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import Mathlib.CategoryTheory.Adjunction.Opposites import Mathlib.CategoryTheory.Comma.Presheaf import Mathlib.CategoryTheory.Elements import Mathlib.CategoryTheory.Limits.ConeCategory import Mathlib.CategoryTheory.Limits.Final import Mathlib.CategoryTheory.Limits.KanExtension import Mathlib.CategoryTheory.Limits.Over #align_import category_theory.limits.presheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory open Category Limits universe v₁ v₂ u₁ u₂ section SmallCategory variable {C : Type u₁} [SmallCategory C] variable {ℰ : Type u₂} [Category.{u₁} ℰ] variable (A : C ⥤ ℰ) namespace ColimitAdj @[simps!] def restrictedYoneda : ℰ ⥤ Cᵒᵖ ⥤ Type u₁ := yoneda ⋙ (whiskeringLeft _ _ (Type u₁)).obj (Functor.op A) #align category_theory.colimit_adj.restricted_yoneda CategoryTheory.ColimitAdj.restrictedYoneda def restrictedYonedaYoneda : restrictedYoneda (yoneda : C ⥤ Cᵒᵖ ⥤ Type u₁) ≅ 𝟭 _ := NatIso.ofComponents fun P => NatIso.ofComponents (fun X => Equiv.toIso yonedaEquiv) @ fun X Y f => funext fun x => by dsimp [yonedaEquiv] have : x.app X (CategoryStruct.id (Opposite.unop X)) = (x.app X (𝟙 (Opposite.unop X))) := rfl rw [this] rw [← FunctorToTypes.naturality _ _ x f (𝟙 _)] simp only [id_comp, Functor.op_obj, Opposite.unop_op, yoneda_obj_map, comp_id] #align category_theory.colimit_adj.restricted_yoneda_yoneda CategoryTheory.ColimitAdj.restrictedYonedaYoneda def restrictYonedaHomEquiv (P : Cᵒᵖ ⥤ Type u₁) (E : ℰ) {c : Cocone ((CategoryOfElements.π P).leftOp ⋙ A)} (t : IsColimit c) : (c.pt ⟶ E) ≃ (P ⟶ (restrictedYoneda A).obj E) := ((uliftTrivial _).symm ≪≫ t.homIso' E).toEquiv.trans { toFun := fun k => { app := fun c p => k.1 (Opposite.op ⟨_, p⟩) naturality := fun c c' f => funext fun p => (k.2 (Quiver.Hom.op ⟨f, rfl⟩ : (Opposite.op ⟨c', P.map f p⟩ : P.Elementsᵒᵖ) ⟶ Opposite.op ⟨c, p⟩)).symm } invFun := fun τ => { val := fun p => τ.app p.unop.1 p.unop.2 property := @fun p p' f => by simp_rw [← f.unop.2] apply (congr_fun (τ.naturality f.unop.1) p'.unop.2).symm } left_inv := by rintro ⟨k₁, k₂⟩ ext dsimp congr 1 right_inv := by rintro ⟨_, _⟩ rfl } #align category_theory.colimit_adj.restrict_yoneda_hom_equiv CategoryTheory.ColimitAdj.restrictYonedaHomEquiv
Mathlib/CategoryTheory/Limits/Presheaf.lean
121
126
theorem restrictYonedaHomEquiv_natural (P : Cᵒᵖ ⥤ Type u₁) (E₁ E₂ : ℰ) (g : E₁ ⟶ E₂) {c : Cocone _} (t : IsColimit c) (k : c.pt ⟶ E₁) : restrictYonedaHomEquiv A P E₂ t (k ≫ g) = restrictYonedaHomEquiv A P E₁ t k ≫ (restrictedYoneda A).map g := by
ext x X apply (assoc _ _ _).symm
import Mathlib.LinearAlgebra.QuadraticForm.IsometryEquiv #align_import linear_algebra.quadratic_form.prod from "leanprover-community/mathlib"@"9b2755b951bc323c962bd072cd447b375cf58101" universe u v w variable {ι : Type*} {R : Type*} {M₁ M₂ N₁ N₂ : Type*} {Mᵢ Nᵢ : ι → Type*} namespace QuadraticForm section Prod section Pi section Semiring variable [CommSemiring R] variable [∀ i, AddCommMonoid (Mᵢ i)] [∀ i, AddCommMonoid (Nᵢ i)] variable [∀ i, Module R (Mᵢ i)] [∀ i, Module R (Nᵢ i)] def pi [Fintype ι] (Q : ∀ i, QuadraticForm R (Mᵢ i)) : QuadraticForm R (∀ i, Mᵢ i) := ∑ i, (Q i).comp (LinearMap.proj i : _ →ₗ[R] Mᵢ i) #align quadratic_form.pi QuadraticForm.pi @[simp] theorem pi_apply [Fintype ι] (Q : ∀ i, QuadraticForm R (Mᵢ i)) (x : ∀ i, Mᵢ i) : pi Q x = ∑ i, Q i (x i) := sum_apply _ _ _ #align quadratic_form.pi_apply QuadraticForm.pi_apply
Mathlib/LinearAlgebra/QuadraticForm/Prod.lean
257
261
theorem pi_apply_single [Fintype ι] [DecidableEq ι] (Q : ∀ i, QuadraticForm R (Mᵢ i)) (i : ι) (m : Mᵢ i) : pi Q (Pi.single i m) = Q i m := by
rw [pi_apply, Fintype.sum_eq_single i fun j hj => ?_, Pi.single_eq_same] rw [Pi.single_eq_of_ne hj, map_zero]
import Mathlib.Analysis.BoxIntegral.Partition.Basic #align_import analysis.box_integral.partition.split from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" noncomputable section open scoped Classical open Filter open Function Set Filter namespace BoxIntegral variable {ι M : Type*} {n : ℕ} namespace Box variable {I : Box ι} {i : ι} {x : ℝ} {y : ι → ℝ} def splitLower (I : Box ι) (i : ι) (x : ℝ) : WithBot (Box ι) := mk' I.lower (update I.upper i (min x (I.upper i))) #align box_integral.box.split_lower BoxIntegral.Box.splitLower @[simp] theorem coe_splitLower : (splitLower I i x : Set (ι → ℝ)) = ↑I ∩ { y | y i ≤ x } := by rw [splitLower, coe_mk'] ext y simp only [mem_univ_pi, mem_Ioc, mem_inter_iff, mem_coe, mem_setOf_eq, forall_and, ← Pi.le_def, le_update_iff, le_min_iff, and_assoc, and_forall_ne (p := fun j => y j ≤ upper I j) i, mem_def] rw [and_comm (a := y i ≤ x)] #align box_integral.box.coe_split_lower BoxIntegral.Box.coe_splitLower theorem splitLower_le : I.splitLower i x ≤ I := withBotCoe_subset_iff.1 <| by simp #align box_integral.box.split_lower_le BoxIntegral.Box.splitLower_le @[simp] theorem splitLower_eq_bot {i x} : I.splitLower i x = ⊥ ↔ x ≤ I.lower i := by rw [splitLower, mk'_eq_bot, exists_update_iff I.upper fun j y => y ≤ I.lower j] simp [(I.lower_lt_upper _).not_le] #align box_integral.box.split_lower_eq_bot BoxIntegral.Box.splitLower_eq_bot @[simp] theorem splitLower_eq_self : I.splitLower i x = I ↔ I.upper i ≤ x := by simp [splitLower, update_eq_iff] #align box_integral.box.split_lower_eq_self BoxIntegral.Box.splitLower_eq_self theorem splitLower_def [DecidableEq ι] {i x} (h : x ∈ Ioo (I.lower i) (I.upper i)) (h' : ∀ j, I.lower j < update I.upper i x j := (forall_update_iff I.upper fun j y => I.lower j < y).2 ⟨h.1, fun j _ => I.lower_lt_upper _⟩) : I.splitLower i x = (⟨I.lower, update I.upper i x, h'⟩ : Box ι) := by simp (config := { unfoldPartialApp := true }) only [splitLower, mk'_eq_coe, min_eq_left h.2.le, update, and_self] #align box_integral.box.split_lower_def BoxIntegral.Box.splitLower_def def splitUpper (I : Box ι) (i : ι) (x : ℝ) : WithBot (Box ι) := mk' (update I.lower i (max x (I.lower i))) I.upper #align box_integral.box.split_upper BoxIntegral.Box.splitUpper @[simp] theorem coe_splitUpper : (splitUpper I i x : Set (ι → ℝ)) = ↑I ∩ { y | x < y i } := by rw [splitUpper, coe_mk'] ext y simp only [mem_univ_pi, mem_Ioc, mem_inter_iff, mem_coe, mem_setOf_eq, forall_and, forall_update_iff I.lower fun j z => z < y j, max_lt_iff, and_assoc (a := x < y i), and_forall_ne (p := fun j => lower I j < y j) i, mem_def] exact and_comm #align box_integral.box.coe_split_upper BoxIntegral.Box.coe_splitUpper theorem splitUpper_le : I.splitUpper i x ≤ I := withBotCoe_subset_iff.1 <| by simp #align box_integral.box.split_upper_le BoxIntegral.Box.splitUpper_le @[simp] theorem splitUpper_eq_bot {i x} : I.splitUpper i x = ⊥ ↔ I.upper i ≤ x := by rw [splitUpper, mk'_eq_bot, exists_update_iff I.lower fun j y => I.upper j ≤ y] simp [(I.lower_lt_upper _).not_le] #align box_integral.box.split_upper_eq_bot BoxIntegral.Box.splitUpper_eq_bot @[simp] theorem splitUpper_eq_self : I.splitUpper i x = I ↔ x ≤ I.lower i := by simp [splitUpper, update_eq_iff] #align box_integral.box.split_upper_eq_self BoxIntegral.Box.splitUpper_eq_self theorem splitUpper_def [DecidableEq ι] {i x} (h : x ∈ Ioo (I.lower i) (I.upper i)) (h' : ∀ j, update I.lower i x j < I.upper j := (forall_update_iff I.lower fun j y => y < I.upper j).2 ⟨h.2, fun j _ => I.lower_lt_upper _⟩) : I.splitUpper i x = (⟨update I.lower i x, I.upper, h'⟩ : Box ι) := by simp (config := { unfoldPartialApp := true }) only [splitUpper, mk'_eq_coe, max_eq_left h.1.le, update, and_self] #align box_integral.box.split_upper_def BoxIntegral.Box.splitUpper_def
Mathlib/Analysis/BoxIntegral/Partition/Split.lean
139
144
theorem disjoint_splitLower_splitUpper (I : Box ι) (i : ι) (x : ℝ) : Disjoint (I.splitLower i x) (I.splitUpper i x) := by
rw [← disjoint_withBotCoe, coe_splitLower, coe_splitUpper] refine (Disjoint.inf_left' _ ?_).inf_right' _ rw [Set.disjoint_left] exact fun y (hle : y i ≤ x) hlt => not_lt_of_le hle hlt
import Mathlib.Data.Matrix.Basic variable {l m n o : Type*} universe u v w variable {R : Type*} {α : Type v} {β : Type w} namespace Matrix def col (w : m → α) : Matrix m Unit α := of fun x _ => w x #align matrix.col Matrix.col -- TODO: set as an equation lemma for `col`, see mathlib4#3024 @[simp] theorem col_apply (w : m → α) (i j) : col w i j = w i := rfl #align matrix.col_apply Matrix.col_apply def row (v : n → α) : Matrix Unit n α := of fun _ y => v y #align matrix.row Matrix.row -- TODO: set as an equation lemma for `row`, see mathlib4#3024 @[simp] theorem row_apply (v : n → α) (i j) : row v i j = v j := rfl #align matrix.row_apply Matrix.row_apply theorem col_injective : Function.Injective (col : (m → α) → _) := fun _x _y h => funext fun i => congr_fun₂ h i () @[simp] theorem col_inj {v w : m → α} : col v = col w ↔ v = w := col_injective.eq_iff @[simp] theorem col_zero [Zero α] : col (0 : m → α) = 0 := rfl @[simp] theorem col_eq_zero [Zero α] (v : m → α) : col v = 0 ↔ v = 0 := col_inj @[simp] theorem col_add [Add α] (v w : m → α) : col (v + w) = col v + col w := by ext rfl #align matrix.col_add Matrix.col_add @[simp] theorem col_smul [SMul R α] (x : R) (v : m → α) : col (x • v) = x • col v := by ext rfl #align matrix.col_smul Matrix.col_smul theorem row_injective : Function.Injective (row : (n → α) → _) := fun _x _y h => funext fun j => congr_fun₂ h () j @[simp] theorem row_inj {v w : n → α} : row v = row w ↔ v = w := row_injective.eq_iff @[simp] theorem row_zero [Zero α] : row (0 : n → α) = 0 := rfl @[simp] theorem row_eq_zero [Zero α] (v : n → α) : row v = 0 ↔ v = 0 := row_inj @[simp] theorem row_add [Add α] (v w : m → α) : row (v + w) = row v + row w := by ext rfl #align matrix.row_add Matrix.row_add @[simp] theorem row_smul [SMul R α] (x : R) (v : m → α) : row (x • v) = x • row v := by ext rfl #align matrix.row_smul Matrix.row_smul @[simp] theorem transpose_col (v : m → α) : (Matrix.col v)ᵀ = Matrix.row v := by ext rfl #align matrix.transpose_col Matrix.transpose_col @[simp] theorem transpose_row (v : m → α) : (Matrix.row v)ᵀ = Matrix.col v := by ext rfl #align matrix.transpose_row Matrix.transpose_row @[simp] theorem conjTranspose_col [Star α] (v : m → α) : (col v)ᴴ = row (star v) := by ext rfl #align matrix.conj_transpose_col Matrix.conjTranspose_col @[simp] theorem conjTranspose_row [Star α] (v : m → α) : (row v)ᴴ = col (star v) := by ext rfl #align matrix.conj_transpose_row Matrix.conjTranspose_row theorem row_vecMul [Fintype m] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : m → α) : Matrix.row (v ᵥ* M) = Matrix.row v * M := by ext rfl #align matrix.row_vec_mul Matrix.row_vecMul theorem col_vecMul [Fintype m] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : m → α) : Matrix.col (v ᵥ* M) = (Matrix.row v * M)ᵀ := by ext rfl #align matrix.col_vec_mul Matrix.col_vecMul
Mathlib/Data/Matrix/RowCol.lean
129
132
theorem col_mulVec [Fintype n] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : n → α) : Matrix.col (M *ᵥ v) = M * Matrix.col v := by
ext rfl
import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.LinearAlgebra.Basis.VectorSpace import Mathlib.RingTheory.SimpleModule #align_import representation_theory.maschke from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v w noncomputable section open Module MonoidAlgebra namespace LinearMap -- At first we work with any `[CommRing k]`, and add the assumption that -- `[Invertible (Fintype.card G : k)]` when it is required. variable {k : Type u} [CommRing k] {G : Type u} [Group G] variable {V : Type v} [AddCommGroup V] [Module k V] [Module (MonoidAlgebra k G) V] variable [IsScalarTower k (MonoidAlgebra k G) V] variable {W : Type w} [AddCommGroup W] [Module k W] [Module (MonoidAlgebra k G) W] variable [IsScalarTower k (MonoidAlgebra k G) W] variable (π : W →ₗ[k] V) def conjugate (g : G) : W →ₗ[k] V := .comp (.comp (GroupSMul.linearMap k V g⁻¹) π) (GroupSMul.linearMap k W g) #align linear_map.conjugate LinearMap.conjugate theorem conjugate_apply (g : G) (v : W) : π.conjugate g v = MonoidAlgebra.single g⁻¹ (1 : k) • π (MonoidAlgebra.single g (1 : k) • v) := rfl variable (i : V →ₗ[MonoidAlgebra k G] W) (h : ∀ v : V, (π : W → V) (i v) = v) section theorem conjugate_i (g : G) (v : V) : (conjugate π g : W → V) (i v) = v := by rw [conjugate_apply, ← i.map_smul, h, ← mul_smul, single_mul_single, mul_one, mul_left_inv, ← one_def, one_smul] #align linear_map.conjugate_i LinearMap.conjugate_i end variable (G) [Fintype G] def sumOfConjugates : W →ₗ[k] V := ∑ g : G, π.conjugate g #align linear_map.sum_of_conjugates LinearMap.sumOfConjugates lemma sumOfConjugates_apply (v : W) : π.sumOfConjugates G v = ∑ g : G, π.conjugate g v := LinearMap.sum_apply _ _ _ def sumOfConjugatesEquivariant : W →ₗ[MonoidAlgebra k G] V := MonoidAlgebra.equivariantOfLinearOfComm (π.sumOfConjugates G) fun g v => by simp only [sumOfConjugates_apply, Finset.smul_sum, conjugate_apply] refine Fintype.sum_bijective (· * g) (Group.mulRight_bijective g) _ _ fun i ↦ ?_ simp only [smul_smul, single_mul_single, mul_inv_rev, mul_inv_cancel_left, one_mul] #align linear_map.sum_of_conjugates_equivariant LinearMap.sumOfConjugatesEquivariant theorem sumOfConjugatesEquivariant_apply (v : W) : π.sumOfConjugatesEquivariant G v = ∑ g : G, π.conjugate g v := π.sumOfConjugates_apply G v section variable [Invertible (Fintype.card G : k)] def equivariantProjection : W →ₗ[MonoidAlgebra k G] V := ⅟(Fintype.card G : k) • π.sumOfConjugatesEquivariant G #align linear_map.equivariant_projection LinearMap.equivariantProjection theorem equivariantProjection_apply (v : W) : π.equivariantProjection G v = ⅟(Fintype.card G : k) • ∑ g : G, π.conjugate g v := by simp only [equivariantProjection, smul_apply, sumOfConjugatesEquivariant_apply]
Mathlib/RepresentationTheory/Maschke.lean
129
133
theorem equivariantProjection_condition (v : V) : (π.equivariantProjection G) (i v) = v := by
rw [equivariantProjection_apply] simp only [conjugate_i π i h] rw [Finset.sum_const, Finset.card_univ, nsmul_eq_smul_cast k, smul_smul, Invertible.invOf_mul_self, one_smul]
import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Algebra.Group.ConjFinite import Mathlib.Algebra.Group.Subgroup.Finite import Mathlib.Data.Set.Card import Mathlib.GroupTheory.Subgroup.Center open MulAction ConjClasses variable (G : Type*) [Group G]
Mathlib/GroupTheory/ClassEquation.lean
31
35
theorem sum_conjClasses_card_eq_card [Fintype <| ConjClasses G] [Fintype G] [∀ x : ConjClasses G, Fintype x.carrier] : ∑ x : ConjClasses G, x.carrier.toFinset.card = Fintype.card G := by
suffices (Σ x : ConjClasses G, x.carrier) ≃ G by simpa using (Fintype.card_congr this) simpa [carrier_eq_preimage_mk] using Equiv.sigmaFiberEquiv ConjClasses.mk
import Mathlib.Algebra.Group.Defs import Mathlib.Algebra.GroupWithZero.Defs import Mathlib.Data.Int.Cast.Defs import Mathlib.Tactic.Spread import Mathlib.Util.AssertExists #align_import algebra.ring.defs from "leanprover-community/mathlib"@"76de8ae01554c3b37d66544866659ff174e66e1f" universe u v w x variable {α : Type u} {β : Type v} {γ : Type w} {R : Type x} open Function class Distrib (R : Type*) extends Mul R, Add R where protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c #align distrib Distrib class LeftDistribClass (R : Type*) [Mul R] [Add R] : Prop where protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c #align left_distrib_class LeftDistribClass class RightDistribClass (R : Type*) [Mul R] [Add R] : Prop where protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c #align right_distrib_class RightDistribClass -- see Note [lower instance priority] instance (priority := 100) Distrib.leftDistribClass (R : Type*) [Distrib R] : LeftDistribClass R := ⟨Distrib.left_distrib⟩ #align distrib.left_distrib_class Distrib.leftDistribClass -- see Note [lower instance priority] instance (priority := 100) Distrib.rightDistribClass (R : Type*) [Distrib R] : RightDistribClass R := ⟨Distrib.right_distrib⟩ #align distrib.right_distrib_class Distrib.rightDistribClass theorem left_distrib [Mul R] [Add R] [LeftDistribClass R] (a b c : R) : a * (b + c) = a * b + a * c := LeftDistribClass.left_distrib a b c #align left_distrib left_distrib alias mul_add := left_distrib #align mul_add mul_add theorem right_distrib [Mul R] [Add R] [RightDistribClass R] (a b c : R) : (a + b) * c = a * c + b * c := RightDistribClass.right_distrib a b c #align right_distrib right_distrib alias add_mul := right_distrib #align add_mul add_mul theorem distrib_three_right [Mul R] [Add R] [RightDistribClass R] (a b c d : R) : (a + b + c) * d = a * d + b * d + c * d := by simp [right_distrib] #align distrib_three_right distrib_three_right class NonUnitalNonAssocSemiring (α : Type u) extends AddCommMonoid α, Distrib α, MulZeroClass α #align non_unital_non_assoc_semiring NonUnitalNonAssocSemiring class NonUnitalSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, SemigroupWithZero α #align non_unital_semiring NonUnitalSemiring class NonAssocSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, MulZeroOneClass α, AddCommMonoidWithOne α #align non_assoc_semiring NonAssocSemiring class NonUnitalNonAssocRing (α : Type u) extends AddCommGroup α, NonUnitalNonAssocSemiring α #align non_unital_non_assoc_ring NonUnitalNonAssocRing class NonUnitalRing (α : Type*) extends NonUnitalNonAssocRing α, NonUnitalSemiring α #align non_unital_ring NonUnitalRing class NonAssocRing (α : Type*) extends NonUnitalNonAssocRing α, NonAssocSemiring α, AddCommGroupWithOne α #align non_assoc_ring NonAssocRing class Semiring (α : Type u) extends NonUnitalSemiring α, NonAssocSemiring α, MonoidWithZero α #align semiring Semiring class Ring (R : Type u) extends Semiring R, AddCommGroup R, AddGroupWithOne R #align ring Ring section DistribMulOneClass variable [Add α] [MulOneClass α] theorem add_one_mul [RightDistribClass α] (a b : α) : (a + 1) * b = a * b + b := by rw [add_mul, one_mul] #align add_one_mul add_one_mul
Mathlib/Algebra/Ring/Defs.lean
160
161
theorem mul_add_one [LeftDistribClass α] (a b : α) : a * (b + 1) = a * b + a := by
rw [mul_add, mul_one]
import Mathlib.FieldTheory.Finite.Polynomial import Mathlib.NumberTheory.Basic import Mathlib.RingTheory.WittVector.WittPolynomial #align_import ring_theory.witt_vector.structure_polynomial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open MvPolynomial Set open Finset (range) open Finsupp (single) -- This lemma reduces a bundled morphism to a "mere" function, -- and consequently the simplifier cannot use a lot of powerful simp-lemmas. -- We disable this locally, and probably it should be disabled globally in mathlib. attribute [-simp] coe_eval₂Hom variable {p : ℕ} {R : Type*} {idx : Type*} [CommRing R] open scoped Witt section PPrime variable (p) [hp : Fact p.Prime] -- Notation with ring of coefficients explicit set_option quotPrecheck false in @[inherit_doc] scoped[Witt] notation "W_" => wittPolynomial p -- Notation with ring of coefficients implicit set_option quotPrecheck false in @[inherit_doc] scoped[Witt] notation "W" => wittPolynomial p _ noncomputable def wittStructureRat (Φ : MvPolynomial idx ℚ) (n : ℕ) : MvPolynomial (idx × ℕ) ℚ := bind₁ (fun k => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) (xInTermsOfW p ℚ n) #align witt_structure_rat wittStructureRat theorem wittStructureRat_prop (Φ : MvPolynomial idx ℚ) (n : ℕ) : bind₁ (wittStructureRat p Φ) (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := calc bind₁ (wittStructureRat p Φ) (W_ ℚ n) = bind₁ (fun k => bind₁ (fun i => (rename (Prod.mk i)) (W_ ℚ k)) Φ) (bind₁ (xInTermsOfW p ℚ) (W_ ℚ n)) := by rw [bind₁_bind₁]; exact eval₂Hom_congr (RingHom.ext_rat _ _) rfl rfl _ = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by rw [bind₁_xInTermsOfW_wittPolynomial p _ n, bind₁_X_right] #align witt_structure_rat_prop wittStructureRat_prop theorem wittStructureRat_existsUnique (Φ : MvPolynomial idx ℚ) : ∃! φ : ℕ → MvPolynomial (idx × ℕ) ℚ, ∀ n : ℕ, bind₁ φ (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by refine ⟨wittStructureRat p Φ, ?_, ?_⟩ · intro n; apply wittStructureRat_prop · intro φ H funext n rw [show φ n = bind₁ φ (bind₁ (W_ ℚ) (xInTermsOfW p ℚ n)) by rw [bind₁_wittPolynomial_xInTermsOfW p, bind₁_X_right]] rw [bind₁_bind₁] exact eval₂Hom_congr (RingHom.ext_rat _ _) (funext H) rfl #align witt_structure_rat_exists_unique wittStructureRat_existsUnique
Mathlib/RingTheory/WittVector/StructurePolynomial.lean
164
175
theorem wittStructureRat_rec_aux (Φ : MvPolynomial idx ℚ) (n : ℕ) : wittStructureRat p Φ n * C ((p : ℚ) ^ n) = bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ - ∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i) := by
have := xInTermsOfW_aux p ℚ n replace := congr_arg (bind₁ fun k : ℕ => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) this rw [AlgHom.map_mul, bind₁_C_right] at this rw [wittStructureRat, this]; clear this conv_lhs => simp only [AlgHom.map_sub, bind₁_X_right] rw [sub_right_inj] simp only [AlgHom.map_sum, AlgHom.map_mul, bind₁_C_right, AlgHom.map_pow] rfl
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.LinearAlgebra.SesquilinearForm import Mathlib.Topology.Algebra.Module.WeakDual #align_import analysis.locally_convex.polar from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" variable {𝕜 E F : Type*} open Topology namespace LinearMap section NormedRing variable [NormedCommRing 𝕜] [AddCommMonoid E] [AddCommMonoid F] variable [Module 𝕜 E] [Module 𝕜 F] variable (B : E →ₗ[𝕜] F →ₗ[𝕜] 𝕜) def polar (s : Set E) : Set F := { y : F | ∀ x ∈ s, ‖B x y‖ ≤ 1 } #align linear_map.polar LinearMap.polar theorem polar_mem_iff (s : Set E) (y : F) : y ∈ B.polar s ↔ ∀ x ∈ s, ‖B x y‖ ≤ 1 := Iff.rfl #align linear_map.polar_mem_iff LinearMap.polar_mem_iff theorem polar_mem (s : Set E) (y : F) (hy : y ∈ B.polar s) : ∀ x ∈ s, ‖B x y‖ ≤ 1 := hy #align linear_map.polar_mem LinearMap.polar_mem @[simp] theorem zero_mem_polar (s : Set E) : (0 : F) ∈ B.polar s := fun _ _ => by simp only [map_zero, norm_zero, zero_le_one] #align linear_map.zero_mem_polar LinearMap.zero_mem_polar
Mathlib/Analysis/LocallyConvex/Polar.lean
73
75
theorem polar_eq_iInter {s : Set E} : B.polar s = ⋂ x ∈ s, { y : F | ‖B x y‖ ≤ 1 } := by
ext simp only [polar_mem_iff, Set.mem_iInter, Set.mem_setOf_eq]
import Mathlib.LinearAlgebra.Contraction import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff #align_import linear_algebra.trace from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0" noncomputable section universe u v w namespace LinearMap open Matrix open FiniteDimensional open TensorProduct section variable (R : Type u) [CommSemiring R] {M : Type v} [AddCommMonoid M] [Module R M] variable {ι : Type w} [DecidableEq ι] [Fintype ι] variable {κ : Type*} [DecidableEq κ] [Fintype κ] variable (b : Basis ι R M) (c : Basis κ R M) def traceAux : (M →ₗ[R] M) →ₗ[R] R := Matrix.traceLinearMap ι R R ∘ₗ ↑(LinearMap.toMatrix b b) #align linear_map.trace_aux LinearMap.traceAux -- Can't be `simp` because it would cause a loop. theorem traceAux_def (b : Basis ι R M) (f : M →ₗ[R] M) : traceAux R b f = Matrix.trace (LinearMap.toMatrix b b f) := rfl #align linear_map.trace_aux_def LinearMap.traceAux_def theorem traceAux_eq : traceAux R b = traceAux R c := LinearMap.ext fun f => calc Matrix.trace (LinearMap.toMatrix b b f) = Matrix.trace (LinearMap.toMatrix b b ((LinearMap.id.comp f).comp LinearMap.id)) := by rw [LinearMap.id_comp, LinearMap.comp_id] _ = Matrix.trace (LinearMap.toMatrix c b LinearMap.id * LinearMap.toMatrix c c f * LinearMap.toMatrix b c LinearMap.id) := by rw [LinearMap.toMatrix_comp _ c, LinearMap.toMatrix_comp _ c] _ = Matrix.trace (LinearMap.toMatrix c c f * LinearMap.toMatrix b c LinearMap.id * LinearMap.toMatrix c b LinearMap.id) := by rw [Matrix.mul_assoc, Matrix.trace_mul_comm] _ = Matrix.trace (LinearMap.toMatrix c c ((f.comp LinearMap.id).comp LinearMap.id)) := by rw [LinearMap.toMatrix_comp _ b, LinearMap.toMatrix_comp _ c] _ = Matrix.trace (LinearMap.toMatrix c c f) := by rw [LinearMap.comp_id, LinearMap.comp_id] #align linear_map.trace_aux_eq LinearMap.traceAux_eq open scoped Classical variable (M) def trace : (M →ₗ[R] M) →ₗ[R] R := if H : ∃ s : Finset M, Nonempty (Basis s R M) then traceAux R H.choose_spec.some else 0 #align linear_map.trace LinearMap.trace variable {M} theorem trace_eq_matrix_trace_of_finset {s : Finset M} (b : Basis s R M) (f : M →ₗ[R] M) : trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by have : ∃ s : Finset M, Nonempty (Basis s R M) := ⟨s, ⟨b⟩⟩ rw [trace, dif_pos this, ← traceAux_def] congr 1 apply traceAux_eq #align linear_map.trace_eq_matrix_trace_of_finset LinearMap.trace_eq_matrix_trace_of_finset theorem trace_eq_matrix_trace (f : M →ₗ[R] M) : trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by rw [trace_eq_matrix_trace_of_finset R b.reindexFinsetRange, ← traceAux_def, ← traceAux_def, traceAux_eq R b b.reindexFinsetRange] #align linear_map.trace_eq_matrix_trace LinearMap.trace_eq_matrix_trace theorem trace_mul_comm (f g : M →ₗ[R] M) : trace R M (f * g) = trace R M (g * f) := if H : ∃ s : Finset M, Nonempty (Basis s R M) then by let ⟨s, ⟨b⟩⟩ := H simp_rw [trace_eq_matrix_trace R b, LinearMap.toMatrix_mul] apply Matrix.trace_mul_comm else by rw [trace, dif_neg H, LinearMap.zero_apply, LinearMap.zero_apply] #align linear_map.trace_mul_comm LinearMap.trace_mul_comm lemma trace_mul_cycle (f g h : M →ₗ[R] M) : trace R M (f * g * h) = trace R M (h * f * g) := by rw [LinearMap.trace_mul_comm, ← mul_assoc] lemma trace_mul_cycle' (f g h : M →ₗ[R] M) : trace R M (f * (g * h)) = trace R M (h * (f * g)) := by rw [← mul_assoc, LinearMap.trace_mul_comm] @[simp] theorem trace_conj (g : M →ₗ[R] M) (f : (M →ₗ[R] M)ˣ) : trace R M (↑f * g * ↑f⁻¹) = trace R M g := by rw [trace_mul_comm] simp #align linear_map.trace_conj LinearMap.trace_conj @[simp] lemma trace_lie {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] (f g : Module.End R M) : trace R M ⁅f, g⁆ = 0 := by rw [Ring.lie_def, map_sub, trace_mul_comm] exact sub_self _ end section variable {R : Type*} [CommRing R] {M : Type*} [AddCommGroup M] [Module R M] variable (N P : Type*) [AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P] variable {ι : Type*} theorem trace_eq_contract_of_basis [Finite ι] (b : Basis ι R M) : LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M := by classical cases nonempty_fintype ι apply Basis.ext (Basis.tensorProduct (Basis.dualBasis b) b) rintro ⟨i, j⟩ simp only [Function.comp_apply, Basis.tensorProduct_apply, Basis.coe_dualBasis, coe_comp] rw [trace_eq_matrix_trace R b, toMatrix_dualTensorHom] by_cases hij : i = j · rw [hij] simp rw [Matrix.StdBasisMatrix.trace_zero j i (1 : R) hij] simp [Finsupp.single_eq_pi_single, hij] #align linear_map.trace_eq_contract_of_basis LinearMap.trace_eq_contract_of_basis
Mathlib/LinearAlgebra/Trace.lean
155
157
theorem trace_eq_contract_of_basis' [Fintype ι] [DecidableEq ι] (b : Basis ι R M) : LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquivOfBasis b).symm.toLinearMap := by
simp [LinearEquiv.eq_comp_toLinearMap_symm, trace_eq_contract_of_basis b]
import Batteries.Data.HashMap.Basic import Batteries.Data.Array.Lemmas import Batteries.Data.Nat.Lemmas namespace Batteries.HashMap namespace Imp attribute [-simp] Bool.not_eq_true namespace Buckets @[ext] protected theorem ext : ∀ {b₁ b₂ : Buckets α β}, b₁.1.data = b₂.1.data → b₁ = b₂ | ⟨⟨_⟩, _⟩, ⟨⟨_⟩, _⟩, rfl => rfl theorem update_data (self : Buckets α β) (i d h) : (self.update i d h).1.data = self.1.data.set i.toNat d := rfl theorem exists_of_update (self : Buckets α β) (i d h) : ∃ l₁ l₂, self.1.data = l₁ ++ self.1[i] :: l₂ ∧ List.length l₁ = i.toNat ∧ (self.update i d h).1.data = l₁ ++ d :: l₂ := by simp only [Array.data_length, Array.ugetElem_eq_getElem, Array.getElem_eq_data_get] exact List.exists_of_set' h
.lake/packages/batteries/Batteries/Data/HashMap/WF.lean
29
33
theorem update_update (self : Buckets α β) (i d d' h h') : (self.update i d h).update i d' h' = self.update i d' h := by
simp only [update, Array.uset, Array.data_length] congr 1 rw [Array.set_set]
import Mathlib.Topology.MetricSpace.HausdorffDistance #align_import topology.metric_space.pi_nat from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993" noncomputable section open scoped Classical open Topology Filter open TopologicalSpace Set Metric Filter Function attribute [local simp] pow_le_pow_iff_right one_lt_two inv_le_inv zero_le_two zero_lt_two variable {E : ℕ → Type*} namespace PiNat irreducible_def firstDiff (x y : ∀ n, E n) : ℕ := if h : x ≠ y then Nat.find (ne_iff.1 h) else 0 #align pi_nat.first_diff PiNat.firstDiff theorem apply_firstDiff_ne {x y : ∀ n, E n} (h : x ≠ y) : x (firstDiff x y) ≠ y (firstDiff x y) := by rw [firstDiff_def, dif_pos h] exact Nat.find_spec (ne_iff.1 h) #align pi_nat.apply_first_diff_ne PiNat.apply_firstDiff_ne theorem apply_eq_of_lt_firstDiff {x y : ∀ n, E n} {n : ℕ} (hn : n < firstDiff x y) : x n = y n := by rw [firstDiff_def] at hn split_ifs at hn with h · convert Nat.find_min (ne_iff.1 h) hn simp · exact (not_lt_zero' hn).elim #align pi_nat.apply_eq_of_lt_first_diff PiNat.apply_eq_of_lt_firstDiff theorem firstDiff_comm (x y : ∀ n, E n) : firstDiff x y = firstDiff y x := by simp only [firstDiff_def, ne_comm] #align pi_nat.first_diff_comm PiNat.firstDiff_comm
Mathlib/Topology/MetricSpace/PiNat.lean
92
99
theorem min_firstDiff_le (x y z : ∀ n, E n) (h : x ≠ z) : min (firstDiff x y) (firstDiff y z) ≤ firstDiff x z := by
by_contra! H rw [lt_min_iff] at H refine apply_firstDiff_ne h ?_ calc x (firstDiff x z) = y (firstDiff x z) := apply_eq_of_lt_firstDiff H.1 _ = z (firstDiff x z) := apply_eq_of_lt_firstDiff H.2
import Mathlib.Algebra.Module.PID import Mathlib.Data.ZMod.Quotient #align_import group_theory.finite_abelian from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6" open scoped DirectSum private def directSumNeZeroMulHom {ι : Type} [DecidableEq ι] (p : ι → ℕ) (n : ι → ℕ) : (⨁ i : {i // n i ≠ 0}, ZMod (p i ^ n i)) →+ ⨁ i, ZMod (p i ^ n i) := DirectSum.toAddMonoid fun i ↦ DirectSum.of (fun i ↦ ZMod (p i ^ n i)) i private def directSumNeZeroMulEquiv (ι : Type) [DecidableEq ι] (p : ι → ℕ) (n : ι → ℕ) : (⨁ i : {i // n i ≠ 0}, ZMod (p i ^ n i)) ≃+ ⨁ i, ZMod (p i ^ n i) where toFun := directSumNeZeroMulHom p n invFun := DirectSum.toAddMonoid fun i ↦ if h : n i = 0 then 0 else DirectSum.of (fun j : {i // n i ≠ 0} ↦ ZMod (p j ^ n j)) ⟨i, h⟩ left_inv x := by induction' x using DirectSum.induction_on with i x x y hx hy · simp · rw [directSumNeZeroMulHom, DirectSum.toAddMonoid_of, DirectSum.toAddMonoid_of, dif_neg i.prop] · rw [map_add, map_add, hx, hy] right_inv x := by induction' x using DirectSum.induction_on with i x x y hx hy · rw [map_zero, map_zero] · rw [DirectSum.toAddMonoid_of] split_ifs with h · simp [(ZMod.subsingleton_iff.2 $ by rw [h, pow_zero]).elim x 0] · simp_rw [directSumNeZeroMulHom, DirectSum.toAddMonoid_of] · rw [map_add, map_add, hx, hy] map_add' := map_add (directSumNeZeroMulHom p n) universe u variable (G : Type u) namespace AddCommGroup variable [AddCommGroup G] theorem equiv_free_prod_directSum_zmod [hG : AddGroup.FG G] : ∃ (n : ℕ) (ι : Type) (_ : Fintype ι) (p : ι → ℕ) (_ : ∀ i, Nat.Prime <| p i) (e : ι → ℕ), Nonempty <| G ≃+ (Fin n →₀ ℤ) × ⨁ i : ι, ZMod (p i ^ e i) := by obtain ⟨n, ι, fι, p, hp, e, ⟨f⟩⟩ := @Module.equiv_free_prod_directSum _ _ _ _ _ _ _ (Module.Finite.iff_addGroup_fg.mpr hG) refine ⟨n, ι, fι, fun i => (p i).natAbs, fun i => ?_, e, ⟨?_⟩⟩ · rw [← Int.prime_iff_natAbs_prime, ← irreducible_iff_prime]; exact hp i exact f.toAddEquiv.trans ((AddEquiv.refl _).prodCongr <| DFinsupp.mapRange.addEquiv fun i => ((Int.quotientSpanEquivZMod _).trans <| ZMod.ringEquivCongr <| (p i).natAbs_pow _).toAddEquiv) #align add_comm_group.equiv_free_prod_direct_sum_zmod AddCommGroup.equiv_free_prod_directSum_zmod
Mathlib/GroupTheory/FiniteAbelian.lean
131
143
theorem equiv_directSum_zmod_of_finite [Finite G] : ∃ (ι : Type) (_ : Fintype ι) (p : ι → ℕ) (_ : ∀ i, Nat.Prime <| p i) (e : ι → ℕ), Nonempty <| G ≃+ ⨁ i : ι, ZMod (p i ^ e i) := by
cases nonempty_fintype G obtain ⟨n, ι, fι, p, hp, e, ⟨f⟩⟩ := equiv_free_prod_directSum_zmod G cases' n with n · have : Unique (Fin Nat.zero →₀ ℤ) := { uniq := by simp only [Nat.zero_eq, eq_iff_true_of_subsingleton]; trivial } exact ⟨ι, fι, p, hp, e, ⟨f.trans AddEquiv.uniqueProd⟩⟩ · haveI := @Fintype.prodLeft _ _ _ (Fintype.ofEquiv G f.toEquiv) _ exact (Fintype.ofSurjective (fun f : Fin n.succ →₀ ℤ => f 0) fun a => ⟨Finsupp.single 0 a, Finsupp.single_eq_same⟩).false.elim
import Mathlib.Data.ENat.Lattice import Mathlib.Order.OrderIsoNat import Mathlib.Tactic.TFAE #align_import order.height from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b" open List hiding le_antisymm open OrderDual universe u v variable {α β : Type*} namespace Set section LT variable [LT α] [LT β] (s t : Set α) def subchain : Set (List α) := { l | l.Chain' (· < ·) ∧ ∀ i ∈ l, i ∈ s } #align set.subchain Set.subchain @[simp] -- porting note: new `simp` theorem nil_mem_subchain : [] ∈ s.subchain := ⟨trivial, fun _ ↦ nofun⟩ #align set.nil_mem_subchain Set.nil_mem_subchain variable {s} {l : List α} {a : α} theorem cons_mem_subchain_iff : (a::l) ∈ s.subchain ↔ a ∈ s ∧ l ∈ s.subchain ∧ ∀ b ∈ l.head?, a < b := by simp only [subchain, mem_setOf_eq, forall_mem_cons, chain'_cons', and_left_comm, and_comm, and_assoc] #align set.cons_mem_subchain_iff Set.cons_mem_subchain_iff @[simp] -- Porting note (#10756): new lemma + `simp` theorem singleton_mem_subchain_iff : [a] ∈ s.subchain ↔ a ∈ s := by simp [cons_mem_subchain_iff] instance : Nonempty s.subchain := ⟨⟨[], s.nil_mem_subchain⟩⟩ variable (s) noncomputable def chainHeight : ℕ∞ := ⨆ l ∈ s.subchain, length l #align set.chain_height Set.chainHeight theorem chainHeight_eq_iSup_subtype : s.chainHeight = ⨆ l : s.subchain, ↑l.1.length := iSup_subtype' #align set.chain_height_eq_supr_subtype Set.chainHeight_eq_iSup_subtype theorem exists_chain_of_le_chainHeight {n : ℕ} (hn : ↑n ≤ s.chainHeight) : ∃ l ∈ s.subchain, length l = n := by rcases (le_top : s.chainHeight ≤ ⊤).eq_or_lt with ha | ha <;> rw [chainHeight_eq_iSup_subtype] at ha · obtain ⟨_, ⟨⟨l, h₁, h₂⟩, rfl⟩, h₃⟩ := not_bddAbove_iff'.mp (WithTop.iSup_coe_eq_top.1 ha) n exact ⟨l.take n, ⟨h₁.take _, fun x h ↦ h₂ _ <| take_subset _ _ h⟩, (l.length_take n).trans <| min_eq_left <| le_of_not_ge h₃⟩ · rw [ENat.iSup_coe_lt_top] at ha obtain ⟨⟨l, h₁, h₂⟩, e : l.length = _⟩ := Nat.sSup_mem (Set.range_nonempty _) ha refine ⟨l.take n, ⟨h₁.take _, fun x h ↦ h₂ _ <| take_subset _ _ h⟩, (l.length_take n).trans <| min_eq_left <| ?_⟩ rwa [e, ← Nat.cast_le (α := ℕ∞), sSup_range, ENat.coe_iSup ha, ← chainHeight_eq_iSup_subtype] #align set.exists_chain_of_le_chain_height Set.exists_chain_of_le_chainHeight theorem le_chainHeight_TFAE (n : ℕ) : TFAE [↑n ≤ s.chainHeight, ∃ l ∈ s.subchain, length l = n, ∃ l ∈ s.subchain, n ≤ length l] := by tfae_have 1 → 2; · exact s.exists_chain_of_le_chainHeight tfae_have 2 → 3; · rintro ⟨l, hls, he⟩; exact ⟨l, hls, he.ge⟩ tfae_have 3 → 1; · rintro ⟨l, hs, hn⟩; exact le_iSup₂_of_le l hs (WithTop.coe_le_coe.2 hn) tfae_finish #align set.le_chain_height_tfae Set.le_chainHeight_TFAE variable {s t} theorem le_chainHeight_iff {n : ℕ} : ↑n ≤ s.chainHeight ↔ ∃ l ∈ s.subchain, length l = n := (le_chainHeight_TFAE s n).out 0 1 #align set.le_chain_height_iff Set.le_chainHeight_iff theorem length_le_chainHeight_of_mem_subchain (hl : l ∈ s.subchain) : ↑l.length ≤ s.chainHeight := le_chainHeight_iff.mpr ⟨l, hl, rfl⟩ #align set.length_le_chain_height_of_mem_subchain Set.length_le_chainHeight_of_mem_subchain theorem chainHeight_eq_top_iff : s.chainHeight = ⊤ ↔ ∀ n, ∃ l ∈ s.subchain, length l = n := by refine ⟨fun h n ↦ le_chainHeight_iff.1 (le_top.trans_eq h.symm), fun h ↦ ?_⟩ contrapose! h; obtain ⟨n, hn⟩ := WithTop.ne_top_iff_exists.1 h exact ⟨n + 1, fun l hs ↦ (Nat.lt_succ_iff.2 <| Nat.cast_le.1 <| (length_le_chainHeight_of_mem_subchain hs).trans_eq hn.symm).ne⟩ #align set.chain_height_eq_top_iff Set.chainHeight_eq_top_iff @[simp] theorem one_le_chainHeight_iff : 1 ≤ s.chainHeight ↔ s.Nonempty := by rw [← Nat.cast_one, Set.le_chainHeight_iff] simp only [length_eq_one, @and_comm (_ ∈ _), @eq_comm _ _ [_], exists_exists_eq_and, singleton_mem_subchain_iff, Set.Nonempty] #align set.one_le_chain_height_iff Set.one_le_chainHeight_iff @[simp]
Mathlib/Order/Height.lean
142
144
theorem chainHeight_eq_zero_iff : s.chainHeight = 0 ↔ s = ∅ := by
rw [← not_iff_not, ← Ne, ← ENat.one_le_iff_ne_zero, one_le_chainHeight_iff, nonempty_iff_ne_empty]
import Mathlib.LinearAlgebra.Isomorphisms import Mathlib.LinearAlgebra.Projection import Mathlib.Order.JordanHolder import Mathlib.Order.CompactlyGenerated.Intervals import Mathlib.LinearAlgebra.FiniteDimensional #align_import ring_theory.simple_module from "leanprover-community/mathlib"@"cce7f68a7eaadadf74c82bbac20721cdc03a1cc1" variable {ι : Type*} (R S : Type*) [Ring R] [Ring S] (M : Type*) [AddCommGroup M] [Module R M] abbrev IsSimpleModule := IsSimpleOrder (Submodule R M) #align is_simple_module IsSimpleModule abbrev IsSemisimpleModule := ComplementedLattice (Submodule R M) #align is_semisimple_module IsSemisimpleModule abbrev IsSemisimpleRing := IsSemisimpleModule R R theorem RingEquiv.isSemisimpleRing (e : R ≃+* S) [IsSemisimpleRing R] : IsSemisimpleRing S := (Submodule.orderIsoMapComap e.toSemilinearEquiv).complementedLattice -- Making this an instance causes the linter to complain of "dangerous instances" theorem IsSimpleModule.nontrivial [IsSimpleModule R M] : Nontrivial M := ⟨⟨0, by have h : (⊥ : Submodule R M) ≠ ⊤ := bot_ne_top contrapose! h ext x simp [Submodule.mem_bot, Submodule.mem_top, h x]⟩⟩ #align is_simple_module.nontrivial IsSimpleModule.nontrivial variable {m : Submodule R M} {N : Type*} [AddCommGroup N] [Module R N] {R S M} theorem LinearMap.isSimpleModule_iff_of_bijective [Module S N] {σ : R →+* S} [RingHomSurjective σ] (l : M →ₛₗ[σ] N) (hl : Function.Bijective l) : IsSimpleModule R M ↔ IsSimpleModule S N := (Submodule.orderIsoMapComapOfBijective l hl).isSimpleOrder_iff theorem IsSimpleModule.congr (l : M ≃ₗ[R] N) [IsSimpleModule R N] : IsSimpleModule R M := (Submodule.orderIsoMapComap l).isSimpleOrder #align is_simple_module.congr IsSimpleModule.congr theorem isSimpleModule_iff_isAtom : IsSimpleModule R m ↔ IsAtom m := by rw [← Set.isSimpleOrder_Iic_iff_isAtom] exact m.mapIic.isSimpleOrder_iff #align is_simple_module_iff_is_atom isSimpleModule_iff_isAtom theorem isSimpleModule_iff_isCoatom : IsSimpleModule R (M ⧸ m) ↔ IsCoatom m := by rw [← Set.isSimpleOrder_Ici_iff_isCoatom] apply OrderIso.isSimpleOrder_iff exact Submodule.comapMkQRelIso m #align is_simple_module_iff_is_coatom isSimpleModule_iff_isCoatom theorem covBy_iff_quot_is_simple {A B : Submodule R M} (hAB : A ≤ B) : A ⋖ B ↔ IsSimpleModule R (B ⧸ Submodule.comap B.subtype A) := by set f : Submodule R B ≃o Set.Iic B := B.mapIic with hf rw [covBy_iff_coatom_Iic hAB, isSimpleModule_iff_isCoatom, ← OrderIso.isCoatom_iff f, hf] simp [-OrderIso.isCoatom_iff, Submodule.map_comap_subtype, inf_eq_right.2 hAB] #align covby_iff_quot_is_simple covBy_iff_quot_is_simple namespace IsSimpleModule @[simp] theorem isAtom [IsSimpleModule R m] : IsAtom m := isSimpleModule_iff_isAtom.1 ‹_› #align is_simple_module.is_atom IsSimpleModule.isAtom variable [IsSimpleModule R M] (R) open LinearMap theorem span_singleton_eq_top {m : M} (hm : m ≠ 0) : Submodule.span R {m} = ⊤ := (eq_bot_or_eq_top _).resolve_left fun h ↦ hm (h.le <| Submodule.mem_span_singleton_self m) instance (S : Submodule R M) : S.IsPrincipal where principal' := by obtain rfl | rfl := eq_bot_or_eq_top S · exact ⟨0, Submodule.span_zero.symm⟩ have := IsSimpleModule.nontrivial R M have ⟨m, hm⟩ := exists_ne (0 : M) exact ⟨m, (span_singleton_eq_top R hm).symm⟩ theorem toSpanSingleton_surjective {m : M} (hm : m ≠ 0) : Function.Surjective (toSpanSingleton R M m) := by rw [← range_eq_top, ← span_singleton_eq_range, span_singleton_eq_top R hm]
Mathlib/RingTheory/SimpleModule.lean
129
132
theorem ker_toSpanSingleton_isMaximal {m : M} (hm : m ≠ 0) : Ideal.IsMaximal (ker (toSpanSingleton R M m)) := by
rw [Ideal.isMaximal_def, ← isSimpleModule_iff_isCoatom] exact congr (quotKerEquivOfSurjective _ <| toSpanSingleton_surjective R hm)
import Mathlib.LinearAlgebra.Ray import Mathlib.LinearAlgebra.Determinant #align_import linear_algebra.orientation from "leanprover-community/mathlib"@"0c1d80f5a86b36c1db32e021e8d19ae7809d5b79" noncomputable section section OrderedCommSemiring variable (R : Type*) [StrictOrderedCommSemiring R] variable (M : Type*) [AddCommMonoid M] [Module R M] variable {N : Type*} [AddCommMonoid N] [Module R N] variable (ι ι' : Type*) abbrev Orientation := Module.Ray R (M [⋀^ι]→ₗ[R] R) #align orientation Orientation class Module.Oriented where positiveOrientation : Orientation R M ι #align module.oriented Module.Oriented export Module.Oriented (positiveOrientation) variable {R M} def Orientation.map (e : M ≃ₗ[R] N) : Orientation R M ι ≃ Orientation R N ι := Module.Ray.map <| AlternatingMap.domLCongr R R ι R e #align orientation.map Orientation.map @[simp] theorem Orientation.map_apply (e : M ≃ₗ[R] N) (v : M [⋀^ι]→ₗ[R] R) (hv : v ≠ 0) : Orientation.map ι e (rayOfNeZero _ v hv) = rayOfNeZero _ (v.compLinearMap e.symm) (mt (v.compLinearEquiv_eq_zero_iff e.symm).mp hv) := rfl #align orientation.map_apply Orientation.map_apply @[simp] theorem Orientation.map_refl : (Orientation.map ι <| LinearEquiv.refl R M) = Equiv.refl _ := by rw [Orientation.map, AlternatingMap.domLCongr_refl, Module.Ray.map_refl] #align orientation.map_refl Orientation.map_refl @[simp] theorem Orientation.map_symm (e : M ≃ₗ[R] N) : (Orientation.map ι e).symm = Orientation.map ι e.symm := rfl #align orientation.map_symm Orientation.map_symm section Reindex variable (R M) {ι ι'} def Orientation.reindex (e : ι ≃ ι') : Orientation R M ι ≃ Orientation R M ι' := Module.Ray.map <| AlternatingMap.domDomCongrₗ R e #align orientation.reindex Orientation.reindex @[simp] theorem Orientation.reindex_apply (e : ι ≃ ι') (v : M [⋀^ι]→ₗ[R] R) (hv : v ≠ 0) : Orientation.reindex R M e (rayOfNeZero _ v hv) = rayOfNeZero _ (v.domDomCongr e) (mt (v.domDomCongr_eq_zero_iff e).mp hv) := rfl #align orientation.reindex_apply Orientation.reindex_apply @[simp]
Mathlib/LinearAlgebra/Orientation.lean
100
101
theorem Orientation.reindex_refl : (Orientation.reindex R M <| Equiv.refl ι) = Equiv.refl _ := by
rw [Orientation.reindex, AlternatingMap.domDomCongrₗ_refl, Module.Ray.map_refl]
import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic #align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "J" => o.rightAngleRotation def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V := LinearMap.isometryOfInner (Real.Angle.cos θ • LinearMap.id + Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by intro x y simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply, LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv, Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left, Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left, inner_add_right, inner_smul_right] linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq) #align orientation.rotation_aux Orientation.rotationAux @[simp] theorem rotationAux_apply (θ : Real.Angle) (x : V) : o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_aux_apply Orientation.rotationAux_apply def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V := LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ) (Real.Angle.cos θ • LinearMap.id - Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul, smul_add, smul_neg, smul_sub, mul_comm, sq] abel · simp) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, add_smul, smul_neg, smul_sub, smul_smul] ring_nf abel · simp) #align orientation.rotation Orientation.rotation theorem rotation_apply (θ : Real.Angle) (x : V) : o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_apply Orientation.rotation_apply theorem rotation_symm_apply (θ : Real.Angle) (x : V) : (o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x := rfl #align orientation.rotation_symm_apply Orientation.rotation_symm_apply theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) : (o.rotation θ).toLinearMap = Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx) !![θ.cos, -θ.sin; θ.sin, θ.cos] := by apply (o.basisRightAngleRotation x hx).ext intro i fin_cases i · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ] · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ, add_comm] #align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean
114
119
theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by
haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) rw [o.rotation_eq_matrix_toLin θ hx] simpa [sq] using θ.cos_sq_add_sin_sq
import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Data.Finset.Sym import Mathlib.Data.Matrix.Basic #align_import combinatorics.simple_graph.inc_matrix from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496" open Finset Matrix SimpleGraph Sym2 open Matrix namespace SimpleGraph variable (R : Type*) {α : Type*} (G : SimpleGraph α) noncomputable def incMatrix [Zero R] [One R] : Matrix α (Sym2 α) R := fun a => (G.incidenceSet a).indicator 1 #align simple_graph.inc_matrix SimpleGraph.incMatrix variable {R} theorem incMatrix_apply [Zero R] [One R] {a : α} {e : Sym2 α} : G.incMatrix R a e = (G.incidenceSet a).indicator 1 e := rfl #align simple_graph.inc_matrix_apply SimpleGraph.incMatrix_apply theorem incMatrix_apply' [Zero R] [One R] [DecidableEq α] [DecidableRel G.Adj] {a : α} {e : Sym2 α} : G.incMatrix R a e = if e ∈ G.incidenceSet a then 1 else 0 := by unfold incMatrix Set.indicator convert rfl #align simple_graph.inc_matrix_apply' SimpleGraph.incMatrix_apply' section MulZeroOneClass variable [MulZeroOneClass R] {a b : α} {e : Sym2 α}
Mathlib/Combinatorics/SimpleGraph/IncMatrix.lean
79
82
theorem incMatrix_apply_mul_incMatrix_apply : G.incMatrix R a e * G.incMatrix R b e = (G.incidenceSet a ∩ G.incidenceSet b).indicator 1 e := by
classical simp only [incMatrix, Set.indicator_apply, ite_zero_mul_ite_zero, Pi.one_apply, mul_one, Set.mem_inter_iff]
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.ConcreteCategory import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Limits.Shapes.Kernels universe w v u t r namespace CategoryTheory.Limits.Concrete attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort variable {C : Type u} [Category.{v} C] section Products section WidePushout open WidePushout open WidePushoutShape variable [ConcreteCategory.{v} C] theorem widePushout_exists_rep {B : C} {α : Type _} {X : α → C} (f : ∀ j : α, B ⟶ X j) [HasWidePushout.{v} B X f] [PreservesColimit (wideSpan B X f) (forget C)] (x : ↑(widePushout B X f)) : (∃ y : B, head f y = x) ∨ ∃ (i : α) (y : X i), ι f i y = x := by obtain ⟨_ | j, y, rfl⟩ := Concrete.colimit_exists_rep _ x · left use y rfl · right use j, y rfl #align category_theory.limits.concrete.wide_pushout_exists_rep CategoryTheory.Limits.Concrete.widePushout_exists_rep
Mathlib/CategoryTheory/Limits/Shapes/ConcreteCategory.lean
336
343
theorem widePushout_exists_rep' {B : C} {α : Type _} [Nonempty α] {X : α → C} (f : ∀ j : α, B ⟶ X j) [HasWidePushout.{v} B X f] [PreservesColimit (wideSpan B X f) (forget C)] (x : ↑(widePushout B X f)) : ∃ (i : α) (y : X i), ι f i y = x := by
rcases Concrete.widePushout_exists_rep f x with (⟨y, rfl⟩ | ⟨i, y, rfl⟩) · inhabit α use default, f _ y simp only [← arrow_ι _ default, comp_apply] · use i, y
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Set.Sigma #align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Multiset variable {ι : Type*} namespace Finset section SigmaLift variable {α β γ : ι → Type*} [DecidableEq ι] def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) : Finset (Sigma γ) := dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅ #align finset.sigma_lift Finset.sigmaLift
Mathlib/Data/Finset/Sigma.lean
156
173
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) (x : Sigma γ) : x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b obtain rfl | h := Decidable.eq_or_ne i j · constructor · simp_rw [sigmaLift] simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index, and_imp] rintro x hx rfl exact ⟨rfl, rfl, hx⟩ · rintro ⟨⟨⟩, ⟨⟩, hx⟩ rw [sigmaLift, dif_pos rfl, mem_map] exact ⟨_, hx, by simp [Sigma.ext_iff]⟩ · rw [sigmaLift, dif_neg h] refine iff_of_false (not_mem_empty _) ?_ rintro ⟨⟨⟩, ⟨⟩, _⟩ exact h rfl
import Mathlib.Algebra.Polynomial.Monic #align_import algebra.polynomial.big_operators from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722" open Finset open Multiset open Polynomial universe u w variable {R : Type u} {ι : Type w} namespace Polynomial variable (s : Finset ι) section Semiring variable {S : Type*} [Semiring S] set_option backward.isDefEq.lazyProjDelta false in -- See https://github.com/leanprover-community/mathlib4/issues/12535 theorem natDegree_list_sum_le (l : List S[X]) : natDegree l.sum ≤ (l.map natDegree).foldr max 0 := List.sum_le_foldr_max natDegree (by simp) natDegree_add_le _ #align polynomial.nat_degree_list_sum_le Polynomial.natDegree_list_sum_le theorem natDegree_multiset_sum_le (l : Multiset S[X]) : natDegree l.sum ≤ (l.map natDegree).foldr max max_left_comm 0 := Quotient.inductionOn l (by simpa using natDegree_list_sum_le) #align polynomial.nat_degree_multiset_sum_le Polynomial.natDegree_multiset_sum_le theorem natDegree_sum_le (f : ι → S[X]) : natDegree (∑ i ∈ s, f i) ≤ s.fold max 0 (natDegree ∘ f) := by simpa using natDegree_multiset_sum_le (s.val.map f) #align polynomial.nat_degree_sum_le Polynomial.natDegree_sum_le lemma natDegree_sum_le_of_forall_le {n : ℕ} (f : ι → S[X]) (h : ∀ i ∈ s, natDegree (f i) ≤ n) : natDegree (∑ i ∈ s, f i) ≤ n := le_trans (natDegree_sum_le s f) <| (Finset.fold_max_le n).mpr <| by simpa theorem degree_list_sum_le (l : List S[X]) : degree l.sum ≤ (l.map natDegree).maximum := by by_cases h : l.sum = 0 · simp [h] · rw [degree_eq_natDegree h] suffices (l.map natDegree).maximum = ((l.map natDegree).foldr max 0 : ℕ) by rw [this] simpa using natDegree_list_sum_le l rw [← List.foldr_max_of_ne_nil] · congr contrapose! h rw [List.map_eq_nil] at h simp [h] #align polynomial.degree_list_sum_le Polynomial.degree_list_sum_le
Mathlib/Algebra/Polynomial/BigOperators.lean
80
83
theorem natDegree_list_prod_le (l : List S[X]) : natDegree l.prod ≤ (l.map natDegree).sum := by
induction' l with hd tl IH · simp · simpa using natDegree_mul_le.trans (add_le_add_left IH _)
import Mathlib.AlgebraicTopology.SimplexCategory import Mathlib.CategoryTheory.Comma.Arrow import Mathlib.CategoryTheory.Limits.FunctorCategory import Mathlib.CategoryTheory.Opposites #align_import algebraic_topology.simplicial_object from "leanprover-community/mathlib"@"5ed51dc37c6b891b79314ee11a50adc2b1df6fd6" open Opposite open CategoryTheory open CategoryTheory.Limits universe v u v' u' namespace CategoryTheory variable (C : Type u) [Category.{v} C] -- porting note (#5171): removed @[nolint has_nonempty_instance] def SimplicialObject := SimplexCategoryᵒᵖ ⥤ C #align category_theory.simplicial_object CategoryTheory.SimplicialObject @[simps!] instance : Category (SimplicialObject C) := by dsimp only [SimplicialObject] infer_instance namespace SimplicialObject set_option quotPrecheck false in scoped[Simplicial] notation3:1000 X " _[" n "]" => (X : CategoryTheory.SimplicialObject _).obj (Opposite.op (SimplexCategory.mk n)) open Simplicial instance {J : Type v} [SmallCategory J] [HasLimitsOfShape J C] : HasLimitsOfShape J (SimplicialObject C) := by dsimp [SimplicialObject] infer_instance instance [HasLimits C] : HasLimits (SimplicialObject C) := ⟨inferInstance⟩ instance {J : Type v} [SmallCategory J] [HasColimitsOfShape J C] : HasColimitsOfShape J (SimplicialObject C) := by dsimp [SimplicialObject] infer_instance instance [HasColimits C] : HasColimits (SimplicialObject C) := ⟨inferInstance⟩ variable {C} -- Porting note (#10688): added to ease automation @[ext] lemma hom_ext {X Y : SimplicialObject C} (f g : X ⟶ Y) (h : ∀ (n : SimplexCategoryᵒᵖ), f.app n = g.app n) : f = g := NatTrans.ext _ _ (by ext; apply h) variable (X : SimplicialObject C) def δ {n} (i : Fin (n + 2)) : X _[n + 1] ⟶ X _[n] := X.map (SimplexCategory.δ i).op #align category_theory.simplicial_object.δ CategoryTheory.SimplicialObject.δ def σ {n} (i : Fin (n + 1)) : X _[n] ⟶ X _[n + 1] := X.map (SimplexCategory.σ i).op #align category_theory.simplicial_object.σ CategoryTheory.SimplicialObject.σ def eqToIso {n m : ℕ} (h : n = m) : X _[n] ≅ X _[m] := X.mapIso (CategoryTheory.eqToIso (by congr)) #align category_theory.simplicial_object.eq_to_iso CategoryTheory.SimplicialObject.eqToIso @[simp] theorem eqToIso_refl {n : ℕ} (h : n = n) : X.eqToIso h = Iso.refl _ := by ext simp [eqToIso] #align category_theory.simplicial_object.eq_to_iso_refl CategoryTheory.SimplicialObject.eqToIso_refl @[reassoc] theorem δ_comp_δ {n} {i j : Fin (n + 2)} (H : i ≤ j) : X.δ j.succ ≫ X.δ i = X.δ (Fin.castSucc i) ≫ X.δ j := by dsimp [δ] simp only [← X.map_comp, ← op_comp, SimplexCategory.δ_comp_δ H] #align category_theory.simplicial_object.δ_comp_δ CategoryTheory.SimplicialObject.δ_comp_δ @[reassoc]
Mathlib/AlgebraicTopology/SimplicialObject.lean
114
119
theorem δ_comp_δ' {n} {i : Fin (n + 2)} {j : Fin (n + 3)} (H : Fin.castSucc i < j) : X.δ j ≫ X.δ i = X.δ (Fin.castSucc i) ≫ X.δ (j.pred fun (hj : j = 0) => by simp [hj, Fin.not_lt_zero] at H) := by
dsimp [δ] simp only [← X.map_comp, ← op_comp, SimplexCategory.δ_comp_δ' H]
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.midpoint from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open AffineMap AffineEquiv section variable (R : Type*) {V V' P P' : Type*} [Ring R] [Invertible (2 : R)] [AddCommGroup V] [Module R V] [AddTorsor V P] [AddCommGroup V'] [Module R V'] [AddTorsor V' P'] def midpoint (x y : P) : P := lineMap x y (⅟ 2 : R) #align midpoint midpoint variable {R} {x y z : P} @[simp] theorem AffineMap.map_midpoint (f : P →ᵃ[R] P') (a b : P) : f (midpoint R a b) = midpoint R (f a) (f b) := f.apply_lineMap a b _ #align affine_map.map_midpoint AffineMap.map_midpoint @[simp] theorem AffineEquiv.map_midpoint (f : P ≃ᵃ[R] P') (a b : P) : f (midpoint R a b) = midpoint R (f a) (f b) := f.apply_lineMap a b _ #align affine_equiv.map_midpoint AffineEquiv.map_midpoint theorem AffineEquiv.pointReflection_midpoint_left (x y : P) : pointReflection R (midpoint R x y) x = y := by rw [midpoint, pointReflection_apply, lineMap_apply, vadd_vsub, vadd_vadd, ← add_smul, ← two_mul, mul_invOf_self, one_smul, vsub_vadd] #align affine_equiv.point_reflection_midpoint_left AffineEquiv.pointReflection_midpoint_left @[simp] -- Porting note: added variant with `Equiv.pointReflection` for `simp` theorem Equiv.pointReflection_midpoint_left (x y : P) : (Equiv.pointReflection (midpoint R x y)) x = y := by rw [midpoint, pointReflection_apply, lineMap_apply, vadd_vsub, vadd_vadd, ← add_smul, ← two_mul, mul_invOf_self, one_smul, vsub_vadd] theorem midpoint_comm (x y : P) : midpoint R x y = midpoint R y x := by rw [midpoint, ← lineMap_apply_one_sub, one_sub_invOf_two, midpoint] #align midpoint_comm midpoint_comm theorem AffineEquiv.pointReflection_midpoint_right (x y : P) : pointReflection R (midpoint R x y) y = x := by rw [midpoint_comm, AffineEquiv.pointReflection_midpoint_left] #align affine_equiv.point_reflection_midpoint_right AffineEquiv.pointReflection_midpoint_right @[simp] -- Porting note: added variant with `Equiv.pointReflection` for `simp` theorem Equiv.pointReflection_midpoint_right (x y : P) : (Equiv.pointReflection (midpoint R x y)) y = x := by rw [midpoint_comm, Equiv.pointReflection_midpoint_left] theorem midpoint_vsub_midpoint (p₁ p₂ p₃ p₄ : P) : midpoint R p₁ p₂ -ᵥ midpoint R p₃ p₄ = midpoint R (p₁ -ᵥ p₃) (p₂ -ᵥ p₄) := lineMap_vsub_lineMap _ _ _ _ _ #align midpoint_vsub_midpoint midpoint_vsub_midpoint theorem midpoint_vadd_midpoint (v v' : V) (p p' : P) : midpoint R v v' +ᵥ midpoint R p p' = midpoint R (v +ᵥ p) (v' +ᵥ p') := lineMap_vadd_lineMap _ _ _ _ _ #align midpoint_vadd_midpoint midpoint_vadd_midpoint theorem midpoint_eq_iff {x y z : P} : midpoint R x y = z ↔ pointReflection R z x = y := eq_comm.trans ((injective_pointReflection_left_of_module R x).eq_iff' (AffineEquiv.pointReflection_midpoint_left x y)).symm #align midpoint_eq_iff midpoint_eq_iff @[simp] theorem midpoint_pointReflection_left (x y : P) : midpoint R (Equiv.pointReflection x y) y = x := midpoint_eq_iff.2 <| Equiv.pointReflection_involutive _ _ @[simp] theorem midpoint_pointReflection_right (x y : P) : midpoint R y (Equiv.pointReflection x y) = x := midpoint_eq_iff.2 rfl @[simp] theorem midpoint_vsub_left (p₁ p₂ : P) : midpoint R p₁ p₂ -ᵥ p₁ = (⅟ 2 : R) • (p₂ -ᵥ p₁) := lineMap_vsub_left _ _ _ #align midpoint_vsub_left midpoint_vsub_left @[simp] theorem midpoint_vsub_right (p₁ p₂ : P) : midpoint R p₁ p₂ -ᵥ p₂ = (⅟ 2 : R) • (p₁ -ᵥ p₂) := by rw [midpoint_comm, midpoint_vsub_left] #align midpoint_vsub_right midpoint_vsub_right @[simp] theorem left_vsub_midpoint (p₁ p₂ : P) : p₁ -ᵥ midpoint R p₁ p₂ = (⅟ 2 : R) • (p₁ -ᵥ p₂) := left_vsub_lineMap _ _ _ #align left_vsub_midpoint left_vsub_midpoint @[simp]
Mathlib/LinearAlgebra/AffineSpace/Midpoint.lean
129
130
theorem right_vsub_midpoint (p₁ p₂ : P) : p₂ -ᵥ midpoint R p₁ p₂ = (⅟ 2 : R) • (p₂ -ᵥ p₁) := by
rw [midpoint_comm, left_vsub_midpoint]
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Topology.MetricSpace.IsometricSMul #align_import topology.metric_space.hausdorff_distance from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" noncomputable section open NNReal ENNReal Topology Set Filter Pointwise Bornology universe u v w variable {ι : Sort*} {α : Type u} {β : Type v} namespace EMetric section InfEdist variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] {x y : α} {s t : Set α} {Φ : α → β} def infEdist (x : α) (s : Set α) : ℝ≥0∞ := ⨅ y ∈ s, edist x y #align emetric.inf_edist EMetric.infEdist @[simp] theorem infEdist_empty : infEdist x ∅ = ∞ := iInf_emptyset #align emetric.inf_edist_empty EMetric.infEdist_empty theorem le_infEdist {d} : d ≤ infEdist x s ↔ ∀ y ∈ s, d ≤ edist x y := by simp only [infEdist, le_iInf_iff] #align emetric.le_inf_edist EMetric.le_infEdist @[simp] theorem infEdist_union : infEdist x (s ∪ t) = infEdist x s ⊓ infEdist x t := iInf_union #align emetric.inf_edist_union EMetric.infEdist_union @[simp] theorem infEdist_iUnion (f : ι → Set α) (x : α) : infEdist x (⋃ i, f i) = ⨅ i, infEdist x (f i) := iInf_iUnion f _ #align emetric.inf_edist_Union EMetric.infEdist_iUnion lemma infEdist_biUnion {ι : Type*} (f : ι → Set α) (I : Set ι) (x : α) : infEdist x (⋃ i ∈ I, f i) = ⨅ i ∈ I, infEdist x (f i) := by simp only [infEdist_iUnion] @[simp] theorem infEdist_singleton : infEdist x {y} = edist x y := iInf_singleton #align emetric.inf_edist_singleton EMetric.infEdist_singleton theorem infEdist_le_edist_of_mem (h : y ∈ s) : infEdist x s ≤ edist x y := iInf₂_le y h #align emetric.inf_edist_le_edist_of_mem EMetric.infEdist_le_edist_of_mem theorem infEdist_zero_of_mem (h : x ∈ s) : infEdist x s = 0 := nonpos_iff_eq_zero.1 <| @edist_self _ _ x ▸ infEdist_le_edist_of_mem h #align emetric.inf_edist_zero_of_mem EMetric.infEdist_zero_of_mem theorem infEdist_anti (h : s ⊆ t) : infEdist x t ≤ infEdist x s := iInf_le_iInf_of_subset h #align emetric.inf_edist_anti EMetric.infEdist_anti theorem infEdist_lt_iff {r : ℝ≥0∞} : infEdist x s < r ↔ ∃ y ∈ s, edist x y < r := by simp_rw [infEdist, iInf_lt_iff, exists_prop] #align emetric.inf_edist_lt_iff EMetric.infEdist_lt_iff
Mathlib/Topology/MetricSpace/HausdorffDistance.lean
126
130
theorem infEdist_le_infEdist_add_edist : infEdist x s ≤ infEdist y s + edist x y := calc ⨅ z ∈ s, edist x z ≤ ⨅ z ∈ s, edist y z + edist x y := iInf₂_mono fun z _ => (edist_triangle _ _ _).trans_eq (add_comm _ _) _ = (⨅ z ∈ s, edist y z) + edist x y := by
simp only [ENNReal.iInf_add]
import Mathlib.RingTheory.Ideal.IsPrimary import Mathlib.RingTheory.Localization.AtPrime import Mathlib.Order.Minimal #align_import ring_theory.ideal.minimal_prime from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" section variable {R S : Type*} [CommSemiring R] [CommSemiring S] (I J : Ideal R) protected def Ideal.minimalPrimes : Set (Ideal R) := minimals (· ≤ ·) { p | p.IsPrime ∧ I ≤ p } #align ideal.minimal_primes Ideal.minimalPrimes variable (R) in def minimalPrimes : Set (Ideal R) := Ideal.minimalPrimes ⊥ #align minimal_primes minimalPrimes lemma minimalPrimes_eq_minimals : minimalPrimes R = minimals (· ≤ ·) (setOf Ideal.IsPrime) := congr_arg (minimals (· ≤ ·)) (by simp) variable {I J} theorem Ideal.exists_minimalPrimes_le [J.IsPrime] (e : I ≤ J) : ∃ p ∈ I.minimalPrimes, p ≤ J := by suffices ∃ m ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ OrderDual.ofDual p }, OrderDual.toDual J ≤ m ∧ ∀ z ∈ { p : (Ideal R)ᵒᵈ | Ideal.IsPrime p ∧ I ≤ p }, m ≤ z → z = m by obtain ⟨p, h₁, h₂, h₃⟩ := this simp_rw [← @eq_comm _ p] at h₃ exact ⟨p, ⟨h₁, fun a b c => le_of_eq (h₃ a b c)⟩, h₂⟩ apply zorn_nonempty_partialOrder₀ swap · refine ⟨show J.IsPrime by infer_instance, e⟩ rintro (c : Set (Ideal R)) hc hc' J' hJ' refine ⟨OrderDual.toDual (sInf c), ⟨Ideal.sInf_isPrime_of_isChain ⟨J', hJ'⟩ hc'.symm fun x hx => (hc hx).1, ?_⟩, ?_⟩ · rw [OrderDual.ofDual_toDual, le_sInf_iff] exact fun _ hx => (hc hx).2 · rintro z hz rw [OrderDual.le_toDual] exact sInf_le hz #align ideal.exists_minimal_primes_le Ideal.exists_minimalPrimes_le @[simp] theorem Ideal.radical_minimalPrimes : I.radical.minimalPrimes = I.minimalPrimes := by rw [Ideal.minimalPrimes, Ideal.minimalPrimes] ext p refine ⟨?_, ?_⟩ <;> rintro ⟨⟨a, ha⟩, b⟩ · refine ⟨⟨a, a.radical_le_iff.1 ha⟩, ?_⟩ simp only [Set.mem_setOf_eq, and_imp] at * exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.2 h3) h4 · refine ⟨⟨a, a.radical_le_iff.2 ha⟩, ?_⟩ simp only [Set.mem_setOf_eq, and_imp] at * exact fun _ h2 h3 h4 => b h2 (h2.radical_le_iff.1 h3) h4 #align ideal.radical_minimal_primes Ideal.radical_minimalPrimes @[simp] theorem Ideal.sInf_minimalPrimes : sInf I.minimalPrimes = I.radical := by rw [I.radical_eq_sInf] apply le_antisymm · intro x hx rw [Ideal.mem_sInf] at hx ⊢ rintro J ⟨e, hJ⟩ obtain ⟨p, hp, hp'⟩ := Ideal.exists_minimalPrimes_le e exact hp' (hx hp) · apply sInf_le_sInf _ intro I hI exact hI.1.symm #align ideal.Inf_minimal_primes Ideal.sInf_minimalPrimes theorem Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective {f : R →+* S} (hf : Function.Injective f) (p) (H : p ∈ minimalPrimes R) : ∃ p' : Ideal S, p'.IsPrime ∧ p'.comap f = p := by have := H.1.1 have : Nontrivial (Localization (Submonoid.map f p.primeCompl)) := by refine ⟨⟨1, 0, ?_⟩⟩ convert (IsLocalization.map_injective_of_injective p.primeCompl (Localization.AtPrime p) (Localization <| p.primeCompl.map f) hf).ne one_ne_zero · rw [map_one] · rw [map_zero] obtain ⟨M, hM⟩ := Ideal.exists_maximal (Localization (Submonoid.map f p.primeCompl)) refine ⟨M.comap (algebraMap S <| Localization (Submonoid.map f p.primeCompl)), inferInstance, ?_⟩ rw [Ideal.comap_comap, ← @IsLocalization.map_comp _ _ _ _ _ _ _ _ Localization.isLocalization _ _ _ _ p.primeCompl.le_comap_map _ Localization.isLocalization, ← Ideal.comap_comap] suffices _ ≤ p by exact this.antisymm (H.2 ⟨inferInstance, bot_le⟩ this) intro x hx by_contra h apply hM.ne_top apply M.eq_top_of_isUnit_mem hx apply IsUnit.map apply IsLocalization.map_units _ (show p.primeCompl from ⟨x, h⟩) #align ideal.exists_comap_eq_of_mem_minimal_primes_of_injective Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective end section variable {R S : Type*} [CommRing R] [CommRing S] {I J : Ideal R}
Mathlib/RingTheory/Ideal/MinimalPrime.lean
134
164
theorem Ideal.exists_comap_eq_of_mem_minimalPrimes {I : Ideal S} (f : R →+* S) (p) (H : p ∈ (I.comap f).minimalPrimes) : ∃ p' : Ideal S, p'.IsPrime ∧ I ≤ p' ∧ p'.comap f = p := by
have := H.1.1 let f' := (Ideal.Quotient.mk I).comp f have e : RingHom.ker f' = I.comap f := by ext1 exact Submodule.Quotient.mk_eq_zero _ have : RingHom.ker (Ideal.Quotient.mk <| RingHom.ker f') ≤ p := by rw [Ideal.mk_ker, e] exact H.1.2 suffices _ by have ⟨p', hp₁, hp₂⟩ := Ideal.exists_comap_eq_of_mem_minimalPrimes_of_injective (RingHom.kerLift_injective f') (p.map <| Ideal.Quotient.mk <| RingHom.ker f') this refine ⟨p'.comap <| Ideal.Quotient.mk I, Ideal.IsPrime.comap _, ?_, ?_⟩ · exact Ideal.mk_ker.symm.trans_le (Ideal.comap_mono bot_le) · convert congr_arg (Ideal.comap <| Ideal.Quotient.mk <| RingHom.ker f') hp₂ rwa [Ideal.comap_map_of_surjective (Ideal.Quotient.mk <| RingHom.ker f') Ideal.Quotient.mk_surjective, eq_comm, sup_eq_left] refine ⟨⟨?_, bot_le⟩, ?_⟩ · apply Ideal.map_isPrime_of_surjective _ this exact Ideal.Quotient.mk_surjective · rintro q ⟨hq, -⟩ hq' rw [← Ideal.map_comap_of_surjective (Ideal.Quotient.mk (RingHom.ker ((Ideal.Quotient.mk I).comp f))) Ideal.Quotient.mk_surjective q] apply Ideal.map_mono apply H.2 · refine ⟨inferInstance, (Ideal.mk_ker.trans e).symm.trans_le (Ideal.comap_mono bot_le)⟩ · refine (Ideal.comap_mono hq').trans ?_ rw [Ideal.comap_map_of_surjective] exacts [sup_le rfl.le this, Ideal.Quotient.mk_surjective]
import Mathlib.Topology.Connected.Basic open Set Function universe u v variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α] {s t u v : Set α} section TotallyDisconnected def IsTotallyDisconnected (s : Set α) : Prop := ∀ t, t ⊆ s → IsPreconnected t → t.Subsingleton #align is_totally_disconnected IsTotallyDisconnected theorem isTotallyDisconnected_empty : IsTotallyDisconnected (∅ : Set α) := fun _ ht _ _ x_in _ _ => (ht x_in).elim #align is_totally_disconnected_empty isTotallyDisconnected_empty theorem isTotallyDisconnected_singleton {x} : IsTotallyDisconnected ({x} : Set α) := fun _ ht _ => subsingleton_singleton.anti ht #align is_totally_disconnected_singleton isTotallyDisconnected_singleton @[mk_iff] class TotallyDisconnectedSpace (α : Type u) [TopologicalSpace α] : Prop where isTotallyDisconnected_univ : IsTotallyDisconnected (univ : Set α) #align totally_disconnected_space TotallyDisconnectedSpace theorem IsPreconnected.subsingleton [TotallyDisconnectedSpace α] {s : Set α} (h : IsPreconnected s) : s.Subsingleton := TotallyDisconnectedSpace.isTotallyDisconnected_univ s (subset_univ s) h #align is_preconnected.subsingleton IsPreconnected.subsingleton instance Pi.totallyDisconnectedSpace {α : Type*} {β : α → Type*} [∀ a, TopologicalSpace (β a)] [∀ a, TotallyDisconnectedSpace (β a)] : TotallyDisconnectedSpace (∀ a : α, β a) := ⟨fun t _ h2 => have this : ∀ a, IsPreconnected ((fun x : ∀ a, β a => x a) '' t) := fun a => h2.image (fun x => x a) (continuous_apply a).continuousOn fun x x_in y y_in => funext fun a => (this a).subsingleton ⟨x, x_in, rfl⟩ ⟨y, y_in, rfl⟩⟩ #align pi.totally_disconnected_space Pi.totallyDisconnectedSpace instance Prod.totallyDisconnectedSpace [TopologicalSpace β] [TotallyDisconnectedSpace α] [TotallyDisconnectedSpace β] : TotallyDisconnectedSpace (α × β) := ⟨fun t _ h2 => have H1 : IsPreconnected (Prod.fst '' t) := h2.image Prod.fst continuous_fst.continuousOn have H2 : IsPreconnected (Prod.snd '' t) := h2.image Prod.snd continuous_snd.continuousOn fun x hx y hy => Prod.ext (H1.subsingleton ⟨x, hx, rfl⟩ ⟨y, hy, rfl⟩) (H2.subsingleton ⟨x, hx, rfl⟩ ⟨y, hy, rfl⟩)⟩ #align prod.totally_disconnected_space Prod.totallyDisconnectedSpace instance [TopologicalSpace β] [TotallyDisconnectedSpace α] [TotallyDisconnectedSpace β] : TotallyDisconnectedSpace (Sum α β) := by refine ⟨fun s _ hs => ?_⟩ obtain ⟨t, ht, rfl⟩ | ⟨t, ht, rfl⟩ := Sum.isPreconnected_iff.1 hs · exact ht.subsingleton.image _ · exact ht.subsingleton.image _ instance [∀ i, TopologicalSpace (π i)] [∀ i, TotallyDisconnectedSpace (π i)] : TotallyDisconnectedSpace (Σi, π i) := by refine ⟨fun s _ hs => ?_⟩ obtain rfl | h := s.eq_empty_or_nonempty · exact subsingleton_empty · obtain ⟨a, t, ht, rfl⟩ := Sigma.isConnected_iff.1 ⟨h, hs⟩ exact ht.isPreconnected.subsingleton.image _ -- Porting note: reformulated using `Pairwise`
Mathlib/Topology/Connected/TotallyDisconnected.lean
93
104
theorem isTotallyDisconnected_of_isClopen_set {X : Type*} [TopologicalSpace X] (hX : Pairwise fun x y => ∃ (U : Set X), IsClopen U ∧ x ∈ U ∧ y ∉ U) : IsTotallyDisconnected (Set.univ : Set X) := by
rintro S - hS unfold Set.Subsingleton by_contra! h_contra rcases h_contra with ⟨x, hx, y, hy, hxy⟩ obtain ⟨U, hU, hxU, hyU⟩ := hX hxy specialize hS U Uᶜ hU.2 hU.compl.2 (fun a _ => em (a ∈ U)) ⟨x, hx, hxU⟩ ⟨y, hy, hyU⟩ rw [inter_compl_self, Set.inter_empty] at hS exact Set.not_nonempty_empty hS
import Mathlib.Data.List.Nodup #align_import data.list.dedup from "leanprover-community/mathlib"@"d9e96a3e3e0894e93e10aff5244f4c96655bac1c" universe u namespace List variable {α : Type u} [DecidableEq α] @[simp] theorem dedup_nil : dedup [] = ([] : List α) := rfl #align list.dedup_nil List.dedup_nil theorem dedup_cons_of_mem' {a : α} {l : List α} (h : a ∈ dedup l) : dedup (a :: l) = dedup l := pwFilter_cons_of_neg <| by simpa only [forall_mem_ne, not_not] using h #align list.dedup_cons_of_mem' List.dedup_cons_of_mem' theorem dedup_cons_of_not_mem' {a : α} {l : List α} (h : a ∉ dedup l) : dedup (a :: l) = a :: dedup l := pwFilter_cons_of_pos <| by simpa only [forall_mem_ne] using h #align list.dedup_cons_of_not_mem' List.dedup_cons_of_not_mem' @[simp] theorem mem_dedup {a : α} {l : List α} : a ∈ dedup l ↔ a ∈ l := by have := not_congr (@forall_mem_pwFilter α (· ≠ ·) _ ?_ a l) · simpa only [dedup, forall_mem_ne, not_not] using this · intros x y z xz exact not_and_or.1 <| mt (fun h ↦ h.1.trans h.2) xz #align list.mem_dedup List.mem_dedup @[simp] theorem dedup_cons_of_mem {a : α} {l : List α} (h : a ∈ l) : dedup (a :: l) = dedup l := dedup_cons_of_mem' <| mem_dedup.2 h #align list.dedup_cons_of_mem List.dedup_cons_of_mem @[simp] theorem dedup_cons_of_not_mem {a : α} {l : List α} (h : a ∉ l) : dedup (a :: l) = a :: dedup l := dedup_cons_of_not_mem' <| mt mem_dedup.1 h #align list.dedup_cons_of_not_mem List.dedup_cons_of_not_mem theorem dedup_sublist : ∀ l : List α, dedup l <+ l := pwFilter_sublist #align list.dedup_sublist List.dedup_sublist theorem dedup_subset : ∀ l : List α, dedup l ⊆ l := pwFilter_subset #align list.dedup_subset List.dedup_subset theorem subset_dedup (l : List α) : l ⊆ dedup l := fun _ => mem_dedup.2 #align list.subset_dedup List.subset_dedup theorem nodup_dedup : ∀ l : List α, Nodup (dedup l) := pairwise_pwFilter #align list.nodup_dedup List.nodup_dedup theorem headI_dedup [Inhabited α] (l : List α) : l.dedup.headI = if l.headI ∈ l.tail then l.tail.dedup.headI else l.headI := match l with | [] => rfl | a :: l => by by_cases ha : a ∈ l <;> simp [ha, List.dedup_cons_of_mem] #align list.head_dedup List.headI_dedup theorem tail_dedup [Inhabited α] (l : List α) : l.dedup.tail = if l.headI ∈ l.tail then l.tail.dedup.tail else l.tail.dedup := match l with | [] => rfl | a :: l => by by_cases ha : a ∈ l <;> simp [ha, List.dedup_cons_of_mem] #align list.tail_dedup List.tail_dedup theorem dedup_eq_self {l : List α} : dedup l = l ↔ Nodup l := pwFilter_eq_self #align list.dedup_eq_self List.dedup_eq_self theorem dedup_eq_cons (l : List α) (a : α) (l' : List α) : l.dedup = a :: l' ↔ a ∈ l ∧ a ∉ l' ∧ l.dedup.tail = l' := by refine ⟨fun h => ?_, fun h => ?_⟩ · refine ⟨mem_dedup.1 (h.symm ▸ mem_cons_self _ _), fun ha => ?_, by rw [h, tail_cons]⟩ have := count_pos_iff_mem.2 ha have : count a l.dedup ≤ 1 := nodup_iff_count_le_one.1 (nodup_dedup l) a rw [h, count_cons_self] at this omega · have := @List.cons_head!_tail α ⟨a⟩ _ (ne_nil_of_mem (mem_dedup.2 h.1)) have hal : a ∈ l.dedup := mem_dedup.2 h.1 rw [← this, mem_cons, or_iff_not_imp_right] at hal exact this ▸ h.2.2.symm ▸ cons_eq_cons.2 ⟨(hal (h.2.2.symm ▸ h.2.1)).symm, rfl⟩ #align list.dedup_eq_cons List.dedup_eq_cons @[simp] theorem dedup_eq_nil (l : List α) : l.dedup = [] ↔ l = [] := by induction' l with a l hl · exact Iff.rfl · by_cases h : a ∈ l · simp only [List.dedup_cons_of_mem h, hl, List.ne_nil_of_mem h] · simp only [List.dedup_cons_of_not_mem h, List.cons_ne_nil] #align list.dedup_eq_nil List.dedup_eq_nil protected theorem Nodup.dedup {l : List α} (h : l.Nodup) : l.dedup = l := List.dedup_eq_self.2 h #align list.nodup.dedup List.Nodup.dedup @[simp] theorem dedup_idem {l : List α} : dedup (dedup l) = dedup l := pwFilter_idem #align list.dedup_idempotent List.dedup_idem
Mathlib/Data/List/Dedup.lean
126
132
theorem dedup_append (l₁ l₂ : List α) : dedup (l₁ ++ l₂) = l₁ ∪ dedup l₂ := by
induction' l₁ with a l₁ IH; · rfl simp only [cons_union] at * rw [← IH, cons_append] by_cases h : a ∈ dedup (l₁ ++ l₂) · rw [dedup_cons_of_mem' h, insert_of_mem h] · rw [dedup_cons_of_not_mem' h, insert_of_not_mem h]
import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.degree.lemmas from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f" noncomputable section open Polynomial open Finsupp Finset namespace Polynomial universe u v w variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} section DivisionRing variable {K : Type*} [DivisionRing K] @[simp] theorem irreducible_mul_leadingCoeff_inv {p : K[X]} : Irreducible (p * C (leadingCoeff p)⁻¹) ↔ Irreducible p := by by_cases hp0 : p = 0 · simp [hp0] exact irreducible_mul_isUnit (isUnit_C.mpr (IsUnit.mk0 _ (inv_ne_zero (leadingCoeff_ne_zero.mpr hp0)))) @[simp] lemma dvd_mul_leadingCoeff_inv {p q : K[X]} (hp0 : p ≠ 0) : q ∣ p * C (leadingCoeff p)⁻¹ ↔ q ∣ p := IsUnit.dvd_mul_right <| isUnit_C.mpr <| IsUnit.mk0 _ <| inv_ne_zero <| leadingCoeff_ne_zero.mpr hp0
Mathlib/Algebra/Polynomial/Degree/Lemmas.lean
438
440
theorem monic_mul_leadingCoeff_inv {p : K[X]} (h : p ≠ 0) : Monic (p * C (leadingCoeff p)⁻¹) := by
rw [Monic, leadingCoeff_mul, leadingCoeff_C, mul_inv_cancel (show leadingCoeff p ≠ 0 from mt leadingCoeff_eq_zero.1 h)]
import Mathlib.Topology.MetricSpace.Algebra import Mathlib.Analysis.Normed.Field.Basic #align_import analysis.normed.mul_action from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" variable {α β : Type*} section SeminormedAddGroup variable [SeminormedAddGroup α] [SeminormedAddGroup β] [SMulZeroClass α β] variable [BoundedSMul α β]
Mathlib/Analysis/Normed/MulAction.lean
29
30
theorem norm_smul_le (r : α) (x : β) : ‖r • x‖ ≤ ‖r‖ * ‖x‖ := by
simpa [smul_zero] using dist_smul_pair r 0 x
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open Real RealInnerProductSpace namespace EuclideanGeometry open InnerProductGeometry variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {p p₀ p₁ p₂ : P} nonrec def angle (p1 p2 p3 : P) : ℝ := angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2) #align euclidean_geometry.angle EuclideanGeometry.angle @[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) : ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1) have hf1 : (f x).1 ≠ 0 := by simp [hx12] have hf2 : (f x).2 ≠ 0 := by simp [hx32] exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle @[simp]
Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean
61
64
theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂] [InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂] (f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by
simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map]
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.SesquilinearForm import Mathlib.LinearAlgebra.Matrix.Symmetric #align_import linear_algebra.quadratic_form.basic from "leanprover-community/mathlib"@"d11f435d4e34a6cea0a1797d6b625b0c170be845" universe u v w variable {S T : Type*} variable {R : Type*} {M N : Type*} open LinearMap (BilinForm) section Polar variable [CommRing R] [AddCommGroup M] namespace QuadraticForm def polar (f : M → R) (x y : M) := f (x + y) - f x - f y #align quadratic_form.polar QuadraticForm.polar
Mathlib/LinearAlgebra/QuadraticForm/Basic.lean
98
100
theorem polar_add (f g : M → R) (x y : M) : polar (f + g) x y = polar f x y + polar g x y := by
simp only [polar, Pi.add_apply] abel
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.GeomSum import Mathlib.LinearAlgebra.Matrix.Block import Mathlib.LinearAlgebra.Matrix.Determinant.Basic import Mathlib.LinearAlgebra.Matrix.Nondegenerate #align_import linear_algebra.vandermonde from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" variable {R : Type*} [CommRing R] open Equiv Finset open Matrix namespace Matrix def vandermonde {n : ℕ} (v : Fin n → R) : Matrix (Fin n) (Fin n) R := fun i j => v i ^ (j : ℕ) #align matrix.vandermonde Matrix.vandermonde @[simp] theorem vandermonde_apply {n : ℕ} (v : Fin n → R) (i j) : vandermonde v i j = v i ^ (j : ℕ) := rfl #align matrix.vandermonde_apply Matrix.vandermonde_apply @[simp] theorem vandermonde_cons {n : ℕ} (v0 : R) (v : Fin n → R) : vandermonde (Fin.cons v0 v : Fin n.succ → R) = Fin.cons (fun (j : Fin n.succ) => v0 ^ (j : ℕ)) fun i => Fin.cons 1 fun j => v i * vandermonde v i j := by ext i j refine Fin.cases (by simp) (fun i => ?_) i refine Fin.cases (by simp) (fun j => ?_) j simp [pow_succ'] #align matrix.vandermonde_cons Matrix.vandermonde_cons
Mathlib/LinearAlgebra/Vandermonde.lean
59
64
theorem vandermonde_succ {n : ℕ} (v : Fin n.succ → R) : vandermonde v = Fin.cons (fun (j : Fin n.succ) => v 0 ^ (j : ℕ)) fun i => Fin.cons 1 fun j => v i.succ * vandermonde (Fin.tail v) i j := by
conv_lhs => rw [← Fin.cons_self_tail v, vandermonde_cons] rfl
import Mathlib.NumberTheory.FLT.Basic import Mathlib.NumberTheory.PythagoreanTriples import Mathlib.RingTheory.Coprime.Lemmas import Mathlib.Tactic.LinearCombination #align_import number_theory.fermat4 from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" noncomputable section open scoped Classical def Fermat42 (a b c : ℤ) : Prop := a ≠ 0 ∧ b ≠ 0 ∧ a ^ 4 + b ^ 4 = c ^ 2 #align fermat_42 Fermat42 theorem Int.coprime_of_sq_sum {r s : ℤ} (h2 : IsCoprime s r) : IsCoprime (r ^ 2 + s ^ 2) r := by rw [sq, sq] exact (IsCoprime.mul_left h2 h2).mul_add_left_left r #align int.coprime_of_sq_sum Int.coprime_of_sq_sum
Mathlib/NumberTheory/FLT/Four.lean
159
162
theorem Int.coprime_of_sq_sum' {r s : ℤ} (h : IsCoprime r s) : IsCoprime (r ^ 2 + s ^ 2) (r * s) := by
apply IsCoprime.mul_right (Int.coprime_of_sq_sum (isCoprime_comm.mp h)) rw [add_comm]; apply Int.coprime_of_sq_sum h
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Eval import Mathlib.Algebra.Polynomial.Monic import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.Tactic.Abel #align_import ring_theory.polynomial.pochhammer from "leanprover-community/mathlib"@"53b216bcc1146df1c4a0a86877890ea9f1f01589" universe u v open Polynomial open Polynomial section Semiring variable (S : Type u) [Semiring S] noncomputable def ascPochhammer : ℕ → S[X] | 0 => 1 | n + 1 => X * (ascPochhammer n).comp (X + 1) #align pochhammer ascPochhammer @[simp] theorem ascPochhammer_zero : ascPochhammer S 0 = 1 := rfl #align pochhammer_zero ascPochhammer_zero @[simp] theorem ascPochhammer_one : ascPochhammer S 1 = X := by simp [ascPochhammer] #align pochhammer_one ascPochhammer_one
Mathlib/RingTheory/Polynomial/Pochhammer.lean
64
66
theorem ascPochhammer_succ_left (n : ℕ) : ascPochhammer S (n + 1) = X * (ascPochhammer S n).comp (X + 1) := by
rw [ascPochhammer]
import Mathlib.Topology.MetricSpace.HausdorffDistance import Mathlib.MeasureTheory.Constructions.BorelSpace.Order #align_import measure_theory.measure.regular from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf" open Set Filter ENNReal Topology NNReal TopologicalSpace namespace MeasureTheory namespace Measure def InnerRegularWRT {α} {_ : MeasurableSpace α} (μ : Measure α) (p q : Set α → Prop) := ∀ ⦃U⦄, q U → ∀ r < μ U, ∃ K, K ⊆ U ∧ p K ∧ r < μ K #align measure_theory.measure.inner_regular MeasureTheory.Measure.InnerRegularWRT variable {α β : Type*} [MeasurableSpace α] [TopologicalSpace α] {μ : Measure α} class OuterRegular (μ : Measure α) : Prop where protected outerRegular : ∀ ⦃A : Set α⦄, MeasurableSet A → ∀ r > μ A, ∃ U, U ⊇ A ∧ IsOpen U ∧ μ U < r #align measure_theory.measure.outer_regular MeasureTheory.Measure.OuterRegular #align measure_theory.measure.outer_regular.outer_regular MeasureTheory.Measure.OuterRegular.outerRegular class Regular (μ : Measure α) extends IsFiniteMeasureOnCompacts μ, OuterRegular μ : Prop where innerRegular : InnerRegularWRT μ IsCompact IsOpen #align measure_theory.measure.regular MeasureTheory.Measure.Regular class WeaklyRegular (μ : Measure α) extends OuterRegular μ : Prop where protected innerRegular : InnerRegularWRT μ IsClosed IsOpen #align measure_theory.measure.weakly_regular MeasureTheory.Measure.WeaklyRegular #align measure_theory.measure.weakly_regular.inner_regular MeasureTheory.Measure.WeaklyRegular.innerRegular class InnerRegular (μ : Measure α) : Prop where protected innerRegular : InnerRegularWRT μ IsCompact (fun s ↦ MeasurableSet s) class InnerRegularCompactLTTop (μ : Measure α) : Prop where protected innerRegular : InnerRegularWRT μ IsCompact (fun s ↦ MeasurableSet s ∧ μ s ≠ ∞) -- see Note [lower instance priority] instance (priority := 100) Regular.weaklyRegular [R1Space α] [Regular μ] : WeaklyRegular μ where innerRegular := fun _U hU r hr ↦ let ⟨K, KU, K_comp, hK⟩ := Regular.innerRegular hU r hr ⟨closure K, K_comp.closure_subset_of_isOpen hU KU, isClosed_closure, hK.trans_le (measure_mono subset_closure)⟩ #align measure_theory.measure.regular.weakly_regular MeasureTheory.Measure.Regular.weaklyRegular namespace OuterRegular instance zero : OuterRegular (0 : Measure α) := ⟨fun A _ _r hr => ⟨univ, subset_univ A, isOpen_univ, hr⟩⟩ #align measure_theory.measure.outer_regular.zero MeasureTheory.Measure.OuterRegular.zero theorem _root_.Set.exists_isOpen_lt_of_lt [OuterRegular μ] (A : Set α) (r : ℝ≥0∞) (hr : μ A < r) : ∃ U, U ⊇ A ∧ IsOpen U ∧ μ U < r := by rcases OuterRegular.outerRegular (measurableSet_toMeasurable μ A) r (by rwa [measure_toMeasurable]) with ⟨U, hAU, hUo, hU⟩ exact ⟨U, (subset_toMeasurable _ _).trans hAU, hUo, hU⟩ #align set.exists_is_open_lt_of_lt Set.exists_isOpen_lt_of_lt theorem _root_.Set.measure_eq_iInf_isOpen (A : Set α) (μ : Measure α) [OuterRegular μ] : μ A = ⨅ (U : Set α) (_ : A ⊆ U) (_ : IsOpen U), μ U := by refine le_antisymm (le_iInf₂ fun s hs => le_iInf fun _ => μ.mono hs) ?_ refine le_of_forall_lt' fun r hr => ?_ simpa only [iInf_lt_iff, exists_prop] using A.exists_isOpen_lt_of_lt r hr #align set.measure_eq_infi_is_open Set.measure_eq_iInf_isOpen theorem _root_.Set.exists_isOpen_lt_add [OuterRegular μ] (A : Set α) (hA : μ A ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ U, U ⊇ A ∧ IsOpen U ∧ μ U < μ A + ε := A.exists_isOpen_lt_of_lt _ (ENNReal.lt_add_right hA hε) #align set.exists_is_open_lt_add Set.exists_isOpen_lt_add theorem _root_.Set.exists_isOpen_le_add (A : Set α) (μ : Measure α) [OuterRegular μ] {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ U, U ⊇ A ∧ IsOpen U ∧ μ U ≤ μ A + ε := by rcases eq_or_ne (μ A) ∞ with (H | H) · exact ⟨univ, subset_univ _, isOpen_univ, by simp only [H, _root_.top_add, le_top]⟩ · rcases A.exists_isOpen_lt_add H hε with ⟨U, AU, U_open, hU⟩ exact ⟨U, AU, U_open, hU.le⟩ #align set.exists_is_open_le_add Set.exists_isOpen_le_add
Mathlib/MeasureTheory/Measure/Regular.lean
369
374
theorem _root_.MeasurableSet.exists_isOpen_diff_lt [OuterRegular μ] {A : Set α} (hA : MeasurableSet A) (hA' : μ A ≠ ∞) {ε : ℝ≥0∞} (hε : ε ≠ 0) : ∃ U, U ⊇ A ∧ IsOpen U ∧ μ U < ∞ ∧ μ (U \ A) < ε := by
rcases A.exists_isOpen_lt_add hA' hε with ⟨U, hAU, hUo, hU⟩ use U, hAU, hUo, hU.trans_le le_top exact measure_diff_lt_of_lt_add hA hAU hA' hU
import Mathlib.Order.Bounds.Basic import Mathlib.Order.Hom.Set #align_import order.bounds.order_iso from "leanprover-community/mathlib"@"a59dad53320b73ef180174aae867addd707ef00e" set_option autoImplicit true open Set namespace OrderIso variable [Preorder α] [Preorder β] (f : α ≃o β) theorem upperBounds_image {s : Set α} : upperBounds (f '' s) = f '' upperBounds s := Subset.antisymm (fun x hx => ⟨f.symm x, fun _ hy => f.le_symm_apply.2 (hx <| mem_image_of_mem _ hy), f.apply_symm_apply x⟩) f.monotone.image_upperBounds_subset_upperBounds_image #align order_iso.upper_bounds_image OrderIso.upperBounds_image theorem lowerBounds_image {s : Set α} : lowerBounds (f '' s) = f '' lowerBounds s := @upperBounds_image αᵒᵈ βᵒᵈ _ _ f.dual _ #align order_iso.lower_bounds_image OrderIso.lowerBounds_image -- Porting note: by simps were `fun _ _ => f.le_iff_le` and `fun _ _ => f.symm.le_iff_le` @[simp] theorem isLUB_image {s : Set α} {x : β} : IsLUB (f '' s) x ↔ IsLUB s (f.symm x) := ⟨fun h => IsLUB.of_image (by simp) ((f.apply_symm_apply x).symm ▸ h), fun h => (IsLUB.of_image (by simp)) <| (f.symm_image_image s).symm ▸ h⟩ #align order_iso.is_lub_image OrderIso.isLUB_image
Mathlib/Order/Bounds/OrderIso.lean
41
42
theorem isLUB_image' {s : Set α} {x : α} : IsLUB (f '' s) (f x) ↔ IsLUB s x := by
rw [isLUB_image, f.symm_apply_apply]
import Mathlib.Analysis.Fourier.FourierTransform import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.EuclideanDist import Mathlib.MeasureTheory.Function.ContinuousMapDense import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Integral.SetIntegral import Mathlib.MeasureTheory.Measure.Haar.NormedSpace import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import analysis.fourier.riemann_lebesgue_lemma from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open MeasureTheory Filter Complex Set FiniteDimensional open scoped Filter Topology Real ENNReal FourierTransform RealInnerProductSpace NNReal variable {E V : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] {f : V → E} section InnerProductSpace variable [NormedAddCommGroup V] [MeasurableSpace V] [BorelSpace V] [InnerProductSpace ℝ V] [FiniteDimensional ℝ V] #align fourier_integrand_integrable Real.fourierIntegral_convergent_iff variable [CompleteSpace E] local notation3 "i" => fun (w : V) => (1 / (2 * ‖w‖ ^ 2) : ℝ) • w
Mathlib/Analysis/Fourier/RiemannLebesgueLemma.lean
68
92
theorem fourierIntegral_half_period_translate {w : V} (hw : w ≠ 0) : (∫ v : V, 𝐞 (-⟪v, w⟫) • f (v + i w)) = -∫ v : V, 𝐞 (-⟪v, w⟫) • f v := by
have hiw : ⟪i w, w⟫ = 1 / 2 := by rw [inner_smul_left, inner_self_eq_norm_sq_to_K, RCLike.ofReal_real_eq_id, id, RCLike.conj_to_real, ← div_div, div_mul_cancel₀] rwa [Ne, sq_eq_zero_iff, norm_eq_zero] have : (fun v : V => 𝐞 (-⟪v, w⟫) • f (v + i w)) = fun v : V => (fun x : V => -(𝐞 (-⟪x, w⟫) • f x)) (v + i w) := by ext1 v simp_rw [inner_add_left, hiw, Submonoid.smul_def, Real.fourierChar_apply, neg_add, mul_add, ofReal_add, add_mul, exp_add] have : 2 * π * -(1 / 2) = -π := by field_simp; ring rw [this, ofReal_neg, neg_mul, exp_neg, exp_pi_mul_I, inv_neg, inv_one, mul_neg_one, neg_smul, neg_neg] rw [this] -- Porting note: -- The next three lines had just been -- rw [integral_add_right_eq_self (fun (x : V) ↦ -(𝐞[-⟪x, w⟫]) • f x) -- ((fun w ↦ (1 / (2 * ‖w‖ ^ (2 : ℕ))) • w) w)] -- Unfortunately now we need to specify `volume`. have := integral_add_right_eq_self (μ := volume) (fun (x : V) ↦ -(𝐞 (-⟪x, w⟫) • f x)) ((fun w ↦ (1 / (2 * ‖w‖ ^ (2 : ℕ))) • w) w) rw [this] simp only [neg_smul, integral_neg]
import Mathlib.AlgebraicTopology.DoldKan.Projections import Mathlib.CategoryTheory.Idempotents.FunctorCategories import Mathlib.CategoryTheory.Idempotents.FunctorExtension #align_import algebraic_topology.dold_kan.p_infty from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.SimplicialObject CategoryTheory.Idempotents Opposite Simplicial DoldKan namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X : SimplicialObject C}
Mathlib/AlgebraicTopology/DoldKan/PInfty.lean
36
42
theorem P_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((P (q + 1)).f n : X _[n] ⟶ _) = (P q).f n := by
rcases n with (_|n) · simp only [Nat.zero_eq, P_f_0_eq] · simp only [P_succ, add_right_eq_self, comp_add, HomologicalComplex.comp_f, HomologicalComplex.add_f_apply, comp_id] exact (HigherFacesVanish.of_P q n).comp_Hσ_eq_zero (Nat.succ_le_iff.mp hqn)
import Mathlib.Order.BooleanAlgebra import Mathlib.Tactic.Common #align_import order.heyting.boundary from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" variable {α : Type*} namespace Coheyting variable [CoheytingAlgebra α] {a b : α} def boundary (a : α) : α := a ⊓ ¬a #align coheyting.boundary Coheyting.boundary scoped[Heyting] prefix:120 "∂ " => Coheyting.boundary -- Porting note: Should the notation be automatically included in the current scope? open Heyting -- Porting note: Should hnot be named hNot? theorem inf_hnot_self (a : α) : a ⊓ ¬a = ∂ a := rfl #align coheyting.inf_hnot_self Coheyting.inf_hnot_self theorem boundary_le : ∂ a ≤ a := inf_le_left #align coheyting.boundary_le Coheyting.boundary_le theorem boundary_le_hnot : ∂ a ≤ ¬a := inf_le_right #align coheyting.boundary_le_hnot Coheyting.boundary_le_hnot @[simp] theorem boundary_bot : ∂ (⊥ : α) = ⊥ := bot_inf_eq _ #align coheyting.boundary_bot Coheyting.boundary_bot @[simp] theorem boundary_top : ∂ (⊤ : α) = ⊥ := by rw [boundary, hnot_top, inf_bot_eq] #align coheyting.boundary_top Coheyting.boundary_top theorem boundary_hnot_le (a : α) : ∂ (¬a) ≤ ∂ a := (inf_comm _ _).trans_le <| inf_le_inf_right _ hnot_hnot_le #align coheyting.boundary_hnot_le Coheyting.boundary_hnot_le @[simp] theorem boundary_hnot_hnot (a : α) : ∂ (¬¬a) = ∂ (¬a) := by simp_rw [boundary, hnot_hnot_hnot, inf_comm] #align coheyting.boundary_hnot_hnot Coheyting.boundary_hnot_hnot @[simp] theorem hnot_boundary (a : α) : ¬∂ a = ⊤ := by rw [boundary, hnot_inf_distrib, sup_hnot_self] #align coheyting.hnot_boundary Coheyting.hnot_boundary theorem boundary_inf (a b : α) : ∂ (a ⊓ b) = ∂ a ⊓ b ⊔ a ⊓ ∂ b := by unfold boundary rw [hnot_inf_distrib, inf_sup_left, inf_right_comm, ← inf_assoc] #align coheyting.boundary_inf Coheyting.boundary_inf theorem boundary_inf_le : ∂ (a ⊓ b) ≤ ∂ a ⊔ ∂ b := (boundary_inf _ _).trans_le <| sup_le_sup inf_le_left inf_le_right #align coheyting.boundary_inf_le Coheyting.boundary_inf_le theorem boundary_sup_le : ∂ (a ⊔ b) ≤ ∂ a ⊔ ∂ b := by rw [boundary, inf_sup_right] exact sup_le_sup (inf_le_inf_left _ <| hnot_anti le_sup_left) (inf_le_inf_left _ <| hnot_anti le_sup_right) #align coheyting.boundary_sup_le Coheyting.boundary_sup_le example (a b : Prop) : (a ∧ b ∨ ¬(a ∧ b)) ∧ ((a ∨ b) ∨ ¬(a ∨ b)) → a ∨ ¬a := by rintro ⟨⟨ha, _⟩ | hnab, (ha | hb) | hnab⟩ <;> try exact Or.inl ha · exact Or.inr fun ha => hnab ⟨ha, hb⟩ · exact Or.inr fun ha => hnab <| Or.inl ha theorem boundary_le_boundary_sup_sup_boundary_inf_left : ∂ a ≤ ∂ (a ⊔ b) ⊔ ∂ (a ⊓ b) := by -- Porting note: the following simp generates the same term as mathlib3 if you remove -- sup_inf_right from both. With sup_inf_right included, mathlib4 and mathlib3 generate -- different terms simp only [boundary, sup_inf_left, sup_inf_right, sup_right_idem, le_inf_iff, sup_assoc, sup_comm _ a] refine ⟨⟨⟨?_, ?_⟩, ⟨?_, ?_⟩⟩, ?_, ?_⟩ <;> try { exact le_sup_of_le_left inf_le_left } <;> refine inf_le_of_right_le ?_ · rw [hnot_le_iff_codisjoint_right, codisjoint_left_comm] exact codisjoint_hnot_left · refine le_sup_of_le_right ?_ rw [hnot_le_iff_codisjoint_right] exact codisjoint_hnot_right.mono_right (hnot_anti inf_le_left) #align coheyting.boundary_le_boundary_sup_sup_boundary_inf_left Coheyting.boundary_le_boundary_sup_sup_boundary_inf_left theorem boundary_le_boundary_sup_sup_boundary_inf_right : ∂ b ≤ ∂ (a ⊔ b) ⊔ ∂ (a ⊓ b) := by rw [sup_comm a, inf_comm] exact boundary_le_boundary_sup_sup_boundary_inf_left #align coheyting.boundary_le_boundary_sup_sup_boundary_inf_right Coheyting.boundary_le_boundary_sup_sup_boundary_inf_right theorem boundary_sup_sup_boundary_inf (a b : α) : ∂ (a ⊔ b) ⊔ ∂ (a ⊓ b) = ∂ a ⊔ ∂ b := le_antisymm (sup_le boundary_sup_le boundary_inf_le) <| sup_le boundary_le_boundary_sup_sup_boundary_inf_left boundary_le_boundary_sup_sup_boundary_inf_right #align coheyting.boundary_sup_sup_boundary_inf Coheyting.boundary_sup_sup_boundary_inf @[simp]
Mathlib/Order/Heyting/Boundary.lean
132
132
theorem boundary_idem (a : α) : ∂ ∂ a = ∂ a := by
rw [boundary, hnot_boundary, inf_top_eq]
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Integral.PeakFunction #align_import analysis.special_functions.trigonometric.euler_sine_prod from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open scoped Real Topology open Real Set Filter intervalIntegral MeasureTheory.MeasureSpace namespace EulerSine
Mathlib/Analysis/SpecialFunctions/Trigonometric/EulerSineProd.lean
278
295
theorem tendsto_integral_cos_pow_mul_div {f : ℝ → ℂ} (hf : ContinuousOn f (Icc 0 (π / 2))) : Tendsto (fun n : ℕ => (∫ x in (0 : ℝ)..π / 2, (cos x : ℂ) ^ n * f x) / (∫ x in (0 : ℝ)..π / 2, cos x ^ n : ℝ)) atTop (𝓝 <| f 0) := by
simp_rw [div_eq_inv_mul (α := ℂ), ← Complex.ofReal_inv, integral_of_le pi_div_two_pos.le, ← MeasureTheory.integral_Icc_eq_integral_Ioc, ← Complex.ofReal_pow, ← Complex.real_smul] have c_lt : ∀ y : ℝ, y ∈ Icc 0 (π / 2) → y ≠ 0 → cos y < cos 0 := fun y hy hy' => cos_lt_cos_of_nonneg_of_le_pi_div_two (le_refl 0) hy.2 (lt_of_le_of_ne hy.1 hy'.symm) have c_nonneg : ∀ x : ℝ, x ∈ Icc 0 (π / 2) → 0 ≤ cos x := fun x hx => cos_nonneg_of_mem_Icc ((Icc_subset_Icc_left (neg_nonpos_of_nonneg pi_div_two_pos.le)) hx) have c_zero_pos : 0 < cos 0 := by rw [cos_zero]; exact zero_lt_one have zero_mem : (0 : ℝ) ∈ closure (interior (Icc 0 (π / 2))) := by rw [interior_Icc, closure_Ioo pi_div_two_pos.ne, left_mem_Icc] exact pi_div_two_pos.le exact tendsto_setIntegral_pow_smul_of_unique_maximum_of_isCompact_of_continuousOn isCompact_Icc continuousOn_cos c_lt c_nonneg c_zero_pos zero_mem hf
import Mathlib.GroupTheory.Perm.Cycle.Concrete variable (α : Type*) [DecidableEq α] [Fintype α]
Mathlib/GroupTheory/Perm/Cycle/PossibleTypes.lean
21
74
theorem Equiv.Perm.exists_with_cycleType_iff {m : Multiset ℕ} : (∃ g : Equiv.Perm α, g.cycleType = m) ↔ (m.sum ≤ Fintype.card α ∧ ∀ a ∈ m, 2 ≤ a) := by
constructor · -- empty case intro h obtain ⟨g, hg⟩ := h constructor · rw [← hg, Equiv.Perm.sum_cycleType] exact (Equiv.Perm.support g).card_le_univ · intro a rw [← hg] exact Equiv.Perm.two_le_of_mem_cycleType · rintro ⟨hc, h2c⟩ have hc' : m.toList.sum ≤ Fintype.card α := by simp only [Multiset.sum_toList] exact hc obtain ⟨p, hp_length, hp_nodup, hp_disj⟩ := List.exists_pw_disjoint_with_card hc' use List.prod (List.map (fun l => List.formPerm l) p) have hp2 : ∀ x ∈ p, 2 ≤ x.length := by intro x hx apply h2c x.length rw [← Multiset.mem_toList, ← hp_length, List.mem_map] exact ⟨x, hx, rfl⟩ rw [Equiv.Perm.cycleType_eq _ rfl] · -- lengths rw [← Multiset.coe_toList m] apply congr_arg rw [List.map_map]; rw [← hp_length] apply List.map_congr intro x hx; simp only [Function.comp_apply] rw [List.support_formPerm_of_nodup x (hp_nodup x hx)] ·-- length rw [List.toFinset_card_of_nodup (hp_nodup x hx)] · -- length >= 1 intro a h apply Nat.not_succ_le_self 1 conv_rhs => rw [← List.length_singleton a]; rw [← h] exact hp2 x hx · -- cycles intro g rw [List.mem_map] rintro ⟨x, hx, rfl⟩ have hx_nodup : x.Nodup := hp_nodup x hx rw [← Cycle.formPerm_coe x hx_nodup] apply Cycle.isCycle_formPerm rw [Cycle.nontrivial_coe_nodup_iff hx_nodup] exact hp2 x hx · -- disjoint rw [List.pairwise_map] apply List.Pairwise.imp_of_mem _ hp_disj intro a b ha hb hab rw [List.formPerm_disjoint_iff (hp_nodup a ha) (hp_nodup b hb) (hp2 a ha) (hp2 b hb)] exact hab
import Mathlib.Topology.Instances.ENNReal #align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0" open Filter ENNReal namespace ENNReal variable {α : Type*} {f : Filter α} theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) : ∀ᶠ y in f, u y ≤ f.limsup u := _root_.eventually_le_limsup #align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} : f.limsup u = 0 ↔ u =ᶠ[f] 0 := limsup_eq_bot #align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) : (f.limsup fun x : α => a * u x) = a * f.limsup u := by by_cases ha_zero : a = 0 · simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero] exact limsup_const_bot let g := fun x : ℝ≥0∞ => a * x have hg_bij : Function.Bijective g := Function.bijective_iff_has_inverse.mpr ⟨fun x => a⁻¹ * x, ⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩ have hg_mono : StrictMono g := Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1 let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2 exact (OrderIso.limsup_apply g_iso).symm #align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} : f.limsup (a * u ·) = a * f.limsup u := by by_cases ha_top : a ≠ ⊤ · exact limsup_const_mul_of_ne_top ha_top push_neg at ha_top by_cases hu : u =ᶠ[f] 0 · have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx] simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero, limsup_const_bot] simp · have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by rw [EventuallyEq, not_eventually] at hu refine hu.mono fun x hx => ?_ rw [Pi.zero_apply] at hx simp [hx] have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ := eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul) have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu simp only [ha_top, top_mul', h_top_le, hfu, ite_false] #align ennreal.limsup_const_mul ENNReal.limsup_const_mul theorem limsup_mul_le [CountableInterFilter f] (u v : α → ℝ≥0∞) : f.limsup (u * v) ≤ f.limsup u * f.limsup v := calc f.limsup (u * v) ≤ f.limsup fun x => f.limsup u * v x := by refine limsup_le_limsup ?_ filter_upwards [@eventually_le_limsup _ f _ u] with x hx using mul_le_mul' hx le_rfl _ = f.limsup u * f.limsup v := limsup_const_mul #align ennreal.limsup_mul_le ENNReal.limsup_mul_le theorem limsup_add_le [CountableInterFilter f] (u v : α → ℝ≥0∞) : f.limsup (u + v) ≤ f.limsup u + f.limsup v := sInf_le ((eventually_le_limsup u).mp ((eventually_le_limsup v).mono fun _ hxg hxf => add_le_add hxf hxg)) #align ennreal.limsup_add_le ENNReal.limsup_add_le
Mathlib/Order/Filter/ENNReal.lean
86
93
theorem limsup_liminf_le_liminf_limsup {β} [Countable β] {f : Filter α} [CountableInterFilter f] {g : Filter β} (u : α → β → ℝ≥0∞) : (f.limsup fun a : α => g.liminf fun b : β => u a b) ≤ g.liminf fun b => f.limsup fun a => u a b := have h1 : ∀ᶠ a in f, ∀ b, u a b ≤ f.limsup fun a' => u a' b := by
rw [eventually_countable_forall] exact fun b => ENNReal.eventually_le_limsup fun a => u a b sInf_le <| h1.mono fun x hx => Filter.liminf_le_liminf (Filter.eventually_of_forall hx)
import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Data.Finset.Pointwise import Mathlib.Data.Finsupp.Indicator import Mathlib.Data.Fintype.BigOperators #align_import data.finset.finsupp from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" noncomputable section open Finsupp open scoped Classical open Pointwise variable {ι α : Type*} [Zero α] {s : Finset ι} {f : ι →₀ α} namespace Finset protected def finsupp (s : Finset ι) (t : ι → Finset α) : Finset (ι →₀ α) := (s.pi t).map ⟨indicator s, indicator_injective s⟩ #align finset.finsupp Finset.finsupp theorem mem_finsupp_iff {t : ι → Finset α} : f ∈ s.finsupp t ↔ f.support ⊆ s ∧ ∀ i ∈ s, f i ∈ t i := by refine mem_map.trans ⟨?_, ?_⟩ · rintro ⟨f, hf, rfl⟩ refine ⟨support_indicator_subset _ _, fun i hi => ?_⟩ convert mem_pi.1 hf i hi exact indicator_of_mem hi _ · refine fun h => ⟨fun i _ => f i, mem_pi.2 h.2, ?_⟩ ext i exact ite_eq_left_iff.2 fun hi => (not_mem_support_iff.1 fun H => hi <| h.1 H).symm #align finset.mem_finsupp_iff Finset.mem_finsupp_iff @[simp]
Mathlib/Data/Finset/Finsupp.lean
62
74
theorem mem_finsupp_iff_of_support_subset {t : ι →₀ Finset α} (ht : t.support ⊆ s) : f ∈ s.finsupp t ↔ ∀ i, f i ∈ t i := by
refine mem_finsupp_iff.trans (forall_and.symm.trans <| forall_congr' fun i => ⟨fun h => ?_, fun h => ⟨fun hi => ht <| mem_support_iff.2 fun H => mem_support_iff.1 hi ?_, fun _ => h⟩⟩) · by_cases hi : i ∈ s · exact h.2 hi · rw [not_mem_support_iff.1 (mt h.1 hi), not_mem_support_iff.1 fun H => hi <| ht H] exact zero_mem_zero · rwa [H, mem_zero] at h
import Mathlib.Algebra.Homology.Homotopy import Mathlib.Algebra.Homology.SingleHomology import Mathlib.CategoryTheory.Abelian.Homology #align_import algebra.homology.quasi_iso from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d" open CategoryTheory Limits universe v u variable {ι : Type*} section variable {V : Type u} [Category.{v} V] [HasZeroMorphisms V] [HasZeroObject V] variable [HasEqualizers V] [HasImages V] [HasImageMaps V] [HasCokernels V] variable {c : ComplexShape ι} {C D E : HomologicalComplex V c} class QuasiIso' (f : C ⟶ D) : Prop where isIso : ∀ i, IsIso ((homology'Functor V c i).map f) #align quasi_iso QuasiIso' attribute [instance] QuasiIso'.isIso instance (priority := 100) quasiIso'_of_iso (f : C ⟶ D) [IsIso f] : QuasiIso' f where isIso i := by change IsIso ((homology'Functor V c i).mapIso (asIso f)).hom infer_instance #align quasi_iso_of_iso quasiIso'_of_iso instance quasiIso'_comp (f : C ⟶ D) [QuasiIso' f] (g : D ⟶ E) [QuasiIso' g] : QuasiIso' (f ≫ g) where isIso i := by rw [Functor.map_comp] infer_instance #align quasi_iso_comp quasiIso'_comp theorem quasiIso'_of_comp_left (f : C ⟶ D) [QuasiIso' f] (g : D ⟶ E) [QuasiIso' (f ≫ g)] : QuasiIso' g := { isIso := fun i => IsIso.of_isIso_fac_left ((homology'Functor V c i).map_comp f g).symm } #align quasi_iso_of_comp_left quasiIso'_of_comp_left theorem quasiIso'_of_comp_right (f : C ⟶ D) (g : D ⟶ E) [QuasiIso' g] [QuasiIso' (f ≫ g)] : QuasiIso' f := { isIso := fun i => IsIso.of_isIso_fac_right ((homology'Functor V c i).map_comp f g).symm } #align quasi_iso_of_comp_right quasiIso'_of_comp_right namespace HomologicalComplex.Hom section ToSingle₀ variable {W : Type*} [Category W] [Abelian W] section variable {X : ChainComplex W ℕ} {Y : W} (f : X ⟶ (ChainComplex.single₀ _).obj Y) [hf : QuasiIso' f] noncomputable def toSingle₀CokernelAtZeroIso : cokernel (X.d 1 0) ≅ Y := X.homology'ZeroIso.symm.trans ((@asIso _ _ _ _ _ (hf.1 0)).trans ((ChainComplex.homology'Functor0Single₀ W).app Y)) #align homological_complex.hom.to_single₀_cokernel_at_zero_iso HomologicalComplex.Hom.toSingle₀CokernelAtZeroIso theorem toSingle₀CokernelAtZeroIso_hom_eq [hf : QuasiIso' f] : f.toSingle₀CokernelAtZeroIso.hom = cokernel.desc (X.d 1 0) (f.f 0) (by rw [← f.2 1 0 rfl]; exact comp_zero) := by ext dsimp only [toSingle₀CokernelAtZeroIso, ChainComplex.homology'ZeroIso, homology'OfZeroRight, homology'.mapIso, ChainComplex.homology'Functor0Single₀, cokernel.map] dsimp [asIso] simp only [cokernel.π_desc, Category.assoc, homology'.map_desc, cokernel.π_desc_assoc] simp [homology'.desc, Iso.refl_inv (X.X 0)] #align homological_complex.hom.to_single₀_cokernel_at_zero_iso_hom_eq HomologicalComplex.Hom.toSingle₀CokernelAtZeroIso_hom_eq
Mathlib/Algebra/Homology/QuasiIso.lean
122
127
theorem to_single₀_epi_at_zero [hf : QuasiIso' f] : Epi (f.f 0) := by
constructor intro Z g h Hgh rw [← cokernel.π_desc (X.d 1 0) (f.f 0) (by rw [← f.2 1 0 rfl]; exact comp_zero), ← toSingle₀CokernelAtZeroIso_hom_eq] at Hgh rw [(@cancel_epi _ _ _ _ _ _ (epi_comp _ _) _ _).1 Hgh]
import Mathlib.MeasureTheory.Measure.NullMeasurable import Mathlib.MeasureTheory.MeasurableSpace.Basic import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set open Filter hiding map open Function MeasurableSpace open scoped Classical symmDiff open Topology Filter ENNReal NNReal Interval MeasureTheory variable {α β γ δ ι R R' : Type*} namespace MeasureTheory section variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α} instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) := ⟨fun _s hs => let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs ⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩ #align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} : (∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by simp only [uIoc_eq_union, mem_union, or_imp, eventually_and] #align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ := measure_union₀ h.nullMeasurableSet hd.aedisjoint #align measure_theory.measure_union MeasureTheory.measure_union theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ := measure_union₀' h.nullMeasurableSet hd.aedisjoint #align measure_theory.measure_union' MeasureTheory.measure_union' theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s := measure_inter_add_diff₀ _ ht.nullMeasurableSet #align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s := (add_comm _ _).trans (measure_inter_add_diff s ht) #align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ← measure_inter_add_diff s ht] ac_rfl #align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) : μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm] #align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter' lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) : μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs) lemma measure_symmDiff_le (s t u : Set α) : μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) := le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u)) theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ := measure_add_measure_compl₀ h.nullMeasurableSet #align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by haveI := hs.toEncodable rw [biUnion_eq_iUnion] exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2 #align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀ theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f) (h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet #align measure_theory.measure_bUnion MeasureTheory.measure_biUnion
Mathlib/MeasureTheory/Measure/MeasureSpace.lean
165
167
theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ)) (h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h]
import Mathlib.Data.Fin.Tuple.Basic import Mathlib.Data.List.Join #align_import data.list.of_fn from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b" universe u variable {α : Type u} open Nat namespace List #noalign list.length_of_fn_aux @[simp] theorem length_ofFn_go {n} (f : Fin n → α) (i j h) : length (ofFn.go f i j h) = i := by induction i generalizing j <;> simp_all [ofFn.go] @[simp] theorem length_ofFn {n} (f : Fin n → α) : length (ofFn f) = n := by simp [ofFn, length_ofFn_go] #align list.length_of_fn List.length_ofFn #noalign list.nth_of_fn_aux theorem get_ofFn_go {n} (f : Fin n → α) (i j h) (k) (hk) : get (ofFn.go f i j h) ⟨k, hk⟩ = f ⟨j + k, by simp at hk; omega⟩ := by let i+1 := i cases k <;> simp [ofFn.go, get_ofFn_go (i := i)] congr 2; omega -- Porting note (#10756): new theorem @[simp] theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f (Fin.cast (by simp) i) := by cases i; simp [ofFn, get_ofFn_go] @[simp] theorem get?_ofFn {n} (f : Fin n → α) (i) : get? (ofFn f) i = ofFnNthVal f i := if h : i < (ofFn f).length then by rw [get?_eq_get h, get_ofFn] · simp only [length_ofFn] at h; simp [ofFnNthVal, h] else by rw [ofFnNthVal, dif_neg] <;> simpa using h #align list.nth_of_fn List.get?_ofFn set_option linter.deprecated false in @[deprecated get_ofFn (since := "2023-01-17")] theorem nthLe_ofFn {n} (f : Fin n → α) (i : Fin n) : nthLe (ofFn f) i ((length_ofFn f).symm ▸ i.2) = f i := by simp [nthLe] #align list.nth_le_of_fn List.nthLe_ofFn set_option linter.deprecated false in @[simp, deprecated get_ofFn (since := "2023-01-17")] theorem nthLe_ofFn' {n} (f : Fin n → α) {i : ℕ} (h : i < (ofFn f).length) : nthLe (ofFn f) i h = f ⟨i, length_ofFn f ▸ h⟩ := nthLe_ofFn f ⟨i, length_ofFn f ▸ h⟩ #align list.nth_le_of_fn' List.nthLe_ofFn' @[simp] theorem map_ofFn {β : Type*} {n : ℕ} (f : Fin n → α) (g : α → β) : map g (ofFn f) = ofFn (g ∘ f) := ext_get (by simp) fun i h h' => by simp #align list.map_of_fn List.map_ofFn -- Porting note: we don't have Array' in mathlib4 -- -- theorem array_eq_of_fn {n} (a : Array' n α) : a.toList = ofFn a.read := -- by -- suffices ∀ {m h l}, DArray.revIterateAux a (fun i => cons) m h l = -- ofFnAux (DArray.read a) m h l -- from this -- intros; induction' m with m IH generalizing l; · rfl -- simp only [DArray.revIterateAux, of_fn_aux, IH] -- #align list.array_eq_of_fn List.array_eq_of_fn @[congr] theorem ofFn_congr {m n : ℕ} (h : m = n) (f : Fin m → α) : ofFn f = ofFn fun i : Fin n => f (Fin.cast h.symm i) := by subst h simp_rw [Fin.cast_refl, id] #align list.of_fn_congr List.ofFn_congr @[simp] theorem ofFn_zero (f : Fin 0 → α) : ofFn f = [] := ext_get (by simp) (fun i hi₁ hi₂ => by contradiction) #align list.of_fn_zero List.ofFn_zero @[simp] theorem ofFn_succ {n} (f : Fin (succ n) → α) : ofFn f = f 0 :: ofFn fun i => f i.succ := ext_get (by simp) (fun i hi₁ hi₂ => by cases i · simp; rfl · simp) #align list.of_fn_succ List.ofFn_succ theorem ofFn_succ' {n} (f : Fin (succ n) → α) : ofFn f = (ofFn fun i => f (Fin.castSucc i)).concat (f (Fin.last _)) := by induction' n with n IH · rw [ofFn_zero, concat_nil, ofFn_succ, ofFn_zero] rfl · rw [ofFn_succ, IH, ofFn_succ, concat_cons, Fin.castSucc_zero] congr #align list.of_fn_succ' List.ofFn_succ' @[simp]
Mathlib/Data/List/OfFn.lean
135
136
theorem ofFn_eq_nil_iff {n : ℕ} {f : Fin n → α} : ofFn f = [] ↔ n = 0 := by
cases n <;> simp only [ofFn_zero, ofFn_succ, eq_self_iff_true, Nat.succ_ne_zero]
import Mathlib.RingTheory.MvPowerSeries.Basic import Mathlib.RingTheory.Ideal.LocalRing #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Finset (antidiagonal mem_antidiagonal) namespace MvPowerSeries open Finsupp variable {σ R : Type*} section Ring variable [Ring R] protected noncomputable def inv.aux (a : R) (φ : MvPowerSeries σ R) : MvPowerSeries σ R | n => letI := Classical.decEq σ if n = 0 then a else -a * ∑ x ∈ antidiagonal n, if _ : x.2 < n then coeff R x.1 φ * inv.aux a φ x.2 else 0 termination_by n => n #align mv_power_series.inv.aux MvPowerSeries.inv.aux theorem coeff_inv_aux [DecidableEq σ] (n : σ →₀ ℕ) (a : R) (φ : MvPowerSeries σ R) : coeff R n (inv.aux a φ) = if n = 0 then a else -a * ∑ x ∈ antidiagonal n, if x.2 < n then coeff R x.1 φ * coeff R x.2 (inv.aux a φ) else 0 := show inv.aux a φ n = _ by cases Subsingleton.elim ‹DecidableEq σ› (Classical.decEq σ) rw [inv.aux] rfl #align mv_power_series.coeff_inv_aux MvPowerSeries.coeff_inv_aux def invOfUnit (φ : MvPowerSeries σ R) (u : Rˣ) : MvPowerSeries σ R := inv.aux (↑u⁻¹) φ #align mv_power_series.inv_of_unit MvPowerSeries.invOfUnit
Mathlib/RingTheory/MvPowerSeries/Inverse.lean
90
97
theorem coeff_invOfUnit [DecidableEq σ] (n : σ →₀ ℕ) (φ : MvPowerSeries σ R) (u : Rˣ) : coeff R n (invOfUnit φ u) = if n = 0 then ↑u⁻¹ else -↑u⁻¹ * ∑ x ∈ antidiagonal n, if x.2 < n then coeff R x.1 φ * coeff R x.2 (invOfUnit φ u) else 0 := by
convert coeff_inv_aux n (↑u⁻¹) φ
import Mathlib.Analysis.NormedSpace.lpSpace import Mathlib.Topology.Sets.Compacts #align_import topology.metric_space.kuratowski from "leanprover-community/mathlib"@"95d4f6586d313c8c28e00f36621d2a6a66893aa6" noncomputable section set_option linter.uppercaseLean3 false open Set Metric TopologicalSpace NNReal ENNReal lp Function universe u v w variable {α : Type u} {β : Type v} {γ : Type w} namespace KuratowskiEmbedding variable {f g : ℓ^∞(ℕ)} {n : ℕ} {C : ℝ} [MetricSpace α] (x : ℕ → α) (a b : α) def embeddingOfSubset : ℓ^∞(ℕ) := ⟨fun n => dist a (x n) - dist (x 0) (x n), by apply memℓp_infty use dist a (x 0) rintro - ⟨n, rfl⟩ exact abs_dist_sub_le _ _ _⟩ #align Kuratowski_embedding.embedding_of_subset KuratowskiEmbedding.embeddingOfSubset theorem embeddingOfSubset_coe : embeddingOfSubset x a n = dist a (x n) - dist (x 0) (x n) := rfl #align Kuratowski_embedding.embedding_of_subset_coe KuratowskiEmbedding.embeddingOfSubset_coe theorem embeddingOfSubset_dist_le (a b : α) : dist (embeddingOfSubset x a) (embeddingOfSubset x b) ≤ dist a b := by refine lp.norm_le_of_forall_le dist_nonneg fun n => ?_ simp only [lp.coeFn_sub, Pi.sub_apply, embeddingOfSubset_coe, Real.dist_eq] convert abs_dist_sub_le a b (x n) using 2 ring #align Kuratowski_embedding.embedding_of_subset_dist_le KuratowskiEmbedding.embeddingOfSubset_dist_le
Mathlib/Topology/MetricSpace/Kuratowski.lean
61
87
theorem embeddingOfSubset_isometry (H : DenseRange x) : Isometry (embeddingOfSubset x) := by
refine Isometry.of_dist_eq fun a b => ?_ refine (embeddingOfSubset_dist_le x a b).antisymm (le_of_forall_pos_le_add fun e epos => ?_) -- First step: find n with dist a (x n) < e rcases Metric.mem_closure_range_iff.1 (H a) (e / 2) (half_pos epos) with ⟨n, hn⟩ -- Second step: use the norm control at index n to conclude have C : dist b (x n) - dist a (x n) = embeddingOfSubset x b n - embeddingOfSubset x a n := by simp only [embeddingOfSubset_coe, sub_sub_sub_cancel_right] have := calc dist a b ≤ dist a (x n) + dist (x n) b := dist_triangle _ _ _ _ = 2 * dist a (x n) + (dist b (x n) - dist a (x n)) := by simp [dist_comm]; ring _ ≤ 2 * dist a (x n) + |dist b (x n) - dist a (x n)| := by apply_rules [add_le_add_left, le_abs_self] _ ≤ 2 * (e / 2) + |embeddingOfSubset x b n - embeddingOfSubset x a n| := by rw [C] apply_rules [add_le_add, mul_le_mul_of_nonneg_left, hn.le, le_refl] norm_num _ ≤ 2 * (e / 2) + dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by have : |embeddingOfSubset x b n - embeddingOfSubset x a n| ≤ dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by simp only [dist_eq_norm] exact lp.norm_apply_le_norm ENNReal.top_ne_zero (embeddingOfSubset x b - embeddingOfSubset x a) n nlinarith _ = dist (embeddingOfSubset x b) (embeddingOfSubset x a) + e := by ring simpa [dist_comm] using this
import Mathlib.Topology.ContinuousFunction.Bounded import Mathlib.Topology.UniformSpace.Compact import Mathlib.Topology.CompactOpen import Mathlib.Topology.Sets.Compacts import Mathlib.Analysis.Normed.Group.InfiniteSum #align_import topology.continuous_function.compact from "leanprover-community/mathlib"@"d3af0609f6db8691dffdc3e1fb7feb7da72698f2" noncomputable section open scoped Classical open Topology NNReal BoundedContinuousFunction open Set Filter Metric open BoundedContinuousFunction namespace ContinuousMap variable {α β E : Type*} [TopologicalSpace α] [CompactSpace α] [MetricSpace β] [NormedAddCommGroup E] section variable (α β) @[simps (config := .asFn)] def equivBoundedOfCompact : C(α, β) ≃ (α →ᵇ β) := ⟨mkOfCompact, BoundedContinuousFunction.toContinuousMap, fun f => by ext rfl, fun f => by ext rfl⟩ #align continuous_map.equiv_bounded_of_compact ContinuousMap.equivBoundedOfCompact theorem uniformInducing_equivBoundedOfCompact : UniformInducing (equivBoundedOfCompact α β) := UniformInducing.mk' (by simp only [hasBasis_compactConvergenceUniformity.mem_iff, uniformity_basis_dist_le.mem_iff] exact fun s => ⟨fun ⟨⟨a, b⟩, ⟨_, ⟨ε, hε, hb⟩⟩, hs⟩ => ⟨{ p | ∀ x, (p.1 x, p.2 x) ∈ b }, ⟨ε, hε, fun _ h x => hb ((dist_le hε.le).mp h x)⟩, fun f g h => hs fun x _ => h x⟩, fun ⟨_, ⟨ε, hε, ht⟩, hs⟩ => ⟨⟨Set.univ, { p | dist p.1 p.2 ≤ ε }⟩, ⟨isCompact_univ, ⟨ε, hε, fun _ h => h⟩⟩, fun ⟨f, g⟩ h => hs _ _ (ht ((dist_le hε.le).mpr fun x => h x (mem_univ x)))⟩⟩) #align continuous_map.uniform_inducing_equiv_bounded_of_compact ContinuousMap.uniformInducing_equivBoundedOfCompact theorem uniformEmbedding_equivBoundedOfCompact : UniformEmbedding (equivBoundedOfCompact α β) := { uniformInducing_equivBoundedOfCompact α β with inj := (equivBoundedOfCompact α β).injective } #align continuous_map.uniform_embedding_equiv_bounded_of_compact ContinuousMap.uniformEmbedding_equivBoundedOfCompact -- Porting note: the following `simps` received a "maximum recursion depth" error -- @[simps! (config := .asFn) apply symm_apply] def addEquivBoundedOfCompact [AddMonoid β] [LipschitzAdd β] : C(α, β) ≃+ (α →ᵇ β) := ({ toContinuousMapAddHom α β, (equivBoundedOfCompact α β).symm with } : (α →ᵇ β) ≃+ C(α, β)).symm #align continuous_map.add_equiv_bounded_of_compact ContinuousMap.addEquivBoundedOfCompact -- Porting note: added this `simp` lemma manually because of the `simps` error above @[simp] theorem addEquivBoundedOfCompact_symm_apply [AddMonoid β] [LipschitzAdd β] : ⇑((addEquivBoundedOfCompact α β).symm) = toContinuousMapAddHom α β := rfl -- Porting note: added this `simp` lemma manually because of the `simps` error above @[simp] theorem addEquivBoundedOfCompact_apply [AddMonoid β] [LipschitzAdd β] : ⇑(addEquivBoundedOfCompact α β) = mkOfCompact := rfl instance metricSpace : MetricSpace C(α, β) := (uniformEmbedding_equivBoundedOfCompact α β).comapMetricSpace _ #align continuous_map.metric_space ContinuousMap.metricSpace @[simps! (config := .asFn) toEquiv apply symm_apply] def isometryEquivBoundedOfCompact : C(α, β) ≃ᵢ (α →ᵇ β) where isometry_toFun _ _ := rfl toEquiv := equivBoundedOfCompact α β #align continuous_map.isometry_equiv_bounded_of_compact ContinuousMap.isometryEquivBoundedOfCompact end @[simp] theorem _root_.BoundedContinuousFunction.dist_mkOfCompact (f g : C(α, β)) : dist (mkOfCompact f) (mkOfCompact g) = dist f g := rfl #align bounded_continuous_function.dist_mk_of_compact BoundedContinuousFunction.dist_mkOfCompact @[simp] theorem _root_.BoundedContinuousFunction.dist_toContinuousMap (f g : α →ᵇ β) : dist f.toContinuousMap g.toContinuousMap = dist f g := rfl #align bounded_continuous_function.dist_to_continuous_map BoundedContinuousFunction.dist_toContinuousMap open BoundedContinuousFunction section variable {f g : C(α, β)} {C : ℝ} theorem dist_apply_le_dist (x : α) : dist (f x) (g x) ≤ dist f g := by simp only [← dist_mkOfCompact, dist_coe_le_dist, ← mkOfCompact_apply] #align continuous_map.dist_apply_le_dist ContinuousMap.dist_apply_le_dist
Mathlib/Topology/ContinuousFunction/Compact.lean
137
138
theorem dist_le (C0 : (0 : ℝ) ≤ C) : dist f g ≤ C ↔ ∀ x : α, dist (f x) (g x) ≤ C := by
simp only [← dist_mkOfCompact, BoundedContinuousFunction.dist_le C0, mkOfCompact_apply]
import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Data.List.Infix import Mathlib.Data.List.MinMax import Mathlib.Data.List.EditDistance.Defs set_option autoImplicit true variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
Mathlib/Data/List/EditDistance/Bounds.lean
26
56
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) : (suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with | nil => simp only [suffixLevenshtein_nil', levenshtein_nil_cons, List.minimum_singleton, WithTop.coe_le_coe] exact le_add_of_nonneg_left (by simp) | cons x xs ih => suffices (suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧ (suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧ (suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by simpa [suffixLevenshtein_eq_tails_map] refine ⟨?_, ?_, ?_⟩ · calc _ ≤ (suffixLevenshtein C xs ys).1.minimum := by simp [suffixLevenshtein_cons₁_fst, List.minimum_cons] _ ≤ ↑(levenshtein C xs (y :: ys)) := ih _ ≤ _ := by simp · calc (suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by simp [suffixLevenshtein_cons₁_fst, List.minimum_cons] _ ≤ _ := by simp · calc (suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons] apply min_le_of_right_le cases xs · simp [suffixLevenshtein_nil'] · simp [suffixLevenshtein_cons₁, List.minimum_cons] _ ≤ _ := by simp
import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import control.traversable.lemmas from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d" universe u open LawfulTraversable open Function hiding comp open Functor attribute [functor_norm] LawfulTraversable.naturality attribute [simp] LawfulTraversable.id_traverse namespace Traversable variable {t : Type u → Type u} variable [Traversable t] [LawfulTraversable t] variable (F G : Type u → Type u) variable [Applicative F] [LawfulApplicative F] variable [Applicative G] [LawfulApplicative G] variable {α β γ : Type u} variable (g : α → F β) variable (h : β → G γ) variable (f : β → γ) def PureTransformation : ApplicativeTransformation Id F where app := @pure F _ preserves_pure' x := rfl preserves_seq' f x := by simp only [map_pure, seq_pure] rfl #align traversable.pure_transformation Traversable.PureTransformation @[simp] theorem pureTransformation_apply {α} (x : id α) : PureTransformation F x = pure x := rfl #align traversable.pure_transformation_apply Traversable.pureTransformation_apply variable {F G} (x : t β) -- Porting note: need to specify `m/F/G := Id` because `id` no longer has a `Monad` instance theorem map_eq_traverse_id : map (f := t) f = traverse (m := Id) (pure ∘ f) := funext fun y => (traverse_eq_map_id f y).symm #align traversable.map_eq_traverse_id Traversable.map_eq_traverse_id theorem map_traverse (x : t α) : map f <$> traverse g x = traverse (map f ∘ g) x := by rw [map_eq_traverse_id f] refine (comp_traverse (pure ∘ f) g x).symm.trans ?_ congr; apply Comp.applicative_comp_id #align traversable.map_traverse Traversable.map_traverse theorem traverse_map (f : β → F γ) (g : α → β) (x : t α) : traverse f (g <$> x) = traverse (f ∘ g) x := by rw [@map_eq_traverse_id t _ _ _ _ g] refine (comp_traverse (G := Id) f (pure ∘ g) x).symm.trans ?_ congr; apply Comp.applicative_id_comp #align traversable.traverse_map Traversable.traverse_map theorem pure_traverse (x : t α) : traverse pure x = (pure x : F (t α)) := by have : traverse pure x = pure (traverse (m := Id) pure x) := (naturality (PureTransformation F) pure x).symm rwa [id_traverse] at this #align traversable.pure_traverse Traversable.pure_traverse theorem id_sequence (x : t α) : sequence (f := Id) (pure <$> x) = pure x := by simp [sequence, traverse_map, id_traverse] #align traversable.id_sequence Traversable.id_sequence theorem comp_sequence (x : t (F (G α))) : sequence (Comp.mk <$> x) = Comp.mk (sequence <$> sequence x) := by simp only [sequence, traverse_map, id_comp]; rw [← comp_traverse]; simp [map_id] #align traversable.comp_sequence Traversable.comp_sequence theorem naturality' (η : ApplicativeTransformation F G) (x : t (F α)) : η (sequence x) = sequence (@η _ <$> x) := by simp [sequence, naturality, traverse_map] #align traversable.naturality' Traversable.naturality' @[functor_norm] theorem traverse_id : traverse pure = (pure : t α → Id (t α)) := by ext exact id_traverse _ #align traversable.traverse_id Traversable.traverse_id @[functor_norm] theorem traverse_comp (g : α → F β) (h : β → G γ) : traverse (Comp.mk ∘ map h ∘ g) = (Comp.mk ∘ map (traverse h) ∘ traverse g : t α → Comp F G (t γ)) := by ext exact comp_traverse _ _ _ #align traversable.traverse_comp Traversable.traverse_comp theorem traverse_eq_map_id' (f : β → γ) : traverse (m := Id) (pure ∘ f) = pure ∘ (map f : t β → t γ) := by ext exact traverse_eq_map_id _ _ #align traversable.traverse_eq_map_id' Traversable.traverse_eq_map_id' -- @[functor_norm] theorem traverse_map' (g : α → β) (h : β → G γ) : traverse (h ∘ g) = (traverse h ∘ map g : t α → G (t γ)) := by ext rw [comp_apply, traverse_map] #align traversable.traverse_map' Traversable.traverse_map' theorem map_traverse' (g : α → G β) (h : β → γ) : traverse (map h ∘ g) = (map (map h) ∘ traverse g : t α → G (t γ)) := by ext rw [comp_apply, map_traverse] #align traversable.map_traverse' Traversable.map_traverse'
Mathlib/Control/Traversable/Lemmas.lean
135
138
theorem naturality_pf (η : ApplicativeTransformation F G) (f : α → F β) : traverse (@η _ ∘ f) = @η _ ∘ (traverse f : t α → F (t β)) := by
ext rw [comp_apply, naturality]
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.NormedSpace.FiniteDimension #align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section universe uD uE uF uG variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D] [NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G] section FiniteDimensional open Function FiniteDimensional variable [CompleteSpace 𝕜] theorem contDiffOn_clm_apply {n : ℕ∞} {f : E → F →L[𝕜] G} {s : Set E} [FiniteDimensional 𝕜 F] : ContDiffOn 𝕜 n f s ↔ ∀ y, ContDiffOn 𝕜 n (fun x => f x y) s := by refine ⟨fun h y => h.clm_apply contDiffOn_const, fun h => ?_⟩ let d := finrank 𝕜 F have hd : d = finrank 𝕜 (Fin d → 𝕜) := (finrank_fin_fun 𝕜).symm let e₁ := ContinuousLinearEquiv.ofFinrankEq hd let e₂ := (e₁.arrowCongr (1 : G ≃L[𝕜] G)).trans (ContinuousLinearEquiv.piRing (Fin d)) rw [← id_comp f, ← e₂.symm_comp_self] exact e₂.symm.contDiff.comp_contDiffOn (contDiffOn_pi.mpr fun i => h _) #align cont_diff_on_clm_apply contDiffOn_clm_apply theorem contDiff_clm_apply_iff {n : ℕ∞} {f : E → F →L[𝕜] G} [FiniteDimensional 𝕜 F] : ContDiff 𝕜 n f ↔ ∀ y, ContDiff 𝕜 n fun x => f x y := by simp_rw [← contDiffOn_univ, contDiffOn_clm_apply] #align cont_diff_clm_apply_iff contDiff_clm_apply_iff
Mathlib/Analysis/Calculus/ContDiff/FiniteDimension.lean
60
62
theorem contDiff_succ_iff_fderiv_apply [FiniteDimensional 𝕜 E] {n : ℕ} {f : E → F} : ContDiff 𝕜 (n + 1 : ℕ) f ↔ Differentiable 𝕜 f ∧ ∀ y, ContDiff 𝕜 n fun x => fderiv 𝕜 f x y := by
rw [contDiff_succ_iff_fderiv, contDiff_clm_apply_iff]
import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Data.Int.Log #align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {b x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def logb (b x : ℝ) : ℝ := log x / log b #align real.logb Real.logb theorem log_div_log : log x / log b = logb b x := rfl #align real.log_div_log Real.log_div_log @[simp] theorem logb_zero : logb b 0 = 0 := by simp [logb] #align real.logb_zero Real.logb_zero @[simp] theorem logb_one : logb b 1 = 0 := by simp [logb] #align real.logb_one Real.logb_one @[simp] lemma logb_self_eq_one (hb : 1 < b) : logb b b = 1 := div_self (log_pos hb).ne' lemma logb_self_eq_one_iff : logb b b = 1 ↔ b ≠ 0 ∧ b ≠ 1 ∧ b ≠ -1 := Iff.trans ⟨fun h h' => by simp [logb, h'] at h, div_self⟩ log_ne_zero @[simp] theorem logb_abs (x : ℝ) : logb b |x| = logb b x := by rw [logb, logb, log_abs] #align real.logb_abs Real.logb_abs @[simp] theorem logb_neg_eq_logb (x : ℝ) : logb b (-x) = logb b x := by rw [← logb_abs x, ← logb_abs (-x), abs_neg] #align real.logb_neg_eq_logb Real.logb_neg_eq_logb theorem logb_mul (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x * y) = logb b x + logb b y := by simp_rw [logb, log_mul hx hy, add_div] #align real.logb_mul Real.logb_mul theorem logb_div (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x / y) = logb b x - logb b y := by simp_rw [logb, log_div hx hy, sub_div] #align real.logb_div Real.logb_div @[simp] theorem logb_inv (x : ℝ) : logb b x⁻¹ = -logb b x := by simp [logb, neg_div] #align real.logb_inv Real.logb_inv theorem inv_logb (a b : ℝ) : (logb a b)⁻¹ = logb b a := by simp_rw [logb, inv_div] #align real.inv_logb Real.inv_logb theorem inv_logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : (logb (a * b) c)⁻¹ = (logb a c)⁻¹ + (logb b c)⁻¹ := by simp_rw [inv_logb]; exact logb_mul h₁ h₂ #align real.inv_logb_mul_base Real.inv_logb_mul_base theorem inv_logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : (logb (a / b) c)⁻¹ = (logb a c)⁻¹ - (logb b c)⁻¹ := by simp_rw [inv_logb]; exact logb_div h₁ h₂ #align real.inv_logb_div_base Real.inv_logb_div_base theorem logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : logb (a * b) c = ((logb a c)⁻¹ + (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_mul_base h₁ h₂ c, inv_inv] #align real.logb_mul_base Real.logb_mul_base theorem logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : logb (a / b) c = ((logb a c)⁻¹ - (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_div_base h₁ h₂ c, inv_inv] #align real.logb_div_base Real.logb_div_base theorem mul_logb {a b c : ℝ} (h₁ : b ≠ 0) (h₂ : b ≠ 1) (h₃ : b ≠ -1) : logb a b * logb b c = logb a c := by unfold logb rw [mul_comm, div_mul_div_cancel _ (log_ne_zero.mpr ⟨h₁, h₂, h₃⟩)] #align real.mul_logb Real.mul_logb theorem div_logb {a b c : ℝ} (h₁ : c ≠ 0) (h₂ : c ≠ 1) (h₃ : c ≠ -1) : logb a c / logb b c = logb a b := div_div_div_cancel_left' _ _ <| log_ne_zero.mpr ⟨h₁, h₂, h₃⟩ #align real.div_logb Real.div_logb theorem logb_rpow_eq_mul_logb_of_pos (hx : 0 < x) : logb b (x ^ y) = y * logb b x := by rw [logb, log_rpow hx, logb, mul_div_assoc] theorem logb_pow {k : ℕ} (hx : 0 < x) : logb b (x ^ k) = k * logb b x := by rw [← rpow_natCast, logb_rpow_eq_mul_logb_of_pos hx] section BPosAndNeOne variable (b_pos : 0 < b) (b_ne_one : b ≠ 1) private theorem log_b_ne_zero : log b ≠ 0 := by have b_ne_zero : b ≠ 0 := by linarith have b_ne_minus_one : b ≠ -1 := by linarith simp [b_ne_one, b_ne_zero, b_ne_minus_one] @[simp] theorem logb_rpow : logb b (b ^ x) = x := by rw [logb, div_eq_iff, log_rpow b_pos] exact log_b_ne_zero b_pos b_ne_one #align real.logb_rpow Real.logb_rpow
Mathlib/Analysis/SpecialFunctions/Log/Base.lean
137
143
theorem rpow_logb_eq_abs (hx : x ≠ 0) : b ^ logb b x = |x| := by
apply log_injOn_pos · simp only [Set.mem_Ioi] apply rpow_pos_of_pos b_pos · simp only [abs_pos, mem_Ioi, Ne, hx, not_false_iff] rw [log_rpow b_pos, logb, log_abs] field_simp [log_b_ne_zero b_pos b_ne_one]
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.RingTheory.Int.Basic import Mathlib.Tactic.Ring import Mathlib.Tactic.FieldSimp import Mathlib.Data.Int.NatPrime import Mathlib.Data.ZMod.Basic #align_import number_theory.pythagorean_triples from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" theorem sq_ne_two_fin_zmod_four (z : ZMod 4) : z * z ≠ 2 := by change Fin 4 at z fin_cases z <;> decide #align sq_ne_two_fin_zmod_four sq_ne_two_fin_zmod_four theorem Int.sq_ne_two_mod_four (z : ℤ) : z * z % 4 ≠ 2 := by suffices ¬z * z % (4 : ℕ) = 2 % (4 : ℕ) by exact this rw [← ZMod.intCast_eq_intCast_iff'] simpa using sq_ne_two_fin_zmod_four _ #align int.sq_ne_two_mod_four Int.sq_ne_two_mod_four noncomputable section open scoped Classical def PythagoreanTriple (x y z : ℤ) : Prop := x * x + y * y = z * z #align pythagorean_triple PythagoreanTriple theorem pythagoreanTriple_comm {x y z : ℤ} : PythagoreanTriple x y z ↔ PythagoreanTriple y x z := by delta PythagoreanTriple rw [add_comm] #align pythagorean_triple_comm pythagoreanTriple_comm theorem PythagoreanTriple.zero : PythagoreanTriple 0 0 0 := by simp only [PythagoreanTriple, zero_mul, zero_add] #align pythagorean_triple.zero PythagoreanTriple.zero namespace PythagoreanTriple variable {x y z : ℤ} (h : PythagoreanTriple x y z) theorem eq : x * x + y * y = z * z := h #align pythagorean_triple.eq PythagoreanTriple.eq @[symm] theorem symm : PythagoreanTriple y x z := by rwa [pythagoreanTriple_comm] #align pythagorean_triple.symm PythagoreanTriple.symm
Mathlib/NumberTheory/PythagoreanTriples.lean
78
82
theorem mul (k : ℤ) : PythagoreanTriple (k * x) (k * y) (k * z) := calc k * x * (k * x) + k * y * (k * y) = k ^ 2 * (x * x + y * y) := by
ring _ = k ^ 2 * (z * z) := by rw [h.eq] _ = k * z * (k * z) := by ring
import Mathlib.Data.List.Nodup #align_import data.list.duplicate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" variable {α : Type*} namespace List inductive Duplicate (x : α) : List α → Prop | cons_mem {l : List α} : x ∈ l → Duplicate x (x :: l) | cons_duplicate {y : α} {l : List α} : Duplicate x l → Duplicate x (y :: l) #align list.duplicate List.Duplicate local infixl:50 " ∈+ " => List.Duplicate variable {l : List α} {x : α} theorem Mem.duplicate_cons_self (h : x ∈ l) : x ∈+ x :: l := Duplicate.cons_mem h #align list.mem.duplicate_cons_self List.Mem.duplicate_cons_self theorem Duplicate.duplicate_cons (h : x ∈+ l) (y : α) : x ∈+ y :: l := Duplicate.cons_duplicate h #align list.duplicate.duplicate_cons List.Duplicate.duplicate_cons theorem Duplicate.mem (h : x ∈+ l) : x ∈ l := by induction' h with l' _ y l' _ hm · exact mem_cons_self _ _ · exact mem_cons_of_mem _ hm #align list.duplicate.mem List.Duplicate.mem theorem Duplicate.mem_cons_self (h : x ∈+ x :: l) : x ∈ l := by cases' h with _ h _ _ h · exact h · exact h.mem #align list.duplicate.mem_cons_self List.Duplicate.mem_cons_self @[simp] theorem duplicate_cons_self_iff : x ∈+ x :: l ↔ x ∈ l := ⟨Duplicate.mem_cons_self, Mem.duplicate_cons_self⟩ #align list.duplicate_cons_self_iff List.duplicate_cons_self_iff theorem Duplicate.ne_nil (h : x ∈+ l) : l ≠ [] := fun H => (mem_nil_iff x).mp (H ▸ h.mem) #align list.duplicate.ne_nil List.Duplicate.ne_nil @[simp] theorem not_duplicate_nil (x : α) : ¬x ∈+ [] := fun H => H.ne_nil rfl #align list.not_duplicate_nil List.not_duplicate_nil theorem Duplicate.ne_singleton (h : x ∈+ l) (y : α) : l ≠ [y] := by induction' h with l' h z l' h _ · simp [ne_nil_of_mem h] · simp [ne_nil_of_mem h.mem] #align list.duplicate.ne_singleton List.Duplicate.ne_singleton @[simp] theorem not_duplicate_singleton (x y : α) : ¬x ∈+ [y] := fun H => H.ne_singleton _ rfl #align list.not_duplicate_singleton List.not_duplicate_singleton theorem Duplicate.elim_nil (h : x ∈+ []) : False := not_duplicate_nil x h #align list.duplicate.elim_nil List.Duplicate.elim_nil theorem Duplicate.elim_singleton {y : α} (h : x ∈+ [y]) : False := not_duplicate_singleton x y h #align list.duplicate.elim_singleton List.Duplicate.elim_singleton theorem duplicate_cons_iff {y : α} : x ∈+ y :: l ↔ y = x ∧ x ∈ l ∨ x ∈+ l := by refine ⟨fun h => ?_, fun h => ?_⟩ · cases' h with _ hm _ _ hm · exact Or.inl ⟨rfl, hm⟩ · exact Or.inr hm · rcases h with (⟨rfl | h⟩ | h) · simpa · exact h.cons_duplicate #align list.duplicate_cons_iff List.duplicate_cons_iff theorem Duplicate.of_duplicate_cons {y : α} (h : x ∈+ y :: l) (hx : x ≠ y) : x ∈+ l := by simpa [duplicate_cons_iff, hx.symm] using h #align list.duplicate.of_duplicate_cons List.Duplicate.of_duplicate_cons theorem duplicate_cons_iff_of_ne {y : α} (hne : x ≠ y) : x ∈+ y :: l ↔ x ∈+ l := by simp [duplicate_cons_iff, hne.symm] #align list.duplicate_cons_iff_of_ne List.duplicate_cons_iff_of_ne theorem Duplicate.mono_sublist {l' : List α} (hx : x ∈+ l) (h : l <+ l') : x ∈+ l' := by induction' h with l₁ l₂ y _ IH l₁ l₂ y h IH · exact hx · exact (IH hx).duplicate_cons _ · rw [duplicate_cons_iff] at hx ⊢ rcases hx with (⟨rfl, hx⟩ | hx) · simp [h.subset hx] · simp [IH hx] #align list.duplicate.mono_sublist List.Duplicate.mono_sublist
Mathlib/Data/List/Duplicate.lean
117
126
theorem duplicate_iff_sublist : x ∈+ l ↔ [x, x] <+ l := by
induction' l with y l IH · simp · by_cases hx : x = y · simp [hx, cons_sublist_cons, singleton_sublist] · rw [duplicate_cons_iff_of_ne hx, IH] refine ⟨sublist_cons_of_sublist y, fun h => ?_⟩ cases h · assumption · contradiction
import Mathlib.FieldTheory.Finite.Basic import Mathlib.Order.Filter.Cofinite #align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb" namespace Nat def ProbablePrime (n b : ℕ) : Prop := n ∣ b ^ (n - 1) - 1 #align fermat_psp.probable_prime Nat.ProbablePrime def FermatPsp (n b : ℕ) : Prop := ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n #align fermat_psp Nat.FermatPsp instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) := Nat.decidable_dvd _ _ #align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) := And.decidable #align fermat_psp.decidable_psp Nat.decidablePsp theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) : Nat.Coprime n b := by by_cases h₃ : 2 ≤ n · -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`, -- we can derive a contradiction if `n` divides `b`. apply Nat.coprime_of_dvd -- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and -- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis. rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩ -- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a -- contradiction apply Nat.Prime.not_dvd_one hk -- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1` replace h := dvd_of_mul_right_dvd h -- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`, -- then we know `k` divides 1. rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)] -- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it -- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we -- assumed `2 ≤ n` when doing `by_cases`. refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_) omega -- If `n = 1`, then it follows trivially that `n` is coprime with `b`. · rw [show n = 1 by omega] norm_num #align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) : ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1) -- For exact mod_cast rw [Nat.ModEq.comm] constructor · intro h₁ apply Nat.modEq_of_dvd exact mod_cast h₁ · intro h₁ exact mod_cast Nat.ModEq.dvd h₁ #align fermat_psp.probable_prime_iff_modeq Nat.probablePrime_iff_modEq theorem coprime_of_fermatPsp {n b : ℕ} (h : FermatPsp n b) (h₁ : 1 ≤ b) : Nat.Coprime n b := by rcases h with ⟨hp, _, hn₂⟩ exact coprime_of_probablePrime hp (by omega) h₁ #align fermat_psp.coprime_of_fermat_psp Nat.coprime_of_fermatPsp
Mathlib/NumberTheory/FermatPsp.lean
127
130
theorem fermatPsp_base_one {n : ℕ} (h₁ : 1 < n) (h₂ : ¬n.Prime) : FermatPsp n 1 := by
refine ⟨show n ∣ 1 ^ (n - 1) - 1 from ?_, h₂, h₁⟩ exact show 0 = 1 ^ (n - 1) - 1 by set_option tactic.skipAssignedInstances false in norm_num ▸ dvd_zero n
import Mathlib.Data.Set.Pairwise.Basic import Mathlib.Data.Set.Lattice import Mathlib.Order.SuccPred.Basic #align_import order.succ_pred.interval_succ from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" open Set Order variable {α β : Type*} [LinearOrder α] namespace Monotone
Mathlib/Order/SuccPred/IntervalSucc.lean
38
48
theorem biUnion_Ico_Ioc_map_succ [SuccOrder α] [IsSuccArchimedean α] [LinearOrder β] {f : α → β} (hf : Monotone f) (m n : α) : ⋃ i ∈ Ico m n, Ioc (f i) (f (succ i)) = Ioc (f m) (f n) := by
rcases le_total n m with hnm | hmn · rw [Ico_eq_empty_of_le hnm, Ioc_eq_empty_of_le (hf hnm), biUnion_empty] · refine Succ.rec ?_ ?_ hmn · simp only [Ioc_self, Ico_self, biUnion_empty] · intro k hmk ihk rw [← Ioc_union_Ioc_eq_Ioc (hf hmk) (hf <| le_succ _), union_comm, ← ihk] by_cases hk : IsMax k · rw [hk.succ_eq, Ioc_self, empty_union] · rw [Ico_succ_right_eq_insert_of_not_isMax hmk hk, biUnion_insert]
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section GeneralizedCoheytingAlgebra variable [GeneralizedCoheytingAlgebra α] (a b c d : α) @[simp] theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b := rfl #align to_dual_symm_diff toDual_symmDiff @[simp] theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b := rfl #align of_dual_bihimp ofDual_bihimp theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm] #align symm_diff_comm symmDiff_comm instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) := ⟨symmDiff_comm⟩ #align symm_diff_is_comm symmDiff_isCommutative @[simp] theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self] #align symm_diff_self symmDiff_self @[simp] theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq] #align symm_diff_bot symmDiff_bot @[simp] theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot] #align bot_symm_diff bot_symmDiff @[simp] theorem symmDiff_eq_bot {a b : α} : a ∆ b = ⊥ ↔ a = b := by simp_rw [symmDiff, sup_eq_bot_iff, sdiff_eq_bot_iff, le_antisymm_iff] #align symm_diff_eq_bot symmDiff_eq_bot theorem symmDiff_of_le {a b : α} (h : a ≤ b) : a ∆ b = b \ a := by rw [symmDiff, sdiff_eq_bot_iff.2 h, bot_sup_eq] #align symm_diff_of_le symmDiff_of_le
Mathlib/Order/SymmDiff.lean
141
142
theorem symmDiff_of_ge {a b : α} (h : b ≤ a) : a ∆ b = a \ b := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, sup_bot_eq]
import Mathlib.Order.ConditionallyCompleteLattice.Finset import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.lattice from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54" assert_not_exists MonoidWithZero open Set namespace Nat open scoped Classical noncomputable instance : InfSet ℕ := ⟨fun s ↦ if h : ∃ n, n ∈ s then @Nat.find (fun n ↦ n ∈ s) _ h else 0⟩ noncomputable instance : SupSet ℕ := ⟨fun s ↦ if h : ∃ n, ∀ a ∈ s, a ≤ n then @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h else 0⟩ theorem sInf_def {s : Set ℕ} (h : s.Nonempty) : sInf s = @Nat.find (fun n ↦ n ∈ s) _ h := dif_pos _ #align nat.Inf_def Nat.sInf_def theorem sSup_def {s : Set ℕ} (h : ∃ n, ∀ a ∈ s, a ≤ n) : sSup s = @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h := dif_pos _ #align nat.Sup_def Nat.sSup_def theorem _root_.Set.Infinite.Nat.sSup_eq_zero {s : Set ℕ} (h : s.Infinite) : sSup s = 0 := dif_neg fun ⟨n, hn⟩ ↦ let ⟨k, hks, hk⟩ := h.exists_gt n (hn k hks).not_lt hk #align set.infinite.nat.Sup_eq_zero Set.Infinite.Nat.sSup_eq_zero @[simp] theorem sInf_eq_zero {s : Set ℕ} : sInf s = 0 ↔ 0 ∈ s ∨ s = ∅ := by cases eq_empty_or_nonempty s with | inl h => subst h simp only [or_true_iff, eq_self_iff_true, iff_true_iff, iInf, InfSet.sInf, mem_empty_iff_false, exists_false, dif_neg, not_false_iff] | inr h => simp only [h.ne_empty, or_false_iff, Nat.sInf_def, h, Nat.find_eq_zero] #align nat.Inf_eq_zero Nat.sInf_eq_zero @[simp] theorem sInf_empty : sInf ∅ = 0 := by rw [sInf_eq_zero] right rfl #align nat.Inf_empty Nat.sInf_empty @[simp] theorem iInf_of_empty {ι : Sort*} [IsEmpty ι] (f : ι → ℕ) : iInf f = 0 := by rw [iInf_of_isEmpty, sInf_empty] #align nat.infi_of_empty Nat.iInf_of_empty @[simp] lemma iInf_const_zero {ι : Sort*} : ⨅ i : ι, 0 = 0 := (isEmpty_or_nonempty ι).elim (fun h ↦ by simp) fun h ↦ sInf_eq_zero.2 <| by simp theorem sInf_mem {s : Set ℕ} (h : s.Nonempty) : sInf s ∈ s := by rw [Nat.sInf_def h] exact Nat.find_spec h #align nat.Inf_mem Nat.sInf_mem theorem not_mem_of_lt_sInf {s : Set ℕ} {m : ℕ} (hm : m < sInf s) : m ∉ s := by cases eq_empty_or_nonempty s with | inl h => subst h; apply not_mem_empty | inr h => rw [Nat.sInf_def h] at hm; exact Nat.find_min h hm #align nat.not_mem_of_lt_Inf Nat.not_mem_of_lt_sInf protected theorem sInf_le {s : Set ℕ} {m : ℕ} (hm : m ∈ s) : sInf s ≤ m := by rw [Nat.sInf_def ⟨m, hm⟩] exact Nat.find_min' ⟨m, hm⟩ hm #align nat.Inf_le Nat.sInf_le
Mathlib/Data/Nat/Lattice.lean
91
98
theorem nonempty_of_pos_sInf {s : Set ℕ} (h : 0 < sInf s) : s.Nonempty := by
by_contra contra rw [Set.not_nonempty_iff_eq_empty] at contra have h' : sInf s ≠ 0 := ne_of_gt h apply h' rw [Nat.sInf_eq_zero] right assumption
import Mathlib.Analysis.Convex.Basic import Mathlib.Order.Closure #align_import analysis.convex.hull from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set open Pointwise variable {𝕜 E F : Type*} section convexHull section OrderedSemiring variable [OrderedSemiring 𝕜] section AddCommMonoid variable (𝕜) variable [AddCommMonoid E] [AddCommMonoid F] [Module 𝕜 E] [Module 𝕜 F] @[simps! isClosed] def convexHull : ClosureOperator (Set E) := .ofCompletePred (Convex 𝕜) fun _ ↦ convex_sInter #align convex_hull convexHull variable (s : Set E) theorem subset_convexHull : s ⊆ convexHull 𝕜 s := (convexHull 𝕜).le_closure s #align subset_convex_hull subset_convexHull theorem convex_convexHull : Convex 𝕜 (convexHull 𝕜 s) := (convexHull 𝕜).isClosed_closure s #align convex_convex_hull convex_convexHull theorem convexHull_eq_iInter : convexHull 𝕜 s = ⋂ (t : Set E) (_ : s ⊆ t) (_ : Convex 𝕜 t), t := by simp [convexHull, iInter_subtype, iInter_and] #align convex_hull_eq_Inter convexHull_eq_iInter variable {𝕜 s} {t : Set E} {x y : E} theorem mem_convexHull_iff : x ∈ convexHull 𝕜 s ↔ ∀ t, s ⊆ t → Convex 𝕜 t → x ∈ t := by simp_rw [convexHull_eq_iInter, mem_iInter] #align mem_convex_hull_iff mem_convexHull_iff theorem convexHull_min : s ⊆ t → Convex 𝕜 t → convexHull 𝕜 s ⊆ t := (convexHull 𝕜).closure_min #align convex_hull_min convexHull_min theorem Convex.convexHull_subset_iff (ht : Convex 𝕜 t) : convexHull 𝕜 s ⊆ t ↔ s ⊆ t := (show (convexHull 𝕜).IsClosed t from ht).closure_le_iff #align convex.convex_hull_subset_iff Convex.convexHull_subset_iff @[mono] theorem convexHull_mono (hst : s ⊆ t) : convexHull 𝕜 s ⊆ convexHull 𝕜 t := (convexHull 𝕜).monotone hst #align convex_hull_mono convexHull_mono lemma convexHull_eq_self : convexHull 𝕜 s = s ↔ Convex 𝕜 s := (convexHull 𝕜).isClosed_iff.symm alias ⟨_, Convex.convexHull_eq⟩ := convexHull_eq_self #align convex.convex_hull_eq Convex.convexHull_eq @[simp] theorem convexHull_univ : convexHull 𝕜 (univ : Set E) = univ := ClosureOperator.closure_top (convexHull 𝕜) #align convex_hull_univ convexHull_univ @[simp] theorem convexHull_empty : convexHull 𝕜 (∅ : Set E) = ∅ := convex_empty.convexHull_eq #align convex_hull_empty convexHull_empty @[simp] theorem convexHull_empty_iff : convexHull 𝕜 s = ∅ ↔ s = ∅ := by constructor · intro h rw [← Set.subset_empty_iff, ← h] exact subset_convexHull 𝕜 _ · rintro rfl exact convexHull_empty #align convex_hull_empty_iff convexHull_empty_iff @[simp] theorem convexHull_nonempty_iff : (convexHull 𝕜 s).Nonempty ↔ s.Nonempty := by rw [nonempty_iff_ne_empty, nonempty_iff_ne_empty, Ne, Ne] exact not_congr convexHull_empty_iff #align convex_hull_nonempty_iff convexHull_nonempty_iff protected alias ⟨_, Set.Nonempty.convexHull⟩ := convexHull_nonempty_iff #align set.nonempty.convex_hull Set.Nonempty.convexHull theorem segment_subset_convexHull (hx : x ∈ s) (hy : y ∈ s) : segment 𝕜 x y ⊆ convexHull 𝕜 s := (convex_convexHull _ _).segment_subset (subset_convexHull _ _ hx) (subset_convexHull _ _ hy) #align segment_subset_convex_hull segment_subset_convexHull @[simp] theorem convexHull_singleton (x : E) : convexHull 𝕜 ({x} : Set E) = {x} := (convex_singleton x).convexHull_eq #align convex_hull_singleton convexHull_singleton @[simp] theorem convexHull_zero : convexHull 𝕜 (0 : Set E) = 0 := convexHull_singleton 0 #align convex_hull_zero convexHull_zero @[simp] theorem convexHull_pair (x y : E) : convexHull 𝕜 {x, y} = segment 𝕜 x y := by refine (convexHull_min ?_ <| convex_segment _ _).antisymm (segment_subset_convexHull (mem_insert _ _) <| subset_insert _ _ <| mem_singleton _) rw [insert_subset_iff, singleton_subset_iff] exact ⟨left_mem_segment _ _ _, right_mem_segment _ _ _⟩ #align convex_hull_pair convexHull_pair theorem convexHull_convexHull_union_left (s t : Set E) : convexHull 𝕜 (convexHull 𝕜 s ∪ t) = convexHull 𝕜 (s ∪ t) := ClosureOperator.closure_sup_closure_left _ _ _ #align convex_hull_convex_hull_union_left convexHull_convexHull_union_left theorem convexHull_convexHull_union_right (s t : Set E) : convexHull 𝕜 (s ∪ convexHull 𝕜 t) = convexHull 𝕜 (s ∪ t) := ClosureOperator.closure_sup_closure_right _ _ _ #align convex_hull_convex_hull_union_right convexHull_convexHull_union_right
Mathlib/Analysis/Convex/Hull.lean
144
158
theorem Convex.convex_remove_iff_not_mem_convexHull_remove {s : Set E} (hs : Convex 𝕜 s) (x : E) : Convex 𝕜 (s \ {x}) ↔ x ∉ convexHull 𝕜 (s \ {x}) := by
constructor · rintro hsx hx rw [hsx.convexHull_eq] at hx exact hx.2 (mem_singleton _) rintro hx suffices h : s \ {x} = convexHull 𝕜 (s \ {x}) by rw [h] exact convex_convexHull 𝕜 _ exact Subset.antisymm (subset_convexHull 𝕜 _) fun y hy => ⟨convexHull_min diff_subset hs hy, by rintro (rfl : y = x) exact hx hy⟩
import Mathlib.Analysis.NormedSpace.IndicatorFunction import Mathlib.MeasureTheory.Function.EssSup import Mathlib.MeasureTheory.Function.AEEqFun import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory section ℒp section ℒpSpaceDefinition def snorm' {_ : MeasurableSpace α} (f : α → F) (q : ℝ) (μ : Measure α) : ℝ≥0∞ := (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) #align measure_theory.snorm' MeasureTheory.snorm' def snormEssSup {_ : MeasurableSpace α} (f : α → F) (μ : Measure α) := essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ #align measure_theory.snorm_ess_sup MeasureTheory.snormEssSup def snorm {_ : MeasurableSpace α} (f : α → F) (p : ℝ≥0∞) (μ : Measure α) : ℝ≥0∞ := if p = 0 then 0 else if p = ∞ then snormEssSup f μ else snorm' f (ENNReal.toReal p) μ #align measure_theory.snorm MeasureTheory.snorm
Mathlib/MeasureTheory/Function/LpSeminorm/Basic.lean
87
88
theorem snorm_eq_snorm' (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) {f : α → F} : snorm f p μ = snorm' f (ENNReal.toReal p) μ := by
simp [snorm, hp_ne_zero, hp_ne_top]
import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Tactic.Ring #align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" open Finset namespace Nat variable (p : ℕ → Prop) section Count variable [DecidablePred p] def count (n : ℕ) : ℕ := (List.range n).countP p #align nat.count Nat.count @[simp]
Mathlib/Data/Nat/Count.lean
38
39
theorem count_zero : count p 0 = 0 := by
rw [count, List.range_zero, List.countP, List.countP.go]
import Mathlib.Algebra.Ring.Prod import Mathlib.GroupTheory.OrderOfElement import Mathlib.Tactic.FinCases #align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7" assert_not_exists Submodule open Function namespace ZMod instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ) def val : ∀ {n : ℕ}, ZMod n → ℕ | 0 => Int.natAbs | n + 1 => ((↑) : Fin (n + 1) → ℕ) #align zmod.val ZMod.val theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by cases n · cases NeZero.ne 0 rfl exact Fin.is_lt a #align zmod.val_lt ZMod.val_lt theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n := a.val_lt.le #align zmod.val_le ZMod.val_le @[simp] theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0 | 0 => rfl | _ + 1 => rfl #align zmod.val_zero ZMod.val_zero @[simp] theorem val_one' : (1 : ZMod 0).val = 1 := rfl #align zmod.val_one' ZMod.val_one' @[simp] theorem val_neg' {n : ZMod 0} : (-n).val = n.val := Int.natAbs_neg n #align zmod.val_neg' ZMod.val_neg' @[simp] theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val := Int.natAbs_mul m n #align zmod.val_mul' ZMod.val_mul' @[simp] theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by cases n · rw [Nat.mod_zero] exact Int.natAbs_ofNat a · apply Fin.val_natCast #align zmod.val_nat_cast ZMod.val_natCast @[deprecated (since := "2024-04-17")] alias val_nat_cast := val_natCast theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by simp only [val] rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one] lemma eq_one_of_isUnit_natCast {n : ℕ} (h : IsUnit (n : ZMod 0)) : n = 1 := by rw [← Nat.mod_zero n, ← val_natCast, val_unit'.mp h] theorem val_natCast_of_lt {n a : ℕ} (h : a < n) : (a : ZMod n).val = a := by rwa [val_natCast, Nat.mod_eq_of_lt] @[deprecated (since := "2024-04-17")] alias val_nat_cast_of_lt := val_natCast_of_lt instance charP (n : ℕ) : CharP (ZMod n) n where cast_eq_zero_iff' := by intro k cases' n with n · simp [zero_dvd_iff, Int.natCast_eq_zero, Nat.zero_eq] · exact Fin.natCast_eq_zero @[simp] theorem addOrderOf_one (n : ℕ) : addOrderOf (1 : ZMod n) = n := CharP.eq _ (CharP.addOrderOf_one _) (ZMod.charP n) #align zmod.add_order_of_one ZMod.addOrderOf_one @[simp] theorem addOrderOf_coe (a : ℕ) {n : ℕ} (n0 : n ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by cases' a with a · simp only [Nat.zero_eq, Nat.cast_zero, addOrderOf_zero, Nat.gcd_zero_right, Nat.pos_of_ne_zero n0, Nat.div_self] rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a.succ_ne_zero, ZMod.addOrderOf_one] #align zmod.add_order_of_coe ZMod.addOrderOf_coe @[simp] theorem addOrderOf_coe' {a : ℕ} (n : ℕ) (a0 : a ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a0, ZMod.addOrderOf_one] #align zmod.add_order_of_coe' ZMod.addOrderOf_coe' theorem ringChar_zmod_n (n : ℕ) : ringChar (ZMod n) = n := by rw [ringChar.eq_iff] exact ZMod.charP n #align zmod.ring_char_zmod_n ZMod.ringChar_zmod_n -- @[simp] -- Porting note (#10618): simp can prove this theorem natCast_self (n : ℕ) : (n : ZMod n) = 0 := CharP.cast_eq_zero (ZMod n) n #align zmod.nat_cast_self ZMod.natCast_self @[deprecated (since := "2024-04-17")] alias nat_cast_self := natCast_self @[simp]
Mathlib/Data/ZMod/Basic.lean
151
152
theorem natCast_self' (n : ℕ) : (n + 1 : ZMod (n + 1)) = 0 := by
rw [← Nat.cast_add_one, natCast_self (n + 1)]
import Mathlib.Data.Int.Cast.Lemmas import Mathlib.Tactic.NormNum.Basic set_option autoImplicit true namespace Mathlib open Lean hiding Rat mkRat open Meta namespace Meta.NormNum open Qq theorem natPow_zero : Nat.pow a (nat_lit 0) = nat_lit 1 := rfl theorem natPow_one : Nat.pow a (nat_lit 1) = a := Nat.pow_one _ theorem zero_natPow : Nat.pow (nat_lit 0) (Nat.succ b) = nat_lit 0 := rfl theorem one_natPow : Nat.pow (nat_lit 1) b = nat_lit 1 := Nat.one_pow _ structure IsNatPowT (p : Prop) (a b c : Nat) : Prop where run' : p → Nat.pow a b = c theorem IsNatPowT.run (p : IsNatPowT (Nat.pow a (nat_lit 1) = a) a b c) : Nat.pow a b = c := p.run' (Nat.pow_one _) theorem IsNatPowT.trans (h1 : IsNatPowT p a b c) (h2 : IsNatPowT (Nat.pow a b = c) a b' c') : IsNatPowT p a b' c' := ⟨h2.run' ∘ h1.run'⟩ theorem IsNatPowT.bit0 : IsNatPowT (Nat.pow a b = c) a (nat_lit 2 * b) (Nat.mul c c) := ⟨fun h1 => by simp [two_mul, pow_add, ← h1]⟩ theorem IsNatPowT.bit1 : IsNatPowT (Nat.pow a b = c) a (nat_lit 2 * b + nat_lit 1) (Nat.mul c (Nat.mul c a)) := ⟨fun h1 => by simp [two_mul, pow_add, mul_assoc, ← h1]⟩ partial def evalNatPow (a b : Q(ℕ)) : (c : Q(ℕ)) × Q(Nat.pow $a $b = $c) := if b.natLit! = 0 then haveI : $b =Q 0 := ⟨⟩ ⟨q(nat_lit 1), q(natPow_zero)⟩ else if a.natLit! = 0 then haveI : $a =Q 0 := ⟨⟩ have b' : Q(ℕ) := mkRawNatLit (b.natLit! - 1) haveI : $b =Q Nat.succ $b' := ⟨⟩ ⟨q(nat_lit 0), q(zero_natPow)⟩ else if a.natLit! = 1 then haveI : $a =Q 1 := ⟨⟩ ⟨q(nat_lit 1), q(one_natPow)⟩ else if b.natLit! = 1 then haveI : $b =Q 1 := ⟨⟩ ⟨a, q(natPow_one)⟩ else let ⟨c, p⟩ := go b.natLit!.log2 a (mkRawNatLit 1) a b _ .rfl ⟨c, q(($p).run)⟩ where go (depth : Nat) (a b₀ c₀ b : Q(ℕ)) (p : Q(Prop)) (hp : $p =Q (Nat.pow $a $b₀ = $c₀)) : (c : Q(ℕ)) × Q(IsNatPowT $p $a $b $c) := let b' := b.natLit! if depth ≤ 1 then let a' := a.natLit! let c₀' := c₀.natLit! if b' &&& 1 == 0 then have c : Q(ℕ) := mkRawNatLit (c₀' * c₀') haveI : $c =Q Nat.mul $c₀ $c₀ := ⟨⟩ haveI : $b =Q 2 * $b₀ := ⟨⟩ ⟨c, q(IsNatPowT.bit0)⟩ else have c : Q(ℕ) := mkRawNatLit (c₀' * (c₀' * a')) haveI : $c =Q Nat.mul $c₀ (Nat.mul $c₀ $a) := ⟨⟩ haveI : $b =Q 2 * $b₀ + 1 := ⟨⟩ ⟨c, q(IsNatPowT.bit1)⟩ else let d := depth >>> 1 have hi : Q(ℕ) := mkRawNatLit (b' >>> d) let ⟨c1, p1⟩ := go (depth - d) a b₀ c₀ hi p (by exact hp) let ⟨c2, p2⟩ := go d a hi c1 b q(Nat.pow $a $hi = $c1) ⟨⟩ ⟨c2, q(($p1).trans $p2)⟩ theorem intPow_ofNat (h1 : Nat.pow a b = c) : Int.pow (Int.ofNat a) b = Int.ofNat c := by simp [← h1] theorem intPow_negOfNat_bit0 (h1 : Nat.pow a b' = c') (hb : nat_lit 2 * b' = b) (hc : c' * c' = c) : Int.pow (Int.negOfNat a) b = Int.ofNat c := by rw [← hb, Int.negOfNat_eq, Int.pow_eq, pow_mul, neg_pow_two, ← pow_mul, two_mul, pow_add, ← hc, ← h1] simp
Mathlib/Tactic/NormNum/Pow.lean
112
117
theorem intPow_negOfNat_bit1 (h1 : Nat.pow a b' = c') (hb : nat_lit 2 * b' + nat_lit 1 = b) (hc : c' * (c' * a) = c) : Int.pow (Int.negOfNat a) b = Int.negOfNat c := by
rw [← hb, Int.negOfNat_eq, Int.negOfNat_eq, Int.pow_eq, pow_succ, pow_mul, neg_pow_two, ← pow_mul, two_mul, pow_add, ← hc, ← h1] simp [mul_assoc, mul_comm, mul_left_comm]
import Mathlib.Data.Countable.Basic import Mathlib.Logic.Encodable.Basic import Mathlib.Order.SuccPred.Basic import Mathlib.Order.Interval.Finset.Defs #align_import order.succ_pred.linear_locally_finite from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9" open Order variable {ι : Type*} [LinearOrder ι] namespace LinearLocallyFiniteOrder noncomputable def succFn (i : ι) : ι := (exists_glb_Ioi i).choose #align linear_locally_finite_order.succ_fn LinearLocallyFiniteOrder.succFn theorem succFn_spec (i : ι) : IsGLB (Set.Ioi i) (succFn i) := (exists_glb_Ioi i).choose_spec #align linear_locally_finite_order.succ_fn_spec LinearLocallyFiniteOrder.succFn_spec theorem le_succFn (i : ι) : i ≤ succFn i := by rw [le_isGLB_iff (succFn_spec i), mem_lowerBounds] exact fun x hx ↦ le_of_lt hx #align linear_locally_finite_order.le_succ_fn LinearLocallyFiniteOrder.le_succFn
Mathlib/Order/SuccPred/LinearLocallyFinite.lean
77
84
theorem isGLB_Ioc_of_isGLB_Ioi {i j k : ι} (hij_lt : i < j) (h : IsGLB (Set.Ioi i) k) : IsGLB (Set.Ioc i j) k := by
simp_rw [IsGLB, IsGreatest, mem_upperBounds, mem_lowerBounds] at h ⊢ refine ⟨fun x hx ↦ h.1 x hx.1, fun x hx ↦ h.2 x ?_⟩ intro y hy rcases le_or_lt y j with h_le | h_lt · exact hx y ⟨hy, h_le⟩ · exact le_trans (hx j ⟨hij_lt, le_rfl⟩) h_lt.le
import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.CircleIntegral #align_import measure_theory.integral.torus_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" variable {n : ℕ} variable {E : Type*} [NormedAddCommGroup E] noncomputable section open Complex Set MeasureTheory Function Filter TopologicalSpace open scoped Real -- Porting note: notation copied from `./DivergenceTheorem` local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "⁰" : term => `(Fin 0 → $t) local macro:arg t:term:max noWs "¹" : term => `(Fin 1 → $t) def torusMap (c : ℂⁿ) (R : ℝⁿ) : ℝⁿ → ℂⁿ := fun θ i => c i + R i * exp (θ i * I) #align torus_map torusMap
Mathlib/MeasureTheory/Integral/TorusIntegral.lean
84
85
theorem torusMap_sub_center (c : ℂⁿ) (R : ℝⁿ) (θ : ℝⁿ) : torusMap c R θ - c = torusMap 0 R θ := by
ext1 i; simp [torusMap]
import Mathlib.FieldTheory.Finite.Basic #align_import number_theory.wilson from "leanprover-community/mathlib"@"c471da714c044131b90c133701e51b877c246677" open Finset Nat FiniteField ZMod open scoped Nat namespace ZMod variable (p : ℕ) [Fact p.Prime] @[simp]
Mathlib/NumberTheory/Wilson.lean
40
69
theorem wilsons_lemma : ((p - 1)! : ZMod p) = -1 := by
refine calc ((p - 1)! : ZMod p) = ∏ x ∈ Ico 1 (succ (p - 1)), (x : ZMod p) := by rw [← Finset.prod_Ico_id_eq_factorial, prod_natCast] _ = ∏ x : (ZMod p)ˣ, (x : ZMod p) := ?_ _ = -1 := by -- Porting note: `simp` is less powerful. -- simp_rw [← Units.coeHom_apply, ← (Units.coeHom (ZMod p)).map_prod, -- prod_univ_units_id_eq_neg_one, Units.coeHom_apply, Units.val_neg, Units.val_one] simp_rw [← Units.coeHom_apply] rw [← map_prod (Units.coeHom (ZMod p))] simp_rw [prod_univ_units_id_eq_neg_one, Units.coeHom_apply, Units.val_neg, Units.val_one] have hp : 0 < p := (Fact.out (p := p.Prime)).pos symm refine prod_bij (fun a _ => (a : ZMod p).val) ?_ ?_ ?_ ?_ · intro a ha rw [mem_Ico, ← Nat.succ_sub hp, Nat.add_one_sub_one] constructor · apply Nat.pos_of_ne_zero; rw [← @val_zero p] intro h; apply Units.ne_zero a (val_injective p h) · exact val_lt _ · intro _ _ _ _ h; rw [Units.ext_iff]; exact val_injective p h · intro b hb rw [mem_Ico, Nat.succ_le_iff, ← succ_sub hp, Nat.add_one_sub_one, pos_iff_ne_zero] at hb refine ⟨Units.mk0 b ?_, Finset.mem_univ _, ?_⟩ · intro h; apply hb.1; apply_fun val at h simpa only [val_cast_of_lt hb.right, val_zero] using h · simp only [val_cast_of_lt hb.right, Units.val_mk0] · rintro a -; simp only [cast_id, natCast_val]
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Pi.Basic import Mathlib.Order.Fin import Mathlib.Order.PiLex import Mathlib.Order.Interval.Set.Basic #align_import data.fin.tuple.basic from "leanprover-community/mathlib"@"ef997baa41b5c428be3fb50089a7139bf4ee886b" assert_not_exists MonoidWithZero universe u v namespace Fin variable {m n : ℕ} open Function section Tuple example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g := finZeroElim #align fin.tuple0_le Fin.tuple0_le variable {α : Fin (n + 1) → Type u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n) (y : α i.succ) (z : α 0) def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ #align fin.tail Fin.tail theorem tail_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} : (tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ := rfl #align fin.tail_def Fin.tail_def def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j #align fin.cons Fin.cons @[simp] theorem tail_cons : tail (cons x p) = p := by simp (config := { unfoldPartialApp := true }) [tail, cons] #align fin.tail_cons Fin.tail_cons @[simp] theorem cons_succ : cons x p i.succ = p i := by simp [cons] #align fin.cons_succ Fin.cons_succ @[simp] theorem cons_zero : cons x p 0 = x := by simp [cons] #align fin.cons_zero Fin.cons_zero @[simp] theorem cons_one {α : Fin (n + 2) → Type*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) : cons x p 1 = p 0 := by rw [← cons_succ x p]; rfl @[simp] theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by ext j by_cases h : j = 0 · rw [h] simp [Ne.symm (succ_ne_zero i)] · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ] by_cases h' : j' = i · rw [h'] simp · have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj] rw [update_noteq h', update_noteq this, cons_succ] #align fin.cons_update Fin.cons_update theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦ ⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩ #align fin.cons_injective2 Fin.cons_injective2 @[simp] theorem cons_eq_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} : cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y := cons_injective2.eq_iff #align fin.cons_eq_cons Fin.cons_eq_cons theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x := cons_injective2.left _ #align fin.cons_left_injective Fin.cons_left_injective theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) := cons_injective2.right _ #align fin.cons_right_injective Fin.cons_right_injective theorem update_cons_zero : update (cons x p) 0 z = cons z p := by ext j by_cases h : j = 0 · rw [h] simp · simp only [h, update_noteq, Ne, not_false_iff] let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ, cons_succ] #align fin.update_cons_zero Fin.update_cons_zero @[simp, nolint simpNF] -- Porting note: linter claims LHS doesn't simplify theorem cons_self_tail : cons (q 0) (tail q) = q := by ext j by_cases h : j = 0 · rw [h] simp · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this] unfold tail rw [cons_succ] #align fin.cons_self_tail Fin.cons_self_tail -- Porting note: Mathport removes `_root_`? @[elab_as_elim] def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x : ∀ i : Fin n.succ, α i) : P x := _root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x) #align fin.cons_cases Fin.consCases @[simp]
Mathlib/Data/Fin/Tuple/Basic.lean
162
165
theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by
rw [consCases, cast_eq] congr
import Mathlib.Data.List.Nodup #align_import data.prod.tprod from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" open List Function universe u v variable {ι : Type u} {α : ι → Type v} {i j : ι} {l : List ι} {f : ∀ i, α i} namespace List variable (α) abbrev TProd (l : List ι) : Type v := l.foldr (fun i β => α i × β) PUnit #align list.tprod List.TProd variable {α} namespace TProd open List protected def mk : ∀ (l : List ι) (_f : ∀ i, α i), TProd α l | [] => fun _ => PUnit.unit | i :: is => fun f => (f i, TProd.mk is f) #align list.tprod.mk List.TProd.mk instance [∀ i, Inhabited (α i)] : Inhabited (TProd α l) := ⟨TProd.mk l default⟩ @[simp] theorem fst_mk (i : ι) (l : List ι) (f : ∀ i, α i) : (TProd.mk (i :: l) f).1 = f i := rfl #align list.tprod.fst_mk List.TProd.fst_mk @[simp] theorem snd_mk (i : ι) (l : List ι) (f : ∀ i, α i) : (TProd.mk.{u,v} (i :: l) f).2 = TProd.mk.{u,v} l f := rfl #align list.tprod.snd_mk List.TProd.snd_mk variable [DecidableEq ι] protected def elim : ∀ {l : List ι} (_ : TProd α l) {i : ι} (_ : i ∈ l), α i | i :: is, v, j, hj => if hji : j = i then by subst hji exact v.1 else TProd.elim v.2 ((List.mem_cons.mp hj).resolve_left hji) #align list.tprod.elim List.TProd.elim @[simp] theorem elim_self (v : TProd α (i :: l)) : v.elim (l.mem_cons_self i) = v.1 := by simp [TProd.elim] #align list.tprod.elim_self List.TProd.elim_self @[simp] theorem elim_of_ne (hj : j ∈ i :: l) (hji : j ≠ i) (v : TProd α (i :: l)) : v.elim hj = TProd.elim v.2 ((List.mem_cons.mp hj).resolve_left hji) := by simp [TProd.elim, hji] #align list.tprod.elim_of_ne List.TProd.elim_of_ne @[simp]
Mathlib/Data/Prod/TProd.lean
99
103
theorem elim_of_mem (hl : (i :: l).Nodup) (hj : j ∈ l) (v : TProd α (i :: l)) : v.elim (mem_cons_of_mem _ hj) = TProd.elim v.2 hj := by
apply elim_of_ne rintro rfl exact hl.not_mem hj
import Mathlib.RingTheory.Polynomial.Cyclotomic.Basic import Mathlib.RingTheory.RootsOfUnity.Minpoly #align_import ring_theory.polynomial.cyclotomic.roots from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" namespace Polynomial variable {R : Type*} [CommRing R] {n : ℕ} theorem isRoot_of_unity_of_root_cyclotomic {ζ : R} {i : ℕ} (hi : i ∈ n.divisors) (h : (cyclotomic i R).IsRoot ζ) : ζ ^ n = 1 := by rcases n.eq_zero_or_pos with (rfl | hn) · exact pow_zero _ have := congr_arg (eval ζ) (prod_cyclotomic_eq_X_pow_sub_one hn R).symm rw [eval_sub, eval_pow, eval_X, eval_one] at this convert eq_add_of_sub_eq' this convert (add_zero (M := R) _).symm apply eval_eq_zero_of_dvd_of_eval_eq_zero _ h exact Finset.dvd_prod_of_mem _ hi #align polynomial.is_root_of_unity_of_root_cyclotomic Polynomial.isRoot_of_unity_of_root_cyclotomic section IsDomain variable [IsDomain R]
Mathlib/RingTheory/Polynomial/Cyclotomic/Roots.lean
56
59
theorem _root_.isRoot_of_unity_iff (h : 0 < n) (R : Type*) [CommRing R] [IsDomain R] {ζ : R} : ζ ^ n = 1 ↔ ∃ i ∈ n.divisors, (cyclotomic i R).IsRoot ζ := by
rw [← mem_nthRoots h, nthRoots, mem_roots <| X_pow_sub_C_ne_zero h _, C_1, ← prod_cyclotomic_eq_X_pow_sub_one h, isRoot_prod]
import Mathlib.MeasureTheory.OuterMeasure.OfFunction import Mathlib.MeasureTheory.PiSystem #align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set Function Filter open scoped Classical NNReal Topology ENNReal namespace MeasureTheory namespace OuterMeasure section CaratheodoryMeasurable universe u variable {α : Type u} (m : OuterMeasure α) attribute [local simp] Set.inter_comm Set.inter_left_comm Set.inter_assoc variable {s s₁ s₂ : Set α} def IsCaratheodory (s : Set α) : Prop := ∀ t, m t = m (t ∩ s) + m (t \ s) #align measure_theory.outer_measure.is_caratheodory MeasureTheory.OuterMeasure.IsCaratheodory theorem isCaratheodory_iff_le' {s : Set α} : IsCaratheodory m s ↔ ∀ t, m (t ∩ s) + m (t \ s) ≤ m t := forall_congr' fun _ => le_antisymm_iff.trans <| and_iff_right <| measure_le_inter_add_diff _ _ _ #align measure_theory.outer_measure.is_caratheodory_iff_le' MeasureTheory.OuterMeasure.isCaratheodory_iff_le' @[simp] theorem isCaratheodory_empty : IsCaratheodory m ∅ := by simp [IsCaratheodory, m.empty, diff_empty] #align measure_theory.outer_measure.is_caratheodory_empty MeasureTheory.OuterMeasure.isCaratheodory_empty theorem isCaratheodory_compl : IsCaratheodory m s₁ → IsCaratheodory m s₁ᶜ := by simp [IsCaratheodory, diff_eq, add_comm] #align measure_theory.outer_measure.is_caratheodory_compl MeasureTheory.OuterMeasure.isCaratheodory_compl @[simp] theorem isCaratheodory_compl_iff : IsCaratheodory m sᶜ ↔ IsCaratheodory m s := ⟨fun h => by simpa using isCaratheodory_compl m h, isCaratheodory_compl m⟩ #align measure_theory.outer_measure.is_caratheodory_compl_iff MeasureTheory.OuterMeasure.isCaratheodory_compl_iff theorem isCaratheodory_union (h₁ : IsCaratheodory m s₁) (h₂ : IsCaratheodory m s₂) : IsCaratheodory m (s₁ ∪ s₂) := fun t => by rw [h₁ t, h₂ (t ∩ s₁), h₂ (t \ s₁), h₁ (t ∩ (s₁ ∪ s₂)), inter_diff_assoc _ _ s₁, Set.inter_assoc _ _ s₁, inter_eq_self_of_subset_right Set.subset_union_left, union_diff_left, h₂ (t ∩ s₁)] simp [diff_eq, add_assoc] #align measure_theory.outer_measure.is_caratheodory_union MeasureTheory.OuterMeasure.isCaratheodory_union theorem measure_inter_union (h : s₁ ∩ s₂ ⊆ ∅) (h₁ : IsCaratheodory m s₁) {t : Set α} : m (t ∩ (s₁ ∪ s₂)) = m (t ∩ s₁) + m (t ∩ s₂) := by rw [h₁, Set.inter_assoc, Set.union_inter_cancel_left, inter_diff_assoc, union_diff_cancel_left h] #align measure_theory.outer_measure.measure_inter_union MeasureTheory.OuterMeasure.measure_inter_union theorem isCaratheodory_iUnion_lt {s : ℕ → Set α} : ∀ {n : ℕ}, (∀ i < n, IsCaratheodory m (s i)) → IsCaratheodory m (⋃ i < n, s i) | 0, _ => by simp [Nat.not_lt_zero] | n + 1, h => by rw [biUnion_lt_succ] exact isCaratheodory_union m (isCaratheodory_iUnion_lt fun i hi => h i <| lt_of_lt_of_le hi <| Nat.le_succ _) (h n (le_refl (n + 1))) #align measure_theory.outer_measure.is_caratheodory_Union_lt MeasureTheory.OuterMeasure.isCaratheodory_iUnion_lt
Mathlib/MeasureTheory/OuterMeasure/Caratheodory.lean
97
100
theorem isCaratheodory_inter (h₁ : IsCaratheodory m s₁) (h₂ : IsCaratheodory m s₂) : IsCaratheodory m (s₁ ∩ s₂) := by
rw [← isCaratheodory_compl_iff, Set.compl_inter] exact isCaratheodory_union _ (isCaratheodory_compl _ h₁) (isCaratheodory_compl _ h₂)
import Mathlib.Analysis.Calculus.FDeriv.Bilinear #align_import analysis.calculus.fderiv.mul from "leanprover-community/mathlib"@"d608fc5d4e69d4cc21885913fb573a88b0deb521" open scoped Classical open Filter Asymptotics ContinuousLinearMap Set Metric Topology NNReal ENNReal noncomputable section section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E} section SMul variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F] [IsScalarTower 𝕜 𝕜' F] variable {c : E → 𝕜'} {c' : E →L[𝕜] 𝕜'} @[fun_prop] theorem HasStrictFDerivAt.smul (hc : HasStrictFDerivAt c c' x) (hf : HasStrictFDerivAt f f' x) : HasStrictFDerivAt (fun y => c y • f y) (c x • f' + c'.smulRight (f x)) x := (isBoundedBilinearMap_smul.hasStrictFDerivAt (c x, f x)).comp x <| hc.prod hf #align has_strict_fderiv_at.smul HasStrictFDerivAt.smul @[fun_prop] theorem HasFDerivWithinAt.smul (hc : HasFDerivWithinAt c c' s x) (hf : HasFDerivWithinAt f f' s x) : HasFDerivWithinAt (fun y => c y • f y) (c x • f' + c'.smulRight (f x)) s x := (isBoundedBilinearMap_smul.hasFDerivAt (c x, f x)).comp_hasFDerivWithinAt x <| hc.prod hf #align has_fderiv_within_at.smul HasFDerivWithinAt.smul @[fun_prop] theorem HasFDerivAt.smul (hc : HasFDerivAt c c' x) (hf : HasFDerivAt f f' x) : HasFDerivAt (fun y => c y • f y) (c x • f' + c'.smulRight (f x)) x := (isBoundedBilinearMap_smul.hasFDerivAt (c x, f x)).comp x <| hc.prod hf #align has_fderiv_at.smul HasFDerivAt.smul @[fun_prop] theorem DifferentiableWithinAt.smul (hc : DifferentiableWithinAt 𝕜 c s x) (hf : DifferentiableWithinAt 𝕜 f s x) : DifferentiableWithinAt 𝕜 (fun y => c y • f y) s x := (hc.hasFDerivWithinAt.smul hf.hasFDerivWithinAt).differentiableWithinAt #align differentiable_within_at.smul DifferentiableWithinAt.smul @[simp, fun_prop] theorem DifferentiableAt.smul (hc : DifferentiableAt 𝕜 c x) (hf : DifferentiableAt 𝕜 f x) : DifferentiableAt 𝕜 (fun y => c y • f y) x := (hc.hasFDerivAt.smul hf.hasFDerivAt).differentiableAt #align differentiable_at.smul DifferentiableAt.smul @[fun_prop] theorem DifferentiableOn.smul (hc : DifferentiableOn 𝕜 c s) (hf : DifferentiableOn 𝕜 f s) : DifferentiableOn 𝕜 (fun y => c y • f y) s := fun x hx => (hc x hx).smul (hf x hx) #align differentiable_on.smul DifferentiableOn.smul @[simp, fun_prop] theorem Differentiable.smul (hc : Differentiable 𝕜 c) (hf : Differentiable 𝕜 f) : Differentiable 𝕜 fun y => c y • f y := fun x => (hc x).smul (hf x) #align differentiable.smul Differentiable.smul theorem fderivWithin_smul (hxs : UniqueDiffWithinAt 𝕜 s x) (hc : DifferentiableWithinAt 𝕜 c s x) (hf : DifferentiableWithinAt 𝕜 f s x) : fderivWithin 𝕜 (fun y => c y • f y) s x = c x • fderivWithin 𝕜 f s x + (fderivWithin 𝕜 c s x).smulRight (f x) := (hc.hasFDerivWithinAt.smul hf.hasFDerivWithinAt).fderivWithin hxs #align fderiv_within_smul fderivWithin_smul theorem fderiv_smul (hc : DifferentiableAt 𝕜 c x) (hf : DifferentiableAt 𝕜 f x) : fderiv 𝕜 (fun y => c y • f y) x = c x • fderiv 𝕜 f x + (fderiv 𝕜 c x).smulRight (f x) := (hc.hasFDerivAt.smul hf.hasFDerivAt).fderiv #align fderiv_smul fderiv_smul @[fun_prop] theorem HasStrictFDerivAt.smul_const (hc : HasStrictFDerivAt c c' x) (f : F) : HasStrictFDerivAt (fun y => c y • f) (c'.smulRight f) x := by simpa only [smul_zero, zero_add] using hc.smul (hasStrictFDerivAt_const f x) #align has_strict_fderiv_at.smul_const HasStrictFDerivAt.smul_const @[fun_prop] theorem HasFDerivWithinAt.smul_const (hc : HasFDerivWithinAt c c' s x) (f : F) : HasFDerivWithinAt (fun y => c y • f) (c'.smulRight f) s x := by simpa only [smul_zero, zero_add] using hc.smul (hasFDerivWithinAt_const f x s) #align has_fderiv_within_at.smul_const HasFDerivWithinAt.smul_const @[fun_prop]
Mathlib/Analysis/Calculus/FDeriv/Mul.lean
319
321
theorem HasFDerivAt.smul_const (hc : HasFDerivAt c c' x) (f : F) : HasFDerivAt (fun y => c y • f) (c'.smulRight f) x := by
simpa only [smul_zero, zero_add] using hc.smul (hasFDerivAt_const f x)
import Mathlib.Data.List.Basic #align_import data.list.infix from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2" open Nat variable {α β : Type*} namespace List variable {l l₁ l₂ l₃ : List α} {a b : α} {m n : ℕ} section Fix #align list.prefix_append List.prefix_append #align list.suffix_append List.suffix_append #align list.infix_append List.infix_append #align list.infix_append' List.infix_append' #align list.is_prefix.is_infix List.IsPrefix.isInfix #align list.is_suffix.is_infix List.IsSuffix.isInfix #align list.nil_prefix List.nil_prefix #align list.nil_suffix List.nil_suffix #align list.nil_infix List.nil_infix #align list.prefix_refl List.prefix_refl #align list.suffix_refl List.suffix_refl #align list.infix_refl List.infix_refl theorem prefix_rfl : l <+: l := prefix_refl _ #align list.prefix_rfl List.prefix_rfl theorem suffix_rfl : l <:+ l := suffix_refl _ #align list.suffix_rfl List.suffix_rfl theorem infix_rfl : l <:+: l := infix_refl _ #align list.infix_rfl List.infix_rfl #align list.suffix_cons List.suffix_cons
Mathlib/Data/List/Infix.lean
70
70
theorem prefix_concat (a : α) (l) : l <+: concat l a := by
simp
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic import Mathlib.LinearAlgebra.CliffordAlgebra.Fold import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.Dual #align_import linear_algebra.clifford_algebra.contraction from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open LinearMap (BilinForm) universe u1 u2 u3 variable {R : Type u1} [CommRing R] variable {M : Type u2} [AddCommGroup M] [Module R M] variable (Q : QuadraticForm R M) namespace CliffordAlgebra section contractLeft variable (d d' : Module.Dual R M) @[simps!] def contractLeftAux (d : Module.Dual R M) : M →ₗ[R] CliffordAlgebra Q × CliffordAlgebra Q →ₗ[R] CliffordAlgebra Q := haveI v_mul := (Algebra.lmul R (CliffordAlgebra Q)).toLinearMap ∘ₗ ι Q d.smulRight (LinearMap.fst _ (CliffordAlgebra Q) (CliffordAlgebra Q)) - v_mul.compl₂ (LinearMap.snd _ (CliffordAlgebra Q) _) #align clifford_algebra.contract_left_aux CliffordAlgebra.contractLeftAux theorem contractLeftAux_contractLeftAux (v : M) (x : CliffordAlgebra Q) (fx : CliffordAlgebra Q) : contractLeftAux Q d v (ι Q v * x, contractLeftAux Q d v (x, fx)) = Q v • fx := by simp only [contractLeftAux_apply_apply] rw [mul_sub, ← mul_assoc, ι_sq_scalar, ← Algebra.smul_def, ← sub_add, mul_smul_comm, sub_self, zero_add] #align clifford_algebra.contract_left_aux_contract_left_aux CliffordAlgebra.contractLeftAux_contractLeftAux variable {Q} def contractLeft : Module.Dual R M →ₗ[R] CliffordAlgebra Q →ₗ[R] CliffordAlgebra Q where toFun d := foldr' Q (contractLeftAux Q d) (contractLeftAux_contractLeftAux Q d) 0 map_add' d₁ d₂ := LinearMap.ext fun x => by dsimp only rw [LinearMap.add_apply] induction' x using CliffordAlgebra.left_induction with r x y hx hy m x hx · simp_rw [foldr'_algebraMap, smul_zero, zero_add] · rw [map_add, map_add, map_add, add_add_add_comm, hx, hy] · rw [foldr'_ι_mul, foldr'_ι_mul, foldr'_ι_mul, hx] dsimp only [contractLeftAux_apply_apply] rw [sub_add_sub_comm, mul_add, LinearMap.add_apply, add_smul] map_smul' c d := LinearMap.ext fun x => by dsimp only rw [LinearMap.smul_apply, RingHom.id_apply] induction' x using CliffordAlgebra.left_induction with r x y hx hy m x hx · simp_rw [foldr'_algebraMap, smul_zero] · rw [map_add, map_add, smul_add, hx, hy] · rw [foldr'_ι_mul, foldr'_ι_mul, hx] dsimp only [contractLeftAux_apply_apply] rw [LinearMap.smul_apply, smul_assoc, mul_smul_comm, smul_sub] #align clifford_algebra.contract_left CliffordAlgebra.contractLeft def contractRight : CliffordAlgebra Q →ₗ[R] Module.Dual R M →ₗ[R] CliffordAlgebra Q := LinearMap.flip (LinearMap.compl₂ (LinearMap.compr₂ contractLeft reverse) reverse) #align clifford_algebra.contract_right CliffordAlgebra.contractRight theorem contractRight_eq (x : CliffordAlgebra Q) : contractRight (Q := Q) x d = reverse (contractLeft (R := R) (M := M) d <| reverse x) := rfl #align clifford_algebra.contract_right_eq CliffordAlgebra.contractRight_eq local infixl:70 "⌋" => contractLeft (R := R) (M := M) local infixl:70 "⌊" => contractRight (R := R) (M := M) (Q := Q) -- Porting note: Lean needs to be reminded of this instance otherwise the statement of the -- next result times out instance : SMul R (CliffordAlgebra Q) := inferInstance theorem contractLeft_ι_mul (a : M) (b : CliffordAlgebra Q) : d⌋(ι Q a * b) = d a • b - ι Q a * (d⌋b) := by -- Porting note: Lean cannot figure out anymore the third argument refine foldr'_ι_mul _ _ ?_ _ _ _ exact fun m x fx ↦ contractLeftAux_contractLeftAux Q d m x fx #align clifford_algebra.contract_left_ι_mul CliffordAlgebra.contractLeft_ι_mul theorem contractRight_mul_ι (a : M) (b : CliffordAlgebra Q) : b * ι Q a⌊d = d a • b - b⌊d * ι Q a := by rw [contractRight_eq, reverse.map_mul, reverse_ι, contractLeft_ι_mul, map_sub, map_smul, reverse_reverse, reverse.map_mul, reverse_ι, contractRight_eq] #align clifford_algebra.contract_right_mul_ι CliffordAlgebra.contractRight_mul_ι
Mathlib/LinearAlgebra/CliffordAlgebra/Contraction.lean
144
146
theorem contractLeft_algebraMap_mul (r : R) (b : CliffordAlgebra Q) : d⌋(algebraMap _ _ r * b) = algebraMap _ _ r * (d⌋b) := by
rw [← Algebra.smul_def, map_smul, Algebra.smul_def]
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.Topology import Mathlib.Analysis.Normed.Group.Pointwise import Mathlib.Analysis.NormedSpace.AddTorsor #align_import analysis.convex.normed from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" variable {ι : Type*} {E P : Type*} open Metric Set open scoped Convex variable [SeminormedAddCommGroup E] [NormedSpace ℝ E] [PseudoMetricSpace P] [NormedAddTorsor E P] variable {s t : Set E} theorem convexOn_norm (hs : Convex ℝ s) : ConvexOn ℝ s norm := ⟨hs, fun x _ y _ a b ha hb _ => calc ‖a • x + b • y‖ ≤ ‖a • x‖ + ‖b • y‖ := norm_add_le _ _ _ = a * ‖x‖ + b * ‖y‖ := by rw [norm_smul, norm_smul, Real.norm_of_nonneg ha, Real.norm_of_nonneg hb]⟩ #align convex_on_norm convexOn_norm theorem convexOn_univ_norm : ConvexOn ℝ univ (norm : E → ℝ) := convexOn_norm convex_univ #align convex_on_univ_norm convexOn_univ_norm theorem convexOn_dist (z : E) (hs : Convex ℝ s) : ConvexOn ℝ s fun z' => dist z' z := by simpa [dist_eq_norm, preimage_preimage] using (convexOn_norm (hs.translate (-z))).comp_affineMap (AffineMap.id ℝ E - AffineMap.const ℝ E z) #align convex_on_dist convexOn_dist theorem convexOn_univ_dist (z : E) : ConvexOn ℝ univ fun z' => dist z' z := convexOn_dist z convex_univ #align convex_on_univ_dist convexOn_univ_dist theorem convex_ball (a : E) (r : ℝ) : Convex ℝ (Metric.ball a r) := by simpa only [Metric.ball, sep_univ] using (convexOn_univ_dist a).convex_lt r #align convex_ball convex_ball theorem convex_closedBall (a : E) (r : ℝ) : Convex ℝ (Metric.closedBall a r) := by simpa only [Metric.closedBall, sep_univ] using (convexOn_univ_dist a).convex_le r #align convex_closed_ball convex_closedBall theorem Convex.thickening (hs : Convex ℝ s) (δ : ℝ) : Convex ℝ (thickening δ s) := by rw [← add_ball_zero] exact hs.add (convex_ball 0 _) #align convex.thickening Convex.thickening
Mathlib/Analysis/Convex/Normed.lean
75
80
theorem Convex.cthickening (hs : Convex ℝ s) (δ : ℝ) : Convex ℝ (cthickening δ s) := by
obtain hδ | hδ := le_total 0 δ · rw [cthickening_eq_iInter_thickening hδ] exact convex_iInter₂ fun _ _ => hs.thickening _ · rw [cthickening_of_nonpos hδ] exact hs.closure
import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.GeomSum import Mathlib.Data.Fintype.BigOperators import Mathlib.RingTheory.PowerSeries.Inverse import Mathlib.RingTheory.PowerSeries.WellKnown import Mathlib.Tactic.FieldSimp #align_import number_theory.bernoulli from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Nat Finset Finset.Nat PowerSeries variable (A : Type*) [CommRing A] [Algebra ℚ A] def bernoulli' : ℕ → ℚ := WellFounded.fix Nat.lt_wfRel.wf fun n bernoulli' => 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k k.2 #align bernoulli' bernoulli' theorem bernoulli'_def' (n : ℕ) : bernoulli' n = 1 - ∑ k : Fin n, n.choose k / (n - k + 1) * bernoulli' k := WellFounded.fix_eq _ _ _ #align bernoulli'_def' bernoulli'_def' theorem bernoulli'_def (n : ℕ) : bernoulli' n = 1 - ∑ k ∈ range n, n.choose k / (n - k + 1) * bernoulli' k := by rw [bernoulli'_def', ← Fin.sum_univ_eq_sum_range] #align bernoulli'_def bernoulli'_def theorem bernoulli'_spec (n : ℕ) : (∑ k ∈ range n.succ, (n.choose (n - k) : ℚ) / (n - k + 1) * bernoulli' k) = 1 := by rw [sum_range_succ_comm, bernoulli'_def n, tsub_self, choose_zero_right, sub_self, zero_add, div_one, cast_one, one_mul, sub_add, ← sum_sub_distrib, ← sub_eq_zero, sub_sub_cancel_left, neg_eq_zero] exact Finset.sum_eq_zero (fun x hx => by rw [choose_symm (le_of_lt (mem_range.1 hx)), sub_self]) #align bernoulli'_spec bernoulli'_spec theorem bernoulli'_spec' (n : ℕ) : (∑ k ∈ antidiagonal n, ((k.1 + k.2).choose k.2 : ℚ) / (k.2 + 1) * bernoulli' k.1) = 1 := by refine ((sum_antidiagonal_eq_sum_range_succ_mk _ n).trans ?_).trans (bernoulli'_spec n) refine sum_congr rfl fun x hx => ?_ simp only [add_tsub_cancel_of_le, mem_range_succ_iff.mp hx, cast_sub] #align bernoulli'_spec' bernoulli'_spec' section Examples @[simp] theorem bernoulli'_zero : bernoulli' 0 = 1 := by rw [bernoulli'_def] norm_num #align bernoulli'_zero bernoulli'_zero @[simp]
Mathlib/NumberTheory/Bernoulli.lean
110
112
theorem bernoulli'_one : bernoulli' 1 = 1 / 2 := by
rw [bernoulli'_def] norm_num
import Mathlib.Order.Filter.Bases #align_import order.filter.pi from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Set Function open scoped Classical open Filter namespace Filter variable {ι : Type*} {α : ι → Type*} {f f₁ f₂ : (i : ι) → Filter (α i)} {s : (i : ι) → Set (α i)} {p : ∀ i, α i → Prop} section CoprodCat -- for "Coprod" set_option linter.uppercaseLean3 false protected def coprodᵢ (f : ∀ i, Filter (α i)) : Filter (∀ i, α i) := ⨆ i : ι, comap (eval i) (f i) #align filter.Coprod Filter.coprodᵢ theorem mem_coprodᵢ_iff {s : Set (∀ i, α i)} : s ∈ Filter.coprodᵢ f ↔ ∀ i : ι, ∃ t₁ ∈ f i, eval i ⁻¹' t₁ ⊆ s := by simp [Filter.coprodᵢ] #align filter.mem_Coprod_iff Filter.mem_coprodᵢ_iff theorem compl_mem_coprodᵢ {s : Set (∀ i, α i)} : sᶜ ∈ Filter.coprodᵢ f ↔ ∀ i, (eval i '' s)ᶜ ∈ f i := by simp only [Filter.coprodᵢ, mem_iSup, compl_mem_comap] #align filter.compl_mem_Coprod Filter.compl_mem_coprodᵢ theorem coprodᵢ_neBot_iff' : NeBot (Filter.coprodᵢ f) ↔ (∀ i, Nonempty (α i)) ∧ ∃ d, NeBot (f d) := by simp only [Filter.coprodᵢ, iSup_neBot, ← exists_and_left, ← comap_eval_neBot_iff'] #align filter.Coprod_ne_bot_iff' Filter.coprodᵢ_neBot_iff' @[simp] theorem coprodᵢ_neBot_iff [∀ i, Nonempty (α i)] : NeBot (Filter.coprodᵢ f) ↔ ∃ d, NeBot (f d) := by simp [coprodᵢ_neBot_iff', *] #align filter.Coprod_ne_bot_iff Filter.coprodᵢ_neBot_iff theorem coprodᵢ_eq_bot_iff' : Filter.coprodᵢ f = ⊥ ↔ (∃ i, IsEmpty (α i)) ∨ f = ⊥ := by simpa only [not_neBot, not_and_or, funext_iff, not_forall, not_exists, not_nonempty_iff] using coprodᵢ_neBot_iff'.not #align filter.Coprod_eq_bot_iff' Filter.coprodᵢ_eq_bot_iff' @[simp]
Mathlib/Order/Filter/Pi.lean
254
255
theorem coprodᵢ_eq_bot_iff [∀ i, Nonempty (α i)] : Filter.coprodᵢ f = ⊥ ↔ f = ⊥ := by
simpa [funext_iff] using coprodᵢ_neBot_iff.not
import Mathlib.RingTheory.DedekindDomain.Dvr import Mathlib.RingTheory.DedekindDomain.Ideal #align_import ring_theory.dedekind_domain.pid from "leanprover-community/mathlib"@"6010cf523816335f7bae7f8584cb2edaace73940" variable {R : Type*} [CommRing R] open Ideal open UniqueFactorizationMonoid open scoped nonZeroDivisors open UniqueFactorizationMonoid
Mathlib/RingTheory/DedekindDomain/PID.lean
38
74
theorem Ideal.eq_span_singleton_of_mem_of_not_mem_sq_of_not_mem_prime_ne {P : Ideal R} (hP : P.IsPrime) [IsDedekindDomain R] {x : R} (x_mem : x ∈ P) (hxP2 : x ∉ P ^ 2) (hxQ : ∀ Q : Ideal R, IsPrime Q → Q ≠ P → x ∉ Q) : P = Ideal.span {x} := by
letI := Classical.decEq (Ideal R) have hx0 : x ≠ 0 := by rintro rfl exact hxP2 (zero_mem _) by_cases hP0 : P = ⊥ · subst hP0 -- Porting note: was `simpa using hxP2` but that hypothesis didn't even seem relevant in Lean 3 rwa [eq_comm, span_singleton_eq_bot, ← mem_bot] have hspan0 : span ({x} : Set R) ≠ ⊥ := mt Ideal.span_singleton_eq_bot.mp hx0 have span_le := (Ideal.span_singleton_le_iff_mem _).mpr x_mem refine associated_iff_eq.mp ((associated_iff_normalizedFactors_eq_normalizedFactors hP0 hspan0).mpr (le_antisymm ((dvd_iff_normalizedFactors_le_normalizedFactors hP0 hspan0).mp ?_) ?_)) · rwa [Ideal.dvd_iff_le, Ideal.span_singleton_le_iff_mem] simp only [normalizedFactors_irreducible (Ideal.prime_of_isPrime hP0 hP).irreducible, normalize_eq, Multiset.le_iff_count, Multiset.count_singleton] intro Q split_ifs with hQ · subst hQ refine (Ideal.count_normalizedFactors_eq ?_ ?_).le <;> simp only [Ideal.span_singleton_le_iff_mem, pow_one] <;> assumption by_cases hQp : IsPrime Q · refine (Ideal.count_normalizedFactors_eq ?_ ?_).le <;> -- Porting note: included `zero_add` in the simp arguments simp only [Ideal.span_singleton_le_iff_mem, zero_add, pow_one, pow_zero, one_eq_top, Submodule.mem_top] exact hxQ _ hQp hQ · exact (Multiset.count_eq_zero.mpr fun hQi => hQp (isPrime_of_prime (irreducible_iff_prime.mp (irreducible_of_normalized_factor _ hQi)))).le
import Mathlib.Combinatorics.SimpleGraph.AdjMatrix import Mathlib.LinearAlgebra.Matrix.PosDef open Finset Matrix namespace SimpleGraph variable {V : Type*} (R : Type*) variable [Fintype V] [DecidableEq V] (G : SimpleGraph V) [DecidableRel G.Adj] def degMatrix [AddMonoidWithOne R] : Matrix V V R := Matrix.diagonal (G.degree ·) def lapMatrix [AddGroupWithOne R] : Matrix V V R := G.degMatrix R - G.adjMatrix R variable {R} theorem isSymm_degMatrix [AddMonoidWithOne R] : (G.degMatrix R).IsSymm := isSymm_diagonal _ theorem isSymm_lapMatrix [AddGroupWithOne R] : (G.lapMatrix R).IsSymm := (isSymm_degMatrix _).sub (isSymm_adjMatrix _) theorem degMatrix_mulVec_apply [NonAssocSemiring R] (v : V) (vec : V → R) : (G.degMatrix R *ᵥ vec) v = G.degree v * vec v := by rw [degMatrix, mulVec_diagonal] theorem lapMatrix_mulVec_apply [NonAssocRing R] (v : V) (vec : V → R) : (G.lapMatrix R *ᵥ vec) v = G.degree v * vec v - ∑ u ∈ G.neighborFinset v, vec u := by simp_rw [lapMatrix, sub_mulVec, Pi.sub_apply, degMatrix_mulVec_apply, adjMatrix_mulVec_apply] theorem lapMatrix_mulVec_const_eq_zero [Ring R] : mulVec (G.lapMatrix R) (fun _ ↦ 1) = 0 := by ext1 i rw [lapMatrix_mulVec_apply] simp theorem dotProduct_mulVec_degMatrix [CommRing R] (x : V → R) : x ⬝ᵥ (G.degMatrix R *ᵥ x) = ∑ i : V, G.degree i * x i * x i := by simp only [dotProduct, degMatrix, mulVec_diagonal, ← mul_assoc, mul_comm] variable (R) theorem degree_eq_sum_if_adj [AddCommMonoidWithOne R] (i : V) : (G.degree i : R) = ∑ j : V, if G.Adj i j then 1 else 0 := by unfold degree neighborFinset neighborSet rw [sum_boole, Set.toFinset_setOf] theorem lapMatrix_toLinearMap₂' [Field R] [CharZero R] (x : V → R) : toLinearMap₂' (G.lapMatrix R) x x = (∑ i : V, ∑ j : V, if G.Adj i j then (x i - x j)^2 else 0) / 2 := by simp_rw [toLinearMap₂'_apply', lapMatrix, sub_mulVec, dotProduct_sub, dotProduct_mulVec_degMatrix, dotProduct_mulVec_adjMatrix, ← sum_sub_distrib, degree_eq_sum_if_adj, sum_mul, ite_mul, one_mul, zero_mul, ← sum_sub_distrib, ite_sub_ite, sub_zero] rw [← half_add_self (∑ x_1 : V, ∑ x_2 : V, _)] conv_lhs => enter [1,2,2,i,2,j]; rw [if_congr (adj_comm G i j) rfl rfl] conv_lhs => enter [1,2]; rw [Finset.sum_comm] simp_rw [← sum_add_distrib, ite_add_ite] congr 2 with i congr 2 with j ring_nf theorem posSemidef_lapMatrix [LinearOrderedField R] [StarRing R] [StarOrderedRing R] [TrivialStar R] : PosSemidef (G.lapMatrix R) := by constructor · rw [IsHermitian, conjTranspose_eq_transpose_of_trivial, isSymm_lapMatrix] · intro x rw [star_trivial, ← toLinearMap₂'_apply', lapMatrix_toLinearMap₂'] positivity theorem lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_adj [LinearOrderedField R] (x : V → R) : Matrix.toLinearMap₂' (G.lapMatrix R) x x = 0 ↔ ∀ i j : V, G.Adj i j → x i = x j := by simp (disch := intros; positivity) [lapMatrix_toLinearMap₂', sum_eq_zero_iff_of_nonneg, sub_eq_zero] theorem lapMatrix_toLin'_apply_eq_zero_iff_forall_adj (x : V → ℝ) : Matrix.toLin' (G.lapMatrix ℝ) x = 0 ↔ ∀ i j : V, G.Adj i j → x i = x j := by rw [← (posSemidef_lapMatrix ℝ G).toLinearMap₂'_zero_iff, star_trivial, lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_adj]
Mathlib/Combinatorics/SimpleGraph/LapMatrix.lean
108
115
theorem lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_reachable (x : V → ℝ) : Matrix.toLinearMap₂' (G.lapMatrix ℝ) x x = 0 ↔ ∀ i j : V, G.Reachable i j → x i = x j := by
rw [lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_adj] refine ⟨?_, fun h i j hA ↦ h i j hA.reachable⟩ intro h i j ⟨w⟩ induction' w with w i j _ hA _ h' · rfl · exact (h i j hA).trans h'
import Mathlib.CategoryTheory.Opposites #align_import category_theory.eq_to_hom from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe v₁ v₂ v₃ u₁ u₂ u₃ -- morphism levels before object levels. See note [CategoryTheory universes]. namespace CategoryTheory open Opposite variable {C : Type u₁} [Category.{v₁} C] def eqToHom {X Y : C} (p : X = Y) : X ⟶ Y := by rw [p]; exact 𝟙 _ #align category_theory.eq_to_hom CategoryTheory.eqToHom @[simp] theorem eqToHom_refl (X : C) (p : X = X) : eqToHom p = 𝟙 X := rfl #align category_theory.eq_to_hom_refl CategoryTheory.eqToHom_refl @[reassoc (attr := simp)] theorem eqToHom_trans {X Y Z : C} (p : X = Y) (q : Y = Z) : eqToHom p ≫ eqToHom q = eqToHom (p.trans q) := by cases p cases q simp #align category_theory.eq_to_hom_trans CategoryTheory.eqToHom_trans theorem comp_eqToHom_iff {X Y Y' : C} (p : Y = Y') (f : X ⟶ Y) (g : X ⟶ Y') : f ≫ eqToHom p = g ↔ f = g ≫ eqToHom p.symm := { mp := fun h => h ▸ by simp mpr := fun h => by simp [eq_whisker h (eqToHom p)] } #align category_theory.comp_eq_to_hom_iff CategoryTheory.comp_eqToHom_iff theorem eqToHom_comp_iff {X X' Y : C} (p : X = X') (f : X ⟶ Y) (g : X' ⟶ Y) : eqToHom p ≫ g = f ↔ g = eqToHom p.symm ≫ f := { mp := fun h => h ▸ by simp mpr := fun h => h ▸ by simp [whisker_eq _ h] } #align category_theory.eq_to_hom_comp_iff CategoryTheory.eqToHom_comp_iff variable {β : Sort*} -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_naturality {f g : β → C} (z : ∀ b, f b ⟶ g b) {j j' : β} (w : j = j') : z j ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ z j' := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_hom_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).hom ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').hom := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_inv_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).inv ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').inv := by cases w simp @[simp, nolint simpNF] theorem congrArg_cast_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : cast (congrArg (fun W : C => W ⟶ Z) p.symm) q = eqToHom p ≫ q := by cases p simp
Mathlib/CategoryTheory/EqToHom.lean
116
119
theorem congrArg_mpr_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : (congrArg (fun W : C => W ⟶ Z) p).mpr q = eqToHom p ≫ q := by
cases p simp
import Mathlib.CategoryTheory.Category.Grpd import Mathlib.CategoryTheory.Groupoid import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Homotopy.Path import Mathlib.Data.Set.Subsingleton #align_import algebraic_topology.fundamental_groupoid.basic from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042" open CategoryTheory universe u v variable {X : Type u} {Y : Type v} [TopologicalSpace X] [TopologicalSpace Y] variable {x₀ x₁ : X} noncomputable section open unitInterval namespace Path namespace Homotopy section def reflTransSymmAux (x : I × I) : ℝ := if (x.2 : ℝ) ≤ 1 / 2 then x.1 * 2 * x.2 else x.1 * (2 - 2 * x.2) #align path.homotopy.refl_trans_symm_aux Path.Homotopy.reflTransSymmAux @[continuity] theorem continuous_reflTransSymmAux : Continuous reflTransSymmAux := by refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_ · continuity · continuity · continuity · continuity intro x hx norm_num [hx, mul_assoc] #align path.homotopy.continuous_refl_trans_symm_aux Path.Homotopy.continuous_reflTransSymmAux theorem reflTransSymmAux_mem_I (x : I × I) : reflTransSymmAux x ∈ I := by dsimp only [reflTransSymmAux] split_ifs · constructor · apply mul_nonneg · apply mul_nonneg · unit_interval · norm_num · unit_interval · rw [mul_assoc] apply mul_le_one · unit_interval · apply mul_nonneg · norm_num · unit_interval · linarith · constructor · apply mul_nonneg · unit_interval linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2] · apply mul_le_one · unit_interval · linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2] · linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2] set_option linter.uppercaseLean3 false in #align path.homotopy.refl_trans_symm_aux_mem_I Path.Homotopy.reflTransSymmAux_mem_I def reflTransSymm (p : Path x₀ x₁) : Homotopy (Path.refl x₀) (p.trans p.symm) where toFun x := p ⟨reflTransSymmAux x, reflTransSymmAux_mem_I x⟩ continuous_toFun := by continuity map_zero_left := by simp [reflTransSymmAux] map_one_left x := by dsimp only [reflTransSymmAux, Path.coe_toContinuousMap, Path.trans] change _ = ite _ _ _ split_ifs with h · rw [Path.extend, Set.IccExtend_of_mem] · norm_num · rw [unitInterval.mul_pos_mem_iff zero_lt_two] exact ⟨unitInterval.nonneg x, h⟩ · rw [Path.symm, Path.extend, Set.IccExtend_of_mem] · simp only [Set.Icc.coe_one, one_mul, coe_mk_mk, Function.comp_apply] congr 1 ext norm_num [sub_sub_eq_add_sub] · rw [unitInterval.two_mul_sub_one_mem_iff] exact ⟨(not_le.1 h).le, unitInterval.le_one x⟩ prop' t x hx := by simp only [Set.mem_singleton_iff, Set.mem_insert_iff] at hx simp only [ContinuousMap.coe_mk, coe_toContinuousMap, Path.refl_apply] cases hx with | inl hx | inr hx => set_option tactic.skipAssignedInstances false in rw [hx] norm_num [reflTransSymmAux] #align path.homotopy.refl_trans_symm Path.Homotopy.reflTransSymm def reflSymmTrans (p : Path x₀ x₁) : Homotopy (Path.refl x₁) (p.symm.trans p) := (reflTransSymm p.symm).cast rfl <| congr_arg _ (Path.symm_symm _) #align path.homotopy.refl_symm_trans Path.Homotopy.reflSymmTrans end section Assoc def transAssocReparamAux (t : I) : ℝ := if (t : ℝ) ≤ 1 / 4 then 2 * t else if (t : ℝ) ≤ 1 / 2 then t + 1 / 4 else 1 / 2 * (t + 1) #align path.homotopy.trans_assoc_reparam_aux Path.Homotopy.transAssocReparamAux @[continuity]
Mathlib/AlgebraicTopology/FundamentalGroupoid/Basic.lean
189
197
theorem continuous_transAssocReparamAux : Continuous transAssocReparamAux := by
refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_).continuousOn ?_ <;> [continuity; continuity; continuity; continuity; continuity; continuity; continuity; skip; skip] <;> · intro x hx set_option tactic.skipAssignedInstances false in norm_num [hx]
import Mathlib.RingTheory.Ideal.Operations import Mathlib.Algebra.Module.Torsion import Mathlib.Algebra.Ring.Idempotents import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.Filtration import Mathlib.RingTheory.Nakayama #align_import ring_theory.ideal.cotangent from "leanprover-community/mathlib"@"4b92a463033b5587bb011657e25e4710bfca7364" namespace Ideal -- Porting note: universes need to be explicit to avoid bad universe levels in `quotCotangent` universe u v w variable {R : Type u} {S : Type v} {S' : Type w} [CommRing R] [CommSemiring S] [Algebra S R] variable [CommSemiring S'] [Algebra S' R] [Algebra S S'] [IsScalarTower S S' R] (I : Ideal R) -- Porting note: instances that were derived automatically need to be proved by hand (see below) def Cotangent : Type _ := I ⧸ (I • ⊤ : Submodule R I) #align ideal.cotangent Ideal.Cotangent instance : AddCommGroup I.Cotangent := by delta Cotangent; infer_instance instance cotangentModule : Module (R ⧸ I) I.Cotangent := by delta Cotangent; infer_instance instance : Inhabited I.Cotangent := ⟨0⟩ instance Cotangent.moduleOfTower : Module S I.Cotangent := Submodule.Quotient.module' _ #align ideal.cotangent.module_of_tower Ideal.Cotangent.moduleOfTower instance Cotangent.isScalarTower : IsScalarTower S S' I.Cotangent := Submodule.Quotient.isScalarTower _ _ #align ideal.cotangent.is_scalar_tower Ideal.Cotangent.isScalarTower instance [IsNoetherian R I] : IsNoetherian R I.Cotangent := inferInstanceAs (IsNoetherian R (I ⧸ (I • ⊤ : Submodule R I))) @[simps! (config := .lemmasOnly) apply] def toCotangent : I →ₗ[R] I.Cotangent := Submodule.mkQ _ #align ideal.to_cotangent Ideal.toCotangent theorem map_toCotangent_ker : I.toCotangent.ker.map I.subtype = I ^ 2 := by rw [Ideal.toCotangent, Submodule.ker_mkQ, pow_two, Submodule.map_smul'' I ⊤ (Submodule.subtype I), Algebra.id.smul_eq_mul, Submodule.map_subtype_top] #align ideal.map_to_cotangent_ker Ideal.map_toCotangent_ker theorem mem_toCotangent_ker {x : I} : x ∈ LinearMap.ker I.toCotangent ↔ (x : R) ∈ I ^ 2 := by rw [← I.map_toCotangent_ker] simp #align ideal.mem_to_cotangent_ker Ideal.mem_toCotangent_ker theorem toCotangent_eq {x y : I} : I.toCotangent x = I.toCotangent y ↔ (x - y : R) ∈ I ^ 2 := by rw [← sub_eq_zero] exact I.mem_toCotangent_ker #align ideal.to_cotangent_eq Ideal.toCotangent_eq theorem toCotangent_eq_zero (x : I) : I.toCotangent x = 0 ↔ (x : R) ∈ I ^ 2 := I.mem_toCotangent_ker #align ideal.to_cotangent_eq_zero Ideal.toCotangent_eq_zero theorem toCotangent_surjective : Function.Surjective I.toCotangent := Submodule.mkQ_surjective _ #align ideal.to_cotangent_surjective Ideal.toCotangent_surjective theorem toCotangent_range : LinearMap.range I.toCotangent = ⊤ := Submodule.range_mkQ _ #align ideal.to_cotangent_range Ideal.toCotangent_range theorem cotangent_subsingleton_iff : Subsingleton I.Cotangent ↔ IsIdempotentElem I := by constructor · intro H refine (pow_two I).symm.trans (le_antisymm (Ideal.pow_le_self two_ne_zero) ?_) exact fun x hx => (I.toCotangent_eq_zero ⟨x, hx⟩).mp (Subsingleton.elim _ _) · exact fun e => ⟨fun x y => Quotient.inductionOn₂' x y fun x y => I.toCotangent_eq.mpr <| ((pow_two I).trans e).symm ▸ I.sub_mem x.prop y.prop⟩ #align ideal.cotangent_subsingleton_iff Ideal.cotangent_subsingleton_iff def cotangentToQuotientSquare : I.Cotangent →ₗ[R] R ⧸ I ^ 2 := Submodule.mapQ (I • ⊤) (I ^ 2) I.subtype (by rw [← Submodule.map_le_iff_le_comap, Submodule.map_smul'', Submodule.map_top, Submodule.range_subtype, smul_eq_mul, pow_two] ) #align ideal.cotangent_to_quotient_square Ideal.cotangentToQuotientSquare theorem to_quotient_square_comp_toCotangent : I.cotangentToQuotientSquare.comp I.toCotangent = (I ^ 2).mkQ.comp (Submodule.subtype I) := LinearMap.ext fun _ => rfl #align ideal.to_quotient_square_comp_to_cotangent Ideal.to_quotient_square_comp_toCotangent @[simp] theorem toCotangent_to_quotient_square (x : I) : I.cotangentToQuotientSquare (I.toCotangent x) = (I ^ 2).mkQ x := rfl #align ideal.to_cotangent_to_quotient_square Ideal.toCotangent_to_quotient_square def cotangentIdeal (I : Ideal R) : Ideal (R ⧸ I ^ 2) := Submodule.map (Quotient.mk (I ^ 2)|>.toSemilinearMap) I #align ideal.cotangent_ideal Ideal.cotangentIdeal theorem cotangentIdeal_square (I : Ideal R) : I.cotangentIdeal ^ 2 = ⊥ := by rw [eq_bot_iff, pow_two I.cotangentIdeal, ← smul_eq_mul] intro x hx refine Submodule.smul_induction_on hx ?_ ?_ · rintro _ ⟨x, hx, rfl⟩ _ ⟨y, hy, rfl⟩; apply (Submodule.Quotient.eq _).mpr _ rw [sub_zero, pow_two]; exact Ideal.mul_mem_mul hx hy · intro x y hx hy; exact add_mem hx hy #align ideal.cotangent_ideal_square Ideal.cotangentIdeal_square set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
Mathlib/RingTheory/Ideal/Cotangent.lean
132
136
theorem to_quotient_square_range : LinearMap.range I.cotangentToQuotientSquare = I.cotangentIdeal.restrictScalars R := by
trans LinearMap.range (I.cotangentToQuotientSquare.comp I.toCotangent) · rw [LinearMap.range_comp, I.toCotangent_range, Submodule.map_top] · rw [to_quotient_square_comp_toCotangent, LinearMap.range_comp, I.range_subtype]; ext; rfl
import Mathlib.Algebra.BigOperators.Group.Finset #align_import data.nat.gcd.big_operators from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" namespace Nat variable {ι : Type*} theorem coprime_list_prod_left_iff {l : List ℕ} {k : ℕ} : Coprime l.prod k ↔ ∀ n ∈ l, Coprime n k := by induction l <;> simp [Nat.coprime_mul_iff_left, *] theorem coprime_list_prod_right_iff {k : ℕ} {l : List ℕ} : Coprime k l.prod ↔ ∀ n ∈ l, Coprime k n := by simp_rw [coprime_comm (n := k), coprime_list_prod_left_iff] theorem coprime_multiset_prod_left_iff {m : Multiset ℕ} {k : ℕ} : Coprime m.prod k ↔ ∀ n ∈ m, Coprime n k := by induction m using Quotient.inductionOn; simpa using coprime_list_prod_left_iff
Mathlib/Data/Nat/GCD/BigOperators.lean
32
34
theorem coprime_multiset_prod_right_iff {k : ℕ} {m : Multiset ℕ} : Coprime k m.prod ↔ ∀ n ∈ m, Coprime k n := by
induction m using Quotient.inductionOn; simpa using coprime_list_prod_right_iff
import Mathlib.Algebra.GroupWithZero.Units.Lemmas import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Fintype.BigOperators #align_import data.sign from "leanprover-community/mathlib"@"2445c98ae4b87eabebdde552593519b9b6dc350c" -- Porting note (#11081): cannot automatically derive Fintype, added manually inductive SignType | zero | neg | pos deriving DecidableEq, Inhabited #align sign_type SignType -- Porting note: these lemmas are autogenerated by the inductive definition and are not -- in simple form due to the below `x_eq_x` lemmas attribute [nolint simpNF] SignType.zero.sizeOf_spec attribute [nolint simpNF] SignType.neg.sizeOf_spec attribute [nolint simpNF] SignType.pos.sizeOf_spec namespace SignType -- Porting note: Added Fintype SignType manually instance : Fintype SignType := Fintype.ofMultiset (zero :: neg :: pos :: List.nil) (fun x ↦ by cases x <;> simp) instance : Zero SignType := ⟨zero⟩ instance : One SignType := ⟨pos⟩ instance : Neg SignType := ⟨fun s => match s with | neg => pos | zero => zero | pos => neg⟩ @[simp] theorem zero_eq_zero : zero = 0 := rfl #align sign_type.zero_eq_zero SignType.zero_eq_zero @[simp] theorem neg_eq_neg_one : neg = -1 := rfl #align sign_type.neg_eq_neg_one SignType.neg_eq_neg_one @[simp] theorem pos_eq_one : pos = 1 := rfl #align sign_type.pos_eq_one SignType.pos_eq_one instance : Mul SignType := ⟨fun x y => match x with | neg => -y | zero => zero | pos => y⟩ protected inductive LE : SignType → SignType → Prop | of_neg (a) : SignType.LE neg a | zero : SignType.LE zero zero | of_pos (a) : SignType.LE a pos #align sign_type.le SignType.LE instance : LE SignType := ⟨SignType.LE⟩ instance LE.decidableRel : DecidableRel SignType.LE := fun a b => by cases a <;> cases b <;> first | exact isTrue (by constructor)| exact isFalse (by rintro ⟨_⟩) instance decidableEq : DecidableEq SignType := fun a b => by cases a <;> cases b <;> first | exact isTrue (by constructor)| exact isFalse (by rintro ⟨_⟩) private lemma mul_comm : ∀ (a b : SignType), a * b = b * a := by rintro ⟨⟩ ⟨⟩ <;> rfl private lemma mul_assoc : ∀ (a b c : SignType), (a * b) * c = a * (b * c) := by rintro ⟨⟩ ⟨⟩ ⟨⟩ <;> rfl instance : CommGroupWithZero SignType where zero := 0 one := 1 mul := (· * ·) inv := id mul_zero a := by cases a <;> rfl zero_mul a := by cases a <;> rfl mul_one a := by cases a <;> rfl one_mul a := by cases a <;> rfl mul_inv_cancel a ha := by cases a <;> trivial mul_comm := mul_comm mul_assoc := mul_assoc exists_pair_ne := ⟨0, 1, by rintro ⟨_⟩⟩ inv_zero := rfl private lemma le_antisymm (a b : SignType) (_ : a ≤ b) (_: b ≤ a) : a = b := by cases a <;> cases b <;> trivial private lemma le_trans (a b c : SignType) (_ : a ≤ b) (_: b ≤ c) : a ≤ c := by cases a <;> cases b <;> cases c <;> tauto instance : LinearOrder SignType where le := (· ≤ ·) le_refl a := by cases a <;> constructor le_total a b := by cases a <;> cases b <;> first | left; constructor | right; constructor le_antisymm := le_antisymm le_trans := le_trans decidableLE := LE.decidableRel decidableEq := SignType.decidableEq instance : BoundedOrder SignType where top := 1 le_top := LE.of_pos bot := -1 bot_le := LE.of_neg instance : HasDistribNeg SignType := { neg_neg := fun x => by cases x <;> rfl neg_mul := fun x y => by cases x <;> cases y <;> rfl mul_neg := fun x y => by cases x <;> cases y <;> rfl } def fin3Equiv : SignType ≃* Fin 3 where toFun a := match a with | 0 => ⟨0, by simp⟩ | 1 => ⟨1, by simp⟩ | -1 => ⟨2, by simp⟩ invFun a := match a with | ⟨0, _⟩ => 0 | ⟨1, _⟩ => 1 | ⟨2, _⟩ => -1 left_inv a := by cases a <;> rfl right_inv a := match a with | ⟨0, _⟩ => by simp | ⟨1, _⟩ => by simp | ⟨2, _⟩ => by simp map_mul' a b := by cases a <;> cases b <;> rfl #align sign_type.fin3_equiv SignType.fin3Equiv section CaseBashing -- Porting note: a lot of these thms used to use decide! which is not implemented yet theorem nonneg_iff {a : SignType} : 0 ≤ a ↔ a = 0 ∨ a = 1 := by cases a <;> decide #align sign_type.nonneg_iff SignType.nonneg_iff theorem nonneg_iff_ne_neg_one {a : SignType} : 0 ≤ a ↔ a ≠ -1 := by cases a <;> decide #align sign_type.nonneg_iff_ne_neg_one SignType.nonneg_iff_ne_neg_one theorem neg_one_lt_iff {a : SignType} : -1 < a ↔ 0 ≤ a := by cases a <;> decide #align sign_type.neg_one_lt_iff SignType.neg_one_lt_iff theorem nonpos_iff {a : SignType} : a ≤ 0 ↔ a = -1 ∨ a = 0 := by cases a <;> decide #align sign_type.nonpos_iff SignType.nonpos_iff
Mathlib/Data/Sign.lean
174
174
theorem nonpos_iff_ne_one {a : SignType} : a ≤ 0 ↔ a ≠ 1 := by
cases a <;> decide
import Mathlib.Algebra.MvPolynomial.Counit import Mathlib.Algebra.MvPolynomial.Invertible import Mathlib.RingTheory.WittVector.Defs #align_import ring_theory.witt_vector.basic from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a" noncomputable section open MvPolynomial Function variable {p : ℕ} {R S T : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] [CommRing T] variable {α : Type*} {β : Type*} local notation "𝕎" => WittVector p local notation "W_" => wittPolynomial p -- type as `\bbW` open scoped Witt namespace WittVector def mapFun (f : α → β) : 𝕎 α → 𝕎 β := fun x => mk _ (f ∘ x.coeff) #align witt_vector.map_fun WittVector.mapFun namespace mapFun -- Porting note: switched the proof to tactic mode. I think that `ext` was the issue. theorem injective (f : α → β) (hf : Injective f) : Injective (mapFun f : 𝕎 α → 𝕎 β) := by intros _ _ h ext p exact hf (congr_arg (fun x => coeff x p) h : _) #align witt_vector.map_fun.injective WittVector.mapFun.injective theorem surjective (f : α → β) (hf : Surjective f) : Surjective (mapFun f : 𝕎 α → 𝕎 β) := fun x => ⟨mk _ fun n => Classical.choose <| hf <| x.coeff n, by ext n; simp only [mapFun, coeff_mk, comp_apply, Classical.choose_spec (hf (x.coeff n))]⟩ #align witt_vector.map_fun.surjective WittVector.mapFun.surjective -- Porting note: using `(x y : 𝕎 R)` instead of `(x y : WittVector p R)` produced sorries. variable (f : R →+* S) (x y : WittVector p R) -- porting note: a very crude port. macro "map_fun_tac" : tactic => `(tactic| ( ext n simp only [mapFun, mk, comp_apply, zero_coeff, map_zero, -- Porting note: the lemmas on the next line do not have the `simp` tag in mathlib4 add_coeff, sub_coeff, mul_coeff, neg_coeff, nsmul_coeff, zsmul_coeff, pow_coeff, peval, map_aeval, algebraMap_int_eq, coe_eval₂Hom] <;> try { cases n <;> simp <;> done } <;> -- Porting note: this line solves `one` apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl <;> ext ⟨i, k⟩ <;> fin_cases i <;> rfl)) -- and until `pow`. -- We do not tag these lemmas as `@[simp]` because they will be bundled in `map` later on. theorem zero : mapFun f (0 : 𝕎 R) = 0 := by map_fun_tac #align witt_vector.map_fun.zero WittVector.mapFun.zero theorem one : mapFun f (1 : 𝕎 R) = 1 := by map_fun_tac #align witt_vector.map_fun.one WittVector.mapFun.one theorem add : mapFun f (x + y) = mapFun f x + mapFun f y := by map_fun_tac #align witt_vector.map_fun.add WittVector.mapFun.add
Mathlib/RingTheory/WittVector/Basic.lean
111
111
theorem sub : mapFun f (x - y) = mapFun f x - mapFun f y := by
map_fun_tac
import Mathlib.Algebra.Homology.ComplexShape import Mathlib.CategoryTheory.Subobject.Limits import Mathlib.CategoryTheory.GradedObject import Mathlib.Algebra.Homology.ShortComplex.Basic #align_import algebra.homology.homological_complex from "leanprover-community/mathlib"@"88bca0ce5d22ebfd9e73e682e51d60ea13b48347" universe v u open CategoryTheory CategoryTheory.Category CategoryTheory.Limits variable {ι : Type*} variable (V : Type u) [Category.{v} V] [HasZeroMorphisms V] structure HomologicalComplex (c : ComplexShape ι) where X : ι → V d : ∀ i j, X i ⟶ X j shape : ∀ i j, ¬c.Rel i j → d i j = 0 := by aesop_cat d_comp_d' : ∀ i j k, c.Rel i j → c.Rel j k → d i j ≫ d j k = 0 := by aesop_cat #align homological_complex HomologicalComplex abbrev ChainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ := HomologicalComplex V (ComplexShape.down α) #align chain_complex ChainComplex abbrev CochainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ := HomologicalComplex V (ComplexShape.up α) #align cochain_complex CochainComplex namespace HomologicalComplex variable {V} variable {c : ComplexShape ι} (C : HomologicalComplex V c) @[ext] structure Hom (A B : HomologicalComplex V c) where f : ∀ i, A.X i ⟶ B.X i comm' : ∀ i j, c.Rel i j → f i ≫ B.d i j = A.d i j ≫ f j := by aesop_cat #align homological_complex.hom HomologicalComplex.Hom @[reassoc (attr := simp)] theorem Hom.comm {A B : HomologicalComplex V c} (f : A.Hom B) (i j : ι) : f.f i ≫ B.d i j = A.d i j ≫ f.f j := by by_cases hij : c.Rel i j · exact f.comm' i j hij · rw [A.shape i j hij, B.shape i j hij, comp_zero, zero_comp] #align homological_complex.hom.comm HomologicalComplex.Hom.comm instance (A B : HomologicalComplex V c) : Inhabited (Hom A B) := ⟨{ f := fun i => 0 }⟩ def id (A : HomologicalComplex V c) : Hom A A where f _ := 𝟙 _ #align homological_complex.id HomologicalComplex.id def comp (A B C : HomologicalComplex V c) (φ : Hom A B) (ψ : Hom B C) : Hom A C where f i := φ.f i ≫ ψ.f i #align homological_complex.comp HomologicalComplex.comp section attribute [local simp] id comp instance : Category (HomologicalComplex V c) where Hom := Hom id := id comp := comp _ _ _ end -- Porting note: added because `Hom.ext` is not triggered automatically @[ext] lemma hom_ext {C D : HomologicalComplex V c} (f g : C ⟶ D) (h : ∀ i, f.f i = g.f i) : f = g := by apply Hom.ext funext apply h @[simp] theorem id_f (C : HomologicalComplex V c) (i : ι) : Hom.f (𝟙 C) i = 𝟙 (C.X i) := rfl #align homological_complex.id_f HomologicalComplex.id_f @[simp, reassoc] theorem comp_f {C₁ C₂ C₃ : HomologicalComplex V c} (f : C₁ ⟶ C₂) (g : C₂ ⟶ C₃) (i : ι) : (f ≫ g).f i = f.f i ≫ g.f i := rfl #align homological_complex.comp_f HomologicalComplex.comp_f @[simp] theorem eqToHom_f {C₁ C₂ : HomologicalComplex V c} (h : C₁ = C₂) (n : ι) : HomologicalComplex.Hom.f (eqToHom h) n = eqToHom (congr_fun (congr_arg HomologicalComplex.X h) n) := by subst h rfl #align homological_complex.eq_to_hom_f HomologicalComplex.eqToHom_f -- We'll use this later to show that `HomologicalComplex V c` is preadditive when `V` is. theorem hom_f_injective {C₁ C₂ : HomologicalComplex V c} : Function.Injective fun f : Hom C₁ C₂ => f.f := by aesop_cat #align homological_complex.hom_f_injective HomologicalComplex.hom_f_injective instance (X Y : HomologicalComplex V c) : Zero (X ⟶ Y) := ⟨{ f := fun i => 0}⟩ @[simp] theorem zero_f (C D : HomologicalComplex V c) (i : ι) : (0 : C ⟶ D).f i = 0 := rfl #align homological_complex.zero_apply HomologicalComplex.zero_f instance : HasZeroMorphisms (HomologicalComplex V c) where open ZeroObject noncomputable def zero [HasZeroObject V] : HomologicalComplex V c where X _ := 0 d _ _ := 0 #align homological_complex.zero HomologicalComplex.zero
Mathlib/Algebra/Homology/HomologicalComplex.lean
316
321
theorem isZero_zero [HasZeroObject V] : IsZero (zero : HomologicalComplex V c) := by
refine ⟨fun X => ⟨⟨⟨0⟩, fun f => ?_⟩⟩, fun X => ⟨⟨⟨0⟩, fun f => ?_⟩⟩⟩ all_goals ext dsimp [zero] apply Subsingleton.elim
import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import measure_theory.function.egorov from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open MeasureTheory NNReal ENNReal Topology namespace MeasureTheory open Set Filter TopologicalSpace variable {α β ι : Type*} {m : MeasurableSpace α} [MetricSpace β] {μ : Measure α} namespace Egorov def notConvergentSeq [Preorder ι] (f : ι → α → β) (g : α → β) (n : ℕ) (j : ι) : Set α := ⋃ (k) (_ : j ≤ k), { x | 1 / (n + 1 : ℝ) < dist (f k x) (g x) } #align measure_theory.egorov.not_convergent_seq MeasureTheory.Egorov.notConvergentSeq variable {n : ℕ} {i j : ι} {s : Set α} {ε : ℝ} {f : ι → α → β} {g : α → β} theorem mem_notConvergentSeq_iff [Preorder ι] {x : α} : x ∈ notConvergentSeq f g n j ↔ ∃ k ≥ j, 1 / (n + 1 : ℝ) < dist (f k x) (g x) := by simp_rw [notConvergentSeq, Set.mem_iUnion, exists_prop, mem_setOf] #align measure_theory.egorov.mem_not_convergent_seq_iff MeasureTheory.Egorov.mem_notConvergentSeq_iff theorem notConvergentSeq_antitone [Preorder ι] : Antitone (notConvergentSeq f g n) := fun _ _ hjk => Set.iUnion₂_mono' fun l hl => ⟨l, le_trans hjk hl, Set.Subset.rfl⟩ #align measure_theory.egorov.not_convergent_seq_antitone MeasureTheory.Egorov.notConvergentSeq_antitone
Mathlib/MeasureTheory/Function/Egorov.lean
59
70
theorem measure_inter_notConvergentSeq_eq_zero [SemilatticeSup ι] [Nonempty ι] (hfg : ∀ᵐ x ∂μ, x ∈ s → Tendsto (fun n => f n x) atTop (𝓝 (g x))) (n : ℕ) : μ (s ∩ ⋂ j, notConvergentSeq f g n j) = 0 := by
simp_rw [Metric.tendsto_atTop, ae_iff] at hfg rw [← nonpos_iff_eq_zero, ← hfg] refine measure_mono fun x => ?_ simp only [Set.mem_inter_iff, Set.mem_iInter, ge_iff_le, mem_notConvergentSeq_iff] push_neg rintro ⟨hmem, hx⟩ refine ⟨hmem, 1 / (n + 1 : ℝ), Nat.one_div_pos_of_nat, fun N => ?_⟩ obtain ⟨n, hn₁, hn₂⟩ := hx N exact ⟨n, hn₁, hn₂.le⟩
import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Combinatorics.SimpleGraph.Connectivity import Mathlib.LinearAlgebra.Matrix.Trace import Mathlib.LinearAlgebra.Matrix.Symmetric #align_import combinatorics.simple_graph.adj_matrix from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" open Matrix open Finset Matrix SimpleGraph variable {V α β : Type*} namespace Matrix structure IsAdjMatrix [Zero α] [One α] (A : Matrix V V α) : Prop where zero_or_one : ∀ i j, A i j = 0 ∨ A i j = 1 := by aesop symm : A.IsSymm := by aesop apply_diag : ∀ i, A i i = 0 := by aesop #align matrix.is_adj_matrix Matrix.IsAdjMatrix namespace IsAdjMatrix variable {A : Matrix V V α} @[simp] theorem apply_diag_ne [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i : V) : ¬A i i = 1 := by simp [h.apply_diag i] #align matrix.is_adj_matrix.apply_diag_ne Matrix.IsAdjMatrix.apply_diag_ne @[simp]
Mathlib/Combinatorics/SimpleGraph/AdjMatrix.lean
69
70
theorem apply_ne_one_iff [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i j : V) : ¬A i j = 1 ↔ A i j = 0 := by
obtain h | h := h.zero_or_one i j <;> simp [h]
import Mathlib.CategoryTheory.Adjunction.Reflective import Mathlib.Topology.StoneCech import Mathlib.CategoryTheory.Monad.Limits import Mathlib.Topology.UrysohnsLemma import Mathlib.Topology.Category.TopCat.Limits.Basic import Mathlib.Data.Set.Subsingleton import Mathlib.CategoryTheory.Elementwise #align_import topology.category.CompHaus.basic from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" universe v u -- This was a global instance prior to #13170. We may experiment with removing it. attribute [local instance] CategoryTheory.ConcreteCategory.instFunLike open CategoryTheory structure CompHaus where toTop : TopCat -- Porting note: Renamed field. [is_compact : CompactSpace toTop] [is_hausdorff : T2Space toTop] set_option linter.uppercaseLean3 false in #align CompHaus CompHaus namespace CompHaus instance : Inhabited CompHaus := ⟨{ toTop := { α := PEmpty } }⟩ instance : CoeSort CompHaus Type* := ⟨fun X => X.toTop⟩ instance {X : CompHaus} : CompactSpace X := X.is_compact instance {X : CompHaus} : T2Space X := X.is_hausdorff instance category : Category CompHaus := InducedCategory.category toTop set_option linter.uppercaseLean3 false in #align CompHaus.category CompHaus.category instance concreteCategory : ConcreteCategory CompHaus := InducedCategory.concreteCategory _ set_option linter.uppercaseLean3 false in #align CompHaus.concrete_category CompHaus.concreteCategory variable (X : Type*) [TopologicalSpace X] [CompactSpace X] [T2Space X] def of : CompHaus where toTop := TopCat.of X is_compact := ‹_› is_hausdorff := ‹_› set_option linter.uppercaseLean3 false in #align CompHaus.of CompHaus.of @[simp] theorem coe_of : (CompHaus.of X : Type _) = X := rfl set_option linter.uppercaseLean3 false in #align CompHaus.coe_of CompHaus.coe_of -- Porting note (#10754): Adding instance instance (X : CompHaus.{u}) : TopologicalSpace ((forget CompHaus).obj X) := show TopologicalSpace X.toTop from inferInstance -- Porting note (#10754): Adding instance instance (X : CompHaus.{u}) : CompactSpace ((forget CompHaus).obj X) := show CompactSpace X.toTop from inferInstance -- Porting note (#10754): Adding instance instance (X : CompHaus.{u}) : T2Space ((forget CompHaus).obj X) := show T2Space X.toTop from inferInstance theorem isClosedMap {X Y : CompHaus.{u}} (f : X ⟶ Y) : IsClosedMap f := fun _ hC => (hC.isCompact.image f.continuous).isClosed set_option linter.uppercaseLean3 false in #align CompHaus.is_closed_map CompHaus.isClosedMap
Mathlib/Topology/Category/CompHaus/Basic.lean
123
135
theorem isIso_of_bijective {X Y : CompHaus.{u}} (f : X ⟶ Y) (bij : Function.Bijective f) : IsIso f := by
let E := Equiv.ofBijective _ bij have hE : Continuous E.symm := by rw [continuous_iff_isClosed] intro S hS rw [← E.image_eq_preimage] exact isClosedMap f S hS refine ⟨⟨⟨E.symm, hE⟩, ?_, ?_⟩⟩ · ext x apply E.symm_apply_apply · ext x apply E.apply_symm_apply
import Mathlib.Data.List.Chain #align_import data.list.destutter from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213" variable {α : Type*} (l : List α) (R : α → α → Prop) [DecidableRel R] {a b : α} namespace List @[simp] theorem destutter'_nil : destutter' R a [] = [a] := rfl #align list.destutter'_nil List.destutter'_nil theorem destutter'_cons : (b :: l).destutter' R a = if R a b then a :: destutter' R b l else destutter' R a l := rfl #align list.destutter'_cons List.destutter'_cons variable {R} @[simp] theorem destutter'_cons_pos (h : R b a) : (a :: l).destutter' R b = b :: l.destutter' R a := by rw [destutter', if_pos h] #align list.destutter'_cons_pos List.destutter'_cons_pos @[simp] theorem destutter'_cons_neg (h : ¬R b a) : (a :: l).destutter' R b = l.destutter' R b := by rw [destutter', if_neg h] #align list.destutter'_cons_neg List.destutter'_cons_neg variable (R) @[simp]
Mathlib/Data/List/Destutter.lean
60
61
theorem destutter'_singleton : [b].destutter' R a = if R a b then [a, b] else [a] := by
split_ifs with h <;> simp! [h]
import Mathlib.Order.Filter.Basic #align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce" open Set open Filter namespace Filter variable {α β γ δ : Type*} {ι : Sort*} section Prod variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β} protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) := f.comap Prod.fst ⊓ g.comap Prod.snd #align filter.prod Filter.prod instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where sprod := Filter.prod theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g := inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht) #align filter.prod_mem_prod Filter.prod_mem_prod theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} : s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by simp only [SProd.sprod, Filter.prod] constructor · rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩ exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩ · rintro ⟨t₁, ht₁, t₂, ht₂, h⟩ exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h #align filter.mem_prod_iff Filter.mem_prod_iff @[simp] theorem prod_mem_prod_iff [f.NeBot] [g.NeBot] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g := ⟨fun h => let ⟨_s', hs', _t', ht', H⟩ := mem_prod_iff.1 h (prod_subset_prod_iff.1 H).elim (fun ⟨hs's, ht't⟩ => ⟨mem_of_superset hs' hs's, mem_of_superset ht' ht't⟩) fun h => h.elim (fun hs'e => absurd hs'e (nonempty_of_mem hs').ne_empty) fun ht'e => absurd ht'e (nonempty_of_mem ht').ne_empty, fun h => prod_mem_prod h.1 h.2⟩ #align filter.prod_mem_prod_iff Filter.prod_mem_prod_iff theorem mem_prod_principal {s : Set (α × β)} : s ∈ f ×ˢ 𝓟 t ↔ { a | ∀ b ∈ t, (a, b) ∈ s } ∈ f := by rw [← @exists_mem_subset_iff _ f, mem_prod_iff] refine exists_congr fun u => Iff.rfl.and ⟨?_, fun h => ⟨t, mem_principal_self t, ?_⟩⟩ · rintro ⟨v, v_in, hv⟩ a a_in b b_in exact hv (mk_mem_prod a_in <| v_in b_in) · rintro ⟨x, y⟩ ⟨hx, hy⟩ exact h hx y hy #align filter.mem_prod_principal Filter.mem_prod_principal theorem mem_prod_top {s : Set (α × β)} : s ∈ f ×ˢ (⊤ : Filter β) ↔ { a | ∀ b, (a, b) ∈ s } ∈ f := by rw [← principal_univ, mem_prod_principal] simp only [mem_univ, forall_true_left] #align filter.mem_prod_top Filter.mem_prod_top theorem eventually_prod_principal_iff {p : α × β → Prop} {s : Set β} : (∀ᶠ x : α × β in f ×ˢ 𝓟 s, p x) ↔ ∀ᶠ x : α in f, ∀ y : β, y ∈ s → p (x, y) := by rw [eventually_iff, eventually_iff, mem_prod_principal] simp only [mem_setOf_eq] #align filter.eventually_prod_principal_iff Filter.eventually_prod_principal_iff
Mathlib/Order/Filter/Prod.lean
107
109
theorem comap_prod (f : α → β × γ) (b : Filter β) (c : Filter γ) : comap f (b ×ˢ c) = comap (Prod.fst ∘ f) b ⊓ comap (Prod.snd ∘ f) c := by
erw [comap_inf, Filter.comap_comap, Filter.comap_comap]
import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.Topology.Category.TopCat.Limits.Basic #align_import topology.category.Top.limits.konig from "leanprover-community/mathlib"@"dbdf71cee7bb20367cb7e37279c08b0c218cf967" -- Porting note: every ML3 decl has an uppercase letter set_option linter.uppercaseLean3 false open CategoryTheory open CategoryTheory.Limits -- Porting note: changed universe order as `v` is usually passed explicitly universe v u w noncomputable section namespace TopCat section TopologicalKonig variable {J : Type u} [SmallCategory J] -- Porting note: generalized `F` to land in `v` not `u` variable (F : J ⥤ TopCat.{v}) private abbrev FiniteDiagramArrow {J : Type u} [SmallCategory J] (G : Finset J) := Σ' (X Y : J) (_ : X ∈ G) (_ : Y ∈ G), X ⟶ Y private abbrev FiniteDiagram (J : Type u) [SmallCategory J] := Σ G : Finset J, Finset (FiniteDiagramArrow G) -- Porting note: generalized `F` to land in `v` not `u` def partialSections {J : Type u} [SmallCategory J] (F : J ⥤ TopCat.{v}) {G : Finset J} (H : Finset (FiniteDiagramArrow G)) : Set (∀ j, F.obj j) := {u | ∀ {f : FiniteDiagramArrow G} (_ : f ∈ H), F.map f.2.2.2.2 (u f.1) = u f.2.1} #align Top.partial_sections TopCat.partialSections theorem partialSections.nonempty [IsCofilteredOrEmpty J] [h : ∀ j : J, Nonempty (F.obj j)] {G : Finset J} (H : Finset (FiniteDiagramArrow G)) : (partialSections F H).Nonempty := by classical cases isEmpty_or_nonempty J · exact ⟨isEmptyElim, fun {j} => IsEmpty.elim' inferInstance j.1⟩ haveI : IsCofiltered J := ⟨⟩ use fun j : J => if hj : j ∈ G then F.map (IsCofiltered.infTo G H hj) (h (IsCofiltered.inf G H)).some else (h _).some rintro ⟨X, Y, hX, hY, f⟩ hf dsimp only rwa [dif_pos hX, dif_pos hY, ← comp_app, ← F.map_comp, @IsCofiltered.infTo_commutes _ _ _ G H] #align Top.partial_sections.nonempty TopCat.partialSections.nonempty theorem partialSections.directed : Directed Superset fun G : FiniteDiagram J => partialSections F G.2 := by classical intro A B let ιA : FiniteDiagramArrow A.1 → FiniteDiagramArrow (A.1 ⊔ B.1) := fun f => ⟨f.1, f.2.1, Finset.mem_union_left _ f.2.2.1, Finset.mem_union_left _ f.2.2.2.1, f.2.2.2.2⟩ let ιB : FiniteDiagramArrow B.1 → FiniteDiagramArrow (A.1 ⊔ B.1) := fun f => ⟨f.1, f.2.1, Finset.mem_union_right _ f.2.2.1, Finset.mem_union_right _ f.2.2.2.1, f.2.2.2.2⟩ refine ⟨⟨A.1 ⊔ B.1, A.2.image ιA ⊔ B.2.image ιB⟩, ?_, ?_⟩ · rintro u hu f hf have : ιA f ∈ A.2.image ιA ⊔ B.2.image ιB := by apply Finset.mem_union_left rw [Finset.mem_image] exact ⟨f, hf, rfl⟩ exact hu this · rintro u hu f hf have : ιB f ∈ A.2.image ιA ⊔ B.2.image ιB := by apply Finset.mem_union_right rw [Finset.mem_image] exact ⟨f, hf, rfl⟩ exact hu this #align Top.partial_sections.directed TopCat.partialSections.directed theorem partialSections.closed [∀ j : J, T2Space (F.obj j)] {G : Finset J} (H : Finset (FiniteDiagramArrow G)) : IsClosed (partialSections F H) := by have : partialSections F H = ⋂ (f : FiniteDiagramArrow G) (_ : f ∈ H), {u | F.map f.2.2.2.2 (u f.1) = u f.2.1} := by ext1 simp only [Set.mem_iInter, Set.mem_setOf_eq] rfl rw [this] apply isClosed_biInter intro f _ -- Porting note: can't see through forget have : T2Space ((forget TopCat).obj (F.obj f.snd.fst)) := inferInstanceAs (T2Space (F.obj f.snd.fst)) apply isClosed_eq -- Porting note: used to be a single `continuity` that closed both goals · exact (F.map f.snd.snd.snd.snd).continuous.comp (continuous_apply f.fst) · continuity #align Top.partial_sections.closed TopCat.partialSections.closed -- Porting note: generalized from `TopCat.{u}` to `TopCat.{max v u}`
Mathlib/Topology/Category/TopCat/Limits/Konig.lean
130
146
theorem nonempty_limitCone_of_compact_t2_cofiltered_system (F : J ⥤ TopCat.{max v u}) [IsCofilteredOrEmpty J] [∀ j : J, Nonempty (F.obj j)] [∀ j : J, CompactSpace (F.obj j)] [∀ j : J, T2Space (F.obj j)] : Nonempty (TopCat.limitCone F).pt := by
classical obtain ⟨u, hu⟩ := IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed (fun G => partialSections F _) (partialSections.directed F) (fun G => partialSections.nonempty F _) (fun G => IsClosed.isCompact (partialSections.closed F _)) fun G => partialSections.closed F _ use u intro X Y f let G : FiniteDiagram J := ⟨{X, Y}, {⟨X, Y, by simp only [true_or_iff, eq_self_iff_true, Finset.mem_insert], by simp only [eq_self_iff_true, or_true_iff, Finset.mem_insert, Finset.mem_singleton], f⟩}⟩ exact hu _ ⟨G, rfl⟩ (Finset.mem_singleton_self _)
import Mathlib.SetTheory.Cardinal.Finite #align_import data.set.ncard from "leanprover-community/mathlib"@"74c2af38a828107941029b03839882c5c6f87a04" namespace Set variable {α β : Type*} {s t : Set α} noncomputable def encard (s : Set α) : ℕ∞ := PartENat.withTopEquiv (PartENat.card s) @[simp] theorem encard_univ_coe (s : Set α) : encard (univ : Set s) = encard s := by rw [encard, encard, PartENat.card_congr (Equiv.Set.univ ↑s)] theorem encard_univ (α : Type*) : encard (univ : Set α) = PartENat.withTopEquiv (PartENat.card α) := by rw [encard, PartENat.card_congr (Equiv.Set.univ α)] theorem Finite.encard_eq_coe_toFinset_card (h : s.Finite) : s.encard = h.toFinset.card := by have := h.fintype rw [encard, PartENat.card_eq_coe_fintype_card, PartENat.withTopEquiv_natCast, toFinite_toFinset, toFinset_card] theorem encard_eq_coe_toFinset_card (s : Set α) [Fintype s] : encard s = s.toFinset.card := by have h := toFinite s rw [h.encard_eq_coe_toFinset_card, toFinite_toFinset] theorem encard_coe_eq_coe_finsetCard (s : Finset α) : encard (s : Set α) = s.card := by rw [Finite.encard_eq_coe_toFinset_card (Finset.finite_toSet s)]; simp theorem Infinite.encard_eq {s : Set α} (h : s.Infinite) : s.encard = ⊤ := by have := h.to_subtype rw [encard, ← PartENat.withTopEquiv.symm.injective.eq_iff, Equiv.symm_apply_apply, PartENat.withTopEquiv_symm_top, PartENat.card_eq_top_of_infinite] @[simp] theorem encard_eq_zero : s.encard = 0 ↔ s = ∅ := by rw [encard, ← PartENat.withTopEquiv.symm.injective.eq_iff, Equiv.symm_apply_apply, PartENat.withTopEquiv_symm_zero, PartENat.card_eq_zero_iff_empty, isEmpty_subtype, eq_empty_iff_forall_not_mem] @[simp] theorem encard_empty : (∅ : Set α).encard = 0 := by rw [encard_eq_zero] theorem nonempty_of_encard_ne_zero (h : s.encard ≠ 0) : s.Nonempty := by rwa [nonempty_iff_ne_empty, Ne, ← encard_eq_zero] theorem encard_ne_zero : s.encard ≠ 0 ↔ s.Nonempty := by rw [ne_eq, encard_eq_zero, nonempty_iff_ne_empty] @[simp] theorem encard_pos : 0 < s.encard ↔ s.Nonempty := by rw [pos_iff_ne_zero, encard_ne_zero] @[simp] theorem encard_singleton (e : α) : ({e} : Set α).encard = 1 := by rw [encard, ← PartENat.withTopEquiv.symm.injective.eq_iff, Equiv.symm_apply_apply, PartENat.card_eq_coe_fintype_card, Fintype.card_ofSubsingleton, Nat.cast_one]; rfl
Mathlib/Data/Set/Card.lean
111
114
theorem encard_union_eq (h : Disjoint s t) : (s ∪ t).encard = s.encard + t.encard := by
classical have e := (Equiv.Set.union (by rwa [subset_empty_iff, ← disjoint_iff_inter_eq_empty])).symm simp [encard, ← PartENat.card_congr e, PartENat.card_sum, PartENat.withTopEquiv]
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith) theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = x := calc ∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by refine prod_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with h₀ | h₀ · rw [h₀, rpow_zero, rpow_zero] · rw [hx i hi h₀] _ = x := by rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one] have : (∑ i ∈ s, w i) ≠ 0 := by rw [hw'] exact one_ne_zero obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this rw [← hx i his hi] exact hz i his #align real.geom_mean_weighted_of_constant Real.geom_mean_weighted_of_constant theorem arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw' : ∑ i ∈ s, w i = 1) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∑ i ∈ s, w i * z i = x := calc ∑ i ∈ s, w i * z i = ∑ i ∈ s, w i * x := by refine sum_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with hwi | hwi · rw [hwi, zero_mul, zero_mul] · rw [hx i hi hwi] _ = x := by rw [← sum_mul, hw', one_mul] #align real.arith_mean_weighted_of_constant Real.arith_mean_weighted_of_constant
Mathlib/Analysis/MeanInequalities.lean
180
183
theorem geom_mean_eq_arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i := by
rw [geom_mean_weighted_of_constant, arith_mean_weighted_of_constant] <;> assumption
import Mathlib.SetTheory.Game.Basic import Mathlib.SetTheory.Ordinal.NaturalOps #align_import set_theory.game.ordinal from "leanprover-community/mathlib"@"b90e72c7eebbe8de7c8293a80208ea2ba135c834" universe u open SetTheory PGame open scoped NaturalOps PGame namespace Ordinal noncomputable def toPGame : Ordinal.{u} → PGame.{u} | o => have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o ⟨o.out.α, PEmpty, fun x => have := Ordinal.typein_lt_self x (typein (· < ·) x).toPGame, PEmpty.elim⟩ termination_by x => x #align ordinal.to_pgame Ordinal.toPGame @[nolint unusedHavesSuffices] theorem toPGame_def (o : Ordinal) : have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o o.toPGame = ⟨o.out.α, PEmpty, fun x => (typein (· < ·) x).toPGame, PEmpty.elim⟩ := by rw [toPGame] #align ordinal.to_pgame_def Ordinal.toPGame_def @[simp, nolint unusedHavesSuffices]
Mathlib/SetTheory/Game/Ordinal.lean
53
54
theorem toPGame_leftMoves (o : Ordinal) : o.toPGame.LeftMoves = o.out.α := by
rw [toPGame, LeftMoves]
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.Solvable import Mathlib.LinearAlgebra.Dual #align_import algebra.lie.character from "leanprover-community/mathlib"@"132328c4dd48da87adca5d408ca54f315282b719" universe u v w w₁ namespace LieAlgebra variable (R : Type u) (L : Type v) [CommRing R] [LieRing L] [LieAlgebra R L] abbrev LieCharacter := L →ₗ⁅R⁆ R #align lie_algebra.lie_character LieAlgebra.LieCharacter variable {R L} -- @[simp] -- Porting note: simp normal form is the LHS of `lieCharacter_apply_lie'` theorem lieCharacter_apply_lie (χ : LieCharacter R L) (x y : L) : χ ⁅x, y⁆ = 0 := by rw [LieHom.map_lie, LieRing.of_associative_ring_bracket, mul_comm, sub_self] #align lie_algebra.lie_character_apply_lie LieAlgebra.lieCharacter_apply_lie @[simp] theorem lieCharacter_apply_lie' (χ : LieCharacter R L) (x y : L) : ⁅χ x, χ y⁆ = 0 := by rw [LieRing.of_associative_ring_bracket, mul_comm, sub_self]
Mathlib/Algebra/Lie/Character.lean
52
60
theorem lieCharacter_apply_of_mem_derived (χ : LieCharacter R L) {x : L} (h : x ∈ derivedSeries R L 1) : χ x = 0 := by
rw [derivedSeries_def, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_zero, ← LieSubmodule.mem_coeSubmodule, LieSubmodule.lieIdeal_oper_eq_linear_span] at h refine Submodule.span_induction h ?_ ?_ ?_ ?_ · rintro y ⟨⟨z, hz⟩, ⟨⟨w, hw⟩, rfl⟩⟩; apply lieCharacter_apply_lie · exact χ.map_zero · intro y z hy hz; rw [LieHom.map_add, hy, hz, add_zero] · intro t y hy; rw [LieHom.map_smul, hy, smul_zero]
import Mathlib.Data.Real.Irrational import Mathlib.Data.Nat.Fib.Basic import Mathlib.Data.Fin.VecNotation import Mathlib.Algebra.LinearRecurrence import Mathlib.Tactic.NormNum.NatFib import Mathlib.Tactic.NormNum.Prime #align_import data.real.golden_ratio from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" noncomputable section open Polynomial abbrev goldenRatio : ℝ := (1 + √5) / 2 #align golden_ratio goldenRatio abbrev goldenConj : ℝ := (1 - √5) / 2 #align golden_conj goldenConj @[inherit_doc goldenRatio] scoped[goldenRatio] notation "φ" => goldenRatio @[inherit_doc goldenConj] scoped[goldenRatio] notation "ψ" => goldenConj open Real goldenRatio
Mathlib/Data/Real/GoldenRatio.lean
44
47
theorem inv_gold : φ⁻¹ = -ψ := by
have : 1 + √5 ≠ 0 := ne_of_gt (add_pos (by norm_num) <| Real.sqrt_pos.mpr (by norm_num)) field_simp [sub_mul, mul_add] norm_num
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.NormedSpace.FiniteDimension import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import analysis.calculus.fderiv_measurable from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" set_option linter.uppercaseLean3 false -- A B D noncomputable section open Set Metric Asymptotics Filter ContinuousLinearMap MeasureTheory TopologicalSpace open scoped Topology section fderiv variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {f : E → F} (K : Set (E →L[𝕜] F)) namespace FDerivMeasurableAux def A (f : E → F) (L : E →L[𝕜] F) (r ε : ℝ) : Set E := { x | ∃ r' ∈ Ioc (r / 2) r, ∀ y ∈ ball x r', ∀ z ∈ ball x r', ‖f z - f y - L (z - y)‖ < ε * r } #align fderiv_measurable_aux.A FDerivMeasurableAux.A def B (f : E → F) (K : Set (E →L[𝕜] F)) (r s ε : ℝ) : Set E := ⋃ L ∈ K, A f L r ε ∩ A f L s ε #align fderiv_measurable_aux.B FDerivMeasurableAux.B def D (f : E → F) (K : Set (E →L[𝕜] F)) : Set E := ⋂ e : ℕ, ⋃ n : ℕ, ⋂ (p ≥ n) (q ≥ n), B f K ((1 / 2) ^ p) ((1 / 2) ^ q) ((1 / 2) ^ e) #align fderiv_measurable_aux.D FDerivMeasurableAux.D theorem isOpen_A (L : E →L[𝕜] F) (r ε : ℝ) : IsOpen (A f L r ε) := by rw [Metric.isOpen_iff] rintro x ⟨r', r'_mem, hr'⟩ obtain ⟨s, s_gt, s_lt⟩ : ∃ s : ℝ, r / 2 < s ∧ s < r' := exists_between r'_mem.1 have : s ∈ Ioc (r / 2) r := ⟨s_gt, le_of_lt (s_lt.trans_le r'_mem.2)⟩ refine ⟨r' - s, by linarith, fun x' hx' => ⟨s, this, ?_⟩⟩ have B : ball x' s ⊆ ball x r' := ball_subset (le_of_lt hx') intro y hy z hz exact hr' y (B hy) z (B hz) #align fderiv_measurable_aux.is_open_A FDerivMeasurableAux.isOpen_A theorem isOpen_B {K : Set (E →L[𝕜] F)} {r s ε : ℝ} : IsOpen (B f K r s ε) := by simp [B, isOpen_biUnion, IsOpen.inter, isOpen_A] #align fderiv_measurable_aux.is_open_B FDerivMeasurableAux.isOpen_B
Mathlib/Analysis/Calculus/FDeriv/Measurable.lean
148
151
theorem A_mono (L : E →L[𝕜] F) (r : ℝ) {ε δ : ℝ} (h : ε ≤ δ) : A f L r ε ⊆ A f L r δ := by
rintro x ⟨r', r'r, hr'⟩ refine ⟨r', r'r, fun y hy z hz => (hr' y hy z hz).trans_le (mul_le_mul_of_nonneg_right h ?_)⟩ linarith [mem_ball.1 hy, r'r.2, @dist_nonneg _ _ y x]
import Mathlib.Algebra.CharP.Defs import Mathlib.Algebra.FreeAlgebra import Mathlib.RingTheory.Localization.FractionRing #align_import algebra.char_p.algebra from "leanprover-community/mathlib"@"96782a2d6dcded92116d8ac9ae48efb41d46a27c" theorem charP_of_injective_ringHom {R A : Type*} [NonAssocSemiring R] [NonAssocSemiring A] {f : R →+* A} (h : Function.Injective f) (p : ℕ) [CharP R p] : CharP A p where cast_eq_zero_iff' x := by rw [← CharP.cast_eq_zero_iff R p x, ← map_natCast f x, map_eq_zero_iff f h] theorem charP_of_injective_algebraMap {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (h : Function.Injective (algebraMap R A)) (p : ℕ) [CharP R p] : CharP A p := charP_of_injective_ringHom h p #align char_p_of_injective_algebra_map charP_of_injective_algebraMap theorem charP_of_injective_algebraMap' (R A : Type*) [Field R] [Semiring A] [Algebra R A] [Nontrivial A] (p : ℕ) [CharP R p] : CharP A p := charP_of_injective_algebraMap (algebraMap R A).injective p #align char_p_of_injective_algebra_map' charP_of_injective_algebraMap' theorem charZero_of_injective_ringHom {R A : Type*} [NonAssocSemiring R] [NonAssocSemiring A] {f : R →+* A} (h : Function.Injective f) [CharZero R] : CharZero A where cast_injective _ _ _ := CharZero.cast_injective <| h <| by simpa only [map_natCast f] theorem charZero_of_injective_algebraMap {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (h : Function.Injective (algebraMap R A)) [CharZero R] : CharZero A := charZero_of_injective_ringHom h #align char_zero_of_injective_algebra_map charZero_of_injective_algebraMap theorem RingHom.charP {R A : Type*} [NonAssocSemiring R] [NonAssocSemiring A] (f : R →+* A) (H : Function.Injective f) (p : ℕ) [CharP A p] : CharP R p := by obtain ⟨q, h⟩ := CharP.exists R exact CharP.eq _ (charP_of_injective_ringHom H q) ‹CharP A p› ▸ h theorem RingHom.charP_iff {R A : Type*} [NonAssocSemiring R] [NonAssocSemiring A] (f : R →+* A) (H : Function.Injective f) (p : ℕ) : CharP R p ↔ CharP A p := ⟨fun _ ↦ charP_of_injective_ringHom H p, fun _ ↦ f.charP H p⟩ -- `CharP.charP_to_charZero A _ (charP_of_injective_algebraMap h 0)` does not work -- here as it would require `Ring A`. section variable (K L : Type*) [Field K] [CommSemiring L] [Nontrivial L] [Algebra K L] theorem Algebra.charP_iff (p : ℕ) : CharP K p ↔ CharP L p := (algebraMap K L).charP_iff_charP p #align algebra.char_p_iff Algebra.charP_iff
Mathlib/Algebra/CharP/Algebra.lean
121
123
theorem Algebra.ringChar_eq : ringChar K = ringChar L := by
rw [ringChar.eq_iff, Algebra.charP_iff K L] apply ringChar.charP
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Pi import Mathlib.Data.Fintype.Sum #align_import combinatorics.hales_jewett from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe" open scoped Classical universe u v namespace Combinatorics structure Line (α ι : Type*) where idxFun : ι → Option α proper : ∃ i, idxFun i = none #align combinatorics.line Combinatorics.Line namespace Line -- This lets us treat a line `l : Line α ι` as a function `α → ι → α`. instance (α ι) : CoeFun (Line α ι) fun _ => α → ι → α := ⟨fun l x i => (l.idxFun i).getD x⟩ def IsMono {α ι κ} (C : (ι → α) → κ) (l : Line α ι) : Prop := ∃ c, ∀ x, C (l x) = c #align combinatorics.line.is_mono Combinatorics.Line.IsMono def diagonal (α ι) [Nonempty ι] : Line α ι where idxFun _ := none proper := ⟨Classical.arbitrary ι, rfl⟩ #align combinatorics.line.diagonal Combinatorics.Line.diagonal instance (α ι) [Nonempty ι] : Inhabited (Line α ι) := ⟨diagonal α ι⟩ structure AlmostMono {α ι κ : Type*} (C : (ι → Option α) → κ) where line : Line (Option α) ι color : κ has_color : ∀ x : α, C (line (some x)) = color #align combinatorics.line.almost_mono Combinatorics.Line.AlmostMono instance {α ι κ : Type*} [Nonempty ι] [Inhabited κ] : Inhabited (AlmostMono fun _ : ι → Option α => (default : κ)) := ⟨{ line := default color := default has_color := fun _ ↦ rfl}⟩ structure ColorFocused {α ι κ : Type*} (C : (ι → Option α) → κ) where lines : Multiset (AlmostMono C) focus : ι → Option α is_focused : ∀ p ∈ lines, p.line none = focus distinct_colors : (lines.map AlmostMono.color).Nodup #align combinatorics.line.color_focused Combinatorics.Line.ColorFocused instance {α ι κ} (C : (ι → Option α) → κ) : Inhabited (ColorFocused C) := by refine ⟨⟨0, fun _ => none, fun h => ?_, Multiset.nodup_zero⟩⟩ simp only [Multiset.not_mem_zero, IsEmpty.forall_iff] def map {α α' ι} (f : α → α') (l : Line α ι) : Line α' ι where idxFun i := (l.idxFun i).map f proper := ⟨l.proper.choose, by simp only [l.proper.choose_spec, Option.map_none']⟩ #align combinatorics.line.map Combinatorics.Line.map def vertical {α ι ι'} (v : ι → α) (l : Line α ι') : Line α (Sum ι ι') where idxFun := Sum.elim (some ∘ v) l.idxFun proper := ⟨Sum.inr l.proper.choose, l.proper.choose_spec⟩ #align combinatorics.line.vertical Combinatorics.Line.vertical def horizontal {α ι ι'} (l : Line α ι) (v : ι' → α) : Line α (Sum ι ι') where idxFun := Sum.elim l.idxFun (some ∘ v) proper := ⟨Sum.inl l.proper.choose, l.proper.choose_spec⟩ #align combinatorics.line.horizontal Combinatorics.Line.horizontal def prod {α ι ι'} (l : Line α ι) (l' : Line α ι') : Line α (Sum ι ι') where idxFun := Sum.elim l.idxFun l'.idxFun proper := ⟨Sum.inl l.proper.choose, l.proper.choose_spec⟩ #align combinatorics.line.prod Combinatorics.Line.prod theorem apply {α ι} (l : Line α ι) (x : α) : l x = fun i => (l.idxFun i).getD x := rfl #align combinatorics.line.apply Combinatorics.Line.apply theorem apply_none {α ι} (l : Line α ι) (x : α) (i : ι) (h : l.idxFun i = none) : l x i = x := by simp only [Option.getD_none, h, l.apply] #align combinatorics.line.apply_none Combinatorics.Line.apply_none theorem apply_of_ne_none {α ι} (l : Line α ι) (x : α) (i : ι) (h : l.idxFun i ≠ none) : some (l x i) = l.idxFun i := by rw [l.apply, Option.getD_of_ne_none h] #align combinatorics.line.apply_of_ne_none Combinatorics.Line.apply_of_ne_none @[simp] theorem map_apply {α α' ι} (f : α → α') (l : Line α ι) (x : α) : l.map f (f x) = f ∘ l x := by simp only [Line.apply, Line.map, Option.getD_map] rfl #align combinatorics.line.map_apply Combinatorics.Line.map_apply @[simp] theorem vertical_apply {α ι ι'} (v : ι → α) (l : Line α ι') (x : α) : l.vertical v x = Sum.elim v (l x) := by funext i cases i <;> rfl #align combinatorics.line.vertical_apply Combinatorics.Line.vertical_apply @[simp]
Mathlib/Combinatorics/HalesJewett.lean
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theorem horizontal_apply {α ι ι'} (l : Line α ι) (v : ι' → α) (x : α) : l.horizontal v x = Sum.elim (l x) v := by
funext i cases i <;> rfl