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import Mathlib.Algebra.Polynomial.Degree.TrailingDegree import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd" namespace Polynomial open Polynomial Finsupp Finset open Polynomial section Semiring variable {R : Type*} [Semiring R] {f : R[X]} def revAtFun (N i : ℕ) : ℕ := ite (i ≤ N) (N - i) i #align polynomial.rev_at_fun Polynomial.revAtFun theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by unfold revAtFun split_ifs with h j · exact tsub_tsub_cancel_of_le h · exfalso apply j exact Nat.sub_le N i · rfl #align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by intro a b hab rw [← @revAtFun_invol N a, hab, revAtFun_invol] #align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj def revAt (N : ℕ) : Function.Embedding ℕ ℕ where toFun i := ite (i ≤ N) (N - i) i inj' := revAtFun_inj #align polynomial.rev_at Polynomial.revAt @[simp] theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i := rfl #align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq @[simp] theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i := revAtFun_invol #align polynomial.rev_at_invol Polynomial.revAt_invol @[simp] theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i := if_pos H #align polynomial.rev_at_le Polynomial.revAt_le lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h] theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) : revAt (N + O) (n + o) = revAt N n + revAt O o := by rcases Nat.le.dest hn with ⟨n', rfl⟩ rcases Nat.le.dest ho with ⟨o', rfl⟩ repeat' rw [revAt_le (le_add_right rfl.le)] rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)] repeat' rw [add_tsub_cancel_left] #align polynomial.rev_at_add Polynomial.revAt_add -- @[simp] -- Porting note (#10618): simp can prove this theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp #align polynomial.rev_at_zero Polynomial.revAt_zero noncomputable def reflect (N : ℕ) : R[X] → R[X] | ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩ #align polynomial.reflect Polynomial.reflect theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image] #align polynomial.reflect_support Polynomial.reflect_support @[simp] theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by rcases f with ⟨f⟩ simp only [reflect, coeff] calc Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by rw [revAt_invol] _ = f (revAt N i) := Finsupp.embDomain_apply _ _ _ #align polynomial.coeff_reflect Polynomial.coeff_reflect @[simp] theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 := rfl #align polynomial.reflect_zero Polynomial.reflect_zero @[simp] theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero] #align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff @[simp] theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by ext simp only [coeff_add, coeff_reflect] #align polynomial.reflect_add Polynomial.reflect_add @[simp] theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by ext simp only [coeff_reflect, coeff_C_mul] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C_mul Polynomial.reflect_C_mul -- @[simp] -- Porting note (#10618): simp can prove this (once `reflect_monomial` is in simp scope) theorem reflect_C_mul_X_pow (N n : ℕ) {c : R} : reflect N (C c * X ^ n) = C c * X ^ revAt N n := by ext rw [reflect_C_mul, coeff_C_mul, coeff_C_mul, coeff_X_pow, coeff_reflect] split_ifs with h · rw [h, revAt_invol, coeff_X_pow_self] · rw [not_mem_support_iff.mp] intro a rw [← one_mul (X ^ n), ← C_1] at a apply h rw [← mem_support_C_mul_X_pow a, revAt_invol] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C_mul_X_pow Polynomial.reflect_C_mul_X_pow @[simp]
Mathlib/Algebra/Polynomial/Reverse.lean
160
161
theorem reflect_C (r : R) (N : ℕ) : reflect N (C r) = C r * X ^ N := by
conv_lhs => rw [← mul_one (C r), ← pow_zero X, reflect_C_mul_X_pow, revAt_zero]
true
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Data.Rat.Cast.Order import Mathlib.Order.Partition.Finpartition import Mathlib.Tactic.GCongr import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring #align_import combinatorics.simple_graph.density from "leanprover-community/mathlib"@"a4ec43f53b0bd44c697bcc3f5a62edd56f269ef1" open Finset variable {𝕜 ι κ α β : Type*} namespace Rel section Asymmetric variable [LinearOrderedField 𝕜] (r : α → β → Prop) [∀ a, DecidablePred (r a)] {s s₁ s₂ : Finset α} {t t₁ t₂ : Finset β} {a : α} {b : β} {δ : 𝕜} def interedges (s : Finset α) (t : Finset β) : Finset (α × β) := (s ×ˢ t).filter fun e ↦ r e.1 e.2 #align rel.interedges Rel.interedges def edgeDensity (s : Finset α) (t : Finset β) : ℚ := (interedges r s t).card / (s.card * t.card) #align rel.edge_density Rel.edgeDensity variable {r} theorem mem_interedges_iff {x : α × β} : x ∈ interedges r s t ↔ x.1 ∈ s ∧ x.2 ∈ t ∧ r x.1 x.2 := by rw [interedges, mem_filter, Finset.mem_product, and_assoc] #align rel.mem_interedges_iff Rel.mem_interedges_iff theorem mk_mem_interedges_iff : (a, b) ∈ interedges r s t ↔ a ∈ s ∧ b ∈ t ∧ r a b := mem_interedges_iff #align rel.mk_mem_interedges_iff Rel.mk_mem_interedges_iff @[simp] theorem interedges_empty_left (t : Finset β) : interedges r ∅ t = ∅ := by rw [interedges, Finset.empty_product, filter_empty] #align rel.interedges_empty_left Rel.interedges_empty_left theorem interedges_mono (hs : s₂ ⊆ s₁) (ht : t₂ ⊆ t₁) : interedges r s₂ t₂ ⊆ interedges r s₁ t₁ := fun x ↦ by simp_rw [mem_interedges_iff] exact fun h ↦ ⟨hs h.1, ht h.2.1, h.2.2⟩ #align rel.interedges_mono Rel.interedges_mono variable (r) theorem card_interedges_add_card_interedges_compl (s : Finset α) (t : Finset β) : (interedges r s t).card + (interedges (fun x y ↦ ¬r x y) s t).card = s.card * t.card := by classical rw [← card_product, interedges, interedges, ← card_union_of_disjoint, filter_union_filter_neg_eq] exact disjoint_filter.2 fun _ _ ↦ Classical.not_not.2 #align rel.card_interedges_add_card_interedges_compl Rel.card_interedges_add_card_interedges_compl
Mathlib/Combinatorics/SimpleGraph/Density.lean
85
90
theorem interedges_disjoint_left {s s' : Finset α} (hs : Disjoint s s') (t : Finset β) : Disjoint (interedges r s t) (interedges r s' t) := by rw [Finset.disjoint_left] at hs ⊢
rw [Finset.disjoint_left] at hs ⊢ intro _ hx hy rw [mem_interedges_iff] at hx hy exact hs hx.1 hy.1
true
import Mathlib.Algebra.Module.Equiv import Mathlib.Data.DFinsupp.Basic import Mathlib.Data.Finsupp.Basic #align_import data.finsupp.to_dfinsupp from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" variable {ι : Type*} {R : Type*} {M : Type*} section Defs def Finsupp.toDFinsupp [Zero M] (f : ι →₀ M) : Π₀ _ : ι, M where toFun := f support' := Trunc.mk ⟨f.support.1, fun i => (Classical.em (f i = 0)).symm.imp_left Finsupp.mem_support_iff.mpr⟩ #align finsupp.to_dfinsupp Finsupp.toDFinsupp @[simp] theorem Finsupp.toDFinsupp_coe [Zero M] (f : ι →₀ M) : ⇑f.toDFinsupp = f := rfl #align finsupp.to_dfinsupp_coe Finsupp.toDFinsupp_coe section variable [DecidableEq ι] [Zero M] @[simp]
Mathlib/Data/Finsupp/ToDFinsupp.lean
88
91
theorem Finsupp.toDFinsupp_single (i : ι) (m : M) : (Finsupp.single i m).toDFinsupp = DFinsupp.single i m := by ext
ext simp [Finsupp.single_apply, DFinsupp.single_apply]
true
import Mathlib.CategoryTheory.Sites.Canonical #align_import category_theory.sites.types from "leanprover-community/mathlib"@"9f9015c645d85695581237cc761981036be8bd37" universe u namespace CategoryTheory --open scoped CategoryTheory.Type -- Porting note: unknown namespace def typesGrothendieckTopology : GrothendieckTopology (Type u) where sieves α S := ∀ x : α, S fun _ : PUnit => x top_mem' _ _ := trivial pullback_stable' _ _ _ f hs x := hs (f x) transitive' _ _ hs _ hr x := hr (hs x) PUnit.unit #align category_theory.types_grothendieck_topology CategoryTheory.typesGrothendieckTopology @[simps] def discreteSieve (α : Type u) : Sieve α where arrows _ f := ∃ x, ∀ y, f y = x downward_closed := fun ⟨x, hx⟩ g => ⟨x, fun y => hx <| g y⟩ #align category_theory.discrete_sieve CategoryTheory.discreteSieve theorem discreteSieve_mem (α : Type u) : discreteSieve α ∈ typesGrothendieckTopology α := fun x => ⟨x, fun _ => rfl⟩ #align category_theory.discrete_sieve_mem CategoryTheory.discreteSieve_mem def discretePresieve (α : Type u) : Presieve α := fun β _ => ∃ x : β, ∀ y : β, y = x #align category_theory.discrete_presieve CategoryTheory.discretePresieve theorem generate_discretePresieve_mem (α : Type u) : Sieve.generate (discretePresieve α) ∈ typesGrothendieckTopology α := fun x => ⟨PUnit, id, fun _ => x, ⟨PUnit.unit, fun _ => Subsingleton.elim _ _⟩, rfl⟩ #align category_theory.generate_discrete_presieve_mem CategoryTheory.generate_discretePresieve_mem open Presieve theorem isSheaf_yoneda' {α : Type u} : IsSheaf typesGrothendieckTopology (yoneda.obj α) := fun β S hs x hx => ⟨fun y => x _ (hs y) PUnit.unit, fun γ f h => funext fun z => by convert congr_fun (hx (𝟙 _) (fun _ => z) (hs <| f z) h rfl) PUnit.unit using 1, fun f hf => funext fun y => by convert congr_fun (hf _ (hs y)) PUnit.unit⟩ #align category_theory.is_sheaf_yoneda' CategoryTheory.isSheaf_yoneda' @[simps] def yoneda' : Type u ⥤ SheafOfTypes typesGrothendieckTopology where obj α := ⟨yoneda.obj α, isSheaf_yoneda'⟩ map f := ⟨yoneda.map f⟩ #align category_theory.yoneda' CategoryTheory.yoneda' @[simp] theorem yoneda'_comp : yoneda'.{u} ⋙ sheafOfTypesToPresheaf _ = yoneda := rfl #align category_theory.yoneda'_comp CategoryTheory.yoneda'_comp open Opposite def eval (P : Type uᵒᵖ ⥤ Type u) (α : Type u) (s : P.obj (op α)) (x : α) : P.obj (op PUnit) := P.map (↾fun _ => x).op s #align category_theory.eval CategoryTheory.eval noncomputable def typesGlue (S : Type uᵒᵖ ⥤ Type u) (hs : IsSheaf typesGrothendieckTopology S) (α : Type u) (f : α → S.obj (op PUnit)) : S.obj (op α) := (hs.isSheafFor _ _ (generate_discretePresieve_mem α)).amalgamate (fun β g hg => S.map (↾fun _ => PUnit.unit).op <| f <| g <| Classical.choose hg) fun β γ δ g₁ g₂ f₁ f₂ hf₁ hf₂ h => (hs.isSheafFor _ _ (generate_discretePresieve_mem δ)).isSeparatedFor.ext fun ε g ⟨x, _⟩ => by have : f₁ (Classical.choose hf₁) = f₂ (Classical.choose hf₂) := Classical.choose_spec hf₁ (g₁ <| g x) ▸ Classical.choose_spec hf₂ (g₂ <| g x) ▸ congr_fun h _ simp_rw [← FunctorToTypes.map_comp_apply, this, ← op_comp] rfl #align category_theory.types_glue CategoryTheory.typesGlue theorem eval_typesGlue {S hs α} (f) : eval.{u} S α (typesGlue S hs α f) = f := by funext x apply (IsSheafFor.valid_glue _ _ _ <| ⟨PUnit.unit, fun _ => Subsingleton.elim _ _⟩).trans convert FunctorToTypes.map_id_apply S _ #align category_theory.eval_types_glue CategoryTheory.eval_typesGlue
Mathlib/CategoryTheory/Sites/Types.lean
108
117
theorem typesGlue_eval {S hs α} (s) : typesGlue.{u} S hs α (eval S α s) = s := by apply (hs.isSheafFor _ _ (generate_discretePresieve_mem α)).isSeparatedFor.ext
apply (hs.isSheafFor _ _ (generate_discretePresieve_mem α)).isSeparatedFor.ext intro β f hf apply (IsSheafFor.valid_glue _ _ _ hf).trans apply (FunctorToTypes.map_comp_apply _ _ _ _).symm.trans rw [← op_comp] --congr 2 -- Porting note: This tactic didn't work. Find an alternative. suffices ((↾fun _ ↦ PUnit.unit) ≫ ↾fun _ ↦ f (Classical.choose hf)) = f by rw [this] funext x exact congr_arg f (Classical.choose_spec hf x).symm
true
import Mathlib.Data.Set.Image #align_import data.nat.set from "leanprover-community/mathlib"@"cf9386b56953fb40904843af98b7a80757bbe7f9" namespace Nat section Set open Set theorem zero_union_range_succ : {0} ∪ range succ = univ := by ext n cases n <;> simp #align nat.zero_union_range_succ Nat.zero_union_range_succ @[simp] protected theorem range_succ : range succ = { i | 0 < i } := by ext (_ | i) <;> simp [succ_pos, succ_ne_zero, Set.mem_setOf] #align nat.range_succ Nat.range_succ variable {α : Type*}
Mathlib/Data/Nat/Set.lean
33
34
theorem range_of_succ (f : ℕ → α) : {f 0} ∪ range (f ∘ succ) = range f := by
rw [← image_singleton, range_comp, ← image_union, zero_union_range_succ, image_univ]
true
import Mathlib.Analysis.NormedSpace.BoundedLinearMaps import Mathlib.Topology.FiberBundle.Basic #align_import topology.vector_bundle.basic from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" noncomputable section open scoped Classical open Bundle Set open scoped Topology variable (R : Type*) {B : Type*} (F : Type*) (E : B → Type*) section TopologicalVectorSpace variable {F E} variable [Semiring R] [TopologicalSpace F] [TopologicalSpace B] protected class Pretrivialization.IsLinear [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] (e : Pretrivialization F (π F E)) : Prop where linear : ∀ b ∈ e.baseSet, IsLinearMap R fun x : E b => (e ⟨b, x⟩).2 #align pretrivialization.is_linear Pretrivialization.IsLinear namespace Pretrivialization variable (e : Pretrivialization F (π F E)) {x : TotalSpace F E} {b : B} {y : E b} theorem linear [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : IsLinearMap R fun x : E b => (e ⟨b, x⟩).2 := Pretrivialization.IsLinear.linear b hb #align pretrivialization.linear Pretrivialization.linear variable [AddCommMonoid F] [Module R F] [∀ x, AddCommMonoid (E x)] [∀ x, Module R (E x)] @[simps!] protected def symmₗ (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : F →ₗ[R] E b := by refine IsLinearMap.mk' (e.symm b) ?_ by_cases hb : b ∈ e.baseSet · exact (((e.linear R hb).mk' _).inverse (e.symm b) (e.symm_apply_apply_mk hb) fun v ↦ congr_arg Prod.snd <| e.apply_mk_symm hb v).isLinear · rw [e.coe_symm_of_not_mem hb] exact (0 : F →ₗ[R] E b).isLinear #align pretrivialization.symmₗ Pretrivialization.symmₗ @[simps (config := .asFn)] def linearEquivAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) (hb : b ∈ e.baseSet) : E b ≃ₗ[R] F where toFun y := (e ⟨b, y⟩).2 invFun := e.symm b left_inv := e.symm_apply_apply_mk hb right_inv v := by simp_rw [e.apply_mk_symm hb v] map_add' v w := (e.linear R hb).map_add v w map_smul' c v := (e.linear R hb).map_smul c v #align pretrivialization.linear_equiv_at Pretrivialization.linearEquivAt protected def linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : E b →ₗ[R] F := if hb : b ∈ e.baseSet then e.linearEquivAt R b hb else 0 #align pretrivialization.linear_map_at Pretrivialization.linearMapAt variable {R} theorem coe_linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] (b : B) : ⇑(e.linearMapAt R b) = fun y => if b ∈ e.baseSet then (e ⟨b, y⟩).2 else 0 := by rw [Pretrivialization.linearMapAt] split_ifs <;> rfl #align pretrivialization.coe_linear_map_at Pretrivialization.coe_linearMapAt theorem coe_linearMapAt_of_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : ⇑(e.linearMapAt R b) = fun y => (e ⟨b, y⟩).2 := by simp_rw [coe_linearMapAt, if_pos hb] #align pretrivialization.coe_linear_map_at_of_mem Pretrivialization.coe_linearMapAt_of_mem theorem linearMapAt_apply (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (y : E b) : e.linearMapAt R b y = if b ∈ e.baseSet then (e ⟨b, y⟩).2 else 0 := by rw [coe_linearMapAt] #align pretrivialization.linear_map_at_apply Pretrivialization.linearMapAt_apply theorem linearMapAt_def_of_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) : e.linearMapAt R b = e.linearEquivAt R b hb := dif_pos hb #align pretrivialization.linear_map_at_def_of_mem Pretrivialization.linearMapAt_def_of_mem theorem linearMapAt_def_of_not_mem (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∉ e.baseSet) : e.linearMapAt R b = 0 := dif_neg hb #align pretrivialization.linear_map_at_def_of_not_mem Pretrivialization.linearMapAt_def_of_not_mem theorem linearMapAt_eq_zero (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∉ e.baseSet) : e.linearMapAt R b = 0 := dif_neg hb #align pretrivialization.linear_map_at_eq_zero Pretrivialization.linearMapAt_eq_zero
Mathlib/Topology/VectorBundle/Basic.lean
151
154
theorem symmₗ_linearMapAt (e : Pretrivialization F (π F E)) [e.IsLinear R] {b : B} (hb : b ∈ e.baseSet) (y : E b) : e.symmₗ R b (e.linearMapAt R b y) = y := by rw [e.linearMapAt_def_of_mem hb]
rw [e.linearMapAt_def_of_mem hb] exact (e.linearEquivAt R b hb).left_inv y
true
import Mathlib.CategoryTheory.Abelian.Opposite import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Kernels import Mathlib.CategoryTheory.Preadditive.LeftExact import Mathlib.CategoryTheory.Adjunction.Limits import Mathlib.Algebra.Homology.Exact import Mathlib.Tactic.TFAE #align_import category_theory.abelian.exact from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v₁ v₂ u₁ u₂ noncomputable section open CategoryTheory Limits Preadditive variable {C : Type u₁} [Category.{v₁} C] [Abelian C] namespace CategoryTheory namespace Abelian variable {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) attribute [local instance] hasEqualizers_of_hasKernels theorem exact_iff_image_eq_kernel : Exact f g ↔ imageSubobject f = kernelSubobject g := by constructor · intro h have : IsIso (imageToKernel f g h.w) := have := h.epi; isIso_of_mono_of_epi _ refine Subobject.eq_of_comm (asIso (imageToKernel _ _ h.w)) ?_ simp · apply exact_of_image_eq_kernel #align category_theory.abelian.exact_iff_image_eq_kernel CategoryTheory.Abelian.exact_iff_image_eq_kernel theorem exact_iff : Exact f g ↔ f ≫ g = 0 ∧ kernel.ι g ≫ cokernel.π f = 0 := by constructor · exact fun h ↦ ⟨h.1, kernel_comp_cokernel f g h⟩ · refine fun h ↦ ⟨h.1, ?_⟩ suffices hl : IsLimit (KernelFork.ofι (imageSubobject f).arrow (imageSubobject_arrow_comp_eq_zero h.1)) by have : imageToKernel f g h.1 = (hl.conePointUniqueUpToIso (limit.isLimit _)).hom ≫ (kernelSubobjectIso _).inv := by ext; simp rw [this] infer_instance refine KernelFork.IsLimit.ofι _ _ (fun u hu ↦ ?_) ?_ (fun _ _ _ h ↦ ?_) · refine kernel.lift (cokernel.π f) u ?_ ≫ (imageIsoImage f).hom ≫ (imageSubobjectIso _).inv rw [← kernel.lift_ι g u hu, Category.assoc, h.2, comp_zero] · aesop_cat · rw [← cancel_mono (imageSubobject f).arrow, h] simp #align category_theory.abelian.exact_iff CategoryTheory.Abelian.exact_iff
Mathlib/CategoryTheory/Abelian/Exact.lean
84
93
theorem exact_iff' {cg : KernelFork g} (hg : IsLimit cg) {cf : CokernelCofork f} (hf : IsColimit cf) : Exact f g ↔ f ≫ g = 0 ∧ cg.ι ≫ cf.π = 0 := by constructor
constructor · intro h exact ⟨h.1, fork_ι_comp_cofork_π f g h cg cf⟩ · rw [exact_iff] refine fun h => ⟨h.1, ?_⟩ apply zero_of_epi_comp (IsLimit.conePointUniqueUpToIso hg (limit.isLimit _)).hom apply zero_of_comp_mono (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) hf).hom simp [h.2]
true
import Mathlib.Algebra.Field.Rat import Mathlib.Algebra.Group.Commute.Basic import Mathlib.Algebra.GroupWithZero.Units.Lemmas import Mathlib.Algebra.Order.Field.Rat import Mathlib.Data.Int.Cast.Lemmas import Mathlib.Data.Rat.Lemmas #align_import data.rat.cast from "leanprover-community/mathlib"@"acebd8d49928f6ed8920e502a6c90674e75bd441" variable {F ι α β : Type*} open Rat variable [FunLike F α β] @[simp] lemma map_nnratCast [DivisionSemiring α] [DivisionSemiring β] [RingHomClass F α β] (f : F) (q : ℚ≥0) : f q = q := by simp_rw [NNRat.cast_def, map_div₀, map_natCast] @[simp] lemma eq_nnratCast [DivisionSemiring α] [FunLike F ℚ≥0 α] [RingHomClass F ℚ≥0 α] (f : F) (q : ℚ≥0) : f q = q := by rw [← map_nnratCast f, NNRat.cast_id] @[simp]
Mathlib/Data/Rat/Cast/Defs.lean
237
238
theorem map_ratCast [DivisionRing α] [DivisionRing β] [RingHomClass F α β] (f : F) (q : ℚ) : f q = q := by
rw [cast_def, map_div₀, map_intCast, map_natCast, cast_def]
true
import Mathlib.Data.Fintype.Basic import Mathlib.GroupTheory.Perm.Sign import Mathlib.Logic.Equiv.Defs #align_import logic.equiv.fintype from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f" namespace Equiv variable {α β : Type*} [Finite α] noncomputable def toCompl {p q : α → Prop} (e : { x // p x } ≃ { x // q x }) : { x // ¬p x } ≃ { x // ¬q x } := by apply Classical.choice cases nonempty_fintype α classical exact Fintype.card_eq.mp <| Fintype.card_compl_eq_card_compl _ _ <| Fintype.card_congr e #align equiv.to_compl Equiv.toCompl variable {p q : α → Prop} [DecidablePred p] [DecidablePred q] noncomputable abbrev extendSubtype (e : { x // p x } ≃ { x // q x }) : Perm α := subtypeCongr e e.toCompl #align equiv.extend_subtype Equiv.extendSubtype
Mathlib/Logic/Equiv/Fintype.lean
125
129
theorem extendSubtype_apply_of_mem (e : { x // p x } ≃ { x // q x }) (x) (hx : p x) : e.extendSubtype x = e ⟨x, hx⟩ := by dsimp only [extendSubtype]
dsimp only [extendSubtype] simp only [subtypeCongr, Equiv.trans_apply, Equiv.sumCongr_apply] rw [sumCompl_apply_symm_of_pos _ _ hx, Sum.map_inl, sumCompl_apply_inl]
true
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar import Mathlib.MeasureTheory.Covering.Besicovitch import Mathlib.Tactic.AdaptationNote #align_import measure_theory.covering.besicovitch_vector_space from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" universe u open Metric Set FiniteDimensional MeasureTheory Filter Fin open scoped ENNReal Topology noncomputable section namespace Besicovitch variable {E : Type*} [NormedAddCommGroup E] def multiplicity (E : Type*) [NormedAddCommGroup E] := sSup {N | ∃ s : Finset E, s.card = N ∧ (∀ c ∈ s, ‖c‖ ≤ 2) ∧ ∀ c ∈ s, ∀ d ∈ s, c ≠ d → 1 ≤ ‖c - d‖} #align besicovitch.multiplicity Besicovitch.multiplicity section variable [NormedSpace ℝ E] [FiniteDimensional ℝ E] theorem card_le_of_separated (s : Finset E) (hs : ∀ c ∈ s, ‖c‖ ≤ 2) (h : ∀ c ∈ s, ∀ d ∈ s, c ≠ d → 1 ≤ ‖c - d‖) : s.card ≤ 5 ^ finrank ℝ E := by borelize E let μ : Measure E := Measure.addHaar let δ : ℝ := (1 : ℝ) / 2 let ρ : ℝ := (5 : ℝ) / 2 have ρpos : 0 < ρ := by norm_num set A := ⋃ c ∈ s, ball (c : E) δ with hA have D : Set.Pairwise (s : Set E) (Disjoint on fun c => ball (c : E) δ) := by rintro c hc d hd hcd apply ball_disjoint_ball rw [dist_eq_norm] convert h c hc d hd hcd norm_num have A_subset : A ⊆ ball (0 : E) ρ := by refine iUnion₂_subset fun x hx => ?_ apply ball_subset_ball' calc δ + dist x 0 ≤ δ + 2 := by rw [dist_zero_right]; exact add_le_add le_rfl (hs x hx) _ = 5 / 2 := by norm_num have I : (s.card : ℝ≥0∞) * ENNReal.ofReal (δ ^ finrank ℝ E) * μ (ball 0 1) ≤ ENNReal.ofReal (ρ ^ finrank ℝ E) * μ (ball 0 1) := calc (s.card : ℝ≥0∞) * ENNReal.ofReal (δ ^ finrank ℝ E) * μ (ball 0 1) = μ A := by rw [hA, measure_biUnion_finset D fun c _ => measurableSet_ball] have I : 0 < δ := by norm_num simp only [div_pow, μ.addHaar_ball_of_pos _ I] simp only [one_div, one_pow, Finset.sum_const, nsmul_eq_mul, mul_assoc] _ ≤ μ (ball (0 : E) ρ) := measure_mono A_subset _ = ENNReal.ofReal (ρ ^ finrank ℝ E) * μ (ball 0 1) := by simp only [μ.addHaar_ball_of_pos _ ρpos] have J : (s.card : ℝ≥0∞) * ENNReal.ofReal (δ ^ finrank ℝ E) ≤ ENNReal.ofReal (ρ ^ finrank ℝ E) := (ENNReal.mul_le_mul_right (measure_ball_pos _ _ zero_lt_one).ne' measure_ball_lt_top.ne).1 I have K : (s.card : ℝ) ≤ (5 : ℝ) ^ finrank ℝ E := by have := ENNReal.toReal_le_of_le_ofReal (pow_nonneg ρpos.le _) J simpa [ρ, δ, div_eq_mul_inv, mul_pow] using this exact mod_cast K #align besicovitch.card_le_of_separated Besicovitch.card_le_of_separated
Mathlib/MeasureTheory/Covering/BesicovitchVectorSpace.lean
153
157
theorem multiplicity_le : multiplicity E ≤ 5 ^ finrank ℝ E := by apply csSup_le
apply csSup_le · refine ⟨0, ⟨∅, by simp⟩⟩ · rintro _ ⟨s, ⟨rfl, h⟩⟩ exact Besicovitch.card_le_of_separated s h.1 h.2
true
import Mathlib.Init.Control.Combinators import Mathlib.Init.Function import Mathlib.Tactic.CasesM import Mathlib.Tactic.Attr.Core #align_import control.basic from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" universe u v w variable {α β γ : Type u} section Applicative variable {F : Type u → Type v} [Applicative F] def zipWithM {α₁ α₂ φ : Type u} (f : α₁ → α₂ → F φ) : ∀ (_ : List α₁) (_ : List α₂), F (List φ) | x :: xs, y :: ys => (· :: ·) <$> f x y <*> zipWithM f xs ys | _, _ => pure [] #align mzip_with zipWithM def zipWithM' (f : α → β → F γ) : List α → List β → F PUnit | x :: xs, y :: ys => f x y *> zipWithM' f xs ys | [], _ => pure PUnit.unit | _, [] => pure PUnit.unit #align mzip_with' zipWithM' variable [LawfulApplicative F] @[simp] theorem pure_id'_seq (x : F α) : (pure fun x => x) <*> x = x := pure_id_seq x #align pure_id'_seq pure_id'_seq @[functor_norm]
Mathlib/Control/Basic.lean
60
64
theorem seq_map_assoc (x : F (α → β)) (f : γ → α) (y : F γ) : x <*> f <$> y = (· ∘ f) <$> x <*> y := by simp only [← pure_seq]
simp only [← pure_seq] simp only [seq_assoc, Function.comp, seq_pure, ← comp_map] simp [pure_seq]
true
import Mathlib.Analysis.Convex.Slope import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Tactic.LinearCombination #align_import analysis.convex.specific_functions.basic from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" open Real Set NNReal theorem strictConvexOn_exp : StrictConvexOn ℝ univ exp := by apply strictConvexOn_of_slope_strict_mono_adjacent convex_univ rintro x y z - - hxy hyz trans exp y · have h1 : 0 < y - x := by linarith have h2 : x - y < 0 := by linarith rw [div_lt_iff h1] calc exp y - exp x = exp y - exp y * exp (x - y) := by rw [← exp_add]; ring_nf _ = exp y * (1 - exp (x - y)) := by ring _ < exp y * -(x - y) := by gcongr; linarith [add_one_lt_exp h2.ne] _ = exp y * (y - x) := by ring · have h1 : 0 < z - y := by linarith rw [lt_div_iff h1] calc exp y * (z - y) < exp y * (exp (z - y) - 1) := by gcongr _ * ?_ linarith [add_one_lt_exp h1.ne'] _ = exp (z - y) * exp y - exp y := by ring _ ≤ exp z - exp y := by rw [← exp_add]; ring_nf; rfl #align strict_convex_on_exp strictConvexOn_exp theorem convexOn_exp : ConvexOn ℝ univ exp := strictConvexOn_exp.convexOn #align convex_on_exp convexOn_exp theorem strictConcaveOn_log_Ioi : StrictConcaveOn ℝ (Ioi 0) log := by apply strictConcaveOn_of_slope_strict_anti_adjacent (convex_Ioi (0 : ℝ)) intro x y z (hx : 0 < x) (hz : 0 < z) hxy hyz have hy : 0 < y := hx.trans hxy trans y⁻¹ · have h : 0 < z - y := by linarith rw [div_lt_iff h] have hyz' : 0 < z / y := by positivity have hyz'' : z / y ≠ 1 := by contrapose! h rw [div_eq_one_iff_eq hy.ne'] at h simp [h] calc log z - log y = log (z / y) := by rw [← log_div hz.ne' hy.ne'] _ < z / y - 1 := log_lt_sub_one_of_pos hyz' hyz'' _ = y⁻¹ * (z - y) := by field_simp · have h : 0 < y - x := by linarith rw [lt_div_iff h] have hxy' : 0 < x / y := by positivity have hxy'' : x / y ≠ 1 := by contrapose! h rw [div_eq_one_iff_eq hy.ne'] at h simp [h] calc y⁻¹ * (y - x) = 1 - x / y := by field_simp _ < -log (x / y) := by linarith [log_lt_sub_one_of_pos hxy' hxy''] _ = -(log x - log y) := by rw [log_div hx.ne' hy.ne'] _ = log y - log x := by ring #align strict_concave_on_log_Ioi strictConcaveOn_log_Ioi
Mathlib/Analysis/Convex/SpecificFunctions/Basic.lean
99
122
theorem one_add_mul_self_lt_rpow_one_add {s : ℝ} (hs : -1 ≤ s) (hs' : s ≠ 0) {p : ℝ} (hp : 1 < p) : 1 + p * s < (1 + s) ^ p := by have hp' : 0 < p := zero_lt_one.trans hp
have hp' : 0 < p := zero_lt_one.trans hp rcases eq_or_lt_of_le hs with rfl | hs · rwa [add_right_neg, zero_rpow hp'.ne', mul_neg_one, add_neg_lt_iff_lt_add, zero_add] have hs1 : 0 < 1 + s := neg_lt_iff_pos_add'.mp hs rcases le_or_lt (1 + p * s) 0 with hs2 | hs2 · exact hs2.trans_lt (rpow_pos_of_pos hs1 _) have hs3 : 1 + s ≠ 1 := hs' ∘ add_right_eq_self.mp have hs4 : 1 + p * s ≠ 1 := by contrapose! hs'; rwa [add_right_eq_self, mul_eq_zero, eq_false_intro hp'.ne', false_or] at hs' rw [rpow_def_of_pos hs1, ← exp_log hs2] apply exp_strictMono cases' lt_or_gt_of_ne hs' with hs' hs' · rw [← div_lt_iff hp', ← div_lt_div_right_of_neg hs'] convert strictConcaveOn_log_Ioi.secant_strict_mono (zero_lt_one' ℝ) hs2 hs1 hs4 hs3 _ using 1 · rw [add_sub_cancel_left, log_one, sub_zero] · rw [add_sub_cancel_left, div_div, log_one, sub_zero] · apply add_lt_add_left (mul_lt_of_one_lt_left hs' hp) · rw [← div_lt_iff hp', ← div_lt_div_right hs'] convert strictConcaveOn_log_Ioi.secant_strict_mono (zero_lt_one' ℝ) hs1 hs2 hs3 hs4 _ using 1 · rw [add_sub_cancel_left, div_div, log_one, sub_zero] · rw [add_sub_cancel_left, log_one, sub_zero] · apply add_lt_add_left (lt_mul_of_one_lt_left hs' hp)
true
import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.AbsoluteValue import Mathlib.Data.Int.Cast.Lemmas import Mathlib.GroupTheory.GroupAction.Units #align_import data.int.absolute_value from "leanprover-community/mathlib"@"9aba7801eeecebb61f58a5763c2b6dd1b47dc6ef" variable {R S : Type*} [Ring R] [LinearOrderedCommRing S] @[simp] theorem AbsoluteValue.map_units_int (abv : AbsoluteValue ℤ S) (x : ℤˣ) : abv x = 1 := by rcases Int.units_eq_one_or x with (rfl | rfl) <;> simp #align absolute_value.map_units_int AbsoluteValue.map_units_int @[simp]
Mathlib/Data/Int/AbsoluteValue.lean
33
34
theorem AbsoluteValue.map_units_intCast [Nontrivial R] (abv : AbsoluteValue R S) (x : ℤˣ) : abv ((x : ℤ) : R) = 1 := by
rcases Int.units_eq_one_or x with (rfl | rfl) <;> simp
true
import Mathlib.Data.List.Cycle import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.Perm.List #align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a" open Equiv Equiv.Perm List variable {α : Type*} namespace Cycle variable [DecidableEq α] (s s' : Cycle α) def formPerm : ∀ s : Cycle α, Nodup s → Equiv.Perm α := fun s => Quotient.hrecOn s (fun l _ => List.formPerm l) fun l₁ l₂ (h : l₁ ~r l₂) => by apply Function.hfunext · ext exact h.nodup_iff · intro h₁ h₂ _ exact heq_of_eq (formPerm_eq_of_isRotated h₁ h) #align cycle.form_perm Cycle.formPerm @[simp] theorem formPerm_coe (l : List α) (hl : l.Nodup) : formPerm (l : Cycle α) hl = l.formPerm := rfl #align cycle.form_perm_coe Cycle.formPerm_coe
Mathlib/GroupTheory/Perm/Cycle/Concrete.lean
149
156
theorem formPerm_subsingleton (s : Cycle α) (h : Subsingleton s) : formPerm s h.nodup = 1 := by induction' s using Quot.inductionOn with s
induction' s using Quot.inductionOn with s simp only [formPerm_coe, mk_eq_coe] simp only [length_subsingleton_iff, length_coe, mk_eq_coe] at h cases' s with hd tl · simp · simp only [length_eq_zero, add_le_iff_nonpos_left, List.length, nonpos_iff_eq_zero] at h simp [h]
true
import Mathlib.LinearAlgebra.Dimension.Free import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition open FiniteDimensional namespace Subalgebra variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (A B : Subalgebra R S) [Module.Free R A] [Module.Free R B] [Module.Free A (Algebra.adjoin A (B : Set S))] [Module.Free B (Algebra.adjoin B (A : Set S))] theorem rank_sup_eq_rank_left_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R A * Module.rank A (Algebra.adjoin A (B : Set S)) := by rcases subsingleton_or_nontrivial R with _ | _ · haveI := Module.subsingleton R S; simp nontriviality S using rank_subsingleton' letI : Algebra A (Algebra.adjoin A (B : Set S)) := Subalgebra.algebra _ letI : SMul A (Algebra.adjoin A (B : Set S)) := Algebra.toSMul haveI : IsScalarTower R A (Algebra.adjoin A (B : Set S)) := IsScalarTower.of_algebraMap_eq (congrFun rfl) rw [rank_mul_rank R A (Algebra.adjoin A (B : Set S))] change _ = Module.rank R ((Algebra.adjoin A (B : Set S)).restrictScalars R) rw [Algebra.restrictScalars_adjoin]; rfl
Mathlib/Algebra/Algebra/Subalgebra/Rank.lean
43
45
theorem rank_sup_eq_rank_right_mul_rank_of_free : Module.rank R ↥(A ⊔ B) = Module.rank R B * Module.rank B (Algebra.adjoin B (A : Set S)) := by
rw [sup_comm, rank_sup_eq_rank_left_mul_rank_of_free]
true
import Mathlib.Data.Int.Interval import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Count import Mathlib.Data.Rat.Floor import Mathlib.Order.Interval.Finset.Nat open Finset Int namespace Int variable (a b : ℤ) {r : ℤ} (hr : 0 < r) lemma Ico_filter_dvd_eq : (Ico a b).filter (r ∣ ·) = (Ico ⌈a / (r : ℚ)⌉ ⌈b / (r : ℚ)⌉).map ⟨(· * r), mul_left_injective₀ hr.ne'⟩ := by ext x simp only [mem_map, mem_filter, mem_Ico, ceil_le, lt_ceil, div_le_iff, lt_div_iff, dvd_iff_exists_eq_mul_left, cast_pos.2 hr, ← cast_mul, cast_lt, cast_le] aesop lemma Ioc_filter_dvd_eq : (Ioc a b).filter (r ∣ ·) = (Ioc ⌊a / (r : ℚ)⌋ ⌊b / (r : ℚ)⌋).map ⟨(· * r), mul_left_injective₀ hr.ne'⟩ := by ext x simp only [mem_map, mem_filter, mem_Ioc, floor_lt, le_floor, div_lt_iff, le_div_iff, dvd_iff_exists_eq_mul_left, cast_pos.2 hr, ← cast_mul, cast_lt, cast_le] aesop theorem Ico_filter_dvd_card : ((Ico a b).filter (r ∣ ·)).card = max (⌈b / (r : ℚ)⌉ - ⌈a / (r : ℚ)⌉) 0 := by rw [Ico_filter_dvd_eq _ _ hr, card_map, card_Ico, toNat_eq_max] theorem Ioc_filter_dvd_card : ((Ioc a b).filter (r ∣ ·)).card = max (⌊b / (r : ℚ)⌋ - ⌊a / (r : ℚ)⌋) 0 := by rw [Ioc_filter_dvd_eq _ _ hr, card_map, card_Ioc, toNat_eq_max] lemma Ico_filter_modEq_eq (v : ℤ) : (Ico a b).filter (· ≡ v [ZMOD r]) = ((Ico (a - v) (b - v)).filter (r ∣ ·)).map ⟨(· + v), add_left_injective v⟩ := by ext x simp_rw [mem_map, mem_filter, mem_Ico, Function.Embedding.coeFn_mk, ← eq_sub_iff_add_eq, exists_eq_right, modEq_comm, modEq_iff_dvd, sub_lt_sub_iff_right, sub_le_sub_iff_right] lemma Ioc_filter_modEq_eq (v : ℤ) : (Ioc a b).filter (· ≡ v [ZMOD r]) = ((Ioc (a - v) (b - v)).filter (r ∣ ·)).map ⟨(· + v), add_left_injective v⟩ := by ext x simp_rw [mem_map, mem_filter, mem_Ioc, Function.Embedding.coeFn_mk, ← eq_sub_iff_add_eq, exists_eq_right, modEq_comm, modEq_iff_dvd, sub_lt_sub_iff_right, sub_le_sub_iff_right]
Mathlib/Data/Int/CardIntervalMod.lean
65
67
theorem Ico_filter_modEq_card (v : ℤ) : ((Ico a b).filter (· ≡ v [ZMOD r])).card = max (⌈(b - v) / (r : ℚ)⌉ - ⌈(a - v) / (r : ℚ)⌉) 0 := by
simp [Ico_filter_modEq_eq, Ico_filter_dvd_eq, toNat_eq_max, hr]
true
import Mathlib.Data.Matrix.Basic import Mathlib.LinearAlgebra.Matrix.Trace #align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794" variable {l m n : Type*} variable {R α : Type*} namespace Matrix open Matrix variable [DecidableEq l] [DecidableEq m] [DecidableEq n] variable [Semiring α] def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' => if i = i' ∧ j = j' then a else 0 #align matrix.std_basis_matrix Matrix.stdBasisMatrix @[simp] theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) : r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by unfold stdBasisMatrix ext simp [smul_ite] #align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix @[simp] theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by unfold stdBasisMatrix ext simp #align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) : stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by unfold stdBasisMatrix; ext split_ifs with h <;> simp [h] #align matrix.std_basis_matrix_add Matrix.stdBasisMatrix_add theorem mulVec_stdBasisMatrix [Fintype m] (i : n) (j : m) (c : α) (x : m → α) : mulVec (stdBasisMatrix i j c) x = Function.update (0 : n → α) i (c * x j) := by ext i' simp [stdBasisMatrix, mulVec, dotProduct] rcases eq_or_ne i i' with rfl|h · simp simp [h, h.symm] theorem matrix_eq_sum_std_basis [Fintype m] [Fintype n] (x : Matrix m n α) : x = ∑ i : m, ∑ j : n, stdBasisMatrix i j (x i j) := by ext i j; symm iterate 2 rw [Finset.sum_apply] -- Porting note: was `convert` refine (Fintype.sum_eq_single i ?_).trans ?_; swap · -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply` simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix] rw [Fintype.sum_apply, Fintype.sum_apply] simp · intro j' hj' -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply` simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix] rw [Fintype.sum_apply, Fintype.sum_apply] simp [hj'] #align matrix.matrix_eq_sum_std_basis Matrix.matrix_eq_sum_std_basis -- TODO: tie this up with the `Basis` machinery of linear algebra -- this is not completely trivial because we are indexing by two types, instead of one -- TODO: add `std_basis_vec` theorem std_basis_eq_basis_mul_basis (i : m) (j : n) : stdBasisMatrix i j (1 : α) = vecMulVec (fun i' => ite (i = i') 1 0) fun j' => ite (j = j') 1 0 := by ext i' j' -- Porting note: was `norm_num [std_basis_matrix, vec_mul_vec]` though there are no numerals -- involved. simp only [stdBasisMatrix, vecMulVec, mul_ite, mul_one, mul_zero, of_apply] -- Porting note: added next line simp_rw [@and_comm (i = i')] exact ite_and _ _ _ _ #align matrix.std_basis_eq_basis_mul_basis Matrix.std_basis_eq_basis_mul_basis -- todo: the old proof used fintypes, I don't know `Finsupp` but this feels generalizable @[elab_as_elim] protected theorem induction_on' [Finite m] [Finite n] {P : Matrix m n α → Prop} (M : Matrix m n α) (h_zero : P 0) (h_add : ∀ p q, P p → P q → P (p + q)) (h_std_basis : ∀ (i : m) (j : n) (x : α), P (stdBasisMatrix i j x)) : P M := by cases nonempty_fintype m; cases nonempty_fintype n rw [matrix_eq_sum_std_basis M, ← Finset.sum_product'] apply Finset.sum_induction _ _ h_add h_zero · intros apply h_std_basis #align matrix.induction_on' Matrix.induction_on' @[elab_as_elim] protected theorem induction_on [Finite m] [Finite n] [Nonempty m] [Nonempty n] {P : Matrix m n α → Prop} (M : Matrix m n α) (h_add : ∀ p q, P p → P q → P (p + q)) (h_std_basis : ∀ i j x, P (stdBasisMatrix i j x)) : P M := Matrix.induction_on' M (by inhabit m inhabit n simpa using h_std_basis default default 0) h_add h_std_basis #align matrix.induction_on Matrix.induction_on namespace StdBasisMatrix section variable (i : m) (j : n) (c : α) (i' : m) (j' : n) @[simp] theorem apply_same : stdBasisMatrix i j c i j = c := if_pos (And.intro rfl rfl) #align matrix.std_basis_matrix.apply_same Matrix.StdBasisMatrix.apply_same @[simp] theorem apply_of_ne (h : ¬(i = i' ∧ j = j')) : stdBasisMatrix i j c i' j' = 0 := by simp only [stdBasisMatrix, and_imp, ite_eq_right_iff] tauto #align matrix.std_basis_matrix.apply_of_ne Matrix.StdBasisMatrix.apply_of_ne @[simp] theorem apply_of_row_ne {i i' : m} (hi : i ≠ i') (j j' : n) (a : α) : stdBasisMatrix i j a i' j' = 0 := by simp [hi] #align matrix.std_basis_matrix.apply_of_row_ne Matrix.StdBasisMatrix.apply_of_row_ne @[simp]
Mathlib/Data/Matrix/Basis.lean
144
145
theorem apply_of_col_ne (i i' : m) {j j' : n} (hj : j ≠ j') (a : α) : stdBasisMatrix i j a i' j' = 0 := by
simp [hj]
true
import Mathlib.Order.Chain #align_import order.zorn from "leanprover-community/mathlib"@"46a64b5b4268c594af770c44d9e502afc6a515cb" open scoped Classical open Set variable {α β : Type*} {r : α → α → Prop} {c : Set α} local infixl:50 " ≺ " => r theorem exists_maximal_of_chains_bounded (h : ∀ c, IsChain r c → ∃ ub, ∀ a ∈ c, a ≺ ub) (trans : ∀ {a b c}, a ≺ b → b ≺ c → a ≺ c) : ∃ m, ∀ a, m ≺ a → a ≺ m := have : ∃ ub, ∀ a ∈ maxChain r, a ≺ ub := h _ <| maxChain_spec.left let ⟨ub, (hub : ∀ a ∈ maxChain r, a ≺ ub)⟩ := this ⟨ub, fun a ha => have : IsChain r (insert a <| maxChain r) := maxChain_spec.1.insert fun b hb _ => Or.inr <| trans (hub b hb) ha hub a <| by rw [maxChain_spec.right this (subset_insert _ _)] exact mem_insert _ _⟩ #align exists_maximal_of_chains_bounded exists_maximal_of_chains_bounded theorem exists_maximal_of_nonempty_chains_bounded [Nonempty α] (h : ∀ c, IsChain r c → c.Nonempty → ∃ ub, ∀ a ∈ c, a ≺ ub) (trans : ∀ {a b c}, a ≺ b → b ≺ c → a ≺ c) : ∃ m, ∀ a, m ≺ a → a ≺ m := exists_maximal_of_chains_bounded (fun c hc => (eq_empty_or_nonempty c).elim (fun h => ⟨Classical.arbitrary α, fun x hx => (h ▸ hx : x ∈ (∅ : Set α)).elim⟩) (h c hc)) trans #align exists_maximal_of_nonempty_chains_bounded exists_maximal_of_nonempty_chains_bounded section Preorder variable [Preorder α] theorem zorn_preorder (h : ∀ c : Set α, IsChain (· ≤ ·) c → BddAbove c) : ∃ m : α, ∀ a, m ≤ a → a ≤ m := exists_maximal_of_chains_bounded h le_trans #align zorn_preorder zorn_preorder theorem zorn_nonempty_preorder [Nonempty α] (h : ∀ c : Set α, IsChain (· ≤ ·) c → c.Nonempty → BddAbove c) : ∃ m : α, ∀ a, m ≤ a → a ≤ m := exists_maximal_of_nonempty_chains_bounded h le_trans #align zorn_nonempty_preorder zorn_nonempty_preorder theorem zorn_preorder₀ (s : Set α) (ih : ∀ c ⊆ s, IsChain (· ≤ ·) c → ∃ ub ∈ s, ∀ z ∈ c, z ≤ ub) : ∃ m ∈ s, ∀ z ∈ s, m ≤ z → z ≤ m := let ⟨⟨m, hms⟩, h⟩ := @zorn_preorder s _ fun c hc => let ⟨ub, hubs, hub⟩ := ih (Subtype.val '' c) (fun _ ⟨⟨_, hx⟩, _, h⟩ => h ▸ hx) (by rintro _ ⟨p, hpc, rfl⟩ _ ⟨q, hqc, rfl⟩ hpq exact hc hpc hqc fun t => hpq (Subtype.ext_iff.1 t)) ⟨⟨ub, hubs⟩, fun ⟨y, hy⟩ hc => hub _ ⟨_, hc, rfl⟩⟩ ⟨m, hms, fun z hzs hmz => h ⟨z, hzs⟩ hmz⟩ #align zorn_preorder₀ zorn_preorder₀
Mathlib/Order/Zorn.lean
128
141
theorem zorn_nonempty_preorder₀ (s : Set α) (ih : ∀ c ⊆ s, IsChain (· ≤ ·) c → ∀ y ∈ c, ∃ ub ∈ s, ∀ z ∈ c, z ≤ ub) (x : α) (hxs : x ∈ s) : ∃ m ∈ s, x ≤ m ∧ ∀ z ∈ s, m ≤ z → z ≤ m := by -- Porting note: the first three lines replace the following two lines in mathlib3.
-- Porting note: the first three lines replace the following two lines in mathlib3. -- The mathlib3 `rcases` supports holes for proof obligations, this is not yet implemented in 4. -- rcases zorn_preorder₀ ({ y ∈ s | x ≤ y }) fun c hcs hc => ?_ with ⟨m, ⟨hms, hxm⟩, hm⟩ -- · exact ⟨m, hms, hxm, fun z hzs hmz => hm _ ⟨hzs, hxm.trans hmz⟩ hmz⟩ have H := zorn_preorder₀ ({ y ∈ s | x ≤ y }) fun c hcs hc => ?_ · rcases H with ⟨m, ⟨hms, hxm⟩, hm⟩ exact ⟨m, hms, hxm, fun z hzs hmz => hm _ ⟨hzs, hxm.trans hmz⟩ hmz⟩ · rcases c.eq_empty_or_nonempty with (rfl | ⟨y, hy⟩) · exact ⟨x, ⟨hxs, le_rfl⟩, fun z => False.elim⟩ · rcases ih c (fun z hz => (hcs hz).1) hc y hy with ⟨z, hzs, hz⟩ exact ⟨z, ⟨hzs, (hcs hy).2.trans <| hz _ hy⟩, hz⟩
true
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
Mathlib/LinearAlgebra/Trace.lean
92
95
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,
rw [trace_eq_matrix_trace_of_finset R b.reindexFinsetRange, ← traceAux_def, ← traceAux_def, traceAux_eq R b b.reindexFinsetRange]
true
import Mathlib.Algebra.Order.Ring.Nat #align_import data.nat.dist from "leanprover-community/mathlib"@"d50b12ae8e2bd910d08a94823976adae9825718b" namespace Nat def dist (n m : ℕ) := n - m + (m - n) #align nat.dist Nat.dist -- Should be aligned to `Nat.dist.eq_def`, but that is generated on demand and isn't present yet. #noalign nat.dist.def theorem dist_comm (n m : ℕ) : dist n m = dist m n := by simp [dist, add_comm] #align nat.dist_comm Nat.dist_comm @[simp] theorem dist_self (n : ℕ) : dist n n = 0 := by simp [dist, tsub_self] #align nat.dist_self Nat.dist_self theorem eq_of_dist_eq_zero {n m : ℕ} (h : dist n m = 0) : n = m := have : n - m = 0 := Nat.eq_zero_of_add_eq_zero_right h have : n ≤ m := tsub_eq_zero_iff_le.mp this have : m - n = 0 := Nat.eq_zero_of_add_eq_zero_left h have : m ≤ n := tsub_eq_zero_iff_le.mp this le_antisymm ‹n ≤ m› ‹m ≤ n› #align nat.eq_of_dist_eq_zero Nat.eq_of_dist_eq_zero theorem dist_eq_zero {n m : ℕ} (h : n = m) : dist n m = 0 := by rw [h, dist_self] #align nat.dist_eq_zero Nat.dist_eq_zero
Mathlib/Data/Nat/Dist.lean
45
46
theorem dist_eq_sub_of_le {n m : ℕ} (h : n ≤ m) : dist n m = m - n := by
rw [dist, tsub_eq_zero_iff_le.mpr h, zero_add]
true
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp]
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
81
83
theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x
ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal
true
import Mathlib.Topology.MetricSpace.PseudoMetric #align_import topology.metric_space.basic from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Bornology open scoped NNReal Uniformity universe u v w variable {α : Type u} {β : Type v} {X ι : Type*} variable [PseudoMetricSpace α] class MetricSpace (α : Type u) extends PseudoMetricSpace α : Type u where eq_of_dist_eq_zero : ∀ {x y : α}, dist x y = 0 → x = y #align metric_space MetricSpace @[ext] theorem MetricSpace.ext {α : Type*} {m m' : MetricSpace α} (h : m.toDist = m'.toDist) : m = m' := by cases m; cases m'; congr; ext1; assumption #align metric_space.ext MetricSpace.ext def MetricSpace.ofDistTopology {α : Type u} [TopologicalSpace α] (dist : α → α → ℝ) (dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x) (dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) (H : ∀ s : Set α, IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ∀ y, dist x y < ε → y ∈ s) (eq_of_dist_eq_zero : ∀ x y : α, dist x y = 0 → x = y) : MetricSpace α := { PseudoMetricSpace.ofDistTopology dist dist_self dist_comm dist_triangle H with eq_of_dist_eq_zero := eq_of_dist_eq_zero _ _ } #align metric_space.of_dist_topology MetricSpace.ofDistTopology variable {γ : Type w} [MetricSpace γ] theorem eq_of_dist_eq_zero {x y : γ} : dist x y = 0 → x = y := MetricSpace.eq_of_dist_eq_zero #align eq_of_dist_eq_zero eq_of_dist_eq_zero @[simp] theorem dist_eq_zero {x y : γ} : dist x y = 0 ↔ x = y := Iff.intro eq_of_dist_eq_zero fun this => this ▸ dist_self _ #align dist_eq_zero dist_eq_zero @[simp] theorem zero_eq_dist {x y : γ} : 0 = dist x y ↔ x = y := by rw [eq_comm, dist_eq_zero] #align zero_eq_dist zero_eq_dist theorem dist_ne_zero {x y : γ} : dist x y ≠ 0 ↔ x ≠ y := by simpa only [not_iff_not] using dist_eq_zero #align dist_ne_zero dist_ne_zero @[simp]
Mathlib/Topology/MetricSpace/Basic.lean
82
83
theorem dist_le_zero {x y : γ} : dist x y ≤ 0 ↔ x = y := by
simpa [le_antisymm_iff, dist_nonneg] using @dist_eq_zero _ _ x y
true
import Mathlib.Algebra.CharP.Defs import Mathlib.RingTheory.Multiplicity import Mathlib.RingTheory.PowerSeries.Basic #align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60" noncomputable section open Polynomial open Finset (antidiagonal mem_antidiagonal) namespace PowerSeries open Finsupp (single) variable {R : Type*} section OrderBasic open multiplicity variable [Semiring R] {φ : R⟦X⟧} theorem exists_coeff_ne_zero_iff_ne_zero : (∃ n : ℕ, coeff R n φ ≠ 0) ↔ φ ≠ 0 := by refine not_iff_not.mp ?_ push_neg -- FIXME: the `FunLike.coe` doesn't seem to be picked up in the expression after #8386? simp [PowerSeries.ext_iff, (coeff R _).map_zero] #align power_series.exists_coeff_ne_zero_iff_ne_zero PowerSeries.exists_coeff_ne_zero_iff_ne_zero def order (φ : R⟦X⟧) : PartENat := letI := Classical.decEq R letI := Classical.decEq R⟦X⟧ if h : φ = 0 then ⊤ else Nat.find (exists_coeff_ne_zero_iff_ne_zero.mpr h) #align power_series.order PowerSeries.order @[simp] theorem order_zero : order (0 : R⟦X⟧) = ⊤ := dif_pos rfl #align power_series.order_zero PowerSeries.order_zero theorem order_finite_iff_ne_zero : (order φ).Dom ↔ φ ≠ 0 := by simp only [order] constructor · split_ifs with h <;> intro H · simp only [PartENat.top_eq_none, Part.not_none_dom] at H · exact h · intro h simp [h] #align power_series.order_finite_iff_ne_zero PowerSeries.order_finite_iff_ne_zero theorem coeff_order (h : (order φ).Dom) : coeff R (φ.order.get h) φ ≠ 0 := by classical simp only [order, order_finite_iff_ne_zero.mp h, not_false_iff, dif_neg, PartENat.get_natCast'] generalize_proofs h exact Nat.find_spec h #align power_series.coeff_order PowerSeries.coeff_order theorem order_le (n : ℕ) (h : coeff R n φ ≠ 0) : order φ ≤ n := by classical rw [order, dif_neg] · simp only [PartENat.coe_le_coe] exact Nat.find_le h · exact exists_coeff_ne_zero_iff_ne_zero.mp ⟨n, h⟩ #align power_series.order_le PowerSeries.order_le theorem coeff_of_lt_order (n : ℕ) (h : ↑n < order φ) : coeff R n φ = 0 := by contrapose! h exact order_le _ h #align power_series.coeff_of_lt_order PowerSeries.coeff_of_lt_order @[simp] theorem order_eq_top {φ : R⟦X⟧} : φ.order = ⊤ ↔ φ = 0 := PartENat.not_dom_iff_eq_top.symm.trans order_finite_iff_ne_zero.not_left #align power_series.order_eq_top PowerSeries.order_eq_top theorem nat_le_order (φ : R⟦X⟧) (n : ℕ) (h : ∀ i < n, coeff R i φ = 0) : ↑n ≤ order φ := by by_contra H; rw [not_le] at H have : (order φ).Dom := PartENat.dom_of_le_natCast H.le rw [← PartENat.natCast_get this, PartENat.coe_lt_coe] at H exact coeff_order this (h _ H) #align power_series.nat_le_order PowerSeries.nat_le_order theorem le_order (φ : R⟦X⟧) (n : PartENat) (h : ∀ i : ℕ, ↑i < n → coeff R i φ = 0) : n ≤ order φ := by induction n using PartENat.casesOn · show _ ≤ _ rw [top_le_iff, order_eq_top] ext i exact h _ (PartENat.natCast_lt_top i) · apply nat_le_order simpa only [PartENat.coe_lt_coe] using h #align power_series.le_order PowerSeries.le_order theorem order_eq_nat {φ : R⟦X⟧} {n : ℕ} : order φ = n ↔ coeff R n φ ≠ 0 ∧ ∀ i, i < n → coeff R i φ = 0 := by classical rcases eq_or_ne φ 0 with (rfl | hφ) · simpa [(coeff R _).map_zero] using (PartENat.natCast_ne_top _).symm simp [order, dif_neg hφ, Nat.find_eq_iff] #align power_series.order_eq_nat PowerSeries.order_eq_nat
Mathlib/RingTheory/PowerSeries/Order.lean
144
157
theorem order_eq {φ : R⟦X⟧} {n : PartENat} : order φ = n ↔ (∀ i : ℕ, ↑i = n → coeff R i φ ≠ 0) ∧ ∀ i : ℕ, ↑i < n → coeff R i φ = 0 := by induction n using PartENat.casesOn
induction n using PartENat.casesOn · rw [order_eq_top] constructor · rintro rfl constructor <;> intros · exfalso exact PartENat.natCast_ne_top ‹_› ‹_› · exact (coeff _ _).map_zero · rintro ⟨_h₁, h₂⟩ ext i exact h₂ i (PartENat.natCast_lt_top i) · simpa [PartENat.natCast_inj] using order_eq_nat
true
import Mathlib.MeasureTheory.Measure.Restrict open scoped ENNReal NNReal Topology open Set MeasureTheory Measure Filter Function MeasurableSpace ENNReal variable {α β δ ι : Type*} namespace MeasureTheory variable {m0 : MeasurableSpace α} [MeasurableSpace β] {μ ν ν₁ ν₂: Measure α} {s t : Set α} section NoAtoms class NoAtoms {m0 : MeasurableSpace α} (μ : Measure α) : Prop where measure_singleton : ∀ x, μ {x} = 0 #align measure_theory.has_no_atoms MeasureTheory.NoAtoms #align measure_theory.has_no_atoms.measure_singleton MeasureTheory.NoAtoms.measure_singleton export MeasureTheory.NoAtoms (measure_singleton) attribute [simp] measure_singleton variable [NoAtoms μ] theorem _root_.Set.Subsingleton.measure_zero (hs : s.Subsingleton) (μ : Measure α) [NoAtoms μ] : μ s = 0 := hs.induction_on (p := fun s => μ s = 0) measure_empty measure_singleton #align set.subsingleton.measure_zero Set.Subsingleton.measure_zero theorem Measure.restrict_singleton' {a : α} : μ.restrict {a} = 0 := by simp only [measure_singleton, Measure.restrict_eq_zero] #align measure_theory.measure.restrict_singleton' MeasureTheory.Measure.restrict_singleton' instance Measure.restrict.instNoAtoms (s : Set α) : NoAtoms (μ.restrict s) := by refine ⟨fun x => ?_⟩ obtain ⟨t, hxt, ht1, ht2⟩ := exists_measurable_superset_of_null (measure_singleton x : μ {x} = 0) apply measure_mono_null hxt rw [Measure.restrict_apply ht1] apply measure_mono_null inter_subset_left ht2 #align measure_theory.measure.restrict.has_no_atoms MeasureTheory.Measure.restrict.instNoAtoms
Mathlib/MeasureTheory/Measure/Typeclasses.lean
390
393
theorem _root_.Set.Countable.measure_zero (h : s.Countable) (μ : Measure α) [NoAtoms μ] : μ s = 0 := by rw [← biUnion_of_singleton s, measure_biUnion_null_iff h]
rw [← biUnion_of_singleton s, measure_biUnion_null_iff h] simp
true
import Mathlib.Analysis.Analytic.Linear import Mathlib.Analysis.Analytic.Composition import Mathlib.Analysis.NormedSpace.Completion #align_import analysis.analytic.uniqueness from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] open Set open scoped Topology ENNReal namespace AnalyticOn theorem eqOn_zero_of_preconnected_of_eventuallyEq_zero_aux [CompleteSpace F] {f : E → F} {U : Set E} (hf : AnalyticOn 𝕜 f U) (hU : IsPreconnected U) {z₀ : E} (h₀ : z₀ ∈ U) (hfz₀ : f =ᶠ[𝓝 z₀] 0) : EqOn f 0 U := by let u := {x | f =ᶠ[𝓝 x] 0} suffices main : closure u ∩ U ⊆ u by have Uu : U ⊆ u := hU.subset_of_closure_inter_subset isOpen_setOf_eventually_nhds ⟨z₀, h₀, hfz₀⟩ main intro z hz simpa using mem_of_mem_nhds (Uu hz) rintro x ⟨xu, xU⟩ rcases hf x xU with ⟨p, r, hp⟩ obtain ⟨y, yu, hxy⟩ : ∃ y ∈ u, edist x y < r / 2 := EMetric.mem_closure_iff.1 xu (r / 2) (ENNReal.half_pos hp.r_pos.ne') let q := p.changeOrigin (y - x) have has_series : HasFPowerSeriesOnBall f q y (r / 2) := by have A : (‖y - x‖₊ : ℝ≥0∞) < r / 2 := by rwa [edist_comm, edist_eq_coe_nnnorm_sub] at hxy have := hp.changeOrigin (A.trans_le ENNReal.half_le_self) simp only [add_sub_cancel] at this apply this.mono (ENNReal.half_pos hp.r_pos.ne') apply ENNReal.le_sub_of_add_le_left ENNReal.coe_ne_top apply (add_le_add A.le (le_refl (r / 2))).trans (le_of_eq _) exact ENNReal.add_halves _ have M : EMetric.ball y (r / 2) ∈ 𝓝 x := EMetric.isOpen_ball.mem_nhds hxy filter_upwards [M] with z hz have A : HasSum (fun n : ℕ => q n fun _ : Fin n => z - y) (f z) := has_series.hasSum_sub hz have B : HasSum (fun n : ℕ => q n fun _ : Fin n => z - y) 0 := by have : HasFPowerSeriesAt 0 q y := has_series.hasFPowerSeriesAt.congr yu convert hasSum_zero (α := F) using 2 ext n exact this.apply_eq_zero n _ exact HasSum.unique A B #align analytic_on.eq_on_zero_of_preconnected_of_eventually_eq_zero_aux AnalyticOn.eqOn_zero_of_preconnected_of_eventuallyEq_zero_aux
Mathlib/Analysis/Analytic/Uniqueness.lean
77
89
theorem eqOn_zero_of_preconnected_of_eventuallyEq_zero {f : E → F} {U : Set E} (hf : AnalyticOn 𝕜 f U) (hU : IsPreconnected U) {z₀ : E} (h₀ : z₀ ∈ U) (hfz₀ : f =ᶠ[𝓝 z₀] 0) : EqOn f 0 U := by let F' := UniformSpace.Completion F
let F' := UniformSpace.Completion F set e : F →L[𝕜] F' := UniformSpace.Completion.toComplL have : AnalyticOn 𝕜 (e ∘ f) U := fun x hx => (e.analyticAt _).comp (hf x hx) have A : EqOn (e ∘ f) 0 U := by apply eqOn_zero_of_preconnected_of_eventuallyEq_zero_aux this hU h₀ filter_upwards [hfz₀] with x hx simp only [hx, Function.comp_apply, Pi.zero_apply, map_zero] intro z hz have : e (f z) = e 0 := by simpa only using A hz exact UniformSpace.Completion.coe_injective F this
true
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex #align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section namespace Real open Set Filter open scoped Topology Real theorem tan_add {x y : ℝ} (h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div, Complex.ofReal_mul, Complex.ofReal_tan] using @Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast) #align real.tan_add Real.tan_add theorem tan_add' {x y : ℝ} (h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := tan_add (Or.inl h) #align real.tan_add' Real.tan_add' theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by have := @Complex.tan_two_mul x norm_cast at * #align real.tan_two_mul Real.tan_two_mul theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 := tan_eq_zero_iff.mpr (by use n) #align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos] rwa [h_eq] at this exact continuousOn_sin.div continuousOn_cos fun x => id #align real.continuous_on_tan Real.continuousOn_tan @[continuity] theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x := continuousOn_iff_continuous_restrict.1 continuousOn_tan #align real.continuous_tan Real.continuous_tan
Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean
68
86
theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by refine ContinuousOn.mono continuousOn_tan fun x => ?_
refine ContinuousOn.mono continuousOn_tan fun x => ?_ simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne] rw [cos_eq_zero_iff] rintro hx_gt hx_lt ⟨r, hxr_eq⟩ rcases le_or_lt 0 r with h | h · rw [lt_iff_not_ge] at hx_lt refine hx_lt ?_ rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)] simp [h] · rw [lt_iff_not_ge] at hx_gt refine hx_gt ?_ rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul, mul_le_mul_right (half_pos pi_pos)] have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff] · set_option tactic.skipAssignedInstances false in norm_num rw [← Int.cast_one, ← Int.cast_neg]; norm_cast · exact zero_lt_two
true
import Mathlib.Geometry.Manifold.ChartedSpace #align_import geometry.manifold.local_invariant_properties from "leanprover-community/mathlib"@"431589bce478b2229eba14b14a283250428217db" noncomputable section open scoped Classical open Manifold Topology open Set Filter TopologicalSpace variable {H M H' M' X : Type*} variable [TopologicalSpace H] [TopologicalSpace M] [ChartedSpace H M] variable [TopologicalSpace H'] [TopologicalSpace M'] [ChartedSpace H' M'] variable [TopologicalSpace X] namespace StructureGroupoid variable (G : StructureGroupoid H) (G' : StructureGroupoid H') structure LocalInvariantProp (P : (H → H') → Set H → H → Prop) : Prop where is_local : ∀ {s x u} {f : H → H'}, IsOpen u → x ∈ u → (P f s x ↔ P f (s ∩ u) x) right_invariance' : ∀ {s x f} {e : PartialHomeomorph H H}, e ∈ G → x ∈ e.source → P f s x → P (f ∘ e.symm) (e.symm ⁻¹' s) (e x) congr_of_forall : ∀ {s x} {f g : H → H'}, (∀ y ∈ s, f y = g y) → f x = g x → P f s x → P g s x left_invariance' : ∀ {s x f} {e' : PartialHomeomorph H' H'}, e' ∈ G' → s ⊆ f ⁻¹' e'.source → f x ∈ e'.source → P f s x → P (e' ∘ f) s x #align structure_groupoid.local_invariant_prop StructureGroupoid.LocalInvariantProp variable {G G'} {P : (H → H') → Set H → H → Prop} {s t u : Set H} {x : H} variable (hG : G.LocalInvariantProp G' P) namespace LocalInvariantProp theorem congr_set {s t : Set H} {x : H} {f : H → H'} (hu : s =ᶠ[𝓝 x] t) : P f s x ↔ P f t x := by obtain ⟨o, host, ho, hxo⟩ := mem_nhds_iff.mp hu.mem_iff simp_rw [subset_def, mem_setOf, ← and_congr_left_iff, ← mem_inter_iff, ← Set.ext_iff] at host rw [hG.is_local ho hxo, host, ← hG.is_local ho hxo] #align structure_groupoid.local_invariant_prop.congr_set StructureGroupoid.LocalInvariantProp.congr_set theorem is_local_nhds {s u : Set H} {x : H} {f : H → H'} (hu : u ∈ 𝓝[s] x) : P f s x ↔ P f (s ∩ u) x := hG.congr_set <| mem_nhdsWithin_iff_eventuallyEq.mp hu #align structure_groupoid.local_invariant_prop.is_local_nhds StructureGroupoid.LocalInvariantProp.is_local_nhds
Mathlib/Geometry/Manifold/LocalInvariantProperties.lean
93
96
theorem congr_iff_nhdsWithin {s : Set H} {x : H} {f g : H → H'} (h1 : f =ᶠ[𝓝[s] x] g) (h2 : f x = g x) : P f s x ↔ P g s x := by simp_rw [hG.is_local_nhds h1]
simp_rw [hG.is_local_nhds h1] exact ⟨hG.congr_of_forall (fun y hy ↦ hy.2) h2, hG.congr_of_forall (fun y hy ↦ hy.2.symm) h2.symm⟩
true
import Mathlib.Analysis.Convex.Between import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.Topology.MetricSpace.Holder import Mathlib.Topology.MetricSpace.MetricSeparated #align_import measure_theory.measure.hausdorff from "leanprover-community/mathlib"@"3d5c4a7a5fb0d982f97ed953161264f1dbd90ead" open scoped NNReal ENNReal Topology open EMetric Set Function Filter Encodable FiniteDimensional TopologicalSpace noncomputable section variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y] namespace MeasureTheory namespace OuterMeasure def IsMetric (μ : OuterMeasure X) : Prop := ∀ s t : Set X, IsMetricSeparated s t → μ (s ∪ t) = μ s + μ t #align measure_theory.outer_measure.is_metric MeasureTheory.OuterMeasure.IsMetric namespace IsMetric variable {μ : OuterMeasure X}
Mathlib/MeasureTheory/Measure/Hausdorff.lean
143
153
theorem finset_iUnion_of_pairwise_separated (hm : IsMetric μ) {I : Finset ι} {s : ι → Set X} (hI : ∀ i ∈ I, ∀ j ∈ I, i ≠ j → IsMetricSeparated (s i) (s j)) : μ (⋃ i ∈ I, s i) = ∑ i ∈ I, μ (s i) := by classical
classical induction' I using Finset.induction_on with i I hiI ihI hI · simp simp only [Finset.mem_insert] at hI rw [Finset.set_biUnion_insert, hm, ihI, Finset.sum_insert hiI] exacts [fun i hi j hj hij => hI i (Or.inr hi) j (Or.inr hj) hij, IsMetricSeparated.finset_iUnion_right fun j hj => hI i (Or.inl rfl) j (Or.inr hj) (ne_of_mem_of_not_mem hj hiI).symm]
true
import Mathlib.Data.Set.Pointwise.SMul import Mathlib.GroupTheory.GroupAction.Pi #align_import algebra.module.pointwise_pi from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Pointwise open Set variable {K ι : Type*} {R : ι → Type*} @[to_additive]
Mathlib/Algebra/Module/PointwisePi.lean
29
32
theorem smul_pi_subset [∀ i, SMul K (R i)] (r : K) (s : Set ι) (t : ∀ i, Set (R i)) : r • pi s t ⊆ pi s (r • t) := by rintro x ⟨y, h, rfl⟩ i hi
rintro x ⟨y, h, rfl⟩ i hi exact smul_mem_smul_set (h i hi)
true
import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.RingTheory.Finiteness open scoped TensorProduct open Submodule variable {R M N : Type*} variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N] variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N} namespace TensorProduct theorem exists_multiset (x : M ⊗[R] N) : ∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨{(x, y)}, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩ theorem exists_finsupp_left (x : M ⊗[R] N) : ∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨Finsupp.single x y, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy use Sx + Sy rw [hx, hy] exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm theorem exists_finsupp_right (x : M ⊗[R] N) : ∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x) refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩ simp_rw [h, Finsupp.sum, map_sum, comm_tmul] theorem exists_finset (x : M ⊗[R] N) : ∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by obtain ⟨S, h⟩ := exists_finsupp_left x use S.graph rw [h, Finsupp.sum] apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean
98
116
theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) : ∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧ s ⊆ LinearMap.range (mapIncl M' N') := by simp_rw [Module.Finite.iff_fg]
simp_rw [Module.Finite.iff_fg] refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_ rintro a s - - ⟨M', N', hM', hN', h⟩ refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_ · exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩ · refine ⟨_, _, hM'.sup (fg_span_singleton x), hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩ · exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ ⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩ · exact range_mapIncl_mono le_sup_left le_sup_left (h hz) · obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩ · exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s)) · exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s)) · exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
true
import Mathlib.CategoryTheory.ConcreteCategory.Basic import Mathlib.CategoryTheory.Limits.Preserves.Basic import Mathlib.CategoryTheory.Limits.TypesFiltered import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.Tactic.ApplyFun #align_import category_theory.limits.concrete_category from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" universe t w v u r open CategoryTheory namespace CategoryTheory.Limits attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort section Limits lemma Concrete.small_sections_of_hasLimit {C : Type u} [Category.{v} C] [ConcreteCategory.{v} C] [(forget C).Corepresentable] {J : Type w} [Category.{t} J] (G : J ⥤ C) [HasLimit G] : Small.{v} (G ⋙ forget C).sections := by rw [← Types.hasLimit_iff_small_sections] infer_instance variable {C : Type u} [Category.{v} C] [ConcreteCategory.{max w v} C] {J : Type w} [Category.{t} J] (F : J ⥤ C) [PreservesLimit F (forget C)]
Mathlib/CategoryTheory/Limits/ConcreteCategory.lean
41
54
theorem Concrete.to_product_injective_of_isLimit {D : Cone F} (hD : IsLimit D) : Function.Injective fun (x : D.pt) (j : J) => D.π.app j x := by let E := (forget C).mapCone D
let E := (forget C).mapCone D let hE : IsLimit E := isLimitOfPreserves _ hD let G := Types.limitCone.{w, v} (F ⋙ forget C) let hG := Types.limitConeIsLimit.{w, v} (F ⋙ forget C) let T : E.pt ≅ G.pt := hE.conePointUniqueUpToIso hG change Function.Injective (T.hom ≫ fun x j => G.π.app j x) have h : Function.Injective T.hom := by intro a b h suffices T.inv (T.hom a) = T.inv (T.hom b) by simpa rw [h] suffices Function.Injective fun (x : G.pt) j => G.π.app j x by exact this.comp h apply Subtype.ext
true
import Mathlib.Algebra.Category.GroupCat.Abelian import Mathlib.CategoryTheory.Limits.Shapes.Images #align_import algebra.category.Group.images from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open CategoryTheory open CategoryTheory.Limits universe u namespace AddCommGroupCat set_option linter.uppercaseLean3 false -- Note that because `injective_of_mono` is currently only proved in `Type 0`, -- we restrict to the lowest universe here for now. variable {G H : AddCommGroupCat.{0}} (f : G ⟶ H) attribute [local ext] Subtype.ext_val section -- implementation details of `IsImage` for `AddCommGroupCat`; use the API, not these def image : AddCommGroupCat := AddCommGroupCat.of (AddMonoidHom.range f) #align AddCommGroup.image AddCommGroupCat.image def image.ι : image f ⟶ H := f.range.subtype #align AddCommGroup.image.ι AddCommGroupCat.image.ι instance : Mono (image.ι f) := ConcreteCategory.mono_of_injective (image.ι f) Subtype.val_injective def factorThruImage : G ⟶ image f := f.rangeRestrict #align AddCommGroup.factor_thru_image AddCommGroupCat.factorThruImage
Mathlib/Algebra/Category/GroupCat/Images.lean
56
58
theorem image.fac : factorThruImage f ≫ image.ι f = f := by ext
ext rfl
true
import Mathlib.Combinatorics.SimpleGraph.Clique import Mathlib.Data.ENat.Lattice import Mathlib.Data.Nat.Lattice import Mathlib.Data.Setoid.Partition import Mathlib.Order.Antichain #align_import combinatorics.simple_graph.coloring from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open Fintype Function universe u v namespace SimpleGraph variable {V : Type u} (G : SimpleGraph V) {n : ℕ} abbrev Coloring (α : Type v) := G →g (⊤ : SimpleGraph α) #align simple_graph.coloring SimpleGraph.Coloring variable {G} {α β : Type*} (C : G.Coloring α) theorem Coloring.valid {v w : V} (h : G.Adj v w) : C v ≠ C w := C.map_rel h #align simple_graph.coloring.valid SimpleGraph.Coloring.valid @[match_pattern] def Coloring.mk (color : V → α) (valid : ∀ {v w : V}, G.Adj v w → color v ≠ color w) : G.Coloring α := ⟨color, @valid⟩ #align simple_graph.coloring.mk SimpleGraph.Coloring.mk def Coloring.colorClass (c : α) : Set V := { v : V | C v = c } #align simple_graph.coloring.color_class SimpleGraph.Coloring.colorClass def Coloring.colorClasses : Set (Set V) := (Setoid.ker C).classes #align simple_graph.coloring.color_classes SimpleGraph.Coloring.colorClasses theorem Coloring.mem_colorClass (v : V) : v ∈ C.colorClass (C v) := rfl #align simple_graph.coloring.mem_color_class SimpleGraph.Coloring.mem_colorClass theorem Coloring.colorClasses_isPartition : Setoid.IsPartition C.colorClasses := Setoid.isPartition_classes (Setoid.ker C) #align simple_graph.coloring.color_classes_is_partition SimpleGraph.Coloring.colorClasses_isPartition theorem Coloring.mem_colorClasses {v : V} : C.colorClass (C v) ∈ C.colorClasses := ⟨v, rfl⟩ #align simple_graph.coloring.mem_color_classes SimpleGraph.Coloring.mem_colorClasses theorem Coloring.colorClasses_finite [Finite α] : C.colorClasses.Finite := Setoid.finite_classes_ker _ #align simple_graph.coloring.color_classes_finite SimpleGraph.Coloring.colorClasses_finite
Mathlib/Combinatorics/SimpleGraph/Coloring.lean
114
119
theorem Coloring.card_colorClasses_le [Fintype α] [Fintype C.colorClasses] : Fintype.card C.colorClasses ≤ Fintype.card α := by simp [colorClasses]
simp [colorClasses] -- Porting note: brute force instance declaration `[Fintype (Setoid.classes (Setoid.ker C))]` haveI : Fintype (Setoid.classes (Setoid.ker C)) := by assumption convert Setoid.card_classes_ker_le C
true
import Mathlib.Analysis.SpecialFunctions.Pow.Real #align_import analysis.special_functions.log.monotone from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" open Set Filter Function open Topology noncomputable section namespace Real variable {x y : ℝ} theorem log_mul_self_monotoneOn : MonotoneOn (fun x : ℝ => log x * x) { x | 1 ≤ x } := by -- TODO: can be strengthened to exp (-1) ≤ x simp only [MonotoneOn, mem_setOf_eq] intro x hex y hey hxy have y_pos : 0 < y := lt_of_lt_of_le zero_lt_one hey gcongr rwa [le_log_iff_exp_le y_pos, Real.exp_zero] #align real.log_mul_self_monotone_on Real.log_mul_self_monotoneOn theorem log_div_self_antitoneOn : AntitoneOn (fun x : ℝ => log x / x) { x | exp 1 ≤ x } := by simp only [AntitoneOn, mem_setOf_eq] intro x hex y hey hxy have x_pos : 0 < x := (exp_pos 1).trans_le hex have y_pos : 0 < y := (exp_pos 1).trans_le hey have hlogx : 1 ≤ log x := by rwa [le_log_iff_exp_le x_pos] have hyx : 0 ≤ y / x - 1 := by rwa [le_sub_iff_add_le, le_div_iff x_pos, zero_add, one_mul] rw [div_le_iff y_pos, ← sub_le_sub_iff_right (log x)] calc log y - log x = log (y / x) := by rw [log_div y_pos.ne' x_pos.ne'] _ ≤ y / x - 1 := log_le_sub_one_of_pos (div_pos y_pos x_pos) _ ≤ log x * (y / x - 1) := le_mul_of_one_le_left hyx hlogx _ = log x / x * y - log x := by ring #align real.log_div_self_antitone_on Real.log_div_self_antitoneOn
Mathlib/Analysis/SpecialFunctions/Log/Monotone.lean
56
82
theorem log_div_self_rpow_antitoneOn {a : ℝ} (ha : 0 < a) : AntitoneOn (fun x : ℝ => log x / x ^ a) { x | exp (1 / a) ≤ x } := by simp only [AntitoneOn, mem_setOf_eq]
simp only [AntitoneOn, mem_setOf_eq] intro x hex y _ hxy have x_pos : 0 < x := lt_of_lt_of_le (exp_pos (1 / a)) hex have y_pos : 0 < y := by linarith have x_nonneg : 0 ≤ x := le_trans (le_of_lt (exp_pos (1 / a))) hex have y_nonneg : 0 ≤ y := by linarith nth_rw 1 [← rpow_one y] nth_rw 1 [← rpow_one x] rw [← div_self (ne_of_lt ha).symm, div_eq_mul_one_div a a, rpow_mul y_nonneg, rpow_mul x_nonneg, log_rpow (rpow_pos_of_pos y_pos a), log_rpow (rpow_pos_of_pos x_pos a), mul_div_assoc, mul_div_assoc, mul_le_mul_left (one_div_pos.mpr ha)] refine log_div_self_antitoneOn ?_ ?_ ?_ · simp only [Set.mem_setOf_eq] convert rpow_le_rpow _ hex (le_of_lt ha) using 1 · rw [← exp_mul] simp only [Real.exp_eq_exp] field_simp [(ne_of_lt ha).symm] exact le_of_lt (exp_pos (1 / a)) · simp only [Set.mem_setOf_eq] convert rpow_le_rpow _ (_root_.trans hex hxy) (le_of_lt ha) using 1 · rw [← exp_mul] simp only [Real.exp_eq_exp] field_simp [(ne_of_lt ha).symm] exact le_of_lt (exp_pos (1 / a)) gcongr
true
import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Algebra.Order.Group.WithTop import Mathlib.RingTheory.HahnSeries.Multiplication import Mathlib.RingTheory.Valuation.Basic #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical open Pointwise noncomputable section variable {Γ : Type*} {R : Type*} namespace HahnSeries section Valuation variable (Γ R) [LinearOrderedCancelAddCommMonoid Γ] [Ring R] [IsDomain R] def addVal : AddValuation (HahnSeries Γ R) (WithTop Γ) := AddValuation.of (fun x => if x = (0 : HahnSeries Γ R) then (⊤ : WithTop Γ) else x.order) (if_pos rfl) ((if_neg one_ne_zero).trans (by simp [order_of_ne])) (fun x y => by by_cases hx : x = 0 · by_cases hy : y = 0 <;> · simp [hx, hy] · by_cases hy : y = 0 · simp [hx, hy] · simp only [hx, hy, support_nonempty_iff, if_neg, not_false_iff, isWF_support] by_cases hxy : x + y = 0 · simp [hxy] rw [if_neg hxy, ← WithTop.coe_min, WithTop.coe_le_coe] exact min_order_le_order_add hxy) fun x y => by by_cases hx : x = 0 · simp [hx] by_cases hy : y = 0 · simp [hy] dsimp only rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithTop.coe_add, WithTop.coe_eq_coe, order_mul hx hy] #align hahn_series.add_val HahnSeries.addVal variable {Γ} {R} theorem addVal_apply {x : HahnSeries Γ R} : addVal Γ R x = if x = (0 : HahnSeries Γ R) then (⊤ : WithTop Γ) else x.order := AddValuation.of_apply _ #align hahn_series.add_val_apply HahnSeries.addVal_apply @[simp] theorem addVal_apply_of_ne {x : HahnSeries Γ R} (hx : x ≠ 0) : addVal Γ R x = x.order := if_neg hx #align hahn_series.add_val_apply_of_ne HahnSeries.addVal_apply_of_ne
Mathlib/RingTheory/HahnSeries/Summable.lean
89
92
theorem addVal_le_of_coeff_ne_zero {x : HahnSeries Γ R} {g : Γ} (h : x.coeff g ≠ 0) : addVal Γ R x ≤ g := by rw [addVal_apply_of_ne (ne_zero_of_coeff_ne_zero h), WithTop.coe_le_coe]
rw [addVal_apply_of_ne (ne_zero_of_coeff_ne_zero h), WithTop.coe_le_coe] exact order_le_of_coeff_ne_zero h
true
import Mathlib.Order.ConditionallyCompleteLattice.Basic import Mathlib.Order.RelIso.Basic #align_import order.ord_continuous from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" universe u v w x variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} open Function OrderDual Set def LeftOrdContinuous [Preorder α] [Preorder β] (f : α → β) := ∀ ⦃s : Set α⦄ ⦃x⦄, IsLUB s x → IsLUB (f '' s) (f x) #align left_ord_continuous LeftOrdContinuous def RightOrdContinuous [Preorder α] [Preorder β] (f : α → β) := ∀ ⦃s : Set α⦄ ⦃x⦄, IsGLB s x → IsGLB (f '' s) (f x) #align right_ord_continuous RightOrdContinuous namespace LeftOrdContinuous section SemilatticeSup variable [SemilatticeSup α] [SemilatticeSup β] {f : α → β} theorem map_sup (hf : LeftOrdContinuous f) (x y : α) : f (x ⊔ y) = f x ⊔ f y := (hf isLUB_pair).unique <| by simp only [image_pair, isLUB_pair] #align left_ord_continuous.map_sup LeftOrdContinuous.map_sup theorem le_iff (hf : LeftOrdContinuous f) (h : Injective f) {x y} : f x ≤ f y ↔ x ≤ y := by simp only [← sup_eq_right, ← hf.map_sup, h.eq_iff] #align left_ord_continuous.le_iff LeftOrdContinuous.le_iff
Mathlib/Order/OrdContinuous.lean
102
103
theorem lt_iff (hf : LeftOrdContinuous f) (h : Injective f) {x y} : f x < f y ↔ x < y := by
simp only [lt_iff_le_not_le, hf.le_iff h]
true
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Nat.Factorial.Cast #align_import data.nat.choose.cast from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496" open Nat variable (K : Type*) [DivisionRing K] [CharZero K] namespace Nat theorem cast_choose {a b : ℕ} (h : a ≤ b) : (b.choose a : K) = b ! / (a ! * (b - a)!) := by have : ∀ {n : ℕ}, (n ! : K) ≠ 0 := Nat.cast_ne_zero.2 (factorial_ne_zero _) rw [eq_div_iff_mul_eq (mul_ne_zero this this)] rw_mod_cast [← mul_assoc, choose_mul_factorial_mul_factorial h] #align nat.cast_choose Nat.cast_choose theorem cast_add_choose {a b : ℕ} : ((a + b).choose a : K) = (a + b)! / (a ! * b !) := by rw [cast_choose K (_root_.le_add_right le_rfl), add_tsub_cancel_left] #align nat.cast_add_choose Nat.cast_add_choose
Mathlib/Data/Nat/Choose/Cast.lean
35
38
theorem cast_choose_eq_ascPochhammer_div (a b : ℕ) : (a.choose b : K) = (ascPochhammer K b).eval ↑(a - (b - 1)) / b ! := by rw [eq_div_iff_mul_eq (cast_ne_zero.2 b.factorial_ne_zero : (b ! : K) ≠ 0), ← cast_mul,
rw [eq_div_iff_mul_eq (cast_ne_zero.2 b.factorial_ne_zero : (b ! : K) ≠ 0), ← cast_mul, mul_comm, ← descFactorial_eq_factorial_mul_choose, ← cast_descFactorial]
true
import Mathlib.Data.Set.Prod import Mathlib.Logic.Function.Conjugate #align_import data.set.function from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207" variable {α β γ : Type*} {ι : Sort*} {π : α → Type*} open Equiv Equiv.Perm Function namespace Set section equality variable {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {p : Set γ} {f f₁ f₂ f₃ : α → β} {g g₁ g₂ : β → γ} {f' f₁' f₂' : β → α} {g' : γ → β} {a : α} {b : β} @[simp] theorem eqOn_empty (f₁ f₂ : α → β) : EqOn f₁ f₂ ∅ := fun _ => False.elim #align set.eq_on_empty Set.eqOn_empty @[simp]
Mathlib/Data/Set/Function.lean
185
186
theorem eqOn_singleton : Set.EqOn f₁ f₂ {a} ↔ f₁ a = f₂ a := by
simp [Set.EqOn]
true
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Indicator import Mathlib.MeasureTheory.Function.UniformIntegrable import Mathlib.MeasureTheory.Decomposition.RadonNikodym #align_import measure_theory.function.conditional_expectation.real from "leanprover-community/mathlib"@"b2ff9a3d7a15fd5b0f060b135421d6a89a999c2f" noncomputable section open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap open scoped NNReal ENNReal Topology MeasureTheory namespace MeasureTheory variable {α : Type*} {m m0 : MeasurableSpace α} {μ : Measure α} theorem rnDeriv_ae_eq_condexp {hm : m ≤ m0} [hμm : SigmaFinite (μ.trim hm)] {f : α → ℝ} (hf : Integrable f μ) : SignedMeasure.rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm) =ᵐ[μ] μ[f|m] := by refine ae_eq_condexp_of_forall_setIntegral_eq hm hf ?_ ?_ ?_ · exact fun _ _ _ => (integrable_of_integrable_trim hm (SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm))).integrableOn · intro s hs _ conv_rhs => rw [← hf.withDensityᵥ_trim_eq_integral hm hs, ← SignedMeasure.withDensityᵥ_rnDeriv_eq ((μ.withDensityᵥ f).trim hm) (μ.trim hm) (hf.withDensityᵥ_trim_absolutelyContinuous hm)] rw [withDensityᵥ_apply (SignedMeasure.integrable_rnDeriv ((μ.withDensityᵥ f).trim hm) (μ.trim hm)) hs, ← setIntegral_trim hm _ hs] exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable · exact (SignedMeasure.measurable_rnDeriv _ _).stronglyMeasurable.aeStronglyMeasurable' #align measure_theory.rn_deriv_ae_eq_condexp MeasureTheory.rnDeriv_ae_eq_condexp -- TODO: the following couple of lemmas should be generalized and proved using Jensen's inequality -- for the conditional expectation (not in mathlib yet) .
Mathlib/MeasureTheory/Function/ConditionalExpectation/Real.lean
59
89
theorem snorm_one_condexp_le_snorm (f : α → ℝ) : snorm (μ[f|m]) 1 μ ≤ snorm f 1 μ := by by_cases hf : Integrable f μ
by_cases hf : Integrable f μ swap; · rw [condexp_undef hf, snorm_zero]; exact zero_le _ by_cases hm : m ≤ m0 swap; · rw [condexp_of_not_le hm, snorm_zero]; exact zero_le _ by_cases hsig : SigmaFinite (μ.trim hm) swap; · rw [condexp_of_not_sigmaFinite hm hsig, snorm_zero]; exact zero_le _ calc snorm (μ[f|m]) 1 μ ≤ snorm (μ[(|f|)|m]) 1 μ := by refine snorm_mono_ae ?_ filter_upwards [condexp_mono hf hf.abs (ae_of_all μ (fun x => le_abs_self (f x) : ∀ x, f x ≤ |f x|)), EventuallyLE.trans (condexp_neg f).symm.le (condexp_mono hf.neg hf.abs (ae_of_all μ (fun x => neg_le_abs (f x): ∀ x, -f x ≤ |f x|)))] with x hx₁ hx₂ exact abs_le_abs hx₁ hx₂ _ = snorm f 1 μ := by rw [snorm_one_eq_lintegral_nnnorm, snorm_one_eq_lintegral_nnnorm, ← ENNReal.toReal_eq_toReal (ne_of_lt integrable_condexp.2) (ne_of_lt hf.2), ← integral_norm_eq_lintegral_nnnorm (stronglyMeasurable_condexp.mono hm).aestronglyMeasurable, ← integral_norm_eq_lintegral_nnnorm hf.1] simp_rw [Real.norm_eq_abs] rw [← integral_condexp hm hf.abs] refine integral_congr_ae ?_ have : 0 ≤ᵐ[μ] μ[(|f|)|m] := by rw [← condexp_zero] exact condexp_mono (integrable_zero _ _ _) hf.abs (ae_of_all μ (fun x => abs_nonneg (f x) : ∀ x, 0 ≤ |f x|)) filter_upwards [this] with x hx exact abs_eq_self.2 hx
true
import Batteries.Data.List.Basic import Batteries.Data.List.Lemmas open Nat namespace List section countP variable (p q : α → Bool) @[simp] theorem countP_nil : countP p [] = 0 := rfl protected theorem countP_go_eq_add (l) : countP.go p l n = n + countP.go p l 0 := by induction l generalizing n with | nil => rfl | cons head tail ih => unfold countP.go rw [ih (n := n + 1), ih (n := n), ih (n := 1)] if h : p head then simp [h, Nat.add_assoc] else simp [h] @[simp] theorem countP_cons_of_pos (l) (pa : p a) : countP p (a :: l) = countP p l + 1 := by have : countP.go p (a :: l) 0 = countP.go p l 1 := show cond .. = _ by rw [pa]; rfl unfold countP rw [this, Nat.add_comm, List.countP_go_eq_add] @[simp] theorem countP_cons_of_neg (l) (pa : ¬p a) : countP p (a :: l) = countP p l := by simp [countP, countP.go, pa] theorem countP_cons (a : α) (l) : countP p (a :: l) = countP p l + if p a then 1 else 0 := by by_cases h : p a <;> simp [h] theorem length_eq_countP_add_countP (l) : length l = countP p l + countP (fun a => ¬p a) l := by induction l with | nil => rfl | cons x h ih => if h : p x then rw [countP_cons_of_pos _ _ h, countP_cons_of_neg _ _ _, length, ih] · rw [Nat.add_assoc, Nat.add_comm _ 1, Nat.add_assoc] · simp only [h, not_true_eq_false, decide_False, not_false_eq_true] else rw [countP_cons_of_pos (fun a => ¬p a) _ _, countP_cons_of_neg _ _ h, length, ih] · rfl · simp only [h, not_false_eq_true, decide_True] theorem countP_eq_length_filter (l) : countP p l = length (filter p l) := by induction l with | nil => rfl | cons x l ih => if h : p x then rw [countP_cons_of_pos p l h, ih, filter_cons_of_pos l h, length] else rw [countP_cons_of_neg p l h, ih, filter_cons_of_neg l h] theorem countP_le_length : countP p l ≤ l.length := by simp only [countP_eq_length_filter] apply length_filter_le @[simp] theorem countP_append (l₁ l₂) : countP p (l₁ ++ l₂) = countP p l₁ + countP p l₂ := by simp only [countP_eq_length_filter, filter_append, length_append] theorem countP_pos : 0 < countP p l ↔ ∃ a ∈ l, p a := by simp only [countP_eq_length_filter, length_pos_iff_exists_mem, mem_filter, exists_prop] theorem countP_eq_zero : countP p l = 0 ↔ ∀ a ∈ l, ¬p a := by simp only [countP_eq_length_filter, length_eq_zero, filter_eq_nil] theorem countP_eq_length : countP p l = l.length ↔ ∀ a ∈ l, p a := by rw [countP_eq_length_filter, filter_length_eq_length] theorem Sublist.countP_le (s : l₁ <+ l₂) : countP p l₁ ≤ countP p l₂ := by simp only [countP_eq_length_filter] apply s.filter _ |>.length_le
.lake/packages/batteries/Batteries/Data/List/Count.lean
88
90
theorem countP_filter (l : List α) : countP p (filter q l) = countP (fun a => p a ∧ q a) l := by
simp only [countP_eq_length_filter, filter_filter]
true
import Mathlib.RingTheory.Localization.LocalizationLocalization #align_import ring_theory.localization.as_subring from "leanprover-community/mathlib"@"649ca66bf4d62796b5eefef966e622d91aa471f3" namespace Localization open nonZeroDivisors variable {A : Type*} (K : Type*) [CommRing A] (S : Submonoid A) (hS : S ≤ A⁰) section CommRing variable [CommRing K] [Algebra A K] [IsFractionRing A K]
Mathlib/RingTheory/Localization/AsSubring.lean
31
32
theorem map_isUnit_of_le (hS : S ≤ A⁰) (s : S) : IsUnit (algebraMap A K s) := by
apply IsLocalization.map_units K (⟨s.1, hS s.2⟩ : A⁰)
true
import Mathlib.Algebra.Group.ConjFinite import Mathlib.GroupTheory.Perm.Fin import Mathlib.GroupTheory.Subgroup.Simple import Mathlib.Tactic.IntervalCases #align_import group_theory.specific_groups.alternating from "leanprover-community/mathlib"@"0f6670b8af2dff699de1c0b4b49039b31bc13c46" -- An example on how to determine the order of an element of a finite group. example : orderOf (-1 : ℤˣ) = 2 := orderOf_eq_prime (Int.units_sq _) (by decide) open Equiv Equiv.Perm Subgroup Fintype variable (α : Type*) [Fintype α] [DecidableEq α] def alternatingGroup : Subgroup (Perm α) := sign.ker #align alternating_group alternatingGroup -- Porting note (#10754): manually added instance instance fta : Fintype (alternatingGroup α) := @Subtype.fintype _ _ sign.decidableMemKer _ instance [Subsingleton α] : Unique (alternatingGroup α) := ⟨⟨1⟩, fun ⟨p, _⟩ => Subtype.eq (Subsingleton.elim p _)⟩ variable {α} theorem alternatingGroup_eq_sign_ker : alternatingGroup α = sign.ker := rfl #align alternating_group_eq_sign_ker alternatingGroup_eq_sign_ker namespace Equiv.Perm @[simp] theorem mem_alternatingGroup {f : Perm α} : f ∈ alternatingGroup α ↔ sign f = 1 := sign.mem_ker #align equiv.perm.mem_alternating_group Equiv.Perm.mem_alternatingGroup theorem prod_list_swap_mem_alternatingGroup_iff_even_length {l : List (Perm α)} (hl : ∀ g ∈ l, IsSwap g) : l.prod ∈ alternatingGroup α ↔ Even l.length := by rw [mem_alternatingGroup, sign_prod_list_swap hl, neg_one_pow_eq_one_iff_even] decide #align equiv.perm.prod_list_swap_mem_alternating_group_iff_even_length Equiv.Perm.prod_list_swap_mem_alternatingGroup_iff_even_length theorem IsThreeCycle.mem_alternatingGroup {f : Perm α} (h : IsThreeCycle f) : f ∈ alternatingGroup α := mem_alternatingGroup.mpr h.sign #align equiv.perm.is_three_cycle.mem_alternating_group Equiv.Perm.IsThreeCycle.mem_alternatingGroup set_option linter.deprecated false in
Mathlib/GroupTheory/SpecificGroups/Alternating.lean
89
91
theorem finRotate_bit1_mem_alternatingGroup {n : ℕ} : finRotate (bit1 n) ∈ alternatingGroup (Fin (bit1 n)) := by
rw [mem_alternatingGroup, bit1, sign_finRotate, pow_bit0', Int.units_mul_self, one_pow]
true
import Mathlib.Algebra.BigOperators.Group.Multiset import Mathlib.Data.Multiset.Dedup #align_import data.multiset.bind from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" assert_not_exists MonoidWithZero assert_not_exists MulAction universe v variable {α : Type*} {β : Type v} {γ δ : Type*} namespace Multiset def join : Multiset (Multiset α) → Multiset α := sum #align multiset.join Multiset.join theorem coe_join : ∀ L : List (List α), join (L.map ((↑) : List α → Multiset α) : Multiset (Multiset α)) = L.join | [] => rfl | l :: L => by exact congr_arg (fun s : Multiset α => ↑l + s) (coe_join L) #align multiset.coe_join Multiset.coe_join @[simp] theorem join_zero : @join α 0 = 0 := rfl #align multiset.join_zero Multiset.join_zero @[simp] theorem join_cons (s S) : @join α (s ::ₘ S) = s + join S := sum_cons _ _ #align multiset.join_cons Multiset.join_cons @[simp] theorem join_add (S T) : @join α (S + T) = join S + join T := sum_add _ _ #align multiset.join_add Multiset.join_add @[simp] theorem singleton_join (a) : join ({a} : Multiset (Multiset α)) = a := sum_singleton _ #align multiset.singleton_join Multiset.singleton_join @[simp] theorem mem_join {a S} : a ∈ @join α S ↔ ∃ s ∈ S, a ∈ s := Multiset.induction_on S (by simp) <| by simp (config := { contextual := true }) [or_and_right, exists_or] #align multiset.mem_join Multiset.mem_join @[simp] theorem card_join (S) : card (@join α S) = sum (map card S) := Multiset.induction_on S (by simp) (by simp) #align multiset.card_join Multiset.card_join @[simp] theorem map_join (f : α → β) (S : Multiset (Multiset α)) : map f (join S) = join (map (map f) S) := by induction S using Multiset.induction with | empty => simp | cons _ _ ih => simp [ih] @[to_additive (attr := simp)] theorem prod_join [CommMonoid α] {S : Multiset (Multiset α)} : prod (join S) = prod (map prod S) := by induction S using Multiset.induction with | empty => simp | cons _ _ ih => simp [ih] theorem rel_join {r : α → β → Prop} {s t} (h : Rel (Rel r) s t) : Rel r s.join t.join := by induction h with | zero => simp | cons hab hst ih => simpa using hab.add ih #align multiset.rel_join Multiset.rel_join section Bind variable (a : α) (s t : Multiset α) (f g : α → Multiset β) def bind (s : Multiset α) (f : α → Multiset β) : Multiset β := (s.map f).join #align multiset.bind Multiset.bind @[simp] theorem coe_bind (l : List α) (f : α → List β) : (@bind α β l fun a => f a) = l.bind f := by rw [List.bind, ← coe_join, List.map_map] rfl #align multiset.coe_bind Multiset.coe_bind @[simp] theorem zero_bind : bind 0 f = 0 := rfl #align multiset.zero_bind Multiset.zero_bind @[simp] theorem cons_bind : (a ::ₘ s).bind f = f a + s.bind f := by simp [bind] #align multiset.cons_bind Multiset.cons_bind @[simp] theorem singleton_bind : bind {a} f = f a := by simp [bind] #align multiset.singleton_bind Multiset.singleton_bind @[simp] theorem add_bind : (s + t).bind f = s.bind f + t.bind f := by simp [bind] #align multiset.add_bind Multiset.add_bind @[simp] theorem bind_zero : s.bind (fun _ => 0 : α → Multiset β) = 0 := by simp [bind, join, nsmul_zero] #align multiset.bind_zero Multiset.bind_zero @[simp] theorem bind_add : (s.bind fun a => f a + g a) = s.bind f + s.bind g := by simp [bind, join] #align multiset.bind_add Multiset.bind_add @[simp] theorem bind_cons (f : α → β) (g : α → Multiset β) : (s.bind fun a => f a ::ₘ g a) = map f s + s.bind g := Multiset.induction_on s (by simp) (by simp (config := { contextual := true }) [add_comm, add_left_comm, add_assoc]) #align multiset.bind_cons Multiset.bind_cons @[simp] theorem bind_singleton (f : α → β) : (s.bind fun x => ({f x} : Multiset β)) = map f s := Multiset.induction_on s (by rw [zero_bind, map_zero]) (by simp [singleton_add]) #align multiset.bind_singleton Multiset.bind_singleton @[simp] theorem mem_bind {b s} {f : α → Multiset β} : b ∈ bind s f ↔ ∃ a ∈ s, b ∈ f a := by simp [bind] #align multiset.mem_bind Multiset.mem_bind @[simp] theorem card_bind : card (s.bind f) = (s.map (card ∘ f)).sum := by simp [bind] #align multiset.card_bind Multiset.card_bind
Mathlib/Data/Multiset/Bind.lean
166
167
theorem bind_congr {f g : α → Multiset β} {m : Multiset α} : (∀ a ∈ m, f a = g a) → bind m f = bind m g := by
simp (config := { contextual := true }) [bind]
true
import Mathlib.Algebra.Polynomial.Roots import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Asymptotics.SpecificAsymptotics #align_import analysis.special_functions.polynomials from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Finset Asymptotics open Asymptotics Polynomial Topology namespace Polynomial variable {𝕜 : Type*} [NormedLinearOrderedField 𝕜] (P Q : 𝕜[X]) theorem eventually_no_roots (hP : P ≠ 0) : ∀ᶠ x in atTop, ¬P.IsRoot x := atTop_le_cofinite <| (finite_setOf_isRoot hP).compl_mem_cofinite #align polynomial.eventually_no_roots Polynomial.eventually_no_roots variable [OrderTopology 𝕜] section PolynomialAtTop
Mathlib/Analysis/SpecialFunctions/Polynomials.lean
42
54
theorem isEquivalent_atTop_lead : (fun x => eval x P) ~[atTop] fun x => P.leadingCoeff * x ^ P.natDegree := by by_cases h : P = 0
by_cases h : P = 0 · simp [h, IsEquivalent.refl] · simp only [Polynomial.eval_eq_sum_range, sum_range_succ] exact IsLittleO.add_isEquivalent (IsLittleO.sum fun i hi => IsLittleO.const_mul_left ((IsLittleO.const_mul_right fun hz => h <| leadingCoeff_eq_zero.mp hz) <| isLittleO_pow_pow_atTop_of_lt (mem_range.mp hi)) _) IsEquivalent.refl
true
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff import Mathlib.LinearAlgebra.Matrix.ToLin #align_import linear_algebra.matrix.charpoly.linear_map from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c" variable {ι : Type*} [Fintype ι] variable {M : Type*} [AddCommGroup M] (R : Type*) [CommRing R] [Module R M] (I : Ideal R) variable (b : ι → M) (hb : Submodule.span R (Set.range b) = ⊤) open Polynomial Matrix def PiToModule.fromMatrix [DecidableEq ι] : Matrix ι ι R →ₗ[R] (ι → R) →ₗ[R] M := (LinearMap.llcomp R _ _ _ (Fintype.total R R b)).comp algEquivMatrix'.symm.toLinearMap #align pi_to_module.from_matrix PiToModule.fromMatrix theorem PiToModule.fromMatrix_apply [DecidableEq ι] (A : Matrix ι ι R) (w : ι → R) : PiToModule.fromMatrix R b A w = Fintype.total R R b (A *ᵥ w) := rfl #align pi_to_module.from_matrix_apply PiToModule.fromMatrix_apply theorem PiToModule.fromMatrix_apply_single_one [DecidableEq ι] (A : Matrix ι ι R) (j : ι) : PiToModule.fromMatrix R b A (Pi.single j 1) = ∑ i : ι, A i j • b i := by rw [PiToModule.fromMatrix_apply, Fintype.total_apply, Matrix.mulVec_single] simp_rw [mul_one] #align pi_to_module.from_matrix_apply_single_one PiToModule.fromMatrix_apply_single_one def PiToModule.fromEnd : Module.End R M →ₗ[R] (ι → R) →ₗ[R] M := LinearMap.lcomp _ _ (Fintype.total R R b) #align pi_to_module.from_End PiToModule.fromEnd theorem PiToModule.fromEnd_apply (f : Module.End R M) (w : ι → R) : PiToModule.fromEnd R b f w = f (Fintype.total R R b w) := rfl #align pi_to_module.from_End_apply PiToModule.fromEnd_apply theorem PiToModule.fromEnd_apply_single_one [DecidableEq ι] (f : Module.End R M) (i : ι) : PiToModule.fromEnd R b f (Pi.single i 1) = f (b i) := by rw [PiToModule.fromEnd_apply] congr convert Fintype.total_apply_single (S := R) R b i (1 : R) rw [one_smul] #align pi_to_module.from_End_apply_single_one PiToModule.fromEnd_apply_single_one theorem PiToModule.fromEnd_injective (hb : Submodule.span R (Set.range b) = ⊤) : Function.Injective (PiToModule.fromEnd R b) := by intro x y e ext m obtain ⟨m, rfl⟩ : m ∈ LinearMap.range (Fintype.total R R b) := by rw [(Fintype.range_total R b).trans hb] exact Submodule.mem_top exact (LinearMap.congr_fun e m : _) #align pi_to_module.from_End_injective PiToModule.fromEnd_injective section variable {R} [DecidableEq ι] def Matrix.Represents (A : Matrix ι ι R) (f : Module.End R M) : Prop := PiToModule.fromMatrix R b A = PiToModule.fromEnd R b f #align matrix.represents Matrix.Represents variable {b} theorem Matrix.Represents.congr_fun {A : Matrix ι ι R} {f : Module.End R M} (h : A.Represents b f) (x) : Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) := LinearMap.congr_fun h x #align matrix.represents.congr_fun Matrix.Represents.congr_fun theorem Matrix.represents_iff {A : Matrix ι ι R} {f : Module.End R M} : A.Represents b f ↔ ∀ x, Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) := ⟨fun e x => e.congr_fun x, fun H => LinearMap.ext fun x => H x⟩ #align matrix.represents_iff Matrix.represents_iff
Mathlib/LinearAlgebra/Matrix/Charpoly/LinearMap.lean
100
111
theorem Matrix.represents_iff' {A : Matrix ι ι R} {f : Module.End R M} : A.Represents b f ↔ ∀ j, ∑ i : ι, A i j • b i = f (b j) := by constructor
constructor · intro h i have := LinearMap.congr_fun h (Pi.single i 1) rwa [PiToModule.fromEnd_apply_single_one, PiToModule.fromMatrix_apply_single_one] at this · intro h -- Porting note: was `ext` refine LinearMap.pi_ext' (fun i => LinearMap.ext_ring ?_) simp_rw [LinearMap.comp_apply, LinearMap.coe_single, PiToModule.fromEnd_apply_single_one, PiToModule.fromMatrix_apply_single_one] apply h
true
import Mathlib.Algebra.GCDMonoid.Basic import Mathlib.Data.Multiset.FinsetOps import Mathlib.Data.Multiset.Fold #align_import algebra.gcd_monoid.multiset from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" namespace Multiset variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α] section gcd def gcd (s : Multiset α) : α := s.fold GCDMonoid.gcd 0 #align multiset.gcd Multiset.gcd @[simp] theorem gcd_zero : (0 : Multiset α).gcd = 0 := fold_zero _ _ #align multiset.gcd_zero Multiset.gcd_zero @[simp] theorem gcd_cons (a : α) (s : Multiset α) : (a ::ₘ s).gcd = GCDMonoid.gcd a s.gcd := fold_cons_left _ _ _ _ #align multiset.gcd_cons Multiset.gcd_cons @[simp] theorem gcd_singleton {a : α} : ({a} : Multiset α).gcd = normalize a := (fold_singleton _ _ _).trans <| gcd_zero_right _ #align multiset.gcd_singleton Multiset.gcd_singleton @[simp] theorem gcd_add (s₁ s₂ : Multiset α) : (s₁ + s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := Eq.trans (by simp [gcd]) (fold_add _ _ _ _ _) #align multiset.gcd_add Multiset.gcd_add theorem dvd_gcd {s : Multiset α} {a : α} : a ∣ s.gcd ↔ ∀ b ∈ s, a ∣ b := Multiset.induction_on s (by simp) (by simp (config := { contextual := true }) [or_imp, forall_and, dvd_gcd_iff]) #align multiset.dvd_gcd Multiset.dvd_gcd theorem gcd_dvd {s : Multiset α} {a : α} (h : a ∈ s) : s.gcd ∣ a := dvd_gcd.1 dvd_rfl _ h #align multiset.gcd_dvd Multiset.gcd_dvd theorem gcd_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₂.gcd ∣ s₁.gcd := dvd_gcd.2 fun _ hb ↦ gcd_dvd (h hb) #align multiset.gcd_mono Multiset.gcd_mono @[simp 1100] theorem normalize_gcd (s : Multiset α) : normalize s.gcd = s.gcd := Multiset.induction_on s (by simp) fun a s _ ↦ by simp #align multiset.normalize_gcd Multiset.normalize_gcd theorem gcd_eq_zero_iff (s : Multiset α) : s.gcd = 0 ↔ ∀ x : α, x ∈ s → x = 0 := by constructor · intro h x hx apply eq_zero_of_zero_dvd rw [← h] apply gcd_dvd hx · refine s.induction_on ?_ ?_ · simp intro a s sgcd h simp [h a (mem_cons_self a s), sgcd fun x hx ↦ h x (mem_cons_of_mem hx)] #align multiset.gcd_eq_zero_iff Multiset.gcd_eq_zero_iff theorem gcd_map_mul (a : α) (s : Multiset α) : (s.map (a * ·)).gcd = normalize a * s.gcd := by refine s.induction_on ?_ fun b s ih ↦ ?_ · simp_rw [map_zero, gcd_zero, mul_zero] · simp_rw [map_cons, gcd_cons, ← gcd_mul_left] rw [ih] apply ((normalize_associated a).mul_right _).gcd_eq_right #align multiset.gcd_map_mul Multiset.gcd_map_mul section variable [DecidableEq α] @[simp] theorem gcd_dedup (s : Multiset α) : (dedup s).gcd = s.gcd := Multiset.induction_on s (by simp) fun a s IH ↦ by by_cases h : a ∈ s <;> simp [IH, h] unfold gcd rw [← cons_erase h, fold_cons_left, ← gcd_assoc, gcd_same] apply (associated_normalize _).gcd_eq_left #align multiset.gcd_dedup Multiset.gcd_dedup @[simp] theorem gcd_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add] simp #align multiset.gcd_ndunion Multiset.gcd_ndunion @[simp]
Mathlib/Algebra/GCDMonoid/Multiset.lean
213
215
theorem gcd_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add] simp
true
import Mathlib.Algebra.Algebra.Hom import Mathlib.RingTheory.Ideal.Quotient #align_import algebra.ring_quot from "leanprover-community/mathlib"@"e5820f6c8fcf1b75bcd7738ae4da1c5896191f72" universe uR uS uT uA u₄ variable {R : Type uR} [Semiring R] variable {S : Type uS} [CommSemiring S] variable {T : Type uT} variable {A : Type uA} [Semiring A] [Algebra S A] namespace RingQuot inductive Rel (r : R → R → Prop) : R → R → Prop | of ⦃x y : R⦄ (h : r x y) : Rel r x y | add_left ⦃a b c⦄ : Rel r a b → Rel r (a + c) (b + c) | mul_left ⦃a b c⦄ : Rel r a b → Rel r (a * c) (b * c) | mul_right ⦃a b c⦄ : Rel r b c → Rel r (a * b) (a * c) #align ring_quot.rel RingQuot.Rel theorem Rel.add_right {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r b c) : Rel r (a + b) (a + c) := by rw [add_comm a b, add_comm a c] exact Rel.add_left h #align ring_quot.rel.add_right RingQuot.Rel.add_right theorem Rel.neg {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b : R⦄ (h : Rel r a b) : Rel r (-a) (-b) := by simp only [neg_eq_neg_one_mul a, neg_eq_neg_one_mul b, Rel.mul_right h] #align ring_quot.rel.neg RingQuot.Rel.neg theorem Rel.sub_left {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r a b) : Rel r (a - c) (b - c) := by simp only [sub_eq_add_neg, h.add_left] #align ring_quot.rel.sub_left RingQuot.Rel.sub_left
Mathlib/Algebra/RingQuot.lean
75
76
theorem Rel.sub_right {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r b c) : Rel r (a - b) (a - c) := by
simp only [sub_eq_add_neg, h.neg.add_right]
true
import Mathlib.SetTheory.Ordinal.Arithmetic import Mathlib.SetTheory.Ordinal.Exponential #align_import set_theory.ordinal.fixed_point from "leanprover-community/mathlib"@"0dd4319a17376eda5763cd0a7e0d35bbaaa50e83" noncomputable section universe u v open Function Order namespace Ordinal section variable {ι : Type u} {f : ι → Ordinal.{max u v} → Ordinal.{max u v}} def nfpFamily (f : ι → Ordinal → Ordinal) (a : Ordinal) : Ordinal := sup (List.foldr f a) #align ordinal.nfp_family Ordinal.nfpFamily theorem nfpFamily_eq_sup (f : ι → Ordinal.{max u v} → Ordinal.{max u v}) (a : Ordinal.{max u v}) : nfpFamily.{u, v} f a = sup.{u, v} (List.foldr f a) := rfl #align ordinal.nfp_family_eq_sup Ordinal.nfpFamily_eq_sup theorem foldr_le_nfpFamily (f : ι → Ordinal → Ordinal) (a l) : List.foldr f a l ≤ nfpFamily.{u, v} f a := le_sup.{u, v} _ _ #align ordinal.foldr_le_nfp_family Ordinal.foldr_le_nfpFamily theorem le_nfpFamily (f : ι → Ordinal → Ordinal) (a) : a ≤ nfpFamily f a := le_sup _ [] #align ordinal.le_nfp_family Ordinal.le_nfpFamily theorem lt_nfpFamily {a b} : a < nfpFamily.{u, v} f b ↔ ∃ l, a < List.foldr f b l := lt_sup.{u, v} #align ordinal.lt_nfp_family Ordinal.lt_nfpFamily theorem nfpFamily_le_iff {a b} : nfpFamily.{u, v} f a ≤ b ↔ ∀ l, List.foldr f a l ≤ b := sup_le_iff #align ordinal.nfp_family_le_iff Ordinal.nfpFamily_le_iff theorem nfpFamily_le {a b} : (∀ l, List.foldr f a l ≤ b) → nfpFamily.{u, v} f a ≤ b := sup_le.{u, v} #align ordinal.nfp_family_le Ordinal.nfpFamily_le theorem nfpFamily_monotone (hf : ∀ i, Monotone (f i)) : Monotone (nfpFamily.{u, v} f) := fun _ _ h => sup_le.{u, v} fun l => (List.foldr_monotone hf l h).trans (le_sup.{u, v} _ l) #align ordinal.nfp_family_monotone Ordinal.nfpFamily_monotone theorem apply_lt_nfpFamily (H : ∀ i, IsNormal (f i)) {a b} (hb : b < nfpFamily.{u, v} f a) (i) : f i b < nfpFamily.{u, v} f a := let ⟨l, hl⟩ := lt_nfpFamily.1 hb lt_sup.2 ⟨i::l, (H i).strictMono hl⟩ #align ordinal.apply_lt_nfp_family Ordinal.apply_lt_nfpFamily theorem apply_lt_nfpFamily_iff [Nonempty ι] (H : ∀ i, IsNormal (f i)) {a b} : (∀ i, f i b < nfpFamily.{u, v} f a) ↔ b < nfpFamily.{u, v} f a := ⟨fun h => lt_nfpFamily.2 <| let ⟨l, hl⟩ := lt_sup.1 <| h <| Classical.arbitrary ι ⟨l, ((H _).self_le b).trans_lt hl⟩, apply_lt_nfpFamily H⟩ #align ordinal.apply_lt_nfp_family_iff Ordinal.apply_lt_nfpFamily_iff theorem nfpFamily_le_apply [Nonempty ι] (H : ∀ i, IsNormal (f i)) {a b} : (∃ i, nfpFamily.{u, v} f a ≤ f i b) ↔ nfpFamily.{u, v} f a ≤ b := by rw [← not_iff_not] push_neg exact apply_lt_nfpFamily_iff H #align ordinal.nfp_family_le_apply Ordinal.nfpFamily_le_apply theorem nfpFamily_le_fp (H : ∀ i, Monotone (f i)) {a b} (ab : a ≤ b) (h : ∀ i, f i b ≤ b) : nfpFamily.{u, v} f a ≤ b := sup_le fun l => by by_cases hι : IsEmpty ι · rwa [Unique.eq_default l] · induction' l with i l IH generalizing a · exact ab exact (H i (IH ab)).trans (h i) #align ordinal.nfp_family_le_fp Ordinal.nfpFamily_le_fp theorem nfpFamily_fp {i} (H : IsNormal (f i)) (a) : f i (nfpFamily.{u, v} f a) = nfpFamily.{u, v} f a := by unfold nfpFamily rw [@IsNormal.sup.{u, v, v} _ H _ _ ⟨[]⟩] apply le_antisymm <;> refine Ordinal.sup_le fun l => ?_ · exact le_sup _ (i::l) · exact (H.self_le _).trans (le_sup _ _) #align ordinal.nfp_family_fp Ordinal.nfpFamily_fp
Mathlib/SetTheory/Ordinal/FixedPoint.lean
128
134
theorem apply_le_nfpFamily [hι : Nonempty ι] {f : ι → Ordinal → Ordinal} (H : ∀ i, IsNormal (f i)) {a b} : (∀ i, f i b ≤ nfpFamily.{u, v} f a) ↔ b ≤ nfpFamily.{u, v} f a := by refine ⟨fun h => ?_, fun h i => ?_⟩
refine ⟨fun h => ?_, fun h i => ?_⟩ · cases' hι with i exact ((H i).self_le b).trans (h i) rw [← nfpFamily_fp (H i)] exact (H i).monotone h
true
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 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 #align pi_nat.min_first_diff_le PiNat.min_firstDiff_le def cylinder (x : ∀ n, E n) (n : ℕ) : Set (∀ n, E n) := { y | ∀ i, i < n → y i = x i } #align pi_nat.cylinder PiNat.cylinder theorem cylinder_eq_pi (x : ∀ n, E n) (n : ℕ) : cylinder x n = Set.pi (Finset.range n : Set ℕ) fun i : ℕ => {x i} := by ext y simp [cylinder] #align pi_nat.cylinder_eq_pi PiNat.cylinder_eq_pi @[simp] theorem cylinder_zero (x : ∀ n, E n) : cylinder x 0 = univ := by simp [cylinder_eq_pi] #align pi_nat.cylinder_zero PiNat.cylinder_zero theorem cylinder_anti (x : ∀ n, E n) {m n : ℕ} (h : m ≤ n) : cylinder x n ⊆ cylinder x m := fun _y hy i hi => hy i (hi.trans_le h) #align pi_nat.cylinder_anti PiNat.cylinder_anti @[simp] theorem mem_cylinder_iff {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ ∀ i < n, y i = x i := Iff.rfl #align pi_nat.mem_cylinder_iff PiNat.mem_cylinder_iff theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by simp #align pi_nat.self_mem_cylinder PiNat.self_mem_cylinder theorem mem_cylinder_iff_eq {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ cylinder y n = cylinder x n := by constructor · intro hy apply Subset.antisymm · intro z hz i hi rw [← hy i hi] exact hz i hi · intro z hz i hi rw [hy i hi] exact hz i hi · intro h rw [← h] exact self_mem_cylinder _ _ #align pi_nat.mem_cylinder_iff_eq PiNat.mem_cylinder_iff_eq
Mathlib/Topology/MetricSpace/PiNat.lean
150
151
theorem mem_cylinder_comm (x y : ∀ n, E n) (n : ℕ) : y ∈ cylinder x n ↔ x ∈ cylinder y n := by
simp [mem_cylinder_iff_eq, eq_comm]
true
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Fin.VecNotation import Mathlib.Logic.Equiv.Fin #align_import data.fin.tuple.nat_antidiagonal from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90" namespace List.Nat def antidiagonalTuple : ∀ k, ℕ → List (Fin k → ℕ) | 0, 0 => [![]] | 0, _ + 1 => [] | k + 1, n => (List.Nat.antidiagonal n).bind fun ni => (antidiagonalTuple k ni.2).map fun x => Fin.cons ni.1 x #align list.nat.antidiagonal_tuple List.Nat.antidiagonalTuple @[simp] theorem antidiagonalTuple_zero_zero : antidiagonalTuple 0 0 = [![]] := rfl #align list.nat.antidiagonal_tuple_zero_zero List.Nat.antidiagonalTuple_zero_zero @[simp] theorem antidiagonalTuple_zero_succ (n : ℕ) : antidiagonalTuple 0 (n + 1) = [] := rfl #align list.nat.antidiagonal_tuple_zero_succ List.Nat.antidiagonalTuple_zero_succ theorem mem_antidiagonalTuple {n : ℕ} {k : ℕ} {x : Fin k → ℕ} : x ∈ antidiagonalTuple k n ↔ ∑ i, x i = n := by induction x using Fin.consInduction generalizing n with | h0 => cases n · decide · simp [eq_comm] | h x₀ x ih => simp_rw [Fin.sum_cons] rw [antidiagonalTuple] -- Porting note: simp_rw doesn't use the equation lemma properly simp_rw [List.mem_bind, List.mem_map, List.Nat.mem_antidiagonal, Fin.cons_eq_cons, exists_eq_right_right, ih, @eq_comm _ _ (Prod.snd _), and_comm (a := Prod.snd _ = _), ← Prod.mk.inj_iff (a₁ := Prod.fst _), exists_eq_right] #align list.nat.mem_antidiagonal_tuple List.Nat.mem_antidiagonalTuple theorem nodup_antidiagonalTuple (k n : ℕ) : List.Nodup (antidiagonalTuple k n) := by induction' k with k ih generalizing n · cases n · simp · simp [eq_comm] simp_rw [antidiagonalTuple, List.nodup_bind] constructor · intro i _ exact (ih i.snd).map (Fin.cons_right_injective (α := fun _ => ℕ) i.fst) induction' n with n n_ih · exact List.pairwise_singleton _ _ · rw [List.Nat.antidiagonal_succ] refine List.Pairwise.cons (fun a ha x hx₁ hx₂ => ?_) (n_ih.map _ fun a b h x hx₁ hx₂ => ?_) · rw [List.mem_map] at hx₁ hx₂ ha obtain ⟨⟨a, -, rfl⟩, ⟨x₁, -, rfl⟩, ⟨x₂, -, h⟩⟩ := ha, hx₁, hx₂ rw [Fin.cons_eq_cons] at h injection h.1 · rw [List.mem_map] at hx₁ hx₂ obtain ⟨⟨x₁, hx₁, rfl⟩, ⟨x₂, hx₂, h₁₂⟩⟩ := hx₁, hx₂ dsimp at h₁₂ rw [Fin.cons_eq_cons, Nat.succ_inj'] at h₁₂ obtain ⟨h₁₂, rfl⟩ := h₁₂ rw [h₁₂] at h exact h (List.mem_map_of_mem _ hx₁) (List.mem_map_of_mem _ hx₂) #align list.nat.nodup_antidiagonal_tuple List.Nat.nodup_antidiagonalTuple theorem antidiagonalTuple_zero_right : ∀ k, antidiagonalTuple k 0 = [0] | 0 => (congr_arg fun x => [x]) <| Subsingleton.elim _ _ | k + 1 => by rw [antidiagonalTuple, antidiagonal_zero, List.bind_singleton, antidiagonalTuple_zero_right k, List.map_singleton] exact congr_arg (fun x => [x]) Matrix.cons_zero_zero #align list.nat.antidiagonal_tuple_zero_right List.Nat.antidiagonalTuple_zero_right @[simp]
Mathlib/Data/Fin/Tuple/NatAntidiagonal.lean
131
139
theorem antidiagonalTuple_one (n : ℕ) : antidiagonalTuple 1 n = [![n]] := by simp_rw [antidiagonalTuple, antidiagonal, List.range_succ, List.map_append, List.map_singleton,
simp_rw [antidiagonalTuple, antidiagonal, List.range_succ, List.map_append, List.map_singleton, tsub_self, List.append_bind, List.bind_singleton, List.map_bind] conv_rhs => rw [← List.nil_append [![n]]] congr 1 simp_rw [List.bind_eq_nil, List.mem_range, List.map_eq_nil] intro x hx obtain ⟨m, rfl⟩ := Nat.exists_eq_add_of_lt hx rw [add_assoc, add_tsub_cancel_left, antidiagonalTuple_zero_succ]
true
import Mathlib.Data.Finset.Sort import Mathlib.Data.List.FinRange import Mathlib.Data.Prod.Lex import Mathlib.GroupTheory.Perm.Basic import Mathlib.Order.Interval.Finset.Fin #align_import data.fin.tuple.sort from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" namespace Tuple variable {n : ℕ} variable {α : Type*} [LinearOrder α] def graph (f : Fin n → α) : Finset (α ×ₗ Fin n) := Finset.univ.image fun i => (f i, i) #align tuple.graph Tuple.graph def graph.proj {f : Fin n → α} : graph f → α := fun p => p.1.1 #align tuple.graph.proj Tuple.graph.proj @[simp] theorem graph.card (f : Fin n → α) : (graph f).card = n := by rw [graph, Finset.card_image_of_injective] · exact Finset.card_fin _ · intro _ _ -- porting note (#10745): was `simp` dsimp only rw [Prod.ext_iff] simp #align tuple.graph.card Tuple.graph.card def graphEquiv₁ (f : Fin n → α) : Fin n ≃ graph f where toFun i := ⟨(f i, i), by simp [graph]⟩ invFun p := p.1.2 left_inv i := by simp right_inv := fun ⟨⟨x, i⟩, h⟩ => by -- Porting note: was `simpa [graph] using h` simp only [graph, Finset.mem_image, Finset.mem_univ, true_and] at h obtain ⟨i', hi'⟩ := h obtain ⟨-, rfl⟩ := Prod.mk.inj_iff.mp hi' simpa #align tuple.graph_equiv₁ Tuple.graphEquiv₁ @[simp] theorem proj_equiv₁' (f : Fin n → α) : graph.proj ∘ graphEquiv₁ f = f := rfl #align tuple.proj_equiv₁' Tuple.proj_equiv₁' def graphEquiv₂ (f : Fin n → α) : Fin n ≃o graph f := Finset.orderIsoOfFin _ (by simp) #align tuple.graph_equiv₂ Tuple.graphEquiv₂ def sort (f : Fin n → α) : Equiv.Perm (Fin n) := (graphEquiv₂ f).toEquiv.trans (graphEquiv₁ f).symm #align tuple.sort Tuple.sort theorem graphEquiv₂_apply (f : Fin n → α) (i : Fin n) : graphEquiv₂ f i = graphEquiv₁ f (sort f i) := ((graphEquiv₁ f).apply_symm_apply _).symm #align tuple.graph_equiv₂_apply Tuple.graphEquiv₂_apply theorem self_comp_sort (f : Fin n → α) : f ∘ sort f = graph.proj ∘ graphEquiv₂ f := show graph.proj ∘ (graphEquiv₁ f ∘ (graphEquiv₁ f).symm) ∘ (graphEquiv₂ f).toEquiv = _ by simp #align tuple.self_comp_sort Tuple.self_comp_sort theorem monotone_proj (f : Fin n → α) : Monotone (graph.proj : graph f → α) := by rintro ⟨⟨x, i⟩, hx⟩ ⟨⟨y, j⟩, hy⟩ (_ | h) · exact le_of_lt ‹_› · simp [graph.proj] #align tuple.monotone_proj Tuple.monotone_proj
Mathlib/Data/Fin/Tuple/Sort.lean
105
107
theorem monotone_sort (f : Fin n → α) : Monotone (f ∘ sort f) := by rw [self_comp_sort]
rw [self_comp_sort] exact (monotone_proj f).comp (graphEquiv₂ f).monotone
true
import Mathlib.Data.Complex.Exponential import Mathlib.Analysis.SpecialFunctions.Log.Deriv #align_import data.complex.exponential_bounds from "leanprover-community/mathlib"@"402f8982dddc1864bd703da2d6e2ee304a866973" namespace Real open IsAbsoluteValue Finset CauSeq Complex theorem exp_one_near_10 : |exp 1 - 2244083 / 825552| ≤ 1 / 10 ^ 10 := by apply exp_approx_start iterate 13 refine exp_1_approx_succ_eq (by norm_num1; rfl) (by norm_cast) ?_ norm_num1 refine exp_approx_end' _ (by norm_num1; rfl) _ (by norm_cast) (by simp) ?_ rw [_root_.abs_one, abs_of_pos] <;> norm_num1 #align real.exp_one_near_10 Real.exp_one_near_10 theorem exp_one_near_20 : |exp 1 - 363916618873 / 133877442384| ≤ 1 / 10 ^ 20 := by apply exp_approx_start iterate 21 refine exp_1_approx_succ_eq (by norm_num1; rfl) (by norm_cast) ?_ norm_num1 refine exp_approx_end' _ (by norm_num1; rfl) _ (by norm_cast) (by simp) ?_ rw [_root_.abs_one, abs_of_pos] <;> norm_num1 #align real.exp_one_near_20 Real.exp_one_near_20 theorem exp_one_gt_d9 : 2.7182818283 < exp 1 := lt_of_lt_of_le (by norm_num) (sub_le_comm.1 (abs_sub_le_iff.1 exp_one_near_10).2) #align real.exp_one_gt_d9 Real.exp_one_gt_d9 theorem exp_one_lt_d9 : exp 1 < 2.7182818286 := lt_of_le_of_lt (sub_le_iff_le_add.1 (abs_sub_le_iff.1 exp_one_near_10).1) (by norm_num) #align real.exp_one_lt_d9 Real.exp_one_lt_d9
Mathlib/Data/Complex/ExponentialBounds.lean
44
48
theorem exp_neg_one_gt_d9 : 0.36787944116 < exp (-1) := by rw [exp_neg, lt_inv _ (exp_pos _)]
rw [exp_neg, lt_inv _ (exp_pos _)] · refine lt_of_le_of_lt (sub_le_iff_le_add.1 (abs_sub_le_iff.1 exp_one_near_10).1) ?_ norm_num · norm_num
true
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Analysis.SpecialFunctions.Complex.LogDeriv import Mathlib.Analysis.Calculus.FDeriv.Extend import Mathlib.Analysis.Calculus.Deriv.Prod import Mathlib.Analysis.SpecialFunctions.Log.Deriv import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv #align_import analysis.special_functions.pow.deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Real Topology NNReal ENNReal Filter open Filter namespace Real variable {x y z : ℝ} theorem hasStrictFDerivAt_rpow_of_pos (p : ℝ × ℝ) (hp : 0 < p.1) : HasStrictFDerivAt (fun x : ℝ × ℝ => x.1 ^ x.2) ((p.2 * p.1 ^ (p.2 - 1)) • ContinuousLinearMap.fst ℝ ℝ ℝ + (p.1 ^ p.2 * log p.1) • ContinuousLinearMap.snd ℝ ℝ ℝ) p := by have : (fun x : ℝ × ℝ => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) := (continuousAt_fst.eventually (lt_mem_nhds hp)).mono fun p hp => rpow_def_of_pos hp _ refine HasStrictFDerivAt.congr_of_eventuallyEq ?_ this.symm convert ((hasStrictFDerivAt_fst.log hp.ne').mul hasStrictFDerivAt_snd).exp using 1 rw [rpow_sub_one hp.ne', ← rpow_def_of_pos hp, smul_add, smul_smul, mul_div_left_comm, div_eq_mul_inv, smul_smul, smul_smul, mul_assoc, add_comm] #align real.has_strict_fderiv_at_rpow_of_pos Real.hasStrictFDerivAt_rpow_of_pos theorem hasStrictFDerivAt_rpow_of_neg (p : ℝ × ℝ) (hp : p.1 < 0) : HasStrictFDerivAt (fun x : ℝ × ℝ => x.1 ^ x.2) ((p.2 * p.1 ^ (p.2 - 1)) • ContinuousLinearMap.fst ℝ ℝ ℝ + (p.1 ^ p.2 * log p.1 - exp (log p.1 * p.2) * sin (p.2 * π) * π) • ContinuousLinearMap.snd ℝ ℝ ℝ) p := by have : (fun x : ℝ × ℝ => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) * cos (x.2 * π) := (continuousAt_fst.eventually (gt_mem_nhds hp)).mono fun p hp => rpow_def_of_neg hp _ refine HasStrictFDerivAt.congr_of_eventuallyEq ?_ this.symm convert ((hasStrictFDerivAt_fst.log hp.ne).mul hasStrictFDerivAt_snd).exp.mul (hasStrictFDerivAt_snd.mul_const π).cos using 1 simp_rw [rpow_sub_one hp.ne, smul_add, ← add_assoc, smul_smul, ← add_smul, ← mul_assoc, mul_comm (cos _), ← rpow_def_of_neg hp] rw [div_eq_mul_inv, add_comm]; congr 2 <;> ring #align real.has_strict_fderiv_at_rpow_of_neg Real.hasStrictFDerivAt_rpow_of_neg theorem contDiffAt_rpow_of_ne (p : ℝ × ℝ) (hp : p.1 ≠ 0) {n : ℕ∞} : ContDiffAt ℝ n (fun p : ℝ × ℝ => p.1 ^ p.2) p := by cases' hp.lt_or_lt with hneg hpos exacts [(((contDiffAt_fst.log hneg.ne).mul contDiffAt_snd).exp.mul (contDiffAt_snd.mul contDiffAt_const).cos).congr_of_eventuallyEq ((continuousAt_fst.eventually (gt_mem_nhds hneg)).mono fun p hp => rpow_def_of_neg hp _), ((contDiffAt_fst.log hpos.ne').mul contDiffAt_snd).exp.congr_of_eventuallyEq ((continuousAt_fst.eventually (lt_mem_nhds hpos)).mono fun p hp => rpow_def_of_pos hp _)] #align real.cont_diff_at_rpow_of_ne Real.contDiffAt_rpow_of_ne theorem differentiableAt_rpow_of_ne (p : ℝ × ℝ) (hp : p.1 ≠ 0) : DifferentiableAt ℝ (fun p : ℝ × ℝ => p.1 ^ p.2) p := (contDiffAt_rpow_of_ne p hp).differentiableAt le_rfl #align real.differentiable_at_rpow_of_ne Real.differentiableAt_rpow_of_ne theorem _root_.HasStrictDerivAt.rpow {f g : ℝ → ℝ} {f' g' : ℝ} (hf : HasStrictDerivAt f f' x) (hg : HasStrictDerivAt g g' x) (h : 0 < f x) : HasStrictDerivAt (fun x => f x ^ g x) (f' * g x * f x ^ (g x - 1) + g' * f x ^ g x * Real.log (f x)) x := by convert (hasStrictFDerivAt_rpow_of_pos ((fun x => (f x, g x)) x) h).comp_hasStrictDerivAt x (hf.prod hg) using 1 simp [mul_assoc, mul_comm, mul_left_comm] #align has_strict_deriv_at.rpow HasStrictDerivAt.rpow
Mathlib/Analysis/SpecialFunctions/Pow/Deriv.lean
329
335
theorem hasStrictDerivAt_rpow_const_of_ne {x : ℝ} (hx : x ≠ 0) (p : ℝ) : HasStrictDerivAt (fun x => x ^ p) (p * x ^ (p - 1)) x := by cases' hx.lt_or_lt with hx hx
cases' hx.lt_or_lt with hx hx · have := (hasStrictFDerivAt_rpow_of_neg (x, p) hx).comp_hasStrictDerivAt x ((hasStrictDerivAt_id x).prod (hasStrictDerivAt_const _ _)) convert this using 1; simp · simpa using (hasStrictDerivAt_id x).rpow (hasStrictDerivAt_const x p) hx
true
import Mathlib.Algebra.Polynomial.Mirror import Mathlib.Analysis.Complex.Polynomial #align_import data.polynomial.unit_trinomial from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836" namespace Polynomial open scoped Polynomial open Finset section Semiring variable {R : Type*} [Semiring R] (k m n : ℕ) (u v w : R) noncomputable def trinomial := C u * X ^ k + C v * X ^ m + C w * X ^ n #align polynomial.trinomial Polynomial.trinomial theorem trinomial_def : trinomial k m n u v w = C u * X ^ k + C v * X ^ m + C w * X ^ n := rfl #align polynomial.trinomial_def Polynomial.trinomial_def variable {k m n u v w} theorem trinomial_leading_coeff' (hkm : k < m) (hmn : m < n) : (trinomial k m n u v w).coeff n = w := by rw [trinomial_def, coeff_add, coeff_add, coeff_C_mul_X_pow, coeff_C_mul_X_pow, coeff_C_mul_X_pow, if_neg (hkm.trans hmn).ne', if_neg hmn.ne', if_pos rfl, zero_add, zero_add] #align polynomial.trinomial_leading_coeff' Polynomial.trinomial_leading_coeff' theorem trinomial_middle_coeff (hkm : k < m) (hmn : m < n) : (trinomial k m n u v w).coeff m = v := by rw [trinomial_def, coeff_add, coeff_add, coeff_C_mul_X_pow, coeff_C_mul_X_pow, coeff_C_mul_X_pow, if_neg hkm.ne', if_pos rfl, if_neg hmn.ne, zero_add, add_zero] #align polynomial.trinomial_middle_coeff Polynomial.trinomial_middle_coeff theorem trinomial_trailing_coeff' (hkm : k < m) (hmn : m < n) : (trinomial k m n u v w).coeff k = u := by rw [trinomial_def, coeff_add, coeff_add, coeff_C_mul_X_pow, coeff_C_mul_X_pow, coeff_C_mul_X_pow, if_pos rfl, if_neg hkm.ne, if_neg (hkm.trans hmn).ne, add_zero, add_zero] #align polynomial.trinomial_trailing_coeff' Polynomial.trinomial_trailing_coeff' theorem trinomial_natDegree (hkm : k < m) (hmn : m < n) (hw : w ≠ 0) : (trinomial k m n u v w).natDegree = n := by refine natDegree_eq_of_degree_eq_some ((Finset.sup_le fun i h => ?_).antisymm <| le_degree_of_ne_zero <| by rwa [trinomial_leading_coeff' hkm hmn]) replace h := support_trinomial' k m n u v w h rw [mem_insert, mem_insert, mem_singleton] at h rcases h with (rfl | rfl | rfl) · exact WithBot.coe_le_coe.mpr (hkm.trans hmn).le · exact WithBot.coe_le_coe.mpr hmn.le · exact le_rfl #align polynomial.trinomial_nat_degree Polynomial.trinomial_natDegree theorem trinomial_natTrailingDegree (hkm : k < m) (hmn : m < n) (hu : u ≠ 0) : (trinomial k m n u v w).natTrailingDegree = k := by refine natTrailingDegree_eq_of_trailingDegree_eq_some ((Finset.le_inf fun i h => ?_).antisymm <| trailingDegree_le_of_ne_zero <| by rwa [trinomial_trailing_coeff' hkm hmn]).symm replace h := support_trinomial' k m n u v w h rw [mem_insert, mem_insert, mem_singleton] at h rcases h with (rfl | rfl | rfl) · exact le_rfl · exact WithTop.coe_le_coe.mpr hkm.le · exact WithTop.coe_le_coe.mpr (hkm.trans hmn).le #align polynomial.trinomial_nat_trailing_degree Polynomial.trinomial_natTrailingDegree theorem trinomial_leadingCoeff (hkm : k < m) (hmn : m < n) (hw : w ≠ 0) : (trinomial k m n u v w).leadingCoeff = w := by rw [leadingCoeff, trinomial_natDegree hkm hmn hw, trinomial_leading_coeff' hkm hmn] #align polynomial.trinomial_leading_coeff Polynomial.trinomial_leadingCoeff theorem trinomial_trailingCoeff (hkm : k < m) (hmn : m < n) (hu : u ≠ 0) : (trinomial k m n u v w).trailingCoeff = u := by rw [trailingCoeff, trinomial_natTrailingDegree hkm hmn hu, trinomial_trailing_coeff' hkm hmn] #align polynomial.trinomial_trailing_coeff Polynomial.trinomial_trailingCoeff
Mathlib/Algebra/Polynomial/UnitTrinomial.lean
105
107
theorem trinomial_monic (hkm : k < m) (hmn : m < n) : (trinomial k m n u v 1).Monic := by nontriviality R
nontriviality R exact trinomial_leadingCoeff hkm hmn one_ne_zero
true
import Mathlib.Algebra.BigOperators.Finprod import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Topology.ContinuousFunction.Algebra import Mathlib.Topology.Compactness.Paracompact import Mathlib.Topology.ShrinkingLemma import Mathlib.Topology.UrysohnsLemma #align_import topology.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Function Set Filter open scoped Classical open Topology noncomputable section structure PartitionOfUnity (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where toFun : ι → C(X, ℝ) locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : 0 ≤ toFun sum_eq_one' : ∀ x ∈ s, ∑ᶠ i, toFun i x = 1 sum_le_one' : ∀ x, ∑ᶠ i, toFun i x ≤ 1 #align partition_of_unity PartitionOfUnity structure BumpCovering (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where toFun : ι → C(X, ℝ) locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : 0 ≤ toFun le_one' : toFun ≤ 1 eventuallyEq_one' : ∀ x ∈ s, ∃ i, toFun i =ᶠ[𝓝 x] 1 #align bump_covering BumpCovering variable {ι : Type u} {X : Type v} [TopologicalSpace X] namespace PartitionOfUnity variable {E : Type*} [AddCommMonoid E] [SMulWithZero ℝ E] [TopologicalSpace E] [ContinuousSMul ℝ E] {s : Set X} (f : PartitionOfUnity ι X s) instance : FunLike (PartitionOfUnity ι X s) ι C(X, ℝ) where coe := toFun coe_injective' := fun f g h ↦ by cases f; cases g; congr protected theorem locallyFinite : LocallyFinite fun i => support (f i) := f.locallyFinite' #align partition_of_unity.locally_finite PartitionOfUnity.locallyFinite theorem locallyFinite_tsupport : LocallyFinite fun i => tsupport (f i) := f.locallyFinite.closure #align partition_of_unity.locally_finite_tsupport PartitionOfUnity.locallyFinite_tsupport theorem nonneg (i : ι) (x : X) : 0 ≤ f i x := f.nonneg' i x #align partition_of_unity.nonneg PartitionOfUnity.nonneg theorem sum_eq_one {x : X} (hx : x ∈ s) : ∑ᶠ i, f i x = 1 := f.sum_eq_one' x hx #align partition_of_unity.sum_eq_one PartitionOfUnity.sum_eq_one theorem exists_pos {x : X} (hx : x ∈ s) : ∃ i, 0 < f i x := by have H := f.sum_eq_one hx contrapose! H simpa only [fun i => (H i).antisymm (f.nonneg i x), finsum_zero] using zero_ne_one #align partition_of_unity.exists_pos PartitionOfUnity.exists_pos theorem sum_le_one (x : X) : ∑ᶠ i, f i x ≤ 1 := f.sum_le_one' x #align partition_of_unity.sum_le_one PartitionOfUnity.sum_le_one theorem sum_nonneg (x : X) : 0 ≤ ∑ᶠ i, f i x := finsum_nonneg fun i => f.nonneg i x #align partition_of_unity.sum_nonneg PartitionOfUnity.sum_nonneg theorem le_one (i : ι) (x : X) : f i x ≤ 1 := (single_le_finsum i (f.locallyFinite.point_finite x) fun j => f.nonneg j x).trans (f.sum_le_one x) #align partition_of_unity.le_one PartitionOfUnity.le_one section finsupport variable {s : Set X} (ρ : PartitionOfUnity ι X s) (x₀ : X) def finsupport : Finset ι := (ρ.locallyFinite.point_finite x₀).toFinset @[simp] theorem mem_finsupport (x₀ : X) {i} : i ∈ ρ.finsupport x₀ ↔ i ∈ support fun i ↦ ρ i x₀ := by simp only [finsupport, mem_support, Finite.mem_toFinset, mem_setOf_eq] @[simp] theorem coe_finsupport (x₀ : X) : (ρ.finsupport x₀ : Set ι) = support fun i ↦ ρ i x₀ := by ext rw [Finset.mem_coe, mem_finsupport] variable {x₀ : X}
Mathlib/Topology/PartitionOfUnity.lean
200
201
theorem sum_finsupport (hx₀ : x₀ ∈ s) : ∑ i ∈ ρ.finsupport x₀, ρ i x₀ = 1 := by
rw [← ρ.sum_eq_one hx₀, finsum_eq_sum_of_support_subset _ (ρ.coe_finsupport x₀).superset]
true
import Mathlib.Tactic.NormNum import Mathlib.Tactic.TryThis import Mathlib.Util.AtomM set_option autoImplicit true namespace Mathlib.Tactic.Abel open Lean Elab Meta Tactic Qq initialize registerTraceClass `abel initialize registerTraceClass `abel.detail structure Context where α : Expr univ : Level α0 : Expr isGroup : Bool inst : Expr def mkContext (e : Expr) : MetaM Context := do let α ← inferType e let c ← synthInstance (← mkAppM ``AddCommMonoid #[α]) let cg ← synthInstance? (← mkAppM ``AddCommGroup #[α]) let u ← mkFreshLevelMVar _ ← isDefEq (.sort (.succ u)) (← inferType α) let α0 ← Expr.ofNat α 0 match cg with | some cg => return ⟨α, u, α0, true, cg⟩ | _ => return ⟨α, u, α0, false, c⟩ abbrev M := ReaderT Context AtomM def Context.app (c : Context) (n : Name) (inst : Expr) : Array Expr → Expr := mkAppN (((@Expr.const n [c.univ]).app c.α).app inst) def Context.mkApp (c : Context) (n inst : Name) (l : Array Expr) : MetaM Expr := do return c.app n (← synthInstance ((Expr.const inst [c.univ]).app c.α)) l def addG : Name → Name | .str p s => .str p (s ++ "g") | n => n def iapp (n : Name) (xs : Array Expr) : M Expr := do let c ← read return c.app (if c.isGroup then addG n else n) c.inst xs def term {α} [AddCommMonoid α] (n : ℕ) (x a : α) : α := n • x + a def termg {α} [AddCommGroup α] (n : ℤ) (x a : α) : α := n • x + a def mkTerm (n x a : Expr) : M Expr := iapp ``term #[n, x, a] def intToExpr (n : ℤ) : M Expr := do Expr.ofInt (mkConst (if (← read).isGroup then ``Int else ``Nat) []) n inductive NormalExpr : Type | zero (e : Expr) : NormalExpr | nterm (e : Expr) (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : NormalExpr deriving Inhabited def NormalExpr.e : NormalExpr → Expr | .zero e => e | .nterm e .. => e instance : Coe NormalExpr Expr where coe := NormalExpr.e def NormalExpr.term' (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : M NormalExpr := return .nterm (← mkTerm n.1 x.2 a) n x a def NormalExpr.zero' : M NormalExpr := return NormalExpr.zero (← read).α0 open NormalExpr theorem const_add_term {α} [AddCommMonoid α] (k n x a a') (h : k + a = a') : k + @term α _ n x a = term n x a' := by simp [h.symm, term, add_comm, add_assoc] theorem const_add_termg {α} [AddCommGroup α] (k n x a a') (h : k + a = a') : k + @termg α _ n x a = termg n x a' := by simp [h.symm, termg, add_comm, add_assoc] theorem term_add_const {α} [AddCommMonoid α] (n x a k a') (h : a + k = a') : @term α _ n x a + k = term n x a' := by simp [h.symm, term, add_assoc] theorem term_add_constg {α} [AddCommGroup α] (n x a k a') (h : a + k = a') : @termg α _ n x a + k = termg n x a' := by simp [h.symm, termg, add_assoc] theorem term_add_term {α} [AddCommMonoid α] (n₁ x a₁ n₂ a₂ n' a') (h₁ : n₁ + n₂ = n') (h₂ : a₁ + a₂ = a') : @term α _ n₁ x a₁ + @term α _ n₂ x a₂ = term n' x a' := by simp [h₁.symm, h₂.symm, term, add_nsmul, add_assoc, add_left_comm] theorem term_add_termg {α} [AddCommGroup α] (n₁ x a₁ n₂ a₂ n' a') (h₁ : n₁ + n₂ = n') (h₂ : a₁ + a₂ = a') : @termg α _ n₁ x a₁ + @termg α _ n₂ x a₂ = termg n' x a' := by simp only [termg, h₁.symm, add_zsmul, h₂.symm] exact add_add_add_comm (n₁ • x) a₁ (n₂ • x) a₂ theorem zero_term {α} [AddCommMonoid α] (x a) : @term α _ 0 x a = a := by simp [term, zero_nsmul, one_nsmul]
Mathlib/Tactic/Abel.lean
157
158
theorem zero_termg {α} [AddCommGroup α] (x a) : @termg α _ 0 x a = a := by
simp [termg, zero_zsmul]
true
import Mathlib.Order.Interval.Set.Basic import Mathlib.Data.Set.Function #align_import data.set.intervals.surj_on from "leanprover-community/mathlib"@"a59dad53320b73ef180174aae867addd707ef00e" variable {α : Type*} {β : Type*} [LinearOrder α] [PartialOrder β] {f : α → β} open Set Function open OrderDual (toDual) theorem surjOn_Ioo_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a b : α) : SurjOn f (Ioo a b) (Ioo (f a) (f b)) := by intro p hp rcases h_surj p with ⟨x, rfl⟩ refine ⟨x, mem_Ioo.2 ?_, rfl⟩ contrapose! hp exact fun h => h.2.not_le (h_mono <| hp <| h_mono.reflect_lt h.1) #align surj_on_Ioo_of_monotone_surjective surjOn_Ioo_of_monotone_surjective theorem surjOn_Ico_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a b : α) : SurjOn f (Ico a b) (Ico (f a) (f b)) := by obtain hab | hab := lt_or_le a b · intro p hp rcases eq_left_or_mem_Ioo_of_mem_Ico hp with (rfl | hp') · exact mem_image_of_mem f (left_mem_Ico.mpr hab) · have := surjOn_Ioo_of_monotone_surjective h_mono h_surj a b hp' exact image_subset f Ioo_subset_Ico_self this · rw [Ico_eq_empty (h_mono hab).not_lt] exact surjOn_empty f _ #align surj_on_Ico_of_monotone_surjective surjOn_Ico_of_monotone_surjective theorem surjOn_Ioc_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a b : α) : SurjOn f (Ioc a b) (Ioc (f a) (f b)) := by simpa using surjOn_Ico_of_monotone_surjective h_mono.dual h_surj (toDual b) (toDual a) #align surj_on_Ioc_of_monotone_surjective surjOn_Ioc_of_monotone_surjective -- to see that the hypothesis `a ≤ b` is necessary, consider a constant function theorem surjOn_Icc_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) {a b : α} (hab : a ≤ b) : SurjOn f (Icc a b) (Icc (f a) (f b)) := by intro p hp rcases eq_endpoints_or_mem_Ioo_of_mem_Icc hp with (rfl | rfl | hp') · exact ⟨a, left_mem_Icc.mpr hab, rfl⟩ · exact ⟨b, right_mem_Icc.mpr hab, rfl⟩ · have := surjOn_Ioo_of_monotone_surjective h_mono h_surj a b hp' exact image_subset f Ioo_subset_Icc_self this #align surj_on_Icc_of_monotone_surjective surjOn_Icc_of_monotone_surjective theorem surjOn_Ioi_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a : α) : SurjOn f (Ioi a) (Ioi (f a)) := by rw [← compl_Iic, ← compl_compl (Ioi (f a))] refine MapsTo.surjOn_compl ?_ h_surj exact fun x hx => (h_mono hx).not_lt #align surj_on_Ioi_of_monotone_surjective surjOn_Ioi_of_monotone_surjective theorem surjOn_Iio_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a : α) : SurjOn f (Iio a) (Iio (f a)) := @surjOn_Ioi_of_monotone_surjective _ _ _ _ _ h_mono.dual h_surj a #align surj_on_Iio_of_monotone_surjective surjOn_Iio_of_monotone_surjective
Mathlib/Order/Interval/Set/SurjOn.lean
75
80
theorem surjOn_Ici_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a : α) : SurjOn f (Ici a) (Ici (f a)) := by rw [← Ioi_union_left, ← Ioi_union_left]
rw [← Ioi_union_left, ← Ioi_union_left] exact (surjOn_Ioi_of_monotone_surjective h_mono h_surj a).union_union (@image_singleton _ _ f a ▸ surjOn_image _ _)
true
import Mathlib.Algebra.MonoidAlgebra.Degree import Mathlib.Algebra.MvPolynomial.Rename import Mathlib.Algebra.Order.BigOperators.Ring.Finset #align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Set Function Finsupp AddMonoidAlgebra universe u v w variable {R : Type u} {S : Type v} namespace MvPolynomial variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ} section CommSemiring variable [CommSemiring R] {p q : MvPolynomial σ R} section Degrees def degrees (p : MvPolynomial σ R) : Multiset σ := letI := Classical.decEq σ p.support.sup fun s : σ →₀ ℕ => toMultiset s #align mv_polynomial.degrees MvPolynomial.degrees theorem degrees_def [DecidableEq σ] (p : MvPolynomial σ R) : p.degrees = p.support.sup fun s : σ →₀ ℕ => Finsupp.toMultiset s := by rw [degrees]; convert rfl #align mv_polynomial.degrees_def MvPolynomial.degrees_def theorem degrees_monomial (s : σ →₀ ℕ) (a : R) : degrees (monomial s a) ≤ toMultiset s := by classical refine (supDegree_single s a).trans_le ?_ split_ifs exacts [bot_le, le_rfl] #align mv_polynomial.degrees_monomial MvPolynomial.degrees_monomial theorem degrees_monomial_eq (s : σ →₀ ℕ) (a : R) (ha : a ≠ 0) : degrees (monomial s a) = toMultiset s := by classical exact (supDegree_single s a).trans (if_neg ha) #align mv_polynomial.degrees_monomial_eq MvPolynomial.degrees_monomial_eq theorem degrees_C (a : R) : degrees (C a : MvPolynomial σ R) = 0 := Multiset.le_zero.1 <| degrees_monomial _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.degrees_C MvPolynomial.degrees_C theorem degrees_X' (n : σ) : degrees (X n : MvPolynomial σ R) ≤ {n} := le_trans (degrees_monomial _ _) <| le_of_eq <| toMultiset_single _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.degrees_X' MvPolynomial.degrees_X' @[simp] theorem degrees_X [Nontrivial R] (n : σ) : degrees (X n : MvPolynomial σ R) = {n} := (degrees_monomial_eq _ (1 : R) one_ne_zero).trans (toMultiset_single _ _) set_option linter.uppercaseLean3 false in #align mv_polynomial.degrees_X MvPolynomial.degrees_X @[simp]
Mathlib/Algebra/MvPolynomial/Degrees.lean
118
120
theorem degrees_zero : degrees (0 : MvPolynomial σ R) = 0 := by rw [← C_0]
rw [← C_0] exact degrees_C 0
true
import Mathlib.Topology.Algebra.Module.WeakDual import Mathlib.MeasureTheory.Integral.BoundedContinuousFunction import Mathlib.MeasureTheory.Measure.HasOuterApproxClosed #align_import measure_theory.measure.finite_measure from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open MeasureTheory open Set open Filter open BoundedContinuousFunction open scoped Topology ENNReal NNReal BoundedContinuousFunction namespace MeasureTheory namespace FiniteMeasure section FiniteMeasure variable {Ω : Type*} [MeasurableSpace Ω] def _root_.MeasureTheory.FiniteMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ := { μ : Measure Ω // IsFiniteMeasure μ } #align measure_theory.finite_measure MeasureTheory.FiniteMeasure -- Porting note: as with other subtype synonyms (e.g., `ℝ≥0`, we need a new function for the -- coercion instead of relying on `Subtype.val`. @[coe] def toMeasure : FiniteMeasure Ω → Measure Ω := Subtype.val instance instCoe : Coe (FiniteMeasure Ω) (MeasureTheory.Measure Ω) where coe := toMeasure instance isFiniteMeasure (μ : FiniteMeasure Ω) : IsFiniteMeasure (μ : Measure Ω) := μ.prop #align measure_theory.finite_measure.is_finite_measure MeasureTheory.FiniteMeasure.isFiniteMeasure @[simp] theorem val_eq_toMeasure (ν : FiniteMeasure Ω) : ν.val = (ν : Measure Ω) := rfl #align measure_theory.finite_measure.val_eq_to_measure MeasureTheory.FiniteMeasure.val_eq_toMeasure theorem toMeasure_injective : Function.Injective ((↑) : FiniteMeasure Ω → Measure Ω) := Subtype.coe_injective #align measure_theory.finite_measure.coe_injective MeasureTheory.FiniteMeasure.toMeasure_injective instance instFunLike : FunLike (FiniteMeasure Ω) (Set Ω) ℝ≥0 where coe μ s := ((μ : Measure Ω) s).toNNReal coe_injective' μ ν h := toMeasure_injective $ Measure.ext fun s _ ↦ by simpa [ENNReal.toNNReal_eq_toNNReal_iff, measure_ne_top] using congr_fun h s lemma coeFn_def (μ : FiniteMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl #align measure_theory.finite_measure.coe_fn_eq_to_nnreal_coe_fn_to_measure MeasureTheory.FiniteMeasure.coeFn_def lemma coeFn_mk (μ : Measure Ω) (hμ) : DFunLike.coe (F := FiniteMeasure Ω) ⟨μ, hμ⟩ = fun s ↦ (μ s).toNNReal := rfl @[simp, norm_cast] lemma mk_apply (μ : Measure Ω) (hμ) (s : Set Ω) : DFunLike.coe (F := FiniteMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl @[simp] theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : FiniteMeasure Ω) (s : Set Ω) : (ν s : ℝ≥0∞) = (ν : Measure Ω) s := ENNReal.coe_toNNReal (measure_lt_top (↑ν) s).ne #align measure_theory.finite_measure.ennreal_coe_fn_eq_coe_fn_to_measure MeasureTheory.FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure
Mathlib/MeasureTheory/Measure/FiniteMeasure.lean
168
171
theorem apply_mono (μ : FiniteMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ := by change ((μ : Measure Ω) s₁).toNNReal ≤ ((μ : Measure Ω) s₂).toNNReal
change ((μ : Measure Ω) s₁).toNNReal ≤ ((μ : Measure Ω) s₂).toNNReal have key : (μ : Measure Ω) s₁ ≤ (μ : Measure Ω) s₂ := (μ : Measure Ω).mono h apply (ENNReal.toNNReal_le_toNNReal (measure_ne_top _ s₁) (measure_ne_top _ s₂)).mpr key
true
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*] #align cancel_factors.neg_subst CancelDenoms.neg_subst theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ} (h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by rw [← h2, ← h1, mul_pow, mul_assoc] theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) : k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2]
Mathlib/Tactic/CancelDenoms/Core.lean
73
78
theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α} (ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) : (a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left]
rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left] · exact mul_pos had hbd · exact one_div_pos.2 hgcd
true
import Mathlib.Logic.Function.Iterate import Mathlib.Topology.EMetricSpace.Basic import Mathlib.Tactic.GCongr #align_import topology.metric_space.lipschitz from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v w x open Filter Function Set Topology NNReal ENNReal Bornology variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x} def LipschitzWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) := ∀ x y, edist (f x) (f y) ≤ K * edist x y #align lipschitz_with LipschitzWith def LipschitzOnWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) (s : Set α) := ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → edist (f x) (f y) ≤ K * edist x y #align lipschitz_on_with LipschitzOnWith def LocallyLipschitz [PseudoEMetricSpace α] [PseudoEMetricSpace β] (f : α → β) : Prop := ∀ x : α, ∃ K, ∃ t ∈ 𝓝 x, LipschitzOnWith K f t @[simp] theorem lipschitzOnWith_empty [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) : LipschitzOnWith K f ∅ := fun _ => False.elim #align lipschitz_on_with_empty lipschitzOnWith_empty theorem LipschitzOnWith.mono [PseudoEMetricSpace α] [PseudoEMetricSpace β] {K : ℝ≥0} {s t : Set α} {f : α → β} (hf : LipschitzOnWith K f t) (h : s ⊆ t) : LipschitzOnWith K f s := fun _x x_in _y y_in => hf (h x_in) (h y_in) #align lipschitz_on_with.mono LipschitzOnWith.mono @[simp]
Mathlib/Topology/EMetricSpace/Lipschitz.lean
82
83
theorem lipschitzOn_univ [PseudoEMetricSpace α] [PseudoEMetricSpace β] {K : ℝ≥0} {f : α → β} : LipschitzOnWith K f univ ↔ LipschitzWith K f := by
simp [LipschitzOnWith, LipschitzWith]
true
import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Ring.Regular import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.instances from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" open Set variable {α : Type*} section OrderedSemiring variable [OrderedSemiring α] namespace Set.Icc instance zero : Zero (Icc (0 : α) 1) where zero := ⟨0, left_mem_Icc.2 zero_le_one⟩ #align set.Icc.has_zero Set.Icc.zero instance one : One (Icc (0 : α) 1) where one := ⟨1, right_mem_Icc.2 zero_le_one⟩ #align set.Icc.has_one Set.Icc.one @[simp, norm_cast] theorem coe_zero : ↑(0 : Icc (0 : α) 1) = (0 : α) := rfl #align set.Icc.coe_zero Set.Icc.coe_zero @[simp, norm_cast] theorem coe_one : ↑(1 : Icc (0 : α) 1) = (1 : α) := rfl #align set.Icc.coe_one Set.Icc.coe_one @[simp] theorem mk_zero (h : (0 : α) ∈ Icc (0 : α) 1) : (⟨0, h⟩ : Icc (0 : α) 1) = 0 := rfl #align set.Icc.mk_zero Set.Icc.mk_zero @[simp] theorem mk_one (h : (1 : α) ∈ Icc (0 : α) 1) : (⟨1, h⟩ : Icc (0 : α) 1) = 1 := rfl #align set.Icc.mk_one Set.Icc.mk_one @[simp, norm_cast]
Mathlib/Algebra/Order/Interval/Set/Instances.lean
79
81
theorem coe_eq_zero {x : Icc (0 : α) 1} : (x : α) = 0 ↔ x = 0 := by symm
symm exact Subtype.ext_iff
true
import Mathlib.CategoryTheory.Sites.CompatiblePlus import Mathlib.CategoryTheory.Sites.ConcreteSheafification #align_import category_theory.sites.compatible_sheafification from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory.GrothendieckTopology open CategoryTheory open CategoryTheory.Limits open Opposite universe w₁ w₂ v u variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) variable {D : Type w₁} [Category.{max v u} D] variable {E : Type w₂} [Category.{max v u} E] variable (F : D ⥤ E) -- Porting note: Removed this and made whatever necessary noncomputable -- noncomputable section variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) D] variable [∀ (α β : Type max v u) (fst snd : β → α), HasLimitsOfShape (WalkingMulticospan fst snd) E] variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ D] variable [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ E] variable [∀ X : C, PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] variable [∀ (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] variable (P : Cᵒᵖ ⥤ D) noncomputable def sheafifyCompIso : J.sheafify P ⋙ F ≅ J.sheafify (P ⋙ F) := J.plusCompIso _ _ ≪≫ (J.plusFunctor _).mapIso (J.plusCompIso _ _) #align category_theory.grothendieck_topology.sheafify_comp_iso CategoryTheory.GrothendieckTopology.sheafifyCompIso noncomputable def sheafificationWhiskerLeftIso (P : Cᵒᵖ ⥤ D) [∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] [∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] : (whiskeringLeft _ _ E).obj (J.sheafify P) ≅ (whiskeringLeft _ _ _).obj P ⋙ J.sheafification E := by refine J.plusFunctorWhiskerLeftIso _ ≪≫ ?_ ≪≫ Functor.associator _ _ _ refine isoWhiskerRight ?_ _ exact J.plusFunctorWhiskerLeftIso _ #align category_theory.grothendieck_topology.sheafification_whisker_left_iso CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso @[simp] theorem sheafificationWhiskerLeftIso_hom_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E) [∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] [∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] : (sheafificationWhiskerLeftIso J P).hom.app F = (J.sheafifyCompIso F P).hom := by dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso] rw [Category.comp_id] #align category_theory.grothendieck_topology.sheafification_whisker_left_iso_hom_app CategoryTheory.GrothendieckTopology.sheafificationWhiskerLeftIso_hom_app @[simp]
Mathlib/CategoryTheory/Sites/CompatibleSheafification.lean
80
86
theorem sheafificationWhiskerLeftIso_inv_app (P : Cᵒᵖ ⥤ D) (F : D ⥤ E) [∀ (F : D ⥤ E) (X : C), PreservesColimitsOfShape (J.Cover X)ᵒᵖ F] [∀ (F : D ⥤ E) (X : C) (W : J.Cover X) (P : Cᵒᵖ ⥤ D), PreservesLimit (W.index P).multicospan F] : (sheafificationWhiskerLeftIso J P).inv.app F = (J.sheafifyCompIso F P).inv := by dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso]
dsimp [sheafificationWhiskerLeftIso, sheafifyCompIso] erw [Category.id_comp]
true
import Mathlib.Tactic.CategoryTheory.Coherence import Mathlib.CategoryTheory.Bicategory.Coherence namespace CategoryTheory namespace Bicategory open Category open scoped Bicategory open Mathlib.Tactic.BicategoryCoherence (bicategoricalComp bicategoricalIsoComp) universe w v u variable {B : Type u} [Bicategory.{w, v} B] {a b c : B} {f : a ⟶ b} {g : b ⟶ a} def leftZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) := η ▷ f ⊗≫ f ◁ ε def rightZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) := g ◁ η ⊗≫ ε ▷ g theorem rightZigzag_idempotent_of_left_triangle (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) (h : leftZigzag η ε = (λ_ _).hom ≫ (ρ_ _).inv) : rightZigzag η ε ⊗≫ rightZigzag η ε = rightZigzag η ε := by dsimp only [rightZigzag] calc _ = g ◁ η ⊗≫ ((ε ▷ g ▷ 𝟙 a) ≫ (𝟙 b ≫ g) ◁ η) ⊗≫ ε ▷ g := by simp [bicategoricalComp]; coherence _ = 𝟙 _ ⊗≫ g ◁ (η ▷ 𝟙 a ≫ (f ≫ g) ◁ η) ⊗≫ (ε ▷ (g ≫ f) ≫ 𝟙 b ◁ ε) ▷ g ⊗≫ 𝟙 _ := by rw [← whisker_exchange]; simp [bicategoricalComp]; coherence _ = g ◁ η ⊗≫ g ◁ leftZigzag η ε ▷ g ⊗≫ ε ▷ g := by rw [← whisker_exchange, ← whisker_exchange]; simp [leftZigzag, bicategoricalComp]; coherence _ = g ◁ η ⊗≫ ε ▷ g := by rw [h]; simp [bicategoricalComp]; coherence structure Adjunction (f : a ⟶ b) (g : b ⟶ a) where unit : 𝟙 a ⟶ f ≫ g counit : g ≫ f ⟶ 𝟙 b left_triangle : leftZigzag unit counit = (λ_ _).hom ≫ (ρ_ _).inv := by aesop_cat right_triangle : rightZigzag unit counit = (ρ_ _).hom ≫ (λ_ _).inv := by aesop_cat @[inherit_doc] scoped infixr:15 " ⊣ " => Bicategory.Adjunction namespace Adjunction attribute [simp] left_triangle right_triangle attribute [local simp] leftZigzag rightZigzag def id (a : B) : 𝟙 a ⊣ 𝟙 a where unit := (ρ_ _).inv counit := (ρ_ _).hom left_triangle := by dsimp; coherence right_triangle := by dsimp; coherence instance : Inhabited (Adjunction (𝟙 a) (𝟙 a)) := ⟨id a⟩ noncomputable section variable (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) def leftZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) := whiskerRightIso η f ≪⊗≫ whiskerLeftIso f ε def rightZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) := whiskerLeftIso g η ≪⊗≫ whiskerRightIso ε g attribute [local simp] leftZigzagIso rightZigzagIso leftZigzag rightZigzag @[simp] theorem leftZigzagIso_hom : (leftZigzagIso η ε).hom = leftZigzag η.hom ε.hom := rfl @[simp] theorem rightZigzagIso_hom : (rightZigzagIso η ε).hom = rightZigzag η.hom ε.hom := rfl @[simp]
Mathlib/CategoryTheory/Bicategory/Adjunction.lean
201
202
theorem leftZigzagIso_inv : (leftZigzagIso η ε).inv = rightZigzag ε.inv η.inv := by
simp [bicategoricalComp, bicategoricalIsoComp]
true
import Mathlib.Algebra.Group.Defs import Mathlib.Control.Functor #align_import control.applicative from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" universe u v w section Lemmas open Function variable {F : Type u → Type v} variable [Applicative F] [LawfulApplicative F] variable {α β γ σ : Type u} theorem Applicative.map_seq_map (f : α → β → γ) (g : σ → β) (x : F α) (y : F σ) : f <$> x <*> g <$> y = ((· ∘ g) ∘ f) <$> x <*> y := by simp [flip, functor_norm] #align applicative.map_seq_map Applicative.map_seq_map theorem Applicative.pure_seq_eq_map' (f : α → β) : ((pure f : F (α → β)) <*> ·) = (f <$> ·) := by ext; simp [functor_norm] #align applicative.pure_seq_eq_map' Applicative.pure_seq_eq_map'
Mathlib/Control/Applicative.lean
40
63
theorem Applicative.ext {F} : ∀ {A1 : Applicative F} {A2 : Applicative F} [@LawfulApplicative F A1] [@LawfulApplicative F A2], (∀ {α : Type u} (x : α), @Pure.pure _ A1.toPure _ x = @Pure.pure _ A2.toPure _ x) → (∀ {α β : Type u} (f : F (α → β)) (x : F α), @Seq.seq _ A1.toSeq _ _ f (fun _ => x) = @Seq.seq _ A2.toSeq _ _ f (fun _ => x)) → A1 = A2 | { toFunctor := F1, seq := s1, pure := p1, seqLeft := sl1, seqRight := sr1 }, { toFunctor := F2, seq := s2, pure := p2, seqLeft := sl2, seqRight := sr2 }, L1, L2, H1, H2 => by obtain rfl : @p1 = @p2 := by
funext α x apply H1 obtain rfl : @s1 = @s2 := by funext α β f x exact H2 f (x Unit.unit) obtain ⟨seqLeft_eq1, seqRight_eq1, pure_seq1, -⟩ := L1 obtain ⟨seqLeft_eq2, seqRight_eq2, pure_seq2, -⟩ := L2 obtain rfl : F1 = F2 := by apply Functor.ext intros exact (pure_seq1 _ _).symm.trans (pure_seq2 _ _) congr <;> funext α β x y · exact (seqLeft_eq1 _ (y Unit.unit)).trans (seqLeft_eq2 _ _).symm · exact (seqRight_eq1 _ (y Unit.unit)).trans (seqRight_eq2 _ (y Unit.unit)).symm
false
import Mathlib.Analysis.InnerProductSpace.Adjoint import Mathlib.Topology.Algebra.Module.Basic #align_import analysis.inner_product_space.linear_pmap from "leanprover-community/mathlib"@"8b981918a93bc45a8600de608cde7944a80d92b9" noncomputable section open RCLike open scoped ComplexConjugate Classical variable {𝕜 E F G : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y namespace LinearPMap def IsFormalAdjoint (T : E →ₗ.[𝕜] F) (S : F →ₗ.[𝕜] E) : Prop := ∀ (x : T.domain) (y : S.domain), ⟪T x, y⟫ = ⟪(x : E), S y⟫ #align linear_pmap.is_formal_adjoint LinearPMap.IsFormalAdjoint variable {T : E →ₗ.[𝕜] F} {S : F →ₗ.[𝕜] E} @[symm] protected theorem IsFormalAdjoint.symm (h : T.IsFormalAdjoint S) : S.IsFormalAdjoint T := fun y _ => by rw [← inner_conj_symm, ← inner_conj_symm (y : F), h] #align linear_pmap.is_formal_adjoint.symm LinearPMap.IsFormalAdjoint.symm variable (T) def adjointDomain : Submodule 𝕜 F where carrier := {y | Continuous ((innerₛₗ 𝕜 y).comp T.toFun)} zero_mem' := by rw [Set.mem_setOf_eq, LinearMap.map_zero, LinearMap.zero_comp] exact continuous_zero add_mem' hx hy := by rw [Set.mem_setOf_eq, LinearMap.map_add] at *; exact hx.add hy smul_mem' a x hx := by rw [Set.mem_setOf_eq, LinearMap.map_smulₛₗ] at * exact hx.const_smul (conj a) #align linear_pmap.adjoint_domain LinearPMap.adjointDomain def adjointDomainMkCLM (y : T.adjointDomain) : T.domain →L[𝕜] 𝕜 := ⟨(innerₛₗ 𝕜 (y : F)).comp T.toFun, y.prop⟩ #align linear_pmap.adjoint_domain_mk_clm LinearPMap.adjointDomainMkCLM theorem adjointDomainMkCLM_apply (y : T.adjointDomain) (x : T.domain) : adjointDomainMkCLM T y x = ⟪(y : F), T x⟫ := rfl #align linear_pmap.adjoint_domain_mk_clm_apply LinearPMap.adjointDomainMkCLM_apply variable {T} variable (hT : Dense (T.domain : Set E)) def adjointDomainMkCLMExtend (y : T.adjointDomain) : E →L[𝕜] 𝕜 := (T.adjointDomainMkCLM y).extend (Submodule.subtypeL T.domain) hT.denseRange_val uniformEmbedding_subtype_val.toUniformInducing #align linear_pmap.adjoint_domain_mk_clm_extend LinearPMap.adjointDomainMkCLMExtend @[simp] theorem adjointDomainMkCLMExtend_apply (y : T.adjointDomain) (x : T.domain) : adjointDomainMkCLMExtend hT y (x : E) = ⟪(y : F), T x⟫ := ContinuousLinearMap.extend_eq _ _ _ _ _ #align linear_pmap.adjoint_domain_mk_clm_extend_apply LinearPMap.adjointDomainMkCLMExtend_apply variable [CompleteSpace E] def adjointAux : T.adjointDomain →ₗ[𝕜] E where toFun y := (InnerProductSpace.toDual 𝕜 E).symm (adjointDomainMkCLMExtend hT y) map_add' x y := hT.eq_of_inner_left fun _ => by simp only [inner_add_left, Submodule.coe_add, InnerProductSpace.toDual_symm_apply, adjointDomainMkCLMExtend_apply] map_smul' _ _ := hT.eq_of_inner_left fun _ => by simp only [inner_smul_left, Submodule.coe_smul_of_tower, RingHom.id_apply, InnerProductSpace.toDual_symm_apply, adjointDomainMkCLMExtend_apply] #align linear_pmap.adjoint_aux LinearPMap.adjointAux
Mathlib/Analysis/InnerProductSpace/LinearPMap.lean
140
147
theorem adjointAux_inner (y : T.adjointDomain) (x : T.domain) : ⟪adjointAux hT y, x⟫ = ⟪(y : F), T x⟫ := by
simp only [adjointAux, LinearMap.coe_mk, InnerProductSpace.toDual_symm_apply, adjointDomainMkCLMExtend_apply] -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5026): -- mathlib3 was finished here simp only [AddHom.coe_mk, InnerProductSpace.toDual_symm_apply] rw [adjointDomainMkCLMExtend_apply]
false
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]
Mathlib/Order/SymmDiff.lean
121
121
theorem symmDiff_self : a ∆ a = ⊥ := by
rw [symmDiff, sup_idem, sdiff_self]
false
import Mathlib.CategoryTheory.Sites.Coherent.RegularSheaves namespace CategoryTheory.regularTopology open Limits variable {C : Type*} [Category C] [Preregular C] {X : C} theorem mem_sieves_of_hasEffectiveEpi (S : Sieve X) : (∃ (Y : C) (π : Y ⟶ X), EffectiveEpi π ∧ S.arrows π) → (S ∈ (regularTopology C).sieves X) := by rintro ⟨Y, π, h⟩ have h_le : Sieve.generate (Presieve.ofArrows (fun () ↦ Y) (fun _ ↦ π)) ≤ S := by rw [Sieve.sets_iff_generate (Presieve.ofArrows _ _) S] apply Presieve.le_of_factorsThru_sieve (Presieve.ofArrows _ _) S _ intro W g f refine ⟨W, 𝟙 W, ?_⟩ cases f exact ⟨π, ⟨h.2, Category.id_comp π⟩⟩ apply Coverage.saturate_of_superset (regularCoverage C) h_le exact Coverage.saturate.of X _ ⟨Y, π, rfl, h.1⟩ instance {Y Y' : C} (π : Y ⟶ X) [EffectiveEpi π] (π' : Y' ⟶ Y) [EffectiveEpi π'] : EffectiveEpi (π' ≫ π) := by rw [effectiveEpi_iff_effectiveEpiFamily, ← Sieve.effectiveEpimorphic_family] suffices h₂ : (Sieve.generate (Presieve.ofArrows _ _)) ∈ GrothendieckTopology.sieves (regularTopology C) X by change Nonempty _ rw [← Sieve.forallYonedaIsSheaf_iff_colimit] exact fun W => regularTopology.isSheaf_yoneda_obj W _ h₂ apply Coverage.saturate.transitive X (Sieve.generate (Presieve.ofArrows (fun () ↦ Y) (fun () ↦ π))) · apply Coverage.saturate.of use Y, π · intro V f ⟨Y₁, h, g, ⟨hY, hf⟩⟩ rw [← hf, Sieve.pullback_comp] apply (regularTopology C).pullback_stable' apply regularTopology.mem_sieves_of_hasEffectiveEpi cases hY exact ⟨Y', π', inferInstance, Y', (𝟙 _), π' ≫ π, Presieve.ofArrows.mk (), (by simp)⟩
Mathlib/CategoryTheory/Sites/Coherent/RegularTopology.lean
64
78
theorem mem_sieves_iff_hasEffectiveEpi (S : Sieve X) : (S ∈ (regularTopology C).sieves X) ↔ ∃ (Y : C) (π : Y ⟶ X), EffectiveEpi π ∧ (S.arrows π) := by
constructor · intro h induction' h with Y T hS Y Y R S _ _ a b · rcases hS with ⟨Y', π, h'⟩ refine ⟨Y', π, h'.2, ?_⟩ rcases h' with ⟨rfl, _⟩ exact ⟨Y', 𝟙 Y', π, Presieve.ofArrows.mk (), (by simp)⟩ · exact ⟨Y, (𝟙 Y), inferInstance, by simp only [Sieve.top_apply, forall_const]⟩ · rcases a with ⟨Y₁, π, ⟨h₁,h₂⟩⟩ choose Y' π' _ H using b h₂ exact ⟨Y', π' ≫ π, inferInstance, (by simpa using H)⟩ · exact regularTopology.mem_sieves_of_hasEffectiveEpi S
false
import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Ideal.Over import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.jacobson from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" set_option autoImplicit true universe u namespace Ideal open Polynomial open Polynomial namespace Polynomial open Polynomial section CommRing -- Porting note: move to better place -- Porting note: make `S` and `T` universe polymorphic lemma Subring.mem_closure_image_of {S T : Type*} [CommRing S] [CommRing T] (g : S →+* T) (u : Set S) (x : S) (hx : x ∈ Subring.closure u) : g x ∈ Subring.closure (g '' u) := by rw [Subring.mem_closure] at hx ⊢ intro T₁ h₁ rw [← Subring.mem_comap] apply hx simp only [Subring.coe_comap, ← Set.image_subset_iff, SetLike.mem_coe] exact h₁ -- Porting note: move to better place lemma mem_closure_X_union_C {R : Type*} [Ring R] (p : R[X]) : p ∈ Subring.closure (insert X {f | f.degree ≤ 0} : Set R[X]) := by refine Polynomial.induction_on p ?_ ?_ ?_ · intro r apply Subring.subset_closure apply Set.mem_insert_of_mem exact degree_C_le · intros p1 p2 h1 h2 exact Subring.add_mem _ h1 h2 · intros n r hr rw [pow_succ, ← mul_assoc] apply Subring.mul_mem _ hr apply Subring.subset_closure apply Set.mem_insert variable {R S : Type*} [CommRing R] [CommRing S] [IsDomain S] variable {Rₘ Sₘ : Type*} [CommRing Rₘ] [CommRing Sₘ]
Mathlib/RingTheory/Jacobson.lean
303
355
theorem isIntegral_isLocalization_polynomial_quotient (P : Ideal R[X]) (pX : R[X]) (hpX : pX ∈ P) [Algebra (R ⧸ P.comap (C : R →+* R[X])) Rₘ] [IsLocalization.Away (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff Rₘ] [Algebra (R[X] ⧸ P) Sₘ] [IsLocalization ((Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff).map (quotientMap P C le_rfl) : Submonoid (R[X] ⧸ P)) Sₘ] : (IsLocalization.map Sₘ (quotientMap P C le_rfl) (Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff).le_comap_map : Rₘ →+* Sₘ).IsIntegral := by
let P' : Ideal R := P.comap C let M : Submonoid (R ⧸ P') := Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff let M' : Submonoid (R[X] ⧸ P) := (Submonoid.powers (pX.map (Quotient.mk (P.comap (C : R →+* R[X])))).leadingCoeff).map (quotientMap P C le_rfl) let φ : R ⧸ P' →+* R[X] ⧸ P := quotientMap P C le_rfl let φ' : Rₘ →+* Sₘ := IsLocalization.map Sₘ φ M.le_comap_map have hφ' : φ.comp (Quotient.mk P') = (Quotient.mk P).comp C := rfl intro p obtain ⟨⟨p', ⟨q, hq⟩⟩, hp⟩ := IsLocalization.surj M' p suffices φ'.IsIntegralElem (algebraMap (R[X] ⧸ P) Sₘ p') by obtain ⟨q', hq', rfl⟩ := hq obtain ⟨q'', hq''⟩ := isUnit_iff_exists_inv'.1 (IsLocalization.map_units Rₘ (⟨q', hq'⟩ : M)) refine (hp.symm ▸ this).of_mul_unit φ' p (algebraMap (R[X] ⧸ P) Sₘ (φ q')) q'' ?_ rw [← φ'.map_one, ← congr_arg φ' hq'', φ'.map_mul, ← φ'.comp_apply] simp only [IsLocalization.map_comp _] rw [RingHom.comp_apply] dsimp at hp refine @IsIntegral.of_mem_closure'' Rₘ _ Sₘ _ φ' ((algebraMap (R[X] ⧸ P) Sₘ).comp (Quotient.mk P) '' insert X { p | p.degree ≤ 0 }) ?_ ((algebraMap (R[X] ⧸ P) Sₘ) p') ?_ · rintro x ⟨p, hp, rfl⟩ simp only [Set.mem_insert_iff] at hp cases' hp with hy hy · rw [hy] refine φ.isIntegralElem_localization_at_leadingCoeff ((Quotient.mk P) X) (pX.map (Quotient.mk P')) ?_ M ?_ · rwa [eval₂_map, hφ', ← hom_eval₂, Quotient.eq_zero_iff_mem, eval₂_C_X] · use 1 simp only [pow_one] · rw [Set.mem_setOf_eq, degree_le_zero_iff] at hy -- Porting note: was `refine' hy.symm ▸` -- `⟨X - C (algebraMap _ _ ((Quotient.mk P') (p.coeff 0))), monic_X_sub_C _, _⟩` rw [hy] use X - C (algebraMap (R ⧸ P') Rₘ ((Quotient.mk P') (p.coeff 0))) constructor · apply monic_X_sub_C · simp only [eval₂_sub, eval₂_X, eval₂_C] rw [sub_eq_zero, ← φ'.comp_apply] simp only [IsLocalization.map_comp _] rfl · obtain ⟨p, rfl⟩ := Quotient.mk_surjective p' rw [← RingHom.comp_apply] apply Subring.mem_closure_image_of apply Polynomial.mem_closure_X_union_C
false
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2)) theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))] #align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h #align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)] #align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
83
87
theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢ rw [add_comm] exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h
false
import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Data.Nat.Fib.Basic import Mathlib.Tactic.Monotonicity #align_import algebra.continued_fractions.computation.approximations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) open Int variable {K : Type*} {v : K} {n : ℕ} [LinearOrderedField K] [FloorRing K] namespace IntFractPair
Mathlib/Algebra/ContinuedFractions/Computation/Approximations.lean
70
80
theorem nth_stream_fr_nonneg_lt_one {ifp_n : IntFractPair K} (nth_stream_eq : IntFractPair.stream v n = some ifp_n) : 0 ≤ ifp_n.fr ∧ ifp_n.fr < 1 := by
cases n with | zero => have : IntFractPair.of v = ifp_n := by injection nth_stream_eq rw [← this, IntFractPair.of] exact ⟨fract_nonneg _, fract_lt_one _⟩ | succ => rcases succ_nth_stream_eq_some_iff.1 nth_stream_eq with ⟨_, _, _, ifp_of_eq_ifp_n⟩ rw [← ifp_of_eq_ifp_n, IntFractPair.of] exact ⟨fract_nonneg _, fract_lt_one _⟩
false
import Mathlib.Data.Set.Pointwise.SMul import Mathlib.GroupTheory.GroupAction.Hom open Set Pointwise theorem MulAction.smul_bijective_of_is_unit {M : Type*} [Monoid M] {α : Type*} [MulAction M α] {m : M} (hm : IsUnit m) : Function.Bijective (fun (a : α) ↦ m • a) := by lift m to Mˣ using hm rw [Function.bijective_iff_has_inverse] use fun a ↦ m⁻¹ • a constructor · intro x; simp [← Units.smul_def] · intro x; simp [← Units.smul_def] variable {R S : Type*} (M M₁ M₂ N : Type*) variable [Monoid R] [Monoid S] (σ : R → S) variable [MulAction R M] [MulAction S N] [MulAction R M₁] [MulAction R M₂] variable {F : Type*} (h : F) section MulActionSemiHomClass variable [FunLike F M N] [MulActionSemiHomClass F σ M N] (c : R) (s : Set M) (t : Set N) -- @[simp] -- In #8386, the `simp_nf` linter complains: -- "Left-hand side does not simplify, when using the simp lemma on itself." -- For now we will have to manually add `image_smul_setₛₗ _` to the `simp` argument list. -- TODO: when lean4#3107 is fixed, mark this as `@[simp]`.
Mathlib/GroupTheory/GroupAction/Pointwise.lean
58
60
theorem image_smul_setₛₗ : h '' (c • s) = σ c • h '' s := by
simp only [← image_smul, image_image, map_smulₛₗ h]
false
import Mathlib.Algebra.Module.Submodule.Localization import Mathlib.LinearAlgebra.Dimension.DivisionRing import Mathlib.RingTheory.Localization.FractionRing import Mathlib.RingTheory.OreLocalization.OreSet open Cardinal nonZeroDivisors section CommRing universe u u' v v' variable {R : Type u} (S : Type u') {M : Type v} {N : Type v'} variable [CommRing R] [CommRing S] [AddCommGroup M] [AddCommGroup N] variable [Module R M] [Module R N] [Algebra R S] [Module S N] [IsScalarTower R S N] variable (p : Submonoid R) [IsLocalization p S] (f : M →ₗ[R] N) [IsLocalizedModule p f] variable (hp : p ≤ R⁰) variable {S} in lemma IsLocalizedModule.linearIndependent_lift {ι} {v : ι → N} (hf : LinearIndependent S v) : ∃ w : ι → M, LinearIndependent R w := by choose sec hsec using IsLocalizedModule.surj p f use fun i ↦ (sec (v i)).1 rw [linearIndependent_iff'] at hf ⊢ intro t g hg i hit apply hp (sec (v i)).2.prop apply IsLocalization.injective S hp rw [map_zero] refine hf t (fun i ↦ algebraMap R S (g i * (sec (v i)).2)) ?_ _ hit simp only [map_mul, mul_smul, algebraMap_smul, ← Submonoid.smul_def, hsec, ← map_smul, ← map_sum, hg, map_zero] lemma IsLocalizedModule.lift_rank_eq : Cardinal.lift.{v} (Module.rank S N) = Cardinal.lift.{v'} (Module.rank R M) := by cases' subsingleton_or_nontrivial R · have := (algebraMap R S).codomain_trivial; simp only [rank_subsingleton, lift_one] have := (IsLocalization.injective S hp).nontrivial apply le_antisymm · rw [Module.rank_def, lift_iSup (bddAbove_range.{v', v'} _)] apply ciSup_le' intro ⟨s, hs⟩ exact (IsLocalizedModule.linearIndependent_lift p f hp hs).choose_spec.cardinal_lift_le_rank · rw [Module.rank_def, lift_iSup (bddAbove_range.{v, v} _)] apply ciSup_le' intro ⟨s, hs⟩ choose sec hsec using IsLocalization.surj p (S := S) refine LinearIndependent.cardinal_lift_le_rank (ι := s) (v := fun i ↦ f i) ?_ rw [linearIndependent_iff'] at hs ⊢ intro t g hg i hit apply (IsLocalization.map_units S (sec (g i)).2).mul_left_injective classical let u := fun (i : s) ↦ (t.erase i).prod (fun j ↦ (sec (g j)).2) have : f (t.sum fun i ↦ u i • (sec (g i)).1 • i) = f 0 := by convert congr_arg (t.prod (fun j ↦ (sec (g j)).2) • ·) hg · simp only [map_sum, map_smul, Submonoid.smul_def, Finset.smul_sum] apply Finset.sum_congr rfl intro j hj simp only [u, ← @IsScalarTower.algebraMap_smul R S N, Submonoid.coe_finset_prod, map_prod] rw [← hsec, mul_comm (g j), mul_smul, ← mul_smul, Finset.prod_erase_mul (h := hj)] rw [map_zero, smul_zero] obtain ⟨c, hc⟩ := IsLocalizedModule.exists_of_eq (S := p) this simp_rw [smul_zero, Finset.smul_sum, ← mul_smul, Submonoid.smul_def, ← mul_smul, mul_comm] at hc simp only [hsec, zero_mul, map_eq_zero_iff (algebraMap R S) (IsLocalization.injective S hp)] apply hp (c * u i).prop exact hs t _ hc _ hit lemma IsLocalizedModule.rank_eq {N : Type v} [AddCommGroup N] [Module R N] [Module S N] [IsScalarTower R S N] (f : M →ₗ[R] N) [IsLocalizedModule p f] : Module.rank S N = Module.rank R M := by simpa using IsLocalizedModule.lift_rank_eq S p f hp variable (R M) in
Mathlib/LinearAlgebra/Dimension/Localization.lean
85
93
theorem exists_set_linearIndependent_of_isDomain [IsDomain R] : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := by
obtain ⟨w, hw⟩ := IsLocalizedModule.linearIndependent_lift R⁰ (LocalizedModule.mkLinearMap R⁰ M) le_rfl (Module.Free.chooseBasis (FractionRing R) (LocalizedModule R⁰ M)).linearIndependent refine ⟨Set.range w, ?_, (linearIndependent_subtype_range hw.injective).mpr hw⟩ apply Cardinal.lift_injective.{max u v} rw [Cardinal.mk_range_eq_of_injective hw.injective, ← Module.Free.rank_eq_card_chooseBasisIndex, IsLocalizedModule.lift_rank_eq (FractionRing R) R⁰ (LocalizedModule.mkLinearMap R⁰ M) le_rfl]
false
import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Order.Filter.IndicatorFunction open MeasureTheory section DominatedConvergenceTheorem open Set Filter TopologicalSpace ENNReal open scoped Topology namespace MeasureTheory variable {α E G: Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup G] [NormedSpace ℝ G] {f g : α → E} {m : MeasurableSpace α} {μ : Measure α} theorem tendsto_integral_of_dominated_convergence {F : ℕ → α → G} {f : α → G} (bound : α → ℝ) (F_measurable : ∀ n, AEStronglyMeasurable (F n) μ) (bound_integrable : Integrable bound μ) (h_bound : ∀ n, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound a) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) atTop (𝓝 (f a))) : Tendsto (fun n => ∫ a, F n a ∂μ) atTop (𝓝 <| ∫ a, f a ∂μ) := by by_cases hG : CompleteSpace G · simp only [integral, hG, L1.integral] exact tendsto_setToFun_of_dominated_convergence (dominatedFinMeasAdditive_weightedSMul μ) bound F_measurable bound_integrable h_bound h_lim · simp [integral, hG] #align measure_theory.tendsto_integral_of_dominated_convergence MeasureTheory.tendsto_integral_of_dominated_convergence theorem tendsto_integral_filter_of_dominated_convergence {ι} {l : Filter ι} [l.IsCountablyGenerated] {F : ι → α → G} {f : α → G} (bound : α → ℝ) (hF_meas : ∀ᶠ n in l, AEStronglyMeasurable (F n) μ) (h_bound : ∀ᶠ n in l, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound a) (bound_integrable : Integrable bound μ) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) l (𝓝 (f a))) : Tendsto (fun n => ∫ a, F n a ∂μ) l (𝓝 <| ∫ a, f a ∂μ) := by by_cases hG : CompleteSpace G · simp only [integral, hG, L1.integral] exact tendsto_setToFun_filter_of_dominated_convergence (dominatedFinMeasAdditive_weightedSMul μ) bound hF_meas h_bound bound_integrable h_lim · simp [integral, hG, tendsto_const_nhds] #align measure_theory.tendsto_integral_filter_of_dominated_convergence MeasureTheory.tendsto_integral_filter_of_dominated_convergence theorem hasSum_integral_of_dominated_convergence {ι} [Countable ι] {F : ι → α → G} {f : α → G} (bound : ι → α → ℝ) (hF_meas : ∀ n, AEStronglyMeasurable (F n) μ) (h_bound : ∀ n, ∀ᵐ a ∂μ, ‖F n a‖ ≤ bound n a) (bound_summable : ∀ᵐ a ∂μ, Summable fun n => bound n a) (bound_integrable : Integrable (fun a => ∑' n, bound n a) μ) (h_lim : ∀ᵐ a ∂μ, HasSum (fun n => F n a) (f a)) : HasSum (fun n => ∫ a, F n a ∂μ) (∫ a, f a ∂μ) := by have hb_nonneg : ∀ᵐ a ∂μ, ∀ n, 0 ≤ bound n a := eventually_countable_forall.2 fun n => (h_bound n).mono fun a => (norm_nonneg _).trans have hb_le_tsum : ∀ n, bound n ≤ᵐ[μ] fun a => ∑' n, bound n a := by intro n filter_upwards [hb_nonneg, bound_summable] with _ ha0 ha_sum using le_tsum ha_sum _ fun i _ => ha0 i have hF_integrable : ∀ n, Integrable (F n) μ := by refine fun n => bound_integrable.mono' (hF_meas n) ?_ exact EventuallyLE.trans (h_bound n) (hb_le_tsum n) simp only [HasSum, ← integral_finset_sum _ fun n _ => hF_integrable n] refine tendsto_integral_filter_of_dominated_convergence (fun a => ∑' n, bound n a) ?_ ?_ bound_integrable h_lim · exact eventually_of_forall fun s => s.aestronglyMeasurable_sum fun n _ => hF_meas n · filter_upwards with s filter_upwards [eventually_countable_forall.2 h_bound, hb_nonneg, bound_summable] with a hFa ha0 has calc ‖∑ n ∈ s, F n a‖ ≤ ∑ n ∈ s, bound n a := norm_sum_le_of_le _ fun n _ => hFa n _ ≤ ∑' n, bound n a := sum_le_tsum _ (fun n _ => ha0 n) has #align measure_theory.has_sum_integral_of_dominated_convergence MeasureTheory.hasSum_integral_of_dominated_convergence
Mathlib/MeasureTheory/Integral/DominatedConvergence.lean
107
137
theorem integral_tsum {ι} [Countable ι] {f : ι → α → G} (hf : ∀ i, AEStronglyMeasurable (f i) μ) (hf' : ∑' i, ∫⁻ a : α, ‖f i a‖₊ ∂μ ≠ ∞) : ∫ a : α, ∑' i, f i a ∂μ = ∑' i, ∫ a : α, f i a ∂μ := by
by_cases hG : CompleteSpace G; swap · simp [integral, hG] have hf'' : ∀ i, AEMeasurable (fun x => (‖f i x‖₊ : ℝ≥0∞)) μ := fun i => (hf i).ennnorm have hhh : ∀ᵐ a : α ∂μ, Summable fun n => (‖f n a‖₊ : ℝ) := by rw [← lintegral_tsum hf''] at hf' refine (ae_lt_top' (AEMeasurable.ennreal_tsum hf'') hf').mono ?_ intro x hx rw [← ENNReal.tsum_coe_ne_top_iff_summable_coe] exact hx.ne convert (MeasureTheory.hasSum_integral_of_dominated_convergence (fun i a => ‖f i a‖₊) hf _ hhh ⟨_, _⟩ _).tsum_eq.symm · intro n filter_upwards with x rfl · simp_rw [← NNReal.coe_tsum] rw [aestronglyMeasurable_iff_aemeasurable] apply AEMeasurable.coe_nnreal_real apply AEMeasurable.nnreal_tsum exact fun i => (hf i).nnnorm.aemeasurable · dsimp [HasFiniteIntegral] have : ∫⁻ a, ∑' n, ‖f n a‖₊ ∂μ < ⊤ := by rwa [lintegral_tsum hf'', lt_top_iff_ne_top] convert this using 1 apply lintegral_congr_ae simp_rw [← coe_nnnorm, ← NNReal.coe_tsum, NNReal.nnnorm_eq] filter_upwards [hhh] with a ha exact ENNReal.coe_tsum (NNReal.summable_coe.mp ha) · filter_upwards [hhh] with x hx exact hx.of_norm.hasSum
false
import Mathlib.Analysis.NormedSpace.PiTensorProduct.ProjectiveSeminorm import Mathlib.LinearAlgebra.Isomorphisms universe uι u𝕜 uE uF variable {ι : Type uι} [Fintype ι] variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜] variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] open scoped TensorProduct namespace PiTensorProduct section seminorm variable (F) in @[simps!] noncomputable def toDualContinuousMultilinearMap : (⨂[𝕜] i, E i) →ₗ[𝕜] ContinuousMultilinearMap 𝕜 E F →L[𝕜] F where toFun x := LinearMap.mkContinuous ((LinearMap.flip (lift (R := 𝕜) (s := E) (E := F)).toLinearMap x) ∘ₗ ContinuousMultilinearMap.toMultilinearMapLinear) (projectiveSeminorm x) (fun _ ↦ by simp only [LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.flip_apply, LinearEquiv.coe_coe] exact norm_eval_le_projectiveSeminorm _ _ _) map_add' x y := by ext _ simp only [map_add, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.add_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, ContinuousLinearMap.add_apply] map_smul' a x := by ext _ simp only [map_smul, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.smul_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, RingHom.id_apply, ContinuousLinearMap.coe_smul', Pi.smul_apply] theorem toDualContinuousMultilinearMap_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) : ‖toDualContinuousMultilinearMap F x‖ ≤ projectiveSeminorm x := by simp only [toDualContinuousMultilinearMap, LinearMap.coe_mk, AddHom.coe_mk] apply LinearMap.mkContinuous_norm_le _ (apply_nonneg _ _) noncomputable irreducible_def injectiveSeminorm : Seminorm 𝕜 (⨂[𝕜] i, E i) := sSup {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} lemma dualSeminorms_bounded : BddAbove {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} := by existsi projectiveSeminorm rw [mem_upperBounds] simp only [Set.mem_setOf_eq, forall_exists_index] intro p G _ _ hp rw [hp] intro x simp only [Seminorm.comp_apply, coe_normSeminorm] exact toDualContinuousMultilinearMap_le_projectiveSeminorm _ theorem injectiveSeminorm_apply (x : ⨂[𝕜] i, E i) : injectiveSeminorm x = ⨆ p : {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))}, p.1 x := by simp [injectiveSeminorm] exact Seminorm.sSup_apply dualSeminorms_bounded
Mathlib/Analysis/NormedSpace/PiTensorProduct/InjectiveSeminorm.lean
152
202
theorem norm_eval_le_injectiveSeminorm (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) : ‖lift f.toMultilinearMap x‖ ≤ ‖f‖ * injectiveSeminorm x := by
/- If `F` were in `Type (max uι u𝕜 uE)` (which is the type of `⨂[𝕜] i, E i`), then the property that we want to prove would hold by definition of `injectiveSeminorm`. This is not necessarily true, but we will show that there exists a normed vector space `G` in `Type (max uι u𝕜 uE)` and an injective isometry from `G` to `F` such that `f` factors through a continuous multilinear map `f'` from `E = Π i, E i` to `G`, to which we can apply the definition of `injectiveSeminorm`. The desired inequality for `f` then follows immediately. The idea is very simple: the multilinear map `f` corresponds by `PiTensorProduct.lift` to a linear map from `⨂[𝕜] i, E i` to `F`, say `l`. We want to take `G` to be the image of `l`, with the norm induced from that of `F`; to make sure that we are in the correct universe, it is actually more convenient to take `G` equal to the coimage of `l` (i.e. the quotient of `⨂[𝕜] i, E i` by the kernel of `l`), which is canonically isomorphic to its image by `LinearMap.quotKerEquivRange`. -/ set G := (⨂[𝕜] i, E i) ⧸ LinearMap.ker (lift f.toMultilinearMap) set G' := LinearMap.range (lift f.toMultilinearMap) set e := LinearMap.quotKerEquivRange (lift f.toMultilinearMap) letI := SeminormedAddCommGroup.induced G G' e letI := NormedSpace.induced 𝕜 G G' e set f'₀ := lift.symm (e.symm.toLinearMap ∘ₗ LinearMap.rangeRestrict (lift f.toMultilinearMap)) have hf'₀ : ∀ (x : Π (i : ι), E i), ‖f'₀ x‖ ≤ ‖f‖ * ∏ i, ‖x i‖ := fun x ↦ by change ‖e (f'₀ x)‖ ≤ _ simp only [lift_symm, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, Submodule.coe_norm, LinearMap.codRestrict_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, e, f'₀] exact f.le_opNorm x set f' := MultilinearMap.mkContinuous f'₀ ‖f‖ hf'₀ have hnorm : ‖f'‖ ≤ ‖f‖ := (f'.opNorm_le_iff (norm_nonneg f)).mpr hf'₀ have heq : e (lift f'.toMultilinearMap x) = lift f.toMultilinearMap x := by induction' x using PiTensorProduct.induction_on with a m _ _ hx hy · simp only [lift_symm, map_smul, lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, SetLike.val_smul, LinearMap.codRestrict_apply, f', f'₀] · simp only [map_add, AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, hx, hy] suffices h : ‖lift f'.toMultilinearMap x‖ ≤ ‖f'‖ * injectiveSeminorm x by change ‖(e (lift f'.toMultilinearMap x)).1‖ ≤ _ at h rw [heq] at h exact le_trans h (mul_le_mul_of_nonneg_right hnorm (apply_nonneg _ _)) have hle : Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E)) ≤ injectiveSeminorm := by simp only [injectiveSeminorm] refine le_csSup dualSeminorms_bounded ?_ rw [Set.mem_setOf] existsi G, inferInstance, inferInstance rfl refine le_trans ?_ (mul_le_mul_of_nonneg_left (hle x) (norm_nonneg f')) simp only [Seminorm.comp_apply, coe_normSeminorm, ← toDualContinuousMultilinearMap_apply_apply] rw [mul_comm] exact ContinuousLinearMap.le_opNorm _ _
false
import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.RingTheory.LocalProperties #align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 universe u open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop) namespace RingHom variable {P}
Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean
48
70
theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _ (Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _ (X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _ (Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso, ← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r))) (X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff] congr delta IsLocalization.Away.map refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_ generalize_proofs haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r) -- Porting note: needs to be very explicit here convert (@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r)) _ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1 change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _ rw [f.val.c.naturality_assoc] simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp] congr 1
false
import Mathlib.Geometry.Manifold.MFDeriv.SpecificFunctions noncomputable section open scoped Manifold open Bundle Set Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] section Charts variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M'] [SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H} theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I e x := by rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩ have mem : I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by simp only [hx, mfld_simps] have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible (chart_mem_atlas H x) h have A : ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm) (I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1 #align mdifferentiable_at_atlas mdifferentiableAt_atlas theorem mdifferentiableOn_atlas (h : e ∈ atlas H M) : MDifferentiableOn I I e e.source := fun _x hx => (mdifferentiableAt_atlas I h hx).mdifferentiableWithinAt #align mdifferentiable_on_atlas mdifferentiableOn_atlas
Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean
113
129
theorem mdifferentiableAt_atlas_symm (h : e ∈ atlas H M) {x : H} (hx : x ∈ e.target) : MDifferentiableAt I I e.symm x := by
rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn_symm x hx).continuousAt (e.open_target.mem_nhds hx), ?_⟩ have mem : I x ∈ I.symm ⁻¹' (e.symm ≫ₕ chartAt H (e.symm x)).source ∩ range I := by simp only [hx, mfld_simps] have : e.symm.trans (chartAt H (e.symm x)) ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible h (chart_mem_atlas H _) have A : ContDiffOn 𝕜 ∞ (I ∘ e.symm.trans (chartAt H (e.symm x)) ∘ I.symm) (I.symm ⁻¹' (e.symm.trans (chartAt H (e.symm x))).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I x) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
false
import Mathlib.Algebra.Homology.Homotopy import Mathlib.AlgebraicTopology.DoldKan.Notations #align_import algebraic_topology.dold_kan.homotopies from "leanprover-community/mathlib"@"b12099d3b7febf4209824444dd836ef5ad96db55" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive CategoryTheory.SimplicialObject Homotopy Opposite Simplicial DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] variable {X : SimplicialObject C} abbrev c := ComplexShape.down ℕ #align algebraic_topology.dold_kan.c AlgebraicTopology.DoldKan.c theorem c_mk (i j : ℕ) (h : j + 1 = i) : c.Rel i j := ComplexShape.down_mk i j h #align algebraic_topology.dold_kan.c_mk AlgebraicTopology.DoldKan.c_mk theorem cs_down_0_not_rel_left (j : ℕ) : ¬c.Rel 0 j := by intro hj dsimp at hj apply Nat.not_succ_le_zero j rw [Nat.succ_eq_add_one, hj] #align algebraic_topology.dold_kan.cs_down_0_not_rel_left AlgebraicTopology.DoldKan.cs_down_0_not_rel_left def hσ (q : ℕ) (n : ℕ) : X _[n] ⟶ X _[n + 1] := if n < q then 0 else (-1 : ℤ) ^ (n - q) • X.σ ⟨n - q, Nat.lt_succ_of_le (Nat.sub_le _ _)⟩ #align algebraic_topology.dold_kan.hσ AlgebraicTopology.DoldKan.hσ def hσ' (q : ℕ) : ∀ n m, c.Rel m n → (K[X].X n ⟶ K[X].X m) := fun n m hnm => hσ q n ≫ eqToHom (by congr) #align algebraic_topology.dold_kan.hσ' AlgebraicTopology.DoldKan.hσ' theorem hσ'_eq_zero {q n m : ℕ} (hnq : n < q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = 0 := by simp only [hσ', hσ] split_ifs exact zero_comp #align algebraic_topology.dold_kan.hσ'_eq_zero AlgebraicTopology.DoldKan.hσ'_eq_zero theorem hσ'_eq {q n a m : ℕ} (ha : n = a + q) (hnm : c.Rel m n) : (hσ' q n m hnm : X _[n] ⟶ X _[m]) = ((-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩) ≫ eqToHom (by congr) := by simp only [hσ', hσ] split_ifs · omega · have h' := tsub_eq_of_eq_add ha congr #align algebraic_topology.dold_kan.hσ'_eq AlgebraicTopology.DoldKan.hσ'_eq theorem hσ'_eq' {q n a : ℕ} (ha : n = a + q) : (hσ' q n (n + 1) rfl : X _[n] ⟶ X _[n + 1]) = (-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩ := by rw [hσ'_eq ha rfl, eqToHom_refl, comp_id] #align algebraic_topology.dold_kan.hσ'_eq' AlgebraicTopology.DoldKan.hσ'_eq' def Hσ (q : ℕ) : K[X] ⟶ K[X] := nullHomotopicMap' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Hσ AlgebraicTopology.DoldKan.hσ def homotopyHσToZero (q : ℕ) : Homotopy (Hσ q : K[X] ⟶ K[X]) 0 := nullHomotopy' (hσ' q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.homotopy_Hσ_to_zero AlgebraicTopology.DoldKan.homotopyHσToZero
Mathlib/AlgebraicTopology/DoldKan/Homotopies.lean
141
151
theorem Hσ_eq_zero (q : ℕ) : (Hσ q : K[X] ⟶ K[X]).f 0 = 0 := by
unfold Hσ rw [nullHomotopicMap'_f_of_not_rel_left (c_mk 1 0 rfl) cs_down_0_not_rel_left] rcases q with (_|q) · rw [hσ'_eq (show 0 = 0 + 0 by rfl) (c_mk 1 0 rfl)] simp only [pow_zero, Fin.mk_zero, one_zsmul, eqToHom_refl, Category.comp_id] erw [ChainComplex.of_d] rw [AlternatingFaceMapComplex.objD, Fin.sum_univ_two, Fin.val_zero, Fin.val_one, pow_zero, pow_one, one_smul, neg_smul, one_smul, comp_add, comp_neg, add_neg_eq_zero] erw [δ_comp_σ_self, δ_comp_σ_succ] · rw [hσ'_eq_zero (Nat.succ_pos q) (c_mk 1 0 rfl), zero_comp]
false
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.IdealOperations import Mathlib.Order.Hom.Basic #align_import algebra.lie.solvable from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476" universe u v w w₁ w₂ variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L'] variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L} namespace LieAlgebra def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L := (fun I => ⁅I, I⁆)^[k] #align lie_algebra.derived_series_of_ideal LieAlgebra.derivedSeriesOfIdeal @[simp] theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I := rfl #align lie_algebra.derived_series_of_ideal_zero LieAlgebra.derivedSeriesOfIdeal_zero @[simp] theorem derivedSeriesOfIdeal_succ (k : ℕ) : derivedSeriesOfIdeal R L (k + 1) I = ⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ := Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I #align lie_algebra.derived_series_of_ideal_succ LieAlgebra.derivedSeriesOfIdeal_succ abbrev derivedSeries (k : ℕ) : LieIdeal R L := derivedSeriesOfIdeal R L k ⊤ #align lie_algebra.derived_series LieAlgebra.derivedSeries theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ := rfl #align lie_algebra.derived_series_def LieAlgebra.derivedSeries_def variable {R L} local notation "D" => derivedSeriesOfIdeal R L theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by induction' k with k ih · rw [Nat.zero_add, derivedSeriesOfIdeal_zero] · rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih] #align lie_algebra.derived_series_of_ideal_add LieAlgebra.derivedSeriesOfIdeal_add @[mono] theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) : D k I ≤ D l J := by revert l; induction' k with k ih <;> intro l h₂ · rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁ · have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂ cases' h with h h · rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ] exact LieSubmodule.mono_lie _ _ _ _ (ih (le_refl k)) (ih (le_refl k)) · rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h) #align lie_algebra.derived_series_of_ideal_le LieAlgebra.derivedSeriesOfIdeal_le theorem derivedSeriesOfIdeal_succ_le (k : ℕ) : D (k + 1) I ≤ D k I := derivedSeriesOfIdeal_le (le_refl I) k.le_succ #align lie_algebra.derived_series_of_ideal_succ_le LieAlgebra.derivedSeriesOfIdeal_succ_le theorem derivedSeriesOfIdeal_le_self (k : ℕ) : D k I ≤ I := derivedSeriesOfIdeal_le (le_refl I) (zero_le k) #align lie_algebra.derived_series_of_ideal_le_self LieAlgebra.derivedSeriesOfIdeal_le_self theorem derivedSeriesOfIdeal_mono {I J : LieIdeal R L} (h : I ≤ J) (k : ℕ) : D k I ≤ D k J := derivedSeriesOfIdeal_le h (le_refl k) #align lie_algebra.derived_series_of_ideal_mono LieAlgebra.derivedSeriesOfIdeal_mono theorem derivedSeriesOfIdeal_antitone {k l : ℕ} (h : l ≤ k) : D k I ≤ D l I := derivedSeriesOfIdeal_le (le_refl I) h #align lie_algebra.derived_series_of_ideal_antitone LieAlgebra.derivedSeriesOfIdeal_antitone theorem derivedSeriesOfIdeal_add_le_add (J : LieIdeal R L) (k l : ℕ) : D (k + l) (I + J) ≤ D k I + D l J := by let D₁ : LieIdeal R L →o LieIdeal R L := { toFun := fun I => ⁅I, I⁆ monotone' := fun I J h => LieSubmodule.mono_lie I J I J h h } have h₁ : ∀ I J : LieIdeal R L, D₁ (I ⊔ J) ≤ D₁ I ⊔ J := by simp [D₁, LieSubmodule.lie_le_right, LieSubmodule.lie_le_left, le_sup_of_le_right] rw [← D₁.iterate_sup_le_sup_iff] at h₁ exact h₁ k l I J #align lie_algebra.derived_series_of_ideal_add_le_add LieAlgebra.derivedSeriesOfIdeal_add_le_add
Mathlib/Algebra/Lie/Solvable.lean
127
128
theorem derivedSeries_of_bot_eq_bot (k : ℕ) : derivedSeriesOfIdeal R L k ⊥ = ⊥ := by
rw [eq_bot_iff]; exact derivedSeriesOfIdeal_le_self ⊥ k
false
import Mathlib.NumberTheory.Divisors import Mathlib.Data.Nat.Digits import Mathlib.Data.Nat.MaxPowDiv import Mathlib.Data.Nat.Multiplicity import Mathlib.Tactic.IntervalCases #align_import number_theory.padics.padic_val from "leanprover-community/mathlib"@"60fa54e778c9e85d930efae172435f42fb0d71f7" universe u open Nat open Rat open multiplicity def padicValNat (p : ℕ) (n : ℕ) : ℕ := if h : p ≠ 1 ∧ 0 < n then (multiplicity p n).get (multiplicity.finite_nat_iff.2 h) else 0 #align padic_val_nat padicValNat namespace padicValNat open multiplicity variable {p : ℕ} @[simp] protected theorem zero : padicValNat p 0 = 0 := by simp [padicValNat] #align padic_val_nat.zero padicValNat.zero @[simp] protected theorem one : padicValNat p 1 = 0 := by unfold padicValNat split_ifs · simp · rfl #align padic_val_nat.one padicValNat.one @[simp] theorem self (hp : 1 < p) : padicValNat p p = 1 := by have neq_one : ¬p = 1 ↔ True := iff_of_true hp.ne' trivial have eq_zero_false : p = 0 ↔ False := iff_false_intro (zero_lt_one.trans hp).ne' simp [padicValNat, neq_one, eq_zero_false] #align padic_val_nat.self padicValNat.self @[simp] theorem eq_zero_iff {n : ℕ} : padicValNat p n = 0 ↔ p = 1 ∨ n = 0 ∨ ¬p ∣ n := by simp only [padicValNat, dite_eq_right_iff, PartENat.get_eq_iff_eq_coe, Nat.cast_zero, multiplicity_eq_zero, and_imp, pos_iff_ne_zero, Ne, ← or_iff_not_imp_left] #align padic_val_nat.eq_zero_iff padicValNat.eq_zero_iff theorem eq_zero_of_not_dvd {n : ℕ} (h : ¬p ∣ n) : padicValNat p n = 0 := eq_zero_iff.2 <| Or.inr <| Or.inr h #align padic_val_nat.eq_zero_of_not_dvd padicValNat.eq_zero_of_not_dvd open Nat.maxPowDiv theorem maxPowDiv_eq_multiplicity {p n : ℕ} (hp : 1 < p) (hn : 0 < n) : p.maxPowDiv n = multiplicity p n := by apply multiplicity.unique <| pow_dvd p n intro h apply Nat.not_lt.mpr <| le_of_dvd hp hn h simp
Mathlib/NumberTheory/Padics/PadicVal.lean
126
129
theorem maxPowDiv_eq_multiplicity_get {p n : ℕ} (hp : 1 < p) (hn : 0 < n) (h : Finite p n) : p.maxPowDiv n = (multiplicity p n).get h := by
rw [PartENat.get_eq_iff_eq_coe.mpr] apply maxPowDiv_eq_multiplicity hp hn|>.symm
false
import Mathlib.Analysis.Analytic.Composition import Mathlib.Analysis.Analytic.Constructions import Mathlib.Analysis.Complex.CauchyIntegral import Mathlib.Analysis.SpecialFunctions.Complex.LogDeriv open Complex Set open scoped Topology variable {E : Type} [NormedAddCommGroup E] [NormedSpace ℂ E] variable {f g : E → ℂ} {z : ℂ} {x : E} {s : Set E} theorem analyticOn_cexp : AnalyticOn ℂ exp univ := by rw [analyticOn_univ_iff_differentiable]; exact differentiable_exp theorem analyticAt_cexp : AnalyticAt ℂ exp z := analyticOn_cexp z (mem_univ _) theorem AnalyticAt.cexp (fa : AnalyticAt ℂ f x) : AnalyticAt ℂ (fun z ↦ exp (f z)) x := analyticAt_cexp.comp fa theorem AnalyticOn.cexp (fs : AnalyticOn ℂ f s) : AnalyticOn ℂ (fun z ↦ exp (f z)) s := fun z n ↦ analyticAt_cexp.comp (fs z n)
Mathlib/Analysis/SpecialFunctions/Complex/Analytic.lean
40
44
theorem analyticAt_clog (m : z ∈ slitPlane) : AnalyticAt ℂ log z := by
rw [analyticAt_iff_eventually_differentiableAt] filter_upwards [isOpen_slitPlane.eventually_mem m] intro z m exact differentiableAt_id.clog m
false
import Mathlib.Algebra.Category.ModuleCat.Basic import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.CategoryTheory.Monoidal.Linear #align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2" -- Porting note: Module set_option linter.uppercaseLean3 false suppress_compilation universe v w x u open CategoryTheory namespace ModuleCat variable {R : Type u} [CommRing R] namespace MonoidalCategory -- The definitions inside this namespace are essentially private. -- After we build the `MonoidalCategory (Module R)` instance, -- you should use that API. open TensorProduct attribute [local ext] TensorProduct.ext def tensorObj (M N : ModuleCat R) : ModuleCat R := ModuleCat.of R (M ⊗[R] N) #align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') : tensorObj M M' ⟶ tensorObj N N' := TensorProduct.map f g #align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) : tensorObj M N₁ ⟶ tensorObj M N₂ := f.lTensor M def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) : tensorObj M₁ N ⟶ tensorObj M₂ N := f.rTensor N theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_id ModuleCat.MonoidalCategory.tensor_id theorem tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂) : tensorHom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensorHom f₁ f₂ ≫ tensorHom g₁ g₂ := by -- Porting note: even with high priority ext fails to find this apply TensorProduct.ext rfl #align Module.monoidal_category.tensor_comp ModuleCat.MonoidalCategory.tensor_comp def associator (M : ModuleCat.{v} R) (N : ModuleCat.{w} R) (K : ModuleCat.{x} R) : tensorObj (tensorObj M N) K ≅ tensorObj M (tensorObj N K) := (TensorProduct.assoc R M N K).toModuleIso #align Module.monoidal_category.associator ModuleCat.MonoidalCategory.associator def leftUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (R ⊗[R] M) ≅ M := (LinearEquiv.toModuleIso (TensorProduct.lid R M) : of R (R ⊗ M) ≅ of R M).trans (ofSelfIso M) #align Module.monoidal_category.left_unitor ModuleCat.MonoidalCategory.leftUnitor def rightUnitor (M : ModuleCat.{u} R) : ModuleCat.of R (M ⊗[R] R) ≅ M := (LinearEquiv.toModuleIso (TensorProduct.rid R M) : of R (M ⊗ R) ≅ of R M).trans (ofSelfIso M) #align Module.monoidal_category.right_unitor ModuleCat.MonoidalCategory.rightUnitor instance : MonoidalCategoryStruct (ModuleCat.{u} R) where tensorObj := tensorObj whiskerLeft := whiskerLeft whiskerRight := whiskerRight tensorHom f g := TensorProduct.map f g tensorUnit := ModuleCat.of R R associator := associator leftUnitor := leftUnitor rightUnitor := rightUnitor section open TensorProduct (assoc map) private theorem associator_naturality_aux {X₁ X₂ X₃ : Type*} [AddCommMonoid X₁] [AddCommMonoid X₂] [AddCommMonoid X₃] [Module R X₁] [Module R X₂] [Module R X₃] {Y₁ Y₂ Y₃ : Type*} [AddCommMonoid Y₁] [AddCommMonoid Y₂] [AddCommMonoid Y₃] [Module R Y₁] [Module R Y₂] [Module R Y₃] (f₁ : X₁ →ₗ[R] Y₁) (f₂ : X₂ →ₗ[R] Y₂) (f₃ : X₃ →ₗ[R] Y₃) : ↑(assoc R Y₁ Y₂ Y₃) ∘ₗ map (map f₁ f₂) f₃ = map f₁ (map f₂ f₃) ∘ₗ ↑(assoc R X₁ X₂ X₃) := by apply TensorProduct.ext_threefold intro x y z rfl -- Porting note: private so hopeful never used outside this file -- #align Module.monoidal_category.associator_naturality_aux ModuleCat.MonoidalCategory.associator_naturality_aux variable (R) private theorem pentagon_aux (W X Y Z : Type*) [AddCommMonoid W] [AddCommMonoid X] [AddCommMonoid Y] [AddCommMonoid Z] [Module R W] [Module R X] [Module R Y] [Module R Z] : (((assoc R X Y Z).toLinearMap.lTensor W).comp (assoc R W (X ⊗[R] Y) Z).toLinearMap).comp ((assoc R W X Y).toLinearMap.rTensor Z) = (assoc R W X (Y ⊗[R] Z)).toLinearMap.comp (assoc R (W ⊗[R] X) Y Z).toLinearMap := by apply TensorProduct.ext_fourfold intro w x y z rfl -- Porting note: private so hopeful never used outside this file -- #align Module.monoidal_category.pentagon_aux Module.monoidal_category.pentagon_aux end
Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean
151
155
theorem associator_naturality {X₁ X₂ X₃ Y₁ Y₂ Y₃ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃) : tensorHom (tensorHom f₁ f₂) f₃ ≫ (associator Y₁ Y₂ Y₃).hom = (associator X₁ X₂ X₃).hom ≫ tensorHom f₁ (tensorHom f₂ f₃) := by
convert associator_naturality_aux f₁ f₂ f₃ using 1
false
import Mathlib.Algebra.Group.Indicator import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.Field.Rat import Mathlib.GroupTheory.GroupAction.Group import Mathlib.GroupTheory.GroupAction.Pi #align_import algebra.module.basic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e" open Function Set universe u v variable {α R M M₂ : Type*} @[deprecated (since := "2024-04-17")] alias map_nat_cast_smul := map_natCast_smul theorem map_inv_natCast_smul [AddCommMonoid M] [AddCommMonoid M₂] {F : Type*} [FunLike F M M₂] [AddMonoidHomClass F M M₂] (f : F) (R S : Type*) [DivisionSemiring R] [DivisionSemiring S] [Module R M] [Module S M₂] (n : ℕ) (x : M) : f ((n⁻¹ : R) • x) = (n⁻¹ : S) • f x := by by_cases hR : (n : R) = 0 <;> by_cases hS : (n : S) = 0 · simp [hR, hS, map_zero f] · suffices ∀ y, f y = 0 by rw [this, this, smul_zero] clear x intro x rw [← inv_smul_smul₀ hS (f x), ← map_natCast_smul f R S] simp [hR, map_zero f] · suffices ∀ y, f y = 0 by simp [this] clear x intro x rw [← smul_inv_smul₀ hR x, map_natCast_smul f R S, hS, zero_smul] · rw [← inv_smul_smul₀ hS (f _), ← map_natCast_smul f R S, smul_inv_smul₀ hR] #align map_inv_nat_cast_smul map_inv_natCast_smul @[deprecated (since := "2024-04-17")] alias map_inv_nat_cast_smul := map_inv_natCast_smul
Mathlib/Algebra/Module/Basic.lean
49
55
theorem map_inv_intCast_smul [AddCommGroup M] [AddCommGroup M₂] {F : Type*} [FunLike F M M₂] [AddMonoidHomClass F M M₂] (f : F) (R S : Type*) [DivisionRing R] [DivisionRing S] [Module R M] [Module S M₂] (z : ℤ) (x : M) : f ((z⁻¹ : R) • x) = (z⁻¹ : S) • f x := by
obtain ⟨n, rfl | rfl⟩ := z.eq_nat_or_neg · rw [Int.cast_natCast, Int.cast_natCast, map_inv_natCast_smul _ R S] · simp_rw [Int.cast_neg, Int.cast_natCast, inv_neg, neg_smul, map_neg, map_inv_natCast_smul _ R S]
false
import Mathlib.Data.List.Nodup import Mathlib.Data.List.Range #align_import data.list.nat_antidiagonal from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213" open List Function Nat namespace List namespace Nat def antidiagonal (n : ℕ) : List (ℕ × ℕ) := (range (n + 1)).map fun i ↦ (i, n - i) #align list.nat.antidiagonal List.Nat.antidiagonal @[simp] theorem mem_antidiagonal {n : ℕ} {x : ℕ × ℕ} : x ∈ antidiagonal n ↔ x.1 + x.2 = n := by rw [antidiagonal, mem_map]; constructor · rintro ⟨i, hi, rfl⟩ rw [mem_range, Nat.lt_succ_iff] at hi exact Nat.add_sub_cancel' hi · rintro rfl refine ⟨x.fst, ?_, ?_⟩ · rw [mem_range] omega · exact Prod.ext rfl (by simp only [Nat.add_sub_cancel_left]) #align list.nat.mem_antidiagonal List.Nat.mem_antidiagonal @[simp] theorem length_antidiagonal (n : ℕ) : (antidiagonal n).length = n + 1 := by rw [antidiagonal, length_map, length_range] #align list.nat.length_antidiagonal List.Nat.length_antidiagonal @[simp] theorem antidiagonal_zero : antidiagonal 0 = [(0, 0)] := rfl #align list.nat.antidiagonal_zero List.Nat.antidiagonal_zero theorem nodup_antidiagonal (n : ℕ) : Nodup (antidiagonal n) := (nodup_range _).map ((@LeftInverse.injective ℕ (ℕ × ℕ) Prod.fst fun i ↦ (i, n - i)) fun _ ↦ rfl) #align list.nat.nodup_antidiagonal List.Nat.nodup_antidiagonal @[simp]
Mathlib/Data/List/NatAntidiagonal.lean
68
73
theorem antidiagonal_succ {n : ℕ} : antidiagonal (n + 1) = (0, n + 1) :: (antidiagonal n).map (Prod.map Nat.succ id) := by
simp only [antidiagonal, range_succ_eq_map, map_cons, true_and_iff, Nat.add_succ_sub_one, Nat.add_zero, id, eq_self_iff_true, Nat.sub_zero, map_map, Prod.map_mk] apply congr rfl (congr rfl _) ext; simp
false
import Mathlib.LinearAlgebra.Matrix.DotProduct import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal #align_import data.matrix.rank from "leanprover-community/mathlib"@"17219820a8aa8abe85adf5dfde19af1dd1bd8ae7" open Matrix namespace Matrix open FiniteDimensional variable {l m n o R : Type*} [Fintype n] [Fintype o] section CommRing variable [CommRing R] noncomputable def rank (A : Matrix m n R) : ℕ := finrank R <| LinearMap.range A.mulVecLin #align matrix.rank Matrix.rank @[simp] theorem rank_one [StrongRankCondition R] [DecidableEq n] : rank (1 : Matrix n n R) = Fintype.card n := by rw [rank, mulVecLin_one, LinearMap.range_id, finrank_top, finrank_pi] #align matrix.rank_one Matrix.rank_one @[simp]
Mathlib/Data/Matrix/Rank.lean
55
56
theorem rank_zero [Nontrivial R] : rank (0 : Matrix m n R) = 0 := by
rw [rank, mulVecLin_zero, LinearMap.range_zero, finrank_bot]
false
import Mathlib.MeasureTheory.Constructions.Pi import Mathlib.MeasureTheory.Integral.Lebesgue open scoped Classical ENNReal open Set Function Equiv Finset noncomputable section namespace MeasureTheory section LMarginal variable {δ δ' : Type*} {π : δ → Type*} [∀ x, MeasurableSpace (π x)] variable {μ : ∀ i, Measure (π i)} [∀ i, SigmaFinite (μ i)] [DecidableEq δ] variable {s t : Finset δ} {f g : (∀ i, π i) → ℝ≥0∞} {x y : ∀ i, π i} {i : δ} def lmarginal (μ : ∀ i, Measure (π i)) (s : Finset δ) (f : (∀ i, π i) → ℝ≥0∞) (x : ∀ i, π i) : ℝ≥0∞ := ∫⁻ y : ∀ i : s, π i, f (updateFinset x s y) ∂Measure.pi fun i : s => μ i -- Note: this notation is not a binder. This is more convenient since it returns a function. @[inherit_doc] notation "∫⋯∫⁻_" s ", " f " ∂" μ:70 => lmarginal μ s f @[inherit_doc] notation "∫⋯∫⁻_" s ", " f => lmarginal (fun _ ↦ volume) s f variable (μ)
Mathlib/MeasureTheory/Integral/Marginal.lean
88
96
theorem _root_.Measurable.lmarginal (hf : Measurable f) : Measurable (∫⋯∫⁻_s, f ∂μ) := by
refine Measurable.lintegral_prod_right ?_ refine hf.comp ?_ rw [measurable_pi_iff]; intro i by_cases hi : i ∈ s · simp [hi, updateFinset] exact measurable_pi_iff.1 measurable_snd _ · simp [hi, updateFinset] exact measurable_pi_iff.1 measurable_fst _
false
import Mathlib.Topology.Constructions #align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set Filter Function Topology Filter variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} variable [TopologicalSpace α] @[simp] theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a := bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl #align nhds_bind_nhds_within nhds_bind_nhdsWithin @[simp] theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x } #align eventually_nhds_nhds_within eventually_nhds_nhdsWithin theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x := eventually_inf_principal #align eventually_nhds_within_iff eventually_nhdsWithin_iff theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} : (∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s := frequently_inf_principal.trans <| by simp only [and_comm] #align frequently_nhds_within_iff frequently_nhdsWithin_iff theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} : z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff] #align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within @[simp] theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩ simp only [eventually_nhdsWithin_iff] at h ⊢ exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs #align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin theorem nhdsWithin_eq (a : α) (s : Set α) : 𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) := ((nhds_basis_opens a).inf_principal s).eq_biInf #align nhds_within_eq nhdsWithin_eq theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by rw [nhdsWithin, principal_univ, inf_top_eq] #align nhds_within_univ nhdsWithin_univ theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s) (t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t := h.inf_principal t #align nhds_within_has_basis nhdsWithin_hasBasis theorem nhdsWithin_basis_open (a : α) (t : Set α) : (𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t := nhdsWithin_hasBasis (nhds_basis_opens a) t #align nhds_within_basis_open nhdsWithin_basis_open
Mathlib/Topology/ContinuousOn.lean
89
91
theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
false
import Mathlib.Topology.Basic #align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Topology variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X} {s t s₁ s₂ t₁ t₂ : Set X} {x : X} theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] : 𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by rw [nhdsSet, ← range_diag, ← range_comp] rfl #align nhds_set_diagonal nhdsSet_diagonal theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image] #align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet] theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s := mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <| subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s` #align bUnion_mem_nhds_set bUnion_mem_nhdsSet theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds] #align subset_interior_iff_mem_nhds_set subset_interior_iff_mem_nhdsSet theorem disjoint_principal_nhdsSet : Disjoint (𝓟 s) (𝓝ˢ t) ↔ Disjoint (closure s) t := by rw [disjoint_principal_left, ← subset_interior_iff_mem_nhdsSet, interior_compl, subset_compl_iff_disjoint_left] theorem disjoint_nhdsSet_principal : Disjoint (𝓝ˢ s) (𝓟 t) ↔ Disjoint s (closure t) := by rw [disjoint_comm, disjoint_principal_nhdsSet, disjoint_comm] theorem mem_nhdsSet_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : Set X, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := by rw [← subset_interior_iff_mem_nhdsSet, subset_interior_iff] #align mem_nhds_set_iff_exists mem_nhdsSet_iff_exists theorem eventually_nhdsSet_iff_exists {p : X → Prop} : (∀ᶠ x in 𝓝ˢ s, p x) ↔ ∃ t, IsOpen t ∧ s ⊆ t ∧ ∀ x, x ∈ t → p x := mem_nhdsSet_iff_exists theorem eventually_nhdsSet_iff_forall {p : X → Prop} : (∀ᶠ x in 𝓝ˢ s, p x) ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, p y := mem_nhdsSet_iff_forall theorem hasBasis_nhdsSet (s : Set X) : (𝓝ˢ s).HasBasis (fun U => IsOpen U ∧ s ⊆ U) fun U => U := ⟨fun t => by simp [mem_nhdsSet_iff_exists, and_assoc]⟩ #align has_basis_nhds_set hasBasis_nhdsSet @[simp] lemma lift'_nhdsSet_interior (s : Set X) : (𝓝ˢ s).lift' interior = 𝓝ˢ s := (hasBasis_nhdsSet s).lift'_interior_eq_self fun _ ↦ And.left lemma Filter.HasBasis.nhdsSet_interior {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {t : Set X} (h : (𝓝ˢ t).HasBasis p s) : (𝓝ˢ t).HasBasis p (interior <| s ·) := lift'_nhdsSet_interior t ▸ h.lift'_interior theorem IsOpen.mem_nhdsSet (hU : IsOpen s) : s ∈ 𝓝ˢ t ↔ t ⊆ s := by rw [← subset_interior_iff_mem_nhdsSet, hU.interior_eq] #align is_open.mem_nhds_set IsOpen.mem_nhdsSet theorem IsOpen.mem_nhdsSet_self (ho : IsOpen s) : s ∈ 𝓝ˢ s := ho.mem_nhdsSet.mpr Subset.rfl theorem principal_le_nhdsSet : 𝓟 s ≤ 𝓝ˢ s := fun _s hs => (subset_interior_iff_mem_nhdsSet.mpr hs).trans interior_subset #align principal_le_nhds_set principal_le_nhdsSet theorem subset_of_mem_nhdsSet (h : t ∈ 𝓝ˢ s) : s ⊆ t := principal_le_nhdsSet h theorem Filter.Eventually.self_of_nhdsSet {p : X → Prop} (h : ∀ᶠ x in 𝓝ˢ s, p x) : ∀ x ∈ s, p x := principal_le_nhdsSet h nonrec theorem Filter.EventuallyEq.self_of_nhdsSet {f g : X → Y} (h : f =ᶠ[𝓝ˢ s] g) : EqOn f g s := h.self_of_nhdsSet @[simp]
Mathlib/Topology/NhdsSet.lean
110
112
theorem nhdsSet_eq_principal_iff : 𝓝ˢ s = 𝓟 s ↔ IsOpen s := by
rw [← principal_le_nhdsSet.le_iff_eq, le_principal_iff, mem_nhdsSet_iff_forall, isOpen_iff_mem_nhds]
false
import Mathlib.Data.Set.Image #align_import data.nat.set from "leanprover-community/mathlib"@"cf9386b56953fb40904843af98b7a80757bbe7f9" namespace Nat section Set open Set theorem zero_union_range_succ : {0} ∪ range succ = univ := by ext n cases n <;> simp #align nat.zero_union_range_succ Nat.zero_union_range_succ @[simp] protected theorem range_succ : range succ = { i | 0 < i } := by ext (_ | i) <;> simp [succ_pos, succ_ne_zero, Set.mem_setOf] #align nat.range_succ Nat.range_succ variable {α : Type*} theorem range_of_succ (f : ℕ → α) : {f 0} ∪ range (f ∘ succ) = range f := by rw [← image_singleton, range_comp, ← image_union, zero_union_range_succ, image_univ] #align nat.range_of_succ Nat.range_of_succ
Mathlib/Data/Nat/Set.lean
37
46
theorem range_rec {α : Type*} (x : α) (f : ℕ → α → α) : (Set.range fun n => Nat.rec x f n : Set α) = {x} ∪ Set.range fun n => Nat.rec (f 0 x) (f ∘ succ) n := by
convert (range_of_succ (fun n => Nat.rec x f n : ℕ → α)).symm using 4 dsimp rename_i n induction' n with n ihn · rfl · dsimp at ihn ⊢ rw [ihn]
false
import Mathlib.RingTheory.Localization.Basic #align_import ring_theory.localization.integer from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a" variable {R : Type*} [CommSemiring R] {M : Submonoid R} {S : Type*} [CommSemiring S] variable [Algebra R S] {P : Type*} [CommSemiring P] open Function namespace IsLocalization section variable (R) -- TODO: define a subalgebra of `IsInteger`s def IsInteger (a : S) : Prop := a ∈ (algebraMap R S).rangeS #align is_localization.is_integer IsLocalization.IsInteger end theorem isInteger_zero : IsInteger R (0 : S) := Subsemiring.zero_mem _ #align is_localization.is_integer_zero IsLocalization.isInteger_zero theorem isInteger_one : IsInteger R (1 : S) := Subsemiring.one_mem _ #align is_localization.is_integer_one IsLocalization.isInteger_one theorem isInteger_add {a b : S} (ha : IsInteger R a) (hb : IsInteger R b) : IsInteger R (a + b) := Subsemiring.add_mem _ ha hb #align is_localization.is_integer_add IsLocalization.isInteger_add theorem isInteger_mul {a b : S} (ha : IsInteger R a) (hb : IsInteger R b) : IsInteger R (a * b) := Subsemiring.mul_mem _ ha hb #align is_localization.is_integer_mul IsLocalization.isInteger_mul theorem isInteger_smul {a : R} {b : S} (hb : IsInteger R b) : IsInteger R (a • b) := by rcases hb with ⟨b', hb⟩ use a * b' rw [← hb, (algebraMap R S).map_mul, Algebra.smul_def] #align is_localization.is_integer_smul IsLocalization.isInteger_smul variable (M) variable [IsLocalization M S] theorem exists_integer_multiple' (a : S) : ∃ b : M, IsInteger R (a * algebraMap R S b) := let ⟨⟨Num, denom⟩, h⟩ := IsLocalization.surj _ a ⟨denom, Set.mem_range.mpr ⟨Num, h.symm⟩⟩ #align is_localization.exists_integer_multiple' IsLocalization.exists_integer_multiple' theorem exists_integer_multiple (a : S) : ∃ b : M, IsInteger R ((b : R) • a) := by simp_rw [Algebra.smul_def, mul_comm _ a] apply exists_integer_multiple' #align is_localization.exists_integer_multiple IsLocalization.exists_integer_multiple theorem exist_integer_multiples {ι : Type*} (s : Finset ι) (f : ι → S) : ∃ b : M, ∀ i ∈ s, IsLocalization.IsInteger R ((b : R) • f i) := by haveI := Classical.propDecidable refine ⟨∏ i ∈ s, (sec M (f i)).2, fun i hi => ⟨?_, ?_⟩⟩ · exact (∏ j ∈ s.erase i, (sec M (f j)).2) * (sec M (f i)).1 rw [RingHom.map_mul, sec_spec', ← mul_assoc, ← (algebraMap R S).map_mul, ← Algebra.smul_def] congr 2 refine _root_.trans ?_ (map_prod (Submonoid.subtype M) _ _).symm rw [mul_comm,Submonoid.coe_finset_prod, -- Porting note: explicitly supplied `f` ← Finset.prod_insert (f := fun i => ((sec M (f i)).snd : R)) (s.not_mem_erase i), Finset.insert_erase hi] rfl #align is_localization.exist_integer_multiples IsLocalization.exist_integer_multiples theorem exist_integer_multiples_of_finite {ι : Type*} [Finite ι] (f : ι → S) : ∃ b : M, ∀ i, IsLocalization.IsInteger R ((b : R) • f i) := by cases nonempty_fintype ι obtain ⟨b, hb⟩ := exist_integer_multiples M Finset.univ f exact ⟨b, fun i => hb i (Finset.mem_univ _)⟩ #align is_localization.exist_integer_multiples_of_finite IsLocalization.exist_integer_multiples_of_finite theorem exist_integer_multiples_of_finset (s : Finset S) : ∃ b : M, ∀ a ∈ s, IsInteger R ((b : R) • a) := exist_integer_multiples M s id #align is_localization.exist_integer_multiples_of_finset IsLocalization.exist_integer_multiples_of_finset noncomputable def commonDenom {ι : Type*} (s : Finset ι) (f : ι → S) : M := (exist_integer_multiples M s f).choose #align is_localization.common_denom IsLocalization.commonDenom noncomputable def integerMultiple {ι : Type*} (s : Finset ι) (f : ι → S) (i : s) : R := ((exist_integer_multiples M s f).choose_spec i i.prop).choose #align is_localization.integer_multiple IsLocalization.integerMultiple @[simp] theorem map_integerMultiple {ι : Type*} (s : Finset ι) (f : ι → S) (i : s) : algebraMap R S (integerMultiple M s f i) = commonDenom M s f • f i := ((exist_integer_multiples M s f).choose_spec _ i.prop).choose_spec #align is_localization.map_integer_multiple IsLocalization.map_integerMultiple noncomputable def commonDenomOfFinset (s : Finset S) : M := commonDenom M s id #align is_localization.common_denom_of_finset IsLocalization.commonDenomOfFinset noncomputable def finsetIntegerMultiple [DecidableEq R] (s : Finset S) : Finset R := s.attach.image fun t => integerMultiple M s id t #align is_localization.finset_integer_multiple IsLocalization.finsetIntegerMultiple open Pointwise
Mathlib/RingTheory/Localization/Integer.lean
149
159
theorem finsetIntegerMultiple_image [DecidableEq R] (s : Finset S) : algebraMap R S '' finsetIntegerMultiple M s = commonDenomOfFinset M s • (s : Set S) := by
delta finsetIntegerMultiple commonDenom rw [Finset.coe_image] ext constructor · rintro ⟨_, ⟨x, -, rfl⟩, rfl⟩ rw [map_integerMultiple] exact Set.mem_image_of_mem _ x.prop · rintro ⟨x, hx, rfl⟩ exact ⟨_, ⟨⟨x, hx⟩, s.mem_attach _, rfl⟩, map_integerMultiple M s id _⟩
false
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Comp import Mathlib.Analysis.Calculus.FDeriv.RestrictScalars #align_import analysis.calculus.deriv.comp from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section CompositionVector open ContinuousLinearMap variable {l : F → E} {l' : F →L[𝕜] E} {y : F} variable (x) theorem HasFDerivWithinAt.comp_hasDerivWithinAt {t : Set F} (hl : HasFDerivWithinAt l l' t (f x)) (hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) : HasDerivWithinAt (l ∘ f) (l' f') s x := by simpa only [one_apply, one_smul, smulRight_apply, coe_comp', (· ∘ ·)] using (hl.comp x hf.hasFDerivWithinAt hst).hasDerivWithinAt #align has_fderiv_within_at.comp_has_deriv_within_at HasFDerivWithinAt.comp_hasDerivWithinAt theorem HasFDerivWithinAt.comp_hasDerivWithinAt_of_eq {t : Set F} (hl : HasFDerivWithinAt l l' t y) (hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) (hy : y = f x) : HasDerivWithinAt (l ∘ f) (l' f') s x := by rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf hst theorem HasFDerivAt.comp_hasDerivWithinAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivWithinAt f f' s x) : HasDerivWithinAt (l ∘ f) (l' f') s x := hl.hasFDerivWithinAt.comp_hasDerivWithinAt x hf (mapsTo_univ _ _) #align has_fderiv_at.comp_has_deriv_within_at HasFDerivAt.comp_hasDerivWithinAt theorem HasFDerivAt.comp_hasDerivWithinAt_of_eq (hl : HasFDerivAt l l' y) (hf : HasDerivWithinAt f f' s x) (hy : y = f x) : HasDerivWithinAt (l ∘ f) (l' f') s x := by rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf theorem HasFDerivAt.comp_hasDerivAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivAt f f' x) : HasDerivAt (l ∘ f) (l' f') x := hasDerivWithinAt_univ.mp <| hl.comp_hasDerivWithinAt x hf.hasDerivWithinAt #align has_fderiv_at.comp_has_deriv_at HasFDerivAt.comp_hasDerivAt theorem HasFDerivAt.comp_hasDerivAt_of_eq (hl : HasFDerivAt l l' y) (hf : HasDerivAt f f' x) (hy : y = f x) : HasDerivAt (l ∘ f) (l' f') x := by rw [hy] at hl; exact hl.comp_hasDerivAt x hf theorem HasStrictFDerivAt.comp_hasStrictDerivAt (hl : HasStrictFDerivAt l l' (f x)) (hf : HasStrictDerivAt f f' x) : HasStrictDerivAt (l ∘ f) (l' f') x := by simpa only [one_apply, one_smul, smulRight_apply, coe_comp', (· ∘ ·)] using (hl.comp x hf.hasStrictFDerivAt).hasStrictDerivAt #align has_strict_fderiv_at.comp_has_strict_deriv_at HasStrictFDerivAt.comp_hasStrictDerivAt
Mathlib/Analysis/Calculus/Deriv/Comp.lean
393
396
theorem HasStrictFDerivAt.comp_hasStrictDerivAt_of_eq (hl : HasStrictFDerivAt l l' y) (hf : HasStrictDerivAt f f' x) (hy : y = f x) : HasStrictDerivAt (l ∘ f) (l' f') x := by
rw [hy] at hl; exact hl.comp_hasStrictDerivAt x hf
false
import Mathlib.Data.Finset.Basic import Mathlib.ModelTheory.Syntax import Mathlib.Data.List.ProdSigma #align_import model_theory.semantics from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728" universe u v w u' v' namespace FirstOrder namespace Language variable {L : Language.{u, v}} {L' : Language} variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P] variable {α : Type u'} {β : Type v'} {γ : Type*} open FirstOrder Cardinal open Structure Cardinal Fin namespace Term -- Porting note: universes in different order def realize (v : α → M) : ∀ _t : L.Term α, M | var k => v k | func f ts => funMap f fun i => (ts i).realize v #align first_order.language.term.realize FirstOrder.Language.Term.realize @[simp] theorem realize_var (v : α → M) (k) : realize v (var k : L.Term α) = v k := rfl @[simp] theorem realize_func (v : α → M) {n} (f : L.Functions n) (ts) : realize v (func f ts : L.Term α) = funMap f fun i => (ts i).realize v := rfl @[simp] theorem realize_relabel {t : L.Term α} {g : α → β} {v : β → M} : (t.relabel g).realize v = t.realize (v ∘ g) := by induction' t with _ n f ts ih · rfl · simp [ih] #align first_order.language.term.realize_relabel FirstOrder.Language.Term.realize_relabel @[simp] theorem realize_liftAt {n n' m : ℕ} {t : L.Term (Sum α (Fin n))} {v : Sum α (Fin (n + n')) → M} : (t.liftAt n' m).realize v = t.realize (v ∘ Sum.map id fun i : Fin _ => if ↑i < m then Fin.castAdd n' i else Fin.addNat i n') := realize_relabel #align first_order.language.term.realize_lift_at FirstOrder.Language.Term.realize_liftAt @[simp] theorem realize_constants {c : L.Constants} {v : α → M} : c.term.realize v = c := funMap_eq_coe_constants #align first_order.language.term.realize_constants FirstOrder.Language.Term.realize_constants @[simp] theorem realize_functions_apply₁ {f : L.Functions 1} {t : L.Term α} {v : α → M} : (f.apply₁ t).realize v = funMap f ![t.realize v] := by rw [Functions.apply₁, Term.realize] refine congr rfl (funext fun i => ?_) simp only [Matrix.cons_val_fin_one] #align first_order.language.term.realize_functions_apply₁ FirstOrder.Language.Term.realize_functions_apply₁ @[simp] theorem realize_functions_apply₂ {f : L.Functions 2} {t₁ t₂ : L.Term α} {v : α → M} : (f.apply₂ t₁ t₂).realize v = funMap f ![t₁.realize v, t₂.realize v] := by rw [Functions.apply₂, Term.realize] refine congr rfl (funext (Fin.cases ?_ ?_)) · simp only [Matrix.cons_val_zero] · simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const] #align first_order.language.term.realize_functions_apply₂ FirstOrder.Language.Term.realize_functions_apply₂ theorem realize_con {A : Set M} {a : A} {v : α → M} : (L.con a).term.realize v = a := rfl #align first_order.language.term.realize_con FirstOrder.Language.Term.realize_con @[simp]
Mathlib/ModelTheory/Semantics.lean
130
134
theorem realize_subst {t : L.Term α} {tf : α → L.Term β} {v : β → M} : (t.subst tf).realize v = t.realize fun a => (tf a).realize v := by
induction' t with _ _ _ _ ih · rfl · simp [ih]
false
import Mathlib.Algebra.Order.AbsoluteValue import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax import Mathlib.Algebra.Ring.Pi import Mathlib.GroupTheory.GroupAction.Pi import Mathlib.GroupTheory.GroupAction.Ring import Mathlib.Init.Align import Mathlib.Tactic.GCongr import Mathlib.Tactic.Ring #align_import data.real.cau_seq from "leanprover-community/mathlib"@"9116dd6709f303dcf781632e15fdef382b0fc579" assert_not_exists Finset assert_not_exists Module assert_not_exists Submonoid assert_not_exists FloorRing variable {α β : Type*} open IsAbsoluteValue section variable [LinearOrderedField α] [Ring β] (abv : β → α) [IsAbsoluteValue abv] theorem rat_add_continuous_lemma {ε : α} (ε0 : 0 < ε) : ∃ δ > 0, ∀ {a₁ a₂ b₁ b₂ : β}, abv (a₁ - b₁) < δ → abv (a₂ - b₂) < δ → abv (a₁ + a₂ - (b₁ + b₂)) < ε := ⟨ε / 2, half_pos ε0, fun {a₁ a₂ b₁ b₂} h₁ h₂ => by simpa [add_halves, sub_eq_add_neg, add_comm, add_left_comm, add_assoc] using lt_of_le_of_lt (abv_add abv _ _) (add_lt_add h₁ h₂)⟩ #align rat_add_continuous_lemma rat_add_continuous_lemma
Mathlib/Algebra/Order/CauSeq/Basic.lean
58
71
theorem rat_mul_continuous_lemma {ε K₁ K₂ : α} (ε0 : 0 < ε) : ∃ δ > 0, ∀ {a₁ a₂ b₁ b₂ : β}, abv a₁ < K₁ → abv b₂ < K₂ → abv (a₁ - b₁) < δ → abv (a₂ - b₂) < δ → abv (a₁ * a₂ - b₁ * b₂) < ε := by
have K0 : (0 : α) < max 1 (max K₁ K₂) := lt_of_lt_of_le zero_lt_one (le_max_left _ _) have εK := div_pos (half_pos ε0) K0 refine ⟨_, εK, fun {a₁ a₂ b₁ b₂} ha₁ hb₂ h₁ h₂ => ?_⟩ replace ha₁ := lt_of_lt_of_le ha₁ (le_trans (le_max_left _ K₂) (le_max_right 1 _)) replace hb₂ := lt_of_lt_of_le hb₂ (le_trans (le_max_right K₁ _) (le_max_right 1 _)) set M := max 1 (max K₁ K₂) have : abv (a₁ - b₁) * abv b₂ + abv (a₂ - b₂) * abv a₁ < ε / 2 / M * M + ε / 2 / M * M := by gcongr rw [← abv_mul abv, mul_comm, div_mul_cancel₀ _ (ne_of_gt K0), ← abv_mul abv, add_halves] at this simpa [sub_eq_add_neg, mul_add, add_mul, add_left_comm] using lt_of_le_of_lt (abv_add abv _ _) this
false
import Mathlib.Algebra.Algebra.Hom import Mathlib.RingTheory.Ideal.Quotient #align_import algebra.ring_quot from "leanprover-community/mathlib"@"e5820f6c8fcf1b75bcd7738ae4da1c5896191f72" universe uR uS uT uA u₄ variable {R : Type uR} [Semiring R] variable {S : Type uS} [CommSemiring S] variable {T : Type uT} variable {A : Type uA} [Semiring A] [Algebra S A] namespace RingQuot inductive Rel (r : R → R → Prop) : R → R → Prop | of ⦃x y : R⦄ (h : r x y) : Rel r x y | add_left ⦃a b c⦄ : Rel r a b → Rel r (a + c) (b + c) | mul_left ⦃a b c⦄ : Rel r a b → Rel r (a * c) (b * c) | mul_right ⦃a b c⦄ : Rel r b c → Rel r (a * b) (a * c) #align ring_quot.rel RingQuot.Rel theorem Rel.add_right {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r b c) : Rel r (a + b) (a + c) := by rw [add_comm a b, add_comm a c] exact Rel.add_left h #align ring_quot.rel.add_right RingQuot.Rel.add_right theorem Rel.neg {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b : R⦄ (h : Rel r a b) : Rel r (-a) (-b) := by simp only [neg_eq_neg_one_mul a, neg_eq_neg_one_mul b, Rel.mul_right h] #align ring_quot.rel.neg RingQuot.Rel.neg
Mathlib/Algebra/RingQuot.lean
71
72
theorem Rel.sub_left {R : Type uR} [Ring R] {r : R → R → Prop} ⦃a b c : R⦄ (h : Rel r a b) : Rel r (a - c) (b - c) := by
simp only [sub_eq_add_neg, h.add_left]
false
import Mathlib.Algebra.Module.Zlattice.Basic import Mathlib.NumberTheory.NumberField.Embeddings import Mathlib.NumberTheory.NumberField.FractionalIdeal #align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30" variable (K : Type*) [Field K] namespace NumberField.mixedEmbedding open NumberField NumberField.InfinitePlace FiniteDimensional Finset local notation "E" K => ({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ) noncomputable def _root_.NumberField.mixedEmbedding : K →+* (E K) := RingHom.prod (Pi.ringHom fun w => embedding_of_isReal w.prop) (Pi.ringHom fun w => w.val.embedding) instance [NumberField K] : Nontrivial (E K) := by obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K)) obtain hw | hw := w.isReal_or_isComplex · have : Nonempty {w : InfinitePlace K // IsReal w} := ⟨⟨w, hw⟩⟩ exact nontrivial_prod_left · have : Nonempty {w : InfinitePlace K // IsComplex w} := ⟨⟨w, hw⟩⟩ exact nontrivial_prod_right protected theorem finrank [NumberField K] : finrank ℝ (E K) = finrank ℚ K := by classical rw [finrank_prod, finrank_pi, finrank_pi_fintype, Complex.finrank_real_complex, sum_const, card_univ, ← NrRealPlaces, ← NrComplexPlaces, ← card_real_embeddings, Algebra.id.smul_eq_mul, mul_comm, ← card_complex_embeddings, ← NumberField.Embeddings.card K ℂ, Fintype.card_subtype_compl, Nat.add_sub_of_le (Fintype.card_subtype_le _)] theorem _root_.NumberField.mixedEmbedding_injective [NumberField K] : Function.Injective (NumberField.mixedEmbedding K) := by exact RingHom.injective _ noncomputable section norm open scoped Classical variable {K} def normAtPlace (w : InfinitePlace K) : (E K) →*₀ ℝ where toFun x := if hw : IsReal w then ‖x.1 ⟨w, hw⟩‖ else ‖x.2 ⟨w, not_isReal_iff_isComplex.mp hw⟩‖ map_zero' := by simp map_one' := by simp map_mul' x y := by split_ifs <;> simp theorem normAtPlace_nonneg (w : InfinitePlace K) (x : E K) : 0 ≤ normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> exact norm_nonneg _ theorem normAtPlace_neg (w : InfinitePlace K) (x : E K) : normAtPlace w (- x) = normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> simp theorem normAtPlace_add_le (w : InfinitePlace K) (x y : E K) : normAtPlace w (x + y) ≤ normAtPlace w x + normAtPlace w y := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs <;> exact norm_add_le _ _ theorem normAtPlace_smul (w : InfinitePlace K) (x : E K) (c : ℝ) : normAtPlace w (c • x) = |c| * normAtPlace w x := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk] split_ifs · rw [Prod.smul_fst, Pi.smul_apply, norm_smul, Real.norm_eq_abs] · rw [Prod.smul_snd, Pi.smul_apply, norm_smul, Real.norm_eq_abs, Complex.norm_eq_abs] theorem normAtPlace_real (w : InfinitePlace K) (c : ℝ) : normAtPlace w ((fun _ ↦ c, fun _ ↦ c) : (E K)) = |c| := by rw [show ((fun _ ↦ c, fun _ ↦ c) : (E K)) = c • 1 by ext <;> simp, normAtPlace_smul, map_one, mul_one] theorem normAtPlace_apply_isReal {w : InfinitePlace K} (hw : IsReal w) (x : E K): normAtPlace w x = ‖x.1 ⟨w, hw⟩‖ := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, dif_pos] theorem normAtPlace_apply_isComplex {w : InfinitePlace K} (hw : IsComplex w) (x : E K) : normAtPlace w x = ‖x.2 ⟨w, hw⟩‖ := by rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, dif_neg (not_isReal_iff_isComplex.mpr hw)] @[simp] theorem normAtPlace_apply (w : InfinitePlace K) (x : K) : normAtPlace w (mixedEmbedding K x) = w x := by simp_rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk, mixedEmbedding, RingHom.prod_apply, Pi.ringHom_apply, norm_embedding_of_isReal, norm_embedding_eq, dite_eq_ite, ite_id]
Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean
302
308
theorem normAtPlace_eq_zero {x : E K} : (∀ w, normAtPlace w x = 0) ↔ x = 0 := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · ext w · exact norm_eq_zero'.mp (normAtPlace_apply_isReal w.prop _ ▸ h w.1) · exact norm_eq_zero'.mp (normAtPlace_apply_isComplex w.prop _ ▸ h w.1) · simp_rw [h, map_zero, implies_true]
false
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]
Mathlib/Analysis/BoxIntegral/Partition/Split.lean
84
85
theorem splitLower_eq_self : I.splitLower i x = I ↔ I.upper i ≤ x := by
simp [splitLower, update_eq_iff]
false
import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Asymptotics.Theta import Mathlib.Analysis.Normed.Order.Basic #align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Filter Function open Topology section NormedAddCommGroup variable {α β : Type*} [NormedAddCommGroup β] def IsEquivalent (l : Filter α) (u v : α → β) := (u - v) =o[l] v #align asymptotics.is_equivalent Asymptotics.IsEquivalent @[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v variable {u v w : α → β} {l : Filter α} theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h #align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v := (IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _) set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by convert h.isLittleO.right_isBigO_add simp set_option linter.uppercaseLean3 false in #align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v := ⟨h.isBigO, h.isBigO_symm⟩ theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u := ⟨h.isBigO_symm, h.isBigO⟩ @[refl] theorem IsEquivalent.refl : u ~[l] u := by rw [IsEquivalent, sub_self] exact isLittleO_zero _ _ #align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl @[symm] theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u := (h.isLittleO.trans_isBigO h.isBigO_symm).symm #align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm @[trans] theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) : u ~[l] w := (huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO #align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) : w ~[l] v := huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _) #align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) : u ~[l] w := (huv.symm.congr_left hvw).symm #align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by rw [IsEquivalent, sub_zero] exact isLittleO_zero_right_iff #align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero
Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean
133
136
theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩ rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem] exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
false
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.Div #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section NoZeroDivisors variable [CommSemiring R] [NoZeroDivisors R] {p q : R[X]} theorem irreducible_of_monic (hp : p.Monic) (hp1 : p ≠ 1) : Irreducible p ↔ ∀ f g : R[X], f.Monic → g.Monic → f * g = p → f = 1 ∨ g = 1 := by refine ⟨fun h f g hf hg hp => (h.2 f g hp.symm).imp hf.eq_one_of_isUnit hg.eq_one_of_isUnit, fun h => ⟨hp1 ∘ hp.eq_one_of_isUnit, fun f g hfg => (h (g * C f.leadingCoeff) (f * C g.leadingCoeff) ?_ ?_ ?_).symm.imp (isUnit_of_mul_eq_one f _) (isUnit_of_mul_eq_one g _)⟩⟩ · rwa [Monic, leadingCoeff_mul, leadingCoeff_C, ← leadingCoeff_mul, mul_comm, ← hfg, ← Monic] · rwa [Monic, leadingCoeff_mul, leadingCoeff_C, ← leadingCoeff_mul, ← hfg, ← Monic] · rw [mul_mul_mul_comm, ← C_mul, ← leadingCoeff_mul, ← hfg, hp.leadingCoeff, C_1, mul_one, mul_comm, ← hfg] #align polynomial.irreducible_of_monic Polynomial.irreducible_of_monic
Mathlib/Algebra/Polynomial/RingDivision.lean
259
265
theorem Monic.irreducible_iff_natDegree (hp : p.Monic) : Irreducible p ↔ p ≠ 1 ∧ ∀ f g : R[X], f.Monic → g.Monic → f * g = p → f.natDegree = 0 ∨ g.natDegree = 0 := by
by_cases hp1 : p = 1; · simp [hp1] rw [irreducible_of_monic hp hp1, and_iff_right hp1] refine forall₄_congr fun a b ha hb => ?_ rw [ha.natDegree_eq_zero_iff_eq_one, hb.natDegree_eq_zero_iff_eq_one]
false
import Mathlib.Order.Interval.Finset.Fin #align_import data.fintype.fin from "leanprover-community/mathlib"@"759575657f189ccb424b990164c8b1fa9f55cdfe" open Finset open Fintype namespace Fin variable {α β : Type*} {n : ℕ} theorem map_valEmbedding_univ : (Finset.univ : Finset (Fin n)).map Fin.valEmbedding = Iio n := by ext simp [orderIsoSubtype.symm.surjective.exists, OrderIso.symm] #align fin.map_subtype_embedding_univ Fin.map_valEmbedding_univ @[simp] theorem Ioi_zero_eq_map : Ioi (0 : Fin n.succ) = univ.map (Fin.succEmb _) := coe_injective <| by ext; simp [pos_iff_ne_zero] #align fin.Ioi_zero_eq_map Fin.Ioi_zero_eq_map @[simp] theorem Iio_last_eq_map : Iio (Fin.last n) = Finset.univ.map Fin.castSuccEmb := coe_injective <| by ext; simp [lt_def] #align fin.Iio_last_eq_map Fin.Iio_last_eq_map @[simp] theorem Ioi_succ (i : Fin n) : Ioi i.succ = (Ioi i).map (Fin.succEmb _) := by ext i simp only [mem_filter, mem_Ioi, mem_map, mem_univ, true_and_iff, Function.Embedding.coeFn_mk, exists_true_left] constructor · refine cases ?_ ?_ i · rintro ⟨⟨⟩⟩ · intro i hi exact ⟨i, succ_lt_succ_iff.mp hi, rfl⟩ · rintro ⟨i, hi, rfl⟩ simpa #align fin.Ioi_succ Fin.Ioi_succ @[simp] theorem Iio_castSucc (i : Fin n) : Iio (castSucc i) = (Iio i).map Fin.castSuccEmb := by apply Finset.map_injective Fin.valEmbedding rw [Finset.map_map, Fin.map_valEmbedding_Iio] exact (Fin.map_valEmbedding_Iio i).symm #align fin.Iio_cast_succ Fin.Iio_castSucc theorem card_filter_univ_succ' (p : Fin (n + 1) → Prop) [DecidablePred p] : (univ.filter p).card = ite (p 0) 1 0 + (univ.filter (p ∘ Fin.succ)).card := by rw [Fin.univ_succ, filter_cons, card_disjUnion, filter_map, card_map] split_ifs <;> simp #align fin.card_filter_univ_succ' Fin.card_filter_univ_succ' theorem card_filter_univ_succ (p : Fin (n + 1) → Prop) [DecidablePred p] : (univ.filter p).card = if p 0 then (univ.filter (p ∘ Fin.succ)).card + 1 else (univ.filter (p ∘ Fin.succ)).card := (card_filter_univ_succ' p).trans (by split_ifs <;> simp [add_comm 1]) #align fin.card_filter_univ_succ Fin.card_filter_univ_succ
Mathlib/Data/Fintype/Fin.lean
73
78
theorem card_filter_univ_eq_vector_get_eq_count [DecidableEq α] (a : α) (v : Vector α n) : (univ.filter fun i => a = v.get i).card = v.toList.count a := by
induction' v with n x xs hxs · simp · simp_rw [card_filter_univ_succ', Vector.get_cons_zero, Vector.toList_cons, Function.comp, Vector.get_cons_succ, hxs, List.count_cons, add_comm (ite (a = x) 1 0)]
false
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)]
Mathlib/CategoryTheory/EqToHom.lean
95
98
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
false