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import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition open FiniteDimensional namespace Subalgebra variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (A B : Subalgebra R S) [Module.Free R A] [Module.Free R B] [Module.Free A (Algebra.adjoin A (B : Set S))] [Module.Free B (Algebra.adjoin B (A : Set S))] theorem rank_sup_eq_rank_left_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R A * Module.rank A (Algebra.adjoin A (B : Set S)) := by rcases subsingleton_or_nontrivial R with _ | _ · haveI := Module.subsingleton R S; simp nontriviality S using rank_subsingleton' letI : Algebra A (Algebra.adjoin A (B : Set S)) := Subalgebra.algebra _ letI : SMul A (Algebra.adjoin A (B : Set S)) := Algebra.toSMul haveI : IsScalarTower R A (Algebra.adjoin A (B : Set S)) := IsScalarTower.of_algebraMap_eq (congrFun rfl) rw [rank_mul_rank R A (Algebra.adjoin A (B : Set S))] change _ = Module.rank R ((Algebra.adjoin A (B : Set S)).restrictScalars R) rw [Algebra.restrictScalars_adjoin]; rfl
Mathlib/Algebra/Algebra/Subalgebra/Rank.lean
43
45
theorem rank_sup_eq_rank_right_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R B * Module.rank B (Algebra.adjoin B (A : Set S)) := by
rw [sup_comm, rank_sup_eq_rank_left_mul_rank_of_free]
1
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import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition open FiniteDimensional namespace Subalgebra variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (A B : Subalgebra R S) [Module.Free R A] [Module.Free R B] [Module.Free A (Algebra.adjoin A (B : Set S))] [Module.Free B (Algebra.adjoin B (A : Set S))] theorem rank_sup_eq_rank_left_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R A * Module.rank A (Algebra.adjoin A (B : Set S)) := by rcases subsingleton_or_nontrivial R with _ | _ · haveI := Module.subsingleton R S; simp nontriviality S using rank_subsingleton' letI : Algebra A (Algebra.adjoin A (B : Set S)) := Subalgebra.algebra _ letI : SMul A (Algebra.adjoin A (B : Set S)) := Algebra.toSMul haveI : IsScalarTower R A (Algebra.adjoin A (B : Set S)) := IsScalarTower.of_algebraMap_eq (congrFun rfl) rw [rank_mul_rank R A (Algebra.adjoin A (B : Set S))] change _ = Module.rank R ((Algebra.adjoin A (B : Set S)).restrictScalars R) rw [Algebra.restrictScalars_adjoin]; rfl theorem rank_sup_eq_rank_right_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R B * Module.rank B (Algebra.adjoin B (A : Set S)) := by rw [sup_comm, rank_sup_eq_rank_left_mul_rank_of_free]
Mathlib/Algebra/Algebra/Subalgebra/Rank.lean
47
49
theorem finrank_sup_eq_finrank_left_mul_finrank_of_free : finrank R ↥(A ⊔ B) = finrank R A * finrank A (Algebra.adjoin A (B : Set S)) := by
simpa only [map_mul] using congr(Cardinal.toNat $(rank_sup_eq_rank_left_mul_rank_of_free A B))
1
2.718282
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import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition open FiniteDimensional namespace Subalgebra variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (A B : Subalgebra R S) [Module.Free R A] [Module.Free R B] [Module.Free A (Algebra.adjoin A (B : Set S))] [Module.Free B (Algebra.adjoin B (A : Set S))] theorem rank_sup_eq_rank_left_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R A * Module.rank A (Algebra.adjoin A (B : Set S)) := by rcases subsingleton_or_nontrivial R with _ | _ · haveI := Module.subsingleton R S; simp nontriviality S using rank_subsingleton' letI : Algebra A (Algebra.adjoin A (B : Set S)) := Subalgebra.algebra _ letI : SMul A (Algebra.adjoin A (B : Set S)) := Algebra.toSMul haveI : IsScalarTower R A (Algebra.adjoin A (B : Set S)) := IsScalarTower.of_algebraMap_eq (congrFun rfl) rw [rank_mul_rank R A (Algebra.adjoin A (B : Set S))] change _ = Module.rank R ((Algebra.adjoin A (B : Set S)).restrictScalars R) rw [Algebra.restrictScalars_adjoin]; rfl theorem rank_sup_eq_rank_right_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R B * Module.rank B (Algebra.adjoin B (A : Set S)) := by rw [sup_comm, rank_sup_eq_rank_left_mul_rank_of_free] theorem finrank_sup_eq_finrank_left_mul_finrank_of_free : finrank R ↥(A ⊔ B) = finrank R A * finrank A (Algebra.adjoin A (B : Set S)) := by simpa only [map_mul] using congr(Cardinal.toNat $(rank_sup_eq_rank_left_mul_rank_of_free A B))
Mathlib/Algebra/Algebra/Subalgebra/Rank.lean
51
53
theorem finrank_sup_eq_finrank_right_mul_finrank_of_free : finrank R ↥(A ⊔ B) = finrank R B * finrank B (Algebra.adjoin B (A : Set S)) := by
rw [sup_comm, finrank_sup_eq_finrank_left_mul_finrank_of_free]
1
2.718282
0
0.5
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495
import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom namespace IsSemiringHom variable {β : Type v} [Semiring α] [Semiring β] variable {f : α → β} (hf : IsSemiringHom f) {x y : α}
Mathlib/Deprecated/Ring.lean
54
54
theorem id : IsSemiringHom (@id α) := by
constructor <;> intros <;> rfl
1
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom namespace IsSemiringHom variable {β : Type v} [Semiring α] [Semiring β] variable {f : α → β} (hf : IsSemiringHom f) {x y : α} theorem id : IsSemiringHom (@id α) := by constructor <;> intros <;> rfl #align is_semiring_hom.id IsSemiringHom.id
Mathlib/Deprecated/Ring.lean
58
63
theorem comp (hf : IsSemiringHom f) {γ} [Semiring γ] {g : β → γ} (hg : IsSemiringHom g) : IsSemiringHom (g ∘ f) := { map_zero := by
simpa [map_zero hf] using map_zero hg map_one := by simpa [map_one hf] using map_one hg map_add := fun {x y} => by simp [map_add hf, map_add hg] map_mul := fun {x y} => by simp [map_mul hf, map_mul hg] }
4
54.59815
2
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom namespace IsSemiringHom variable {β : Type v} [Semiring α] [Semiring β] variable {f : α → β} (hf : IsSemiringHom f) {x y : α} theorem id : IsSemiringHom (@id α) := by constructor <;> intros <;> rfl #align is_semiring_hom.id IsSemiringHom.id theorem comp (hf : IsSemiringHom f) {γ} [Semiring γ] {g : β → γ} (hg : IsSemiringHom g) : IsSemiringHom (g ∘ f) := { map_zero := by simpa [map_zero hf] using map_zero hg map_one := by simpa [map_one hf] using map_one hg map_add := fun {x y} => by simp [map_add hf, map_add hg] map_mul := fun {x y} => by simp [map_mul hf, map_mul hg] } #align is_semiring_hom.comp IsSemiringHom.comp
Mathlib/Deprecated/Ring.lean
67
68
theorem to_isAddMonoidHom (hf : IsSemiringHom f) : IsAddMonoidHom f := { ‹IsSemiringHom f› with map_add := by
apply @‹IsSemiringHom f›.map_add }
1
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom structure IsRingHom {α : Type u} {β : Type v} [Ring α] [Ring β] (f : α → β) : Prop where map_one : f 1 = 1 map_mul : ∀ x y, f (x * y) = f x * f y map_add : ∀ x y, f (x + y) = f x + f y #align is_ring_hom IsRingHom namespace IsRingHom variable {β : Type v} [Ring α] [Ring β] theorem of_semiring {f : α → β} (H : IsSemiringHom f) : IsRingHom f := { H with } #align is_ring_hom.of_semiring IsRingHom.of_semiring variable {f : α → β} (hf : IsRingHom f) {x y : α}
Mathlib/Deprecated/Ring.lean
100
103
theorem map_zero (hf : IsRingHom f) : f 0 = 0 := calc f 0 = f (0 + 0) - f 0 := by
rw [hf.map_add]; simp _ = 0 := by simp
2
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom structure IsRingHom {α : Type u} {β : Type v} [Ring α] [Ring β] (f : α → β) : Prop where map_one : f 1 = 1 map_mul : ∀ x y, f (x * y) = f x * f y map_add : ∀ x y, f (x + y) = f x + f y #align is_ring_hom IsRingHom namespace IsRingHom variable {β : Type v} [Ring α] [Ring β] theorem of_semiring {f : α → β} (H : IsSemiringHom f) : IsRingHom f := { H with } #align is_ring_hom.of_semiring IsRingHom.of_semiring variable {f : α → β} (hf : IsRingHom f) {x y : α} theorem map_zero (hf : IsRingHom f) : f 0 = 0 := calc f 0 = f (0 + 0) - f 0 := by rw [hf.map_add]; simp _ = 0 := by simp #align is_ring_hom.map_zero IsRingHom.map_zero
Mathlib/Deprecated/Ring.lean
107
110
theorem map_neg (hf : IsRingHom f) : f (-x) = -f x := calc f (-x) = f (-x + x) - f x := by
rw [hf.map_add]; simp _ = -f x := by simp [hf.map_zero]
2
7.389056
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8
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom structure IsRingHom {α : Type u} {β : Type v} [Ring α] [Ring β] (f : α → β) : Prop where map_one : f 1 = 1 map_mul : ∀ x y, f (x * y) = f x * f y map_add : ∀ x y, f (x + y) = f x + f y #align is_ring_hom IsRingHom namespace IsRingHom variable {β : Type v} [Ring α] [Ring β] theorem of_semiring {f : α → β} (H : IsSemiringHom f) : IsRingHom f := { H with } #align is_ring_hom.of_semiring IsRingHom.of_semiring variable {f : α → β} (hf : IsRingHom f) {x y : α} theorem map_zero (hf : IsRingHom f) : f 0 = 0 := calc f 0 = f (0 + 0) - f 0 := by rw [hf.map_add]; simp _ = 0 := by simp #align is_ring_hom.map_zero IsRingHom.map_zero theorem map_neg (hf : IsRingHom f) : f (-x) = -f x := calc f (-x) = f (-x + x) - f x := by rw [hf.map_add]; simp _ = -f x := by simp [hf.map_zero] #align is_ring_hom.map_neg IsRingHom.map_neg
Mathlib/Deprecated/Ring.lean
114
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theorem map_sub (hf : IsRingHom f) : f (x - y) = f x - f y := by
simp [sub_eq_add_neg, hf.map_add, hf.map_neg]
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom structure IsRingHom {α : Type u} {β : Type v} [Ring α] [Ring β] (f : α → β) : Prop where map_one : f 1 = 1 map_mul : ∀ x y, f (x * y) = f x * f y map_add : ∀ x y, f (x + y) = f x + f y #align is_ring_hom IsRingHom namespace IsRingHom variable {β : Type v} [Ring α] [Ring β] theorem of_semiring {f : α → β} (H : IsSemiringHom f) : IsRingHom f := { H with } #align is_ring_hom.of_semiring IsRingHom.of_semiring variable {f : α → β} (hf : IsRingHom f) {x y : α} theorem map_zero (hf : IsRingHom f) : f 0 = 0 := calc f 0 = f (0 + 0) - f 0 := by rw [hf.map_add]; simp _ = 0 := by simp #align is_ring_hom.map_zero IsRingHom.map_zero theorem map_neg (hf : IsRingHom f) : f (-x) = -f x := calc f (-x) = f (-x + x) - f x := by rw [hf.map_add]; simp _ = -f x := by simp [hf.map_zero] #align is_ring_hom.map_neg IsRingHom.map_neg theorem map_sub (hf : IsRingHom f) : f (x - y) = f x - f y := by simp [sub_eq_add_neg, hf.map_add, hf.map_neg] #align is_ring_hom.map_sub IsRingHom.map_sub
Mathlib/Deprecated/Ring.lean
119
119
theorem id : IsRingHom (@id α) := by
constructor <;> intros <;> rfl
1
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import Mathlib.Deprecated.Group #align_import deprecated.ring from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" universe u v w variable {α : Type u} structure IsSemiringHom {α : Type u} {β : Type v} [Semiring α] [Semiring β] (f : α → β) : Prop where map_zero : f 0 = 0 map_one : f 1 = 1 map_add : ∀ x y, f (x + y) = f x + f y map_mul : ∀ x y, f (x * y) = f x * f y #align is_semiring_hom IsSemiringHom structure IsRingHom {α : Type u} {β : Type v} [Ring α] [Ring β] (f : α → β) : Prop where map_one : f 1 = 1 map_mul : ∀ x y, f (x * y) = f x * f y map_add : ∀ x y, f (x + y) = f x + f y #align is_ring_hom IsRingHom namespace IsRingHom variable {β : Type v} [Ring α] [Ring β] theorem of_semiring {f : α → β} (H : IsSemiringHom f) : IsRingHom f := { H with } #align is_ring_hom.of_semiring IsRingHom.of_semiring variable {f : α → β} (hf : IsRingHom f) {x y : α} theorem map_zero (hf : IsRingHom f) : f 0 = 0 := calc f 0 = f (0 + 0) - f 0 := by rw [hf.map_add]; simp _ = 0 := by simp #align is_ring_hom.map_zero IsRingHom.map_zero theorem map_neg (hf : IsRingHom f) : f (-x) = -f x := calc f (-x) = f (-x + x) - f x := by rw [hf.map_add]; simp _ = -f x := by simp [hf.map_zero] #align is_ring_hom.map_neg IsRingHom.map_neg theorem map_sub (hf : IsRingHom f) : f (x - y) = f x - f y := by simp [sub_eq_add_neg, hf.map_add, hf.map_neg] #align is_ring_hom.map_sub IsRingHom.map_sub theorem id : IsRingHom (@id α) := by constructor <;> intros <;> rfl #align is_ring_hom.id IsRingHom.id -- see Note [no instance on morphisms]
Mathlib/Deprecated/Ring.lean
124
127
theorem comp (hf : IsRingHom f) {γ} [Ring γ] {g : β → γ} (hg : IsRingHom g) : IsRingHom (g ∘ f) := { map_add := fun x y => by simp only [Function.comp_apply, map_add hf, map_add hg] map_mul := fun x y => by simp only [Function.comp_apply, map_mul hf, map_mul hg] map_one := by
simp only [Function.comp_apply, map_one hf, map_one hg] }
1
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import Mathlib.Analysis.Complex.Polynomial import Mathlib.NumberTheory.NumberField.Norm import Mathlib.NumberTheory.NumberField.Basic import Mathlib.RingTheory.Norm import Mathlib.Topology.Instances.Complex import Mathlib.RingTheory.RootsOfUnity.Basic #align_import number_theory.number_field.embeddings from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" open scoped Classical namespace NumberField.Embeddings section Fintype open FiniteDimensional variable (K : Type*) [Field K] [NumberField K] variable (A : Type*) [Field A] [CharZero A] noncomputable instance : Fintype (K →+* A) := Fintype.ofEquiv (K →ₐ[ℚ] A) RingHom.equivRatAlgHom.symm variable [IsAlgClosed A]
Mathlib/NumberTheory/NumberField/Embeddings.lean
54
55
theorem card : Fintype.card (K →+* A) = finrank ℚ K := by
rw [Fintype.ofEquiv_card RingHom.equivRatAlgHom.symm, AlgHom.card]
1
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import Mathlib.Analysis.Complex.Polynomial import Mathlib.NumberTheory.NumberField.Norm import Mathlib.NumberTheory.NumberField.Basic import Mathlib.RingTheory.Norm import Mathlib.Topology.Instances.Complex import Mathlib.RingTheory.RootsOfUnity.Basic #align_import number_theory.number_field.embeddings from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c" open scoped Classical namespace NumberField.Embeddings section Roots open Set Polynomial variable (K A : Type*) [Field K] [NumberField K] [Field A] [Algebra ℚ A] [IsAlgClosed A] (x : K)
Mathlib/NumberTheory/NumberField/Embeddings.lean
73
77
theorem range_eval_eq_rootSet_minpoly : (range fun φ : K →+* A => φ x) = (minpoly ℚ x).rootSet A := by
convert (NumberField.isAlgebraic K).range_eval_eq_rootSet_minpoly A x using 1 ext a exact ⟨fun ⟨φ, hφ⟩ => ⟨φ.toRatAlgHom, hφ⟩, fun ⟨φ, hφ⟩ => ⟨φ.toRingHom, hφ⟩⟩
3
20.085537
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import Mathlib.CategoryTheory.Preadditive.InjectiveResolution import Mathlib.Algebra.Homology.HomotopyCategory import Mathlib.Data.Set.Subsingleton import Mathlib.Tactic.AdaptationNote #align_import category_theory.abelian.injective_resolution from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open CategoryTheory Category Limits universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] open Injective namespace InjectiveResolution set_option linter.uppercaseLean3 false -- `InjectiveResolution` section variable [HasZeroObject C] [HasZeroMorphisms C] def descFZero {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex.X 0 ⟶ I.cocomplex.X 0 := factorThru (f ≫ I.ι.f 0) (J.ι.f 0) #align category_theory.InjectiveResolution.desc_f_zero CategoryTheory.InjectiveResolution.descFZero end section Abelian variable [Abelian C] lemma exact₀ {Z : C} (I : InjectiveResolution Z) : (ShortComplex.mk _ _ I.ι_f_zero_comp_complex_d).Exact := ShortComplex.exact_of_f_is_kernel _ I.isLimitKernelFork def descFOne {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex.X 1 ⟶ I.cocomplex.X 1 := J.exact₀.descToInjective (descFZero f I J ≫ I.cocomplex.d 0 1) (by dsimp; simp [← assoc, assoc, descFZero]) #align category_theory.InjectiveResolution.desc_f_one CategoryTheory.InjectiveResolution.descFOne @[simp]
Mathlib/CategoryTheory/Abelian/InjectiveResolution.lean
76
79
theorem descFOne_zero_comm {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex.d 0 1 ≫ descFOne f I J = descFZero f I J ≫ I.cocomplex.d 0 1 := by
apply J.exact₀.comp_descToInjective
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import Mathlib.CategoryTheory.Preadditive.InjectiveResolution import Mathlib.Algebra.Homology.HomotopyCategory import Mathlib.Data.Set.Subsingleton import Mathlib.Tactic.AdaptationNote #align_import category_theory.abelian.injective_resolution from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open CategoryTheory Category Limits universe v u namespace CategoryTheory variable {C : Type u} [Category.{v} C] open Injective namespace InjectiveResolution set_option linter.uppercaseLean3 false -- `InjectiveResolution` section variable [HasZeroObject C] [HasZeroMorphisms C] def descFZero {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex.X 0 ⟶ I.cocomplex.X 0 := factorThru (f ≫ I.ι.f 0) (J.ι.f 0) #align category_theory.InjectiveResolution.desc_f_zero CategoryTheory.InjectiveResolution.descFZero end section Abelian variable [Abelian C] lemma exact₀ {Z : C} (I : InjectiveResolution Z) : (ShortComplex.mk _ _ I.ι_f_zero_comp_complex_d).Exact := ShortComplex.exact_of_f_is_kernel _ I.isLimitKernelFork def descFOne {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex.X 1 ⟶ I.cocomplex.X 1 := J.exact₀.descToInjective (descFZero f I J ≫ I.cocomplex.d 0 1) (by dsimp; simp [← assoc, assoc, descFZero]) #align category_theory.InjectiveResolution.desc_f_one CategoryTheory.InjectiveResolution.descFOne @[simp] theorem descFOne_zero_comm {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex.d 0 1 ≫ descFOne f I J = descFZero f I J ≫ I.cocomplex.d 0 1 := by apply J.exact₀.comp_descToInjective #align category_theory.InjectiveResolution.desc_f_one_zero_comm CategoryTheory.InjectiveResolution.descFOne_zero_comm def descFSucc {Y Z : C} (I : InjectiveResolution Y) (J : InjectiveResolution Z) (n : ℕ) (g : J.cocomplex.X n ⟶ I.cocomplex.X n) (g' : J.cocomplex.X (n + 1) ⟶ I.cocomplex.X (n + 1)) (w : J.cocomplex.d n (n + 1) ≫ g' = g ≫ I.cocomplex.d n (n + 1)) : Σ'g'' : J.cocomplex.X (n + 2) ⟶ I.cocomplex.X (n + 2), J.cocomplex.d (n + 1) (n + 2) ≫ g'' = g' ≫ I.cocomplex.d (n + 1) (n + 2) := ⟨(J.exact_succ n).descToInjective (g' ≫ I.cocomplex.d (n + 1) (n + 2)) (by simp [reassoc_of% w]), (J.exact_succ n).comp_descToInjective _ _⟩ #align category_theory.InjectiveResolution.desc_f_succ CategoryTheory.InjectiveResolution.descFSucc def desc {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.cocomplex ⟶ I.cocomplex := CochainComplex.mkHom _ _ (descFZero f _ _) (descFOne f _ _) (descFOne_zero_comm f I J).symm fun n ⟨g, g', w⟩ => ⟨(descFSucc I J n g g' w.symm).1, (descFSucc I J n g g' w.symm).2.symm⟩ #align category_theory.InjectiveResolution.desc CategoryTheory.InjectiveResolution.desc @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Abelian/InjectiveResolution.lean
102
105
theorem desc_commutes {Y Z : C} (f : Z ⟶ Y) (I : InjectiveResolution Y) (J : InjectiveResolution Z) : J.ι ≫ desc f I J = (CochainComplex.single₀ C).map f ≫ I.ι := by
ext simp [desc, descFOne, descFZero]
2
7.389056
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import Mathlib.Data.List.Basic #align_import data.bool.all_any from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" variable {α : Type*} {p : α → Prop} [DecidablePred p] {l : List α} {a : α} namespace List -- Porting note: in Batteries #align list.all_nil List.all_nil #align list.all_cons List.all_consₓ
Mathlib/Data/Bool/AllAny.lean
27
30
theorem all_iff_forall {p : α → Bool} : all l p ↔ ∀ a ∈ l, p a := by
induction' l with a l ih · exact iff_of_true rfl (forall_mem_nil _) simp only [all_cons, Bool.and_eq_true_iff, ih, forall_mem_cons]
3
20.085537
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import Mathlib.Data.List.Basic #align_import data.bool.all_any from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" variable {α : Type*} {p : α → Prop} [DecidablePred p] {l : List α} {a : α} namespace List -- Porting note: in Batteries #align list.all_nil List.all_nil #align list.all_cons List.all_consₓ theorem all_iff_forall {p : α → Bool} : all l p ↔ ∀ a ∈ l, p a := by induction' l with a l ih · exact iff_of_true rfl (forall_mem_nil _) simp only [all_cons, Bool.and_eq_true_iff, ih, forall_mem_cons] #align list.all_iff_forall List.all_iff_forall
Mathlib/Data/Bool/AllAny.lean
33
34
theorem all_iff_forall_prop : (all l fun a => p a) ↔ ∀ a ∈ l, p a := by
simp only [all_iff_forall, decide_eq_true_iff]
1
2.718282
0
0.5
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import Mathlib.Data.List.Basic #align_import data.bool.all_any from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" variable {α : Type*} {p : α → Prop} [DecidablePred p] {l : List α} {a : α} namespace List -- Porting note: in Batteries #align list.all_nil List.all_nil #align list.all_cons List.all_consₓ theorem all_iff_forall {p : α → Bool} : all l p ↔ ∀ a ∈ l, p a := by induction' l with a l ih · exact iff_of_true rfl (forall_mem_nil _) simp only [all_cons, Bool.and_eq_true_iff, ih, forall_mem_cons] #align list.all_iff_forall List.all_iff_forall theorem all_iff_forall_prop : (all l fun a => p a) ↔ ∀ a ∈ l, p a := by simp only [all_iff_forall, decide_eq_true_iff] #align list.all_iff_forall_prop List.all_iff_forall_prop -- Porting note: in Batteries #align list.any_nil List.any_nil #align list.any_cons List.any_consₓ
Mathlib/Data/Bool/AllAny.lean
42
45
theorem any_iff_exists {p : α → Bool} : any l p ↔ ∃ a ∈ l, p a := by
induction' l with a l ih · exact iff_of_false Bool.false_ne_true (not_exists_mem_nil _) simp only [any_cons, Bool.or_eq_true_iff, ih, exists_mem_cons_iff]
3
20.085537
1
0.5
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499
import Mathlib.Data.List.Basic #align_import data.bool.all_any from "leanprover-community/mathlib"@"5a3e819569b0f12cbec59d740a2613018e7b8eec" variable {α : Type*} {p : α → Prop} [DecidablePred p] {l : List α} {a : α} namespace List -- Porting note: in Batteries #align list.all_nil List.all_nil #align list.all_cons List.all_consₓ theorem all_iff_forall {p : α → Bool} : all l p ↔ ∀ a ∈ l, p a := by induction' l with a l ih · exact iff_of_true rfl (forall_mem_nil _) simp only [all_cons, Bool.and_eq_true_iff, ih, forall_mem_cons] #align list.all_iff_forall List.all_iff_forall theorem all_iff_forall_prop : (all l fun a => p a) ↔ ∀ a ∈ l, p a := by simp only [all_iff_forall, decide_eq_true_iff] #align list.all_iff_forall_prop List.all_iff_forall_prop -- Porting note: in Batteries #align list.any_nil List.any_nil #align list.any_cons List.any_consₓ theorem any_iff_exists {p : α → Bool} : any l p ↔ ∃ a ∈ l, p a := by induction' l with a l ih · exact iff_of_false Bool.false_ne_true (not_exists_mem_nil _) simp only [any_cons, Bool.or_eq_true_iff, ih, exists_mem_cons_iff] #align list.any_iff_exists List.any_iff_exists
Mathlib/Data/Bool/AllAny.lean
48
48
theorem any_iff_exists_prop : (any l fun a => p a) ↔ ∃ a ∈ l, p a := by
simp [any_iff_exists]
1
2.718282
0
0.5
4
499
import Mathlib.Data.Multiset.Sum import Mathlib.Data.Finset.Card #align_import data.finset.sum from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999" open Function Multiset Sum namespace Finset variable {α β : Type*} (s : Finset α) (t : Finset β) def disjSum : Finset (Sum α β) := ⟨s.1.disjSum t.1, s.2.disjSum t.2⟩ #align finset.disj_sum Finset.disjSum @[simp] theorem val_disjSum : (s.disjSum t).1 = s.1.disjSum t.1 := rfl #align finset.val_disj_sum Finset.val_disjSum @[simp] theorem empty_disjSum : (∅ : Finset α).disjSum t = t.map Embedding.inr := val_inj.1 <| Multiset.zero_disjSum _ #align finset.empty_disj_sum Finset.empty_disjSum @[simp] theorem disjSum_empty : s.disjSum (∅ : Finset β) = s.map Embedding.inl := val_inj.1 <| Multiset.disjSum_zero _ #align finset.disj_sum_empty Finset.disjSum_empty @[simp] theorem card_disjSum : (s.disjSum t).card = s.card + t.card := Multiset.card_disjSum _ _ #align finset.card_disj_sum Finset.card_disjSum
Mathlib/Data/Finset/Sum.lean
54
56
theorem disjoint_map_inl_map_inr : Disjoint (s.map Embedding.inl) (t.map Embedding.inr) := by
simp_rw [disjoint_left, mem_map] rintro x ⟨a, _, rfl⟩ ⟨b, _, ⟨⟩⟩
2
7.389056
1
0.5
2
500
import Mathlib.Data.Multiset.Sum import Mathlib.Data.Finset.Card #align_import data.finset.sum from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999" open Function Multiset Sum namespace Finset variable {α β : Type*} (s : Finset α) (t : Finset β) def disjSum : Finset (Sum α β) := ⟨s.1.disjSum t.1, s.2.disjSum t.2⟩ #align finset.disj_sum Finset.disjSum @[simp] theorem val_disjSum : (s.disjSum t).1 = s.1.disjSum t.1 := rfl #align finset.val_disj_sum Finset.val_disjSum @[simp] theorem empty_disjSum : (∅ : Finset α).disjSum t = t.map Embedding.inr := val_inj.1 <| Multiset.zero_disjSum _ #align finset.empty_disj_sum Finset.empty_disjSum @[simp] theorem disjSum_empty : s.disjSum (∅ : Finset β) = s.map Embedding.inl := val_inj.1 <| Multiset.disjSum_zero _ #align finset.disj_sum_empty Finset.disjSum_empty @[simp] theorem card_disjSum : (s.disjSum t).card = s.card + t.card := Multiset.card_disjSum _ _ #align finset.card_disj_sum Finset.card_disjSum theorem disjoint_map_inl_map_inr : Disjoint (s.map Embedding.inl) (t.map Embedding.inr) := by simp_rw [disjoint_left, mem_map] rintro x ⟨a, _, rfl⟩ ⟨b, _, ⟨⟩⟩ #align finset.disjoint_map_inl_map_inr Finset.disjoint_map_inl_map_inr @[simp] theorem map_inl_disjUnion_map_inr : (s.map Embedding.inl).disjUnion (t.map Embedding.inr) (disjoint_map_inl_map_inr _ _) = s.disjSum t := rfl #align finset.map_inl_disj_union_map_inr Finset.map_inl_disjUnion_map_inr variable {s t} {s₁ s₂ : Finset α} {t₁ t₂ : Finset β} {a : α} {b : β} {x : Sum α β} theorem mem_disjSum : x ∈ s.disjSum t ↔ (∃ a, a ∈ s ∧ inl a = x) ∨ ∃ b, b ∈ t ∧ inr b = x := Multiset.mem_disjSum #align finset.mem_disj_sum Finset.mem_disjSum @[simp] theorem inl_mem_disjSum : inl a ∈ s.disjSum t ↔ a ∈ s := Multiset.inl_mem_disjSum #align finset.inl_mem_disj_sum Finset.inl_mem_disjSum @[simp] theorem inr_mem_disjSum : inr b ∈ s.disjSum t ↔ b ∈ t := Multiset.inr_mem_disjSum #align finset.inr_mem_disj_sum Finset.inr_mem_disjSum @[simp]
Mathlib/Data/Finset/Sum.lean
83
83
theorem disjSum_eq_empty : s.disjSum t = ∅ ↔ s = ∅ ∧ t = ∅ := by
simp [ext_iff]
1
2.718282
0
0.5
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500
import Mathlib.Algebra.Category.ModuleCat.Basic import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.CategoryTheory.Monoidal.Linear #align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2" -- Porting note: Module set_option linter.uppercaseLean3 false suppress_compilation universe v w x u open CategoryTheory namespace ModuleCat variable {R : Type u} [CommRing R] namespace MonoidalCategory -- The definitions inside this namespace are essentially private. -- After we build the `MonoidalCategory (Module R)` instance, -- you should use that API. open TensorProduct attribute [local ext] TensorProduct.ext def tensorObj (M N : ModuleCat R) : ModuleCat R := ModuleCat.of R (M ⊗[R] N) #align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') : tensorObj M M' ⟶ tensorObj N N' := TensorProduct.map f g #align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) : tensorObj M N₁ ⟶ tensorObj M N₂ := f.lTensor M def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) : tensorObj M₁ N ⟶ tensorObj M₂ N := f.rTensor N
Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean
75
78
theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by
-- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl
3
20.085537
1
0.5
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501
import Mathlib.Algebra.Category.ModuleCat.Basic import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.CategoryTheory.Monoidal.Linear #align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2" -- Porting note: Module set_option linter.uppercaseLean3 false suppress_compilation universe v w x u open CategoryTheory namespace ModuleCat variable {R : Type u} [CommRing R] namespace MonoidalCategory -- The definitions inside this namespace are essentially private. -- After we build the `MonoidalCategory (Module R)` instance, -- you should use that API. open TensorProduct attribute [local ext] TensorProduct.ext def tensorObj (M N : ModuleCat R) : ModuleCat R := ModuleCat.of R (M ⊗[R] N) #align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') : tensorObj M M' ⟶ tensorObj N N' := TensorProduct.map f g #align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) : tensorObj M N₁ ⟶ tensorObj M N₂ := f.lTensor M def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) : tensorObj M₁ N ⟶ tensorObj M₂ N := f.rTensor N theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_id ModuleCat.MonoidalCategory.tensor_id
Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean
81
85
theorem tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂) : tensorHom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensorHom f₁ f₂ ≫ tensorHom g₁ g₂ := by
-- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl
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import Mathlib.Algebra.Category.ModuleCat.Basic import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.CategoryTheory.Monoidal.Linear #align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2" -- Porting note: Module set_option linter.uppercaseLean3 false suppress_compilation universe v w x u open CategoryTheory namespace ModuleCat variable {R : Type u} [CommRing R] namespace MonoidalCategory -- The definitions inside this namespace are essentially private. -- After we build the `MonoidalCategory (Module R)` instance, -- you should use that API. open TensorProduct attribute [local ext] TensorProduct.ext def tensorObj (M N : ModuleCat R) : ModuleCat R := ModuleCat.of R (M ⊗[R] N) #align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') : tensorObj M M' ⟶ tensorObj N N' := TensorProduct.map f g #align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) : tensorObj M N₁ ⟶ tensorObj M N₂ := f.lTensor M def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) : tensorObj M₁ N ⟶ tensorObj M₂ N := f.rTensor N theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_id ModuleCat.MonoidalCategory.tensor_id theorem tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂) : tensorHom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensorHom f₁ f₂ ≫ tensorHom g₁ g₂ := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_comp ModuleCat.MonoidalCategory.tensor_comp def associator (M : ModuleCat.{v} R) (N : ModuleCat.{w} R) (K : ModuleCat.{x} R) : tensorObj (tensorObj M N) K ≅ tensorObj M (tensorObj N K) := (TensorProduct.assoc R M N K).toModuleIso #align Module.monoidal_category.associator ModuleCat.MonoidalCategory.associator def leftUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (R ⊗[R] M) ≅ M := (LinearEquiv.toModuleIso (TensorProduct.lid R M) : of R (R ⊗ M) ≅ of R M).trans (ofSelfIso M) #align Module.monoidal_category.left_unitor ModuleCat.MonoidalCategory.leftUnitor def rightUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (M ⊗[R] R) ≅ M := (LinearEquiv.toModuleIso (TensorProduct.rid R M) : of R (M ⊗ R) ≅ of R M).trans (ofSelfIso M) #align Module.monoidal_category.right_unitor ModuleCat.MonoidalCategory.rightUnitor instance : MonoidalCategoryStruct (ModuleCat.{u} R) where tensorObj := tensorObj whiskerLeft := whiskerLeft whiskerRight := whiskerRight tensorHom f g := TensorProduct.map f g tensorUnit := ModuleCat.of R R associator := associator leftUnitor := leftUnitor rightUnitor := rightUnitor section open TensorProduct (assoc map) private theorem associator_naturality_aux {X₁ X₂ X₃ : Type*} [AddCommMonoid X₁] [AddCommMonoid X₂] [AddCommMonoid X₃] [Module R X₁] [Module R X₂] [Module R X₃] {Y₁ Y₂ Y₃ : Type*} [AddCommMonoid Y₁] [AddCommMonoid Y₂] [AddCommMonoid Y₃] [Module R Y₁] [Module R Y₂] [Module R Y₃] (f₁ : X₁ →ₗ[R] Y₁) (f₂ : X₂ →ₗ[R] Y₂) (f₃ : X₃ →ₗ[R] Y₃) : ↑(assoc R Y₁ Y₂ Y₃) ∘ₗ map (map f₁ f₂) f₃ = map f₁ (map f₂ f₃) ∘ₗ ↑(assoc R X₁ X₂ X₃) := by apply TensorProduct.ext_threefold intro x y z rfl -- Porting note: private so hopeful never used outside this file -- #align Module.monoidal_category.associator_naturality_aux ModuleCat.MonoidalCategory.associator_naturality_aux variable (R) private theorem pentagon_aux (W X Y Z : Type*) [AddCommMonoid W] [AddCommMonoid X] [AddCommMonoid Y] [AddCommMonoid Z] [Module R W] [Module R X] [Module R Y] [Module R Z] : (((assoc R X Y Z).toLinearMap.lTensor W).comp (assoc R W (X ⊗[R] Y) Z).toLinearMap).comp ((assoc R W X Y).toLinearMap.rTensor Z) = (assoc R W X (Y ⊗[R] Z)).toLinearMap.comp (assoc R (W ⊗[R] X) Y Z).toLinearMap := by apply TensorProduct.ext_fourfold intro w x y z rfl -- Porting note: private so hopeful never used outside this file -- #align Module.monoidal_category.pentagon_aux Module.monoidal_category.pentagon_aux end
Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean
151
155
theorem associator_naturality {X₁ X₂ X₃ Y₁ Y₂ Y₃ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃) : tensorHom (tensorHom f₁ f₂) f₃ ≫ (associator Y₁ Y₂ Y₃).hom = (associator X₁ X₂ X₃).hom ≫ tensorHom f₁ (tensorHom f₂ f₃) := by
convert associator_naturality_aux f₁ f₂ f₃ using 1
1
2.718282
0
0.5
4
501
import Mathlib.Algebra.Category.ModuleCat.Basic import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.CategoryTheory.Monoidal.Linear #align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2" -- Porting note: Module set_option linter.uppercaseLean3 false suppress_compilation universe v w x u open CategoryTheory namespace ModuleCat variable {R : Type u} [CommRing R] namespace MonoidalCategory -- The definitions inside this namespace are essentially private. -- After we build the `MonoidalCategory (Module R)` instance, -- you should use that API. open TensorProduct attribute [local ext] TensorProduct.ext def tensorObj (M N : ModuleCat R) : ModuleCat R := ModuleCat.of R (M ⊗[R] N) #align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') : tensorObj M M' ⟶ tensorObj N N' := TensorProduct.map f g #align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) : tensorObj M N₁ ⟶ tensorObj M N₂ := f.lTensor M def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) : tensorObj M₁ N ⟶ tensorObj M₂ N := f.rTensor N theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_id ModuleCat.MonoidalCategory.tensor_id theorem tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂) : tensorHom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensorHom f₁ f₂ ≫ tensorHom g₁ g₂ := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_comp ModuleCat.MonoidalCategory.tensor_comp def associator (M : ModuleCat.{v} R) (N : ModuleCat.{w} R) (K : ModuleCat.{x} R) : tensorObj (tensorObj M N) K ≅ tensorObj M (tensorObj N K) := (TensorProduct.assoc R M N K).toModuleIso #align Module.monoidal_category.associator ModuleCat.MonoidalCategory.associator def leftUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (R ⊗[R] M) ≅ M := (LinearEquiv.toModuleIso (TensorProduct.lid R M) : of R (R ⊗ M) ≅ of R M).trans (ofSelfIso M) #align Module.monoidal_category.left_unitor ModuleCat.MonoidalCategory.leftUnitor def rightUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (M ⊗[R] R) ≅ M := (LinearEquiv.toModuleIso (TensorProduct.rid R M) : of R (M ⊗ R) ≅ of R M).trans (ofSelfIso M) #align Module.monoidal_category.right_unitor ModuleCat.MonoidalCategory.rightUnitor instance : MonoidalCategoryStruct (ModuleCat.{u} R) where tensorObj := tensorObj whiskerLeft := whiskerLeft whiskerRight := whiskerRight tensorHom f g := TensorProduct.map f g tensorUnit := ModuleCat.of R R associator := associator leftUnitor := leftUnitor rightUnitor := rightUnitor section open TensorProduct (assoc map) private theorem associator_naturality_aux {X₁ X₂ X₃ : Type*} [AddCommMonoid X₁] [AddCommMonoid X₂] [AddCommMonoid X₃] [Module R X₁] [Module R X₂] [Module R X₃] {Y₁ Y₂ Y₃ : Type*} [AddCommMonoid Y₁] [AddCommMonoid Y₂] [AddCommMonoid Y₃] [Module R Y₁] [Module R Y₂] [Module R Y₃] (f₁ : X₁ →ₗ[R] Y₁) (f₂ : X₂ →ₗ[R] Y₂) (f₃ : X₃ →ₗ[R] Y₃) : ↑(assoc R Y₁ Y₂ Y₃) ∘ₗ map (map f₁ f₂) f₃ = map f₁ (map f₂ f₃) ∘ₗ ↑(assoc R X₁ X₂ X₃) := by apply TensorProduct.ext_threefold intro x y z rfl -- Porting note: private so hopeful never used outside this file -- #align Module.monoidal_category.associator_naturality_aux ModuleCat.MonoidalCategory.associator_naturality_aux variable (R) private theorem pentagon_aux (W X Y Z : Type*) [AddCommMonoid W] [AddCommMonoid X] [AddCommMonoid Y] [AddCommMonoid Z] [Module R W] [Module R X] [Module R Y] [Module R Z] : (((assoc R X Y Z).toLinearMap.lTensor W).comp (assoc R W (X ⊗[R] Y) Z).toLinearMap).comp ((assoc R W X Y).toLinearMap.rTensor Z) = (assoc R W X (Y ⊗[R] Z)).toLinearMap.comp (assoc R (W ⊗[R] X) Y Z).toLinearMap := by apply TensorProduct.ext_fourfold intro w x y z rfl -- Porting note: private so hopeful never used outside this file -- #align Module.monoidal_category.pentagon_aux Module.monoidal_category.pentagon_aux end theorem associator_naturality {X₁ X₂ X₃ Y₁ Y₂ Y₃ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃) : tensorHom (tensorHom f₁ f₂) f₃ ≫ (associator Y₁ Y₂ Y₃).hom = (associator X₁ X₂ X₃).hom ≫ tensorHom f₁ (tensorHom f₂ f₃) := by convert associator_naturality_aux f₁ f₂ f₃ using 1 #align Module.monoidal_category.associator_naturality ModuleCat.MonoidalCategory.associator_naturality
Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean
158
162
theorem pentagon (W X Y Z : ModuleCat R) : whiskerRight (associator W X Y).hom Z ≫ (associator W (tensorObj X Y) Z).hom ≫ whiskerLeft W (associator X Y Z).hom = (associator (tensorObj W X) Y Z).hom ≫ (associator W X (tensorObj Y Z)).hom := by
convert pentagon_aux R W X Y Z using 1
1
2.718282
0
0.5
4
501
import Mathlib.GroupTheory.GroupAction.Prod import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Cast.Basic assert_not_exists DenselyOrdered variable {M : Type*} class NatPowAssoc (M : Type*) [MulOneClass M] [Pow M ℕ] : Prop where protected npow_add : ∀ (k n: ℕ) (x : M), x ^ (k + n) = x ^ k * x ^ n protected npow_zero : ∀ (x : M), x ^ 0 = 1 protected npow_one : ∀ (x : M), x ^ 1 = x section MulOneClass variable [MulOneClass M] [Pow M ℕ] [NatPowAssoc M] theorem npow_add (k n : ℕ) (x : M) : x ^ (k + n) = x ^ k * x ^ n := NatPowAssoc.npow_add k n x @[simp] theorem npow_zero (x : M) : x ^ 0 = 1 := NatPowAssoc.npow_zero x @[simp] theorem npow_one (x : M) : x ^ 1 = x := NatPowAssoc.npow_one x
Mathlib/Algebra/Group/NatPowAssoc.lean
65
67
theorem npow_mul_assoc (k m n : ℕ) (x : M) : (x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by
simp only [← npow_add, add_assoc]
1
2.718282
0
0.5
4
502
import Mathlib.GroupTheory.GroupAction.Prod import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Cast.Basic assert_not_exists DenselyOrdered variable {M : Type*} class NatPowAssoc (M : Type*) [MulOneClass M] [Pow M ℕ] : Prop where protected npow_add : ∀ (k n: ℕ) (x : M), x ^ (k + n) = x ^ k * x ^ n protected npow_zero : ∀ (x : M), x ^ 0 = 1 protected npow_one : ∀ (x : M), x ^ 1 = x section MulOneClass variable [MulOneClass M] [Pow M ℕ] [NatPowAssoc M] theorem npow_add (k n : ℕ) (x : M) : x ^ (k + n) = x ^ k * x ^ n := NatPowAssoc.npow_add k n x @[simp] theorem npow_zero (x : M) : x ^ 0 = 1 := NatPowAssoc.npow_zero x @[simp] theorem npow_one (x : M) : x ^ 1 = x := NatPowAssoc.npow_one x theorem npow_mul_assoc (k m n : ℕ) (x : M) : (x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by simp only [← npow_add, add_assoc]
Mathlib/Algebra/Group/NatPowAssoc.lean
69
70
theorem npow_mul_comm (m n : ℕ) (x : M) : x ^ m * x ^ n = x ^ n * x ^ m := by
simp only [← npow_add, add_comm]
1
2.718282
0
0.5
4
502
import Mathlib.GroupTheory.GroupAction.Prod import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Cast.Basic assert_not_exists DenselyOrdered variable {M : Type*} class NatPowAssoc (M : Type*) [MulOneClass M] [Pow M ℕ] : Prop where protected npow_add : ∀ (k n: ℕ) (x : M), x ^ (k + n) = x ^ k * x ^ n protected npow_zero : ∀ (x : M), x ^ 0 = 1 protected npow_one : ∀ (x : M), x ^ 1 = x section MulOneClass variable [MulOneClass M] [Pow M ℕ] [NatPowAssoc M] theorem npow_add (k n : ℕ) (x : M) : x ^ (k + n) = x ^ k * x ^ n := NatPowAssoc.npow_add k n x @[simp] theorem npow_zero (x : M) : x ^ 0 = 1 := NatPowAssoc.npow_zero x @[simp] theorem npow_one (x : M) : x ^ 1 = x := NatPowAssoc.npow_one x theorem npow_mul_assoc (k m n : ℕ) (x : M) : (x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by simp only [← npow_add, add_assoc] theorem npow_mul_comm (m n : ℕ) (x : M) : x ^ m * x ^ n = x ^ n * x ^ m := by simp only [← npow_add, add_comm]
Mathlib/Algebra/Group/NatPowAssoc.lean
72
75
theorem npow_mul (x : M) (m n : ℕ) : x ^ (m * n) = (x ^ m) ^ n := by
induction n with | zero => rw [npow_zero, Nat.mul_zero, npow_zero] | succ n ih => rw [mul_add, npow_add, ih, mul_one, npow_add, npow_one]
3
20.085537
1
0.5
4
502
import Mathlib.GroupTheory.GroupAction.Prod import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Cast.Basic assert_not_exists DenselyOrdered variable {M : Type*} class NatPowAssoc (M : Type*) [MulOneClass M] [Pow M ℕ] : Prop where protected npow_add : ∀ (k n: ℕ) (x : M), x ^ (k + n) = x ^ k * x ^ n protected npow_zero : ∀ (x : M), x ^ 0 = 1 protected npow_one : ∀ (x : M), x ^ 1 = x section MulOneClass variable [MulOneClass M] [Pow M ℕ] [NatPowAssoc M] theorem npow_add (k n : ℕ) (x : M) : x ^ (k + n) = x ^ k * x ^ n := NatPowAssoc.npow_add k n x @[simp] theorem npow_zero (x : M) : x ^ 0 = 1 := NatPowAssoc.npow_zero x @[simp] theorem npow_one (x : M) : x ^ 1 = x := NatPowAssoc.npow_one x theorem npow_mul_assoc (k m n : ℕ) (x : M) : (x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by simp only [← npow_add, add_assoc] theorem npow_mul_comm (m n : ℕ) (x : M) : x ^ m * x ^ n = x ^ n * x ^ m := by simp only [← npow_add, add_comm] theorem npow_mul (x : M) (m n : ℕ) : x ^ (m * n) = (x ^ m) ^ n := by induction n with | zero => rw [npow_zero, Nat.mul_zero, npow_zero] | succ n ih => rw [mul_add, npow_add, ih, mul_one, npow_add, npow_one]
Mathlib/Algebra/Group/NatPowAssoc.lean
77
79
theorem npow_mul' (x : M) (m n : ℕ) : x ^ (m * n) = (x ^ n) ^ m := by
rw [mul_comm] exact npow_mul x n m
2
7.389056
1
0.5
4
502
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.CategoryTheory.Monoidal.Discrete import Mathlib.CategoryTheory.Monoidal.CoherenceLemmas import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.Algebra.PUnitInstances #align_import category_theory.monoidal.Mon_ from "leanprover-community/mathlib"@"a836c6dba9bd1ee2a0cdc9af0006a596f243031c" set_option linter.uppercaseLean3 false universe v₁ v₂ u₁ u₂ u open CategoryTheory MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] structure Mon_ where X : C one : 𝟙_ C ⟶ X mul : X ⊗ X ⟶ X one_mul : (one ▷ X) ≫ mul = (λ_ X).hom := by aesop_cat mul_one : (X ◁ one) ≫ mul = (ρ_ X).hom := by aesop_cat -- Obviously there is some flexibility stating this axiom. -- This one has left- and right-hand sides matching the statement of `Monoid.mul_assoc`, -- and chooses to place the associator on the right-hand side. -- The heuristic is that unitors and associators "don't have much weight". mul_assoc : (mul ▷ X) ≫ mul = (α_ X X X).hom ≫ (X ◁ mul) ≫ mul := by aesop_cat #align Mon_ Mon_ attribute [reassoc] Mon_.one_mul Mon_.mul_one attribute [simp] Mon_.one_mul Mon_.mul_one -- We prove a more general `@[simp]` lemma below. attribute [reassoc (attr := simp)] Mon_.mul_assoc namespace Mon_ @[simps] def trivial : Mon_ C where X := 𝟙_ C one := 𝟙 _ mul := (λ_ _).hom mul_assoc := by coherence mul_one := by coherence #align Mon_.trivial Mon_.trivial instance : Inhabited (Mon_ C) := ⟨trivial C⟩ variable {C} variable {M : Mon_ C} @[simp]
Mathlib/CategoryTheory/Monoidal/Mon_.lean
75
76
theorem one_mul_hom {Z : C} (f : Z ⟶ M.X) : (M.one ⊗ f) ≫ M.mul = (λ_ Z).hom ≫ f := by
rw [tensorHom_def'_assoc, M.one_mul, leftUnitor_naturality]
1
2.718282
0
0.5
4
503
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.CategoryTheory.Monoidal.Discrete import Mathlib.CategoryTheory.Monoidal.CoherenceLemmas import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.Algebra.PUnitInstances #align_import category_theory.monoidal.Mon_ from "leanprover-community/mathlib"@"a836c6dba9bd1ee2a0cdc9af0006a596f243031c" set_option linter.uppercaseLean3 false universe v₁ v₂ u₁ u₂ u open CategoryTheory MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] structure Mon_ where X : C one : 𝟙_ C ⟶ X mul : X ⊗ X ⟶ X one_mul : (one ▷ X) ≫ mul = (λ_ X).hom := by aesop_cat mul_one : (X ◁ one) ≫ mul = (ρ_ X).hom := by aesop_cat -- Obviously there is some flexibility stating this axiom. -- This one has left- and right-hand sides matching the statement of `Monoid.mul_assoc`, -- and chooses to place the associator on the right-hand side. -- The heuristic is that unitors and associators "don't have much weight". mul_assoc : (mul ▷ X) ≫ mul = (α_ X X X).hom ≫ (X ◁ mul) ≫ mul := by aesop_cat #align Mon_ Mon_ attribute [reassoc] Mon_.one_mul Mon_.mul_one attribute [simp] Mon_.one_mul Mon_.mul_one -- We prove a more general `@[simp]` lemma below. attribute [reassoc (attr := simp)] Mon_.mul_assoc namespace Mon_ @[simps] def trivial : Mon_ C where X := 𝟙_ C one := 𝟙 _ mul := (λ_ _).hom mul_assoc := by coherence mul_one := by coherence #align Mon_.trivial Mon_.trivial instance : Inhabited (Mon_ C) := ⟨trivial C⟩ variable {C} variable {M : Mon_ C} @[simp] theorem one_mul_hom {Z : C} (f : Z ⟶ M.X) : (M.one ⊗ f) ≫ M.mul = (λ_ Z).hom ≫ f := by rw [tensorHom_def'_assoc, M.one_mul, leftUnitor_naturality] #align Mon_.one_mul_hom Mon_.one_mul_hom @[simp]
Mathlib/CategoryTheory/Monoidal/Mon_.lean
80
81
theorem mul_one_hom {Z : C} (f : Z ⟶ M.X) : (f ⊗ M.one) ≫ M.mul = (ρ_ Z).hom ≫ f := by
rw [tensorHom_def_assoc, M.mul_one, rightUnitor_naturality]
1
2.718282
0
0.5
4
503
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.CategoryTheory.Monoidal.Discrete import Mathlib.CategoryTheory.Monoidal.CoherenceLemmas import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.Algebra.PUnitInstances #align_import category_theory.monoidal.Mon_ from "leanprover-community/mathlib"@"a836c6dba9bd1ee2a0cdc9af0006a596f243031c" set_option linter.uppercaseLean3 false universe v₁ v₂ u₁ u₂ u open CategoryTheory MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] structure Mon_ where X : C one : 𝟙_ C ⟶ X mul : X ⊗ X ⟶ X one_mul : (one ▷ X) ≫ mul = (λ_ X).hom := by aesop_cat mul_one : (X ◁ one) ≫ mul = (ρ_ X).hom := by aesop_cat -- Obviously there is some flexibility stating this axiom. -- This one has left- and right-hand sides matching the statement of `Monoid.mul_assoc`, -- and chooses to place the associator on the right-hand side. -- The heuristic is that unitors and associators "don't have much weight". mul_assoc : (mul ▷ X) ≫ mul = (α_ X X X).hom ≫ (X ◁ mul) ≫ mul := by aesop_cat #align Mon_ Mon_ attribute [reassoc] Mon_.one_mul Mon_.mul_one attribute [simp] Mon_.one_mul Mon_.mul_one -- We prove a more general `@[simp]` lemma below. attribute [reassoc (attr := simp)] Mon_.mul_assoc namespace Mon_ @[simps] def trivial : Mon_ C where X := 𝟙_ C one := 𝟙 _ mul := (λ_ _).hom mul_assoc := by coherence mul_one := by coherence #align Mon_.trivial Mon_.trivial instance : Inhabited (Mon_ C) := ⟨trivial C⟩ variable {C} variable {M : Mon_ C} @[simp] theorem one_mul_hom {Z : C} (f : Z ⟶ M.X) : (M.one ⊗ f) ≫ M.mul = (λ_ Z).hom ≫ f := by rw [tensorHom_def'_assoc, M.one_mul, leftUnitor_naturality] #align Mon_.one_mul_hom Mon_.one_mul_hom @[simp] theorem mul_one_hom {Z : C} (f : Z ⟶ M.X) : (f ⊗ M.one) ≫ M.mul = (ρ_ Z).hom ≫ f := by rw [tensorHom_def_assoc, M.mul_one, rightUnitor_naturality] #align Mon_.mul_one_hom Mon_.mul_one_hom
Mathlib/CategoryTheory/Monoidal/Mon_.lean
84
85
theorem assoc_flip : (M.X ◁ M.mul) ≫ M.mul = (α_ M.X M.X M.X).inv ≫ (M.mul ▷ M.X) ≫ M.mul := by
simp
1
2.718282
0
0.5
4
503
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.CategoryTheory.Monoidal.Discrete import Mathlib.CategoryTheory.Monoidal.CoherenceLemmas import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.Algebra.PUnitInstances #align_import category_theory.monoidal.Mon_ from "leanprover-community/mathlib"@"a836c6dba9bd1ee2a0cdc9af0006a596f243031c" set_option linter.uppercaseLean3 false universe v₁ v₂ u₁ u₂ u open CategoryTheory MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] structure Mon_ where X : C one : 𝟙_ C ⟶ X mul : X ⊗ X ⟶ X one_mul : (one ▷ X) ≫ mul = (λ_ X).hom := by aesop_cat mul_one : (X ◁ one) ≫ mul = (ρ_ X).hom := by aesop_cat -- Obviously there is some flexibility stating this axiom. -- This one has left- and right-hand sides matching the statement of `Monoid.mul_assoc`, -- and chooses to place the associator on the right-hand side. -- The heuristic is that unitors and associators "don't have much weight". mul_assoc : (mul ▷ X) ≫ mul = (α_ X X X).hom ≫ (X ◁ mul) ≫ mul := by aesop_cat #align Mon_ Mon_ attribute [reassoc] Mon_.one_mul Mon_.mul_one attribute [simp] Mon_.one_mul Mon_.mul_one -- We prove a more general `@[simp]` lemma below. attribute [reassoc (attr := simp)] Mon_.mul_assoc namespace Mon_ open CategoryTheory.LaxMonoidalFunctor namespace Mon_ variable {C} -- The proofs that associators and unitors preserve monoid units don't require braiding.
Mathlib/CategoryTheory/Monoidal/Mon_.lean
372
382
theorem one_associator {M N P : Mon_ C} : ((λ_ (𝟙_ C)).inv ≫ ((λ_ (𝟙_ C)).inv ≫ (M.one ⊗ N.one) ⊗ P.one)) ≫ (α_ M.X N.X P.X).hom = (λ_ (𝟙_ C)).inv ≫ (M.one ⊗ (λ_ (𝟙_ C)).inv ≫ (N.one ⊗ P.one)) := by
simp only [Category.assoc, Iso.cancel_iso_inv_left] slice_lhs 1 3 => rw [← Category.id_comp P.one, tensor_comp] slice_lhs 2 3 => rw [associator_naturality] slice_rhs 1 2 => rw [← Category.id_comp M.one, tensor_comp] slice_lhs 1 2 => rw [tensorHom_id, ← leftUnitor_tensor_inv] rw [← cancel_epi (λ_ (𝟙_ C)).inv] slice_lhs 1 2 => rw [leftUnitor_inv_naturality] simp
8
2,980.957987
2
0.5
4
503
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl
Mathlib/Analysis/Matrix.lean
90
91
theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by
simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr] #align matrix.norm_le_iff Matrix.norm_le_iff
Mathlib/Analysis/Matrix.lean
94
95
theorem nnnorm_le_iff {r : ℝ≥0} {A : Matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r := by
simp_rw [nnnorm_def, pi_nnnorm_le_iff]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr] #align matrix.norm_le_iff Matrix.norm_le_iff theorem nnnorm_le_iff {r : ℝ≥0} {A : Matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r := by simp_rw [nnnorm_def, pi_nnnorm_le_iff] #align matrix.nnnorm_le_iff Matrix.nnnorm_le_iff
Mathlib/Analysis/Matrix.lean
98
99
theorem norm_lt_iff {r : ℝ} (hr : 0 < r) {A : Matrix m n α} : ‖A‖ < r ↔ ∀ i j, ‖A i j‖ < r := by
simp_rw [norm_def, pi_norm_lt_iff hr]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr] #align matrix.norm_le_iff Matrix.norm_le_iff theorem nnnorm_le_iff {r : ℝ≥0} {A : Matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r := by simp_rw [nnnorm_def, pi_nnnorm_le_iff] #align matrix.nnnorm_le_iff Matrix.nnnorm_le_iff theorem norm_lt_iff {r : ℝ} (hr : 0 < r) {A : Matrix m n α} : ‖A‖ < r ↔ ∀ i j, ‖A i j‖ < r := by simp_rw [norm_def, pi_norm_lt_iff hr] #align matrix.norm_lt_iff Matrix.norm_lt_iff
Mathlib/Analysis/Matrix.lean
102
104
theorem nnnorm_lt_iff {r : ℝ≥0} (hr : 0 < r) {A : Matrix m n α} : ‖A‖₊ < r ↔ ∀ i j, ‖A i j‖₊ < r := by
simp_rw [nnnorm_def, pi_nnnorm_lt_iff hr]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr] #align matrix.norm_le_iff Matrix.norm_le_iff theorem nnnorm_le_iff {r : ℝ≥0} {A : Matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r := by simp_rw [nnnorm_def, pi_nnnorm_le_iff] #align matrix.nnnorm_le_iff Matrix.nnnorm_le_iff theorem norm_lt_iff {r : ℝ} (hr : 0 < r) {A : Matrix m n α} : ‖A‖ < r ↔ ∀ i j, ‖A i j‖ < r := by simp_rw [norm_def, pi_norm_lt_iff hr] #align matrix.norm_lt_iff Matrix.norm_lt_iff theorem nnnorm_lt_iff {r : ℝ≥0} (hr : 0 < r) {A : Matrix m n α} : ‖A‖₊ < r ↔ ∀ i j, ‖A i j‖₊ < r := by simp_rw [nnnorm_def, pi_nnnorm_lt_iff hr] #align matrix.nnnorm_lt_iff Matrix.nnnorm_lt_iff theorem norm_entry_le_entrywise_sup_norm (A : Matrix m n α) {i : m} {j : n} : ‖A i j‖ ≤ ‖A‖ := (norm_le_pi_norm (A i) j).trans (norm_le_pi_norm A i) #align matrix.norm_entry_le_entrywise_sup_norm Matrix.norm_entry_le_entrywise_sup_norm theorem nnnorm_entry_le_entrywise_sup_nnnorm (A : Matrix m n α) {i : m} {j : n} : ‖A i j‖₊ ≤ ‖A‖₊ := (nnnorm_le_pi_nnnorm (A i) j).trans (nnnorm_le_pi_nnnorm A i) #align matrix.nnnorm_entry_le_entrywise_sup_nnnorm Matrix.nnnorm_entry_le_entrywise_sup_nnnorm @[simp]
Mathlib/Analysis/Matrix.lean
116
118
theorem nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊ := by
simp only [nnnorm_def, Pi.nnnorm_def, Matrix.map_apply, hf]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr] #align matrix.norm_le_iff Matrix.norm_le_iff theorem nnnorm_le_iff {r : ℝ≥0} {A : Matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r := by simp_rw [nnnorm_def, pi_nnnorm_le_iff] #align matrix.nnnorm_le_iff Matrix.nnnorm_le_iff theorem norm_lt_iff {r : ℝ} (hr : 0 < r) {A : Matrix m n α} : ‖A‖ < r ↔ ∀ i j, ‖A i j‖ < r := by simp_rw [norm_def, pi_norm_lt_iff hr] #align matrix.norm_lt_iff Matrix.norm_lt_iff theorem nnnorm_lt_iff {r : ℝ≥0} (hr : 0 < r) {A : Matrix m n α} : ‖A‖₊ < r ↔ ∀ i j, ‖A i j‖₊ < r := by simp_rw [nnnorm_def, pi_nnnorm_lt_iff hr] #align matrix.nnnorm_lt_iff Matrix.nnnorm_lt_iff theorem norm_entry_le_entrywise_sup_norm (A : Matrix m n α) {i : m} {j : n} : ‖A i j‖ ≤ ‖A‖ := (norm_le_pi_norm (A i) j).trans (norm_le_pi_norm A i) #align matrix.norm_entry_le_entrywise_sup_norm Matrix.norm_entry_le_entrywise_sup_norm theorem nnnorm_entry_le_entrywise_sup_nnnorm (A : Matrix m n α) {i : m} {j : n} : ‖A i j‖₊ ≤ ‖A‖₊ := (nnnorm_le_pi_nnnorm (A i) j).trans (nnnorm_le_pi_nnnorm A i) #align matrix.nnnorm_entry_le_entrywise_sup_nnnorm Matrix.nnnorm_entry_le_entrywise_sup_nnnorm @[simp] theorem nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊ := by simp only [nnnorm_def, Pi.nnnorm_def, Matrix.map_apply, hf] #align matrix.nnnorm_map_eq Matrix.nnnorm_map_eq @[simp] theorem norm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) : ‖A.map f‖ = ‖A‖ := (congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_map_eq A f fun a => Subtype.ext <| hf a : _) #align matrix.norm_map_eq Matrix.norm_map_eq @[simp] theorem nnnorm_transpose (A : Matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊ := Finset.sup_comm _ _ _ #align matrix.nnnorm_transpose Matrix.nnnorm_transpose @[simp] theorem norm_transpose (A : Matrix m n α) : ‖Aᵀ‖ = ‖A‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_transpose A #align matrix.norm_transpose Matrix.norm_transpose @[simp] theorem nnnorm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) : ‖Aᴴ‖₊ = ‖A‖₊ := (nnnorm_map_eq _ _ nnnorm_star).trans A.nnnorm_transpose #align matrix.nnnorm_conj_transpose Matrix.nnnorm_conjTranspose @[simp] theorem norm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) : ‖Aᴴ‖ = ‖A‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_conjTranspose A #align matrix.norm_conj_transpose Matrix.norm_conjTranspose instance [StarAddMonoid α] [NormedStarGroup α] : NormedStarGroup (Matrix m m α) := ⟨norm_conjTranspose⟩ @[simp]
Mathlib/Analysis/Matrix.lean
151
152
theorem nnnorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊ := by
simp [nnnorm_def, Pi.nnnorm_def]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] protected def seminormedAddCommGroup : SeminormedAddCommGroup (Matrix m n α) := Pi.seminormedAddCommGroup #align matrix.seminormed_add_comm_group Matrix.seminormedAddCommGroup attribute [local instance] Matrix.seminormedAddCommGroup -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem norm_def (A : Matrix m n α) : ‖A‖ = ‖fun i j => A i j‖ := rfl lemma norm_eq_sup_sup_nnnorm (A : Matrix m n α) : ‖A‖ = Finset.sup Finset.univ fun i ↦ Finset.sup Finset.univ fun j ↦ ‖A i j‖₊ := by simp_rw [Matrix.norm_def, Pi.norm_def, Pi.nnnorm_def] -- Porting note (#10756): new theorem (along with all the uses of this lemma below) theorem nnnorm_def (A : Matrix m n α) : ‖A‖₊ = ‖fun i j => A i j‖₊ := rfl theorem norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : Matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r := by simp_rw [norm_def, pi_norm_le_iff_of_nonneg hr] #align matrix.norm_le_iff Matrix.norm_le_iff theorem nnnorm_le_iff {r : ℝ≥0} {A : Matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r := by simp_rw [nnnorm_def, pi_nnnorm_le_iff] #align matrix.nnnorm_le_iff Matrix.nnnorm_le_iff theorem norm_lt_iff {r : ℝ} (hr : 0 < r) {A : Matrix m n α} : ‖A‖ < r ↔ ∀ i j, ‖A i j‖ < r := by simp_rw [norm_def, pi_norm_lt_iff hr] #align matrix.norm_lt_iff Matrix.norm_lt_iff theorem nnnorm_lt_iff {r : ℝ≥0} (hr : 0 < r) {A : Matrix m n α} : ‖A‖₊ < r ↔ ∀ i j, ‖A i j‖₊ < r := by simp_rw [nnnorm_def, pi_nnnorm_lt_iff hr] #align matrix.nnnorm_lt_iff Matrix.nnnorm_lt_iff theorem norm_entry_le_entrywise_sup_norm (A : Matrix m n α) {i : m} {j : n} : ‖A i j‖ ≤ ‖A‖ := (norm_le_pi_norm (A i) j).trans (norm_le_pi_norm A i) #align matrix.norm_entry_le_entrywise_sup_norm Matrix.norm_entry_le_entrywise_sup_norm theorem nnnorm_entry_le_entrywise_sup_nnnorm (A : Matrix m n α) {i : m} {j : n} : ‖A i j‖₊ ≤ ‖A‖₊ := (nnnorm_le_pi_nnnorm (A i) j).trans (nnnorm_le_pi_nnnorm A i) #align matrix.nnnorm_entry_le_entrywise_sup_nnnorm Matrix.nnnorm_entry_le_entrywise_sup_nnnorm @[simp] theorem nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊ := by simp only [nnnorm_def, Pi.nnnorm_def, Matrix.map_apply, hf] #align matrix.nnnorm_map_eq Matrix.nnnorm_map_eq @[simp] theorem norm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) : ‖A.map f‖ = ‖A‖ := (congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_map_eq A f fun a => Subtype.ext <| hf a : _) #align matrix.norm_map_eq Matrix.norm_map_eq @[simp] theorem nnnorm_transpose (A : Matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊ := Finset.sup_comm _ _ _ #align matrix.nnnorm_transpose Matrix.nnnorm_transpose @[simp] theorem norm_transpose (A : Matrix m n α) : ‖Aᵀ‖ = ‖A‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_transpose A #align matrix.norm_transpose Matrix.norm_transpose @[simp] theorem nnnorm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) : ‖Aᴴ‖₊ = ‖A‖₊ := (nnnorm_map_eq _ _ nnnorm_star).trans A.nnnorm_transpose #align matrix.nnnorm_conj_transpose Matrix.nnnorm_conjTranspose @[simp] theorem norm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) : ‖Aᴴ‖ = ‖A‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_conjTranspose A #align matrix.norm_conj_transpose Matrix.norm_conjTranspose instance [StarAddMonoid α] [NormedStarGroup α] : NormedStarGroup (Matrix m m α) := ⟨norm_conjTranspose⟩ @[simp] theorem nnnorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊ := by simp [nnnorm_def, Pi.nnnorm_def] #align matrix.nnnorm_col Matrix.nnnorm_col @[simp] theorem norm_col (v : m → α) : ‖col v‖ = ‖v‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| nnnorm_col v #align matrix.norm_col Matrix.norm_col @[simp]
Mathlib/Analysis/Matrix.lean
161
162
theorem nnnorm_row (v : n → α) : ‖row v‖₊ = ‖v‖₊ := by
simp [nnnorm_def, Pi.nnnorm_def]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section LinftyOp @[local instance] protected def linftyOpSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := (by infer_instance : SeminormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_seminormed_add_comm_group Matrix.linftyOpSeminormedAddCommGroup @[local instance] protected def linftyOpNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_add_comm_group Matrix.linftyOpNormedAddCommGroup @[local instance] protected theorem linftyOpBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (m → PiLp 1 fun j : n => α)) @[local instance] protected def linftyOpNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_space Matrix.linftyOpNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α]
Mathlib/Analysis/Matrix.lean
273
277
theorem linfty_opNorm_def (A : Matrix m n α) : ‖A‖ = ((Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ : ℝ≥0) := by
-- Porting note: added change ‖fun i => (WithLp.equiv 1 _).symm (A i)‖ = _ simp [Pi.norm_def, PiLp.nnnorm_eq_sum ENNReal.one_ne_top]
3
20.085537
1
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section LinftyOp @[local instance] protected def linftyOpSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := (by infer_instance : SeminormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_seminormed_add_comm_group Matrix.linftyOpSeminormedAddCommGroup @[local instance] protected def linftyOpNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_add_comm_group Matrix.linftyOpNormedAddCommGroup @[local instance] protected theorem linftyOpBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (m → PiLp 1 fun j : n => α)) @[local instance] protected def linftyOpNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_space Matrix.linftyOpNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] theorem linfty_opNorm_def (A : Matrix m n α) : ‖A‖ = ((Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ : ℝ≥0) := by -- Porting note: added change ‖fun i => (WithLp.equiv 1 _).symm (A i)‖ = _ simp [Pi.norm_def, PiLp.nnnorm_eq_sum ENNReal.one_ne_top] #align matrix.linfty_op_norm_def Matrix.linfty_opNorm_def @[deprecated (since := "2024-02-02")] alias linfty_op_norm_def := linfty_opNorm_def theorem linfty_opNNNorm_def (A : Matrix m n α) : ‖A‖₊ = (Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ := Subtype.ext <| linfty_opNorm_def A #align matrix.linfty_op_nnnorm_def Matrix.linfty_opNNNorm_def @[deprecated (since := "2024-02-02")] alias linfty_op_nnnorm_def := linfty_opNNNorm_def @[simp, nolint simpNF] -- Porting note: linter times out
Mathlib/Analysis/Matrix.lean
290
292
theorem linfty_opNNNorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊ := by
rw [linfty_opNNNorm_def, Pi.nnnorm_def] simp
2
7.389056
1
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section LinftyOp @[local instance] protected def linftyOpSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := (by infer_instance : SeminormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_seminormed_add_comm_group Matrix.linftyOpSeminormedAddCommGroup @[local instance] protected def linftyOpNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_add_comm_group Matrix.linftyOpNormedAddCommGroup @[local instance] protected theorem linftyOpBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (m → PiLp 1 fun j : n => α)) @[local instance] protected def linftyOpNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_space Matrix.linftyOpNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] theorem linfty_opNorm_def (A : Matrix m n α) : ‖A‖ = ((Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ : ℝ≥0) := by -- Porting note: added change ‖fun i => (WithLp.equiv 1 _).symm (A i)‖ = _ simp [Pi.norm_def, PiLp.nnnorm_eq_sum ENNReal.one_ne_top] #align matrix.linfty_op_norm_def Matrix.linfty_opNorm_def @[deprecated (since := "2024-02-02")] alias linfty_op_norm_def := linfty_opNorm_def theorem linfty_opNNNorm_def (A : Matrix m n α) : ‖A‖₊ = (Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ := Subtype.ext <| linfty_opNorm_def A #align matrix.linfty_op_nnnorm_def Matrix.linfty_opNNNorm_def @[deprecated (since := "2024-02-02")] alias linfty_op_nnnorm_def := linfty_opNNNorm_def @[simp, nolint simpNF] -- Porting note: linter times out theorem linfty_opNNNorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊ := by rw [linfty_opNNNorm_def, Pi.nnnorm_def] simp #align matrix.linfty_op_nnnorm_col Matrix.linfty_opNNNorm_col @[deprecated (since := "2024-02-02")] alias linfty_op_nnnorm_col := linfty_opNNNorm_col @[simp] theorem linfty_opNorm_col (v : m → α) : ‖col v‖ = ‖v‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| linfty_opNNNorm_col v #align matrix.linfty_op_norm_col Matrix.linfty_opNorm_col @[deprecated (since := "2024-02-02")] alias linfty_op_norm_col := linfty_opNorm_col @[simp]
Mathlib/Analysis/Matrix.lean
305
305
theorem linfty_opNNNorm_row (v : n → α) : ‖row v‖₊ = ∑ i, ‖v i‖₊ := by
simp [linfty_opNNNorm_def]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section LinftyOp @[local instance] protected def linftyOpSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := (by infer_instance : SeminormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_seminormed_add_comm_group Matrix.linftyOpSeminormedAddCommGroup @[local instance] protected def linftyOpNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_add_comm_group Matrix.linftyOpNormedAddCommGroup @[local instance] protected theorem linftyOpBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (m → PiLp 1 fun j : n => α)) @[local instance] protected def linftyOpNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (m → PiLp 1 fun j : n => α)) #align matrix.linfty_op_normed_space Matrix.linftyOpNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] theorem linfty_opNorm_def (A : Matrix m n α) : ‖A‖ = ((Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ : ℝ≥0) := by -- Porting note: added change ‖fun i => (WithLp.equiv 1 _).symm (A i)‖ = _ simp [Pi.norm_def, PiLp.nnnorm_eq_sum ENNReal.one_ne_top] #align matrix.linfty_op_norm_def Matrix.linfty_opNorm_def @[deprecated (since := "2024-02-02")] alias linfty_op_norm_def := linfty_opNorm_def theorem linfty_opNNNorm_def (A : Matrix m n α) : ‖A‖₊ = (Finset.univ : Finset m).sup fun i : m => ∑ j : n, ‖A i j‖₊ := Subtype.ext <| linfty_opNorm_def A #align matrix.linfty_op_nnnorm_def Matrix.linfty_opNNNorm_def @[deprecated (since := "2024-02-02")] alias linfty_op_nnnorm_def := linfty_opNNNorm_def @[simp, nolint simpNF] -- Porting note: linter times out theorem linfty_opNNNorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊ := by rw [linfty_opNNNorm_def, Pi.nnnorm_def] simp #align matrix.linfty_op_nnnorm_col Matrix.linfty_opNNNorm_col @[deprecated (since := "2024-02-02")] alias linfty_op_nnnorm_col := linfty_opNNNorm_col @[simp] theorem linfty_opNorm_col (v : m → α) : ‖col v‖ = ‖v‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| linfty_opNNNorm_col v #align matrix.linfty_op_norm_col Matrix.linfty_opNorm_col @[deprecated (since := "2024-02-02")] alias linfty_op_norm_col := linfty_opNorm_col @[simp] theorem linfty_opNNNorm_row (v : n → α) : ‖row v‖₊ = ∑ i, ‖v i‖₊ := by simp [linfty_opNNNorm_def] #align matrix.linfty_op_nnnorm_row Matrix.linfty_opNNNorm_row @[deprecated (since := "2024-02-02")] alias linfty_op_nnnorm_row := linfty_opNNNorm_row @[simp] theorem linfty_opNorm_row (v : n → α) : ‖row v‖ = ∑ i, ‖v i‖ := (congr_arg ((↑) : ℝ≥0 → ℝ) <| linfty_opNNNorm_row v).trans <| by simp [NNReal.coe_sum] #align matrix.linfty_op_norm_row Matrix.linfty_opNorm_row @[deprecated (since := "2024-02-02")] alias linfty_op_norm_row := linfty_opNorm_row @[simp]
Mathlib/Analysis/Matrix.lean
318
323
theorem linfty_opNNNorm_diagonal [DecidableEq m] (v : m → α) : ‖diagonal v‖₊ = ‖v‖₊ := by
rw [linfty_opNNNorm_def, Pi.nnnorm_def] congr 1 with i : 1 refine (Finset.sum_eq_single_of_mem _ (Finset.mem_univ i) fun j _hj hij => ?_).trans ?_ · rw [diagonal_apply_ne' _ hij, nnnorm_zero] · rw [diagonal_apply_eq]
5
148.413159
2
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section frobenius open scoped Matrix @[local instance] def frobeniusSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := inferInstanceAs (SeminormedAddCommGroup (PiLp 2 fun _i : m => PiLp 2 fun _j : n => α)) #align matrix.frobenius_seminormed_add_comm_group Matrix.frobeniusSeminormedAddCommGroup @[local instance] def frobeniusNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_add_comm_group Matrix.frobeniusNormedAddCommGroup @[local instance] theorem frobeniusBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) @[local instance] def frobeniusNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_space Matrix.frobeniusNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β]
Mathlib/Analysis/Matrix.lean
560
565
theorem frobenius_nnnorm_def (A : Matrix m n α) : ‖A‖₊ = (∑ i, ∑ j, ‖A i j‖₊ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := by
-- Porting note: added, along with `WithLp.equiv_symm_pi_apply` below change ‖(WithLp.equiv 2 _).symm fun i => (WithLp.equiv 2 _).symm fun j => A i j‖₊ = _ simp_rw [PiLp.nnnorm_eq_of_L2, NNReal.sq_sqrt, NNReal.sqrt_eq_rpow, NNReal.rpow_two, WithLp.equiv_symm_pi_apply]
4
54.59815
2
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section frobenius open scoped Matrix @[local instance] def frobeniusSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := inferInstanceAs (SeminormedAddCommGroup (PiLp 2 fun _i : m => PiLp 2 fun _j : n => α)) #align matrix.frobenius_seminormed_add_comm_group Matrix.frobeniusSeminormedAddCommGroup @[local instance] def frobeniusNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_add_comm_group Matrix.frobeniusNormedAddCommGroup @[local instance] theorem frobeniusBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) @[local instance] def frobeniusNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_space Matrix.frobeniusNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] theorem frobenius_nnnorm_def (A : Matrix m n α) : ‖A‖₊ = (∑ i, ∑ j, ‖A i j‖₊ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := by -- Porting note: added, along with `WithLp.equiv_symm_pi_apply` below change ‖(WithLp.equiv 2 _).symm fun i => (WithLp.equiv 2 _).symm fun j => A i j‖₊ = _ simp_rw [PiLp.nnnorm_eq_of_L2, NNReal.sq_sqrt, NNReal.sqrt_eq_rpow, NNReal.rpow_two, WithLp.equiv_symm_pi_apply] #align matrix.frobenius_nnnorm_def Matrix.frobenius_nnnorm_def theorem frobenius_norm_def (A : Matrix m n α) : ‖A‖ = (∑ i, ∑ j, ‖A i j‖ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := (congr_arg ((↑) : ℝ≥0 → ℝ) (frobenius_nnnorm_def A)).trans <| by simp [NNReal.coe_sum] #align matrix.frobenius_norm_def Matrix.frobenius_norm_def @[simp]
Mathlib/Analysis/Matrix.lean
574
575
theorem frobenius_nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊ := by
simp_rw [frobenius_nnnorm_def, Matrix.map_apply, hf]
1
2.718282
0
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section frobenius open scoped Matrix @[local instance] def frobeniusSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := inferInstanceAs (SeminormedAddCommGroup (PiLp 2 fun _i : m => PiLp 2 fun _j : n => α)) #align matrix.frobenius_seminormed_add_comm_group Matrix.frobeniusSeminormedAddCommGroup @[local instance] def frobeniusNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_add_comm_group Matrix.frobeniusNormedAddCommGroup @[local instance] theorem frobeniusBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) @[local instance] def frobeniusNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_space Matrix.frobeniusNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] theorem frobenius_nnnorm_def (A : Matrix m n α) : ‖A‖₊ = (∑ i, ∑ j, ‖A i j‖₊ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := by -- Porting note: added, along with `WithLp.equiv_symm_pi_apply` below change ‖(WithLp.equiv 2 _).symm fun i => (WithLp.equiv 2 _).symm fun j => A i j‖₊ = _ simp_rw [PiLp.nnnorm_eq_of_L2, NNReal.sq_sqrt, NNReal.sqrt_eq_rpow, NNReal.rpow_two, WithLp.equiv_symm_pi_apply] #align matrix.frobenius_nnnorm_def Matrix.frobenius_nnnorm_def theorem frobenius_norm_def (A : Matrix m n α) : ‖A‖ = (∑ i, ∑ j, ‖A i j‖ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := (congr_arg ((↑) : ℝ≥0 → ℝ) (frobenius_nnnorm_def A)).trans <| by simp [NNReal.coe_sum] #align matrix.frobenius_norm_def Matrix.frobenius_norm_def @[simp] theorem frobenius_nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊ := by simp_rw [frobenius_nnnorm_def, Matrix.map_apply, hf] #align matrix.frobenius_nnnorm_map_eq Matrix.frobenius_nnnorm_map_eq @[simp] theorem frobenius_norm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) : ‖A.map f‖ = ‖A‖ := (congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_map_eq A f fun a => Subtype.ext <| hf a : _) #align matrix.frobenius_norm_map_eq Matrix.frobenius_norm_map_eq @[simp]
Mathlib/Analysis/Matrix.lean
585
587
theorem frobenius_nnnorm_transpose (A : Matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊ := by
rw [frobenius_nnnorm_def, frobenius_nnnorm_def, Finset.sum_comm] simp_rw [Matrix.transpose_apply] -- Porting note: added
2
7.389056
1
0.533333
15
509
import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped NNReal Matrix namespace Matrix variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n] section LinfLinf protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := Pi.normedAddCommGroup #align matrix.normed_add_comm_group Matrix.normedAddCommGroup section frobenius open scoped Matrix @[local instance] def frobeniusSeminormedAddCommGroup [SeminormedAddCommGroup α] : SeminormedAddCommGroup (Matrix m n α) := inferInstanceAs (SeminormedAddCommGroup (PiLp 2 fun _i : m => PiLp 2 fun _j : n => α)) #align matrix.frobenius_seminormed_add_comm_group Matrix.frobeniusSeminormedAddCommGroup @[local instance] def frobeniusNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) := (by infer_instance : NormedAddCommGroup (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_add_comm_group Matrix.frobeniusNormedAddCommGroup @[local instance] theorem frobeniusBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α] [BoundedSMul R α] : BoundedSMul R (Matrix m n α) := (by infer_instance : BoundedSMul R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) @[local instance] def frobeniusNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] : NormedSpace R (Matrix m n α) := (by infer_instance : NormedSpace R (PiLp 2 fun i : m => PiLp 2 fun j : n => α)) #align matrix.frobenius_normed_space Matrix.frobeniusNormedSpace section SeminormedAddCommGroup variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β] theorem frobenius_nnnorm_def (A : Matrix m n α) : ‖A‖₊ = (∑ i, ∑ j, ‖A i j‖₊ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := by -- Porting note: added, along with `WithLp.equiv_symm_pi_apply` below change ‖(WithLp.equiv 2 _).symm fun i => (WithLp.equiv 2 _).symm fun j => A i j‖₊ = _ simp_rw [PiLp.nnnorm_eq_of_L2, NNReal.sq_sqrt, NNReal.sqrt_eq_rpow, NNReal.rpow_two, WithLp.equiv_symm_pi_apply] #align matrix.frobenius_nnnorm_def Matrix.frobenius_nnnorm_def theorem frobenius_norm_def (A : Matrix m n α) : ‖A‖ = (∑ i, ∑ j, ‖A i j‖ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := (congr_arg ((↑) : ℝ≥0 → ℝ) (frobenius_nnnorm_def A)).trans <| by simp [NNReal.coe_sum] #align matrix.frobenius_norm_def Matrix.frobenius_norm_def @[simp] theorem frobenius_nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊ := by simp_rw [frobenius_nnnorm_def, Matrix.map_apply, hf] #align matrix.frobenius_nnnorm_map_eq Matrix.frobenius_nnnorm_map_eq @[simp] theorem frobenius_norm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) : ‖A.map f‖ = ‖A‖ := (congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_map_eq A f fun a => Subtype.ext <| hf a : _) #align matrix.frobenius_norm_map_eq Matrix.frobenius_norm_map_eq @[simp] theorem frobenius_nnnorm_transpose (A : Matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊ := by rw [frobenius_nnnorm_def, frobenius_nnnorm_def, Finset.sum_comm] simp_rw [Matrix.transpose_apply] -- Porting note: added #align matrix.frobenius_nnnorm_transpose Matrix.frobenius_nnnorm_transpose @[simp] theorem frobenius_norm_transpose (A : Matrix m n α) : ‖Aᵀ‖ = ‖A‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_transpose A #align matrix.frobenius_norm_transpose Matrix.frobenius_norm_transpose @[simp] theorem frobenius_nnnorm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) : ‖Aᴴ‖₊ = ‖A‖₊ := (frobenius_nnnorm_map_eq _ _ nnnorm_star).trans A.frobenius_nnnorm_transpose #align matrix.frobenius_nnnorm_conj_transpose Matrix.frobenius_nnnorm_conjTranspose @[simp] theorem frobenius_norm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) : ‖Aᴴ‖ = ‖A‖ := congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_conjTranspose A #align matrix.frobenius_norm_conj_transpose Matrix.frobenius_norm_conjTranspose instance frobenius_normedStarGroup [StarAddMonoid α] [NormedStarGroup α] : NormedStarGroup (Matrix m m α) := ⟨frobenius_norm_conjTranspose⟩ #align matrix.frobenius_normed_star_group Matrix.frobenius_normedStarGroup @[simp]
Mathlib/Analysis/Matrix.lean
613
615
theorem frobenius_norm_row (v : m → α) : ‖row v‖ = ‖(WithLp.equiv 2 _).symm v‖ := by
rw [frobenius_norm_def, Fintype.sum_unique, PiLp.norm_eq_of_L2, Real.sqrt_eq_rpow] simp only [row_apply, Real.rpow_two, WithLp.equiv_symm_pi_apply]
2
7.389056
1
0.533333
15
509
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
115
118
theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by
refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _
3
20.085537
1
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
121
124
theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by
refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _
3
20.085537
1
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _ #align is_bounded_linear_map.snd IsBoundedLinearMap.snd variable {f g : E → F} theorem smul (c : 𝕜) (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 (c • f) := let ⟨hlf, M, _, hM⟩ := hf (c • hlf.mk' f).isLinear.with_bound (‖c‖ * M) fun x => calc ‖c • f x‖ = ‖c‖ * ‖f x‖ := norm_smul c (f x) _ ≤ ‖c‖ * (M * ‖x‖) := mul_le_mul_of_nonneg_left (hM _) (norm_nonneg _) _ = ‖c‖ * M * ‖x‖ := (mul_assoc _ _ _).symm #align is_bounded_linear_map.smul IsBoundedLinearMap.smul
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
139
141
theorem neg (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 fun e => -f e := by
rw [show (fun e => -f e) = fun e => (-1 : 𝕜) • f e by funext; simp] exact smul (-1) hf
2
7.389056
1
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _ #align is_bounded_linear_map.snd IsBoundedLinearMap.snd variable {f g : E → F} theorem smul (c : 𝕜) (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 (c • f) := let ⟨hlf, M, _, hM⟩ := hf (c • hlf.mk' f).isLinear.with_bound (‖c‖ * M) fun x => calc ‖c • f x‖ = ‖c‖ * ‖f x‖ := norm_smul c (f x) _ ≤ ‖c‖ * (M * ‖x‖) := mul_le_mul_of_nonneg_left (hM _) (norm_nonneg _) _ = ‖c‖ * M * ‖x‖ := (mul_assoc _ _ _).symm #align is_bounded_linear_map.smul IsBoundedLinearMap.smul theorem neg (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 fun e => -f e := by rw [show (fun e => -f e) = fun e => (-1 : 𝕜) • f e by funext; simp] exact smul (-1) hf #align is_bounded_linear_map.neg IsBoundedLinearMap.neg
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
144
151
theorem add (hf : IsBoundedLinearMap 𝕜 f) (hg : IsBoundedLinearMap 𝕜 g) : IsBoundedLinearMap 𝕜 fun e => f e + g e := let ⟨hlf, Mf, _, hMf⟩ := hf let ⟨hlg, Mg, _, hMg⟩ := hg (hlf.mk' _ + hlg.mk' _).isLinear.with_bound (Mf + Mg) fun x => calc ‖f x + g x‖ ≤ Mf * ‖x‖ + Mg * ‖x‖ := norm_add_le_of_le (hMf x) (hMg x) _ ≤ (Mf + Mg) * ‖x‖ := by
rw [add_mul]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap namespace IsBoundedLinearMap def toLinearMap (f : E → F) (h : IsBoundedLinearMap 𝕜 f) : E →ₗ[𝕜] F := IsLinearMap.mk' _ h.toIsLinearMap #align is_bounded_linear_map.to_linear_map IsBoundedLinearMap.toLinearMap def toContinuousLinearMap {f : E → F} (hf : IsBoundedLinearMap 𝕜 f) : E →L[𝕜] F := { toLinearMap f hf with cont := let ⟨C, _, hC⟩ := hf.bound AddMonoidHomClass.continuous_of_bound (toLinearMap f hf) C hC } #align is_bounded_linear_map.to_continuous_linear_map IsBoundedLinearMap.toContinuousLinearMap theorem zero : IsBoundedLinearMap 𝕜 fun _ : E => (0 : F) := (0 : E →ₗ[𝕜] F).isLinear.with_bound 0 <| by simp [le_refl] #align is_bounded_linear_map.zero IsBoundedLinearMap.zero theorem id : IsBoundedLinearMap 𝕜 fun x : E => x := LinearMap.id.isLinear.with_bound 1 <| by simp [le_refl] #align is_bounded_linear_map.id IsBoundedLinearMap.id theorem fst : IsBoundedLinearMap 𝕜 fun x : E × F => x.1 := by refine (LinearMap.fst 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_left _ _ #align is_bounded_linear_map.fst IsBoundedLinearMap.fst theorem snd : IsBoundedLinearMap 𝕜 fun x : E × F => x.2 := by refine (LinearMap.snd 𝕜 E F).isLinear.with_bound 1 fun x => ?_ rw [one_mul] exact le_max_right _ _ #align is_bounded_linear_map.snd IsBoundedLinearMap.snd variable {f g : E → F} theorem smul (c : 𝕜) (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 (c • f) := let ⟨hlf, M, _, hM⟩ := hf (c • hlf.mk' f).isLinear.with_bound (‖c‖ * M) fun x => calc ‖c • f x‖ = ‖c‖ * ‖f x‖ := norm_smul c (f x) _ ≤ ‖c‖ * (M * ‖x‖) := mul_le_mul_of_nonneg_left (hM _) (norm_nonneg _) _ = ‖c‖ * M * ‖x‖ := (mul_assoc _ _ _).symm #align is_bounded_linear_map.smul IsBoundedLinearMap.smul theorem neg (hf : IsBoundedLinearMap 𝕜 f) : IsBoundedLinearMap 𝕜 fun e => -f e := by rw [show (fun e => -f e) = fun e => (-1 : 𝕜) • f e by funext; simp] exact smul (-1) hf #align is_bounded_linear_map.neg IsBoundedLinearMap.neg theorem add (hf : IsBoundedLinearMap 𝕜 f) (hg : IsBoundedLinearMap 𝕜 g) : IsBoundedLinearMap 𝕜 fun e => f e + g e := let ⟨hlf, Mf, _, hMf⟩ := hf let ⟨hlg, Mg, _, hMg⟩ := hg (hlf.mk' _ + hlg.mk' _).isLinear.with_bound (Mf + Mg) fun x => calc ‖f x + g x‖ ≤ Mf * ‖x‖ + Mg * ‖x‖ := norm_add_le_of_le (hMf x) (hMg x) _ ≤ (Mf + Mg) * ‖x‖ := by rw [add_mul] #align is_bounded_linear_map.add IsBoundedLinearMap.add
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
155
156
theorem sub (hf : IsBoundedLinearMap 𝕜 f) (hg : IsBoundedLinearMap 𝕜 g) : IsBoundedLinearMap 𝕜 fun e => f e - g e := by
simpa [sub_eq_add_neg] using add hf (neg hg)
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι]
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
217
231
theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by
ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity)
11
59,874.141715
2
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
236
254
theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by
refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring
16
8,886,110.520508
2
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring #align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear end section BilinearMap namespace ContinuousLinearMap variable {R : Type*} variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂] variable {M : Type*} [TopologicalSpace M] variable {σ₁₂ : 𝕜 →+* 𝕜₂} variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G'] variable [SMulCommClass 𝕜₂ 𝕜' G'] section Semiring variable [Semiring R] [AddCommMonoid M] [Module R M] {ρ₁₂ : R →+* 𝕜'}
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
285
286
theorem map_add₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (x x' : M) (y : F) : f (x + x') y = f x y + f x' y := by
rw [f.map_add, add_apply]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring #align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear end section BilinearMap namespace ContinuousLinearMap variable {R : Type*} variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂] variable {M : Type*} [TopologicalSpace M] variable {σ₁₂ : 𝕜 →+* 𝕜₂} variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G'] variable [SMulCommClass 𝕜₂ 𝕜' G'] section Semiring variable [Semiring R] [AddCommMonoid M] [Module R M] {ρ₁₂ : R →+* 𝕜'} theorem map_add₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (x x' : M) (y : F) : f (x + x') y = f x y + f x' y := by rw [f.map_add, add_apply] #align continuous_linear_map.map_add₂ ContinuousLinearMap.map_add₂
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
289
290
theorem map_zero₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (y : F) : f 0 y = 0 := by
rw [f.map_zero, zero_apply]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring #align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear end section BilinearMap namespace ContinuousLinearMap variable {R : Type*} variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂] variable {M : Type*} [TopologicalSpace M] variable {σ₁₂ : 𝕜 →+* 𝕜₂} variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G'] variable [SMulCommClass 𝕜₂ 𝕜' G'] section Semiring variable [Semiring R] [AddCommMonoid M] [Module R M] {ρ₁₂ : R →+* 𝕜'} theorem map_add₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (x x' : M) (y : F) : f (x + x') y = f x y + f x' y := by rw [f.map_add, add_apply] #align continuous_linear_map.map_add₂ ContinuousLinearMap.map_add₂ theorem map_zero₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (y : F) : f 0 y = 0 := by rw [f.map_zero, zero_apply] #align continuous_linear_map.map_zero₂ ContinuousLinearMap.map_zero₂
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
293
294
theorem map_smulₛₗ₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (c : R) (x : M) (y : F) : f (c • x) y = ρ₁₂ c • f x y := by
rw [f.map_smulₛₗ, smul_apply]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring #align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear end section BilinearMap namespace ContinuousLinearMap variable {R : Type*} variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂] variable {M : Type*} [TopologicalSpace M] variable {σ₁₂ : 𝕜 →+* 𝕜₂} variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G'] variable [SMulCommClass 𝕜₂ 𝕜' G'] section Ring variable [Ring R] [AddCommGroup M] [Module R M] {ρ₁₂ : R →+* 𝕜'}
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
303
304
theorem map_sub₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (x x' : M) (y : F) : f (x - x') y = f x y - f x' y := by
rw [f.map_sub, sub_apply]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring #align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear end section BilinearMap namespace ContinuousLinearMap variable {R : Type*} variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂] variable {M : Type*} [TopologicalSpace M] variable {σ₁₂ : 𝕜 →+* 𝕜₂} variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G'] variable [SMulCommClass 𝕜₂ 𝕜' G'] section Ring variable [Ring R] [AddCommGroup M] [Module R M] {ρ₁₂ : R →+* 𝕜'} theorem map_sub₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (x x' : M) (y : F) : f (x - x') y = f x y - f x' y := by rw [f.map_sub, sub_apply] #align continuous_linear_map.map_sub₂ ContinuousLinearMap.map_sub₂
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
307
308
theorem map_neg₂ (f : M →SL[ρ₁₂] F →SL[σ₁₂] G') (x : M) (y : F) : f (-x) y = -f x y := by
rw [f.map_neg, neg_apply]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring #align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear end section BilinearMap namespace ContinuousLinearMap variable {R : Type*} variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂] variable {M : Type*} [TopologicalSpace M] variable {σ₁₂ : 𝕜 →+* 𝕜₂} variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G'] variable [SMulCommClass 𝕜₂ 𝕜' G']
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
313
314
theorem map_smul₂ (f : E →L[𝕜] F →L[𝕜] G) (c : 𝕜) (x : E) (y : F) : f (c • x) y = c • f x y := by
rw [f.map_smul, smul_apply]
1
2.718282
0
0.538462
13
510
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl
Mathlib/Analysis/Calculus/Gradient/Basic.lean
90
92
theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by
rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet]
1
2.718282
0
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl
Mathlib/Analysis/Calculus/Gradient/Basic.lean
98
100
theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by
rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet]
1
2.718282
0
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt
Mathlib/Analysis/Calculus/Gradient/Basic.lean
110
111
theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by
rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero]
1
2.718282
0
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt)
Mathlib/Analysis/Calculus/Gradient/Basic.lean
118
121
theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by
rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt
2
7.389056
1
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt
Mathlib/Analysis/Calculus/Gradient/Basic.lean
127
131
theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by
rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt
3
20.085537
1
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp]
Mathlib/Analysis/Calculus/Gradient/Basic.lean
138
140
theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by
rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ
2
7.389056
1
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient section OneDimension variable {g : 𝕜 → 𝕜} {g' u : 𝕜} {L' : Filter 𝕜}
Mathlib/Analysis/Calculus/Gradient/Basic.lean
156
160
theorem HasGradientAtFilter.hasDerivAtFilter (h : HasGradientAtFilter g g' u L') : HasDerivAtFilter g (starRingEnd 𝕜 g') u L' := by
have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) (starRingEnd 𝕜 g') = (toDual 𝕜 𝕜) g' := by ext; simp rwa [HasDerivAtFilter, this]
3
20.085537
1
0.538462
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511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient section OneDimension variable {g : 𝕜 → 𝕜} {g' u : 𝕜} {L' : Filter 𝕜} theorem HasGradientAtFilter.hasDerivAtFilter (h : HasGradientAtFilter g g' u L') : HasDerivAtFilter g (starRingEnd 𝕜 g') u L' := by have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) (starRingEnd 𝕜 g') = (toDual 𝕜 𝕜) g' := by ext; simp rwa [HasDerivAtFilter, this]
Mathlib/Analysis/Calculus/Gradient/Basic.lean
162
166
theorem HasDerivAtFilter.hasGradientAtFilter (h : HasDerivAtFilter g g' u L') : HasGradientAtFilter g (starRingEnd 𝕜 g') u L' := by
have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) g' = (toDual 𝕜 𝕜) (starRingEnd 𝕜 g') := by ext; simp rwa [HasGradientAtFilter, ← this]
3
20.085537
1
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient section OneDimension variable {g : 𝕜 → 𝕜} {g' u : 𝕜} {L' : Filter 𝕜} theorem HasGradientAtFilter.hasDerivAtFilter (h : HasGradientAtFilter g g' u L') : HasDerivAtFilter g (starRingEnd 𝕜 g') u L' := by have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) (starRingEnd 𝕜 g') = (toDual 𝕜 𝕜) g' := by ext; simp rwa [HasDerivAtFilter, this] theorem HasDerivAtFilter.hasGradientAtFilter (h : HasDerivAtFilter g g' u L') : HasGradientAtFilter g (starRingEnd 𝕜 g') u L' := by have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) g' = (toDual 𝕜 𝕜) (starRingEnd 𝕜 g') := by ext; simp rwa [HasGradientAtFilter, ← this]
Mathlib/Analysis/Calculus/Gradient/Basic.lean
168
171
theorem HasGradientAt.hasDerivAt (h : HasGradientAt g g' u) : HasDerivAt g (starRingEnd 𝕜 g') u := by
rw [hasGradientAt_iff_hasFDerivAt, hasFDerivAt_iff_hasDerivAt] at h simpa using h
2
7.389056
1
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient section OneDimension variable {g : 𝕜 → 𝕜} {g' u : 𝕜} {L' : Filter 𝕜} theorem HasGradientAtFilter.hasDerivAtFilter (h : HasGradientAtFilter g g' u L') : HasDerivAtFilter g (starRingEnd 𝕜 g') u L' := by have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) (starRingEnd 𝕜 g') = (toDual 𝕜 𝕜) g' := by ext; simp rwa [HasDerivAtFilter, this] theorem HasDerivAtFilter.hasGradientAtFilter (h : HasDerivAtFilter g g' u L') : HasGradientAtFilter g (starRingEnd 𝕜 g') u L' := by have : ContinuousLinearMap.smulRight (1 : 𝕜 →L[𝕜] 𝕜) g' = (toDual 𝕜 𝕜) (starRingEnd 𝕜 g') := by ext; simp rwa [HasGradientAtFilter, ← this] theorem HasGradientAt.hasDerivAt (h : HasGradientAt g g' u) : HasDerivAt g (starRingEnd 𝕜 g') u := by rw [hasGradientAt_iff_hasFDerivAt, hasFDerivAt_iff_hasDerivAt] at h simpa using h
Mathlib/Analysis/Calculus/Gradient/Basic.lean
173
176
theorem HasDerivAt.hasGradientAt (h : HasDerivAt g g' u) : HasGradientAt g (starRingEnd 𝕜 g') u := by
rw [hasGradientAt_iff_hasFDerivAt, hasFDerivAt_iff_hasDerivAt] simpa
2
7.389056
1
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient open Filter section congr variable {f₀ f₁ : F → 𝕜} {f₀' f₁' : F} {x₀ x₁ : F} {s₀ s₁ t : Set F} {L₀ L₁ : Filter F} theorem Filter.EventuallyEq.hasGradientAtFilter_iff (h₀ : f₀ =ᶠ[L] f₁) (hx : f₀ x = f₁ x) (h₁ : f₀' = f₁') : HasGradientAtFilter f₀ f₀' x L ↔ HasGradientAtFilter f₁ f₁' x L := h₀.hasFDerivAtFilter_iff hx (by simp [h₁])
Mathlib/Analysis/Calculus/Gradient/Basic.lean
261
263
theorem HasGradientAtFilter.congr_of_eventuallyEq (h : HasGradientAtFilter f f' x L) (hL : f₁ =ᶠ[L] f) (hx : f₁ x = f x) : HasGradientAtFilter f₁ f' x L := by
rwa [hL.hasGradientAtFilter_iff hx rfl]
1
2.718282
0
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient open Filter section Const variable (c : 𝕜) (s x L)
Mathlib/Analysis/Calculus/Gradient/Basic.lean
304
305
theorem hasGradientAtFilter_const : HasGradientAtFilter (fun _ => c) 0 x L := by
rw [HasGradientAtFilter, map_zero]; apply hasFDerivAtFilter_const c x L
1
2.718282
0
0.538462
13
511
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient open Filter section Const variable (c : 𝕜) (s x L) theorem hasGradientAtFilter_const : HasGradientAtFilter (fun _ => c) 0 x L := by rw [HasGradientAtFilter, map_zero]; apply hasFDerivAtFilter_const c x L theorem hasGradientWithinAt_const : HasGradientWithinAt (fun _ => c) 0 s x := hasGradientAtFilter_const _ _ _ theorem hasGradientAt_const : HasGradientAt (fun _ => c) 0 x := hasGradientAtFilter_const _ _ _
Mathlib/Analysis/Calculus/Gradient/Basic.lean
313
314
theorem gradient_const : ∇ (fun _ => c) x = 0 := by
rw [gradient, fderiv_const, Pi.zero_apply, map_zero]
1
2.718282
0
0.538462
13
511
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms
Mathlib/Tactic/CancelDenoms/Core.lean
39
42
theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by
rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2]
2
7.389056
1
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst
Mathlib/Tactic/CancelDenoms/Core.lean
45
47
theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by
rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul]
1
2.718282
0
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div
Mathlib/Tactic/CancelDenoms/Core.lean
55
56
theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by
simp [left_distrib, *]
1
2.718282
0
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst
Mathlib/Tactic/CancelDenoms/Core.lean
59
60
theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by
simp [left_distrib, *, sub_eq_add_neg]
1
2.718282
0
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst
Mathlib/Tactic/CancelDenoms/Core.lean
63
63
theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by
simp [*]
1
2.718282
0
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst
Mathlib/Tactic/CancelDenoms/Core.lean
66
68
theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by
rw [← h2, ← h1, mul_pow, mul_assoc]
1
2.718282
0
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc]
Mathlib/Tactic/CancelDenoms/Core.lean
70
71
theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by
rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2]
1
2.718282
0
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc] theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2]
Mathlib/Tactic/CancelDenoms/Core.lean
73
78
theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by
rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd
3
20.085537
1
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc] theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2] theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_lt CancelDenoms.cancel_factors_lt
Mathlib/Tactic/CancelDenoms/Core.lean
81
86
theorem cancel_factors_le {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a ≤ b) = (1 / gcd * (bd * a') ≤ 1 / gcd * (ad * b')) := by
rw [mul_le_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_le_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd
3
20.085537
1
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc] theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2] theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_lt CancelDenoms.cancel_factors_lt theorem cancel_factors_le {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a ≤ b) = (1 / gcd * (bd * a') ≤ 1 / gcd * (ad * b')) := by rw [mul_le_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_le_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_le CancelDenoms.cancel_factors_le
Mathlib/Tactic/CancelDenoms/Core.lean
89
102
theorem cancel_factors_eq {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) : (a = b) = (1 / gcd * (bd * a') = 1 / gcd * (ad * b')) := by
rw [← ha, ← hb, ← mul_assoc bd, ← mul_assoc ad, mul_comm bd] ext; constructor · rintro rfl rfl · intro h simp only [← mul_assoc] at h refine mul_left_cancel₀ (mul_ne_zero ?_ ?_) h on_goal 1 => apply mul_ne_zero on_goal 1 => apply div_ne_zero · exact one_ne_zero all_goals assumption
11
59,874.141715
2
0.545455
11
512
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc] theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2] theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_lt CancelDenoms.cancel_factors_lt theorem cancel_factors_le {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a ≤ b) = (1 / gcd * (bd * a') ≤ 1 / gcd * (ad * b')) := by rw [mul_le_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_le_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd #align cancel_factors.cancel_factors_le CancelDenoms.cancel_factors_le theorem cancel_factors_eq {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) : (a = b) = (1 / gcd * (bd * a') = 1 / gcd * (ad * b')) := by rw [← ha, ← hb, ← mul_assoc bd, ← mul_assoc ad, mul_comm bd] ext; constructor · rintro rfl rfl · intro h simp only [← mul_assoc] at h refine mul_left_cancel₀ (mul_ne_zero ?_ ?_) h on_goal 1 => apply mul_ne_zero on_goal 1 => apply div_ne_zero · exact one_ne_zero all_goals assumption #align cancel_factors.cancel_factors_eq CancelDenoms.cancel_factors_eq
Mathlib/Tactic/CancelDenoms/Core.lean
105
109
theorem cancel_factors_ne {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) : (a ≠ b) = (1 / gcd * (bd * a') ≠ 1 / gcd * (ad * b')) := by
classical rw [eq_iff_iff, not_iff_not, cancel_factors_eq ha hb had hbd hgcd]
2
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import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub
Mathlib/Algebra/AddTorsor.lean
98
100
theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by
-- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub]
2
7.389056
1
0.555556
9
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import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective
Mathlib/Algebra/AddTorsor.lean
117
119
theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by
apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd]
2
7.389056
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0.555556
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import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp]
Mathlib/Algebra/AddTorsor.lean
124
125
theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by
rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub]
1
2.718282
0
0.555556
9
513
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self
Mathlib/Algebra/AddTorsor.lean
129
130
theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by
rw [← vsub_vadd p₁ p₂, h, zero_vadd]
1
2.718282
0
0.555556
9
513
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp]
Mathlib/Algebra/AddTorsor.lean
146
148
theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by
apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd]
2
7.389056
1
0.555556
9
513
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp] theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd] #align vsub_add_vsub_cancel vsub_add_vsub_cancel @[simp]
Mathlib/Algebra/AddTorsor.lean
154
156
theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by
refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_) rw [vsub_add_vsub_cancel, vsub_self]
2
7.389056
1
0.555556
9
513
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp] theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd] #align vsub_add_vsub_cancel vsub_add_vsub_cancel @[simp] theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_) rw [vsub_add_vsub_cancel, vsub_self] #align neg_vsub_eq_vsub_rev neg_vsub_eq_vsub_rev
Mathlib/Algebra/AddTorsor.lean
159
160
theorem vadd_vsub_eq_sub_vsub (g : G) (p q : P) : g +ᵥ p -ᵥ q = g - (q -ᵥ p) := by
rw [vadd_vsub_assoc, sub_eq_add_neg, neg_vsub_eq_vsub_rev]
1
2.718282
0
0.555556
9
513
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp] theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd] #align vsub_add_vsub_cancel vsub_add_vsub_cancel @[simp] theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_) rw [vsub_add_vsub_cancel, vsub_self] #align neg_vsub_eq_vsub_rev neg_vsub_eq_vsub_rev theorem vadd_vsub_eq_sub_vsub (g : G) (p q : P) : g +ᵥ p -ᵥ q = g - (q -ᵥ p) := by rw [vadd_vsub_assoc, sub_eq_add_neg, neg_vsub_eq_vsub_rev] #align vadd_vsub_eq_sub_vsub vadd_vsub_eq_sub_vsub
Mathlib/Algebra/AddTorsor.lean
165
167
theorem vsub_vadd_eq_vsub_sub (p₁ p₂ : P) (g : G) : p₁ -ᵥ (g +ᵥ p₂) = p₁ -ᵥ p₂ - g := by
rw [← add_right_inj (p₂ -ᵥ p₁ : G), vsub_add_vsub_cancel, ← neg_vsub_eq_vsub_rev, vadd_vsub, ← add_sub_assoc, ← neg_vsub_eq_vsub_rev, neg_add_self, zero_sub]
2
7.389056
1
0.555556
9
513
import Mathlib.Data.Set.Pointwise.SMul #align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P, VSub G P where [nonempty : Nonempty P] vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁ vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g #align add_torsor AddTorsor -- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet attribute [instance 100] AddTorsor.nonempty -- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet --attribute [nolint dangerous_instance] AddTorsor.toVSub -- Porting note(#12096): linter not ported yet --@[nolint instance_priority] instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where vsub := Sub.sub vsub_vadd' := sub_add_cancel vadd_vsub' := add_sub_cancel_right #align add_group_is_add_torsor addGroupIsAddTorsor @[simp] theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ := rfl #align vsub_eq_sub vsub_eq_sub section General variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P] @[simp] theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ := AddTorsor.vsub_vadd' p₁ p₂ #align vsub_vadd vsub_vadd @[simp] theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g := AddTorsor.vadd_vsub' g p #align vadd_vsub vadd_vsub theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by -- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p rw [← vadd_vsub g₁ p, h, vadd_vsub] #align vadd_right_cancel vadd_right_cancel @[simp] theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ := ⟨vadd_right_cancel p, fun h => h ▸ rfl⟩ #align vadd_right_cancel_iff vadd_right_cancel_iff theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ => vadd_right_cancel p #align vadd_right_injective vadd_right_injective theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by apply vadd_right_cancel p₂ rw [vsub_vadd, add_vadd, vsub_vadd] #align vadd_vsub_assoc vadd_vsub_assoc @[simp] theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub] #align vsub_self vsub_self theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by rw [← vsub_vadd p₁ p₂, h, zero_vadd] #align eq_of_vsub_eq_zero eq_of_vsub_eq_zero @[simp] theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ := Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _ #align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q := not_congr vsub_eq_zero_iff_eq #align vsub_ne_zero vsub_ne_zero @[simp] theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by apply vadd_right_cancel p₃ rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd] #align vsub_add_vsub_cancel vsub_add_vsub_cancel @[simp] theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_) rw [vsub_add_vsub_cancel, vsub_self] #align neg_vsub_eq_vsub_rev neg_vsub_eq_vsub_rev theorem vadd_vsub_eq_sub_vsub (g : G) (p q : P) : g +ᵥ p -ᵥ q = g - (q -ᵥ p) := by rw [vadd_vsub_assoc, sub_eq_add_neg, neg_vsub_eq_vsub_rev] #align vadd_vsub_eq_sub_vsub vadd_vsub_eq_sub_vsub theorem vsub_vadd_eq_vsub_sub (p₁ p₂ : P) (g : G) : p₁ -ᵥ (g +ᵥ p₂) = p₁ -ᵥ p₂ - g := by rw [← add_right_inj (p₂ -ᵥ p₁ : G), vsub_add_vsub_cancel, ← neg_vsub_eq_vsub_rev, vadd_vsub, ← add_sub_assoc, ← neg_vsub_eq_vsub_rev, neg_add_self, zero_sub] #align vsub_vadd_eq_vsub_sub vsub_vadd_eq_vsub_sub @[simp]
Mathlib/Algebra/AddTorsor.lean
172
173
theorem vsub_sub_vsub_cancel_right (p₁ p₂ p₃ : P) : p₁ -ᵥ p₃ - (p₂ -ᵥ p₃) = p₁ -ᵥ p₂ := by
rw [← vsub_vadd_eq_vsub_sub, vsub_vadd]
1
2.718282
0
0.555556
9
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import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true`
Mathlib/SetTheory/Ordinal/Exponential.lean
42
42
theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by
simp only [opow_def, if_true]
1
2.718282
0
0.555556
9
514
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp]
Mathlib/SetTheory/Ordinal/Exponential.lean
46
47
theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by
rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero]
1
2.718282
0
0.555556
9
514
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp] theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero] #align ordinal.zero_opow Ordinal.zero_opow @[simp]
Mathlib/SetTheory/Ordinal/Exponential.lean
51
54
theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by
by_cases h : a = 0 · simp only [opow_def, if_pos h, sub_zero] · simp only [opow_def, if_neg h, limitRecOn_zero]
3
20.085537
1
0.555556
9
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import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp] theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero] #align ordinal.zero_opow Ordinal.zero_opow @[simp] theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by by_cases h : a = 0 · simp only [opow_def, if_pos h, sub_zero] · simp only [opow_def, if_neg h, limitRecOn_zero] #align ordinal.opow_zero Ordinal.opow_zero @[simp] theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a := if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero] else by simp only [opow_def, limitRecOn_succ, if_neg h] #align ordinal.opow_succ Ordinal.opow_succ
Mathlib/SetTheory/Ordinal/Exponential.lean
63
65
theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b = bsup.{u, u} b fun c _ => a ^ c := by
simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h]
1
2.718282
0
0.555556
9
514
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp] theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero] #align ordinal.zero_opow Ordinal.zero_opow @[simp] theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by by_cases h : a = 0 · simp only [opow_def, if_pos h, sub_zero] · simp only [opow_def, if_neg h, limitRecOn_zero] #align ordinal.opow_zero Ordinal.opow_zero @[simp] theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a := if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero] else by simp only [opow_def, limitRecOn_succ, if_neg h] #align ordinal.opow_succ Ordinal.opow_succ theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b = bsup.{u, u} b fun c _ => a ^ c := by simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h] #align ordinal.opow_limit Ordinal.opow_limit
Mathlib/SetTheory/Ordinal/Exponential.lean
68
69
theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by
rw [opow_limit a0 h, bsup_le_iff]
1
2.718282
0
0.555556
9
514
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp] theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero] #align ordinal.zero_opow Ordinal.zero_opow @[simp] theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by by_cases h : a = 0 · simp only [opow_def, if_pos h, sub_zero] · simp only [opow_def, if_neg h, limitRecOn_zero] #align ordinal.opow_zero Ordinal.opow_zero @[simp] theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a := if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero] else by simp only [opow_def, limitRecOn_succ, if_neg h] #align ordinal.opow_succ Ordinal.opow_succ theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b = bsup.{u, u} b fun c _ => a ^ c := by simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h] #align ordinal.opow_limit Ordinal.opow_limit theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by rw [opow_limit a0 h, bsup_le_iff] #align ordinal.opow_le_of_limit Ordinal.opow_le_of_limit
Mathlib/SetTheory/Ordinal/Exponential.lean
72
74
theorem lt_opow_of_limit {a b c : Ordinal} (b0 : b ≠ 0) (h : IsLimit c) : a < b ^ c ↔ ∃ c' < c, a < b ^ c' := by
rw [← not_iff_not, not_exists]; simp only [not_lt, opow_le_of_limit b0 h, exists_prop, not_and]
1
2.718282
0
0.555556
9
514