] theorem coprime_div_gcd_div_gcd (H : 0 < gcd m n) : Coprime (m / gcd m n) (n / gcd m n) := by rw [coprime_iff_gcd_eq_one, gcd_div (gcd_dvd_left m n) (gcd_dvd_right m n), Nat.div_self H] theorem not_coprime_of_dvd_of_dvd (dgt1 : 1 < d) (Hm : d ∣ m) (Hn : d ∣ n) : ¬ Coprime m n := fun co => Nat.not_le_of_gt dgt1 <| Nat.le_of_dvd Nat.zero_lt_one <| by rw [← co.gcd_eq_one]; exact dvd_gcd Hm Hn theorem exists_coprime (m n : Nat) : ∃ m' n', Coprime m' n' ∧ m = m' * gcd m n ∧ n = n' * gcd m n := by cases eq_zero_or_pos (gcd m n) with | inl h0 => rw [gcd_eq_zero_iff] at h0 refine ⟨1, 1, gcd_one_left 1, ?_⟩ simp [h0] | inr hpos => exact ⟨_, _, coprime_div_gcd_div_gcd hpos, (Nat.div_mul_cancel (gcd_dvd_left m n)).symm, (Nat.div_mul_cancel (gcd_dvd_right m n)).symm⟩ theorem exists_coprime' (H : 0 < gcd m n) : ∃ g m' n', 0 < g ∧ Coprime m' n' ∧ m = m' * g ∧ n = n' * g := let ⟨m', n', h⟩ := exists_coprime m n; ⟨_, m', n', H, h⟩ theorem Coprime.mul (H1 : Coprime m k) (H2 : Coprime n k) : Coprime (m * n) k := (H1.gcd_mul_left_cancel n).trans H2 theorem Coprime.mul_right (H1 : Coprime k m) (H2 : Coprime k n) : Coprime k (m * n) := (H1.symm.mul H2.symm).symm
.lake/packages/batteries/Batteries/Data/Nat/Gcd.lean
87
91
theorem Coprime.coprime_dvd_left (H1 : m ∣ k) (H2 : Coprime k n) : Coprime m n := by apply eq_one_of_dvd_one
apply eq_one_of_dvd_one rw [Coprime] at H2 have := Nat.gcd_dvd_gcd_of_dvd_left n H1 rwa [← H2]
true
import Mathlib.CategoryTheory.Balanced import Mathlib.CategoryTheory.LiftingProperties.Basic #align_import category_theory.limits.shapes.strong_epi from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] variable {P Q : C} class StrongEpi (f : P ⟶ Q) : Prop where epi : Epi f llp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Mono z], HasLiftingProperty f z #align category_theory.strong_epi CategoryTheory.StrongEpi #align category_theory.strong_epi.epi CategoryTheory.StrongEpi.epi theorem StrongEpi.mk' {f : P ⟶ Q} [Epi f] (hf : ∀ (X Y : C) (z : X ⟶ Y) (_ : Mono z) (u : P ⟶ X) (v : Q ⟶ Y) (sq : CommSq u f z v), sq.HasLift) : StrongEpi f := { epi := inferInstance llp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩ } #align category_theory.strong_epi.mk' CategoryTheory.StrongEpi.mk' class StrongMono (f : P ⟶ Q) : Prop where mono : Mono f rlp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Epi z], HasLiftingProperty z f #align category_theory.strong_mono CategoryTheory.StrongMono theorem StrongMono.mk' {f : P ⟶ Q} [Mono f] (hf : ∀ (X Y : C) (z : X ⟶ Y) (_ : Epi z) (u : X ⟶ P) (v : Y ⟶ Q) (sq : CommSq u z f v), sq.HasLift) : StrongMono f where mono := inferInstance rlp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩ #align category_theory.strong_mono.mk' CategoryTheory.StrongMono.mk' attribute [instance 100] StrongEpi.llp attribute [instance 100] StrongMono.rlp instance (priority := 100) epi_of_strongEpi (f : P ⟶ Q) [StrongEpi f] : Epi f := StrongEpi.epi #align category_theory.epi_of_strong_epi CategoryTheory.epi_of_strongEpi instance (priority := 100) mono_of_strongMono (f : P ⟶ Q) [StrongMono f] : Mono f := StrongMono.mono #align category_theory.mono_of_strong_mono CategoryTheory.mono_of_strongMono section variable {R : C} (f : P ⟶ Q) (g : Q ⟶ R) theorem strongEpi_comp [StrongEpi f] [StrongEpi g] : StrongEpi (f ≫ g) := { epi := epi_comp _ _ llp := by intros infer_instance } #align category_theory.strong_epi_comp CategoryTheory.strongEpi_comp theorem strongMono_comp [StrongMono f] [StrongMono g] : StrongMono (f ≫ g) := { mono := mono_comp _ _ rlp := by intros infer_instance } #align category_theory.strong_mono_comp CategoryTheory.strongMono_comp theorem strongEpi_of_strongEpi [StrongEpi (f ≫ g)] : StrongEpi g := { epi := epi_of_epi f g llp := fun {X Y} z _ => by constructor intro u v sq have h₀ : (f ≫ u) ≫ z = (f ≫ g) ≫ v := by simp only [Category.assoc, sq.w] exact CommSq.HasLift.mk' ⟨(CommSq.mk h₀).lift, by simp only [← cancel_mono z, Category.assoc, CommSq.fac_right, sq.w], by simp⟩ } #align category_theory.strong_epi_of_strong_epi CategoryTheory.strongEpi_of_strongEpi theorem strongMono_of_strongMono [StrongMono (f ≫ g)] : StrongMono f := { mono := mono_of_mono f g rlp := fun {X Y} z => by intros constructor intro u v sq have h₀ : u ≫ f ≫ g = z ≫ v ≫ g := by rw [← Category.assoc, eq_whisker sq.w, Category.assoc] exact CommSq.HasLift.mk' ⟨(CommSq.mk h₀).lift, by simp, by simp [← cancel_epi z, sq.w]⟩ } #align category_theory.strong_mono_of_strong_mono CategoryTheory.strongMono_of_strongMono instance (priority := 100) strongEpi_of_isIso [IsIso f] : StrongEpi f where epi := by infer_instance llp {X Y} z := HasLiftingProperty.of_left_iso _ _ #align category_theory.strong_epi_of_is_iso CategoryTheory.strongEpi_of_isIso instance (priority := 100) strongMono_of_isIso [IsIso f] : StrongMono f where mono := by infer_instance rlp {X Y} z := HasLiftingProperty.of_right_iso _ _ #align category_theory.strong_mono_of_is_iso CategoryTheory.strongMono_of_isIso theorem StrongEpi.of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'} (e : Arrow.mk f ≅ Arrow.mk g) [h : StrongEpi f] : StrongEpi g := { epi := by rw [Arrow.iso_w' e] haveI := epi_comp f e.hom.right apply epi_comp llp := fun {X Y} z => by intro apply HasLiftingProperty.of_arrow_iso_left e z } #align category_theory.strong_epi.of_arrow_iso CategoryTheory.StrongEpi.of_arrow_iso theorem StrongMono.of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'} (e : Arrow.mk f ≅ Arrow.mk g) [h : StrongMono f] : StrongMono g := { mono := by rw [Arrow.iso_w' e] haveI := mono_comp f e.hom.right apply mono_comp rlp := fun {X Y} z => by intro apply HasLiftingProperty.of_arrow_iso_right z e } #align category_theory.strong_mono.of_arrow_iso CategoryTheory.StrongMono.of_arrow_iso
Mathlib/CategoryTheory/Limits/Shapes/StrongEpi.lean
172
175
theorem StrongEpi.iff_of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'} (e : Arrow.mk f ≅ Arrow.mk g) : StrongEpi f ↔ StrongEpi g := by constructor <;> intro
constructor <;> intro exacts [StrongEpi.of_arrow_iso e, StrongEpi.of_arrow_iso e.symm]
true
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Eval import Mathlib.Algebra.Polynomial.Monic import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.Tactic.Abel #align_import ring_theory.polynomial.pochhammer from "leanprover-community/mathlib"@"53b216bcc1146df1c4a0a86877890ea9f1f01589" universe u v open Polynomial open Polynomial section Semiring variable (S : Type u) [Semiring S] noncomputable def ascPochhammer : ℕ → S[X] | 0 => 1 | n + 1 => X * (ascPochhammer n).comp (X + 1) #align pochhammer ascPochhammer @[simp] theorem ascPochhammer_zero : ascPochhammer S 0 = 1 := rfl #align pochhammer_zero ascPochhammer_zero @[simp] theorem ascPochhammer_one : ascPochhammer S 1 = X := by simp [ascPochhammer] #align pochhammer_one ascPochhammer_one theorem ascPochhammer_succ_left (n : ℕ) : ascPochhammer S (n + 1) = X * (ascPochhammer S n).comp (X + 1) := by rw [ascPochhammer] #align pochhammer_succ_left ascPochhammer_succ_left theorem monic_ascPochhammer (n : ℕ) [Nontrivial S] [NoZeroDivisors S] : Monic <| ascPochhammer S n := by induction' n with n hn · simp · have : leadingCoeff (X + 1 : S[X]) = 1 := leadingCoeff_X_add_C 1 rw [ascPochhammer_succ_left, Monic.def, leadingCoeff_mul, leadingCoeff_comp (ne_zero_of_eq_one <| natDegree_X_add_C 1 : natDegree (X + 1) ≠ 0), hn, monic_X, one_mul, one_mul, this, one_pow] section variable {S} {T : Type v} [Semiring T] @[simp] theorem ascPochhammer_map (f : S →+* T) (n : ℕ) : (ascPochhammer S n).map f = ascPochhammer T n := by induction' n with n ih · simp · simp [ih, ascPochhammer_succ_left, map_comp] #align pochhammer_map ascPochhammer_map
Mathlib/RingTheory/Polynomial/Pochhammer.lean
90
93
theorem ascPochhammer_eval₂ (f : S →+* T) (n : ℕ) (t : T) : (ascPochhammer T n).eval t = (ascPochhammer S n).eval₂ f t := by rw [← ascPochhammer_map f]
rw [← ascPochhammer_map f] exact eval_map f t
true
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Topology.Algebra.InfiniteSum.Order import Mathlib.Topology.Instances.Real import Mathlib.Topology.Instances.ENNReal #align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" open Filter Finset NNReal Topology variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α} theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) : CauchySeq f := by lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n) apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f) · exact_mod_cast hf · exact_mod_cast hd #align cauchy_seq_of_dist_le_of_summable cauchySeq_of_dist_le_of_summable theorem cauchySeq_of_summable_dist (h : Summable fun n ↦ dist (f n) (f n.succ)) : CauchySeq f := cauchySeq_of_dist_le_of_summable _ (fun _ ↦ le_rfl) h #align cauchy_seq_of_summable_dist cauchySeq_of_summable_dist theorem dist_le_tsum_of_dist_le_of_tendsto (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) {a : α} (ha : Tendsto f atTop (𝓝 a)) (n : ℕ) : dist (f n) a ≤ ∑' m, d (n + m) := by refine le_of_tendsto (tendsto_const_nhds.dist ha) (eventually_atTop.2 ⟨n, fun m hnm ↦ ?_⟩) refine le_trans (dist_le_Ico_sum_of_dist_le hnm fun _ _ ↦ hf _) ?_ rw [sum_Ico_eq_sum_range] refine sum_le_tsum (range _) (fun _ _ ↦ le_trans dist_nonneg (hf _)) ?_ exact hd.comp_injective (add_right_injective n) #align dist_le_tsum_of_dist_le_of_tendsto dist_le_tsum_of_dist_le_of_tendsto theorem dist_le_tsum_of_dist_le_of_tendsto₀ (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n) (hd : Summable d) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ tsum d := by simpa only [zero_add] using dist_le_tsum_of_dist_le_of_tendsto d hf hd ha 0 #align dist_le_tsum_of_dist_le_of_tendsto₀ dist_le_tsum_of_dist_le_of_tendsto₀ theorem dist_le_tsum_dist_of_tendsto (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) (n) : dist (f n) a ≤ ∑' m, dist (f (n + m)) (f (n + m).succ) := show dist (f n) a ≤ ∑' m, (fun x ↦ dist (f x) (f x.succ)) (n + m) from dist_le_tsum_of_dist_le_of_tendsto (fun n ↦ dist (f n) (f n.succ)) (fun _ ↦ le_rfl) h ha n #align dist_le_tsum_dist_of_tendsto dist_le_tsum_dist_of_tendsto theorem dist_le_tsum_dist_of_tendsto₀ (h : Summable fun n ↦ dist (f n) (f n.succ)) (ha : Tendsto f atTop (𝓝 a)) : dist (f 0) a ≤ ∑' n, dist (f n) (f n.succ) := by simpa only [zero_add] using dist_le_tsum_dist_of_tendsto h ha 0 #align dist_le_tsum_dist_of_tendsto₀ dist_le_tsum_dist_of_tendsto₀ section summable theorem not_summable_iff_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : ¬Summable f ↔ Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by lift f to ℕ → ℝ≥0 using hf exact mod_cast NNReal.not_summable_iff_tendsto_nat_atTop #align not_summable_iff_tendsto_nat_at_top_of_nonneg not_summable_iff_tendsto_nat_atTop_of_nonneg theorem summable_iff_not_tendsto_nat_atTop_of_nonneg {f : ℕ → ℝ} (hf : ∀ n, 0 ≤ f n) : Summable f ↔ ¬Tendsto (fun n : ℕ => ∑ i ∈ Finset.range n, f i) atTop atTop := by rw [← not_iff_not, Classical.not_not, not_summable_iff_tendsto_nat_atTop_of_nonneg hf] #align summable_iff_not_tendsto_nat_at_top_of_nonneg summable_iff_not_tendsto_nat_atTop_of_nonneg
Mathlib/Topology/Algebra/InfiniteSum/Real.lean
78
81
theorem summable_sigma_of_nonneg {β : α → Type*} {f : (Σ x, β x) → ℝ} (hf : ∀ x, 0 ≤ f x) : Summable f ↔ (∀ x, Summable fun y => f ⟨x, y⟩) ∧ Summable fun x => ∑' y, f ⟨x, y⟩ := by lift f to (Σx, β x) → ℝ≥0 using hf
lift f to (Σx, β x) → ℝ≥0 using hf exact mod_cast NNReal.summable_sigma
true
import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Constructions.BorelSpace.Metrizable #align_import measure_theory.function.simple_func_dense from "leanprover-community/mathlib"@"7317149f12f55affbc900fc873d0d422485122b9" open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical open Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} noncomputable section namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc variable [MeasurableSpace α] [PseudoEMetricSpace α] [OpensMeasurableSpace α] noncomputable def nearestPtInd (e : ℕ → α) : ℕ → α →ₛ ℕ | 0 => const α 0 | N + 1 => piecewise (⋂ k ≤ N, { x | edist (e (N + 1)) x < edist (e k) x }) (MeasurableSet.iInter fun _ => MeasurableSet.iInter fun _ => measurableSet_lt measurable_edist_right measurable_edist_right) (const α <| N + 1) (nearestPtInd e N) #align measure_theory.simple_func.nearest_pt_ind MeasureTheory.SimpleFunc.nearestPtInd noncomputable def nearestPt (e : ℕ → α) (N : ℕ) : α →ₛ α := (nearestPtInd e N).map e #align measure_theory.simple_func.nearest_pt MeasureTheory.SimpleFunc.nearestPt @[simp] theorem nearestPtInd_zero (e : ℕ → α) : nearestPtInd e 0 = const α 0 := rfl #align measure_theory.simple_func.nearest_pt_ind_zero MeasureTheory.SimpleFunc.nearestPtInd_zero @[simp] theorem nearestPt_zero (e : ℕ → α) : nearestPt e 0 = const α (e 0) := rfl #align measure_theory.simple_func.nearest_pt_zero MeasureTheory.SimpleFunc.nearestPt_zero
Mathlib/MeasureTheory/Function/SimpleFuncDense.lean
87
92
theorem nearestPtInd_succ (e : ℕ → α) (N : ℕ) (x : α) : nearestPtInd e (N + 1) x = if ∀ k ≤ N, edist (e (N + 1)) x < edist (e k) x then N + 1 else nearestPtInd e N x := by simp only [nearestPtInd, coe_piecewise, Set.piecewise]
simp only [nearestPtInd, coe_piecewise, Set.piecewise] congr simp
true
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h]
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
86
88
theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by
rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h]
true
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Set.Sigma #align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Multiset variable {ι : Type*} namespace Finset section Sigma variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i)) protected def sigma : Finset (Σi, α i) := ⟨_, s.nodup.sigma fun i => (t i).nodup⟩ #align finset.sigma Finset.sigma variable {s s₁ s₂ t t₁ t₂} @[simp] theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 := Multiset.mem_sigma #align finset.mem_sigma Finset.mem_sigma @[simp, norm_cast] theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) : (s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) := Set.ext fun _ => mem_sigma #align finset.coe_sigma Finset.coe_sigma @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty] #align finset.sigma_nonempty Finset.sigma_nonempty @[simp] theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and] #align finset.sigma_eq_empty Finset.sigma_eq_empty @[mono] theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ := fun ⟨i, _⟩ h => let ⟨hi, ha⟩ := mem_sigma.1 h mem_sigma.2 ⟨hs hi, ht i ha⟩ #align finset.sigma_mono Finset.sigma_mono
Mathlib/Data/Finset/Sigma.lean
75
81
theorem pairwiseDisjoint_map_sigmaMk : (s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by intro i _ j _ hij
intro i _ j _ hij rw [Function.onFun, disjoint_left] simp_rw [mem_map, Function.Embedding.sigmaMk_apply] rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩ exact hij (congr_arg Sigma.fst hz'.symm)
true
import Mathlib.Tactic.CategoryTheory.Elementwise import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Limits.Constructions.EpiMono import Mathlib.CategoryTheory.Limits.Preserves.Limits import Mathlib.CategoryTheory.Limits.Shapes.Types #align_import category_theory.glue_data from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" noncomputable section open CategoryTheory.Limits namespace CategoryTheory universe v u₁ u₂ variable (C : Type u₁) [Category.{v} C] {C' : Type u₂} [Category.{v} C'] -- Porting note(#5171): linter not ported yet -- @[nolint has_nonempty_instance] structure GlueData where J : Type v U : J → C V : J × J → C f : ∀ i j, V (i, j) ⟶ U i f_mono : ∀ i j, Mono (f i j) := by infer_instance f_hasPullback : ∀ i j k, HasPullback (f i j) (f i k) := by infer_instance f_id : ∀ i, IsIso (f i i) := by infer_instance t : ∀ i j, V (i, j) ⟶ V (j, i) t_id : ∀ i, t i i = 𝟙 _ t' : ∀ i j k, pullback (f i j) (f i k) ⟶ pullback (f j k) (f j i) t_fac : ∀ i j k, t' i j k ≫ pullback.snd = pullback.fst ≫ t i j cocycle : ∀ i j k, t' i j k ≫ t' j k i ≫ t' k i j = 𝟙 _ #align category_theory.glue_data CategoryTheory.GlueData attribute [simp] GlueData.t_id attribute [instance] GlueData.f_id GlueData.f_mono GlueData.f_hasPullback attribute [reassoc] GlueData.t_fac GlueData.cocycle namespace GlueData variable {C} variable (D : GlueData C) @[simp]
Mathlib/CategoryTheory/GlueData.lean
77
85
theorem t'_iij (i j : D.J) : D.t' i i j = (pullbackSymmetry _ _).hom := by have eq₁ := D.t_fac i i j
have eq₁ := D.t_fac i i j have eq₂ := (IsIso.eq_comp_inv (D.f i i)).mpr (@pullback.condition _ _ _ _ _ _ (D.f i j) _) rw [D.t_id, Category.comp_id, eq₂] at eq₁ have eq₃ := (IsIso.eq_comp_inv (D.f i i)).mp eq₁ rw [Category.assoc, ← pullback.condition, ← Category.assoc] at eq₃ exact Mono.right_cancellation _ _ ((Mono.right_cancellation _ _ eq₃).trans (pullbackSymmetry_hom_comp_fst _ _).symm)
true
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open Real RealInnerProductSpace namespace EuclideanGeometry open InnerProductGeometry variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {p p₀ p₁ p₂ : P} nonrec def angle (p1 p2 p3 : P) : ℝ := angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2) #align euclidean_geometry.angle EuclideanGeometry.angle @[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) : ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1) have hf1 : (f x).1 ≠ 0 := by simp [hx12] have hf2 : (f x).2 ≠ 0 := by simp [hx32] exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle @[simp] theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂] [InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂] (f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map] #align affine_isometry.angle_map AffineIsometry.angle_map @[simp, norm_cast] theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) : haveI : Nonempty s := ⟨p₁⟩ ∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ := haveI : Nonempty s := ⟨p₁⟩ s.subtypeₐᵢ.angle_map p₁ p₂ p₃ #align affine_subspace.angle_coe AffineSubspace.angle_coe @[simp] theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd @[simp] theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ := (AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const @[simp] theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub @[simp] theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const @[simp] theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ := angle_vadd_const _ _ _ _ #align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const @[simp] theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ := angle_const_vadd _ _ _ _ #align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add @[simp] theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v #align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const @[simp] theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃ #align euclidean_geometry.angle_const_sub EuclideanGeometry.angle_const_sub @[simp]
Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean
125
126
theorem angle_neg (v₁ v₂ v₃ : V) : ∠ (-v₁) (-v₂) (-v₃) = ∠ v₁ v₂ v₃ := by
simpa only [zero_sub] using angle_const_sub 0 v₁ v₂ v₃
true
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
Mathlib/LinearAlgebra/CliffordAlgebra/Inversion.lean
44
47
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,
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]
true
import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Equiv import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.Monotone import Mathlib.Data.Set.Function import Mathlib.Algebra.Group.Basic import Mathlib.Tactic.WLOG #align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open scoped NNReal ENNReal Topology UniformConvergence open Set MeasureTheory Filter -- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E] noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ := ⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s }, ∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i)) #align evariation_on eVariationOn def BoundedVariationOn (f : α → E) (s : Set α) := eVariationOn f s ≠ ∞ #align has_bounded_variation_on BoundedVariationOn def LocallyBoundedVariationOn (f : α → E) (s : Set α) := ∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b) #align has_locally_bounded_variation_on LocallyBoundedVariationOn namespace eVariationOn
Mathlib/Analysis/BoundedVariation.lean
83
86
theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by obtain ⟨x, hx⟩ := hs
obtain ⟨x, hx⟩ := hs exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩
true