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import Mathlib.Combinatorics.Quiver.Cast import Mathlib.Combinatorics.Quiver.Symmetric import Mathlib.Data.Sigma.Basic import Mathlib.Logic.Equiv.Basic import Mathlib.Tactic.Common #align_import combinatorics.quiver.covering from "leanprover-community/mathlib"@"188a411e916e1119e502dbe35b8b475716362401" open Function Quiver universe u v w variable {U : Type _} [Quiver.{u + 1} U] {V : Type _} [Quiver.{v + 1} V] (φ : U ⥤q V) {W : Type _} [Quiver.{w + 1} W] (ψ : V ⥤q W) abbrev Quiver.Star (u : U) := Σ v : U, u ⟶ v #align quiver.star Quiver.Star protected abbrev Quiver.Star.mk {u v : U} (f : u ⟶ v) : Quiver.Star u := ⟨_, f⟩ #align quiver.star.mk Quiver.Star.mk abbrev Quiver.Costar (v : U) := Σ u : U, u ⟶ v #align quiver.costar Quiver.Costar protected abbrev Quiver.Costar.mk {u v : U} (f : u ⟶ v) : Quiver.Costar v := ⟨_, f⟩ #align quiver.costar.mk Quiver.Costar.mk @[simps] def Prefunctor.star (u : U) : Quiver.Star u → Quiver.Star (φ.obj u) := fun F => Quiver.Star.mk (φ.map F.2) #align prefunctor.star Prefunctor.star @[simps] def Prefunctor.costar (u : U) : Quiver.Costar u → Quiver.Costar (φ.obj u) := fun F => Quiver.Costar.mk (φ.map F.2) #align prefunctor.costar Prefunctor.costar @[simp] theorem Prefunctor.star_apply {u v : U} (e : u ⟶ v) : φ.star u (Quiver.Star.mk e) = Quiver.Star.mk (φ.map e) := rfl #align prefunctor.star_apply Prefunctor.star_apply @[simp] theorem Prefunctor.costar_apply {u v : U} (e : u ⟶ v) : φ.costar v (Quiver.Costar.mk e) = Quiver.Costar.mk (φ.map e) := rfl #align prefunctor.costar_apply Prefunctor.costar_apply theorem Prefunctor.star_comp (u : U) : (φ ⋙q ψ).star u = ψ.star (φ.obj u) ∘ φ.star u := rfl #align prefunctor.star_comp Prefunctor.star_comp theorem Prefunctor.costar_comp (u : U) : (φ ⋙q ψ).costar u = ψ.costar (φ.obj u) ∘ φ.costar u := rfl #align prefunctor.costar_comp Prefunctor.costar_comp protected structure Prefunctor.IsCovering : Prop where star_bijective : ∀ u, Bijective (φ.star u) costar_bijective : ∀ u, Bijective (φ.costar u) #align prefunctor.is_covering Prefunctor.IsCovering @[simp] theorem Prefunctor.IsCovering.map_injective (hφ : φ.IsCovering) {u v : U} : Injective fun f : u ⟶ v => φ.map f := by rintro f g he have : φ.star u (Quiver.Star.mk f) = φ.star u (Quiver.Star.mk g) := by simpa using he simpa using (hφ.star_bijective u).left this #align prefunctor.is_covering.map_injective Prefunctor.IsCovering.map_injective theorem Prefunctor.IsCovering.comp (hφ : φ.IsCovering) (hψ : ψ.IsCovering) : (φ ⋙q ψ).IsCovering := ⟨fun _ => (hψ.star_bijective _).comp (hφ.star_bijective _), fun _ => (hψ.costar_bijective _).comp (hφ.costar_bijective _)⟩ #align prefunctor.is_covering.comp Prefunctor.IsCovering.comp theorem Prefunctor.IsCovering.of_comp_right (hψ : ψ.IsCovering) (hφψ : (φ ⋙q ψ).IsCovering) : φ.IsCovering := ⟨fun _ => (Bijective.of_comp_iff' (hψ.star_bijective _) _).mp (hφψ.star_bijective _), fun _ => (Bijective.of_comp_iff' (hψ.costar_bijective _) _).mp (hφψ.costar_bijective _)⟩ #align prefunctor.is_covering.of_comp_right Prefunctor.IsCovering.of_comp_right
Mathlib/Combinatorics/Quiver/Covering.lean
132
136
theorem Prefunctor.IsCovering.of_comp_left (hφ : φ.IsCovering) (hφψ : (φ ⋙q ψ).IsCovering) (φsur : Surjective φ.obj) : ψ.IsCovering := by
refine ⟨fun v => ?_, fun v => ?_⟩ <;> obtain ⟨u, rfl⟩ := φsur v exacts [(Bijective.of_comp_iff _ (hφ.star_bijective u)).mp (hφψ.star_bijective u), (Bijective.of_comp_iff _ (hφ.costar_bijective u)).mp (hφψ.costar_bijective u)]
import Mathlib.Data.Set.Lattice import Mathlib.Order.Directed #align_import data.set.Union_lift from "leanprover-community/mathlib"@"5a4ea8453f128345f73cc656e80a49de2a54f481" variable {α : Type*} {ι β : Sort _} namespace Set section UnionLift @[nolint unusedArguments] noncomputable def iUnionLift (S : ι → Set α) (f : ∀ i, S i → β) (_ : ∀ (i j) (x : α) (hxi : x ∈ S i) (hxj : x ∈ S j), f i ⟨x, hxi⟩ = f j ⟨x, hxj⟩) (T : Set α) (hT : T ⊆ iUnion S) (x : T) : β := let i := Classical.indefiniteDescription _ (mem_iUnion.1 (hT x.prop)) f i ⟨x, i.prop⟩ #align set.Union_lift Set.iUnionLift variable {S : ι → Set α} {f : ∀ i, S i → β} {hf : ∀ (i j) (x : α) (hxi : x ∈ S i) (hxj : x ∈ S j), f i ⟨x, hxi⟩ = f j ⟨x, hxj⟩} {T : Set α} {hT : T ⊆ iUnion S} (hT' : T = iUnion S) @[simp] theorem iUnionLift_mk {i : ι} (x : S i) (hx : (x : α) ∈ T) : iUnionLift S f hf T hT ⟨x, hx⟩ = f i x := hf _ i x _ _ #align set.Union_lift_mk Set.iUnionLift_mk @[simp] theorem iUnionLift_inclusion {i : ι} (x : S i) (h : S i ⊆ T) : iUnionLift S f hf T hT (Set.inclusion h x) = f i x := iUnionLift_mk x _ #align set.Union_lift_inclusion Set.iUnionLift_inclusion theorem iUnionLift_of_mem (x : T) {i : ι} (hx : (x : α) ∈ S i) : iUnionLift S f hf T hT x = f i ⟨x, hx⟩ := by cases' x with x hx; exact hf _ _ _ _ _ #align set.Union_lift_of_mem Set.iUnionLift_of_mem theorem preimage_iUnionLift (t : Set β) : iUnionLift S f hf T hT ⁻¹' t = inclusion hT ⁻¹' (⋃ i, inclusion (subset_iUnion S i) '' (f i ⁻¹' t)) := by ext x simp only [mem_preimage, mem_iUnion, mem_image] constructor · rcases mem_iUnion.1 (hT x.prop) with ⟨i, hi⟩ refine fun h => ⟨i, ⟨x, hi⟩, ?_, rfl⟩ rwa [iUnionLift_of_mem x hi] at h · rintro ⟨i, ⟨y, hi⟩, h, hxy⟩ obtain rfl : y = x := congr_arg Subtype.val hxy rwa [iUnionLift_of_mem x hi]
Mathlib/Data/Set/UnionLift.lean
96
100
theorem iUnionLift_const (c : T) (ci : ∀ i, S i) (hci : ∀ i, (ci i : α) = c) (cβ : β) (h : ∀ i, f i (ci i) = cβ) : iUnionLift S f hf T hT c = cβ := by
let ⟨i, hi⟩ := Set.mem_iUnion.1 (hT c.prop) have : ci i = ⟨c, hi⟩ := Subtype.ext (hci i) rw [iUnionLift_of_mem _ hi, ← this, h]
import Mathlib.Topology.Category.TopCat.Opens import Mathlib.Data.Set.Subsingleton #align_import topology.category.Top.open_nhds from "leanprover-community/mathlib"@"1ec4876214bf9f1ddfbf97ae4b0d777ebd5d6938" open CategoryTheory TopologicalSpace Opposite universe u variable {X Y : TopCat.{u}} (f : X ⟶ Y) namespace TopologicalSpace def OpenNhds (x : X) := FullSubcategory fun U : Opens X => x ∈ U #align topological_space.open_nhds TopologicalSpace.OpenNhds namespace OpenNhds instance partialOrder (x : X) : PartialOrder (OpenNhds x) where le U V := U.1 ≤ V.1 le_refl _ := by dsimp [LE.le]; exact le_rfl le_trans _ _ _ := by dsimp [LE.le]; exact le_trans le_antisymm _ _ i j := FullSubcategory.ext _ _ <| le_antisymm i j instance (x : X) : Lattice (OpenNhds x) := { OpenNhds.partialOrder x with inf := fun U V => ⟨U.1 ⊓ V.1, ⟨U.2, V.2⟩⟩ le_inf := fun U V W => @le_inf _ _ U.1.1 V.1.1 W.1.1 inf_le_left := fun U V => @inf_le_left _ _ U.1.1 V.1.1 inf_le_right := fun U V => @inf_le_right _ _ U.1.1 V.1.1 sup := fun U V => ⟨U.1 ⊔ V.1, Set.mem_union_left V.1.1 U.2⟩ sup_le := fun U V W => @sup_le _ _ U.1.1 V.1.1 W.1.1 le_sup_left := fun U V => @le_sup_left _ _ U.1.1 V.1.1 le_sup_right := fun U V => @le_sup_right _ _ U.1.1 V.1.1 } instance (x : X) : OrderTop (OpenNhds x) where top := ⟨⊤, trivial⟩ le_top _ := by dsimp [LE.le]; exact le_top instance (x : X) : Inhabited (OpenNhds x) := ⟨⊤⟩ instance openNhdsCategory (x : X) : Category.{u} (OpenNhds x) := inferInstance #align topological_space.open_nhds.open_nhds_category TopologicalSpace.OpenNhds.openNhdsCategory instance opensNhdsHomHasCoeToFun {x : X} {U V : OpenNhds x} : CoeFun (U ⟶ V) fun _ => U.1 → V.1 := ⟨fun f x => ⟨x, f.le x.2⟩⟩ #align topological_space.open_nhds.opens_nhds_hom_has_coe_to_fun TopologicalSpace.OpenNhds.opensNhdsHomHasCoeToFun def infLELeft {x : X} (U V : OpenNhds x) : U ⊓ V ⟶ U := homOfLE inf_le_left #align topological_space.open_nhds.inf_le_left TopologicalSpace.OpenNhds.infLELeft def infLERight {x : X} (U V : OpenNhds x) : U ⊓ V ⟶ V := homOfLE inf_le_right #align topological_space.open_nhds.inf_le_right TopologicalSpace.OpenNhds.infLERight def inclusion (x : X) : OpenNhds x ⥤ Opens X := fullSubcategoryInclusion _ #align topological_space.open_nhds.inclusion TopologicalSpace.OpenNhds.inclusion @[simp] theorem inclusion_obj (x : X) (U) (p) : (inclusion x).obj ⟨U, p⟩ = U := rfl #align topological_space.open_nhds.inclusion_obj TopologicalSpace.OpenNhds.inclusion_obj theorem openEmbedding {x : X} (U : OpenNhds x) : OpenEmbedding U.1.inclusion := U.1.openEmbedding #align topological_space.open_nhds.open_embedding TopologicalSpace.OpenNhds.openEmbedding def map (x : X) : OpenNhds (f x) ⥤ OpenNhds x where obj U := ⟨(Opens.map f).obj U.1, U.2⟩ map i := (Opens.map f).map i #align topological_space.open_nhds.map TopologicalSpace.OpenNhds.map -- Porting note: Changed `⟨(Opens.map f).obj U, by tidy⟩` to `⟨(Opens.map f).obj U, q⟩` @[simp] theorem map_obj (x : X) (U) (q) : (map f x).obj ⟨U, q⟩ = ⟨(Opens.map f).obj U, q⟩ := rfl #align topological_space.open_nhds.map_obj TopologicalSpace.OpenNhds.map_obj @[simp] theorem map_id_obj (x : X) (U) : (map (𝟙 X) x).obj U = U := rfl #align topological_space.open_nhds.map_id_obj TopologicalSpace.OpenNhds.map_id_obj @[simp] theorem map_id_obj' (x : X) (U) (p) (q) : (map (𝟙 X) x).obj ⟨⟨U, p⟩, q⟩ = ⟨⟨U, p⟩, q⟩ := rfl #align topological_space.open_nhds.map_id_obj' TopologicalSpace.OpenNhds.map_id_obj' @[simp] theorem map_id_obj_unop (x : X) (U : (OpenNhds x)ᵒᵖ) : (map (𝟙 X) x).obj (unop U) = unop U := by simp #align topological_space.open_nhds.map_id_obj_unop TopologicalSpace.OpenNhds.map_id_obj_unop @[simp]
Mathlib/Topology/Category/TopCat/OpenNhds.lean
129
129
theorem op_map_id_obj (x : X) (U : (OpenNhds x)ᵒᵖ) : (map (𝟙 X) x).op.obj U = U := by
simp
import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.UniformEmbedding import Mathlib.Topology.UniformSpace.CompleteSeparated import Mathlib.Topology.UniformSpace.Compact import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Topology.DiscreteSubset import Mathlib.Tactic.Abel #align_import topology.algebra.uniform_group from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" noncomputable section open scoped Classical open Uniformity Topology Filter Pointwise section UniformGroup open Filter Set variable {α : Type*} {β : Type*} class UniformGroup (α : Type*) [UniformSpace α] [Group α] : Prop where uniformContinuous_div : UniformContinuous fun p : α × α => p.1 / p.2 #align uniform_group UniformGroup class UniformAddGroup (α : Type*) [UniformSpace α] [AddGroup α] : Prop where uniformContinuous_sub : UniformContinuous fun p : α × α => p.1 - p.2 #align uniform_add_group UniformAddGroup attribute [to_additive] UniformGroup @[to_additive] theorem UniformGroup.mk' {α} [UniformSpace α] [Group α] (h₁ : UniformContinuous fun p : α × α => p.1 * p.2) (h₂ : UniformContinuous fun p : α => p⁻¹) : UniformGroup α := ⟨by simpa only [div_eq_mul_inv] using h₁.comp (uniformContinuous_fst.prod_mk (h₂.comp uniformContinuous_snd))⟩ #align uniform_group.mk' UniformGroup.mk' #align uniform_add_group.mk' UniformAddGroup.mk' variable [UniformSpace α] [Group α] [UniformGroup α] @[to_additive] theorem uniformContinuous_div : UniformContinuous fun p : α × α => p.1 / p.2 := UniformGroup.uniformContinuous_div #align uniform_continuous_div uniformContinuous_div #align uniform_continuous_sub uniformContinuous_sub @[to_additive] theorem UniformContinuous.div [UniformSpace β] {f : β → α} {g : β → α} (hf : UniformContinuous f) (hg : UniformContinuous g) : UniformContinuous fun x => f x / g x := uniformContinuous_div.comp (hf.prod_mk hg) #align uniform_continuous.div UniformContinuous.div #align uniform_continuous.sub UniformContinuous.sub @[to_additive] theorem UniformContinuous.inv [UniformSpace β] {f : β → α} (hf : UniformContinuous f) : UniformContinuous fun x => (f x)⁻¹ := by have : UniformContinuous fun x => 1 / f x := uniformContinuous_const.div hf simp_all #align uniform_continuous.inv UniformContinuous.inv #align uniform_continuous.neg UniformContinuous.neg @[to_additive] theorem uniformContinuous_inv : UniformContinuous fun x : α => x⁻¹ := uniformContinuous_id.inv #align uniform_continuous_inv uniformContinuous_inv #align uniform_continuous_neg uniformContinuous_neg @[to_additive]
Mathlib/Topology/Algebra/UniformGroup.lean
103
106
theorem UniformContinuous.mul [UniformSpace β] {f : β → α} {g : β → α} (hf : UniformContinuous f) (hg : UniformContinuous g) : UniformContinuous fun x => f x * g x := by
have : UniformContinuous fun x => f x / (g x)⁻¹ := hf.div hg.inv simp_all
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Range #align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" assert_not_exists MonoidWithZero universe u v open Function namespace List variable {α : Type u} {β : Type v} section FoldrIdx -- Porting note: Changed argument order of `foldrIdxSpec` to align better with `foldrIdx`. def foldrIdxSpec (f : ℕ → α → β → β) (b : β) (as : List α) (start : ℕ) : β := foldr (uncurry f) b <| enumFrom start as #align list.foldr_with_index_aux_spec List.foldrIdxSpecₓ theorem foldrIdxSpec_cons (f : ℕ → α → β → β) (b a as start) : foldrIdxSpec f b (a :: as) start = f start a (foldrIdxSpec f b as (start + 1)) := rfl #align list.foldr_with_index_aux_spec_cons List.foldrIdxSpec_consₓ theorem foldrIdx_eq_foldrIdxSpec (f : ℕ → α → β → β) (b as start) : foldrIdx f b as start = foldrIdxSpec f b as start := by induction as generalizing start · rfl · simp only [foldrIdx, foldrIdxSpec_cons, *] #align list.foldr_with_index_aux_eq_foldr_with_index_aux_spec List.foldrIdx_eq_foldrIdxSpecₓ
Mathlib/Data/List/Indexes.lean
253
255
theorem foldrIdx_eq_foldr_enum (f : ℕ → α → β → β) (b : β) (as : List α) : foldrIdx f b as = foldr (uncurry f) b (enum as) := by
simp only [foldrIdx, foldrIdxSpec, foldrIdx_eq_foldrIdxSpec, enum]
import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.Localization.Integral #align_import ring_theory.integrally_closed from "leanprover-community/mathlib"@"d35b4ff446f1421bd551fafa4b8efd98ac3ac408" open scoped nonZeroDivisors Polynomial open Polynomial abbrev IsIntegrallyClosedIn (R A : Type*) [CommRing R] [CommRing A] [Algebra R A] := IsIntegralClosure R R A abbrev IsIntegrallyClosed (R : Type*) [CommRing R] := IsIntegrallyClosedIn R (FractionRing R) #align is_integrally_closed IsIntegrallyClosed section Iff variable {R : Type*} [CommRing R] variable {A B : Type*} [CommRing A] [CommRing B] [Algebra R A] [Algebra R B] theorem AlgHom.isIntegrallyClosedIn (f : A →ₐ[R] B) (hf : Function.Injective f) : IsIntegrallyClosedIn R B → IsIntegrallyClosedIn R A := by rintro ⟨inj, cl⟩ refine ⟨Function.Injective.of_comp (f := f) ?_, fun hx => ?_, ?_⟩ · convert inj aesop · obtain ⟨y, fx_eq⟩ := cl.mp ((isIntegral_algHom_iff f hf).mpr hx) aesop · rintro ⟨y, rfl⟩ apply (isIntegral_algHom_iff f hf).mp aesop theorem AlgEquiv.isIntegrallyClosedIn (e : A ≃ₐ[R] B) : IsIntegrallyClosedIn R A ↔ IsIntegrallyClosedIn R B := ⟨AlgHom.isIntegrallyClosedIn e.symm e.symm.injective, AlgHom.isIntegrallyClosedIn e e.injective⟩ variable (K : Type*) [CommRing K] [Algebra R K] [IsFractionRing R K] theorem isIntegrallyClosed_iff_isIntegrallyClosedIn : IsIntegrallyClosed R ↔ IsIntegrallyClosedIn R K := (IsLocalization.algEquiv R⁰ _ _).isIntegrallyClosedIn theorem isIntegrallyClosed_iff_isIntegralClosure : IsIntegrallyClosed R ↔ IsIntegralClosure R R K := isIntegrallyClosed_iff_isIntegrallyClosedIn K #align is_integrally_closed_iff_is_integral_closure isIntegrallyClosed_iff_isIntegralClosure theorem isIntegrallyClosedIn_iff {R A : Type*} [CommRing R] [CommRing A] [Algebra R A] : IsIntegrallyClosedIn R A ↔ Function.Injective (algebraMap R A) ∧ ∀ {x : A}, IsIntegral R x → ∃ y, algebraMap R A y = x := by constructor · rintro ⟨_, cl⟩ aesop · rintro ⟨inj, cl⟩ refine ⟨inj, by aesop, ?_⟩ rintro ⟨y, rfl⟩ apply isIntegral_algebraMap
Mathlib/RingTheory/IntegrallyClosed.lean
124
127
theorem isIntegrallyClosed_iff : IsIntegrallyClosed R ↔ ∀ {x : K}, IsIntegral R x → ∃ y, algebraMap R K y = x := by
simp [isIntegrallyClosed_iff_isIntegrallyClosedIn K, isIntegrallyClosedIn_iff, IsFractionRing.injective R K]
import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100] theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩ #align finset.mem_map_equiv Finset.mem_map_equiv -- The simpNF linter says that the LHS can be simplified via `Finset.mem_map`. -- However this is a higher priority lemma. -- https://github.com/leanprover/std4/issues/207 @[simp 1100, nolint simpNF] theorem mem_map' (f : α ↪ β) {a} {s : Finset α} : f a ∈ s.map f ↔ a ∈ s := mem_map_of_injective f.2 #align finset.mem_map' Finset.mem_map' theorem mem_map_of_mem (f : α ↪ β) {a} {s : Finset α} : a ∈ s → f a ∈ s.map f := (mem_map' _).2 #align finset.mem_map_of_mem Finset.mem_map_of_mem theorem forall_mem_map {f : α ↪ β} {s : Finset α} {p : ∀ a, a ∈ s.map f → Prop} : (∀ y (H : y ∈ s.map f), p y H) ↔ ∀ x (H : x ∈ s), p (f x) (mem_map_of_mem _ H) := ⟨fun h y hy => h (f y) (mem_map_of_mem _ hy), fun h x hx => by obtain ⟨y, hy, rfl⟩ := mem_map.1 hx exact h _ hy⟩ #align finset.forall_mem_map Finset.forall_mem_map theorem apply_coe_mem_map (f : α ↪ β) (s : Finset α) (x : s) : f x ∈ s.map f := mem_map_of_mem f x.prop #align finset.apply_coe_mem_map Finset.apply_coe_mem_map @[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : Finset α) : (s.map f : Set β) = f '' s := Set.ext (by simp only [mem_coe, mem_map, Set.mem_image, implies_true]) #align finset.coe_map Finset.coe_map theorem coe_map_subset_range (f : α ↪ β) (s : Finset α) : (s.map f : Set β) ⊆ Set.range f := calc ↑(s.map f) = f '' s := coe_map f s _ ⊆ Set.range f := Set.image_subset_range f ↑s #align finset.coe_map_subset_range Finset.coe_map_subset_range theorem map_perm {σ : Equiv.Perm α} (hs : { a | σ a ≠ a } ⊆ s) : s.map (σ : α ↪ α) = s := coe_injective <| (coe_map _ _).trans <| Set.image_perm hs #align finset.map_perm Finset.map_perm theorem map_toFinset [DecidableEq α] [DecidableEq β] {s : Multiset α} : s.toFinset.map f = (s.map f).toFinset := ext fun _ => by simp only [mem_map, Multiset.mem_map, exists_prop, Multiset.mem_toFinset] #align finset.map_to_finset Finset.map_toFinset @[simp] theorem map_refl : s.map (Embedding.refl _) = s := ext fun _ => by simpa only [mem_map, exists_prop] using exists_eq_right #align finset.map_refl Finset.map_refl @[simp] theorem map_cast_heq {α β} (h : α = β) (s : Finset α) : HEq (s.map (Equiv.cast h).toEmbedding) s := by subst h simp #align finset.map_cast_heq Finset.map_cast_heq theorem map_map (f : α ↪ β) (g : β ↪ γ) (s : Finset α) : (s.map f).map g = s.map (f.trans g) := eq_of_veq <| by simp only [map_val, Multiset.map_map]; rfl #align finset.map_map Finset.map_map
Mathlib/Data/Finset/Image.lean
151
153
theorem map_comm {β'} {f : β ↪ γ} {g : α ↪ β} {f' : α ↪ β'} {g' : β' ↪ γ} (h_comm : ∀ a, f (g a) = g' (f' a)) : (s.map g).map f = (s.map f').map g' := by
simp_rw [map_map, Embedding.trans, Function.comp, h_comm]
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.Topology.MetricSpace.Contracting #align_import analysis.ODE.picard_lindelof from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Function Set Metric TopologicalSpace intervalIntegral MeasureTheory open MeasureTheory.MeasureSpace (volume) open scoped Filter Topology NNReal ENNReal Nat Interval noncomputable section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] structure IsPicardLindelof {E : Type*} [NormedAddCommGroup E] (v : ℝ → E → E) (tMin t₀ tMax : ℝ) (x₀ : E) (L : ℝ≥0) (R C : ℝ) : Prop where ht₀ : t₀ ∈ Icc tMin tMax hR : 0 ≤ R lipschitz : ∀ t ∈ Icc tMin tMax, LipschitzOnWith L (v t) (closedBall x₀ R) cont : ∀ x ∈ closedBall x₀ R, ContinuousOn (fun t : ℝ => v t x) (Icc tMin tMax) norm_le : ∀ t ∈ Icc tMin tMax, ∀ x ∈ closedBall x₀ R, ‖v t x‖ ≤ C C_mul_le_R : (C : ℝ) * max (tMax - t₀) (t₀ - tMin) ≤ R #align is_picard_lindelof IsPicardLindelof structure PicardLindelof (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] where toFun : ℝ → E → E (tMin tMax : ℝ) t₀ : Icc tMin tMax x₀ : E (C R L : ℝ≥0) isPicardLindelof : IsPicardLindelof toFun tMin t₀ tMax x₀ L R C #align picard_lindelof PicardLindelof namespace PicardLindelof variable (v : PicardLindelof E) instance : CoeFun (PicardLindelof E) fun _ => ℝ → E → E := ⟨toFun⟩ instance : Inhabited (PicardLindelof E) := ⟨⟨0, 0, 0, ⟨0, le_rfl, le_rfl⟩, 0, 0, 0, 0, { ht₀ := by rw [Subtype.coe_mk, Icc_self]; exact mem_singleton _ hR := le_rfl lipschitz := fun t _ => (LipschitzWith.const 0).lipschitzOnWith _ cont := fun _ _ => by simpa only [Pi.zero_apply] using continuousOn_const norm_le := fun t _ x _ => norm_zero.le C_mul_le_R := (zero_mul _).le }⟩⟩ theorem tMin_le_tMax : v.tMin ≤ v.tMax := v.t₀.2.1.trans v.t₀.2.2 #align picard_lindelof.t_min_le_t_max PicardLindelof.tMin_le_tMax protected theorem nonempty_Icc : (Icc v.tMin v.tMax).Nonempty := nonempty_Icc.2 v.tMin_le_tMax #align picard_lindelof.nonempty_Icc PicardLindelof.nonempty_Icc protected theorem lipschitzOnWith {t} (ht : t ∈ Icc v.tMin v.tMax) : LipschitzOnWith v.L (v t) (closedBall v.x₀ v.R) := v.isPicardLindelof.lipschitz t ht #align picard_lindelof.lipschitz_on_with PicardLindelof.lipschitzOnWith protected theorem continuousOn : ContinuousOn (uncurry v) (Icc v.tMin v.tMax ×ˢ closedBall v.x₀ v.R) := have : ContinuousOn (uncurry (flip v)) (closedBall v.x₀ v.R ×ˢ Icc v.tMin v.tMax) := continuousOn_prod_of_continuousOn_lipschitzOnWith _ v.L v.isPicardLindelof.cont v.isPicardLindelof.lipschitz this.comp continuous_swap.continuousOn (preimage_swap_prod _ _).symm.subset #align picard_lindelof.continuous_on PicardLindelof.continuousOn theorem norm_le {t : ℝ} (ht : t ∈ Icc v.tMin v.tMax) {x : E} (hx : x ∈ closedBall v.x₀ v.R) : ‖v t x‖ ≤ v.C := v.isPicardLindelof.norm_le _ ht _ hx #align picard_lindelof.norm_le PicardLindelof.norm_le def tDist : ℝ := max (v.tMax - v.t₀) (v.t₀ - v.tMin) #align picard_lindelof.t_dist PicardLindelof.tDist theorem tDist_nonneg : 0 ≤ v.tDist := le_max_iff.2 <| Or.inl <| sub_nonneg.2 v.t₀.2.2 #align picard_lindelof.t_dist_nonneg PicardLindelof.tDist_nonneg
Mathlib/Analysis/ODE/PicardLindelof.lean
127
133
theorem dist_t₀_le (t : Icc v.tMin v.tMax) : dist t v.t₀ ≤ v.tDist := by
rw [Subtype.dist_eq, Real.dist_eq] rcases le_total t v.t₀ with ht | ht · rw [abs_of_nonpos (sub_nonpos.2 <| Subtype.coe_le_coe.2 ht), neg_sub] exact (sub_le_sub_left t.2.1 _).trans (le_max_right _ _) · rw [abs_of_nonneg (sub_nonneg.2 <| Subtype.coe_le_coe.2 ht)] exact (sub_le_sub_right t.2.2 _).trans (le_max_left _ _)
import Mathlib.Algebra.Ring.Parity import Mathlib.Combinatorics.SimpleGraph.Connectivity #align_import combinatorics.simple_graph.trails from "leanprover-community/mathlib"@"edaaaa4a5774e6623e0ddd919b2f2db49c65add4" namespace SimpleGraph variable {V : Type*} {G : SimpleGraph V} namespace Walk abbrev IsTrail.edgesFinset {u v : V} {p : G.Walk u v} (h : p.IsTrail) : Finset (Sym2 V) := ⟨p.edges, h.edges_nodup⟩ #align simple_graph.walk.is_trail.edges_finset SimpleGraph.Walk.IsTrail.edgesFinset variable [DecidableEq V] theorem IsTrail.even_countP_edges_iff {u v : V} {p : G.Walk u v} (ht : p.IsTrail) (x : V) : Even (p.edges.countP fun e => x ∈ e) ↔ u ≠ v → x ≠ u ∧ x ≠ v := by induction' p with u u v w huv p ih · simp · rw [cons_isTrail_iff] at ht specialize ih ht.1 simp only [List.countP_cons, Ne, edges_cons, Sym2.mem_iff] split_ifs with h · rw [decide_eq_true_eq] at h obtain (rfl | rfl) := h · rw [Nat.even_add_one, ih] simp only [huv.ne, imp_false, Ne, not_false_iff, true_and_iff, not_forall, Classical.not_not, exists_prop, eq_self_iff_true, not_true, false_and_iff, and_iff_right_iff_imp] rintro rfl rfl exact G.loopless _ huv · rw [Nat.even_add_one, ih, ← not_iff_not] simp only [huv.ne.symm, Ne, eq_self_iff_true, not_true, false_and_iff, not_forall, not_false_iff, exists_prop, and_true_iff, Classical.not_not, true_and_iff, iff_and_self] rintro rfl exact huv.ne · rw [decide_eq_true_eq, not_or] at h simp only [h.1, h.2, not_false_iff, true_and_iff, add_zero, Ne] at ih ⊢ rw [ih] constructor <;> · rintro h' h'' rfl simp only [imp_false, eq_self_iff_true, not_true, Classical.not_not] at h' cases h' simp only [not_true, and_false, false_and] at h #align simple_graph.walk.is_trail.even_countp_edges_iff SimpleGraph.Walk.IsTrail.even_countP_edges_iff def IsEulerian {u v : V} (p : G.Walk u v) : Prop := ∀ e, e ∈ G.edgeSet → p.edges.count e = 1 #align simple_graph.walk.is_eulerian SimpleGraph.Walk.IsEulerian theorem IsEulerian.isTrail {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : p.IsTrail := by rw [isTrail_def, List.nodup_iff_count_le_one] intro e by_cases he : e ∈ p.edges · exact (h e (edges_subset_edgeSet _ he)).le · simp [he] #align simple_graph.walk.is_eulerian.is_trail SimpleGraph.Walk.IsEulerian.isTrail theorem IsEulerian.mem_edges_iff {u v : V} {p : G.Walk u v} (h : p.IsEulerian) {e : Sym2 V} : e ∈ p.edges ↔ e ∈ G.edgeSet := ⟨ fun h => p.edges_subset_edgeSet h , fun he => by simpa [Nat.succ_le] using (h e he).ge ⟩ #align simple_graph.walk.is_eulerian.mem_edges_iff SimpleGraph.Walk.IsEulerian.mem_edges_iff def IsEulerian.fintypeEdgeSet {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : Fintype G.edgeSet := Fintype.ofFinset h.isTrail.edgesFinset fun e => by simp only [Finset.mem_mk, Multiset.mem_coe, h.mem_edges_iff] #align simple_graph.walk.is_eulerian.fintype_edge_set SimpleGraph.Walk.IsEulerian.fintypeEdgeSet theorem IsTrail.isEulerian_of_forall_mem {u v : V} {p : G.Walk u v} (h : p.IsTrail) (hc : ∀ e, e ∈ G.edgeSet → e ∈ p.edges) : p.IsEulerian := fun e he => List.count_eq_one_of_mem h.edges_nodup (hc e he) #align simple_graph.walk.is_trail.is_eulerian_of_forall_mem SimpleGraph.Walk.IsTrail.isEulerian_of_forall_mem theorem isEulerian_iff {u v : V} (p : G.Walk u v) : p.IsEulerian ↔ p.IsTrail ∧ ∀ e, e ∈ G.edgeSet → e ∈ p.edges := by constructor · intro h exact ⟨h.isTrail, fun _ => h.mem_edges_iff.mpr⟩ · rintro ⟨h, hl⟩ exact h.isEulerian_of_forall_mem hl #align simple_graph.walk.is_eulerian_iff SimpleGraph.Walk.isEulerian_iff
Mathlib/Combinatorics/SimpleGraph/Trails.lean
128
131
theorem IsEulerian.edgesFinset_eq [Fintype G.edgeSet] {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : h.isTrail.edgesFinset = G.edgeFinset := by
ext e simp [h.mem_edges_iff]
import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.normed_space.enorm from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" noncomputable section attribute [local instance] Classical.propDecidable open ENNReal structure ENorm (𝕜 : Type*) (V : Type*) [NormedField 𝕜] [AddCommGroup V] [Module 𝕜 V] where toFun : V → ℝ≥0∞ eq_zero' : ∀ x, toFun x = 0 → x = 0 map_add_le' : ∀ x y : V, toFun (x + y) ≤ toFun x + toFun y map_smul_le' : ∀ (c : 𝕜) (x : V), toFun (c • x) ≤ ‖c‖₊ * toFun x #align enorm ENorm namespace ENorm variable {𝕜 : Type*} {V : Type*} [NormedField 𝕜] [AddCommGroup V] [Module 𝕜 V] (e : ENorm 𝕜 V) -- Porting note: added to appease norm_cast complaints attribute [coe] ENorm.toFun instance : CoeFun (ENorm 𝕜 V) fun _ => V → ℝ≥0∞ := ⟨ENorm.toFun⟩ theorem coeFn_injective : Function.Injective ((↑) : ENorm 𝕜 V → V → ℝ≥0∞) := fun e₁ e₂ h => by cases e₁ cases e₂ congr #align enorm.coe_fn_injective ENorm.coeFn_injective @[ext] theorem ext {e₁ e₂ : ENorm 𝕜 V} (h : ∀ x, e₁ x = e₂ x) : e₁ = e₂ := coeFn_injective <| funext h #align enorm.ext ENorm.ext theorem ext_iff {e₁ e₂ : ENorm 𝕜 V} : e₁ = e₂ ↔ ∀ x, e₁ x = e₂ x := ⟨fun h _ => h ▸ rfl, ext⟩ #align enorm.ext_iff ENorm.ext_iff @[simp, norm_cast] theorem coe_inj {e₁ e₂ : ENorm 𝕜 V} : (e₁ : V → ℝ≥0∞) = e₂ ↔ e₁ = e₂ := coeFn_injective.eq_iff #align enorm.coe_inj ENorm.coe_inj @[simp] theorem map_smul (c : 𝕜) (x : V) : e (c • x) = ‖c‖₊ * e x := by apply le_antisymm (e.map_smul_le' c x) by_cases hc : c = 0 · simp [hc] calc (‖c‖₊ : ℝ≥0∞) * e x = ‖c‖₊ * e (c⁻¹ • c • x) := by rw [inv_smul_smul₀ hc] _ ≤ ‖c‖₊ * (‖c⁻¹‖₊ * e (c • x)) := mul_le_mul_left' (e.map_smul_le' _ _) _ _ = e (c • x) := by rw [← mul_assoc, nnnorm_inv, ENNReal.coe_inv, ENNReal.mul_inv_cancel _ ENNReal.coe_ne_top, one_mul] <;> simp [hc] #align enorm.map_smul ENorm.map_smul @[simp] theorem map_zero : e 0 = 0 := by rw [← zero_smul 𝕜 (0 : V), e.map_smul] norm_num #align enorm.map_zero ENorm.map_zero @[simp] theorem eq_zero_iff {x : V} : e x = 0 ↔ x = 0 := ⟨e.eq_zero' x, fun h => h.symm ▸ e.map_zero⟩ #align enorm.eq_zero_iff ENorm.eq_zero_iff @[simp] theorem map_neg (x : V) : e (-x) = e x := calc e (-x) = ‖(-1 : 𝕜)‖₊ * e x := by rw [← map_smul, neg_one_smul] _ = e x := by simp #align enorm.map_neg ENorm.map_neg theorem map_sub_rev (x y : V) : e (x - y) = e (y - x) := by rw [← neg_sub, e.map_neg] #align enorm.map_sub_rev ENorm.map_sub_rev theorem map_add_le (x y : V) : e (x + y) ≤ e x + e y := e.map_add_le' x y #align enorm.map_add_le ENorm.map_add_le
Mathlib/Analysis/NormedSpace/ENorm.lean
120
124
theorem map_sub_le (x y : V) : e (x - y) ≤ e x + e y := calc e (x - y) = e (x + -y) := by
rw [sub_eq_add_neg] _ ≤ e x + e (-y) := e.map_add_le x (-y) _ = e x + e y := by rw [e.map_neg]
import Mathlib.MeasureTheory.MeasurableSpace.Basic import Mathlib.Data.Set.MemPartition import Mathlib.Order.Filter.CountableSeparatingOn open Set MeasureTheory namespace MeasurableSpace variable {α β : Type*} class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b #align measurable_space.countably_generated MeasurableSpace.CountablyGenerated def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] : Set (Set α) := insert ∅ h.isCountablyGenerated.choose lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] : Set.Countable (countableGeneratingSet α) := Countable.insert _ h.isCountablyGenerated.choose_spec.1 lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] : generateFrom (countableGeneratingSet α) = m := (generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] : ∅ ∈ countableGeneratingSet α := mem_insert _ _ lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] : Set.Nonempty (countableGeneratingSet α) := ⟨∅, mem_insert _ _⟩ lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] {s : Set α} (hs : s ∈ countableGeneratingSet α) : MeasurableSet s := by rw [← generateFrom_countableGeneratingSet (α := α)] exact measurableSet_generateFrom hs def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) := enumerateCountable (countable_countableGeneratingSet (α := α)) ∅ lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α] [CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet, generateFrom_countableGeneratingSet] lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) : MeasurableSet (natGeneratingSequence α n) := measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _ empty_mem_countableGeneratingSet n theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) : @CountablyGenerated α (.comap f m) := by rcases h with ⟨⟨b, hbc, rfl⟩⟩ rw [comap_generateFrom] letI := generateFrom (preimage f '' b) exact ⟨_, hbc.image _, rfl⟩
Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean
103
107
theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁) (h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by
rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩ rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩ exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩
import Mathlib.Algebra.Group.Defs #align_import algebra.invertible from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422" assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered universe u variable {α : Type u} class Invertible [Mul α] [One α] (a : α) : Type u where invOf : α invOf_mul_self : invOf * a = 1 mul_invOf_self : a * invOf = 1 #align invertible Invertible prefix:max "⅟" =>-- This notation has the same precedence as `Inv.inv`. Invertible.invOf @[simp] theorem invOf_mul_self' [Mul α] [One α] (a : α) {_ : Invertible a} : ⅟ a * a = 1 := Invertible.invOf_mul_self theorem invOf_mul_self [Mul α] [One α] (a : α) [Invertible a] : ⅟ a * a = 1 := Invertible.invOf_mul_self #align inv_of_mul_self invOf_mul_self @[simp] theorem mul_invOf_self' [Mul α] [One α] (a : α) {_ : Invertible a} : a * ⅟ a = 1 := Invertible.mul_invOf_self theorem mul_invOf_self [Mul α] [One α] (a : α) [Invertible a] : a * ⅟ a = 1 := Invertible.mul_invOf_self #align mul_inv_of_self mul_invOf_self @[simp] theorem invOf_mul_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : ⅟ a * (a * b) = b := by rw [← mul_assoc, invOf_mul_self, one_mul] theorem invOf_mul_self_assoc [Monoid α] (a b : α) [Invertible a] : ⅟ a * (a * b) = b := by rw [← mul_assoc, invOf_mul_self, one_mul] #align inv_of_mul_self_assoc invOf_mul_self_assoc @[simp] theorem mul_invOf_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : a * (⅟ a * b) = b := by rw [← mul_assoc, mul_invOf_self, one_mul] theorem mul_invOf_self_assoc [Monoid α] (a b : α) [Invertible a] : a * (⅟ a * b) = b := by rw [← mul_assoc, mul_invOf_self, one_mul] #align mul_inv_of_self_assoc mul_invOf_self_assoc @[simp] theorem mul_invOf_mul_self_cancel' [Monoid α] (a b : α) {_ : Invertible b} : a * ⅟ b * b = a := by simp [mul_assoc] theorem mul_invOf_mul_self_cancel [Monoid α] (a b : α) [Invertible b] : a * ⅟ b * b = a := by simp [mul_assoc] #align mul_inv_of_mul_self_cancel mul_invOf_mul_self_cancel @[simp] theorem mul_mul_invOf_self_cancel' [Monoid α] (a b : α) {_ : Invertible b} : a * b * ⅟ b = a := by simp [mul_assoc] theorem mul_mul_invOf_self_cancel [Monoid α] (a b : α) [Invertible b] : a * b * ⅟ b = a := by simp [mul_assoc] #align mul_mul_inv_of_self_cancel mul_mul_invOf_self_cancel theorem invOf_eq_right_inv [Monoid α] {a b : α} [Invertible a] (hac : a * b = 1) : ⅟ a = b := left_inv_eq_right_inv (invOf_mul_self _) hac #align inv_of_eq_right_inv invOf_eq_right_inv theorem invOf_eq_left_inv [Monoid α] {a b : α} [Invertible a] (hac : b * a = 1) : ⅟ a = b := (left_inv_eq_right_inv hac (mul_invOf_self _)).symm #align inv_of_eq_left_inv invOf_eq_left_inv
Mathlib/Algebra/Group/Invertible/Defs.lean
156
159
theorem invertible_unique {α : Type u} [Monoid α] (a b : α) [Invertible a] [Invertible b] (h : a = b) : ⅟ a = ⅟ b := by
apply invOf_eq_right_inv rw [h, mul_invOf_self]
import Mathlib.Data.List.Lex import Mathlib.Data.Char import Mathlib.Tactic.AdaptationNote import Mathlib.Algebra.Order.Group.Nat #align_import data.string.basic from "leanprover-community/mathlib"@"d13b3a4a392ea7273dfa4727dbd1892e26cfd518" namespace String def ltb (s₁ s₂ : Iterator) : Bool := if s₂.hasNext then if s₁.hasNext then if s₁.curr = s₂.curr then ltb s₁.next s₂.next else s₁.curr < s₂.curr else true else false #align string.ltb String.ltb instance LT' : LT String := ⟨fun s₁ s₂ ↦ ltb s₁.iter s₂.iter⟩ #align string.has_lt' String.LT' instance decidableLT : @DecidableRel String (· < ·) := by simp only [LT'] infer_instance -- short-circuit type class inference #align string.decidable_lt String.decidableLT def ltb.inductionOn.{u} {motive : Iterator → Iterator → Sort u} (it₁ it₂ : Iterator) (ind : ∀ s₁ s₂ i₁ i₂, Iterator.hasNext ⟨s₂, i₂⟩ → Iterator.hasNext ⟨s₁, i₁⟩ → get s₁ i₁ = get s₂ i₂ → motive (Iterator.next ⟨s₁, i₁⟩) (Iterator.next ⟨s₂, i₂⟩) → motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩) (eq : ∀ s₁ s₂ i₁ i₂, Iterator.hasNext ⟨s₂, i₂⟩ → Iterator.hasNext ⟨s₁, i₁⟩ → ¬ get s₁ i₁ = get s₂ i₂ → motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩) (base₁ : ∀ s₁ s₂ i₁ i₂, Iterator.hasNext ⟨s₂, i₂⟩ → ¬ Iterator.hasNext ⟨s₁, i₁⟩ → motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩) (base₂ : ∀ s₁ s₂ i₁ i₂, ¬ Iterator.hasNext ⟨s₂, i₂⟩ → motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩) : motive it₁ it₂ := if h₂ : it₂.hasNext then if h₁ : it₁.hasNext then if heq : it₁.curr = it₂.curr then ind it₁.s it₂.s it₁.i it₂.i h₂ h₁ heq (inductionOn it₁.next it₂.next ind eq base₁ base₂) else eq it₁.s it₂.s it₁.i it₂.i h₂ h₁ heq else base₁ it₁.s it₂.s it₁.i it₂.i h₂ h₁ else base₂ it₁.s it₂.s it₁.i it₂.i h₂
Mathlib/Data/String/Basic.lean
60
74
theorem ltb_cons_addChar (c : Char) (cs₁ cs₂ : List Char) (i₁ i₂ : Pos) : ltb ⟨⟨c :: cs₁⟩, i₁ + c⟩ ⟨⟨c :: cs₂⟩, i₂ + c⟩ = ltb ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩ := by
apply ltb.inductionOn ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩ (motive := fun ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩ ↦ ltb ⟨⟨c :: cs₁⟩, i₁ + c⟩ ⟨⟨c :: cs₂⟩, i₂ + c⟩ = ltb ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩) <;> simp only <;> intro ⟨cs₁⟩ ⟨cs₂⟩ i₁ i₂ <;> intros <;> (conv => lhs; unfold ltb) <;> (conv => rhs; unfold ltb) <;> simp only [Iterator.hasNext_cons_addChar, ite_false, ite_true, *] · rename_i h₂ h₁ heq ih simp only [Iterator.next, next, heq, Iterator.curr, get_cons_addChar, ite_true] at ih ⊢ repeat rw [Pos.addChar_right_comm _ c] exact ih · rename_i h₂ h₁ hne simp [Iterator.curr, get_cons_addChar, hne]
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.inner_product_space.adjoint from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open RCLike open scoped ComplexConjugate variable {𝕜 E F G : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] [InnerProductSpace 𝕜 G] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open InnerProductSpace namespace ContinuousLinearMap variable [CompleteSpace E] [CompleteSpace G] -- Note: made noncomputable to stop excess compilation -- leanprover-community/mathlib4#7103 noncomputable def adjointAux : (E →L[𝕜] F) →L⋆[𝕜] F →L[𝕜] E := (ContinuousLinearMap.compSL _ _ _ _ _ ((toDual 𝕜 E).symm : NormedSpace.Dual 𝕜 E →L⋆[𝕜] E)).comp (toSesqForm : (E →L[𝕜] F) →L[𝕜] F →L⋆[𝕜] NormedSpace.Dual 𝕜 E) #align continuous_linear_map.adjoint_aux ContinuousLinearMap.adjointAux @[simp] theorem adjointAux_apply (A : E →L[𝕜] F) (x : F) : adjointAux A x = ((toDual 𝕜 E).symm : NormedSpace.Dual 𝕜 E → E) ((toSesqForm A) x) := rfl #align continuous_linear_map.adjoint_aux_apply ContinuousLinearMap.adjointAux_apply
Mathlib/Analysis/InnerProductSpace/Adjoint.lean
80
82
theorem adjointAux_inner_left (A : E →L[𝕜] F) (x : E) (y : F) : ⟪adjointAux A y, x⟫ = ⟪y, A x⟫ := by
rw [adjointAux_apply, toDual_symm_apply, toSesqForm_apply_coe, coe_comp', innerSL_apply_coe, Function.comp_apply]
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.Calculus.Deriv.Mul import Mathlib.Analysis.Calculus.Deriv.Shift import Mathlib.Analysis.Calculus.IteratedDeriv.Defs variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F] {n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F} theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) : iteratedDerivWithin n (f + g) s x = iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx, ContinuousMultilinearMap.add_apply] theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) : Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by induction n generalizing f g with | zero => rwa [iteratedDerivWithin_zero] | succ n IH => intro y hy have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this] exact derivWithin_congr (IH hfg) (IH hfg hy) theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) : iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne' rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx] refine iteratedDerivWithin_congr h ?_ hx intro y hy exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _ theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) : iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne' rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx] refine iteratedDerivWithin_congr h ?_ hx intro y hy have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy rw [derivWithin.neg this] exact derivWithin_const_sub this _ theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) : iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by simp_rw [iteratedDerivWithin] rw [iteratedFDerivWithin_const_smul_apply hf h hx] simp only [ContinuousMultilinearMap.smul_apply] theorem iteratedDerivWithin_const_mul (c : 𝕜) {f : 𝕜 → 𝕜} (hf : ContDiffOn 𝕜 n f s) : iteratedDerivWithin n (fun z => c * f z) s x = c * iteratedDerivWithin n f s x := by simpa using iteratedDerivWithin_const_smul (F := 𝕜) hx h c hf variable (f) in theorem iteratedDerivWithin_neg : iteratedDerivWithin n (-f) s x = -iteratedDerivWithin n f s x := by rw [iteratedDerivWithin, iteratedDerivWithin, iteratedFDerivWithin_neg_apply h hx, ContinuousMultilinearMap.neg_apply] variable (f) in theorem iteratedDerivWithin_neg' : iteratedDerivWithin n (fun z => -f z) s x = -iteratedDerivWithin n f s x := iteratedDerivWithin_neg hx h f theorem iteratedDerivWithin_sub (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) : iteratedDerivWithin n (f - g) s x = iteratedDerivWithin n f s x - iteratedDerivWithin n g s x := by rw [sub_eq_add_neg, sub_eq_add_neg, Pi.neg_def, iteratedDerivWithin_add hx h hf hg.neg, iteratedDerivWithin_neg' hx h]
Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean
85
100
theorem iteratedDeriv_const_smul {n : ℕ} {f : 𝕜 → F} (h : ContDiff 𝕜 n f) (c : 𝕜) : iteratedDeriv n (fun x => f (c * x)) = fun x => c ^ n • iteratedDeriv n f (c * x) := by
induction n with | zero => simp | succ n ih => funext x have h₀ : DifferentiableAt 𝕜 (iteratedDeriv n f) (c * x) := h.differentiable_iteratedDeriv n (Nat.cast_lt.mpr n.lt_succ_self) |>.differentiableAt have h₁ : DifferentiableAt 𝕜 (fun x => iteratedDeriv n f (c * x)) x := by rw [← Function.comp_def] apply DifferentiableAt.comp · exact h.differentiable_iteratedDeriv n (Nat.cast_lt.mpr n.lt_succ_self) |>.differentiableAt · exact differentiableAt_id'.const_mul _ rw [iteratedDeriv_succ, ih h.of_succ, deriv_const_smul _ h₁, iteratedDeriv_succ, ← Function.comp_def, deriv.scomp x h₀ (differentiableAt_id'.const_mul _), deriv_const_mul _ differentiableAt_id', deriv_id'', smul_smul, mul_one, pow_succ]
import Mathlib.Algebra.GroupWithZero.Divisibility import Mathlib.Algebra.Order.Ring.Nat import Mathlib.Tactic.NthRewrite #align_import data.nat.gcd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" namespace Nat theorem gcd_greatest {a b d : ℕ} (hda : d ∣ a) (hdb : d ∣ b) (hd : ∀ e : ℕ, e ∣ a → e ∣ b → e ∣ d) : d = a.gcd b := (dvd_antisymm (hd _ (gcd_dvd_left a b) (gcd_dvd_right a b)) (dvd_gcd hda hdb)).symm #align nat.gcd_greatest Nat.gcd_greatest @[simp] theorem gcd_add_mul_right_right (m n k : ℕ) : gcd m (n + k * m) = gcd m n := by simp [gcd_rec m (n + k * m), gcd_rec m n] #align nat.gcd_add_mul_right_right Nat.gcd_add_mul_right_right @[simp] theorem gcd_add_mul_left_right (m n k : ℕ) : gcd m (n + m * k) = gcd m n := by simp [gcd_rec m (n + m * k), gcd_rec m n] #align nat.gcd_add_mul_left_right Nat.gcd_add_mul_left_right @[simp] theorem gcd_mul_right_add_right (m n k : ℕ) : gcd m (k * m + n) = gcd m n := by simp [add_comm _ n] #align nat.gcd_mul_right_add_right Nat.gcd_mul_right_add_right @[simp] theorem gcd_mul_left_add_right (m n k : ℕ) : gcd m (m * k + n) = gcd m n := by simp [add_comm _ n] #align nat.gcd_mul_left_add_right Nat.gcd_mul_left_add_right @[simp] theorem gcd_add_mul_right_left (m n k : ℕ) : gcd (m + k * n) n = gcd m n := by rw [gcd_comm, gcd_add_mul_right_right, gcd_comm] #align nat.gcd_add_mul_right_left Nat.gcd_add_mul_right_left @[simp] theorem gcd_add_mul_left_left (m n k : ℕ) : gcd (m + n * k) n = gcd m n := by rw [gcd_comm, gcd_add_mul_left_right, gcd_comm] #align nat.gcd_add_mul_left_left Nat.gcd_add_mul_left_left @[simp] theorem gcd_mul_right_add_left (m n k : ℕ) : gcd (k * n + m) n = gcd m n := by rw [gcd_comm, gcd_mul_right_add_right, gcd_comm] #align nat.gcd_mul_right_add_left Nat.gcd_mul_right_add_left @[simp] theorem gcd_mul_left_add_left (m n k : ℕ) : gcd (n * k + m) n = gcd m n := by rw [gcd_comm, gcd_mul_left_add_right, gcd_comm] #align nat.gcd_mul_left_add_left Nat.gcd_mul_left_add_left @[simp] theorem gcd_add_self_right (m n : ℕ) : gcd m (n + m) = gcd m n := Eq.trans (by rw [one_mul]) (gcd_add_mul_right_right m n 1) #align nat.gcd_add_self_right Nat.gcd_add_self_right @[simp] theorem gcd_add_self_left (m n : ℕ) : gcd (m + n) n = gcd m n := by rw [gcd_comm, gcd_add_self_right, gcd_comm] #align nat.gcd_add_self_left Nat.gcd_add_self_left @[simp] theorem gcd_self_add_left (m n : ℕ) : gcd (m + n) m = gcd n m := by rw [add_comm, gcd_add_self_left] #align nat.gcd_self_add_left Nat.gcd_self_add_left @[simp] theorem gcd_self_add_right (m n : ℕ) : gcd m (m + n) = gcd m n := by rw [add_comm, gcd_add_self_right] #align nat.gcd_self_add_right Nat.gcd_self_add_right @[simp] theorem gcd_sub_self_left {m n : ℕ} (h : m ≤ n) : gcd (n - m) m = gcd n m := by calc gcd (n - m) m = gcd (n - m + m) m := by rw [← gcd_add_self_left (n - m) m] _ = gcd n m := by rw [Nat.sub_add_cancel h] @[simp] theorem gcd_sub_self_right {m n : ℕ} (h : m ≤ n) : gcd m (n - m) = gcd m n := by rw [gcd_comm, gcd_sub_self_left h, gcd_comm] @[simp] theorem gcd_self_sub_left {m n : ℕ} (h : m ≤ n) : gcd (n - m) n = gcd m n := by have := Nat.sub_add_cancel h rw [gcd_comm m n, ← this, gcd_add_self_left (n - m) m] have : gcd (n - m) n = gcd (n - m) m := by nth_rw 2 [← Nat.add_sub_cancel' h] rw [gcd_add_self_right, gcd_comm] convert this @[simp]
Mathlib/Data/Nat/GCD/Basic.lean
115
116
theorem gcd_self_sub_right {m n : ℕ} (h : m ≤ n) : gcd n (n - m) = gcd n m := by
rw [gcd_comm, gcd_self_sub_left h, gcd_comm]
import Mathlib.AlgebraicTopology.SimplexCategory import Mathlib.CategoryTheory.Comma.Arrow import Mathlib.CategoryTheory.Limits.FunctorCategory import Mathlib.CategoryTheory.Opposites #align_import algebraic_topology.simplicial_object from "leanprover-community/mathlib"@"5ed51dc37c6b891b79314ee11a50adc2b1df6fd6" open Opposite open CategoryTheory open CategoryTheory.Limits universe v u v' u' namespace CategoryTheory variable (C : Type u) [Category.{v} C] -- porting note (#5171): removed @[nolint has_nonempty_instance] def SimplicialObject := SimplexCategoryᵒᵖ ⥤ C #align category_theory.simplicial_object CategoryTheory.SimplicialObject @[simps!] instance : Category (SimplicialObject C) := by dsimp only [SimplicialObject] infer_instance namespace SimplicialObject set_option quotPrecheck false in scoped[Simplicial] notation3:1000 X " _[" n "]" => (X : CategoryTheory.SimplicialObject _).obj (Opposite.op (SimplexCategory.mk n)) open Simplicial instance {J : Type v} [SmallCategory J] [HasLimitsOfShape J C] : HasLimitsOfShape J (SimplicialObject C) := by dsimp [SimplicialObject] infer_instance instance [HasLimits C] : HasLimits (SimplicialObject C) := ⟨inferInstance⟩ instance {J : Type v} [SmallCategory J] [HasColimitsOfShape J C] : HasColimitsOfShape J (SimplicialObject C) := by dsimp [SimplicialObject] infer_instance instance [HasColimits C] : HasColimits (SimplicialObject C) := ⟨inferInstance⟩ variable {C} -- Porting note (#10688): added to ease automation @[ext] lemma hom_ext {X Y : SimplicialObject C} (f g : X ⟶ Y) (h : ∀ (n : SimplexCategoryᵒᵖ), f.app n = g.app n) : f = g := NatTrans.ext _ _ (by ext; apply h) variable (X : SimplicialObject C) def δ {n} (i : Fin (n + 2)) : X _[n + 1] ⟶ X _[n] := X.map (SimplexCategory.δ i).op #align category_theory.simplicial_object.δ CategoryTheory.SimplicialObject.δ def σ {n} (i : Fin (n + 1)) : X _[n] ⟶ X _[n + 1] := X.map (SimplexCategory.σ i).op #align category_theory.simplicial_object.σ CategoryTheory.SimplicialObject.σ def eqToIso {n m : ℕ} (h : n = m) : X _[n] ≅ X _[m] := X.mapIso (CategoryTheory.eqToIso (by congr)) #align category_theory.simplicial_object.eq_to_iso CategoryTheory.SimplicialObject.eqToIso @[simp] theorem eqToIso_refl {n : ℕ} (h : n = n) : X.eqToIso h = Iso.refl _ := by ext simp [eqToIso] #align category_theory.simplicial_object.eq_to_iso_refl CategoryTheory.SimplicialObject.eqToIso_refl @[reassoc] theorem δ_comp_δ {n} {i j : Fin (n + 2)} (H : i ≤ j) : X.δ j.succ ≫ X.δ i = X.δ (Fin.castSucc i) ≫ X.δ j := by dsimp [δ] simp only [← X.map_comp, ← op_comp, SimplexCategory.δ_comp_δ H] #align category_theory.simplicial_object.δ_comp_δ CategoryTheory.SimplicialObject.δ_comp_δ @[reassoc] theorem δ_comp_δ' {n} {i : Fin (n + 2)} {j : Fin (n + 3)} (H : Fin.castSucc i < j) : X.δ j ≫ X.δ i = X.δ (Fin.castSucc i) ≫ X.δ (j.pred fun (hj : j = 0) => by simp [hj, Fin.not_lt_zero] at H) := by dsimp [δ] simp only [← X.map_comp, ← op_comp, SimplexCategory.δ_comp_δ' H] #align category_theory.simplicial_object.δ_comp_δ' CategoryTheory.SimplicialObject.δ_comp_δ' @[reassoc] theorem δ_comp_δ'' {n} {i : Fin (n + 3)} {j : Fin (n + 2)} (H : i ≤ Fin.castSucc j) : X.δ j.succ ≫ X.δ (i.castLT (Nat.lt_of_le_of_lt (Fin.le_iff_val_le_val.mp H) j.is_lt)) = X.δ i ≫ X.δ j := by dsimp [δ] simp only [← X.map_comp, ← op_comp, SimplexCategory.δ_comp_δ'' H] #align category_theory.simplicial_object.δ_comp_δ'' CategoryTheory.SimplicialObject.δ_comp_δ'' @[reassoc] theorem δ_comp_δ_self {n} {i : Fin (n + 2)} : X.δ (Fin.castSucc i) ≫ X.δ i = X.δ i.succ ≫ X.δ i := by dsimp [δ] simp only [← X.map_comp, ← op_comp, SimplexCategory.δ_comp_δ_self] #align category_theory.simplicial_object.δ_comp_δ_self CategoryTheory.SimplicialObject.δ_comp_δ_self @[reassoc]
Mathlib/AlgebraicTopology/SimplicialObject.lean
138
141
theorem δ_comp_δ_self' {n} {j : Fin (n + 3)} {i : Fin (n + 2)} (H : j = Fin.castSucc i) : X.δ j ≫ X.δ i = X.δ i.succ ≫ X.δ i := by
subst H rw [δ_comp_δ_self]
import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Topology.ContinuousFunction.Basic import Mathlib.Analysis.Normed.Field.UnitBall #align_import analysis.complex.circle from "leanprover-community/mathlib"@"ad3dfaca9ea2465198bcf58aa114401c324e29d1" noncomputable section open Complex Metric open ComplexConjugate def circle : Submonoid ℂ := Submonoid.unitSphere ℂ #align circle circle @[simp] theorem mem_circle_iff_abs {z : ℂ} : z ∈ circle ↔ abs z = 1 := mem_sphere_zero_iff_norm #align mem_circle_iff_abs mem_circle_iff_abs theorem circle_def : ↑circle = { z : ℂ | abs z = 1 } := Set.ext fun _ => mem_circle_iff_abs #align circle_def circle_def @[simp] theorem abs_coe_circle (z : circle) : abs z = 1 := mem_circle_iff_abs.mp z.2 #align abs_coe_circle abs_coe_circle theorem mem_circle_iff_normSq {z : ℂ} : z ∈ circle ↔ normSq z = 1 := by simp [Complex.abs] #align mem_circle_iff_norm_sq mem_circle_iff_normSq @[simp] theorem normSq_eq_of_mem_circle (z : circle) : normSq z = 1 := by simp [normSq_eq_abs] #align norm_sq_eq_of_mem_circle normSq_eq_of_mem_circle theorem ne_zero_of_mem_circle (z : circle) : (z : ℂ) ≠ 0 := ne_zero_of_mem_unit_sphere z #align ne_zero_of_mem_circle ne_zero_of_mem_circle instance commGroup : CommGroup circle := Metric.sphere.commGroup @[simp] theorem coe_inv_circle (z : circle) : ↑z⁻¹ = (z : ℂ)⁻¹ := rfl #align coe_inv_circle coe_inv_circle
Mathlib/Analysis/Complex/Circle.lean
81
82
theorem coe_inv_circle_eq_conj (z : circle) : ↑z⁻¹ = conj (z : ℂ) := by
rw [coe_inv_circle, inv_def, normSq_eq_of_mem_circle, inv_one, ofReal_one, mul_one]
import Mathlib.Data.Finsupp.Defs #align_import data.finsupp.indicator from "leanprover-community/mathlib"@"842328d9df7e96fd90fc424e115679c15fb23a71" noncomputable section open Finset Function variable {ι α : Type*} namespace Finsupp variable [Zero α] {s : Finset ι} (f : ∀ i ∈ s, α) {i : ι} def indicator (s : Finset ι) (f : ∀ i ∈ s, α) : ι →₀ α where toFun i := haveI := Classical.decEq ι if H : i ∈ s then f i H else 0 support := haveI := Classical.decEq α (s.attach.filter fun i : s => f i.1 i.2 ≠ 0).map (Embedding.subtype _) mem_support_toFun i := by classical simp #align finsupp.indicator Finsupp.indicator theorem indicator_of_mem (hi : i ∈ s) (f : ∀ i ∈ s, α) : indicator s f i = f i hi := @dif_pos _ (id _) hi _ _ _ #align finsupp.indicator_of_mem Finsupp.indicator_of_mem theorem indicator_of_not_mem (hi : i ∉ s) (f : ∀ i ∈ s, α) : indicator s f i = 0 := @dif_neg _ (id _) hi _ _ _ #align finsupp.indicator_of_not_mem Finsupp.indicator_of_not_mem variable (s i) @[simp] theorem indicator_apply [DecidableEq ι] : indicator s f i = if hi : i ∈ s then f i hi else 0 := by simp only [indicator, ne_eq, coe_mk] congr #align finsupp.indicator_apply Finsupp.indicator_apply
Mathlib/Data/Finsupp/Indicator.lean
59
63
theorem indicator_injective : Injective fun f : ∀ i ∈ s, α => indicator s f := by
intro a b h ext i hi rw [← indicator_of_mem hi a, ← indicator_of_mem hi b] exact DFunLike.congr_fun h i
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply
Mathlib/RingTheory/Trace.lean
102
103
theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by
ext s; simp [trace_apply, LinearMap.trace, h]
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 [Semiring R] [NoZeroDivisors R] {p q : R[X]} instance : NoZeroDivisors R[X] where eq_zero_or_eq_zero_of_mul_eq_zero h := by rw [← leadingCoeff_eq_zero, ← leadingCoeff_eq_zero] refine eq_zero_or_eq_zero_of_mul_eq_zero ?_ rw [← leadingCoeff_zero, ← leadingCoeff_mul, h] theorem natDegree_mul (hp : p ≠ 0) (hq : q ≠ 0) : (p*q).natDegree = p.natDegree + q.natDegree := by rw [← Nat.cast_inj (R := WithBot ℕ), ← degree_eq_natDegree (mul_ne_zero hp hq), Nat.cast_add, ← degree_eq_natDegree hp, ← degree_eq_natDegree hq, degree_mul] #align polynomial.nat_degree_mul Polynomial.natDegree_mul theorem trailingDegree_mul : (p * q).trailingDegree = p.trailingDegree + q.trailingDegree := by by_cases hp : p = 0 · rw [hp, zero_mul, trailingDegree_zero, top_add] by_cases hq : q = 0 · rw [hq, mul_zero, trailingDegree_zero, add_top] · rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq, trailingDegree_eq_natTrailingDegree (mul_ne_zero hp hq), natTrailingDegree_mul hp hq] apply WithTop.coe_add #align polynomial.trailing_degree_mul Polynomial.trailingDegree_mul @[simp] theorem natDegree_pow (p : R[X]) (n : ℕ) : natDegree (p ^ n) = n * natDegree p := by classical obtain rfl | hp := eq_or_ne p 0 · obtain rfl | hn := eq_or_ne n 0 <;> simp [*] exact natDegree_pow' $ by rw [← leadingCoeff_pow, Ne, leadingCoeff_eq_zero]; exact pow_ne_zero _ hp #align polynomial.nat_degree_pow Polynomial.natDegree_pow theorem degree_le_mul_left (p : R[X]) (hq : q ≠ 0) : degree p ≤ degree (p * q) := by classical exact if hp : p = 0 then by simp only [hp, zero_mul, le_refl] else by rw [degree_mul, degree_eq_natDegree hp, degree_eq_natDegree hq]; exact WithBot.coe_le_coe.2 (Nat.le_add_right _ _) #align polynomial.degree_le_mul_left Polynomial.degree_le_mul_left
Mathlib/Algebra/Polynomial/RingDivision.lean
156
158
theorem natDegree_le_of_dvd {p q : R[X]} (h1 : p ∣ q) (h2 : q ≠ 0) : p.natDegree ≤ q.natDegree := by
rcases h1 with ⟨q, rfl⟩; rw [mul_ne_zero_iff] at h2 rw [natDegree_mul h2.1 h2.2]; exact Nat.le_add_right _ _
set_option autoImplicit true namespace Array @[simp] theorem extract_eq_nil_of_start_eq_end {a : Array α} : a.extract i i = #[] := by refine extract_empty_of_stop_le_start a ?h exact Nat.le_refl i theorem extract_append_left {a b : Array α} {i j : Nat} (h : j ≤ a.size) : (a ++ b).extract i j = a.extract i j := by apply ext · simp only [size_extract, size_append] omega · intro h1 h2 h3 rw [get_extract, get_append_left, get_extract]
Mathlib/Data/Array/ExtractLemmas.lean
29
38
theorem extract_append_right {a b : Array α} {i j : Nat} (h : a.size ≤ i) : (a ++ b).extract i j = b.extract (i - a.size) (j - a.size) := by
apply ext · rw [size_extract, size_extract, size_append] omega · intro k hi h2 rw [get_extract, get_extract, get_append_right (show size a ≤ i + k by omega)] congr omega
import Mathlib.Data.Multiset.FinsetOps import Mathlib.Data.Multiset.Fold #align_import data.multiset.lattice from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" namespace Multiset variable {α : Type*} section Sup -- can be defined with just `[Bot α]` where some lemmas hold without requiring `[OrderBot α]` variable [SemilatticeSup α] [OrderBot α] def sup (s : Multiset α) : α := s.fold (· ⊔ ·) ⊥ #align multiset.sup Multiset.sup @[simp] theorem sup_coe (l : List α) : sup (l : Multiset α) = l.foldr (· ⊔ ·) ⊥ := rfl #align multiset.sup_coe Multiset.sup_coe @[simp] theorem sup_zero : (0 : Multiset α).sup = ⊥ := fold_zero _ _ #align multiset.sup_zero Multiset.sup_zero @[simp] theorem sup_cons (a : α) (s : Multiset α) : (a ::ₘ s).sup = a ⊔ s.sup := fold_cons_left _ _ _ _ #align multiset.sup_cons Multiset.sup_cons @[simp] theorem sup_singleton {a : α} : ({a} : Multiset α).sup = a := sup_bot_eq _ #align multiset.sup_singleton Multiset.sup_singleton @[simp] theorem sup_add (s₁ s₂ : Multiset α) : (s₁ + s₂).sup = s₁.sup ⊔ s₂.sup := Eq.trans (by simp [sup]) (fold_add _ _ _ _ _) #align multiset.sup_add Multiset.sup_add @[simp] theorem sup_le {s : Multiset α} {a : α} : s.sup ≤ a ↔ ∀ b ∈ s, b ≤ a := Multiset.induction_on s (by simp) (by simp (config := { contextual := true }) [or_imp, forall_and]) #align multiset.sup_le Multiset.sup_le theorem le_sup {s : Multiset α} {a : α} (h : a ∈ s) : a ≤ s.sup := sup_le.1 le_rfl _ h #align multiset.le_sup Multiset.le_sup theorem sup_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₁.sup ≤ s₂.sup := sup_le.2 fun _ hb => le_sup (h hb) #align multiset.sup_mono Multiset.sup_mono variable [DecidableEq α] @[simp] theorem sup_dedup (s : Multiset α) : (dedup s).sup = s.sup := fold_dedup_idem _ _ _ #align multiset.sup_dedup Multiset.sup_dedup @[simp] theorem sup_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).sup = s₁.sup ⊔ s₂.sup := by rw [← sup_dedup, dedup_ext.2, sup_dedup, sup_add]; simp #align multiset.sup_ndunion Multiset.sup_ndunion @[simp] theorem sup_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).sup = s₁.sup ⊔ s₂.sup := by rw [← sup_dedup, dedup_ext.2, sup_dedup, sup_add]; simp #align multiset.sup_union Multiset.sup_union @[simp] theorem sup_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).sup = a ⊔ s.sup := by rw [← sup_dedup, dedup_ext.2, sup_dedup, sup_cons]; simp #align multiset.sup_ndinsert Multiset.sup_ndinsert
Mathlib/Data/Multiset/Lattice.lean
93
99
theorem nodup_sup_iff {α : Type*} [DecidableEq α] {m : Multiset (Multiset α)} : m.sup.Nodup ↔ ∀ a : Multiset α, a ∈ m → a.Nodup := by
-- Porting note: this was originally `apply m.induction_on`, which failed due to -- `failed to elaborate eliminator, expected type is not available` induction' m using Multiset.induction_on with _ _ h · simp · simp [h]
import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.Tactic.FieldSimp #align_import linear_algebra.affine_space.slope from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open AffineMap variable {k E PE : Type*} [Field k] [AddCommGroup E] [Module k E] [AddTorsor E PE] def slope (f : k → PE) (a b : k) : E := (b - a)⁻¹ • (f b -ᵥ f a) #align slope slope theorem slope_fun_def (f : k → PE) : slope f = fun a b => (b - a)⁻¹ • (f b -ᵥ f a) := rfl #align slope_fun_def slope_fun_def theorem slope_def_field (f : k → k) (a b : k) : slope f a b = (f b - f a) / (b - a) := (div_eq_inv_mul _ _).symm #align slope_def_field slope_def_field theorem slope_fun_def_field (f : k → k) (a : k) : slope f a = fun b => (f b - f a) / (b - a) := (div_eq_inv_mul _ _).symm #align slope_fun_def_field slope_fun_def_field @[simp] theorem slope_same (f : k → PE) (a : k) : (slope f a a : E) = 0 := by rw [slope, sub_self, inv_zero, zero_smul] #align slope_same slope_same theorem slope_def_module (f : k → E) (a b : k) : slope f a b = (b - a)⁻¹ • (f b - f a) := rfl #align slope_def_module slope_def_module @[simp] theorem sub_smul_slope (f : k → PE) (a b : k) : (b - a) • slope f a b = f b -ᵥ f a := by rcases eq_or_ne a b with (rfl | hne) · rw [sub_self, zero_smul, vsub_self] · rw [slope, smul_inv_smul₀ (sub_ne_zero.2 hne.symm)] #align sub_smul_slope sub_smul_slope theorem sub_smul_slope_vadd (f : k → PE) (a b : k) : (b - a) • slope f a b +ᵥ f a = f b := by rw [sub_smul_slope, vsub_vadd] #align sub_smul_slope_vadd sub_smul_slope_vadd @[simp] theorem slope_vadd_const (f : k → E) (c : PE) : (slope fun x => f x +ᵥ c) = slope f := by ext a b simp only [slope, vadd_vsub_vadd_cancel_right, vsub_eq_sub] #align slope_vadd_const slope_vadd_const @[simp]
Mathlib/LinearAlgebra/AffineSpace/Slope.lean
73
75
theorem slope_sub_smul (f : k → E) {a b : k} (h : a ≠ b) : slope (fun x => (x - a) • f x) a b = f b := by
simp [slope, inv_smul_smul₀ (sub_ne_zero.2 h.symm)]
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Ring.Nat import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.OrderOfElement import Mathlib.RingTheory.Fintype import Mathlib.Tactic.IntervalCases #align_import number_theory.lucas_lehmer from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" def mersenne (p : ℕ) : ℕ := 2 ^ p - 1 #align mersenne mersenne theorem strictMono_mersenne : StrictMono mersenne := fun m n h ↦ (Nat.sub_lt_sub_iff_right <| Nat.one_le_pow _ _ two_pos).2 <| by gcongr; norm_num1 @[simp] theorem mersenne_lt_mersenne {p q : ℕ} : mersenne p < mersenne q ↔ p < q := strictMono_mersenne.lt_iff_lt @[gcongr] protected alias ⟨_, GCongr.mersenne_lt_mersenne⟩ := mersenne_lt_mersenne @[simp] theorem mersenne_le_mersenne {p q : ℕ} : mersenne p ≤ mersenne q ↔ p ≤ q := strictMono_mersenne.le_iff_le @[gcongr] protected alias ⟨_, GCongr.mersenne_le_mersenne⟩ := mersenne_le_mersenne @[simp] theorem mersenne_zero : mersenne 0 = 0 := rfl @[simp] theorem mersenne_pos {p : ℕ} : 0 < mersenne p ↔ 0 < p := mersenne_lt_mersenne (p := 0) #align mersenne_pos mersenne_pos @[simp] theorem one_lt_mersenne {p : ℕ} : 1 < mersenne p ↔ 1 < p := mersenne_lt_mersenne (p := 1) @[simp] theorem succ_mersenne (k : ℕ) : mersenne k + 1 = 2 ^ k := by rw [mersenne, tsub_add_cancel_of_le] exact one_le_pow_of_one_le (by norm_num) k #align succ_mersenne succ_mersenne namespace LucasLehmer open Nat def s : ℕ → ℤ | 0 => 4 | i + 1 => s i ^ 2 - 2 #align lucas_lehmer.s LucasLehmer.s def sZMod (p : ℕ) : ℕ → ZMod (2 ^ p - 1) | 0 => 4 | i + 1 => sZMod p i ^ 2 - 2 #align lucas_lehmer.s_zmod LucasLehmer.sZMod def sMod (p : ℕ) : ℕ → ℤ | 0 => 4 % (2 ^ p - 1) | i + 1 => (sMod p i ^ 2 - 2) % (2 ^ p - 1) #align lucas_lehmer.s_mod LucasLehmer.sMod theorem mersenne_int_pos {p : ℕ} (hp : p ≠ 0) : (0 : ℤ) < 2 ^ p - 1 := sub_pos.2 <| mod_cast Nat.one_lt_two_pow hp theorem mersenne_int_ne_zero (p : ℕ) (hp : p ≠ 0) : (2 ^ p - 1 : ℤ) ≠ 0 := (mersenne_int_pos hp).ne' #align lucas_lehmer.mersenne_int_ne_zero LucasLehmer.mersenne_int_ne_zero theorem sMod_nonneg (p : ℕ) (hp : p ≠ 0) (i : ℕ) : 0 ≤ sMod p i := by cases i <;> dsimp [sMod] · exact sup_eq_right.mp rfl · apply Int.emod_nonneg exact mersenne_int_ne_zero p hp #align lucas_lehmer.s_mod_nonneg LucasLehmer.sMod_nonneg theorem sMod_mod (p i : ℕ) : sMod p i % (2 ^ p - 1) = sMod p i := by cases i <;> simp [sMod] #align lucas_lehmer.s_mod_mod LucasLehmer.sMod_mod
Mathlib/NumberTheory/LucasLehmer.lean
148
151
theorem sMod_lt (p : ℕ) (hp : p ≠ 0) (i : ℕ) : sMod p i < 2 ^ p - 1 := by
rw [← sMod_mod] refine (Int.emod_lt _ (mersenne_int_ne_zero p hp)).trans_eq ?_ exact abs_of_nonneg (mersenne_int_pos hp).le
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse #align_import linear_algebra.symplectic_group from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open Matrix variable {l R : Type*} namespace Matrix variable (l) [DecidableEq l] (R) [CommRing R] section JMatrixLemmas def J : Matrix (Sum l l) (Sum l l) R := Matrix.fromBlocks 0 (-1) 1 0 set_option linter.uppercaseLean3 false in #align matrix.J Matrix.J @[simp] theorem J_transpose : (J l R)ᵀ = -J l R := by rw [J, fromBlocks_transpose, ← neg_one_smul R (fromBlocks _ _ _ _ : Matrix (l ⊕ l) (l ⊕ l) R), fromBlocks_smul, Matrix.transpose_zero, Matrix.transpose_one, transpose_neg] simp [fromBlocks] set_option linter.uppercaseLean3 false in #align matrix.J_transpose Matrix.J_transpose variable [Fintype l] theorem J_squared : J l R * J l R = -1 := by rw [J, fromBlocks_multiply] simp only [Matrix.zero_mul, Matrix.neg_mul, zero_add, neg_zero, Matrix.one_mul, add_zero] rw [← neg_zero, ← Matrix.fromBlocks_neg, ← fromBlocks_one] set_option linter.uppercaseLean3 false in #align matrix.J_squared Matrix.J_squared theorem J_inv : (J l R)⁻¹ = -J l R := by refine Matrix.inv_eq_right_inv ?_ rw [Matrix.mul_neg, J_squared] exact neg_neg 1 set_option linter.uppercaseLean3 false in #align matrix.J_inv Matrix.J_inv
Mathlib/LinearAlgebra/SymplecticGroup.lean
66
70
theorem J_det_mul_J_det : det (J l R) * det (J l R) = 1 := by
rw [← det_mul, J_squared, ← one_smul R (-1 : Matrix _ _ R), smul_neg, ← neg_smul, det_smul, Fintype.card_sum, det_one, mul_one] apply Even.neg_one_pow exact even_add_self _
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Function import Mathlib.Tactic.FieldSimp #align_import analysis.convex.jensen from "leanprover-community/mathlib"@"bfad3f455b388fbcc14c49d0cac884f774f14d20" open Finset LinearMap Set open scoped Classical open Convex Pointwise variable {𝕜 E F β ι : Type*} section Jensen variable [LinearOrderedField 𝕜] [AddCommGroup E] [OrderedAddCommGroup β] [Module 𝕜 E] [Module 𝕜 β] [OrderedSMul 𝕜 β] {s : Set E} {f : E → β} {t : Finset ι} {w : ι → 𝕜} {p : ι → E} {v : 𝕜} {q : E}
Mathlib/Analysis/Convex/Jensen.lean
52
58
theorem ConvexOn.map_centerMass_le (hf : ConvexOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : 0 < ∑ i ∈ t, w i) (hmem : ∀ i ∈ t, p i ∈ s) : f (t.centerMass w p) ≤ t.centerMass w (f ∘ p) := by
have hmem' : ∀ i ∈ t, (p i, (f ∘ p) i) ∈ { p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2 } := fun i hi => ⟨hmem i hi, le_rfl⟩ convert (hf.convex_epigraph.centerMass_mem h₀ h₁ hmem').2 <;> simp only [centerMass, Function.comp, Prod.smul_fst, Prod.fst_sum, Prod.smul_snd, Prod.snd_sum]
import Mathlib.Analysis.Calculus.ContDiff.Bounds import Mathlib.Analysis.Calculus.IteratedDeriv.Defs import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.LocallyConvex.WithSeminorms import Mathlib.Analysis.Normed.Group.ZeroAtInfty import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Analysis.SpecialFunctions.JapaneseBracket import Mathlib.Topology.Algebra.UniformFilterBasis import Mathlib.Tactic.MoveAdd #align_import analysis.schwartz_space from "leanprover-community/mathlib"@"e137999b2c6f2be388f4cd3bbf8523de1910cd2b" noncomputable section open scoped Nat NNReal variable {𝕜 𝕜' D E F G V : Type*} variable [NormedAddCommGroup E] [NormedSpace ℝ E] variable [NormedAddCommGroup F] [NormedSpace ℝ F] variable (E F) structure SchwartzMap where toFun : E → F smooth' : ContDiff ℝ ⊤ toFun decay' : ∀ k n : ℕ, ∃ C : ℝ, ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n toFun x‖ ≤ C #align schwartz_map SchwartzMap scoped[SchwartzMap] notation "𝓢(" E ", " F ")" => SchwartzMap E F variable {E F} namespace SchwartzMap -- Porting note: removed -- instance : Coe 𝓢(E, F) (E → F) := ⟨toFun⟩ instance instFunLike : FunLike 𝓢(E, F) E F where coe f := f.toFun coe_injective' f g h := by cases f; cases g; congr #align schwartz_map.fun_like SchwartzMap.instFunLike instance instCoeFun : CoeFun 𝓢(E, F) fun _ => E → F := DFunLike.hasCoeToFun #align schwartz_map.has_coe_to_fun SchwartzMap.instCoeFun theorem decay (f : 𝓢(E, F)) (k n : ℕ) : ∃ C : ℝ, 0 < C ∧ ∀ x, ‖x‖ ^ k * ‖iteratedFDeriv ℝ n f x‖ ≤ C := by rcases f.decay' k n with ⟨C, hC⟩ exact ⟨max C 1, by positivity, fun x => (hC x).trans (le_max_left _ _)⟩ #align schwartz_map.decay SchwartzMap.decay theorem smooth (f : 𝓢(E, F)) (n : ℕ∞) : ContDiff ℝ n f := f.smooth'.of_le le_top #align schwartz_map.smooth SchwartzMap.smooth @[continuity] protected theorem continuous (f : 𝓢(E, F)) : Continuous f := (f.smooth 0).continuous #align schwartz_map.continuous SchwartzMap.continuous instance instContinuousMapClass : ContinuousMapClass 𝓢(E, F) E F where map_continuous := SchwartzMap.continuous protected theorem differentiable (f : 𝓢(E, F)) : Differentiable ℝ f := (f.smooth 1).differentiable rfl.le #align schwartz_map.differentiable SchwartzMap.differentiable protected theorem differentiableAt (f : 𝓢(E, F)) {x : E} : DifferentiableAt ℝ f x := f.differentiable.differentiableAt #align schwartz_map.differentiable_at SchwartzMap.differentiableAt @[ext] theorem ext {f g : 𝓢(E, F)} (h : ∀ x, (f : E → F) x = g x) : f = g := DFunLike.ext f g h #align schwartz_map.ext SchwartzMap.ext section IsBigO open Asymptotics Filter variable (f : 𝓢(E, F)) theorem isBigO_cocompact_zpow_neg_nat (k : ℕ) : f =O[cocompact E] fun x => ‖x‖ ^ (-k : ℤ) := by obtain ⟨d, _, hd'⟩ := f.decay k 0 simp only [norm_iteratedFDeriv_zero] at hd' simp_rw [Asymptotics.IsBigO, Asymptotics.IsBigOWith] refine ⟨d, Filter.Eventually.filter_mono Filter.cocompact_le_cofinite ?_⟩ refine (Filter.eventually_cofinite_ne 0).mono fun x hx => ?_ rw [Real.norm_of_nonneg (zpow_nonneg (norm_nonneg _) _), zpow_neg, ← div_eq_mul_inv, le_div_iff'] exacts [hd' x, zpow_pos_of_pos (norm_pos_iff.mpr hx) _] set_option linter.uppercaseLean3 false in #align schwartz_map.is_O_cocompact_zpow_neg_nat SchwartzMap.isBigO_cocompact_zpow_neg_nat theorem isBigO_cocompact_rpow [ProperSpace E] (s : ℝ) : f =O[cocompact E] fun x => ‖x‖ ^ s := by let k := ⌈-s⌉₊ have hk : -(k : ℝ) ≤ s := neg_le.mp (Nat.le_ceil (-s)) refine (isBigO_cocompact_zpow_neg_nat f k).trans ?_ suffices (fun x : ℝ => x ^ (-k : ℤ)) =O[atTop] fun x : ℝ => x ^ s from this.comp_tendsto tendsto_norm_cocompact_atTop simp_rw [Asymptotics.IsBigO, Asymptotics.IsBigOWith] refine ⟨1, (Filter.eventually_ge_atTop 1).mono fun x hx => ?_⟩ rw [one_mul, Real.norm_of_nonneg (Real.rpow_nonneg (zero_le_one.trans hx) _), Real.norm_of_nonneg (zpow_nonneg (zero_le_one.trans hx) _), ← Real.rpow_intCast, Int.cast_neg, Int.cast_natCast] exact Real.rpow_le_rpow_of_exponent_le hx hk set_option linter.uppercaseLean3 false in #align schwartz_map.is_O_cocompact_rpow SchwartzMap.isBigO_cocompact_rpow
Mathlib/Analysis/Distribution/SchwartzSpace.lean
173
175
theorem isBigO_cocompact_zpow [ProperSpace E] (k : ℤ) : f =O[cocompact E] fun x => ‖x‖ ^ k := by
simpa only [Real.rpow_intCast] using isBigO_cocompact_rpow f k
import Mathlib.Topology.ContinuousOn #align_import topology.algebra.order.left_right from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Set Filter Topology section TopologicalSpace variable {α β : Type*} [TopologicalSpace α] [LinearOrder α] [TopologicalSpace β] theorem nhds_left_sup_nhds_right (a : α) : 𝓝[≤] a ⊔ 𝓝[≥] a = 𝓝 a := by rw [← nhdsWithin_union, Iic_union_Ici, nhdsWithin_univ] #align nhds_left_sup_nhds_right nhds_left_sup_nhds_right theorem nhds_left'_sup_nhds_right (a : α) : 𝓝[<] a ⊔ 𝓝[≥] a = 𝓝 a := by rw [← nhdsWithin_union, Iio_union_Ici, nhdsWithin_univ] #align nhds_left'_sup_nhds_right nhds_left'_sup_nhds_right theorem nhds_left_sup_nhds_right' (a : α) : 𝓝[≤] a ⊔ 𝓝[>] a = 𝓝 a := by rw [← nhdsWithin_union, Iic_union_Ioi, nhdsWithin_univ] #align nhds_left_sup_nhds_right' nhds_left_sup_nhds_right' theorem nhds_left'_sup_nhds_right' (a : α) : 𝓝[<] a ⊔ 𝓝[>] a = 𝓝[≠] a := by rw [← nhdsWithin_union, Iio_union_Ioi] #align nhds_left'_sup_nhds_right' nhds_left'_sup_nhds_right'
Mathlib/Topology/Order/LeftRight.lean
127
129
theorem continuousAt_iff_continuous_left_right {a : α} {f : α → β} : ContinuousAt f a ↔ ContinuousWithinAt f (Iic a) a ∧ ContinuousWithinAt f (Ici a) a := by
simp only [ContinuousWithinAt, ContinuousAt, ← tendsto_sup, nhds_left_sup_nhds_right]
import Mathlib.Algebra.Algebra.Defs import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.RingTheory.Localization.Basic import Mathlib.SetTheory.Game.Birthday import Mathlib.SetTheory.Surreal.Basic #align_import set_theory.surreal.dyadic from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" universe u namespace SetTheory namespace PGame def powHalf : ℕ → PGame | 0 => 1 | n + 1 => ⟨PUnit, PUnit, 0, fun _ => powHalf n⟩ #align pgame.pow_half SetTheory.PGame.powHalf @[simp] theorem powHalf_zero : powHalf 0 = 1 := rfl #align pgame.pow_half_zero SetTheory.PGame.powHalf_zero theorem powHalf_leftMoves (n) : (powHalf n).LeftMoves = PUnit := by cases n <;> rfl #align pgame.pow_half_left_moves SetTheory.PGame.powHalf_leftMoves theorem powHalf_zero_rightMoves : (powHalf 0).RightMoves = PEmpty := rfl #align pgame.pow_half_zero_right_moves SetTheory.PGame.powHalf_zero_rightMoves theorem powHalf_succ_rightMoves (n) : (powHalf (n + 1)).RightMoves = PUnit := rfl #align pgame.pow_half_succ_right_moves SetTheory.PGame.powHalf_succ_rightMoves @[simp] theorem powHalf_moveLeft (n i) : (powHalf n).moveLeft i = 0 := by cases n <;> cases i <;> rfl #align pgame.pow_half_move_left SetTheory.PGame.powHalf_moveLeft @[simp] theorem powHalf_succ_moveRight (n i) : (powHalf (n + 1)).moveRight i = powHalf n := rfl #align pgame.pow_half_succ_move_right SetTheory.PGame.powHalf_succ_moveRight instance uniquePowHalfLeftMoves (n) : Unique (powHalf n).LeftMoves := by cases n <;> exact PUnit.unique #align pgame.unique_pow_half_left_moves SetTheory.PGame.uniquePowHalfLeftMoves instance isEmpty_powHalf_zero_rightMoves : IsEmpty (powHalf 0).RightMoves := inferInstanceAs (IsEmpty PEmpty) #align pgame.is_empty_pow_half_zero_right_moves SetTheory.PGame.isEmpty_powHalf_zero_rightMoves instance uniquePowHalfSuccRightMoves (n) : Unique (powHalf (n + 1)).RightMoves := PUnit.unique #align pgame.unique_pow_half_succ_right_moves SetTheory.PGame.uniquePowHalfSuccRightMoves @[simp] theorem birthday_half : birthday (powHalf 1) = 2 := by rw [birthday_def]; simp #align pgame.birthday_half SetTheory.PGame.birthday_half
Mathlib/SetTheory/Surreal/Dyadic.lean
90
95
theorem numeric_powHalf (n) : (powHalf n).Numeric := by
induction' n with n hn · exact numeric_one · constructor · simpa using hn.moveLeft_lt default · exact ⟨fun _ => numeric_zero, fun _ => hn⟩
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.Calculus.Deriv.Basic open Topology InnerProductSpace Set noncomputable section variable {𝕜 F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] [CompleteSpace F] variable {f : F → 𝕜} {f' x : F} def HasGradientAtFilter (f : F → 𝕜) (f' x : F) (L : Filter F) := HasFDerivAtFilter f (toDual 𝕜 F f') x L def HasGradientWithinAt (f : F → 𝕜) (f' : F) (s : Set F) (x : F) := HasGradientAtFilter f f' x (𝓝[s] x) def HasGradientAt (f : F → 𝕜) (f' x : F) := HasGradientAtFilter f f' x (𝓝 x) def gradientWithin (f : F → 𝕜) (s : Set F) (x : F) : F := (toDual 𝕜 F).symm (fderivWithin 𝕜 f s x) def gradient (f : F → 𝕜) (x : F) : F := (toDual 𝕜 F).symm (fderiv 𝕜 f x) @[inherit_doc] scoped[Gradient] notation "∇" => gradient local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open scoped Gradient variable {s : Set F} {L : Filter F} theorem hasGradientWithinAt_iff_hasFDerivWithinAt {s : Set F} : HasGradientWithinAt f f' s x ↔ HasFDerivWithinAt f (toDual 𝕜 F f') s x := Iff.rfl theorem hasFDerivWithinAt_iff_hasGradientWithinAt {frechet : F →L[𝕜] 𝕜} {s : Set F} : HasFDerivWithinAt f frechet s x ↔ HasGradientWithinAt f ((toDual 𝕜 F).symm frechet) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, (toDual 𝕜 F).apply_symm_apply frechet] theorem hasGradientAt_iff_hasFDerivAt : HasGradientAt f f' x ↔ HasFDerivAt f (toDual 𝕜 F f') x := Iff.rfl theorem hasFDerivAt_iff_hasGradientAt {frechet : F →L[𝕜] 𝕜} : HasFDerivAt f frechet x ↔ HasGradientAt f ((toDual 𝕜 F).symm frechet) x := by rw [hasGradientAt_iff_hasFDerivAt, (toDual 𝕜 F).apply_symm_apply frechet] alias ⟨HasGradientWithinAt.hasFDerivWithinAt, _⟩ := hasGradientWithinAt_iff_hasFDerivWithinAt alias ⟨HasFDerivWithinAt.hasGradientWithinAt, _⟩ := hasFDerivWithinAt_iff_hasGradientWithinAt alias ⟨HasGradientAt.hasFDerivAt, _⟩ := hasGradientAt_iff_hasFDerivAt alias ⟨HasFDerivAt.hasGradientAt, _⟩ := hasFDerivAt_iff_hasGradientAt theorem gradient_eq_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : ∇ f x = 0 := by rw [gradient, fderiv_zero_of_not_differentiableAt h, map_zero] theorem HasGradientAt.unique {gradf gradg : F} (hf : HasGradientAt f gradf x) (hg : HasGradientAt f gradg x) : gradf = gradg := (toDual 𝕜 F).injective (hf.hasFDerivAt.unique hg.hasFDerivAt) theorem DifferentiableAt.hasGradientAt (h : DifferentiableAt 𝕜 f x) : HasGradientAt f (∇ f x) x := by rw [hasGradientAt_iff_hasFDerivAt, gradient, (toDual 𝕜 F).apply_symm_apply (fderiv 𝕜 f x)] exact h.hasFDerivAt theorem HasGradientAt.differentiableAt (h : HasGradientAt f f' x) : DifferentiableAt 𝕜 f x := h.hasFDerivAt.differentiableAt theorem DifferentiableWithinAt.hasGradientWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasGradientWithinAt f (gradientWithin f s x) s x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, gradientWithin, (toDual 𝕜 F).apply_symm_apply (fderivWithin 𝕜 f s x)] exact h.hasFDerivWithinAt theorem HasGradientWithinAt.differentiableWithinAt (h : HasGradientWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := h.hasFDerivWithinAt.differentiableWithinAt @[simp] theorem hasGradientWithinAt_univ : HasGradientWithinAt f f' univ x ↔ HasGradientAt f f' x := by rw [hasGradientWithinAt_iff_hasFDerivWithinAt, hasGradientAt_iff_hasFDerivAt] exact hasFDerivWithinAt_univ theorem DifferentiableOn.hasGradientAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasGradientAt f (∇ f x) x := (h.hasFDerivAt hs).hasGradientAt theorem HasGradientAt.gradient (h : HasGradientAt f f' x) : ∇ f x = f' := h.differentiableAt.hasGradientAt.unique h theorem gradient_eq {f' : F → F} (h : ∀ x, HasGradientAt f (f' x) x) : ∇ f = f' := funext fun x => (h x).gradient open Filter section Const variable (c : 𝕜) (s x L) theorem hasGradientAtFilter_const : HasGradientAtFilter (fun _ => c) 0 x L := by rw [HasGradientAtFilter, map_zero]; apply hasFDerivAtFilter_const c x L theorem hasGradientWithinAt_const : HasGradientWithinAt (fun _ => c) 0 s x := hasGradientAtFilter_const _ _ _ theorem hasGradientAt_const : HasGradientAt (fun _ => c) 0 x := hasGradientAtFilter_const _ _ _
Mathlib/Analysis/Calculus/Gradient/Basic.lean
313
314
theorem gradient_const : ∇ (fun _ => c) x = 0 := by
rw [gradient, fderiv_const, Pi.zero_apply, map_zero]
import Mathlib.Algebra.Field.Defs import Mathlib.Algebra.GroupWithZero.Units.Lemmas import Mathlib.Algebra.Ring.Commute import Mathlib.Algebra.Ring.Invertible import Mathlib.Order.Synonym #align_import algebra.field.basic from "leanprover-community/mathlib"@"05101c3df9d9cfe9430edc205860c79b6d660102" open Function OrderDual Set universe u variable {α β K : Type*} section DivisionMonoid variable [DivisionMonoid K] [HasDistribNeg K] {a b : K}
Mathlib/Algebra/Field/Basic.lean
96
98
theorem one_div_neg_one_eq_neg_one : (1 : K) / -1 = -1 := have : -1 * -1 = (1 : K) := by
rw [neg_mul_neg, one_mul] Eq.symm (eq_one_div_of_mul_eq_one_right this)
import Mathlib.Data.List.Basic #align_import data.list.join from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607" -- Make sure we don't import algebra assert_not_exists Monoid variable {α β : Type*} namespace List attribute [simp] join -- Porting note (#10618): simp can prove this -- @[simp] theorem join_singleton (l : List α) : [l].join = l := by rw [join, join, append_nil] #align list.join_singleton List.join_singleton @[simp] theorem join_eq_nil : ∀ {L : List (List α)}, join L = [] ↔ ∀ l ∈ L, l = [] | [] => iff_of_true rfl (forall_mem_nil _) | l :: L => by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons] #align list.join_eq_nil List.join_eq_nil @[simp]
Mathlib/Data/List/Join.lean
38
41
theorem join_append (L₁ L₂ : List (List α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ := by
induction L₁ · rfl · simp [*]
import Mathlib.RingTheory.HahnSeries.Multiplication import Mathlib.RingTheory.PowerSeries.Basic import Mathlib.Data.Finsupp.PWO #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical open Pointwise Polynomial noncomputable section variable {Γ : Type*} {R : Type*} namespace HahnSeries section Semiring variable [Semiring R] @[simps] def toPowerSeries : HahnSeries ℕ R ≃+* PowerSeries R where toFun f := PowerSeries.mk f.coeff invFun f := ⟨fun n => PowerSeries.coeff R n f, (Nat.lt_wfRel.wf.isWF _).isPWO⟩ left_inv f := by ext simp right_inv f := by ext simp map_add' f g := by ext simp map_mul' f g := by ext n simp only [PowerSeries.coeff_mul, PowerSeries.coeff_mk, mul_coeff, isPWO_support] classical refine (sum_filter_ne_zero _).symm.trans <| (sum_congr ?_ fun _ _ ↦ rfl).trans <| sum_filter_ne_zero _ ext m simp only [mem_antidiagonal, mem_addAntidiagonal, and_congr_left_iff, mem_filter, mem_support] rintro h rw [and_iff_right (left_ne_zero_of_mul h), and_iff_right (right_ne_zero_of_mul h)] #align hahn_series.to_power_series HahnSeries.toPowerSeries theorem coeff_toPowerSeries {f : HahnSeries ℕ R} {n : ℕ} : PowerSeries.coeff R n (toPowerSeries f) = f.coeff n := PowerSeries.coeff_mk _ _ #align hahn_series.coeff_to_power_series HahnSeries.coeff_toPowerSeries theorem coeff_toPowerSeries_symm {f : PowerSeries R} {n : ℕ} : (HahnSeries.toPowerSeries.symm f).coeff n = PowerSeries.coeff R n f := rfl #align hahn_series.coeff_to_power_series_symm HahnSeries.coeff_toPowerSeries_symm variable (Γ R) [StrictOrderedSemiring Γ] def ofPowerSeries : PowerSeries R →+* HahnSeries Γ R := (HahnSeries.embDomainRingHom (Nat.castAddMonoidHom Γ) Nat.strictMono_cast.injective fun _ _ => Nat.cast_le).comp (RingEquiv.toRingHom toPowerSeries.symm) #align hahn_series.of_power_series HahnSeries.ofPowerSeries variable {Γ} {R} theorem ofPowerSeries_injective : Function.Injective (ofPowerSeries Γ R) := embDomain_injective.comp toPowerSeries.symm.injective #align hahn_series.of_power_series_injective HahnSeries.ofPowerSeries_injective theorem ofPowerSeries_apply (x : PowerSeries R) : ofPowerSeries Γ R x = HahnSeries.embDomain ⟨⟨((↑) : ℕ → Γ), Nat.strictMono_cast.injective⟩, by simp only [Function.Embedding.coeFn_mk] exact Nat.cast_le⟩ (toPowerSeries.symm x) := rfl #align hahn_series.of_power_series_apply HahnSeries.ofPowerSeries_apply
Mathlib/RingTheory/HahnSeries/PowerSeries.lean
112
113
theorem ofPowerSeries_apply_coeff (x : PowerSeries R) (n : ℕ) : (ofPowerSeries Γ R x).coeff n = PowerSeries.coeff R n x := by
simp [ofPowerSeries_apply]
import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Tactic.Positivity.Core import Mathlib.Algebra.Ring.NegOnePow #align_import analysis.special_functions.trigonometric.basic from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" noncomputable section open scoped Classical open Topology Filter Set namespace Complex @[continuity, fun_prop]
Mathlib/Analysis/SpecialFunctions/Trigonometric/Basic.lean
54
56
theorem continuous_sin : Continuous sin := by
change Continuous fun z => (exp (-z * I) - exp (z * I)) * I / 2 continuity
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 CompleteLattice variable [CompleteLattice α] [CompleteLattice β] {f : α → β} theorem map_sSup' (hf : LeftOrdContinuous f) (s : Set α) : f (sSup s) = sSup (f '' s) := (hf <| isLUB_sSup s).sSup_eq.symm #align left_ord_continuous.map_Sup' LeftOrdContinuous.map_sSup'
Mathlib/Order/OrdContinuous.lean
131
132
theorem map_sSup (hf : LeftOrdContinuous f) (s : Set α) : f (sSup s) = ⨆ x ∈ s, f x := by
rw [hf.map_sSup', sSup_image]
import Mathlib.Analysis.Normed.Group.Basic #align_import information_theory.hamming from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" section HammingDistNorm open Finset Function variable {α ι : Type*} {β : ι → Type*} [Fintype ι] [∀ i, DecidableEq (β i)] variable {γ : ι → Type*} [∀ i, DecidableEq (γ i)] def hammingDist (x y : ∀ i, β i) : ℕ := (univ.filter fun i => x i ≠ y i).card #align hamming_dist hammingDist @[simp] theorem hammingDist_self (x : ∀ i, β i) : hammingDist x x = 0 := by rw [hammingDist, card_eq_zero, filter_eq_empty_iff] exact fun _ _ H => H rfl #align hamming_dist_self hammingDist_self theorem hammingDist_nonneg {x y : ∀ i, β i} : 0 ≤ hammingDist x y := zero_le _ #align hamming_dist_nonneg hammingDist_nonneg theorem hammingDist_comm (x y : ∀ i, β i) : hammingDist x y = hammingDist y x := by simp_rw [hammingDist, ne_comm] #align hamming_dist_comm hammingDist_comm theorem hammingDist_triangle (x y z : ∀ i, β i) : hammingDist x z ≤ hammingDist x y + hammingDist y z := by classical unfold hammingDist refine le_trans (card_mono ?_) (card_union_le _ _) rw [← filter_or] exact monotone_filter_right _ fun i h ↦ (h.ne_or_ne _).imp_right Ne.symm #align hamming_dist_triangle hammingDist_triangle theorem hammingDist_triangle_left (x y z : ∀ i, β i) : hammingDist x y ≤ hammingDist z x + hammingDist z y := by rw [hammingDist_comm z] exact hammingDist_triangle _ _ _ #align hamming_dist_triangle_left hammingDist_triangle_left theorem hammingDist_triangle_right (x y z : ∀ i, β i) : hammingDist x y ≤ hammingDist x z + hammingDist y z := by rw [hammingDist_comm y] exact hammingDist_triangle _ _ _ #align hamming_dist_triangle_right hammingDist_triangle_right
Mathlib/InformationTheory/Hamming.lean
85
87
theorem swap_hammingDist : swap (@hammingDist _ β _ _) = hammingDist := by
funext x y exact hammingDist_comm _ _
import Mathlib.Data.Int.GCD import Mathlib.Tactic.NormNum namespace Tactic namespace NormNum theorem int_gcd_helper' {d : ℕ} {x y : ℤ} (a b : ℤ) (h₁ : (d : ℤ) ∣ x) (h₂ : (d : ℤ) ∣ y) (h₃ : x * a + y * b = d) : Int.gcd x y = d := by refine Nat.dvd_antisymm ?_ (Int.natCast_dvd_natCast.1 (Int.dvd_gcd h₁ h₂)) rw [← Int.natCast_dvd_natCast, ← h₃] apply dvd_add · exact Int.gcd_dvd_left.mul_right _ · exact Int.gcd_dvd_right.mul_right _ theorem nat_gcd_helper_dvd_left (x y : ℕ) (h : y % x = 0) : Nat.gcd x y = x := Nat.gcd_eq_left (Nat.dvd_of_mod_eq_zero h) theorem nat_gcd_helper_dvd_right (x y : ℕ) (h : x % y = 0) : Nat.gcd x y = y := Nat.gcd_eq_right (Nat.dvd_of_mod_eq_zero h) theorem nat_gcd_helper_2 (d x y a b : ℕ) (hu : x % d = 0) (hv : y % d = 0) (h : x * a = y * b + d) : Nat.gcd x y = d := by rw [← Int.gcd_natCast_natCast] apply int_gcd_helper' a (-b) (Int.natCast_dvd_natCast.mpr (Nat.dvd_of_mod_eq_zero hu)) (Int.natCast_dvd_natCast.mpr (Nat.dvd_of_mod_eq_zero hv)) rw [mul_neg, ← sub_eq_add_neg, sub_eq_iff_eq_add'] exact mod_cast h theorem nat_gcd_helper_1 (d x y a b : ℕ) (hu : x % d = 0) (hv : y % d = 0) (h : y * b = x * a + d) : Nat.gcd x y = d := (Nat.gcd_comm _ _).trans <| nat_gcd_helper_2 _ _ _ _ _ hv hu h theorem nat_gcd_helper_1' (x y a b : ℕ) (h : y * b = x * a + 1) : Nat.gcd x y = 1 := nat_gcd_helper_1 1 _ _ _ _ (Nat.mod_one _) (Nat.mod_one _) h theorem nat_gcd_helper_2' (x y a b : ℕ) (h : x * a = y * b + 1) : Nat.gcd x y = 1 := nat_gcd_helper_2 1 _ _ _ _ (Nat.mod_one _) (Nat.mod_one _) h theorem nat_lcm_helper (x y d m : ℕ) (hd : Nat.gcd x y = d) (d0 : Nat.beq d 0 = false) (dm : x * y = d * m) : Nat.lcm x y = m := mul_right_injective₀ (Nat.ne_of_beq_eq_false d0) <| by dsimp only -- Porting note: the `dsimp only` was not necessary in Lean3. rw [← dm, ← hd, Nat.gcd_mul_lcm] theorem int_gcd_helper {x y : ℤ} {x' y' d : ℕ} (hx : x.natAbs = x') (hy : y.natAbs = y') (h : Nat.gcd x' y' = d) : Int.gcd x y = d := by subst_vars; rw [Int.gcd_def]
Mathlib/Tactic/NormNum/GCD.lean
68
70
theorem int_lcm_helper {x y : ℤ} {x' y' d : ℕ} (hx : x.natAbs = x') (hy : y.natAbs = y') (h : Nat.lcm x' y' = d) : Int.lcm x y = d := by
subst_vars; rw [Int.lcm_def]
import Mathlib.Algebra.Group.Commute.Units import Mathlib.Algebra.Group.Int import Mathlib.Algebra.GroupWithZero.Semiconj import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.int.gcd from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47" namespace Nat def xgcdAux : ℕ → ℤ → ℤ → ℕ → ℤ → ℤ → ℕ × ℤ × ℤ | 0, _, _, r', s', t' => (r', s', t') | succ k, s, t, r', s', t' => let q := r' / succ k xgcdAux (r' % succ k) (s' - q * s) (t' - q * t) (succ k) s t termination_by k => k decreasing_by exact mod_lt _ <| (succ_pos _).gt #align nat.xgcd_aux Nat.xgcdAux @[simp] theorem xgcd_zero_left {s t r' s' t'} : xgcdAux 0 s t r' s' t' = (r', s', t') := by simp [xgcdAux] #align nat.xgcd_zero_left Nat.xgcd_zero_left theorem xgcdAux_rec {r s t r' s' t'} (h : 0 < r) : xgcdAux r s t r' s' t' = xgcdAux (r' % r) (s' - r' / r * s) (t' - r' / r * t) r s t := by obtain ⟨r, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h.ne' simp [xgcdAux] #align nat.xgcd_aux_rec Nat.xgcdAux_rec def xgcd (x y : ℕ) : ℤ × ℤ := (xgcdAux x 1 0 y 0 1).2 #align nat.xgcd Nat.xgcd def gcdA (x y : ℕ) : ℤ := (xgcd x y).1 #align nat.gcd_a Nat.gcdA def gcdB (x y : ℕ) : ℤ := (xgcd x y).2 #align nat.gcd_b Nat.gcdB @[simp] theorem gcdA_zero_left {s : ℕ} : gcdA 0 s = 0 := by unfold gcdA rw [xgcd, xgcd_zero_left] #align nat.gcd_a_zero_left Nat.gcdA_zero_left @[simp] theorem gcdB_zero_left {s : ℕ} : gcdB 0 s = 1 := by unfold gcdB rw [xgcd, xgcd_zero_left] #align nat.gcd_b_zero_left Nat.gcdB_zero_left @[simp] theorem gcdA_zero_right {s : ℕ} (h : s ≠ 0) : gcdA s 0 = 1 := by unfold gcdA xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_a_zero_right Nat.gcdA_zero_right @[simp] theorem gcdB_zero_right {s : ℕ} (h : s ≠ 0) : gcdB s 0 = 0 := by unfold gcdB xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_b_zero_right Nat.gcdB_zero_right @[simp] theorem xgcdAux_fst (x y) : ∀ s t s' t', (xgcdAux x s t y s' t').1 = gcd x y := gcd.induction x y (by simp) fun x y h IH s t s' t' => by simp only [h, xgcdAux_rec, IH] rw [← gcd_rec] #align nat.xgcd_aux_fst Nat.xgcdAux_fst theorem xgcdAux_val (x y) : xgcdAux x 1 0 y 0 1 = (gcd x y, xgcd x y) := by rw [xgcd, ← xgcdAux_fst x y 1 0 0 1] #align nat.xgcd_aux_val Nat.xgcdAux_val theorem xgcd_val (x y) : xgcd x y = (gcdA x y, gcdB x y) := by unfold gcdA gcdB; cases xgcd x y; rfl #align nat.xgcd_val Nat.xgcd_val section variable (x y : ℕ) private def P : ℕ × ℤ × ℤ → Prop | (r, s, t) => (r : ℤ) = x * s + y * t theorem xgcdAux_P {r r'} : ∀ {s t s' t'}, P x y (r, s, t) → P x y (r', s', t') → P x y (xgcdAux r s t r' s' t') := by induction r, r' using gcd.induction with | H0 => simp | H1 a b h IH => intro s t s' t' p p' rw [xgcdAux_rec h]; refine IH ?_ p; dsimp [P] at * rw [Int.emod_def]; generalize (b / a : ℤ) = k rw [p, p', Int.mul_sub, sub_add_eq_add_sub, Int.mul_sub, Int.add_mul, mul_comm k t, mul_comm k s, ← mul_assoc, ← mul_assoc, add_comm (x * s * k), ← add_sub_assoc, sub_sub] set_option linter.uppercaseLean3 false in #align nat.xgcd_aux_P Nat.xgcdAux_P
Mathlib/Data/Int/GCD.lean
139
141
theorem gcd_eq_gcd_ab : (gcd x y : ℤ) = x * gcdA x y + y * gcdB x y := by
have := @xgcdAux_P x y x y 1 0 0 1 (by simp [P]) (by simp [P]) rwa [xgcdAux_val, xgcd_val] at this
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]}
Mathlib/Algebra/Polynomial/RingDivision.lean
245
256
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]
import Mathlib.MeasureTheory.Measure.FiniteMeasure import Mathlib.MeasureTheory.Integral.Average #align_import measure_theory.measure.probability_measure from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open MeasureTheory open Set open Filter open BoundedContinuousFunction open scoped Topology ENNReal NNReal BoundedContinuousFunction namespace MeasureTheory section ProbabilityMeasure def ProbabilityMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ := { μ : Measure Ω // IsProbabilityMeasure μ } #align measure_theory.probability_measure MeasureTheory.ProbabilityMeasure namespace ProbabilityMeasure variable {Ω : Type*} [MeasurableSpace Ω] instance [Inhabited Ω] : Inhabited (ProbabilityMeasure Ω) := ⟨⟨Measure.dirac default, Measure.dirac.isProbabilityMeasure⟩⟩ -- 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 : ProbabilityMeasure Ω → Measure Ω := Subtype.val instance : Coe (ProbabilityMeasure Ω) (MeasureTheory.Measure Ω) where coe := toMeasure instance (μ : ProbabilityMeasure Ω) : IsProbabilityMeasure (μ : Measure Ω) := μ.prop @[simp, norm_cast] lemma coe_mk (μ : Measure Ω) (hμ) : toMeasure ⟨μ, hμ⟩ = μ := rfl @[simp] theorem val_eq_to_measure (ν : ProbabilityMeasure Ω) : ν.val = (ν : Measure Ω) := rfl #align measure_theory.probability_measure.val_eq_to_measure MeasureTheory.ProbabilityMeasure.val_eq_to_measure theorem toMeasure_injective : Function.Injective ((↑) : ProbabilityMeasure Ω → Measure Ω) := Subtype.coe_injective #align measure_theory.probability_measure.coe_injective MeasureTheory.ProbabilityMeasure.toMeasure_injective instance instFunLike : FunLike (ProbabilityMeasure 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 : ProbabilityMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl #align measure_theory.probability_measure.coe_fn_eq_to_nnreal_coe_fn_to_measure MeasureTheory.ProbabilityMeasure.coeFn_def lemma coeFn_mk (μ : Measure Ω) (hμ) : DFunLike.coe (F := ProbabilityMeasure 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 := ProbabilityMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl @[simp, norm_cast] theorem coeFn_univ (ν : ProbabilityMeasure Ω) : ν univ = 1 := congr_arg ENNReal.toNNReal ν.prop.measure_univ #align measure_theory.probability_measure.coe_fn_univ MeasureTheory.ProbabilityMeasure.coeFn_univ theorem coeFn_univ_ne_zero (ν : ProbabilityMeasure Ω) : ν univ ≠ 0 := by simp only [coeFn_univ, Ne, one_ne_zero, not_false_iff] #align measure_theory.probability_measure.coe_fn_univ_ne_zero MeasureTheory.ProbabilityMeasure.coeFn_univ_ne_zero def toFiniteMeasure (μ : ProbabilityMeasure Ω) : FiniteMeasure Ω := ⟨μ, inferInstance⟩ #align measure_theory.probability_measure.to_finite_measure MeasureTheory.ProbabilityMeasure.toFiniteMeasure @[simp] lemma coeFn_toFiniteMeasure (μ : ProbabilityMeasure Ω) : ⇑μ.toFiniteMeasure = μ := rfl lemma toFiniteMeasure_apply (μ : ProbabilityMeasure Ω) (s : Set Ω) : μ.toFiniteMeasure s = μ s := rfl @[simp] theorem toMeasure_comp_toFiniteMeasure_eq_toMeasure (ν : ProbabilityMeasure Ω) : (ν.toFiniteMeasure : Measure Ω) = (ν : Measure Ω) := rfl #align measure_theory.probability_measure.coe_comp_to_finite_measure_eq_coe MeasureTheory.ProbabilityMeasure.toMeasure_comp_toFiniteMeasure_eq_toMeasure @[simp] theorem coeFn_comp_toFiniteMeasure_eq_coeFn (ν : ProbabilityMeasure Ω) : (ν.toFiniteMeasure : Set Ω → ℝ≥0) = (ν : Set Ω → ℝ≥0) := rfl #align measure_theory.probability_measure.coe_fn_comp_to_finite_measure_eq_coe_fn MeasureTheory.ProbabilityMeasure.coeFn_comp_toFiniteMeasure_eq_coeFn @[simp] theorem toFiniteMeasure_apply_eq_apply (ν : ProbabilityMeasure Ω) (s : Set Ω) : ν.toFiniteMeasure s = ν s := rfl @[simp]
Mathlib/MeasureTheory/Measure/ProbabilityMeasure.lean
193
196
theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : ProbabilityMeasure Ω) (s : Set Ω) : (ν s : ℝ≥0∞) = (ν : Measure Ω) s := by
rw [← coeFn_comp_toFiniteMeasure_eq_coeFn, FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure, toMeasure_comp_toFiniteMeasure_eq_toMeasure]
import Mathlib.Data.Rat.Sqrt import Mathlib.Data.Real.Sqrt import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Int.Basic import Mathlib.Tactic.IntervalCases #align_import data.real.irrational from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d" open Rat Real multiplicity def Irrational (x : ℝ) := x ∉ Set.range ((↑) : ℚ → ℝ) #align irrational Irrational
Mathlib/Data/Real/Irrational.lean
32
34
theorem irrational_iff_ne_rational (x : ℝ) : Irrational x ↔ ∀ a b : ℤ, x ≠ a / b := by
simp only [Irrational, Rat.forall, cast_mk, not_exists, Set.mem_range, cast_intCast, cast_div, eq_comm]
import Mathlib.Algebra.Quotient import Mathlib.Algebra.Group.Subgroup.Actions import Mathlib.Algebra.Group.Subgroup.MulOpposite import Mathlib.GroupTheory.GroupAction.Basic import Mathlib.SetTheory.Cardinal.Finite #align_import group_theory.coset from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" open Function MulOpposite Set open scoped Pointwise variable {α : Type*} #align left_coset HSMul.hSMul #align left_add_coset HVAdd.hVAdd #noalign right_coset #noalign right_add_coset -- Porting note: see https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/.E2.9C.94.20to_additive.2Emap_namespace run_cmd Lean.Elab.Command.liftCoreM <| ToAdditive.insertTranslation `QuotientGroup `QuotientAddGroup namespace QuotientGroup variable [Group α] (s : Subgroup α) @[to_additive "The equivalence relation corresponding to the partition of a group by left cosets of a subgroup."] def leftRel : Setoid α := MulAction.orbitRel s.op α #align quotient_group.left_rel QuotientGroup.leftRel #align quotient_add_group.left_rel QuotientAddGroup.leftRel variable {s} @[to_additive]
Mathlib/GroupTheory/Coset.lean
302
308
theorem leftRel_apply {x y : α} : @Setoid.r _ (leftRel s) x y ↔ x⁻¹ * y ∈ s := calc (∃ a : s.op, y * MulOpposite.unop a = x) ↔ ∃ a : s, y * a = x := s.equivOp.symm.exists_congr_left _ ↔ ∃ a : s, x⁻¹ * y = a⁻¹ := by
simp only [inv_mul_eq_iff_eq_mul, Subgroup.coe_inv, eq_mul_inv_iff_mul_eq] _ ↔ x⁻¹ * y ∈ s := by simp [exists_inv_mem_iff_exists_mem]
import Mathlib.Control.Bifunctor import Mathlib.Logic.Equiv.Defs #align_import logic.equiv.functor from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f" universe u v w variable {α β : Type u} open Equiv namespace Bifunctor variable {α' β' : Type v} (F : Type u → Type v → Type w) [Bifunctor F] [LawfulBifunctor F] def mapEquiv (h : α ≃ β) (h' : α' ≃ β') : F α α' ≃ F β β' where toFun := bimap h h' invFun := bimap h.symm h'.symm left_inv x := by simp [bimap_bimap, id_bimap] right_inv x := by simp [bimap_bimap, id_bimap] #align bifunctor.map_equiv Bifunctor.mapEquiv @[simp] theorem mapEquiv_apply (h : α ≃ β) (h' : α' ≃ β') (x : F α α') : (mapEquiv F h h' : F α α' ≃ F β β') x = bimap h h' x := rfl #align bifunctor.map_equiv_apply Bifunctor.mapEquiv_apply @[simp] theorem mapEquiv_symm_apply (h : α ≃ β) (h' : α' ≃ β') (y : F β β') : (mapEquiv F h h' : F α α' ≃ F β β').symm y = bimap h.symm h'.symm y := rfl #align bifunctor.map_equiv_symm_apply Bifunctor.mapEquiv_symm_apply @[simp]
Mathlib/Logic/Equiv/Functor.lean
90
92
theorem mapEquiv_refl_refl : mapEquiv F (Equiv.refl α) (Equiv.refl α') = Equiv.refl (F α α') := by
ext x simp [id_bimap]
import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Data.Nat.Choose.Sum import Mathlib.RingTheory.PowerSeries.Basic #align_import ring_theory.power_series.well_known from "leanprover-community/mathlib"@"8199f6717c150a7fe91c4534175f4cf99725978f" namespace PowerSeries section Field variable (A A' : Type*) [Ring A] [Ring A'] [Algebra ℚ A] [Algebra ℚ A'] open Nat def exp : PowerSeries A := mk fun n => algebraMap ℚ A (1 / n !) #align power_series.exp PowerSeries.exp def sin : PowerSeries A := mk fun n => if Even n then 0 else algebraMap ℚ A ((-1) ^ (n / 2) / n !) #align power_series.sin PowerSeries.sin def cos : PowerSeries A := mk fun n => if Even n then algebraMap ℚ A ((-1) ^ (n / 2) / n !) else 0 #align power_series.cos PowerSeries.cos variable {A A'} [Ring A] [Ring A'] [Algebra ℚ A] [Algebra ℚ A'] (n : ℕ) (f : A →+* A') @[simp] theorem coeff_exp : coeff A n (exp A) = algebraMap ℚ A (1 / n !) := coeff_mk _ _ #align power_series.coeff_exp PowerSeries.coeff_exp @[simp] theorem constantCoeff_exp : constantCoeff A (exp A) = 1 := by rw [← coeff_zero_eq_constantCoeff_apply, coeff_exp] simp #align power_series.constant_coeff_exp PowerSeries.constantCoeff_exp set_option linter.deprecated false in @[simp] theorem coeff_sin_bit0 : coeff A (bit0 n) (sin A) = 0 := by rw [sin, coeff_mk, if_pos (even_bit0 n)] #align power_series.coeff_sin_bit0 PowerSeries.coeff_sin_bit0 set_option linter.deprecated false in @[simp] theorem coeff_sin_bit1 : coeff A (bit1 n) (sin A) = (-1) ^ n * coeff A (bit1 n) (exp A) := by rw [sin, coeff_mk, if_neg n.not_even_bit1, Nat.bit1_div_two, ← mul_one_div, map_mul, map_pow, map_neg, map_one, coeff_exp] #align power_series.coeff_sin_bit1 PowerSeries.coeff_sin_bit1 set_option linter.deprecated false in @[simp] theorem coeff_cos_bit0 : coeff A (bit0 n) (cos A) = (-1) ^ n * coeff A (bit0 n) (exp A) := by rw [cos, coeff_mk, if_pos (even_bit0 n), Nat.bit0_div_two, ← mul_one_div, map_mul, map_pow, map_neg, map_one, coeff_exp] #align power_series.coeff_cos_bit0 PowerSeries.coeff_cos_bit0 set_option linter.deprecated false in @[simp]
Mathlib/RingTheory/PowerSeries/WellKnown.lean
201
202
theorem coeff_cos_bit1 : coeff A (bit1 n) (cos A) = 0 := by
rw [cos, coeff_mk, if_neg n.not_even_bit1]
import Mathlib.Order.ConditionallyCompleteLattice.Finset import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.lattice from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54" assert_not_exists MonoidWithZero open Set namespace Nat open scoped Classical noncomputable instance : InfSet ℕ := ⟨fun s ↦ if h : ∃ n, n ∈ s then @Nat.find (fun n ↦ n ∈ s) _ h else 0⟩ noncomputable instance : SupSet ℕ := ⟨fun s ↦ if h : ∃ n, ∀ a ∈ s, a ≤ n then @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h else 0⟩ theorem sInf_def {s : Set ℕ} (h : s.Nonempty) : sInf s = @Nat.find (fun n ↦ n ∈ s) _ h := dif_pos _ #align nat.Inf_def Nat.sInf_def theorem sSup_def {s : Set ℕ} (h : ∃ n, ∀ a ∈ s, a ≤ n) : sSup s = @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h := dif_pos _ #align nat.Sup_def Nat.sSup_def theorem _root_.Set.Infinite.Nat.sSup_eq_zero {s : Set ℕ} (h : s.Infinite) : sSup s = 0 := dif_neg fun ⟨n, hn⟩ ↦ let ⟨k, hks, hk⟩ := h.exists_gt n (hn k hks).not_lt hk #align set.infinite.nat.Sup_eq_zero Set.Infinite.Nat.sSup_eq_zero @[simp]
Mathlib/Data/Nat/Lattice.lean
50
55
theorem sInf_eq_zero {s : Set ℕ} : sInf s = 0 ↔ 0 ∈ s ∨ s = ∅ := by
cases eq_empty_or_nonempty s with | inl h => subst h simp only [or_true_iff, eq_self_iff_true, iff_true_iff, iInf, InfSet.sInf, mem_empty_iff_false, exists_false, dif_neg, not_false_iff] | inr h => simp only [h.ne_empty, or_false_iff, Nat.sInf_def, h, Nat.find_eq_zero]
import Mathlib.Topology.MetricSpace.Thickening import Mathlib.MeasureTheory.Constructions.BorelSpace.Real #align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Filter MeasureTheory MeasurableSpace TopologicalSpace open scoped Classical Topology NNReal ENNReal MeasureTheory universe u v w x y variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α} section PseudoEMetricSpace variable [PseudoEMetricSpace α] [MeasurableSpace α] [OpensMeasurableSpace α] variable [MeasurableSpace β] {x : α} {ε : ℝ≥0∞} open EMetric @[measurability] theorem measurableSet_eball : MeasurableSet (EMetric.ball x ε) := EMetric.isOpen_ball.measurableSet #align measurable_set_eball measurableSet_eball @[measurability] theorem measurable_edist_right : Measurable (edist x) := (continuous_const.edist continuous_id).measurable #align measurable_edist_right measurable_edist_right @[measurability] theorem measurable_edist_left : Measurable fun y => edist y x := (continuous_id.edist continuous_const).measurable #align measurable_edist_left measurable_edist_left @[measurability] theorem measurable_infEdist {s : Set α} : Measurable fun x => infEdist x s := continuous_infEdist.measurable #align measurable_inf_edist measurable_infEdist @[measurability] theorem Measurable.infEdist {f : β → α} (hf : Measurable f) {s : Set α} : Measurable fun x => infEdist (f x) s := measurable_infEdist.comp hf #align measurable.inf_edist Measurable.infEdist open Metric EMetric theorem tendsto_measure_cthickening {μ : Measure α} {s : Set α} (hs : ∃ R > 0, μ (cthickening R s) ≠ ∞) : Tendsto (fun r => μ (cthickening r s)) (𝓝 0) (𝓝 (μ (closure s))) := by have A : Tendsto (fun r => μ (cthickening r s)) (𝓝[Ioi 0] 0) (𝓝 (μ (closure s))) := by rw [closure_eq_iInter_cthickening] exact tendsto_measure_biInter_gt (fun r _ => isClosed_cthickening.measurableSet) (fun i j _ ij => cthickening_mono ij _) hs have B : Tendsto (fun r => μ (cthickening r s)) (𝓝[Iic 0] 0) (𝓝 (μ (closure s))) := by apply Tendsto.congr' _ tendsto_const_nhds filter_upwards [self_mem_nhdsWithin (α := ℝ)] with _ hr rw [cthickening_of_nonpos hr] convert B.sup A exact (nhds_left_sup_nhds_right' 0).symm #align tendsto_measure_cthickening tendsto_measure_cthickening
Mathlib/MeasureTheory/Constructions/BorelSpace/Metric.lean
159
163
theorem tendsto_measure_cthickening_of_isClosed {μ : Measure α} {s : Set α} (hs : ∃ R > 0, μ (cthickening R s) ≠ ∞) (h's : IsClosed s) : Tendsto (fun r => μ (cthickening r s)) (𝓝 0) (𝓝 (μ s)) := by
convert tendsto_measure_cthickening hs exact h's.closure_eq.symm
import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.LinearAlgebra.AffineSpace.Ordered import Mathlib.Topology.ContinuousFunction.Basic import Mathlib.Topology.GDelta import Mathlib.Analysis.NormedSpace.FunctionSeries import Mathlib.Analysis.SpecificLimits.Basic #align_import topology.urysohns_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {X : Type*} [TopologicalSpace X] open Set Filter TopologicalSpace Topology Filter open scoped Pointwise namespace Urysohns set_option linter.uppercaseLean3 false structure CU {X : Type*} [TopologicalSpace X] (P : Set X → Prop) where protected C : Set X protected U : Set X protected P_C : P C protected closed_C : IsClosed C protected open_U : IsOpen U protected subset : C ⊆ U protected hP : ∀ {c u : Set X}, IsClosed c → P c → IsOpen u → c ⊆ u → ∃ v, IsOpen v ∧ c ⊆ v ∧ closure v ⊆ u ∧ P (closure v) #align urysohns.CU Urysohns.CU namespace CU variable {P : Set X → Prop} @[simps C] def left (c : CU P) : CU P where C := c.C U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose closed_C := c.closed_C P_C := c.P_C open_U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.1 subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.1 hP := c.hP #align urysohns.CU.left Urysohns.CU.left @[simps U] def right (c : CU P) : CU P where C := closure (c.hP c.closed_C c.P_C c.open_U c.subset).choose U := c.U closed_C := isClosed_closure P_C := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.2 open_U := c.open_U subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.1 hP := c.hP #align urysohns.CU.right Urysohns.CU.right theorem left_U_subset_right_C (c : CU P) : c.left.U ⊆ c.right.C := subset_closure #align urysohns.CU.left_U_subset_right_C Urysohns.CU.left_U_subset_right_C theorem left_U_subset (c : CU P) : c.left.U ⊆ c.U := Subset.trans c.left_U_subset_right_C c.right.subset #align urysohns.CU.left_U_subset Urysohns.CU.left_U_subset theorem subset_right_C (c : CU P) : c.C ⊆ c.right.C := Subset.trans c.left.subset c.left_U_subset_right_C #align urysohns.CU.subset_right_C Urysohns.CU.subset_right_C noncomputable def approx : ℕ → CU P → X → ℝ | 0, c, x => indicator c.Uᶜ 1 x | n + 1, c, x => midpoint ℝ (approx n c.left x) (approx n c.right x) #align urysohns.CU.approx Urysohns.CU.approx theorem approx_of_mem_C (c : CU P) (n : ℕ) {x : X} (hx : x ∈ c.C) : c.approx n x = 0 := by induction' n with n ihn generalizing c · exact indicator_of_not_mem (fun (hU : x ∈ c.Uᶜ) => hU <| c.subset hx) _ · simp only [approx] rw [ihn, ihn, midpoint_self] exacts [c.subset_right_C hx, hx] #align urysohns.CU.approx_of_mem_C Urysohns.CU.approx_of_mem_C theorem approx_of_nmem_U (c : CU P) (n : ℕ) {x : X} (hx : x ∉ c.U) : c.approx n x = 1 := by induction' n with n ihn generalizing c · rw [← mem_compl_iff] at hx exact indicator_of_mem hx _ · simp only [approx] rw [ihn, ihn, midpoint_self] exacts [hx, fun hU => hx <| c.left_U_subset hU] #align urysohns.CU.approx_of_nmem_U Urysohns.CU.approx_of_nmem_U
Mathlib/Topology/UrysohnsLemma.lean
178
182
theorem approx_nonneg (c : CU P) (n : ℕ) (x : X) : 0 ≤ c.approx n x := by
induction' n with n ihn generalizing c · exact indicator_nonneg (fun _ _ => zero_le_one) _ · simp only [approx, midpoint_eq_smul_add, invOf_eq_inv] refine mul_nonneg (inv_nonneg.2 zero_le_two) (add_nonneg ?_ ?_) <;> apply ihn
import Mathlib.Algebra.Homology.ImageToKernel import Mathlib.Algebra.Homology.HomologicalComplex import Mathlib.CategoryTheory.GradedObject #align_import algebra.homology.homology from "leanprover-community/mathlib"@"618ea3d5c99240cd7000d8376924906a148bf9ff" universe v u open CategoryTheory CategoryTheory.Limits variable {ι : Type*} variable {V : Type u} [Category.{v} V] [HasZeroMorphisms V] variable {c : ComplexShape ι} (C : HomologicalComplex V c) open scoped Classical open ZeroObject noncomputable section namespace HomologicalComplex section Cycles variable [HasKernels V] abbrev cycles' (i : ι) : Subobject (C.X i) := kernelSubobject (C.dFrom i) #align homological_complex.cycles HomologicalComplex.cycles' theorem cycles'_eq_kernelSubobject {i j : ι} (r : c.Rel i j) : C.cycles' i = kernelSubobject (C.d i j) := C.kernel_from_eq_kernel r #align homological_complex.cycles_eq_kernel_subobject HomologicalComplex.cycles'_eq_kernelSubobject def cycles'IsoKernel {i j : ι} (r : c.Rel i j) : (C.cycles' i : V) ≅ kernel (C.d i j) := Subobject.isoOfEq _ _ (C.cycles'_eq_kernelSubobject r) ≪≫ kernelSubobjectIso (C.d i j) #align homological_complex.cycles_iso_kernel HomologicalComplex.cycles'IsoKernel
Mathlib/Algebra/Homology/Homology.lean
68
71
theorem cycles_eq_top {i} (h : ¬c.Rel i (c.next i)) : C.cycles' i = ⊤ := by
rw [eq_top_iff] apply le_kernelSubobject rw [C.dFrom_eq_zero h, comp_zero]
import Mathlib.Analysis.Calculus.LocalExtr.Basic import Mathlib.Topology.Algebra.Order.Rolle #align_import analysis.calculus.local_extr from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Set Filter Topology variable {f f' : ℝ → ℝ} {a b l : ℝ} theorem exists_hasDerivAt_eq_zero (hab : a < b) (hfc : ContinuousOn f (Icc a b)) (hfI : f a = f b) (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x) : ∃ c ∈ Ioo a b, f' c = 0 := let ⟨c, cmem, hc⟩ := exists_isLocalExtr_Ioo hab hfc hfI ⟨c, cmem, hc.hasDerivAt_eq_zero <| hff' c cmem⟩ #align exists_has_deriv_at_eq_zero exists_hasDerivAt_eq_zero theorem exists_deriv_eq_zero (hab : a < b) (hfc : ContinuousOn f (Icc a b)) (hfI : f a = f b) : ∃ c ∈ Ioo a b, deriv f c = 0 := let ⟨c, cmem, hc⟩ := exists_isLocalExtr_Ioo hab hfc hfI ⟨c, cmem, hc.deriv_eq_zero⟩ #align exists_deriv_eq_zero exists_deriv_eq_zero theorem exists_hasDerivAt_eq_zero' (hab : a < b) (hfa : Tendsto f (𝓝[>] a) (𝓝 l)) (hfb : Tendsto f (𝓝[<] b) (𝓝 l)) (hff' : ∀ x ∈ Ioo a b, HasDerivAt f (f' x) x) : ∃ c ∈ Ioo a b, f' c = 0 := let ⟨c, cmem, hc⟩ := exists_isLocalExtr_Ioo_of_tendsto hab (fun x hx ↦ (hff' x hx).continuousAt.continuousWithinAt) hfa hfb ⟨c, cmem, hc.hasDerivAt_eq_zero <| hff' c cmem⟩ #align exists_has_deriv_at_eq_zero' exists_hasDerivAt_eq_zero'
Mathlib/Analysis/Calculus/LocalExtr/Rolle.lean
78
84
theorem exists_deriv_eq_zero' (hab : a < b) (hfa : Tendsto f (𝓝[>] a) (𝓝 l)) (hfb : Tendsto f (𝓝[<] b) (𝓝 l)) : ∃ c ∈ Ioo a b, deriv f c = 0 := by
by_cases h : ∀ x ∈ Ioo a b, DifferentiableAt ℝ f x · exact exists_hasDerivAt_eq_zero' hab hfa hfb fun x hx => (h x hx).hasDerivAt · obtain ⟨c, hc, hcdiff⟩ : ∃ x ∈ Ioo a b, ¬DifferentiableAt ℝ f x := by push_neg at h; exact h exact ⟨c, hc, deriv_zero_of_not_differentiableAt hcdiff⟩
import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.SetTheory.Cardinal.Cofinality #align_import linear_algebra.basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" noncomputable section universe u open Function Set Submodule variable {ι : Type*} {ι' : Type*} {R : Type*} {R₂ : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable [Semiring R] variable [AddCommMonoid M] [Module R M] [AddCommMonoid M'] [Module R M'] section variable (ι R M) structure Basis where ofRepr :: repr : M ≃ₗ[R] ι →₀ R #align basis Basis #align basis.repr Basis.repr #align basis.of_repr Basis.ofRepr end instance uniqueBasis [Subsingleton R] : Unique (Basis ι R M) := ⟨⟨⟨default⟩⟩, fun ⟨b⟩ => by rw [Subsingleton.elim b]⟩ #align unique_basis uniqueBasis namespace Basis instance : Inhabited (Basis ι R (ι →₀ R)) := ⟨.ofRepr (LinearEquiv.refl _ _)⟩ variable (b b₁ : Basis ι R M) (i : ι) (c : R) (x : M) section repr theorem repr_injective : Injective (repr : Basis ι R M → M ≃ₗ[R] ι →₀ R) := fun f g h => by cases f; cases g; congr #align basis.repr_injective Basis.repr_injective instance instFunLike : FunLike (Basis ι R M) ι M where coe b i := b.repr.symm (Finsupp.single i 1) coe_injective' f g h := repr_injective <| LinearEquiv.symm_bijective.injective <| LinearEquiv.toLinearMap_injective <| by ext; exact congr_fun h _ #align basis.fun_like Basis.instFunLike @[simp] theorem coe_ofRepr (e : M ≃ₗ[R] ι →₀ R) : ⇑(ofRepr e) = fun i => e.symm (Finsupp.single i 1) := rfl #align basis.coe_of_repr Basis.coe_ofRepr protected theorem injective [Nontrivial R] : Injective b := b.repr.symm.injective.comp fun _ _ => (Finsupp.single_left_inj (one_ne_zero : (1 : R) ≠ 0)).mp #align basis.injective Basis.injective theorem repr_symm_single_one : b.repr.symm (Finsupp.single i 1) = b i := rfl #align basis.repr_symm_single_one Basis.repr_symm_single_one
Mathlib/LinearAlgebra/Basis.lean
137
141
theorem repr_symm_single : b.repr.symm (Finsupp.single i c) = c • b i := calc b.repr.symm (Finsupp.single i c) = b.repr.symm (c • Finsupp.single i (1 : R)) := by
{ rw [Finsupp.smul_single', mul_one] } _ = c • b i := by rw [LinearEquiv.map_smul, repr_symm_single_one]
import Mathlib.Tactic.Qify import Mathlib.Data.ZMod.Basic import Mathlib.NumberTheory.DiophantineApproximation import Mathlib.NumberTheory.Zsqrtd.Basic #align_import number_theory.pell from "leanprover-community/mathlib"@"7ad820c4997738e2f542f8a20f32911f52020e26" namespace Pell open Zsqrtd theorem is_pell_solution_iff_mem_unitary {d : ℤ} {a : ℤ√d} : a.re ^ 2 - d * a.im ^ 2 = 1 ↔ a ∈ unitary (ℤ√d) := by rw [← norm_eq_one_iff_mem_unitary, norm_def, sq, sq, ← mul_assoc] #align pell.is_pell_solution_iff_mem_unitary Pell.is_pell_solution_iff_mem_unitary -- We use `solution₁ d` to allow for a more general structure `solution d m` that -- encodes solutions to `x^2 - d*y^2 = m` to be added later. def Solution₁ (d : ℤ) : Type := ↥(unitary (ℤ√d)) #align pell.solution₁ Pell.Solution₁ namespace Solution₁ variable {d : ℤ} -- Porting note(https://github.com/leanprover-community/mathlib4/issues/5020): manual deriving instance instCommGroup : CommGroup (Solution₁ d) := inferInstanceAs (CommGroup (unitary (ℤ√d))) #align pell.solution₁.comm_group Pell.Solution₁.instCommGroup instance instHasDistribNeg : HasDistribNeg (Solution₁ d) := inferInstanceAs (HasDistribNeg (unitary (ℤ√d))) #align pell.solution₁.has_distrib_neg Pell.Solution₁.instHasDistribNeg instance instInhabited : Inhabited (Solution₁ d) := inferInstanceAs (Inhabited (unitary (ℤ√d))) #align pell.solution₁.inhabited Pell.Solution₁.instInhabited instance : Coe (Solution₁ d) (ℤ√d) where coe := Subtype.val protected def x (a : Solution₁ d) : ℤ := (a : ℤ√d).re #align pell.solution₁.x Pell.Solution₁.x protected def y (a : Solution₁ d) : ℤ := (a : ℤ√d).im #align pell.solution₁.y Pell.Solution₁.y theorem prop (a : Solution₁ d) : a.x ^ 2 - d * a.y ^ 2 = 1 := is_pell_solution_iff_mem_unitary.mpr a.property #align pell.solution₁.prop Pell.Solution₁.prop theorem prop_x (a : Solution₁ d) : a.x ^ 2 = 1 + d * a.y ^ 2 := by rw [← a.prop]; ring #align pell.solution₁.prop_x Pell.Solution₁.prop_x theorem prop_y (a : Solution₁ d) : d * a.y ^ 2 = a.x ^ 2 - 1 := by rw [← a.prop]; ring #align pell.solution₁.prop_y Pell.Solution₁.prop_y @[ext] theorem ext {a b : Solution₁ d} (hx : a.x = b.x) (hy : a.y = b.y) : a = b := Subtype.ext <| Zsqrtd.ext _ _ hx hy #align pell.solution₁.ext Pell.Solution₁.ext def mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : Solution₁ d where val := ⟨x, y⟩ property := is_pell_solution_iff_mem_unitary.mp prop #align pell.solution₁.mk Pell.Solution₁.mk @[simp] theorem x_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (mk x y prop).x = x := rfl #align pell.solution₁.x_mk Pell.Solution₁.x_mk @[simp] theorem y_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (mk x y prop).y = y := rfl #align pell.solution₁.y_mk Pell.Solution₁.y_mk @[simp] theorem coe_mk (x y : ℤ) (prop : x ^ 2 - d * y ^ 2 = 1) : (↑(mk x y prop) : ℤ√d) = ⟨x, y⟩ := Zsqrtd.ext _ _ (x_mk x y prop) (y_mk x y prop) #align pell.solution₁.coe_mk Pell.Solution₁.coe_mk @[simp] theorem x_one : (1 : Solution₁ d).x = 1 := rfl #align pell.solution₁.x_one Pell.Solution₁.x_one @[simp] theorem y_one : (1 : Solution₁ d).y = 0 := rfl #align pell.solution₁.y_one Pell.Solution₁.y_one @[simp] theorem x_mul (a b : Solution₁ d) : (a * b).x = a.x * b.x + d * (a.y * b.y) := by rw [← mul_assoc] rfl #align pell.solution₁.x_mul Pell.Solution₁.x_mul @[simp] theorem y_mul (a b : Solution₁ d) : (a * b).y = a.x * b.y + a.y * b.x := rfl #align pell.solution₁.y_mul Pell.Solution₁.y_mul @[simp] theorem x_inv (a : Solution₁ d) : a⁻¹.x = a.x := rfl #align pell.solution₁.x_inv Pell.Solution₁.x_inv @[simp] theorem y_inv (a : Solution₁ d) : a⁻¹.y = -a.y := rfl #align pell.solution₁.y_inv Pell.Solution₁.y_inv @[simp] theorem x_neg (a : Solution₁ d) : (-a).x = -a.x := rfl #align pell.solution₁.x_neg Pell.Solution₁.x_neg @[simp] theorem y_neg (a : Solution₁ d) : (-a).y = -a.y := rfl #align pell.solution₁.y_neg Pell.Solution₁.y_neg
Mathlib/NumberTheory/Pell.lean
209
214
theorem eq_zero_of_d_neg (h₀ : d < 0) (a : Solution₁ d) : a.x = 0 ∨ a.y = 0 := by
have h := a.prop contrapose! h have h1 := sq_pos_of_ne_zero h.1 have h2 := sq_pos_of_ne_zero h.2 nlinarith
import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.Normed.Group.Completion #align_import analysis.normed.group.hom_completion from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" noncomputable section open Set NormedAddGroupHom UniformSpace section Completion variable {G : Type*} [SeminormedAddCommGroup G] {H : Type*} [SeminormedAddCommGroup H] {K : Type*} [SeminormedAddCommGroup K] def NormedAddGroupHom.completion (f : NormedAddGroupHom G H) : NormedAddGroupHom (Completion G) (Completion H) := .ofLipschitz (f.toAddMonoidHom.completion f.continuous) f.lipschitz.completion_map #align normed_add_group_hom.completion NormedAddGroupHom.completion theorem NormedAddGroupHom.completion_def (f : NormedAddGroupHom G H) (x : Completion G) : f.completion x = Completion.map f x := rfl #align normed_add_group_hom.completion_def NormedAddGroupHom.completion_def @[simp] theorem NormedAddGroupHom.completion_coe_to_fun (f : NormedAddGroupHom G H) : (f.completion : Completion G → Completion H) = Completion.map f := rfl #align normed_add_group_hom.completion_coe_to_fun NormedAddGroupHom.completion_coe_to_fun -- Porting note: `@[simp]` moved to the next lemma theorem NormedAddGroupHom.completion_coe (f : NormedAddGroupHom G H) (g : G) : f.completion g = f g := Completion.map_coe f.uniformContinuous _ #align normed_add_group_hom.completion_coe NormedAddGroupHom.completion_coe @[simp] theorem NormedAddGroupHom.completion_coe' (f : NormedAddGroupHom G H) (g : G) : Completion.map f g = f g := f.completion_coe g @[simps] def normedAddGroupHomCompletionHom : NormedAddGroupHom G H →+ NormedAddGroupHom (Completion G) (Completion H) where toFun := NormedAddGroupHom.completion map_zero' := toAddMonoidHom_injective AddMonoidHom.completion_zero map_add' f g := toAddMonoidHom_injective <| f.toAddMonoidHom.completion_add g.toAddMonoidHom f.continuous g.continuous #align normed_add_group_hom_completion_hom normedAddGroupHomCompletionHom #align normed_add_group_hom_completion_hom_apply normedAddGroupHomCompletionHom_apply @[simp] theorem NormedAddGroupHom.completion_id : (NormedAddGroupHom.id G).completion = NormedAddGroupHom.id (Completion G) := by ext x rw [NormedAddGroupHom.completion_def, NormedAddGroupHom.coe_id, Completion.map_id] rfl #align normed_add_group_hom.completion_id NormedAddGroupHom.completion_id theorem NormedAddGroupHom.completion_comp (f : NormedAddGroupHom G H) (g : NormedAddGroupHom H K) : g.completion.comp f.completion = (g.comp f).completion := by ext x rw [NormedAddGroupHom.coe_comp, NormedAddGroupHom.completion_def, NormedAddGroupHom.completion_coe_to_fun, NormedAddGroupHom.completion_coe_to_fun, Completion.map_comp g.uniformContinuous f.uniformContinuous] rfl #align normed_add_group_hom.completion_comp NormedAddGroupHom.completion_comp theorem NormedAddGroupHom.completion_neg (f : NormedAddGroupHom G H) : (-f).completion = -f.completion := map_neg (normedAddGroupHomCompletionHom : NormedAddGroupHom G H →+ _) f #align normed_add_group_hom.completion_neg NormedAddGroupHom.completion_neg theorem NormedAddGroupHom.completion_add (f g : NormedAddGroupHom G H) : (f + g).completion = f.completion + g.completion := normedAddGroupHomCompletionHom.map_add f g #align normed_add_group_hom.completion_add NormedAddGroupHom.completion_add theorem NormedAddGroupHom.completion_sub (f g : NormedAddGroupHom G H) : (f - g).completion = f.completion - g.completion := map_sub (normedAddGroupHomCompletionHom : NormedAddGroupHom G H →+ _) f g #align normed_add_group_hom.completion_sub NormedAddGroupHom.completion_sub @[simp] theorem NormedAddGroupHom.zero_completion : (0 : NormedAddGroupHom G H).completion = 0 := normedAddGroupHomCompletionHom.map_zero #align normed_add_group_hom.zero_completion NormedAddGroupHom.zero_completion @[simps] -- Porting note: added `@[simps]` def NormedAddCommGroup.toCompl : NormedAddGroupHom G (Completion G) where toFun := (↑) map_add' := Completion.toCompl.map_add bound' := ⟨1, by simp [le_refl]⟩ #align normed_add_comm_group.to_compl NormedAddCommGroup.toCompl open NormedAddCommGroup theorem NormedAddCommGroup.norm_toCompl (x : G) : ‖toCompl x‖ = ‖x‖ := Completion.norm_coe x #align normed_add_comm_group.norm_to_compl NormedAddCommGroup.norm_toCompl theorem NormedAddCommGroup.denseRange_toCompl : DenseRange (toCompl : G → Completion G) := Completion.denseInducing_coe.dense #align normed_add_comm_group.dense_range_to_compl NormedAddCommGroup.denseRange_toCompl @[simp]
Mathlib/Analysis/Normed/Group/HomCompletion.lean
155
156
theorem NormedAddGroupHom.completion_toCompl (f : NormedAddGroupHom G H) : f.completion.comp toCompl = toCompl.comp f := by
ext x; simp
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section iInf variable {ι : Sort*} {f g : ι → ℝ≥0∞} variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toNNReal_iInf (hf : ∀ i, f i ≠ ∞) : (iInf f).toNNReal = ⨅ i, (f i).toNNReal := by cases isEmpty_or_nonempty ι · rw [iInf_of_empty, top_toNNReal, NNReal.iInf_empty] · lift f to ι → ℝ≥0 using hf simp_rw [← coe_iInf, toNNReal_coe] #align ennreal.to_nnreal_infi ENNReal.toNNReal_iInf theorem toNNReal_sInf (s : Set ℝ≥0∞) (hs : ∀ r ∈ s, r ≠ ∞) : (sInf s).toNNReal = sInf (ENNReal.toNNReal '' s) := by have hf : ∀ i, ((↑) : s → ℝ≥0∞) i ≠ ∞ := fun ⟨r, rs⟩ => hs r rs -- Porting note: `← sInf_image'` had to be replaced by `← image_eq_range` as the lemmas are used -- in a different order. simpa only [← sInf_range, ← image_eq_range, Subtype.range_coe_subtype] using (toNNReal_iInf hf) #align ennreal.to_nnreal_Inf ENNReal.toNNReal_sInf theorem toNNReal_iSup (hf : ∀ i, f i ≠ ∞) : (iSup f).toNNReal = ⨆ i, (f i).toNNReal := by lift f to ι → ℝ≥0 using hf simp_rw [toNNReal_coe] by_cases h : BddAbove (range f) · rw [← coe_iSup h, toNNReal_coe] · rw [NNReal.iSup_of_not_bddAbove h, iSup_coe_eq_top.2 h, top_toNNReal] #align ennreal.to_nnreal_supr ENNReal.toNNReal_iSup theorem toNNReal_sSup (s : Set ℝ≥0∞) (hs : ∀ r ∈ s, r ≠ ∞) : (sSup s).toNNReal = sSup (ENNReal.toNNReal '' s) := by have hf : ∀ i, ((↑) : s → ℝ≥0∞) i ≠ ∞ := fun ⟨r, rs⟩ => hs r rs -- Porting note: `← sSup_image'` had to be replaced by `← image_eq_range` as the lemmas are used -- in a different order. simpa only [← sSup_range, ← image_eq_range, Subtype.range_coe_subtype] using (toNNReal_iSup hf) #align ennreal.to_nnreal_Sup ENNReal.toNNReal_sSup
Mathlib/Data/ENNReal/Real.lean
572
573
theorem toReal_iInf (hf : ∀ i, f i ≠ ∞) : (iInf f).toReal = ⨅ i, (f i).toReal := by
simp only [ENNReal.toReal, toNNReal_iInf hf, NNReal.coe_iInf]
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.Archimedean import Mathlib.Algebra.Order.Group.Instances import Mathlib.GroupTheory.GroupAction.Pi open Function Set structure AddConstMap (G H : Type*) [Add G] [Add H] (a : G) (b : H) where protected toFun : G → H map_add_const' (x : G) : toFun (x + a) = toFun x + b @[inherit_doc] scoped [AddConstMap] notation:25 G " →+c[" a ", " b "] " H => AddConstMap G H a b class AddConstMapClass (F : Type*) (G H : outParam Type*) [Add G] [Add H] (a : outParam G) (b : outParam H) extends DFunLike F G fun _ ↦ H where map_add_const (f : F) (x : G) : f (x + a) = f x + b namespace AddConstMapClass attribute [simp] map_add_const variable {F G H : Type*} {a : G} {b : H} protected theorem semiconj [Add G] [Add H] [AddConstMapClass F G H a b] (f : F) : Semiconj f (· + a) (· + b) := map_add_const f @[simp]
Mathlib/Algebra/AddConstMap/Basic.lean
73
75
theorem map_add_nsmul [AddMonoid G] [AddMonoid H] [AddConstMapClass F G H a b] (f : F) (x : G) (n : ℕ) : f (x + n • a) = f x + n • b := by
simpa using (AddConstMapClass.semiconj f).iterate_right n x
import Mathlib.MeasureTheory.Measure.Typeclasses import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated open Function Set open scoped ENNReal Classical noncomputable section variable {α β δ : Type*} [MeasurableSpace α] [MeasurableSpace β] {s : Set α} {a : α} namespace MeasureTheory namespace Measure def dirac (a : α) : Measure α := (OuterMeasure.dirac a).toMeasure (by simp) #align measure_theory.measure.dirac MeasureTheory.Measure.dirac instance : MeasureSpace PUnit := ⟨dirac PUnit.unit⟩ theorem le_dirac_apply {a} : s.indicator 1 a ≤ dirac a s := OuterMeasure.dirac_apply a s ▸ le_toMeasure_apply _ _ _ #align measure_theory.measure.le_dirac_apply MeasureTheory.Measure.le_dirac_apply @[simp] theorem dirac_apply' (a : α) (hs : MeasurableSet s) : dirac a s = s.indicator 1 a := toMeasure_apply _ _ hs #align measure_theory.measure.dirac_apply' MeasureTheory.Measure.dirac_apply' @[simp] theorem dirac_apply_of_mem {a : α} (h : a ∈ s) : dirac a s = 1 := by have : ∀ t : Set α, a ∈ t → t.indicator (1 : α → ℝ≥0∞) a = 1 := fun t ht => indicator_of_mem ht 1 refine le_antisymm (this univ trivial ▸ ?_) (this s h ▸ le_dirac_apply) rw [← dirac_apply' a MeasurableSet.univ] exact measure_mono (subset_univ s) #align measure_theory.measure.dirac_apply_of_mem MeasureTheory.Measure.dirac_apply_of_mem @[simp] theorem dirac_apply [MeasurableSingletonClass α] (a : α) (s : Set α) : dirac a s = s.indicator 1 a := by by_cases h : a ∈ s; · rw [dirac_apply_of_mem h, indicator_of_mem h, Pi.one_apply] rw [indicator_of_not_mem h, ← nonpos_iff_eq_zero] calc dirac a s ≤ dirac a {a}ᶜ := measure_mono (subset_compl_comm.1 <| singleton_subset_iff.2 h) _ = 0 := by simp [dirac_apply' _ (measurableSet_singleton _).compl] #align measure_theory.measure.dirac_apply MeasureTheory.Measure.dirac_apply theorem map_dirac {f : α → β} (hf : Measurable f) (a : α) : (dirac a).map f = dirac (f a) := ext fun s hs => by simp [hs, map_apply hf hs, hf hs, indicator_apply] #align measure_theory.measure.map_dirac MeasureTheory.Measure.map_dirac lemma map_const (μ : Measure α) (c : β) : μ.map (fun _ ↦ c) = (μ Set.univ) • dirac c := by ext s hs simp only [aemeasurable_const, measurable_const, Measure.coe_smul, Pi.smul_apply, dirac_apply' _ hs, smul_eq_mul] classical rw [Measure.map_apply measurable_const hs, Set.preimage_const] by_cases hsc : c ∈ s · rw [(Set.indicator_eq_one_iff_mem _).mpr hsc, mul_one, if_pos hsc] · rw [if_neg hsc, (Set.indicator_eq_zero_iff_not_mem _).mpr hsc, measure_empty, mul_zero] @[simp]
Mathlib/MeasureTheory/Measure/Dirac.lean
77
83
theorem restrict_singleton (μ : Measure α) (a : α) : μ.restrict {a} = μ {a} • dirac a := by
ext1 s hs by_cases ha : a ∈ s · have : s ∩ {a} = {a} := by simpa simp [*] · have : s ∩ {a} = ∅ := inter_singleton_eq_empty.2 ha simp [*]
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Data.Vector.Defs import Mathlib.Data.List.Nodup import Mathlib.Data.List.OfFn import Mathlib.Data.List.InsertNth import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" set_option autoImplicit true universe u variable {n : ℕ} namespace Vector variable {α : Type*} @[inherit_doc] infixr:67 " ::ᵥ " => Vector.cons attribute [simp] head_cons tail_cons instance [Inhabited α] : Inhabited (Vector α n) := ⟨ofFn default⟩ theorem toList_injective : Function.Injective (@toList α n) := Subtype.val_injective #align vector.to_list_injective Vector.toList_injective @[ext] theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w | ⟨v, hv⟩, ⟨w, hw⟩, h => Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩) #align vector.ext Vector.ext instance zero_subsingleton : Subsingleton (Vector α 0) := ⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩ #align vector.zero_subsingleton Vector.zero_subsingleton @[simp] theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val | ⟨_, _⟩ => rfl #align vector.cons_val Vector.cons_val #align vector.cons_head Vector.head_cons #align vector.cons_tail Vector.tail_cons theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' := ⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h => _root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩ #align vector.eq_cons_iff Vector.eq_cons_iff
Mathlib/Data/Vector/Basic.lean
71
72
theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by
rw [Ne, eq_cons_iff a v v', not_and_or]
import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Integral.PeakFunction #align_import analysis.special_functions.trigonometric.euler_sine_prod from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open scoped Real Topology open Real Set Filter intervalIntegral MeasureTheory.MeasureSpace namespace EulerSine section IntegralRecursion variable {z : ℂ} {n : ℕ} theorem antideriv_cos_comp_const_mul (hz : z ≠ 0) (x : ℝ) : HasDerivAt (fun y : ℝ => Complex.sin (2 * z * y) / (2 * z)) (Complex.cos (2 * z * x)) x := by have a : HasDerivAt (fun y : ℂ => y * (2 * z)) _ x := hasDerivAt_mul_const _ have b : HasDerivAt (fun y : ℂ => Complex.sin (y * (2 * z))) _ x := HasDerivAt.comp (x : ℂ) (Complex.hasDerivAt_sin (x * (2 * z))) a have c := b.comp_ofReal.div_const (2 * z) field_simp at c; simp only [fun y => mul_comm y (2 * z)] at c exact c #align euler_sine.antideriv_cos_comp_const_mul EulerSine.antideriv_cos_comp_const_mul
Mathlib/Analysis/SpecialFunctions/Trigonometric/EulerSineProd.lean
49
56
theorem antideriv_sin_comp_const_mul (hz : z ≠ 0) (x : ℝ) : HasDerivAt (fun y : ℝ => -Complex.cos (2 * z * y) / (2 * z)) (Complex.sin (2 * z * x)) x := by
have a : HasDerivAt (fun y : ℂ => y * (2 * z)) _ x := hasDerivAt_mul_const _ have b : HasDerivAt (fun y : ℂ => Complex.cos (y * (2 * z))) _ x := HasDerivAt.comp (x : ℂ) (Complex.hasDerivAt_cos (x * (2 * z))) a have c := (b.comp_ofReal.div_const (2 * z)).neg field_simp at c; simp only [fun y => mul_comm y (2 * z)] at c exact c
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm] #align inv_mul_le_iff' inv_mul_le_iff' theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h] #align mul_inv_le_iff mul_inv_le_iff
Mathlib/Algebra/Order/Field/Basic.lean
110
110
theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by
rw [mul_comm, inv_mul_le_iff' h]
import Mathlib.Analysis.Calculus.FDeriv.Bilinear #align_import analysis.calculus.fderiv.mul from "leanprover-community/mathlib"@"d608fc5d4e69d4cc21885913fb573a88b0deb521" open scoped Classical open Filter Asymptotics ContinuousLinearMap Set Metric Topology NNReal ENNReal noncomputable section section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E} section Mul variable {𝔸 𝔸' : Type*} [NormedRing 𝔸] [NormedCommRing 𝔸'] [NormedAlgebra 𝕜 𝔸] [NormedAlgebra 𝕜 𝔸'] {a b : E → 𝔸} {a' b' : E →L[𝕜] 𝔸} {c d : E → 𝔸'} {c' d' : E →L[𝕜] 𝔸'} @[fun_prop] theorem HasStrictFDerivAt.mul' {x : E} (ha : HasStrictFDerivAt a a' x) (hb : HasStrictFDerivAt b b' x) : HasStrictFDerivAt (fun y => a y * b y) (a x • b' + a'.smulRight (b x)) x := ((ContinuousLinearMap.mul 𝕜 𝔸).isBoundedBilinearMap.hasStrictFDerivAt (a x, b x)).comp x (ha.prod hb) #align has_strict_fderiv_at.mul' HasStrictFDerivAt.mul' @[fun_prop]
Mathlib/Analysis/Calculus/FDeriv/Mul.lean
376
380
theorem HasStrictFDerivAt.mul (hc : HasStrictFDerivAt c c' x) (hd : HasStrictFDerivAt d d' x) : HasStrictFDerivAt (fun y => c y * d y) (c x • d' + d x • c') x := by
convert hc.mul' hd ext z apply mul_comm
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 GeneralizedHeytingAlgebra variable [GeneralizedHeytingAlgebra α] (a b c d : α) @[simp] theorem toDual_bihimp : toDual (a ⇔ b) = toDual a ∆ toDual b := rfl #align to_dual_bihimp toDual_bihimp @[simp] theorem ofDual_symmDiff (a b : αᵒᵈ) : ofDual (a ∆ b) = ofDual a ⇔ ofDual b := rfl #align of_dual_symm_diff ofDual_symmDiff theorem bihimp_comm : a ⇔ b = b ⇔ a := by simp only [(· ⇔ ·), inf_comm] #align bihimp_comm bihimp_comm instance bihimp_isCommutative : Std.Commutative (α := α) (· ⇔ ·) := ⟨bihimp_comm⟩ #align bihimp_is_comm bihimp_isCommutative @[simp] theorem bihimp_self : a ⇔ a = ⊤ := by rw [bihimp, inf_idem, himp_self] #align bihimp_self bihimp_self @[simp]
Mathlib/Order/SymmDiff.lean
252
252
theorem bihimp_top : a ⇔ ⊤ = a := by
rw [bihimp, himp_top, top_himp, inf_top_eq]
import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Nat.Prime import Mathlib.Data.List.Prime import Mathlib.Data.List.Sort import Mathlib.Data.List.Chain #align_import data.nat.factors from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" open Bool Subtype open Nat namespace Nat attribute [instance 0] instBEqNat def factors : ℕ → List ℕ | 0 => [] | 1 => [] | k + 2 => let m := minFac (k + 2) m :: factors ((k + 2) / m) decreasing_by show (k + 2) / m < (k + 2); exact factors_lemma #align nat.factors Nat.factors @[simp] theorem factors_zero : factors 0 = [] := by rw [factors] #align nat.factors_zero Nat.factors_zero @[simp] theorem factors_one : factors 1 = [] := by rw [factors] #align nat.factors_one Nat.factors_one @[simp] theorem factors_two : factors 2 = [2] := by simp [factors] theorem prime_of_mem_factors {n : ℕ} : ∀ {p : ℕ}, (h : p ∈ factors n) → Prime p := by match n with | 0 => simp | 1 => simp | k + 2 => intro p h let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma have h₁ : p = m ∨ p ∈ factors ((k + 2) / m) := List.mem_cons.1 (by rwa [factors] at h) exact Or.casesOn h₁ (fun h₂ => h₂.symm ▸ minFac_prime (by simp)) prime_of_mem_factors #align nat.prime_of_mem_factors Nat.prime_of_mem_factors theorem pos_of_mem_factors {n p : ℕ} (h : p ∈ factors n) : 0 < p := Prime.pos (prime_of_mem_factors h) #align nat.pos_of_mem_factors Nat.pos_of_mem_factors theorem prod_factors : ∀ {n}, n ≠ 0 → List.prod (factors n) = n | 0 => by simp | 1 => by simp | k + 2 => fun _ => let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma show (factors (k + 2)).prod = (k + 2) by have h₁ : (k + 2) / m ≠ 0 := fun h => by have : (k + 2) = 0 * m := (Nat.div_eq_iff_eq_mul_left (minFac_pos _) (minFac_dvd _)).1 h rw [zero_mul] at this; exact (show k + 2 ≠ 0 by simp) this rw [factors, List.prod_cons, prod_factors h₁, Nat.mul_div_cancel' (minFac_dvd _)] #align nat.prod_factors Nat.prod_factors theorem factors_prime {p : ℕ} (hp : Nat.Prime p) : p.factors = [p] := by have : p = p - 2 + 2 := (tsub_eq_iff_eq_add_of_le hp.two_le).mp rfl rw [this, Nat.factors] simp only [Eq.symm this] have : Nat.minFac p = p := (Nat.prime_def_minFac.mp hp).2 simp only [this, Nat.factors, Nat.div_self (Nat.Prime.pos hp)] #align nat.factors_prime Nat.factors_prime
Mathlib/Data/Nat/Factors.lean
93
104
theorem factors_chain {n : ℕ} : ∀ {a}, (∀ p, Prime p → p ∣ n → a ≤ p) → List.Chain (· ≤ ·) a (factors n) := by
match n with | 0 => simp | 1 => simp | k + 2 => intro a h let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma rw [factors] refine List.Chain.cons ((le_minFac.2 h).resolve_left (by simp)) (factors_chain ?_) exact fun p pp d => minFac_le_of_dvd pp.two_le (d.trans <| div_dvd_of_dvd <| minFac_dvd _)
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section ConditionallyCompleteLinearOrder variable [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β] [OrderClosedTopology β] [Nonempty γ] theorem Monotone.map_sSup_of_continuousAt' {f : α → β} {A : Set α} (Cf : ContinuousAt f (sSup A)) (Mf : Monotone f) (A_nonemp : A.Nonempty) (A_bdd : BddAbove A := by bddDefault) : f (sSup A) = sSup (f '' A) := --This is a particular case of the more general `IsLUB.isLUB_of_tendsto` .symm <| ((isLUB_csSup A_nonemp A_bdd).isLUB_of_tendsto (Mf.monotoneOn _) A_nonemp <| Cf.mono_left inf_le_left).csSup_eq (A_nonemp.image f) #align monotone.map_Sup_of_continuous_at' Monotone.map_sSup_of_continuousAt'
Mathlib/Topology/Order/Monotone.lean
41
45
theorem Monotone.map_iSup_of_continuousAt' {ι : Sort*} [Nonempty ι] {f : α → β} {g : ι → α} (Cf : ContinuousAt f (iSup g)) (Mf : Monotone f) (bdd : BddAbove (range g) := by
bddDefault) : f (⨆ i, g i) = ⨆ i, f (g i) := by rw [iSup, Monotone.map_sSup_of_continuousAt' Cf Mf (range_nonempty g) bdd, ← range_comp, iSup] rfl
import Mathlib.Algebra.Group.Defs #align_import algebra.invertible from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422" assert_not_exists MonoidWithZero assert_not_exists DenselyOrdered universe u variable {α : Type u} class Invertible [Mul α] [One α] (a : α) : Type u where invOf : α invOf_mul_self : invOf * a = 1 mul_invOf_self : a * invOf = 1 #align invertible Invertible prefix:max "⅟" =>-- This notation has the same precedence as `Inv.inv`. Invertible.invOf @[simp] theorem invOf_mul_self' [Mul α] [One α] (a : α) {_ : Invertible a} : ⅟ a * a = 1 := Invertible.invOf_mul_self theorem invOf_mul_self [Mul α] [One α] (a : α) [Invertible a] : ⅟ a * a = 1 := Invertible.invOf_mul_self #align inv_of_mul_self invOf_mul_self @[simp] theorem mul_invOf_self' [Mul α] [One α] (a : α) {_ : Invertible a} : a * ⅟ a = 1 := Invertible.mul_invOf_self theorem mul_invOf_self [Mul α] [One α] (a : α) [Invertible a] : a * ⅟ a = 1 := Invertible.mul_invOf_self #align mul_inv_of_self mul_invOf_self @[simp]
Mathlib/Algebra/Group/Invertible/Defs.lean
117
118
theorem invOf_mul_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : ⅟ a * (a * b) = b := by
rw [← mul_assoc, invOf_mul_self, one_mul]
import Mathlib.Data.Matroid.Dual open Set namespace Matroid variable {α : Type*} {M : Matroid α} {R I J X Y : Set α} section restrict @[simps] def restrictIndepMatroid (M : Matroid α) (R : Set α) : IndepMatroid α where E := R Indep I := M.Indep I ∧ I ⊆ R indep_empty := ⟨M.empty_indep, empty_subset _⟩ indep_subset := fun I J h hIJ ↦ ⟨h.1.subset hIJ, hIJ.trans h.2⟩ indep_aug := by rintro I I' ⟨hI, hIY⟩ (hIn : ¬ M.Basis' I R) (hI' : M.Basis' I' R) rw [basis'_iff_basis_inter_ground] at hIn hI' obtain ⟨B', hB', rfl⟩ := hI'.exists_base obtain ⟨B, hB, hIB, hBIB'⟩ := hI.exists_base_subset_union_base hB' rw [hB'.inter_basis_iff_compl_inter_basis_dual, diff_inter_diff] at hI' have hss : M.E \ (B' ∪ (R ∩ M.E)) ⊆ M.E \ (B ∪ (R ∩ M.E)) := by apply diff_subset_diff_right rw [union_subset_iff, and_iff_left subset_union_right, union_comm] exact hBIB'.trans (union_subset_union_left _ (subset_inter hIY hI.subset_ground)) have hi : M✶.Indep (M.E \ (B ∪ (R ∩ M.E))) := by rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_right subset_union_left disjoint_sdiff_left⟩ have h_eq := hI'.eq_of_subset_indep hi hss (diff_subset_diff_right subset_union_right) rw [h_eq, ← diff_inter_diff, ← hB.inter_basis_iff_compl_inter_basis_dual] at hI' obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis_of_subset (subset_inter hIB (subset_inter hIY hI.subset_ground)) obtain rfl := hI'.indep.eq_of_basis hJ have hIJ' : I ⊂ B ∩ (R ∩ M.E) := hIJ.ssubset_of_ne (fun he ↦ hIn (by rwa [he])) obtain ⟨e, he⟩ := exists_of_ssubset hIJ' exact ⟨e, ⟨⟨(hBIB' he.1.1).elim (fun h ↦ (he.2 h).elim) id,he.1.2⟩, he.2⟩, hI'.indep.subset (insert_subset he.1 hIJ), insert_subset he.1.2.1 hIY⟩ indep_maximal := by rintro A hAX I ⟨hI, _⟩ hIA obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis'_of_subset hIA; use J rw [mem_maximals_setOf_iff, and_iff_left hJ.subset, and_iff_left hIJ, and_iff_right ⟨hJ.indep, hJ.subset.trans hAX⟩] exact fun K ⟨⟨hK, _⟩, _, hKA⟩ hJK ↦ hJ.eq_of_subset_indep hK hJK hKA subset_ground I := And.right def restrict (M : Matroid α) (R : Set α) : Matroid α := (M.restrictIndepMatroid R).matroid scoped infixl:65 " ↾ " => Matroid.restrict @[simp] theorem restrict_indep_iff : (M ↾ R).Indep I ↔ M.Indep I ∧ I ⊆ R := Iff.rfl theorem Indep.indep_restrict_of_subset (h : M.Indep I) (hIR : I ⊆ R) : (M ↾ R).Indep I := restrict_indep_iff.mpr ⟨h,hIR⟩ theorem Indep.of_restrict (hI : (M ↾ R).Indep I) : M.Indep I := (restrict_indep_iff.1 hI).1 @[simp] theorem restrict_ground_eq : (M ↾ R).E = R := rfl theorem restrict_finite {R : Set α} (hR : R.Finite) : (M ↾ R).Finite := ⟨hR⟩ @[simp] theorem restrict_dep_iff : (M ↾ R).Dep X ↔ ¬ M.Indep X ∧ X ⊆ R := by rw [Dep, restrict_indep_iff, restrict_ground_eq]; tauto @[simp] theorem restrict_ground_eq_self (M : Matroid α) : (M ↾ M.E) = M := by refine eq_of_indep_iff_indep_forall rfl ?_; aesop theorem restrict_restrict_eq {R₁ R₂ : Set α} (M : Matroid α) (hR : R₂ ⊆ R₁) : (M ↾ R₁) ↾ R₂ = M ↾ R₂ := by refine eq_of_indep_iff_indep_forall rfl ?_ simp only [restrict_ground_eq, restrict_indep_iff, and_congr_left_iff, and_iff_left_iff_imp] exact fun _ h _ _ ↦ h.trans hR @[simp] theorem restrict_idem (M : Matroid α) (R : Set α) : M ↾ R ↾ R = M ↾ R := by rw [M.restrict_restrict_eq Subset.rfl] @[simp] theorem base_restrict_iff (hX : X ⊆ M.E := by aesop_mat) : (M ↾ X).Base I ↔ M.Basis I X := by simp_rw [base_iff_maximal_indep, basis_iff', restrict_indep_iff, and_iff_left hX, and_assoc] aesop theorem base_restrict_iff' : (M ↾ X).Base I ↔ M.Basis' I X := by simp_rw [Basis', base_iff_maximal_indep, mem_maximals_setOf_iff, restrict_indep_iff]
Mathlib/Data/Matroid/Restrict.lean
159
163
theorem Basis.restrict_base (h : M.Basis I X) : (M ↾ X).Base I := by
rw [basis_iff'] at h simp_rw [base_iff_maximal_indep, restrict_indep_iff, and_imp, and_assoc, and_iff_right h.1.1, and_iff_right h.1.2.1] exact fun J hJ hJX hIJ ↦ h.1.2.2 _ hJ hIJ hJX
import Mathlib.CategoryTheory.Limits.Preserves.Finite import Mathlib.CategoryTheory.Sites.Canonical import Mathlib.CategoryTheory.Sites.Coherent.Basic import Mathlib.CategoryTheory.Sites.Preserves universe v u w namespace CategoryTheory open Limits variable {C : Type u} [Category.{v} C] variable [FinitaryPreExtensive C] class Presieve.Extensive {X : C} (R : Presieve X) : Prop where arrows_nonempty_isColimit : ∃ (α : Type) (_ : Finite α) (Z : α → C) (π : (a : α) → (Z a ⟶ X)), R = Presieve.ofArrows Z π ∧ Nonempty (IsColimit (Cofan.mk X π)) instance {X : C} (S : Presieve X) [S.Extensive] : S.hasPullbacks where has_pullbacks := by obtain ⟨_, _, _, _, rfl, ⟨hc⟩⟩ := Presieve.Extensive.arrows_nonempty_isColimit (R := S) intro _ _ _ _ _ hg cases hg apply FinitaryPreExtensive.hasPullbacks_of_is_coproduct hc open Presieve Opposite
Mathlib/CategoryTheory/Sites/Coherent/ExtensiveSheaves.lean
52
58
theorem isSheafFor_extensive_of_preservesFiniteProducts {X : C} (S : Presieve X) [S.Extensive] (F : Cᵒᵖ ⥤ Type w) [PreservesFiniteProducts F] : S.IsSheafFor F := by
obtain ⟨α, _, Z, π, rfl, ⟨hc⟩⟩ := Extensive.arrows_nonempty_isColimit (R := S) have : (ofArrows Z (Cofan.mk X π).inj).hasPullbacks := (inferInstance : (ofArrows Z π).hasPullbacks) cases nonempty_fintype α exact isSheafFor_of_preservesProduct _ _ hc
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Algebra.Group.Prod import Mathlib.Data.Multiset.Basic #align_import algebra.big_operators.multiset.basic from "leanprover-community/mathlib"@"6c5f73fd6f6cc83122788a80a27cdd54663609f4" assert_not_exists MonoidWithZero variable {F ι α β γ : Type*} namespace Multiset section CommMonoid variable [CommMonoid α] [CommMonoid β] {s t : Multiset α} {a : α} {m : Multiset ι} {f g : ι → α} @[to_additive "Sum of a multiset given a commutative additive monoid structure on `α`. `sum {a, b, c} = a + b + c`"] def prod : Multiset α → α := foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 #align multiset.prod Multiset.prod #align multiset.sum Multiset.sum @[to_additive] theorem prod_eq_foldr (s : Multiset α) : prod s = foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 s := rfl #align multiset.prod_eq_foldr Multiset.prod_eq_foldr #align multiset.sum_eq_foldr Multiset.sum_eq_foldr @[to_additive] theorem prod_eq_foldl (s : Multiset α) : prod s = foldl (· * ·) (fun x y z => by simp [mul_right_comm]) 1 s := (foldr_swap _ _ _ _).trans (by simp [mul_comm]) #align multiset.prod_eq_foldl Multiset.prod_eq_foldl #align multiset.sum_eq_foldl Multiset.sum_eq_foldl @[to_additive (attr := simp, norm_cast)] theorem prod_coe (l : List α) : prod ↑l = l.prod := prod_eq_foldl _ #align multiset.coe_prod Multiset.prod_coe #align multiset.coe_sum Multiset.sum_coe @[to_additive (attr := simp)]
Mathlib/Algebra/BigOperators/Group/Multiset.lean
66
68
theorem prod_toList (s : Multiset α) : s.toList.prod = s.prod := by
conv_rhs => rw [← coe_toList s] rw [prod_coe]
import Mathlib.Analysis.Normed.Group.Basic #align_import information_theory.hamming from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3" section HammingDistNorm open Finset Function variable {α ι : Type*} {β : ι → Type*} [Fintype ι] [∀ i, DecidableEq (β i)] variable {γ : ι → Type*} [∀ i, DecidableEq (γ i)] def hammingDist (x y : ∀ i, β i) : ℕ := (univ.filter fun i => x i ≠ y i).card #align hamming_dist hammingDist @[simp] theorem hammingDist_self (x : ∀ i, β i) : hammingDist x x = 0 := by rw [hammingDist, card_eq_zero, filter_eq_empty_iff] exact fun _ _ H => H rfl #align hamming_dist_self hammingDist_self theorem hammingDist_nonneg {x y : ∀ i, β i} : 0 ≤ hammingDist x y := zero_le _ #align hamming_dist_nonneg hammingDist_nonneg theorem hammingDist_comm (x y : ∀ i, β i) : hammingDist x y = hammingDist y x := by simp_rw [hammingDist, ne_comm] #align hamming_dist_comm hammingDist_comm theorem hammingDist_triangle (x y z : ∀ i, β i) : hammingDist x z ≤ hammingDist x y + hammingDist y z := by classical unfold hammingDist refine le_trans (card_mono ?_) (card_union_le _ _) rw [← filter_or] exact monotone_filter_right _ fun i h ↦ (h.ne_or_ne _).imp_right Ne.symm #align hamming_dist_triangle hammingDist_triangle
Mathlib/InformationTheory/Hamming.lean
71
74
theorem hammingDist_triangle_left (x y z : ∀ i, β i) : hammingDist x y ≤ hammingDist z x + hammingDist z y := by
rw [hammingDist_comm z] exact hammingDist_triangle _ _ _
import Mathlib.Data.Real.Basic #align_import data.real.sign from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Real noncomputable def sign (r : ℝ) : ℝ := if r < 0 then -1 else if 0 < r then 1 else 0 #align real.sign Real.sign theorem sign_of_neg {r : ℝ} (hr : r < 0) : sign r = -1 := by rw [sign, if_pos hr] #align real.sign_of_neg Real.sign_of_neg theorem sign_of_pos {r : ℝ} (hr : 0 < r) : sign r = 1 := by rw [sign, if_pos hr, if_neg hr.not_lt] #align real.sign_of_pos Real.sign_of_pos @[simp] theorem sign_zero : sign 0 = 0 := by rw [sign, if_neg (lt_irrefl _), if_neg (lt_irrefl _)] #align real.sign_zero Real.sign_zero @[simp] theorem sign_one : sign 1 = 1 := sign_of_pos <| by norm_num #align real.sign_one Real.sign_one theorem sign_apply_eq (r : ℝ) : sign r = -1 ∨ sign r = 0 ∨ sign r = 1 := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · exact Or.inl <| sign_of_neg hn · exact Or.inr <| Or.inl <| sign_zero · exact Or.inr <| Or.inr <| sign_of_pos hp #align real.sign_apply_eq Real.sign_apply_eq theorem sign_apply_eq_of_ne_zero (r : ℝ) (h : r ≠ 0) : sign r = -1 ∨ sign r = 1 := h.lt_or_lt.imp sign_of_neg sign_of_pos #align real.sign_apply_eq_of_ne_zero Real.sign_apply_eq_of_ne_zero @[simp] theorem sign_eq_zero_iff {r : ℝ} : sign r = 0 ↔ r = 0 := by refine ⟨fun h => ?_, fun h => h.symm ▸ sign_zero⟩ obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn, neg_eq_zero] at h exact (one_ne_zero h).elim · rfl · rw [sign_of_pos hp] at h exact (one_ne_zero h).elim #align real.sign_eq_zero_iff Real.sign_eq_zero_iff theorem sign_intCast (z : ℤ) : sign (z : ℝ) = ↑(Int.sign z) := by obtain hn | rfl | hp := lt_trichotomy z (0 : ℤ) · rw [sign_of_neg (Int.cast_lt_zero.mpr hn), Int.sign_eq_neg_one_of_neg hn, Int.cast_neg, Int.cast_one] · rw [Int.cast_zero, sign_zero, Int.sign_zero, Int.cast_zero] · rw [sign_of_pos (Int.cast_pos.mpr hp), Int.sign_eq_one_of_pos hp, Int.cast_one] #align real.sign_int_cast Real.sign_intCast @[deprecated (since := "2024-04-17")] alias sign_int_cast := sign_intCast theorem sign_neg {r : ℝ} : sign (-r) = -sign r := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn, sign_of_pos (neg_pos.mpr hn), neg_neg] · rw [sign_zero, neg_zero, sign_zero] · rw [sign_of_pos hp, sign_of_neg (neg_lt_zero.mpr hp)] #align real.sign_neg Real.sign_neg theorem sign_mul_nonneg (r : ℝ) : 0 ≤ sign r * r := by obtain hn | rfl | hp := lt_trichotomy r (0 : ℝ) · rw [sign_of_neg hn] exact mul_nonneg_of_nonpos_of_nonpos (by norm_num) hn.le · rw [mul_zero] · rw [sign_of_pos hp, one_mul] exact hp.le #align real.sign_mul_nonneg Real.sign_mul_nonneg
Mathlib/Data/Real/Sign.lean
101
104
theorem sign_mul_pos_of_ne_zero (r : ℝ) (hr : r ≠ 0) : 0 < sign r * r := by
refine lt_of_le_of_ne (sign_mul_nonneg r) fun h => hr ?_ have hs0 := (zero_eq_mul.mp h).resolve_right hr exact sign_eq_zero_iff.mp hs0
import ProofWidgets.Component.HtmlDisplay open scoped ProofWidgets.Jsx -- ⟵ remember this! def htmlLetters : Array ProofWidgets.Html := #[ <span style={json% {color: "red"}}>H</span>, <span style={json% {color: "yellow"}}>T</span>, <span style={json% {color: "green"}}>M</span>, <span style={json% {color: "blue"}}>L</span> ] def x := <b>You can use {...htmlLetters} {.text " "} in lean! {.text <| toString <| 4 + 5} <hr/> </b> -- Put your cursor over this #html x
.lake/packages/proofwidgets/ProofWidgets/Demos/Jsx.lean
18
24
theorem ghjk : True := by
-- Put your cursor over any of the `html!` lines html! <b>What, HTML in Lean?! </b> html! <i>And another!</i> -- attributes and text nodes can be interpolated html! <img src={ "https://" ++ "upload.wikimedia.org/wikipedia/commons/a/a5/Parrot_montage.jpg"} alt="parrots" /> trivial
import Mathlib.Geometry.Manifold.MFDeriv.Basic noncomputable section open scoped Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {f : E → E'} {s : Set E} {x : E} section MFDerivFderiv theorem uniqueMDiffWithinAt_iff_uniqueDiffWithinAt : UniqueMDiffWithinAt 𝓘(𝕜, E) s x ↔ UniqueDiffWithinAt 𝕜 s x := by simp only [UniqueMDiffWithinAt, mfld_simps] #align unique_mdiff_within_at_iff_unique_diff_within_at uniqueMDiffWithinAt_iff_uniqueDiffWithinAt alias ⟨UniqueMDiffWithinAt.uniqueDiffWithinAt, UniqueDiffWithinAt.uniqueMDiffWithinAt⟩ := uniqueMDiffWithinAt_iff_uniqueDiffWithinAt #align unique_mdiff_within_at.unique_diff_within_at UniqueMDiffWithinAt.uniqueDiffWithinAt #align unique_diff_within_at.unique_mdiff_within_at UniqueDiffWithinAt.uniqueMDiffWithinAt theorem uniqueMDiffOn_iff_uniqueDiffOn : UniqueMDiffOn 𝓘(𝕜, E) s ↔ UniqueDiffOn 𝕜 s := by simp [UniqueMDiffOn, UniqueDiffOn, uniqueMDiffWithinAt_iff_uniqueDiffWithinAt] #align unique_mdiff_on_iff_unique_diff_on uniqueMDiffOn_iff_uniqueDiffOn alias ⟨UniqueMDiffOn.uniqueDiffOn, UniqueDiffOn.uniqueMDiffOn⟩ := uniqueMDiffOn_iff_uniqueDiffOn #align unique_mdiff_on.unique_diff_on UniqueMDiffOn.uniqueDiffOn #align unique_diff_on.unique_mdiff_on UniqueDiffOn.uniqueMDiffOn -- Porting note (#10618): was `@[simp, mfld_simps]` but `simp` can prove it theorem writtenInExtChartAt_model_space : writtenInExtChartAt 𝓘(𝕜, E) 𝓘(𝕜, E') x f = f := rfl #align written_in_ext_chart_model_space writtenInExtChartAt_model_space theorem hasMFDerivWithinAt_iff_hasFDerivWithinAt {f'} : HasMFDerivWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x f' ↔ HasFDerivWithinAt f f' s x := by simpa only [HasMFDerivWithinAt, and_iff_right_iff_imp, mfld_simps] using HasFDerivWithinAt.continuousWithinAt #align has_mfderiv_within_at_iff_has_fderiv_within_at hasMFDerivWithinAt_iff_hasFDerivWithinAt alias ⟨HasMFDerivWithinAt.hasFDerivWithinAt, HasFDerivWithinAt.hasMFDerivWithinAt⟩ := hasMFDerivWithinAt_iff_hasFDerivWithinAt #align has_mfderiv_within_at.has_fderiv_within_at HasMFDerivWithinAt.hasFDerivWithinAt #align has_fderiv_within_at.has_mfderiv_within_at HasFDerivWithinAt.hasMFDerivWithinAt theorem hasMFDerivAt_iff_hasFDerivAt {f'} : HasMFDerivAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x f' ↔ HasFDerivAt f f' x := by rw [← hasMFDerivWithinAt_univ, hasMFDerivWithinAt_iff_hasFDerivWithinAt, hasFDerivWithinAt_univ] #align has_mfderiv_at_iff_has_fderiv_at hasMFDerivAt_iff_hasFDerivAt alias ⟨HasMFDerivAt.hasFDerivAt, HasFDerivAt.hasMFDerivAt⟩ := hasMFDerivAt_iff_hasFDerivAt #align has_mfderiv_at.has_fderiv_at HasMFDerivAt.hasFDerivAt #align has_fderiv_at.has_mfderiv_at HasFDerivAt.hasMFDerivAt theorem mdifferentiableWithinAt_iff_differentiableWithinAt : MDifferentiableWithinAt 𝓘(𝕜, E) 𝓘(𝕜, E') f s x ↔ DifferentiableWithinAt 𝕜 f s x := by simp only [mdifferentiableWithinAt_iff', mfld_simps] exact ⟨fun H => H.2, fun H => ⟨H.continuousWithinAt, H⟩⟩ #align mdifferentiable_within_at_iff_differentiable_within_at mdifferentiableWithinAt_iff_differentiableWithinAt alias ⟨MDifferentiableWithinAt.differentiableWithinAt, DifferentiableWithinAt.mdifferentiableWithinAt⟩ := mdifferentiableWithinAt_iff_differentiableWithinAt #align mdifferentiable_within_at.differentiable_within_at MDifferentiableWithinAt.differentiableWithinAt #align differentiable_within_at.mdifferentiable_within_at DifferentiableWithinAt.mdifferentiableWithinAt theorem mdifferentiableAt_iff_differentiableAt : MDifferentiableAt 𝓘(𝕜, E) 𝓘(𝕜, E') f x ↔ DifferentiableAt 𝕜 f x := by simp only [mdifferentiableAt_iff, differentiableWithinAt_univ, mfld_simps] exact ⟨fun H => H.2, fun H => ⟨H.continuousAt, H⟩⟩ #align mdifferentiable_at_iff_differentiable_at mdifferentiableAt_iff_differentiableAt alias ⟨MDifferentiableAt.differentiableAt, DifferentiableAt.mdifferentiableAt⟩ := mdifferentiableAt_iff_differentiableAt #align mdifferentiable_at.differentiable_at MDifferentiableAt.differentiableAt #align differentiable_at.mdifferentiable_at DifferentiableAt.mdifferentiableAt theorem mdifferentiableOn_iff_differentiableOn : MDifferentiableOn 𝓘(𝕜, E) 𝓘(𝕜, E') f s ↔ DifferentiableOn 𝕜 f s := by simp only [MDifferentiableOn, DifferentiableOn, mdifferentiableWithinAt_iff_differentiableWithinAt] #align mdifferentiable_on_iff_differentiable_on mdifferentiableOn_iff_differentiableOn alias ⟨MDifferentiableOn.differentiableOn, DifferentiableOn.mdifferentiableOn⟩ := mdifferentiableOn_iff_differentiableOn #align mdifferentiable_on.differentiable_on MDifferentiableOn.differentiableOn #align differentiable_on.mdifferentiable_on DifferentiableOn.mdifferentiableOn
Mathlib/Geometry/Manifold/MFDeriv/FDeriv.lean
108
110
theorem mdifferentiable_iff_differentiable : MDifferentiable 𝓘(𝕜, E) 𝓘(𝕜, E') f ↔ Differentiable 𝕜 f := by
simp only [MDifferentiable, Differentiable, mdifferentiableAt_iff_differentiableAt]
import Mathlib.Data.Fintype.Order import Mathlib.Data.Set.Finite import Mathlib.Order.Category.FinPartOrd import Mathlib.Order.Category.LinOrd import Mathlib.CategoryTheory.Limits.Shapes.Images import Mathlib.CategoryTheory.Limits.Shapes.RegularMono import Mathlib.Data.Set.Subsingleton #align_import order.category.NonemptyFinLinOrd from "leanprover-community/mathlib"@"fa4a805d16a9cd9c96e0f8edeb57dc5a07af1a19" universe u v open CategoryTheory CategoryTheory.Limits class NonemptyFiniteLinearOrder (α : Type*) extends Fintype α, LinearOrder α where Nonempty : Nonempty α := by infer_instance #align nonempty_fin_lin_ord NonemptyFiniteLinearOrder attribute [instance] NonemptyFiniteLinearOrder.Nonempty instance (priority := 100) NonemptyFiniteLinearOrder.toBoundedOrder (α : Type*) [NonemptyFiniteLinearOrder α] : BoundedOrder α := Fintype.toBoundedOrder α #align nonempty_fin_lin_ord.to_bounded_order NonemptyFiniteLinearOrder.toBoundedOrder instance PUnit.nonemptyFiniteLinearOrder : NonemptyFiniteLinearOrder PUnit where #align punit.nonempty_fin_lin_ord PUnit.nonemptyFiniteLinearOrder instance Fin.nonemptyFiniteLinearOrder (n : ℕ) : NonemptyFiniteLinearOrder (Fin (n + 1)) where #align fin.nonempty_fin_lin_ord Fin.nonemptyFiniteLinearOrder instance ULift.nonemptyFiniteLinearOrder (α : Type u) [NonemptyFiniteLinearOrder α] : NonemptyFiniteLinearOrder (ULift.{v} α) := { LinearOrder.lift' Equiv.ulift (Equiv.injective _) with } #align ulift.nonempty_fin_lin_ord ULift.nonemptyFiniteLinearOrder instance (α : Type*) [NonemptyFiniteLinearOrder α] : NonemptyFiniteLinearOrder αᵒᵈ := { OrderDual.fintype α with } def NonemptyFinLinOrd := Bundled NonemptyFiniteLinearOrder set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd NonemptyFinLinOrd namespace NonemptyFinLinOrd instance : BundledHom.ParentProjection @NonemptyFiniteLinearOrder.toLinearOrder := ⟨⟩ deriving instance LargeCategory for NonemptyFinLinOrd -- Porting note: probably see https://github.com/leanprover-community/mathlib4/issues/5020 instance : ConcreteCategory NonemptyFinLinOrd := BundledHom.concreteCategory _ instance : CoeSort NonemptyFinLinOrd Type* := Bundled.coeSort def of (α : Type*) [NonemptyFiniteLinearOrder α] : NonemptyFinLinOrd := Bundled.of α set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.of NonemptyFinLinOrd.of @[simp] theorem coe_of (α : Type*) [NonemptyFiniteLinearOrder α] : ↥(of α) = α := rfl set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.coe_of NonemptyFinLinOrd.coe_of instance : Inhabited NonemptyFinLinOrd := ⟨of PUnit⟩ instance (α : NonemptyFinLinOrd) : NonemptyFiniteLinearOrder α := α.str instance hasForgetToLinOrd : HasForget₂ NonemptyFinLinOrd LinOrd := BundledHom.forget₂ _ _ set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.has_forget_to_LinOrd NonemptyFinLinOrd.hasForgetToLinOrd instance hasForgetToFinPartOrd : HasForget₂ NonemptyFinLinOrd FinPartOrd where forget₂ := { obj := fun X => FinPartOrd.of X map := @fun X Y => id } set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.has_forget_to_FinPartOrd NonemptyFinLinOrd.hasForgetToFinPartOrd @[simps] def Iso.mk {α β : NonemptyFinLinOrd.{u}} (e : α ≃o β) : α ≅ β where hom := (e : OrderHom _ _) inv := (e.symm : OrderHom _ _) hom_inv_id := by ext x exact e.symm_apply_apply x inv_hom_id := by ext x exact e.apply_symm_apply x set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.iso.mk NonemptyFinLinOrd.Iso.mk @[simps] def dual : NonemptyFinLinOrd ⥤ NonemptyFinLinOrd where obj X := of Xᵒᵈ map := OrderHom.dual set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.dual NonemptyFinLinOrd.dual @[simps functor inverse] def dualEquiv : NonemptyFinLinOrd ≌ NonemptyFinLinOrd where functor := dual inverse := dual unitIso := NatIso.ofComponents fun X => Iso.mk <| OrderIso.dualDual X counitIso := NatIso.ofComponents fun X => Iso.mk <| OrderIso.dualDual X set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.dual_equiv NonemptyFinLinOrd.dualEquiv instance {A B : NonemptyFinLinOrd.{u}} : FunLike (A ⟶ B) A B where coe f := ⇑(show OrderHom A B from f) coe_injective' _ _ h := by ext x exact congr_fun h x -- porting note (#10670): this instance was not necessary in mathlib instance {A B : NonemptyFinLinOrd.{u}} : OrderHomClass (A ⟶ B) A B where map_rel f _ _ h := f.monotone h theorem mono_iff_injective {A B : NonemptyFinLinOrd.{u}} (f : A ⟶ B) : Mono f ↔ Function.Injective f := by refine ⟨?_, ConcreteCategory.mono_of_injective f⟩ intro intro a₁ a₂ h let X := NonemptyFinLinOrd.of (ULift (Fin 1)) let g₁ : X ⟶ A := ⟨fun _ => a₁, fun _ _ _ => by rfl⟩ let g₂ : X ⟶ A := ⟨fun _ => a₂, fun _ _ _ => by rfl⟩ change g₁ (ULift.up (0 : Fin 1)) = g₂ (ULift.up (0 : Fin 1)) have eq : g₁ ≫ f = g₂ ≫ f := by ext exact h rw [cancel_mono] at eq rw [eq] set_option linter.uppercaseLean3 false in #align NonemptyFinLinOrd.mono_iff_injective NonemptyFinLinOrd.mono_iff_injective -- Porting note: added to ease the following proof lemma forget_map_apply {A B : NonemptyFinLinOrd.{u}} (f : A ⟶ B) (a : A) : (forget NonemptyFinLinOrd).map f a = (f : OrderHom A B).toFun a := rfl
Mathlib/Order/Category/NonemptyFinLinOrd.lean
171
209
theorem epi_iff_surjective {A B : NonemptyFinLinOrd.{u}} (f : A ⟶ B) : Epi f ↔ Function.Surjective f := by
constructor · intro dsimp only [Function.Surjective] by_contra! hf' rcases hf' with ⟨m, hm⟩ let Y := NonemptyFinLinOrd.of (ULift (Fin 2)) let p₁ : B ⟶ Y := ⟨fun b => if b < m then ULift.up 0 else ULift.up 1, fun x₁ x₂ h => by simp only split_ifs with h₁ h₂ h₂ any_goals apply Fin.zero_le · exfalso exact h₁ (lt_of_le_of_lt h h₂) · rfl⟩ let p₂ : B ⟶ Y := ⟨fun b => if b ≤ m then ULift.up 0 else ULift.up 1, fun x₁ x₂ h => by simp only split_ifs with h₁ h₂ h₂ any_goals apply Fin.zero_le · exfalso exact h₁ (h.trans h₂) · rfl⟩ have h : p₁ m = p₂ m := by congr rw [← cancel_epi f] ext a simp only [coe_of, comp_apply] change ite _ _ _ = ite _ _ _ split_ifs with h₁ h₂ h₂ any_goals rfl · exfalso exact h₂ (le_of_lt h₁) · exfalso exact hm a (eq_of_le_of_not_lt h₂ h₁) simp [Y, DFunLike.coe] at h · intro h exact ConcreteCategory.epi_of_surjective f h
import Mathlib.MeasureTheory.Measure.GiryMonad import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.MeasureTheory.Measure.OpenPos #align_import measure_theory.constructions.prod.basic from "leanprover-community/mathlib"@"00abe0695d8767201e6d008afa22393978bb324d" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory open Set Function Real ENNReal open MeasureTheory MeasurableSpace MeasureTheory.Measure open TopologicalSpace hiding generateFrom open Filter hiding prod_eq map variable {α α' β β' γ E : Type*} theorem IsPiSystem.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsPiSystem C) (hD : IsPiSystem D) : IsPiSystem (image2 (· ×ˢ ·) C D) := by rintro _ ⟨s₁, hs₁, t₁, ht₁, rfl⟩ _ ⟨s₂, hs₂, t₂, ht₂, rfl⟩ hst rw [prod_inter_prod] at hst ⊢; rw [prod_nonempty_iff] at hst exact mem_image2_of_mem (hC _ hs₁ _ hs₂ hst.1) (hD _ ht₁ _ ht₂ hst.2) #align is_pi_system.prod IsPiSystem.prod theorem IsCountablySpanning.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C) (hD : IsCountablySpanning D) : IsCountablySpanning (image2 (· ×ˢ ·) C D) := by rcases hC, hD with ⟨⟨s, h1s, h2s⟩, t, h1t, h2t⟩ refine ⟨fun n => s n.unpair.1 ×ˢ t n.unpair.2, fun n => mem_image2_of_mem (h1s _) (h1t _), ?_⟩ rw [iUnion_unpair_prod, h2s, h2t, univ_prod_univ] #align is_countably_spanning.prod IsCountablySpanning.prod variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β'] variable [MeasurableSpace γ] variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ} variable [NormedAddCommGroup E]
Mathlib/MeasureTheory/Constructions/Prod/Basic.lean
102
127
theorem generateFrom_prod_eq {α β} {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C) (hD : IsCountablySpanning D) : @Prod.instMeasurableSpace _ _ (generateFrom C) (generateFrom D) = generateFrom (image2 (· ×ˢ ·) C D) := by
apply le_antisymm · refine sup_le ?_ ?_ <;> rw [comap_generateFrom] <;> apply generateFrom_le <;> rintro _ ⟨s, hs, rfl⟩ · rcases hD with ⟨t, h1t, h2t⟩ rw [← prod_univ, ← h2t, prod_iUnion] apply MeasurableSet.iUnion intro n apply measurableSet_generateFrom exact ⟨s, hs, t n, h1t n, rfl⟩ · rcases hC with ⟨t, h1t, h2t⟩ rw [← univ_prod, ← h2t, iUnion_prod_const] apply MeasurableSet.iUnion rintro n apply measurableSet_generateFrom exact mem_image2_of_mem (h1t n) hs · apply generateFrom_le rintro _ ⟨s, hs, t, ht, rfl⟩ dsimp only rw [prod_eq] apply (measurable_fst _).inter (measurable_snd _) · exact measurableSet_generateFrom hs · exact measurableSet_generateFrom ht
import Mathlib.ModelTheory.Satisfiability #align_import model_theory.types from "leanprover-community/mathlib"@"98bd247d933fb581ff37244a5998bd33d81dd46d" set_option linter.uppercaseLean3 false universe u v w w' open Cardinal Set open scoped Classical open Cardinal FirstOrder namespace FirstOrder namespace Language namespace Theory variable {L : Language.{u, v}} (T : L.Theory) (α : Type w) structure CompleteType where toTheory : L[[α]].Theory subset' : (L.lhomWithConstants α).onTheory T ⊆ toTheory isMaximal' : toTheory.IsMaximal #align first_order.language.Theory.complete_type FirstOrder.Language.Theory.CompleteType #align first_order.language.Theory.complete_type.to_Theory FirstOrder.Language.Theory.CompleteType.toTheory #align first_order.language.Theory.complete_type.subset' FirstOrder.Language.Theory.CompleteType.subset' #align first_order.language.Theory.complete_type.is_maximal' FirstOrder.Language.Theory.CompleteType.isMaximal' variable {T α} namespace CompleteType attribute [coe] CompleteType.toTheory instance Sentence.instSetLike : SetLike (T.CompleteType α) (L[[α]].Sentence) := ⟨fun p => p.toTheory, fun p q h => by cases p cases q congr ⟩ #align first_order.language.Theory.complete_type.sentence.set_like FirstOrder.Language.Theory.CompleteType.Sentence.instSetLike theorem isMaximal (p : T.CompleteType α) : IsMaximal (p : L[[α]].Theory) := p.isMaximal' #align first_order.language.Theory.complete_type.is_maximal FirstOrder.Language.Theory.CompleteType.isMaximal theorem subset (p : T.CompleteType α) : (L.lhomWithConstants α).onTheory T ⊆ (p : L[[α]].Theory) := p.subset' #align first_order.language.Theory.complete_type.subset FirstOrder.Language.Theory.CompleteType.subset theorem mem_or_not_mem (p : T.CompleteType α) (φ : L[[α]].Sentence) : φ ∈ p ∨ φ.not ∈ p := p.isMaximal.mem_or_not_mem φ #align first_order.language.Theory.complete_type.mem_or_not_mem FirstOrder.Language.Theory.CompleteType.mem_or_not_mem theorem mem_of_models (p : T.CompleteType α) {φ : L[[α]].Sentence} (h : (L.lhomWithConstants α).onTheory T ⊨ᵇ φ) : φ ∈ p := (p.mem_or_not_mem φ).resolve_right fun con => ((models_iff_not_satisfiable _).1 h) (p.isMaximal.1.mono (union_subset p.subset (singleton_subset_iff.2 con))) #align first_order.language.Theory.complete_type.mem_of_models FirstOrder.Language.Theory.CompleteType.mem_of_models theorem not_mem_iff (p : T.CompleteType α) (φ : L[[α]].Sentence) : φ.not ∈ p ↔ ¬φ ∈ p := ⟨fun hf ht => by have h : ¬IsSatisfiable ({φ, φ.not} : L[[α]].Theory) := by rintro ⟨@⟨_, _, h, _⟩⟩ simp only [model_iff, mem_insert_iff, mem_singleton_iff, forall_eq_or_imp, forall_eq] at h exact h.2 h.1 refine h (p.isMaximal.1.mono ?_) rw [insert_subset_iff, singleton_subset_iff] exact ⟨ht, hf⟩, (p.mem_or_not_mem φ).resolve_left⟩ #align first_order.language.Theory.complete_type.not_mem_iff FirstOrder.Language.Theory.CompleteType.not_mem_iff @[simp] theorem compl_setOf_mem {φ : L[[α]].Sentence} : { p : T.CompleteType α | φ ∈ p }ᶜ = { p : T.CompleteType α | φ.not ∈ p } := ext fun _ => (not_mem_iff _ _).symm #align first_order.language.Theory.complete_type.compl_set_of_mem FirstOrder.Language.Theory.CompleteType.compl_setOf_mem
Mathlib/ModelTheory/Types.lean
115
126
theorem setOf_subset_eq_empty_iff (S : L[[α]].Theory) : { p : T.CompleteType α | S ⊆ ↑p } = ∅ ↔ ¬((L.lhomWithConstants α).onTheory T ∪ S).IsSatisfiable := by
rw [iff_not_comm, ← not_nonempty_iff_eq_empty, Classical.not_not, Set.Nonempty] refine ⟨fun h => ⟨⟨L[[α]].completeTheory h.some, (subset_union_left (t := S)).trans completeTheory.subset, completeTheory.isMaximal (L[[α]]) h.some⟩, (((L.lhomWithConstants α).onTheory T).subset_union_right).trans completeTheory.subset⟩, ?_⟩ rintro ⟨p, hp⟩ exact p.isMaximal.1.mono (union_subset p.subset hp)
import Batteries.Data.RBMap.Alter import Batteries.Data.List.Lemmas namespace Batteries namespace RBNode open RBColor attribute [simp] fold foldl foldr Any forM foldlM Ordered @[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by unfold RBNode.max?; split <;> simp [RBNode.min?] unfold RBNode.min?; rw [min?.match_1.eq_3] · apply min?_reverse · simpa [reverse_eq_iff] @[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by rw [← min?_reverse, reverse_reverse] @[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem] @[simp] theorem mem_node {y c a x b} : y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem] theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by induction t <;> simp [or_imp, forall_and, *] theorem Any_def {t : RBNode α} : t.Any p ↔ ∃ x ∈ t, p x := by induction t <;> simp [or_and_right, exists_or, *] theorem memP_def : MemP cut t ↔ ∃ x ∈ t, cut x = .eq := Any_def theorem mem_def : Mem cmp x t ↔ ∃ y ∈ t, cmp x y = .eq := Any_def theorem mem_congr [@TransCmp α cmp] {t : RBNode α} (h : cmp x y = .eq) : Mem cmp x t ↔ Mem cmp y t := by simp [Mem, TransCmp.cmp_congr_left' h] theorem isOrdered_iff' [@TransCmp α cmp] {t : RBNode α} : isOrdered cmp t L R ↔ (∀ a ∈ L, t.All (cmpLT cmp a ·)) ∧ (∀ a ∈ R, t.All (cmpLT cmp · a)) ∧ (∀ a ∈ L, ∀ b ∈ R, cmpLT cmp a b) ∧ Ordered cmp t := by induction t generalizing L R with | nil => simp [isOrdered]; split <;> simp [cmpLT_iff] next h => intro _ ha _ hb; cases h _ _ ha hb | node _ l v r => simp [isOrdered, *] exact ⟨ fun ⟨⟨Ll, lv, Lv, ol⟩, ⟨vr, rR, vR, or⟩⟩ => ⟨ fun _ h => ⟨Lv _ h, Ll _ h, (Lv _ h).trans_l vr⟩, fun _ h => ⟨vR _ h, (vR _ h).trans_r lv, rR _ h⟩, fun _ hL _ hR => (Lv _ hL).trans (vR _ hR), lv, vr, ol, or⟩, fun ⟨hL, hR, _, lv, vr, ol, or⟩ => ⟨ ⟨fun _ h => (hL _ h).2.1, lv, fun _ h => (hL _ h).1, ol⟩, ⟨vr, fun _ h => (hR _ h).2.2, fun _ h => (hR _ h).1, or⟩⟩⟩
.lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean
67
68
theorem isOrdered_iff [@TransCmp α cmp] {t : RBNode α} : isOrdered cmp t ↔ Ordered cmp t := by
simp [isOrdered_iff']
import Mathlib.Data.W.Basic #align_import data.pfunctor.univariate.basic from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" -- "W", "Idx" set_option linter.uppercaseLean3 false universe u v v₁ v₂ v₃ @[pp_with_univ] structure PFunctor where A : Type u B : A → Type u #align pfunctor PFunctor namespace PFunctor instance : Inhabited PFunctor := ⟨⟨default, default⟩⟩ variable (P : PFunctor.{u}) {α : Type v₁} {β : Type v₂} {γ : Type v₃} @[coe] def Obj (α : Type v) := Σ x : P.A, P.B x → α #align pfunctor.obj PFunctor.Obj instance : CoeFun PFunctor.{u} (fun _ => Type v → Type (max u v)) where coe := Obj def map (f : α → β) : P α → P β := fun ⟨a, g⟩ => ⟨a, f ∘ g⟩ #align pfunctor.map PFunctor.map instance Obj.inhabited [Inhabited P.A] [Inhabited α] : Inhabited (P α) := ⟨⟨default, default⟩⟩ #align pfunctor.obj.inhabited PFunctor.Obj.inhabited instance : Functor.{v, max u v} P.Obj where map := @map P @[simp] theorem map_eq_map {α β : Type v} (f : α → β) (x : P α) : f <$> x = P.map f x := rfl @[simp] protected theorem map_eq (f : α → β) (a : P.A) (g : P.B a → α) : P.map f ⟨a, g⟩ = ⟨a, f ∘ g⟩ := rfl #align pfunctor.map_eq PFunctor.map_eq @[simp] protected theorem id_map : ∀ x : P α, P.map id x = x := fun ⟨_, _⟩ => rfl #align pfunctor.id_map PFunctor.id_map @[simp] protected theorem map_map (f : α → β) (g : β → γ) : ∀ x : P α, P.map g (P.map f x) = P.map (g ∘ f) x := fun ⟨_, _⟩ => rfl #align pfunctor.comp_map PFunctor.map_map instance : LawfulFunctor.{v, max u v} P.Obj where map_const := rfl id_map x := P.id_map x comp_map f g x := P.map_map f g x |>.symm def W := WType P.B #align pfunctor.W PFunctor.W -- Porting note(#5171): this linter isn't ported yet. -- attribute [nolint has_nonempty_instance] W variable {P} def W.head : W P → P.A | ⟨a, _f⟩ => a #align pfunctor.W.head PFunctor.W.head def W.children : ∀ x : W P, P.B (W.head x) → W P | ⟨_a, f⟩ => f #align pfunctor.W.children PFunctor.W.children def W.dest : W P → P (W P) | ⟨a, f⟩ => ⟨a, f⟩ #align pfunctor.W.dest PFunctor.W.dest def W.mk : P (W P) → W P | ⟨a, f⟩ => ⟨a, f⟩ #align pfunctor.W.mk PFunctor.W.mk @[simp] theorem W.dest_mk (p : P (W P)) : W.dest (W.mk p) = p := by cases p; rfl #align pfunctor.W.dest_mk PFunctor.W.dest_mk @[simp]
Mathlib/Data/PFunctor/Univariate/Basic.lean
129
129
theorem W.mk_dest (p : W P) : W.mk (W.dest p) = p := by
cases p; rfl
import Mathlib.Algebra.Algebra.NonUnitalSubalgebra import Mathlib.Algebra.Star.StarAlgHom import Mathlib.Algebra.Star.Center universe u u' v v' w w' w'' variable {F : Type v'} {R' : Type u'} {R : Type u} variable {A : Type v} {B : Type w} {C : Type w'} namespace NonUnitalSubalgebra open scoped Pointwise variable [CommSemiring R] [StarRing R] variable [NonUnitalSemiring A] [StarRing A] [Module R A] variable [IsScalarTower R A A] [SMulCommClass R A A] [StarModule R A] variable [NonUnitalSemiring B] [StarRing B] [Module R B] variable [IsScalarTower R B B] [SMulCommClass R B B] [StarModule R B] instance instInvolutiveStar : InvolutiveStar (NonUnitalSubalgebra R A) where star S := { carrier := star S.carrier mul_mem' := @fun x y hx hy => by simpa only [Set.mem_star, NonUnitalSubalgebra.mem_carrier] using (star_mul x y).symm ▸ mul_mem hy hx add_mem' := @fun x y hx hy => by simpa only [Set.mem_star, NonUnitalSubalgebra.mem_carrier] using (star_add x y).symm ▸ add_mem hx hy zero_mem' := Set.mem_star.mp ((star_zero A).symm ▸ zero_mem S : star (0 : A) ∈ S) smul_mem' := fun r x hx => by simpa only [Set.mem_star, NonUnitalSubalgebra.mem_carrier] using (star_smul r x).symm ▸ SMulMemClass.smul_mem (star r) hx } star_involutive S := NonUnitalSubalgebra.ext fun x => ⟨fun hx => star_star x ▸ hx, fun hx => ((star_star x).symm ▸ hx : star (star x) ∈ S)⟩ @[simp] theorem mem_star_iff (S : NonUnitalSubalgebra R A) (x : A) : x ∈ star S ↔ star x ∈ S := Iff.rfl
Mathlib/Algebra/Star/NonUnitalSubalgebra.lean
544
545
theorem star_mem_star_iff (S : NonUnitalSubalgebra R A) (x : A) : star x ∈ star S ↔ x ∈ S := by
simp
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp]
Mathlib/Data/Finsupp/AList.lean
76
78
theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by
convert rfl; congr
import Mathlib.Algebra.Order.Monoid.Unbundled.Pow import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Ring.Parity #align_import algebra.group_power.order from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a" -- We should need only a minimal development of sets in order to get here. assert_not_exists Set.Subsingleton open Function Int variable {α M R : Type*} section OrderedSemiring variable [OrderedSemiring R] {a b x y : R} {n m : ℕ} theorem zero_pow_le_one : ∀ n : ℕ, (0 : R) ^ n ≤ 1 | 0 => (pow_zero _).le | n + 1 => by rw [zero_pow n.succ_ne_zero]; exact zero_le_one #align zero_pow_le_one zero_pow_le_one
Mathlib/Algebra/Order/Ring/Basic.lean
49
67
theorem pow_add_pow_le (hx : 0 ≤ x) (hy : 0 ≤ y) (hn : n ≠ 0) : x ^ n + y ^ n ≤ (x + y) ^ n := by
rcases Nat.exists_eq_succ_of_ne_zero hn with ⟨k, rfl⟩ induction' k with k ih; · have eqn : Nat.succ Nat.zero = 1 := rfl rw [eqn] simp only [pow_one, le_refl] · let n := k.succ have h1 := add_nonneg (mul_nonneg hx (pow_nonneg hy n)) (mul_nonneg hy (pow_nonneg hx n)) have h2 := add_nonneg hx hy calc x ^ n.succ + y ^ n.succ ≤ x * x ^ n + y * y ^ n + (x * y ^ n + y * x ^ n) := by rw [pow_succ' _ n, pow_succ' _ n] exact le_add_of_nonneg_right h1 _ = (x + y) * (x ^ n + y ^ n) := by rw [add_mul, mul_add, mul_add, add_comm (y * x ^ n), ← add_assoc, ← add_assoc, add_assoc (x * x ^ n) (x * y ^ n), add_comm (x * y ^ n) (y * y ^ n), ← add_assoc] _ ≤ (x + y) ^ n.succ := by rw [pow_succ' _ n] exact mul_le_mul_of_nonneg_left (ih (Nat.succ_ne_zero k)) h2
import Mathlib.Algebra.Group.Submonoid.Pointwise #align_import group_theory.submonoid.inverses from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" variable {M : Type*} namespace Submonoid @[to_additive] noncomputable instance [Monoid M] : Group (IsUnit.submonoid M) := { inferInstanceAs (Monoid (IsUnit.submonoid M)) with inv := fun x ↦ ⟨x.prop.unit⁻¹.val, x.prop.unit⁻¹.isUnit⟩ mul_left_inv := fun x ↦ Subtype.ext ((Units.val_mul x.prop.unit⁻¹ _).trans x.prop.unit.inv_val) } @[to_additive] noncomputable instance [CommMonoid M] : CommGroup (IsUnit.submonoid M) := { inferInstanceAs (Group (IsUnit.submonoid M)) with mul_comm := fun a b ↦ by convert mul_comm a b } @[to_additive] theorem IsUnit.Submonoid.coe_inv [Monoid M] (x : IsUnit.submonoid M) : ↑x⁻¹ = (↑x.prop.unit⁻¹ : M) := rfl #align submonoid.is_unit.submonoid.coe_inv Submonoid.IsUnit.Submonoid.coe_inv #align add_submonoid.is_unit.submonoid.coe_neg AddSubmonoid.IsUnit.Submonoid.coe_neg section Monoid variable [Monoid M] (S : Submonoid M) @[to_additive "`S.leftNeg` is the additive submonoid containing all the left additive inverses of `S`."] def leftInv : Submonoid M where carrier := { x : M | ∃ y : S, x * y = 1 } one_mem' := ⟨1, mul_one 1⟩ mul_mem' := fun {a} _b ⟨a', ha⟩ ⟨b', hb⟩ ↦ ⟨b' * a', by simp only [coe_mul, ← mul_assoc, mul_assoc a, hb, mul_one, ha]⟩ #align submonoid.left_inv Submonoid.leftInv #align add_submonoid.left_neg AddSubmonoid.leftNeg @[to_additive] theorem leftInv_leftInv_le : S.leftInv.leftInv ≤ S := by rintro x ⟨⟨y, z, h₁⟩, h₂ : x * y = 1⟩ convert z.prop rw [← mul_one x, ← h₁, ← mul_assoc, h₂, one_mul] #align submonoid.left_inv_left_inv_le Submonoid.leftInv_leftInv_le #align add_submonoid.left_neg_left_neg_le AddSubmonoid.leftNeg_leftNeg_le @[to_additive] theorem unit_mem_leftInv (x : Mˣ) (hx : (x : M) ∈ S) : ((x⁻¹ : _) : M) ∈ S.leftInv := ⟨⟨x, hx⟩, x.inv_val⟩ #align submonoid.unit_mem_left_inv Submonoid.unit_mem_leftInv #align add_submonoid.add_unit_mem_left_neg AddSubmonoid.addUnit_mem_leftNeg @[to_additive]
Mathlib/GroupTheory/Submonoid/Inverses.lean
87
94
theorem leftInv_leftInv_eq (hS : S ≤ IsUnit.submonoid M) : S.leftInv.leftInv = S := by
refine le_antisymm S.leftInv_leftInv_le ?_ intro x hx have : x = ((hS hx).unit⁻¹⁻¹ : Mˣ) := by rw [inv_inv (hS hx).unit] rfl rw [this] exact S.leftInv.unit_mem_leftInv _ (S.unit_mem_leftInv _ hx)
import Mathlib.Algebra.Polynomial.Eval import Mathlib.LinearAlgebra.Dimension.Constructions #align_import algebra.linear_recurrence from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" noncomputable section open Finset open Polynomial structure LinearRecurrence (α : Type*) [CommSemiring α] where order : ℕ coeffs : Fin order → α #align linear_recurrence LinearRecurrence instance (α : Type*) [CommSemiring α] : Inhabited (LinearRecurrence α) := ⟨⟨0, default⟩⟩ namespace LinearRecurrence section CommSemiring variable {α : Type*} [CommSemiring α] (E : LinearRecurrence α) def IsSolution (u : ℕ → α) := ∀ n, u (n + E.order) = ∑ i, E.coeffs i * u (n + i) #align linear_recurrence.is_solution LinearRecurrence.IsSolution def mkSol (init : Fin E.order → α) : ℕ → α | n => if h : n < E.order then init ⟨n, h⟩ else ∑ k : Fin E.order, have _ : n - E.order + k < n := by rw [add_comm, ← add_tsub_assoc_of_le (not_lt.mp h), tsub_lt_iff_left] · exact add_lt_add_right k.is_lt n · convert add_le_add (zero_le (k : ℕ)) (not_lt.mp h) simp only [zero_add] E.coeffs k * mkSol init (n - E.order + k) #align linear_recurrence.mk_sol LinearRecurrence.mkSol theorem is_sol_mkSol (init : Fin E.order → α) : E.IsSolution (E.mkSol init) := by intro n rw [mkSol] simp #align linear_recurrence.is_sol_mk_sol LinearRecurrence.is_sol_mkSol theorem mkSol_eq_init (init : Fin E.order → α) : ∀ n : Fin E.order, E.mkSol init n = init n := by intro n rw [mkSol] simp only [n.is_lt, dif_pos, Fin.mk_val, Fin.eta] #align linear_recurrence.mk_sol_eq_init LinearRecurrence.mkSol_eq_init theorem eq_mk_of_is_sol_of_eq_init {u : ℕ → α} {init : Fin E.order → α} (h : E.IsSolution u) (heq : ∀ n : Fin E.order, u n = init n) : ∀ n, u n = E.mkSol init n := by intro n rw [mkSol] split_ifs with h' · exact mod_cast heq ⟨n, h'⟩ simp only rw [← tsub_add_cancel_of_le (le_of_not_lt h'), h (n - E.order)] congr with k have : n - E.order + k < n := by rw [add_comm, ← add_tsub_assoc_of_le (not_lt.mp h'), tsub_lt_iff_left] · exact add_lt_add_right k.is_lt n · convert add_le_add (zero_le (k : ℕ)) (not_lt.mp h') simp only [zero_add] rw [eq_mk_of_is_sol_of_eq_init h heq (n - E.order + k)] simp #align linear_recurrence.eq_mk_of_is_sol_of_eq_init LinearRecurrence.eq_mk_of_is_sol_of_eq_init theorem eq_mk_of_is_sol_of_eq_init' {u : ℕ → α} {init : Fin E.order → α} (h : E.IsSolution u) (heq : ∀ n : Fin E.order, u n = init n) : u = E.mkSol init := funext (E.eq_mk_of_is_sol_of_eq_init h heq) #align linear_recurrence.eq_mk_of_is_sol_of_eq_init' LinearRecurrence.eq_mk_of_is_sol_of_eq_init' def solSpace : Submodule α (ℕ → α) where carrier := { u | E.IsSolution u } zero_mem' n := by simp add_mem' {u v} hu hv n := by simp [mul_add, sum_add_distrib, hu n, hv n] smul_mem' a u hu n := by simp [hu n, mul_sum]; congr; ext; ac_rfl #align linear_recurrence.sol_space LinearRecurrence.solSpace theorem is_sol_iff_mem_solSpace (u : ℕ → α) : E.IsSolution u ↔ u ∈ E.solSpace := Iff.rfl #align linear_recurrence.is_sol_iff_mem_sol_space LinearRecurrence.is_sol_iff_mem_solSpace def toInit : E.solSpace ≃ₗ[α] Fin E.order → α where toFun u x := (u : ℕ → α) x map_add' u v := by ext simp map_smul' a u := by ext simp invFun u := ⟨E.mkSol u, E.is_sol_mkSol u⟩ left_inv u := by ext n; symm; apply E.eq_mk_of_is_sol_of_eq_init u.2; intro k; rfl right_inv u := Function.funext_iff.mpr fun n ↦ E.mkSol_eq_init u n #align linear_recurrence.to_init LinearRecurrence.toInit
Mathlib/Algebra/LinearRecurrence.lean
156
166
theorem sol_eq_of_eq_init (u v : ℕ → α) (hu : E.IsSolution u) (hv : E.IsSolution v) : u = v ↔ Set.EqOn u v ↑(range E.order) := by
refine Iff.intro (fun h x _ ↦ h ▸ rfl) ?_ intro h set u' : ↥E.solSpace := ⟨u, hu⟩ set v' : ↥E.solSpace := ⟨v, hv⟩ change u'.val = v'.val suffices h' : u' = v' from h' ▸ rfl rw [← E.toInit.toEquiv.apply_eq_iff_eq, LinearEquiv.coe_toEquiv] ext x exact mod_cast h (mem_range.mpr x.2)
import Mathlib.Algebra.Lie.Nilpotent import Mathlib.Algebra.Lie.Normalizer #align_import algebra.lie.cartan_subalgebra from "leanprover-community/mathlib"@"938fead7abdc0cbbca8eba7a1052865a169dc102" universe u v w w₁ w₂ variable {R : Type u} {L : Type v} variable [CommRing R] [LieRing L] [LieAlgebra R L] (H : LieSubalgebra R L) def LieSubmodule.IsUcsLimit {M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] (N : LieSubmodule R L M) : Prop := ∃ k, ∀ l, k ≤ l → (⊥ : LieSubmodule R L M).ucs l = N #align lie_submodule.is_ucs_limit LieSubmodule.IsUcsLimit namespace LieSubalgebra class IsCartanSubalgebra : Prop where nilpotent : LieAlgebra.IsNilpotent R H self_normalizing : H.normalizer = H #align lie_subalgebra.is_cartan_subalgebra LieSubalgebra.IsCartanSubalgebra instance [H.IsCartanSubalgebra] : LieAlgebra.IsNilpotent R H := IsCartanSubalgebra.nilpotent @[simp] theorem normalizer_eq_self_of_isCartanSubalgebra (H : LieSubalgebra R L) [H.IsCartanSubalgebra] : H.toLieSubmodule.normalizer = H.toLieSubmodule := by rw [← LieSubmodule.coe_toSubmodule_eq_iff, coe_normalizer_eq_normalizer, IsCartanSubalgebra.self_normalizing, coe_toLieSubmodule] #align lie_subalgebra.normalizer_eq_self_of_is_cartan_subalgebra LieSubalgebra.normalizer_eq_self_of_isCartanSubalgebra @[simp] theorem ucs_eq_self_of_isCartanSubalgebra (H : LieSubalgebra R L) [H.IsCartanSubalgebra] (k : ℕ) : H.toLieSubmodule.ucs k = H.toLieSubmodule := by induction' k with k ih · simp · simp [ih] #align lie_subalgebra.ucs_eq_self_of_is_cartan_subalgebra LieSubalgebra.ucs_eq_self_of_isCartanSubalgebra
Mathlib/Algebra/Lie/CartanSubalgebra.lean
72
94
theorem isCartanSubalgebra_iff_isUcsLimit : H.IsCartanSubalgebra ↔ H.toLieSubmodule.IsUcsLimit := by
constructor · intro h have h₁ : LieAlgebra.IsNilpotent R H := by infer_instance obtain ⟨k, hk⟩ := H.toLieSubmodule.isNilpotent_iff_exists_self_le_ucs.mp h₁ replace hk : H.toLieSubmodule = LieSubmodule.ucs k ⊥ := le_antisymm hk (LieSubmodule.ucs_le_of_normalizer_eq_self H.normalizer_eq_self_of_isCartanSubalgebra k) refine ⟨k, fun l hl => ?_⟩ rw [← Nat.sub_add_cancel hl, LieSubmodule.ucs_add, ← hk, LieSubalgebra.ucs_eq_self_of_isCartanSubalgebra] · rintro ⟨k, hk⟩ exact { nilpotent := by dsimp only [LieAlgebra.IsNilpotent] erw [H.toLieSubmodule.isNilpotent_iff_exists_lcs_eq_bot] use k rw [_root_.eq_bot_iff, LieSubmodule.lcs_le_iff, hk k (le_refl k)] self_normalizing := by have hk' := hk (k + 1) k.le_succ rw [LieSubmodule.ucs_succ, hk k (le_refl k)] at hk' rw [← LieSubalgebra.coe_to_submodule_eq_iff, ← LieSubalgebra.coe_normalizer_eq_normalizer, hk', LieSubalgebra.coe_toLieSubmodule] }
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order import Mathlib.Topology.Order.LeftRightLim #align_import measure_theory.measure.stieltjes from "leanprover-community/mathlib"@"20d5763051978e9bc6428578ed070445df6a18b3" noncomputable section open scoped Classical open Set Filter Function ENNReal NNReal Topology MeasureTheory open ENNReal (ofReal) structure StieltjesFunction where toFun : ℝ → ℝ mono' : Monotone toFun right_continuous' : ∀ x, ContinuousWithinAt toFun (Ici x) x #align stieltjes_function StieltjesFunction #align stieltjes_function.to_fun StieltjesFunction.toFun #align stieltjes_function.mono' StieltjesFunction.mono' #align stieltjes_function.right_continuous' StieltjesFunction.right_continuous' namespace StieltjesFunction attribute [coe] toFun instance instCoeFun : CoeFun StieltjesFunction fun _ => ℝ → ℝ := ⟨toFun⟩ #align stieltjes_function.has_coe_to_fun StieltjesFunction.instCoeFun initialize_simps_projections StieltjesFunction (toFun → apply) @[ext] lemma ext {f g : StieltjesFunction} (h : ∀ x, f x = g x) : f = g := by exact (StieltjesFunction.mk.injEq ..).mpr (funext (by exact h)) variable (f : StieltjesFunction) theorem mono : Monotone f := f.mono' #align stieltjes_function.mono StieltjesFunction.mono theorem right_continuous (x : ℝ) : ContinuousWithinAt f (Ici x) x := f.right_continuous' x #align stieltjes_function.right_continuous StieltjesFunction.right_continuous theorem rightLim_eq (f : StieltjesFunction) (x : ℝ) : Function.rightLim f x = f x := by rw [← f.mono.continuousWithinAt_Ioi_iff_rightLim_eq, continuousWithinAt_Ioi_iff_Ici] exact f.right_continuous' x #align stieltjes_function.right_lim_eq StieltjesFunction.rightLim_eq theorem iInf_Ioi_eq (f : StieltjesFunction) (x : ℝ) : ⨅ r : Ioi x, f r = f x := by suffices Function.rightLim f x = ⨅ r : Ioi x, f r by rw [← this, f.rightLim_eq] rw [f.mono.rightLim_eq_sInf, sInf_image'] rw [← neBot_iff] infer_instance #align stieltjes_function.infi_Ioi_eq StieltjesFunction.iInf_Ioi_eq
Mathlib/MeasureTheory/Measure/Stieltjes.lean
83
89
theorem iInf_rat_gt_eq (f : StieltjesFunction) (x : ℝ) : ⨅ r : { r' : ℚ // x < r' }, f r = f x := by
rw [← iInf_Ioi_eq f x] refine (Real.iInf_Ioi_eq_iInf_rat_gt _ ?_ f.mono).symm refine ⟨f x, fun y => ?_⟩ rintro ⟨y, hy_mem, rfl⟩ exact f.mono (le_of_lt hy_mem)
import Mathlib.Order.Monotone.Union import Mathlib.Algebra.Order.Group.Instances #align_import order.monotone.odd from "leanprover-community/mathlib"@"9116dd6709f303dcf781632e15fdef382b0fc579" open Set variable {G H : Type*} [LinearOrderedAddCommGroup G] [OrderedAddCommGroup H] theorem strictMono_of_odd_strictMonoOn_nonneg {f : G → H} (h₁ : ∀ x, f (-x) = -f x) (h₂ : StrictMonoOn f (Ici 0)) : StrictMono f := by refine StrictMonoOn.Iic_union_Ici (fun x hx y hy hxy => neg_lt_neg_iff.1 ?_) h₂ rw [← h₁, ← h₁] exact h₂ (neg_nonneg.2 hy) (neg_nonneg.2 hx) (neg_lt_neg hxy) #align strict_mono_of_odd_strict_mono_on_nonneg strictMono_of_odd_strictMonoOn_nonneg theorem strictAnti_of_odd_strictAntiOn_nonneg {f : G → H} (h₁ : ∀ x, f (-x) = -f x) (h₂ : StrictAntiOn f (Ici 0)) : StrictAnti f := @strictMono_of_odd_strictMonoOn_nonneg G Hᵒᵈ _ _ _ h₁ h₂ #align strict_anti_of_odd_strict_anti_on_nonneg strictAnti_of_odd_strictAntiOn_nonneg
Mathlib/Order/Monotone/Odd.lean
42
46
theorem monotone_of_odd_of_monotoneOn_nonneg {f : G → H} (h₁ : ∀ x, f (-x) = -f x) (h₂ : MonotoneOn f (Ici 0)) : Monotone f := by
refine MonotoneOn.Iic_union_Ici (fun x hx y hy hxy => neg_le_neg_iff.1 ?_) h₂ rw [← h₁, ← h₁] exact h₂ (neg_nonneg.2 hy) (neg_nonneg.2 hx) (neg_le_neg hxy)
import Mathlib.Topology.Algebra.GroupCompletion import Mathlib.Topology.Algebra.InfiniteSum.Group open UniformSpace.Completion variable {α β : Type*} [AddCommGroup α] [UniformSpace α] [UniformAddGroup α] theorem hasSum_iff_hasSum_compl (f : β → α) (a : α): HasSum (toCompl ∘ f) a ↔ HasSum f a := (denseInducing_toCompl α).hasSum_iff f a theorem summable_iff_summable_compl_and_tsum_mem (f : β → α) : Summable f ↔ Summable (toCompl ∘ f) ∧ ∑' i, toCompl (f i) ∈ Set.range toCompl := (denseInducing_toCompl α).summable_iff_tsum_comp_mem_range f
Mathlib/Topology/Algebra/InfiniteSum/GroupCompletion.lean
32
45
theorem summable_iff_cauchySeq_finset_and_tsum_mem (f : β → α) : Summable f ↔ CauchySeq (fun s : Finset β ↦ ∑ b in s, f b) ∧ ∑' i, toCompl (f i) ∈ Set.range toCompl := by
classical constructor · rintro ⟨a, ha⟩ exact ⟨ha.cauchySeq, ((summable_iff_summable_compl_and_tsum_mem f).mp ⟨a, ha⟩).2⟩ · rintro ⟨h_cauchy, h_tsum⟩ apply (summable_iff_summable_compl_and_tsum_mem f).mpr constructor · apply summable_iff_cauchySeq_finset.mpr simp_rw [Function.comp_apply, ← map_sum] exact h_cauchy.map (uniformContinuous_coe α) · exact h_tsum
import Batteries.Data.Sum.Basic import Batteries.Logic open Function namespace Sum @[simp] protected theorem «forall» {p : α ⊕ β → Prop} : (∀ x, p x) ↔ (∀ a, p (inl a)) ∧ ∀ b, p (inr b) := ⟨fun h => ⟨fun _ => h _, fun _ => h _⟩, fun ⟨h₁, h₂⟩ => Sum.rec h₁ h₂⟩ @[simp] protected theorem «exists» {p : α ⊕ β → Prop} : (∃ x, p x) ↔ (∃ a, p (inl a)) ∨ ∃ b, p (inr b) := ⟨ fun | ⟨inl a, h⟩ => Or.inl ⟨a, h⟩ | ⟨inr b, h⟩ => Or.inr ⟨b, h⟩, fun | Or.inl ⟨a, h⟩ => ⟨inl a, h⟩ | Or.inr ⟨b, h⟩ => ⟨inr b, h⟩⟩ theorem forall_sum {γ : α ⊕ β → Sort _} (p : (∀ ab, γ ab) → Prop) : (∀ fab, p fab) ↔ (∀ fa fb, p (Sum.rec fa fb)) := by refine ⟨fun h fa fb => h _, fun h fab => ?_⟩ have h1 : fab = Sum.rec (fun a => fab (Sum.inl a)) (fun b => fab (Sum.inr b)) := by ext ab; cases ab <;> rfl rw [h1]; exact h _ _ section get @[simp] theorem inl_getLeft : ∀ (x : α ⊕ β) (h : x.isLeft), inl (x.getLeft h) = x | inl _, _ => rfl @[simp] theorem inr_getRight : ∀ (x : α ⊕ β) (h : x.isRight), inr (x.getRight h) = x | inr _, _ => rfl @[simp] theorem getLeft?_eq_none_iff {x : α ⊕ β} : x.getLeft? = none ↔ x.isRight := by cases x <;> simp only [getLeft?, isRight, eq_self_iff_true] @[simp] theorem getRight?_eq_none_iff {x : α ⊕ β} : x.getRight? = none ↔ x.isLeft := by cases x <;> simp only [getRight?, isLeft, eq_self_iff_true] theorem eq_left_getLeft_of_isLeft : ∀ {x : α ⊕ β} (h : x.isLeft), x = inl (x.getLeft h) | inl _, _ => rfl @[simp] theorem getLeft_eq_iff (h : x.isLeft) : x.getLeft h = a ↔ x = inl a := by cases x <;> simp at h ⊢ theorem eq_right_getRight_of_isRight : ∀ {x : α ⊕ β} (h : x.isRight), x = inr (x.getRight h) | inr _, _ => rfl @[simp] theorem getRight_eq_iff (h : x.isRight) : x.getRight h = b ↔ x = inr b := by cases x <;> simp at h ⊢ @[simp] theorem getLeft?_eq_some_iff : x.getLeft? = some a ↔ x = inl a := by cases x <;> simp only [getLeft?, Option.some.injEq, inl.injEq] @[simp] theorem getRight?_eq_some_iff : x.getRight? = some b ↔ x = inr b := by cases x <;> simp only [getRight?, Option.some.injEq, inr.injEq] @[simp] theorem bnot_isLeft (x : α ⊕ β) : !x.isLeft = x.isRight := by cases x <;> rfl @[simp] theorem isLeft_eq_false {x : α ⊕ β} : x.isLeft = false ↔ x.isRight := by cases x <;> simp theorem not_isLeft {x : α ⊕ β} : ¬x.isLeft ↔ x.isRight := by simp @[simp] theorem bnot_isRight (x : α ⊕ β) : !x.isRight = x.isLeft := by cases x <;> rfl @[simp] theorem isRight_eq_false {x : α ⊕ β} : x.isRight = false ↔ x.isLeft := by cases x <;> simp theorem not_isRight {x : α ⊕ β} : ¬x.isRight ↔ x.isLeft := by simp
.lake/packages/batteries/Batteries/Data/Sum/Lemmas.lean
83
83
theorem isLeft_iff : x.isLeft ↔ ∃ y, x = Sum.inl y := by
cases x <;> simp
import Mathlib.Init.Logic import Mathlib.Tactic.AdaptationNote import Mathlib.Tactic.Coe set_option autoImplicit true -- We align Lean 3 lemmas with lemmas in `Init.SimpLemmas` in Lean 4. #align band_self Bool.and_self #align band_tt Bool.and_true #align band_ff Bool.and_false #align tt_band Bool.true_and #align ff_band Bool.false_and #align bor_self Bool.or_self #align bor_tt Bool.or_true #align bor_ff Bool.or_false #align tt_bor Bool.true_or #align ff_bor Bool.false_or #align bnot_bnot Bool.not_not namespace Bool #align bool.cond_tt Bool.cond_true #align bool.cond_ff Bool.cond_false #align cond_a_a Bool.cond_self attribute [simp] xor_self #align bxor_self Bool.xor_self #align bxor_tt Bool.xor_true #align bxor_ff Bool.xor_false #align tt_bxor Bool.true_xor #align ff_bxor Bool.false_xor theorem true_eq_false_eq_False : ¬true = false := by decide #align tt_eq_ff_eq_false Bool.true_eq_false_eq_False theorem false_eq_true_eq_False : ¬false = true := by decide #align ff_eq_tt_eq_false Bool.false_eq_true_eq_False theorem eq_false_eq_not_eq_true (b : Bool) : (¬b = true) = (b = false) := by simp #align eq_ff_eq_not_eq_tt Bool.eq_false_eq_not_eq_true theorem eq_true_eq_not_eq_false (b : Bool) : (¬b = false) = (b = true) := by simp #align eq_tt_eq_not_eq_ft Bool.eq_true_eq_not_eq_false theorem eq_false_of_not_eq_true {b : Bool} : ¬b = true → b = false := Eq.mp (eq_false_eq_not_eq_true b) #align eq_ff_of_not_eq_tt Bool.eq_false_of_not_eq_true theorem eq_true_of_not_eq_false {b : Bool} : ¬b = false → b = true := Eq.mp (eq_true_eq_not_eq_false b) #align eq_tt_of_not_eq_ff Bool.eq_true_of_not_eq_false
Mathlib/Init/Data/Bool/Lemmas.lean
68
69
theorem and_eq_true_eq_eq_true_and_eq_true (a b : Bool) : ((a && b) = true) = (a = true ∧ b = true) := by
simp
import Mathlib.Algebra.Polynomial.Taylor import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.AdicCompletion.Basic #align_import ring_theory.henselian from "leanprover-community/mathlib"@"d1accf4f9cddb3666c6e8e4da0ac2d19c4ed73f0" noncomputable section universe u v open Polynomial LocalRing Polynomial Function List theorem isLocalRingHom_of_le_jacobson_bot {R : Type*} [CommRing R] (I : Ideal R) (h : I ≤ Ideal.jacobson ⊥) : IsLocalRingHom (Ideal.Quotient.mk I) := by constructor intro a h have : IsUnit (Ideal.Quotient.mk (Ideal.jacobson ⊥) a) := by rw [isUnit_iff_exists_inv] at * obtain ⟨b, hb⟩ := h obtain ⟨b, rfl⟩ := Ideal.Quotient.mk_surjective b use Ideal.Quotient.mk _ b rw [← (Ideal.Quotient.mk _).map_one, ← (Ideal.Quotient.mk _).map_mul, Ideal.Quotient.eq] at hb ⊢ exact h hb obtain ⟨⟨x, y, h1, h2⟩, rfl : x = _⟩ := this obtain ⟨y, rfl⟩ := Ideal.Quotient.mk_surjective y rw [← (Ideal.Quotient.mk _).map_mul, ← (Ideal.Quotient.mk _).map_one, Ideal.Quotient.eq, Ideal.mem_jacobson_bot] at h1 h2 specialize h1 1 simp? at h1 says simp only [mul_one, sub_add_cancel, IsUnit.mul_iff] at h1 exact h1.1 #align is_local_ring_hom_of_le_jacobson_bot isLocalRingHom_of_le_jacobson_bot class HenselianRing (R : Type*) [CommRing R] (I : Ideal R) : Prop where jac : I ≤ Ideal.jacobson ⊥ is_henselian : ∀ (f : R[X]) (_ : f.Monic) (a₀ : R) (_ : f.eval a₀ ∈ I) (_ : IsUnit (Ideal.Quotient.mk I (f.derivative.eval a₀))), ∃ a : R, f.IsRoot a ∧ a - a₀ ∈ I #align henselian_ring HenselianRing class HenselianLocalRing (R : Type*) [CommRing R] extends LocalRing R : Prop where is_henselian : ∀ (f : R[X]) (_ : f.Monic) (a₀ : R) (_ : f.eval a₀ ∈ maximalIdeal R) (_ : IsUnit (f.derivative.eval a₀)), ∃ a : R, f.IsRoot a ∧ a - a₀ ∈ maximalIdeal R #align henselian_local_ring HenselianLocalRing -- see Note [lower instance priority] instance (priority := 100) Field.henselian (K : Type*) [Field K] : HenselianLocalRing K where is_henselian f _ a₀ h₁ _ := by simp only [(maximalIdeal K).eq_bot_of_prime, Ideal.mem_bot] at h₁ ⊢ exact ⟨a₀, h₁, sub_self _⟩ #align field.henselian Field.henselian
Mathlib/RingTheory/Henselian.lean
121
155
theorem HenselianLocalRing.TFAE (R : Type u) [CommRing R] [LocalRing R] : TFAE [HenselianLocalRing R, ∀ f : R[X], f.Monic → ∀ a₀ : ResidueField R, aeval a₀ f = 0 → aeval a₀ (derivative f) ≠ 0 → ∃ a : R, f.IsRoot a ∧ residue R a = a₀, ∀ {K : Type u} [Field K], ∀ (φ : R →+* K), Surjective φ → ∀ f : R[X], f.Monic → ∀ a₀ : K, f.eval₂ φ a₀ = 0 → f.derivative.eval₂ φ a₀ ≠ 0 → ∃ a : R, f.IsRoot a ∧ φ a = a₀] := by
tfae_have 3 → 2 · intro H exact H (residue R) Ideal.Quotient.mk_surjective tfae_have 2 → 1 · intro H constructor intro f hf a₀ h₁ h₂ specialize H f hf (residue R a₀) have aux := flip mem_nonunits_iff.mp h₂ simp only [aeval_def, ResidueField.algebraMap_eq, eval₂_at_apply, ← Ideal.Quotient.eq_zero_iff_mem, ← LocalRing.mem_maximalIdeal] at H h₁ aux obtain ⟨a, ha₁, ha₂⟩ := H h₁ aux refine ⟨a, ha₁, ?_⟩ rw [← Ideal.Quotient.eq_zero_iff_mem] rwa [← sub_eq_zero, ← RingHom.map_sub] at ha₂ tfae_have 1 → 3 · intro hR K _K φ hφ f hf a₀ h₁ h₂ obtain ⟨a₀, rfl⟩ := hφ a₀ have H := HenselianLocalRing.is_henselian f hf a₀ simp only [← ker_eq_maximalIdeal φ hφ, eval₂_at_apply, RingHom.mem_ker φ] at H h₁ h₂ obtain ⟨a, ha₁, ha₂⟩ := H h₁ (by contrapose! h₂ rwa [← mem_nonunits_iff, ← LocalRing.mem_maximalIdeal, ← LocalRing.ker_eq_maximalIdeal φ hφ, RingHom.mem_ker] at h₂) refine ⟨a, ha₁, ?_⟩ rwa [φ.map_sub, sub_eq_zero] at ha₂ tfae_finish
import Mathlib.Algebra.Group.Commute.Basic import Mathlib.GroupTheory.GroupAction.Basic import Mathlib.Dynamics.PeriodicPts import Mathlib.Data.Set.Pointwise.SMul namespace MulAction open Pointwise variable {α : Type*} variable {G : Type*} [Group G] [MulAction G α] variable {M : Type*} [Monoid M] [MulAction M α] section FixedPoints variable (α) in @[to_additive (attr := simp) "In an additive group action, the points fixed by `g` are also fixed by `g⁻¹`"] theorem fixedBy_inv (g : G) : fixedBy α g⁻¹ = fixedBy α g := by ext rw [mem_fixedBy, mem_fixedBy, inv_smul_eq_iff, eq_comm] @[to_additive]
Mathlib/GroupTheory/GroupAction/FixedPoints.lean
65
68
theorem smul_mem_fixedBy_iff_mem_fixedBy {a : α} {g : G} : g • a ∈ fixedBy α g ↔ a ∈ fixedBy α g := by
rw [mem_fixedBy, smul_left_cancel_iff] rfl
import Mathlib.CategoryTheory.Adjunction.Basic open CategoryTheory variable {C D : Type*} [Category C] [Category D] namespace CategoryTheory.Adjunction @[simps] def natTransEquiv {F F' : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') : (G ⟶ G') ≃ (F' ⟶ F) where toFun f := { app := fun X ↦ F'.map ((adj1.unit ≫ whiskerLeft F f).app X) ≫ adj2.counit.app _ naturality := by intro X Y g simp only [← Category.assoc, ← Functor.map_comp] erw [(adj1.unit ≫ (whiskerLeft F f)).naturality] simp } invFun f := { app := fun X ↦ adj2.unit.app (G.obj X) ≫ G'.map (f.app (G.obj X) ≫ adj1.counit.app X) naturality := by intro X Y g erw [← adj2.unit_naturality_assoc] simp only [← Functor.map_comp] simp } left_inv f := by ext X simp only [Functor.comp_obj, NatTrans.comp_app, Functor.id_obj, whiskerLeft_app, Functor.map_comp, Category.assoc, unit_naturality_assoc, right_triangle_components_assoc] erw [← f.naturality (adj1.counit.app X), ← Category.assoc] simp right_inv f := by ext simp @[simp] lemma natTransEquiv_id {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) : natTransEquiv adj adj (𝟙 _) = 𝟙 _ := by ext; simp @[simp] lemma natTransEquiv_id_symm {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) : (natTransEquiv adj adj).symm (𝟙 _) = 𝟙 _ := by ext; simp @[simp] lemma natTransEquiv_comp {F F' F'' : C ⥤ D} {G G' G'' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') (adj3 : F'' ⊣ G'') (f : G ⟶ G') (g : G' ⟶ G'') : natTransEquiv adj2 adj3 g ≫ natTransEquiv adj1 adj2 f = natTransEquiv adj1 adj3 (f ≫ g) := by apply (natTransEquiv adj1 adj3).symm.injective ext X simp only [natTransEquiv_symm_apply_app, Functor.comp_obj, NatTrans.comp_app, natTransEquiv_apply_app, Functor.id_obj, whiskerLeft_app, Functor.map_comp, Category.assoc, unit_naturality_assoc, right_triangle_components_assoc, Equiv.symm_apply_apply, ← g.naturality_assoc, ← g.naturality] simp only [← Category.assoc, unit_naturality, Functor.comp_obj, right_triangle_components, Category.comp_id, ← f.naturality, Category.id_comp] @[simp] lemma natTransEquiv_comp_symm {F F' F'' : C ⥤ D} {G G' G'' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') (adj3 : F'' ⊣ G'') (f : F' ⟶ F) (g : F'' ⟶ F') : (natTransEquiv adj1 adj2).symm f ≫ (natTransEquiv adj2 adj3).symm g = (natTransEquiv adj1 adj3).symm (g ≫ f) := by apply (natTransEquiv adj1 adj3).injective ext simp @[simps] def natIsoEquiv {F F' : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') : (G ≅ G') ≃ (F' ≅ F) where toFun i := { hom := natTransEquiv adj1 adj2 i.hom inv := natTransEquiv adj2 adj1 i.inv } invFun i := { hom := (natTransEquiv adj1 adj2).symm i.hom inv := (natTransEquiv adj2 adj1).symm i.inv } left_inv i := by simp right_inv i := by simp def leftAdjointUniq {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) : F ≅ F' := (natIsoEquiv adj1 adj2 (Iso.refl _)).symm #align category_theory.adjunction.left_adjoint_uniq CategoryTheory.Adjunction.leftAdjointUniq -- Porting note (#10618): removed simp as simp can prove this theorem homEquiv_leftAdjointUniq_hom_app {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) (x : C) : adj1.homEquiv _ _ ((leftAdjointUniq adj1 adj2).hom.app x) = adj2.unit.app x := by simp [leftAdjointUniq] #align category_theory.adjunction.hom_equiv_left_adjoint_uniq_hom_app CategoryTheory.Adjunction.homEquiv_leftAdjointUniq_hom_app @[reassoc (attr := simp)] theorem unit_leftAdjointUniq_hom {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) : adj1.unit ≫ whiskerRight (leftAdjointUniq adj1 adj2).hom G = adj2.unit := by ext x rw [NatTrans.comp_app, ← homEquiv_leftAdjointUniq_hom_app adj1 adj2] simp [← G.map_comp] #align category_theory.adjunction.unit_left_adjoint_uniq_hom CategoryTheory.Adjunction.unit_leftAdjointUniq_hom @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Adjunction/Unique.lean
131
134
theorem unit_leftAdjointUniq_hom_app {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) (x : C) : adj1.unit.app x ≫ G.map ((leftAdjointUniq adj1 adj2).hom.app x) = adj2.unit.app x := by
rw [← unit_leftAdjointUniq_hom adj1 adj2]; rfl
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section variable [LinearOrderedField α] {a b c d : α} {n : ℤ} theorem div_pos_iff : 0 < a / b ↔ 0 < a ∧ 0 < b ∨ a < 0 ∧ b < 0 := by simp only [division_def, mul_pos_iff, inv_pos, inv_lt_zero] #align div_pos_iff div_pos_iff theorem div_neg_iff : a / b < 0 ↔ 0 < a ∧ b < 0 ∨ a < 0 ∧ 0 < b := by simp [division_def, mul_neg_iff] #align div_neg_iff div_neg_iff
Mathlib/Algebra/Order/Field/Basic.lean
638
639
theorem div_nonneg_iff : 0 ≤ a / b ↔ 0 ≤ a ∧ 0 ≤ b ∨ a ≤ 0 ∧ b ≤ 0 := by
simp [division_def, mul_nonneg_iff]
import Mathlib.Analysis.NormedSpace.OperatorNorm.Bilinear import Mathlib.Analysis.NormedSpace.OperatorNorm.NNNorm suppress_compilation open Bornology Metric Set Real open Filter hiding map_smul open scoped Classical NNReal Topology Uniformity -- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*} variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] [NormedAddCommGroup Fₗ] variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃] [NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜₃ G] [NormedSpace 𝕜 Fₗ] (c : 𝕜) {σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} (f g : E →SL[σ₁₂] F) (x y z : E) namespace ContinuousLinearMap section UniformlyExtend variable [CompleteSpace F] (e : E →L[𝕜] Fₗ) (h_dense : DenseRange e) section variable (h_e : UniformInducing e) def extend : Fₗ →SL[σ₁₂] F := -- extension of `f` is continuous have cont := (uniformContinuous_uniformly_extend h_e h_dense f.uniformContinuous).continuous -- extension of `f` agrees with `f` on the domain of the embedding `e` have eq := uniformly_extend_of_ind h_e h_dense f.uniformContinuous { toFun := (h_e.denseInducing h_dense).extend f map_add' := by refine h_dense.induction_on₂ ?_ ?_ · exact isClosed_eq (cont.comp continuous_add) ((cont.comp continuous_fst).add (cont.comp continuous_snd)) · intro x y simp only [eq, ← e.map_add] exact f.map_add _ _ map_smul' := fun k => by refine fun b => h_dense.induction_on b ?_ ?_ · exact isClosed_eq (cont.comp (continuous_const_smul _)) ((continuous_const_smul _).comp cont) · intro x rw [← map_smul] simp only [eq] exact ContinuousLinearMap.map_smulₛₗ _ _ _ cont } #align continuous_linear_map.extend ContinuousLinearMap.extend -- Porting note: previously `(h_e.denseInducing h_dense)` was inferred. @[simp] theorem extend_eq (x : E) : extend f e h_dense h_e (e x) = f x := DenseInducing.extend_eq (h_e.denseInducing h_dense) f.cont _ #align continuous_linear_map.extend_eq ContinuousLinearMap.extend_eq theorem extend_unique (g : Fₗ →SL[σ₁₂] F) (H : g.comp e = f) : extend f e h_dense h_e = g := ContinuousLinearMap.coeFn_injective <| uniformly_extend_unique h_e h_dense (ContinuousLinearMap.ext_iff.1 H) g.continuous #align continuous_linear_map.extend_unique ContinuousLinearMap.extend_unique @[simp] theorem extend_zero : extend (0 : E →SL[σ₁₂] F) e h_dense h_e = 0 := extend_unique _ _ _ _ _ (zero_comp _) #align continuous_linear_map.extend_zero ContinuousLinearMap.extend_zero end section variable {N : ℝ≥0} (h_e : ∀ x, ‖x‖ ≤ N * ‖e x‖) [RingHomIsometric σ₁₂]
Mathlib/Analysis/NormedSpace/OperatorNorm/Completeness.lean
246
263
theorem opNorm_extend_le : ‖f.extend e h_dense (uniformEmbedding_of_bound _ h_e).toUniformInducing‖ ≤ N * ‖f‖ := by
-- Add `opNorm_le_of_dense`? refine opNorm_le_bound _ ?_ (isClosed_property h_dense (isClosed_le ?_ ?_) fun x ↦ ?_) · cases le_total 0 N with | inl hN => exact mul_nonneg hN (norm_nonneg _) | inr hN => have : Unique E := ⟨⟨0⟩, fun x ↦ norm_le_zero_iff.mp <| (h_e x).trans (mul_nonpos_of_nonpos_of_nonneg hN (norm_nonneg _))⟩ obtain rfl : f = 0 := Subsingleton.elim .. simp · exact (cont _).norm · exact continuous_const.mul continuous_norm · rw [extend_eq] calc ‖f x‖ ≤ ‖f‖ * ‖x‖ := le_opNorm _ _ _ ≤ ‖f‖ * (N * ‖e x‖) := mul_le_mul_of_nonneg_left (h_e x) (norm_nonneg _) _ ≤ N * ‖f‖ * ‖e x‖ := by rw [mul_comm ↑N ‖f‖, mul_assoc]
import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Analysis.NormedSpace.Real #align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def log (x : ℝ) : ℝ := if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ #align real.log Real.log theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ := dif_neg hx #align real.log_of_ne_zero Real.log_of_ne_zero theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by rw [log_of_ne_zero hx.ne'] congr exact abs_of_pos hx #align real.log_of_pos Real.log_of_pos theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk] #align real.exp_log_eq_abs Real.exp_log_eq_abs theorem exp_log (hx : 0 < x) : exp (log x) = x := by rw [exp_log_eq_abs hx.ne'] exact abs_of_pos hx #align real.exp_log Real.exp_log theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by rw [exp_log_eq_abs (ne_of_lt hx)] exact abs_of_neg hx #align real.exp_log_of_neg Real.exp_log_of_neg theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by by_cases h_zero : x = 0 · rw [h_zero, log, dif_pos rfl, exp_zero] exact zero_le_one · rw [exp_log_eq_abs h_zero] exact le_abs_self _ #align real.le_exp_log Real.le_exp_log @[simp] theorem log_exp (x : ℝ) : log (exp x) = x := exp_injective <| exp_log (exp_pos x) #align real.log_exp Real.log_exp theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩ #align real.surj_on_log Real.surjOn_log theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩ #align real.log_surjective Real.log_surjective @[simp] theorem range_log : range log = univ := log_surjective.range_eq #align real.range_log Real.range_log @[simp] theorem log_zero : log 0 = 0 := dif_pos rfl #align real.log_zero Real.log_zero @[simp] theorem log_one : log 1 = 0 := exp_injective <| by rw [exp_log zero_lt_one, exp_zero] #align real.log_one Real.log_one @[simp] theorem log_abs (x : ℝ) : log |x| = log x := by by_cases h : x = 0 · simp [h] · rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs] #align real.log_abs Real.log_abs @[simp] theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg] #align real.log_neg_eq_log Real.log_neg_eq_log theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by rw [sinh_eq, exp_neg, exp_log hx] #align real.sinh_log Real.sinh_log theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by rw [cosh_eq, exp_neg, exp_log hx] #align real.cosh_log Real.cosh_log theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ => ⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩ #align real.surj_on_log' Real.surjOn_log' theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y := exp_injective <| by rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul] #align real.log_mul Real.log_mul theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y := exp_injective <| by rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div] #align real.log_div Real.log_div @[simp]
Mathlib/Analysis/SpecialFunctions/Log/Basic.lean
137
139
theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by
by_cases hx : x = 0; · simp [hx] rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv]
import Mathlib.Analysis.Analytic.Basic import Mathlib.Combinatorics.Enumerative.Composition #align_import analysis.analytic.composition from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section variable {𝕜 : Type*} {E F G H : Type*} open Filter List open scoped Topology Classical NNReal ENNReal section Topological variable [CommRing 𝕜] [AddCommGroup E] [AddCommGroup F] [AddCommGroup G] variable [Module 𝕜 E] [Module 𝕜 F] [Module 𝕜 G] variable [TopologicalSpace E] [TopologicalSpace F] [TopologicalSpace G] namespace FormalMultilinearSeries variable [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] variable [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] variable [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G] def applyComposition (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (c : Composition n) : (Fin n → E) → Fin c.length → F := fun v i => p (c.blocksFun i) (v ∘ c.embedding i) #align formal_multilinear_series.apply_composition FormalMultilinearSeries.applyComposition theorem applyComposition_ones (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : p.applyComposition (Composition.ones n) = fun v i => p 1 fun _ => v (Fin.castLE (Composition.length_le _) i) := by funext v i apply p.congr (Composition.ones_blocksFun _ _) intro j hjn hj1 obtain rfl : j = 0 := by omega refine congr_arg v ?_ rw [Fin.ext_iff, Fin.coe_castLE, Composition.ones_embedding, Fin.val_mk] #align formal_multilinear_series.apply_composition_ones FormalMultilinearSeries.applyComposition_ones
Mathlib/Analysis/Analytic/Composition.lean
117
127
theorem applyComposition_single (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (hn : 0 < n) (v : Fin n → E) : p.applyComposition (Composition.single n hn) v = fun _j => p n v := by
ext j refine p.congr (by simp) fun i hi1 hi2 => ?_ dsimp congr 1 convert Composition.single_embedding hn ⟨i, hi2⟩ using 1 cases' j with j_val j_property have : j_val = 0 := le_bot_iff.1 (Nat.lt_succ_iff.1 j_property) congr! simp
import Mathlib.FieldTheory.Separable import Mathlib.FieldTheory.SplittingField.Construction import Mathlib.Algebra.CharP.Reduced open Function Polynomial class PerfectRing (R : Type*) (p : ℕ) [CommSemiring R] [ExpChar R p] : Prop where bijective_frobenius : Bijective <| frobenius R p section PerfectRing variable (R : Type*) (p m n : ℕ) [CommSemiring R] [ExpChar R p] lemma PerfectRing.ofSurjective (R : Type*) (p : ℕ) [CommRing R] [ExpChar R p] [IsReduced R] (h : Surjective <| frobenius R p) : PerfectRing R p := ⟨frobenius_inj R p, h⟩ #align perfect_ring.of_surjective PerfectRing.ofSurjective instance PerfectRing.ofFiniteOfIsReduced (R : Type*) [CommRing R] [ExpChar R p] [Finite R] [IsReduced R] : PerfectRing R p := ofSurjective _ _ <| Finite.surjective_of_injective (frobenius_inj R p) variable [PerfectRing R p] @[simp] theorem bijective_frobenius : Bijective (frobenius R p) := PerfectRing.bijective_frobenius theorem bijective_iterateFrobenius : Bijective (iterateFrobenius R p n) := coe_iterateFrobenius R p n ▸ (bijective_frobenius R p).iterate n @[simp] theorem injective_frobenius : Injective (frobenius R p) := (bijective_frobenius R p).1 @[simp] theorem surjective_frobenius : Surjective (frobenius R p) := (bijective_frobenius R p).2 @[simps! apply] noncomputable def frobeniusEquiv : R ≃+* R := RingEquiv.ofBijective (frobenius R p) PerfectRing.bijective_frobenius #align frobenius_equiv frobeniusEquiv @[simp] theorem coe_frobeniusEquiv : ⇑(frobeniusEquiv R p) = frobenius R p := rfl #align coe_frobenius_equiv coe_frobeniusEquiv theorem frobeniusEquiv_def (x : R) : frobeniusEquiv R p x = x ^ p := rfl @[simps! apply] noncomputable def iterateFrobeniusEquiv : R ≃+* R := RingEquiv.ofBijective (iterateFrobenius R p n) (bijective_iterateFrobenius R p n) @[simp] theorem coe_iterateFrobeniusEquiv : ⇑(iterateFrobeniusEquiv R p n) = iterateFrobenius R p n := rfl theorem iterateFrobeniusEquiv_def (x : R) : iterateFrobeniusEquiv R p n x = x ^ p ^ n := rfl theorem iterateFrobeniusEquiv_add_apply (x : R) : iterateFrobeniusEquiv R p (m + n) x = iterateFrobeniusEquiv R p m (iterateFrobeniusEquiv R p n x) := iterateFrobenius_add_apply R p m n x theorem iterateFrobeniusEquiv_add : iterateFrobeniusEquiv R p (m + n) = (iterateFrobeniusEquiv R p n).trans (iterateFrobeniusEquiv R p m) := RingEquiv.ext (iterateFrobeniusEquiv_add_apply R p m n) theorem iterateFrobeniusEquiv_symm_add_apply (x : R) : (iterateFrobeniusEquiv R p (m + n)).symm x = (iterateFrobeniusEquiv R p m).symm ((iterateFrobeniusEquiv R p n).symm x) := (iterateFrobeniusEquiv R p (m + n)).injective <| by rw [RingEquiv.apply_symm_apply, add_comm, iterateFrobeniusEquiv_add_apply, RingEquiv.apply_symm_apply, RingEquiv.apply_symm_apply] theorem iterateFrobeniusEquiv_symm_add : (iterateFrobeniusEquiv R p (m + n)).symm = (iterateFrobeniusEquiv R p n).symm.trans (iterateFrobeniusEquiv R p m).symm := RingEquiv.ext (iterateFrobeniusEquiv_symm_add_apply R p m n) theorem iterateFrobeniusEquiv_zero_apply (x : R) : iterateFrobeniusEquiv R p 0 x = x := by rw [iterateFrobeniusEquiv_def, pow_zero, pow_one] theorem iterateFrobeniusEquiv_one_apply (x : R) : iterateFrobeniusEquiv R p 1 x = x ^ p := by rw [iterateFrobeniusEquiv_def, pow_one] @[simp] theorem iterateFrobeniusEquiv_zero : iterateFrobeniusEquiv R p 0 = RingEquiv.refl R := RingEquiv.ext (iterateFrobeniusEquiv_zero_apply R p) @[simp] theorem iterateFrobeniusEquiv_one : iterateFrobeniusEquiv R p 1 = frobeniusEquiv R p := RingEquiv.ext (iterateFrobeniusEquiv_one_apply R p) theorem iterateFrobeniusEquiv_eq_pow : iterateFrobeniusEquiv R p n = frobeniusEquiv R p ^ n := DFunLike.ext' <| show _ = ⇑(RingAut.toPerm _ _) by rw [map_pow, Equiv.Perm.coe_pow]; exact (pow_iterate p n).symm
Mathlib/FieldTheory/Perfect.lean
131
133
theorem iterateFrobeniusEquiv_symm : (iterateFrobeniusEquiv R p n).symm = (frobeniusEquiv R p).symm ^ n := by
rw [iterateFrobeniusEquiv_eq_pow]; exact (inv_pow _ _).symm
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.Order.Field.Defs import Mathlib.Data.Tree.Basic import Mathlib.Logic.Basic import Mathlib.Tactic.NormNum.Core import Mathlib.Util.SynthesizeUsing import Mathlib.Util.Qq open Lean Parser Tactic Mathlib Meta NormNum Qq initialize registerTraceClass `CancelDenoms namespace CancelDenoms theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1, ← mul_assoc n2, mul_comm n2, mul_assoc, h2] #align cancel_factors.mul_subst CancelDenoms.mul_subst theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul] #align cancel_factors.div_subst CancelDenoms.div_subst theorem cancel_factors_eq_div {α} [Field α] {n e e' : α} (h : n * e = e') (h2 : n ≠ 0) : e = e' / n := eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h #align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *] #align cancel_factors.add_subst CancelDenoms.add_subst theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) : n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg] #align cancel_factors.sub_subst CancelDenoms.sub_subst
Mathlib/Tactic/CancelDenoms/Core.lean
63
63
theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by
simp [*]
import Mathlib.Data.DFinsupp.Order #align_import data.dfinsupp.multiset from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d" open Function variable {α : Type*} {β : α → Type*} namespace Multiset variable [DecidableEq α] {s t : Multiset α} def toDFinsupp : Multiset α →+ Π₀ _ : α, ℕ where toFun s := { toFun := fun n ↦ s.count n support' := Trunc.mk ⟨s, fun i ↦ (em (i ∈ s)).imp_right Multiset.count_eq_zero_of_not_mem⟩ } map_zero' := rfl map_add' _ _ := DFinsupp.ext fun _ ↦ Multiset.count_add _ _ _ #align multiset.to_dfinsupp Multiset.toDFinsupp @[simp] theorem toDFinsupp_apply (s : Multiset α) (a : α) : Multiset.toDFinsupp s a = s.count a := rfl #align multiset.to_dfinsupp_apply Multiset.toDFinsupp_apply @[simp] theorem toDFinsupp_support (s : Multiset α) : s.toDFinsupp.support = s.toFinset := Finset.filter_true_of_mem fun _ hx ↦ count_ne_zero.mpr <| Multiset.mem_toFinset.1 hx #align multiset.to_dfinsupp_support Multiset.toDFinsupp_support @[simp]
Mathlib/Data/DFinsupp/Multiset.lean
67
71
theorem toDFinsupp_replicate (a : α) (n : ℕ) : toDFinsupp (Multiset.replicate n a) = DFinsupp.single a n := by
ext i dsimp [toDFinsupp] simp [count_replicate, eq_comm]
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Algebra.Polynomial.Eval import Mathlib.GroupTheory.GroupAction.Ring #align_import data.polynomial.derivative from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Finset open Polynomial namespace Polynomial universe u v w y z variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {A : Type z} {a b : R} {n : ℕ} section Derivative section Semiring variable [Semiring R] def derivative : R[X] →ₗ[R] R[X] where toFun p := p.sum fun n a => C (a * n) * X ^ (n - 1) map_add' p q := by dsimp only rw [sum_add_index] <;> simp only [add_mul, forall_const, RingHom.map_add, eq_self_iff_true, zero_mul, RingHom.map_zero] map_smul' a p := by dsimp; rw [sum_smul_index] <;> simp only [mul_sum, ← C_mul', mul_assoc, coeff_C_mul, RingHom.map_mul, forall_const, zero_mul, RingHom.map_zero, sum] #align polynomial.derivative Polynomial.derivative theorem derivative_apply (p : R[X]) : derivative p = p.sum fun n a => C (a * n) * X ^ (n - 1) := rfl #align polynomial.derivative_apply Polynomial.derivative_apply theorem coeff_derivative (p : R[X]) (n : ℕ) : coeff (derivative p) n = coeff p (n + 1) * (n + 1) := by rw [derivative_apply] simp only [coeff_X_pow, coeff_sum, coeff_C_mul] rw [sum, Finset.sum_eq_single (n + 1)] · simp only [Nat.add_succ_sub_one, add_zero, mul_one, if_true, eq_self_iff_true]; norm_cast · intro b cases b · intros rw [Nat.cast_zero, mul_zero, zero_mul] · intro _ H rw [Nat.add_one_sub_one, if_neg (mt (congr_arg Nat.succ) H.symm), mul_zero] · rw [if_pos (add_tsub_cancel_right n 1).symm, mul_one, Nat.cast_add, Nat.cast_one, mem_support_iff] intro h push_neg at h simp [h] #align polynomial.coeff_derivative Polynomial.coeff_derivative -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_zero : derivative (0 : R[X]) = 0 := derivative.map_zero #align polynomial.derivative_zero Polynomial.derivative_zero theorem iterate_derivative_zero {k : ℕ} : derivative^[k] (0 : R[X]) = 0 := iterate_map_zero derivative k #align polynomial.iterate_derivative_zero Polynomial.iterate_derivative_zero @[simp] theorem derivative_monomial (a : R) (n : ℕ) : derivative (monomial n a) = monomial (n - 1) (a * n) := by rw [derivative_apply, sum_monomial_index, C_mul_X_pow_eq_monomial] simp #align polynomial.derivative_monomial Polynomial.derivative_monomial theorem derivative_C_mul_X (a : R) : derivative (C a * X) = C a := by simp [C_mul_X_eq_monomial, derivative_monomial, Nat.cast_one, mul_one] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C_mul_X Polynomial.derivative_C_mul_X theorem derivative_C_mul_X_pow (a : R) (n : ℕ) : derivative (C a * X ^ n) = C (a * n) * X ^ (n - 1) := by rw [C_mul_X_pow_eq_monomial, C_mul_X_pow_eq_monomial, derivative_monomial] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C_mul_X_pow Polynomial.derivative_C_mul_X_pow theorem derivative_C_mul_X_sq (a : R) : derivative (C a * X ^ 2) = C (a * 2) * X := by rw [derivative_C_mul_X_pow, Nat.cast_two, pow_one] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C_mul_X_sq Polynomial.derivative_C_mul_X_sq @[simp] theorem derivative_X_pow (n : ℕ) : derivative (X ^ n : R[X]) = C (n : R) * X ^ (n - 1) := by convert derivative_C_mul_X_pow (1 : R) n <;> simp set_option linter.uppercaseLean3 false in #align polynomial.derivative_X_pow Polynomial.derivative_X_pow -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_X_sq : derivative (X ^ 2 : R[X]) = C 2 * X := by rw [derivative_X_pow, Nat.cast_two, pow_one] set_option linter.uppercaseLean3 false in #align polynomial.derivative_X_sq Polynomial.derivative_X_sq @[simp] theorem derivative_C {a : R} : derivative (C a) = 0 := by simp [derivative_apply] set_option linter.uppercaseLean3 false in #align polynomial.derivative_C Polynomial.derivative_C
Mathlib/Algebra/Polynomial/Derivative.lean
125
126
theorem derivative_of_natDegree_zero {p : R[X]} (hp : p.natDegree = 0) : derivative p = 0 := by
rw [eq_C_of_natDegree_eq_zero hp, derivative_C]
import Mathlib.LinearAlgebra.Quotient import Mathlib.RingTheory.Ideal.Operations namespace Submodule open Pointwise variable {R M M' F G : Type*} [CommRing R] [AddCommGroup M] [Module R M] variable {N N₁ N₂ P P₁ P₂ : Submodule R M} def colon (N P : Submodule R M) : Ideal R := annihilator (P.map N.mkQ) #align submodule.colon Submodule.colon theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N := mem_annihilator.trans ⟨fun H p hp => (Quotient.mk_eq_zero N).1 (H (Quotient.mk p) (mem_map_of_mem hp)), fun H _ ⟨p, hp, hpm⟩ => hpm ▸ ((Quotient.mk_eq_zero N).2 <| H p hp)⟩ #align submodule.mem_colon Submodule.mem_colon theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (LinearMap.id : M →ₗ[R] M)) N := mem_colon #align submodule.mem_colon' Submodule.mem_colon' @[simp] theorem colon_top {I : Ideal R} : I.colon ⊤ = I := by simp_rw [SetLike.ext_iff, mem_colon, smul_eq_mul] exact fun x ↦ ⟨fun h ↦ mul_one x ▸ h 1 trivial, fun h _ _ ↦ I.mul_mem_right _ h⟩ @[simp] theorem colon_bot : colon ⊥ N = N.annihilator := by simp_rw [SetLike.ext_iff, mem_colon, mem_annihilator, mem_bot, forall_const] theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ := fun _ hrnp => mem_colon.2 fun p₁ hp₁ => hn <| mem_colon.1 hrnp p₁ <| hp hp₁ #align submodule.colon_mono Submodule.colon_mono theorem iInf_colon_iSup (ι₁ : Sort*) (f : ι₁ → Submodule R M) (ι₂ : Sort*) (g : ι₂ → Submodule R M) : (⨅ i, f i).colon (⨆ j, g j) = ⨅ (i) (j), (f i).colon (g j) := le_antisymm (le_iInf fun _ => le_iInf fun _ => colon_mono (iInf_le _ _) (le_iSup _ _)) fun _ H => mem_colon'.2 <| iSup_le fun j => map_le_iff_le_comap.1 <| le_iInf fun i => map_le_iff_le_comap.2 <| mem_colon'.1 <| have := (mem_iInf _).1 H i have := (mem_iInf _).1 this j this #align submodule.infi_colon_supr Submodule.iInf_colon_iSup @[simp]
Mathlib/RingTheory/Ideal/Colon.lean
67
72
theorem mem_colon_singleton {N : Submodule R M} {x : M} {r : R} : r ∈ N.colon (Submodule.span R {x}) ↔ r • x ∈ N := calc r ∈ N.colon (Submodule.span R {x}) ↔ ∀ a : R, r • a • x ∈ N := by
simp [Submodule.mem_colon, Submodule.mem_span_singleton] _ ↔ r • x ∈ N := by simp_rw [fun (a : R) ↦ smul_comm r a x]; exact SetLike.forall_smul_mem_iff
import Mathlib.Algebra.Polynomial.Monic #align_import algebra.polynomial.big_operators from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722" open Finset open Multiset open Polynomial universe u w variable {R : Type u} {ι : Type w} namespace Polynomial variable (s : Finset ι) section Semiring variable {S : Type*} [Semiring S] set_option backward.isDefEq.lazyProjDelta false in -- See https://github.com/leanprover-community/mathlib4/issues/12535 theorem natDegree_list_sum_le (l : List S[X]) : natDegree l.sum ≤ (l.map natDegree).foldr max 0 := List.sum_le_foldr_max natDegree (by simp) natDegree_add_le _ #align polynomial.nat_degree_list_sum_le Polynomial.natDegree_list_sum_le theorem natDegree_multiset_sum_le (l : Multiset S[X]) : natDegree l.sum ≤ (l.map natDegree).foldr max max_left_comm 0 := Quotient.inductionOn l (by simpa using natDegree_list_sum_le) #align polynomial.nat_degree_multiset_sum_le Polynomial.natDegree_multiset_sum_le
Mathlib/Algebra/Polynomial/BigOperators.lean
57
59
theorem natDegree_sum_le (f : ι → S[X]) : natDegree (∑ i ∈ s, f i) ≤ s.fold max 0 (natDegree ∘ f) := by
simpa using natDegree_multiset_sum_le (s.val.map f)