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import Mathlib.Order.Cover import Mathlib.Order.Interval.Finset.Defs #align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d" assert_not_exists MonoidWithZero assert_not_exists Finset.sum open Function OrderDual open FinsetInterval variable {ι α : Type*} namespace Finset section Preorder variable [Preorder α] section LocallyFiniteOrder variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α} @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc] #align finset.nonempty_Icc Finset.nonempty_Icc @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico] #align finset.nonempty_Ico Finset.nonempty_Ico @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc] #align finset.nonempty_Ioc Finset.nonempty_Ioc -- TODO: This is nonsense. A locally finite order is never densely ordered @[simp] theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo] #align finset.nonempty_Ioo Finset.nonempty_Ioo @[simp]
Mathlib/Order/Interval/Finset/Basic.lean
78
79
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Algebra.Ring.Opposite import Mathlib.Tactic.Abel #align_import algebra.geom_sum from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" -- Porting note: corrected type in the description of `geom_sum₂_Ico` (in the doc string only). universe u variable {α : Type u} open Finset MulOpposite section Semiring variable [Semiring α]
Mathlib/Algebra/GeomSum.lean
46
48
theorem geom_sum_succ {x : α} {n : ℕ} : ∑ i ∈ range (n + 1), x ^ i = (x * ∑ i ∈ range n, x ^ i) + 1 := by
simp only [mul_sum, ← pow_succ', sum_range_succ', pow_zero]
import Mathlib.Probability.ProbabilityMassFunction.Basic #align_import probability.probability_mass_function.monad from "leanprover-community/mathlib"@"4ac69b290818724c159de091daa3acd31da0ee6d" noncomputable section variable {α β γ : Type*} open scoped Classical open NNReal ENNReal open MeasureTheory namespace PMF section Pure def pure (a : α) : PMF α := ⟨fun a' => if a' = a then 1 else 0, hasSum_ite_eq _ _⟩ #align pmf.pure PMF.pure variable (a a' : α) @[simp] theorem pure_apply : pure a a' = if a' = a then 1 else 0 := rfl #align pmf.pure_apply PMF.pure_apply @[simp] theorem support_pure : (pure a).support = {a} := Set.ext fun a' => by simp [mem_support_iff] #align pmf.support_pure PMF.support_pure theorem mem_support_pure_iff : a' ∈ (pure a).support ↔ a' = a := by simp #align pmf.mem_support_pure_iff PMF.mem_support_pure_iff -- @[simp] -- Porting note (#10618): simp can prove this theorem pure_apply_self : pure a a = 1 := if_pos rfl #align pmf.pure_apply_self PMF.pure_apply_self theorem pure_apply_of_ne (h : a' ≠ a) : pure a a' = 0 := if_neg h #align pmf.pure_apply_of_ne PMF.pure_apply_of_ne instance [Inhabited α] : Inhabited (PMF α) := ⟨pure default⟩ section Measure variable (s : Set α) @[simp]
Mathlib/Probability/ProbabilityMassFunction/Monad.lean
74
80
theorem toOuterMeasure_pure_apply : (pure a).toOuterMeasure s = if a ∈ s then 1 else 0 := by
refine (toOuterMeasure_apply (pure a) s).trans ?_ split_ifs with ha · refine (tsum_congr fun b => ?_).trans (tsum_ite_eq a 1) exact ite_eq_left_iff.2 fun hb => symm (ite_eq_right_iff.2 fun h => (hb <| h.symm ▸ ha).elim) · refine (tsum_congr fun b => ?_).trans tsum_zero exact ite_eq_right_iff.2 fun hb => ite_eq_right_iff.2 fun h => (ha <| h ▸ hb).elim
import Mathlib.Data.Set.Image import Mathlib.Data.SProd #align_import data.set.prod from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" open Function namespace Set section Prod variable {α β γ δ : Type*} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {a : α} {b : β} theorem Subsingleton.prod (hs : s.Subsingleton) (ht : t.Subsingleton) : (s ×ˢ t).Subsingleton := fun _x hx _y hy ↦ Prod.ext (hs hx.1 hy.1) (ht hx.2 hy.2) noncomputable instance decidableMemProd [DecidablePred (· ∈ s)] [DecidablePred (· ∈ t)] : DecidablePred (· ∈ s ×ˢ t) := fun _ => And.decidable #align set.decidable_mem_prod Set.decidableMemProd @[gcongr] theorem prod_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ×ˢ t₁ ⊆ s₂ ×ˢ t₂ := fun _ ⟨h₁, h₂⟩ => ⟨hs h₁, ht h₂⟩ #align set.prod_mono Set.prod_mono @[gcongr] theorem prod_mono_left (hs : s₁ ⊆ s₂) : s₁ ×ˢ t ⊆ s₂ ×ˢ t := prod_mono hs Subset.rfl #align set.prod_mono_left Set.prod_mono_left @[gcongr] theorem prod_mono_right (ht : t₁ ⊆ t₂) : s ×ˢ t₁ ⊆ s ×ˢ t₂ := prod_mono Subset.rfl ht #align set.prod_mono_right Set.prod_mono_right @[simp] theorem prod_self_subset_prod_self : s₁ ×ˢ s₁ ⊆ s₂ ×ˢ s₂ ↔ s₁ ⊆ s₂ := ⟨fun h _ hx => (h (mk_mem_prod hx hx)).1, fun h _ hx => ⟨h hx.1, h hx.2⟩⟩ #align set.prod_self_subset_prod_self Set.prod_self_subset_prod_self @[simp] theorem prod_self_ssubset_prod_self : s₁ ×ˢ s₁ ⊂ s₂ ×ˢ s₂ ↔ s₁ ⊂ s₂ := and_congr prod_self_subset_prod_self <| not_congr prod_self_subset_prod_self #align set.prod_self_ssubset_prod_self Set.prod_self_ssubset_prod_self theorem prod_subset_iff {P : Set (α × β)} : s ×ˢ t ⊆ P ↔ ∀ x ∈ s, ∀ y ∈ t, (x, y) ∈ P := ⟨fun h _ hx _ hy => h (mk_mem_prod hx hy), fun h ⟨_, _⟩ hp => h _ hp.1 _ hp.2⟩ #align set.prod_subset_iff Set.prod_subset_iff theorem forall_prod_set {p : α × β → Prop} : (∀ x ∈ s ×ˢ t, p x) ↔ ∀ x ∈ s, ∀ y ∈ t, p (x, y) := prod_subset_iff #align set.forall_prod_set Set.forall_prod_set theorem exists_prod_set {p : α × β → Prop} : (∃ x ∈ s ×ˢ t, p x) ↔ ∃ x ∈ s, ∃ y ∈ t, p (x, y) := by simp [and_assoc] #align set.exists_prod_set Set.exists_prod_set @[simp] theorem prod_empty : s ×ˢ (∅ : Set β) = ∅ := by ext exact and_false_iff _ #align set.prod_empty Set.prod_empty @[simp]
Mathlib/Data/Set/Prod.lean
90
92
theorem empty_prod : (∅ : Set α) ×ˢ t = ∅ := by
ext exact false_and_iff _
import Mathlib.Algebra.MonoidAlgebra.Basic #align_import algebra.monoid_algebra.division from "leanprover-community/mathlib"@"72c366d0475675f1309d3027d3d7d47ee4423951" variable {k G : Type*} [Semiring k] namespace AddMonoidAlgebra section variable [AddCancelCommMonoid G] noncomputable def divOf (x : k[G]) (g : G) : k[G] := -- note: comapping by `+ g` has the effect of subtracting `g` from every element in -- the support, and discarding the elements of the support from which `g` can't be subtracted. -- If `G` is an additive group, such as `ℤ` when used for `LaurentPolynomial`, -- then no discarding occurs. @Finsupp.comapDomain.addMonoidHom _ _ _ _ (g + ·) (add_right_injective g) x #align add_monoid_algebra.div_of AddMonoidAlgebra.divOf local infixl:70 " /ᵒᶠ " => divOf @[simp] theorem divOf_apply (g : G) (x : k[G]) (g' : G) : (x /ᵒᶠ g) g' = x (g + g') := rfl #align add_monoid_algebra.div_of_apply AddMonoidAlgebra.divOf_apply @[simp] theorem support_divOf (g : G) (x : k[G]) : (x /ᵒᶠ g).support = x.support.preimage (g + ·) (Function.Injective.injOn (add_right_injective g)) := rfl #align add_monoid_algebra.support_div_of AddMonoidAlgebra.support_divOf @[simp] theorem zero_divOf (g : G) : (0 : k[G]) /ᵒᶠ g = 0 := map_zero (Finsupp.comapDomain.addMonoidHom _) #align add_monoid_algebra.zero_div_of AddMonoidAlgebra.zero_divOf @[simp] theorem divOf_zero (x : k[G]) : x /ᵒᶠ 0 = x := by refine Finsupp.ext fun _ => ?_ -- Porting note: `ext` doesn't work simp only [AddMonoidAlgebra.divOf_apply, zero_add] #align add_monoid_algebra.div_of_zero AddMonoidAlgebra.divOf_zero theorem add_divOf (x y : k[G]) (g : G) : (x + y) /ᵒᶠ g = x /ᵒᶠ g + y /ᵒᶠ g := map_add (Finsupp.comapDomain.addMonoidHom _) _ _ #align add_monoid_algebra.add_div_of AddMonoidAlgebra.add_divOf theorem divOf_add (x : k[G]) (a b : G) : x /ᵒᶠ (a + b) = x /ᵒᶠ a /ᵒᶠ b := by refine Finsupp.ext fun _ => ?_ -- Porting note: `ext` doesn't work simp only [AddMonoidAlgebra.divOf_apply, add_assoc] #align add_monoid_algebra.div_of_add AddMonoidAlgebra.divOf_add @[simps] noncomputable def divOfHom : Multiplicative G →* AddMonoid.End k[G] where toFun g := { toFun := fun x => divOf x (Multiplicative.toAdd g) map_zero' := zero_divOf _ map_add' := fun x y => add_divOf x y (Multiplicative.toAdd g) } map_one' := AddMonoidHom.ext divOf_zero map_mul' g₁ g₂ := AddMonoidHom.ext fun _x => (congr_arg _ (add_comm (Multiplicative.toAdd g₁) (Multiplicative.toAdd g₂))).trans (divOf_add _ _ _) #align add_monoid_algebra.div_of_hom AddMonoidAlgebra.divOfHom theorem of'_mul_divOf (a : G) (x : k[G]) : of' k G a * x /ᵒᶠ a = x := by refine Finsupp.ext fun _ => ?_ -- Porting note: `ext` doesn't work rw [AddMonoidAlgebra.divOf_apply, of'_apply, single_mul_apply_aux, one_mul] intro c exact add_right_inj _ #align add_monoid_algebra.of'_mul_div_of AddMonoidAlgebra.of'_mul_divOf theorem mul_of'_divOf (x : k[G]) (a : G) : x * of' k G a /ᵒᶠ a = x := by refine Finsupp.ext fun _ => ?_ -- Porting note: `ext` doesn't work rw [AddMonoidAlgebra.divOf_apply, of'_apply, mul_single_apply_aux, mul_one] intro c rw [add_comm] exact add_right_inj _ #align add_monoid_algebra.mul_of'_div_of AddMonoidAlgebra.mul_of'_divOf theorem of'_divOf (a : G) : of' k G a /ᵒᶠ a = 1 := by simpa only [one_mul] using mul_of'_divOf (1 : k[G]) a #align add_monoid_algebra.of'_div_of AddMonoidAlgebra.of'_divOf noncomputable def modOf (x : k[G]) (g : G) : k[G] := letI := Classical.decPred fun g₁ => ∃ g₂, g₁ = g + g₂ x.filter fun g₁ => ¬∃ g₂, g₁ = g + g₂ #align add_monoid_algebra.mod_of AddMonoidAlgebra.modOf local infixl:70 " %ᵒᶠ " => modOf @[simp]
Mathlib/Algebra/MonoidAlgebra/Division.lean
133
135
theorem modOf_apply_of_not_exists_add (x : k[G]) (g : G) (g' : G) (h : ¬∃ d, g' = g + d) : (x %ᵒᶠ g) g' = x g' := by
classical exact Finsupp.filter_apply_pos _ _ h
import Mathlib.Algebra.Divisibility.Basic import Mathlib.Algebra.Group.Equiv.Basic import Mathlib.Algebra.Ring.Defs #align_import algebra.ring.divisibility from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" variable {α β : Type*} section Semigroup variable [Semigroup α] [Semigroup β] {F : Type*} [EquivLike F α β] [MulEquivClass F α β] (f : F) theorem map_dvd_iff {a b} : f a ∣ f b ↔ a ∣ b := let f := MulEquivClass.toMulEquiv f ⟨fun h ↦ by rw [← f.left_inv a, ← f.left_inv b]; exact map_dvd f.symm h, map_dvd f⟩
Mathlib/Algebra/Ring/Divisibility/Basic.lean
31
38
theorem MulEquiv.decompositionMonoid [DecompositionMonoid β] : DecompositionMonoid α where primal a b c h := by
rw [← map_dvd_iff f, map_mul] at h obtain ⟨a₁, a₂, h⟩ := DecompositionMonoid.primal _ h refine ⟨symm f a₁, symm f a₂, ?_⟩ simp_rw [← map_dvd_iff f, ← map_mul, eq_symm_apply] iterate 2 erw [(f : α ≃* β).apply_symm_apply] exact h
import Mathlib.Combinatorics.SimpleGraph.Clique import Mathlib.Data.ENat.Lattice import Mathlib.Data.Nat.Lattice import Mathlib.Data.Setoid.Partition import Mathlib.Order.Antichain #align_import combinatorics.simple_graph.coloring from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open Fintype Function universe u v namespace SimpleGraph variable {V : Type u} (G : SimpleGraph V) {n : ℕ} abbrev Coloring (α : Type v) := G →g (⊤ : SimpleGraph α) #align simple_graph.coloring SimpleGraph.Coloring variable {G} {α β : Type*} (C : G.Coloring α) theorem Coloring.valid {v w : V} (h : G.Adj v w) : C v ≠ C w := C.map_rel h #align simple_graph.coloring.valid SimpleGraph.Coloring.valid @[match_pattern] def Coloring.mk (color : V → α) (valid : ∀ {v w : V}, G.Adj v w → color v ≠ color w) : G.Coloring α := ⟨color, @valid⟩ #align simple_graph.coloring.mk SimpleGraph.Coloring.mk def Coloring.colorClass (c : α) : Set V := { v : V | C v = c } #align simple_graph.coloring.color_class SimpleGraph.Coloring.colorClass def Coloring.colorClasses : Set (Set V) := (Setoid.ker C).classes #align simple_graph.coloring.color_classes SimpleGraph.Coloring.colorClasses theorem Coloring.mem_colorClass (v : V) : v ∈ C.colorClass (C v) := rfl #align simple_graph.coloring.mem_color_class SimpleGraph.Coloring.mem_colorClass theorem Coloring.colorClasses_isPartition : Setoid.IsPartition C.colorClasses := Setoid.isPartition_classes (Setoid.ker C) #align simple_graph.coloring.color_classes_is_partition SimpleGraph.Coloring.colorClasses_isPartition theorem Coloring.mem_colorClasses {v : V} : C.colorClass (C v) ∈ C.colorClasses := ⟨v, rfl⟩ #align simple_graph.coloring.mem_color_classes SimpleGraph.Coloring.mem_colorClasses theorem Coloring.colorClasses_finite [Finite α] : C.colorClasses.Finite := Setoid.finite_classes_ker _ #align simple_graph.coloring.color_classes_finite SimpleGraph.Coloring.colorClasses_finite theorem Coloring.card_colorClasses_le [Fintype α] [Fintype C.colorClasses] : Fintype.card C.colorClasses ≤ Fintype.card α := by simp [colorClasses] -- Porting note: brute force instance declaration `[Fintype (Setoid.classes (Setoid.ker C))]` haveI : Fintype (Setoid.classes (Setoid.ker C)) := by assumption convert Setoid.card_classes_ker_le C #align simple_graph.coloring.card_color_classes_le SimpleGraph.Coloring.card_colorClasses_le theorem Coloring.not_adj_of_mem_colorClass {c : α} {v w : V} (hv : v ∈ C.colorClass c) (hw : w ∈ C.colorClass c) : ¬G.Adj v w := fun h => C.valid h (Eq.trans hv (Eq.symm hw)) #align simple_graph.coloring.not_adj_of_mem_color_class SimpleGraph.Coloring.not_adj_of_mem_colorClass theorem Coloring.color_classes_independent (c : α) : IsAntichain G.Adj (C.colorClass c) := fun _ hv _ hw _ => C.not_adj_of_mem_colorClass hv hw #align simple_graph.coloring.color_classes_independent SimpleGraph.Coloring.color_classes_independent -- TODO make this computable noncomputable instance [Fintype V] [Fintype α] : Fintype (Coloring G α) := by classical change Fintype (RelHom G.Adj (⊤ : SimpleGraph α).Adj) apply Fintype.ofInjective _ RelHom.coe_fn_injective variable (G) def Colorable (n : ℕ) : Prop := Nonempty (G.Coloring (Fin n)) #align simple_graph.colorable SimpleGraph.Colorable def coloringOfIsEmpty [IsEmpty V] : G.Coloring α := Coloring.mk isEmptyElim fun {v} => isEmptyElim v #align simple_graph.coloring_of_is_empty SimpleGraph.coloringOfIsEmpty theorem colorable_of_isEmpty [IsEmpty V] (n : ℕ) : G.Colorable n := ⟨G.coloringOfIsEmpty⟩ #align simple_graph.colorable_of_is_empty SimpleGraph.colorable_of_isEmpty theorem isEmpty_of_colorable_zero (h : G.Colorable 0) : IsEmpty V := by constructor intro v obtain ⟨i, hi⟩ := h.some v exact Nat.not_lt_zero _ hi #align simple_graph.is_empty_of_colorable_zero SimpleGraph.isEmpty_of_colorable_zero def selfColoring : G.Coloring V := Coloring.mk id fun {_ _} => G.ne_of_adj #align simple_graph.self_coloring SimpleGraph.selfColoring noncomputable def chromaticNumber : ℕ∞ := ⨅ n ∈ setOf G.Colorable, (n : ℕ∞) #align simple_graph.chromatic_number SimpleGraph.chromaticNumber lemma chromaticNumber_eq_biInf {G : SimpleGraph V} : G.chromaticNumber = ⨅ n ∈ setOf G.Colorable, (n : ℕ∞) := rfl lemma chromaticNumber_eq_iInf {G : SimpleGraph V} : G.chromaticNumber = ⨅ n : {m | G.Colorable m}, (n : ℕ∞) := by rw [chromaticNumber, iInf_subtype] lemma Colorable.chromaticNumber_eq_sInf {G : SimpleGraph V} {n} (h : G.Colorable n) : G.chromaticNumber = sInf {n' : ℕ | G.Colorable n'} := by rw [ENat.coe_sInf, chromaticNumber] exact ⟨_, h⟩ def recolorOfEmbedding {α β : Type*} (f : α ↪ β) : G.Coloring α ↪ G.Coloring β where toFun C := (Embedding.completeGraph f).toHom.comp C inj' := by -- this was strangely painful; seems like missing lemmas about embeddings intro C C' h dsimp only at h ext v apply (Embedding.completeGraph f).inj' change ((Embedding.completeGraph f).toHom.comp C) v = _ rw [h] rfl #align simple_graph.recolor_of_embedding SimpleGraph.recolorOfEmbedding @[simp] lemma coe_recolorOfEmbedding (f : α ↪ β) : ⇑(G.recolorOfEmbedding f) = (Embedding.completeGraph f).toHom.comp := rfl def recolorOfEquiv {α β : Type*} (f : α ≃ β) : G.Coloring α ≃ G.Coloring β where toFun := G.recolorOfEmbedding f.toEmbedding invFun := G.recolorOfEmbedding f.symm.toEmbedding left_inv C := by ext v apply Equiv.symm_apply_apply right_inv C := by ext v apply Equiv.apply_symm_apply #align simple_graph.recolor_of_equiv SimpleGraph.recolorOfEquiv @[simp] lemma coe_recolorOfEquiv (f : α ≃ β) : ⇑(G.recolorOfEquiv f) = (Embedding.completeGraph f).toHom.comp := rfl noncomputable def recolorOfCardLE {α β : Type*} [Fintype α] [Fintype β] (hn : Fintype.card α ≤ Fintype.card β) : G.Coloring α ↪ G.Coloring β := G.recolorOfEmbedding <| (Function.Embedding.nonempty_of_card_le hn).some #align simple_graph.recolor_of_card_le SimpleGraph.recolorOfCardLE @[simp] lemma coe_recolorOfCardLE [Fintype α] [Fintype β] (hαβ : card α ≤ card β) : ⇑(G.recolorOfCardLE hαβ) = (Embedding.completeGraph (Embedding.nonempty_of_card_le hαβ).some).toHom.comp := rfl variable {G} theorem Colorable.mono {n m : ℕ} (h : n ≤ m) (hc : G.Colorable n) : G.Colorable m := ⟨G.recolorOfCardLE (by simp [h]) hc.some⟩ #align simple_graph.colorable.mono SimpleGraph.Colorable.mono theorem Coloring.colorable [Fintype α] (C : G.Coloring α) : G.Colorable (Fintype.card α) := ⟨G.recolorOfCardLE (by simp) C⟩ #align simple_graph.coloring.to_colorable SimpleGraph.Coloring.colorable theorem colorable_of_fintype (G : SimpleGraph V) [Fintype V] : G.Colorable (Fintype.card V) := G.selfColoring.colorable #align simple_graph.colorable_of_fintype SimpleGraph.colorable_of_fintype noncomputable def Colorable.toColoring [Fintype α] {n : ℕ} (hc : G.Colorable n) (hn : n ≤ Fintype.card α) : G.Coloring α := by rw [← Fintype.card_fin n] at hn exact G.recolorOfCardLE hn hc.some #align simple_graph.colorable.to_coloring SimpleGraph.Colorable.toColoring theorem Colorable.of_embedding {V' : Type*} {G' : SimpleGraph V'} (f : G ↪g G') {n : ℕ} (h : G'.Colorable n) : G.Colorable n := ⟨(h.toColoring (by simp)).comp f⟩ #align simple_graph.colorable.of_embedding SimpleGraph.Colorable.of_embedding
Mathlib/Combinatorics/SimpleGraph/Coloring.lean
249
264
theorem colorable_iff_exists_bdd_nat_coloring (n : ℕ) : G.Colorable n ↔ ∃ C : G.Coloring ℕ, ∀ v, C v < n := by
constructor · rintro hc have C : G.Coloring (Fin n) := hc.toColoring (by simp) let f := Embedding.completeGraph (@Fin.valEmbedding n) use f.toHom.comp C intro v cases' C with color valid exact Fin.is_lt (color v) · rintro ⟨C, Cf⟩ refine ⟨Coloring.mk ?_ ?_⟩ · exact fun v => ⟨C v, Cf v⟩ · rintro v w hvw simp only [Fin.mk_eq_mk, Ne] exact C.valid hvw
import Mathlib.LinearAlgebra.QuadraticForm.IsometryEquiv #align_import linear_algebra.quadratic_form.prod from "leanprover-community/mathlib"@"9b2755b951bc323c962bd072cd447b375cf58101" universe u v w variable {ι : Type*} {R : Type*} {M₁ M₂ N₁ N₂ : Type*} {Mᵢ Nᵢ : ι → Type*} namespace QuadraticForm section Prod section Semiring variable [CommSemiring R] variable [AddCommMonoid M₁] [AddCommMonoid M₂] [AddCommMonoid N₁] [AddCommMonoid N₂] variable [Module R M₁] [Module R M₂] [Module R N₁] [Module R N₂] @[simps!] def prod (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : QuadraticForm R (M₁ × M₂) := Q₁.comp (LinearMap.fst _ _ _) + Q₂.comp (LinearMap.snd _ _ _) #align quadratic_form.prod QuadraticForm.prod @[simps toLinearEquiv] def IsometryEquiv.prod {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} {Q₁' : QuadraticForm R N₁} {Q₂' : QuadraticForm R N₂} (e₁ : Q₁.IsometryEquiv Q₁') (e₂ : Q₂.IsometryEquiv Q₂') : (Q₁.prod Q₂).IsometryEquiv (Q₁'.prod Q₂') where map_app' x := congr_arg₂ (· + ·) (e₁.map_app x.1) (e₂.map_app x.2) toLinearEquiv := LinearEquiv.prod e₁.toLinearEquiv e₂.toLinearEquiv #align quadratic_form.isometry.prod QuadraticForm.IsometryEquiv.prod @[simps!] def Isometry.inl (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : Q₁ →qᵢ (Q₁.prod Q₂) where toLinearMap := LinearMap.inl R _ _ map_app' m₁ := by simp @[simps!] def Isometry.inr (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : Q₂ →qᵢ (Q₁.prod Q₂) where toLinearMap := LinearMap.inr R _ _ map_app' m₁ := by simp variable (M₂) in @[simps!] def Isometry.fst (Q₁ : QuadraticForm R M₁) : (Q₁.prod (0 : QuadraticForm R M₂)) →qᵢ Q₁ where toLinearMap := LinearMap.fst R _ _ map_app' m₁ := by simp variable (M₁) in @[simps!] def Isometry.snd (Q₂ : QuadraticForm R M₂) : ((0 : QuadraticForm R M₁).prod Q₂) →qᵢ Q₂ where toLinearMap := LinearMap.snd R _ _ map_app' m₁ := by simp @[simp] lemma Isometry.fst_comp_inl (Q₁ : QuadraticForm R M₁) : (fst M₂ Q₁).comp (inl Q₁ (0 : QuadraticForm R M₂)) = .id _ := ext fun _ => rfl @[simp] lemma Isometry.snd_comp_inr (Q₂ : QuadraticForm R M₂) : (snd M₁ Q₂).comp (inr (0 : QuadraticForm R M₁) Q₂) = .id _ := ext fun _ => rfl @[simp] lemma Isometry.snd_comp_inl (Q₂ : QuadraticForm R M₂) : (snd M₁ Q₂).comp (inl (0 : QuadraticForm R M₁) Q₂) = 0 := ext fun _ => rfl @[simp] lemma Isometry.fst_comp_inr (Q₁ : QuadraticForm R M₁) : (fst M₂ Q₁).comp (inr Q₁ (0 : QuadraticForm R M₂)) = 0 := ext fun _ => rfl theorem Equivalent.prod {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} {Q₁' : QuadraticForm R N₁} {Q₂' : QuadraticForm R N₂} (e₁ : Q₁.Equivalent Q₁') (e₂ : Q₂.Equivalent Q₂') : (Q₁.prod Q₂).Equivalent (Q₁'.prod Q₂') := Nonempty.map2 IsometryEquiv.prod e₁ e₂ #align quadratic_form.equivalent.prod QuadraticForm.Equivalent.prod @[simps!] def IsometryEquiv.prodComm (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) : (Q₁.prod Q₂).IsometryEquiv (Q₂.prod Q₁) where toLinearEquiv := LinearEquiv.prodComm _ _ _ map_app' _ := add_comm _ _ @[simps!] def IsometryEquiv.prodProdProdComm (Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) (Q₃ : QuadraticForm R N₁) (Q₄ : QuadraticForm R N₂) : ((Q₁.prod Q₂).prod (Q₃.prod Q₄)).IsometryEquiv ((Q₁.prod Q₃).prod (Q₂.prod Q₄)) where toLinearEquiv := LinearEquiv.prodProdProdComm _ _ _ _ _ map_app' _ := add_add_add_comm _ _ _ _ theorem anisotropic_of_prod {R} [OrderedCommRing R] [Module R M₁] [Module R M₂] {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} (h : (Q₁.prod Q₂).Anisotropic) : Q₁.Anisotropic ∧ Q₂.Anisotropic := by simp_rw [Anisotropic, prod_apply, Prod.forall, Prod.mk_eq_zero] at h constructor · intro x hx refine (h x 0 ?_).1 rw [hx, zero_add, map_zero] · intro x hx refine (h 0 x ?_).2 rw [hx, add_zero, map_zero] #align quadratic_form.anisotropic_of_prod QuadraticForm.anisotropic_of_prod theorem nonneg_prod_iff {R} [OrderedCommRing R] [Module R M₁] [Module R M₂] {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} : (∀ x, 0 ≤ (Q₁.prod Q₂) x) ↔ (∀ x, 0 ≤ Q₁ x) ∧ ∀ x, 0 ≤ Q₂ x := by simp_rw [Prod.forall, prod_apply] constructor · intro h constructor · intro x; simpa only [add_zero, map_zero] using h x 0 · intro x; simpa only [zero_add, map_zero] using h 0 x · rintro ⟨h₁, h₂⟩ x₁ x₂ exact add_nonneg (h₁ x₁) (h₂ x₂) #align quadratic_form.nonneg_prod_iff QuadraticForm.nonneg_prod_iff
Mathlib/LinearAlgebra/QuadraticForm/Prod.lean
163
175
theorem posDef_prod_iff {R} [OrderedCommRing R] [Module R M₁] [Module R M₂] {Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂} : (Q₁.prod Q₂).PosDef ↔ Q₁.PosDef ∧ Q₂.PosDef := by
simp_rw [posDef_iff_nonneg, nonneg_prod_iff] constructor · rintro ⟨⟨hle₁, hle₂⟩, ha⟩ obtain ⟨ha₁, ha₂⟩ := anisotropic_of_prod ha exact ⟨⟨hle₁, ha₁⟩, ⟨hle₂, ha₂⟩⟩ · rintro ⟨⟨hle₁, ha₁⟩, ⟨hle₂, ha₂⟩⟩ refine ⟨⟨hle₁, hle₂⟩, ?_⟩ rintro ⟨x₁, x₂⟩ (hx : Q₁ x₁ + Q₂ x₂ = 0) rw [add_eq_zero_iff' (hle₁ x₁) (hle₂ x₂), ha₁.eq_zero_iff, ha₂.eq_zero_iff] at hx rwa [Prod.mk_eq_zero]
import Mathlib.Algebra.ContinuedFractions.Basic import Mathlib.Algebra.GroupWithZero.Basic #align_import algebra.continued_fractions.translations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction section General variable {α : Type*} {g : GeneralizedContinuedFraction α} {n : ℕ} theorem terminatedAt_iff_s_terminatedAt : g.TerminatedAt n ↔ g.s.TerminatedAt n := by rfl #align generalized_continued_fraction.terminated_at_iff_s_terminated_at GeneralizedContinuedFraction.terminatedAt_iff_s_terminatedAt theorem terminatedAt_iff_s_none : g.TerminatedAt n ↔ g.s.get? n = none := by rfl #align generalized_continued_fraction.terminated_at_iff_s_none GeneralizedContinuedFraction.terminatedAt_iff_s_none
Mathlib/Algebra/ContinuedFractions/Translations.lean
41
42
theorem part_num_none_iff_s_none : g.partialNumerators.get? n = none ↔ g.s.get? n = none := by
cases s_nth_eq : g.s.get? n <;> simp [partialNumerators, s_nth_eq]
import Mathlib.Algebra.Polynomial.UnitTrinomial import Mathlib.RingTheory.Polynomial.GaussLemma import Mathlib.Tactic.LinearCombination #align_import ring_theory.polynomial.selmer from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Polynomial open scoped Polynomial variable {n : ℕ} theorem X_pow_sub_X_sub_one_irreducible_aux (z : ℂ) : ¬(z ^ n = z + 1 ∧ z ^ n + z ^ 2 = 0) := by rintro ⟨h1, h2⟩ replace h3 : z ^ 3 = 1 := by linear_combination (1 - z - z ^ 2 - z ^ n) * h1 + (z ^ n - 2) * h2 have key : z ^ n = 1 ∨ z ^ n = z ∨ z ^ n = z ^ 2 := by rw [← Nat.mod_add_div n 3, pow_add, pow_mul, h3, one_pow, mul_one] have : n % 3 < 3 := Nat.mod_lt n zero_lt_three interval_cases n % 3 <;> simp only [this, pow_zero, pow_one, eq_self_iff_true, or_true_iff, true_or_iff] have z_ne_zero : z ≠ 0 := fun h => zero_ne_one ((zero_pow three_ne_zero).symm.trans (show (0 : ℂ) ^ 3 = 1 from h ▸ h3)) rcases key with (key | key | key) · exact z_ne_zero (by rwa [key, self_eq_add_left] at h1) · exact one_ne_zero (by rwa [key, self_eq_add_right] at h1) · exact z_ne_zero (pow_eq_zero (by rwa [key, add_self_eq_zero] at h2)) set_option linter.uppercaseLean3 false in #align polynomial.X_pow_sub_X_sub_one_irreducible_aux Polynomial.X_pow_sub_X_sub_one_irreducible_aux theorem X_pow_sub_X_sub_one_irreducible (hn1 : n ≠ 1) : Irreducible (X ^ n - X - 1 : ℤ[X]) := by by_cases hn0 : n = 0 · rw [hn0, pow_zero, sub_sub, add_comm, ← sub_sub, sub_self, zero_sub] exact Associated.irreducible ⟨-1, mul_neg_one X⟩ irreducible_X have hn : 1 < n := Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hn0, hn1⟩ have hp : (X ^ n - X - 1 : ℤ[X]) = trinomial 0 1 n (-1) (-1) 1 := by simp only [trinomial, C_neg, C_1]; ring rw [hp] apply IsUnitTrinomial.irreducible_of_coprime' ⟨0, 1, n, zero_lt_one, hn, -1, -1, 1, rfl⟩ rintro z ⟨h1, h2⟩ apply X_pow_sub_X_sub_one_irreducible_aux (n := n) z rw [trinomial_mirror zero_lt_one hn (-1 : ℤˣ).ne_zero (1 : ℤˣ).ne_zero] at h2 simp_rw [trinomial, aeval_add, aeval_mul, aeval_X_pow, aeval_C, Units.val_neg, Units.val_one, map_neg, map_one] at h1 h2 replace h1 : z ^ n = z + 1 := by linear_combination h1 replace h2 := mul_eq_zero_of_left h2 z rw [add_mul, add_mul, add_zero, mul_assoc (-1 : ℂ), ← pow_succ, Nat.sub_add_cancel hn.le] at h2 rw [h1] at h2 ⊢ exact ⟨rfl, by linear_combination -h2⟩ set_option linter.uppercaseLean3 false in #align polynomial.X_pow_sub_X_sub_one_irreducible Polynomial.X_pow_sub_X_sub_one_irreducible
Mathlib/RingTheory/Polynomial/Selmer.lean
71
82
theorem X_pow_sub_X_sub_one_irreducible_rat (hn1 : n ≠ 1) : Irreducible (X ^ n - X - 1 : ℚ[X]) := by
by_cases hn0 : n = 0 · rw [hn0, pow_zero, sub_sub, add_comm, ← sub_sub, sub_self, zero_sub] exact Associated.irreducible ⟨-1, mul_neg_one X⟩ irreducible_X have hp : (X ^ n - X - 1 : ℤ[X]) = trinomial 0 1 n (-1) (-1) 1 := by simp only [trinomial, C_neg, C_1]; ring have hn : 1 < n := Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hn0, hn1⟩ have h := (IsPrimitive.Int.irreducible_iff_irreducible_map_cast ?_).mp (X_pow_sub_X_sub_one_irreducible hn1) · rwa [Polynomial.map_sub, Polynomial.map_sub, Polynomial.map_pow, Polynomial.map_one, Polynomial.map_X] at h · exact hp.symm ▸ (trinomial_monic zero_lt_one hn).isPrimitive
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero #align_import category_theory.limits.shapes.kernels from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d" noncomputable section universe v v₂ u u' u₂ open CategoryTheory open CategoryTheory.Limits.WalkingParallelPair namespace CategoryTheory.Limits variable {C : Type u} [Category.{v} C] variable [HasZeroMorphisms C] abbrev HasKernel {X Y : C} (f : X ⟶ Y) : Prop := HasLimit (parallelPair f 0) #align category_theory.limits.has_kernel CategoryTheory.Limits.HasKernel abbrev HasCokernel {X Y : C} (f : X ⟶ Y) : Prop := HasColimit (parallelPair f 0) #align category_theory.limits.has_cokernel CategoryTheory.Limits.HasCokernel variable {X Y : C} (f : X ⟶ Y) section abbrev KernelFork := Fork f 0 #align category_theory.limits.kernel_fork CategoryTheory.Limits.KernelFork variable {f} @[reassoc (attr := simp)] theorem KernelFork.condition (s : KernelFork f) : Fork.ι s ≫ f = 0 := by erw [Fork.condition, HasZeroMorphisms.comp_zero] #align category_theory.limits.kernel_fork.condition CategoryTheory.Limits.KernelFork.condition -- Porting note (#10618): simp can prove this, removed simp tag theorem KernelFork.app_one (s : KernelFork f) : s.π.app one = 0 := by simp [Fork.app_one_eq_ι_comp_right] #align category_theory.limits.kernel_fork.app_one CategoryTheory.Limits.KernelFork.app_one abbrev KernelFork.ofι {Z : C} (ι : Z ⟶ X) (w : ι ≫ f = 0) : KernelFork f := Fork.ofι ι <| by rw [w, HasZeroMorphisms.comp_zero] #align category_theory.limits.kernel_fork.of_ι CategoryTheory.Limits.KernelFork.ofι @[simp] theorem KernelFork.ι_ofι {X Y P : C} (f : X ⟶ Y) (ι : P ⟶ X) (w : ι ≫ f = 0) : Fork.ι (KernelFork.ofι ι w) = ι := rfl #align category_theory.limits.kernel_fork.ι_of_ι CategoryTheory.Limits.KernelFork.ι_ofι section -- attribute [local tidy] tactic.case_bash Porting note: no tidy nor case_bash def isoOfι (s : Fork f 0) : s ≅ Fork.ofι (Fork.ι s) (Fork.condition s) := Cones.ext (Iso.refl _) <| by rintro ⟨j⟩ <;> simp #align category_theory.limits.iso_of_ι CategoryTheory.Limits.isoOfι def ofιCongr {P : C} {ι ι' : P ⟶ X} {w : ι ≫ f = 0} (h : ι = ι') : KernelFork.ofι ι w ≅ KernelFork.ofι ι' (by rw [← h, w]) := Cones.ext (Iso.refl _) #align category_theory.limits.of_ι_congr CategoryTheory.Limits.ofιCongr def compNatIso {D : Type u'} [Category.{v} D] [HasZeroMorphisms D] (F : C ⥤ D) [F.IsEquivalence] : parallelPair f 0 ⋙ F ≅ parallelPair (F.map f) 0 := let app (j :WalkingParallelPair) : (parallelPair f 0 ⋙ F).obj j ≅ (parallelPair (F.map f) 0).obj j := match j with | zero => Iso.refl _ | one => Iso.refl _ NatIso.ofComponents app <| by rintro ⟨i⟩ ⟨j⟩ <;> intro g <;> cases g <;> simp [app] #align category_theory.limits.comp_nat_iso CategoryTheory.Limits.compNatIso end def KernelFork.IsLimit.lift' {s : KernelFork f} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : { l : W ⟶ s.pt // l ≫ Fork.ι s = k } := ⟨hs.lift <| KernelFork.ofι _ h, hs.fac _ _⟩ #align category_theory.limits.kernel_fork.is_limit.lift' CategoryTheory.Limits.KernelFork.IsLimit.lift' def isLimitAux (t : KernelFork f) (lift : ∀ s : KernelFork f, s.pt ⟶ t.pt) (fac : ∀ s : KernelFork f, lift s ≫ t.ι = s.ι) (uniq : ∀ (s : KernelFork f) (m : s.pt ⟶ t.pt) (_ : m ≫ t.ι = s.ι), m = lift s) : IsLimit t := { lift fac := fun s j => by cases j · exact fac s · simp uniq := fun s m w => uniq s m (w Limits.WalkingParallelPair.zero) } #align category_theory.limits.is_limit_aux CategoryTheory.Limits.isLimitAux def KernelFork.IsLimit.ofι {W : C} (g : W ⟶ X) (eq : g ≫ f = 0) (lift : ∀ {W' : C} (g' : W' ⟶ X) (_ : g' ≫ f = 0), W' ⟶ W) (fac : ∀ {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0), lift g' eq' ≫ g = g') (uniq : ∀ {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0) (m : W' ⟶ W) (_ : m ≫ g = g'), m = lift g' eq') : IsLimit (KernelFork.ofι g eq) := isLimitAux _ (fun s => lift s.ι s.condition) (fun s => fac s.ι s.condition) fun s => uniq s.ι s.condition #align category_theory.limits.kernel_fork.is_limit.of_ι CategoryTheory.Limits.KernelFork.IsLimit.ofι def KernelFork.IsLimit.ofι' {X Y K : C} {f : X ⟶ Y} (i : K ⟶ X) (w : i ≫ f = 0) (h : ∀ {A : C} (k : A ⟶ X) (_ : k ≫ f = 0), { l : A ⟶ K // l ≫ i = k}) [hi : Mono i] : IsLimit (KernelFork.ofι i w) := ofι _ _ (fun {A} k hk => (h k hk).1) (fun {A} k hk => (h k hk).2) (fun {A} k hk m hm => by rw [← cancel_mono i, (h k hk).2, hm]) def isKernelCompMono {c : KernelFork f} (i : IsLimit c) {Z} (g : Y ⟶ Z) [hg : Mono g] {h : X ⟶ Z} (hh : h = f ≫ g) : IsLimit (KernelFork.ofι c.ι (by simp [hh]) : KernelFork h) := Fork.IsLimit.mk' _ fun s => let s' : KernelFork f := Fork.ofι s.ι (by rw [← cancel_mono g]; simp [← hh, s.condition]) let l := KernelFork.IsLimit.lift' i s'.ι s'.condition ⟨l.1, l.2, fun hm => by apply Fork.IsLimit.hom_ext i; rw [Fork.ι_ofι] at hm; rw [hm]; exact l.2.symm⟩ #align category_theory.limits.is_kernel_comp_mono CategoryTheory.Limits.isKernelCompMono theorem isKernelCompMono_lift {c : KernelFork f} (i : IsLimit c) {Z} (g : Y ⟶ Z) [hg : Mono g] {h : X ⟶ Z} (hh : h = f ≫ g) (s : KernelFork h) : (isKernelCompMono i g hh).lift s = i.lift (Fork.ofι s.ι (by rw [← cancel_mono g, Category.assoc, ← hh] simp)) := rfl #align category_theory.limits.is_kernel_comp_mono_lift CategoryTheory.Limits.isKernelCompMono_lift def isKernelOfComp {W : C} (g : Y ⟶ W) (h : X ⟶ W) {c : KernelFork h} (i : IsLimit c) (hf : c.ι ≫ f = 0) (hfg : f ≫ g = h) : IsLimit (KernelFork.ofι c.ι hf) := Fork.IsLimit.mk _ (fun s => i.lift (KernelFork.ofι s.ι (by simp [← hfg]))) (fun s => by simp only [KernelFork.ι_ofι, Fork.IsLimit.lift_ι]) fun s m h => by apply Fork.IsLimit.hom_ext i; simpa using h #align category_theory.limits.is_kernel_of_comp CategoryTheory.Limits.isKernelOfComp def KernelFork.IsLimit.ofId {X Y : C} (f : X ⟶ Y) (hf : f = 0) : IsLimit (KernelFork.ofι (𝟙 X) (show 𝟙 X ≫ f = 0 by rw [hf, comp_zero])) := KernelFork.IsLimit.ofι _ _ (fun x _ => x) (fun _ _ => Category.comp_id _) (fun _ _ _ hb => by simp only [← hb, Category.comp_id]) def KernelFork.IsLimit.ofMonoOfIsZero {X Y : C} {f : X ⟶ Y} (c : KernelFork f) (hf : Mono f) (h : IsZero c.pt) : IsLimit c := isLimitAux _ (fun s => 0) (fun s => by rw [zero_comp, ← cancel_mono f, zero_comp, s.condition]) (fun _ _ _ => h.eq_of_tgt _ _) lemma KernelFork.IsLimit.isIso_ι {X Y : C} {f : X ⟶ Y} (c : KernelFork f) (hc : IsLimit c) (hf : f = 0) : IsIso c.ι := by let e : c.pt ≅ X := IsLimit.conePointUniqueUpToIso hc (KernelFork.IsLimit.ofId (f : X ⟶ Y) hf) have eq : e.inv ≫ c.ι = 𝟙 X := Fork.IsLimit.lift_ι hc haveI : IsIso (e.inv ≫ c.ι) := by rw [eq] infer_instance exact IsIso.of_isIso_comp_left e.inv c.ι end section variable [HasKernel f] abbrev kernel (f : X ⟶ Y) [HasKernel f] : C := equalizer f 0 #align category_theory.limits.kernel CategoryTheory.Limits.kernel abbrev kernel.ι : kernel f ⟶ X := equalizer.ι f 0 #align category_theory.limits.kernel.ι CategoryTheory.Limits.kernel.ι @[simp] theorem equalizer_as_kernel : equalizer.ι f 0 = kernel.ι f := rfl #align category_theory.limits.equalizer_as_kernel CategoryTheory.Limits.equalizer_as_kernel @[reassoc (attr := simp)] theorem kernel.condition : kernel.ι f ≫ f = 0 := KernelFork.condition _ #align category_theory.limits.kernel.condition CategoryTheory.Limits.kernel.condition def kernelIsKernel : IsLimit (Fork.ofι (kernel.ι f) ((kernel.condition f).trans comp_zero.symm)) := IsLimit.ofIsoLimit (limit.isLimit _) (Fork.ext (Iso.refl _) (by aesop_cat)) #align category_theory.limits.kernel_is_kernel CategoryTheory.Limits.kernelIsKernel abbrev kernel.lift {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f := (kernelIsKernel f).lift (KernelFork.ofι k h) #align category_theory.limits.kernel.lift CategoryTheory.Limits.kernel.lift @[reassoc (attr := simp)] theorem kernel.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : kernel.lift f k h ≫ kernel.ι f = k := (kernelIsKernel f).fac (KernelFork.ofι k h) WalkingParallelPair.zero #align category_theory.limits.kernel.lift_ι CategoryTheory.Limits.kernel.lift_ι @[simp] theorem kernel.lift_zero {W : C} {h} : kernel.lift f (0 : W ⟶ X) h = 0 := by ext; simp #align category_theory.limits.kernel.lift_zero CategoryTheory.Limits.kernel.lift_zero instance kernel.lift_mono {W : C} (k : W ⟶ X) (h : k ≫ f = 0) [Mono k] : Mono (kernel.lift f k h) := ⟨fun {Z} g g' w => by replace w := w =≫ kernel.ι f simp only [Category.assoc, kernel.lift_ι] at w exact (cancel_mono k).1 w⟩ #align category_theory.limits.kernel.lift_mono CategoryTheory.Limits.kernel.lift_mono def kernel.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : { l : W ⟶ kernel f // l ≫ kernel.ι f = k } := ⟨kernel.lift f k h, kernel.lift_ι _ _ _⟩ #align category_theory.limits.kernel.lift' CategoryTheory.Limits.kernel.lift' abbrev kernel.map {X' Y' : C} (f' : X' ⟶ Y') [HasKernel f'] (p : X ⟶ X') (q : Y ⟶ Y') (w : f ≫ q = p ≫ f') : kernel f ⟶ kernel f' := kernel.lift f' (kernel.ι f ≫ p) (by simp [← w]) #align category_theory.limits.kernel.map CategoryTheory.Limits.kernel.map theorem kernel.lift_map {X Y Z X' Y' Z' : C} (f : X ⟶ Y) (g : Y ⟶ Z) [HasKernel g] (w : f ≫ g = 0) (f' : X' ⟶ Y') (g' : Y' ⟶ Z') [HasKernel g'] (w' : f' ≫ g' = 0) (p : X ⟶ X') (q : Y ⟶ Y') (r : Z ⟶ Z') (h₁ : f ≫ q = p ≫ f') (h₂ : g ≫ r = q ≫ g') : kernel.lift g f w ≫ kernel.map g g' q r h₂ = p ≫ kernel.lift g' f' w' := by ext; simp [h₁] #align category_theory.limits.kernel.lift_map CategoryTheory.Limits.kernel.lift_map @[simps] def kernel.mapIso {X' Y' : C} (f' : X' ⟶ Y') [HasKernel f'] (p : X ≅ X') (q : Y ≅ Y') (w : f ≫ q.hom = p.hom ≫ f') : kernel f ≅ kernel f' where hom := kernel.map f f' p.hom q.hom w inv := kernel.map f' f p.inv q.inv (by refine (cancel_mono q.hom).1 ?_ simp [w]) #align category_theory.limits.kernel.map_iso CategoryTheory.Limits.kernel.mapIso instance kernel.ι_zero_isIso : IsIso (kernel.ι (0 : X ⟶ Y)) := equalizer.ι_of_self _ #align category_theory.limits.kernel.ι_zero_is_iso CategoryTheory.Limits.kernel.ι_zero_isIso theorem eq_zero_of_epi_kernel [Epi (kernel.ι f)] : f = 0 := (cancel_epi (kernel.ι f)).1 (by simp) #align category_theory.limits.eq_zero_of_epi_kernel CategoryTheory.Limits.eq_zero_of_epi_kernel def kernelZeroIsoSource : kernel (0 : X ⟶ Y) ≅ X := equalizer.isoSourceOfSelf 0 #align category_theory.limits.kernel_zero_iso_source CategoryTheory.Limits.kernelZeroIsoSource @[simp] theorem kernelZeroIsoSource_hom : kernelZeroIsoSource.hom = kernel.ι (0 : X ⟶ Y) := rfl #align category_theory.limits.kernel_zero_iso_source_hom CategoryTheory.Limits.kernelZeroIsoSource_hom @[simp]
Mathlib/CategoryTheory/Limits/Shapes/Kernels.lean
369
372
theorem kernelZeroIsoSource_inv : kernelZeroIsoSource.inv = kernel.lift (0 : X ⟶ Y) (𝟙 X) (by simp) := by
ext simp [kernelZeroIsoSource]
import Mathlib.CategoryTheory.EqToHom import Mathlib.CategoryTheory.Quotient import Mathlib.Combinatorics.Quiver.Path #align_import category_theory.path_category from "leanprover-community/mathlib"@"c6dd521ebdce53bb372c527569dd7c25de53a08b" universe v₁ v₂ u₁ u₂ namespace CategoryTheory section def Paths (V : Type u₁) : Type u₁ := V #align category_theory.paths CategoryTheory.Paths instance (V : Type u₁) [Inhabited V] : Inhabited (Paths V) := ⟨(default : V)⟩ variable (V : Type u₁) [Quiver.{v₁ + 1} V] namespace Paths instance categoryPaths : Category.{max u₁ v₁} (Paths V) where Hom := fun X Y : V => Quiver.Path X Y id X := Quiver.Path.nil comp f g := Quiver.Path.comp f g #align category_theory.paths.category_paths CategoryTheory.Paths.categoryPaths variable {V} @[simps] def of : V ⥤q Paths V where obj X := X map f := f.toPath #align category_theory.paths.of CategoryTheory.Paths.of attribute [local ext] Functor.ext def lift {C} [Category C] (φ : V ⥤q C) : Paths V ⥤ C where obj := φ.obj map {X} {Y} f := @Quiver.Path.rec V _ X (fun Y _ => φ.obj X ⟶ φ.obj Y) (𝟙 <| φ.obj X) (fun _ f ihp => ihp ≫ φ.map f) Y f map_id X := rfl map_comp f g := by induction' g with _ _ g' p ih _ _ _ · rw [Category.comp_id] rfl · have : f ≫ Quiver.Path.cons g' p = (f ≫ g').cons p := by apply Quiver.Path.comp_cons rw [this] simp only at ih ⊢ rw [ih, Category.assoc] #align category_theory.paths.lift CategoryTheory.Paths.lift @[simp] theorem lift_nil {C} [Category C] (φ : V ⥤q C) (X : V) : (lift φ).map Quiver.Path.nil = 𝟙 (φ.obj X) := rfl #align category_theory.paths.lift_nil CategoryTheory.Paths.lift_nil @[simp] theorem lift_cons {C} [Category C] (φ : V ⥤q C) {X Y Z : V} (p : Quiver.Path X Y) (f : Y ⟶ Z) : (lift φ).map (p.cons f) = (lift φ).map p ≫ φ.map f := rfl #align category_theory.paths.lift_cons CategoryTheory.Paths.lift_cons @[simp] theorem lift_toPath {C} [Category C] (φ : V ⥤q C) {X Y : V} (f : X ⟶ Y) : (lift φ).map f.toPath = φ.map f := by dsimp [Quiver.Hom.toPath, lift] simp #align category_theory.paths.lift_to_path CategoryTheory.Paths.lift_toPath theorem lift_spec {C} [Category C] (φ : V ⥤q C) : of ⋙q (lift φ).toPrefunctor = φ := by fapply Prefunctor.ext · rintro X rfl · rintro X Y f rcases φ with ⟨φo, φm⟩ dsimp [lift, Quiver.Hom.toPath] simp only [Category.id_comp] #align category_theory.paths.lift_spec CategoryTheory.Paths.lift_spec theorem lift_unique {C} [Category C] (φ : V ⥤q C) (Φ : Paths V ⥤ C) (hΦ : of ⋙q Φ.toPrefunctor = φ) : Φ = lift φ := by subst_vars fapply Functor.ext · rintro X rfl · rintro X Y f dsimp [lift] induction' f with _ _ p f' ih · simp only [Category.comp_id] apply Functor.map_id · simp only [Category.comp_id, Category.id_comp] at ih ⊢ -- Porting note: Had to do substitute `p.cons f'` and `f'.toPath` by their fully qualified -- versions in this `have` clause (elsewhere too). have : Φ.map (Quiver.Path.cons p f') = Φ.map p ≫ Φ.map (Quiver.Hom.toPath f') := by convert Functor.map_comp Φ p (Quiver.Hom.toPath f') rw [this, ih] #align category_theory.paths.lift_unique CategoryTheory.Paths.lift_unique @[ext]
Mathlib/CategoryTheory/PathCategory.lean
124
135
theorem ext_functor {C} [Category C] {F G : Paths V ⥤ C} (h_obj : F.obj = G.obj) (h : ∀ (a b : V) (e : a ⟶ b), F.map e.toPath = eqToHom (congr_fun h_obj a) ≫ G.map e.toPath ≫ eqToHom (congr_fun h_obj.symm b)) : F = G := by
fapply Functor.ext · intro X rw [h_obj] · intro X Y f induction' f with Y' Z' g e ih · erw [F.map_id, G.map_id, Category.id_comp, eqToHom_trans, eqToHom_refl] · erw [F.map_comp g (Quiver.Hom.toPath e), G.map_comp g (Quiver.Hom.toPath e), ih, h] simp only [Category.id_comp, eqToHom_refl, eqToHom_trans_assoc, Category.assoc]
import Mathlib.LinearAlgebra.Basis.VectorSpace import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.SetTheory.Cardinal.Subfield import Mathlib.LinearAlgebra.Dimension.RankNullity #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u₀ u v v' v'' u₁' w w' variable {K R : Type u} {V V₁ V₂ V₃ : Type v} {V' V'₁ : Type v'} {V'' : Type v''} variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*} open Cardinal Basis Submodule Function Set section Module section Cardinal variable (K) variable [DivisionRing K] theorem max_aleph0_card_le_rank_fun_nat : max ℵ₀ #K ≤ Module.rank K (ℕ → K) := by have aleph0_le : ℵ₀ ≤ Module.rank K (ℕ → K) := (rank_finsupp_self K ℕ).symm.trans_le (Finsupp.lcoeFun.rank_le_of_injective <| by exact DFunLike.coe_injective) refine max_le aleph0_le ?_ obtain card_K | card_K := le_or_lt #K ℵ₀ · exact card_K.trans aleph0_le by_contra! obtain ⟨⟨ιK, bK⟩⟩ := Module.Free.exists_basis (R := K) (M := ℕ → K) let L := Subfield.closure (Set.range (fun i : ιK × ℕ ↦ bK i.1 i.2)) have hLK : #L < #K := by refine (Subfield.cardinal_mk_closure_le_max _).trans_lt (max_lt_iff.mpr ⟨mk_range_le.trans_lt ?_, card_K⟩) rwa [mk_prod, ← aleph0, lift_uzero, bK.mk_eq_rank'', mul_aleph0_eq aleph0_le] letI := Module.compHom K (RingHom.op L.subtype) obtain ⟨⟨ιL, bL⟩⟩ := Module.Free.exists_basis (R := Lᵐᵒᵖ) (M := K) have card_ιL : ℵ₀ ≤ #ιL := by contrapose! hLK haveI := @Fintype.ofFinite _ (lt_aleph0_iff_finite.mp hLK) rw [bL.repr.toEquiv.cardinal_eq, mk_finsupp_of_fintype, ← MulOpposite.opEquiv.cardinal_eq] at card_K ⊢ apply power_nat_le contrapose! card_K exact (power_lt_aleph0 card_K <| nat_lt_aleph0 _).le obtain ⟨e⟩ := lift_mk_le'.mp (card_ιL.trans_eq (lift_uzero #ιL).symm) have rep_e := bK.total_repr (bL ∘ e) rw [Finsupp.total_apply, Finsupp.sum] at rep_e set c := bK.repr (bL ∘ e) set s := c.support let f i (j : s) : L := ⟨bK j i, Subfield.subset_closure ⟨(j, i), rfl⟩⟩ have : ¬LinearIndependent Lᵐᵒᵖ f := fun h ↦ by have := h.cardinal_lift_le_rank rw [lift_uzero, (LinearEquiv.piCongrRight fun _ ↦ MulOpposite.opLinearEquiv Lᵐᵒᵖ).rank_eq, rank_fun'] at this exact (nat_lt_aleph0 _).not_le this obtain ⟨t, g, eq0, i, hi, hgi⟩ := not_linearIndependent_iff.mp this refine hgi (linearIndependent_iff'.mp (bL.linearIndependent.comp e e.injective) t g ?_ i hi) clear_value c s simp_rw [← rep_e, Finset.sum_apply, Pi.smul_apply, Finset.smul_sum] rw [Finset.sum_comm] refine Finset.sum_eq_zero fun i hi ↦ ?_ replace eq0 := congr_arg L.subtype (congr_fun eq0 ⟨i, hi⟩) rw [Finset.sum_apply, map_sum] at eq0 have : SMulCommClass Lᵐᵒᵖ K K := ⟨fun _ _ _ ↦ mul_assoc _ _ _⟩ simp_rw [smul_comm _ (c i), ← Finset.smul_sum] erw [eq0, smul_zero] variable {K} open Function in theorem rank_fun_infinite {ι : Type v} [hι : Infinite ι] : Module.rank K (ι → K) = #(ι → K) := by obtain ⟨⟨ιK, bK⟩⟩ := Module.Free.exists_basis (R := K) (M := ι → K) obtain ⟨e⟩ := lift_mk_le'.mp ((aleph0_le_mk_iff.mpr hι).trans_eq (lift_uzero #ι).symm) have := LinearMap.lift_rank_le_of_injective _ <| LinearMap.funLeft_injective_of_surjective K K _ (invFun_surjective e.injective) rw [lift_umax.{u,v}, lift_id'.{u,v}] at this have key := (lift_le.{v}.mpr <| max_aleph0_card_le_rank_fun_nat K).trans this rw [lift_max, lift_aleph0, max_le_iff] at key haveI : Infinite ιK := by rw [← aleph0_le_mk_iff, bK.mk_eq_rank'']; exact key.1 rw [bK.repr.toEquiv.cardinal_eq, mk_finsupp_lift_of_infinite, lift_umax.{u,v}, lift_id'.{u,v}, bK.mk_eq_rank'', eq_comm, max_eq_left] exact key.2 theorem rank_dual_eq_card_dual_of_aleph0_le_rank' {V : Type*} [AddCommGroup V] [Module K V] (h : ℵ₀ ≤ Module.rank K V) : Module.rank Kᵐᵒᵖ (V →ₗ[K] K) = #(V →ₗ[K] K) := by obtain ⟨⟨ι, b⟩⟩ := Module.Free.exists_basis (R := K) (M := V) rw [← b.mk_eq_rank'', aleph0_le_mk_iff] at h have e := (b.constr Kᵐᵒᵖ (M' := K)).symm.trans (LinearEquiv.piCongrRight fun _ ↦ MulOpposite.opLinearEquiv Kᵐᵒᵖ) rw [e.rank_eq, e.toEquiv.cardinal_eq] apply rank_fun_infinite theorem rank_dual_eq_card_dual_of_aleph0_le_rank {K V} [Field K] [AddCommGroup V] [Module K V] (h : ℵ₀ ≤ Module.rank K V) : Module.rank K (V →ₗ[K] K) = #(V →ₗ[K] K) := by obtain ⟨⟨ι, b⟩⟩ := Module.Free.exists_basis (R := K) (M := V) rw [← b.mk_eq_rank'', aleph0_le_mk_iff] at h have e := (b.constr K (M' := K)).symm rw [e.rank_eq, e.toEquiv.cardinal_eq] apply rank_fun_infinite
Mathlib/LinearAlgebra/Dimension/DivisionRing.lean
322
330
theorem lift_rank_lt_rank_dual' {V : Type v} [AddCommGroup V] [Module K V] (h : ℵ₀ ≤ Module.rank K V) : Cardinal.lift.{u} (Module.rank K V) < Module.rank Kᵐᵒᵖ (V →ₗ[K] K) := by
obtain ⟨⟨ι, b⟩⟩ := Module.Free.exists_basis (R := K) (M := V) rw [← b.mk_eq_rank'', rank_dual_eq_card_dual_of_aleph0_le_rank' h, ← (b.constr ℕ (M' := K)).toEquiv.cardinal_eq, mk_arrow] apply cantor' erw [nat_lt_lift_iff, one_lt_iff_nontrivial] infer_instance
import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import control.traversable.lemmas from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d" universe u open LawfulTraversable open Function hiding comp open Functor attribute [functor_norm] LawfulTraversable.naturality attribute [simp] LawfulTraversable.id_traverse namespace Traversable variable {t : Type u → Type u} variable [Traversable t] [LawfulTraversable t] variable (F G : Type u → Type u) variable [Applicative F] [LawfulApplicative F] variable [Applicative G] [LawfulApplicative G] variable {α β γ : Type u} variable (g : α → F β) variable (h : β → G γ) variable (f : β → γ) def PureTransformation : ApplicativeTransformation Id F where app := @pure F _ preserves_pure' x := rfl preserves_seq' f x := by simp only [map_pure, seq_pure] rfl #align traversable.pure_transformation Traversable.PureTransformation @[simp] theorem pureTransformation_apply {α} (x : id α) : PureTransformation F x = pure x := rfl #align traversable.pure_transformation_apply Traversable.pureTransformation_apply variable {F G} (x : t β) -- Porting note: need to specify `m/F/G := Id` because `id` no longer has a `Monad` instance theorem map_eq_traverse_id : map (f := t) f = traverse (m := Id) (pure ∘ f) := funext fun y => (traverse_eq_map_id f y).symm #align traversable.map_eq_traverse_id Traversable.map_eq_traverse_id theorem map_traverse (x : t α) : map f <$> traverse g x = traverse (map f ∘ g) x := by rw [map_eq_traverse_id f] refine (comp_traverse (pure ∘ f) g x).symm.trans ?_ congr; apply Comp.applicative_comp_id #align traversable.map_traverse Traversable.map_traverse theorem traverse_map (f : β → F γ) (g : α → β) (x : t α) : traverse f (g <$> x) = traverse (f ∘ g) x := by rw [@map_eq_traverse_id t _ _ _ _ g] refine (comp_traverse (G := Id) f (pure ∘ g) x).symm.trans ?_ congr; apply Comp.applicative_id_comp #align traversable.traverse_map Traversable.traverse_map theorem pure_traverse (x : t α) : traverse pure x = (pure x : F (t α)) := by have : traverse pure x = pure (traverse (m := Id) pure x) := (naturality (PureTransformation F) pure x).symm rwa [id_traverse] at this #align traversable.pure_traverse Traversable.pure_traverse theorem id_sequence (x : t α) : sequence (f := Id) (pure <$> x) = pure x := by simp [sequence, traverse_map, id_traverse] #align traversable.id_sequence Traversable.id_sequence
Mathlib/Control/Traversable/Lemmas.lean
93
95
theorem comp_sequence (x : t (F (G α))) : sequence (Comp.mk <$> x) = Comp.mk (sequence <$> sequence x) := by
simp only [sequence, traverse_map, id_comp]; rw [← comp_traverse]; simp [map_id]
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.List.Perm import Mathlib.Data.List.Range #align_import data.list.sublists from "leanprover-community/mathlib"@"ccad6d5093bd2f5c6ca621fc74674cce51355af6" universe u v w variable {α : Type u} {β : Type v} {γ : Type w} open Nat namespace List @[simp] theorem sublists'_nil : sublists' (@nil α) = [[]] := rfl #align list.sublists'_nil List.sublists'_nil @[simp] theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] := rfl #align list.sublists'_singleton List.sublists'_singleton #noalign list.map_sublists'_aux #noalign list.sublists'_aux_append #noalign list.sublists'_aux_eq_sublists' -- Porting note: Not the same as `sublists'_aux` from Lean3 def sublists'Aux (a : α) (r₁ r₂ : List (List α)) : List (List α) := r₁.foldl (init := r₂) fun r l => r ++ [a :: l] #align list.sublists'_aux List.sublists'Aux theorem sublists'Aux_eq_array_foldl (a : α) : ∀ (r₁ r₂ : List (List α)), sublists'Aux a r₁ r₂ = ((r₁.toArray).foldl (init := r₂.toArray) (fun r l => r.push (a :: l))).toList := by intro r₁ r₂ rw [sublists'Aux, Array.foldl_eq_foldl_data] have := List.foldl_hom Array.toList (fun r l => r.push (a :: l)) (fun r l => r ++ [a :: l]) r₁ r₂.toArray (by simp) simpa using this theorem sublists'_eq_sublists'Aux (l : List α) : sublists' l = l.foldr (fun a r => sublists'Aux a r r) [[]] := by simp only [sublists', sublists'Aux_eq_array_foldl] rw [← List.foldr_hom Array.toList] · rfl · intros _ _; congr <;> simp theorem sublists'Aux_eq_map (a : α) (r₁ : List (List α)) : ∀ (r₂ : List (List α)), sublists'Aux a r₁ r₂ = r₂ ++ map (cons a) r₁ := List.reverseRecOn r₁ (fun _ => by simp [sublists'Aux]) fun r₁ l ih r₂ => by rw [map_append, map_singleton, ← append_assoc, ← ih, sublists'Aux, foldl_append, foldl] simp [sublists'Aux] -- Porting note: simp can prove `sublists'_singleton` @[simp 900] theorem sublists'_cons (a : α) (l : List α) : sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) := by simp [sublists'_eq_sublists'Aux, foldr_cons, sublists'Aux_eq_map] #align list.sublists'_cons List.sublists'_cons @[simp] theorem mem_sublists' {s t : List α} : s ∈ sublists' t ↔ s <+ t := by induction' t with a t IH generalizing s · simp only [sublists'_nil, mem_singleton] exact ⟨fun h => by rw [h], eq_nil_of_sublist_nil⟩ simp only [sublists'_cons, mem_append, IH, mem_map] constructor <;> intro h · rcases h with (h | ⟨s, h, rfl⟩) · exact sublist_cons_of_sublist _ h · exact h.cons_cons _ · cases' h with _ _ _ h s _ _ h · exact Or.inl h · exact Or.inr ⟨s, h, rfl⟩ #align list.mem_sublists' List.mem_sublists' @[simp] theorem length_sublists' : ∀ l : List α, length (sublists' l) = 2 ^ length l | [] => rfl | a :: l => by simp_arith only [sublists'_cons, length_append, length_sublists' l, length_map, length, Nat.pow_succ'] #align list.length_sublists' List.length_sublists' @[simp] theorem sublists_nil : sublists (@nil α) = [[]] := rfl #align list.sublists_nil List.sublists_nil @[simp] theorem sublists_singleton (a : α) : sublists [a] = [[], [a]] := rfl #align list.sublists_singleton List.sublists_singleton -- Porting note: Not the same as `sublists_aux` from Lean3 def sublistsAux (a : α) (r : List (List α)) : List (List α) := r.foldl (init := []) fun r l => r ++ [l, a :: l] #align list.sublists_aux List.sublistsAux theorem sublistsAux_eq_array_foldl : sublistsAux = fun (a : α) (r : List (List α)) => (r.toArray.foldl (init := #[]) fun r l => (r.push l).push (a :: l)).toList := by funext a r simp only [sublistsAux, Array.foldl_eq_foldl_data, Array.mkEmpty] have := foldl_hom Array.toList (fun r l => (r.push l).push (a :: l)) (fun (r : List (List α)) l => r ++ [l, a :: l]) r #[] (by simp) simpa using this theorem sublistsAux_eq_bind : sublistsAux = fun (a : α) (r : List (List α)) => r.bind fun l => [l, a :: l] := funext fun a => funext fun r => List.reverseRecOn r (by simp [sublistsAux]) (fun r l ih => by rw [append_bind, ← ih, bind_singleton, sublistsAux, foldl_append] simp [sublistsAux]) @[csimp] theorem sublists_eq_sublistsFast : @sublists = @sublistsFast := by ext α l : 2 trans l.foldr sublistsAux [[]] · rw [sublistsAux_eq_bind, sublists] · simp only [sublistsFast, sublistsAux_eq_array_foldl, Array.foldr_eq_foldr_data] rw [← foldr_hom Array.toList] · rfl · intros _ _; congr <;> simp #noalign list.sublists_aux₁_eq_sublists_aux #noalign list.sublists_aux_cons_eq_sublists_aux₁ #noalign list.sublists_aux_eq_foldr.aux #noalign list.sublists_aux_eq_foldr #noalign list.sublists_aux_cons_cons #noalign list.sublists_aux₁_append #noalign list.sublists_aux₁_concat #noalign list.sublists_aux₁_bind #noalign list.sublists_aux_cons_append theorem sublists_append (l₁ l₂ : List α) : sublists (l₁ ++ l₂) = (sublists l₂) >>= (fun x => (sublists l₁).map (· ++ x)) := by simp only [sublists, foldr_append] induction l₁ with | nil => simp | cons a l₁ ih => rw [foldr_cons, ih] simp [List.bind, join_join, Function.comp] #align list.sublists_append List.sublists_append -- Porting note (#10756): new theorem theorem sublists_cons (a : α) (l : List α) : sublists (a :: l) = sublists l >>= (fun x => [x, a :: x]) := show sublists ([a] ++ l) = _ by rw [sublists_append] simp only [sublists_singleton, map_cons, bind_eq_bind, nil_append, cons_append, map_nil] @[simp] theorem sublists_concat (l : List α) (a : α) : sublists (l ++ [a]) = sublists l ++ map (fun x => x ++ [a]) (sublists l) := by rw [sublists_append, sublists_singleton, bind_eq_bind, cons_bind, cons_bind, nil_bind, map_id'' append_nil, append_nil] #align list.sublists_concat List.sublists_concat theorem sublists_reverse (l : List α) : sublists (reverse l) = map reverse (sublists' l) := by induction' l with hd tl ih <;> [rfl; simp only [reverse_cons, sublists_append, sublists'_cons, map_append, ih, sublists_singleton, map_eq_map, bind_eq_bind, map_map, cons_bind, append_nil, nil_bind, (· ∘ ·)]] #align list.sublists_reverse List.sublists_reverse theorem sublists_eq_sublists' (l : List α) : sublists l = map reverse (sublists' (reverse l)) := by rw [← sublists_reverse, reverse_reverse] #align list.sublists_eq_sublists' List.sublists_eq_sublists' theorem sublists'_reverse (l : List α) : sublists' (reverse l) = map reverse (sublists l) := by simp only [sublists_eq_sublists', map_map, map_id'' reverse_reverse, Function.comp] #align list.sublists'_reverse List.sublists'_reverse theorem sublists'_eq_sublists (l : List α) : sublists' l = map reverse (sublists (reverse l)) := by rw [← sublists'_reverse, reverse_reverse] #align list.sublists'_eq_sublists List.sublists'_eq_sublists #noalign list.sublists_aux_ne_nil @[simp] theorem mem_sublists {s t : List α} : s ∈ sublists t ↔ s <+ t := by rw [← reverse_sublist, ← mem_sublists', sublists'_reverse, mem_map_of_injective reverse_injective] #align list.mem_sublists List.mem_sublists @[simp] theorem length_sublists (l : List α) : length (sublists l) = 2 ^ length l := by simp only [sublists_eq_sublists', length_map, length_sublists', length_reverse] #align list.length_sublists List.length_sublists theorem map_pure_sublist_sublists (l : List α) : map pure l <+ sublists l := by induction' l using reverseRecOn with l a ih <;> simp only [map, map_append, sublists_concat] · simp only [sublists_nil, sublist_cons] exact ((append_sublist_append_left _).2 <| singleton_sublist.2 <| mem_map.2 ⟨[], mem_sublists.2 (nil_sublist _), by rfl⟩).trans ((append_sublist_append_right _).2 ih) #align list.map_ret_sublist_sublists List.map_pure_sublist_sublists set_option linter.deprecated false in @[deprecated map_pure_sublist_sublists (since := "2024-03-24")] theorem map_ret_sublist_sublists (l : List α) : map List.ret l <+ sublists l := map_pure_sublist_sublists l def sublistsLenAux : ℕ → List α → (List α → β) → List β → List β | 0, _, f, r => f [] :: r | _ + 1, [], _, r => r | n + 1, a :: l, f, r => sublistsLenAux (n + 1) l f (sublistsLenAux n l (f ∘ List.cons a) r) #align list.sublists_len_aux List.sublistsLenAux def sublistsLen (n : ℕ) (l : List α) : List (List α) := sublistsLenAux n l id [] #align list.sublists_len List.sublistsLen theorem sublistsLenAux_append : ∀ (n : ℕ) (l : List α) (f : List α → β) (g : β → γ) (r : List β) (s : List γ), sublistsLenAux n l (g ∘ f) (r.map g ++ s) = (sublistsLenAux n l f r).map g ++ s | 0, l, f, g, r, s => by unfold sublistsLenAux; simp | n + 1, [], f, g, r, s => rfl | n + 1, a :: l, f, g, r, s => by unfold sublistsLenAux simp only [show (g ∘ f) ∘ List.cons a = g ∘ f ∘ List.cons a by rfl, sublistsLenAux_append, sublistsLenAux_append] #align list.sublists_len_aux_append List.sublistsLenAux_append theorem sublistsLenAux_eq (l : List α) (n) (f : List α → β) (r) : sublistsLenAux n l f r = (sublistsLen n l).map f ++ r := by rw [sublistsLen, ← sublistsLenAux_append]; rfl #align list.sublists_len_aux_eq List.sublistsLenAux_eq theorem sublistsLenAux_zero (l : List α) (f : List α → β) (r) : sublistsLenAux 0 l f r = f [] :: r := by cases l <;> rfl #align list.sublists_len_aux_zero List.sublistsLenAux_zero @[simp] theorem sublistsLen_zero (l : List α) : sublistsLen 0 l = [[]] := sublistsLenAux_zero _ _ _ #align list.sublists_len_zero List.sublistsLen_zero @[simp] theorem sublistsLen_succ_nil (n) : sublistsLen (n + 1) (@nil α) = [] := rfl #align list.sublists_len_succ_nil List.sublistsLen_succ_nil @[simp] theorem sublistsLen_succ_cons (n) (a : α) (l) : sublistsLen (n + 1) (a :: l) = sublistsLen (n + 1) l ++ (sublistsLen n l).map (cons a) := by rw [sublistsLen, sublistsLenAux, sublistsLenAux_eq, sublistsLenAux_eq, map_id, append_nil]; rfl #align list.sublists_len_succ_cons List.sublistsLen_succ_cons theorem sublistsLen_one (l : List α) : sublistsLen 1 l = l.reverse.map ([·]) := l.rec (by rw [sublistsLen_succ_nil, reverse_nil, map_nil]) fun a s ih ↦ by rw [sublistsLen_succ_cons, ih, reverse_cons, map_append, sublistsLen_zero]; rfl @[simp] theorem length_sublistsLen : ∀ (n) (l : List α), length (sublistsLen n l) = Nat.choose (length l) n | 0, l => by simp | _ + 1, [] => by simp | n + 1, a :: l => by rw [sublistsLen_succ_cons, length_append, length_sublistsLen (n+1) l, length_map, length_sublistsLen n l, length_cons, Nat.choose_succ_succ, Nat.add_comm] #align list.length_sublists_len List.length_sublistsLen theorem sublistsLen_sublist_sublists' : ∀ (n) (l : List α), sublistsLen n l <+ sublists' l | 0, l => by simp | _ + 1, [] => nil_sublist _ | n + 1, a :: l => by rw [sublistsLen_succ_cons, sublists'_cons] exact (sublistsLen_sublist_sublists' _ _).append ((sublistsLen_sublist_sublists' _ _).map _) #align list.sublists_len_sublist_sublists' List.sublistsLen_sublist_sublists' theorem sublistsLen_sublist_of_sublist (n) {l₁ l₂ : List α} (h : l₁ <+ l₂) : sublistsLen n l₁ <+ sublistsLen n l₂ := by induction' n with n IHn generalizing l₁ l₂; · simp induction' h with l₁ l₂ a _ IH l₁ l₂ a s IH; · rfl · refine IH.trans ?_ rw [sublistsLen_succ_cons] apply sublist_append_left · simpa only [sublistsLen_succ_cons] using IH.append ((IHn s).map _) #align list.sublists_len_sublist_of_sublist List.sublistsLen_sublist_of_sublist theorem length_of_sublistsLen : ∀ {n} {l l' : List α}, l' ∈ sublistsLen n l → length l' = n | 0, l, l', h => by simp_all | n + 1, a :: l, l', h => by rw [sublistsLen_succ_cons, mem_append, mem_map] at h rcases h with (h | ⟨l', h, rfl⟩) · exact length_of_sublistsLen h · exact congr_arg (· + 1) (length_of_sublistsLen h) #align list.length_of_sublists_len List.length_of_sublistsLen theorem mem_sublistsLen_self {l l' : List α} (h : l' <+ l) : l' ∈ sublistsLen (length l') l := by induction' h with l₁ l₂ a s IH l₁ l₂ a s IH · simp · cases' l₁ with b l₁ · simp · rw [length, sublistsLen_succ_cons] exact mem_append_left _ IH · rw [length, sublistsLen_succ_cons] exact mem_append_right _ (mem_map.2 ⟨_, IH, rfl⟩) #align list.mem_sublists_len_self List.mem_sublistsLen_self @[simp] theorem mem_sublistsLen {n} {l l' : List α} : l' ∈ sublistsLen n l ↔ l' <+ l ∧ length l' = n := ⟨fun h => ⟨mem_sublists'.1 ((sublistsLen_sublist_sublists' _ _).subset h), length_of_sublistsLen h⟩, fun ⟨h₁, h₂⟩ => h₂ ▸ mem_sublistsLen_self h₁⟩ #align list.mem_sublists_len List.mem_sublistsLen theorem sublistsLen_of_length_lt {n} {l : List α} (h : l.length < n) : sublistsLen n l = [] := eq_nil_iff_forall_not_mem.mpr fun _ => mem_sublistsLen.not.mpr fun ⟨hs, hl⟩ => (h.trans_eq hl.symm).not_le (Sublist.length_le hs) #align list.sublists_len_of_length_lt List.sublistsLen_of_length_lt @[simp] theorem sublistsLen_length : ∀ l : List α, sublistsLen l.length l = [l] | [] => rfl | a :: l => by simp only [length, sublistsLen_succ_cons, sublistsLen_length, map, sublistsLen_of_length_lt (lt_succ_self _), nil_append] #align list.sublists_len_length List.sublistsLen_length open Function theorem Pairwise.sublists' {R} : ∀ {l : List α}, Pairwise R l → Pairwise (Lex (swap R)) (sublists' l) | _, Pairwise.nil => pairwise_singleton _ _ | _, @Pairwise.cons _ _ a l H₁ H₂ => by simp only [sublists'_cons, pairwise_append, pairwise_map, mem_sublists', mem_map, exists_imp, and_imp] refine ⟨H₂.sublists', H₂.sublists'.imp fun l₁ => Lex.cons l₁, ?_⟩ rintro l₁ sl₁ x l₂ _ rfl cases' l₁ with b l₁; · constructor exact Lex.rel (H₁ _ <| sl₁.subset <| mem_cons_self _ _) #align list.pairwise.sublists' List.Pairwise.sublists'
Mathlib/Data/List/Sublists.lean
372
375
theorem pairwise_sublists {R} {l : List α} (H : Pairwise R l) : Pairwise (fun l₁ l₂ => Lex R (reverse l₁) (reverse l₂)) (sublists l) := by
have := (pairwise_reverse.2 H).sublists' rwa [sublists'_reverse, pairwise_map] at this
import Mathlib.CategoryTheory.Extensive import Mathlib.CategoryTheory.Limits.Shapes.KernelPair #align_import category_theory.adhesive from "leanprover-community/mathlib"@"afff1f24a6b68d0077c9d63782a1d093e337758c" namespace CategoryTheory open Limits universe v' u' v u variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C] variable {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z} -- This only makes sense when the original diagram is a pushout. @[nolint unusedArguments] def IsPushout.IsVanKampen (_ : IsPushout f g h i) : Prop := ∀ ⦃W' X' Y' Z' : C⦄ (f' : W' ⟶ X') (g' : W' ⟶ Y') (h' : X' ⟶ Z') (i' : Y' ⟶ Z') (αW : W' ⟶ W) (αX : X' ⟶ X) (αY : Y' ⟶ Y) (αZ : Z' ⟶ Z) (_ : IsPullback f' αW αX f) (_ : IsPullback g' αW αY g) (_ : CommSq h' αX αZ h) (_ : CommSq i' αY αZ i) (_ : CommSq f' g' h' i'), IsPushout f' g' h' i' ↔ IsPullback h' αX αZ h ∧ IsPullback i' αY αZ i #align category_theory.is_pushout.is_van_kampen CategoryTheory.IsPushout.IsVanKampen theorem IsPushout.IsVanKampen.flip {H : IsPushout f g h i} (H' : H.IsVanKampen) : H.flip.IsVanKampen := by introv W' hf hg hh hi w simpa only [IsPushout.flip_iff, IsPullback.flip_iff, and_comm] using H' g' f' i' h' αW αY αX αZ hg hf hi hh w.flip #align category_theory.is_pushout.is_van_kampen.flip CategoryTheory.IsPushout.IsVanKampen.flip theorem IsPushout.isVanKampen_iff (H : IsPushout f g h i) : H.IsVanKampen ↔ IsVanKampenColimit (PushoutCocone.mk h i H.w) := by constructor · intro H F' c' α fα eα hα refine Iff.trans ?_ ((H (F'.map WalkingSpan.Hom.fst) (F'.map WalkingSpan.Hom.snd) (c'.ι.app _) (c'.ι.app _) (α.app _) (α.app _) (α.app _) fα (by convert hα WalkingSpan.Hom.fst) (by convert hα WalkingSpan.Hom.snd) ?_ ?_ ?_).trans ?_) · have : F'.map WalkingSpan.Hom.fst ≫ c'.ι.app WalkingSpan.left = F'.map WalkingSpan.Hom.snd ≫ c'.ι.app WalkingSpan.right := by simp only [Cocone.w] rw [(IsColimit.equivOfNatIsoOfIso (diagramIsoSpan F') c' (PushoutCocone.mk _ _ this) _).nonempty_congr] · exact ⟨fun h => ⟨⟨this⟩, h⟩, fun h => h.2⟩ · refine Cocones.ext (Iso.refl c'.pt) ?_ rintro (_ | _ | _) <;> dsimp <;> simp only [c'.w, Category.assoc, Category.id_comp, Category.comp_id] · exact ⟨NatTrans.congr_app eα.symm _⟩ · exact ⟨NatTrans.congr_app eα.symm _⟩ · exact ⟨by simp⟩ constructor · rintro ⟨h₁, h₂⟩ (_ | _ | _) · rw [← c'.w WalkingSpan.Hom.fst]; exact (hα WalkingSpan.Hom.fst).paste_horiz h₁ exacts [h₁, h₂] · intro h; exact ⟨h _, h _⟩ · introv H W' hf hg hh hi w refine Iff.trans ?_ ((H w.cocone ⟨by rintro (_ | _ | _); exacts [αW, αX, αY], ?_⟩ αZ ?_ ?_).trans ?_) rotate_left · rintro i _ (_ | _ | _) · dsimp; simp only [Functor.map_id, Category.comp_id, Category.id_comp] exacts [hf.w, hg.w] · ext (_ | _ | _) · dsimp; rw [PushoutCocone.condition_zero]; erw [Category.assoc, hh.w, hf.w_assoc] exacts [hh.w.symm, hi.w.symm] · rintro i _ (_ | _ | _) · dsimp; simp_rw [Functor.map_id] exact IsPullback.of_horiz_isIso ⟨by rw [Category.comp_id, Category.id_comp]⟩ exacts [hf, hg] · constructor · intro h; exact ⟨h WalkingCospan.left, h WalkingCospan.right⟩ · rintro ⟨h₁, h₂⟩ (_ | _ | _) · dsimp; rw [PushoutCocone.condition_zero]; exact hf.paste_horiz h₁ exacts [h₁, h₂] · exact ⟨fun h => h.2, fun h => ⟨w, h⟩⟩ #align category_theory.is_pushout.is_van_kampen_iff CategoryTheory.IsPushout.isVanKampen_iff theorem is_coprod_iff_isPushout {X E Y YE : C} (c : BinaryCofan X E) (hc : IsColimit c) {f : X ⟶ Y} {iY : Y ⟶ YE} {fE : c.pt ⟶ YE} (H : CommSq f c.inl iY fE) : Nonempty (IsColimit (BinaryCofan.mk (c.inr ≫ fE) iY)) ↔ IsPushout f c.inl iY fE := by constructor · rintro ⟨h⟩ refine ⟨H, ⟨Limits.PushoutCocone.isColimitAux' _ ?_⟩⟩ intro s dsimp only [PushoutCocone.inr, PushoutCocone.mk] -- Porting note: Originally `dsimp` refine ⟨h.desc (BinaryCofan.mk (c.inr ≫ s.inr) s.inl), h.fac _ ⟨WalkingPair.right⟩, ?_, ?_⟩ · apply BinaryCofan.IsColimit.hom_ext hc · rw [← H.w_assoc]; erw [h.fac _ ⟨WalkingPair.right⟩]; exact s.condition · rw [← Category.assoc]; exact h.fac _ ⟨WalkingPair.left⟩ · intro m e₁ e₂ apply BinaryCofan.IsColimit.hom_ext h · dsimp only [BinaryCofan.mk, id] -- Porting note: Originally `dsimp` rw [Category.assoc, e₂, eq_comm]; exact h.fac _ ⟨WalkingPair.left⟩ · refine e₁.trans (Eq.symm ?_); exact h.fac _ _ · refine fun H => ⟨?_⟩ fapply Limits.BinaryCofan.isColimitMk · exact fun s => H.isColimit.desc (PushoutCocone.mk s.inr _ <| (hc.fac (BinaryCofan.mk (f ≫ s.inr) s.inl) ⟨WalkingPair.left⟩).symm) · intro s erw [Category.assoc, H.isColimit.fac _ WalkingSpan.right, hc.fac]; rfl · intro s; exact H.isColimit.fac _ WalkingSpan.left · intro s m e₁ e₂ apply PushoutCocone.IsColimit.hom_ext H.isColimit · symm; exact (H.isColimit.fac _ WalkingSpan.left).trans e₂.symm · erw [H.isColimit.fac _ WalkingSpan.right] apply BinaryCofan.IsColimit.hom_ext hc · erw [hc.fac, ← H.w_assoc, e₂]; rfl · refine ((Category.assoc _ _ _).symm.trans e₁).trans ?_; symm; exact hc.fac _ _ #align category_theory.is_coprod_iff_is_pushout CategoryTheory.is_coprod_iff_isPushout theorem IsPushout.isVanKampen_inl {W E X Z : C} (c : BinaryCofan W E) [FinitaryExtensive C] [HasPullbacks C] (hc : IsColimit c) (f : W ⟶ X) (h : X ⟶ Z) (i : c.pt ⟶ Z) (H : IsPushout f c.inl h i) : H.IsVanKampen := by obtain ⟨hc₁⟩ := (is_coprod_iff_isPushout c hc H.1).mpr H introv W' hf hg hh hi w obtain ⟨hc₂⟩ := ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen c hc) (BinaryCofan.mk _ pullback.fst) _ _ _ hg.w.symm pullback.condition.symm).mpr ⟨hg, IsPullback.of_hasPullback αY c.inr⟩ refine (is_coprod_iff_isPushout _ hc₂ w).symm.trans ?_ refine ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen _ hc₁) (BinaryCofan.mk _ _) pullback.snd _ _ ?_ hh.w.symm).trans ?_ · dsimp; rw [← pullback.condition_assoc, Category.assoc, hi.w] constructor · rintro ⟨hc₃, hc₄⟩ refine ⟨hc₄, ?_⟩ let Y'' := pullback αZ i let cmp : Y' ⟶ Y'' := pullback.lift i' αY hi.w have e₁ : (g' ≫ cmp) ≫ pullback.snd = αW ≫ c.inl := by rw [Category.assoc, pullback.lift_snd, hg.w] have e₂ : (pullback.fst ≫ cmp : pullback αY c.inr ⟶ _) ≫ pullback.snd = pullback.snd ≫ c.inr := by rw [Category.assoc, pullback.lift_snd, pullback.condition] obtain ⟨hc₄⟩ := ((BinaryCofan.isVanKampen_iff _).mp (FinitaryExtensive.vanKampen c hc) (BinaryCofan.mk _ _) αW _ _ e₁.symm e₂.symm).mpr <| by constructor · apply IsPullback.of_right _ e₁ (IsPullback.of_hasPullback _ _) rw [Category.assoc, pullback.lift_fst, ← H.w, ← w.w]; exact hf.paste_horiz hc₄ · apply IsPullback.of_right _ e₂ (IsPullback.of_hasPullback _ _) rw [Category.assoc, pullback.lift_fst]; exact hc₃ rw [← Category.id_comp αZ, ← show cmp ≫ pullback.snd = αY from pullback.lift_snd _ _ _] apply IsPullback.paste_vert _ (IsPullback.of_hasPullback αZ i) have : cmp = (hc₂.coconePointUniqueUpToIso hc₄).hom := by apply BinaryCofan.IsColimit.hom_ext hc₂ exacts [(hc₂.comp_coconePointUniqueUpToIso_hom hc₄ ⟨WalkingPair.left⟩).symm, (hc₂.comp_coconePointUniqueUpToIso_hom hc₄ ⟨WalkingPair.right⟩).symm] rw [this] exact IsPullback.of_vert_isIso ⟨by rw [← this, Category.comp_id, pullback.lift_fst]⟩ · rintro ⟨hc₃, hc₄⟩ exact ⟨(IsPullback.of_hasPullback αY c.inr).paste_horiz hc₄, hc₃⟩ #align category_theory.is_pushout.is_van_kampen_inl CategoryTheory.IsPushout.isVanKampen_inl theorem IsPushout.IsVanKampen.isPullback_of_mono_left [Mono f] {H : IsPushout f g h i} (H' : H.IsVanKampen) : IsPullback f g h i := ((H' (𝟙 _) g g (𝟙 Y) (𝟙 _) f (𝟙 _) i (IsKernelPair.id_of_mono f) (IsPullback.of_vert_isIso ⟨by simp⟩) H.1.flip ⟨rfl⟩ ⟨by simp⟩).mp (IsPushout.of_horiz_isIso ⟨by simp⟩)).1.flip #align category_theory.is_pushout.is_van_kampen.is_pullback_of_mono_left CategoryTheory.IsPushout.IsVanKampen.isPullback_of_mono_left theorem IsPushout.IsVanKampen.isPullback_of_mono_right [Mono g] {H : IsPushout f g h i} (H' : H.IsVanKampen) : IsPullback f g h i := ((H' f (𝟙 _) (𝟙 _) f (𝟙 _) (𝟙 _) g h (IsPullback.of_vert_isIso ⟨by simp⟩) (IsKernelPair.id_of_mono g) ⟨rfl⟩ H.1 ⟨by simp⟩).mp (IsPushout.of_vert_isIso ⟨by simp⟩)).2 #align category_theory.is_pushout.is_van_kampen.is_pullback_of_mono_right CategoryTheory.IsPushout.IsVanKampen.isPullback_of_mono_right theorem IsPushout.IsVanKampen.mono_of_mono_left [Mono f] {H : IsPushout f g h i} (H' : H.IsVanKampen) : Mono i := IsKernelPair.mono_of_isIso_fst ((H' (𝟙 _) g g (𝟙 Y) (𝟙 _) f (𝟙 _) i (IsKernelPair.id_of_mono f) (IsPullback.of_vert_isIso ⟨by simp⟩) H.1.flip ⟨rfl⟩ ⟨by simp⟩).mp (IsPushout.of_horiz_isIso ⟨by simp⟩)).2 #align category_theory.is_pushout.is_van_kampen.mono_of_mono_left CategoryTheory.IsPushout.IsVanKampen.mono_of_mono_left theorem IsPushout.IsVanKampen.mono_of_mono_right [Mono g] {H : IsPushout f g h i} (H' : H.IsVanKampen) : Mono h := IsKernelPair.mono_of_isIso_fst ((H' f (𝟙 _) (𝟙 _) f (𝟙 _) (𝟙 _) g h (IsPullback.of_vert_isIso ⟨by simp⟩) (IsKernelPair.id_of_mono g) ⟨rfl⟩ H.1 ⟨by simp⟩).mp (IsPushout.of_vert_isIso ⟨by simp⟩)).1 #align category_theory.is_pushout.is_van_kampen.mono_of_mono_right CategoryTheory.IsPushout.IsVanKampen.mono_of_mono_right class Adhesive (C : Type u) [Category.{v} C] : Prop where [hasPullback_of_mono_left : ∀ {X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [Mono f], HasPullback f g] [hasPushout_of_mono_left : ∀ {X Y S : C} (f : S ⟶ X) (g : S ⟶ Y) [Mono f], HasPushout f g] van_kampen : ∀ {W X Y Z : C} {f : W ⟶ X} {g : W ⟶ Y} {h : X ⟶ Z} {i : Y ⟶ Z} [Mono f] (H : IsPushout f g h i), H.IsVanKampen #align category_theory.adhesive CategoryTheory.Adhesive attribute [instance] Adhesive.hasPullback_of_mono_left Adhesive.hasPushout_of_mono_left theorem Adhesive.van_kampen' [Adhesive C] [Mono g] (H : IsPushout f g h i) : H.IsVanKampen := (Adhesive.van_kampen H.flip).flip #align category_theory.adhesive.van_kampen' CategoryTheory.Adhesive.van_kampen' theorem Adhesive.isPullback_of_isPushout_of_mono_left [Adhesive C] (H : IsPushout f g h i) [Mono f] : IsPullback f g h i := (Adhesive.van_kampen H).isPullback_of_mono_left #align category_theory.adhesive.is_pullback_of_is_pushout_of_mono_left CategoryTheory.Adhesive.isPullback_of_isPushout_of_mono_left theorem Adhesive.isPullback_of_isPushout_of_mono_right [Adhesive C] (H : IsPushout f g h i) [Mono g] : IsPullback f g h i := (Adhesive.van_kampen' H).isPullback_of_mono_right #align category_theory.adhesive.is_pullback_of_is_pushout_of_mono_right CategoryTheory.Adhesive.isPullback_of_isPushout_of_mono_right theorem Adhesive.mono_of_isPushout_of_mono_left [Adhesive C] (H : IsPushout f g h i) [Mono f] : Mono i := (Adhesive.van_kampen H).mono_of_mono_left #align category_theory.adhesive.mono_of_is_pushout_of_mono_left CategoryTheory.Adhesive.mono_of_isPushout_of_mono_left theorem Adhesive.mono_of_isPushout_of_mono_right [Adhesive C] (H : IsPushout f g h i) [Mono g] : Mono h := (Adhesive.van_kampen' H).mono_of_mono_right #align category_theory.adhesive.mono_of_is_pushout_of_mono_right CategoryTheory.Adhesive.mono_of_isPushout_of_mono_right instance Type.adhesive : Adhesive (Type u) := ⟨fun {_ _ _ _ f _ _ _ _} H => (IsPushout.isVanKampen_inl _ (Types.isCoprodOfMono f) _ _ _ H.flip).flip⟩ #align category_theory.type.adhesive CategoryTheory.Type.adhesive noncomputable instance (priority := 100) Adhesive.toRegularMonoCategory [Adhesive C] : RegularMonoCategory C := ⟨fun f _ => { Z := pushout f f left := pushout.inl right := pushout.inr w := pushout.condition isLimit := (Adhesive.isPullback_of_isPushout_of_mono_left (IsPushout.of_hasPushout f f)).isLimitFork }⟩ #align category_theory.adhesive.to_regular_mono_category CategoryTheory.Adhesive.toRegularMonoCategory -- This then implies that adhesive categories are balanced example [Adhesive C] : Balanced C := inferInstance section functor universe v'' u'' variable {D : Type u''} [Category.{v''} D] instance adhesive_functor [Adhesive C] [HasPullbacks C] [HasPushouts C] : Adhesive (D ⥤ C) := by constructor intros W X Y Z f g h i hf H rw [IsPushout.isVanKampen_iff] apply isVanKampenColimit_of_evaluation intro x refine (IsVanKampenColimit.precompose_isIso_iff (diagramIsoSpan _).inv).mp ?_ refine IsVanKampenColimit.of_iso ?_ (PushoutCocone.isoMk _).symm refine (IsPushout.isVanKampen_iff (H.map ((evaluation _ _).obj x))).mp ?_ apply Adhesive.van_kampen
Mathlib/CategoryTheory/Adhesive.lean
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theorem adhesive_of_preserves_and_reflects (F : C ⥤ D) [Adhesive D] [H₁ : ∀ {X Y S : C} (f : X ⟶ S) (g : Y ⟶ S) [Mono f], HasPullback f g] [H₂ : ∀ {X Y S : C} (f : S ⟶ X) (g : S ⟶ Y) [Mono f], HasPushout f g] [PreservesLimitsOfShape WalkingCospan F] [ReflectsLimitsOfShape WalkingCospan F] [PreservesColimitsOfShape WalkingSpan F] [ReflectsColimitsOfShape WalkingSpan F] : Adhesive C := by
apply Adhesive.mk (hasPullback_of_mono_left := H₁) (hasPushout_of_mono_left := H₂) intros W X Y Z f g h i hf H rw [IsPushout.isVanKampen_iff] refine IsVanKampenColimit.of_mapCocone F ?_ refine (IsVanKampenColimit.precompose_isIso_iff (diagramIsoSpan _).inv).mp ?_ refine IsVanKampenColimit.of_iso ?_ (PushoutCocone.isoMk _).symm refine (IsPushout.isVanKampen_iff (H.map F)).mp ?_ apply Adhesive.van_kampen
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal import Mathlib.Topology.Category.TopCat.Basic import Mathlib.Topology.Sets.Opens import Mathlib.Data.Set.Subsingleton #align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite variable {R A : Type*} variable [CommSemiring R] [CommRing A] [Algebra R A] variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜] -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure ProjectiveSpectrum where asHomogeneousIdeal : HomogeneousIdeal 𝒜 isPrime : asHomogeneousIdeal.toIdeal.IsPrime not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal #align projective_spectrum ProjectiveSpectrum attribute [instance] ProjectiveSpectrum.isPrime namespace ProjectiveSpectrum def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) := { x | s ⊆ x.asHomogeneousIdeal } #align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus @[simp] theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) : x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal := Iff.rfl #align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus @[simp] theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by ext x exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal #align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span variable {𝒜} def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 := ⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal #align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : (vanishingIdeal t : Set A) = { f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by ext f rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf] refine forall_congr' fun x => ?_ rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff] #align projective_spectrum.coe_vanishing_ideal ProjectiveSpectrum.coe_vanishingIdeal theorem mem_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (f : A) : f ∈ vanishingIdeal t ↔ ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal := by rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq] #align projective_spectrum.mem_vanishing_ideal ProjectiveSpectrum.mem_vanishingIdeal @[simp] theorem vanishingIdeal_singleton (x : ProjectiveSpectrum 𝒜) : vanishingIdeal ({x} : Set (ProjectiveSpectrum 𝒜)) = x.asHomogeneousIdeal := by simp [vanishingIdeal] #align projective_spectrum.vanishing_ideal_singleton ProjectiveSpectrum.vanishingIdeal_singleton theorem subset_zeroLocus_iff_le_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (I : Ideal A) : t ⊆ zeroLocus 𝒜 I ↔ I ≤ (vanishingIdeal t).toIdeal := ⟨fun h _ k => (mem_vanishingIdeal _ _).mpr fun _ j => (mem_zeroLocus _ _ _).mpr (h j) k, fun h => fun x j => (mem_zeroLocus _ _ _).mpr (le_trans h fun _ h => ((mem_vanishingIdeal _ _).mp h) x j)⟩ #align projective_spectrum.subset_zero_locus_iff_le_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_iff_le_vanishingIdeal variable (𝒜) theorem gc_ideal : @GaloisConnection (Ideal A) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _ (fun I => zeroLocus 𝒜 I) fun t => (vanishingIdeal t).toIdeal := fun I t => subset_zeroLocus_iff_le_vanishingIdeal t I #align projective_spectrum.gc_ideal ProjectiveSpectrum.gc_ideal theorem gc_set : @GaloisConnection (Set A) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _ (fun s => zeroLocus 𝒜 s) fun t => vanishingIdeal t := by have ideal_gc : GaloisConnection Ideal.span _ := (Submodule.gi A _).gc simpa [zeroLocus_span, Function.comp] using GaloisConnection.compose ideal_gc (gc_ideal 𝒜) #align projective_spectrum.gc_set ProjectiveSpectrum.gc_set theorem gc_homogeneousIdeal : @GaloisConnection (HomogeneousIdeal 𝒜) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _ (fun I => zeroLocus 𝒜 I) fun t => vanishingIdeal t := fun I t => by simpa [show I.toIdeal ≤ (vanishingIdeal t).toIdeal ↔ I ≤ vanishingIdeal t from Iff.rfl] using subset_zeroLocus_iff_le_vanishingIdeal t I.toIdeal #align projective_spectrum.gc_homogeneous_ideal ProjectiveSpectrum.gc_homogeneousIdeal theorem subset_zeroLocus_iff_subset_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (s : Set A) : t ⊆ zeroLocus 𝒜 s ↔ s ⊆ vanishingIdeal t := (gc_set _) s t #align projective_spectrum.subset_zero_locus_iff_subset_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_iff_subset_vanishingIdeal theorem subset_vanishingIdeal_zeroLocus (s : Set A) : s ⊆ vanishingIdeal (zeroLocus 𝒜 s) := (gc_set _).le_u_l s #align projective_spectrum.subset_vanishing_ideal_zero_locus ProjectiveSpectrum.subset_vanishingIdeal_zeroLocus theorem ideal_le_vanishingIdeal_zeroLocus (I : Ideal A) : I ≤ (vanishingIdeal (zeroLocus 𝒜 I)).toIdeal := (gc_ideal _).le_u_l I #align projective_spectrum.ideal_le_vanishing_ideal_zero_locus ProjectiveSpectrum.ideal_le_vanishingIdeal_zeroLocus theorem homogeneousIdeal_le_vanishingIdeal_zeroLocus (I : HomogeneousIdeal 𝒜) : I ≤ vanishingIdeal (zeroLocus 𝒜 I) := (gc_homogeneousIdeal _).le_u_l I #align projective_spectrum.homogeneous_ideal_le_vanishing_ideal_zero_locus ProjectiveSpectrum.homogeneousIdeal_le_vanishingIdeal_zeroLocus theorem subset_zeroLocus_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : t ⊆ zeroLocus 𝒜 (vanishingIdeal t) := (gc_ideal _).l_u_le t #align projective_spectrum.subset_zero_locus_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_vanishingIdeal theorem zeroLocus_anti_mono {s t : Set A} (h : s ⊆ t) : zeroLocus 𝒜 t ⊆ zeroLocus 𝒜 s := (gc_set _).monotone_l h #align projective_spectrum.zero_locus_anti_mono ProjectiveSpectrum.zeroLocus_anti_mono theorem zeroLocus_anti_mono_ideal {s t : Ideal A} (h : s ≤ t) : zeroLocus 𝒜 (t : Set A) ⊆ zeroLocus 𝒜 (s : Set A) := (gc_ideal _).monotone_l h #align projective_spectrum.zero_locus_anti_mono_ideal ProjectiveSpectrum.zeroLocus_anti_mono_ideal theorem zeroLocus_anti_mono_homogeneousIdeal {s t : HomogeneousIdeal 𝒜} (h : s ≤ t) : zeroLocus 𝒜 (t : Set A) ⊆ zeroLocus 𝒜 (s : Set A) := (gc_homogeneousIdeal _).monotone_l h #align projective_spectrum.zero_locus_anti_mono_homogeneous_ideal ProjectiveSpectrum.zeroLocus_anti_mono_homogeneousIdeal theorem vanishingIdeal_anti_mono {s t : Set (ProjectiveSpectrum 𝒜)} (h : s ⊆ t) : vanishingIdeal t ≤ vanishingIdeal s := (gc_ideal _).monotone_u h #align projective_spectrum.vanishing_ideal_anti_mono ProjectiveSpectrum.vanishingIdeal_anti_mono theorem zeroLocus_bot : zeroLocus 𝒜 ((⊥ : Ideal A) : Set A) = Set.univ := (gc_ideal 𝒜).l_bot #align projective_spectrum.zero_locus_bot ProjectiveSpectrum.zeroLocus_bot @[simp] theorem zeroLocus_singleton_zero : zeroLocus 𝒜 ({0} : Set A) = Set.univ := zeroLocus_bot _ #align projective_spectrum.zero_locus_singleton_zero ProjectiveSpectrum.zeroLocus_singleton_zero @[simp] theorem zeroLocus_empty : zeroLocus 𝒜 (∅ : Set A) = Set.univ := (gc_set 𝒜).l_bot #align projective_spectrum.zero_locus_empty ProjectiveSpectrum.zeroLocus_empty @[simp] theorem vanishingIdeal_univ : vanishingIdeal (∅ : Set (ProjectiveSpectrum 𝒜)) = ⊤ := by simpa using (gc_ideal _).u_top #align projective_spectrum.vanishing_ideal_univ ProjectiveSpectrum.vanishingIdeal_univ theorem zeroLocus_empty_of_one_mem {s : Set A} (h : (1 : A) ∈ s) : zeroLocus 𝒜 s = ∅ := Set.eq_empty_iff_forall_not_mem.mpr fun x hx => (inferInstance : x.asHomogeneousIdeal.toIdeal.IsPrime).ne_top <| x.asHomogeneousIdeal.toIdeal.eq_top_iff_one.mpr <| hx h #align projective_spectrum.zero_locus_empty_of_one_mem ProjectiveSpectrum.zeroLocus_empty_of_one_mem @[simp] theorem zeroLocus_singleton_one : zeroLocus 𝒜 ({1} : Set A) = ∅ := zeroLocus_empty_of_one_mem 𝒜 (Set.mem_singleton (1 : A)) #align projective_spectrum.zero_locus_singleton_one ProjectiveSpectrum.zeroLocus_singleton_one @[simp] theorem zeroLocus_univ : zeroLocus 𝒜 (Set.univ : Set A) = ∅ := zeroLocus_empty_of_one_mem _ (Set.mem_univ 1) #align projective_spectrum.zero_locus_univ ProjectiveSpectrum.zeroLocus_univ theorem zeroLocus_sup_ideal (I J : Ideal A) : zeroLocus 𝒜 ((I ⊔ J : Ideal A) : Set A) = zeroLocus _ I ∩ zeroLocus _ J := (gc_ideal 𝒜).l_sup #align projective_spectrum.zero_locus_sup_ideal ProjectiveSpectrum.zeroLocus_sup_ideal theorem zeroLocus_sup_homogeneousIdeal (I J : HomogeneousIdeal 𝒜) : zeroLocus 𝒜 ((I ⊔ J : HomogeneousIdeal 𝒜) : Set A) = zeroLocus _ I ∩ zeroLocus _ J := (gc_homogeneousIdeal 𝒜).l_sup #align projective_spectrum.zero_locus_sup_homogeneous_ideal ProjectiveSpectrum.zeroLocus_sup_homogeneousIdeal theorem zeroLocus_union (s s' : Set A) : zeroLocus 𝒜 (s ∪ s') = zeroLocus _ s ∩ zeroLocus _ s' := (gc_set 𝒜).l_sup #align projective_spectrum.zero_locus_union ProjectiveSpectrum.zeroLocus_union theorem vanishingIdeal_union (t t' : Set (ProjectiveSpectrum 𝒜)) : vanishingIdeal (t ∪ t') = vanishingIdeal t ⊓ vanishingIdeal t' := by ext1; exact (gc_ideal 𝒜).u_inf #align projective_spectrum.vanishing_ideal_union ProjectiveSpectrum.vanishingIdeal_union theorem zeroLocus_iSup_ideal {γ : Sort*} (I : γ → Ideal A) : zeroLocus _ ((⨆ i, I i : Ideal A) : Set A) = ⋂ i, zeroLocus 𝒜 (I i) := (gc_ideal 𝒜).l_iSup #align projective_spectrum.zero_locus_supr_ideal ProjectiveSpectrum.zeroLocus_iSup_ideal theorem zeroLocus_iSup_homogeneousIdeal {γ : Sort*} (I : γ → HomogeneousIdeal 𝒜) : zeroLocus _ ((⨆ i, I i : HomogeneousIdeal 𝒜) : Set A) = ⋂ i, zeroLocus 𝒜 (I i) := (gc_homogeneousIdeal 𝒜).l_iSup #align projective_spectrum.zero_locus_supr_homogeneous_ideal ProjectiveSpectrum.zeroLocus_iSup_homogeneousIdeal theorem zeroLocus_iUnion {γ : Sort*} (s : γ → Set A) : zeroLocus 𝒜 (⋃ i, s i) = ⋂ i, zeroLocus 𝒜 (s i) := (gc_set 𝒜).l_iSup #align projective_spectrum.zero_locus_Union ProjectiveSpectrum.zeroLocus_iUnion theorem zeroLocus_bUnion (s : Set (Set A)) : zeroLocus 𝒜 (⋃ s' ∈ s, s' : Set A) = ⋂ s' ∈ s, zeroLocus 𝒜 s' := by simp only [zeroLocus_iUnion] #align projective_spectrum.zero_locus_bUnion ProjectiveSpectrum.zeroLocus_bUnion theorem vanishingIdeal_iUnion {γ : Sort*} (t : γ → Set (ProjectiveSpectrum 𝒜)) : vanishingIdeal (⋃ i, t i) = ⨅ i, vanishingIdeal (t i) := HomogeneousIdeal.toIdeal_injective <| by convert (gc_ideal 𝒜).u_iInf; exact HomogeneousIdeal.toIdeal_iInf _ #align projective_spectrum.vanishing_ideal_Union ProjectiveSpectrum.vanishingIdeal_iUnion theorem zeroLocus_inf (I J : Ideal A) : zeroLocus 𝒜 ((I ⊓ J : Ideal A) : Set A) = zeroLocus 𝒜 I ∪ zeroLocus 𝒜 J := Set.ext fun x => x.isPrime.inf_le #align projective_spectrum.zero_locus_inf ProjectiveSpectrum.zeroLocus_inf
Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean
280
283
theorem union_zeroLocus (s s' : Set A) : zeroLocus 𝒜 s ∪ zeroLocus 𝒜 s' = zeroLocus 𝒜 (Ideal.span s ⊓ Ideal.span s' : Ideal A) := by
rw [zeroLocus_inf] simp
import Mathlib.Tactic.FinCases import Mathlib.Data.Nat.Choose.Sum import Mathlib.LinearAlgebra.Finsupp import Mathlib.Algebra.Field.IsField #align_import ring_theory.ideal.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe u v w variable {α : Type u} {β : Type v} open Set Function open Pointwise abbrev Ideal (R : Type u) [Semiring R] := Submodule R R #align ideal Ideal @[mk_iff] class IsPrincipalIdealRing (R : Type u) [Semiring R] : Prop where principal : ∀ S : Ideal R, S.IsPrincipal #align is_principal_ideal_ring IsPrincipalIdealRing attribute [instance] IsPrincipalIdealRing.principal section Semiring namespace Ideal variable [Semiring α] (I : Ideal α) {a b : α} protected theorem zero_mem : (0 : α) ∈ I := Submodule.zero_mem I #align ideal.zero_mem Ideal.zero_mem protected theorem add_mem : a ∈ I → b ∈ I → a + b ∈ I := Submodule.add_mem I #align ideal.add_mem Ideal.add_mem variable (a) theorem mul_mem_left : b ∈ I → a * b ∈ I := Submodule.smul_mem I a #align ideal.mul_mem_left Ideal.mul_mem_left variable {a} @[ext] theorem ext {I J : Ideal α} (h : ∀ x, x ∈ I ↔ x ∈ J) : I = J := Submodule.ext h #align ideal.ext Ideal.ext theorem sum_mem (I : Ideal α) {ι : Type*} {t : Finset ι} {f : ι → α} : (∀ c ∈ t, f c ∈ I) → (∑ i ∈ t, f i) ∈ I := Submodule.sum_mem I #align ideal.sum_mem Ideal.sum_mem theorem eq_top_of_unit_mem (x y : α) (hx : x ∈ I) (h : y * x = 1) : I = ⊤ := eq_top_iff.2 fun z _ => calc z = z * (y * x) := by simp [h] _ = z * y * x := Eq.symm <| mul_assoc z y x _ ∈ I := I.mul_mem_left _ hx #align ideal.eq_top_of_unit_mem Ideal.eq_top_of_unit_mem theorem eq_top_of_isUnit_mem {x} (hx : x ∈ I) (h : IsUnit x) : I = ⊤ := let ⟨y, hy⟩ := h.exists_left_inv eq_top_of_unit_mem I x y hx hy #align ideal.eq_top_of_is_unit_mem Ideal.eq_top_of_isUnit_mem theorem eq_top_iff_one : I = ⊤ ↔ (1 : α) ∈ I := ⟨by rintro rfl; trivial, fun h => eq_top_of_unit_mem _ _ 1 h (by simp)⟩ #align ideal.eq_top_iff_one Ideal.eq_top_iff_one theorem ne_top_iff_one : I ≠ ⊤ ↔ (1 : α) ∉ I := not_congr I.eq_top_iff_one #align ideal.ne_top_iff_one Ideal.ne_top_iff_one @[simp] theorem unit_mul_mem_iff_mem {x y : α} (hy : IsUnit y) : y * x ∈ I ↔ x ∈ I := by refine ⟨fun h => ?_, fun h => I.mul_mem_left y h⟩ obtain ⟨y', hy'⟩ := hy.exists_left_inv have := I.mul_mem_left y' h rwa [← mul_assoc, hy', one_mul] at this #align ideal.unit_mul_mem_iff_mem Ideal.unit_mul_mem_iff_mem def span (s : Set α) : Ideal α := Submodule.span α s #align ideal.span Ideal.span @[simp] theorem submodule_span_eq {s : Set α} : Submodule.span α s = Ideal.span s := rfl #align ideal.submodule_span_eq Ideal.submodule_span_eq @[simp] theorem span_empty : span (∅ : Set α) = ⊥ := Submodule.span_empty #align ideal.span_empty Ideal.span_empty @[simp] theorem span_univ : span (Set.univ : Set α) = ⊤ := Submodule.span_univ #align ideal.span_univ Ideal.span_univ theorem span_union (s t : Set α) : span (s ∪ t) = span s ⊔ span t := Submodule.span_union _ _ #align ideal.span_union Ideal.span_union theorem span_iUnion {ι} (s : ι → Set α) : span (⋃ i, s i) = ⨆ i, span (s i) := Submodule.span_iUnion _ #align ideal.span_Union Ideal.span_iUnion theorem mem_span {s : Set α} (x) : x ∈ span s ↔ ∀ p : Ideal α, s ⊆ p → x ∈ p := mem_iInter₂ #align ideal.mem_span Ideal.mem_span theorem subset_span {s : Set α} : s ⊆ span s := Submodule.subset_span #align ideal.subset_span Ideal.subset_span theorem span_le {s : Set α} {I} : span s ≤ I ↔ s ⊆ I := Submodule.span_le #align ideal.span_le Ideal.span_le theorem span_mono {s t : Set α} : s ⊆ t → span s ≤ span t := Submodule.span_mono #align ideal.span_mono Ideal.span_mono @[simp] theorem span_eq : span (I : Set α) = I := Submodule.span_eq _ #align ideal.span_eq Ideal.span_eq @[simp] theorem span_singleton_one : span ({1} : Set α) = ⊤ := (eq_top_iff_one _).2 <| subset_span <| mem_singleton _ #align ideal.span_singleton_one Ideal.span_singleton_one theorem isCompactElement_top : CompleteLattice.IsCompactElement (⊤ : Ideal α) := by simpa only [← span_singleton_one] using Submodule.singleton_span_isCompactElement 1 theorem mem_span_insert {s : Set α} {x y} : x ∈ span (insert y s) ↔ ∃ a, ∃ z ∈ span s, x = a * y + z := Submodule.mem_span_insert #align ideal.mem_span_insert Ideal.mem_span_insert theorem mem_span_singleton' {x y : α} : x ∈ span ({y} : Set α) ↔ ∃ a, a * y = x := Submodule.mem_span_singleton #align ideal.mem_span_singleton' Ideal.mem_span_singleton' theorem span_singleton_le_iff_mem {x : α} : span {x} ≤ I ↔ x ∈ I := Submodule.span_singleton_le_iff_mem _ _ #align ideal.span_singleton_le_iff_mem Ideal.span_singleton_le_iff_mem theorem span_singleton_mul_left_unit {a : α} (h2 : IsUnit a) (x : α) : span ({a * x} : Set α) = span {x} := by apply le_antisymm <;> rw [span_singleton_le_iff_mem, mem_span_singleton'] exacts [⟨a, rfl⟩, ⟨_, h2.unit.inv_mul_cancel_left x⟩] #align ideal.span_singleton_mul_left_unit Ideal.span_singleton_mul_left_unit theorem span_insert (x) (s : Set α) : span (insert x s) = span ({x} : Set α) ⊔ span s := Submodule.span_insert x s #align ideal.span_insert Ideal.span_insert theorem span_eq_bot {s : Set α} : span s = ⊥ ↔ ∀ x ∈ s, (x : α) = 0 := Submodule.span_eq_bot #align ideal.span_eq_bot Ideal.span_eq_bot @[simp] theorem span_singleton_eq_bot {x} : span ({x} : Set α) = ⊥ ↔ x = 0 := Submodule.span_singleton_eq_bot #align ideal.span_singleton_eq_bot Ideal.span_singleton_eq_bot theorem span_singleton_ne_top {α : Type*} [CommSemiring α] {x : α} (hx : ¬IsUnit x) : Ideal.span ({x} : Set α) ≠ ⊤ := (Ideal.ne_top_iff_one _).mpr fun h1 => let ⟨y, hy⟩ := Ideal.mem_span_singleton'.mp h1 hx ⟨⟨x, y, mul_comm y x ▸ hy, hy⟩, rfl⟩ #align ideal.span_singleton_ne_top Ideal.span_singleton_ne_top @[simp] theorem span_zero : span (0 : Set α) = ⊥ := by rw [← Set.singleton_zero, span_singleton_eq_bot] #align ideal.span_zero Ideal.span_zero @[simp] theorem span_one : span (1 : Set α) = ⊤ := by rw [← Set.singleton_one, span_singleton_one] #align ideal.span_one Ideal.span_one theorem span_eq_top_iff_finite (s : Set α) : span s = ⊤ ↔ ∃ s' : Finset α, ↑s' ⊆ s ∧ span (s' : Set α) = ⊤ := by simp_rw [eq_top_iff_one] exact ⟨Submodule.mem_span_finite_of_mem_span, fun ⟨s', h₁, h₂⟩ => span_mono h₁ h₂⟩ #align ideal.span_eq_top_iff_finite Ideal.span_eq_top_iff_finite theorem mem_span_singleton_sup {S : Type*} [CommSemiring S] {x y : S} {I : Ideal S} : x ∈ Ideal.span {y} ⊔ I ↔ ∃ a : S, ∃ b ∈ I, a * y + b = x := by rw [Submodule.mem_sup] constructor · rintro ⟨ya, hya, b, hb, rfl⟩ obtain ⟨a, rfl⟩ := mem_span_singleton'.mp hya exact ⟨a, b, hb, rfl⟩ · rintro ⟨a, b, hb, rfl⟩ exact ⟨a * y, Ideal.mem_span_singleton'.mpr ⟨a, rfl⟩, b, hb, rfl⟩ #align ideal.mem_span_singleton_sup Ideal.mem_span_singleton_sup def ofRel (r : α → α → Prop) : Ideal α := Submodule.span α { x | ∃ a b, r a b ∧ x + b = a } #align ideal.of_rel Ideal.ofRel class IsPrime (I : Ideal α) : Prop where ne_top' : I ≠ ⊤ mem_or_mem' : ∀ {x y : α}, x * y ∈ I → x ∈ I ∨ y ∈ I #align ideal.is_prime Ideal.IsPrime theorem isPrime_iff {I : Ideal α} : IsPrime I ↔ I ≠ ⊤ ∧ ∀ {x y : α}, x * y ∈ I → x ∈ I ∨ y ∈ I := ⟨fun h => ⟨h.1, h.2⟩, fun h => ⟨h.1, h.2⟩⟩ #align ideal.is_prime_iff Ideal.isPrime_iff theorem IsPrime.ne_top {I : Ideal α} (hI : I.IsPrime) : I ≠ ⊤ := hI.1 #align ideal.is_prime.ne_top Ideal.IsPrime.ne_top theorem IsPrime.mem_or_mem {I : Ideal α} (hI : I.IsPrime) {x y : α} : x * y ∈ I → x ∈ I ∨ y ∈ I := hI.2 #align ideal.is_prime.mem_or_mem Ideal.IsPrime.mem_or_mem theorem IsPrime.mem_or_mem_of_mul_eq_zero {I : Ideal α} (hI : I.IsPrime) {x y : α} (h : x * y = 0) : x ∈ I ∨ y ∈ I := hI.mem_or_mem (h.symm ▸ I.zero_mem) #align ideal.is_prime.mem_or_mem_of_mul_eq_zero Ideal.IsPrime.mem_or_mem_of_mul_eq_zero theorem IsPrime.mem_of_pow_mem {I : Ideal α} (hI : I.IsPrime) {r : α} (n : ℕ) (H : r ^ n ∈ I) : r ∈ I := by induction' n with n ih · rw [pow_zero] at H exact (mt (eq_top_iff_one _).2 hI.1).elim H · rw [pow_succ] at H exact Or.casesOn (hI.mem_or_mem H) ih id #align ideal.is_prime.mem_of_pow_mem Ideal.IsPrime.mem_of_pow_mem theorem not_isPrime_iff {I : Ideal α} : ¬I.IsPrime ↔ I = ⊤ ∨ ∃ (x : α) (_hx : x ∉ I) (y : α) (_hy : y ∉ I), x * y ∈ I := by simp_rw [Ideal.isPrime_iff, not_and_or, Ne, Classical.not_not, not_forall, not_or] exact or_congr Iff.rfl ⟨fun ⟨x, y, hxy, hx, hy⟩ => ⟨x, hx, y, hy, hxy⟩, fun ⟨x, hx, y, hy, hxy⟩ => ⟨x, y, hxy, hx, hy⟩⟩ #align ideal.not_is_prime_iff Ideal.not_isPrime_iff theorem zero_ne_one_of_proper {I : Ideal α} (h : I ≠ ⊤) : (0 : α) ≠ 1 := fun hz => I.ne_top_iff_one.1 h <| hz ▸ I.zero_mem #align ideal.zero_ne_one_of_proper Ideal.zero_ne_one_of_proper theorem bot_prime [IsDomain α] : (⊥ : Ideal α).IsPrime := ⟨fun h => one_ne_zero (by rwa [Ideal.eq_top_iff_one, Submodule.mem_bot] at h), fun h => mul_eq_zero.mp (by simpa only [Submodule.mem_bot] using h)⟩ #align ideal.bot_prime Ideal.bot_prime class IsMaximal (I : Ideal α) : Prop where out : IsCoatom I #align ideal.is_maximal Ideal.IsMaximal theorem isMaximal_def {I : Ideal α} : I.IsMaximal ↔ IsCoatom I := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align ideal.is_maximal_def Ideal.isMaximal_def theorem IsMaximal.ne_top {I : Ideal α} (h : I.IsMaximal) : I ≠ ⊤ := (isMaximal_def.1 h).1 #align ideal.is_maximal.ne_top Ideal.IsMaximal.ne_top theorem isMaximal_iff {I : Ideal α} : I.IsMaximal ↔ (1 : α) ∉ I ∧ ∀ (J : Ideal α) (x), I ≤ J → x ∉ I → x ∈ J → (1 : α) ∈ J := isMaximal_def.trans <| and_congr I.ne_top_iff_one <| forall_congr' fun J => by rw [lt_iff_le_not_le]; exact ⟨fun H x h hx₁ hx₂ => J.eq_top_iff_one.1 <| H ⟨h, not_subset.2 ⟨_, hx₂, hx₁⟩⟩, fun H ⟨h₁, h₂⟩ => let ⟨x, xJ, xI⟩ := not_subset.1 h₂ J.eq_top_iff_one.2 <| H x h₁ xI xJ⟩ #align ideal.is_maximal_iff Ideal.isMaximal_iff theorem IsMaximal.eq_of_le {I J : Ideal α} (hI : I.IsMaximal) (hJ : J ≠ ⊤) (IJ : I ≤ J) : I = J := eq_iff_le_not_lt.2 ⟨IJ, fun h => hJ (hI.1.2 _ h)⟩ #align ideal.is_maximal.eq_of_le Ideal.IsMaximal.eq_of_le instance : IsCoatomic (Ideal α) := by apply CompleteLattice.coatomic_of_top_compact rw [← span_singleton_one] exact Submodule.singleton_span_isCompactElement 1 theorem IsMaximal.coprime_of_ne {M M' : Ideal α} (hM : M.IsMaximal) (hM' : M'.IsMaximal) (hne : M ≠ M') : M ⊔ M' = ⊤ := by contrapose! hne with h exact hM.eq_of_le hM'.ne_top (le_sup_left.trans_eq (hM'.eq_of_le h le_sup_right).symm) #align ideal.is_maximal.coprime_of_ne Ideal.IsMaximal.coprime_of_ne theorem exists_le_maximal (I : Ideal α) (hI : I ≠ ⊤) : ∃ M : Ideal α, M.IsMaximal ∧ I ≤ M := let ⟨m, hm⟩ := (eq_top_or_exists_le_coatom I).resolve_left hI ⟨m, ⟨⟨hm.1⟩, hm.2⟩⟩ #align ideal.exists_le_maximal Ideal.exists_le_maximal variable (α) theorem exists_maximal [Nontrivial α] : ∃ M : Ideal α, M.IsMaximal := let ⟨I, ⟨hI, _⟩⟩ := exists_le_maximal (⊥ : Ideal α) bot_ne_top ⟨I, hI⟩ #align ideal.exists_maximal Ideal.exists_maximal variable {α} instance [Nontrivial α] : Nontrivial (Ideal α) := by rcases@exists_maximal α _ _ with ⟨M, hM, _⟩ exact nontrivial_of_ne M ⊤ hM theorem maximal_of_no_maximal {P : Ideal α} (hmax : ∀ m : Ideal α, P < m → ¬IsMaximal m) (J : Ideal α) (hPJ : P < J) : J = ⊤ := by by_contra hnonmax rcases exists_le_maximal J hnonmax with ⟨M, hM1, hM2⟩ exact hmax M (lt_of_lt_of_le hPJ hM2) hM1 #align ideal.maximal_of_no_maximal Ideal.maximal_of_no_maximal theorem span_pair_comm {x y : α} : (span {x, y} : Ideal α) = span {y, x} := by simp only [span_insert, sup_comm] #align ideal.span_pair_comm Ideal.span_pair_comm theorem mem_span_pair {x y z : α} : z ∈ span ({x, y} : Set α) ↔ ∃ a b, a * x + b * y = z := Submodule.mem_span_pair #align ideal.mem_span_pair Ideal.mem_span_pair @[simp] theorem span_pair_add_mul_left {R : Type u} [CommRing R] {x y : R} (z : R) : (span {x + y * z, y} : Ideal R) = span {x, y} := by ext rw [mem_span_pair, mem_span_pair] exact ⟨fun ⟨a, b, h⟩ => ⟨a, b + a * z, by rw [← h] ring1⟩, fun ⟨a, b, h⟩ => ⟨a, b - a * z, by rw [← h] ring1⟩⟩ #align ideal.span_pair_add_mul_left Ideal.span_pair_add_mul_left @[simp] theorem span_pair_add_mul_right {R : Type u} [CommRing R] {x y : R} (z : R) : (span {x, y + x * z} : Ideal R) = span {x, y} := by rw [span_pair_comm, span_pair_add_mul_left, span_pair_comm] #align ideal.span_pair_add_mul_right Ideal.span_pair_add_mul_right
Mathlib/RingTheory/Ideal/Basic.lean
395
403
theorem IsMaximal.exists_inv {I : Ideal α} (hI : I.IsMaximal) {x} (hx : x ∉ I) : ∃ y, ∃ i ∈ I, y * x + i = 1 := by
cases' isMaximal_iff.1 hI with H₁ H₂ rcases mem_span_insert.1 (H₂ (span (insert x I)) x (Set.Subset.trans (subset_insert _ _) subset_span) hx (subset_span (mem_insert _ _))) with ⟨y, z, hz, hy⟩ refine ⟨y, z, ?_, hy.symm⟩ rwa [← span_eq I]
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1 theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc] #align finset.center_mass_smul Finset.centerMass_smul theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E) (wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass (Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ← Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1] · congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul] · rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab] #align finset.center_mass_segment' Finset.centerMass_segment' theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E) (hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass w₁ z + b • s.centerMass w₂ z = s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by simp only [← mul_sum, sum_add_distrib, mul_one, *] simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw, smul_sum, sum_add_distrib, add_smul, mul_smul, *] #align finset.center_mass_segment Finset.centerMass_segment theorem Finset.centerMass_ite_eq (hi : i ∈ t) : t.centerMass (fun j => if i = j then (1 : R) else 0) z = z i := by rw [Finset.centerMass_eq_of_sum_1] · trans ∑ j ∈ t, if i = j then z i else 0 · congr with i split_ifs with h exacts [h ▸ one_smul _ _, zero_smul _ _] · rw [sum_ite_eq, if_pos hi] · rw [sum_ite_eq, if_pos hi] #align finset.center_mass_ite_eq Finset.centerMass_ite_eq variable {t} theorem Finset.centerMass_subset {t' : Finset ι} (ht : t ⊆ t') (h : ∀ i ∈ t', i ∉ t → w i = 0) : t.centerMass w z = t'.centerMass w z := by rw [centerMass, sum_subset ht h, smul_sum, centerMass, smul_sum] apply sum_subset ht intro i hit' hit rw [h i hit' hit, zero_smul, smul_zero] #align finset.center_mass_subset Finset.centerMass_subset theorem Finset.centerMass_filter_ne_zero : (t.filter fun i => w i ≠ 0).centerMass w z = t.centerMass w z := Finset.centerMass_subset z (filter_subset _ _) fun i hit hit' => by simpa only [hit, mem_filter, true_and_iff, Ne, Classical.not_not] using hit' #align finset.center_mass_filter_ne_zero Finset.centerMass_filter_ne_zero variable {z} lemma Finset.centerMass_of_sum_add_sum_eq_zero {s t : Finset ι} (hw : ∑ i ∈ s, w i + ∑ i ∈ t, w i = 0) (hz : ∑ i ∈ s, w i • z i + ∑ i ∈ t, w i • z i = 0) : s.centerMass w z = t.centerMass w z := by simp [centerMass, eq_neg_of_add_eq_zero_right hw, eq_neg_of_add_eq_zero_left hz, ← neg_inv] theorem Convex.centerMass_mem (hs : Convex R s) : (∀ i ∈ t, 0 ≤ w i) → (0 < ∑ i ∈ t, w i) → (∀ i ∈ t, z i ∈ s) → t.centerMass w z ∈ s := by induction' t using Finset.induction with i t hi ht · simp [lt_irrefl] intro h₀ hpos hmem have zi : z i ∈ s := hmem _ (mem_insert_self _ _) have hs₀ : ∀ j ∈ t, 0 ≤ w j := fun j hj => h₀ j <| mem_insert_of_mem hj rw [sum_insert hi] at hpos by_cases hsum_t : ∑ j ∈ t, w j = 0 · have ws : ∀ j ∈ t, w j = 0 := (sum_eq_zero_iff_of_nonneg hs₀).1 hsum_t have wz : ∑ j ∈ t, w j • z j = 0 := sum_eq_zero fun i hi => by simp [ws i hi] simp only [centerMass, sum_insert hi, wz, hsum_t, add_zero] simp only [hsum_t, add_zero] at hpos rw [← mul_smul, inv_mul_cancel (ne_of_gt hpos), one_smul] exact zi · rw [Finset.centerMass_insert _ _ _ hi hsum_t] refine convex_iff_div.1 hs zi (ht hs₀ ?_ ?_) ?_ (sum_nonneg hs₀) hpos · exact lt_of_le_of_ne (sum_nonneg hs₀) (Ne.symm hsum_t) · intro j hj exact hmem j (mem_insert_of_mem hj) · exact h₀ _ (mem_insert_self _ _) #align convex.center_mass_mem Convex.centerMass_mem theorem Convex.sum_mem (hs : Convex R s) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : ∑ i ∈ t, w i = 1) (hz : ∀ i ∈ t, z i ∈ s) : (∑ i ∈ t, w i • z i) ∈ s := by simpa only [h₁, centerMass, inv_one, one_smul] using hs.centerMass_mem h₀ (h₁.symm ▸ zero_lt_one) hz #align convex.sum_mem Convex.sum_mem
Mathlib/Analysis/Convex/Combination.lean
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theorem Convex.finsum_mem {ι : Sort*} {w : ι → R} {z : ι → E} {s : Set E} (hs : Convex R s) (h₀ : ∀ i, 0 ≤ w i) (h₁ : ∑ᶠ i, w i = 1) (hz : ∀ i, w i ≠ 0 → z i ∈ s) : (∑ᶠ i, w i • z i) ∈ s := by
have hfin_w : (support (w ∘ PLift.down)).Finite := by by_contra H rw [finsum, dif_neg H] at h₁ exact zero_ne_one h₁ have hsub : support ((fun i => w i • z i) ∘ PLift.down) ⊆ hfin_w.toFinset := (support_smul_subset_left _ _).trans hfin_w.coe_toFinset.ge rw [finsum_eq_sum_plift_of_support_subset hsub] refine hs.sum_mem (fun _ _ => h₀ _) ?_ fun i hi => hz _ ?_ · rwa [finsum, dif_pos hfin_w] at h₁ · rwa [hfin_w.mem_toFinset] at hi
import Mathlib.Algebra.Algebra.Defs import Mathlib.Algebra.Polynomial.FieldDivision import Mathlib.FieldTheory.Minpoly.Basic import Mathlib.RingTheory.Adjoin.Basic import Mathlib.RingTheory.FinitePresentation import Mathlib.RingTheory.FiniteType import Mathlib.RingTheory.PowerBasis import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.RingTheory.QuotientNoetherian #align_import ring_theory.adjoin_root from "leanprover-community/mathlib"@"5c4b3d41a84bd2a1d79c7d9265e58a891e71be89" noncomputable section open scoped Classical open Polynomial universe u v w variable {R : Type u} {S : Type v} {K : Type w} open Polynomial Ideal def AdjoinRoot [CommRing R] (f : R[X]) : Type u := Polynomial R ⧸ (span {f} : Ideal R[X]) #align adjoin_root AdjoinRoot namespace AdjoinRoot section CommRing variable [CommRing R] (f : R[X]) instance instCommRing : CommRing (AdjoinRoot f) := Ideal.Quotient.commRing _ #align adjoin_root.comm_ring AdjoinRoot.instCommRing instance : Inhabited (AdjoinRoot f) := ⟨0⟩ instance : DecidableEq (AdjoinRoot f) := Classical.decEq _ protected theorem nontrivial [IsDomain R] (h : degree f ≠ 0) : Nontrivial (AdjoinRoot f) := Ideal.Quotient.nontrivial (by simp_rw [Ne, span_singleton_eq_top, Polynomial.isUnit_iff, not_exists, not_and] rintro x hx rfl exact h (degree_C hx.ne_zero)) #align adjoin_root.nontrivial AdjoinRoot.nontrivial def mk : R[X] →+* AdjoinRoot f := Ideal.Quotient.mk _ #align adjoin_root.mk AdjoinRoot.mk @[elab_as_elim] theorem induction_on {C : AdjoinRoot f → Prop} (x : AdjoinRoot f) (ih : ∀ p : R[X], C (mk f p)) : C x := Quotient.inductionOn' x ih #align adjoin_root.induction_on AdjoinRoot.induction_on def of : R →+* AdjoinRoot f := (mk f).comp C #align adjoin_root.of AdjoinRoot.of instance instSMulAdjoinRoot [DistribSMul S R] [IsScalarTower S R R] : SMul S (AdjoinRoot f) := Submodule.Quotient.instSMul' _ instance [DistribSMul S R] [IsScalarTower S R R] : DistribSMul S (AdjoinRoot f) := Submodule.Quotient.distribSMul' _ @[simp] theorem smul_mk [DistribSMul S R] [IsScalarTower S R R] (a : S) (x : R[X]) : a • mk f x = mk f (a • x) := rfl #align adjoin_root.smul_mk AdjoinRoot.smul_mk theorem smul_of [DistribSMul S R] [IsScalarTower S R R] (a : S) (x : R) : a • of f x = of f (a • x) := by rw [of, RingHom.comp_apply, RingHom.comp_apply, smul_mk, smul_C] #align adjoin_root.smul_of AdjoinRoot.smul_of instance (R₁ R₂ : Type*) [SMul R₁ R₂] [DistribSMul R₁ R] [DistribSMul R₂ R] [IsScalarTower R₁ R R] [IsScalarTower R₂ R R] [IsScalarTower R₁ R₂ R] (f : R[X]) : IsScalarTower R₁ R₂ (AdjoinRoot f) := Submodule.Quotient.isScalarTower _ _ instance (R₁ R₂ : Type*) [DistribSMul R₁ R] [DistribSMul R₂ R] [IsScalarTower R₁ R R] [IsScalarTower R₂ R R] [SMulCommClass R₁ R₂ R] (f : R[X]) : SMulCommClass R₁ R₂ (AdjoinRoot f) := Submodule.Quotient.smulCommClass _ _ instance isScalarTower_right [DistribSMul S R] [IsScalarTower S R R] : IsScalarTower S (AdjoinRoot f) (AdjoinRoot f) := Ideal.Quotient.isScalarTower_right #align adjoin_root.is_scalar_tower_right AdjoinRoot.isScalarTower_right instance [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (f : R[X]) : DistribMulAction S (AdjoinRoot f) := Submodule.Quotient.distribMulAction' _ instance [CommSemiring S] [Algebra S R] : Algebra S (AdjoinRoot f) := Ideal.Quotient.algebra S @[simp] theorem algebraMap_eq : algebraMap R (AdjoinRoot f) = of f := rfl #align adjoin_root.algebra_map_eq AdjoinRoot.algebraMap_eq variable (S) theorem algebraMap_eq' [CommSemiring S] [Algebra S R] : algebraMap S (AdjoinRoot f) = (of f).comp (algebraMap S R) := rfl #align adjoin_root.algebra_map_eq' AdjoinRoot.algebraMap_eq' variable {S} theorem finiteType : Algebra.FiniteType R (AdjoinRoot f) := (Algebra.FiniteType.polynomial R).of_surjective _ (Ideal.Quotient.mkₐ_surjective R _) #align adjoin_root.finite_type AdjoinRoot.finiteType theorem finitePresentation : Algebra.FinitePresentation R (AdjoinRoot f) := (Algebra.FinitePresentation.polynomial R).quotient (Submodule.fg_span_singleton f) #align adjoin_root.finite_presentation AdjoinRoot.finitePresentation def root : AdjoinRoot f := mk f X #align adjoin_root.root AdjoinRoot.root variable {f} instance hasCoeT : CoeTC R (AdjoinRoot f) := ⟨of f⟩ #align adjoin_root.has_coe_t AdjoinRoot.hasCoeT @[ext] theorem algHom_ext [Semiring S] [Algebra R S] {g₁ g₂ : AdjoinRoot f →ₐ[R] S} (h : g₁ (root f) = g₂ (root f)) : g₁ = g₂ := Ideal.Quotient.algHom_ext R <| Polynomial.algHom_ext h #align adjoin_root.alg_hom_ext AdjoinRoot.algHom_ext @[simp] theorem mk_eq_mk {g h : R[X]} : mk f g = mk f h ↔ f ∣ g - h := Ideal.Quotient.eq.trans Ideal.mem_span_singleton #align adjoin_root.mk_eq_mk AdjoinRoot.mk_eq_mk @[simp] theorem mk_eq_zero {g : R[X]} : mk f g = 0 ↔ f ∣ g := mk_eq_mk.trans <| by rw [sub_zero] #align adjoin_root.mk_eq_zero AdjoinRoot.mk_eq_zero @[simp] theorem mk_self : mk f f = 0 := Quotient.sound' <| QuotientAddGroup.leftRel_apply.mpr (mem_span_singleton.2 <| by simp) #align adjoin_root.mk_self AdjoinRoot.mk_self @[simp] theorem mk_C (x : R) : mk f (C x) = x := rfl set_option linter.uppercaseLean3 false in #align adjoin_root.mk_C AdjoinRoot.mk_C @[simp] theorem mk_X : mk f X = root f := rfl set_option linter.uppercaseLean3 false in #align adjoin_root.mk_X AdjoinRoot.mk_X theorem mk_ne_zero_of_degree_lt (hf : Monic f) {g : R[X]} (h0 : g ≠ 0) (hd : degree g < degree f) : mk f g ≠ 0 := mk_eq_zero.not.2 <| hf.not_dvd_of_degree_lt h0 hd #align adjoin_root.mk_ne_zero_of_degree_lt AdjoinRoot.mk_ne_zero_of_degree_lt theorem mk_ne_zero_of_natDegree_lt (hf : Monic f) {g : R[X]} (h0 : g ≠ 0) (hd : natDegree g < natDegree f) : mk f g ≠ 0 := mk_eq_zero.not.2 <| hf.not_dvd_of_natDegree_lt h0 hd #align adjoin_root.mk_ne_zero_of_nat_degree_lt AdjoinRoot.mk_ne_zero_of_natDegree_lt @[simp] theorem aeval_eq (p : R[X]) : aeval (root f) p = mk f p := Polynomial.induction_on p (fun x => by rw [aeval_C] rfl) (fun p q ihp ihq => by rw [AlgHom.map_add, RingHom.map_add, ihp, ihq]) fun n x _ => by rw [AlgHom.map_mul, aeval_C, AlgHom.map_pow, aeval_X, RingHom.map_mul, mk_C, RingHom.map_pow, mk_X] rfl #align adjoin_root.aeval_eq AdjoinRoot.aeval_eq -- Porting note: the following proof was partly in term-mode, but I was not able to fix it. theorem adjoinRoot_eq_top : Algebra.adjoin R ({root f} : Set (AdjoinRoot f)) = ⊤ := by refine Algebra.eq_top_iff.2 fun x => ?_ induction x using AdjoinRoot.induction_on with | ih p => exact (Algebra.adjoin_singleton_eq_range_aeval R (root f)).symm ▸ ⟨p, aeval_eq p⟩ #align adjoin_root.adjoin_root_eq_top AdjoinRoot.adjoinRoot_eq_top @[simp] theorem eval₂_root (f : R[X]) : f.eval₂ (of f) (root f) = 0 := by rw [← algebraMap_eq, ← aeval_def, aeval_eq, mk_self] #align adjoin_root.eval₂_root AdjoinRoot.eval₂_root theorem isRoot_root (f : R[X]) : IsRoot (f.map (of f)) (root f) := by rw [IsRoot, eval_map, eval₂_root] #align adjoin_root.is_root_root AdjoinRoot.isRoot_root theorem isAlgebraic_root (hf : f ≠ 0) : IsAlgebraic R (root f) := ⟨f, hf, eval₂_root f⟩ #align adjoin_root.is_algebraic_root AdjoinRoot.isAlgebraic_root theorem of.injective_of_degree_ne_zero [IsDomain R] (hf : f.degree ≠ 0) : Function.Injective (AdjoinRoot.of f) := by rw [injective_iff_map_eq_zero] intro p hp rw [AdjoinRoot.of, RingHom.comp_apply, AdjoinRoot.mk_eq_zero] at hp by_cases h : f = 0 · exact C_eq_zero.mp (eq_zero_of_zero_dvd (by rwa [h] at hp)) · contrapose! hf with h_contra rw [← degree_C h_contra] apply le_antisymm (degree_le_of_dvd hp (by rwa [Ne, C_eq_zero])) _ rwa [degree_C h_contra, zero_le_degree_iff] #align adjoin_root.of.injective_of_degree_ne_zero AdjoinRoot.of.injective_of_degree_ne_zero variable [CommRing S] def lift (i : R →+* S) (x : S) (h : f.eval₂ i x = 0) : AdjoinRoot f →+* S := by apply Ideal.Quotient.lift _ (eval₂RingHom i x) intro g H rcases mem_span_singleton.1 H with ⟨y, hy⟩ rw [hy, RingHom.map_mul, coe_eval₂RingHom, h, zero_mul] #align adjoin_root.lift AdjoinRoot.lift variable {i : R →+* S} {a : S} (h : f.eval₂ i a = 0) @[simp] theorem lift_mk (g : R[X]) : lift i a h (mk f g) = g.eval₂ i a := Ideal.Quotient.lift_mk _ _ _ #align adjoin_root.lift_mk AdjoinRoot.lift_mk @[simp] theorem lift_root : lift i a h (root f) = a := by rw [root, lift_mk, eval₂_X] #align adjoin_root.lift_root AdjoinRoot.lift_root @[simp] theorem lift_of {x : R} : lift i a h x = i x := by rw [← mk_C x, lift_mk, eval₂_C] #align adjoin_root.lift_of AdjoinRoot.lift_of @[simp] theorem lift_comp_of : (lift i a h).comp (of f) = i := RingHom.ext fun _ => @lift_of _ _ _ _ _ _ _ h _ #align adjoin_root.lift_comp_of AdjoinRoot.lift_comp_of variable (f) [Algebra R S] def liftHom (x : S) (hfx : aeval x f = 0) : AdjoinRoot f →ₐ[R] S := { lift (algebraMap R S) x hfx with commutes' := fun r => show lift _ _ hfx r = _ from lift_of hfx } #align adjoin_root.lift_hom AdjoinRoot.liftHom @[simp] theorem coe_liftHom (x : S) (hfx : aeval x f = 0) : (liftHom f x hfx : AdjoinRoot f →+* S) = lift (algebraMap R S) x hfx := rfl #align adjoin_root.coe_lift_hom AdjoinRoot.coe_liftHom @[simp] theorem aeval_algHom_eq_zero (ϕ : AdjoinRoot f →ₐ[R] S) : aeval (ϕ (root f)) f = 0 := by have h : ϕ.toRingHom.comp (of f) = algebraMap R S := RingHom.ext_iff.mpr ϕ.commutes rw [aeval_def, ← h, ← RingHom.map_zero ϕ.toRingHom, ← eval₂_root f, hom_eval₂] rfl #align adjoin_root.aeval_alg_hom_eq_zero AdjoinRoot.aeval_algHom_eq_zero @[simp] theorem liftHom_eq_algHom (f : R[X]) (ϕ : AdjoinRoot f →ₐ[R] S) : liftHom f (ϕ (root f)) (aeval_algHom_eq_zero f ϕ) = ϕ := by suffices ϕ.equalizer (liftHom f (ϕ (root f)) (aeval_algHom_eq_zero f ϕ)) = ⊤ by exact (AlgHom.ext fun x => (SetLike.ext_iff.mp this x).mpr Algebra.mem_top).symm rw [eq_top_iff, ← adjoinRoot_eq_top, Algebra.adjoin_le_iff, Set.singleton_subset_iff] exact (@lift_root _ _ _ _ _ _ _ (aeval_algHom_eq_zero f ϕ)).symm #align adjoin_root.lift_hom_eq_alg_hom AdjoinRoot.liftHom_eq_algHom variable (hfx : aeval a f = 0) @[simp] theorem liftHom_mk {g : R[X]} : liftHom f a hfx (mk f g) = aeval a g := lift_mk hfx g #align adjoin_root.lift_hom_mk AdjoinRoot.liftHom_mk @[simp] theorem liftHom_root : liftHom f a hfx (root f) = a := lift_root hfx #align adjoin_root.lift_hom_root AdjoinRoot.liftHom_root @[simp] theorem liftHom_of {x : R} : liftHom f a hfx (of f x) = algebraMap _ _ x := lift_of hfx #align adjoin_root.lift_hom_of AdjoinRoot.liftHom_of section PowerBasis variable [CommRing R] {g : R[X]} theorem isIntegral_root' (hg : g.Monic) : IsIntegral R (root g) := ⟨g, hg, eval₂_root g⟩ #align adjoin_root.is_integral_root' AdjoinRoot.isIntegral_root' def modByMonicHom (hg : g.Monic) : AdjoinRoot g →ₗ[R] R[X] := (Submodule.liftQ _ (Polynomial.modByMonicHom g) fun f (hf : f ∈ (Ideal.span {g}).restrictScalars R) => (mem_ker_modByMonic hg).mpr (Ideal.mem_span_singleton.mp hf)).comp <| (Submodule.Quotient.restrictScalarsEquiv R (Ideal.span {g} : Ideal R[X])).symm.toLinearMap #align adjoin_root.mod_by_monic_hom AdjoinRoot.modByMonicHom @[simp] theorem modByMonicHom_mk (hg : g.Monic) (f : R[X]) : modByMonicHom hg (mk g f) = f %ₘ g := rfl #align adjoin_root.mod_by_monic_hom_mk AdjoinRoot.modByMonicHom_mk -- Porting note: the following proof was partly in term-mode, but I was not able to fix it. theorem mk_leftInverse (hg : g.Monic) : Function.LeftInverse (mk g) (modByMonicHom hg) := by intro f induction f using AdjoinRoot.induction_on rw [modByMonicHom_mk hg, mk_eq_mk, modByMonic_eq_sub_mul_div _ hg, sub_sub_cancel_left, dvd_neg] apply dvd_mul_right #align adjoin_root.mk_left_inverse AdjoinRoot.mk_leftInverse theorem mk_surjective : Function.Surjective (mk g) := Ideal.Quotient.mk_surjective #align adjoin_root.mk_surjective AdjoinRoot.mk_surjectiveₓ def powerBasisAux' (hg : g.Monic) : Basis (Fin g.natDegree) R (AdjoinRoot g) := Basis.ofEquivFun { toFun := fun f i => (modByMonicHom hg f).coeff i invFun := fun c => mk g <| ∑ i : Fin g.natDegree, monomial i (c i) map_add' := fun f₁ f₂ => funext fun i => by simp only [(modByMonicHom hg).map_add, coeff_add, Pi.add_apply] map_smul' := fun f₁ f₂ => funext fun i => by simp only [(modByMonicHom hg).map_smul, coeff_smul, Pi.smul_apply, RingHom.id_apply] -- Porting note: another proof that I converted to tactic mode left_inv := by intro f induction f using AdjoinRoot.induction_on simp only [modByMonicHom_mk, sum_modByMonic_coeff hg degree_le_natDegree] refine (mk_eq_mk.mpr ?_).symm rw [modByMonic_eq_sub_mul_div _ hg, sub_sub_cancel] exact dvd_mul_right _ _ right_inv := fun x => funext fun i => by nontriviality R simp only [modByMonicHom_mk] rw [(modByMonic_eq_self_iff hg).mpr, finset_sum_coeff] · simp_rw [coeff_monomial, Fin.val_eq_val, Finset.sum_ite_eq', if_pos (Finset.mem_univ _)] · simp_rw [← C_mul_X_pow_eq_monomial] exact (degree_eq_natDegree <| hg.ne_zero).symm ▸ degree_sum_fin_lt _ } #align adjoin_root.power_basis_aux' AdjoinRoot.powerBasisAux' -- This lemma could be autogenerated by `@[simps]` but unfortunately that would require -- unfolding that causes a timeout. -- This lemma should have the simp tag but this causes a lint issue. theorem powerBasisAux'_repr_symm_apply (hg : g.Monic) (c : Fin g.natDegree →₀ R) : (powerBasisAux' hg).repr.symm c = mk g (∑ i : Fin _, monomial i (c i)) := rfl #align adjoin_root.power_basis_aux'_repr_symm_apply AdjoinRoot.powerBasisAux'_repr_symm_apply -- This lemma could be autogenerated by `@[simps]` but unfortunately that would require -- unfolding that causes a timeout. @[simp] theorem powerBasisAux'_repr_apply_to_fun (hg : g.Monic) (f : AdjoinRoot g) (i : Fin g.natDegree) : (powerBasisAux' hg).repr f i = (modByMonicHom hg f).coeff ↑i := rfl #align adjoin_root.power_basis_aux'_repr_apply_to_fun AdjoinRoot.powerBasisAux'_repr_apply_to_fun @[simps] def powerBasis' (hg : g.Monic) : PowerBasis R (AdjoinRoot g) where gen := root g dim := g.natDegree basis := powerBasisAux' hg basis_eq_pow i := by simp only [powerBasisAux', Basis.coe_ofEquivFun, LinearEquiv.coe_symm_mk] rw [Finset.sum_eq_single i] · rw [Function.update_same, monomial_one_right_eq_X_pow, (mk g).map_pow, mk_X] · intro j _ hj rw [← monomial_zero_right _] convert congr_arg _ (Function.update_noteq hj _ _) -- Fix `DecidableEq` mismatch · intros have := Finset.mem_univ i contradiction #align adjoin_root.power_basis' AdjoinRoot.powerBasis' variable [Field K] {f : K[X]} theorem isIntegral_root (hf : f ≠ 0) : IsIntegral K (root f) := (isAlgebraic_root hf).isIntegral #align adjoin_root.is_integral_root AdjoinRoot.isIntegral_root
Mathlib/RingTheory/AdjoinRoot.lean
546
562
theorem minpoly_root (hf : f ≠ 0) : minpoly K (root f) = f * C f.leadingCoeff⁻¹ := by
have f'_monic : Monic _ := monic_mul_leadingCoeff_inv hf refine (minpoly.unique K _ f'_monic ?_ ?_).symm · rw [AlgHom.map_mul, aeval_eq, mk_self, zero_mul] intro q q_monic q_aeval have commutes : (lift (algebraMap K (AdjoinRoot f)) (root f) q_aeval).comp (mk q) = mk f := by ext · simp only [RingHom.comp_apply, mk_C, lift_of] rfl · simp only [RingHom.comp_apply, mk_X, lift_root] rw [degree_eq_natDegree f'_monic.ne_zero, degree_eq_natDegree q_monic.ne_zero, Nat.cast_le, natDegree_mul hf, natDegree_C, add_zero] · apply natDegree_le_of_dvd · have : mk f q = 0 := by rw [← commutes, RingHom.comp_apply, mk_self, RingHom.map_zero] exact mk_eq_zero.1 this · exact q_monic.ne_zero · rwa [Ne, C_eq_zero, inv_eq_zero, leadingCoeff_eq_zero]
import Mathlib.CategoryTheory.Opposites #align_import category_theory.eq_to_hom from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe v₁ v₂ v₃ u₁ u₂ u₃ -- morphism levels before object levels. See note [CategoryTheory universes]. namespace CategoryTheory open Opposite variable {C : Type u₁} [Category.{v₁} C] def eqToHom {X Y : C} (p : X = Y) : X ⟶ Y := by rw [p]; exact 𝟙 _ #align category_theory.eq_to_hom CategoryTheory.eqToHom @[simp] theorem eqToHom_refl (X : C) (p : X = X) : eqToHom p = 𝟙 X := rfl #align category_theory.eq_to_hom_refl CategoryTheory.eqToHom_refl @[reassoc (attr := simp)] theorem eqToHom_trans {X Y Z : C} (p : X = Y) (q : Y = Z) : eqToHom p ≫ eqToHom q = eqToHom (p.trans q) := by cases p cases q simp #align category_theory.eq_to_hom_trans CategoryTheory.eqToHom_trans theorem comp_eqToHom_iff {X Y Y' : C} (p : Y = Y') (f : X ⟶ Y) (g : X ⟶ Y') : f ≫ eqToHom p = g ↔ f = g ≫ eqToHom p.symm := { mp := fun h => h ▸ by simp mpr := fun h => by simp [eq_whisker h (eqToHom p)] } #align category_theory.comp_eq_to_hom_iff CategoryTheory.comp_eqToHom_iff theorem eqToHom_comp_iff {X X' Y : C} (p : X = X') (f : X ⟶ Y) (g : X' ⟶ Y) : eqToHom p ≫ g = f ↔ g = eqToHom p.symm ≫ f := { mp := fun h => h ▸ by simp mpr := fun h => h ▸ by simp [whisker_eq _ h] } #align category_theory.eq_to_hom_comp_iff CategoryTheory.eqToHom_comp_iff variable {β : Sort*} -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_naturality {f g : β → C} (z : ∀ b, f b ⟶ g b) {j j' : β} (w : j = j') : z j ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ z j' := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_hom_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).hom ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').hom := by cases w simp -- The simpNF linter incorrectly claims that this will never apply. -- https://github.com/leanprover-community/mathlib4/issues/5049 @[reassoc (attr := simp, nolint simpNF)] theorem eqToHom_iso_inv_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') : (z j).inv ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').inv := by cases w simp @[simp, nolint simpNF] theorem congrArg_cast_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : cast (congrArg (fun W : C => W ⟶ Z) p.symm) q = eqToHom p ≫ q := by cases p simp theorem congrArg_mpr_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) : (congrArg (fun W : C => W ⟶ Z) p).mpr q = eqToHom p ≫ q := by cases p simp #align category_theory.congr_arg_mpr_hom_left CategoryTheory.congrArg_mpr_hom_left @[simp, nolint simpNF] theorem congrArg_cast_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) : cast (congrArg (fun W : C => X ⟶ W) q.symm) p = p ≫ eqToHom q.symm := by cases q simp theorem congrArg_mpr_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) : (congrArg (fun W : C => X ⟶ W) q).mpr p = p ≫ eqToHom q.symm := by cases q simp #align category_theory.congr_arg_mpr_hom_right CategoryTheory.congrArg_mpr_hom_right def eqToIso {X Y : C} (p : X = Y) : X ≅ Y := ⟨eqToHom p, eqToHom p.symm, by simp, by simp⟩ #align category_theory.eq_to_iso CategoryTheory.eqToIso @[simp] theorem eqToIso.hom {X Y : C} (p : X = Y) : (eqToIso p).hom = eqToHom p := rfl #align category_theory.eq_to_iso.hom CategoryTheory.eqToIso.hom @[simp] theorem eqToIso.inv {X Y : C} (p : X = Y) : (eqToIso p).inv = eqToHom p.symm := rfl #align category_theory.eq_to_iso.inv CategoryTheory.eqToIso.inv @[simp] theorem eqToIso_refl {X : C} (p : X = X) : eqToIso p = Iso.refl X := rfl #align category_theory.eq_to_iso_refl CategoryTheory.eqToIso_refl @[simp] theorem eqToIso_trans {X Y Z : C} (p : X = Y) (q : Y = Z) : eqToIso p ≪≫ eqToIso q = eqToIso (p.trans q) := by ext; simp #align category_theory.eq_to_iso_trans CategoryTheory.eqToIso_trans @[simp] theorem eqToHom_op {X Y : C} (h : X = Y) : (eqToHom h).op = eqToHom (congr_arg op h.symm) := by cases h rfl #align category_theory.eq_to_hom_op CategoryTheory.eqToHom_op @[simp] theorem eqToHom_unop {X Y : Cᵒᵖ} (h : X = Y) : (eqToHom h).unop = eqToHom (congr_arg unop h.symm) := by cases h rfl #align category_theory.eq_to_hom_unop CategoryTheory.eqToHom_unop instance {X Y : C} (h : X = Y) : IsIso (eqToHom h) := (eqToIso h).isIso_hom @[simp] theorem inv_eqToHom {X Y : C} (h : X = Y) : inv (eqToHom h) = eqToHom h.symm := by aesop_cat #align category_theory.inv_eq_to_hom CategoryTheory.inv_eqToHom variable {D : Type u₂} [Category.{v₂} D] namespace Functor
Mathlib/CategoryTheory/EqToHom.lean
200
213
theorem ext {F G : C ⥤ D} (h_obj : ∀ X, F.obj X = G.obj X) (h_map : ∀ X Y f, F.map f = eqToHom (h_obj X) ≫ G.map f ≫ eqToHom (h_obj Y).symm := by
aesop_cat) : F = G := by match F, G with | mk F_pre _ _ , mk G_pre _ _ => match F_pre, G_pre with -- Porting note: did not unfold the Prefunctor unlike Lean3 | Prefunctor.mk F_obj _ , Prefunctor.mk G_obj _ => obtain rfl : F_obj = G_obj := by ext X apply h_obj congr funext X Y f simpa using h_map X Y f
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section OrderedAddCommGroup variable [OrderedAddCommGroup α] (a b c : α) @[simp] theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add'.symm #align set.preimage_const_add_Ici Set.preimage_const_add_Ici @[simp] theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add'.symm #align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi @[simp] theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le'.symm #align set.preimage_const_add_Iic Set.preimage_const_add_Iic @[simp] theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt'.symm #align set.preimage_const_add_Iio Set.preimage_const_add_Iio @[simp] theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_const_add_Icc Set.preimage_const_add_Icc @[simp] theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_const_add_Ico Set.preimage_const_add_Ico @[simp] theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc @[simp] theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo @[simp] theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add.symm #align set.preimage_add_const_Ici Set.preimage_add_const_Ici @[simp] theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add.symm #align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi @[simp] theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le.symm #align set.preimage_add_const_Iic Set.preimage_add_const_Iic @[simp] theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt.symm #align set.preimage_add_const_Iio Set.preimage_add_const_Iio @[simp] theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_add_const_Icc Set.preimage_add_const_Icc @[simp] theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_add_const_Ico Set.preimage_add_const_Ico @[simp] theorem preimage_add_const_Ioc : (fun x => x + a) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_add_const_Ioc Set.preimage_add_const_Ioc @[simp] theorem preimage_add_const_Ioo : (fun x => x + a) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_add_const_Ioo Set.preimage_add_const_Ioo @[simp] theorem preimage_neg_Ici : -Ici a = Iic (-a) := ext fun _x => le_neg #align set.preimage_neg_Ici Set.preimage_neg_Ici @[simp] theorem preimage_neg_Iic : -Iic a = Ici (-a) := ext fun _x => neg_le #align set.preimage_neg_Iic Set.preimage_neg_Iic @[simp] theorem preimage_neg_Ioi : -Ioi a = Iio (-a) := ext fun _x => lt_neg #align set.preimage_neg_Ioi Set.preimage_neg_Ioi @[simp] theorem preimage_neg_Iio : -Iio a = Ioi (-a) := ext fun _x => neg_lt #align set.preimage_neg_Iio Set.preimage_neg_Iio @[simp] theorem preimage_neg_Icc : -Icc a b = Icc (-b) (-a) := by simp [← Ici_inter_Iic, inter_comm] #align set.preimage_neg_Icc Set.preimage_neg_Icc @[simp] theorem preimage_neg_Ico : -Ico a b = Ioc (-b) (-a) := by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm] #align set.preimage_neg_Ico Set.preimage_neg_Ico @[simp] theorem preimage_neg_Ioc : -Ioc a b = Ico (-b) (-a) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm] #align set.preimage_neg_Ioc Set.preimage_neg_Ioc @[simp] theorem preimage_neg_Ioo : -Ioo a b = Ioo (-b) (-a) := by simp [← Ioi_inter_Iio, inter_comm] #align set.preimage_neg_Ioo Set.preimage_neg_Ioo @[simp] theorem preimage_sub_const_Ici : (fun x => x - a) ⁻¹' Ici b = Ici (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ici Set.preimage_sub_const_Ici @[simp] theorem preimage_sub_const_Ioi : (fun x => x - a) ⁻¹' Ioi b = Ioi (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ioi Set.preimage_sub_const_Ioi @[simp] theorem preimage_sub_const_Iic : (fun x => x - a) ⁻¹' Iic b = Iic (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Iic Set.preimage_sub_const_Iic @[simp] theorem preimage_sub_const_Iio : (fun x => x - a) ⁻¹' Iio b = Iio (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Iio Set.preimage_sub_const_Iio @[simp] theorem preimage_sub_const_Icc : (fun x => x - a) ⁻¹' Icc b c = Icc (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Icc Set.preimage_sub_const_Icc @[simp] theorem preimage_sub_const_Ico : (fun x => x - a) ⁻¹' Ico b c = Ico (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ico Set.preimage_sub_const_Ico @[simp] theorem preimage_sub_const_Ioc : (fun x => x - a) ⁻¹' Ioc b c = Ioc (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ioc Set.preimage_sub_const_Ioc @[simp] theorem preimage_sub_const_Ioo : (fun x => x - a) ⁻¹' Ioo b c = Ioo (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ioo Set.preimage_sub_const_Ioo @[simp] theorem preimage_const_sub_Ici : (fun x => a - x) ⁻¹' Ici b = Iic (a - b) := ext fun _x => le_sub_comm #align set.preimage_const_sub_Ici Set.preimage_const_sub_Ici @[simp] theorem preimage_const_sub_Iic : (fun x => a - x) ⁻¹' Iic b = Ici (a - b) := ext fun _x => sub_le_comm #align set.preimage_const_sub_Iic Set.preimage_const_sub_Iic @[simp] theorem preimage_const_sub_Ioi : (fun x => a - x) ⁻¹' Ioi b = Iio (a - b) := ext fun _x => lt_sub_comm #align set.preimage_const_sub_Ioi Set.preimage_const_sub_Ioi @[simp] theorem preimage_const_sub_Iio : (fun x => a - x) ⁻¹' Iio b = Ioi (a - b) := ext fun _x => sub_lt_comm #align set.preimage_const_sub_Iio Set.preimage_const_sub_Iio @[simp] theorem preimage_const_sub_Icc : (fun x => a - x) ⁻¹' Icc b c = Icc (a - c) (a - b) := by simp [← Ici_inter_Iic, inter_comm] #align set.preimage_const_sub_Icc Set.preimage_const_sub_Icc @[simp] theorem preimage_const_sub_Ico : (fun x => a - x) ⁻¹' Ico b c = Ioc (a - c) (a - b) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm] #align set.preimage_const_sub_Ico Set.preimage_const_sub_Ico @[simp] theorem preimage_const_sub_Ioc : (fun x => a - x) ⁻¹' Ioc b c = Ico (a - c) (a - b) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm] #align set.preimage_const_sub_Ioc Set.preimage_const_sub_Ioc @[simp] theorem preimage_const_sub_Ioo : (fun x => a - x) ⁻¹' Ioo b c = Ioo (a - c) (a - b) := by simp [← Ioi_inter_Iio, inter_comm] #align set.preimage_const_sub_Ioo Set.preimage_const_sub_Ioo -- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm` theorem image_const_add_Iic : (fun x => a + x) '' Iic b = Iic (a + b) := by simp [add_comm] #align set.image_const_add_Iic Set.image_const_add_Iic -- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm` theorem image_const_add_Iio : (fun x => a + x) '' Iio b = Iio (a + b) := by simp [add_comm] #align set.image_const_add_Iio Set.image_const_add_Iio -- @[simp] -- Porting note (#10618): simp can prove this theorem image_add_const_Iic : (fun x => x + a) '' Iic b = Iic (b + a) := by simp #align set.image_add_const_Iic Set.image_add_const_Iic -- @[simp] -- Porting note (#10618): simp can prove this theorem image_add_const_Iio : (fun x => x + a) '' Iio b = Iio (b + a) := by simp #align set.image_add_const_Iio Set.image_add_const_Iio theorem image_neg_Ici : Neg.neg '' Ici a = Iic (-a) := by simp #align set.image_neg_Ici Set.image_neg_Ici theorem image_neg_Iic : Neg.neg '' Iic a = Ici (-a) := by simp #align set.image_neg_Iic Set.image_neg_Iic theorem image_neg_Ioi : Neg.neg '' Ioi a = Iio (-a) := by simp #align set.image_neg_Ioi Set.image_neg_Ioi theorem image_neg_Iio : Neg.neg '' Iio a = Ioi (-a) := by simp #align set.image_neg_Iio Set.image_neg_Iio theorem image_neg_Icc : Neg.neg '' Icc a b = Icc (-b) (-a) := by simp #align set.image_neg_Icc Set.image_neg_Icc theorem image_neg_Ico : Neg.neg '' Ico a b = Ioc (-b) (-a) := by simp #align set.image_neg_Ico Set.image_neg_Ico theorem image_neg_Ioc : Neg.neg '' Ioc a b = Ico (-b) (-a) := by simp #align set.image_neg_Ioc Set.image_neg_Ioc theorem image_neg_Ioo : Neg.neg '' Ioo a b = Ioo (-b) (-a) := by simp #align set.image_neg_Ioo Set.image_neg_Ioo @[simp] theorem image_const_sub_Ici : (fun x => a - x) '' Ici b = Iic (a - b) := by have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm] #align set.image_const_sub_Ici Set.image_const_sub_Ici @[simp] theorem image_const_sub_Iic : (fun x => a - x) '' Iic b = Ici (a - b) := by have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm] #align set.image_const_sub_Iic Set.image_const_sub_Iic @[simp] theorem image_const_sub_Ioi : (fun x => a - x) '' Ioi b = Iio (a - b) := by have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm] #align set.image_const_sub_Ioi Set.image_const_sub_Ioi @[simp] theorem image_const_sub_Iio : (fun x => a - x) '' Iio b = Ioi (a - b) := by have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm] #align set.image_const_sub_Iio Set.image_const_sub_Iio @[simp] theorem image_const_sub_Icc : (fun x => a - x) '' Icc b c = Icc (a - c) (a - b) := by have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm] #align set.image_const_sub_Icc Set.image_const_sub_Icc @[simp] theorem image_const_sub_Ico : (fun x => a - x) '' Ico b c = Ioc (a - c) (a - b) := by have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm] #align set.image_const_sub_Ico Set.image_const_sub_Ico @[simp]
Mathlib/Data/Set/Pointwise/Interval.lean
441
443
theorem image_const_sub_Ioc : (fun x => a - x) '' Ioc b c = Ico (a - c) (a - b) := by
have := image_comp (fun x => a + x) fun x => -x; dsimp [Function.comp_def] at this simp [sub_eq_add_neg, this, add_comm]
import Batteries.Data.List.Lemmas import Batteries.Data.Array.Basic import Batteries.Tactic.SeqFocus import Batteries.Util.ProofWanted namespace Array theorem forIn_eq_data_forIn [Monad m] (as : Array α) (b : β) (f : α → β → m (ForInStep β)) : forIn as b f = forIn as.data b f := by let rec loop : ∀ {i h b j}, j + i = as.size → Array.forIn.loop as f i h b = forIn (as.data.drop j) b f | 0, _, _, _, rfl => by rw [List.drop_length]; rfl | i+1, _, _, j, ij => by simp only [forIn.loop, Nat.add] have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc] have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..) have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩ simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl conv => lhs; simp only [forIn, Array.forIn] rw [loop (Nat.zero_add _)]; rfl theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) : (as.zipWith bs f).data = as.data.zipWith f bs.data := by let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size → (zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by intro i cs hia hib unfold zipWithAux by_cases h : i = as.size ∨ i = bs.size case pos => have : ¬(i < as.size) ∨ ¬(i < bs.size) := by cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true] -- Cleaned up aesop output below simp_all only [Nat.not_lt] cases h <;> [(cases this); (cases this)] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_left, List.append_nil] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_left, List.append_nil] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_right, List.append_nil] split <;> simp_all only [Nat.not_lt] · simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length, List.zipWith_nil_right, List.append_nil] split <;> simp_all only [Nat.not_lt] case neg => rw [not_or] at h have has : i < as.size := Nat.lt_of_le_of_ne hia h.1 have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2 simp only [has, hbs, dite_true] rw [loop (i+1) _ has hbs, Array.push_data] have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl let i_as : Fin as.data.length := ⟨i, has⟩ let i_bs : Fin bs.data.length := ⟨i, hbs⟩ rw [h₁, List.append_assoc] congr rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get] show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data) ((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) = List.zipWith f (List.drop i as.data) (List.drop i bs.data) simp only [List.get_cons_drop] termination_by as.size - i simp [zipWith, loop 0 #[] (by simp) (by simp)] theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) : (as.zipWith bs f).size = min as.size bs.size := by rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith] theorem zip_eq_zip_data (as : Array α) (bs : Array β) : (as.zip bs).data = as.data.zip bs.data := zipWith_eq_zipWith_data Prod.mk as bs theorem size_zip (as : Array α) (bs : Array β) : (as.zip bs).size = min as.size bs.size := as.size_zipWith bs Prod.mk theorem size_filter_le (p : α → Bool) (l : Array α) : (l.filter p).size ≤ l.size := by simp only [← data_length, filter_data] apply List.length_filter_le @[simp] theorem join_data {l : Array (Array α)} : l.join.data = (l.data.map data).join := by dsimp [join] simp only [foldl_eq_foldl_data] generalize l.data = l have : ∀ a : Array α, (List.foldl ?_ a l).data = a.data ++ ?_ := ?_ exact this #[] induction l with | nil => simp | cons h => induction h.data <;> simp [*]
.lake/packages/batteries/Batteries/Data/Array/Lemmas.lean
106
113
theorem mem_join : ∀ {L : Array (Array α)}, a ∈ L.join ↔ ∃ l, l ∈ L ∧ a ∈ l := by
simp only [mem_def, join_data, List.mem_join, List.mem_map] intro l constructor · rintro ⟨_, ⟨s, m, rfl⟩, h⟩ exact ⟨s, m, h⟩ · rintro ⟨s, h₁, h₂⟩ refine ⟨s.data, ⟨⟨s, h₁, rfl⟩, h₂⟩⟩
import Mathlib.Algebra.Order.Ring.Abs #align_import data.int.order.units from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" namespace Int theorem isUnit_iff_abs_eq {x : ℤ} : IsUnit x ↔ abs x = 1 := by rw [isUnit_iff_natAbs_eq, abs_eq_natAbs, ← Int.ofNat_one, natCast_inj] #align int.is_unit_iff_abs_eq Int.isUnit_iff_abs_eq theorem isUnit_sq {a : ℤ} (ha : IsUnit a) : a ^ 2 = 1 := by rw [sq, isUnit_mul_self ha] #align int.is_unit_sq Int.isUnit_sq @[simp] theorem units_sq (u : ℤˣ) : u ^ 2 = 1 := by rw [Units.ext_iff, Units.val_pow_eq_pow_val, Units.val_one, isUnit_sq u.isUnit] #align int.units_sq Int.units_sq alias units_pow_two := units_sq #align int.units_pow_two Int.units_pow_two @[simp] theorem units_mul_self (u : ℤˣ) : u * u = 1 := by rw [← sq, units_sq] #align int.units_mul_self Int.units_mul_self @[simp] theorem units_inv_eq_self (u : ℤˣ) : u⁻¹ = u := by rw [inv_eq_iff_mul_eq_one, units_mul_self] #align int.units_inv_eq_self Int.units_inv_eq_self theorem units_div_eq_mul (u₁ u₂ : ℤˣ) : u₁ / u₂ = u₁ * u₂ := by rw [div_eq_mul_inv, units_inv_eq_self] -- `Units.val_mul` is a "wrong turn" for the simplifier, this undoes it and simplifies further @[simp] theorem units_coe_mul_self (u : ℤˣ) : (u * u : ℤ) = 1 := by rw [← Units.val_mul, units_mul_self, Units.val_one] #align int.units_coe_mul_self Int.units_coe_mul_self theorem neg_one_pow_ne_zero {n : ℕ} : (-1 : ℤ) ^ n ≠ 0 := by simp #align int.neg_one_pow_ne_zero Int.neg_one_pow_ne_zero theorem sq_eq_one_of_sq_lt_four {x : ℤ} (h1 : x ^ 2 < 4) (h2 : x ≠ 0) : x ^ 2 = 1 := sq_eq_one_iff.mpr ((abs_eq (zero_le_one' ℤ)).mp (le_antisymm (lt_add_one_iff.mp (abs_lt_of_sq_lt_sq h1 zero_le_two)) (sub_one_lt_iff.mp (abs_pos.mpr h2)))) #align int.sq_eq_one_of_sq_lt_four Int.sq_eq_one_of_sq_lt_four theorem sq_eq_one_of_sq_le_three {x : ℤ} (h1 : x ^ 2 ≤ 3) (h2 : x ≠ 0) : x ^ 2 = 1 := sq_eq_one_of_sq_lt_four (lt_of_le_of_lt h1 (lt_add_one (3 : ℤ))) h2 #align int.sq_eq_one_of_sq_le_three Int.sq_eq_one_of_sq_le_three
Mathlib/Data/Int/Order/Units.lean
63
67
theorem units_pow_eq_pow_mod_two (u : ℤˣ) (n : ℕ) : u ^ n = u ^ (n % 2) := by
conv => lhs rw [← Nat.mod_add_div n 2]; rw [pow_add, pow_mul, units_sq, one_pow, mul_one]
import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Sum import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Polynomial.Pochhammer #align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Nat (choose) open Polynomial (X) open scoped Polynomial variable (R : Type*) [CommRing R] def bernsteinPolynomial (n ν : ℕ) : R[X] := (choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) #align bernstein_polynomial bernsteinPolynomial example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by norm_num [bernsteinPolynomial, choose] ring namespace bernsteinPolynomial theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h] #align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt section variable {R} {S : Type*} [CommRing S] @[simp] theorem map (f : R →+* S) (n ν : ℕ) : (bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial] #align bernstein_polynomial.map bernsteinPolynomial.map end theorem flip (n ν : ℕ) (h : ν ≤ n) : (bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm] #align bernstein_polynomial.flip bernsteinPolynomial.flip theorem flip' (n ν : ℕ) (h : ν ≤ n) : bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by simp [← flip _ _ _ h, Polynomial.comp_assoc] #align bernstein_polynomial.flip' bernsteinPolynomial.flip' theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by rw [bernsteinPolynomial] split_ifs with h · subst h; simp · simp [zero_pow h] #align bernstein_polynomial.eval_at_0 bernsteinPolynomial.eval_at_0 theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by rw [bernsteinPolynomial] split_ifs with h · subst h; simp · obtain hνn | hnν := Ne.lt_or_lt h · simp [zero_pow $ Nat.sub_ne_zero_of_lt hνn] · simp [Nat.choose_eq_zero_of_lt hnν] #align bernstein_polynomial.eval_at_1 bernsteinPolynomial.eval_at_1
Mathlib/RingTheory/Polynomial/Bernstein.lean
102
131
theorem derivative_succ_aux (n ν : ℕ) : Polynomial.derivative (bernsteinPolynomial R (n + 1) (ν + 1)) = (n + 1) * (bernsteinPolynomial R n ν - bernsteinPolynomial R n (ν + 1)) := by
rw [bernsteinPolynomial] suffices ((n + 1).choose (ν + 1) : R[X]) * ((↑(ν + 1 : ℕ) : R[X]) * X ^ ν) * (1 - X) ^ (n - ν) - ((n + 1).choose (ν + 1) : R[X]) * X ^ (ν + 1) * ((↑(n - ν) : R[X]) * (1 - X) ^ (n - ν - 1)) = (↑(n + 1) : R[X]) * ((n.choose ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) - (n.choose (ν + 1) : R[X]) * X ^ (ν + 1) * (1 - X) ^ (n - (ν + 1))) by simpa [Polynomial.derivative_pow, ← sub_eq_add_neg, Nat.succ_sub_succ_eq_sub, Polynomial.derivative_mul, Polynomial.derivative_natCast, zero_mul, Nat.cast_add, algebraMap.coe_one, Polynomial.derivative_X, mul_one, zero_add, Polynomial.derivative_sub, Polynomial.derivative_one, zero_sub, mul_neg, Nat.sub_zero, bernsteinPolynomial, map_add, map_natCast, Nat.cast_one] conv_rhs => rw [mul_sub] -- We'll prove the two terms match up separately. refine congr (congr_arg Sub.sub ?_) ?_ · simp only [← mul_assoc] apply congr (congr_arg (· * ·) (congr (congr_arg (· * ·) _) rfl)) rfl -- Now it's just about binomial coefficients exact mod_cast congr_arg (fun m : ℕ => (m : R[X])) (Nat.succ_mul_choose_eq n ν).symm · rw [← tsub_add_eq_tsub_tsub, ← mul_assoc, ← mul_assoc]; congr 1 rw [mul_comm, ← mul_assoc, ← mul_assoc]; congr 1 norm_cast congr 1 convert (Nat.choose_mul_succ_eq n (ν + 1)).symm using 1 · -- Porting note: was -- convert mul_comm _ _ using 2 -- simp rw [mul_comm, Nat.succ_sub_succ_eq_sub] · apply mul_comm
import Mathlib.FieldTheory.Separable import Mathlib.RingTheory.IntegralDomain import Mathlib.Algebra.CharP.Reduced import Mathlib.Tactic.ApplyFun #align_import field_theory.finite.basic from "leanprover-community/mathlib"@"12a85fac627bea918960da036049d611b1a3ee43" variable {K : Type*} {R : Type*} local notation "q" => Fintype.card K open Finset open scoped Polynomial namespace FiniteField theorem prod_univ_units_id_eq_neg_one [CommRing K] [IsDomain K] [Fintype Kˣ] : ∏ x : Kˣ, x = (-1 : Kˣ) := by classical have : (∏ x ∈ (@univ Kˣ _).erase (-1), x) = 1 := prod_involution (fun x _ => x⁻¹) (by simp) (fun a => by simp (config := { contextual := true }) [Units.inv_eq_self_iff]) (fun a => by simp [@inv_eq_iff_eq_inv _ _ a]) (by simp) rw [← insert_erase (mem_univ (-1 : Kˣ)), prod_insert (not_mem_erase _ _), this, mul_one] #align finite_field.prod_univ_units_id_eq_neg_one FiniteField.prod_univ_units_id_eq_neg_one set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 theorem card_cast_subgroup_card_ne_zero [Ring K] [NoZeroDivisors K] [Nontrivial K] (G : Subgroup Kˣ) [Fintype G] : (Fintype.card G : K) ≠ 0 := by let n := Fintype.card G intro nzero have ⟨p, char_p⟩ := CharP.exists K have hd : p ∣ n := (CharP.cast_eq_zero_iff K p n).mp nzero cases CharP.char_is_prime_or_zero K p with | inr pzero => exact (Fintype.card_pos).ne' <| Nat.eq_zero_of_zero_dvd <| pzero ▸ hd | inl pprime => have fact_pprime := Fact.mk pprime -- G has an element x of order p by Cauchy's theorem have ⟨x, hx⟩ := exists_prime_orderOf_dvd_card p hd -- F has an element u (= ↑↑x) of order p let u := ((x : Kˣ) : K) have hu : orderOf u = p := by rwa [orderOf_units, Subgroup.orderOf_coe] -- u ^ p = 1 implies (u - 1) ^ p = 0 and hence u = 1 ... have h : u = 1 := by rw [← sub_left_inj, sub_self 1] apply pow_eq_zero (n := p) rw [sub_pow_char_of_commute, one_pow, ← hu, pow_orderOf_eq_one, sub_self] exact Commute.one_right u -- ... meaning x didn't have order p after all, contradiction apply pprime.one_lt.ne rw [← hu, h, orderOf_one]
Mathlib/FieldTheory/Finite/Basic.lean
142
164
theorem sum_subgroup_units_eq_zero [Ring K] [NoZeroDivisors K] {G : Subgroup Kˣ} [Fintype G] (hg : G ≠ ⊥) : ∑ x : G, (x.val : K) = 0 := by
rw [Subgroup.ne_bot_iff_exists_ne_one] at hg rcases hg with ⟨a, ha⟩ -- The action of a on G as an embedding let a_mul_emb : G ↪ G := mulLeftEmbedding a -- ... and leaves G unchanged have h_unchanged : Finset.univ.map a_mul_emb = Finset.univ := by simp -- Therefore the sum of x over a G is the sum of a x over G have h_sum_map := Finset.univ.sum_map a_mul_emb fun x => ((x : Kˣ) : K) -- ... and the former is the sum of x over G. -- By algebraic manipulation, we have Σ G, x = ∑ G, a x = a ∑ G, x simp only [a_mul_emb, h_unchanged, Function.Embedding.coeFn_mk, Function.Embedding.toFun_eq_coe, mulLeftEmbedding_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul, ← Finset.mul_sum] at h_sum_map -- thus one of (a - 1) or ∑ G, x is zero have hzero : (((a : Kˣ) : K) - 1) = 0 ∨ ∑ x : ↥G, ((x : Kˣ) : K) = 0 := by rw [← mul_eq_zero, sub_mul, ← h_sum_map, one_mul, sub_self] apply Or.resolve_left hzero contrapose! ha ext rwa [← sub_eq_zero]
import Mathlib.MeasureTheory.Integral.Lebesgue open Set hiding restrict restrict_apply open Filter ENNReal NNReal MeasureTheory.Measure namespace MeasureTheory variable {α : Type*} {m0 : MeasurableSpace α} {μ : Measure α} noncomputable def Measure.withDensity {m : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : Measure α := Measure.ofMeasurable (fun s _ => ∫⁻ a in s, f a ∂μ) (by simp) fun s hs hd => lintegral_iUnion hs hd _ #align measure_theory.measure.with_density MeasureTheory.Measure.withDensity @[simp] theorem withDensity_apply (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) : μ.withDensity f s = ∫⁻ a in s, f a ∂μ := Measure.ofMeasurable_apply s hs #align measure_theory.with_density_apply MeasureTheory.withDensity_apply theorem withDensity_apply_le (f : α → ℝ≥0∞) (s : Set α) : ∫⁻ a in s, f a ∂μ ≤ μ.withDensity f s := by let t := toMeasurable (μ.withDensity f) s calc ∫⁻ a in s, f a ∂μ ≤ ∫⁻ a in t, f a ∂μ := lintegral_mono_set (subset_toMeasurable (withDensity μ f) s) _ = μ.withDensity f t := (withDensity_apply f (measurableSet_toMeasurable (withDensity μ f) s)).symm _ = μ.withDensity f s := measure_toMeasurable s theorem withDensity_apply' [SFinite μ] (f : α → ℝ≥0∞) (s : Set α) : μ.withDensity f s = ∫⁻ a in s, f a ∂μ := by apply le_antisymm ?_ (withDensity_apply_le f s) let t := toMeasurable μ s calc μ.withDensity f s ≤ μ.withDensity f t := measure_mono (subset_toMeasurable μ s) _ = ∫⁻ a in t, f a ∂μ := withDensity_apply f (measurableSet_toMeasurable μ s) _ = ∫⁻ a in s, f a ∂μ := by congr 1; exact restrict_toMeasurable_of_sFinite s @[simp] lemma withDensity_zero_left (f : α → ℝ≥0∞) : (0 : Measure α).withDensity f = 0 := by ext s hs rw [withDensity_apply _ hs] simp theorem withDensity_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : μ.withDensity f = μ.withDensity g := by refine Measure.ext fun s hs => ?_ rw [withDensity_apply _ hs, withDensity_apply _ hs] exact lintegral_congr_ae (ae_restrict_of_ae h) #align measure_theory.with_density_congr_ae MeasureTheory.withDensity_congr_ae lemma withDensity_mono {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) : μ.withDensity f ≤ μ.withDensity g := by refine le_iff.2 fun s hs ↦ ?_ rw [withDensity_apply _ hs, withDensity_apply _ hs] refine set_lintegral_mono_ae' hs ?_ filter_upwards [hfg] with x h_le using fun _ ↦ h_le theorem withDensity_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) : μ.withDensity (f + g) = μ.withDensity f + μ.withDensity g := by refine Measure.ext fun s hs => ?_ rw [withDensity_apply _ hs, Measure.add_apply, withDensity_apply _ hs, withDensity_apply _ hs, ← lintegral_add_left hf] simp only [Pi.add_apply] #align measure_theory.with_density_add_left MeasureTheory.withDensity_add_left theorem withDensity_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) : μ.withDensity (f + g) = μ.withDensity f + μ.withDensity g := by simpa only [add_comm] using withDensity_add_left hg f #align measure_theory.with_density_add_right MeasureTheory.withDensity_add_right
Mathlib/MeasureTheory/Measure/WithDensity.lean
110
113
theorem withDensity_add_measure {m : MeasurableSpace α} (μ ν : Measure α) (f : α → ℝ≥0∞) : (μ + ν).withDensity f = μ.withDensity f + ν.withDensity f := by
ext1 s hs simp only [withDensity_apply f hs, restrict_add, lintegral_add_measure, Measure.add_apply]
import Mathlib.Analysis.InnerProductSpace.TwoDim import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic #align_import geometry.euclidean.angle.oriented.basic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "ω" => o.areaForm def oangle (x y : V) : Real.Angle := Complex.arg (o.kahler x y) #align orientation.oangle Orientation.oangle theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) : ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_ · exact o.kahler_ne_zero hx1 hx2 exact ((continuous_ofReal.comp continuous_inner).add ((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt #align orientation.continuous_at_oangle Orientation.continuousAt_oangle @[simp] theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle] #align orientation.oangle_zero_left Orientation.oangle_zero_left @[simp] theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle] #align orientation.oangle_zero_right Orientation.oangle_zero_right @[simp] theorem oangle_self (x : V) : o.oangle x x = 0 := by rw [oangle, kahler_apply_self, ← ofReal_pow] convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π)) apply arg_ofReal_of_nonneg positivity #align orientation.oangle_self Orientation.oangle_self theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by rintro rfl; simp at h #align orientation.left_ne_zero_of_oangle_ne_zero Orientation.left_ne_zero_of_oangle_ne_zero theorem right_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : y ≠ 0 := by rintro rfl; simp at h #align orientation.right_ne_zero_of_oangle_ne_zero Orientation.right_ne_zero_of_oangle_ne_zero theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by rintro rfl; simp at h #align orientation.ne_of_oangle_ne_zero Orientation.ne_of_oangle_ne_zero theorem left_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ 0 := o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0) #align orientation.left_ne_zero_of_oangle_eq_pi Orientation.left_ne_zero_of_oangle_eq_pi theorem right_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : y ≠ 0 := o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0) #align orientation.right_ne_zero_of_oangle_eq_pi Orientation.right_ne_zero_of_oangle_eq_pi theorem ne_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ y := o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0) #align orientation.ne_of_oangle_eq_pi Orientation.ne_of_oangle_eq_pi theorem left_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ 0 := o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0) #align orientation.left_ne_zero_of_oangle_eq_pi_div_two Orientation.left_ne_zero_of_oangle_eq_pi_div_two theorem right_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : y ≠ 0 := o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0) #align orientation.right_ne_zero_of_oangle_eq_pi_div_two Orientation.right_ne_zero_of_oangle_eq_pi_div_two theorem ne_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ y := o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0) #align orientation.ne_of_oangle_eq_pi_div_two Orientation.ne_of_oangle_eq_pi_div_two theorem left_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ 0 := o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0) #align orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two theorem right_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : y ≠ 0 := o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0) #align orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two theorem ne_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ y := o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0) #align orientation.ne_of_oangle_eq_neg_pi_div_two Orientation.ne_of_oangle_eq_neg_pi_div_two theorem left_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ 0 := o.left_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1 #align orientation.left_ne_zero_of_oangle_sign_ne_zero Orientation.left_ne_zero_of_oangle_sign_ne_zero theorem right_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : y ≠ 0 := o.right_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1 #align orientation.right_ne_zero_of_oangle_sign_ne_zero Orientation.right_ne_zero_of_oangle_sign_ne_zero theorem ne_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ y := o.ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1 #align orientation.ne_of_oangle_sign_ne_zero Orientation.ne_of_oangle_sign_ne_zero theorem left_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ 0 := o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0) #align orientation.left_ne_zero_of_oangle_sign_eq_one Orientation.left_ne_zero_of_oangle_sign_eq_one theorem right_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : y ≠ 0 := o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0) #align orientation.right_ne_zero_of_oangle_sign_eq_one Orientation.right_ne_zero_of_oangle_sign_eq_one theorem ne_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ y := o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0) #align orientation.ne_of_oangle_sign_eq_one Orientation.ne_of_oangle_sign_eq_one theorem left_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ 0 := o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0) #align orientation.left_ne_zero_of_oangle_sign_eq_neg_one Orientation.left_ne_zero_of_oangle_sign_eq_neg_one theorem right_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : y ≠ 0 := o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0) #align orientation.right_ne_zero_of_oangle_sign_eq_neg_one Orientation.right_ne_zero_of_oangle_sign_eq_neg_one theorem ne_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ y := o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0) #align orientation.ne_of_oangle_sign_eq_neg_one Orientation.ne_of_oangle_sign_eq_neg_one theorem oangle_rev (x y : V) : o.oangle y x = -o.oangle x y := by simp only [oangle, o.kahler_swap y x, Complex.arg_conj_coe_angle] #align orientation.oangle_rev Orientation.oangle_rev @[simp] theorem oangle_add_oangle_rev (x y : V) : o.oangle x y + o.oangle y x = 0 := by simp [o.oangle_rev y x] #align orientation.oangle_add_oangle_rev Orientation.oangle_add_oangle_rev theorem oangle_neg_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : o.oangle (-x) y = o.oangle x y + π := by simp only [oangle, map_neg] convert Complex.arg_neg_coe_angle _ exact o.kahler_ne_zero hx hy #align orientation.oangle_neg_left Orientation.oangle_neg_left theorem oangle_neg_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : o.oangle x (-y) = o.oangle x y + π := by simp only [oangle, map_neg] convert Complex.arg_neg_coe_angle _ exact o.kahler_ne_zero hx hy #align orientation.oangle_neg_right Orientation.oangle_neg_right @[simp] theorem two_zsmul_oangle_neg_left (x y : V) : (2 : ℤ) • o.oangle (-x) y = (2 : ℤ) • o.oangle x y := by by_cases hx : x = 0 · simp [hx] · by_cases hy : y = 0 · simp [hy] · simp [o.oangle_neg_left hx hy] #align orientation.two_zsmul_oangle_neg_left Orientation.two_zsmul_oangle_neg_left @[simp] theorem two_zsmul_oangle_neg_right (x y : V) : (2 : ℤ) • o.oangle x (-y) = (2 : ℤ) • o.oangle x y := by by_cases hx : x = 0 · simp [hx] · by_cases hy : y = 0 · simp [hy] · simp [o.oangle_neg_right hx hy] #align orientation.two_zsmul_oangle_neg_right Orientation.two_zsmul_oangle_neg_right @[simp] theorem oangle_neg_neg (x y : V) : o.oangle (-x) (-y) = o.oangle x y := by simp [oangle] #align orientation.oangle_neg_neg Orientation.oangle_neg_neg theorem oangle_neg_left_eq_neg_right (x y : V) : o.oangle (-x) y = o.oangle x (-y) := by rw [← neg_neg y, oangle_neg_neg, neg_neg] #align orientation.oangle_neg_left_eq_neg_right Orientation.oangle_neg_left_eq_neg_right @[simp] theorem oangle_neg_self_left {x : V} (hx : x ≠ 0) : o.oangle (-x) x = π := by simp [oangle_neg_left, hx] #align orientation.oangle_neg_self_left Orientation.oangle_neg_self_left @[simp] theorem oangle_neg_self_right {x : V} (hx : x ≠ 0) : o.oangle x (-x) = π := by simp [oangle_neg_right, hx] #align orientation.oangle_neg_self_right Orientation.oangle_neg_self_right -- @[simp] -- Porting note (#10618): simp can prove this theorem two_zsmul_oangle_neg_self_left (x : V) : (2 : ℤ) • o.oangle (-x) x = 0 := by by_cases hx : x = 0 <;> simp [hx] #align orientation.two_zsmul_oangle_neg_self_left Orientation.two_zsmul_oangle_neg_self_left -- @[simp] -- Porting note (#10618): simp can prove this theorem two_zsmul_oangle_neg_self_right (x : V) : (2 : ℤ) • o.oangle x (-x) = 0 := by by_cases hx : x = 0 <;> simp [hx] #align orientation.two_zsmul_oangle_neg_self_right Orientation.two_zsmul_oangle_neg_self_right @[simp] theorem oangle_add_oangle_rev_neg_left (x y : V) : o.oangle (-x) y + o.oangle (-y) x = 0 := by rw [oangle_neg_left_eq_neg_right, oangle_rev, add_left_neg] #align orientation.oangle_add_oangle_rev_neg_left Orientation.oangle_add_oangle_rev_neg_left @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean
285
286
theorem oangle_add_oangle_rev_neg_right (x y : V) : o.oangle x (-y) + o.oangle y (-x) = 0 := by
rw [o.oangle_rev (-x), oangle_neg_left_eq_neg_right, add_neg_self]
import Mathlib.Algebra.Periodic import Mathlib.Data.Nat.Count import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.periodic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" namespace Nat open Nat Function theorem periodic_gcd (a : ℕ) : Periodic (gcd a) a := by simp only [forall_const, gcd_add_self_right, eq_self_iff_true, Periodic] #align nat.periodic_gcd Nat.periodic_gcd theorem periodic_coprime (a : ℕ) : Periodic (Coprime a) a := by simp only [coprime_add_self_right, forall_const, iff_self_iff, eq_iff_iff, Periodic] #align nat.periodic_coprime Nat.periodic_coprime
Mathlib/Data/Nat/Periodic.lean
33
34
theorem periodic_mod (a : ℕ) : Periodic (fun n => n % a) a := by
simp only [forall_const, eq_self_iff_true, add_mod_right, Periodic]
import Mathlib.Data.Set.Prod import Mathlib.Logic.Function.Conjugate #align_import data.set.function from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207" variable {α β γ : Type*} {ι : Sort*} {π : α → Type*} open Equiv Equiv.Perm Function namespace Set section restrict def restrict (s : Set α) (f : ∀ a : α, π a) : ∀ a : s, π a := fun x => f x #align set.restrict Set.restrict theorem restrict_eq (f : α → β) (s : Set α) : s.restrict f = f ∘ Subtype.val := rfl #align set.restrict_eq Set.restrict_eq @[simp] theorem restrict_apply (f : α → β) (s : Set α) (x : s) : s.restrict f x = f x := rfl #align set.restrict_apply Set.restrict_apply theorem restrict_eq_iff {f : ∀ a, π a} {s : Set α} {g : ∀ a : s, π a} : restrict s f = g ↔ ∀ (a) (ha : a ∈ s), f a = g ⟨a, ha⟩ := funext_iff.trans Subtype.forall #align set.restrict_eq_iff Set.restrict_eq_iff theorem eq_restrict_iff {s : Set α} {f : ∀ a : s, π a} {g : ∀ a, π a} : f = restrict s g ↔ ∀ (a) (ha : a ∈ s), f ⟨a, ha⟩ = g a := funext_iff.trans Subtype.forall #align set.eq_restrict_iff Set.eq_restrict_iff @[simp] theorem range_restrict (f : α → β) (s : Set α) : Set.range (s.restrict f) = f '' s := (range_comp _ _).trans <| congr_arg (f '' ·) Subtype.range_coe #align set.range_restrict Set.range_restrict
Mathlib/Data/Set/Function.lean
74
76
theorem image_restrict (f : α → β) (s t : Set α) : s.restrict f '' (Subtype.val ⁻¹' t) = f '' (t ∩ s) := by
rw [restrict_eq, image_comp, image_preimage_eq_inter_range, Subtype.range_coe]
import Mathlib.Algebra.GCDMonoid.Multiset import Mathlib.Combinatorics.Enumerative.Partition import Mathlib.Data.List.Rotate import Mathlib.GroupTheory.Perm.Cycle.Factors import Mathlib.GroupTheory.Perm.Closure import Mathlib.Algebra.GCDMonoid.Nat import Mathlib.Tactic.NormNum.GCD #align_import group_theory.perm.cycle.type from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722" namespace Equiv.Perm open Equiv List Multiset variable {α : Type*} [Fintype α] section CycleType variable [DecidableEq α] def cycleType (σ : Perm α) : Multiset ℕ := σ.cycleFactorsFinset.1.map (Finset.card ∘ support) #align equiv.perm.cycle_type Equiv.Perm.cycleType theorem cycleType_def (σ : Perm α) : σ.cycleType = σ.cycleFactorsFinset.1.map (Finset.card ∘ support) := rfl #align equiv.perm.cycle_type_def Equiv.Perm.cycleType_def theorem cycleType_eq' {σ : Perm α} (s : Finset (Perm α)) (h1 : ∀ f : Perm α, f ∈ s → f.IsCycle) (h2 : (s : Set (Perm α)).Pairwise Disjoint) (h0 : s.noncommProd id (h2.imp fun _ _ => Disjoint.commute) = σ) : σ.cycleType = s.1.map (Finset.card ∘ support) := by rw [cycleType_def] congr rw [cycleFactorsFinset_eq_finset] exact ⟨h1, h2, h0⟩ #align equiv.perm.cycle_type_eq' Equiv.Perm.cycleType_eq' theorem cycleType_eq {σ : Perm α} (l : List (Perm α)) (h0 : l.prod = σ) (h1 : ∀ σ : Perm α, σ ∈ l → σ.IsCycle) (h2 : l.Pairwise Disjoint) : σ.cycleType = l.map (Finset.card ∘ support) := by have hl : l.Nodup := nodup_of_pairwise_disjoint_cycles h1 h2 rw [cycleType_eq' l.toFinset] · simp [List.dedup_eq_self.mpr hl, (· ∘ ·)] · simpa using h1 · simpa [hl] using h2 · simp [hl, h0] #align equiv.perm.cycle_type_eq Equiv.Perm.cycleType_eq @[simp] -- Porting note: new attr theorem cycleType_eq_zero {σ : Perm α} : σ.cycleType = 0 ↔ σ = 1 := by simp [cycleType_def, cycleFactorsFinset_eq_empty_iff] #align equiv.perm.cycle_type_eq_zero Equiv.Perm.cycleType_eq_zero @[simp] -- Porting note: new attr theorem cycleType_one : (1 : Perm α).cycleType = 0 := cycleType_eq_zero.2 rfl #align equiv.perm.cycle_type_one Equiv.Perm.cycleType_one theorem card_cycleType_eq_zero {σ : Perm α} : Multiset.card σ.cycleType = 0 ↔ σ = 1 := by rw [card_eq_zero, cycleType_eq_zero] #align equiv.perm.card_cycle_type_eq_zero Equiv.Perm.card_cycleType_eq_zero theorem card_cycleType_pos {σ : Perm α} : 0 < Multiset.card σ.cycleType ↔ σ ≠ 1 := pos_iff_ne_zero.trans card_cycleType_eq_zero.not theorem two_le_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : 2 ≤ n := by simp only [cycleType_def, ← Finset.mem_def, Function.comp_apply, Multiset.mem_map, mem_cycleFactorsFinset_iff] at h obtain ⟨_, ⟨hc, -⟩, rfl⟩ := h exact hc.two_le_card_support #align equiv.perm.two_le_of_mem_cycle_type Equiv.Perm.two_le_of_mem_cycleType theorem one_lt_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : 1 < n := two_le_of_mem_cycleType h #align equiv.perm.one_lt_of_mem_cycle_type Equiv.Perm.one_lt_of_mem_cycleType theorem IsCycle.cycleType {σ : Perm α} (hσ : IsCycle σ) : σ.cycleType = [σ.support.card] := cycleType_eq [σ] (mul_one σ) (fun _τ hτ => (congr_arg IsCycle (List.mem_singleton.mp hτ)).mpr hσ) (List.pairwise_singleton Disjoint σ) #align equiv.perm.is_cycle.cycle_type Equiv.Perm.IsCycle.cycleType theorem card_cycleType_eq_one {σ : Perm α} : Multiset.card σ.cycleType = 1 ↔ σ.IsCycle := by rw [card_eq_one] simp_rw [cycleType_def, Multiset.map_eq_singleton, ← Finset.singleton_val, Finset.val_inj, cycleFactorsFinset_eq_singleton_iff] constructor · rintro ⟨_, _, ⟨h, -⟩, -⟩ exact h · intro h use σ.support.card, σ simp [h] #align equiv.perm.card_cycle_type_eq_one Equiv.Perm.card_cycleType_eq_one theorem Disjoint.cycleType {σ τ : Perm α} (h : Disjoint σ τ) : (σ * τ).cycleType = σ.cycleType + τ.cycleType := by rw [cycleType_def, cycleType_def, cycleType_def, h.cycleFactorsFinset_mul_eq_union, ← Multiset.map_add, Finset.union_val, Multiset.add_eq_union_iff_disjoint.mpr _] exact Finset.disjoint_val.2 h.disjoint_cycleFactorsFinset #align equiv.perm.disjoint.cycle_type Equiv.Perm.Disjoint.cycleType @[simp] -- Porting note: new attr theorem cycleType_inv (σ : Perm α) : σ⁻¹.cycleType = σ.cycleType := cycle_induction_on (P := fun τ : Perm α => τ⁻¹.cycleType = τ.cycleType) σ rfl (fun σ hσ => by simp only [hσ.cycleType, hσ.inv.cycleType, support_inv]) fun σ τ hστ _ hσ hτ => by simp only [mul_inv_rev, hστ.cycleType, hστ.symm.inv_left.inv_right.cycleType, hσ, hτ, add_comm] #align equiv.perm.cycle_type_inv Equiv.Perm.cycleType_inv @[simp] -- Porting note: new attr theorem cycleType_conj {σ τ : Perm α} : (τ * σ * τ⁻¹).cycleType = σ.cycleType := by induction σ using cycle_induction_on with | base_one => simp | base_cycles σ hσ => rw [hσ.cycleType, hσ.conj.cycleType, card_support_conj] | induction_disjoint σ π hd _ hσ hπ => rw [← conj_mul, hd.cycleType, (hd.conj _).cycleType, hσ, hπ] #align equiv.perm.cycle_type_conj Equiv.Perm.cycleType_conj theorem sum_cycleType (σ : Perm α) : σ.cycleType.sum = σ.support.card := by induction σ using cycle_induction_on with | base_one => simp | base_cycles σ hσ => rw [hσ.cycleType, sum_coe, List.sum_singleton] | induction_disjoint σ τ hd _ hσ hτ => rw [hd.cycleType, sum_add, hσ, hτ, hd.card_support_mul] #align equiv.perm.sum_cycle_type Equiv.Perm.sum_cycleType theorem sign_of_cycleType' (σ : Perm α) : sign σ = (σ.cycleType.map fun n => -(-1 : ℤˣ) ^ n).prod := by induction σ using cycle_induction_on with | base_one => simp | base_cycles σ hσ => simp [hσ.cycleType, hσ.sign] | induction_disjoint σ τ hd _ hσ hτ => simp [hσ, hτ, hd.cycleType] #align equiv.perm.sign_of_cycle_type' Equiv.Perm.sign_of_cycleType'
Mathlib/GroupTheory/Perm/Cycle/Type.lean
162
168
theorem sign_of_cycleType (f : Perm α) : sign f = (-1 : ℤˣ) ^ (f.cycleType.sum + Multiset.card f.cycleType) := by
rw [sign_of_cycleType'] induction' f.cycleType using Multiset.induction_on with a s ihs · rfl · rw [Multiset.map_cons, Multiset.prod_cons, Multiset.sum_cons, Multiset.card_cons, ihs] simp only [pow_add, pow_one, mul_neg_one, neg_mul, mul_neg, mul_assoc, mul_one]
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))
Mathlib/Analysis/Distribution/SchwartzSpace.lean
145
153
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) _]
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Data.Rat.Denumerable import Mathlib.Data.Set.Pointwise.Interval import Mathlib.SetTheory.Cardinal.Continuum #align_import data.real.cardinality from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d" open Nat Set open Cardinal noncomputable section namespace Cardinal variable {c : ℝ} {f g : ℕ → Bool} {n : ℕ} def cantorFunctionAux (c : ℝ) (f : ℕ → Bool) (n : ℕ) : ℝ := cond (f n) (c ^ n) 0 #align cardinal.cantor_function_aux Cardinal.cantorFunctionAux @[simp] theorem cantorFunctionAux_true (h : f n = true) : cantorFunctionAux c f n = c ^ n := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_tt Cardinal.cantorFunctionAux_true @[simp] theorem cantorFunctionAux_false (h : f n = false) : cantorFunctionAux c f n = 0 := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_ff Cardinal.cantorFunctionAux_false theorem cantorFunctionAux_nonneg (h : 0 ≤ c) : 0 ≤ cantorFunctionAux c f n := by cases h' : f n <;> simp [h'] apply pow_nonneg h #align cardinal.cantor_function_aux_nonneg Cardinal.cantorFunctionAux_nonneg theorem cantorFunctionAux_eq (h : f n = g n) : cantorFunctionAux c f n = cantorFunctionAux c g n := by simp [cantorFunctionAux, h] #align cardinal.cantor_function_aux_eq Cardinal.cantorFunctionAux_eq theorem cantorFunctionAux_zero (f : ℕ → Bool) : cantorFunctionAux c f 0 = cond (f 0) 1 0 := by cases h : f 0 <;> simp [h] #align cardinal.cantor_function_aux_zero Cardinal.cantorFunctionAux_zero theorem cantorFunctionAux_succ (f : ℕ → Bool) : (fun n => cantorFunctionAux c f (n + 1)) = fun n => c * cantorFunctionAux c (fun n => f (n + 1)) n := by ext n cases h : f (n + 1) <;> simp [h, _root_.pow_succ'] #align cardinal.cantor_function_aux_succ Cardinal.cantorFunctionAux_succ theorem summable_cantor_function (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) : Summable (cantorFunctionAux c f) := by apply (summable_geometric_of_lt_one h1 h2).summable_of_eq_zero_or_self intro n; cases h : f n <;> simp [h] #align cardinal.summable_cantor_function Cardinal.summable_cantor_function def cantorFunction (c : ℝ) (f : ℕ → Bool) : ℝ := ∑' n, cantorFunctionAux c f n #align cardinal.cantor_function Cardinal.cantorFunction theorem cantorFunction_le (h1 : 0 ≤ c) (h2 : c < 1) (h3 : ∀ n, f n → g n) : cantorFunction c f ≤ cantorFunction c g := by apply tsum_le_tsum _ (summable_cantor_function f h1 h2) (summable_cantor_function g h1 h2) intro n; cases h : f n · simp [h, cantorFunctionAux_nonneg h1] replace h3 : g n = true := h3 n h; simp [h, h3] #align cardinal.cantor_function_le Cardinal.cantorFunction_le theorem cantorFunction_succ (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) : cantorFunction c f = cond (f 0) 1 0 + c * cantorFunction c fun n => f (n + 1) := by rw [cantorFunction, tsum_eq_zero_add (summable_cantor_function f h1 h2)] rw [cantorFunctionAux_succ, tsum_mul_left, cantorFunctionAux, _root_.pow_zero] rfl #align cardinal.cantor_function_succ Cardinal.cantorFunction_succ
Mathlib/Data/Real/Cardinality.lean
123
164
theorem increasing_cantorFunction (h1 : 0 < c) (h2 : c < 1 / 2) {n : ℕ} {f g : ℕ → Bool} (hn : ∀ k < n, f k = g k) (fn : f n = false) (gn : g n = true) : cantorFunction c f < cantorFunction c g := by
have h3 : c < 1 := by apply h2.trans norm_num induction' n with n ih generalizing f g · let f_max : ℕ → Bool := fun n => Nat.rec false (fun _ _ => true) n have hf_max : ∀ n, f n → f_max n := by intro n hn cases n · rw [fn] at hn contradiction apply rfl let g_min : ℕ → Bool := fun n => Nat.rec true (fun _ _ => false) n have hg_min : ∀ n, g_min n → g n := by intro n hn cases n · rw [gn] simp at hn apply (cantorFunction_le (le_of_lt h1) h3 hf_max).trans_lt refine lt_of_lt_of_le ?_ (cantorFunction_le (le_of_lt h1) h3 hg_min) have : c / (1 - c) < 1 := by rw [div_lt_one, lt_sub_iff_add_lt] · convert _root_.add_lt_add h2 h2 norm_num rwa [sub_pos] convert this · rw [cantorFunction_succ _ (le_of_lt h1) h3, div_eq_mul_inv, ← tsum_geometric_of_lt_one (le_of_lt h1) h3] apply zero_add · refine (tsum_eq_single 0 ?_).trans ?_ · intro n hn cases n · contradiction rfl · exact cantorFunctionAux_zero _ rw [cantorFunction_succ f (le_of_lt h1) h3, cantorFunction_succ g (le_of_lt h1) h3] rw [hn 0 <| zero_lt_succ n] apply add_lt_add_left rw [mul_lt_mul_left h1] exact ih (fun k hk => hn _ <| Nat.succ_lt_succ hk) fn gn
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Group.Measure #align_import measure_theory.group.prod from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set hiding prod_eq open Function MeasureTheory open Filter hiding map open scoped Classical ENNReal Pointwise MeasureTheory variable (G : Type*) [MeasurableSpace G] variable [Group G] [MeasurableMul₂ G] variable (μ ν : Measure G) [SigmaFinite ν] [SigmaFinite μ] {s : Set G} @[to_additive "The map `(x, y) ↦ (x, x + y)` as a `MeasurableEquiv`."] protected def MeasurableEquiv.shearMulRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with measurable_toFun := measurable_fst.prod_mk measurable_mul measurable_invFun := measurable_fst.prod_mk <| measurable_fst.inv.mul measurable_snd } #align measurable_equiv.shear_mul_right MeasurableEquiv.shearMulRight #align measurable_equiv.shear_add_right MeasurableEquiv.shearAddRight @[to_additive "The map `(x, y) ↦ (x, y - x)` as a `MeasurableEquiv` with as inverse `(x, y) ↦ (x, y + x)`."] protected def MeasurableEquiv.shearDivRight [MeasurableInv G] : G × G ≃ᵐ G × G := { Equiv.prodShear (Equiv.refl _) Equiv.divRight with measurable_toFun := measurable_fst.prod_mk <| measurable_snd.div measurable_fst measurable_invFun := measurable_fst.prod_mk <| measurable_snd.mul measurable_fst } #align measurable_equiv.shear_div_right MeasurableEquiv.shearDivRight #align measurable_equiv.shear_sub_right MeasurableEquiv.shearSubRight variable {G} namespace MeasureTheory open Measure section LeftInvariant @[to_additive measurePreserving_prod_add " The shear mapping `(x, y) ↦ (x, x + y)` preserves the measure `μ × ν`. "] theorem measurePreserving_prod_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1 * z.2)) (μ.prod ν) (μ.prod ν) := (MeasurePreserving.id μ).skew_product measurable_mul <| Filter.eventually_of_forall <| map_mul_left_eq_self ν #align measure_theory.measure_preserving_prod_mul MeasureTheory.measurePreserving_prod_mul #align measure_theory.measure_preserving_prod_add MeasureTheory.measurePreserving_prod_add @[to_additive measurePreserving_prod_add_swap " The map `(x, y) ↦ (y, y + x)` sends the measure `μ × ν` to `ν × μ`. "] theorem measurePreserving_prod_mul_swap [IsMulLeftInvariant μ] : MeasurePreserving (fun z : G × G => (z.2, z.2 * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_mul_swap MeasureTheory.measurePreserving_prod_mul_swap #align measure_theory.measure_preserving_prod_add_swap MeasureTheory.measurePreserving_prod_add_swap @[to_additive] theorem measurable_measure_mul_right (hs : MeasurableSet s) : Measurable fun x => μ ((fun y => y * x) ⁻¹' s) := by suffices Measurable fun y => μ ((fun x => (x, y)) ⁻¹' ((fun z : G × G => ((1 : G), z.1 * z.2)) ⁻¹' univ ×ˢ s)) by convert this using 1; ext1 x; congr 1 with y : 1; simp apply measurable_measure_prod_mk_right apply measurable_const.prod_mk measurable_mul (MeasurableSet.univ.prod hs) infer_instance #align measure_theory.measurable_measure_mul_right MeasureTheory.measurable_measure_mul_right #align measure_theory.measurable_measure_add_right MeasureTheory.measurable_measure_add_right variable [MeasurableInv G] @[to_additive measurePreserving_prod_neg_add "The map `(x, y) ↦ (x, - x + y)` is measure-preserving."] theorem measurePreserving_prod_inv_mul [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.1, z.1⁻¹ * z.2)) (μ.prod ν) (μ.prod ν) := (measurePreserving_prod_mul μ ν).symm <| MeasurableEquiv.shearMulRight G #align measure_theory.measure_preserving_prod_inv_mul MeasureTheory.measurePreserving_prod_inv_mul #align measure_theory.measure_preserving_prod_neg_add MeasureTheory.measurePreserving_prod_neg_add variable [IsMulLeftInvariant μ] @[to_additive measurePreserving_prod_neg_add_swap "The map `(x, y) ↦ (y, - y + x)` sends `μ × ν` to `ν × μ`."] theorem measurePreserving_prod_inv_mul_swap : MeasurePreserving (fun z : G × G => (z.2, z.2⁻¹ * z.1)) (μ.prod ν) (ν.prod μ) := (measurePreserving_prod_inv_mul ν μ).comp measurePreserving_swap #align measure_theory.measure_preserving_prod_inv_mul_swap MeasureTheory.measurePreserving_prod_inv_mul_swap #align measure_theory.measure_preserving_prod_neg_add_swap MeasureTheory.measurePreserving_prod_neg_add_swap @[to_additive measurePreserving_add_prod_neg "The map `(x, y) ↦ (y + x, - x)` is measure-preserving."] theorem measurePreserving_mul_prod_inv [IsMulLeftInvariant ν] : MeasurePreserving (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod ν) (μ.prod ν) := by convert (measurePreserving_prod_inv_mul_swap ν μ).comp (measurePreserving_prod_mul_swap μ ν) using 1 ext1 ⟨x, y⟩ simp_rw [Function.comp_apply, mul_inv_rev, inv_mul_cancel_right] #align measure_theory.measure_preserving_mul_prod_inv MeasureTheory.measurePreserving_mul_prod_inv #align measure_theory.measure_preserving_add_prod_neg MeasureTheory.measurePreserving_add_prod_neg @[to_additive] theorem quasiMeasurePreserving_inv : QuasiMeasurePreserving (Inv.inv : G → G) μ μ := by refine ⟨measurable_inv, AbsolutelyContinuous.mk fun s hsm hμs => ?_⟩ rw [map_apply measurable_inv hsm, inv_preimage] have hf : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) := (measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv suffices map (fun z : G × G => (z.2 * z.1, z.1⁻¹)) (μ.prod μ) (s⁻¹ ×ˢ s⁻¹) = 0 by simpa only [(measurePreserving_mul_prod_inv μ μ).map_eq, prod_prod, mul_eq_zero (M₀ := ℝ≥0∞), or_self_iff] using this have hsm' : MeasurableSet (s⁻¹ ×ˢ s⁻¹) := hsm.inv.prod hsm.inv simp_rw [map_apply hf hsm', prod_apply_symm (μ := μ) (ν := μ) (hf hsm'), preimage_preimage, mk_preimage_prod, inv_preimage, inv_inv, measure_mono_null inter_subset_right hμs, lintegral_zero] #align measure_theory.quasi_measure_preserving_inv MeasureTheory.quasiMeasurePreserving_inv #align measure_theory.quasi_measure_preserving_neg MeasureTheory.quasiMeasurePreserving_neg @[to_additive] theorem measure_inv_null : μ s⁻¹ = 0 ↔ μ s = 0 := by refine ⟨fun hs => ?_, (quasiMeasurePreserving_inv μ).preimage_null⟩ rw [← inv_inv s] exact (quasiMeasurePreserving_inv μ).preimage_null hs #align measure_theory.measure_inv_null MeasureTheory.measure_inv_null #align measure_theory.measure_neg_null MeasureTheory.measure_neg_null @[to_additive] theorem inv_absolutelyContinuous : μ.inv ≪ μ := (quasiMeasurePreserving_inv μ).absolutelyContinuous #align measure_theory.inv_absolutely_continuous MeasureTheory.inv_absolutelyContinuous #align measure_theory.neg_absolutely_continuous MeasureTheory.neg_absolutelyContinuous @[to_additive] theorem absolutelyContinuous_inv : μ ≪ μ.inv := by refine AbsolutelyContinuous.mk fun s _ => ?_ simp_rw [inv_apply μ s, measure_inv_null, imp_self] #align measure_theory.absolutely_continuous_inv MeasureTheory.absolutelyContinuous_inv #align measure_theory.absolutely_continuous_neg MeasureTheory.absolutelyContinuous_neg @[to_additive] theorem lintegral_lintegral_mul_inv [IsMulLeftInvariant ν] (f : G → G → ℝ≥0∞) (hf : AEMeasurable (uncurry f) (μ.prod ν)) : (∫⁻ x, ∫⁻ y, f (y * x) x⁻¹ ∂ν ∂μ) = ∫⁻ x, ∫⁻ y, f x y ∂ν ∂μ := by have h : Measurable fun z : G × G => (z.2 * z.1, z.1⁻¹) := (measurable_snd.mul measurable_fst).prod_mk measurable_fst.inv have h2f : AEMeasurable (uncurry fun x y => f (y * x) x⁻¹) (μ.prod ν) := hf.comp_quasiMeasurePreserving (measurePreserving_mul_prod_inv μ ν).quasiMeasurePreserving simp_rw [lintegral_lintegral h2f, lintegral_lintegral hf] conv_rhs => rw [← (measurePreserving_mul_prod_inv μ ν).map_eq] symm exact lintegral_map' (hf.mono' (measurePreserving_mul_prod_inv μ ν).map_eq.absolutelyContinuous) h.aemeasurable #align measure_theory.lintegral_lintegral_mul_inv MeasureTheory.lintegral_lintegral_mul_inv #align measure_theory.lintegral_lintegral_add_neg MeasureTheory.lintegral_lintegral_add_neg @[to_additive] theorem measure_mul_right_null (y : G) : μ ((fun x => x * y) ⁻¹' s) = 0 ↔ μ s = 0 := calc μ ((fun x => x * y) ⁻¹' s) = 0 ↔ μ ((fun x => y⁻¹ * x) ⁻¹' s⁻¹)⁻¹ = 0 := by simp_rw [← inv_preimage, preimage_preimage, mul_inv_rev, inv_inv] _ ↔ μ s = 0 := by simp only [measure_inv_null μ, measure_preimage_mul] #align measure_theory.measure_mul_right_null MeasureTheory.measure_mul_right_null #align measure_theory.measure_add_right_null MeasureTheory.measure_add_right_null @[to_additive] theorem measure_mul_right_ne_zero (h2s : μ s ≠ 0) (y : G) : μ ((fun x => x * y) ⁻¹' s) ≠ 0 := (not_congr (measure_mul_right_null μ y)).mpr h2s #align measure_theory.measure_mul_right_ne_zero MeasureTheory.measure_mul_right_ne_zero #align measure_theory.measure_add_right_ne_zero MeasureTheory.measure_add_right_ne_zero @[to_additive] theorem absolutelyContinuous_map_mul_right (g : G) : μ ≪ map (· * g) μ := by refine AbsolutelyContinuous.mk fun s hs => ?_ rw [map_apply (measurable_mul_const g) hs, measure_mul_right_null]; exact id #align measure_theory.absolutely_continuous_map_mul_right MeasureTheory.absolutelyContinuous_map_mul_right #align measure_theory.absolutely_continuous_map_add_right MeasureTheory.absolutelyContinuous_map_add_right @[to_additive] theorem absolutelyContinuous_map_div_left (g : G) : μ ≪ map (fun h => g / h) μ := by simp_rw [div_eq_mul_inv] erw [← map_map (measurable_const_mul g) measurable_inv] conv_lhs => rw [← map_mul_left_eq_self μ g] exact (absolutelyContinuous_inv μ).map (measurable_const_mul g) #align measure_theory.absolutely_continuous_map_div_left MeasureTheory.absolutelyContinuous_map_div_left #align measure_theory.absolutely_continuous_map_sub_left MeasureTheory.absolutelyContinuous_map_sub_left @[to_additive "This is the computation performed in the proof of [Halmos, §60 Th. A]."] theorem measure_mul_lintegral_eq [IsMulLeftInvariant ν] (sm : MeasurableSet s) (f : G → ℝ≥0∞) (hf : Measurable f) : (μ s * ∫⁻ y, f y ∂ν) = ∫⁻ x, ν ((fun z => z * x) ⁻¹' s) * f x⁻¹ ∂μ := by rw [← set_lintegral_one, ← lintegral_indicator _ sm, ← lintegral_lintegral_mul (measurable_const.indicator sm).aemeasurable hf.aemeasurable, ← lintegral_lintegral_mul_inv μ ν] swap · exact (((measurable_const.indicator sm).comp measurable_fst).mul (hf.comp measurable_snd)).aemeasurable have ms : ∀ x : G, Measurable fun y => ((fun z => z * x) ⁻¹' s).indicator (fun _ => (1 : ℝ≥0∞)) y := fun x => measurable_const.indicator (measurable_mul_const _ sm) have : ∀ x y, s.indicator (fun _ : G => (1 : ℝ≥0∞)) (y * x) = ((fun z => z * x) ⁻¹' s).indicator (fun b : G => 1) y := by intro x y; symm; convert indicator_comp_right (M := ℝ≥0∞) fun y => y * x using 2; ext1; rfl simp_rw [this, lintegral_mul_const _ (ms _), lintegral_indicator _ (measurable_mul_const _ sm), set_lintegral_one] #align measure_theory.measure_mul_lintegral_eq MeasureTheory.measure_mul_lintegral_eq #align measure_theory.measure_add_lintegral_eq MeasureTheory.measure_add_lintegral_eq @[to_additive " Any two nonzero left-invariant measures are absolutely continuous w.r.t. each other. "] theorem absolutelyContinuous_of_isMulLeftInvariant [IsMulLeftInvariant ν] (hν : ν ≠ 0) : μ ≪ ν := by refine AbsolutelyContinuous.mk fun s sm hνs => ?_ have h1 := measure_mul_lintegral_eq μ ν sm 1 measurable_one simp_rw [Pi.one_apply, lintegral_one, mul_one, (measure_mul_right_null ν _).mpr hνs, lintegral_zero, mul_eq_zero (M₀ := ℝ≥0∞), measure_univ_eq_zero.not.mpr hν, or_false_iff] at h1 exact h1 #align measure_theory.absolutely_continuous_of_is_mul_left_invariant MeasureTheory.absolutelyContinuous_of_isMulLeftInvariant #align measure_theory.absolutely_continuous_of_is_add_left_invariant MeasureTheory.absolutelyContinuous_of_isAddLeftInvariant @[to_additive]
Mathlib/MeasureTheory/Group/Prod.lean
279
291
theorem ae_measure_preimage_mul_right_lt_top [IsMulLeftInvariant ν] (sm : MeasurableSet s) (hμs : μ s ≠ ∞) : ∀ᵐ x ∂μ, ν ((fun y => y * x) ⁻¹' s) < ∞ := by
refine ae_of_forall_measure_lt_top_ae_restrict' ν.inv _ ?_ intro A hA _ h3A simp only [ν.inv_apply] at h3A apply ae_lt_top (measurable_measure_mul_right ν sm) have h1 := measure_mul_lintegral_eq μ ν sm (A⁻¹.indicator 1) (measurable_one.indicator hA.inv) rw [lintegral_indicator _ hA.inv] at h1 simp_rw [Pi.one_apply, set_lintegral_one, ← image_inv, indicator_image inv_injective, image_inv, ← indicator_mul_right _ fun x => ν ((fun y => y * x) ⁻¹' s), Function.comp, Pi.one_apply, mul_one] at h1 rw [← lintegral_indicator _ hA, ← h1] exact ENNReal.mul_ne_top hμs h3A.ne
import Mathlib.Data.List.Chain import Mathlib.Data.List.Enum import Mathlib.Data.List.Nodup import Mathlib.Data.List.Pairwise import Mathlib.Data.List.Zip #align_import data.list.range from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213" set_option autoImplicit true universe u open Nat namespace List variable {α : Type u} @[simp] theorem range'_one {step} : range' s 1 step = [s] := rfl #align list.length_range' List.length_range' #align list.range'_eq_nil List.range'_eq_nil #align list.mem_range' List.mem_range'_1 #align list.map_add_range' List.map_add_range' #align list.map_sub_range' List.map_sub_range' #align list.chain_succ_range' List.chain_succ_range' #align list.chain_lt_range' List.chain_lt_range' theorem pairwise_lt_range' : ∀ s n (step := 1) (_ : 0 < step := by simp), Pairwise (· < ·) (range' s n step) | _, 0, _, _ => Pairwise.nil | s, n + 1, _, h => chain_iff_pairwise.1 (chain_lt_range' s n h) #align list.pairwise_lt_range' List.pairwise_lt_range' theorem nodup_range' (s n : ℕ) (step := 1) (h : 0 < step := by simp) : Nodup (range' s n step) := (pairwise_lt_range' s n step h).imp _root_.ne_of_lt #align list.nodup_range' List.nodup_range' #align list.range'_append List.range'_append #align list.range'_sublist_right List.range'_sublist_right #align list.range'_subset_right List.range'_subset_right #align list.nth_range' List.get?_range' set_option linter.deprecated false in @[simp] theorem nthLe_range' {n m step} (i) (H : i < (range' n m step).length) : nthLe (range' n m step) i H = n + step * i := get_range' i H set_option linter.deprecated false in theorem nthLe_range'_1 {n m} (i) (H : i < (range' n m).length) : nthLe (range' n m) i H = n + i := by simp #align list.nth_le_range' List.nthLe_range'_1 #align list.range'_concat List.range'_concat #align list.range_core List.range.loop #align list.range_core_range' List.range_loop_range' #align list.range_eq_range' List.range_eq_range' #align list.range_succ_eq_map List.range_succ_eq_map #align list.range'_eq_map_range List.range'_eq_map_range #align list.length_range List.length_range #align list.range_eq_nil List.range_eq_nil theorem pairwise_lt_range (n : ℕ) : Pairwise (· < ·) (range n) := by simp (config := {decide := true}) only [range_eq_range', pairwise_lt_range'] #align list.pairwise_lt_range List.pairwise_lt_range theorem pairwise_le_range (n : ℕ) : Pairwise (· ≤ ·) (range n) := Pairwise.imp (@le_of_lt ℕ _) (pairwise_lt_range _) #align list.pairwise_le_range List.pairwise_le_range theorem take_range (m n : ℕ) : take m (range n) = range (min m n) := by apply List.ext_get · simp · simp (config := { contextual := true }) [← get_take, Nat.lt_min] theorem nodup_range (n : ℕ) : Nodup (range n) := by simp (config := {decide := true}) only [range_eq_range', nodup_range'] #align list.nodup_range List.nodup_range #align list.range_sublist List.range_sublist #align list.range_subset List.range_subset #align list.mem_range List.mem_range #align list.not_mem_range_self List.not_mem_range_self #align list.self_mem_range_succ List.self_mem_range_succ #align list.nth_range List.get?_range #align list.range_succ List.range_succ #align list.range_zero List.range_zero theorem chain'_range_succ (r : ℕ → ℕ → Prop) (n : ℕ) : Chain' r (range n.succ) ↔ ∀ m < n, r m m.succ := by rw [range_succ] induction' n with n hn · simp · rw [range_succ] simp only [append_assoc, singleton_append, chain'_append_cons_cons, chain'_singleton, and_true_iff] rw [hn, forall_lt_succ] #align list.chain'_range_succ List.chain'_range_succ
Mathlib/Data/List/Range.lean
115
118
theorem chain_range_succ (r : ℕ → ℕ → Prop) (n a : ℕ) : Chain r a (range n.succ) ↔ r a 0 ∧ ∀ m < n, r m m.succ := by
rw [range_succ_eq_map, chain_cons, and_congr_right_iff, ← chain'_range_succ, range_succ_eq_map] exact fun _ => Iff.rfl
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Nat.Prime #align_import data.nat.choose.dvd from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2" namespace Nat open Nat namespace Prime variable {p a b k : ℕ}
Mathlib/Data/Nat/Choose/Dvd.lean
24
29
theorem dvd_choose_add (hp : Prime p) (hap : a < p) (hbp : b < p) (h : p ≤ a + b) : p ∣ choose (a + b) a := by
have h₁ : p ∣ (a + b)! := hp.dvd_factorial.2 h rw [← add_choose_mul_factorial_mul_factorial, ← choose_symm_add, hp.dvd_mul, hp.dvd_mul, hp.dvd_factorial, hp.dvd_factorial] at h₁ exact (h₁.resolve_right hbp.not_le).resolve_right hap.not_le
import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Equiv import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.Monotone import Mathlib.Data.Set.Function import Mathlib.Algebra.Group.Basic import Mathlib.Tactic.WLOG #align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open scoped NNReal ENNReal Topology UniformConvergence open Set MeasureTheory Filter -- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E] noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ := ⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s }, ∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i)) #align evariation_on eVariationOn def BoundedVariationOn (f : α → E) (s : Set α) := eVariationOn f s ≠ ∞ #align has_bounded_variation_on BoundedVariationOn def LocallyBoundedVariationOn (f : α → E) (s : Set α) := ∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b) #align has_locally_bounded_variation_on LocallyBoundedVariationOn namespace eVariationOn theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by obtain ⟨x, hx⟩ := hs exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩ #align evariation_on.nonempty_monotone_mem eVariationOn.nonempty_monotone_mem theorem eq_of_edist_zero_on {f f' : α → E} {s : Set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) : eVariationOn f s = eVariationOn f' s := by dsimp only [eVariationOn] congr 1 with p : 1 congr 1 with i : 1 rw [edist_congr_right (h <| p.snd.prop.2 (i + 1)), edist_congr_left (h <| p.snd.prop.2 i)] #align evariation_on.eq_of_edist_zero_on eVariationOn.eq_of_edist_zero_on theorem eq_of_eqOn {f f' : α → E} {s : Set α} (h : EqOn f f' s) : eVariationOn f s = eVariationOn f' s := eq_of_edist_zero_on fun x xs => by rw [h xs, edist_self] #align evariation_on.eq_of_eq_on eVariationOn.eq_of_eqOn theorem sum_le (f : α → E) {s : Set α} (n : ℕ) {u : ℕ → α} (hu : Monotone u) (us : ∀ i, u i ∈ s) : (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := le_iSup_of_le ⟨n, u, hu, us⟩ le_rfl #align evariation_on.sum_le eVariationOn.sum_le theorem sum_le_of_monotoneOn_Icc (f : α → E) {s : Set α} {m n : ℕ} {u : ℕ → α} (hu : MonotoneOn u (Icc m n)) (us : ∀ i ∈ Icc m n, u i ∈ s) : (∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by rcases le_total n m with hnm | hmn · simp [Finset.Ico_eq_empty_of_le hnm] let π := projIcc m n hmn let v i := u (π i) calc ∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i)) = ∑ i ∈ Finset.Ico m n, edist (f (v (i + 1))) (f (v i)) := Finset.sum_congr rfl fun i hi ↦ by rw [Finset.mem_Ico] at hi simp only [v, π, projIcc_of_mem hmn ⟨hi.1, hi.2.le⟩, projIcc_of_mem hmn ⟨hi.1.trans i.le_succ, hi.2⟩] _ ≤ ∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) := Finset.sum_mono_set _ (Nat.Iio_eq_range ▸ Finset.Ico_subset_Iio_self) _ ≤ eVariationOn f s := sum_le _ _ (fun i j h ↦ hu (π i).2 (π j).2 (monotone_projIcc hmn h)) fun i ↦ us _ (π i).2 #align evariation_on.sum_le_of_monotone_on_Icc eVariationOn.sum_le_of_monotoneOn_Icc theorem sum_le_of_monotoneOn_Iic (f : α → E) {s : Set α} {n : ℕ} {u : ℕ → α} (hu : MonotoneOn u (Iic n)) (us : ∀ i ≤ n, u i ∈ s) : (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by simpa using sum_le_of_monotoneOn_Icc f (m := 0) (hu.mono Icc_subset_Iic_self) fun i hi ↦ us i hi.2 #align evariation_on.sum_le_of_monotone_on_Iic eVariationOn.sum_le_of_monotoneOn_Iic theorem mono (f : α → E) {s t : Set α} (hst : t ⊆ s) : eVariationOn f t ≤ eVariationOn f s := by apply iSup_le _ rintro ⟨n, ⟨u, hu, ut⟩⟩ exact sum_le f n hu fun i => hst (ut i) #align evariation_on.mono eVariationOn.mono theorem _root_.BoundedVariationOn.mono {f : α → E} {s : Set α} (h : BoundedVariationOn f s) {t : Set α} (ht : t ⊆ s) : BoundedVariationOn f t := ne_top_of_le_ne_top h (eVariationOn.mono f ht) #align has_bounded_variation_on.mono BoundedVariationOn.mono theorem _root_.BoundedVariationOn.locallyBoundedVariationOn {f : α → E} {s : Set α} (h : BoundedVariationOn f s) : LocallyBoundedVariationOn f s := fun _ _ _ _ => h.mono inter_subset_left #align has_bounded_variation_on.has_locally_bounded_variation_on BoundedVariationOn.locallyBoundedVariationOn theorem edist_le (f : α → E) {s : Set α} {x y : α} (hx : x ∈ s) (hy : y ∈ s) : edist (f x) (f y) ≤ eVariationOn f s := by wlog hxy : y ≤ x generalizing x y · rw [edist_comm] exact this hy hx (le_of_not_le hxy) let u : ℕ → α := fun n => if n = 0 then y else x have hu : Monotone u := monotone_nat_of_le_succ fun | 0 => hxy | (_ + 1) => le_rfl have us : ∀ i, u i ∈ s := fun | 0 => hy | (_ + 1) => hx simpa only [Finset.sum_range_one] using sum_le f 1 hu us #align evariation_on.edist_le eVariationOn.edist_le theorem eq_zero_iff (f : α → E) {s : Set α} : eVariationOn f s = 0 ↔ ∀ x ∈ s, ∀ y ∈ s, edist (f x) (f y) = 0 := by constructor · rintro h x xs y ys rw [← le_zero_iff, ← h] exact edist_le f xs ys · rintro h dsimp only [eVariationOn] rw [ENNReal.iSup_eq_zero] rintro ⟨n, u, um, us⟩ exact Finset.sum_eq_zero fun i _ => h _ (us i.succ) _ (us i) #align evariation_on.eq_zero_iff eVariationOn.eq_zero_iff theorem constant_on {f : α → E} {s : Set α} (hf : (f '' s).Subsingleton) : eVariationOn f s = 0 := by rw [eq_zero_iff] rintro x xs y ys rw [hf ⟨x, xs, rfl⟩ ⟨y, ys, rfl⟩, edist_self] #align evariation_on.constant_on eVariationOn.constant_on @[simp] protected theorem subsingleton (f : α → E) {s : Set α} (hs : s.Subsingleton) : eVariationOn f s = 0 := constant_on (hs.image f) #align evariation_on.subsingleton eVariationOn.subsingleton
Mathlib/Analysis/BoundedVariation.lean
190
201
theorem lowerSemicontinuous_aux {ι : Type*} {F : ι → α → E} {p : Filter ι} {f : α → E} {s : Set α} (Ffs : ∀ x ∈ s, Tendsto (fun i => F i x) p (𝓝 (f x))) {v : ℝ≥0∞} (hv : v < eVariationOn f s) : ∀ᶠ n : ι in p, v < eVariationOn (F n) s := by
obtain ⟨⟨n, ⟨u, um, us⟩⟩, hlt⟩ : ∃ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s }, v < ∑ i ∈ Finset.range p.1, edist (f ((p.2 : ℕ → α) (i + 1))) (f ((p.2 : ℕ → α) i)) := lt_iSup_iff.mp hv have : Tendsto (fun j => ∑ i ∈ Finset.range n, edist (F j (u (i + 1))) (F j (u i))) p (𝓝 (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i)))) := by apply tendsto_finset_sum exact fun i _ => Tendsto.edist (Ffs (u i.succ) (us i.succ)) (Ffs (u i) (us i)) exact (eventually_gt_of_tendsto_gt hlt this).mono fun i h => h.trans_le (sum_le (F i) n um us)
import Mathlib.Algebra.Ring.Divisibility.Basic import Mathlib.Init.Data.Ordering.Lemmas import Mathlib.SetTheory.Ordinal.Principal import Mathlib.Tactic.NormNum #align_import set_theory.ordinal.notation from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" set_option linter.uppercaseLean3 false open Ordinal Order -- Porting note: the generated theorem is warned by `simpNF`. set_option genSizeOfSpec false in inductive ONote : Type | zero : ONote | oadd : ONote → ℕ+ → ONote → ONote deriving DecidableEq #align onote ONote compile_inductive% ONote namespace ONote instance : Zero ONote := ⟨zero⟩ @[simp] theorem zero_def : zero = 0 := rfl #align onote.zero_def ONote.zero_def instance : Inhabited ONote := ⟨0⟩ instance : One ONote := ⟨oadd 0 1 0⟩ def omega : ONote := oadd 1 1 0 #align onote.omega ONote.omega @[simp] noncomputable def repr : ONote → Ordinal.{0} | 0 => 0 | oadd e n a => ω ^ repr e * n + repr a #align onote.repr ONote.repr def toStringAux1 (e : ONote) (n : ℕ) (s : String) : String := if e = 0 then toString n else (if e = 1 then "ω" else "ω^(" ++ s ++ ")") ++ if n = 1 then "" else "*" ++ toString n #align onote.to_string_aux1 ONote.toStringAux1 def toString : ONote → String | zero => "0" | oadd e n 0 => toStringAux1 e n (toString e) | oadd e n a => toStringAux1 e n (toString e) ++ " + " ++ toString a #align onote.to_string ONote.toString open Lean in def repr' (prec : ℕ) : ONote → Format | zero => "0" | oadd e n a => Repr.addAppParen ("oadd " ++ (repr' max_prec e) ++ " " ++ Nat.repr (n : ℕ) ++ " " ++ (repr' max_prec a)) prec #align onote.repr' ONote.repr instance : ToString ONote := ⟨toString⟩ instance : Repr ONote where reprPrec o prec := repr' prec o instance : Preorder ONote where le x y := repr x ≤ repr y lt x y := repr x < repr y le_refl _ := @le_refl Ordinal _ _ le_trans _ _ _ := @le_trans Ordinal _ _ _ _ lt_iff_le_not_le _ _ := @lt_iff_le_not_le Ordinal _ _ _ theorem lt_def {x y : ONote} : x < y ↔ repr x < repr y := Iff.rfl #align onote.lt_def ONote.lt_def theorem le_def {x y : ONote} : x ≤ y ↔ repr x ≤ repr y := Iff.rfl #align onote.le_def ONote.le_def instance : WellFoundedRelation ONote := ⟨(· < ·), InvImage.wf repr Ordinal.lt_wf⟩ @[coe] def ofNat : ℕ → ONote | 0 => 0 | Nat.succ n => oadd 0 n.succPNat 0 #align onote.of_nat ONote.ofNat -- Porting note (#11467): during the port we marked these lemmas with `@[eqns]` -- to emulate the old Lean 3 behaviour. @[simp] theorem ofNat_zero : ofNat 0 = 0 := rfl @[simp] theorem ofNat_succ (n) : ofNat (Nat.succ n) = oadd 0 n.succPNat 0 := rfl instance nat (n : ℕ) : OfNat ONote n where ofNat := ofNat n @[simp 1200] theorem ofNat_one : ofNat 1 = 1 := rfl #align onote.of_nat_one ONote.ofNat_one @[simp] theorem repr_ofNat (n : ℕ) : repr (ofNat n) = n := by cases n <;> simp #align onote.repr_of_nat ONote.repr_ofNat -- @[simp] -- Porting note (#10618): simp can prove this theorem repr_one : repr (ofNat 1) = (1 : ℕ) := repr_ofNat 1 #align onote.repr_one ONote.repr_one theorem omega_le_oadd (e n a) : ω ^ repr e ≤ repr (oadd e n a) := by refine le_trans ?_ (le_add_right _ _) simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e) omega_pos).2 (natCast_le.2 n.2) #align onote.omega_le_oadd ONote.omega_le_oadd theorem oadd_pos (e n a) : 0 < oadd e n a := @lt_of_lt_of_le _ _ _ (ω ^ repr e) _ (opow_pos (repr e) omega_pos) (omega_le_oadd e n a) #align onote.oadd_pos ONote.oadd_pos def cmp : ONote → ONote → Ordering | 0, 0 => Ordering.eq | _, 0 => Ordering.gt | 0, _ => Ordering.lt | _o₁@(oadd e₁ n₁ a₁), _o₂@(oadd e₂ n₂ a₂) => (cmp e₁ e₂).orElse <| (_root_.cmp (n₁ : ℕ) n₂).orElse (cmp a₁ a₂) #align onote.cmp ONote.cmp theorem eq_of_cmp_eq : ∀ {o₁ o₂}, cmp o₁ o₂ = Ordering.eq → o₁ = o₂ | 0, 0, _ => rfl | oadd e n a, 0, h => by injection h | 0, oadd e n a, h => by injection h | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h => by revert h; simp only [cmp] cases h₁ : cmp e₁ e₂ <;> intro h <;> try cases h obtain rfl := eq_of_cmp_eq h₁ revert h; cases h₂ : _root_.cmp (n₁ : ℕ) n₂ <;> intro h <;> try cases h obtain rfl := eq_of_cmp_eq h rw [_root_.cmp, cmpUsing_eq_eq] at h₂ obtain rfl := Subtype.eq (eq_of_incomp h₂) simp #align onote.eq_of_cmp_eq ONote.eq_of_cmp_eq protected theorem zero_lt_one : (0 : ONote) < 1 := by simp only [lt_def, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, zero_lt_one] #align onote.zero_lt_one ONote.zero_lt_one inductive NFBelow : ONote → Ordinal.{0} → Prop | zero {b} : NFBelow 0 b | oadd' {e n a eb b} : NFBelow e eb → NFBelow a (repr e) → repr e < b → NFBelow (oadd e n a) b #align onote.NF_below ONote.NFBelow class NF (o : ONote) : Prop where out : Exists (NFBelow o) #align onote.NF ONote.NF instance NF.zero : NF 0 := ⟨⟨0, NFBelow.zero⟩⟩ #align onote.NF.zero ONote.NF.zero theorem NFBelow.oadd {e n a b} : NF e → NFBelow a (repr e) → repr e < b → NFBelow (oadd e n a) b | ⟨⟨_, h⟩⟩ => NFBelow.oadd' h #align onote.NF_below.oadd ONote.NFBelow.oadd theorem NFBelow.fst {e n a b} (h : NFBelow (ONote.oadd e n a) b) : NF e := by cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact ⟨⟨_, h₁⟩⟩ #align onote.NF_below.fst ONote.NFBelow.fst theorem NF.fst {e n a} : NF (oadd e n a) → NF e | ⟨⟨_, h⟩⟩ => h.fst #align onote.NF.fst ONote.NF.fst theorem NFBelow.snd {e n a b} (h : NFBelow (ONote.oadd e n a) b) : NFBelow a (repr e) := by cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact h₂ #align onote.NF_below.snd ONote.NFBelow.snd theorem NF.snd' {e n a} : NF (oadd e n a) → NFBelow a (repr e) | ⟨⟨_, h⟩⟩ => h.snd #align onote.NF.snd' ONote.NF.snd' theorem NF.snd {e n a} (h : NF (oadd e n a)) : NF a := ⟨⟨_, h.snd'⟩⟩ #align onote.NF.snd ONote.NF.snd theorem NF.oadd {e a} (h₁ : NF e) (n) (h₂ : NFBelow a (repr e)) : NF (oadd e n a) := ⟨⟨_, NFBelow.oadd h₁ h₂ (lt_succ _)⟩⟩ #align onote.NF.oadd ONote.NF.oadd instance NF.oadd_zero (e n) [h : NF e] : NF (ONote.oadd e n 0) := h.oadd _ NFBelow.zero #align onote.NF.oadd_zero ONote.NF.oadd_zero theorem NFBelow.lt {e n a b} (h : NFBelow (ONote.oadd e n a) b) : repr e < b := by cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact h₃ #align onote.NF_below.lt ONote.NFBelow.lt theorem NFBelow_zero : ∀ {o}, NFBelow o 0 ↔ o = 0 | 0 => ⟨fun _ => rfl, fun _ => NFBelow.zero⟩ | oadd _ _ _ => ⟨fun h => (not_le_of_lt h.lt).elim (Ordinal.zero_le _), fun e => e.symm ▸ NFBelow.zero⟩ #align onote.NF_below_zero ONote.NFBelow_zero theorem NF.zero_of_zero {e n a} (h : NF (ONote.oadd e n a)) (e0 : e = 0) : a = 0 := by simpa [e0, NFBelow_zero] using h.snd' #align onote.NF.zero_of_zero ONote.NF.zero_of_zero theorem NFBelow.repr_lt {o b} (h : NFBelow o b) : repr o < ω ^ b := by induction' h with _ e n a eb b h₁ h₂ h₃ _ IH · exact opow_pos _ omega_pos · rw [repr] apply ((add_lt_add_iff_left _).2 IH).trans_le rw [← mul_succ] apply (mul_le_mul_left' (succ_le_of_lt (nat_lt_omega _)) _).trans rw [← opow_succ] exact opow_le_opow_right omega_pos (succ_le_of_lt h₃) #align onote.NF_below.repr_lt ONote.NFBelow.repr_lt theorem NFBelow.mono {o b₁ b₂} (bb : b₁ ≤ b₂) (h : NFBelow o b₁) : NFBelow o b₂ := by induction' h with _ e n a eb b h₁ h₂ h₃ _ _ <;> constructor exacts [h₁, h₂, lt_of_lt_of_le h₃ bb] #align onote.NF_below.mono ONote.NFBelow.mono theorem NF.below_of_lt {e n a b} (H : repr e < b) : NF (ONote.oadd e n a) → NFBelow (ONote.oadd e n a) b | ⟨⟨b', h⟩⟩ => by (cases' h with _ _ _ _ eb _ h₁ h₂ h₃; exact NFBelow.oadd' h₁ h₂ H) #align onote.NF.below_of_lt ONote.NF.below_of_lt theorem NF.below_of_lt' : ∀ {o b}, repr o < ω ^ b → NF o → NFBelow o b | 0, _, _, _ => NFBelow.zero | ONote.oadd _ _ _, _, H, h => h.below_of_lt <| (opow_lt_opow_iff_right one_lt_omega).1 <| lt_of_le_of_lt (omega_le_oadd _ _ _) H #align onote.NF.below_of_lt' ONote.NF.below_of_lt' theorem nfBelow_ofNat : ∀ n, NFBelow (ofNat n) 1 | 0 => NFBelow.zero | Nat.succ _ => NFBelow.oadd NF.zero NFBelow.zero zero_lt_one #align onote.NF_below_of_nat ONote.nfBelow_ofNat instance nf_ofNat (n) : NF (ofNat n) := ⟨⟨_, nfBelow_ofNat n⟩⟩ #align onote.NF_of_nat ONote.nf_ofNat instance nf_one : NF 1 := by rw [← ofNat_one]; infer_instance #align onote.NF_one ONote.nf_one theorem oadd_lt_oadd_1 {e₁ n₁ o₁ e₂ n₂ o₂} (h₁ : NF (oadd e₁ n₁ o₁)) (h : e₁ < e₂) : oadd e₁ n₁ o₁ < oadd e₂ n₂ o₂ := @lt_of_lt_of_le _ _ (repr (oadd e₁ n₁ o₁)) _ _ (NF.below_of_lt h h₁).repr_lt (omega_le_oadd e₂ n₂ o₂) #align onote.oadd_lt_oadd_1 ONote.oadd_lt_oadd_1 theorem oadd_lt_oadd_2 {e o₁ o₂ : ONote} {n₁ n₂ : ℕ+} (h₁ : NF (oadd e n₁ o₁)) (h : (n₁ : ℕ) < n₂) : oadd e n₁ o₁ < oadd e n₂ o₂ := by simp only [lt_def, repr] refine lt_of_lt_of_le ((add_lt_add_iff_left _).2 h₁.snd'.repr_lt) (le_trans ?_ (le_add_right _ _)) rwa [← mul_succ,Ordinal.mul_le_mul_iff_left (opow_pos _ omega_pos), succ_le_iff, natCast_lt] #align onote.oadd_lt_oadd_2 ONote.oadd_lt_oadd_2 theorem oadd_lt_oadd_3 {e n a₁ a₂} (h : a₁ < a₂) : oadd e n a₁ < oadd e n a₂ := by rw [lt_def]; unfold repr exact @add_lt_add_left _ _ _ _ (repr a₁) _ h _ #align onote.oadd_lt_oadd_3 ONote.oadd_lt_oadd_3 theorem cmp_compares : ∀ (a b : ONote) [NF a] [NF b], (cmp a b).Compares a b | 0, 0, _, _ => rfl | oadd e n a, 0, _, _ => oadd_pos _ _ _ | 0, oadd e n a, _, _ => oadd_pos _ _ _ | o₁@(oadd e₁ n₁ a₁), o₂@(oadd e₂ n₂ a₂), h₁, h₂ => by -- TODO: golf rw [cmp] have IHe := @cmp_compares _ _ h₁.fst h₂.fst simp only [Ordering.Compares, gt_iff_lt] at IHe; revert IHe cases cmp e₁ e₂ case lt => intro IHe; exact oadd_lt_oadd_1 h₁ IHe case gt => intro IHe; exact oadd_lt_oadd_1 h₂ IHe case eq => intro IHe; dsimp at IHe; subst IHe unfold _root_.cmp; cases nh : cmpUsing (· < ·) (n₁ : ℕ) n₂ <;> rw [cmpUsing, ite_eq_iff, not_lt] at nh case lt => cases' nh with nh nh · exact oadd_lt_oadd_2 h₁ nh.left · rw [ite_eq_iff] at nh; cases' nh.right with nh nh <;> cases nh <;> contradiction case gt => cases' nh with nh nh · cases nh; contradiction · cases' nh with _ nh rw [ite_eq_iff] at nh; cases' nh with nh nh · exact oadd_lt_oadd_2 h₂ nh.left · cases nh; contradiction cases' nh with nh nh · cases nh; contradiction cases' nh with nhl nhr rw [ite_eq_iff] at nhr cases' nhr with nhr nhr · cases nhr; contradiction obtain rfl := Subtype.eq (eq_of_incomp ⟨(not_lt_of_ge nhl), nhr.left⟩) have IHa := @cmp_compares _ _ h₁.snd h₂.snd revert IHa; cases cmp a₁ a₂ <;> intro IHa <;> dsimp at IHa case lt => exact oadd_lt_oadd_3 IHa case gt => exact oadd_lt_oadd_3 IHa subst IHa; exact rfl #align onote.cmp_compares ONote.cmp_compares theorem repr_inj {a b} [NF a] [NF b] : repr a = repr b ↔ a = b := ⟨fun e => match cmp a b, cmp_compares a b with | Ordering.lt, (h : repr a < repr b) => (ne_of_lt h e).elim | Ordering.gt, (h : repr a > repr b)=> (ne_of_gt h e).elim | Ordering.eq, h => h, congr_arg _⟩ #align onote.repr_inj ONote.repr_inj theorem NF.of_dvd_omega_opow {b e n a} (h : NF (ONote.oadd e n a)) (d : ω ^ b ∣ repr (ONote.oadd e n a)) : b ≤ repr e ∧ ω ^ b ∣ repr a := by have := mt repr_inj.1 (fun h => by injection h : ONote.oadd e n a ≠ 0) have L := le_of_not_lt fun l => not_le_of_lt (h.below_of_lt l).repr_lt (le_of_dvd this d) simp only [repr] at d exact ⟨L, (dvd_add_iff <| (opow_dvd_opow _ L).mul_right _).1 d⟩ #align onote.NF.of_dvd_omega_opow ONote.NF.of_dvd_omega_opow theorem NF.of_dvd_omega {e n a} (h : NF (ONote.oadd e n a)) : ω ∣ repr (ONote.oadd e n a) → repr e ≠ 0 ∧ ω ∣ repr a := by (rw [← opow_one ω, ← one_le_iff_ne_zero]; exact h.of_dvd_omega_opow) #align onote.NF.of_dvd_omega ONote.NF.of_dvd_omega def TopBelow (b : ONote) : ONote → Prop | 0 => True | oadd e _ _ => cmp e b = Ordering.lt #align onote.top_below ONote.TopBelow instance decidableTopBelow : DecidableRel TopBelow := by intro b o cases o <;> delta TopBelow <;> infer_instance #align onote.decidable_top_below ONote.decidableTopBelow theorem nfBelow_iff_topBelow {b} [NF b] : ∀ {o}, NFBelow o (repr b) ↔ NF o ∧ TopBelow b o | 0 => ⟨fun h => ⟨⟨⟨_, h⟩⟩, trivial⟩, fun _ => NFBelow.zero⟩ | oadd _ _ _ => ⟨fun h => ⟨⟨⟨_, h⟩⟩, (@cmp_compares _ b h.fst _).eq_lt.2 h.lt⟩, fun ⟨h₁, h₂⟩ => h₁.below_of_lt <| (@cmp_compares _ b h₁.fst _).eq_lt.1 h₂⟩ #align onote.NF_below_iff_top_below ONote.nfBelow_iff_topBelow instance decidableNF : DecidablePred NF | 0 => isTrue NF.zero | oadd e n a => by have := decidableNF e have := decidableNF a apply decidable_of_iff (NF e ∧ NF a ∧ TopBelow e a) rw [← and_congr_right fun h => @nfBelow_iff_topBelow _ h _] exact ⟨fun ⟨h₁, h₂⟩ => NF.oadd h₁ n h₂, fun h => ⟨h.fst, h.snd'⟩⟩ #align onote.decidable_NF ONote.decidableNF def addAux (e : ONote) (n : ℕ+) (o : ONote) : ONote := match o with | 0 => oadd e n 0 | o'@(oadd e' n' a') => match cmp e e' with | Ordering.lt => o' | Ordering.eq => oadd e (n + n') a' | Ordering.gt => oadd e n o' def add : ONote → ONote → ONote | 0, o => o | oadd e n a, o => addAux e n (add a o) #align onote.add ONote.add instance : Add ONote := ⟨add⟩ @[simp] theorem zero_add (o : ONote) : 0 + o = o := rfl #align onote.zero_add ONote.zero_add theorem oadd_add (e n a o) : oadd e n a + o = addAux e n (a + o) := rfl #align onote.oadd_add ONote.oadd_add def sub : ONote → ONote → ONote | 0, _ => 0 | o, 0 => o | o₁@(oadd e₁ n₁ a₁), oadd e₂ n₂ a₂ => match cmp e₁ e₂ with | Ordering.lt => 0 | Ordering.gt => o₁ | Ordering.eq => match (n₁ : ℕ) - n₂ with | 0 => if n₁ = n₂ then sub a₁ a₂ else 0 | Nat.succ k => oadd e₁ k.succPNat a₁ #align onote.sub ONote.sub instance : Sub ONote := ⟨sub⟩ theorem add_nfBelow {b} : ∀ {o₁ o₂}, NFBelow o₁ b → NFBelow o₂ b → NFBelow (o₁ + o₂) b | 0, _, _, h₂ => h₂ | oadd e n a, o, h₁, h₂ => by have h' := add_nfBelow (h₁.snd.mono <| le_of_lt h₁.lt) h₂ simp [oadd_add]; revert h'; cases' a + o with e' n' a' <;> intro h' · exact NFBelow.oadd h₁.fst NFBelow.zero h₁.lt have : ((e.cmp e').Compares e e') := @cmp_compares _ _ h₁.fst h'.fst cases h: cmp e e' <;> dsimp [addAux] <;> simp [h] · exact h' · simp [h] at this subst e' exact NFBelow.oadd h'.fst h'.snd h'.lt · simp [h] at this exact NFBelow.oadd h₁.fst (NF.below_of_lt this ⟨⟨_, h'⟩⟩) h₁.lt #align onote.add_NF_below ONote.add_nfBelow instance add_nf (o₁ o₂) : ∀ [NF o₁] [NF o₂], NF (o₁ + o₂) | ⟨⟨b₁, h₁⟩⟩, ⟨⟨b₂, h₂⟩⟩ => ⟨(le_total b₁ b₂).elim (fun h => ⟨b₂, add_nfBelow (h₁.mono h) h₂⟩) fun h => ⟨b₁, add_nfBelow h₁ (h₂.mono h)⟩⟩ #align onote.add_NF ONote.add_nf @[simp] theorem repr_add : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ + o₂) = repr o₁ + repr o₂ | 0, o, _, _ => by simp | oadd e n a, o, h₁, h₂ => by haveI := h₁.snd; have h' := repr_add a o conv_lhs at h' => simp [HAdd.hAdd, Add.add] have nf := ONote.add_nf a o conv at nf => simp [HAdd.hAdd, Add.add] conv in _ + o => simp [HAdd.hAdd, Add.add] cases' h : add a o with e' n' a' <;> simp only [Add.add, add, addAux, h'.symm, h, add_assoc, repr] at nf h₁ ⊢ have := h₁.fst; haveI := nf.fst; have ee := cmp_compares e e' cases he: cmp e e' <;> simp only [he, Ordering.compares_gt, Ordering.compares_lt, Ordering.compares_eq, repr, gt_iff_lt, PNat.add_coe, Nat.cast_add] at ee ⊢ · rw [← add_assoc, @add_absorp _ (repr e') (ω ^ repr e' * (n' : ℕ))] · have := (h₁.below_of_lt ee).repr_lt unfold repr at this cases he': e' <;> simp only [he', zero_def, opow_zero, repr, gt_iff_lt] at this ⊢ <;> exact lt_of_le_of_lt (le_add_right _ _) this · simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos (repr e') omega_pos).2 (natCast_le.2 n'.pos) · rw [ee, ← add_assoc, ← mul_add] #align onote.repr_add ONote.repr_add theorem sub_nfBelow : ∀ {o₁ o₂ b}, NFBelow o₁ b → NF o₂ → NFBelow (o₁ - o₂) b | 0, o, b, _, h₂ => by cases o <;> exact NFBelow.zero | oadd _ _ _, 0, _, h₁, _ => h₁ | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, b, h₁, h₂ => by have h' := sub_nfBelow h₁.snd h₂.snd simp only [HSub.hSub, Sub.sub, sub] at h' ⊢ have := @cmp_compares _ _ h₁.fst h₂.fst cases h : cmp e₁ e₂ <;> simp [sub] · apply NFBelow.zero · simp only [h, Ordering.compares_eq] at this subst e₂ cases (n₁ : ℕ) - n₂ <;> simp [sub] · by_cases en : n₁ = n₂ <;> simp [en] · exact h'.mono (le_of_lt h₁.lt) · exact NFBelow.zero · exact NFBelow.oadd h₁.fst h₁.snd h₁.lt · exact h₁ #align onote.sub_NF_below ONote.sub_nfBelow instance sub_nf (o₁ o₂) : ∀ [NF o₁] [NF o₂], NF (o₁ - o₂) | ⟨⟨b₁, h₁⟩⟩, h₂ => ⟨⟨b₁, sub_nfBelow h₁ h₂⟩⟩ #align onote.sub_NF ONote.sub_nf @[simp] theorem repr_sub : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ - o₂) = repr o₁ - repr o₂ | 0, o, _, h₂ => by cases o <;> exact (Ordinal.zero_sub _).symm | oadd e n a, 0, _, _ => (Ordinal.sub_zero _).symm | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h₁, h₂ => by haveI := h₁.snd; haveI := h₂.snd; have h' := repr_sub a₁ a₂ conv_lhs at h' => dsimp [HSub.hSub, Sub.sub, sub] conv_lhs => dsimp only [HSub.hSub, Sub.sub]; dsimp only [sub] have ee := @cmp_compares _ _ h₁.fst h₂.fst cases h : cmp e₁ e₂ <;> simp only [h] at ee · rw [Ordinal.sub_eq_zero_iff_le.2] · rfl exact le_of_lt (oadd_lt_oadd_1 h₁ ee) · change e₁ = e₂ at ee subst e₂ dsimp only cases mn : (n₁ : ℕ) - n₂ <;> dsimp only · by_cases en : n₁ = n₂ · simpa [en] · simp only [en, ite_false] exact (Ordinal.sub_eq_zero_iff_le.2 <| le_of_lt <| oadd_lt_oadd_2 h₁ <| lt_of_le_of_ne (tsub_eq_zero_iff_le.1 mn) (mt PNat.eq en)).symm · simp [Nat.succPNat] rw [(tsub_eq_iff_eq_add_of_le <| le_of_lt <| Nat.lt_of_sub_eq_succ mn).1 mn, add_comm, Nat.cast_add, mul_add, add_assoc, add_sub_add_cancel] refine (Ordinal.sub_eq_of_add_eq <| add_absorp h₂.snd'.repr_lt <| le_trans ?_ (le_add_right _ _)).symm simpa using mul_le_mul_left' (natCast_le.2 <| Nat.succ_pos _) _ · exact (Ordinal.sub_eq_of_add_eq <| add_absorp (h₂.below_of_lt ee).repr_lt <| omega_le_oadd _ _ _).symm #align onote.repr_sub ONote.repr_sub def mul : ONote → ONote → ONote | 0, _ => 0 | _, 0 => 0 | o₁@(oadd e₁ n₁ a₁), oadd e₂ n₂ a₂ => if e₂ = 0 then oadd e₁ (n₁ * n₂) a₁ else oadd (e₁ + e₂) n₂ (mul o₁ a₂) #align onote.mul ONote.mul instance : Mul ONote := ⟨mul⟩ instance : MulZeroClass ONote where mul := (· * ·) zero := 0 zero_mul o := by cases o <;> rfl mul_zero o := by cases o <;> rfl theorem oadd_mul (e₁ n₁ a₁ e₂ n₂ a₂) : oadd e₁ n₁ a₁ * oadd e₂ n₂ a₂ = if e₂ = 0 then oadd e₁ (n₁ * n₂) a₁ else oadd (e₁ + e₂) n₂ (oadd e₁ n₁ a₁ * a₂) := rfl #align onote.oadd_mul ONote.oadd_mul theorem oadd_mul_nfBelow {e₁ n₁ a₁ b₁} (h₁ : NFBelow (oadd e₁ n₁ a₁) b₁) : ∀ {o₂ b₂}, NFBelow o₂ b₂ → NFBelow (oadd e₁ n₁ a₁ * o₂) (repr e₁ + b₂) | 0, b₂, _ => NFBelow.zero | oadd e₂ n₂ a₂, b₂, h₂ => by have IH := oadd_mul_nfBelow h₁ h₂.snd by_cases e0 : e₂ = 0 <;> simp [e0, oadd_mul] · apply NFBelow.oadd h₁.fst h₁.snd simpa using (add_lt_add_iff_left (repr e₁)).2 (lt_of_le_of_lt (Ordinal.zero_le _) h₂.lt) · haveI := h₁.fst haveI := h₂.fst apply NFBelow.oadd · infer_instance · rwa [repr_add] · rw [repr_add, add_lt_add_iff_left] exact h₂.lt #align onote.oadd_mul_NF_below ONote.oadd_mul_nfBelow instance mul_nf : ∀ (o₁ o₂) [NF o₁] [NF o₂], NF (o₁ * o₂) | 0, o, _, h₂ => by cases o <;> exact NF.zero | oadd e n a, o, ⟨⟨b₁, hb₁⟩⟩, ⟨⟨b₂, hb₂⟩⟩ => ⟨⟨_, oadd_mul_nfBelow hb₁ hb₂⟩⟩ #align onote.mul_NF ONote.mul_nf @[simp] theorem repr_mul : ∀ (o₁ o₂) [NF o₁] [NF o₂], repr (o₁ * o₂) = repr o₁ * repr o₂ | 0, o, _, h₂ => by cases o <;> exact (zero_mul _).symm | oadd e₁ n₁ a₁, 0, _, _ => (mul_zero _).symm | oadd e₁ n₁ a₁, oadd e₂ n₂ a₂, h₁, h₂ => by have IH : repr (mul _ _) = _ := @repr_mul _ _ h₁ h₂.snd conv => lhs simp [(· * ·)] have ao : repr a₁ + ω ^ repr e₁ * (n₁ : ℕ) = ω ^ repr e₁ * (n₁ : ℕ) := by apply add_absorp h₁.snd'.repr_lt simpa using (Ordinal.mul_le_mul_iff_left <| opow_pos _ omega_pos).2 (natCast_le.2 n₁.2) by_cases e0 : e₂ = 0 <;> simp [e0, mul] · cases' Nat.exists_eq_succ_of_ne_zero n₂.ne_zero with x xe simp only [xe, h₂.zero_of_zero e0, repr, add_zero] rw [natCast_succ x, add_mul_succ _ ao, mul_assoc] · haveI := h₁.fst haveI := h₂.fst simp only [Mul.mul, mul, e0, ite_false, repr.eq_2, repr_add, opow_add, IH, repr, mul_add] rw [← mul_assoc] congr 2 have := mt repr_inj.1 e0 rw [add_mul_limit ao (opow_isLimit_left omega_isLimit this), mul_assoc, mul_omega_dvd (natCast_pos.2 n₁.pos) (nat_lt_omega _)] simpa using opow_dvd_opow ω (one_le_iff_ne_zero.2 this) #align onote.repr_mul ONote.repr_mul def split' : ONote → ONote × ℕ | 0 => (0, 0) | oadd e n a => if e = 0 then (0, n) else let (a', m) := split' a (oadd (e - 1) n a', m) #align onote.split' ONote.split' def split : ONote → ONote × ℕ | 0 => (0, 0) | oadd e n a => if e = 0 then (0, n) else let (a', m) := split a (oadd e n a', m) #align onote.split ONote.split def scale (x : ONote) : ONote → ONote | 0 => 0 | oadd e n a => oadd (x + e) n (scale x a) #align onote.scale ONote.scale def mulNat : ONote → ℕ → ONote | 0, _ => 0 | _, 0 => 0 | oadd e n a, m + 1 => oadd e (n * m.succPNat) a #align onote.mul_nat ONote.mulNat def opowAux (e a0 a : ONote) : ℕ → ℕ → ONote | _, 0 => 0 | 0, m + 1 => oadd e m.succPNat 0 | k + 1, m => scale (e + mulNat a0 k) a + (opowAux e a0 a k m) #align onote.opow_aux ONote.opowAux def opowAux2 (o₂ : ONote) (o₁ : ONote × ℕ) : ONote := match o₁ with | (0, 0) => if o₂ = 0 then 1 else 0 | (0, 1) => 1 | (0, m + 1) => let (b', k) := split' o₂ oadd b' (m.succPNat ^ k) 0 | (a@(oadd a0 _ _), m) => match split o₂ with | (b, 0) => oadd (a0 * b) 1 0 | (b, k + 1) => let eb := a0 * b scale (eb + mulNat a0 k) a + opowAux eb a0 (mulNat a m) k m def opow (o₁ o₂ : ONote) : ONote := opowAux2 o₂ (split o₁) #align onote.opow ONote.opow instance : Pow ONote ONote := ⟨opow⟩ theorem opow_def (o₁ o₂ : ONote) : o₁ ^ o₂ = opowAux2 o₂ (split o₁) := rfl #align onote.opow_def ONote.opow_def theorem split_eq_scale_split' : ∀ {o o' m} [NF o], split' o = (o', m) → split o = (scale 1 o', m) | 0, o', m, _, p => by injection p; substs o' m; rfl | oadd e n a, o', m, h, p => by by_cases e0 : e = 0 <;> simp [e0, split, split'] at p ⊢ · rcases p with ⟨rfl, rfl⟩ exact ⟨rfl, rfl⟩ · revert p cases' h' : split' a with a' m' haveI := h.fst haveI := h.snd simp only [split_eq_scale_split' h', and_imp] have : 1 + (e - 1) = e := by refine repr_inj.1 ?_ simp only [repr_add, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, repr_sub] have := mt repr_inj.1 e0 refine Ordinal.add_sub_cancel_of_le ?_ have := one_le_iff_ne_zero.2 this exact this intros substs o' m simp [scale, this] #align onote.split_eq_scale_split' ONote.split_eq_scale_split' theorem nf_repr_split' : ∀ {o o' m} [NF o], split' o = (o', m) → NF o' ∧ repr o = ω * repr o' + m | 0, o', m, _, p => by injection p; substs o' m; simp [NF.zero] | oadd e n a, o', m, h, p => by by_cases e0 : e = 0 <;> simp [e0, split, split'] at p ⊢ · rcases p with ⟨rfl, rfl⟩ simp [h.zero_of_zero e0, NF.zero] · revert p cases' h' : split' a with a' m' haveI := h.fst haveI := h.snd cases' nf_repr_split' h' with IH₁ IH₂ simp only [IH₂, and_imp] intros substs o' m have : (ω : Ordinal.{0}) ^ repr e = ω ^ (1 : Ordinal.{0}) * ω ^ (repr e - 1) := by have := mt repr_inj.1 e0 rw [← opow_add, Ordinal.add_sub_cancel_of_le (one_le_iff_ne_zero.2 this)] refine ⟨NF.oadd (by infer_instance) _ ?_, ?_⟩ · simp at this ⊢ refine IH₁.below_of_lt' ((Ordinal.mul_lt_mul_iff_left omega_pos).1 <| lt_of_le_of_lt (le_add_right _ m') ?_) rw [← this, ← IH₂] exact h.snd'.repr_lt · rw [this] simp [mul_add, mul_assoc, add_assoc] #align onote.NF_repr_split' ONote.nf_repr_split' theorem scale_eq_mul (x) [NF x] : ∀ (o) [NF o], scale x o = oadd x 1 0 * o | 0, _ => rfl | oadd e n a, h => by simp only [HMul.hMul]; simp only [scale] haveI := h.snd by_cases e0 : e = 0 · simp_rw [scale_eq_mul] simp [Mul.mul, mul, scale_eq_mul, e0, h.zero_of_zero, show x + 0 = x from repr_inj.1 (by simp)] · simp [e0, Mul.mul, mul, scale_eq_mul, (· * ·)] #align onote.scale_eq_mul ONote.scale_eq_mul instance nf_scale (x) [NF x] (o) [NF o] : NF (scale x o) := by rw [scale_eq_mul] infer_instance #align onote.NF_scale ONote.nf_scale @[simp] theorem repr_scale (x) [NF x] (o) [NF o] : repr (scale x o) = ω ^ repr x * repr o := by simp only [scale_eq_mul, repr_mul, repr, PNat.one_coe, Nat.cast_one, mul_one, add_zero] #align onote.repr_scale ONote.repr_scale theorem nf_repr_split {o o' m} [NF o] (h : split o = (o', m)) : NF o' ∧ repr o = repr o' + m := by cases' e : split' o with a n cases' nf_repr_split' e with s₁ s₂ rw [split_eq_scale_split' e] at h injection h; substs o' n simp only [repr_scale, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, opow_one, s₂.symm, and_true] infer_instance #align onote.NF_repr_split ONote.nf_repr_split theorem split_dvd {o o' m} [NF o] (h : split o = (o', m)) : ω ∣ repr o' := by cases' e : split' o with a n rw [split_eq_scale_split' e] at h injection h; subst o' cases nf_repr_split' e; simp #align onote.split_dvd ONote.split_dvd theorem split_add_lt {o e n a m} [NF o] (h : split o = (oadd e n a, m)) : repr a + m < ω ^ repr e := by cases' nf_repr_split h with h₁ h₂ cases' h₁.of_dvd_omega (split_dvd h) with e0 d apply principal_add_omega_opow _ h₁.snd'.repr_lt (lt_of_lt_of_le (nat_lt_omega _) _) simpa using opow_le_opow_right omega_pos (one_le_iff_ne_zero.2 e0) #align onote.split_add_lt ONote.split_add_lt @[simp] theorem mulNat_eq_mul (n o) : mulNat o n = o * ofNat n := by cases o <;> cases n <;> rfl #align onote.mul_nat_eq_mul ONote.mulNat_eq_mul instance nf_mulNat (o) [NF o] (n) : NF (mulNat o n) := by simp; exact ONote.mul_nf o (ofNat n) #align onote.NF_mul_nat ONote.nf_mulNat instance nf_opowAux (e a0 a) [NF e] [NF a0] [NF a] : ∀ k m, NF (opowAux e a0 a k m) := by intro k m unfold opowAux cases' m with m m · cases k <;> exact NF.zero cases' k with k k · exact NF.oadd_zero _ _ · haveI := nf_opowAux e a0 a k simp only [Nat.succ_ne_zero m, IsEmpty.forall_iff, mulNat_eq_mul]; infer_instance #align onote.NF_opow_aux ONote.nf_opowAux instance nf_opow (o₁ o₂) [NF o₁] [NF o₂] : NF (o₁ ^ o₂) := by cases' e₁ : split o₁ with a m have na := (nf_repr_split e₁).1 cases' e₂ : split' o₂ with b' k haveI := (nf_repr_split' e₂).1 cases' a with a0 n a' · cases' m with m · by_cases o₂ = 0 <;> simp only [(· ^ ·), Pow.pow, pow, opow, opowAux2, *] <;> decide · by_cases m = 0 · simp only [(· ^ ·), Pow.pow, pow, opow, opowAux2, *, zero_def] decide · simp only [(· ^ ·), Pow.pow, pow, opow, opowAux2, mulNat_eq_mul, ofNat, *] infer_instance · simp [(· ^ ·),Pow.pow,pow, opow, opowAux2, e₁, e₂, split_eq_scale_split' e₂] have := na.fst cases' k with k <;> simp · infer_instance · cases k <;> cases m <;> infer_instance #align onote.NF_opow ONote.nf_opow theorem scale_opowAux (e a0 a : ONote) [NF e] [NF a0] [NF a] : ∀ k m, repr (opowAux e a0 a k m) = ω ^ repr e * repr (opowAux 0 a0 a k m) | 0, m => by cases m <;> simp [opowAux] | k + 1, m => by by_cases h : m = 0 · simp [h, opowAux, mul_add, opow_add, mul_assoc, scale_opowAux _ _ _ k] · -- Porting note: rewrote proof rw [opowAux]; swap · assumption rw [opowAux]; swap · assumption rw [repr_add, repr_scale, scale_opowAux _ _ _ k] simp only [repr_add, repr_scale, opow_add, mul_assoc, zero_add, mul_add] #align onote.scale_opow_aux ONote.scale_opowAux theorem repr_opow_aux₁ {e a} [Ne : NF e] [Na : NF a] {a' : Ordinal} (e0 : repr e ≠ 0) (h : a' < (ω : Ordinal.{0}) ^ repr e) (aa : repr a = a') (n : ℕ+) : ((ω : Ordinal.{0}) ^ repr e * (n : ℕ) + a') ^ (ω : Ordinal.{0}) = (ω ^ repr e) ^ (ω : Ordinal.{0}) := by subst aa have No := Ne.oadd n (Na.below_of_lt' h) have := omega_le_oadd e n a rw [repr] at this refine le_antisymm ?_ (opow_le_opow_left _ this) apply (opow_le_of_limit ((opow_pos _ omega_pos).trans_le this).ne' omega_isLimit).2 intro b l have := (No.below_of_lt (lt_succ _)).repr_lt rw [repr] at this apply (opow_le_opow_left b <| this.le).trans rw [← opow_mul, ← opow_mul] apply opow_le_opow_right omega_pos rcases le_or_lt ω (repr e) with h | h · apply (mul_le_mul_left' (le_succ b) _).trans rw [← add_one_eq_succ, add_mul_succ _ (one_add_of_omega_le h), add_one_eq_succ, succ_le_iff, Ordinal.mul_lt_mul_iff_left (Ordinal.pos_iff_ne_zero.2 e0)] exact omega_isLimit.2 _ l · apply (principal_mul_omega (omega_isLimit.2 _ h) l).le.trans simpa using mul_le_mul_right' (one_le_iff_ne_zero.2 e0) ω #align onote.repr_opow_aux₁ ONote.repr_opow_aux₁ section -- Porting note: `R'` is used in the proof but marked as an unused variable. set_option linter.unusedVariables false in theorem repr_opow_aux₂ {a0 a'} [N0 : NF a0] [Na' : NF a'] (m : ℕ) (d : ω ∣ repr a') (e0 : repr a0 ≠ 0) (h : repr a' + m < (ω ^ repr a0)) (n : ℕ+) (k : ℕ) : let R := repr (opowAux 0 a0 (oadd a0 n a' * ofNat m) k m) (k ≠ 0 → R < ((ω ^ repr a0) ^ succ (k : Ordinal))) ∧ ((ω ^ repr a0) ^ (k : Ordinal)) * ((ω ^ repr a0) * (n : ℕ) + repr a') + R = ((ω ^ repr a0) * (n : ℕ) + repr a' + m) ^ succ (k : Ordinal) := by intro R' haveI No : NF (oadd a0 n a') := N0.oadd n (Na'.below_of_lt' <| lt_of_le_of_lt (le_add_right _ _) h) induction' k with k IH · cases m <;> simp [R', opowAux] -- rename R => R' let R := repr (opowAux 0 a0 (oadd a0 n a' * ofNat m) k m) let ω0 := ω ^ repr a0 let α' := ω0 * n + repr a' change (k ≠ 0 → R < (ω0 ^ succ (k : Ordinal))) ∧ (ω0 ^ (k : Ordinal)) * α' + R = (α' + m) ^ (succ ↑k : Ordinal) at IH have RR : R' = ω0 ^ (k : Ordinal) * (α' * m) + R := by by_cases h : m = 0 · simp only [R, R', h, ONote.ofNat, Nat.cast_zero, zero_add, ONote.repr, mul_zero, ONote.opowAux, add_zero] · simp only [R', ONote.repr_scale, ONote.repr, ONote.mulNat_eq_mul, ONote.opowAux, ONote.repr_ofNat, ONote.repr_mul, ONote.repr_add, Ordinal.opow_mul, ONote.zero_add] have α0 : 0 < α' := by simpa [lt_def, repr] using oadd_pos a0 n a' have ω00 : 0 < ω0 ^ (k : Ordinal) := opow_pos _ (opow_pos _ omega_pos) have Rl : R < ω ^ (repr a0 * succ ↑k) := by by_cases k0 : k = 0 · simp [R, k0] refine lt_of_lt_of_le ?_ (opow_le_opow_right omega_pos (one_le_iff_ne_zero.2 e0)) cases' m with m <;> simp [opowAux, omega_pos] rw [← add_one_eq_succ, ← Nat.cast_succ] apply nat_lt_omega · rw [opow_mul] exact IH.1 k0 refine ⟨fun _ => ?_, ?_⟩ · rw [RR, ← opow_mul _ _ (succ k.succ)] have e0 := Ordinal.pos_iff_ne_zero.2 e0 have rr0 : 0 < repr a0 + repr a0 := lt_of_lt_of_le e0 (le_add_left _ _) apply principal_add_omega_opow · simp [opow_mul, opow_add, mul_assoc] rw [Ordinal.mul_lt_mul_iff_left ω00, ← Ordinal.opow_add] have : _ < ω ^ (repr a0 + repr a0) := (No.below_of_lt ?_).repr_lt · exact mul_lt_omega_opow rr0 this (nat_lt_omega _) · simpa using (add_lt_add_iff_left (repr a0)).2 e0 · exact lt_of_lt_of_le Rl (opow_le_opow_right omega_pos <| mul_le_mul_left' (succ_le_succ_iff.2 (natCast_le.2 (le_of_lt k.lt_succ_self))) _) calc (ω0 ^ (k.succ : Ordinal)) * α' + R' _ = (ω0 ^ succ (k : Ordinal)) * α' + ((ω0 ^ (k : Ordinal)) * α' * m + R) := by rw [natCast_succ, RR, ← mul_assoc] _ = ((ω0 ^ (k : Ordinal)) * α' + R) * α' + ((ω0 ^ (k : Ordinal)) * α' + R) * m := ?_ _ = (α' + m) ^ succ (k.succ : Ordinal) := by rw [← mul_add, natCast_succ, opow_succ, IH.2] congr 1 · have αd : ω ∣ α' := dvd_add (dvd_mul_of_dvd_left (by simpa using opow_dvd_opow ω (one_le_iff_ne_zero.2 e0)) _) d rw [mul_add (ω0 ^ (k : Ordinal)), add_assoc, ← mul_assoc, ← opow_succ, add_mul_limit _ (isLimit_iff_omega_dvd.2 ⟨ne_of_gt α0, αd⟩), mul_assoc, @mul_omega_dvd n (natCast_pos.2 n.pos) (nat_lt_omega _) _ αd] apply @add_absorp _ (repr a0 * succ ↑k) · refine principal_add_omega_opow _ ?_ Rl rw [opow_mul, opow_succ, Ordinal.mul_lt_mul_iff_left ω00] exact No.snd'.repr_lt · have := mul_le_mul_left' (one_le_iff_pos.2 <| natCast_pos.2 n.pos) (ω0 ^ succ (k : Ordinal)) rw [opow_mul] simpa [-opow_succ] · cases m · have : R = 0 := by cases k <;> simp [R, opowAux] simp [this] · rw [natCast_succ, add_mul_succ] apply add_absorp Rl rw [opow_mul, opow_succ] apply mul_le_mul_left' simpa [repr] using omega_le_oadd a0 n a' #align onote.repr_opow_aux₂ ONote.repr_opow_aux₂ end theorem repr_opow (o₁ o₂) [NF o₁] [NF o₂] : repr (o₁ ^ o₂) = repr o₁ ^ repr o₂ := by cases' e₁ : split o₁ with a m cases' nf_repr_split e₁ with N₁ r₁ cases' a with a0 n a' · cases' m with m · by_cases h : o₂ = 0 <;> simp [opow_def, opowAux2, opow, e₁, h, r₁] have := mt repr_inj.1 h rw [zero_opow this] · cases' e₂ : split' o₂ with b' k cases' nf_repr_split' e₂ with _ r₂ by_cases h : m = 0 · simp [opow_def, opow, e₁, h, r₁, e₂, r₂, ← Nat.one_eq_succ_zero] simp only [opow_def, opowAux2, opow, e₁, h, r₁, e₂, r₂, repr, opow_zero, Nat.succPNat_coe, Nat.cast_succ, Nat.cast_zero, _root_.zero_add, mul_one, add_zero, one_opow, npow_eq_pow] rw [opow_add, opow_mul, opow_omega, add_one_eq_succ] · congr conv_lhs => dsimp [(· ^ ·)] simp [Pow.pow, opow, Ordinal.succ_ne_zero] · simpa [Nat.one_le_iff_ne_zero] · rw [← Nat.cast_succ, lt_omega] exact ⟨_, rfl⟩ · haveI := N₁.fst haveI := N₁.snd cases' N₁.of_dvd_omega (split_dvd e₁) with a00 ad have al := split_add_lt e₁ have aa : repr (a' + ofNat m) = repr a' + m := by simp only [eq_self_iff_true, ONote.repr_ofNat, ONote.repr_add] cases' e₂ : split' o₂ with b' k cases' nf_repr_split' e₂ with _ r₂ simp only [opow_def, opow, e₁, r₁, split_eq_scale_split' e₂, opowAux2, repr] cases' k with k · simp [r₂, opow_mul, repr_opow_aux₁ a00 al aa, add_assoc] · simp? [r₂, opow_add, opow_mul, mul_assoc, add_assoc, -repr] says simp only [mulNat_eq_mul, repr_add, repr_scale, repr_mul, repr_ofNat, opow_add, opow_mul, mul_assoc, add_assoc, r₂, Nat.cast_add, Nat.cast_one, add_one_eq_succ, opow_succ] simp only [repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, opow_one] rw [repr_opow_aux₁ a00 al aa, scale_opowAux] simp only [repr_mul, repr_scale, repr, opow_zero, Nat.succPNat_coe, Nat.cast_one, mul_one, add_zero, opow_one, opow_mul] rw [← mul_add, ← add_assoc ((ω : Ordinal.{0}) ^ repr a0 * (n : ℕ))] congr 1 rw [← opow_succ] exact (repr_opow_aux₂ _ ad a00 al _ _).2 #align onote.repr_opow ONote.repr_opow def fundamentalSequence : ONote → Sum (Option ONote) (ℕ → ONote) | zero => Sum.inl none | oadd a m b => match fundamentalSequence b with | Sum.inr f => Sum.inr fun i => oadd a m (f i) | Sum.inl (some b') => Sum.inl (some (oadd a m b')) | Sum.inl none => match fundamentalSequence a, m.natPred with | Sum.inl none, 0 => Sum.inl (some zero) | Sum.inl none, m + 1 => Sum.inl (some (oadd zero m.succPNat zero)) | Sum.inl (some a'), 0 => Sum.inr fun i => oadd a' i.succPNat zero | Sum.inl (some a'), m + 1 => Sum.inr fun i => oadd a m.succPNat (oadd a' i.succPNat zero) | Sum.inr f, 0 => Sum.inr fun i => oadd (f i) 1 zero | Sum.inr f, m + 1 => Sum.inr fun i => oadd a m.succPNat (oadd (f i) 1 zero) #align onote.fundamental_sequence ONote.fundamentalSequence private theorem exists_lt_add {α} [hα : Nonempty α] {o : Ordinal} {f : α → Ordinal} (H : ∀ ⦃a⦄, a < o → ∃ i, a < f i) {b : Ordinal} ⦃a⦄ (h : a < b + o) : ∃ i, a < b + f i := by cases' lt_or_le a b with h h' · obtain ⟨i⟩ := id hα exact ⟨i, h.trans_le (le_add_right _ _)⟩ · rw [← Ordinal.add_sub_cancel_of_le h', add_lt_add_iff_left] at h refine (H h).imp fun i H => ?_ rwa [← Ordinal.add_sub_cancel_of_le h', add_lt_add_iff_left] private theorem exists_lt_mul_omega' {o : Ordinal} ⦃a⦄ (h : a < o * ω) : ∃ i : ℕ, a < o * ↑i + o := by obtain ⟨i, hi, h'⟩ := (lt_mul_of_limit omega_isLimit).1 h obtain ⟨i, rfl⟩ := lt_omega.1 hi exact ⟨i, h'.trans_le (le_add_right _ _)⟩ private theorem exists_lt_omega_opow' {α} {o b : Ordinal} (hb : 1 < b) (ho : o.IsLimit) {f : α → Ordinal} (H : ∀ ⦃a⦄, a < o → ∃ i, a < f i) ⦃a⦄ (h : a < b ^ o) : ∃ i, a < b ^ f i := by obtain ⟨d, hd, h'⟩ := (lt_opow_of_limit (zero_lt_one.trans hb).ne' ho).1 h exact (H hd).imp fun i hi => h'.trans <| (opow_lt_opow_iff_right hb).2 hi def FundamentalSequenceProp (o : ONote) : Sum (Option ONote) (ℕ → ONote) → Prop | Sum.inl none => o = 0 | Sum.inl (some a) => o.repr = succ a.repr ∧ (o.NF → a.NF) | Sum.inr f => o.repr.IsLimit ∧ (∀ i, f i < f (i + 1) ∧ f i < o ∧ (o.NF → (f i).NF)) ∧ ∀ a, a < o.repr → ∃ i, a < (f i).repr #align onote.fundamental_sequence_prop ONote.FundamentalSequenceProp theorem fundamentalSequenceProp_inl_none (o) : FundamentalSequenceProp o (Sum.inl none) ↔ o = 0 := Iff.rfl theorem fundamentalSequenceProp_inl_some (o a) : FundamentalSequenceProp o (Sum.inl (some a)) ↔ o.repr = succ a.repr ∧ (o.NF → a.NF) := Iff.rfl theorem fundamentalSequenceProp_inr (o f) : FundamentalSequenceProp o (Sum.inr f) ↔ o.repr.IsLimit ∧ (∀ i, f i < f (i + 1) ∧ f i < o ∧ (o.NF → (f i).NF)) ∧ ∀ a, a < o.repr → ∃ i, a < (f i).repr := Iff.rfl attribute [eqns fundamentalSequenceProp_inl_none fundamentalSequenceProp_inl_some fundamentalSequenceProp_inr] FundamentalSequenceProp theorem fundamentalSequence_has_prop (o) : FundamentalSequenceProp o (fundamentalSequence o) := by induction' o with a m b iha ihb; · exact rfl rw [fundamentalSequence] rcases e : b.fundamentalSequence with (⟨_ | b'⟩ | f) <;> simp only [FundamentalSequenceProp] <;> rw [e, FundamentalSequenceProp] at ihb · rcases e : a.fundamentalSequence with (⟨_ | a'⟩ | f) <;> cases' e' : m.natPred with m' <;> simp only [FundamentalSequenceProp] <;> rw [e, FundamentalSequenceProp] at iha <;> (try rw [show m = 1 by have := PNat.natPred_add_one m; rw [e'] at this; exact PNat.coe_inj.1 this.symm]) <;> (try rw [show m = (m' + 1).succPNat by rw [← e', ← PNat.coe_inj, Nat.succPNat_coe, ← Nat.add_one, PNat.natPred_add_one]]) <;> simp only [repr, iha, ihb, opow_lt_opow_iff_right one_lt_omega, add_lt_add_iff_left, add_zero, eq_self_iff_true, lt_add_iff_pos_right, lt_def, mul_one, Nat.cast_zero, Nat.cast_succ, Nat.succPNat_coe, opow_succ, opow_zero, mul_add_one, PNat.one_coe, succ_zero, true_and_iff, _root_.zero_add, zero_def] · decide · exact ⟨rfl, inferInstance⟩ · have := opow_pos (repr a') omega_pos refine ⟨mul_isLimit this omega_isLimit, fun i => ⟨this, ?_, fun H => @NF.oadd_zero _ _ (iha.2 H.fst)⟩, exists_lt_mul_omega'⟩ rw [← mul_succ, ← natCast_succ, Ordinal.mul_lt_mul_iff_left this] apply nat_lt_omega · have := opow_pos (repr a') omega_pos refine ⟨add_isLimit _ (mul_isLimit this omega_isLimit), fun i => ⟨this, ?_, ?_⟩, exists_lt_add exists_lt_mul_omega'⟩ · rw [← mul_succ, ← natCast_succ, Ordinal.mul_lt_mul_iff_left this] apply nat_lt_omega · refine fun H => H.fst.oadd _ (NF.below_of_lt' ?_ (@NF.oadd_zero _ _ (iha.2 H.fst))) rw [repr, ← zero_def, repr, add_zero, iha.1, opow_succ, Ordinal.mul_lt_mul_iff_left this] apply nat_lt_omega · rcases iha with ⟨h1, h2, h3⟩ refine ⟨opow_isLimit one_lt_omega h1, fun i => ?_, exists_lt_omega_opow' one_lt_omega h1 h3⟩ obtain ⟨h4, h5, h6⟩ := h2 i exact ⟨h4, h5, fun H => @NF.oadd_zero _ _ (h6 H.fst)⟩ · rcases iha with ⟨h1, h2, h3⟩ refine ⟨add_isLimit _ (opow_isLimit one_lt_omega h1), fun i => ?_, exists_lt_add (exists_lt_omega_opow' one_lt_omega h1 h3)⟩ obtain ⟨h4, h5, h6⟩ := h2 i refine ⟨h4, h5, fun H => H.fst.oadd _ (NF.below_of_lt' ?_ (@NF.oadd_zero _ _ (h6 H.fst)))⟩ rwa [repr, ← zero_def, repr, add_zero, PNat.one_coe, Nat.cast_one, mul_one, opow_lt_opow_iff_right one_lt_omega] · refine ⟨by rw [repr, ihb.1, add_succ, repr], fun H => H.fst.oadd _ (NF.below_of_lt' ?_ (ihb.2 H.snd))⟩ have := H.snd'.repr_lt rw [ihb.1] at this exact (lt_succ _).trans this · rcases ihb with ⟨h1, h2, h3⟩ simp only [repr] exact ⟨Ordinal.add_isLimit _ h1, fun i => ⟨oadd_lt_oadd_3 (h2 i).1, oadd_lt_oadd_3 (h2 i).2.1, fun H => H.fst.oadd _ (NF.below_of_lt' (lt_trans (h2 i).2.1 H.snd'.repr_lt) ((h2 i).2.2 H.snd))⟩, exists_lt_add h3⟩ #align onote.fundamental_sequence_has_prop ONote.fundamentalSequence_has_prop def fastGrowing : ONote → ℕ → ℕ | o => match fundamentalSequence o, fundamentalSequence_has_prop o with | Sum.inl none, _ => Nat.succ | Sum.inl (some a), h => have : a < o := by rw [lt_def, h.1]; apply lt_succ fun i => (fastGrowing a)^[i] i | Sum.inr f, h => fun i => have : f i < o := (h.2.1 i).2.1 fastGrowing (f i) i termination_by o => o #align onote.fast_growing ONote.fastGrowing -- Porting note: the bug of the linter, should be fixed. @[nolint unusedHavesSuffices] theorem fastGrowing_def {o : ONote} {x} (e : fundamentalSequence o = x) : fastGrowing o = match (motive := (x : Option ONote ⊕ (ℕ → ONote)) → FundamentalSequenceProp o x → ℕ → ℕ) x, e ▸ fundamentalSequence_has_prop o with | Sum.inl none, _ => Nat.succ | Sum.inl (some a), _ => fun i => (fastGrowing a)^[i] i | Sum.inr f, _ => fun i => fastGrowing (f i) i := by subst x rw [fastGrowing] #align onote.fast_growing_def ONote.fastGrowing_def theorem fastGrowing_zero' (o : ONote) (h : fundamentalSequence o = Sum.inl none) : fastGrowing o = Nat.succ := by rw [fastGrowing_def h] #align onote.fast_growing_zero' ONote.fastGrowing_zero' theorem fastGrowing_succ (o) {a} (h : fundamentalSequence o = Sum.inl (some a)) : fastGrowing o = fun i => (fastGrowing a)^[i] i := by rw [fastGrowing_def h] #align onote.fast_growing_succ ONote.fastGrowing_succ theorem fastGrowing_limit (o) {f} (h : fundamentalSequence o = Sum.inr f) : fastGrowing o = fun i => fastGrowing (f i) i := by rw [fastGrowing_def h] #align onote.fast_growing_limit ONote.fastGrowing_limit @[simp] theorem fastGrowing_zero : fastGrowing 0 = Nat.succ := fastGrowing_zero' _ rfl #align onote.fast_growing_zero ONote.fastGrowing_zero @[simp]
Mathlib/SetTheory/Ordinal/Notation.lean
1,207
1,210
theorem fastGrowing_one : fastGrowing 1 = fun n => 2 * n := by
rw [@fastGrowing_succ 1 0 rfl]; funext i; rw [two_mul, fastGrowing_zero] suffices ∀ a b, Nat.succ^[a] b = b + a from this _ _ intro a b; induction a <;> simp [*, Function.iterate_succ', Nat.add_assoc, -Function.iterate_succ]
import Mathlib.Geometry.Manifold.ContMDiff.Defs open Set Filter Function open scoped Topology Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] -- declare a smooth manifold `M` over the pair `(E, H)`. {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] -- declare a smooth manifold `M'` over the pair `(E', H')`. {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] -- declare a manifold `M''` over the pair `(E'', H'')`. {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] {I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] -- declare functions, sets, points and smoothness indices {e : PartialHomeomorph M H} {e' : PartialHomeomorph M' H'} {f f₁ : M → M'} {s s₁ t : Set M} {x : M} {m n : ℕ∞} variable {I I'} section Composition theorem ContMDiffWithinAt.comp {t : Set M'} {g : M' → M''} (x : M) (hg : ContMDiffWithinAt I' I'' n g t (f x)) (hf : ContMDiffWithinAt I I' n f s x) (st : MapsTo f s t) : ContMDiffWithinAt I I'' n (g ∘ f) s x := by rw [contMDiffWithinAt_iff] at hg hf ⊢ refine ⟨hg.1.comp hf.1 st, ?_⟩ set e := extChartAt I x set e' := extChartAt I' (f x) have : e' (f x) = (writtenInExtChartAt I I' x f) (e x) := by simp only [e, e', mfld_simps] rw [this] at hg have A : ∀ᶠ y in 𝓝[e.symm ⁻¹' s ∩ range I] e x, f (e.symm y) ∈ t ∧ f (e.symm y) ∈ e'.source := by simp only [e, ← map_extChartAt_nhdsWithin, eventually_map] filter_upwards [hf.1.tendsto (extChartAt_source_mem_nhds I' (f x)), inter_mem_nhdsWithin s (extChartAt_source_mem_nhds I x)] rintro x' (hfx' : f x' ∈ e'.source) ⟨hx's, hx'⟩ simp only [e.map_source hx', true_and_iff, e.left_inv hx', st hx's, *] refine ((hg.2.comp _ (hf.2.mono inter_subset_right) inter_subset_left).mono_of_mem (inter_mem ?_ self_mem_nhdsWithin)).congr_of_eventuallyEq ?_ ?_ · filter_upwards [A] rintro x' ⟨ht, hfx'⟩ simp only [*, mem_preimage, writtenInExtChartAt, (· ∘ ·), mem_inter_iff, e'.left_inv, true_and_iff] exact mem_range_self _ · filter_upwards [A] rintro x' ⟨-, hfx'⟩ simp only [*, (· ∘ ·), writtenInExtChartAt, e'.left_inv] · simp only [e, e', writtenInExtChartAt, (· ∘ ·), mem_extChartAt_source, e.left_inv, e'.left_inv] #align cont_mdiff_within_at.comp ContMDiffWithinAt.comp
Mathlib/Geometry/Manifold/ContMDiff/Basic.lean
81
84
theorem ContMDiffWithinAt.comp_of_eq {t : Set M'} {g : M' → M''} {x : M} {y : M'} (hg : ContMDiffWithinAt I' I'' n g t y) (hf : ContMDiffWithinAt I I' n f s x) (st : MapsTo f s t) (hx : f x = y) : ContMDiffWithinAt I I'' n (g ∘ f) s x := by
subst hx; exact hg.comp x hf st
import Mathlib.NumberTheory.SmoothNumbers import Mathlib.Analysis.PSeries open Set Nat open scoped Topology -- This needs `Mathlib.Analysis.RCLike.Basic`, so we put it here -- instead of in `Mathlib.NumberTheory.SmoothNumbers`. lemma Nat.roughNumbersUpTo_card_le' (N k : ℕ) : (roughNumbersUpTo N k).card ≤ N * (N.succ.primesBelow \ k.primesBelow).sum (fun p ↦ (1 : ℝ) / p) := by simp_rw [Finset.mul_sum, mul_one_div] exact (Nat.cast_le.mpr <| roughNumbersUpTo_card_le N k).trans <| (cast_sum (β := ℝ) ..) ▸ Finset.sum_le_sum fun n _ ↦ cast_div_le lemma one_half_le_sum_primes_ge_one_div (k : ℕ) : 1 / 2 ≤ ∑ p ∈ (4 ^ (k.primesBelow.card + 1)).succ.primesBelow \ k.primesBelow, (1 / p : ℝ) := by set m : ℕ := 2 ^ k.primesBelow.card set N₀ : ℕ := 2 * m ^ 2 with hN₀ let S : ℝ := ((2 * N₀).succ.primesBelow \ k.primesBelow).sum (fun p ↦ (1 / p : ℝ)) suffices 1 / 2 ≤ S by convert this using 5 rw [show 4 = 2 ^ 2 by norm_num, pow_right_comm] ring suffices 2 * N₀ ≤ m * (2 * N₀).sqrt + 2 * N₀ * S by rwa [hN₀, ← mul_assoc, ← pow_two 2, ← mul_pow, sqrt_eq', ← sub_le_iff_le_add', cast_mul, cast_mul, cast_pow, cast_two, show (2 * (2 * m ^ 2) - m * (2 * m) : ℝ) = 2 * (2 * m ^ 2) * (1 / 2) by ring, _root_.mul_le_mul_left <| by positivity] at this calc (2 * N₀ : ℝ) _ = ((2 * N₀).smoothNumbersUpTo k).card + ((2 * N₀).roughNumbersUpTo k).card := by exact_mod_cast ((2 * N₀).smoothNumbersUpTo_card_add_roughNumbersUpTo_card k).symm _ ≤ m * (2 * N₀).sqrt + ((2 * N₀).roughNumbersUpTo k).card := by exact_mod_cast Nat.add_le_add_right ((2 * N₀).smoothNumbersUpTo_card_le k) _ _ ≤ m * (2 * N₀).sqrt + 2 * N₀ * S := add_le_add_left ?_ _ exact_mod_cast roughNumbersUpTo_card_le' (2 * N₀) k theorem not_summable_one_div_on_primes : ¬ Summable (indicator {p | p.Prime} (fun n : ℕ ↦ (1 : ℝ) / n)) := by intro h obtain ⟨k, hk⟩ := h.nat_tsum_vanishing (Iio_mem_nhds one_half_pos : Iio (1 / 2 : ℝ) ∈ 𝓝 0) specialize hk ({p | Nat.Prime p} ∩ {p | k ≤ p}) inter_subset_right rw [tsum_subtype, indicator_indicator, inter_eq_left.mpr fun n hn ↦ hn.1, mem_Iio] at hk have h' : Summable (indicator ({p | Nat.Prime p} ∩ {p | k ≤ p}) fun n ↦ (1 : ℝ) / n) := by convert h.indicator {n : ℕ | k ≤ n} using 1 simp only [indicator_indicator, inter_comm] refine ((one_half_le_sum_primes_ge_one_div k).trans_lt <| LE.le.trans_lt ?_ hk).false convert sum_le_tsum (primesBelow ((4 ^ (k.primesBelow.card + 1)).succ) \ primesBelow k) (fun n _ ↦ indicator_nonneg (fun p _ ↦ by positivity) _) h' using 2 with p hp obtain ⟨hp₁, hp₂⟩ := mem_setOf_eq ▸ Finset.mem_sdiff.mp hp have hpp := prime_of_mem_primesBelow hp₁ refine (indicator_of_mem (mem_def.mpr ⟨hpp, ?_⟩) fun n : ℕ ↦ (1 / n : ℝ)).symm exact not_lt.mp <| (not_and_or.mp <| (not_congr mem_primesBelow).mp hp₂).neg_resolve_right hpp
Mathlib/NumberTheory/SumPrimeReciprocals.lean
82
83
theorem Nat.Primes.not_summable_one_div : ¬ Summable (fun p : Nat.Primes ↦ (1 / p : ℝ)) := by
convert summable_subtype_iff_indicator.mp.mt not_summable_one_div_on_primes
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]
Mathlib/Algebra/Group/Invertible/Defs.lean
141
142
theorem mul_mul_invOf_self_cancel' [Monoid α] (a b : α) {_ : Invertible b} : a * b * ⅟ b = a := by
simp [mul_assoc]
import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Nat.Factors import Mathlib.Order.Interval.Finset.Nat #align_import number_theory.divisors from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open scoped Classical open Finset namespace Nat variable (n : ℕ) def divisors : Finset ℕ := Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 (n + 1)) #align nat.divisors Nat.divisors def properDivisors : Finset ℕ := Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 n) #align nat.proper_divisors Nat.properDivisors def divisorsAntidiagonal : Finset (ℕ × ℕ) := Finset.filter (fun x => x.fst * x.snd = n) (Ico 1 (n + 1) ×ˢ Ico 1 (n + 1)) #align nat.divisors_antidiagonal Nat.divisorsAntidiagonal variable {n} @[simp] theorem filter_dvd_eq_divisors (h : n ≠ 0) : (Finset.range n.succ).filter (· ∣ n) = n.divisors := by ext simp only [divisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self] exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt) #align nat.filter_dvd_eq_divisors Nat.filter_dvd_eq_divisors @[simp] theorem filter_dvd_eq_properDivisors (h : n ≠ 0) : (Finset.range n).filter (· ∣ n) = n.properDivisors := by ext simp only [properDivisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self] exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt) #align nat.filter_dvd_eq_proper_divisors Nat.filter_dvd_eq_properDivisors theorem properDivisors.not_self_mem : ¬n ∈ properDivisors n := by simp [properDivisors] #align nat.proper_divisors.not_self_mem Nat.properDivisors.not_self_mem @[simp] theorem mem_properDivisors {m : ℕ} : n ∈ properDivisors m ↔ n ∣ m ∧ n < m := by rcases eq_or_ne m 0 with (rfl | hm); · simp [properDivisors] simp only [and_comm, ← filter_dvd_eq_properDivisors hm, mem_filter, mem_range] #align nat.mem_proper_divisors Nat.mem_properDivisors theorem insert_self_properDivisors (h : n ≠ 0) : insert n (properDivisors n) = divisors n := by rw [divisors, properDivisors, Ico_succ_right_eq_insert_Ico (one_le_iff_ne_zero.2 h), Finset.filter_insert, if_pos (dvd_refl n)] #align nat.insert_self_proper_divisors Nat.insert_self_properDivisors theorem cons_self_properDivisors (h : n ≠ 0) : cons n (properDivisors n) properDivisors.not_self_mem = divisors n := by rw [cons_eq_insert, insert_self_properDivisors h] #align nat.cons_self_proper_divisors Nat.cons_self_properDivisors @[simp] theorem mem_divisors {m : ℕ} : n ∈ divisors m ↔ n ∣ m ∧ m ≠ 0 := by rcases eq_or_ne m 0 with (rfl | hm); · simp [divisors] simp only [hm, Ne, not_false_iff, and_true_iff, ← filter_dvd_eq_divisors hm, mem_filter, mem_range, and_iff_right_iff_imp, Nat.lt_succ_iff] exact le_of_dvd hm.bot_lt #align nat.mem_divisors Nat.mem_divisors theorem one_mem_divisors : 1 ∈ divisors n ↔ n ≠ 0 := by simp #align nat.one_mem_divisors Nat.one_mem_divisors theorem mem_divisors_self (n : ℕ) (h : n ≠ 0) : n ∈ n.divisors := mem_divisors.2 ⟨dvd_rfl, h⟩ #align nat.mem_divisors_self Nat.mem_divisors_self theorem dvd_of_mem_divisors {m : ℕ} (h : n ∈ divisors m) : n ∣ m := by cases m · apply dvd_zero · simp [mem_divisors.1 h] #align nat.dvd_of_mem_divisors Nat.dvd_of_mem_divisors @[simp] theorem mem_divisorsAntidiagonal {x : ℕ × ℕ} : x ∈ divisorsAntidiagonal n ↔ x.fst * x.snd = n ∧ n ≠ 0 := by simp only [divisorsAntidiagonal, Finset.mem_Ico, Ne, Finset.mem_filter, Finset.mem_product] rw [and_comm] apply and_congr_right rintro rfl constructor <;> intro h · contrapose! h simp [h] · rw [Nat.lt_add_one_iff, Nat.lt_add_one_iff] rw [mul_eq_zero, not_or] at h simp only [succ_le_of_lt (Nat.pos_of_ne_zero h.1), succ_le_of_lt (Nat.pos_of_ne_zero h.2), true_and_iff] exact ⟨Nat.le_mul_of_pos_right _ (Nat.pos_of_ne_zero h.2), Nat.le_mul_of_pos_left _ (Nat.pos_of_ne_zero h.1)⟩ #align nat.mem_divisors_antidiagonal Nat.mem_divisorsAntidiagonal lemma ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.1 ≠ 0 ∧ p.2 ≠ 0 := by obtain ⟨hp₁, hp₂⟩ := Nat.mem_divisorsAntidiagonal.mp hp exact mul_ne_zero_iff.mp (hp₁.symm ▸ hp₂) lemma left_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.1 ≠ 0 := (ne_zero_of_mem_divisorsAntidiagonal hp).1 lemma right_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.2 ≠ 0 := (ne_zero_of_mem_divisorsAntidiagonal hp).2 theorem divisor_le {m : ℕ} : n ∈ divisors m → n ≤ m := by cases' m with m · simp · simp only [mem_divisors, Nat.succ_ne_zero m, and_true_iff, Ne, not_false_iff] exact Nat.le_of_dvd (Nat.succ_pos m) #align nat.divisor_le Nat.divisor_le theorem divisors_subset_of_dvd {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) : divisors m ⊆ divisors n := Finset.subset_iff.2 fun _x hx => Nat.mem_divisors.mpr ⟨(Nat.mem_divisors.mp hx).1.trans h, hzero⟩ #align nat.divisors_subset_of_dvd Nat.divisors_subset_of_dvd theorem divisors_subset_properDivisors {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) (hdiff : m ≠ n) : divisors m ⊆ properDivisors n := by apply Finset.subset_iff.2 intro x hx exact Nat.mem_properDivisors.2 ⟨(Nat.mem_divisors.1 hx).1.trans h, lt_of_le_of_lt (divisor_le hx) (lt_of_le_of_ne (divisor_le (Nat.mem_divisors.2 ⟨h, hzero⟩)) hdiff)⟩ #align nat.divisors_subset_proper_divisors Nat.divisors_subset_properDivisors lemma divisors_filter_dvd_of_dvd {n m : ℕ} (hn : n ≠ 0) (hm : m ∣ n) : (n.divisors.filter (· ∣ m)) = m.divisors := by ext k simp_rw [mem_filter, mem_divisors] exact ⟨fun ⟨_, hkm⟩ ↦ ⟨hkm, ne_zero_of_dvd_ne_zero hn hm⟩, fun ⟨hk, _⟩ ↦ ⟨⟨hk.trans hm, hn⟩, hk⟩⟩ @[simp] theorem divisors_zero : divisors 0 = ∅ := by ext simp #align nat.divisors_zero Nat.divisors_zero @[simp] theorem properDivisors_zero : properDivisors 0 = ∅ := by ext simp #align nat.proper_divisors_zero Nat.properDivisors_zero @[simp] lemma nonempty_divisors : (divisors n).Nonempty ↔ n ≠ 0 := ⟨fun ⟨m, hm⟩ hn ↦ by simp [hn] at hm, fun hn ↦ ⟨1, one_mem_divisors.2 hn⟩⟩ @[simp] lemma divisors_eq_empty : divisors n = ∅ ↔ n = 0 := not_nonempty_iff_eq_empty.symm.trans nonempty_divisors.not_left theorem properDivisors_subset_divisors : properDivisors n ⊆ divisors n := filter_subset_filter _ <| Ico_subset_Ico_right n.le_succ #align nat.proper_divisors_subset_divisors Nat.properDivisors_subset_divisors @[simp] theorem divisors_one : divisors 1 = {1} := by ext simp #align nat.divisors_one Nat.divisors_one @[simp] theorem properDivisors_one : properDivisors 1 = ∅ := by rw [properDivisors, Ico_self, filter_empty] #align nat.proper_divisors_one Nat.properDivisors_one theorem pos_of_mem_divisors {m : ℕ} (h : m ∈ n.divisors) : 0 < m := by cases m · rw [mem_divisors, zero_dvd_iff (a := n)] at h cases h.2 h.1 apply Nat.succ_pos #align nat.pos_of_mem_divisors Nat.pos_of_mem_divisors theorem pos_of_mem_properDivisors {m : ℕ} (h : m ∈ n.properDivisors) : 0 < m := pos_of_mem_divisors (properDivisors_subset_divisors h) #align nat.pos_of_mem_proper_divisors Nat.pos_of_mem_properDivisors theorem one_mem_properDivisors_iff_one_lt : 1 ∈ n.properDivisors ↔ 1 < n := by rw [mem_properDivisors, and_iff_right (one_dvd _)] #align nat.one_mem_proper_divisors_iff_one_lt Nat.one_mem_properDivisors_iff_one_lt @[simp] lemma sup_divisors_id (n : ℕ) : n.divisors.sup id = n := by refine le_antisymm (Finset.sup_le fun _ ↦ divisor_le) ?_ rcases Decidable.eq_or_ne n 0 with rfl | hn · apply zero_le · exact Finset.le_sup (f := id) <| mem_divisors_self n hn lemma one_lt_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) : 1 < n := lt_of_le_of_lt (pos_of_mem_properDivisors h) (mem_properDivisors.1 h).2 lemma one_lt_div_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) : 1 < n / m := by obtain ⟨h_dvd, h_lt⟩ := mem_properDivisors.mp h rwa [Nat.lt_div_iff_mul_lt h_dvd, mul_one] lemma mem_properDivisors_iff_exists {m n : ℕ} (hn : n ≠ 0) : m ∈ n.properDivisors ↔ ∃ k > 1, n = m * k := by refine ⟨fun h ↦ ⟨n / m, one_lt_div_of_mem_properDivisors h, ?_⟩, ?_⟩ · exact (Nat.mul_div_cancel' (mem_properDivisors.mp h).1).symm · rintro ⟨k, hk, rfl⟩ rw [mul_ne_zero_iff] at hn exact mem_properDivisors.mpr ⟨⟨k, rfl⟩, lt_mul_of_one_lt_right (Nat.pos_of_ne_zero hn.1) hk⟩ @[simp] lemma nonempty_properDivisors : n.properDivisors.Nonempty ↔ 1 < n := ⟨fun ⟨_m, hm⟩ ↦ one_lt_of_mem_properDivisors hm, fun hn ↦ ⟨1, one_mem_properDivisors_iff_one_lt.2 hn⟩⟩ @[simp] lemma properDivisors_eq_empty : n.properDivisors = ∅ ↔ n ≤ 1 := by rw [← not_nonempty_iff_eq_empty, nonempty_properDivisors, not_lt] @[simp] theorem divisorsAntidiagonal_zero : divisorsAntidiagonal 0 = ∅ := by ext simp #align nat.divisors_antidiagonal_zero Nat.divisorsAntidiagonal_zero @[simp] theorem divisorsAntidiagonal_one : divisorsAntidiagonal 1 = {(1, 1)} := by ext simp [mul_eq_one, Prod.ext_iff] #align nat.divisors_antidiagonal_one Nat.divisorsAntidiagonal_one -- @[simp] theorem swap_mem_divisorsAntidiagonal {x : ℕ × ℕ} : x.swap ∈ divisorsAntidiagonal n ↔ x ∈ divisorsAntidiagonal n := by rw [mem_divisorsAntidiagonal, mem_divisorsAntidiagonal, mul_comm, Prod.swap] #align nat.swap_mem_divisors_antidiagonal Nat.swap_mem_divisorsAntidiagonal -- Porting note: added below thm to replace the simp from the previous thm @[simp] theorem swap_mem_divisorsAntidiagonal_aux {x : ℕ × ℕ} : x.snd * x.fst = n ∧ ¬n = 0 ↔ x ∈ divisorsAntidiagonal n := by rw [mem_divisorsAntidiagonal, mul_comm] theorem fst_mem_divisors_of_mem_antidiagonal {x : ℕ × ℕ} (h : x ∈ divisorsAntidiagonal n) : x.fst ∈ divisors n := by rw [mem_divisorsAntidiagonal] at h simp [Dvd.intro _ h.1, h.2] #align nat.fst_mem_divisors_of_mem_antidiagonal Nat.fst_mem_divisors_of_mem_antidiagonal theorem snd_mem_divisors_of_mem_antidiagonal {x : ℕ × ℕ} (h : x ∈ divisorsAntidiagonal n) : x.snd ∈ divisors n := by rw [mem_divisorsAntidiagonal] at h simp [Dvd.intro_left _ h.1, h.2] #align nat.snd_mem_divisors_of_mem_antidiagonal Nat.snd_mem_divisors_of_mem_antidiagonal @[simp] theorem map_swap_divisorsAntidiagonal : (divisorsAntidiagonal n).map (Equiv.prodComm _ _).toEmbedding = divisorsAntidiagonal n := by rw [← coe_inj, coe_map, Equiv.coe_toEmbedding, Equiv.coe_prodComm, Set.image_swap_eq_preimage_swap] ext exact swap_mem_divisorsAntidiagonal #align nat.map_swap_divisors_antidiagonal Nat.map_swap_divisorsAntidiagonal @[simp] theorem image_fst_divisorsAntidiagonal : (divisorsAntidiagonal n).image Prod.fst = divisors n := by ext simp [Dvd.dvd, @eq_comm _ n (_ * _)] #align nat.image_fst_divisors_antidiagonal Nat.image_fst_divisorsAntidiagonal @[simp] theorem image_snd_divisorsAntidiagonal : (divisorsAntidiagonal n).image Prod.snd = divisors n := by rw [← map_swap_divisorsAntidiagonal, map_eq_image, image_image] exact image_fst_divisorsAntidiagonal #align nat.image_snd_divisors_antidiagonal Nat.image_snd_divisorsAntidiagonal
Mathlib/NumberTheory/Divisors.lean
319
330
theorem map_div_right_divisors : n.divisors.map ⟨fun d => (d, n / d), fun p₁ p₂ => congr_arg Prod.fst⟩ = n.divisorsAntidiagonal := by
ext ⟨d, nd⟩ simp only [mem_map, mem_divisorsAntidiagonal, Function.Embedding.coeFn_mk, mem_divisors, Prod.ext_iff, exists_prop, and_left_comm, exists_eq_left] constructor · rintro ⟨⟨⟨k, rfl⟩, hn⟩, rfl⟩ rw [Nat.mul_div_cancel_left _ (left_ne_zero_of_mul hn).bot_lt] exact ⟨rfl, hn⟩ · rintro ⟨rfl, hn⟩ exact ⟨⟨dvd_mul_right _ _, hn⟩, Nat.mul_div_cancel_left _ (left_ne_zero_of_mul hn).bot_lt⟩
import Mathlib.Data.ENNReal.Operations #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal namespace ENNReal noncomputable section Inv variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} protected theorem div_eq_inv_mul : a / b = b⁻¹ * a := by rw [div_eq_mul_inv, mul_comm] #align ennreal.div_eq_inv_mul ENNReal.div_eq_inv_mul @[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ := show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp #align ennreal.inv_zero ENNReal.inv_zero @[simp] theorem inv_top : ∞⁻¹ = 0 := bot_unique <| le_of_forall_le_of_dense fun a (h : 0 < a) => sInf_le <| by simp [*, h.ne', top_mul] #align ennreal.inv_top ENNReal.inv_top theorem coe_inv_le : (↑r⁻¹ : ℝ≥0∞) ≤ (↑r)⁻¹ := le_sInf fun b (hb : 1 ≤ ↑r * b) => coe_le_iff.2 <| by rintro b rfl apply NNReal.inv_le_of_le_mul rwa [← coe_mul, ← coe_one, coe_le_coe] at hb #align ennreal.coe_inv_le ENNReal.coe_inv_le @[simp, norm_cast] theorem coe_inv (hr : r ≠ 0) : (↑r⁻¹ : ℝ≥0∞) = (↑r)⁻¹ := coe_inv_le.antisymm <| sInf_le <| mem_setOf.2 <| by rw [← coe_mul, mul_inv_cancel hr, coe_one] #align ennreal.coe_inv ENNReal.coe_inv @[norm_cast] theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two] #align ennreal.coe_inv_two ENNReal.coe_inv_two @[simp, norm_cast] theorem coe_div (hr : r ≠ 0) : (↑(p / r) : ℝ≥0∞) = p / r := by rw [div_eq_mul_inv, div_eq_mul_inv, coe_mul, coe_inv hr] #align ennreal.coe_div ENNReal.coe_div lemma coe_div_le : ↑(p / r) ≤ (p / r : ℝ≥0∞) := by simpa only [div_eq_mul_inv, coe_mul] using mul_le_mul_left' coe_inv_le _
Mathlib/Data/ENNReal/Inv.lean
79
79
theorem div_zero (h : a ≠ 0) : a / 0 = ∞ := by
simp [div_eq_mul_inv, h]
import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Combinatorics.SimpleGraph.Maps #align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b" universe u v namespace SimpleGraph @[ext] structure Subgraph {V : Type u} (G : SimpleGraph V) where verts : Set V Adj : V → V → Prop adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously` #align simple_graph.subgraph SimpleGraph.Subgraph initialize_simps_projections SimpleGraph.Subgraph (Adj → adj) variable {ι : Sort*} {V : Type u} {W : Type v} @[simps] protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where verts := {v} Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm _ _ := False.elim #align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph @[simps] def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where verts := {v, w} Adj a b := s(v, w) = s(a, b) adj_sub h := by rw [← G.mem_edgeSet, ← h] exact hvw edge_vert {a b} h := by apply_fun fun e ↦ a ∈ e at h simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h exact h #align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj namespace Subgraph variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V} protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj := fun v h ↦ G.loopless v (G'.adj_sub h) #align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v := ⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩ #align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm @[symm] theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v := H.adj_sub h #align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts := H.edge_vert h #align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts := h.symm.fst_mem #align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v := h.adj_sub.ne #align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne @[simps] protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where Adj v w := G'.Adj v w symm _ _ h := G'.symm h loopless v h := loopless G v (G'.adj_sub h) #align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe @[simp] theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub -- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`. protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) : H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h #align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe def IsSpanning (G' : Subgraph G) : Prop := ∀ v : V, v ∈ G'.verts #align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ := Set.eq_univ_iff_forall.symm #align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff @[simps] protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where Adj := G'.Adj symm := G'.symm loopless v hv := G.loopless v (G'.adj_sub hv) #align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe @[simp] theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by simp [Subgraph.spanningCoe] #align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj @[simps] def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) : G'.spanningCoe ≃g G'.coe where toFun v := ⟨v, h v⟩ invFun v := v left_inv _ := rfl right_inv _ := rfl map_rel_iff' := Iff.rfl #align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning def IsInduced (G' : Subgraph G) : Prop := ∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w #align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced def support (H : Subgraph G) : Set V := Rel.dom H.Adj #align simple_graph.subgraph.support SimpleGraph.Subgraph.support theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts := fun _ ⟨_, h⟩ ↦ H.edge_vert h #align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w} #align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v := fun _ ↦ G'.adj_sub #align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts := fun _ h ↦ G'.edge_vert (adj_symm G' h) #align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts @[simp] theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) : G'.coe.neighborSet v ≃ G'.neighborSet v where toFun w := ⟨w, w.2⟩ invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩ left_inv _ := rfl right_inv _ := rfl #align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm #align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet := Sym2.ind (fun _ _ ↦ G'.adj_sub) #align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset @[simp] theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet) (hv : v ∈ e) : v ∈ G'.verts := by revert hv refine Sym2.ind (fun v w he ↦ ?_) e he intro hv rcases Sym2.mem_iff.mp hv with (rfl | rfl) · exact G'.edge_vert he · exact G'.edge_vert (G'.symm he) #align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e} #align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G.incidenceSet v := fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩ #align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet := fun _ h ↦ h.1 #align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩ #align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where verts := V'' Adj := adj' adj_sub := hadj.symm ▸ G'.adj_sub edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert symm := hadj.symm ▸ G'.symm #align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' := Subgraph.ext _ _ hV hadj #align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq instance : Sup G.Subgraph where sup G₁ G₂ := { verts := G₁.verts ∪ G₂.verts Adj := G₁.Adj ⊔ G₂.Adj adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm } instance : Inf G.Subgraph where inf G₁ G₂ := { verts := G₁.verts ∩ G₂.verts Adj := G₁.Adj ⊓ G₂.Adj adj_sub := fun hab => G₁.adj_sub hab.1 edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm } instance : Top G.Subgraph where top := { verts := Set.univ Adj := G.Adj adj_sub := id edge_vert := @fun v _ _ => Set.mem_univ v symm := G.symm } instance : Bot G.Subgraph where bot := { verts := ∅ Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm := fun _ _ => id } instance : SupSet G.Subgraph where sSup s := { verts := ⋃ G' ∈ s, verts G' Adj := fun a b => ∃ G' ∈ s, Adj G' a b adj_sub := by rintro a b ⟨G', -, hab⟩ exact G'.adj_sub hab edge_vert := by rintro a b ⟨G', hG', hab⟩ exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab) symm := fun a b h => by simpa [adj_comm] using h } instance : InfSet G.Subgraph where sInf s := { verts := ⋂ G' ∈ s, verts G' Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b adj_sub := And.right edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG' symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm } @[simp] theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj @[simp] theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj @[simp] theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b := Iff.rfl #align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj @[simp] theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b := not_false #align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj @[simp] theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts := rfl #align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup @[simp] theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts := rfl #align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf @[simp] theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ := rfl #align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top @[simp] theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ := rfl #align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot @[simp] theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b := Iff.rfl #align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj @[simp] theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b := Iff.rfl #align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj @[simp] theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup] #align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj @[simp] theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by simp [iInf] #align simple_graph.subgraph.infi_adj SimpleGraph.Subgraph.iInf_adj theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) : (sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b := sInf_adj.trans <| and_iff_left_of_imp <| by obtain ⟨G', hG'⟩ := hs exact fun h => G'.adj_sub (h _ hG') #align simple_graph.subgraph.Inf_adj_of_nonempty SimpleGraph.Subgraph.sInf_adj_of_nonempty theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)] simp #align simple_graph.subgraph.infi_adj_of_nonempty SimpleGraph.Subgraph.iInf_adj_of_nonempty @[simp] theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' := rfl #align simple_graph.subgraph.verts_Sup SimpleGraph.Subgraph.verts_sSup @[simp] theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' := rfl #align simple_graph.subgraph.verts_Inf SimpleGraph.Subgraph.verts_sInf @[simp] theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup] #align simple_graph.subgraph.verts_supr SimpleGraph.Subgraph.verts_iSup @[simp] theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf] #align simple_graph.subgraph.verts_infi SimpleGraph.Subgraph.verts_iInf theorem verts_spanningCoe_injective : (fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by intro G₁ G₂ h rw [Prod.ext_iff] at h exact Subgraph.ext _ _ h.1 (spanningCoe_inj.1 h.2) instance distribLattice : DistribLattice G.Subgraph := { show DistribLattice G.Subgraph from verts_spanningCoe_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl with le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w } instance : BoundedOrder (Subgraph G) where top := ⊤ bot := ⊥ le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩ bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩ -- Note that subgraphs do not form a Boolean algebra, because of `verts`. instance : CompletelyDistribLattice G.Subgraph := { Subgraph.distribLattice with le := (· ≤ ·) sup := (· ⊔ ·) inf := (· ⊓ ·) top := ⊤ bot := ⊥ le_top := fun G' => ⟨Set.subset_univ _, fun a b => G'.adj_sub⟩ bot_le := fun G' => ⟨Set.empty_subset _, fun a b => False.elim⟩ sSup := sSup -- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine. le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun a b hab => ⟨G', hG', hab⟩⟩ sSup_le := fun s G' hG' => ⟨Set.iUnion₂_subset fun H hH => (hG' _ hH).1, by rintro a b ⟨H, hH, hab⟩ exact (hG' _ hH).2 hab⟩ sInf := sInf sInf_le := fun s G' hG' => ⟨Set.iInter₂_subset G' hG', fun a b hab => hab.1 hG'⟩ le_sInf := fun s G' hG' => ⟨Set.subset_iInter₂ fun H hH => (hG' _ hH).1, fun a b hab => ⟨fun H hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩ iInf_iSup_eq := fun f => Subgraph.ext _ _ (by simpa using iInf_iSup_eq) (by ext; simp [Classical.skolem]) } @[simps] instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩ #align simple_graph.subgraph.subgraph_inhabited SimpleGraph.Subgraph.subgraphInhabited @[simp] theorem neighborSet_sup {H H' : G.Subgraph} (v : V) : (H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_sup SimpleGraph.Subgraph.neighborSet_sup @[simp] theorem neighborSet_inf {H H' : G.Subgraph} (v : V) : (H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_inf SimpleGraph.Subgraph.neighborSet_inf @[simp] theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_top SimpleGraph.Subgraph.neighborSet_top @[simp] theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl #align simple_graph.subgraph.neighbor_set_bot SimpleGraph.Subgraph.neighborSet_bot @[simp]
Mathlib/Combinatorics/SimpleGraph/Subgraph.lean
507
510
theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) : (sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by
ext simp
import Mathlib.Algebra.MonoidAlgebra.Division import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Induction import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Order.Interval.Finset.Nat #align_import data.polynomial.inductions from "leanprover-community/mathlib"@"57e09a1296bfb4330ddf6624f1028ba186117d82" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {a b : R} {n : ℕ} section Semiring variable [Semiring R] {p q : R[X]} def divX (p : R[X]) : R[X] := ⟨AddMonoidAlgebra.divOf p.toFinsupp 1⟩ set_option linter.uppercaseLean3 false in #align polynomial.div_X Polynomial.divX @[simp]
Mathlib/Algebra/Polynomial/Inductions.lean
45
46
theorem coeff_divX : (divX p).coeff n = p.coeff (n + 1) := by
rw [add_comm]; cases p; rfl
import Mathlib.Data.Part import Mathlib.Data.Rel #align_import data.pfun from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" open Function def PFun (α β : Type*) := α → Part β #align pfun PFun infixr:25 " →. " => PFun namespace PFun variable {α β γ δ ε ι : Type*} instance inhabited : Inhabited (α →. β) := ⟨fun _ => Part.none⟩ #align pfun.inhabited PFun.inhabited def Dom (f : α →. β) : Set α := { a | (f a).Dom } #align pfun.dom PFun.Dom @[simp] theorem mem_dom (f : α →. β) (x : α) : x ∈ Dom f ↔ ∃ y, y ∈ f x := by simp [Dom, Part.dom_iff_mem] #align pfun.mem_dom PFun.mem_dom @[simp] theorem dom_mk (p : α → Prop) (f : ∀ a, p a → β) : (PFun.Dom fun x => ⟨p x, f x⟩) = { x | p x } := rfl #align pfun.dom_mk PFun.dom_mk theorem dom_eq (f : α →. β) : Dom f = { x | ∃ y, y ∈ f x } := Set.ext (mem_dom f) #align pfun.dom_eq PFun.dom_eq def fn (f : α →. β) (a : α) : Dom f a → β := (f a).get #align pfun.fn PFun.fn @[simp] theorem fn_apply (f : α →. β) (a : α) : f.fn a = (f a).get := rfl #align pfun.fn_apply PFun.fn_apply def evalOpt (f : α →. β) [D : DecidablePred (· ∈ Dom f)] (x : α) : Option β := @Part.toOption _ _ (D x) #align pfun.eval_opt PFun.evalOpt theorem ext' {f g : α →. β} (H1 : ∀ a, a ∈ Dom f ↔ a ∈ Dom g) (H2 : ∀ a p q, f.fn a p = g.fn a q) : f = g := funext fun a => Part.ext' (H1 a) (H2 a) #align pfun.ext' PFun.ext' theorem ext {f g : α →. β} (H : ∀ a b, b ∈ f a ↔ b ∈ g a) : f = g := funext fun a => Part.ext (H a) #align pfun.ext PFun.ext def asSubtype (f : α →. β) (s : f.Dom) : β := f.fn s s.2 #align pfun.as_subtype PFun.asSubtype def equivSubtype : (α →. β) ≃ Σp : α → Prop, Subtype p → β := ⟨fun f => ⟨fun a => (f a).Dom, asSubtype f⟩, fun f x => ⟨f.1 x, fun h => f.2 ⟨x, h⟩⟩, fun f => funext fun a => Part.eta _, fun ⟨p, f⟩ => by dsimp; congr⟩ #align pfun.equiv_subtype PFun.equivSubtype theorem asSubtype_eq_of_mem {f : α →. β} {x : α} {y : β} (fxy : y ∈ f x) (domx : x ∈ f.Dom) : f.asSubtype ⟨x, domx⟩ = y := Part.mem_unique (Part.get_mem _) fxy #align pfun.as_subtype_eq_of_mem PFun.asSubtype_eq_of_mem @[coe] protected def lift (f : α → β) : α →. β := fun a => Part.some (f a) #align pfun.lift PFun.lift instance coe : Coe (α → β) (α →. β) := ⟨PFun.lift⟩ #align pfun.has_coe PFun.coe @[simp] theorem coe_val (f : α → β) (a : α) : (f : α →. β) a = Part.some (f a) := rfl #align pfun.coe_val PFun.coe_val @[simp] theorem dom_coe (f : α → β) : (f : α →. β).Dom = Set.univ := rfl #align pfun.dom_coe PFun.dom_coe theorem lift_injective : Injective (PFun.lift : (α → β) → α →. β) := fun _ _ h => funext fun a => Part.some_injective <| congr_fun h a #align pfun.coe_injective PFun.lift_injective def graph (f : α →. β) : Set (α × β) := { p | p.2 ∈ f p.1 } #align pfun.graph PFun.graph def graph' (f : α →. β) : Rel α β := fun x y => y ∈ f x #align pfun.graph' PFun.graph' def ran (f : α →. β) : Set β := { b | ∃ a, b ∈ f a } #align pfun.ran PFun.ran def restrict (f : α →. β) {p : Set α} (H : p ⊆ f.Dom) : α →. β := fun x => (f x).restrict (x ∈ p) (@H x) #align pfun.restrict PFun.restrict @[simp] theorem mem_restrict {f : α →. β} {s : Set α} (h : s ⊆ f.Dom) (a : α) (b : β) : b ∈ f.restrict h a ↔ a ∈ s ∧ b ∈ f a := by simp [restrict] #align pfun.mem_restrict PFun.mem_restrict def res (f : α → β) (s : Set α) : α →. β := (PFun.lift f).restrict s.subset_univ #align pfun.res PFun.res theorem mem_res (f : α → β) (s : Set α) (a : α) (b : β) : b ∈ res f s a ↔ a ∈ s ∧ f a = b := by simp [res, @eq_comm _ b] #align pfun.mem_res PFun.mem_res theorem res_univ (f : α → β) : PFun.res f Set.univ = f := rfl #align pfun.res_univ PFun.res_univ theorem dom_iff_graph (f : α →. β) (x : α) : x ∈ f.Dom ↔ ∃ y, (x, y) ∈ f.graph := Part.dom_iff_mem #align pfun.dom_iff_graph PFun.dom_iff_graph theorem lift_graph {f : α → β} {a b} : (a, b) ∈ (f : α →. β).graph ↔ f a = b := show (∃ _ : True, f a = b) ↔ f a = b by simp #align pfun.lift_graph PFun.lift_graph protected def pure (x : β) : α →. β := fun _ => Part.some x #align pfun.pure PFun.pure def bind (f : α →. β) (g : β → α →. γ) : α →. γ := fun a => (f a).bind fun b => g b a #align pfun.bind PFun.bind @[simp] theorem bind_apply (f : α →. β) (g : β → α →. γ) (a : α) : f.bind g a = (f a).bind fun b => g b a := rfl #align pfun.bind_apply PFun.bind_apply def map (f : β → γ) (g : α →. β) : α →. γ := fun a => (g a).map f #align pfun.map PFun.map instance monad : Monad (PFun α) where pure := PFun.pure bind := PFun.bind map := PFun.map #align pfun.monad PFun.monad instance lawfulMonad : LawfulMonad (PFun α) := LawfulMonad.mk' (bind_pure_comp := fun f x => funext fun a => Part.bind_some_eq_map _ _) (id_map := fun f => by funext a; dsimp [Functor.map, PFun.map]; cases f a; rfl) (pure_bind := fun x f => funext fun a => Part.bind_some _ (f x)) (bind_assoc := fun f g k => funext fun a => (f a).bind_assoc (fun b => g b a) fun b => k b a) #align pfun.is_lawful_monad PFun.lawfulMonad theorem pure_defined (p : Set α) (x : β) : p ⊆ (@PFun.pure α _ x).Dom := p.subset_univ #align pfun.pure_defined PFun.pure_defined theorem bind_defined {α β γ} (p : Set α) {f : α →. β} {g : β → α →. γ} (H1 : p ⊆ f.Dom) (H2 : ∀ x, p ⊆ (g x).Dom) : p ⊆ (f >>= g).Dom := fun a ha => (⟨H1 ha, H2 _ ha⟩ : (f >>= g).Dom a) #align pfun.bind_defined PFun.bind_defined def fix (f : α →. Sum β α) : α →. β := fun a => Part.assert (Acc (fun x y => Sum.inr x ∈ f y) a) fun h => WellFounded.fixF (fun a IH => Part.assert (f a).Dom fun hf => match e : (f a).get hf with | Sum.inl b => Part.some b | Sum.inr a' => IH a' ⟨hf, e⟩) a h #align pfun.fix PFun.fix
Mathlib/Data/PFun.lean
261
263
theorem dom_of_mem_fix {f : α →. Sum β α} {a : α} {b : β} (h : b ∈ f.fix a) : (f a).Dom := by
let ⟨h₁, h₂⟩ := Part.mem_assert_iff.1 h rw [WellFounded.fixFEq] at h₂; exact h₂.fst.fst
import Mathlib.MeasureTheory.Measure.AEMeasurable #align_import dynamics.ergodic.measure_preserving from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" variable {α β γ δ : Type*} [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ] namespace MeasureTheory open Measure Function Set variable {μa : Measure α} {μb : Measure β} {μc : Measure γ} {μd : Measure δ} structure MeasurePreserving (f : α → β) (μa : Measure α := by volume_tac) (μb : Measure β := by volume_tac) : Prop where protected measurable : Measurable f protected map_eq : map f μa = μb #align measure_theory.measure_preserving MeasureTheory.MeasurePreserving #align measure_theory.measure_preserving.measurable MeasureTheory.MeasurePreserving.measurable #align measure_theory.measure_preserving.map_eq MeasureTheory.MeasurePreserving.map_eq protected theorem _root_.Measurable.measurePreserving {f : α → β} (h : Measurable f) (μa : Measure α) : MeasurePreserving f μa (map f μa) := ⟨h, rfl⟩ #align measurable.measure_preserving Measurable.measurePreserving namespace MeasurePreserving protected theorem id (μ : Measure α) : MeasurePreserving id μ μ := ⟨measurable_id, map_id⟩ #align measure_theory.measure_preserving.id MeasureTheory.MeasurePreserving.id protected theorem aemeasurable {f : α → β} (hf : MeasurePreserving f μa μb) : AEMeasurable f μa := hf.1.aemeasurable #align measure_theory.measure_preserving.ae_measurable MeasureTheory.MeasurePreserving.aemeasurable @[nontriviality] theorem of_isEmpty [IsEmpty β] (f : α → β) (μa : Measure α) (μb : Measure β) : MeasurePreserving f μa μb := ⟨measurable_of_subsingleton_codomain _, Subsingleton.elim _ _⟩ theorem symm (e : α ≃ᵐ β) {μa : Measure α} {μb : Measure β} (h : MeasurePreserving e μa μb) : MeasurePreserving e.symm μb μa := ⟨e.symm.measurable, by rw [← h.map_eq, map_map e.symm.measurable e.measurable, e.symm_comp_self, map_id]⟩ #align measure_theory.measure_preserving.symm MeasureTheory.MeasurePreserving.symm theorem restrict_preimage {f : α → β} (hf : MeasurePreserving f μa μb) {s : Set β} (hs : MeasurableSet s) : MeasurePreserving f (μa.restrict (f ⁻¹' s)) (μb.restrict s) := ⟨hf.measurable, by rw [← hf.map_eq, restrict_map hf.measurable hs]⟩ #align measure_theory.measure_preserving.restrict_preimage MeasureTheory.MeasurePreserving.restrict_preimage theorem restrict_preimage_emb {f : α → β} (hf : MeasurePreserving f μa μb) (h₂ : MeasurableEmbedding f) (s : Set β) : MeasurePreserving f (μa.restrict (f ⁻¹' s)) (μb.restrict s) := ⟨hf.measurable, by rw [← hf.map_eq, h₂.restrict_map]⟩ #align measure_theory.measure_preserving.restrict_preimage_emb MeasureTheory.MeasurePreserving.restrict_preimage_emb theorem restrict_image_emb {f : α → β} (hf : MeasurePreserving f μa μb) (h₂ : MeasurableEmbedding f) (s : Set α) : MeasurePreserving f (μa.restrict s) (μb.restrict (f '' s)) := by simpa only [Set.preimage_image_eq _ h₂.injective] using hf.restrict_preimage_emb h₂ (f '' s) #align measure_theory.measure_preserving.restrict_image_emb MeasureTheory.MeasurePreserving.restrict_image_emb
Mathlib/Dynamics/Ergodic/MeasurePreserving.lean
92
94
theorem aemeasurable_comp_iff {f : α → β} (hf : MeasurePreserving f μa μb) (h₂ : MeasurableEmbedding f) {g : β → γ} : AEMeasurable (g ∘ f) μa ↔ AEMeasurable g μb := by
rw [← hf.map_eq, h₂.aemeasurable_map_iff]
import Mathlib.Combinatorics.SimpleGraph.Clique import Mathlib.Data.ENat.Lattice import Mathlib.Data.Nat.Lattice import Mathlib.Data.Setoid.Partition import Mathlib.Order.Antichain #align_import combinatorics.simple_graph.coloring from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open Fintype Function universe u v namespace SimpleGraph variable {V : Type u} (G : SimpleGraph V) {n : ℕ} abbrev Coloring (α : Type v) := G →g (⊤ : SimpleGraph α) #align simple_graph.coloring SimpleGraph.Coloring variable {G} {α β : Type*} (C : G.Coloring α) theorem Coloring.valid {v w : V} (h : G.Adj v w) : C v ≠ C w := C.map_rel h #align simple_graph.coloring.valid SimpleGraph.Coloring.valid @[match_pattern] def Coloring.mk (color : V → α) (valid : ∀ {v w : V}, G.Adj v w → color v ≠ color w) : G.Coloring α := ⟨color, @valid⟩ #align simple_graph.coloring.mk SimpleGraph.Coloring.mk def Coloring.colorClass (c : α) : Set V := { v : V | C v = c } #align simple_graph.coloring.color_class SimpleGraph.Coloring.colorClass def Coloring.colorClasses : Set (Set V) := (Setoid.ker C).classes #align simple_graph.coloring.color_classes SimpleGraph.Coloring.colorClasses theorem Coloring.mem_colorClass (v : V) : v ∈ C.colorClass (C v) := rfl #align simple_graph.coloring.mem_color_class SimpleGraph.Coloring.mem_colorClass theorem Coloring.colorClasses_isPartition : Setoid.IsPartition C.colorClasses := Setoid.isPartition_classes (Setoid.ker C) #align simple_graph.coloring.color_classes_is_partition SimpleGraph.Coloring.colorClasses_isPartition theorem Coloring.mem_colorClasses {v : V} : C.colorClass (C v) ∈ C.colorClasses := ⟨v, rfl⟩ #align simple_graph.coloring.mem_color_classes SimpleGraph.Coloring.mem_colorClasses theorem Coloring.colorClasses_finite [Finite α] : C.colorClasses.Finite := Setoid.finite_classes_ker _ #align simple_graph.coloring.color_classes_finite SimpleGraph.Coloring.colorClasses_finite theorem Coloring.card_colorClasses_le [Fintype α] [Fintype C.colorClasses] : Fintype.card C.colorClasses ≤ Fintype.card α := by simp [colorClasses] -- Porting note: brute force instance declaration `[Fintype (Setoid.classes (Setoid.ker C))]` haveI : Fintype (Setoid.classes (Setoid.ker C)) := by assumption convert Setoid.card_classes_ker_le C #align simple_graph.coloring.card_color_classes_le SimpleGraph.Coloring.card_colorClasses_le theorem Coloring.not_adj_of_mem_colorClass {c : α} {v w : V} (hv : v ∈ C.colorClass c) (hw : w ∈ C.colorClass c) : ¬G.Adj v w := fun h => C.valid h (Eq.trans hv (Eq.symm hw)) #align simple_graph.coloring.not_adj_of_mem_color_class SimpleGraph.Coloring.not_adj_of_mem_colorClass theorem Coloring.color_classes_independent (c : α) : IsAntichain G.Adj (C.colorClass c) := fun _ hv _ hw _ => C.not_adj_of_mem_colorClass hv hw #align simple_graph.coloring.color_classes_independent SimpleGraph.Coloring.color_classes_independent -- TODO make this computable noncomputable instance [Fintype V] [Fintype α] : Fintype (Coloring G α) := by classical change Fintype (RelHom G.Adj (⊤ : SimpleGraph α).Adj) apply Fintype.ofInjective _ RelHom.coe_fn_injective variable (G) def Colorable (n : ℕ) : Prop := Nonempty (G.Coloring (Fin n)) #align simple_graph.colorable SimpleGraph.Colorable def coloringOfIsEmpty [IsEmpty V] : G.Coloring α := Coloring.mk isEmptyElim fun {v} => isEmptyElim v #align simple_graph.coloring_of_is_empty SimpleGraph.coloringOfIsEmpty theorem colorable_of_isEmpty [IsEmpty V] (n : ℕ) : G.Colorable n := ⟨G.coloringOfIsEmpty⟩ #align simple_graph.colorable_of_is_empty SimpleGraph.colorable_of_isEmpty theorem isEmpty_of_colorable_zero (h : G.Colorable 0) : IsEmpty V := by constructor intro v obtain ⟨i, hi⟩ := h.some v exact Nat.not_lt_zero _ hi #align simple_graph.is_empty_of_colorable_zero SimpleGraph.isEmpty_of_colorable_zero def selfColoring : G.Coloring V := Coloring.mk id fun {_ _} => G.ne_of_adj #align simple_graph.self_coloring SimpleGraph.selfColoring noncomputable def chromaticNumber : ℕ∞ := ⨅ n ∈ setOf G.Colorable, (n : ℕ∞) #align simple_graph.chromatic_number SimpleGraph.chromaticNumber lemma chromaticNumber_eq_biInf {G : SimpleGraph V} : G.chromaticNumber = ⨅ n ∈ setOf G.Colorable, (n : ℕ∞) := rfl lemma chromaticNumber_eq_iInf {G : SimpleGraph V} : G.chromaticNumber = ⨅ n : {m | G.Colorable m}, (n : ℕ∞) := by rw [chromaticNumber, iInf_subtype] lemma Colorable.chromaticNumber_eq_sInf {G : SimpleGraph V} {n} (h : G.Colorable n) : G.chromaticNumber = sInf {n' : ℕ | G.Colorable n'} := by rw [ENat.coe_sInf, chromaticNumber] exact ⟨_, h⟩ def recolorOfEmbedding {α β : Type*} (f : α ↪ β) : G.Coloring α ↪ G.Coloring β where toFun C := (Embedding.completeGraph f).toHom.comp C inj' := by -- this was strangely painful; seems like missing lemmas about embeddings intro C C' h dsimp only at h ext v apply (Embedding.completeGraph f).inj' change ((Embedding.completeGraph f).toHom.comp C) v = _ rw [h] rfl #align simple_graph.recolor_of_embedding SimpleGraph.recolorOfEmbedding @[simp] lemma coe_recolorOfEmbedding (f : α ↪ β) : ⇑(G.recolorOfEmbedding f) = (Embedding.completeGraph f).toHom.comp := rfl def recolorOfEquiv {α β : Type*} (f : α ≃ β) : G.Coloring α ≃ G.Coloring β where toFun := G.recolorOfEmbedding f.toEmbedding invFun := G.recolorOfEmbedding f.symm.toEmbedding left_inv C := by ext v apply Equiv.symm_apply_apply right_inv C := by ext v apply Equiv.apply_symm_apply #align simple_graph.recolor_of_equiv SimpleGraph.recolorOfEquiv @[simp] lemma coe_recolorOfEquiv (f : α ≃ β) : ⇑(G.recolorOfEquiv f) = (Embedding.completeGraph f).toHom.comp := rfl noncomputable def recolorOfCardLE {α β : Type*} [Fintype α] [Fintype β] (hn : Fintype.card α ≤ Fintype.card β) : G.Coloring α ↪ G.Coloring β := G.recolorOfEmbedding <| (Function.Embedding.nonempty_of_card_le hn).some #align simple_graph.recolor_of_card_le SimpleGraph.recolorOfCardLE @[simp] lemma coe_recolorOfCardLE [Fintype α] [Fintype β] (hαβ : card α ≤ card β) : ⇑(G.recolorOfCardLE hαβ) = (Embedding.completeGraph (Embedding.nonempty_of_card_le hαβ).some).toHom.comp := rfl variable {G} theorem Colorable.mono {n m : ℕ} (h : n ≤ m) (hc : G.Colorable n) : G.Colorable m := ⟨G.recolorOfCardLE (by simp [h]) hc.some⟩ #align simple_graph.colorable.mono SimpleGraph.Colorable.mono theorem Coloring.colorable [Fintype α] (C : G.Coloring α) : G.Colorable (Fintype.card α) := ⟨G.recolorOfCardLE (by simp) C⟩ #align simple_graph.coloring.to_colorable SimpleGraph.Coloring.colorable theorem colorable_of_fintype (G : SimpleGraph V) [Fintype V] : G.Colorable (Fintype.card V) := G.selfColoring.colorable #align simple_graph.colorable_of_fintype SimpleGraph.colorable_of_fintype noncomputable def Colorable.toColoring [Fintype α] {n : ℕ} (hc : G.Colorable n) (hn : n ≤ Fintype.card α) : G.Coloring α := by rw [← Fintype.card_fin n] at hn exact G.recolorOfCardLE hn hc.some #align simple_graph.colorable.to_coloring SimpleGraph.Colorable.toColoring theorem Colorable.of_embedding {V' : Type*} {G' : SimpleGraph V'} (f : G ↪g G') {n : ℕ} (h : G'.Colorable n) : G.Colorable n := ⟨(h.toColoring (by simp)).comp f⟩ #align simple_graph.colorable.of_embedding SimpleGraph.Colorable.of_embedding theorem colorable_iff_exists_bdd_nat_coloring (n : ℕ) : G.Colorable n ↔ ∃ C : G.Coloring ℕ, ∀ v, C v < n := by constructor · rintro hc have C : G.Coloring (Fin n) := hc.toColoring (by simp) let f := Embedding.completeGraph (@Fin.valEmbedding n) use f.toHom.comp C intro v cases' C with color valid exact Fin.is_lt (color v) · rintro ⟨C, Cf⟩ refine ⟨Coloring.mk ?_ ?_⟩ · exact fun v => ⟨C v, Cf v⟩ · rintro v w hvw simp only [Fin.mk_eq_mk, Ne] exact C.valid hvw #align simple_graph.colorable_iff_exists_bdd_nat_coloring SimpleGraph.colorable_iff_exists_bdd_nat_coloring theorem colorable_set_nonempty_of_colorable {n : ℕ} (hc : G.Colorable n) : { n : ℕ | G.Colorable n }.Nonempty := ⟨n, hc⟩ #align simple_graph.colorable_set_nonempty_of_colorable SimpleGraph.colorable_set_nonempty_of_colorable theorem chromaticNumber_bddBelow : BddBelow { n : ℕ | G.Colorable n } := ⟨0, fun _ _ => zero_le _⟩ #align simple_graph.chromatic_number_bdd_below SimpleGraph.chromaticNumber_bddBelow theorem Colorable.chromaticNumber_le {n : ℕ} (hc : G.Colorable n) : G.chromaticNumber ≤ n := by rw [hc.chromaticNumber_eq_sInf] norm_cast apply csInf_le chromaticNumber_bddBelow exact hc #align simple_graph.chromatic_number_le_of_colorable SimpleGraph.Colorable.chromaticNumber_le theorem chromaticNumber_ne_top_iff_exists : G.chromaticNumber ≠ ⊤ ↔ ∃ n, G.Colorable n := by rw [chromaticNumber] convert_to ⨅ n : {m | G.Colorable m}, (n : ℕ∞) ≠ ⊤ ↔ _ · rw [iInf_subtype] rw [← lt_top_iff_ne_top, ENat.iInf_coe_lt_top] simp theorem chromaticNumber_le_iff_colorable {n : ℕ} : G.chromaticNumber ≤ n ↔ G.Colorable n := by refine ⟨fun h ↦ ?_, Colorable.chromaticNumber_le⟩ have : G.chromaticNumber ≠ ⊤ := (trans h (WithTop.coe_lt_top n)).ne rw [chromaticNumber_ne_top_iff_exists] at this obtain ⟨m, hm⟩ := this rw [hm.chromaticNumber_eq_sInf, Nat.cast_le] at h have := Nat.sInf_mem (⟨m, hm⟩ : {n' | G.Colorable n'}.Nonempty) rw [Set.mem_setOf_eq] at this exact this.mono h @[deprecated Colorable.chromaticNumber_le (since := "2024-03-21")] theorem chromaticNumber_le_card [Fintype α] (C : G.Coloring α) : G.chromaticNumber ≤ Fintype.card α := C.colorable.chromaticNumber_le #align simple_graph.chromatic_number_le_card SimpleGraph.chromaticNumber_le_card theorem colorable_chromaticNumber {m : ℕ} (hc : G.Colorable m) : G.Colorable (ENat.toNat G.chromaticNumber) := by classical rw [hc.chromaticNumber_eq_sInf, Nat.sInf_def] · apply Nat.find_spec · exact colorable_set_nonempty_of_colorable hc #align simple_graph.colorable_chromatic_number SimpleGraph.colorable_chromaticNumber theorem colorable_chromaticNumber_of_fintype (G : SimpleGraph V) [Finite V] : G.Colorable (ENat.toNat G.chromaticNumber) := by cases nonempty_fintype V exact colorable_chromaticNumber G.colorable_of_fintype #align simple_graph.colorable_chromatic_number_of_fintype SimpleGraph.colorable_chromaticNumber_of_fintype theorem chromaticNumber_le_one_of_subsingleton (G : SimpleGraph V) [Subsingleton V] : G.chromaticNumber ≤ 1 := by rw [← Nat.cast_one, chromaticNumber_le_iff_colorable] refine ⟨Coloring.mk (fun _ => 0) ?_⟩ intros v w cases Subsingleton.elim v w simp #align simple_graph.chromatic_number_le_one_of_subsingleton SimpleGraph.chromaticNumber_le_one_of_subsingleton theorem chromaticNumber_eq_zero_of_isempty (G : SimpleGraph V) [IsEmpty V] : G.chromaticNumber = 0 := by rw [← nonpos_iff_eq_zero, ← Nat.cast_zero, chromaticNumber_le_iff_colorable] apply colorable_of_isEmpty #align simple_graph.chromatic_number_eq_zero_of_isempty SimpleGraph.chromaticNumber_eq_zero_of_isempty theorem isEmpty_of_chromaticNumber_eq_zero (G : SimpleGraph V) [Finite V] (h : G.chromaticNumber = 0) : IsEmpty V := by have h' := G.colorable_chromaticNumber_of_fintype rw [h] at h' exact G.isEmpty_of_colorable_zero h' #align simple_graph.is_empty_of_chromatic_number_eq_zero SimpleGraph.isEmpty_of_chromaticNumber_eq_zero
Mathlib/Combinatorics/SimpleGraph/Coloring.lean
341
349
theorem chromaticNumber_pos [Nonempty V] {n : ℕ} (hc : G.Colorable n) : 0 < G.chromaticNumber := by
rw [hc.chromaticNumber_eq_sInf, Nat.cast_pos] apply le_csInf (colorable_set_nonempty_of_colorable hc) intro m hm by_contra h' simp only [not_le] at h' obtain ⟨i, hi⟩ := hm.some (Classical.arbitrary V) have h₁: i < 0 := lt_of_lt_of_le hi (Nat.le_of_lt_succ h') exact Nat.not_lt_zero _ h₁
import Mathlib.Data.Finset.Fin import Mathlib.Data.Int.Order.Units import Mathlib.GroupTheory.OrderOfElement import Mathlib.GroupTheory.Perm.Support import Mathlib.Logic.Equiv.Fintype #align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u v open Equiv Function Fintype Finset variable {α : Type u} {β : Type v} -- An example on how to determine the order of an element of a finite group. example : orderOf (-1 : ℤˣ) = 2 := orderOf_eq_prime (Int.units_sq _) (by decide) namespace Equiv.Perm theorem perm_inv_on_of_perm_on_finset {s : Finset α} {f : Perm α} (h : ∀ x ∈ s, f x ∈ s) {y : α} (hy : y ∈ s) : f⁻¹ y ∈ s := by have h0 : ∀ y ∈ s, ∃ (x : _) (hx : x ∈ s), y = (fun i (_ : i ∈ s) => f i) x hx := Finset.surj_on_of_inj_on_of_card_le (fun x hx => (fun i _ => f i) x hx) (fun a ha => h a ha) (fun a₁ a₂ ha₁ ha₂ heq => (Equiv.apply_eq_iff_eq f).mp heq) rfl.ge obtain ⟨y2, hy2, heq⟩ := h0 y hy convert hy2 rw [heq] simp only [inv_apply_self] #align equiv.perm.perm_inv_on_of_perm_on_finset Equiv.Perm.perm_inv_on_of_perm_on_finset theorem perm_inv_mapsTo_of_mapsTo (f : Perm α) {s : Set α} [Finite s] (h : Set.MapsTo f s s) : Set.MapsTo (f⁻¹ : _) s s := by cases nonempty_fintype s exact fun x hx => Set.mem_toFinset.mp <| perm_inv_on_of_perm_on_finset (fun a ha => Set.mem_toFinset.mpr (h (Set.mem_toFinset.mp ha))) (Set.mem_toFinset.mpr hx) #align equiv.perm.perm_inv_maps_to_of_maps_to Equiv.Perm.perm_inv_mapsTo_of_mapsTo @[simp] theorem perm_inv_mapsTo_iff_mapsTo {f : Perm α} {s : Set α} [Finite s] : Set.MapsTo (f⁻¹ : _) s s ↔ Set.MapsTo f s s := ⟨perm_inv_mapsTo_of_mapsTo f⁻¹, perm_inv_mapsTo_of_mapsTo f⟩ #align equiv.perm.perm_inv_maps_to_iff_maps_to Equiv.Perm.perm_inv_mapsTo_iff_mapsTo theorem perm_inv_on_of_perm_on_finite {f : Perm α} {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) {x : α} (hx : p x) : p (f⁻¹ x) := -- Porting note: relies heavily on the definitions of `Subtype` and `setOf` unfolding to their -- underlying predicate. have : Finite { x | p x } := ‹_› perm_inv_mapsTo_of_mapsTo (s := {x | p x}) f h hx #align equiv.perm.perm_inv_on_of_perm_on_finite Equiv.Perm.perm_inv_on_of_perm_on_finite abbrev subtypePermOfFintype (f : Perm α) {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) : Perm { x // p x } := f.subtypePerm fun x => ⟨h x, fun h₂ => f.inv_apply_self x ▸ perm_inv_on_of_perm_on_finite h h₂⟩ #align equiv.perm.subtype_perm_of_fintype Equiv.Perm.subtypePermOfFintype @[simp] theorem subtypePermOfFintype_apply (f : Perm α) {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) (x : { x // p x }) : subtypePermOfFintype f h x = ⟨f x, h x x.2⟩ := rfl #align equiv.perm.subtype_perm_of_fintype_apply Equiv.Perm.subtypePermOfFintype_apply theorem subtypePermOfFintype_one (p : α → Prop) [Finite { x // p x }] (h : ∀ x, p x → p ((1 : Perm α) x)) : @subtypePermOfFintype α 1 p _ h = 1 := rfl #align equiv.perm.subtype_perm_of_fintype_one Equiv.Perm.subtypePermOfFintype_one theorem perm_mapsTo_inl_iff_mapsTo_inr {m n : Type*} [Finite m] [Finite n] (σ : Perm (Sum m n)) : Set.MapsTo σ (Set.range Sum.inl) (Set.range Sum.inl) ↔ Set.MapsTo σ (Set.range Sum.inr) (Set.range Sum.inr) := by constructor <;> ( intro h classical rw [← perm_inv_mapsTo_iff_mapsTo] at h intro x cases' hx : σ x with l r) · rintro ⟨a, rfl⟩ obtain ⟨y, hy⟩ := h ⟨l, rfl⟩ rw [← hx, σ.inv_apply_self] at hy exact absurd hy Sum.inl_ne_inr · rintro _; exact ⟨r, rfl⟩ · rintro _; exact ⟨l, rfl⟩ · rintro ⟨a, rfl⟩ obtain ⟨y, hy⟩ := h ⟨r, rfl⟩ rw [← hx, σ.inv_apply_self] at hy exact absurd hy Sum.inr_ne_inl #align equiv.perm.perm_maps_to_inl_iff_maps_to_inr Equiv.Perm.perm_mapsTo_inl_iff_mapsTo_inr theorem mem_sumCongrHom_range_of_perm_mapsTo_inl {m n : Type*} [Finite m] [Finite n] {σ : Perm (Sum m n)} (h : Set.MapsTo σ (Set.range Sum.inl) (Set.range Sum.inl)) : σ ∈ (sumCongrHom m n).range := by classical have h1 : ∀ x : Sum m n, (∃ a : m, Sum.inl a = x) → ∃ a : m, Sum.inl a = σ x := by rintro x ⟨a, ha⟩ apply h rw [← ha] exact ⟨a, rfl⟩ have h3 : ∀ x : Sum m n, (∃ b : n, Sum.inr b = x) → ∃ b : n, Sum.inr b = σ x := by rintro x ⟨b, hb⟩ apply (perm_mapsTo_inl_iff_mapsTo_inr σ).mp h rw [← hb] exact ⟨b, rfl⟩ let σ₁' := subtypePermOfFintype σ h1 let σ₂' := subtypePermOfFintype σ h3 let σ₁ := permCongr (Equiv.ofInjective _ Sum.inl_injective).symm σ₁' let σ₂ := permCongr (Equiv.ofInjective _ Sum.inr_injective).symm σ₂' rw [MonoidHom.mem_range, Prod.exists] use σ₁, σ₂ rw [Perm.sumCongrHom_apply] ext x cases' x with a b · rw [Equiv.sumCongr_apply, Sum.map_inl, permCongr_apply, Equiv.symm_symm, apply_ofInjective_symm Sum.inl_injective] rw [ofInjective_apply, Subtype.coe_mk, Subtype.coe_mk] -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [subtypePerm_apply] · rw [Equiv.sumCongr_apply, Sum.map_inr, permCongr_apply, Equiv.symm_symm, apply_ofInjective_symm Sum.inr_injective] erw [subtypePerm_apply] rw [ofInjective_apply, Subtype.coe_mk, Subtype.coe_mk] #align equiv.perm.mem_sum_congr_hom_range_of_perm_maps_to_inl Equiv.Perm.mem_sumCongrHom_range_of_perm_mapsTo_inl nonrec theorem Disjoint.orderOf {σ τ : Perm α} (hστ : Disjoint σ τ) : orderOf (σ * τ) = Nat.lcm (orderOf σ) (orderOf τ) := haveI h : ∀ n : ℕ, (σ * τ) ^ n = 1 ↔ σ ^ n = 1 ∧ τ ^ n = 1 := fun n => by rw [hστ.commute.mul_pow, Disjoint.mul_eq_one_iff (hστ.pow_disjoint_pow n n)] Nat.dvd_antisymm hστ.commute.orderOf_mul_dvd_lcm (Nat.lcm_dvd (orderOf_dvd_of_pow_eq_one ((h (orderOf (σ * τ))).mp (pow_orderOf_eq_one (σ * τ))).1) (orderOf_dvd_of_pow_eq_one ((h (orderOf (σ * τ))).mp (pow_orderOf_eq_one (σ * τ))).2)) #align equiv.perm.disjoint.order_of Equiv.Perm.Disjoint.orderOf
Mathlib/GroupTheory/Perm/Finite.lean
176
184
theorem Disjoint.extendDomain {p : β → Prop} [DecidablePred p] (f : α ≃ Subtype p) {σ τ : Perm α} (h : Disjoint σ τ) : Disjoint (σ.extendDomain f) (τ.extendDomain f) := by
intro b by_cases pb : p b · refine (h (f.symm ⟨b, pb⟩)).imp ?_ ?_ <;> · intro h rw [extendDomain_apply_subtype _ _ pb, h, apply_symm_apply, Subtype.coe_mk] · left rw [extendDomain_apply_not_subtype _ _ pb]
import Mathlib.Geometry.RingedSpace.PresheafedSpace import Mathlib.CategoryTheory.Limits.Final import Mathlib.Topology.Sheaves.Stalks #align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section universe v u v' u' open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits AlgebraicGeometry TopologicalSpace variable {C : Type u} [Category.{v} C] [HasColimits C] -- Porting note: no tidy tactic -- attribute [local tidy] tactic.auto_cases_opens -- this could be replaced by -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- but it doesn't appear to be needed here. open TopCat.Presheaf namespace AlgebraicGeometry.PresheafedSpace abbrev stalk (X : PresheafedSpace C) (x : X) : C := X.presheaf.stalk x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) : Y.stalk (α.base x) ⟶ X.stalk x := (stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap @[elementwise, reassoc] theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y) (x : (Opens.map α.base).obj U) : Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map_germ AlgebraicGeometry.PresheafedSpace.stalkMap_germ @[simp, elementwise, reassoc] theorem stalkMap_germ' {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y) (x : X) (hx : α.base x ∈ U) : Y.presheaf.germ ⟨α.base x, hx⟩ ≫ stalkMap α x = α.c.app (op U) ≫ X.presheaf.germ (U := (Opens.map α.base).obj U) ⟨x, hx⟩ := PresheafedSpace.stalkMap_germ α U ⟨x, hx⟩ namespace stalkMap @[simp] theorem id (X : PresheafedSpace.{_, _, v} C) (x : X) : stalkMap (𝟙 X) x = 𝟙 (X.stalk x) := by dsimp [stalkMap] simp only [stalkPushforward.id] erw [← map_comp] convert (stalkFunctor C x).map_id X.presheaf ext simp only [id_c, id_comp, Pushforward.id_hom_app, op_obj, eqToHom_refl, map_id] rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map.id AlgebraicGeometry.PresheafedSpace.stalkMap.id @[simp] theorem comp {X Y Z : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (β : Y ⟶ Z) (x : X) : stalkMap (α ≫ β) x = (stalkMap β (α.base x) : Z.stalk (β.base (α.base x)) ⟶ Y.stalk (α.base x)) ≫ (stalkMap α x : Y.stalk (α.base x) ⟶ X.stalk x) := by dsimp [stalkMap, stalkFunctor, stalkPushforward] -- We can't use `ext` here due to https://github.com/leanprover/std4/pull/159 refine colimit.hom_ext fun U => ?_ induction U with | h U => ?_ cases U simp only [whiskeringLeft_obj_obj, comp_obj, op_obj, unop_op, OpenNhds.inclusion_obj, ι_colimMap_assoc, pushforwardObj_obj, Opens.map_comp_obj, whiskerLeft_app, comp_c_app, OpenNhds.map_obj, whiskerRight_app, NatTrans.id_app, map_id, colimit.ι_pre, id_comp, assoc, colimit.ι_pre_assoc] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map.comp AlgebraicGeometry.PresheafedSpace.stalkMap.comp
Mathlib/Geometry/RingedSpace/Stalks.lean
171
177
theorem congr {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y) (h₁ : α = β) (x x' : X) (h₂ : x = x') : stalkMap α x ≫ eqToHom (show X.stalk x = X.stalk x' by rw [h₂]) = eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x') by rw [h₁, h₂]) ≫ stalkMap β x' := by
ext substs h₁ h₂ simp
import Mathlib.Algebra.ContinuedFractions.Computation.Translations import Mathlib.Algebra.ContinuedFractions.TerminatedStable import Mathlib.Algebra.ContinuedFractions.ContinuantsRecurrence import Mathlib.Order.Filter.AtTopBot import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Ring #align_import algebra.continued_fractions.computation.correctness_terminating from "leanprover-community/mathlib"@"d6814c584384ddf2825ff038e868451a7c956f31" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) variable {K : Type*} [LinearOrderedField K] {v : K} {n : ℕ} protected def compExactValue (pconts conts : Pair K) (fr : K) : K := -- if the fractional part is zero, we exactly approximated the value by the last continuants if fr = 0 then conts.a / conts.b else -- otherwise, we have to include the fractional part in a final continuants step. let exact_conts := nextContinuants 1 fr⁻¹ pconts conts exact_conts.a / exact_conts.b #align generalized_continued_fraction.comp_exact_value GeneralizedContinuedFraction.compExactValue variable [FloorRing K] protected theorem compExactValue_correctness_of_stream_eq_some_aux_comp {a : K} (b c : K) (fract_a_ne_zero : Int.fract a ≠ 0) : ((⌊a⌋ : K) * b + c) / Int.fract a + b = (b * a + c) / Int.fract a := by field_simp [fract_a_ne_zero] rw [Int.fract] ring #align generalized_continued_fraction.comp_exact_value_correctness_of_stream_eq_some_aux_comp GeneralizedContinuedFraction.compExactValue_correctness_of_stream_eq_some_aux_comp open GeneralizedContinuedFraction (compExactValue compExactValue_correctness_of_stream_eq_some_aux_comp) theorem compExactValue_correctness_of_stream_eq_some : ∀ {ifp_n : IntFractPair K}, IntFractPair.stream v n = some ifp_n → v = compExactValue ((of v).continuantsAux n) ((of v).continuantsAux <| n + 1) ifp_n.fr := by let g := of v induction' n with n IH · intro ifp_zero stream_zero_eq -- Nat.zero have : IntFractPair.of v = ifp_zero := by have : IntFractPair.stream v 0 = some (IntFractPair.of v) := rfl simpa only [Nat.zero_eq, this, Option.some.injEq] using stream_zero_eq cases this cases' Decidable.em (Int.fract v = 0) with fract_eq_zero fract_ne_zero -- Int.fract v = 0; we must then have `v = ⌊v⌋` · suffices v = ⌊v⌋ by -- Porting note: was `simpa [continuantsAux, fract_eq_zero, compExactValue]` field_simp [nextContinuants, nextNumerator, nextDenominator, compExactValue] have : (IntFractPair.of v).fr = Int.fract v := rfl rwa [this, if_pos fract_eq_zero] calc v = Int.fract v + ⌊v⌋ := by rw [Int.fract_add_floor] _ = ⌊v⌋ := by simp [fract_eq_zero] -- Int.fract v ≠ 0; the claim then easily follows by unfolding a single computation step · field_simp [continuantsAux, nextContinuants, nextNumerator, nextDenominator, of_h_eq_floor, compExactValue] -- Porting note: this and the if_neg rewrite are needed have : (IntFractPair.of v).fr = Int.fract v := rfl rw [this, if_neg fract_ne_zero, Int.floor_add_fract] · intro ifp_succ_n succ_nth_stream_eq -- Nat.succ obtain ⟨ifp_n, nth_stream_eq, nth_fract_ne_zero, -⟩ : ∃ ifp_n, IntFractPair.stream v n = some ifp_n ∧ ifp_n.fr ≠ 0 ∧ IntFractPair.of ifp_n.fr⁻¹ = ifp_succ_n := IntFractPair.succ_nth_stream_eq_some_iff.1 succ_nth_stream_eq -- introduce some notation let conts := g.continuantsAux (n + 2) set pconts := g.continuantsAux (n + 1) with pconts_eq set ppconts := g.continuantsAux n with ppconts_eq cases' Decidable.em (ifp_succ_n.fr = 0) with ifp_succ_n_fr_eq_zero ifp_succ_n_fr_ne_zero -- ifp_succ_n.fr = 0 · suffices v = conts.a / conts.b by simpa [compExactValue, ifp_succ_n_fr_eq_zero] -- use the IH and the fact that ifp_n.fr⁻¹ = ⌊ifp_n.fr⁻¹⌋ to prove this case obtain ⟨ifp_n', nth_stream_eq', ifp_n_fract_inv_eq_floor⟩ : ∃ ifp_n, IntFractPair.stream v n = some ifp_n ∧ ifp_n.fr⁻¹ = ⌊ifp_n.fr⁻¹⌋ := IntFractPair.exists_succ_nth_stream_of_fr_zero succ_nth_stream_eq ifp_succ_n_fr_eq_zero have : ifp_n' = ifp_n := by injection Eq.trans nth_stream_eq'.symm nth_stream_eq cases this have s_nth_eq : g.s.get? n = some ⟨1, ⌊ifp_n.fr⁻¹⌋⟩ := get?_of_eq_some_of_get?_intFractPair_stream_fr_ne_zero nth_stream_eq nth_fract_ne_zero rw [← ifp_n_fract_inv_eq_floor] at s_nth_eq suffices v = compExactValue ppconts pconts ifp_n.fr by simpa [conts, continuantsAux, s_nth_eq, compExactValue, nth_fract_ne_zero] using this exact IH nth_stream_eq -- ifp_succ_n.fr ≠ 0 · -- use the IH to show that the following equality suffices suffices compExactValue ppconts pconts ifp_n.fr = compExactValue pconts conts ifp_succ_n.fr by have : v = compExactValue ppconts pconts ifp_n.fr := IH nth_stream_eq conv_lhs => rw [this] assumption -- get the correspondence between ifp_n and ifp_succ_n obtain ⟨ifp_n', nth_stream_eq', ifp_n_fract_ne_zero, ⟨refl⟩⟩ : ∃ ifp_n, IntFractPair.stream v n = some ifp_n ∧ ifp_n.fr ≠ 0 ∧ IntFractPair.of ifp_n.fr⁻¹ = ifp_succ_n := IntFractPair.succ_nth_stream_eq_some_iff.1 succ_nth_stream_eq have : ifp_n' = ifp_n := by injection Eq.trans nth_stream_eq'.symm nth_stream_eq cases this -- get the correspondence between ifp_n and g.s.nth n have s_nth_eq : g.s.get? n = some ⟨1, (⌊ifp_n.fr⁻¹⌋ : K)⟩ := get?_of_eq_some_of_get?_intFractPair_stream_fr_ne_zero nth_stream_eq ifp_n_fract_ne_zero -- the claim now follows by unfolding the definitions and tedious calculations -- some shorthand notation let ppA := ppconts.a let ppB := ppconts.b let pA := pconts.a let pB := pconts.b have : compExactValue ppconts pconts ifp_n.fr = (ppA + ifp_n.fr⁻¹ * pA) / (ppB + ifp_n.fr⁻¹ * pB) := by -- unfold compExactValue and the convergent computation once field_simp [ifp_n_fract_ne_zero, compExactValue, nextContinuants, nextNumerator, nextDenominator, ppA, ppB] ac_rfl rw [this] -- two calculations needed to show the claim have tmp_calc := compExactValue_correctness_of_stream_eq_some_aux_comp pA ppA ifp_succ_n_fr_ne_zero have tmp_calc' := compExactValue_correctness_of_stream_eq_some_aux_comp pB ppB ifp_succ_n_fr_ne_zero let f := Int.fract (1 / ifp_n.fr) have f_ne_zero : f ≠ 0 := by simpa [f] using ifp_succ_n_fr_ne_zero rw [inv_eq_one_div] at tmp_calc tmp_calc' -- Porting note: the `tmp_calc`s need to be massaged, and some processing after `ac_rfl` done, -- because `field_simp` is not as powerful have hA : (↑⌊1 / ifp_n.fr⌋ * pA + ppA) + pA * f = pA * (1 / ifp_n.fr) + ppA := by have := congrFun (congrArg HMul.hMul tmp_calc) f rwa [right_distrib, div_mul_cancel₀ (h := f_ne_zero), div_mul_cancel₀ (h := f_ne_zero)] at this have hB : (↑⌊1 / ifp_n.fr⌋ * pB + ppB) + pB * f = pB * (1 / ifp_n.fr) + ppB := by have := congrFun (congrArg HMul.hMul tmp_calc') f rwa [right_distrib, div_mul_cancel₀ (h := f_ne_zero), div_mul_cancel₀ (h := f_ne_zero)] at this -- now unfold the recurrence one step and simplify both sides to arrive at the conclusion dsimp only [conts, pconts, ppconts] field_simp [compExactValue, continuantsAux_recurrence s_nth_eq ppconts_eq pconts_eq, nextContinuants, nextNumerator, nextDenominator] have hfr : (IntFractPair.of (1 / ifp_n.fr)).fr = f := rfl rw [one_div, if_neg _, ← one_div, hfr] · field_simp [hA, hB] ac_rfl · rwa [inv_eq_one_div, hfr] #align generalized_continued_fraction.comp_exact_value_correctness_of_stream_eq_some GeneralizedContinuedFraction.compExactValue_correctness_of_stream_eq_some open GeneralizedContinuedFraction (of_terminatedAt_n_iff_succ_nth_intFractPair_stream_eq_none) theorem of_correctness_of_nth_stream_eq_none (nth_stream_eq_none : IntFractPair.stream v n = none) : v = (of v).convergents (n - 1) := by induction n with | zero => contradiction -- IntFractPair.stream v 0 ≠ none | succ n IH => let g := of v change v = g.convergents n have : IntFractPair.stream v n = none ∨ ∃ ifp, IntFractPair.stream v n = some ifp ∧ ifp.fr = 0 := IntFractPair.succ_nth_stream_eq_none_iff.1 nth_stream_eq_none rcases this with (⟨nth_stream_eq_none⟩ | ⟨ifp_n, nth_stream_eq, nth_stream_fr_eq_zero⟩) · cases' n with n' · contradiction -- IntFractPair.stream v 0 ≠ none · have : g.TerminatedAt n' := of_terminatedAt_n_iff_succ_nth_intFractPair_stream_eq_none.2 nth_stream_eq_none have : g.convergents (n' + 1) = g.convergents n' := convergents_stable_of_terminated n'.le_succ this rw [this] exact IH nth_stream_eq_none · simpa [nth_stream_fr_eq_zero, compExactValue] using compExactValue_correctness_of_stream_eq_some nth_stream_eq #align generalized_continued_fraction.of_correctness_of_nth_stream_eq_none GeneralizedContinuedFraction.of_correctness_of_nth_stream_eq_none theorem of_correctness_of_terminatedAt (terminated_at_n : (of v).TerminatedAt n) : v = (of v).convergents n := have : IntFractPair.stream v (n + 1) = none := of_terminatedAt_n_iff_succ_nth_intFractPair_stream_eq_none.1 terminated_at_n of_correctness_of_nth_stream_eq_none this #align generalized_continued_fraction.of_correctness_of_terminated_at GeneralizedContinuedFraction.of_correctness_of_terminatedAt theorem of_correctness_of_terminates (terminates : (of v).Terminates) : ∃ n : ℕ, v = (of v).convergents n := Exists.elim terminates fun n terminated_at_n => Exists.intro n (of_correctness_of_terminatedAt terminated_at_n) #align generalized_continued_fraction.of_correctness_of_terminates GeneralizedContinuedFraction.of_correctness_of_terminates open Filter
Mathlib/Algebra/ContinuedFractions/Computation/CorrectnessTerminating.lean
269
276
theorem of_correctness_atTop_of_terminates (terminates : (of v).Terminates) : ∀ᶠ n in atTop, v = (of v).convergents n := by
rw [eventually_atTop] obtain ⟨n, terminated_at_n⟩ : ∃ n, (of v).TerminatedAt n := terminates use n intro m m_geq_n rw [convergents_stable_of_terminated m_geq_n terminated_at_n] exact of_correctness_of_terminatedAt terminated_at_n
import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0 theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring #align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) : HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1 rw [id, mul_one] #align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by by_cases hK : K = 0 · simp only [gronwallBound, if_pos hK, mul_zero, add_zero] · simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] #align gronwall_bound_x0 gronwallBound_x0
Mathlib/Analysis/ODE/Gronwall.lean
86
89
theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by
by_cases hK : K = 0 · simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] · simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero]
import Mathlib.CategoryTheory.Closed.Cartesian import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import category_theory.closed.functor from "leanprover-community/mathlib"@"cea27692b3fdeb328a2ddba6aabf181754543184" noncomputable section namespace CategoryTheory open Category Limits CartesianClosed universe v u u' variable {C : Type u} [Category.{v} C] variable {D : Type u'} [Category.{v} D] variable [HasFiniteProducts C] [HasFiniteProducts D] variable (F : C ⥤ D) {L : D ⥤ C} def frobeniusMorphism (h : L ⊣ F) (A : C) : prod.functor.obj (F.obj A) ⋙ L ⟶ L ⋙ prod.functor.obj A := prodComparisonNatTrans L (F.obj A) ≫ whiskerLeft _ (prod.functor.map (h.counit.app _)) #align category_theory.frobenius_morphism CategoryTheory.frobeniusMorphism instance frobeniusMorphism_iso_of_preserves_binary_products (h : L ⊣ F) (A : C) [PreservesLimitsOfShape (Discrete WalkingPair) L] [F.Full] [F.Faithful] : IsIso (frobeniusMorphism F h A) := suffices ∀ (X : D), IsIso ((frobeniusMorphism F h A).app X) from NatIso.isIso_of_isIso_app _ fun B ↦ by dsimp [frobeniusMorphism]; infer_instance #align category_theory.frobenius_morphism_iso_of_preserves_binary_products CategoryTheory.frobeniusMorphism_iso_of_preserves_binary_products variable [CartesianClosed C] [CartesianClosed D] variable [PreservesLimitsOfShape (Discrete WalkingPair) F] def expComparison (A : C) : exp A ⋙ F ⟶ F ⋙ exp (F.obj A) := transferNatTrans (exp.adjunction A) (exp.adjunction (F.obj A)) (prodComparisonNatIso F A).inv #align category_theory.exp_comparison CategoryTheory.expComparison theorem expComparison_ev (A B : C) : Limits.prod.map (𝟙 (F.obj A)) ((expComparison F A).app B) ≫ (exp.ev (F.obj A)).app (F.obj B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by convert transferNatTrans_counit _ _ (prodComparisonNatIso F A).inv B using 2 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` simp only [Limits.prodComparisonNatIso_inv, asIso_inv, NatIso.isIso_inv_app, IsIso.hom_inv_id] #align category_theory.exp_comparison_ev CategoryTheory.expComparison_ev theorem coev_expComparison (A B : C) : F.map ((exp.coev A).app B) ≫ (expComparison F A).app (A ⨯ B) = (exp.coev _).app (F.obj B) ≫ (exp (F.obj A)).map (inv (prodComparison F A B)) := by convert unit_transferNatTrans _ _ (prodComparisonNatIso F A).inv B using 3 apply IsIso.inv_eq_of_hom_inv_id -- Porting note: was `ext` dsimp simp #align category_theory.coev_exp_comparison CategoryTheory.coev_expComparison theorem uncurry_expComparison (A B : C) : CartesianClosed.uncurry ((expComparison F A).app B) = inv (prodComparison F _ _) ≫ F.map ((exp.ev _).app _) := by rw [uncurry_eq, expComparison_ev] #align category_theory.uncurry_exp_comparison CategoryTheory.uncurry_expComparison theorem expComparison_whiskerLeft {A A' : C} (f : A' ⟶ A) : expComparison F A ≫ whiskerLeft _ (pre (F.map f)) = whiskerRight (pre f) _ ≫ expComparison F A' := by ext B dsimp apply uncurry_injective rw [uncurry_natural_left, uncurry_natural_left, uncurry_expComparison, uncurry_pre, prod.map_swap_assoc, ← F.map_id, expComparison_ev, ← F.map_id, ← prodComparison_inv_natural_assoc, ← prodComparison_inv_natural_assoc, ← F.map_comp, ← F.map_comp, prod_map_pre_app_comp_ev] #align category_theory.exp_comparison_whisker_left CategoryTheory.expComparison_whiskerLeft class CartesianClosedFunctor : Prop where comparison_iso : ∀ A, IsIso (expComparison F A) #align category_theory.cartesian_closed_functor CategoryTheory.CartesianClosedFunctor attribute [instance] CartesianClosedFunctor.comparison_iso theorem frobeniusMorphism_mate (h : L ⊣ F) (A : C) : transferNatTransSelf (h.comp (exp.adjunction A)) ((exp.adjunction (F.obj A)).comp h) (frobeniusMorphism F h A) = expComparison F A := by rw [← Equiv.eq_symm_apply] ext B : 2 dsimp [frobeniusMorphism, transferNatTransSelf, transferNatTrans, Adjunction.comp] simp only [id_comp, comp_id] rw [← L.map_comp_assoc, prod.map_id_comp, assoc] -- Porting note: need to use `erw` here. -- https://github.com/leanprover-community/mathlib4/issues/5164 erw [expComparison_ev] rw [prod.map_id_comp, assoc, ← F.map_id, ← prodComparison_inv_natural_assoc, ← F.map_comp] -- Porting note: need to use `erw` here. -- https://github.com/leanprover-community/mathlib4/issues/5164 erw [exp.ev_coev] rw [F.map_id (A ⨯ L.obj B), comp_id] ext · rw [assoc, assoc, ← h.counit_naturality, ← L.map_comp_assoc, assoc, inv_prodComparison_map_fst] simp · rw [assoc, assoc, ← h.counit_naturality, ← L.map_comp_assoc, assoc, inv_prodComparison_map_snd] simp #align category_theory.frobenius_morphism_mate CategoryTheory.frobeniusMorphism_mate
Mathlib/CategoryTheory/Closed/Functor.lean
156
159
theorem frobeniusMorphism_iso_of_expComparison_iso (h : L ⊣ F) (A : C) [i : IsIso (expComparison F A)] : IsIso (frobeniusMorphism F h A) := by
rw [← frobeniusMorphism_mate F h] at i exact @transferNatTransSelf_of_iso _ _ _ _ _ _ _ _ _ _ _ i
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse #align_import geometry.euclidean.angle.unoriented.basic from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" assert_not_exists HasFDerivAt assert_not_exists ConformalAt noncomputable section open Real Set open Real open RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] {x y : V} def angle (x y : V) : ℝ := Real.arccos (⟪x, y⟫ / (‖x‖ * ‖y‖)) #align inner_product_geometry.angle InnerProductGeometry.angle theorem continuousAt_angle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) : ContinuousAt (fun y : V × V => angle y.1 y.2) x := Real.continuous_arccos.continuousAt.comp <| continuous_inner.continuousAt.div ((continuous_norm.comp continuous_fst).mul (continuous_norm.comp continuous_snd)).continuousAt (by simp [hx1, hx2]) #align inner_product_geometry.continuous_at_angle InnerProductGeometry.continuousAt_angle theorem angle_smul_smul {c : ℝ} (hc : c ≠ 0) (x y : V) : angle (c • x) (c • y) = angle x y := by have : c * c ≠ 0 := mul_ne_zero hc hc rw [angle, angle, real_inner_smul_left, inner_smul_right, norm_smul, norm_smul, Real.norm_eq_abs, mul_mul_mul_comm _ ‖x‖, abs_mul_abs_self, ← mul_assoc c c, mul_div_mul_left _ _ this] #align inner_product_geometry.angle_smul_smul InnerProductGeometry.angle_smul_smul @[simp] theorem _root_.LinearIsometry.angle_map {E F : Type*} [NormedAddCommGroup E] [NormedAddCommGroup F] [InnerProductSpace ℝ E] [InnerProductSpace ℝ F] (f : E →ₗᵢ[ℝ] F) (u v : E) : angle (f u) (f v) = angle u v := by rw [angle, angle, f.inner_map_map, f.norm_map, f.norm_map] #align linear_isometry.angle_map LinearIsometry.angle_map @[simp, norm_cast] theorem _root_.Submodule.angle_coe {s : Submodule ℝ V} (x y : s) : angle (x : V) (y : V) = angle x y := s.subtypeₗᵢ.angle_map x y #align submodule.angle_coe Submodule.angle_coe theorem cos_angle (x y : V) : Real.cos (angle x y) = ⟪x, y⟫ / (‖x‖ * ‖y‖) := Real.cos_arccos (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).1 (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).2 #align inner_product_geometry.cos_angle InnerProductGeometry.cos_angle theorem angle_comm (x y : V) : angle x y = angle y x := by unfold angle rw [real_inner_comm, mul_comm] #align inner_product_geometry.angle_comm InnerProductGeometry.angle_comm @[simp] theorem angle_neg_neg (x y : V) : angle (-x) (-y) = angle x y := by unfold angle rw [inner_neg_neg, norm_neg, norm_neg] #align inner_product_geometry.angle_neg_neg InnerProductGeometry.angle_neg_neg theorem angle_nonneg (x y : V) : 0 ≤ angle x y := Real.arccos_nonneg _ #align inner_product_geometry.angle_nonneg InnerProductGeometry.angle_nonneg theorem angle_le_pi (x y : V) : angle x y ≤ π := Real.arccos_le_pi _ #align inner_product_geometry.angle_le_pi InnerProductGeometry.angle_le_pi theorem angle_neg_right (x y : V) : angle x (-y) = π - angle x y := by unfold angle rw [← Real.arccos_neg, norm_neg, inner_neg_right, neg_div] #align inner_product_geometry.angle_neg_right InnerProductGeometry.angle_neg_right theorem angle_neg_left (x y : V) : angle (-x) y = π - angle x y := by rw [← angle_neg_neg, neg_neg, angle_neg_right] #align inner_product_geometry.angle_neg_left InnerProductGeometry.angle_neg_left proof_wanted angle_triangle (x y z : V) : angle x z ≤ angle x y + angle y z @[simp] theorem angle_zero_left (x : V) : angle 0 x = π / 2 := by unfold angle rw [inner_zero_left, zero_div, Real.arccos_zero] #align inner_product_geometry.angle_zero_left InnerProductGeometry.angle_zero_left @[simp] theorem angle_zero_right (x : V) : angle x 0 = π / 2 := by unfold angle rw [inner_zero_right, zero_div, Real.arccos_zero] #align inner_product_geometry.angle_zero_right InnerProductGeometry.angle_zero_right @[simp] theorem angle_self {x : V} (hx : x ≠ 0) : angle x x = 0 := by unfold angle rw [← real_inner_self_eq_norm_mul_norm, div_self (inner_self_ne_zero.2 hx : ⟪x, x⟫ ≠ 0), Real.arccos_one] #align inner_product_geometry.angle_self InnerProductGeometry.angle_self @[simp] theorem angle_self_neg_of_nonzero {x : V} (hx : x ≠ 0) : angle x (-x) = π := by rw [angle_neg_right, angle_self hx, sub_zero] #align inner_product_geometry.angle_self_neg_of_nonzero InnerProductGeometry.angle_self_neg_of_nonzero @[simp] theorem angle_neg_self_of_nonzero {x : V} (hx : x ≠ 0) : angle (-x) x = π := by rw [angle_comm, angle_self_neg_of_nonzero hx] #align inner_product_geometry.angle_neg_self_of_nonzero InnerProductGeometry.angle_neg_self_of_nonzero @[simp] theorem angle_smul_right_of_pos (x y : V) {r : ℝ} (hr : 0 < r) : angle x (r • y) = angle x y := by unfold angle rw [inner_smul_right, norm_smul, Real.norm_eq_abs, abs_of_nonneg (le_of_lt hr), ← mul_assoc, mul_comm _ r, mul_assoc, mul_div_mul_left _ _ (ne_of_gt hr)] #align inner_product_geometry.angle_smul_right_of_pos InnerProductGeometry.angle_smul_right_of_pos @[simp] theorem angle_smul_left_of_pos (x y : V) {r : ℝ} (hr : 0 < r) : angle (r • x) y = angle x y := by rw [angle_comm, angle_smul_right_of_pos y x hr, angle_comm] #align inner_product_geometry.angle_smul_left_of_pos InnerProductGeometry.angle_smul_left_of_pos @[simp] theorem angle_smul_right_of_neg (x y : V) {r : ℝ} (hr : r < 0) : angle x (r • y) = angle x (-y) := by rw [← neg_neg r, neg_smul, angle_neg_right, angle_smul_right_of_pos x y (neg_pos_of_neg hr), angle_neg_right] #align inner_product_geometry.angle_smul_right_of_neg InnerProductGeometry.angle_smul_right_of_neg @[simp] theorem angle_smul_left_of_neg (x y : V) {r : ℝ} (hr : r < 0) : angle (r • x) y = angle (-x) y := by rw [angle_comm, angle_smul_right_of_neg y x hr, angle_comm] #align inner_product_geometry.angle_smul_left_of_neg InnerProductGeometry.angle_smul_left_of_neg theorem cos_angle_mul_norm_mul_norm (x y : V) : Real.cos (angle x y) * (‖x‖ * ‖y‖) = ⟪x, y⟫ := by rw [cos_angle, div_mul_cancel_of_imp] simp (config := { contextual := true }) [or_imp] #align inner_product_geometry.cos_angle_mul_norm_mul_norm InnerProductGeometry.cos_angle_mul_norm_mul_norm theorem sin_angle_mul_norm_mul_norm (x y : V) : Real.sin (angle x y) * (‖x‖ * ‖y‖) = √(⟪x, x⟫ * ⟪y, y⟫ - ⟪x, y⟫ * ⟪x, y⟫) := by unfold angle rw [Real.sin_arccos, ← Real.sqrt_mul_self (mul_nonneg (norm_nonneg x) (norm_nonneg y)), ← Real.sqrt_mul' _ (mul_self_nonneg _), sq, Real.sqrt_mul_self (mul_nonneg (norm_nonneg x) (norm_nonneg y)), real_inner_self_eq_norm_mul_norm, real_inner_self_eq_norm_mul_norm] by_cases h : ‖x‖ * ‖y‖ = 0 · rw [show ‖x‖ * ‖x‖ * (‖y‖ * ‖y‖) = ‖x‖ * ‖y‖ * (‖x‖ * ‖y‖) by ring, h, mul_zero, mul_zero, zero_sub] cases' eq_zero_or_eq_zero_of_mul_eq_zero h with hx hy · rw [norm_eq_zero] at hx rw [hx, inner_zero_left, zero_mul, neg_zero] · rw [norm_eq_zero] at hy rw [hy, inner_zero_right, zero_mul, neg_zero] · field_simp [h] ring_nf #align inner_product_geometry.sin_angle_mul_norm_mul_norm InnerProductGeometry.sin_angle_mul_norm_mul_norm theorem angle_eq_zero_iff {x y : V} : angle x y = 0 ↔ x ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • x := by rw [angle, ← real_inner_div_norm_mul_norm_eq_one_iff, Real.arccos_eq_zero, LE.le.le_iff_eq, eq_comm] exact (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).2 #align inner_product_geometry.angle_eq_zero_iff InnerProductGeometry.angle_eq_zero_iff theorem angle_eq_pi_iff {x y : V} : angle x y = π ↔ x ≠ 0 ∧ ∃ r : ℝ, r < 0 ∧ y = r • x := by rw [angle, ← real_inner_div_norm_mul_norm_eq_neg_one_iff, Real.arccos_eq_pi, LE.le.le_iff_eq] exact (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x y)).1 #align inner_product_geometry.angle_eq_pi_iff InnerProductGeometry.angle_eq_pi_iff
Mathlib/Geometry/Euclidean/Angle/Unoriented/Basic.lean
226
229
theorem angle_add_angle_eq_pi_of_angle_eq_pi {x y : V} (z : V) (h : angle x y = π) : angle x z + angle y z = π := by
rcases angle_eq_pi_iff.1 h with ⟨_, ⟨r, ⟨hr, rfl⟩⟩⟩ rw [angle_smul_left_of_neg x z hr, angle_neg_left, add_sub_cancel]
import Mathlib.Geometry.Manifold.MFDeriv.FDeriv noncomputable section open scoped Manifold open Bundle Set Topology section SpecificFunctions variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] [SmoothManifoldWithCorners I'' M''] variable {s : Set M} {x : M} section id theorem hasMFDerivAt_id (x : M) : HasMFDerivAt I I (@id M) x (ContinuousLinearMap.id 𝕜 (TangentSpace I x)) := by refine ⟨continuousAt_id, ?_⟩ have : ∀ᶠ y in 𝓝[range I] (extChartAt I x) x, (extChartAt I x ∘ (extChartAt I x).symm) y = y := by apply Filter.mem_of_superset (extChartAt_target_mem_nhdsWithin I x) mfld_set_tac apply HasFDerivWithinAt.congr_of_eventuallyEq (hasFDerivWithinAt_id _ _) this simp only [mfld_simps] #align has_mfderiv_at_id hasMFDerivAt_id theorem hasMFDerivWithinAt_id (s : Set M) (x : M) : HasMFDerivWithinAt I I (@id M) s x (ContinuousLinearMap.id 𝕜 (TangentSpace I x)) := (hasMFDerivAt_id I x).hasMFDerivWithinAt #align has_mfderiv_within_at_id hasMFDerivWithinAt_id theorem mdifferentiableAt_id : MDifferentiableAt I I (@id M) x := (hasMFDerivAt_id I x).mdifferentiableAt #align mdifferentiable_at_id mdifferentiableAt_id theorem mdifferentiableWithinAt_id : MDifferentiableWithinAt I I (@id M) s x := (mdifferentiableAt_id I).mdifferentiableWithinAt #align mdifferentiable_within_at_id mdifferentiableWithinAt_id theorem mdifferentiable_id : MDifferentiable I I (@id M) := fun _ => mdifferentiableAt_id I #align mdifferentiable_id mdifferentiable_id theorem mdifferentiableOn_id : MDifferentiableOn I I (@id M) s := (mdifferentiable_id I).mdifferentiableOn #align mdifferentiable_on_id mdifferentiableOn_id @[simp, mfld_simps] theorem mfderiv_id : mfderiv I I (@id M) x = ContinuousLinearMap.id 𝕜 (TangentSpace I x) := HasMFDerivAt.mfderiv (hasMFDerivAt_id I x) #align mfderiv_id mfderiv_id theorem mfderivWithin_id (hxs : UniqueMDiffWithinAt I s x) : mfderivWithin I I (@id M) s x = ContinuousLinearMap.id 𝕜 (TangentSpace I x) := by rw [MDifferentiable.mfderivWithin (mdifferentiableAt_id I) hxs] exact mfderiv_id I #align mfderiv_within_id mfderivWithin_id @[simp, mfld_simps] theorem tangentMap_id : tangentMap I I (id : M → M) = id := by ext1 ⟨x, v⟩; simp [tangentMap] #align tangent_map_id tangentMap_id
Mathlib/Geometry/Manifold/MFDeriv/SpecificFunctions.lean
167
172
theorem tangentMapWithin_id {p : TangentBundle I M} (hs : UniqueMDiffWithinAt I s p.proj) : tangentMapWithin I I (id : M → M) s p = p := by
simp only [tangentMapWithin, id] rw [mfderivWithin_id] · rcases p with ⟨⟩; rfl · exact hs
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition import Mathlib.LinearAlgebra.FreeModule.Basic import Mathlib.LinearAlgebra.FreeModule.Finite.Basic #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v v' w open Cardinal Basis Submodule Function Set DirectSum FiniteDimensional section Tower variable (F : Type u) (K : Type v) (A : Type w) variable [Ring F] [Ring K] [AddCommGroup A] variable [Module F K] [Module K A] [Module F A] [IsScalarTower F K A] variable [StrongRankCondition F] [StrongRankCondition K] [Module.Free F K] [Module.Free K A] theorem lift_rank_mul_lift_rank : Cardinal.lift.{w} (Module.rank F K) * Cardinal.lift.{v} (Module.rank K A) = Cardinal.lift.{v} (Module.rank F A) := by let b := Module.Free.chooseBasis F K let c := Module.Free.chooseBasis K A rw [← (Module.rank F K).lift_id, ← b.mk_eq_rank, ← (Module.rank K A).lift_id, ← c.mk_eq_rank, ← lift_umax.{w, v}, ← (b.smul c).mk_eq_rank, mk_prod, lift_mul, lift_lift, lift_lift, lift_lift, lift_lift, lift_umax.{v, w}] #align lift_rank_mul_lift_rank lift_rank_mul_lift_rank theorem rank_mul_rank (A : Type v) [AddCommGroup A] [Module K A] [Module F A] [IsScalarTower F K A] [Module.Free K A] : Module.rank F K * Module.rank K A = Module.rank F A := by convert lift_rank_mul_lift_rank F K A <;> rw [lift_id] #align rank_mul_rank rank_mul_rank
Mathlib/LinearAlgebra/Dimension/Free.lean
63
66
theorem FiniteDimensional.finrank_mul_finrank : finrank F K * finrank K A = finrank F A := by
simp_rw [finrank] rw [← toNat_lift.{w} (Module.rank F K), ← toNat_lift.{v} (Module.rank K A), ← toNat_mul, lift_rank_mul_lift_rank, toNat_lift]
import Mathlib.Topology.Constructions #align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set Filter Function Topology Filter variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} variable [TopologicalSpace α] @[simp] theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a := bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl #align nhds_bind_nhds_within nhds_bind_nhdsWithin @[simp] theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x } #align eventually_nhds_nhds_within eventually_nhds_nhdsWithin theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x := eventually_inf_principal #align eventually_nhds_within_iff eventually_nhdsWithin_iff theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} : (∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s := frequently_inf_principal.trans <| by simp only [and_comm] #align frequently_nhds_within_iff frequently_nhdsWithin_iff theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} : z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff] #align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within @[simp] theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩ simp only [eventually_nhdsWithin_iff] at h ⊢ exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs #align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin theorem nhdsWithin_eq (a : α) (s : Set α) : 𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) := ((nhds_basis_opens a).inf_principal s).eq_biInf #align nhds_within_eq nhdsWithin_eq theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by rw [nhdsWithin, principal_univ, inf_top_eq] #align nhds_within_univ nhdsWithin_univ theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s) (t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t := h.inf_principal t #align nhds_within_has_basis nhdsWithin_hasBasis theorem nhdsWithin_basis_open (a : α) (t : Set α) : (𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t := nhdsWithin_hasBasis (nhds_basis_opens a) t #align nhds_within_basis_open nhdsWithin_basis_open theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff #align mem_nhds_within mem_nhdsWithin theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t := (nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff #align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) : s \ t ∈ 𝓝[tᶜ] x := diff_mem_inf_principal_compl hs t #align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) : s \ t' ∈ 𝓝[t \ t'] x := by rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc] exact inter_mem_inf hs (mem_principal_self _) #align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) : t ∈ 𝓝 a := by rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩ exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw #align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t := eventually_inf_principal #align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and] #align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t := set_eventuallyEq_iff_inf_principal.symm #align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x := set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal #align nhds_within_le_iff nhdsWithin_le_iff -- Porting note: golfed, dropped an unneeded assumption theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝[t] a := by lift a to t using h replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs rwa [← map_nhds_subtype_val, mem_map] #align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a := mem_inf_of_left h #align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a := mem_inf_of_right (mem_principal_self s) #align self_mem_nhds_within self_mem_nhdsWithin theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s := self_mem_nhdsWithin #align eventually_mem_nhds_within eventually_mem_nhdsWithin theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a := inter_mem self_mem_nhdsWithin (mem_inf_of_left h) #align inter_mem_nhds_within inter_mem_nhdsWithin theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a := inf_le_inf_left _ (principal_mono.mpr h) #align nhds_within_mono nhdsWithin_mono theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a := le_inf (pure_le_nhds a) (le_principal_iff.2 ha) #align pure_le_nhds_within pure_le_nhdsWithin theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t := pure_le_nhdsWithin ha ht #align mem_of_mem_nhds_within mem_of_mem_nhdsWithin theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α} (h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x := mem_of_mem_nhdsWithin hx h #align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) : Tendsto (fun _ : β => a) l (𝓝[s] a) := tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha #align tendsto_const_nhds_within tendsto_const_nhdsWithin theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s] a = 𝓝[s ∩ t] a := le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h))) (inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left)) #align nhds_within_restrict'' nhdsWithin_restrict'' theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict'' s <| mem_inf_of_left h #align nhds_within_restrict' nhdsWithin_restrict' theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀) #align nhds_within_restrict nhdsWithin_restrict theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a := nhdsWithin_le_iff.mpr h #align nhds_within_le_of_mem nhdsWithin_le_of_mem theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by rw [← nhdsWithin_univ] apply nhdsWithin_le_of_mem exact univ_mem #align nhds_within_le_nhds nhdsWithin_le_nhds theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂] #align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin' theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂] #align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin @[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a := inf_eq_left.trans le_principal_iff #align nhds_within_eq_nhds nhdsWithin_eq_nhds theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a := nhdsWithin_eq_nhds.2 <| h.mem_nhds ha #align is_open.nhds_within_eq IsOpen.nhdsWithin_eq theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (ht : IsOpen t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝 a := by rw [← ht.nhdsWithin_eq h] exact preimage_nhdsWithin_coinduced' h hs #align preimage_nhds_within_coinduced preimage_nhds_within_coinduced @[simp] theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq] #align nhds_within_empty nhdsWithin_empty theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by delta nhdsWithin rw [← inf_sup_left, sup_principal] #align nhds_within_union nhdsWithin_union theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) : 𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a := Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert] #align nhds_within_bUnion nhdsWithin_biUnion theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) : 𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS] #align nhds_within_sUnion nhdsWithin_sUnion theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) : 𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range] #align nhds_within_Union nhdsWithin_iUnion theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by delta nhdsWithin rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem] #align nhds_within_inter nhdsWithin_inter theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by delta nhdsWithin rw [← inf_principal, inf_assoc] #align nhds_within_inter' nhdsWithin_inter' theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by rw [nhdsWithin_inter, inf_eq_right] exact nhdsWithin_le_of_mem h #align nhds_within_inter_of_mem nhdsWithin_inter_of_mem theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by rw [inter_comm, nhdsWithin_inter_of_mem h] #align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem' @[simp] theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)] #align nhds_within_singleton nhdsWithin_singleton @[simp] theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton] #align nhds_within_insert nhdsWithin_insert theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by simp #align mem_nhds_within_insert mem_nhdsWithin_insert theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h] #align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left, insert_def] #align insert_mem_nhds_iff insert_mem_nhds_iff @[simp] theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ] #align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β] {s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) : u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by rw [nhdsWithin_prod_eq] exact prod_mem_prod hu hv #align nhds_within_prod nhdsWithin_prod theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} (hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ← iInf_principal_finite hI, ← iInf_inf_eq] #align nhds_within_pi_eq' nhdsWithin_pi_eq' theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} (hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi I s] x = (⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓ ⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf, comap_principal, eval] rw [iInf_split _ fun i => i ∈ I, inf_right_comm] simp only [iInf_inf_eq] #align nhds_within_pi_eq nhdsWithin_pi_eq theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)] (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x #align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot] #align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by simp [neBot_iff, nhdsWithin_pi_eq_bot] #align nhds_within_pi_ne_bot nhdsWithin_pi_neBot theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)] {a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l) (h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter'] #align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l) (h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) : Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l := h₀.piecewise_nhdsWithin h₁ #align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) : map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) := ((nhdsWithin_basis_open a s).map f).eq_biInf #align map_nhds_within map_nhdsWithin theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t) (h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l := h.mono_left <| nhdsWithin_mono a hst #align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t) (h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) := h.mono_right (nhdsWithin_mono a hst) #align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l := h.mono_left inf_le_left #align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff, eventually_and] at h exact (h univ ⟨mem_univ a, isOpen_univ⟩).2 #align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) := h.mono_right nhdsWithin_le_nhds #align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) := mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx #align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α} (hx : NeBot <| 𝓝[s] x) : x ∈ s := hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx #align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) : NeBot (𝓝[range f] x) := mem_closure_iff_clusterPt.1 (h x) #align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot] #align mem_closure_pi mem_closure_pi theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι) (s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) := Set.ext fun _ => mem_closure_pi #align closure_pi_set closure_pi_set theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)} (I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq, pi_univ] #align dense_pi dense_pi theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} : f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x := mem_inf_principal #align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) : f =ᶠ[𝓝[s] a] g := mem_inf_of_right h #align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) : f =ᶠ[𝓝[s] a] g := eventuallyEq_nhdsWithin_of_eqOn h #align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β} (hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l := (tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf #align tendsto_nhds_within_congr tendsto_nhdsWithin_congr theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) : ∀ᶠ x in 𝓝[s] a, p x := mem_inf_of_right h #align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α} (f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) := tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩ #align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} : Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s := ⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h => tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩ #align tendsto_nhds_within_iff tendsto_nhdsWithin_iff @[simp] theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} : Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) := ⟨fun h => h.mono_right inf_le_left, fun h => tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩ #align tendsto_nhds_within_range tendsto_nhdsWithin_range theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g) (hmem : a ∈ s) : f a = g a := h.self_of_nhdsWithin hmem #align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α} {a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x := mem_nhdsWithin_of_mem_nhds h #align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} : t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin] #align mem_nhds_within_subtype mem_nhdsWithin_subtype theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) : 𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) := Filter.ext fun _ => mem_nhdsWithin_subtype #align nhds_within_subtype nhdsWithin_subtype theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) : 𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) := (map_nhds_subtype_val ⟨a, h⟩).symm #align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} : t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective] #align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by rw [← map_nhds_subtype_val, mem_map] #align preimage_coe_mem_nhds_subtype preimage_coe_mem_nhds_subtype theorem eventually_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) : (∀ᶠ x : s in 𝓝 a, P x) ↔ ∀ᶠ x in 𝓝[s] a, P x := preimage_coe_mem_nhds_subtype theorem frequently_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) : (∃ᶠ x : s in 𝓝 a, P x) ↔ ∃ᶠ x in 𝓝[s] a, P x := eventually_nhds_subtype_iff s a (¬ P ·) |>.not theorem tendsto_nhdsWithin_iff_subtype {s : Set α} {a : α} (h : a ∈ s) (f : α → β) (l : Filter β) : Tendsto f (𝓝[s] a) l ↔ Tendsto (s.restrict f) (𝓝 ⟨a, h⟩) l := by rw [nhdsWithin_eq_map_subtype_coe h, tendsto_map'_iff]; rfl #align tendsto_nhds_within_iff_subtype tendsto_nhdsWithin_iff_subtype variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ] theorem ContinuousWithinAt.tendsto {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝 (f x)) := h #align continuous_within_at.tendsto ContinuousWithinAt.tendsto theorem ContinuousOn.continuousWithinAt {f : α → β} {s : Set α} {x : α} (hf : ContinuousOn f s) (hx : x ∈ s) : ContinuousWithinAt f s x := hf x hx #align continuous_on.continuous_within_at ContinuousOn.continuousWithinAt theorem continuousWithinAt_univ (f : α → β) (x : α) : ContinuousWithinAt f Set.univ x ↔ ContinuousAt f x := by rw [ContinuousAt, ContinuousWithinAt, nhdsWithin_univ] #align continuous_within_at_univ continuousWithinAt_univ theorem continuous_iff_continuousOn_univ {f : α → β} : Continuous f ↔ ContinuousOn f univ := by simp [continuous_iff_continuousAt, ContinuousOn, ContinuousAt, ContinuousWithinAt, nhdsWithin_univ] #align continuous_iff_continuous_on_univ continuous_iff_continuousOn_univ theorem continuousWithinAt_iff_continuousAt_restrict (f : α → β) {x : α} {s : Set α} (h : x ∈ s) : ContinuousWithinAt f s x ↔ ContinuousAt (s.restrict f) ⟨x, h⟩ := tendsto_nhdsWithin_iff_subtype h f _ #align continuous_within_at_iff_continuous_at_restrict continuousWithinAt_iff_continuousAt_restrict theorem ContinuousWithinAt.tendsto_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β} (h : ContinuousWithinAt f s x) (ht : MapsTo f s t) : Tendsto f (𝓝[s] x) (𝓝[t] f x) := tendsto_inf.2 ⟨h, tendsto_principal.2 <| mem_inf_of_right <| mem_principal.2 <| ht⟩ #align continuous_within_at.tendsto_nhds_within ContinuousWithinAt.tendsto_nhdsWithin theorem ContinuousWithinAt.tendsto_nhdsWithin_image {f : α → β} {x : α} {s : Set α} (h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝[f '' s] f x) := h.tendsto_nhdsWithin (mapsTo_image _ _) #align continuous_within_at.tendsto_nhds_within_image ContinuousWithinAt.tendsto_nhdsWithin_image theorem ContinuousWithinAt.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} {x : α} {y : β} (hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g t y) : ContinuousWithinAt (Prod.map f g) (s ×ˢ t) (x, y) := by unfold ContinuousWithinAt at * rw [nhdsWithin_prod_eq, Prod.map, nhds_prod_eq] exact hf.prod_map hg #align continuous_within_at.prod_map ContinuousWithinAt.prod_map theorem continuousWithinAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} {x : α × β} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨x.1, ·⟩) {b | (x.1, b) ∈ s} x.2 := by rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, pure_prod, ← map_inf_principal_preimage]; rfl theorem continuousWithinAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} {x : α × β} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨·, x.2⟩) {a | (a, x.2) ∈ s} x.1 := by rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, prod_pure, ← map_inf_principal_preimage]; rfl theorem continuousAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {x : α × β} : ContinuousAt f x ↔ ContinuousAt (f ⟨x.1, ·⟩) x.2 := by simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_left theorem continuousAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {x : α × β} : ContinuousAt f x ↔ ContinuousAt (f ⟨·, x.2⟩) x.1 := by simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_right theorem continuousOn_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} : ContinuousOn f s ↔ ∀ a, ContinuousOn (f ⟨a, ·⟩) {b | (a, b) ∈ s} := by simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_left]; rfl theorem continuousOn_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} : ContinuousOn f s ↔ ∀ b, ContinuousOn (f ⟨·, b⟩) {a | (a, b) ∈ s} := by simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_right]; apply forall_swap theorem continuous_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} : Continuous f ↔ ∀ a, Continuous (f ⟨a, ·⟩) := by simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_left theorem continuous_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} : Continuous f ↔ ∀ b, Continuous (f ⟨·, b⟩) := by simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_right theorem isOpenMap_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} : IsOpenMap f ↔ ∀ a, IsOpenMap (f ⟨a, ·⟩) := by simp_rw [isOpenMap_iff_nhds_le, Prod.forall, nhds_prod_eq, nhds_discrete, pure_prod, map_map] rfl theorem isOpenMap_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} : IsOpenMap f ↔ ∀ b, IsOpenMap (f ⟨·, b⟩) := by simp_rw [isOpenMap_iff_nhds_le, Prod.forall, forall_swap (α := α) (β := β), nhds_prod_eq, nhds_discrete, prod_pure, map_map]; rfl theorem continuousWithinAt_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} {x : α} : ContinuousWithinAt f s x ↔ ∀ i, ContinuousWithinAt (fun y => f y i) s x := tendsto_pi_nhds #align continuous_within_at_pi continuousWithinAt_pi theorem continuousOn_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} : ContinuousOn f s ↔ ∀ i, ContinuousOn (fun y => f y i) s := ⟨fun h i x hx => tendsto_pi_nhds.1 (h x hx) i, fun h x hx => tendsto_pi_nhds.2 fun i => h i x hx⟩ #align continuous_on_pi continuousOn_pi @[fun_prop] theorem continuousOn_pi' {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} (hf : ∀ i, ContinuousOn (fun y => f y i) s) : ContinuousOn f s := continuousOn_pi.2 hf theorem ContinuousWithinAt.fin_insertNth {n} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {a : α} {s : Set α} (hf : ContinuousWithinAt f s a) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousWithinAt g s a) : ContinuousWithinAt (fun a => i.insertNth (f a) (g a)) s a := hf.tendsto.fin_insertNth i hg #align continuous_within_at.fin_insert_nth ContinuousWithinAt.fin_insertNth nonrec theorem ContinuousOn.fin_insertNth {n} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {s : Set α} (hf : ContinuousOn f s) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousOn g s) : ContinuousOn (fun a => i.insertNth (f a) (g a)) s := fun a ha => (hf a ha).fin_insertNth i (hg a ha) #align continuous_on.fin_insert_nth ContinuousOn.fin_insertNth theorem continuousOn_iff {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ x ∈ s, ∀ t : Set β, IsOpen t → f x ∈ t → ∃ u, IsOpen u ∧ x ∈ u ∧ u ∩ s ⊆ f ⁻¹' t := by simp only [ContinuousOn, ContinuousWithinAt, tendsto_nhds, mem_nhdsWithin] #align continuous_on_iff continuousOn_iff theorem continuousOn_iff_continuous_restrict {f : α → β} {s : Set α} : ContinuousOn f s ↔ Continuous (s.restrict f) := by rw [ContinuousOn, continuous_iff_continuousAt]; constructor · rintro h ⟨x, xs⟩ exact (continuousWithinAt_iff_continuousAt_restrict f xs).mp (h x xs) intro h x xs exact (continuousWithinAt_iff_continuousAt_restrict f xs).mpr (h ⟨x, xs⟩) #align continuous_on_iff_continuous_restrict continuousOn_iff_continuous_restrict -- Porting note: 2 new lemmas alias ⟨ContinuousOn.restrict, _⟩ := continuousOn_iff_continuous_restrict theorem ContinuousOn.restrict_mapsTo {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (ht : MapsTo f s t) : Continuous (ht.restrict f s t) := hf.restrict.codRestrict _ theorem continuousOn_iff' {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ t : Set β, IsOpen t → ∃ u, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by have : ∀ t, IsOpen (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by intro t rw [isOpen_induced_iff, Set.restrict_eq, Set.preimage_comp] simp only [Subtype.preimage_coe_eq_preimage_coe_iff] constructor <;> · rintro ⟨u, ou, useq⟩ exact ⟨u, ou, by simpa only [Set.inter_comm, eq_comm] using useq⟩ rw [continuousOn_iff_continuous_restrict, continuous_def]; simp only [this] #align continuous_on_iff' continuousOn_iff' theorem ContinuousOn.mono_dom {α β : Type*} {t₁ t₂ : TopologicalSpace α} {t₃ : TopologicalSpace β} (h₁ : t₂ ≤ t₁) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₃ f s) : @ContinuousOn α β t₂ t₃ f s := fun x hx _u hu => map_mono (inf_le_inf_right _ <| nhds_mono h₁) (h₂ x hx hu) #align continuous_on.mono_dom ContinuousOn.mono_dom theorem ContinuousOn.mono_rng {α β : Type*} {t₁ : TopologicalSpace α} {t₂ t₃ : TopologicalSpace β} (h₁ : t₂ ≤ t₃) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₂ f s) : @ContinuousOn α β t₁ t₃ f s := fun x hx _u hu => h₂ x hx <| nhds_mono h₁ hu #align continuous_on.mono_rng ContinuousOn.mono_rng theorem continuousOn_iff_isClosed {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ t : Set β, IsClosed t → ∃ u, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by have : ∀ t, IsClosed (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by intro t rw [isClosed_induced_iff, Set.restrict_eq, Set.preimage_comp] simp only [Subtype.preimage_coe_eq_preimage_coe_iff, eq_comm, Set.inter_comm s] rw [continuousOn_iff_continuous_restrict, continuous_iff_isClosed]; simp only [this] #align continuous_on_iff_is_closed continuousOn_iff_isClosed theorem ContinuousOn.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (hg : ContinuousOn g t) : ContinuousOn (Prod.map f g) (s ×ˢ t) := fun ⟨x, y⟩ ⟨hx, hy⟩ => ContinuousWithinAt.prod_map (hf x hx) (hg y hy) #align continuous_on.prod_map ContinuousOn.prod_map theorem continuous_of_cover_nhds {ι : Sort*} {f : α → β} {s : ι → Set α} (hs : ∀ x : α, ∃ i, s i ∈ 𝓝 x) (hf : ∀ i, ContinuousOn f (s i)) : Continuous f := continuous_iff_continuousAt.mpr fun x ↦ let ⟨i, hi⟩ := hs x; by rw [ContinuousAt, ← nhdsWithin_eq_nhds.2 hi] exact hf _ _ (mem_of_mem_nhds hi) #align continuous_of_cover_nhds continuous_of_cover_nhds theorem continuousOn_empty (f : α → β) : ContinuousOn f ∅ := fun _ => False.elim #align continuous_on_empty continuousOn_empty @[simp] theorem continuousOn_singleton (f : α → β) (a : α) : ContinuousOn f {a} := forall_eq.2 <| by simpa only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_left] using fun s => mem_of_mem_nhds #align continuous_on_singleton continuousOn_singleton theorem Set.Subsingleton.continuousOn {s : Set α} (hs : s.Subsingleton) (f : α → β) : ContinuousOn f s := hs.induction_on (continuousOn_empty f) (continuousOn_singleton f) #align set.subsingleton.continuous_on Set.Subsingleton.continuousOn theorem nhdsWithin_le_comap {x : α} {s : Set α} {f : α → β} (ctsf : ContinuousWithinAt f s x) : 𝓝[s] x ≤ comap f (𝓝[f '' s] f x) := ctsf.tendsto_nhdsWithin_image.le_comap #align nhds_within_le_comap nhdsWithin_le_comap @[simp] theorem comap_nhdsWithin_range {α} (f : α → β) (y : β) : comap f (𝓝[range f] y) = comap f (𝓝 y) := comap_inf_principal_range #align comap_nhds_within_range comap_nhdsWithin_range theorem ContinuousWithinAt.mono {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x) (hs : s ⊆ t) : ContinuousWithinAt f s x := h.mono_left (nhdsWithin_mono x hs) #align continuous_within_at.mono ContinuousWithinAt.mono theorem ContinuousWithinAt.mono_of_mem {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x) (hs : t ∈ 𝓝[s] x) : ContinuousWithinAt f s x := h.mono_left (nhdsWithin_le_of_mem hs) #align continuous_within_at.mono_of_mem ContinuousWithinAt.mono_of_mem theorem continuousWithinAt_congr_nhds {f : α → β} {s t : Set α} {x : α} (h : 𝓝[s] x = 𝓝[t] x) : ContinuousWithinAt f s x ↔ ContinuousWithinAt f t x := by simp only [ContinuousWithinAt, h] theorem continuousWithinAt_inter' {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝[s] x) : ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by simp [ContinuousWithinAt, nhdsWithin_restrict'' s h] #align continuous_within_at_inter' continuousWithinAt_inter' theorem continuousWithinAt_inter {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝 x) : ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by simp [ContinuousWithinAt, nhdsWithin_restrict' s h] #align continuous_within_at_inter continuousWithinAt_inter theorem continuousWithinAt_union {f : α → β} {s t : Set α} {x : α} : ContinuousWithinAt f (s ∪ t) x ↔ ContinuousWithinAt f s x ∧ ContinuousWithinAt f t x := by simp only [ContinuousWithinAt, nhdsWithin_union, tendsto_sup] #align continuous_within_at_union continuousWithinAt_union theorem ContinuousWithinAt.union {f : α → β} {s t : Set α} {x : α} (hs : ContinuousWithinAt f s x) (ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s ∪ t) x := continuousWithinAt_union.2 ⟨hs, ht⟩ #align continuous_within_at.union ContinuousWithinAt.union theorem ContinuousWithinAt.mem_closure_image {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (hx : x ∈ closure s) : f x ∈ closure (f '' s) := haveI := mem_closure_iff_nhdsWithin_neBot.1 hx mem_closure_of_tendsto h <| mem_of_superset self_mem_nhdsWithin (subset_preimage_image f s) #align continuous_within_at.mem_closure_image ContinuousWithinAt.mem_closure_image theorem ContinuousWithinAt.mem_closure {f : α → β} {s : Set α} {x : α} {A : Set β} (h : ContinuousWithinAt f s x) (hx : x ∈ closure s) (hA : MapsTo f s A) : f x ∈ closure A := closure_mono (image_subset_iff.2 hA) (h.mem_closure_image hx) #align continuous_within_at.mem_closure ContinuousWithinAt.mem_closure theorem Set.MapsTo.closure_of_continuousWithinAt {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t) (hc : ∀ x ∈ closure s, ContinuousWithinAt f s x) : MapsTo f (closure s) (closure t) := fun x hx => (hc x hx).mem_closure hx h #align set.maps_to.closure_of_continuous_within_at Set.MapsTo.closure_of_continuousWithinAt theorem Set.MapsTo.closure_of_continuousOn {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t) (hc : ContinuousOn f (closure s)) : MapsTo f (closure s) (closure t) := h.closure_of_continuousWithinAt fun x hx => (hc x hx).mono subset_closure #align set.maps_to.closure_of_continuous_on Set.MapsTo.closure_of_continuousOn theorem ContinuousWithinAt.image_closure {f : α → β} {s : Set α} (hf : ∀ x ∈ closure s, ContinuousWithinAt f s x) : f '' closure s ⊆ closure (f '' s) := ((mapsTo_image f s).closure_of_continuousWithinAt hf).image_subset #align continuous_within_at.image_closure ContinuousWithinAt.image_closure theorem ContinuousOn.image_closure {f : α → β} {s : Set α} (hf : ContinuousOn f (closure s)) : f '' closure s ⊆ closure (f '' s) := ContinuousWithinAt.image_closure fun x hx => (hf x hx).mono subset_closure #align continuous_on.image_closure ContinuousOn.image_closure @[simp] theorem continuousWithinAt_singleton {f : α → β} {x : α} : ContinuousWithinAt f {x} x := by simp only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_nhds] #align continuous_within_at_singleton continuousWithinAt_singleton @[simp] theorem continuousWithinAt_insert_self {f : α → β} {x : α} {s : Set α} : ContinuousWithinAt f (insert x s) x ↔ ContinuousWithinAt f s x := by simp only [← singleton_union, continuousWithinAt_union, continuousWithinAt_singleton, true_and_iff] #align continuous_within_at_insert_self continuousWithinAt_insert_self alias ⟨_, ContinuousWithinAt.insert_self⟩ := continuousWithinAt_insert_self #align continuous_within_at.insert_self ContinuousWithinAt.insert_self theorem ContinuousWithinAt.diff_iff {f : α → β} {s t : Set α} {x : α} (ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s \ t) x ↔ ContinuousWithinAt f s x := ⟨fun h => (h.union ht).mono <| by simp only [diff_union_self, subset_union_left], fun h => h.mono diff_subset⟩ #align continuous_within_at.diff_iff ContinuousWithinAt.diff_iff @[simp] theorem continuousWithinAt_diff_self {f : α → β} {s : Set α} {x : α} : ContinuousWithinAt f (s \ {x}) x ↔ ContinuousWithinAt f s x := continuousWithinAt_singleton.diff_iff #align continuous_within_at_diff_self continuousWithinAt_diff_self @[simp] theorem continuousWithinAt_compl_self {f : α → β} {a : α} : ContinuousWithinAt f {a}ᶜ a ↔ ContinuousAt f a := by rw [compl_eq_univ_diff, continuousWithinAt_diff_self, continuousWithinAt_univ] #align continuous_within_at_compl_self continuousWithinAt_compl_self @[simp] theorem continuousWithinAt_update_same [DecidableEq α] {f : α → β} {s : Set α} {x : α} {y : β} : ContinuousWithinAt (update f x y) s x ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) := calc ContinuousWithinAt (update f x y) s x ↔ Tendsto (update f x y) (𝓝[s \ {x}] x) (𝓝 y) := by { rw [← continuousWithinAt_diff_self, ContinuousWithinAt, update_same] } _ ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) := tendsto_congr' <| eventually_nhdsWithin_iff.2 <| eventually_of_forall fun z hz => update_noteq hz.2 _ _ #align continuous_within_at_update_same continuousWithinAt_update_same @[simp] theorem continuousAt_update_same [DecidableEq α] {f : α → β} {x : α} {y : β} : ContinuousAt (Function.update f x y) x ↔ Tendsto f (𝓝[≠] x) (𝓝 y) := by rw [← continuousWithinAt_univ, continuousWithinAt_update_same, compl_eq_univ_diff] #align continuous_at_update_same continuousAt_update_same theorem IsOpenMap.continuousOn_image_of_leftInvOn {f : α → β} {s : Set α} (h : IsOpenMap (s.restrict f)) {finv : β → α} (hleft : LeftInvOn finv f s) : ContinuousOn finv (f '' s) := by refine continuousOn_iff'.2 fun t ht => ⟨f '' (t ∩ s), ?_, ?_⟩ · rw [← image_restrict] exact h _ (ht.preimage continuous_subtype_val) · rw [inter_eq_self_of_subset_left (image_subset f inter_subset_right), hleft.image_inter'] #align is_open_map.continuous_on_image_of_left_inv_on IsOpenMap.continuousOn_image_of_leftInvOn theorem IsOpenMap.continuousOn_range_of_leftInverse {f : α → β} (hf : IsOpenMap f) {finv : β → α} (hleft : Function.LeftInverse finv f) : ContinuousOn finv (range f) := by rw [← image_univ] exact (hf.restrict isOpen_univ).continuousOn_image_of_leftInvOn fun x _ => hleft x #align is_open_map.continuous_on_range_of_left_inverse IsOpenMap.continuousOn_range_of_leftInverse theorem ContinuousOn.congr_mono {f g : α → β} {s s₁ : Set α} (h : ContinuousOn f s) (h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) : ContinuousOn g s₁ := by intro x hx unfold ContinuousWithinAt have A := (h x (h₁ hx)).mono h₁ unfold ContinuousWithinAt at A rw [← h' hx] at A exact A.congr' h'.eventuallyEq_nhdsWithin.symm #align continuous_on.congr_mono ContinuousOn.congr_mono theorem ContinuousOn.congr {f g : α → β} {s : Set α} (h : ContinuousOn f s) (h' : EqOn g f s) : ContinuousOn g s := h.congr_mono h' (Subset.refl _) #align continuous_on.congr ContinuousOn.congr theorem continuousOn_congr {f g : α → β} {s : Set α} (h' : EqOn g f s) : ContinuousOn g s ↔ ContinuousOn f s := ⟨fun h => ContinuousOn.congr h h'.symm, fun h => h.congr h'⟩ #align continuous_on_congr continuousOn_congr theorem ContinuousAt.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : ContinuousAt f x) : ContinuousWithinAt f s x := ContinuousWithinAt.mono ((continuousWithinAt_univ f x).2 h) (subset_univ _) #align continuous_at.continuous_within_at ContinuousAt.continuousWithinAt
Mathlib/Topology/ContinuousOn.lean
892
894
theorem continuousWithinAt_iff_continuousAt {f : α → β} {s : Set α} {x : α} (h : s ∈ 𝓝 x) : ContinuousWithinAt f s x ↔ ContinuousAt f x := by
rw [← univ_inter s, continuousWithinAt_inter h, continuousWithinAt_univ]
import Mathlib.Algebra.CharP.Invertible import Mathlib.Algebra.Order.Interval.Set.Group import Mathlib.Analysis.Convex.Segment import Mathlib.LinearAlgebra.AffineSpace.FiniteDimensional import Mathlib.Tactic.FieldSimp #align_import analysis.convex.between from "leanprover-community/mathlib"@"571e13cacbed7bf042fd3058ce27157101433842" variable (R : Type*) {V V' P P' : Type*} open AffineEquiv AffineMap section OrderedRing variable [OrderedRing R] [AddCommGroup V] [Module R V] [AddTorsor V P] variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P'] def affineSegment (x y : P) := lineMap x y '' Set.Icc (0 : R) 1 #align affine_segment affineSegment theorem affineSegment_eq_segment (x y : V) : affineSegment R x y = segment R x y := by rw [segment_eq_image_lineMap, affineSegment] #align affine_segment_eq_segment affineSegment_eq_segment theorem affineSegment_comm (x y : P) : affineSegment R x y = affineSegment R y x := by refine Set.ext fun z => ?_ constructor <;> · rintro ⟨t, ht, hxy⟩ refine ⟨1 - t, ?_, ?_⟩ · rwa [Set.sub_mem_Icc_iff_right, sub_self, sub_zero] · rwa [lineMap_apply_one_sub] #align affine_segment_comm affineSegment_comm theorem left_mem_affineSegment (x y : P) : x ∈ affineSegment R x y := ⟨0, Set.left_mem_Icc.2 zero_le_one, lineMap_apply_zero _ _⟩ #align left_mem_affine_segment left_mem_affineSegment theorem right_mem_affineSegment (x y : P) : y ∈ affineSegment R x y := ⟨1, Set.right_mem_Icc.2 zero_le_one, lineMap_apply_one _ _⟩ #align right_mem_affine_segment right_mem_affineSegment @[simp] theorem affineSegment_same (x : P) : affineSegment R x x = {x} := by -- Porting note: added as this doesn't do anything in `simp_rw` any more rw [affineSegment] -- Note: when adding "simp made no progress" in lean4#2336, -- had to change `lineMap_same` to `lineMap_same _`. Not sure why? -- Porting note: added `_ _` and `Function.const` simp_rw [lineMap_same _, AffineMap.coe_const _ _, Function.const, (Set.nonempty_Icc.mpr zero_le_one).image_const] #align affine_segment_same affineSegment_same variable {R} @[simp] theorem affineSegment_image (f : P →ᵃ[R] P') (x y : P) : f '' affineSegment R x y = affineSegment R (f x) (f y) := by rw [affineSegment, affineSegment, Set.image_image, ← comp_lineMap] rfl #align affine_segment_image affineSegment_image variable (R) @[simp] theorem affineSegment_const_vadd_image (x y : P) (v : V) : (v +ᵥ ·) '' affineSegment R x y = affineSegment R (v +ᵥ x) (v +ᵥ y) := affineSegment_image (AffineEquiv.constVAdd R P v : P →ᵃ[R] P) x y #align affine_segment_const_vadd_image affineSegment_const_vadd_image @[simp] theorem affineSegment_vadd_const_image (x y : V) (p : P) : (· +ᵥ p) '' affineSegment R x y = affineSegment R (x +ᵥ p) (y +ᵥ p) := affineSegment_image (AffineEquiv.vaddConst R p : V →ᵃ[R] P) x y #align affine_segment_vadd_const_image affineSegment_vadd_const_image @[simp] theorem affineSegment_const_vsub_image (x y p : P) : (p -ᵥ ·) '' affineSegment R x y = affineSegment R (p -ᵥ x) (p -ᵥ y) := affineSegment_image (AffineEquiv.constVSub R p : P →ᵃ[R] V) x y #align affine_segment_const_vsub_image affineSegment_const_vsub_image @[simp] theorem affineSegment_vsub_const_image (x y p : P) : (· -ᵥ p) '' affineSegment R x y = affineSegment R (x -ᵥ p) (y -ᵥ p) := affineSegment_image ((AffineEquiv.vaddConst R p).symm : P →ᵃ[R] V) x y #align affine_segment_vsub_const_image affineSegment_vsub_const_image variable {R} @[simp] theorem mem_const_vadd_affineSegment {x y z : P} (v : V) : v +ᵥ z ∈ affineSegment R (v +ᵥ x) (v +ᵥ y) ↔ z ∈ affineSegment R x y := by rw [← affineSegment_const_vadd_image, (AddAction.injective v).mem_set_image] #align mem_const_vadd_affine_segment mem_const_vadd_affineSegment @[simp]
Mathlib/Analysis/Convex/Between.lean
121
123
theorem mem_vadd_const_affineSegment {x y z : V} (p : P) : z +ᵥ p ∈ affineSegment R (x +ᵥ p) (y +ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vadd_const_image, (vadd_right_injective p).mem_set_image]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Group.Instances import Mathlib.Algebra.Order.Group.MinMax import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Data.Finset.Preimage import Mathlib.Order.Interval.Set.Disjoint import Mathlib.Order.Interval.Set.OrderIso import Mathlib.Order.ConditionallyCompleteLattice.Basic import Mathlib.Order.Filter.Bases #align_import order.filter.at_top_bot from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" set_option autoImplicit true variable {ι ι' α β γ : Type*} open Set namespace Filter def atTop [Preorder α] : Filter α := ⨅ a, 𝓟 (Ici a) #align filter.at_top Filter.atTop def atBot [Preorder α] : Filter α := ⨅ a, 𝓟 (Iic a) #align filter.at_bot Filter.atBot theorem mem_atTop [Preorder α] (a : α) : { b : α | a ≤ b } ∈ @atTop α _ := mem_iInf_of_mem a <| Subset.refl _ #align filter.mem_at_top Filter.mem_atTop theorem Ici_mem_atTop [Preorder α] (a : α) : Ici a ∈ (atTop : Filter α) := mem_atTop a #align filter.Ici_mem_at_top Filter.Ici_mem_atTop theorem Ioi_mem_atTop [Preorder α] [NoMaxOrder α] (x : α) : Ioi x ∈ (atTop : Filter α) := let ⟨z, hz⟩ := exists_gt x mem_of_superset (mem_atTop z) fun _ h => lt_of_lt_of_le hz h #align filter.Ioi_mem_at_top Filter.Ioi_mem_atTop theorem mem_atBot [Preorder α] (a : α) : { b : α | b ≤ a } ∈ @atBot α _ := mem_iInf_of_mem a <| Subset.refl _ #align filter.mem_at_bot Filter.mem_atBot theorem Iic_mem_atBot [Preorder α] (a : α) : Iic a ∈ (atBot : Filter α) := mem_atBot a #align filter.Iic_mem_at_bot Filter.Iic_mem_atBot theorem Iio_mem_atBot [Preorder α] [NoMinOrder α] (x : α) : Iio x ∈ (atBot : Filter α) := let ⟨z, hz⟩ := exists_lt x mem_of_superset (mem_atBot z) fun _ h => lt_of_le_of_lt h hz #align filter.Iio_mem_at_bot Filter.Iio_mem_atBot theorem disjoint_atBot_principal_Ioi [Preorder α] (x : α) : Disjoint atBot (𝓟 (Ioi x)) := disjoint_of_disjoint_of_mem (Iic_disjoint_Ioi le_rfl) (Iic_mem_atBot x) (mem_principal_self _) #align filter.disjoint_at_bot_principal_Ioi Filter.disjoint_atBot_principal_Ioi theorem disjoint_atTop_principal_Iio [Preorder α] (x : α) : Disjoint atTop (𝓟 (Iio x)) := @disjoint_atBot_principal_Ioi αᵒᵈ _ _ #align filter.disjoint_at_top_principal_Iio Filter.disjoint_atTop_principal_Iio theorem disjoint_atTop_principal_Iic [Preorder α] [NoMaxOrder α] (x : α) : Disjoint atTop (𝓟 (Iic x)) := disjoint_of_disjoint_of_mem (Iic_disjoint_Ioi le_rfl).symm (Ioi_mem_atTop x) (mem_principal_self _) #align filter.disjoint_at_top_principal_Iic Filter.disjoint_atTop_principal_Iic theorem disjoint_atBot_principal_Ici [Preorder α] [NoMinOrder α] (x : α) : Disjoint atBot (𝓟 (Ici x)) := @disjoint_atTop_principal_Iic αᵒᵈ _ _ _ #align filter.disjoint_at_bot_principal_Ici Filter.disjoint_atBot_principal_Ici theorem disjoint_pure_atTop [Preorder α] [NoMaxOrder α] (x : α) : Disjoint (pure x) atTop := Disjoint.symm <| (disjoint_atTop_principal_Iic x).mono_right <| le_principal_iff.2 <| mem_pure.2 right_mem_Iic #align filter.disjoint_pure_at_top Filter.disjoint_pure_atTop theorem disjoint_pure_atBot [Preorder α] [NoMinOrder α] (x : α) : Disjoint (pure x) atBot := @disjoint_pure_atTop αᵒᵈ _ _ _ #align filter.disjoint_pure_at_bot Filter.disjoint_pure_atBot theorem not_tendsto_const_atTop [Preorder α] [NoMaxOrder α] (x : α) (l : Filter β) [l.NeBot] : ¬Tendsto (fun _ => x) l atTop := tendsto_const_pure.not_tendsto (disjoint_pure_atTop x) #align filter.not_tendsto_const_at_top Filter.not_tendsto_const_atTop theorem not_tendsto_const_atBot [Preorder α] [NoMinOrder α] (x : α) (l : Filter β) [l.NeBot] : ¬Tendsto (fun _ => x) l atBot := tendsto_const_pure.not_tendsto (disjoint_pure_atBot x) #align filter.not_tendsto_const_at_bot Filter.not_tendsto_const_atBot theorem disjoint_atBot_atTop [PartialOrder α] [Nontrivial α] : Disjoint (atBot : Filter α) atTop := by rcases exists_pair_ne α with ⟨x, y, hne⟩ by_cases hle : x ≤ y · refine disjoint_of_disjoint_of_mem ?_ (Iic_mem_atBot x) (Ici_mem_atTop y) exact Iic_disjoint_Ici.2 (hle.lt_of_ne hne).not_le · refine disjoint_of_disjoint_of_mem ?_ (Iic_mem_atBot y) (Ici_mem_atTop x) exact Iic_disjoint_Ici.2 hle #align filter.disjoint_at_bot_at_top Filter.disjoint_atBot_atTop theorem disjoint_atTop_atBot [PartialOrder α] [Nontrivial α] : Disjoint (atTop : Filter α) atBot := disjoint_atBot_atTop.symm #align filter.disjoint_at_top_at_bot Filter.disjoint_atTop_atBot theorem hasAntitoneBasis_atTop [Nonempty α] [Preorder α] [IsDirected α (· ≤ ·)] : (@atTop α _).HasAntitoneBasis Ici := .iInf_principal fun _ _ ↦ Ici_subset_Ici.2 theorem atTop_basis [Nonempty α] [SemilatticeSup α] : (@atTop α _).HasBasis (fun _ => True) Ici := hasAntitoneBasis_atTop.1 #align filter.at_top_basis Filter.atTop_basis theorem atTop_eq_generate_Ici [SemilatticeSup α] : atTop = generate (range (Ici (α := α))) := by rcases isEmpty_or_nonempty α with hα|hα · simp only [eq_iff_true_of_subsingleton] · simp [(atTop_basis (α := α)).eq_generate, range] theorem atTop_basis' [SemilatticeSup α] (a : α) : (@atTop α _).HasBasis (fun x => a ≤ x) Ici := ⟨fun _ => (@atTop_basis α ⟨a⟩ _).mem_iff.trans ⟨fun ⟨x, _, hx⟩ => ⟨x ⊔ a, le_sup_right, fun _y hy => hx (le_trans le_sup_left hy)⟩, fun ⟨x, _, hx⟩ => ⟨x, trivial, hx⟩⟩⟩ #align filter.at_top_basis' Filter.atTop_basis' theorem atBot_basis [Nonempty α] [SemilatticeInf α] : (@atBot α _).HasBasis (fun _ => True) Iic := @atTop_basis αᵒᵈ _ _ #align filter.at_bot_basis Filter.atBot_basis theorem atBot_basis' [SemilatticeInf α] (a : α) : (@atBot α _).HasBasis (fun x => x ≤ a) Iic := @atTop_basis' αᵒᵈ _ _ #align filter.at_bot_basis' Filter.atBot_basis' @[instance] theorem atTop_neBot [Nonempty α] [SemilatticeSup α] : NeBot (atTop : Filter α) := atTop_basis.neBot_iff.2 fun _ => nonempty_Ici #align filter.at_top_ne_bot Filter.atTop_neBot @[instance] theorem atBot_neBot [Nonempty α] [SemilatticeInf α] : NeBot (atBot : Filter α) := @atTop_neBot αᵒᵈ _ _ #align filter.at_bot_ne_bot Filter.atBot_neBot @[simp] theorem mem_atTop_sets [Nonempty α] [SemilatticeSup α] {s : Set α} : s ∈ (atTop : Filter α) ↔ ∃ a : α, ∀ b ≥ a, b ∈ s := atTop_basis.mem_iff.trans <| exists_congr fun _ => true_and_iff _ #align filter.mem_at_top_sets Filter.mem_atTop_sets @[simp] theorem mem_atBot_sets [Nonempty α] [SemilatticeInf α] {s : Set α} : s ∈ (atBot : Filter α) ↔ ∃ a : α, ∀ b ≤ a, b ∈ s := @mem_atTop_sets αᵒᵈ _ _ _ #align filter.mem_at_bot_sets Filter.mem_atBot_sets @[simp] theorem eventually_atTop [SemilatticeSup α] [Nonempty α] {p : α → Prop} : (∀ᶠ x in atTop, p x) ↔ ∃ a, ∀ b ≥ a, p b := mem_atTop_sets #align filter.eventually_at_top Filter.eventually_atTop @[simp] theorem eventually_atBot [SemilatticeInf α] [Nonempty α] {p : α → Prop} : (∀ᶠ x in atBot, p x) ↔ ∃ a, ∀ b ≤ a, p b := mem_atBot_sets #align filter.eventually_at_bot Filter.eventually_atBot theorem eventually_ge_atTop [Preorder α] (a : α) : ∀ᶠ x in atTop, a ≤ x := mem_atTop a #align filter.eventually_ge_at_top Filter.eventually_ge_atTop theorem eventually_le_atBot [Preorder α] (a : α) : ∀ᶠ x in atBot, x ≤ a := mem_atBot a #align filter.eventually_le_at_bot Filter.eventually_le_atBot theorem eventually_gt_atTop [Preorder α] [NoMaxOrder α] (a : α) : ∀ᶠ x in atTop, a < x := Ioi_mem_atTop a #align filter.eventually_gt_at_top Filter.eventually_gt_atTop theorem eventually_ne_atTop [Preorder α] [NoMaxOrder α] (a : α) : ∀ᶠ x in atTop, x ≠ a := (eventually_gt_atTop a).mono fun _ => ne_of_gt #align filter.eventually_ne_at_top Filter.eventually_ne_atTop protected theorem Tendsto.eventually_gt_atTop [Preorder β] [NoMaxOrder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atTop) (c : β) : ∀ᶠ x in l, c < f x := hf.eventually (eventually_gt_atTop c) #align filter.tendsto.eventually_gt_at_top Filter.Tendsto.eventually_gt_atTop protected theorem Tendsto.eventually_ge_atTop [Preorder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atTop) (c : β) : ∀ᶠ x in l, c ≤ f x := hf.eventually (eventually_ge_atTop c) #align filter.tendsto.eventually_ge_at_top Filter.Tendsto.eventually_ge_atTop protected theorem Tendsto.eventually_ne_atTop [Preorder β] [NoMaxOrder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atTop) (c : β) : ∀ᶠ x in l, f x ≠ c := hf.eventually (eventually_ne_atTop c) #align filter.tendsto.eventually_ne_at_top Filter.Tendsto.eventually_ne_atTop protected theorem Tendsto.eventually_ne_atTop' [Preorder β] [NoMaxOrder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atTop) (c : α) : ∀ᶠ x in l, x ≠ c := (hf.eventually_ne_atTop (f c)).mono fun _ => ne_of_apply_ne f #align filter.tendsto.eventually_ne_at_top' Filter.Tendsto.eventually_ne_atTop' theorem eventually_lt_atBot [Preorder α] [NoMinOrder α] (a : α) : ∀ᶠ x in atBot, x < a := Iio_mem_atBot a #align filter.eventually_lt_at_bot Filter.eventually_lt_atBot theorem eventually_ne_atBot [Preorder α] [NoMinOrder α] (a : α) : ∀ᶠ x in atBot, x ≠ a := (eventually_lt_atBot a).mono fun _ => ne_of_lt #align filter.eventually_ne_at_bot Filter.eventually_ne_atBot protected theorem Tendsto.eventually_lt_atBot [Preorder β] [NoMinOrder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atBot) (c : β) : ∀ᶠ x in l, f x < c := hf.eventually (eventually_lt_atBot c) #align filter.tendsto.eventually_lt_at_bot Filter.Tendsto.eventually_lt_atBot protected theorem Tendsto.eventually_le_atBot [Preorder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atBot) (c : β) : ∀ᶠ x in l, f x ≤ c := hf.eventually (eventually_le_atBot c) #align filter.tendsto.eventually_le_at_bot Filter.Tendsto.eventually_le_atBot protected theorem Tendsto.eventually_ne_atBot [Preorder β] [NoMinOrder β] {f : α → β} {l : Filter α} (hf : Tendsto f l atBot) (c : β) : ∀ᶠ x in l, f x ≠ c := hf.eventually (eventually_ne_atBot c) #align filter.tendsto.eventually_ne_at_bot Filter.Tendsto.eventually_ne_atBot theorem eventually_forall_ge_atTop [Preorder α] {p : α → Prop} : (∀ᶠ x in atTop, ∀ y, x ≤ y → p y) ↔ ∀ᶠ x in atTop, p x := by refine ⟨fun h ↦ h.mono fun x hx ↦ hx x le_rfl, fun h ↦ ?_⟩ rcases (hasBasis_iInf_principal_finite _).eventually_iff.1 h with ⟨S, hSf, hS⟩ refine mem_iInf_of_iInter hSf (V := fun x ↦ Ici x.1) (fun _ ↦ Subset.rfl) fun x hx y hy ↦ ?_ simp only [mem_iInter] at hS hx exact hS fun z hz ↦ le_trans (hx ⟨z, hz⟩) hy theorem eventually_forall_le_atBot [Preorder α] {p : α → Prop} : (∀ᶠ x in atBot, ∀ y, y ≤ x → p y) ↔ ∀ᶠ x in atBot, p x := eventually_forall_ge_atTop (α := αᵒᵈ) theorem Tendsto.eventually_forall_ge_atTop {α β : Type*} [Preorder β] {l : Filter α} {p : β → Prop} {f : α → β} (hf : Tendsto f l atTop) (h_evtl : ∀ᶠ x in atTop, p x) : ∀ᶠ x in l, ∀ y, f x ≤ y → p y := by rw [← Filter.eventually_forall_ge_atTop] at h_evtl; exact (h_evtl.comap f).filter_mono hf.le_comap
Mathlib/Order/Filter/AtTopBot.lean
270
273
theorem Tendsto.eventually_forall_le_atBot {α β : Type*} [Preorder β] {l : Filter α} {p : β → Prop} {f : α → β} (hf : Tendsto f l atBot) (h_evtl : ∀ᶠ x in atBot, p x) : ∀ᶠ x in l, ∀ y, y ≤ f x → p y := by
rw [← Filter.eventually_forall_le_atBot] at h_evtl; exact (h_evtl.comap f).filter_mono hf.le_comap
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open Real RealInnerProductSpace namespace EuclideanGeometry open InnerProductGeometry variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {p p₀ p₁ p₂ : P} nonrec def angle (p1 p2 p3 : P) : ℝ := angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2) #align euclidean_geometry.angle EuclideanGeometry.angle @[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) : ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1) have hf1 : (f x).1 ≠ 0 := by simp [hx12] have hf2 : (f x).2 ≠ 0 := by simp [hx32] exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle @[simp] theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂] [InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂] (f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map] #align affine_isometry.angle_map AffineIsometry.angle_map @[simp, norm_cast] theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) : haveI : Nonempty s := ⟨p₁⟩ ∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ := haveI : Nonempty s := ⟨p₁⟩ s.subtypeₐᵢ.angle_map p₁ p₂ p₃ #align affine_subspace.angle_coe AffineSubspace.angle_coe @[simp] theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd @[simp] theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ := (AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const @[simp] theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub @[simp] theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const @[simp] theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ := angle_vadd_const _ _ _ _ #align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const @[simp] theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ := angle_const_vadd _ _ _ _ #align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add @[simp] theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v #align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const @[simp] theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃ #align euclidean_geometry.angle_const_sub EuclideanGeometry.angle_const_sub @[simp] theorem angle_neg (v₁ v₂ v₃ : V) : ∠ (-v₁) (-v₂) (-v₃) = ∠ v₁ v₂ v₃ := by simpa only [zero_sub] using angle_const_sub 0 v₁ v₂ v₃ #align euclidean_geometry.angle_neg EuclideanGeometry.angle_neg nonrec theorem angle_comm (p1 p2 p3 : P) : ∠ p1 p2 p3 = ∠ p3 p2 p1 := angle_comm _ _ #align euclidean_geometry.angle_comm EuclideanGeometry.angle_comm nonrec theorem angle_nonneg (p1 p2 p3 : P) : 0 ≤ ∠ p1 p2 p3 := angle_nonneg _ _ #align euclidean_geometry.angle_nonneg EuclideanGeometry.angle_nonneg nonrec theorem angle_le_pi (p1 p2 p3 : P) : ∠ p1 p2 p3 ≤ π := angle_le_pi _ _ #align euclidean_geometry.angle_le_pi EuclideanGeometry.angle_le_pi @[simp] lemma angle_self_left (p₀ p : P) : ∠ p₀ p₀ p = π / 2 := by unfold angle rw [vsub_self] exact angle_zero_left _ #align euclidean_geometry.angle_eq_left EuclideanGeometry.angle_self_left @[simp] lemma angle_self_right (p₀ p : P) : ∠ p p₀ p₀ = π / 2 := by rw [angle_comm, angle_self_left] #align euclidean_geometry.angle_eq_right EuclideanGeometry.angle_self_right theorem angle_self_of_ne (h : p ≠ p₀) : ∠ p p₀ p = 0 := angle_self $ vsub_ne_zero.2 h #align euclidean_geometry.angle_eq_of_ne EuclideanGeometry.angle_self_of_ne @[deprecated (since := "2024-02-14")] alias angle_eq_left := angle_self_left @[deprecated (since := "2024-02-14")] alias angle_eq_right := angle_self_right @[deprecated (since := "2024-02-14")] alias angle_eq_of_ne := angle_self_of_ne theorem angle_eq_zero_of_angle_eq_pi_left {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p1 p3 = 0 := by unfold angle at h rw [angle_eq_pi_iff] at h rcases h with ⟨hp1p2, ⟨r, ⟨hr, hpr⟩⟩⟩ unfold angle rw [angle_eq_zero_iff] rw [← neg_vsub_eq_vsub_rev, neg_ne_zero] at hp1p2 use hp1p2, -r + 1, add_pos (neg_pos_of_neg hr) zero_lt_one rw [add_smul, ← neg_vsub_eq_vsub_rev p1 p2, smul_neg] simp [← hpr] #align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_left EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_left
Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean
178
181
theorem angle_eq_zero_of_angle_eq_pi_right {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p3 p1 = 0 := by
rw [angle_comm] at h exact angle_eq_zero_of_angle_eq_pi_left h
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Field.Rat import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Field.Rat import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.lym from "leanprover-community/mathlib"@"861a26926586cd46ff80264d121cdb6fa0e35cc1" open Finset Nat open FinsetFamily variable {𝕜 α : Type*} [LinearOrderedField 𝕜] namespace Finset section LYM section Falling variable [DecidableEq α] (k : ℕ) (𝒜 : Finset (Finset α)) def falling : Finset (Finset α) := 𝒜.sup <| powersetCard k #align finset.falling Finset.falling variable {𝒜 k} {s : Finset α}
Mathlib/Combinatorics/SetFamily/LYM.lean
131
133
theorem mem_falling : s ∈ falling k 𝒜 ↔ (∃ t ∈ 𝒜, s ⊆ t) ∧ s.card = k := by
simp_rw [falling, mem_sup, mem_powersetCard] aesop
import Mathlib.Data.Complex.Module import Mathlib.Data.Complex.Order import Mathlib.Data.Complex.Exponential import Mathlib.Analysis.RCLike.Basic import Mathlib.Topology.Algebra.InfiniteSum.Module import Mathlib.Topology.Instances.RealVectorSpace #align_import analysis.complex.basic from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" assert_not_exists Absorbs noncomputable section namespace Complex variable {z : ℂ} open ComplexConjugate Topology Filter instance : Norm ℂ := ⟨abs⟩ @[simp] theorem norm_eq_abs (z : ℂ) : ‖z‖ = abs z := rfl #align complex.norm_eq_abs Complex.norm_eq_abs lemma norm_I : ‖I‖ = 1 := abs_I theorem norm_exp_ofReal_mul_I (t : ℝ) : ‖exp (t * I)‖ = 1 := by simp only [norm_eq_abs, abs_exp_ofReal_mul_I] set_option linter.uppercaseLean3 false in #align complex.norm_exp_of_real_mul_I Complex.norm_exp_ofReal_mul_I instance instNormedAddCommGroup : NormedAddCommGroup ℂ := AddGroupNorm.toNormedAddCommGroup { abs with map_zero' := map_zero abs neg' := abs.map_neg eq_zero_of_map_eq_zero' := fun _ => abs.eq_zero.1 } instance : NormedField ℂ where dist_eq _ _ := rfl norm_mul' := map_mul abs instance : DenselyNormedField ℂ where lt_norm_lt r₁ r₂ h₀ hr := let ⟨x, h⟩ := exists_between hr ⟨x, by rwa [norm_eq_abs, abs_ofReal, abs_of_pos (h₀.trans_lt h.1)]⟩ instance {R : Type*} [NormedField R] [NormedAlgebra R ℝ] : NormedAlgebra R ℂ where norm_smul_le r x := by rw [← algebraMap_smul ℝ r x, real_smul, norm_mul, norm_eq_abs, abs_ofReal, ← Real.norm_eq_abs, norm_algebraMap'] variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℂ E] -- see Note [lower instance priority] instance (priority := 900) _root_.NormedSpace.complexToReal : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ ℂ E #align normed_space.complex_to_real NormedSpace.complexToReal -- see Note [lower instance priority] instance (priority := 900) _root_.NormedAlgebra.complexToReal {A : Type*} [SeminormedRing A] [NormedAlgebra ℂ A] : NormedAlgebra ℝ A := NormedAlgebra.restrictScalars ℝ ℂ A theorem dist_eq (z w : ℂ) : dist z w = abs (z - w) := rfl #align complex.dist_eq Complex.dist_eq theorem dist_eq_re_im (z w : ℂ) : dist z w = √((z.re - w.re) ^ 2 + (z.im - w.im) ^ 2) := by rw [sq, sq] rfl #align complex.dist_eq_re_im Complex.dist_eq_re_im @[simp] theorem dist_mk (x₁ y₁ x₂ y₂ : ℝ) : dist (mk x₁ y₁) (mk x₂ y₂) = √((x₁ - x₂) ^ 2 + (y₁ - y₂) ^ 2) := dist_eq_re_im _ _ #align complex.dist_mk Complex.dist_mk theorem dist_of_re_eq {z w : ℂ} (h : z.re = w.re) : dist z w = dist z.im w.im := by rw [dist_eq_re_im, h, sub_self, zero_pow two_ne_zero, zero_add, Real.sqrt_sq_eq_abs, Real.dist_eq] #align complex.dist_of_re_eq Complex.dist_of_re_eq theorem nndist_of_re_eq {z w : ℂ} (h : z.re = w.re) : nndist z w = nndist z.im w.im := NNReal.eq <| dist_of_re_eq h #align complex.nndist_of_re_eq Complex.nndist_of_re_eq theorem edist_of_re_eq {z w : ℂ} (h : z.re = w.re) : edist z w = edist z.im w.im := by rw [edist_nndist, edist_nndist, nndist_of_re_eq h] #align complex.edist_of_re_eq Complex.edist_of_re_eq theorem dist_of_im_eq {z w : ℂ} (h : z.im = w.im) : dist z w = dist z.re w.re := by rw [dist_eq_re_im, h, sub_self, zero_pow two_ne_zero, add_zero, Real.sqrt_sq_eq_abs, Real.dist_eq] #align complex.dist_of_im_eq Complex.dist_of_im_eq theorem nndist_of_im_eq {z w : ℂ} (h : z.im = w.im) : nndist z w = nndist z.re w.re := NNReal.eq <| dist_of_im_eq h #align complex.nndist_of_im_eq Complex.nndist_of_im_eq theorem edist_of_im_eq {z w : ℂ} (h : z.im = w.im) : edist z w = edist z.re w.re := by rw [edist_nndist, edist_nndist, nndist_of_im_eq h] #align complex.edist_of_im_eq Complex.edist_of_im_eq theorem dist_conj_self (z : ℂ) : dist (conj z) z = 2 * |z.im| := by rw [dist_of_re_eq (conj_re z), conj_im, dist_comm, Real.dist_eq, sub_neg_eq_add, ← two_mul, _root_.abs_mul, abs_of_pos (zero_lt_two' ℝ)] #align complex.dist_conj_self Complex.dist_conj_self theorem nndist_conj_self (z : ℂ) : nndist (conj z) z = 2 * Real.nnabs z.im := NNReal.eq <| by rw [← dist_nndist, NNReal.coe_mul, NNReal.coe_two, Real.coe_nnabs, dist_conj_self] #align complex.nndist_conj_self Complex.nndist_conj_self theorem dist_self_conj (z : ℂ) : dist z (conj z) = 2 * |z.im| := by rw [dist_comm, dist_conj_self] #align complex.dist_self_conj Complex.dist_self_conj theorem nndist_self_conj (z : ℂ) : nndist z (conj z) = 2 * Real.nnabs z.im := by rw [nndist_comm, nndist_conj_self] #align complex.nndist_self_conj Complex.nndist_self_conj @[simp 1100] theorem comap_abs_nhds_zero : comap abs (𝓝 0) = 𝓝 0 := comap_norm_nhds_zero #align complex.comap_abs_nhds_zero Complex.comap_abs_nhds_zero theorem norm_real (r : ℝ) : ‖(r : ℂ)‖ = ‖r‖ := abs_ofReal _ #align complex.norm_real Complex.norm_real @[simp 1100] theorem norm_rat (r : ℚ) : ‖(r : ℂ)‖ = |(r : ℝ)| := by rw [← ofReal_ratCast] exact norm_real _ #align complex.norm_rat Complex.norm_rat @[simp 1100] theorem norm_nat (n : ℕ) : ‖(n : ℂ)‖ = n := abs_natCast _ #align complex.norm_nat Complex.norm_nat @[simp 1100] lemma norm_int {n : ℤ} : ‖(n : ℂ)‖ = |(n : ℝ)| := abs_intCast n #align complex.norm_int Complex.norm_int theorem norm_int_of_nonneg {n : ℤ} (hn : 0 ≤ n) : ‖(n : ℂ)‖ = n := by rw [norm_int, ← Int.cast_abs, _root_.abs_of_nonneg hn] #align complex.norm_int_of_nonneg Complex.norm_int_of_nonneg lemma normSq_eq_norm_sq (z : ℂ) : normSq z = ‖z‖ ^ 2 := by rw [normSq_eq_abs, norm_eq_abs] @[continuity] theorem continuous_abs : Continuous abs := continuous_norm #align complex.continuous_abs Complex.continuous_abs @[continuity] theorem continuous_normSq : Continuous normSq := by simpa [← normSq_eq_abs] using continuous_abs.pow 2 #align complex.continuous_norm_sq Complex.continuous_normSq @[simp, norm_cast] theorem nnnorm_real (r : ℝ) : ‖(r : ℂ)‖₊ = ‖r‖₊ := Subtype.ext <| norm_real r #align complex.nnnorm_real Complex.nnnorm_real @[simp, norm_cast] theorem nnnorm_nat (n : ℕ) : ‖(n : ℂ)‖₊ = n := Subtype.ext <| by simp #align complex.nnnorm_nat Complex.nnnorm_nat @[simp, norm_cast] theorem nnnorm_int (n : ℤ) : ‖(n : ℂ)‖₊ = ‖n‖₊ := Subtype.ext norm_int #align complex.nnnorm_int Complex.nnnorm_int theorem nnnorm_eq_one_of_pow_eq_one {ζ : ℂ} {n : ℕ} (h : ζ ^ n = 1) (hn : n ≠ 0) : ‖ζ‖₊ = 1 := (pow_left_inj zero_le' zero_le' hn).1 <| by rw [← nnnorm_pow, h, nnnorm_one, one_pow] #align complex.nnnorm_eq_one_of_pow_eq_one Complex.nnnorm_eq_one_of_pow_eq_one theorem norm_eq_one_of_pow_eq_one {ζ : ℂ} {n : ℕ} (h : ζ ^ n = 1) (hn : n ≠ 0) : ‖ζ‖ = 1 := congr_arg Subtype.val (nnnorm_eq_one_of_pow_eq_one h hn) #align complex.norm_eq_one_of_pow_eq_one Complex.norm_eq_one_of_pow_eq_one
Mathlib/Analysis/Complex/Basic.lean
217
218
theorem equivRealProd_apply_le (z : ℂ) : ‖equivRealProd z‖ ≤ abs z := by
simp [Prod.norm_def, abs_re_le_abs, abs_im_le_abs]
import Mathlib.Order.Filter.SmallSets import Mathlib.Tactic.Monotonicity import Mathlib.Topology.Compactness.Compact import Mathlib.Topology.NhdsSet import Mathlib.Algebra.Group.Defs #align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c" open Set Filter Topology universe u v ua ub uc ud variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*} def idRel {α : Type*} := { p : α × α | p.1 = p.2 } #align id_rel idRel @[simp] theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b := Iff.rfl #align mem_id_rel mem_idRel @[simp] theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by simp [subset_def] #align id_rel_subset idRel_subset def compRel (r₁ r₂ : Set (α × α)) := { p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ } #align comp_rel compRel @[inherit_doc] scoped[Uniformity] infixl:62 " ○ " => compRel open Uniformity @[simp] theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} : (x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ := Iff.rfl #align mem_comp_rel mem_compRel @[simp] theorem swap_idRel : Prod.swap '' idRel = @idRel α := Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm #align swap_id_rel swap_idRel theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) : Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩ #align monotone.comp_rel Monotone.compRel @[mono] theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k := fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩ #align comp_rel_mono compRel_mono theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) : (a, b) ∈ s ○ t := ⟨c, h₁, h₂⟩ #align prod_mk_mem_comp_rel prod_mk_mem_compRel @[simp] theorem id_compRel {r : Set (α × α)} : idRel ○ r = r := Set.ext fun ⟨a, b⟩ => by simp #align id_comp_rel id_compRel theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by ext ⟨a, b⟩; simp only [mem_compRel]; tauto #align comp_rel_assoc compRel_assoc theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in => ⟨y, xy_in, h <| rfl⟩ #align left_subset_comp_rel left_subset_compRel theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in => ⟨x, h <| rfl, xy_in⟩ #align right_subset_comp_rel right_subset_compRel theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s := left_subset_compRel h #align subset_comp_self subset_comp_self theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) : t ⊆ (s ○ ·)^[n] t := by induction' n with n ihn generalizing t exacts [Subset.rfl, (right_subset_compRel h).trans ihn] #align subset_iterate_comp_rel subset_iterate_compRel def SymmetricRel (V : Set (α × α)) : Prop := Prod.swap ⁻¹' V = V #align symmetric_rel SymmetricRel def symmetrizeRel (V : Set (α × α)) : Set (α × α) := V ∩ Prod.swap ⁻¹' V #align symmetrize_rel symmetrizeRel theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp] #align symmetric_symmetrize_rel symmetric_symmetrizeRel theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V := sep_subset _ _ #align symmetrize_rel_subset_self symmetrizeRel_subset_self @[mono] theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W := inter_subset_inter h <| preimage_mono h #align symmetrize_mono symmetrize_mono theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} : (x, y) ∈ V ↔ (y, x) ∈ V := Set.ext_iff.1 hV (y, x) #align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U := hU #align symmetric_rel.eq SymmetricRel.eq theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) : SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq] #align symmetric_rel.inter SymmetricRel.inter structure UniformSpace.Core (α : Type u) where uniformity : Filter (α × α) refl : 𝓟 idRel ≤ uniformity symm : Tendsto Prod.swap uniformity uniformity comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity #align uniform_space.core UniformSpace.Core protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)} (hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s := (mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) : UniformSpace.Core α := ⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru => let ⟨_s, hs, hsr⟩ := comp _ ru mem_of_superset (mem_lift' hs) hsr⟩ #align uniform_space.core.mk' UniformSpace.Core.mk' def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α)) (refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r) (comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where uniformity := B.filter refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id)) B.hasBasis).2 comp #align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) : TopologicalSpace α := .mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity #align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace theorem UniformSpace.Core.ext : ∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂ | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align uniform_space.core_eq UniformSpace.Core.ext theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) : @nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _) · exact fun a U hU ↦ u.refl hU rfl · intro a U hU rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩ filter_upwards [preimage_mem_comap hV] with b hb filter_upwards [preimage_mem_comap hV] with c hc exact hVU ⟨b, hb, hc⟩ -- the topological structure is embedded in the uniform structure -- to avoid instance diamond issues. See Note [forgetful inheritance]. class UniformSpace (α : Type u) extends TopologicalSpace α where protected uniformity : Filter (α × α) protected symm : Tendsto Prod.swap uniformity uniformity protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity #align uniform_space UniformSpace #noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) := @UniformSpace.uniformity α _ #align uniformity uniformity scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u @[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def? scoped[Uniformity] notation "𝓤" => uniformity abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α) (h : t = u.toTopologicalSpace) : UniformSpace α where __ := u toTopologicalSpace := t nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace] #align uniform_space.of_core_eq UniformSpace.ofCoreEq abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α := .ofCoreEq u _ rfl #align uniform_space.of_core UniformSpace.ofCore abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where __ := u refl := by rintro U hU ⟨x, y⟩ (rfl : x = y) have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by rw [UniformSpace.nhds_eq_comap_uniformity] exact preimage_mem_comap hU convert mem_of_mem_nhds this theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) : u.toCore.toTopologicalSpace = u.toTopologicalSpace := TopologicalSpace.ext_nhds fun a ↦ by rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace] #align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace @[deprecated UniformSpace.mk (since := "2024-03-20")] def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α) (h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where __ := u nhds_eq_comap_uniformity := h @[ext] protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity] exact congr_arg (comap _) h cases u₁; cases u₂; congr #align uniform_space_eq UniformSpace.ext protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} : u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] := ⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α) (h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u := UniformSpace.ext rfl #align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α) (h : i = u.toTopologicalSpace) : UniformSpace α where __ := u toTopologicalSpace := i nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity] #align uniform_space.replace_topology UniformSpace.replaceTopology theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α) (h : i = u.toTopologicalSpace) : u.replaceTopology h = u := UniformSpace.ext rfl #align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq -- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β] (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x) (triangle : ∀ x y z, d x z ≤ d x y + d y z) (half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) : UniformSpace α := .ofCore { uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r } refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl] symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2 fun x hx => by rwa [mem_setOf, symm] comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <| mem_of_superset (mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _) fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) } #align uniform_space.of_fun UniformSpace.ofFun theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β] (h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x) (triangle : ∀ x y z, d x z ≤ d x y + d y z) (half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) : 𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) := hasBasis_biInf_principal' (fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _), fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀ #align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun section UniformSpace variable [UniformSpace α] theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) := UniformSpace.nhds_eq_comap_uniformity x #align nhds_eq_comap_uniformity nhds_eq_comap_uniformity theorem isOpen_uniformity {s : Set α} : IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk] #align is_open_uniformity isOpen_uniformity theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α := (@UniformSpace.toCore α _).refl #align refl_le_uniformity refl_le_uniformity instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) := diagonal_nonempty.principal_neBot.mono refl_le_uniformity #align uniformity.ne_bot uniformity.neBot theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s := refl_le_uniformity h rfl #align refl_mem_uniformity refl_mem_uniformity theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s := refl_le_uniformity h hx #align mem_uniformity_of_eq mem_uniformity_of_eq theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ := UniformSpace.symm #align symm_le_uniformity symm_le_uniformity theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α := UniformSpace.comp #align comp_le_uniformity comp_le_uniformity theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α := comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <| subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) := symm_le_uniformity #align tendsto_swap_uniformity tendsto_swap_uniformity theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s := (mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs #align comp_mem_uniformity_sets comp_mem_uniformity_sets theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) : ∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2 induction' n with n ihn generalizing s · simpa rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩ refine (ihn htU).mono fun U hU => ?_ rw [Function.iterate_succ_apply'] exact ⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts, (compRel_mono hU.1 hU.2).trans hts⟩ #align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s := eventually_uniformity_iterate_comp_subset hs 1 #align eventually_uniformity_comp_subset eventually_uniformity_comp_subset theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α} (h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α)) (h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩ #align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) : Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) := tendsto_swap_uniformity.comp h #align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) : Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs => mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs #align tendsto_diag_uniformity tendsto_diag_uniformity theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) := tendsto_diag_uniformity (fun _ => a) f #align tendsto_const_uniformity tendsto_const_uniformity theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s := have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs ⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩ #align symm_of_uniformity symm_of_uniformity theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s := let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁ ⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩ #align comp_symm_of_uniformity comp_symm_of_uniformity theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap #align uniformity_le_symm uniformity_le_symm theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α := le_antisymm uniformity_le_symm symm_le_uniformity #align uniformity_eq_symm uniformity_eq_symm @[simp] theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α := (congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective #align comap_swap_uniformity comap_swap_uniformity theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by apply (𝓤 α).inter_sets h rw [← image_swap_eq_preimage_swap, uniformity_eq_symm] exact image_mem_map h #align symmetrize_mem_uniformity symmetrize_mem_uniformity theorem UniformSpace.hasBasis_symmetric : (𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id := hasBasis_self.2 fun t t_in => ⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t, symmetrizeRel_subset_self t⟩ #align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g) (h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f := calc (𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g := lift_mono uniformity_le_symm le_rfl _ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h #align uniformity_lift_le_swap uniformity_lift_le_swap theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) : ((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f := calc ((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by rw [lift_lift'_assoc] · exact monotone_id.compRel monotone_id · exact h _ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl #align uniformity_lift_le_comp uniformity_lift_le_comp -- Porting note (#10756): new lemma theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s := let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht' ⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩ theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h => let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h mem_of_superset (mem_lift' htU) ht #align comp_le_uniformity3 comp_le_uniformity3 theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w calc symmetrizeRel w ○ symmetrizeRel w _ ⊆ w ○ w := by mono _ ⊆ s := w_sub #align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s := subset_comp_self (refl_le_uniformity h) #align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩ rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩ use t, t_in, t_symm have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in -- Porting note: Needed the following `have`s to make `mono` work have ht := Subset.refl t have hw := Subset.refl w calc t ○ t ○ t ⊆ w ○ t := by mono _ ⊆ w ○ (t ○ t) := by mono _ ⊆ w ○ w := by mono _ ⊆ s := w_sub #align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β := Prod.mk x ⁻¹' V #align uniform_space.ball UniformSpace.ball open UniformSpace (ball) theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V := refl_mem_uniformity hV #align uniform_space.mem_ball_self UniformSpace.mem_ball_self theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) : z ∈ ball x (V ○ W) := prod_mk_mem_compRel h h' #align mem_ball_comp mem_ball_comp theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) : ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in) #align ball_subset_of_comp_subset ball_subset_of_comp_subset theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W := preimage_mono h #align ball_mono ball_mono theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W := preimage_inter #align ball_inter ball_inter theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V := ball_mono inter_subset_left x #align ball_inter_left ball_inter_left theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W := ball_mono inter_subset_right x #align ball_inter_right ball_inter_right theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} : x ∈ ball y V ↔ y ∈ ball x V := show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by unfold SymmetricRel at hV rw [hV] #align mem_ball_symmetry mem_ball_symmetry theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} : ball x V = { y | (y, x) ∈ V } := by ext y rw [mem_ball_symmetry hV] exact Iff.rfl #align ball_eq_of_symmetry ball_eq_of_symmetry theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V) (hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by rw [mem_ball_symmetry hV] at hx exact ⟨z, hx, hy⟩ #align mem_comp_of_mem_ball mem_comp_of_mem_ball theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) := hV.preimage <| continuous_const.prod_mk continuous_id #align uniform_space.is_open_ball UniformSpace.isOpen_ball theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) : IsClosed (ball x V) := hV.preimage <| continuous_const.prod_mk continuous_id theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} : p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by cases' p with x y constructor · rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩ exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩ · rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩ rw [mem_ball_symmetry hW'] at z_in exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩ #align mem_comp_comp mem_comp_comp theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} : s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk] #align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} : s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right] simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap] #align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) : 𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by simp [nhdsWithin, nhds_eq_comap_uniformity, hx] theorem nhdsWithin_eq_comap_uniformity {x : α} (S : Set α) : 𝓝[S] x = (𝓤 α ⊓ 𝓟 (univ ×ˢ S)).comap (Prod.mk x) := nhdsWithin_eq_comap_uniformity_of_mem (mem_univ _) S theorem isOpen_iff_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s := by simp_rw [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap, ball] #align is_open_iff_ball_subset isOpen_iff_ball_subset theorem nhds_basis_uniformity' {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s) {x : α} : (𝓝 x).HasBasis p fun i => ball x (s i) := by rw [nhds_eq_comap_uniformity] exact h.comap (Prod.mk x) #align nhds_basis_uniformity' nhds_basis_uniformity' theorem nhds_basis_uniformity {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s) {x : α} : (𝓝 x).HasBasis p fun i => { y | (y, x) ∈ s i } := by replace h := h.comap Prod.swap rw [comap_swap_uniformity] at h exact nhds_basis_uniformity' h #align nhds_basis_uniformity nhds_basis_uniformity theorem nhds_eq_comap_uniformity' {x : α} : 𝓝 x = (𝓤 α).comap fun y => (y, x) := (nhds_basis_uniformity (𝓤 α).basis_sets).eq_of_same_basis <| (𝓤 α).basis_sets.comap _ #align nhds_eq_comap_uniformity' nhds_eq_comap_uniformity' theorem UniformSpace.mem_nhds_iff {x : α} {s : Set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s := by rw [nhds_eq_comap_uniformity, mem_comap] simp_rw [ball] #align uniform_space.mem_nhds_iff UniformSpace.mem_nhds_iff theorem UniformSpace.ball_mem_nhds (x : α) ⦃V : Set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x := by rw [UniformSpace.mem_nhds_iff] exact ⟨V, V_in, Subset.rfl⟩ #align uniform_space.ball_mem_nhds UniformSpace.ball_mem_nhds theorem UniformSpace.ball_mem_nhdsWithin {x : α} {S : Set α} ⦃V : Set (α × α)⦄ (x_in : x ∈ S) (V_in : V ∈ 𝓤 α ⊓ 𝓟 (S ×ˢ S)) : ball x V ∈ 𝓝[S] x := by rw [nhdsWithin_eq_comap_uniformity_of_mem x_in, mem_comap] exact ⟨V, V_in, Subset.rfl⟩ theorem UniformSpace.mem_nhds_iff_symm {x : α} {s : Set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, SymmetricRel V ∧ ball x V ⊆ s := by rw [UniformSpace.mem_nhds_iff] constructor · rintro ⟨V, V_in, V_sub⟩ use symmetrizeRel V, symmetrize_mem_uniformity V_in, symmetric_symmetrizeRel V exact Subset.trans (ball_mono (symmetrizeRel_subset_self V) x) V_sub · rintro ⟨V, V_in, _, V_sub⟩ exact ⟨V, V_in, V_sub⟩ #align uniform_space.mem_nhds_iff_symm UniformSpace.mem_nhds_iff_symm theorem UniformSpace.hasBasis_nhds (x : α) : HasBasis (𝓝 x) (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s := ⟨fun t => by simp [UniformSpace.mem_nhds_iff_symm, and_assoc]⟩ #align uniform_space.has_basis_nhds UniformSpace.hasBasis_nhds open UniformSpace theorem UniformSpace.mem_closure_iff_symm_ball {s : Set α} {x} : x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (s ∩ ball x V).Nonempty := by simp [mem_closure_iff_nhds_basis (hasBasis_nhds x), Set.Nonempty] #align uniform_space.mem_closure_iff_symm_ball UniformSpace.mem_closure_iff_symm_ball theorem UniformSpace.mem_closure_iff_ball {s : Set α} {x} : x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → (ball x V ∩ s).Nonempty := by simp [mem_closure_iff_nhds_basis' (nhds_basis_uniformity' (𝓤 α).basis_sets)] #align uniform_space.mem_closure_iff_ball UniformSpace.mem_closure_iff_ball theorem UniformSpace.hasBasis_nhds_prod (x y : α) : HasBasis (𝓝 (x, y)) (fun s => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s ×ˢ ball y s := by rw [nhds_prod_eq] apply (hasBasis_nhds x).prod_same_index (hasBasis_nhds y) rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩ exact ⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, U_symm.inter V_symm⟩, ball_inter_left x U V, ball_inter_right y U V⟩ #align uniform_space.has_basis_nhds_prod UniformSpace.hasBasis_nhds_prod theorem nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (ball x) := (nhds_basis_uniformity' (𝓤 α).basis_sets).eq_biInf #align nhds_eq_uniformity nhds_eq_uniformity theorem nhds_eq_uniformity' {x : α} : 𝓝 x = (𝓤 α).lift' fun s => { y | (y, x) ∈ s } := (nhds_basis_uniformity (𝓤 α).basis_sets).eq_biInf #align nhds_eq_uniformity' nhds_eq_uniformity' theorem mem_nhds_left (x : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { y : α | (x, y) ∈ s } ∈ 𝓝 x := ball_mem_nhds x h #align mem_nhds_left mem_nhds_left theorem mem_nhds_right (y : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { x : α | (x, y) ∈ s } ∈ 𝓝 y := mem_nhds_left _ (symm_le_uniformity h) #align mem_nhds_right mem_nhds_right theorem exists_mem_nhds_ball_subset_of_mem_nhds {a : α} {U : Set α} (h : U ∈ 𝓝 a) : ∃ V ∈ 𝓝 a, ∃ t ∈ 𝓤 α, ∀ a' ∈ V, UniformSpace.ball a' t ⊆ U := let ⟨t, ht, htU⟩ := comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 h) ⟨_, mem_nhds_left a ht, t, ht, fun a₁ h₁ a₂ h₂ => @htU (a, a₂) ⟨a₁, h₁, h₂⟩ rfl⟩ #align exists_mem_nhds_ball_subset_of_mem_nhds exists_mem_nhds_ball_subset_of_mem_nhds theorem tendsto_right_nhds_uniformity {a : α} : Tendsto (fun a' => (a', a)) (𝓝 a) (𝓤 α) := fun _ => mem_nhds_right a #align tendsto_right_nhds_uniformity tendsto_right_nhds_uniformity theorem tendsto_left_nhds_uniformity {a : α} : Tendsto (fun a' => (a, a')) (𝓝 a) (𝓤 α) := fun _ => mem_nhds_left a #align tendsto_left_nhds_uniformity tendsto_left_nhds_uniformity theorem lift_nhds_left {x : α} {g : Set α → Filter β} (hg : Monotone g) : (𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g (ball x s) := by rw [nhds_eq_comap_uniformity, comap_lift_eq2 hg] simp_rw [ball, Function.comp] #align lift_nhds_left lift_nhds_left theorem lift_nhds_right {x : α} {g : Set α → Filter β} (hg : Monotone g) : (𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g { y | (y, x) ∈ s } := by rw [nhds_eq_comap_uniformity', comap_lift_eq2 hg] simp_rw [Function.comp, preimage] #align lift_nhds_right lift_nhds_right theorem nhds_nhds_eq_uniformity_uniformity_prod {a b : α} : 𝓝 a ×ˢ 𝓝 b = (𝓤 α).lift fun s : Set (α × α) => (𝓤 α).lift' fun t => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ t } := by rw [nhds_eq_uniformity', nhds_eq_uniformity, prod_lift'_lift'] exacts [rfl, monotone_preimage, monotone_preimage] #align nhds_nhds_eq_uniformity_uniformity_prod nhds_nhds_eq_uniformity_uniformity_prod theorem nhds_eq_uniformity_prod {a b : α} : 𝓝 (a, b) = (𝓤 α).lift' fun s : Set (α × α) => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ s } := by rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift'] · exact fun s => monotone_const.set_prod monotone_preimage · refine fun t => Monotone.set_prod ?_ monotone_const exact monotone_preimage (f := fun y => (y, a)) #align nhds_eq_uniformity_prod nhds_eq_uniformity_prod theorem nhdset_of_mem_uniformity {d : Set (α × α)} (s : Set (α × α)) (hd : d ∈ 𝓤 α) : ∃ t : Set (α × α), IsOpen t ∧ s ⊆ t ∧ t ⊆ { p | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d } := by let cl_d := { p : α × α | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d } have : ∀ p ∈ s, ∃ t, t ⊆ cl_d ∧ IsOpen t ∧ p ∈ t := fun ⟨x, y⟩ hp => mem_nhds_iff.mp <| show cl_d ∈ 𝓝 (x, y) by rw [nhds_eq_uniformity_prod, mem_lift'_sets] · exact ⟨d, hd, fun ⟨a, b⟩ ⟨ha, hb⟩ => ⟨x, y, ha, hp, hb⟩⟩ · exact fun _ _ h _ h' => ⟨h h'.1, h h'.2⟩ choose t ht using this exact ⟨(⋃ p : α × α, ⋃ h : p ∈ s, t p h : Set (α × α)), isOpen_iUnion fun p : α × α => isOpen_iUnion fun hp => (ht p hp).right.left, fun ⟨a, b⟩ hp => by simp only [mem_iUnion, Prod.exists]; exact ⟨a, b, hp, (ht (a, b) hp).right.right⟩, iUnion_subset fun p => iUnion_subset fun hp => (ht p hp).left⟩ #align nhdset_of_mem_uniformity nhdset_of_mem_uniformity theorem nhds_le_uniformity (x : α) : 𝓝 (x, x) ≤ 𝓤 α := by intro V V_in rcases comp_symm_mem_uniformity_sets V_in with ⟨w, w_in, w_symm, w_sub⟩ have : ball x w ×ˢ ball x w ∈ 𝓝 (x, x) := by rw [nhds_prod_eq] exact prod_mem_prod (ball_mem_nhds x w_in) (ball_mem_nhds x w_in) apply mem_of_superset this rintro ⟨u, v⟩ ⟨u_in, v_in⟩ exact w_sub (mem_comp_of_mem_ball w_symm u_in v_in) #align nhds_le_uniformity nhds_le_uniformity theorem iSup_nhds_le_uniformity : ⨆ x : α, 𝓝 (x, x) ≤ 𝓤 α := iSup_le nhds_le_uniformity #align supr_nhds_le_uniformity iSup_nhds_le_uniformity theorem nhdsSet_diagonal_le_uniformity : 𝓝ˢ (diagonal α) ≤ 𝓤 α := (nhdsSet_diagonal α).trans_le iSup_nhds_le_uniformity #align nhds_set_diagonal_le_uniformity nhdsSet_diagonal_le_uniformity theorem closure_eq_uniformity (s : Set <| α × α) : closure s = ⋂ V ∈ { V | V ∈ 𝓤 α ∧ SymmetricRel V }, V ○ s ○ V := by ext ⟨x, y⟩ simp (config := { contextual := true }) only [mem_closure_iff_nhds_basis (UniformSpace.hasBasis_nhds_prod x y), mem_iInter, mem_setOf_eq, and_imp, mem_comp_comp, exists_prop, ← mem_inter_iff, inter_comm, Set.Nonempty] #align closure_eq_uniformity closure_eq_uniformity theorem uniformity_hasBasis_closed : HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α ∧ IsClosed V) id := by refine Filter.hasBasis_self.2 fun t h => ?_ rcases comp_comp_symm_mem_uniformity_sets h with ⟨w, w_in, w_symm, r⟩ refine ⟨closure w, mem_of_superset w_in subset_closure, isClosed_closure, ?_⟩ refine Subset.trans ?_ r rw [closure_eq_uniformity] apply iInter_subset_of_subset apply iInter_subset exact ⟨w_in, w_symm⟩ #align uniformity_has_basis_closed uniformity_hasBasis_closed theorem uniformity_eq_uniformity_closure : 𝓤 α = (𝓤 α).lift' closure := Eq.symm <| uniformity_hasBasis_closed.lift'_closure_eq_self fun _ => And.right #align uniformity_eq_uniformity_closure uniformity_eq_uniformity_closure theorem Filter.HasBasis.uniformity_closure {p : ι → Prop} {U : ι → Set (α × α)} (h : (𝓤 α).HasBasis p U) : (𝓤 α).HasBasis p fun i => closure (U i) := (@uniformity_eq_uniformity_closure α _).symm ▸ h.lift'_closure #align filter.has_basis.uniformity_closure Filter.HasBasis.uniformity_closure theorem uniformity_hasBasis_closure : HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α) closure := (𝓤 α).basis_sets.uniformity_closure #align uniformity_has_basis_closure uniformity_hasBasis_closure theorem closure_eq_inter_uniformity {t : Set (α × α)} : closure t = ⋂ d ∈ 𝓤 α, d ○ (t ○ d) := calc closure t = ⋂ (V) (_ : V ∈ 𝓤 α ∧ SymmetricRel V), V ○ t ○ V := closure_eq_uniformity t _ = ⋂ V ∈ 𝓤 α, V ○ t ○ V := Eq.symm <| UniformSpace.hasBasis_symmetric.biInter_mem fun V₁ V₂ hV => compRel_mono (compRel_mono hV Subset.rfl) hV _ = ⋂ V ∈ 𝓤 α, V ○ (t ○ V) := by simp only [compRel_assoc] #align closure_eq_inter_uniformity closure_eq_inter_uniformity theorem uniformity_eq_uniformity_interior : 𝓤 α = (𝓤 α).lift' interior := le_antisymm (le_iInf₂ fun d hd => by let ⟨s, hs, hs_comp⟩ := comp3_mem_uniformity hd let ⟨t, ht, hst, ht_comp⟩ := nhdset_of_mem_uniformity s hs have : s ⊆ interior d := calc s ⊆ t := hst _ ⊆ interior d := ht.subset_interior_iff.mpr fun x (hx : x ∈ t) => let ⟨x, y, h₁, h₂, h₃⟩ := ht_comp hx hs_comp ⟨x, h₁, y, h₂, h₃⟩ have : interior d ∈ 𝓤 α := by filter_upwards [hs] using this simp [this]) fun s hs => ((𝓤 α).lift' interior).sets_of_superset (mem_lift' hs) interior_subset #align uniformity_eq_uniformity_interior uniformity_eq_uniformity_interior theorem interior_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : interior s ∈ 𝓤 α := by rw [uniformity_eq_uniformity_interior]; exact mem_lift' hs #align interior_mem_uniformity interior_mem_uniformity theorem mem_uniformity_isClosed {s : Set (α × α)} (h : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, IsClosed t ∧ t ⊆ s := let ⟨t, ⟨ht_mem, htc⟩, hts⟩ := uniformity_hasBasis_closed.mem_iff.1 h ⟨t, ht_mem, htc, hts⟩ #align mem_uniformity_is_closed mem_uniformity_isClosed theorem isOpen_iff_open_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, IsOpen V ∧ ball x V ⊆ s := by rw [isOpen_iff_ball_subset] constructor <;> intro h x hx · obtain ⟨V, hV, hV'⟩ := h x hx exact ⟨interior V, interior_mem_uniformity hV, isOpen_interior, (ball_mono interior_subset x).trans hV'⟩ · obtain ⟨V, hV, -, hV'⟩ := h x hx exact ⟨V, hV, hV'⟩ #align is_open_iff_open_ball_subset isOpen_iff_open_ball_subset theorem Dense.biUnion_uniformity_ball {s : Set α} {U : Set (α × α)} (hs : Dense s) (hU : U ∈ 𝓤 α) : ⋃ x ∈ s, ball x U = univ := by refine iUnion₂_eq_univ_iff.2 fun y => ?_ rcases hs.inter_nhds_nonempty (mem_nhds_right y hU) with ⟨x, hxs, hxy : (x, y) ∈ U⟩ exact ⟨x, hxs, hxy⟩ #align dense.bUnion_uniformity_ball Dense.biUnion_uniformity_ball lemma DenseRange.iUnion_uniformity_ball {ι : Type*} {xs : ι → α} (xs_dense : DenseRange xs) {U : Set (α × α)} (hU : U ∈ uniformity α) : ⋃ i, UniformSpace.ball (xs i) U = univ := by rw [← biUnion_range (f := xs) (g := fun x ↦ UniformSpace.ball x U)] exact Dense.biUnion_uniformity_ball xs_dense hU theorem uniformity_hasBasis_open : HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α ∧ IsOpen V) id := hasBasis_self.2 fun s hs => ⟨interior s, interior_mem_uniformity hs, isOpen_interior, interior_subset⟩ #align uniformity_has_basis_open uniformity_hasBasis_open theorem Filter.HasBasis.mem_uniformity_iff {p : β → Prop} {s : β → Set (α × α)} (h : (𝓤 α).HasBasis p s) {t : Set (α × α)} : t ∈ 𝓤 α ↔ ∃ i, p i ∧ ∀ a b, (a, b) ∈ s i → (a, b) ∈ t := h.mem_iff.trans <| by simp only [Prod.forall, subset_def] #align filter.has_basis.mem_uniformity_iff Filter.HasBasis.mem_uniformity_iff
Mathlib/Topology/UniformSpace/Basic.lean
1,034
1,040
theorem uniformity_hasBasis_open_symmetric : HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α ∧ IsOpen V ∧ SymmetricRel V) id := by
simp only [← and_assoc] refine uniformity_hasBasis_open.restrict fun s hs => ⟨symmetrizeRel s, ?_⟩ exact ⟨⟨symmetrize_mem_uniformity hs.1, IsOpen.inter hs.2 (hs.2.preimage continuous_swap)⟩, symmetric_symmetrizeRel s, symmetrizeRel_subset_self s⟩
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩ #align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff -- Porting note: To avoid ambiguous notation, `~` became `~ʷ`. infixl:50 " ~ʷ " => Equiv theorem destruct_congr {s t : WSeq α} : s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct #align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr theorem destruct_congr_iff {s t : WSeq α} : s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct_iff #align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩ rw [← h] apply Computation.LiftRel.refl intro a cases' a with a · simp · cases a simp only [LiftRelO, and_true] apply H #align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl theorem LiftRelO.swap (R : α → β → Prop) (C) : swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by funext x y rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl #align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) : LiftRel (swap R) s2 s1 := by refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩ rw [← LiftRelO.swap, Computation.LiftRel.swap] apply liftRel_destruct h #align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) := funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩ #align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) := fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h #align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) := fun s t u h1 h2 => by refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩ rcases h with ⟨t, h1, h2⟩ have h1 := liftRel_destruct h1 have h2 := liftRel_destruct h2 refine Computation.liftRel_def.2 ⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2), fun {a c} ha hc => ?_⟩ rcases h1.left ha with ⟨b, hb, t1⟩ have t2 := Computation.rel_of_liftRel h2 hb hc cases' a with a <;> cases' c with c · trivial · cases b · cases t2 · cases t1 · cases a cases' b with b · cases t1 · cases b cases t2 · cases' a with a s cases' b with b · cases t1 cases' b with b t cases' c with c u cases' t1 with ab st cases' t2 with bc tu exact ⟨H ab bc, t, st, tu⟩ #align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R) | ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩ #align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv @[refl] theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s := LiftRel.refl (· = ·) Eq.refl #align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl @[symm] theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s := @(LiftRel.symm (· = ·) (@Eq.symm _)) #align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm @[trans] theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u := @(LiftRel.trans (· = ·) (@Eq.trans _)) #align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans theorem Equiv.equivalence : Equivalence (@Equiv α) := ⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩ #align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence open Computation @[simp] theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none := Computation.destruct_eq_pure rfl #align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil @[simp] theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) := Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap] #align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons @[simp] theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think := Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap] #align stream.wseq.destruct_think Stream'.WSeq.destruct_think @[simp] theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none := Seq.destruct_nil #align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil @[simp] theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons @[simp] theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think @[simp] theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head] #align stream.wseq.head_nil Stream'.WSeq.head_nil @[simp] theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head] #align stream.wseq.head_cons Stream'.WSeq.head_cons @[simp] theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head] #align stream.wseq.head_think Stream'.WSeq.head_think @[simp] theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl intro s' s h rw [← h] simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure] cases Seq.destruct s with | none => simp | some val => cases' val with o s' simp #align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure @[simp] theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) := Seq.destruct_eq_cons <| by simp [flatten, think] #align stream.wseq.flatten_think Stream'.WSeq.flatten_think @[simp] theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by refine Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_ (Or.inr ⟨c, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨c, rfl, rfl⟩ => by induction' c using Computation.recOn with a c' <;> simp · cases (destruct a).destruct <;> simp · exact Or.inr ⟨c', rfl, rfl⟩ #align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) := terminates_map_iff _ (destruct s) #align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff @[simp] theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail] #align stream.wseq.tail_nil Stream'.WSeq.tail_nil @[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail] #align stream.wseq.tail_cons Stream'.WSeq.tail_cons @[simp] theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail] #align stream.wseq.tail_think Stream'.WSeq.tail_think @[simp] theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop] #align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil @[simp] theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by induction n with | zero => simp [drop] | succ n n_ih => -- porting note (#10745): was `simp [*, drop]`. simp [drop, ← n_ih] #align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons @[simp] theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by induction n <;> simp [*, drop] #align stream.wseq.dropn_think Stream'.WSeq.dropn_think theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n | 0 => rfl | n + 1 => congr_arg tail (dropn_add s m n) #align stream.wseq.dropn_add Stream'.WSeq.dropn_add theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by rw [Nat.add_comm] symm apply dropn_add #align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n := congr_arg head (dropn_add _ _ _) #align stream.wseq.nth_add Stream'.WSeq.get?_add theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) := congr_arg head (dropn_tail _ _) #align stream.wseq.nth_tail Stream'.WSeq.get?_tail @[simp] theorem join_nil : join nil = (nil : WSeq α) := Seq.join_nil #align stream.wseq.join_nil Stream'.WSeq.join_nil @[simp] theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, Seq1.ret] #align stream.wseq.join_think Stream'.WSeq.join_think @[simp] theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, cons, append] #align stream.wseq.join_cons Stream'.WSeq.join_cons @[simp] theorem nil_append (s : WSeq α) : append nil s = s := Seq.nil_append _ #align stream.wseq.nil_append Stream'.WSeq.nil_append @[simp] theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) := Seq.cons_append _ _ _ #align stream.wseq.cons_append Stream'.WSeq.cons_append @[simp] theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) := Seq.cons_append _ _ _ #align stream.wseq.think_append Stream'.WSeq.think_append @[simp] theorem append_nil (s : WSeq α) : append s nil = s := Seq.append_nil _ #align stream.wseq.append_nil Stream'.WSeq.append_nil @[simp] theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) := Seq.append_assoc _ _ _ #align stream.wseq.append_assoc Stream'.WSeq.append_assoc @[simp] def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α)) | none => Computation.pure none | some (_, s) => destruct s #align stream.wseq.tail.aux Stream'.WSeq.tail.aux theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc] apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp #align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail @[simp] def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α)) | 0 => Computation.pure | n + 1 => fun a => tail.aux a >>= drop.aux n #align stream.wseq.drop.aux Stream'.WSeq.drop.aux theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none | 0 => rfl | n + 1 => show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by rw [ret_bind, drop.aux_none n] #align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n | s, 0 => (bind_pure' _).symm | s, n + 1 => by rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc] rfl #align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] : Terminates (head s) := (head_terminates_iff _).2 <| by rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩ simp? [tail] at h says simp only [tail, destruct_flatten] at h rcases exists_of_mem_bind h with ⟨s', h1, _⟩ unfold Functor.map at h1 exact let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1 Computation.terminates_of_mem h3 #align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) : ∃ a', some a' ∈ destruct s := by unfold tail Functor.map at h; simp only [destruct_flatten] at h rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td · have := mem_unique td (ret_mem _) contradiction · exact ⟨_, ht'⟩ #align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) : ∃ a', some a' ∈ head s := by unfold head at h rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h cases' o with o <;> [injection e; injection e with h']; clear h' cases' destruct_some_of_destruct_tail_some md with a am exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩ #align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) : ∃ a', some a' ∈ head s := by induction n generalizing a with | zero => exact ⟨_, h⟩ | succ n IH => let ⟨a', h'⟩ := head_some_of_head_tail_some h exact IH h' #align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) := ⟨fun n => by rw [get?_tail]; infer_instance⟩ #align stream.wseq.productive_tail Stream'.WSeq.productive_tail instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) := ⟨fun m => by rw [← get?_add]; infer_instance⟩ #align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn def toSeq (s : WSeq α) [Productive s] : Seq α := ⟨fun n => (get? s n).get, fun {n} h => by cases e : Computation.get (get? s (n + 1)) · assumption have := Computation.mem_of_get_eq _ e simp? [get?] at this h says simp only [get?] at this h cases' head_some_of_head_tail_some this with a' h' have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h) contradiction⟩ #align stream.wseq.to_seq Stream'.WSeq.toSeq theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) : Terminates (get? s n) → Terminates (get? s m) := by induction' h with m' _ IH exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)] #align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le theorem head_terminates_of_get?_terminates {s : WSeq α} {n} : Terminates (get? s n) → Terminates (head s) := get?_terminates_le (Nat.zero_le n) #align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) : Terminates (destruct s) := (head_terminates_iff _).1 <| head_terminates_of_get?_terminates T #align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s')) (h2 : ∀ s, C s → C (think s)) : C s := by apply Seq.mem_rec_on M intro o s' h; cases' o with b · apply h2 cases h · contradiction · assumption · apply h1 apply Or.imp_left _ h intro h injection h #align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on @[simp] theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by cases' s with f al change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f constructor <;> intro h · apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left intro injections · apply Stream'.mem_cons_of_mem _ h #align stream.wseq.mem_think Stream'.WSeq.mem_think theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} : some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by generalize e : destruct s = c; intro h revert s apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;> induction' s using WSeq.recOn with x s s <;> intro m <;> have := congr_arg Computation.destruct m <;> simp at this · cases' this with i1 i2 rw [i1, i2] cases' s' with f al dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons] have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp rw [h_a_eq_a'] refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩ · cases' o with e m · rw [e] apply Stream'.mem_cons · exact Stream'.mem_cons_of_mem _ m · simp [IH this] #align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem @[simp] theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s := eq_or_mem_iff_mem <| by simp [ret_mem] #align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s := (mem_cons_iff _ _).2 (Or.inr h) #align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s := (mem_cons_iff _ _).2 (Or.inl rfl) #align stream.wseq.mem_cons Stream'.WSeq.mem_cons theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get] induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;> simp <;> intro m e <;> injections · exact Or.inr m · exact Or.inr m · apply IH m rw [e] cases tail s rfl #align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s | 0, h => h | n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h) #align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by revert s; induction' n with n IH <;> intro s h · -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩ cases' o with o · injection h2 injection h2 with h' cases' o with a' s' exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm) · have := @IH (tail s) rw [get?_tail] at this exact mem_of_mem_tail (this h) #align stream.wseq.nth_mem Stream'.WSeq.get?_mem theorem exists_get?_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n, some a ∈ get? s n := by apply mem_rec_on h · intro a' s' h cases' h with h h · exists 0 simp only [get?, drop, head_cons] rw [h] apply ret_mem · cases' h with n h exists n + 1 -- porting note (#10745): was `simp [get?]`. simpa [get?] · intro s' h cases' h with n h exists n simp only [get?, dropn_think, head_think] apply think_mem h #align stream.wseq.exists_nth_of_mem Stream'.WSeq.exists_get?_of_mem theorem exists_dropn_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n s', some (a, s') ∈ destruct (drop s n) := let ⟨n, h⟩ := exists_get?_of_mem h ⟨n, by rcases (head_terminates_iff _).1 ⟨⟨_, h⟩⟩ with ⟨⟨o, om⟩⟩ have := Computation.mem_unique (Computation.mem_map _ om) h cases' o with o · injection this injection this with i cases' o with a' s' dsimp at i rw [i] at om exact ⟨_, om⟩⟩ #align stream.wseq.exists_dropn_of_mem Stream'.WSeq.exists_dropn_of_mem theorem liftRel_dropn_destruct {R : α → β → Prop} {s t} (H : LiftRel R s t) : ∀ n, Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct (drop s n)) (destruct (drop t n)) | 0 => liftRel_destruct H | n + 1 => by simp only [LiftRelO, drop, Nat.add_eq, Nat.add_zero, destruct_tail, tail.aux] apply liftRel_bind · apply liftRel_dropn_destruct H n exact fun {a b} o => match a, b, o with | none, none, _ => by -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] | some (a, s), some (b, t), ⟨_, h2⟩ => by simpa [tail.aux] using liftRel_destruct h2 #align stream.wseq.lift_rel_dropn_destruct Stream'.WSeq.liftRel_dropn_destruct theorem exists_of_liftRel_left {R : α → β → Prop} {s t} (H : LiftRel R s t) {a} (h : a ∈ s) : ∃ b, b ∈ t ∧ R a b := by let ⟨n, h⟩ := exists_get?_of_mem h -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h let ⟨some (_, s'), sd, rfl⟩ := Computation.exists_of_mem_map h let ⟨some (b, t'), td, ⟨ab, _⟩⟩ := (liftRel_dropn_destruct H n).left sd exact ⟨b, get?_mem (Computation.mem_map (Prod.fst.{v, v} <$> ·) td), ab⟩ #align stream.wseq.exists_of_lift_rel_left Stream'.WSeq.exists_of_liftRel_left theorem exists_of_liftRel_right {R : α → β → Prop} {s t} (H : LiftRel R s t) {b} (h : b ∈ t) : ∃ a, a ∈ s ∧ R a b := by rw [← LiftRel.swap] at H; exact exists_of_liftRel_left H h #align stream.wseq.exists_of_lift_rel_right Stream'.WSeq.exists_of_liftRel_right theorem head_terminates_of_mem {s : WSeq α} {a} (h : a ∈ s) : Terminates (head s) := let ⟨_, h⟩ := exists_get?_of_mem h head_terminates_of_get?_terminates ⟨⟨_, h⟩⟩ #align stream.wseq.head_terminates_of_mem Stream'.WSeq.head_terminates_of_mem theorem of_mem_append {s₁ s₂ : WSeq α} {a : α} : a ∈ append s₁ s₂ → a ∈ s₁ ∨ a ∈ s₂ := Seq.of_mem_append #align stream.wseq.of_mem_append Stream'.WSeq.of_mem_append theorem mem_append_left {s₁ s₂ : WSeq α} {a : α} : a ∈ s₁ → a ∈ append s₁ s₂ := Seq.mem_append_left #align stream.wseq.mem_append_left Stream'.WSeq.mem_append_left theorem exists_of_mem_map {f} {b : β} : ∀ {s : WSeq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b | ⟨g, al⟩, h => by let ⟨o, om, oe⟩ := Seq.exists_of_mem_map h cases' o with a · injection oe injection oe with h' exact ⟨a, om, h'⟩ #align stream.wseq.exists_of_mem_map Stream'.WSeq.exists_of_mem_map @[simp]
Mathlib/Data/Seq/WSeq.lean
1,091
1,094
theorem liftRel_nil (R : α → β → Prop) : LiftRel R nil nil := by
rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right]
import Mathlib.Topology.Category.TopCat.EpiMono import Mathlib.Topology.Category.TopCat.Limits.Basic import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.ConcreteCategory import Mathlib.Data.Set.Subsingleton import Mathlib.Tactic.CategoryTheory.Elementwise #align_import topology.category.Top.limits.products from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" -- Porting note: every ML3 decl has an uppercase letter set_option linter.uppercaseLean3 false open TopologicalSpace open CategoryTheory open CategoryTheory.Limits universe v u w noncomputable section namespace TopCat variable {J : Type v} [SmallCategory J] abbrev piπ {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) : TopCat.of (∀ i, α i) ⟶ α i := ⟨fun f => f i, continuous_apply i⟩ #align Top.pi_π TopCat.piπ @[simps! pt π_app] def piFan {ι : Type v} (α : ι → TopCat.{max v u}) : Fan α := Fan.mk (TopCat.of (∀ i, α i)) (piπ.{v,u} α) #align Top.pi_fan TopCat.piFan def piFanIsLimit {ι : Type v} (α : ι → TopCat.{max v u}) : IsLimit (piFan α) where lift S := { toFun := fun s i => S.π.app ⟨i⟩ s continuous_toFun := continuous_pi (fun i => (S.π.app ⟨i⟩).2) } uniq := by intro S m h apply ContinuousMap.ext; intro x funext i set_option tactic.skipAssignedInstances false in dsimp rw [ContinuousMap.coe_mk, ← h ⟨i⟩] rfl fac s j := rfl #align Top.pi_fan_is_limit TopCat.piFanIsLimit def piIsoPi {ι : Type v} (α : ι → TopCat.{max v u}) : ∏ᶜ α ≅ TopCat.of (∀ i, α i) := (limit.isLimit _).conePointUniqueUpToIso (piFanIsLimit.{v, u} α) -- Specifying the universes in `piFanIsLimit` wasn't necessary when we had `TopCatMax`  #align Top.pi_iso_pi TopCat.piIsoPi @[reassoc (attr := simp)]
Mathlib/Topology/Category/TopCat/Limits/Products.lean
72
73
theorem piIsoPi_inv_π {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) : (piIsoPi α).inv ≫ Pi.π α i = piπ α i := by
simp [piIsoPi]
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩ #align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff -- Porting note: To avoid ambiguous notation, `~` became `~ʷ`. infixl:50 " ~ʷ " => Equiv theorem destruct_congr {s t : WSeq α} : s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct #align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr theorem destruct_congr_iff {s t : WSeq α} : s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct_iff #align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩ rw [← h] apply Computation.LiftRel.refl intro a cases' a with a · simp · cases a simp only [LiftRelO, and_true] apply H #align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl theorem LiftRelO.swap (R : α → β → Prop) (C) : swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by funext x y rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl #align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) : LiftRel (swap R) s2 s1 := by refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩ rw [← LiftRelO.swap, Computation.LiftRel.swap] apply liftRel_destruct h #align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) := funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩ #align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) := fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h #align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) := fun s t u h1 h2 => by refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩ rcases h with ⟨t, h1, h2⟩ have h1 := liftRel_destruct h1 have h2 := liftRel_destruct h2 refine Computation.liftRel_def.2 ⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2), fun {a c} ha hc => ?_⟩ rcases h1.left ha with ⟨b, hb, t1⟩ have t2 := Computation.rel_of_liftRel h2 hb hc cases' a with a <;> cases' c with c · trivial · cases b · cases t2 · cases t1 · cases a cases' b with b · cases t1 · cases b cases t2 · cases' a with a s cases' b with b · cases t1 cases' b with b t cases' c with c u cases' t1 with ab st cases' t2 with bc tu exact ⟨H ab bc, t, st, tu⟩ #align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R) | ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩ #align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv @[refl] theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s := LiftRel.refl (· = ·) Eq.refl #align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl @[symm] theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s := @(LiftRel.symm (· = ·) (@Eq.symm _)) #align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm @[trans] theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u := @(LiftRel.trans (· = ·) (@Eq.trans _)) #align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans theorem Equiv.equivalence : Equivalence (@Equiv α) := ⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩ #align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence open Computation @[simp] theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none := Computation.destruct_eq_pure rfl #align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil @[simp] theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) := Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap] #align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons @[simp] theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think := Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap] #align stream.wseq.destruct_think Stream'.WSeq.destruct_think @[simp] theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none := Seq.destruct_nil #align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil @[simp] theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons @[simp] theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think @[simp] theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head] #align stream.wseq.head_nil Stream'.WSeq.head_nil @[simp] theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head] #align stream.wseq.head_cons Stream'.WSeq.head_cons @[simp] theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head] #align stream.wseq.head_think Stream'.WSeq.head_think @[simp] theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl intro s' s h rw [← h] simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure] cases Seq.destruct s with | none => simp | some val => cases' val with o s' simp #align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure @[simp] theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) := Seq.destruct_eq_cons <| by simp [flatten, think] #align stream.wseq.flatten_think Stream'.WSeq.flatten_think @[simp] theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by refine Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_ (Or.inr ⟨c, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨c, rfl, rfl⟩ => by induction' c using Computation.recOn with a c' <;> simp · cases (destruct a).destruct <;> simp · exact Or.inr ⟨c', rfl, rfl⟩ #align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) := terminates_map_iff _ (destruct s) #align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff @[simp] theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail] #align stream.wseq.tail_nil Stream'.WSeq.tail_nil @[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail] #align stream.wseq.tail_cons Stream'.WSeq.tail_cons @[simp] theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail] #align stream.wseq.tail_think Stream'.WSeq.tail_think @[simp] theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop] #align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil @[simp] theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by induction n with | zero => simp [drop] | succ n n_ih => -- porting note (#10745): was `simp [*, drop]`. simp [drop, ← n_ih] #align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons @[simp] theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by induction n <;> simp [*, drop] #align stream.wseq.dropn_think Stream'.WSeq.dropn_think theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n | 0 => rfl | n + 1 => congr_arg tail (dropn_add s m n) #align stream.wseq.dropn_add Stream'.WSeq.dropn_add theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by rw [Nat.add_comm] symm apply dropn_add #align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n := congr_arg head (dropn_add _ _ _) #align stream.wseq.nth_add Stream'.WSeq.get?_add theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) := congr_arg head (dropn_tail _ _) #align stream.wseq.nth_tail Stream'.WSeq.get?_tail @[simp] theorem join_nil : join nil = (nil : WSeq α) := Seq.join_nil #align stream.wseq.join_nil Stream'.WSeq.join_nil @[simp] theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, Seq1.ret] #align stream.wseq.join_think Stream'.WSeq.join_think @[simp] theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, cons, append] #align stream.wseq.join_cons Stream'.WSeq.join_cons @[simp] theorem nil_append (s : WSeq α) : append nil s = s := Seq.nil_append _ #align stream.wseq.nil_append Stream'.WSeq.nil_append @[simp] theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) := Seq.cons_append _ _ _ #align stream.wseq.cons_append Stream'.WSeq.cons_append @[simp] theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) := Seq.cons_append _ _ _ #align stream.wseq.think_append Stream'.WSeq.think_append @[simp] theorem append_nil (s : WSeq α) : append s nil = s := Seq.append_nil _ #align stream.wseq.append_nil Stream'.WSeq.append_nil @[simp] theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) := Seq.append_assoc _ _ _ #align stream.wseq.append_assoc Stream'.WSeq.append_assoc @[simp] def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α)) | none => Computation.pure none | some (_, s) => destruct s #align stream.wseq.tail.aux Stream'.WSeq.tail.aux theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc] apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp #align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail @[simp] def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α)) | 0 => Computation.pure | n + 1 => fun a => tail.aux a >>= drop.aux n #align stream.wseq.drop.aux Stream'.WSeq.drop.aux theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none | 0 => rfl | n + 1 => show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by rw [ret_bind, drop.aux_none n] #align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n | s, 0 => (bind_pure' _).symm | s, n + 1 => by rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc] rfl #align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] : Terminates (head s) := (head_terminates_iff _).2 <| by rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩ simp? [tail] at h says simp only [tail, destruct_flatten] at h rcases exists_of_mem_bind h with ⟨s', h1, _⟩ unfold Functor.map at h1 exact let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1 Computation.terminates_of_mem h3 #align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) : ∃ a', some a' ∈ destruct s := by unfold tail Functor.map at h; simp only [destruct_flatten] at h rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td · have := mem_unique td (ret_mem _) contradiction · exact ⟨_, ht'⟩ #align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) : ∃ a', some a' ∈ head s := by unfold head at h rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h cases' o with o <;> [injection e; injection e with h']; clear h' cases' destruct_some_of_destruct_tail_some md with a am exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩ #align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) : ∃ a', some a' ∈ head s := by induction n generalizing a with | zero => exact ⟨_, h⟩ | succ n IH => let ⟨a', h'⟩ := head_some_of_head_tail_some h exact IH h' #align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) := ⟨fun n => by rw [get?_tail]; infer_instance⟩ #align stream.wseq.productive_tail Stream'.WSeq.productive_tail instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) := ⟨fun m => by rw [← get?_add]; infer_instance⟩ #align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn def toSeq (s : WSeq α) [Productive s] : Seq α := ⟨fun n => (get? s n).get, fun {n} h => by cases e : Computation.get (get? s (n + 1)) · assumption have := Computation.mem_of_get_eq _ e simp? [get?] at this h says simp only [get?] at this h cases' head_some_of_head_tail_some this with a' h' have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h) contradiction⟩ #align stream.wseq.to_seq Stream'.WSeq.toSeq theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) : Terminates (get? s n) → Terminates (get? s m) := by induction' h with m' _ IH exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)] #align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le theorem head_terminates_of_get?_terminates {s : WSeq α} {n} : Terminates (get? s n) → Terminates (head s) := get?_terminates_le (Nat.zero_le n) #align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) : Terminates (destruct s) := (head_terminates_iff _).1 <| head_terminates_of_get?_terminates T #align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s')) (h2 : ∀ s, C s → C (think s)) : C s := by apply Seq.mem_rec_on M intro o s' h; cases' o with b · apply h2 cases h · contradiction · assumption · apply h1 apply Or.imp_left _ h intro h injection h #align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on @[simp] theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by cases' s with f al change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f constructor <;> intro h · apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left intro injections · apply Stream'.mem_cons_of_mem _ h #align stream.wseq.mem_think Stream'.WSeq.mem_think theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} : some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by generalize e : destruct s = c; intro h revert s apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;> induction' s using WSeq.recOn with x s s <;> intro m <;> have := congr_arg Computation.destruct m <;> simp at this · cases' this with i1 i2 rw [i1, i2] cases' s' with f al dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons] have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp rw [h_a_eq_a'] refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩ · cases' o with e m · rw [e] apply Stream'.mem_cons · exact Stream'.mem_cons_of_mem _ m · simp [IH this] #align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem @[simp] theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s := eq_or_mem_iff_mem <| by simp [ret_mem] #align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s := (mem_cons_iff _ _).2 (Or.inr h) #align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s := (mem_cons_iff _ _).2 (Or.inl rfl) #align stream.wseq.mem_cons Stream'.WSeq.mem_cons theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get] induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;> simp <;> intro m e <;> injections · exact Or.inr m · exact Or.inr m · apply IH m rw [e] cases tail s rfl #align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s | 0, h => h | n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h) #align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by revert s; induction' n with n IH <;> intro s h · -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩ cases' o with o · injection h2 injection h2 with h' cases' o with a' s' exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm) · have := @IH (tail s) rw [get?_tail] at this exact mem_of_mem_tail (this h) #align stream.wseq.nth_mem Stream'.WSeq.get?_mem theorem exists_get?_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n, some a ∈ get? s n := by apply mem_rec_on h · intro a' s' h cases' h with h h · exists 0 simp only [get?, drop, head_cons] rw [h] apply ret_mem · cases' h with n h exists n + 1 -- porting note (#10745): was `simp [get?]`. simpa [get?] · intro s' h cases' h with n h exists n simp only [get?, dropn_think, head_think] apply think_mem h #align stream.wseq.exists_nth_of_mem Stream'.WSeq.exists_get?_of_mem theorem exists_dropn_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n s', some (a, s') ∈ destruct (drop s n) := let ⟨n, h⟩ := exists_get?_of_mem h ⟨n, by rcases (head_terminates_iff _).1 ⟨⟨_, h⟩⟩ with ⟨⟨o, om⟩⟩ have := Computation.mem_unique (Computation.mem_map _ om) h cases' o with o · injection this injection this with i cases' o with a' s' dsimp at i rw [i] at om exact ⟨_, om⟩⟩ #align stream.wseq.exists_dropn_of_mem Stream'.WSeq.exists_dropn_of_mem theorem liftRel_dropn_destruct {R : α → β → Prop} {s t} (H : LiftRel R s t) : ∀ n, Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct (drop s n)) (destruct (drop t n)) | 0 => liftRel_destruct H | n + 1 => by simp only [LiftRelO, drop, Nat.add_eq, Nat.add_zero, destruct_tail, tail.aux] apply liftRel_bind · apply liftRel_dropn_destruct H n exact fun {a b} o => match a, b, o with | none, none, _ => by -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] | some (a, s), some (b, t), ⟨_, h2⟩ => by simpa [tail.aux] using liftRel_destruct h2 #align stream.wseq.lift_rel_dropn_destruct Stream'.WSeq.liftRel_dropn_destruct theorem exists_of_liftRel_left {R : α → β → Prop} {s t} (H : LiftRel R s t) {a} (h : a ∈ s) : ∃ b, b ∈ t ∧ R a b := by let ⟨n, h⟩ := exists_get?_of_mem h -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h let ⟨some (_, s'), sd, rfl⟩ := Computation.exists_of_mem_map h let ⟨some (b, t'), td, ⟨ab, _⟩⟩ := (liftRel_dropn_destruct H n).left sd exact ⟨b, get?_mem (Computation.mem_map (Prod.fst.{v, v} <$> ·) td), ab⟩ #align stream.wseq.exists_of_lift_rel_left Stream'.WSeq.exists_of_liftRel_left theorem exists_of_liftRel_right {R : α → β → Prop} {s t} (H : LiftRel R s t) {b} (h : b ∈ t) : ∃ a, a ∈ s ∧ R a b := by rw [← LiftRel.swap] at H; exact exists_of_liftRel_left H h #align stream.wseq.exists_of_lift_rel_right Stream'.WSeq.exists_of_liftRel_right theorem head_terminates_of_mem {s : WSeq α} {a} (h : a ∈ s) : Terminates (head s) := let ⟨_, h⟩ := exists_get?_of_mem h head_terminates_of_get?_terminates ⟨⟨_, h⟩⟩ #align stream.wseq.head_terminates_of_mem Stream'.WSeq.head_terminates_of_mem theorem of_mem_append {s₁ s₂ : WSeq α} {a : α} : a ∈ append s₁ s₂ → a ∈ s₁ ∨ a ∈ s₂ := Seq.of_mem_append #align stream.wseq.of_mem_append Stream'.WSeq.of_mem_append theorem mem_append_left {s₁ s₂ : WSeq α} {a : α} : a ∈ s₁ → a ∈ append s₁ s₂ := Seq.mem_append_left #align stream.wseq.mem_append_left Stream'.WSeq.mem_append_left theorem exists_of_mem_map {f} {b : β} : ∀ {s : WSeq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b | ⟨g, al⟩, h => by let ⟨o, om, oe⟩ := Seq.exists_of_mem_map h cases' o with a · injection oe injection oe with h' exact ⟨a, om, h'⟩ #align stream.wseq.exists_of_mem_map Stream'.WSeq.exists_of_mem_map @[simp] theorem liftRel_nil (R : α → β → Prop) : LiftRel R nil nil := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_nil Stream'.WSeq.liftRel_nil @[simp] theorem liftRel_cons (R : α → β → Prop) (a b s t) : LiftRel R (cons a s) (cons b t) ↔ R a b ∧ LiftRel R s t := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_cons Stream'.WSeq.liftRel_cons @[simp] theorem liftRel_think_left (R : α → β → Prop) (s t) : LiftRel R (think s) t ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_left Stream'.WSeq.liftRel_think_left @[simp] theorem liftRel_think_right (R : α → β → Prop) (s t) : LiftRel R s (think t) ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_right Stream'.WSeq.liftRel_think_right theorem cons_congr {s t : WSeq α} (a : α) (h : s ~ʷ t) : cons a s ~ʷ cons a t := by unfold Equiv; simpa using h #align stream.wseq.cons_congr Stream'.WSeq.cons_congr theorem think_equiv (s : WSeq α) : think s ~ʷ s := by unfold Equiv; simpa using Equiv.refl _ #align stream.wseq.think_equiv Stream'.WSeq.think_equiv
Mathlib/Data/Seq/WSeq.lean
1,122
1,123
theorem think_congr {s t : WSeq α} (h : s ~ʷ t) : think s ~ʷ think t := by
unfold Equiv; simpa using h
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Defs.Filter #align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" noncomputable section open Set Filter universe u v w x def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T) (sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T) (union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where IsOpen X := Xᶜ ∈ T isOpen_univ := by simp [empty_mem] isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht isOpen_sUnion s hs := by simp only [Set.compl_sUnion] exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy #align topological_space.of_closed TopologicalSpace.ofClosed section TopologicalSpace variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop} open Topology lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl #align is_open_mk isOpen_mk @[ext] protected theorem TopologicalSpace.ext : ∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align topological_space_eq TopologicalSpace.ext section variable [TopologicalSpace X] end protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} : t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s := ⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ #align topological_space_eq_iff TopologicalSpace.ext_iff theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s := rfl #align is_open_fold isOpen_fold variable [TopologicalSpace X] theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) := isOpen_sUnion (forall_mem_range.2 h) #align is_open_Union isOpen_iUnion theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋃ i ∈ s, f i) := isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi #align is_open_bUnion isOpen_biUnion theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩) #align is_open.union IsOpen.union lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) : IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩ rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter] exact isOpen_iUnion fun i ↦ h i @[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim #align is_open_empty isOpen_empty theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) : (∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) := Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by simp only [sInter_insert, forall_mem_insert] at h ⊢ exact h.1.inter (ih h.2) #align is_open_sInter Set.Finite.isOpen_sInter theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h) #align is_open_bInter Set.Finite.isOpen_biInter theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) : IsOpen (⋂ i, s i) := (finite_range _).isOpen_sInter (forall_mem_range.2 h) #align is_open_Inter isOpen_iInter_of_finite theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := s.finite_toSet.isOpen_biInter h #align is_open_bInter_finset isOpen_biInter_finset @[simp] -- Porting note: added `simp` theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*] #align is_open_const isOpen_const theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } := IsOpen.inter #align is_open.and IsOpen.and @[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s := ⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩ #align is_open_compl_iff isOpen_compl_iff theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} : t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by rw [TopologicalSpace.ext_iff, compl_surjective.forall] simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂] alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed -- Porting note (#10756): new lemma theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩ @[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const #align is_closed_empty isClosed_empty @[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const #align is_closed_univ isClosed_univ theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter #align is_closed.union IsClosed.union theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion #align is_closed_sInter isClosed_sInter theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) := isClosed_sInter <| forall_mem_range.2 h #align is_closed_Inter isClosed_iInter theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋂ i ∈ s, f i) := isClosed_iInter fun i => isClosed_iInter <| h i #align is_closed_bInter isClosed_biInter @[simp] theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by rw [← isOpen_compl_iff, compl_compl] #align is_closed_compl_iff isClosed_compl_iff alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff #align is_open.is_closed_compl IsOpen.isClosed_compl theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) := IsOpen.inter h₁ h₂.isOpen_compl #align is_open.sdiff IsOpen.sdiff theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by rw [← isOpen_compl_iff] at * rw [compl_inter] exact IsOpen.union h₁ h₂ #align is_closed.inter IsClosed.inter theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) := IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂) #align is_closed.sdiff IsClosed.sdiff theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact hs.isOpen_biInter h #align is_closed_bUnion Set.Finite.isClosed_biUnion lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := s.finite_toSet.isClosed_biUnion h theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) : IsClosed (⋃ i, s i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact isOpen_iInter_of_finite h #align is_closed_Union isClosed_iUnion_of_finite theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) : IsClosed { x | p x → q x } := by simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq #align is_closed_imp isClosed_imp theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } := isOpen_compl_iff.mpr #align is_closed.not IsClosed.not theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm] #align mem_interior mem_interiorₓ @[simp] theorem isOpen_interior : IsOpen (interior s) := isOpen_sUnion fun _ => And.left #align is_open_interior isOpen_interior theorem interior_subset : interior s ⊆ s := sUnion_subset fun _ => And.right #align interior_subset interior_subset theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s := subset_sUnion_of_mem ⟨h₂, h₁⟩ #align interior_maximal interior_maximal theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s := interior_subset.antisymm (interior_maximal (Subset.refl s) h) #align is_open.interior_eq IsOpen.interior_eq theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s := ⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩ #align interior_eq_iff_is_open interior_eq_iff_isOpen theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and] #align subset_interior_iff_is_open subset_interior_iff_isOpen theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t := ⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩ #align is_open.subset_interior_iff IsOpen.subset_interior_iff theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := ⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ => htU.trans (interior_maximal hUs hU)⟩ #align subset_interior_iff subset_interior_iff lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by simp [interior] @[mono, gcongr] theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t := interior_maximal (Subset.trans interior_subset h) isOpen_interior #align interior_mono interior_mono @[simp] theorem interior_empty : interior (∅ : Set X) = ∅ := isOpen_empty.interior_eq #align interior_empty interior_empty @[simp] theorem interior_univ : interior (univ : Set X) = univ := isOpen_univ.interior_eq #align interior_univ interior_univ @[simp] theorem interior_eq_univ : interior s = univ ↔ s = univ := ⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩ #align interior_eq_univ interior_eq_univ @[simp] theorem interior_interior : interior (interior s) = interior s := isOpen_interior.interior_eq #align interior_interior interior_interior @[simp] theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t := (Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <| interior_maximal (inter_subset_inter interior_subset interior_subset) <| isOpen_interior.inter isOpen_interior #align interior_inter interior_inter theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := hs.induction_on (by simp) <| by intros; simp [*] theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) : interior (⋂₀ S) = ⋂ s ∈ S, interior s := by rw [sInter_eq_biInter, hS.interior_biInter] @[simp] theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := s.finite_toSet.interior_biInter f #align finset.interior_Inter Finset.interior_iInter @[simp] theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) : interior (⋂ i, f i) = ⋂ i, interior (f i) := by rw [← sInter_range, (finite_range f).interior_sInter, biInter_range] #align interior_Inter interior_iInter_of_finite theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s := have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ => by_contradiction fun hx₂ : x ∉ s => have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂ have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff] have : u \ s ⊆ ∅ := by rwa [h₂] at this this ⟨hx₁, hx₂⟩ Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left) #align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by rw [← subset_interior_iff_isOpen] simp only [subset_def, mem_interior] #align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) := subset_iInter fun _ => interior_mono <| iInter_subset _ _ #align interior_Inter_subset interior_iInter_subset theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) : interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) := (interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _ #align interior_Inter₂_subset interior_iInter₂_subset theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s := calc interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter] _ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _ #align interior_sInter_subset interior_sInter_subset theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) := h.lift' fun _ _ ↦ interior_mono theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦ mem_of_superset (mem_lift' hs) interior_subset theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l := le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi @[simp] theorem isClosed_closure : IsClosed (closure s) := isClosed_sInter fun _ => And.left #align is_closed_closure isClosed_closure theorem subset_closure : s ⊆ closure s := subset_sInter fun _ => And.right #align subset_closure subset_closure theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align not_mem_of_not_mem_closure not_mem_of_not_mem_closure theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t := sInter_subset_of_mem ⟨h₂, h₁⟩ #align closure_minimal closure_minimal theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) : Disjoint (closure s) t := disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl #align disjoint.closure_left Disjoint.closure_left theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) : Disjoint s (closure t) := (hd.symm.closure_left hs).symm #align disjoint.closure_right Disjoint.closure_right theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s := Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure #align is_closed.closure_eq IsClosed.closure_eq theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s := closure_minimal (Subset.refl _) hs #align is_closed.closure_subset IsClosed.closure_subset theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t := ⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩ #align is_closed.closure_subset_iff IsClosed.closure_subset_iff theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) : x ∈ s ↔ closure ({x} : Set X) ⊆ s := (hs.closure_subset_iff.trans Set.singleton_subset_iff).symm #align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset @[mono, gcongr] theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t := closure_minimal (Subset.trans h subset_closure) isClosed_closure #align closure_mono closure_mono theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ => closure_mono #align monotone_closure monotone_closure theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure] #align diff_subset_closure_iff diff_subset_closure_iff theorem closure_inter_subset_inter_closure (s t : Set X) : closure (s ∩ t) ⊆ closure s ∩ closure t := (monotone_closure X).map_inf_le s t #align closure_inter_subset_inter_closure closure_inter_subset_inter_closure theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by rw [subset_closure.antisymm h]; exact isClosed_closure #align is_closed_of_closure_subset isClosed_of_closure_subset theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s := ⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩ #align closure_eq_iff_is_closed closure_eq_iff_isClosed theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s := ⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩ #align closure_subset_iff_is_closed closure_subset_iff_isClosed @[simp] theorem closure_empty : closure (∅ : Set X) = ∅ := isClosed_empty.closure_eq #align closure_empty closure_empty @[simp] theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ := ⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩ #align closure_empty_iff closure_empty_iff @[simp] theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff] #align closure_nonempty_iff closure_nonempty_iff alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff #align set.nonempty.of_closure Set.Nonempty.of_closure #align set.nonempty.closure Set.Nonempty.closure @[simp] theorem closure_univ : closure (univ : Set X) = univ := isClosed_univ.closure_eq #align closure_univ closure_univ @[simp] theorem closure_closure : closure (closure s) = closure s := isClosed_closure.closure_eq #align closure_closure closure_closure theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by rw [interior, closure, compl_sUnion, compl_image_set_of] simp only [compl_subset_compl, isOpen_compl_iff] #align closure_eq_compl_interior_compl closure_eq_compl_interior_compl @[simp] theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by simp [closure_eq_compl_interior_compl, compl_inter] #align closure_union closure_union theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by simp [closure_eq_compl_interior_compl, hs.interior_biInter] theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) : closure (⋃₀ S) = ⋃ s ∈ S, closure s := by rw [sUnion_eq_biUnion, hS.closure_biUnion] @[simp] theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := s.finite_toSet.closure_biUnion f #align finset.closure_bUnion Finset.closure_biUnion @[simp] theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) : closure (⋃ i, f i) = ⋃ i, closure (f i) := by rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range] #align closure_Union closure_iUnion_of_finite theorem interior_subset_closure : interior s ⊆ closure s := Subset.trans interior_subset subset_closure #align interior_subset_closure interior_subset_closure @[simp] theorem interior_compl : interior sᶜ = (closure s)ᶜ := by simp [closure_eq_compl_interior_compl] #align interior_compl interior_compl @[simp] theorem closure_compl : closure sᶜ = (interior s)ᶜ := by simp [closure_eq_compl_interior_compl] #align closure_compl closure_compl theorem mem_closure_iff : x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty := ⟨fun h o oo ao => by_contradiction fun os => have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩ closure_minimal this (isClosed_compl_iff.2 oo) h ao, fun H _ ⟨h₁, h₂⟩ => by_contradiction fun nc => let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc hc (h₂ hs)⟩ #align mem_closure_iff mem_closure_iff theorem closure_inter_open_nonempty_iff (h : IsOpen t) : (closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty := ⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h => h.mono <| inf_le_inf_right t subset_closure⟩ #align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure := le_lift'.2 fun _ h => mem_of_superset h subset_closure #align filter.le_lift'_closure Filter.le_lift'_closure theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) := h.lift' (monotone_closure X) #align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l := le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi)) l.le_lift'_closure #align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self @[simp] theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ := ⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h => h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩ #align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot theorem dense_iff_closure_eq : Dense s ↔ closure s = univ := eq_univ_iff_forall.symm #align dense_iff_closure_eq dense_iff_closure_eq alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq #align dense.closure_eq Dense.closure_eq theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by rw [dense_iff_closure_eq, closure_compl, compl_univ_iff] #align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ := interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl] #align dense.interior_compl Dense.interior_compl @[simp] theorem dense_closure : Dense (closure s) ↔ Dense s := by rw [Dense, Dense, closure_closure] #align dense_closure dense_closure protected alias ⟨_, Dense.closure⟩ := dense_closure alias ⟨Dense.of_closure, _⟩ := dense_closure #align dense.of_closure Dense.of_closure #align dense.closure Dense.closure @[simp] theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial #align dense_univ dense_univ theorem dense_iff_inter_open : Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by constructor <;> intro h · rintro U U_op ⟨x, x_in⟩ exact mem_closure_iff.1 (h _) U U_op x_in · intro x rw [mem_closure_iff] intro U U_op x_in exact h U U_op ⟨_, x_in⟩ #align dense_iff_inter_open dense_iff_inter_open alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open #align dense.inter_open_nonempty Dense.inter_open_nonempty theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U) (hne : U.Nonempty) : ∃ x ∈ s, x ∈ U := let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne ⟨x, hx.2, hx.1⟩ #align dense.exists_mem_open Dense.exists_mem_open theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X := ⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ => let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩ ⟨y, hy.2⟩⟩ #align dense.nonempty_iff Dense.nonempty_iff theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty := hs.nonempty_iff.2 h #align dense.nonempty Dense.nonempty @[mono] theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x => closure_mono h (hd x) #align dense.mono Dense.mono theorem dense_compl_singleton_iff_not_open : Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by constructor · intro hd ho exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) · refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_ obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩ exact ho hU #align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open @[simp] theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s := rfl #align closure_diff_interior closure_diff_interior lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq, ← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter] @[simp] theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure] #align closure_diff_frontier closure_diff_frontier @[simp] theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure, inter_eq_self_of_subset_right interior_subset, empty_union] #align self_diff_frontier self_diff_frontier theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by rw [closure_compl, frontier, diff_eq] #align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure theorem frontier_subset_closure : frontier s ⊆ closure s := diff_subset #align frontier_subset_closure frontier_subset_closure theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s := frontier_subset_closure.trans hs.closure_eq.subset #align is_closed.frontier_subset IsClosed.frontier_subset theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s := diff_subset_diff closure_closure.subset <| interior_mono subset_closure #align frontier_closure_subset frontier_closure_subset theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s := diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset #align frontier_interior_subset frontier_interior_subset @[simp] theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm] #align frontier_compl frontier_compl @[simp] theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier] #align frontier_univ frontier_univ @[simp] theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier] #align frontier_empty frontier_empty theorem frontier_inter_subset (s t : Set X) : frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union] refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_ simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc, inter_comm (closure t)] #align frontier_inter_subset frontier_inter_subset theorem frontier_union_subset (s t : Set X) : frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ #align frontier_union_subset frontier_union_subset theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by rw [frontier, hs.closure_eq] #align is_closed.frontier_eq IsClosed.frontier_eq theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by rw [frontier, hs.interior_eq] #align is_open.frontier_eq IsOpen.frontier_eq theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by rw [hs.frontier_eq, inter_diff_self] #align is_open.inter_frontier_eq IsOpen.inter_frontier_eq theorem isClosed_frontier : IsClosed (frontier s) := by rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure #align is_closed_frontier isClosed_frontier theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by have A : frontier s = s \ interior s := h.frontier_eq have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset have C : interior (frontier s) ⊆ frontier s := interior_subset have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) := subset_inter B (by simpa [A] using C) rwa [inter_diff_self, subset_empty_iff] at this #align interior_frontier interior_frontier theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s := (union_diff_cancel interior_subset_closure).symm #align closure_eq_interior_union_frontier closure_eq_interior_union_frontier theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s := (union_diff_cancel' interior_subset subset_closure).symm #align closure_eq_self_union_frontier closure_eq_self_union_frontier theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t := subset_compl_iff_disjoint_right.1 <| frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht #align disjoint.frontier_left Disjoint.frontier_left theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) := (hd.symm.frontier_left hs).symm #align disjoint.frontier_right Disjoint.frontier_right theorem frontier_eq_inter_compl_interior : frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior] #align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior theorem compl_frontier_eq_union_interior : (frontier s)ᶜ = interior s ∪ interior sᶜ := by rw [frontier_eq_inter_compl_interior] simp only [compl_inter, compl_compl] #align compl_frontier_eq_union_interior compl_frontier_eq_union_interior theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and] #align nhds_def' nhds_def' theorem nhds_basis_opens (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by rw [nhds_def] exact hasBasis_biInf_principal (fun s ⟨has, hs⟩ t ⟨hat, ht⟩ => ⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩) ⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩ #align nhds_basis_opens nhds_basis_opens theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl := ⟨fun t => (nhds_basis_opens x).mem_iff.trans <| compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩ #align nhds_basis_closeds nhds_basis_closeds @[simp] theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x := (nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) := lift'_nhds_interior x ▸ h.lift'_interior theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def] #align le_nhds_iff le_nhds_iff theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf #align nhds_le_of_le nhds_le_of_le theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := (nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ => ⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩ #align mem_nhds_iff mem_nhds_iffₓ theorem eventually_nhds_iff {p : X → Prop} : (∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t := mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq] #align eventually_nhds_iff eventually_nhds_iff theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x := mem_interior.trans mem_nhds_iff.symm #align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds theorem map_nhds {f : X → α} : map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) := ((nhds_basis_opens x).map f).eq_biInf #align map_nhds map_nhds theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H => let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs #align mem_of_mem_nhds mem_of_mem_nhds theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x := mem_of_mem_nhds h #align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x := mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩ #align is_open.mem_nhds IsOpen.mem_nhds protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s := ⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩ #align is_open.mem_nhds_iff IsOpen.mem_nhds_iff theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x := hs.isOpen_compl.mem_nhds (mem_compl hx) #align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) : ∀ᶠ x in 𝓝 x, x ∈ s := IsOpen.mem_nhds hs hx #align is_open.eventually_mem IsOpen.eventually_mem theorem nhds_basis_opens' (x : X) : (𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by convert nhds_basis_opens x using 2 exact and_congr_left_iff.2 IsOpen.mem_nhds_iff #align nhds_basis_opens' nhds_basis_opens' theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := ⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩ #align exists_open_set_nhds exists_open_set_nhds theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := exists_open_set_nhds (by simpa using h) #align exists_open_set_nhds' exists_open_set_nhds' theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : ∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x := let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩ #align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds @[simp] theorem eventually_eventually_nhds {p : X → Prop} : (∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x := ⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩ #align eventually_eventually_nhds eventually_eventually_nhds @[simp] theorem frequently_frequently_nhds {p : X → Prop} : (∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by rw [← not_iff_not] simp only [not_frequently, eventually_eventually_nhds] #align frequently_frequently_nhds frequently_frequently_nhds @[simp] theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x := eventually_eventually_nhds #align eventually_mem_nhds eventually_mem_nhds @[simp] theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x := Filter.ext fun _ => eventually_eventually_nhds #align nhds_bind_nhds nhds_bind_nhds @[simp] theorem eventually_eventuallyEq_nhds {f g : X → α} : (∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x := h.self_of_nhds #align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds @[simp] theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} : (∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_le_nhds eventually_eventuallyLE_nhds theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) : (∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s := ((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp] #align all_mem_nhds all_mem_nhds theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t) (l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l := all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt) #align all_mem_nhds_filter all_mem_nhds_filter theorem tendsto_nhds {f : α → X} {l : Filter α} : Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l := all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _ #align tendsto_nhds tendsto_nhds theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} : Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U := (atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le] #align tendsto_at_top_nhds tendsto_atTop_nhds theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) := tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha #align tendsto_const_nhds tendsto_const_nhds theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs #align pure_le_nhds pure_le_nhds theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) := (tendsto_pure_pure f a).mono_right (pure_le_nhds _) #align tendsto_pure_nhds tendsto_pure_nhds theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) : Tendsto f atTop (𝓝 (f ⊤)) := (tendsto_atTop_pure f).mono_right (pure_le_nhds _) #align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds @[simp] instance nhds_neBot : NeBot (𝓝 x) := neBot_of_le (pure_le_nhds x) #align nhds_ne_bot nhds_neBot theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) : Tendsto f l (𝓝 x) := tendsto_const_nhds.congr' (.symm h) theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) : Tendsto f l (𝓝 x) := tendsto_nhds_of_eventually_eq hf theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) := h #align cluster_pt.ne_bot ClusterPt.neBot theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop} {sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) : ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty := hX.inf_basis_neBot_iff hF #align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff theorem clusterPt_iff {F : Filter X} : ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty := inf_neBot_iff #align cluster_pt_iff clusterPt_iff theorem clusterPt_iff_not_disjoint {F : Filter X} : ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by rw [disjoint_iff, ClusterPt, neBot_iff] theorem clusterPt_principal_iff : ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty := inf_principal_neBot_iff #align cluster_pt_principal_iff clusterPt_principal_iff theorem clusterPt_principal_iff_frequently : ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff] #align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by rwa [ClusterPt, inf_eq_right.mpr H] #align cluster_pt.of_le_nhds ClusterPt.of_le_nhds theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) : ClusterPt x f := ClusterPt.of_le_nhds H #align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds' theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot] #align cluster_pt.of_nhds_le ClusterPt.of_nhds_le theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g := NeBot.mono H <| inf_le_inf_left _ h #align cluster_pt.mono ClusterPt.mono theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f := H.mono inf_le_left #align cluster_pt.of_inf_left ClusterPt.of_inf_left theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x g := H.mono inf_le_right #align cluster_pt.of_inf_right ClusterPt.of_inf_right theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x := ⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩ #align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔ ∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map] rfl #align map_cluster_pt_iff mapClusterPt_iff theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β} {u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β} {u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) : MapClusterPt x F u := by have := calc map (u ∘ φ) p = map u (map φ p) := map_map _ ≤ map u F := map_mono h have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this exact neBot_of_le this #align map_cluster_pt_of_comp mapClusterPt_of_comp theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by rw [AccPt, nhdsWithin, ClusterPt, inf_assoc] #align acc_iff_cluster acc_iff_cluster theorem acc_principal_iff_cluster (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq] #align acc_principal_iff_cluster acc_principal_iff_cluster theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc, @and_comm (¬_ = x)] #align acc_pt_iff_nhds accPt_iff_nhds theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm] #align acc_pt_iff_frequently accPt_iff_frequently theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G := NeBot.mono h (inf_le_inf_left _ hFG) #align acc_pt.mono AccPt.mono theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } := Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq] #align interior_eq_nhds' interior_eq_nhds' theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } := interior_eq_nhds'.trans <| by simp only [le_principal_iff] #align interior_eq_nhds interior_eq_nhds @[simp] theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x := ⟨fun h => mem_of_superset h interior_subset, fun h => IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩ #align interior_mem_nhds interior_mem_nhds theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } := interior_eq_nhds' #align interior_set_of_eq interior_setOf_eq theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by simp only [← interior_setOf_eq, isOpen_interior] #align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by simp_rw [subset_def, mem_interior_iff_mem_nhds] #align subset_interior_iff_nhds subset_interior_iff_nhds theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := calc IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm _ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf] #align is_open_iff_nhds isOpen_iff_nhds theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} : t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x := ⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩ alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x := isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff #align is_open_iff_mem_nhds isOpen_iff_mem_nhds theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s := isOpen_iff_mem_nhds #align is_open_iff_eventually isOpen_iff_eventually theorem isOpen_iff_ultrafilter : IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter] #align is_open_iff_ultrafilter isOpen_iff_ultrafilter theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by constructor · intro h apply le_antisymm _ (pure_le_nhds x) rw [le_pure_iff] exact h.mem_nhds (mem_singleton x) · intro h simp [isOpen_iff_nhds, h] #align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff, nhds_neBot.le_pure_iff] #align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds, closure_eq_compl_interior_compl, mem_compl_iff, compl_def] #align mem_closure_iff_frequently mem_closure_iff_frequently alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently #align filter.frequently.mem_closure Filter.Frequently.mem_closure theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by rw [← closure_subset_iff_isClosed] refine forall_congr' fun x => ?_ rw [mem_closure_iff_frequently] #align is_closed_iff_frequently isClosed_iff_frequently theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or] refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2 exacts [isOpen_setOf_eventually_nhds, isOpen_const] #align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) := mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm #align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ := mem_closure_iff_clusterPt.trans neBot_iff #align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot @[deprecated (since := "2024-01-28")] alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) := mem_closure_iff_clusterPt #align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by rw [mem_closure_iff_nhdsWithin_neBot, not_neBot] theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by intro y rcases eq_or_ne y x with (rfl | hne) · rwa [mem_closure_iff_nhdsWithin_neBot] · exact subset_closure hne #align dense_compl_singleton dense_compl_singleton -- Porting note (#10618): was a `@[simp]` lemma but `simp` can prove it theorem closure_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : closure {x}ᶜ = (univ : Set X) := (dense_compl_singleton x).closure_eq #align closure_compl_singleton closure_compl_singleton @[simp] theorem interior_singleton (x : X) [NeBot (𝓝[≠] x)] : interior {x} = (∅ : Set X) := interior_eq_empty_iff_dense_compl.2 (dense_compl_singleton x) #align interior_singleton interior_singleton theorem not_isOpen_singleton (x : X) [NeBot (𝓝[≠] x)] : ¬IsOpen ({x} : Set X) := dense_compl_singleton_iff_not_open.1 (dense_compl_singleton x) #align not_is_open_singleton not_isOpen_singleton theorem closure_eq_cluster_pts : closure s = { a | ClusterPt a (𝓟 s) } := Set.ext fun _ => mem_closure_iff_clusterPt #align closure_eq_cluster_pts closure_eq_cluster_pts theorem mem_closure_iff_nhds : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, (t ∩ s).Nonempty := mem_closure_iff_clusterPt.trans clusterPt_principal_iff #align mem_closure_iff_nhds mem_closure_iff_nhds theorem mem_closure_iff_nhds' : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, ∃ y : s, ↑y ∈ t := by simp only [mem_closure_iff_nhds, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop] #align mem_closure_iff_nhds' mem_closure_iff_nhds' theorem mem_closure_iff_comap_neBot : x ∈ closure s ↔ NeBot (comap ((↑) : s → X) (𝓝 x)) := by simp_rw [mem_closure_iff_nhds, comap_neBot_iff, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop] #align mem_closure_iff_comap_ne_bot mem_closure_iff_comap_neBot theorem mem_closure_iff_nhds_basis' {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : x ∈ closure t ↔ ∀ i, p i → (s i ∩ t).Nonempty := mem_closure_iff_clusterPt.trans <| (h.clusterPt_iff (hasBasis_principal _)).trans <| by simp only [exists_prop, forall_const] #align mem_closure_iff_nhds_basis' mem_closure_iff_nhds_basis' theorem mem_closure_iff_nhds_basis {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : x ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i := (mem_closure_iff_nhds_basis' h).trans <| by simp only [Set.Nonempty, mem_inter_iff, exists_prop, and_comm] #align mem_closure_iff_nhds_basis mem_closure_iff_nhds_basis theorem clusterPt_iff_forall_mem_closure {F : Filter X} : ClusterPt x F ↔ ∀ s ∈ F, x ∈ closure s := by simp_rw [ClusterPt, inf_neBot_iff, mem_closure_iff_nhds] rw [forall₂_swap]
Mathlib/Topology/Basic.lean
1,315
1,319
theorem clusterPt_iff_lift'_closure {F : Filter X} : ClusterPt x F ↔ pure x ≤ (F.lift' closure) := by
simp_rw [clusterPt_iff_forall_mem_closure, (hasBasis_pure _).le_basis_iff F.basis_sets.lift'_closure, id, singleton_subset_iff, true_and, exists_const]
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 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] #align polynomial.derivative_of_nat_degree_zero Polynomial.derivative_of_natDegree_zero @[simp] theorem derivative_X : derivative (X : R[X]) = 1 := (derivative_monomial _ _).trans <| by simp set_option linter.uppercaseLean3 false in #align polynomial.derivative_X Polynomial.derivative_X @[simp] theorem derivative_one : derivative (1 : R[X]) = 0 := derivative_C #align polynomial.derivative_one Polynomial.derivative_one #noalign polynomial.derivative_bit0 #noalign polynomial.derivative_bit1 -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_add {f g : R[X]} : derivative (f + g) = derivative f + derivative g := derivative.map_add f g #align polynomial.derivative_add Polynomial.derivative_add -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_X_add_C (c : R) : derivative (X + C c) = 1 := by rw [derivative_add, derivative_X, derivative_C, add_zero] set_option linter.uppercaseLean3 false in #align polynomial.derivative_X_add_C Polynomial.derivative_X_add_C -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_sum {s : Finset ι} {f : ι → R[X]} : derivative (∑ b ∈ s, f b) = ∑ b ∈ s, derivative (f b) := map_sum .. #align polynomial.derivative_sum Polynomial.derivative_sum -- Porting note (#10618): removed `simp`: `simp` can prove it. theorem derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (s : S) (p : R[X]) : derivative (s • p) = s • derivative p := derivative.map_smul_of_tower s p #align polynomial.derivative_smul Polynomial.derivative_smul @[simp]
Mathlib/Algebra/Polynomial/Derivative.lean
167
171
theorem iterate_derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (s : S) (p : R[X]) (k : ℕ) : derivative^[k] (s • p) = s • derivative^[k] p := by
induction' k with k ih generalizing p · simp · simp [ih]
import Mathlib.Data.Fintype.List #align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49" assert_not_exists MonoidWithZero namespace List variable {α : Type*} [DecidableEq α] def nextOr : ∀ (_ : List α) (_ _ : α), α | [], _, default => default | [_], _, default => default -- Handles the not-found and the wraparound case | y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default #align list.next_or List.nextOr @[simp] theorem nextOr_nil (x d : α) : nextOr [] x d = d := rfl #align list.next_or_nil List.nextOr_nil @[simp] theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d := rfl #align list.next_or_singleton List.nextOr_singleton @[simp] theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y := if_pos rfl #align list.next_or_self_cons_cons List.nextOr_self_cons_cons theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) : nextOr (y :: xs) x d = nextOr xs x d := by cases' xs with z zs · rfl · exact if_neg h #align list.next_or_cons_of_ne List.nextOr_cons_of_ne theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs) (x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by induction' xs with y ys IH · cases x_mem cases' ys with z zs · simp at x_mem x_ne contradiction by_cases h : x = y · rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons] · rw [nextOr, nextOr, IH] · simpa [h] using x_mem · simpa using x_ne #align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by induction' xs with y ys IH · simp at h cases' ys with z zs · simp at h · by_cases hx : x = y · simp [hx] · rw [nextOr_cons_of_ne _ _ _ _ hx] at h simpa [hx] using IH h #align list.mem_of_next_or_ne List.mem_of_nextOr_ne theorem nextOr_concat {xs : List α} {x : α} (d : α) (h : x ∉ xs) : nextOr (xs ++ [x]) x d = d := by induction' xs with z zs IH · simp · obtain ⟨hz, hzs⟩ := not_or.mp (mt mem_cons.2 h) rw [cons_append, nextOr_cons_of_ne _ _ _ _ hz, IH hzs] #align list.next_or_concat List.nextOr_concat theorem nextOr_mem {xs : List α} {x d : α} (hd : d ∈ xs) : nextOr xs x d ∈ xs := by revert hd suffices ∀ xs' : List α, (∀ x ∈ xs, x ∈ xs') → d ∈ xs' → nextOr xs x d ∈ xs' by exact this xs fun _ => id intro xs' hxs' hd induction' xs with y ys ih · exact hd cases' ys with z zs · exact hd rw [nextOr] split_ifs with h · exact hxs' _ (mem_cons_of_mem _ (mem_cons_self _ _)) · exact ih fun _ h => hxs' _ (mem_cons_of_mem _ h) #align list.next_or_mem List.nextOr_mem def next (l : List α) (x : α) (h : x ∈ l) : α := nextOr l x (l.get ⟨0, length_pos_of_mem h⟩) #align list.next List.next def prev : ∀ l : List α, ∀ x ∈ l, α | [], _, h => by simp at h | [y], _, _ => y | y :: z :: xs, x, h => if hx : x = y then getLast (z :: xs) (cons_ne_nil _ _) else if x = z then y else prev (z :: xs) x (by simpa [hx] using h) #align list.prev List.prev variable (l : List α) (x : α) @[simp] theorem next_singleton (x y : α) (h : x ∈ [y]) : next [y] x h = y := rfl #align list.next_singleton List.next_singleton @[simp] theorem prev_singleton (x y : α) (h : x ∈ [y]) : prev [y] x h = y := rfl #align list.prev_singleton List.prev_singleton
Mathlib/Data/List/Cycle.lean
154
155
theorem next_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) : next (y :: z :: l) x h = z := by
rw [next, nextOr, if_pos hx]
import Mathlib.Topology.Baire.Lemmas import Mathlib.Topology.Algebra.Group.Basic open scoped Topology Pointwise open MulAction Set Function variable {G X : Type*} [TopologicalSpace G] [TopologicalSpace X] [Group G] [TopologicalGroup G] [MulAction G X] [SigmaCompactSpace G] [BaireSpace X] [T2Space X] [ContinuousSMul G X] [IsPretransitive G X] @[to_additive "Consider a sigma-compact additive group acting continuously and transitively on a Baire space. Then the orbit map is open around zero. It follows in `isOpenMap_vadd_of_sigmaCompact` that it is open around any point."] theorem smul_singleton_mem_nhds_of_sigmaCompact {U : Set G} (hU : U ∈ 𝓝 1) (x : X) : U • {x} ∈ 𝓝 x := by obtain ⟨V, V_mem, V_closed, V_symm, VU⟩ : ∃ V ∈ 𝓝 (1 : G), IsClosed V ∧ V⁻¹ = V ∧ V * V ⊆ U := exists_closed_nhds_one_inv_eq_mul_subset hU obtain ⟨s, s_count, hs⟩ : ∃ (s : Set G), s.Countable ∧ ⋃ g ∈ s, g • V = univ := by apply countable_cover_nhds_of_sigma_compact (fun g ↦ ?_) convert smul_mem_nhds g V_mem simp only [smul_eq_mul, mul_one] let K : ℕ → Set G := compactCovering G let F : ℕ × s → Set X := fun p ↦ (K p.1 ∩ (p.2 : G) • V) • ({x} : Set X) obtain ⟨⟨n, ⟨g, hg⟩⟩, hi⟩ : ∃ i, (interior (F i)).Nonempty := by have : Nonempty X := ⟨x⟩ have : Encodable s := Countable.toEncodable s_count apply nonempty_interior_of_iUnion_of_closed · rintro ⟨n, ⟨g, hg⟩⟩ apply IsCompact.isClosed suffices H : IsCompact ((fun (g : G) ↦ g • x) '' (K n ∩ g • V)) by simpa only [F, smul_singleton] using H apply IsCompact.image · exact (isCompact_compactCovering G n).inter_right (V_closed.smul g) · exact continuous_id.smul continuous_const · apply eq_univ_iff_forall.2 (fun y ↦ ?_) obtain ⟨h, rfl⟩ : ∃ h, h • x = y := exists_smul_eq G x y obtain ⟨n, hn⟩ : ∃ n, h ∈ K n := exists_mem_compactCovering h obtain ⟨g, gs, hg⟩ : ∃ g ∈ s, h ∈ g • V := exists_set_mem_of_union_eq_top s _ hs _ simp only [F, smul_singleton, mem_iUnion, mem_image, mem_inter_iff, Prod.exists, Subtype.exists, exists_prop] exact ⟨n, g, gs, h, ⟨hn, hg⟩, rfl⟩ have I : (interior ((g • V) • {x})).Nonempty := by apply hi.mono apply interior_mono exact smul_subset_smul_right inter_subset_right obtain ⟨y, hy⟩ : (interior (V • ({x} : Set X))).Nonempty := by rw [smul_assoc, interior_smul] at I exact smul_set_nonempty.1 I obtain ⟨g', hg', rfl⟩ : ∃ g' ∈ V, g' • x = y := by simpa using interior_subset hy have J : (g' ⁻¹ • V) • {x} ∈ 𝓝 x := by apply mem_interior_iff_mem_nhds.1 rwa [smul_assoc, interior_smul, mem_inv_smul_set_iff] have : (g'⁻¹ • V) • {x} ⊆ U • ({x} : Set X) := by apply smul_subset_smul_right apply Subset.trans (smul_set_subset_smul (inv_mem_inv.2 hg')) ?_ rw [V_symm] exact VU exact Filter.mem_of_superset J this @[to_additive "Consider a sigma-compact additive group acting continuously and transitively on a Baire space. Then the orbit map is open. This is a version of the open mapping theorem, valid notably for the action of a sigma-compact locally compact group on a locally compact space."] theorem isOpenMap_smul_of_sigmaCompact (x : X) : IsOpenMap (fun (g : G) ↦ g • x) := by simp_rw [isOpenMap_iff_nhds_le, Filter.le_map_iff] intro g U hU have : (· • x) = (· • (g • x)) ∘ (· * g⁻¹) := by ext g simp [smul_smul] rw [this, image_comp, ← smul_singleton] apply smul_singleton_mem_nhds_of_sigmaCompact simpa using isOpenMap_mul_right g⁻¹ |>.image_mem_nhds hU @[to_additive]
Mathlib/Topology/Algebra/Group/OpenMapping.lean
112
121
theorem MonoidHom.isOpenMap_of_sigmaCompact {H : Type*} [Group H] [TopologicalSpace H] [BaireSpace H] [T2Space H] [ContinuousMul H] (f : G →* H) (hf : Function.Surjective f) (h'f : Continuous f) : IsOpenMap f := by
let A : MulAction G H := MulAction.compHom _ f have : ContinuousSMul G H := continuousSMul_compHom h'f have : IsPretransitive G H := isPretransitive_compHom hf have : f = (fun (g : G) ↦ g • (1 : H)) := by simp [MulAction.compHom_smul_def] rw [this] exact isOpenMap_smul_of_sigmaCompact _
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] 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]
Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean
102
104
theorem iteratedDeriv_const_mul {n : ℕ} {f : 𝕜 → 𝕜} (h : ContDiff 𝕜 n f) (c : 𝕜) : iteratedDeriv n (fun x => f (c * x)) = fun x => c ^ n * iteratedDeriv n f (c * x) := by
simpa only [smul_eq_mul] using iteratedDeriv_const_smul h c
import Mathlib.CategoryTheory.Comma.Over import Mathlib.CategoryTheory.DiscreteCategory import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Limits.Shapes.Terminal #align_import category_theory.limits.shapes.binary_products from "leanprover-community/mathlib"@"fec1d95fc61c750c1ddbb5b1f7f48b8e811a80d7" noncomputable section universe v u u₂ open CategoryTheory namespace CategoryTheory.Limits inductive WalkingPair : Type | left | right deriving DecidableEq, Inhabited #align category_theory.limits.walking_pair CategoryTheory.Limits.WalkingPair open WalkingPair def WalkingPair.swap : WalkingPair ≃ WalkingPair where toFun j := WalkingPair.recOn j right left invFun j := WalkingPair.recOn j right left left_inv j := by cases j; repeat rfl right_inv j := by cases j; repeat rfl #align category_theory.limits.walking_pair.swap CategoryTheory.Limits.WalkingPair.swap @[simp] theorem WalkingPair.swap_apply_left : WalkingPair.swap left = right := rfl #align category_theory.limits.walking_pair.swap_apply_left CategoryTheory.Limits.WalkingPair.swap_apply_left @[simp] theorem WalkingPair.swap_apply_right : WalkingPair.swap right = left := rfl #align category_theory.limits.walking_pair.swap_apply_right CategoryTheory.Limits.WalkingPair.swap_apply_right @[simp] theorem WalkingPair.swap_symm_apply_tt : WalkingPair.swap.symm left = right := rfl #align category_theory.limits.walking_pair.swap_symm_apply_tt CategoryTheory.Limits.WalkingPair.swap_symm_apply_tt @[simp] theorem WalkingPair.swap_symm_apply_ff : WalkingPair.swap.symm right = left := rfl #align category_theory.limits.walking_pair.swap_symm_apply_ff CategoryTheory.Limits.WalkingPair.swap_symm_apply_ff def WalkingPair.equivBool : WalkingPair ≃ Bool where toFun j := WalkingPair.recOn j true false -- to match equiv.sum_equiv_sigma_bool invFun b := Bool.recOn b right left left_inv j := by cases j; repeat rfl right_inv b := by cases b; repeat rfl #align category_theory.limits.walking_pair.equiv_bool CategoryTheory.Limits.WalkingPair.equivBool @[simp] theorem WalkingPair.equivBool_apply_left : WalkingPair.equivBool left = true := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_left CategoryTheory.Limits.WalkingPair.equivBool_apply_left @[simp] theorem WalkingPair.equivBool_apply_right : WalkingPair.equivBool right = false := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_right CategoryTheory.Limits.WalkingPair.equivBool_apply_right @[simp] theorem WalkingPair.equivBool_symm_apply_true : WalkingPair.equivBool.symm true = left := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_tt CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_true @[simp] theorem WalkingPair.equivBool_symm_apply_false : WalkingPair.equivBool.symm false = right := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_ff CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_false variable {C : Type u} def pairFunction (X Y : C) : WalkingPair → C := fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair_function CategoryTheory.Limits.pairFunction @[simp] theorem pairFunction_left (X Y : C) : pairFunction X Y left = X := rfl #align category_theory.limits.pair_function_left CategoryTheory.Limits.pairFunction_left @[simp] theorem pairFunction_right (X Y : C) : pairFunction X Y right = Y := rfl #align category_theory.limits.pair_function_right CategoryTheory.Limits.pairFunction_right variable [Category.{v} C] def pair (X Y : C) : Discrete WalkingPair ⥤ C := Discrete.functor fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair CategoryTheory.Limits.pair @[simp] theorem pair_obj_left (X Y : C) : (pair X Y).obj ⟨left⟩ = X := rfl #align category_theory.limits.pair_obj_left CategoryTheory.Limits.pair_obj_left @[simp] theorem pair_obj_right (X Y : C) : (pair X Y).obj ⟨right⟩ = Y := rfl #align category_theory.limits.pair_obj_right CategoryTheory.Limits.pair_obj_right section variable {F G : Discrete WalkingPair ⥤ C} (f : F.obj ⟨left⟩ ⟶ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ⟶ G.obj ⟨right⟩) attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases def mapPair : F ⟶ G where app j := Discrete.recOn j fun j => WalkingPair.casesOn j f g naturality := fun ⟨X⟩ ⟨Y⟩ ⟨⟨u⟩⟩ => by aesop_cat #align category_theory.limits.map_pair CategoryTheory.Limits.mapPair @[simp] theorem mapPair_left : (mapPair f g).app ⟨left⟩ = f := rfl #align category_theory.limits.map_pair_left CategoryTheory.Limits.mapPair_left @[simp] theorem mapPair_right : (mapPair f g).app ⟨right⟩ = g := rfl #align category_theory.limits.map_pair_right CategoryTheory.Limits.mapPair_right @[simps!] def mapPairIso (f : F.obj ⟨left⟩ ≅ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ≅ G.obj ⟨right⟩) : F ≅ G := NatIso.ofComponents (fun j => Discrete.recOn j fun j => WalkingPair.casesOn j f g) (fun ⟨⟨u⟩⟩ => by aesop_cat) #align category_theory.limits.map_pair_iso CategoryTheory.Limits.mapPairIso end @[simps!] def diagramIsoPair (F : Discrete WalkingPair ⥤ C) : F ≅ pair (F.obj ⟨WalkingPair.left⟩) (F.obj ⟨WalkingPair.right⟩) := mapPairIso (Iso.refl _) (Iso.refl _) #align category_theory.limits.diagram_iso_pair CategoryTheory.Limits.diagramIsoPair section variable {D : Type u} [Category.{v} D] def pairComp (X Y : C) (F : C ⥤ D) : pair X Y ⋙ F ≅ pair (F.obj X) (F.obj Y) := diagramIsoPair _ #align category_theory.limits.pair_comp CategoryTheory.Limits.pairComp end abbrev BinaryFan (X Y : C) := Cone (pair X Y) #align category_theory.limits.binary_fan CategoryTheory.Limits.BinaryFan abbrev BinaryFan.fst {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_fan.fst CategoryTheory.Limits.BinaryFan.fst abbrev BinaryFan.snd {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_fan.snd CategoryTheory.Limits.BinaryFan.snd @[simp] theorem BinaryFan.π_app_left {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.left⟩ = s.fst := rfl #align category_theory.limits.binary_fan.π_app_left CategoryTheory.Limits.BinaryFan.π_app_left @[simp] theorem BinaryFan.π_app_right {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.right⟩ = s.snd := rfl #align category_theory.limits.binary_fan.π_app_right CategoryTheory.Limits.BinaryFan.π_app_right def BinaryFan.IsLimit.mk {X Y : C} (s : BinaryFan X Y) (lift : ∀ {T : C} (_ : T ⟶ X) (_ : T ⟶ Y), T ⟶ s.pt) (hl₁ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.fst = f) (hl₂ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.snd = g) (uniq : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y) (m : T ⟶ s.pt) (_ : m ≫ s.fst = f) (_ : m ≫ s.snd = g), m = lift f g) : IsLimit s := Limits.IsLimit.mk (fun t => lift (BinaryFan.fst t) (BinaryFan.snd t)) (by rintro t (rfl | rfl) · exact hl₁ _ _ · exact hl₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_fan.is_limit.mk CategoryTheory.Limits.BinaryFan.IsLimit.mk theorem BinaryFan.IsLimit.hom_ext {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) {f g : W ⟶ s.pt} (h₁ : f ≫ s.fst = g ≫ s.fst) (h₂ : f ≫ s.snd = g ≫ s.snd) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_fan.is_limit.hom_ext CategoryTheory.Limits.BinaryFan.IsLimit.hom_ext abbrev BinaryCofan (X Y : C) := Cocone (pair X Y) #align category_theory.limits.binary_cofan CategoryTheory.Limits.BinaryCofan abbrev BinaryCofan.inl {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_cofan.inl CategoryTheory.Limits.BinaryCofan.inl abbrev BinaryCofan.inr {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_cofan.inr CategoryTheory.Limits.BinaryCofan.inr @[simp] theorem BinaryCofan.ι_app_left {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.left⟩ = s.inl := rfl #align category_theory.limits.binary_cofan.ι_app_left CategoryTheory.Limits.BinaryCofan.ι_app_left @[simp] theorem BinaryCofan.ι_app_right {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.right⟩ = s.inr := rfl #align category_theory.limits.binary_cofan.ι_app_right CategoryTheory.Limits.BinaryCofan.ι_app_right def BinaryCofan.IsColimit.mk {X Y : C} (s : BinaryCofan X Y) (desc : ∀ {T : C} (_ : X ⟶ T) (_ : Y ⟶ T), s.pt ⟶ T) (hd₁ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inl ≫ desc f g = f) (hd₂ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inr ≫ desc f g = g) (uniq : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T) (m : s.pt ⟶ T) (_ : s.inl ≫ m = f) (_ : s.inr ≫ m = g), m = desc f g) : IsColimit s := Limits.IsColimit.mk (fun t => desc (BinaryCofan.inl t) (BinaryCofan.inr t)) (by rintro t (rfl | rfl) · exact hd₁ _ _ · exact hd₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_cofan.is_colimit.mk CategoryTheory.Limits.BinaryCofan.IsColimit.mk theorem BinaryCofan.IsColimit.hom_ext {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) {f g : s.pt ⟶ W} (h₁ : s.inl ≫ f = s.inl ≫ g) (h₂ : s.inr ≫ f = s.inr ≫ g) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_cofan.is_colimit.hom_ext CategoryTheory.Limits.BinaryCofan.IsColimit.hom_ext variable {X Y : C} section attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases -- Porting note: would it be okay to use this more generally? attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Eq @[simps pt] def BinaryFan.mk {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : BinaryFan X Y where pt := P π := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_fan.mk CategoryTheory.Limits.BinaryFan.mk @[simps pt] def BinaryCofan.mk {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : BinaryCofan X Y where pt := P ι := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_cofan.mk CategoryTheory.Limits.BinaryCofan.mk end @[simp] theorem BinaryFan.mk_fst {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).fst = π₁ := rfl #align category_theory.limits.binary_fan.mk_fst CategoryTheory.Limits.BinaryFan.mk_fst @[simp] theorem BinaryFan.mk_snd {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).snd = π₂ := rfl #align category_theory.limits.binary_fan.mk_snd CategoryTheory.Limits.BinaryFan.mk_snd @[simp] theorem BinaryCofan.mk_inl {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inl = ι₁ := rfl #align category_theory.limits.binary_cofan.mk_inl CategoryTheory.Limits.BinaryCofan.mk_inl @[simp] theorem BinaryCofan.mk_inr {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inr = ι₂ := rfl #align category_theory.limits.binary_cofan.mk_inr CategoryTheory.Limits.BinaryCofan.mk_inr def isoBinaryFanMk {X Y : C} (c : BinaryFan X Y) : c ≅ BinaryFan.mk c.fst c.snd := Cones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_fan_mk CategoryTheory.Limits.isoBinaryFanMk def isoBinaryCofanMk {X Y : C} (c : BinaryCofan X Y) : c ≅ BinaryCofan.mk c.inl c.inr := Cocones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_cofan_mk CategoryTheory.Limits.isoBinaryCofanMk def BinaryFan.isLimitMk {W : C} {fst : W ⟶ X} {snd : W ⟶ Y} (lift : ∀ s : BinaryFan X Y, s.pt ⟶ W) (fac_left : ∀ s : BinaryFan X Y, lift s ≫ fst = s.fst) (fac_right : ∀ s : BinaryFan X Y, lift s ≫ snd = s.snd) (uniq : ∀ (s : BinaryFan X Y) (m : s.pt ⟶ W) (_ : m ≫ fst = s.fst) (_ : m ≫ snd = s.snd), m = lift s) : IsLimit (BinaryFan.mk fst snd) := { lift := lift fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_fan.is_limit_mk CategoryTheory.Limits.BinaryFan.isLimitMk def BinaryCofan.isColimitMk {W : C} {inl : X ⟶ W} {inr : Y ⟶ W} (desc : ∀ s : BinaryCofan X Y, W ⟶ s.pt) (fac_left : ∀ s : BinaryCofan X Y, inl ≫ desc s = s.inl) (fac_right : ∀ s : BinaryCofan X Y, inr ≫ desc s = s.inr) (uniq : ∀ (s : BinaryCofan X Y) (m : W ⟶ s.pt) (_ : inl ≫ m = s.inl) (_ : inr ≫ m = s.inr), m = desc s) : IsColimit (BinaryCofan.mk inl inr) := { desc := desc fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_cofan.is_colimit_mk CategoryTheory.Limits.BinaryCofan.isColimitMk @[simps] def BinaryFan.IsLimit.lift' {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ s.pt // l ≫ s.fst = f ∧ l ≫ s.snd = g } := ⟨h.lift <| BinaryFan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_fan.is_limit.lift' CategoryTheory.Limits.BinaryFan.IsLimit.lift' @[simps] def BinaryCofan.IsColimit.desc' {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) (f : X ⟶ W) (g : Y ⟶ W) : { l : s.pt ⟶ W // s.inl ≫ l = f ∧ s.inr ≫ l = g } := ⟨h.desc <| BinaryCofan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_cofan.is_colimit.desc' CategoryTheory.Limits.BinaryCofan.IsColimit.desc' def BinaryFan.isLimitFlip {X Y : C} {c : BinaryFan X Y} (hc : IsLimit c) : IsLimit (BinaryFan.mk c.snd c.fst) := BinaryFan.isLimitMk (fun s => hc.lift (BinaryFan.mk s.snd s.fst)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryFan.IsLimit.hom_ext hc (e₂.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_fan.is_limit_flip CategoryTheory.Limits.BinaryFan.isLimitFlip theorem BinaryFan.isLimit_iff_isIso_fst {X Y : C} (h : IsTerminal Y) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.fst := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryFan.IsLimit.lift' H (𝟙 X) (h.from X) exact ⟨⟨l, BinaryFan.IsLimit.hom_ext H (by simpa [hl, -Category.comp_id] using Category.comp_id _) (h.hom_ext _ _), hl⟩⟩ · intro exact ⟨BinaryFan.IsLimit.mk _ (fun f _ => f ≫ inv c.fst) (fun _ _ => by simp) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => by simp [← e]⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_fst CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_fst theorem BinaryFan.isLimit_iff_isIso_snd {X Y : C} (h : IsTerminal X) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.snd := by refine Iff.trans ?_ (BinaryFan.isLimit_iff_isIso_fst h (BinaryFan.mk c.snd c.fst)) exact ⟨fun h => ⟨BinaryFan.isLimitFlip h.some⟩, fun h => ⟨(BinaryFan.isLimitFlip h.some).ofIsoLimit (isoBinaryFanMk c).symm⟩⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_snd CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_snd noncomputable def BinaryFan.isLimitCompLeftIso {X Y X' : C} (c : BinaryFan X Y) (f : X ⟶ X') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk (c.fst ≫ f) c.snd) := by fapply BinaryFan.isLimitMk · exact fun s => h.lift (BinaryFan.mk (s.fst ≫ inv f) s.snd) · intro s -- Porting note: simp timed out here simp only [Category.comp_id,BinaryFan.π_app_left,IsIso.inv_hom_id, BinaryFan.mk_fst,IsLimit.fac_assoc,eq_self_iff_true,Category.assoc] · intro s -- Porting note: simp timed out here simp only [BinaryFan.π_app_right,BinaryFan.mk_snd,eq_self_iff_true,IsLimit.fac] · intro s m e₁ e₂ -- Porting note: simpa timed out here also apply BinaryFan.IsLimit.hom_ext h · simpa only [BinaryFan.π_app_left,BinaryFan.mk_fst,Category.assoc,IsLimit.fac,IsIso.eq_comp_inv] · simpa only [BinaryFan.π_app_right,BinaryFan.mk_snd,IsLimit.fac] #align category_theory.limits.binary_fan.is_limit_comp_left_iso CategoryTheory.Limits.BinaryFan.isLimitCompLeftIso noncomputable def BinaryFan.isLimitCompRightIso {X Y Y' : C} (c : BinaryFan X Y) (f : Y ⟶ Y') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk c.fst (c.snd ≫ f)) := BinaryFan.isLimitFlip <| BinaryFan.isLimitCompLeftIso _ f (BinaryFan.isLimitFlip h) #align category_theory.limits.binary_fan.is_limit_comp_right_iso CategoryTheory.Limits.BinaryFan.isLimitCompRightIso def BinaryCofan.isColimitFlip {X Y : C} {c : BinaryCofan X Y} (hc : IsColimit c) : IsColimit (BinaryCofan.mk c.inr c.inl) := BinaryCofan.isColimitMk (fun s => hc.desc (BinaryCofan.mk s.inr s.inl)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryCofan.IsColimit.hom_ext hc (e₂.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_cofan.is_colimit_flip CategoryTheory.Limits.BinaryCofan.isColimitFlip theorem BinaryCofan.isColimit_iff_isIso_inl {X Y : C} (h : IsInitial Y) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inl := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryCofan.IsColimit.desc' H (𝟙 X) (h.to X) refine ⟨⟨l, hl, BinaryCofan.IsColimit.hom_ext H (?_) (h.hom_ext _ _)⟩⟩ rw [Category.comp_id] have e : (inl c ≫ l) ≫ inl c = 𝟙 X ≫ inl c := congrArg (·≫inl c) hl rwa [Category.assoc,Category.id_comp] at e · intro exact ⟨BinaryCofan.IsColimit.mk _ (fun f _ => inv c.inl ≫ f) (fun _ _ => IsIso.hom_inv_id_assoc _ _) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => (IsIso.eq_inv_comp _).mpr e⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inl CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inl theorem BinaryCofan.isColimit_iff_isIso_inr {X Y : C} (h : IsInitial X) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inr := by refine Iff.trans ?_ (BinaryCofan.isColimit_iff_isIso_inl h (BinaryCofan.mk c.inr c.inl)) exact ⟨fun h => ⟨BinaryCofan.isColimitFlip h.some⟩, fun h => ⟨(BinaryCofan.isColimitFlip h.some).ofIsoColimit (isoBinaryCofanMk c).symm⟩⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inr CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inr noncomputable def BinaryCofan.isColimitCompLeftIso {X Y X' : C} (c : BinaryCofan X Y) (f : X' ⟶ X) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk (f ≫ c.inl) c.inr) := by fapply BinaryCofan.isColimitMk · exact fun s => h.desc (BinaryCofan.mk (inv f ≫ s.inl) s.inr) · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] · intro s m e₁ e₂ apply BinaryCofan.IsColimit.hom_ext h · rw [← cancel_epi f] -- Porting note: simp timed out here too simpa only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] using e₁ -- Porting note: simp timed out here too · simpa only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] #align category_theory.limits.binary_cofan.is_colimit_comp_left_iso CategoryTheory.Limits.BinaryCofan.isColimitCompLeftIso noncomputable def BinaryCofan.isColimitCompRightIso {X Y Y' : C} (c : BinaryCofan X Y) (f : Y' ⟶ Y) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk c.inl (f ≫ c.inr)) := BinaryCofan.isColimitFlip <| BinaryCofan.isColimitCompLeftIso _ f (BinaryCofan.isColimitFlip h) #align category_theory.limits.binary_cofan.is_colimit_comp_right_iso CategoryTheory.Limits.BinaryCofan.isColimitCompRightIso abbrev HasBinaryProduct (X Y : C) := HasLimit (pair X Y) #align category_theory.limits.has_binary_product CategoryTheory.Limits.HasBinaryProduct abbrev HasBinaryCoproduct (X Y : C) := HasColimit (pair X Y) #align category_theory.limits.has_binary_coproduct CategoryTheory.Limits.HasBinaryCoproduct abbrev prod (X Y : C) [HasBinaryProduct X Y] := limit (pair X Y) #align category_theory.limits.prod CategoryTheory.Limits.prod abbrev coprod (X Y : C) [HasBinaryCoproduct X Y] := colimit (pair X Y) #align category_theory.limits.coprod CategoryTheory.Limits.coprod notation:20 X " ⨯ " Y:20 => prod X Y notation:20 X " ⨿ " Y:20 => coprod X Y abbrev prod.fst {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ X := limit.π (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.prod.fst CategoryTheory.Limits.prod.fst abbrev prod.snd {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ Y := limit.π (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.prod.snd CategoryTheory.Limits.prod.snd abbrev coprod.inl {X Y : C} [HasBinaryCoproduct X Y] : X ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.coprod.inl CategoryTheory.Limits.coprod.inl abbrev coprod.inr {X Y : C} [HasBinaryCoproduct X Y] : Y ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.coprod.inr CategoryTheory.Limits.coprod.inr def prodIsProd (X Y : C) [HasBinaryProduct X Y] : IsLimit (BinaryFan.mk (prod.fst : X ⨯ Y ⟶ X) prod.snd) := (limit.isLimit _).ofIsoLimit (Cones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.id_comp]; rfl · dsimp; simp only [Category.id_comp]; rfl )) #align category_theory.limits.prod_is_prod CategoryTheory.Limits.prodIsProd def coprodIsCoprod (X Y : C) [HasBinaryCoproduct X Y] : IsColimit (BinaryCofan.mk (coprod.inl : X ⟶ X ⨿ Y) coprod.inr) := (colimit.isColimit _).ofIsoColimit (Cocones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.comp_id] · dsimp; simp only [Category.comp_id] )) #align category_theory.limits.coprod_is_coprod CategoryTheory.Limits.coprodIsCoprod @[ext 1100] theorem prod.hom_ext {W X Y : C} [HasBinaryProduct X Y] {f g : W ⟶ X ⨯ Y} (h₁ : f ≫ prod.fst = g ≫ prod.fst) (h₂ : f ≫ prod.snd = g ≫ prod.snd) : f = g := BinaryFan.IsLimit.hom_ext (limit.isLimit _) h₁ h₂ #align category_theory.limits.prod.hom_ext CategoryTheory.Limits.prod.hom_ext @[ext 1100] theorem coprod.hom_ext {W X Y : C} [HasBinaryCoproduct X Y] {f g : X ⨿ Y ⟶ W} (h₁ : coprod.inl ≫ f = coprod.inl ≫ g) (h₂ : coprod.inr ≫ f = coprod.inr ≫ g) : f = g := BinaryCofan.IsColimit.hom_ext (colimit.isColimit _) h₁ h₂ #align category_theory.limits.coprod.hom_ext CategoryTheory.Limits.coprod.hom_ext abbrev prod.lift {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : W ⟶ X ⨯ Y := limit.lift _ (BinaryFan.mk f g) #align category_theory.limits.prod.lift CategoryTheory.Limits.prod.lift abbrev diag (X : C) [HasBinaryProduct X X] : X ⟶ X ⨯ X := prod.lift (𝟙 _) (𝟙 _) #align category_theory.limits.diag CategoryTheory.Limits.diag abbrev coprod.desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : X ⨿ Y ⟶ W := colimit.desc _ (BinaryCofan.mk f g) #align category_theory.limits.coprod.desc CategoryTheory.Limits.coprod.desc abbrev codiag (X : C) [HasBinaryCoproduct X X] : X ⨿ X ⟶ X := coprod.desc (𝟙 _) (𝟙 _) #align category_theory.limits.codiag CategoryTheory.Limits.codiag -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_fst {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.fst = f := limit.lift_π _ _ #align category_theory.limits.prod.lift_fst CategoryTheory.Limits.prod.lift_fst #align category_theory.limits.prod.lift_fst_assoc CategoryTheory.Limits.prod.lift_fst_assoc -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_snd {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.snd = g := limit.lift_π _ _ #align category_theory.limits.prod.lift_snd CategoryTheory.Limits.prod.lift_snd #align category_theory.limits.prod.lift_snd_assoc CategoryTheory.Limits.prod.lift_snd_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inl_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inl ≫ coprod.desc f g = f := colimit.ι_desc _ _ #align category_theory.limits.coprod.inl_desc CategoryTheory.Limits.coprod.inl_desc #align category_theory.limits.coprod.inl_desc_assoc CategoryTheory.Limits.coprod.inl_desc_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inr_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inr ≫ coprod.desc f g = g := colimit.ι_desc _ _ #align category_theory.limits.coprod.inr_desc CategoryTheory.Limits.coprod.inr_desc #align category_theory.limits.coprod.inr_desc_assoc CategoryTheory.Limits.coprod.inr_desc_assoc instance prod.mono_lift_of_mono_left {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono f] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_fst _ _ #align category_theory.limits.prod.mono_lift_of_mono_left CategoryTheory.Limits.prod.mono_lift_of_mono_left instance prod.mono_lift_of_mono_right {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono g] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_snd _ _ #align category_theory.limits.prod.mono_lift_of_mono_right CategoryTheory.Limits.prod.mono_lift_of_mono_right instance coprod.epi_desc_of_epi_left {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi f] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inl_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_left CategoryTheory.Limits.coprod.epi_desc_of_epi_left instance coprod.epi_desc_of_epi_right {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi g] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inr_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_right CategoryTheory.Limits.coprod.epi_desc_of_epi_right def prod.lift' {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ X ⨯ Y // l ≫ prod.fst = f ∧ l ≫ prod.snd = g } := ⟨prod.lift f g, prod.lift_fst _ _, prod.lift_snd _ _⟩ #align category_theory.limits.prod.lift' CategoryTheory.Limits.prod.lift' def coprod.desc' {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : { l : X ⨿ Y ⟶ W // coprod.inl ≫ l = f ∧ coprod.inr ≫ l = g } := ⟨coprod.desc f g, coprod.inl_desc _ _, coprod.inr_desc _ _⟩ #align category_theory.limits.coprod.desc' CategoryTheory.Limits.coprod.desc' def prod.map {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨯ X ⟶ Y ⨯ Z := limMap (mapPair f g) #align category_theory.limits.prod.map CategoryTheory.Limits.prod.map def coprod.map {W X Y Z : C} [HasBinaryCoproduct W X] [HasBinaryCoproduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨿ X ⟶ Y ⨿ Z := colimMap (mapPair f g) #align category_theory.limits.coprod.map CategoryTheory.Limits.coprod.map section ProdLemmas -- Making the reassoc version of this a simp lemma seems to be more harmful than helpful. @[reassoc, simp] theorem prod.comp_lift {V W X Y : C} [HasBinaryProduct X Y] (f : V ⟶ W) (g : W ⟶ X) (h : W ⟶ Y) : f ≫ prod.lift g h = prod.lift (f ≫ g) (f ≫ h) := by ext <;> simp #align category_theory.limits.prod.comp_lift CategoryTheory.Limits.prod.comp_lift #align category_theory.limits.prod.comp_lift_assoc CategoryTheory.Limits.prod.comp_lift_assoc
Mathlib/CategoryTheory/Limits/Shapes/BinaryProducts.lean
711
712
theorem prod.comp_diag {X Y : C} [HasBinaryProduct Y Y] (f : X ⟶ Y) : f ≫ diag Y = prod.lift f f := by
simp
import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.SpecialFunctions.Gamma.Basic open Real Set MeasureTheory MeasureTheory.Measure section real
Mathlib/MeasureTheory/Integral/Gamma.lean
21
37
theorem integral_rpow_mul_exp_neg_rpow {p q : ℝ} (hp : 0 < p) (hq : - 1 < q) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- x ^ p) = (1 / p) * Gamma ((q + 1) / p) := by
calc _ = ∫ (x : ℝ) in Ioi 0, (1 / p * x ^ (1 / p - 1)) • ((x ^ (1 / p)) ^ q * exp (-x)) := by rw [← integral_comp_rpow_Ioi _ (one_div_ne_zero (ne_of_gt hp)), abs_eq_self.mpr (le_of_lt (one_div_pos.mpr hp))] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx) _ p, one_div_mul_cancel (ne_of_gt hp), rpow_one] _ = ∫ (x : ℝ) in Ioi 0, 1 / p * exp (-x) * x ^ (1 / p - 1 + q / p) := by simp_rw [smul_eq_mul, mul_assoc] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx), div_mul_eq_mul_div, one_mul, rpow_add hx] ring_nf _ = (1 / p) * Gamma ((q + 1) / p) := by rw [Gamma_eq_integral (div_pos (neg_lt_iff_pos_add.mp hq) hp)] simp_rw [show 1 / p - 1 + q / p = (q + 1) / p - 1 by field_simp; ring, ← integral_mul_left, ← mul_assoc]
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by simp_rw [mem_iUnion] #align set.mem_Union₂ Set.mem_iUnion₂ theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by simp_rw [mem_iInter] #align set.mem_Inter₂ Set.mem_iInter₂ theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i := mem_iUnion.2 ⟨i, ha⟩ #align set.mem_Union_of_mem Set.mem_iUnion_of_mem theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) : a ∈ ⋃ (i) (j), s i j := mem_iUnion₂.2 ⟨i, j, ha⟩ #align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_iInter.2 h #align set.mem_Inter_of_mem Set.mem_iInter_of_mem theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ (i) (j), s i j := mem_iInter₂.2 h #align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) := { instBooleanAlgebraSet with le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩ sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in sInf_le := fun s t t_in a h => h _ t_in iInf_iSup_eq := by intros; ext; simp [Classical.skolem] } instance : OrderTop (Set α) where top := univ le_top := by simp @[congr] theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ := iSup_congr_Prop pq f #align set.Union_congr_Prop Set.iUnion_congr_Prop @[congr] theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ := iInf_congr_Prop pq f #align set.Inter_congr_Prop Set.iInter_congr_Prop theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i := iSup_plift_up _ #align set.Union_plift_up Set.iUnion_plift_up theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i := iSup_plift_down _ #align set.Union_plift_down Set.iUnion_plift_down theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i := iInf_plift_up _ #align set.Inter_plift_up Set.iInter_plift_up theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i := iInf_plift_down _ #align set.Inter_plift_down Set.iInter_plift_down theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ := iSup_eq_if _ #align set.Union_eq_if Set.iUnion_eq_if theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋃ h : p, s h = if h : p then s h else ∅ := iSup_eq_dif _ #align set.Union_eq_dif Set.iUnion_eq_dif theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ := iInf_eq_if _ #align set.Inter_eq_if Set.iInter_eq_if theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋂ h : p, s h = if h : p then s h else univ := _root_.iInf_eq_dif _ #align set.Infi_eq_dif Set.iInf_eq_dif theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β) (w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by have p : x ∈ ⊤ := Set.mem_univ x rw [← w, Set.mem_iUnion] at p simpa using p #align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α) (H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some exact ⟨x, m⟩ #align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty theorem nonempty_of_nonempty_iUnion {s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by obtain ⟨x, hx⟩ := h_Union exact ⟨Classical.choose <| mem_iUnion.mp hx⟩ theorem nonempty_of_nonempty_iUnion_eq_univ {s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι := nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty) theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } := ext fun _ => mem_iUnion.symm #align set.set_of_exists Set.setOf_exists theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } := ext fun _ => mem_iInter.symm #align set.set_of_forall Set.setOf_forall theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t := iSup_le h #align set.Union_subset Set.iUnion_subset theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) : ⋃ (i) (j), s i j ⊆ t := iUnion_subset fun x => iUnion_subset (h x) #align set.Union₂_subset Set.iUnion₂_subset theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i := le_iInf h #align set.subset_Inter Set.subset_iInter theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ (i) (j), t i j := subset_iInter fun x => subset_iInter <| h x #align set.subset_Inter₂ Set.subset_iInter₂ @[simp] theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t := ⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩ #align set.Union_subset_iff Set.iUnion_subset_iff theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} : ⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff] #align set.Union₂_subset_iff Set.iUnion₂_subset_iff @[simp] theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i := le_iInf_iff #align set.subset_Inter_iff Set.subset_iInter_iff -- Porting note (#10618): removing `simp`. `simp` can prove it theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} : (s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff] #align set.subset_Inter₂_iff Set.subset_iInter₂_iff theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i := le_iSup #align set.subset_Union Set.subset_iUnion theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i := iInf_le #align set.Inter_subset Set.iInter_subset theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' := le_iSup₂ i j #align set.subset_Union₂ Set.subset_iUnion₂ theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j := iInf₂_le i j #align set.Inter₂_subset Set.iInter₂_subset theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i := le_iSup_of_le i h #align set.subset_Union_of_subset Set.subset_iUnion_of_subset theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) : ⋂ i, s i ⊆ t := iInf_le_of_le i h #align set.Inter_subset_of_subset Set.iInter_subset_of_subset theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i) (h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j := le_iSup₂_of_le i j h #align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i) (h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t := iInf₂_le_of_le i j h #align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono h #align set.Union_mono Set.iUnion_mono @[gcongr] theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t := iSup_mono h theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j := iSup₂_mono h #align set.Union₂_mono Set.iUnion₂_mono theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i := iInf_mono h #align set.Inter_mono Set.iInter_mono @[gcongr] theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t := iInf_mono h theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j := iInf₂_mono h #align set.Inter₂_mono Set.iInter₂_mono theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono' h #align set.Union_mono' Set.iUnion_mono' theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' := iSup₂_mono' h #align set.Union₂_mono' Set.iUnion₂_mono' theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) : ⋂ i, s i ⊆ ⋂ j, t j := Set.subset_iInter fun j => let ⟨i, hi⟩ := h j iInter_subset_of_subset i hi #align set.Inter_mono' Set.iInter_mono' theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' := subset_iInter₂_iff.2 fun i' j' => let ⟨_, _, hst⟩ := h i' j' (iInter₂_subset _ _).trans hst #align set.Inter₂_mono' Set.iInter₂_mono' theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) : ⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i := iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl #align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) : ⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i := iInter_mono fun _ => subset_iInter fun _ => Subset.rfl #align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂ theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by ext exact mem_iUnion #align set.Union_set_of Set.iUnion_setOf theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by ext exact mem_iInter #align set.Inter_set_of Set.iInter_setOf theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y := h1.iSup_congr h h2 #align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y := h1.iInf_congr h h2 #align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h #align set.Union_congr Set.iUnion_congr lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h #align set.Inter_congr Set.iInter_congr lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋃ (i) (j), s i j = ⋃ (i) (j), t i j := iUnion_congr fun i => iUnion_congr <| h i #align set.Union₂_congr Set.iUnion₂_congr lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋂ (i) (j), s i j = ⋂ (i) (j), t i j := iInter_congr fun i => iInter_congr <| h i #align set.Inter₂_congr Set.iInter₂_congr @[simp] theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ := compl_iSup #align set.compl_Union Set.compl_iUnion theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by simp_rw [compl_iUnion] #align set.compl_Union₂ Set.compl_iUnion₂ @[simp] theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ := compl_iInf #align set.compl_Inter Set.compl_iInter theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by simp_rw [compl_iInter] #align set.compl_Inter₂ Set.compl_iInter₂ -- classical -- complete_boolean_algebra theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by simp only [compl_iInter, compl_compl] #align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl -- classical -- complete_boolean_algebra theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by simp only [compl_iUnion, compl_compl] #align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i := inf_iSup_eq _ _ #align set.inter_Union Set.inter_iUnion theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s := iSup_inf_eq _ _ #align set.Union_inter Set.iUnion_inter theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) : ⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i := iSup_sup_eq #align set.Union_union_distrib Set.iUnion_union_distrib theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) : ⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i := iInf_inf_eq #align set.Inter_inter_distrib Set.iInter_inter_distrib theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i := sup_iSup #align set.union_Union Set.union_iUnion theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s := iSup_sup #align set.Union_union Set.iUnion_union theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i := inf_iInf #align set.inter_Inter Set.inter_iInter theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s := iInf_inf #align set.Inter_inter Set.iInter_inter -- classical theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i := sup_iInf_eq _ _ #align set.union_Inter Set.union_iInter theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.Inter_union Set.iInter_union theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s := iUnion_inter _ _ #align set.Union_diff Set.iUnion_diff theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by rw [diff_eq, compl_iUnion, inter_iInter]; rfl #align set.diff_Union Set.diff_iUnion theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by rw [diff_eq, compl_iInter, inter_iUnion]; rfl #align set.diff_Inter Set.diff_iInter theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i := le_iSup_inf_iSup s t #align set.Union_inter_subset Set.iUnion_inter_subset theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_monotone hs ht #align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_antitone hs ht #align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_monotone hs ht #align set.Inter_union_of_monotone Set.iInter_union_of_monotone theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_antitone hs ht #align set.Inter_union_of_antitone Set.iInter_union_of_antitone theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j := iSup_iInf_le_iInf_iSup (flip s) #align set.Union_Inter_subset Set.iUnion_iInter_subset theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) := iSup_option s #align set.Union_option Set.iUnion_option theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) := iInf_option s #align set.Inter_option Set.iInter_option section variable (p : ι → Prop) [DecidablePred p] theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h := iSup_dite _ _ _ #align set.Union_dite Set.iUnion_dite theorem iUnion_ite (f g : ι → Set α) : ⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i := iUnion_dite _ _ _ #align set.Union_ite Set.iUnion_ite theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h := iInf_dite _ _ _ #align set.Inter_dite Set.iInter_dite theorem iInter_ite (f g : ι → Set α) : ⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i := iInter_dite _ _ _ #align set.Inter_ite Set.iInter_ite end theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)} (hv : (pi univ v).Nonempty) (i : ι) : ((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by classical apply Subset.antisymm · simp [iInter_subset] · intro y y_in simp only [mem_image, mem_iInter, mem_preimage] rcases hv with ⟨z, hz⟩ refine ⟨Function.update z i y, ?_, update_same i y z⟩ rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i] exact ⟨y_in, fun j _ => by simpa using hz j⟩ #align set.image_projection_prod Set.image_projection_prod theorem iInter_false {s : False → Set α} : iInter s = univ := iInf_false #align set.Inter_false Set.iInter_false theorem iUnion_false {s : False → Set α} : iUnion s = ∅ := iSup_false #align set.Union_false Set.iUnion_false @[simp] theorem iInter_true {s : True → Set α} : iInter s = s trivial := iInf_true #align set.Inter_true Set.iInter_true @[simp] theorem iUnion_true {s : True → Set α} : iUnion s = s trivial := iSup_true #align set.Union_true Set.iUnion_true @[simp] theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} : ⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ := iInf_exists #align set.Inter_exists Set.iInter_exists @[simp] theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} : ⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ := iSup_exists #align set.Union_exists Set.iUnion_exists @[simp] theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ := iSup_bot #align set.Union_empty Set.iUnion_empty @[simp] theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ := iInf_top #align set.Inter_univ Set.iInter_univ section variable {s : ι → Set α} @[simp] theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ := iSup_eq_bot #align set.Union_eq_empty Set.iUnion_eq_empty @[simp] theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ := iInf_eq_top #align set.Inter_eq_univ Set.iInter_eq_univ @[simp] theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by simp [nonempty_iff_ne_empty] #align set.nonempty_Union Set.nonempty_iUnion -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_biUnion {t : Set α} {s : α → Set β} : (⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp #align set.nonempty_bUnion Set.nonempty_biUnion theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) : ⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ := iSup_exists #align set.Union_nonempty_index Set.iUnion_nonempty_index end @[simp] theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋂ (x) (h : x = b), s x h = s b rfl := iInf_iInf_eq_left #align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left @[simp] theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋂ (x) (h : b = x), s x h = s b rfl := iInf_iInf_eq_right #align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right @[simp] theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋃ (x) (h : x = b), s x h = s b rfl := iSup_iSup_eq_left #align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left @[simp] theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋃ (x) (h : b = x), s x h = s b rfl := iSup_iSup_eq_right #align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) : ⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) := iInf_or #align set.Inter_or Set.iInter_or theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) : ⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) := iSup_or #align set.Union_or Set.iUnion_or theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ := iSup_and #align set.Union_and Set.iUnion_and theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ := iInf_and #align set.Inter_and Set.iInter_and theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' := iSup_comm #align set.Union_comm Set.iUnion_comm theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' := iInf_comm #align set.Inter_comm Set.iInter_comm theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ := iSup_sigma theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 := iSup_sigma' _ theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ := iInf_sigma theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 := iInf_sigma' _ theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iSup₂_comm _ #align set.Union₂_comm Set.iUnion₂_comm theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iInf₂_comm _ #align set.Inter₂_comm Set.iInter₂_comm @[simp] theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iUnion_and, @iUnion_comm _ ι'] #align set.bUnion_and Set.biUnion_and @[simp] theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iUnion_and, @iUnion_comm _ ι] #align set.bUnion_and' Set.biUnion_and' @[simp] theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iInter_and, @iInter_comm _ ι'] #align set.bInter_and Set.biInter_and @[simp] theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iInter_and, @iInter_comm _ ι] #align set.bInter_and' Set.biInter_and' @[simp] theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left] #align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left @[simp] theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left] #align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) : y ∈ ⋃ x ∈ s, t x := mem_iUnion₂_of_mem xs ytx #align set.mem_bUnion Set.mem_biUnion theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) : y ∈ ⋂ x ∈ s, t x := mem_iInter₂_of_mem h #align set.mem_bInter Set.mem_biInter theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) : u x ⊆ ⋃ x ∈ s, u x := -- Porting note: Why is this not just `subset_iUnion₂ x xs`? @subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs #align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) : ⋂ x ∈ s, t x ⊆ t x := iInter₂_subset x xs #align set.bInter_subset_of_mem Set.biInter_subset_of_mem theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') : ⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x := iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx #align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) : ⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x := subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx #align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) : ⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x := (biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h #align set.bUnion_mono Set.biUnion_mono theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) : ⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x := (biInter_subset_biInter_left hs).trans <| iInter₂_mono h #align set.bInter_mono Set.biInter_mono theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) : ⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 := iSup_subtype' #align set.bUnion_eq_Union Set.biUnion_eq_iUnion theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) : ⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 := iInf_subtype' #align set.bInter_eq_Inter Set.biInter_eq_iInter theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ := iSup_subtype #align set.Union_subtype Set.iUnion_subtype theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ := iInf_subtype #align set.Inter_subtype Set.iInter_subtype theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ := iInf_emptyset #align set.bInter_empty Set.biInter_empty theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x := iInf_univ #align set.bInter_univ Set.biInter_univ @[simp] theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s := Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx #align set.bUnion_self Set.biUnion_self @[simp] theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by rw [iUnion_nonempty_index, biUnion_self] #align set.Union_nonempty_self Set.iUnion_nonempty_self theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a := iInf_singleton #align set.bInter_singleton Set.biInter_singleton theorem biInter_union (s t : Set α) (u : α → Set β) : ⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x := iInf_union #align set.bInter_union Set.biInter_union theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) : ⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp #align set.bInter_insert Set.biInter_insert theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by rw [biInter_insert, biInter_singleton] #align set.bInter_pair Set.biInter_pair theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by haveI : Nonempty s := hs.to_subtype simp [biInter_eq_iInter, ← iInter_inter] #align set.bInter_inter Set.biInter_inter theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by rw [inter_comm, ← biInter_inter hs] simp [inter_comm] #align set.inter_bInter Set.inter_biInter theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ := iSup_emptyset #align set.bUnion_empty Set.biUnion_empty theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x := iSup_univ #align set.bUnion_univ Set.biUnion_univ theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a := iSup_singleton #align set.bUnion_singleton Set.biUnion_singleton @[simp] theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s := ext <| by simp #align set.bUnion_of_singleton Set.biUnion_of_singleton theorem biUnion_union (s t : Set α) (u : α → Set β) : ⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x := iSup_union #align set.bUnion_union Set.biUnion_union @[simp] theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iUnion_subtype _ _ #align set.Union_coe_set Set.iUnion_coe_set @[simp] theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iInter_subtype _ _ #align set.Inter_coe_set Set.iInter_coe_set theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) : ⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp #align set.bUnion_insert Set.biUnion_insert theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by simp #align set.bUnion_pair Set.biUnion_pair theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion] #align set.inter_Union₂ Set.inter_iUnion₂ theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) : (⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter] #align set.Union₂_inter Set.iUnion₂_inter theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_iInter] #align set.union_Inter₂ Set.union_iInter₂ theorem iInter₂_union (s : ∀ i, κ i → Set α) (t : Set α) : (⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [iInter_union] #align set.Inter₂_union Set.iInter₂_union theorem mem_sUnion_of_mem {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∈ t) (ht : t ∈ S) : x ∈ ⋃₀S := ⟨t, ht, hx⟩ #align set.mem_sUnion_of_mem Set.mem_sUnion_of_mem -- is this theorem really necessary? theorem not_mem_of_not_mem_sUnion {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∉ ⋃₀S) (ht : t ∈ S) : x ∉ t := fun h => hx ⟨t, ht, h⟩ #align set.not_mem_of_not_mem_sUnion Set.not_mem_of_not_mem_sUnion theorem sInter_subset_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : ⋂₀ S ⊆ t := sInf_le tS #align set.sInter_subset_of_mem Set.sInter_subset_of_mem theorem subset_sUnion_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : t ⊆ ⋃₀S := le_sSup tS #align set.subset_sUnion_of_mem Set.subset_sUnion_of_mem theorem subset_sUnion_of_subset {s : Set α} (t : Set (Set α)) (u : Set α) (h₁ : s ⊆ u) (h₂ : u ∈ t) : s ⊆ ⋃₀t := Subset.trans h₁ (subset_sUnion_of_mem h₂) #align set.subset_sUnion_of_subset Set.subset_sUnion_of_subset theorem sUnion_subset {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t' ⊆ t) : ⋃₀S ⊆ t := sSup_le h #align set.sUnion_subset Set.sUnion_subset @[simp] theorem sUnion_subset_iff {s : Set (Set α)} {t : Set α} : ⋃₀s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t := sSup_le_iff #align set.sUnion_subset_iff Set.sUnion_subset_iff lemma sUnion_mono_subsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, t ⊆ f t) : ⋃₀ s ⊆ ⋃₀ (f '' s) := fun _ ⟨t, htx, hxt⟩ ↦ ⟨f t, mem_image_of_mem f htx, hf t hxt⟩ lemma sUnion_mono_supsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, f t ⊆ t) : ⋃₀ (f '' s) ⊆ ⋃₀ s := -- If t ∈ f '' s is arbitrary; t = f u for some u : Set α. fun _ ⟨_, ⟨u, hus, hut⟩, hxt⟩ ↦ ⟨u, hus, (hut ▸ hf u) hxt⟩ theorem subset_sInter {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ ⋂₀ S := le_sInf h #align set.subset_sInter Set.subset_sInter @[simp] theorem subset_sInter_iff {S : Set (Set α)} {t : Set α} : t ⊆ ⋂₀ S ↔ ∀ t' ∈ S, t ⊆ t' := le_sInf_iff #align set.subset_sInter_iff Set.subset_sInter_iff @[gcongr] theorem sUnion_subset_sUnion {S T : Set (Set α)} (h : S ⊆ T) : ⋃₀S ⊆ ⋃₀T := sUnion_subset fun _ hs => subset_sUnion_of_mem (h hs) #align set.sUnion_subset_sUnion Set.sUnion_subset_sUnion @[gcongr] theorem sInter_subset_sInter {S T : Set (Set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S := subset_sInter fun _ hs => sInter_subset_of_mem (h hs) #align set.sInter_subset_sInter Set.sInter_subset_sInter @[simp] theorem sUnion_empty : ⋃₀∅ = (∅ : Set α) := sSup_empty #align set.sUnion_empty Set.sUnion_empty @[simp] theorem sInter_empty : ⋂₀ ∅ = (univ : Set α) := sInf_empty #align set.sInter_empty Set.sInter_empty @[simp] theorem sUnion_singleton (s : Set α) : ⋃₀{s} = s := sSup_singleton #align set.sUnion_singleton Set.sUnion_singleton @[simp] theorem sInter_singleton (s : Set α) : ⋂₀ {s} = s := sInf_singleton #align set.sInter_singleton Set.sInter_singleton @[simp] theorem sUnion_eq_empty {S : Set (Set α)} : ⋃₀S = ∅ ↔ ∀ s ∈ S, s = ∅ := sSup_eq_bot #align set.sUnion_eq_empty Set.sUnion_eq_empty @[simp] theorem sInter_eq_univ {S : Set (Set α)} : ⋂₀ S = univ ↔ ∀ s ∈ S, s = univ := sInf_eq_top #align set.sInter_eq_univ Set.sInter_eq_univ theorem subset_powerset_iff {s : Set (Set α)} {t : Set α} : s ⊆ 𝒫 t ↔ ⋃₀ s ⊆ t := sUnion_subset_iff.symm theorem sUnion_powerset_gc : GaloisConnection (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gc_sSup_Iic def sUnion_powerset_gi : GaloisInsertion (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gi_sSup_Iic theorem sUnion_mem_empty_univ {S : Set (Set α)} (h : S ⊆ {∅, univ}) : ⋃₀ S ∈ ({∅, univ} : Set (Set α)) := by simp only [mem_insert_iff, mem_singleton_iff, or_iff_not_imp_left, sUnion_eq_empty, not_forall] rintro ⟨s, hs, hne⟩ obtain rfl : s = univ := (h hs).resolve_left hne exact univ_subset_iff.1 <| subset_sUnion_of_mem hs @[simp] theorem nonempty_sUnion {S : Set (Set α)} : (⋃₀S).Nonempty ↔ ∃ s ∈ S, Set.Nonempty s := by simp [nonempty_iff_ne_empty] #align set.nonempty_sUnion Set.nonempty_sUnion theorem Nonempty.of_sUnion {s : Set (Set α)} (h : (⋃₀s).Nonempty) : s.Nonempty := let ⟨s, hs, _⟩ := nonempty_sUnion.1 h ⟨s, hs⟩ #align set.nonempty.of_sUnion Set.Nonempty.of_sUnion theorem Nonempty.of_sUnion_eq_univ [Nonempty α] {s : Set (Set α)} (h : ⋃₀s = univ) : s.Nonempty := Nonempty.of_sUnion <| h.symm ▸ univ_nonempty #align set.nonempty.of_sUnion_eq_univ Set.Nonempty.of_sUnion_eq_univ theorem sUnion_union (S T : Set (Set α)) : ⋃₀(S ∪ T) = ⋃₀S ∪ ⋃₀T := sSup_union #align set.sUnion_union Set.sUnion_union theorem sInter_union (S T : Set (Set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T := sInf_union #align set.sInter_union Set.sInter_union @[simp] theorem sUnion_insert (s : Set α) (T : Set (Set α)) : ⋃₀insert s T = s ∪ ⋃₀T := sSup_insert #align set.sUnion_insert Set.sUnion_insert @[simp] theorem sInter_insert (s : Set α) (T : Set (Set α)) : ⋂₀ insert s T = s ∩ ⋂₀ T := sInf_insert #align set.sInter_insert Set.sInter_insert @[simp] theorem sUnion_diff_singleton_empty (s : Set (Set α)) : ⋃₀(s \ {∅}) = ⋃₀s := sSup_diff_singleton_bot s #align set.sUnion_diff_singleton_empty Set.sUnion_diff_singleton_empty @[simp] theorem sInter_diff_singleton_univ (s : Set (Set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s := sInf_diff_singleton_top s #align set.sInter_diff_singleton_univ Set.sInter_diff_singleton_univ theorem sUnion_pair (s t : Set α) : ⋃₀{s, t} = s ∪ t := sSup_pair #align set.sUnion_pair Set.sUnion_pair theorem sInter_pair (s t : Set α) : ⋂₀ {s, t} = s ∩ t := sInf_pair #align set.sInter_pair Set.sInter_pair @[simp] theorem sUnion_image (f : α → Set β) (s : Set α) : ⋃₀(f '' s) = ⋃ x ∈ s, f x := sSup_image #align set.sUnion_image Set.sUnion_image @[simp] theorem sInter_image (f : α → Set β) (s : Set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x := sInf_image #align set.sInter_image Set.sInter_image @[simp] theorem sUnion_range (f : ι → Set β) : ⋃₀range f = ⋃ x, f x := rfl #align set.sUnion_range Set.sUnion_range @[simp] theorem sInter_range (f : ι → Set β) : ⋂₀ range f = ⋂ x, f x := rfl #align set.sInter_range Set.sInter_range theorem iUnion_eq_univ_iff {f : ι → Set α} : ⋃ i, f i = univ ↔ ∀ x, ∃ i, x ∈ f i := by simp only [eq_univ_iff_forall, mem_iUnion] #align set.Union_eq_univ_iff Set.iUnion_eq_univ_iff theorem iUnion₂_eq_univ_iff {s : ∀ i, κ i → Set α} : ⋃ (i) (j), s i j = univ ↔ ∀ a, ∃ i j, a ∈ s i j := by simp only [iUnion_eq_univ_iff, mem_iUnion] #align set.Union₂_eq_univ_iff Set.iUnion₂_eq_univ_iff theorem sUnion_eq_univ_iff {c : Set (Set α)} : ⋃₀c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b := by simp only [eq_univ_iff_forall, mem_sUnion] #align set.sUnion_eq_univ_iff Set.sUnion_eq_univ_iff -- classical theorem iInter_eq_empty_iff {f : ι → Set α} : ⋂ i, f i = ∅ ↔ ∀ x, ∃ i, x ∉ f i := by simp [Set.eq_empty_iff_forall_not_mem] #align set.Inter_eq_empty_iff Set.iInter_eq_empty_iff -- classical theorem iInter₂_eq_empty_iff {s : ∀ i, κ i → Set α} : ⋂ (i) (j), s i j = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j := by simp only [eq_empty_iff_forall_not_mem, mem_iInter, not_forall] #align set.Inter₂_eq_empty_iff Set.iInter₂_eq_empty_iff -- classical theorem sInter_eq_empty_iff {c : Set (Set α)} : ⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b := by simp [Set.eq_empty_iff_forall_not_mem] #align set.sInter_eq_empty_iff Set.sInter_eq_empty_iff -- classical @[simp] theorem nonempty_iInter {f : ι → Set α} : (⋂ i, f i).Nonempty ↔ ∃ x, ∀ i, x ∈ f i := by simp [nonempty_iff_ne_empty, iInter_eq_empty_iff] #align set.nonempty_Inter Set.nonempty_iInter -- classical -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_iInter₂ {s : ∀ i, κ i → Set α} : (⋂ (i) (j), s i j).Nonempty ↔ ∃ a, ∀ i j, a ∈ s i j := by simp #align set.nonempty_Inter₂ Set.nonempty_iInter₂ -- classical @[simp] theorem nonempty_sInter {c : Set (Set α)} : (⋂₀ c).Nonempty ↔ ∃ a, ∀ b ∈ c, a ∈ b := by simp [nonempty_iff_ne_empty, sInter_eq_empty_iff] #align set.nonempty_sInter Set.nonempty_sInter -- classical theorem compl_sUnion (S : Set (Set α)) : (⋃₀S)ᶜ = ⋂₀ (compl '' S) := ext fun x => by simp #align set.compl_sUnion Set.compl_sUnion -- classical theorem sUnion_eq_compl_sInter_compl (S : Set (Set α)) : ⋃₀S = (⋂₀ (compl '' S))ᶜ := by rw [← compl_compl (⋃₀S), compl_sUnion] #align set.sUnion_eq_compl_sInter_compl Set.sUnion_eq_compl_sInter_compl -- classical theorem compl_sInter (S : Set (Set α)) : (⋂₀ S)ᶜ = ⋃₀(compl '' S) := by rw [sUnion_eq_compl_sInter_compl, compl_compl_image] #align set.compl_sInter Set.compl_sInter -- classical theorem sInter_eq_compl_sUnion_compl (S : Set (Set α)) : ⋂₀ S = (⋃₀(compl '' S))ᶜ := by rw [← compl_compl (⋂₀ S), compl_sInter] #align set.sInter_eq_compl_sUnion_compl Set.sInter_eq_compl_sUnion_compl theorem inter_empty_of_inter_sUnion_empty {s t : Set α} {S : Set (Set α)} (hs : t ∈ S) (h : s ∩ ⋃₀S = ∅) : s ∩ t = ∅ := eq_empty_of_subset_empty <| by rw [← h]; exact inter_subset_inter_right _ (subset_sUnion_of_mem hs) #align set.inter_empty_of_inter_sUnion_empty Set.inter_empty_of_inter_sUnion_empty theorem range_sigma_eq_iUnion_range {γ : α → Type*} (f : Sigma γ → β) : range f = ⋃ a, range fun b => f ⟨a, b⟩ := Set.ext <| by simp #align set.range_sigma_eq_Union_range Set.range_sigma_eq_iUnion_range theorem iUnion_eq_range_sigma (s : α → Set β) : ⋃ i, s i = range fun a : Σi, s i => a.2 := by simp [Set.ext_iff] #align set.Union_eq_range_sigma Set.iUnion_eq_range_sigma theorem iUnion_eq_range_psigma (s : ι → Set β) : ⋃ i, s i = range fun a : Σ'i, s i => a.2 := by simp [Set.ext_iff] #align set.Union_eq_range_psigma Set.iUnion_eq_range_psigma theorem iUnion_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : Set (Sigma σ)) : ⋃ i, Sigma.mk i '' (Sigma.mk i ⁻¹' s) = s := by ext x simp only [mem_iUnion, mem_image, mem_preimage] constructor · rintro ⟨i, a, h, rfl⟩ exact h · intro h cases' x with i a exact ⟨i, a, h, rfl⟩ #align set.Union_image_preimage_sigma_mk_eq_self Set.iUnion_image_preimage_sigma_mk_eq_self theorem Sigma.univ (X : α → Type*) : (Set.univ : Set (Σa, X a)) = ⋃ a, range (Sigma.mk a) := Set.ext fun x => iff_of_true trivial ⟨range (Sigma.mk x.1), Set.mem_range_self _, x.2, Sigma.eta x⟩ #align set.sigma.univ Set.Sigma.univ alias sUnion_mono := sUnion_subset_sUnion #align set.sUnion_mono Set.sUnion_mono theorem iUnion_subset_iUnion_const {s : Set α} (h : ι → ι₂) : ⋃ _ : ι, s ⊆ ⋃ _ : ι₂, s := iSup_const_mono (α := Set α) h #align set.Union_subset_Union_const Set.iUnion_subset_iUnion_const @[simp] theorem iUnion_singleton_eq_range {α β : Type*} (f : α → β) : ⋃ x : α, {f x} = range f := by ext x simp [@eq_comm _ x] #align set.Union_singleton_eq_range Set.iUnion_singleton_eq_range theorem iUnion_of_singleton (α : Type*) : (⋃ x, {x} : Set α) = univ := by simp [Set.ext_iff] #align set.Union_of_singleton Set.iUnion_of_singleton theorem iUnion_of_singleton_coe (s : Set α) : ⋃ i : s, ({(i : α)} : Set α) = s := by simp #align set.Union_of_singleton_coe Set.iUnion_of_singleton_coe theorem sUnion_eq_biUnion {s : Set (Set α)} : ⋃₀s = ⋃ (i : Set α) (_ : i ∈ s), i := by rw [← sUnion_image, image_id'] #align set.sUnion_eq_bUnion Set.sUnion_eq_biUnion theorem sInter_eq_biInter {s : Set (Set α)} : ⋂₀ s = ⋂ (i : Set α) (_ : i ∈ s), i := by rw [← sInter_image, image_id'] #align set.sInter_eq_bInter Set.sInter_eq_biInter theorem sUnion_eq_iUnion {s : Set (Set α)} : ⋃₀s = ⋃ i : s, i := by simp only [← sUnion_range, Subtype.range_coe] #align set.sUnion_eq_Union Set.sUnion_eq_iUnion theorem sInter_eq_iInter {s : Set (Set α)} : ⋂₀ s = ⋂ i : s, i := by simp only [← sInter_range, Subtype.range_coe] #align set.sInter_eq_Inter Set.sInter_eq_iInter @[simp] theorem iUnion_of_empty [IsEmpty ι] (s : ι → Set α) : ⋃ i, s i = ∅ := iSup_of_empty _ #align set.Union_of_empty Set.iUnion_of_empty @[simp] theorem iInter_of_empty [IsEmpty ι] (s : ι → Set α) : ⋂ i, s i = univ := iInf_of_empty _ #align set.Inter_of_empty Set.iInter_of_empty theorem union_eq_iUnion {s₁ s₂ : Set α} : s₁ ∪ s₂ = ⋃ b : Bool, cond b s₁ s₂ := sup_eq_iSup s₁ s₂ #align set.union_eq_Union Set.union_eq_iUnion theorem inter_eq_iInter {s₁ s₂ : Set α} : s₁ ∩ s₂ = ⋂ b : Bool, cond b s₁ s₂ := inf_eq_iInf s₁ s₂ #align set.inter_eq_Inter Set.inter_eq_iInter theorem sInter_union_sInter {S T : Set (Set α)} : ⋂₀ S ∪ ⋂₀ T = ⋂ p ∈ S ×ˢ T, (p : Set α × Set α).1 ∪ p.2 := sInf_sup_sInf #align set.sInter_union_sInter Set.sInter_union_sInter theorem sUnion_inter_sUnion {s t : Set (Set α)} : ⋃₀s ∩ ⋃₀t = ⋃ p ∈ s ×ˢ t, (p : Set α × Set α).1 ∩ p.2 := sSup_inf_sSup #align set.sUnion_inter_sUnion Set.sUnion_inter_sUnion theorem biUnion_iUnion (s : ι → Set α) (t : α → Set β) : ⋃ x ∈ ⋃ i, s i, t x = ⋃ (i) (x ∈ s i), t x := by simp [@iUnion_comm _ ι] #align set.bUnion_Union Set.biUnion_iUnion theorem biInter_iUnion (s : ι → Set α) (t : α → Set β) : ⋂ x ∈ ⋃ i, s i, t x = ⋂ (i) (x ∈ s i), t x := by simp [@iInter_comm _ ι] #align set.bInter_Union Set.biInter_iUnion theorem sUnion_iUnion (s : ι → Set (Set α)) : ⋃₀⋃ i, s i = ⋃ i, ⋃₀s i := by simp only [sUnion_eq_biUnion, biUnion_iUnion] #align set.sUnion_Union Set.sUnion_iUnion theorem sInter_iUnion (s : ι → Set (Set α)) : ⋂₀ ⋃ i, s i = ⋂ i, ⋂₀ s i := by simp only [sInter_eq_biInter, biInter_iUnion] #align set.sInter_Union Set.sInter_iUnion theorem iUnion_range_eq_sUnion {α β : Type*} (C : Set (Set α)) {f : ∀ s : C, β → (s : Type _)} (hf : ∀ s : C, Surjective (f s)) : ⋃ y : β, range (fun s : C => (f s y).val) = ⋃₀C := by ext x; constructor · rintro ⟨s, ⟨y, rfl⟩, ⟨s, hs⟩, rfl⟩ refine ⟨_, hs, ?_⟩ exact (f ⟨s, hs⟩ y).2 · rintro ⟨s, hs, hx⟩ cases' hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy refine ⟨_, ⟨y, rfl⟩, ⟨s, hs⟩, ?_⟩ exact congr_arg Subtype.val hy #align set.Union_range_eq_sUnion Set.iUnion_range_eq_sUnion theorem iUnion_range_eq_iUnion (C : ι → Set α) {f : ∀ x : ι, β → C x} (hf : ∀ x : ι, Surjective (f x)) : ⋃ y : β, range (fun x : ι => (f x y).val) = ⋃ x, C x := by ext x; rw [mem_iUnion, mem_iUnion]; constructor · rintro ⟨y, i, rfl⟩ exact ⟨i, (f i y).2⟩ · rintro ⟨i, hx⟩ cases' hf i ⟨x, hx⟩ with y hy exact ⟨y, i, congr_arg Subtype.val hy⟩ #align set.Union_range_eq_Union Set.iUnion_range_eq_iUnion theorem union_distrib_iInter_left (s : ι → Set α) (t : Set α) : (t ∪ ⋂ i, s i) = ⋂ i, t ∪ s i := sup_iInf_eq _ _ #align set.union_distrib_Inter_left Set.union_distrib_iInter_left theorem union_distrib_iInter₂_left (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_distrib_iInter_left] #align set.union_distrib_Inter₂_left Set.union_distrib_iInter₂_left theorem union_distrib_iInter_right (s : ι → Set α) (t : Set α) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.union_distrib_Inter_right Set.union_distrib_iInter_right theorem union_distrib_iInter₂_right (s : ∀ i, κ i → Set α) (t : Set α) : (⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [union_distrib_iInter_right] #align set.union_distrib_Inter₂_right Set.union_distrib_iInter₂_right namespace Function namespace Set variable (t : α → Set β)
Mathlib/Data/Set/Lattice.lean
2,163
2,168
theorem biUnion_diff_biUnion_subset (s₁ s₂ : Set α) : ((⋃ x ∈ s₁, t x) \ ⋃ x ∈ s₂, t x) ⊆ ⋃ x ∈ s₁ \ s₂, t x := by
simp only [diff_subset_iff, ← biUnion_union] apply biUnion_subset_biUnion_left rw [union_diff_self] apply subset_union_right
import Mathlib.Data.Bundle import Mathlib.Data.Set.Image import Mathlib.Topology.PartialHomeomorph import Mathlib.Topology.Order.Basic #align_import topology.fiber_bundle.trivialization from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" open TopologicalSpace Filter Set Bundle Function open scoped Topology Classical Bundle variable {ι : Type*} {B : Type*} {F : Type*} {E : B → Type*} variable (F) {Z : Type*} [TopologicalSpace B] [TopologicalSpace F] {proj : Z → B} structure Pretrivialization (proj : Z → B) extends PartialEquiv Z (B × F) where open_target : IsOpen target baseSet : Set B open_baseSet : IsOpen baseSet source_eq : source = proj ⁻¹' baseSet target_eq : target = baseSet ×ˢ univ proj_toFun : ∀ p ∈ source, (toFun p).1 = proj p #align pretrivialization Pretrivialization namespace Pretrivialization variable {F} variable (e : Pretrivialization F proj) {x : Z} @[coe] def toFun' : Z → (B × F) := e.toFun instance : CoeFun (Pretrivialization F proj) fun _ => Z → B × F := ⟨toFun'⟩ @[ext] lemma ext' (e e' : Pretrivialization F proj) (h₁ : e.toPartialEquiv = e'.toPartialEquiv) (h₂ : e.baseSet = e'.baseSet) : e = e' := by cases e; cases e'; congr #align pretrivialization.ext Pretrivialization.ext' -- Porting note (#11215): TODO: move `ext` here? lemma ext {e e' : Pretrivialization F proj} (h₁ : ∀ x, e x = e' x) (h₂ : ∀ x, e.toPartialEquiv.symm x = e'.toPartialEquiv.symm x) (h₃ : e.baseSet = e'.baseSet) : e = e' := by ext1 <;> [ext1; exact h₃] · apply h₁ · apply h₂ · rw [e.source_eq, e'.source_eq, h₃] lemma toPartialEquiv_injective [Nonempty F] : Injective (toPartialEquiv : Pretrivialization F proj → PartialEquiv Z (B × F)) := by refine fun e e' h ↦ ext' _ _ h ?_ simpa only [fst_image_prod, univ_nonempty, target_eq] using congr_arg (Prod.fst '' PartialEquiv.target ·) h @[simp, mfld_simps] theorem coe_coe : ⇑e.toPartialEquiv = e := rfl #align pretrivialization.coe_coe Pretrivialization.coe_coe @[simp, mfld_simps] theorem coe_fst (ex : x ∈ e.source) : (e x).1 = proj x := e.proj_toFun x ex #align pretrivialization.coe_fst Pretrivialization.coe_fst theorem mem_source : x ∈ e.source ↔ proj x ∈ e.baseSet := by rw [e.source_eq, mem_preimage] #align pretrivialization.mem_source Pretrivialization.mem_source theorem coe_fst' (ex : proj x ∈ e.baseSet) : (e x).1 = proj x := e.coe_fst (e.mem_source.2 ex) #align pretrivialization.coe_fst' Pretrivialization.coe_fst' protected theorem eqOn : EqOn (Prod.fst ∘ e) proj e.source := fun _ hx => e.coe_fst hx #align pretrivialization.eq_on Pretrivialization.eqOn theorem mk_proj_snd (ex : x ∈ e.source) : (proj x, (e x).2) = e x := Prod.ext (e.coe_fst ex).symm rfl #align pretrivialization.mk_proj_snd Pretrivialization.mk_proj_snd theorem mk_proj_snd' (ex : proj x ∈ e.baseSet) : (proj x, (e x).2) = e x := Prod.ext (e.coe_fst' ex).symm rfl #align pretrivialization.mk_proj_snd' Pretrivialization.mk_proj_snd' def setSymm : e.target → Z := e.target.restrict e.toPartialEquiv.symm #align pretrivialization.set_symm Pretrivialization.setSymm theorem mem_target {x : B × F} : x ∈ e.target ↔ x.1 ∈ e.baseSet := by rw [e.target_eq, prod_univ, mem_preimage] #align pretrivialization.mem_target Pretrivialization.mem_target theorem proj_symm_apply {x : B × F} (hx : x ∈ e.target) : proj (e.toPartialEquiv.symm x) = x.1 := by have := (e.coe_fst (e.map_target hx)).symm rwa [← e.coe_coe, e.right_inv hx] at this #align pretrivialization.proj_symm_apply Pretrivialization.proj_symm_apply theorem proj_symm_apply' {b : B} {x : F} (hx : b ∈ e.baseSet) : proj (e.toPartialEquiv.symm (b, x)) = b := e.proj_symm_apply (e.mem_target.2 hx) #align pretrivialization.proj_symm_apply' Pretrivialization.proj_symm_apply' theorem proj_surjOn_baseSet [Nonempty F] : Set.SurjOn proj e.source e.baseSet := fun b hb => let ⟨y⟩ := ‹Nonempty F› ⟨e.toPartialEquiv.symm (b, y), e.toPartialEquiv.map_target <| e.mem_target.2 hb, e.proj_symm_apply' hb⟩ #align pretrivialization.proj_surj_on_base_set Pretrivialization.proj_surjOn_baseSet theorem apply_symm_apply {x : B × F} (hx : x ∈ e.target) : e (e.toPartialEquiv.symm x) = x := e.toPartialEquiv.right_inv hx #align pretrivialization.apply_symm_apply Pretrivialization.apply_symm_apply theorem apply_symm_apply' {b : B} {x : F} (hx : b ∈ e.baseSet) : e (e.toPartialEquiv.symm (b, x)) = (b, x) := e.apply_symm_apply (e.mem_target.2 hx) #align pretrivialization.apply_symm_apply' Pretrivialization.apply_symm_apply' theorem symm_apply_apply {x : Z} (hx : x ∈ e.source) : e.toPartialEquiv.symm (e x) = x := e.toPartialEquiv.left_inv hx #align pretrivialization.symm_apply_apply Pretrivialization.symm_apply_apply @[simp, mfld_simps]
Mathlib/Topology/FiberBundle/Trivialization.lean
175
177
theorem symm_apply_mk_proj {x : Z} (ex : x ∈ e.source) : e.toPartialEquiv.symm (proj x, (e x).2) = x := by
rw [← e.coe_fst ex, ← e.coe_coe, e.left_inv ex]
import Mathlib.CategoryTheory.Filtered.Connected import Mathlib.CategoryTheory.Limits.TypesFiltered import Mathlib.CategoryTheory.Limits.Final universe v₁ v₂ u₁ u₂ namespace CategoryTheory open CategoryTheory.Limits CategoryTheory.Functor Opposite section ArbitraryUniverses variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D) theorem Functor.final_of_isFiltered_structuredArrow [∀ d, IsFiltered (StructuredArrow d F)] : Final F where out _ := IsFiltered.isConnected _ theorem Functor.initial_of_isCofiltered_costructuredArrow [∀ d, IsCofiltered (CostructuredArrow F d)] : Initial F where out _ := IsCofiltered.isConnected _ theorem isFiltered_structuredArrow_of_isFiltered_of_exists [IsFilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c), ∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) (d : D) : IsFiltered (StructuredArrow d F) := by have : Nonempty (StructuredArrow d F) := by obtain ⟨c, ⟨f⟩⟩ := h₁ d exact ⟨.mk f⟩ suffices IsFilteredOrEmpty (StructuredArrow d F) from IsFiltered.mk refine ⟨fun f g => ?_, fun f g η μ => ?_⟩ · obtain ⟨c, ⟨t, ht⟩⟩ := h₂ (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right)) (g.hom ≫ F.map (IsFiltered.rightToMax f.right g.right)) refine ⟨.mk (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right ≫ t)), ?_, ?_, trivial⟩ · exact StructuredArrow.homMk (IsFiltered.leftToMax _ _ ≫ t) rfl · exact StructuredArrow.homMk (IsFiltered.rightToMax _ _ ≫ t) (by simpa using ht.symm) · refine ⟨.mk (f.hom ≫ F.map (η.right ≫ IsFiltered.coeqHom η.right μ.right)), StructuredArrow.homMk (IsFiltered.coeqHom η.right μ.right) (by simp), ?_⟩ simpa using IsFiltered.coeq_condition _ _ theorem isCofiltered_costructuredArrow_of_isCofiltered_of_exists [IsCofilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d), ∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') (d : D) : IsCofiltered (CostructuredArrow F d) := by suffices IsFiltered (CostructuredArrow F d)ᵒᵖ from isCofiltered_of_isFiltered_op _ suffices IsFiltered (StructuredArrow (op d) F.op) from IsFiltered.of_equivalence (costructuredArrowOpEquivalence _ _).symm apply isFiltered_structuredArrow_of_isFiltered_of_exists · intro d obtain ⟨c, ⟨t⟩⟩ := h₁ d.unop exact ⟨op c, ⟨Quiver.Hom.op t⟩⟩ · intro d c s s' obtain ⟨c', t, ht⟩ := h₂ s.unop s'.unop exact ⟨op c', Quiver.Hom.op t, Quiver.Hom.unop_inj ht⟩ theorem Functor.final_of_exists_of_isFiltered [IsFilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c), ∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) : Functor.Final F := by suffices ∀ d, IsFiltered (StructuredArrow d F) from final_of_isFiltered_structuredArrow F exact isFiltered_structuredArrow_of_isFiltered_of_exists F h₁ h₂ theorem Functor.initial_of_exists_of_isCofiltered [IsCofilteredOrEmpty C] (h₁ : ∀ d, ∃ c, Nonempty (F.obj c ⟶ d)) (h₂ : ∀ {d : D} {c : C} (s s' : F.obj c ⟶ d), ∃ (c' : C) (t : c' ⟶ c), F.map t ≫ s = F.map t ≫ s') : Functor.Initial F := by suffices ∀ d, IsCofiltered (CostructuredArrow F d) from initial_of_isCofiltered_costructuredArrow F exact isCofiltered_costructuredArrow_of_isCofiltered_of_exists F h₁ h₂
Mathlib/CategoryTheory/Filtered/Final.lean
108
117
theorem IsFilteredOrEmpty.of_exists_of_isFiltered_of_fullyFaithful [IsFilteredOrEmpty D] [F.Full] [F.Faithful] (h : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) : IsFilteredOrEmpty C where cocone_objs c c' := by
obtain ⟨c₀, ⟨f⟩⟩ := h (IsFiltered.max (F.obj c) (F.obj c')) exact ⟨c₀, F.preimage (IsFiltered.leftToMax _ _ ≫ f), F.preimage (IsFiltered.rightToMax _ _ ≫ f), trivial⟩ cocone_maps {c c'} f g := by obtain ⟨c₀, ⟨f₀⟩⟩ := h (IsFiltered.coeq (F.map f) (F.map g)) refine ⟨_, F.preimage (IsFiltered.coeqHom (F.map f) (F.map g) ≫ f₀), F.map_injective ?_⟩ simp [reassoc_of% (IsFiltered.coeq_condition (F.map f) (F.map g))]
import Mathlib.Probability.Notation import Mathlib.Probability.Integration import Mathlib.MeasureTheory.Function.L2Space #align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open MeasureTheory Filter Finset noncomputable section open scoped MeasureTheory ProbabilityTheory ENNReal NNReal namespace ProbabilityTheory -- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4 private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl -- Porting note: Consider if `evariance` or `eVariance` is better. Also, -- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`. def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ := ∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ #align probability_theory.evariance ProbabilityTheory.evariance def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ := (evariance X μ).toReal #align probability_theory.variance ProbabilityTheory.variance variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
Mathlib/Probability/Variance.lean
65
72
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) : evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2 rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this simp_rw [ENNReal.rpow_two] at this exact this
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms import Mathlib.CategoryTheory.Limits.Constructions.BinaryProducts #align_import category_theory.limits.constructions.zero_objects from "leanprover-community/mathlib"@"52a270e2ea4e342c2587c106f8be904524214a4b" noncomputable section open CategoryTheory variable {C : Type*} [Category C] namespace CategoryTheory.Limits variable [HasZeroObject C] [HasZeroMorphisms C] open ZeroObject def binaryFanZeroLeft (X : C) : BinaryFan (0 : C) X := BinaryFan.mk 0 (𝟙 X) #align category_theory.limits.binary_fan_zero_left CategoryTheory.Limits.binaryFanZeroLeft def binaryFanZeroLeftIsLimit (X : C) : IsLimit (binaryFanZeroLeft X) := BinaryFan.isLimitMk (fun s => BinaryFan.snd s) (by aesop_cat) (by aesop_cat) (fun s m _ h₂ => by simpa using h₂) #align category_theory.limits.binary_fan_zero_left_is_limit CategoryTheory.Limits.binaryFanZeroLeftIsLimit instance hasBinaryProduct_zero_left (X : C) : HasBinaryProduct (0 : C) X := HasLimit.mk ⟨_, binaryFanZeroLeftIsLimit X⟩ #align category_theory.limits.has_binary_product_zero_left CategoryTheory.Limits.hasBinaryProduct_zero_left def zeroProdIso (X : C) : (0 : C) ⨯ X ≅ X := limit.isoLimitCone ⟨_, binaryFanZeroLeftIsLimit X⟩ #align category_theory.limits.zero_prod_iso CategoryTheory.Limits.zeroProdIso @[simp] theorem zeroProdIso_hom (X : C) : (zeroProdIso X).hom = prod.snd := rfl #align category_theory.limits.zero_prod_iso_hom CategoryTheory.Limits.zeroProdIso_hom @[simp] theorem zeroProdIso_inv_snd (X : C) : (zeroProdIso X).inv ≫ prod.snd = 𝟙 X := by dsimp [zeroProdIso, binaryFanZeroLeft] simp #align category_theory.limits.zero_prod_iso_inv_snd CategoryTheory.Limits.zeroProdIso_inv_snd def binaryFanZeroRight (X : C) : BinaryFan X (0 : C) := BinaryFan.mk (𝟙 X) 0 #align category_theory.limits.binary_fan_zero_right CategoryTheory.Limits.binaryFanZeroRight def binaryFanZeroRightIsLimit (X : C) : IsLimit (binaryFanZeroRight X) := BinaryFan.isLimitMk (fun s => BinaryFan.fst s) (by aesop_cat) (by aesop_cat) (fun s m h₁ _ => by simpa using h₁) #align category_theory.limits.binary_fan_zero_right_is_limit CategoryTheory.Limits.binaryFanZeroRightIsLimit instance hasBinaryProduct_zero_right (X : C) : HasBinaryProduct X (0 : C) := HasLimit.mk ⟨_, binaryFanZeroRightIsLimit X⟩ #align category_theory.limits.has_binary_product_zero_right CategoryTheory.Limits.hasBinaryProduct_zero_right def prodZeroIso (X : C) : X ⨯ (0 : C) ≅ X := limit.isoLimitCone ⟨_, binaryFanZeroRightIsLimit X⟩ #align category_theory.limits.prod_zero_iso CategoryTheory.Limits.prodZeroIso @[simp] theorem prodZeroIso_hom (X : C) : (prodZeroIso X).hom = prod.fst := rfl #align category_theory.limits.prod_zero_iso_hom CategoryTheory.Limits.prodZeroIso_hom @[simp] theorem prodZeroIso_iso_inv_snd (X : C) : (prodZeroIso X).inv ≫ prod.fst = 𝟙 X := by dsimp [prodZeroIso, binaryFanZeroRight] simp #align category_theory.limits.prod_zero_iso_iso_inv_snd CategoryTheory.Limits.prodZeroIso_iso_inv_snd def binaryCofanZeroLeft (X : C) : BinaryCofan (0 : C) X := BinaryCofan.mk 0 (𝟙 X) #align category_theory.limits.binary_cofan_zero_left CategoryTheory.Limits.binaryCofanZeroLeft def binaryCofanZeroLeftIsColimit (X : C) : IsColimit (binaryCofanZeroLeft X) := BinaryCofan.isColimitMk (fun s => BinaryCofan.inr s) (by aesop_cat) (by aesop_cat) (fun s m _ h₂ => by simpa using h₂) #align category_theory.limits.binary_cofan_zero_left_is_colimit CategoryTheory.Limits.binaryCofanZeroLeftIsColimit instance hasBinaryCoproduct_zero_left (X : C) : HasBinaryCoproduct (0 : C) X := HasColimit.mk ⟨_, binaryCofanZeroLeftIsColimit X⟩ #align category_theory.limits.has_binary_coproduct_zero_left CategoryTheory.Limits.hasBinaryCoproduct_zero_left def zeroCoprodIso (X : C) : (0 : C) ⨿ X ≅ X := colimit.isoColimitCocone ⟨_, binaryCofanZeroLeftIsColimit X⟩ #align category_theory.limits.zero_coprod_iso CategoryTheory.Limits.zeroCoprodIso @[simp] theorem inr_zeroCoprodIso_hom (X : C) : coprod.inr ≫ (zeroCoprodIso X).hom = 𝟙 X := by dsimp [zeroCoprodIso, binaryCofanZeroLeft] simp #align category_theory.limits.inr_zero_coprod_iso_hom CategoryTheory.Limits.inr_zeroCoprodIso_hom @[simp] theorem zeroCoprodIso_inv (X : C) : (zeroCoprodIso X).inv = coprod.inr := rfl #align category_theory.limits.zero_coprod_iso_inv CategoryTheory.Limits.zeroCoprodIso_inv def binaryCofanZeroRight (X : C) : BinaryCofan X (0 : C) := BinaryCofan.mk (𝟙 X) 0 #align category_theory.limits.binary_cofan_zero_right CategoryTheory.Limits.binaryCofanZeroRight def binaryCofanZeroRightIsColimit (X : C) : IsColimit (binaryCofanZeroRight X) := BinaryCofan.isColimitMk (fun s => BinaryCofan.inl s) (by aesop_cat) (by aesop_cat) (fun s m h₁ _ => by simpa using h₁) #align category_theory.limits.binary_cofan_zero_right_is_colimit CategoryTheory.Limits.binaryCofanZeroRightIsColimit instance hasBinaryCoproduct_zero_right (X : C) : HasBinaryCoproduct X (0 : C) := HasColimit.mk ⟨_, binaryCofanZeroRightIsColimit X⟩ #align category_theory.limits.has_binary_coproduct_zero_right CategoryTheory.Limits.hasBinaryCoproduct_zero_right def coprodZeroIso (X : C) : X ⨿ (0 : C) ≅ X := colimit.isoColimitCocone ⟨_, binaryCofanZeroRightIsColimit X⟩ #align category_theory.limits.coprod_zero_iso CategoryTheory.Limits.coprodZeroIso @[simp] theorem inr_coprodZeroIso_hom (X : C) : coprod.inl ≫ (coprodZeroIso X).hom = 𝟙 X := by dsimp [coprodZeroIso, binaryCofanZeroRight] simp #align category_theory.limits.inr_coprod_zeroiso_hom CategoryTheory.Limits.inr_coprodZeroIso_hom @[simp] theorem coprodZeroIso_inv (X : C) : (coprodZeroIso X).inv = coprod.inl := rfl #align category_theory.limits.coprod_zero_iso_inv CategoryTheory.Limits.coprodZeroIso_inv instance hasPullback_over_zero (X Y : C) [HasBinaryProduct X Y] : HasPullback (0 : X ⟶ 0) (0 : Y ⟶ 0) := HasLimit.mk ⟨_, isPullbackOfIsTerminalIsProduct _ _ _ _ HasZeroObject.zeroIsTerminal (prodIsProd X Y)⟩ #align category_theory.limits.has_pullback_over_zero CategoryTheory.Limits.hasPullback_over_zero def pullbackZeroZeroIso (X Y : C) [HasBinaryProduct X Y] : pullback (0 : X ⟶ 0) (0 : Y ⟶ 0) ≅ X ⨯ Y := limit.isoLimitCone ⟨_, isPullbackOfIsTerminalIsProduct _ _ _ _ HasZeroObject.zeroIsTerminal (prodIsProd X Y)⟩ #align category_theory.limits.pullback_zero_zero_iso CategoryTheory.Limits.pullbackZeroZeroIso @[simp] theorem pullbackZeroZeroIso_inv_fst (X Y : C) [HasBinaryProduct X Y] : (pullbackZeroZeroIso X Y).inv ≫ pullback.fst = prod.fst := by dsimp [pullbackZeroZeroIso] simp #align category_theory.limits.pullback_zero_zero_iso_inv_fst CategoryTheory.Limits.pullbackZeroZeroIso_inv_fst @[simp]
Mathlib/CategoryTheory/Limits/Constructions/ZeroObjects.lean
177
180
theorem pullbackZeroZeroIso_inv_snd (X Y : C) [HasBinaryProduct X Y] : (pullbackZeroZeroIso X Y).inv ≫ pullback.snd = prod.snd := by
dsimp [pullbackZeroZeroIso] simp
import Mathlib.Geometry.Manifold.MFDeriv.Defs #align_import geometry.manifold.mfderiv from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" noncomputable section open scoped Topology Manifold open Set Bundle section DerivativesProperties variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] {I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] {I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] {f f₀ f₁ : M → M'} {x : M} {s t : Set M} {g : M' → M''} {u : Set M'} theorem uniqueMDiffWithinAt_univ : UniqueMDiffWithinAt I univ x := by unfold UniqueMDiffWithinAt simp only [preimage_univ, univ_inter] exact I.unique_diff _ (mem_range_self _) #align unique_mdiff_within_at_univ uniqueMDiffWithinAt_univ variable {I} theorem uniqueMDiffWithinAt_iff {s : Set M} {x : M} : UniqueMDiffWithinAt I s x ↔ UniqueDiffWithinAt 𝕜 ((extChartAt I x).symm ⁻¹' s ∩ (extChartAt I x).target) ((extChartAt I x) x) := by apply uniqueDiffWithinAt_congr rw [nhdsWithin_inter, nhdsWithin_inter, nhdsWithin_extChartAt_target_eq] #align unique_mdiff_within_at_iff uniqueMDiffWithinAt_iff nonrec theorem UniqueMDiffWithinAt.mono_nhds {s t : Set M} {x : M} (hs : UniqueMDiffWithinAt I s x) (ht : 𝓝[s] x ≤ 𝓝[t] x) : UniqueMDiffWithinAt I t x := hs.mono_nhds <| by simpa only [← map_extChartAt_nhdsWithin] using Filter.map_mono ht theorem UniqueMDiffWithinAt.mono_of_mem {s t : Set M} {x : M} (hs : UniqueMDiffWithinAt I s x) (ht : t ∈ 𝓝[s] x) : UniqueMDiffWithinAt I t x := hs.mono_nhds (nhdsWithin_le_iff.2 ht) theorem UniqueMDiffWithinAt.mono (h : UniqueMDiffWithinAt I s x) (st : s ⊆ t) : UniqueMDiffWithinAt I t x := UniqueDiffWithinAt.mono h <| inter_subset_inter (preimage_mono st) (Subset.refl _) #align unique_mdiff_within_at.mono UniqueMDiffWithinAt.mono theorem UniqueMDiffWithinAt.inter' (hs : UniqueMDiffWithinAt I s x) (ht : t ∈ 𝓝[s] x) : UniqueMDiffWithinAt I (s ∩ t) x := hs.mono_of_mem (Filter.inter_mem self_mem_nhdsWithin ht) #align unique_mdiff_within_at.inter' UniqueMDiffWithinAt.inter' theorem UniqueMDiffWithinAt.inter (hs : UniqueMDiffWithinAt I s x) (ht : t ∈ 𝓝 x) : UniqueMDiffWithinAt I (s ∩ t) x := hs.inter' (nhdsWithin_le_nhds ht) #align unique_mdiff_within_at.inter UniqueMDiffWithinAt.inter theorem IsOpen.uniqueMDiffWithinAt (hs : IsOpen s) (xs : x ∈ s) : UniqueMDiffWithinAt I s x := (uniqueMDiffWithinAt_univ I).mono_of_mem <| nhdsWithin_le_nhds <| hs.mem_nhds xs #align is_open.unique_mdiff_within_at IsOpen.uniqueMDiffWithinAt theorem UniqueMDiffOn.inter (hs : UniqueMDiffOn I s) (ht : IsOpen t) : UniqueMDiffOn I (s ∩ t) := fun _x hx => UniqueMDiffWithinAt.inter (hs _ hx.1) (ht.mem_nhds hx.2) #align unique_mdiff_on.inter UniqueMDiffOn.inter theorem IsOpen.uniqueMDiffOn (hs : IsOpen s) : UniqueMDiffOn I s := fun _x hx => hs.uniqueMDiffWithinAt hx #align is_open.unique_mdiff_on IsOpen.uniqueMDiffOn theorem uniqueMDiffOn_univ : UniqueMDiffOn I (univ : Set M) := isOpen_univ.uniqueMDiffOn #align unique_mdiff_on_univ uniqueMDiffOn_univ variable [Is : SmoothManifoldWithCorners I M] [I's : SmoothManifoldWithCorners I' M'] [I''s : SmoothManifoldWithCorners I'' M''] {f' f₀' f₁' : TangentSpace I x →L[𝕜] TangentSpace I' (f x)} {g' : TangentSpace I' (f x) →L[𝕜] TangentSpace I'' (g (f x))} nonrec theorem UniqueMDiffWithinAt.eq (U : UniqueMDiffWithinAt I s x) (h : HasMFDerivWithinAt I I' f s x f') (h₁ : HasMFDerivWithinAt I I' f s x f₁') : f' = f₁' := by -- Porting note: didn't need `convert` because of finding instances by unification convert U.eq h.2 h₁.2 #align unique_mdiff_within_at.eq UniqueMDiffWithinAt.eq theorem UniqueMDiffOn.eq (U : UniqueMDiffOn I s) (hx : x ∈ s) (h : HasMFDerivWithinAt I I' f s x f') (h₁ : HasMFDerivWithinAt I I' f s x f₁') : f' = f₁' := UniqueMDiffWithinAt.eq (U _ hx) h h₁ #align unique_mdiff_on.eq UniqueMDiffOn.eq nonrec theorem UniqueMDiffWithinAt.prod {x : M} {y : M'} {s t} (hs : UniqueMDiffWithinAt I s x) (ht : UniqueMDiffWithinAt I' t y) : UniqueMDiffWithinAt (I.prod I') (s ×ˢ t) (x, y) := by refine (hs.prod ht).mono ?_ rw [ModelWithCorners.range_prod, ← prod_inter_prod] rfl theorem UniqueMDiffOn.prod {s : Set M} {t : Set M'} (hs : UniqueMDiffOn I s) (ht : UniqueMDiffOn I' t) : UniqueMDiffOn (I.prod I') (s ×ˢ t) := fun x h ↦ (hs x.1 h.1).prod (ht x.2 h.2) theorem mdifferentiableWithinAt_iff {f : M → M'} {s : Set M} {x : M} : MDifferentiableWithinAt I I' f s x ↔ ContinuousWithinAt f s x ∧ DifferentiableWithinAt 𝕜 (writtenInExtChartAt I I' x f) ((extChartAt I x).target ∩ (extChartAt I x).symm ⁻¹' s) ((extChartAt I x) x) := by rw [mdifferentiableWithinAt_iff'] refine and_congr Iff.rfl (exists_congr fun f' => ?_) rw [inter_comm] simp only [HasFDerivWithinAt, nhdsWithin_inter, nhdsWithin_extChartAt_target_eq] #align mdifferentiable_within_at_iff mdifferentiableWithinAt_iff theorem mdifferentiableWithinAt_iff_of_mem_source {x' : M} {y : M'} (hx : x' ∈ (chartAt H x).source) (hy : f x' ∈ (chartAt H' y).source) : MDifferentiableWithinAt I I' f s x' ↔ ContinuousWithinAt f s x' ∧ DifferentiableWithinAt 𝕜 (extChartAt I' y ∘ f ∘ (extChartAt I x).symm) ((extChartAt I x).symm ⁻¹' s ∩ Set.range I) ((extChartAt I x) x') := (differentiable_within_at_localInvariantProp I I').liftPropWithinAt_indep_chart (StructureGroupoid.chart_mem_maximalAtlas _ x) hx (StructureGroupoid.chart_mem_maximalAtlas _ y) hy #align mdifferentiable_within_at_iff_of_mem_source mdifferentiableWithinAt_iff_of_mem_source theorem mfderivWithin_zero_of_not_mdifferentiableWithinAt (h : ¬MDifferentiableWithinAt I I' f s x) : mfderivWithin I I' f s x = 0 := by simp only [mfderivWithin, h, if_neg, not_false_iff] #align mfderiv_within_zero_of_not_mdifferentiable_within_at mfderivWithin_zero_of_not_mdifferentiableWithinAt theorem mfderiv_zero_of_not_mdifferentiableAt (h : ¬MDifferentiableAt I I' f x) : mfderiv I I' f x = 0 := by simp only [mfderiv, h, if_neg, not_false_iff] #align mfderiv_zero_of_not_mdifferentiable_at mfderiv_zero_of_not_mdifferentiableAt theorem HasMFDerivWithinAt.mono (h : HasMFDerivWithinAt I I' f t x f') (hst : s ⊆ t) : HasMFDerivWithinAt I I' f s x f' := ⟨ContinuousWithinAt.mono h.1 hst, HasFDerivWithinAt.mono h.2 (inter_subset_inter (preimage_mono hst) (Subset.refl _))⟩ #align has_mfderiv_within_at.mono HasMFDerivWithinAt.mono theorem HasMFDerivAt.hasMFDerivWithinAt (h : HasMFDerivAt I I' f x f') : HasMFDerivWithinAt I I' f s x f' := ⟨ContinuousAt.continuousWithinAt h.1, HasFDerivWithinAt.mono h.2 inter_subset_right⟩ #align has_mfderiv_at.has_mfderiv_within_at HasMFDerivAt.hasMFDerivWithinAt theorem HasMFDerivWithinAt.mdifferentiableWithinAt (h : HasMFDerivWithinAt I I' f s x f') : MDifferentiableWithinAt I I' f s x := ⟨h.1, ⟨f', h.2⟩⟩ #align has_mfderiv_within_at.mdifferentiable_within_at HasMFDerivWithinAt.mdifferentiableWithinAt theorem HasMFDerivAt.mdifferentiableAt (h : HasMFDerivAt I I' f x f') : MDifferentiableAt I I' f x := by rw [mdifferentiableAt_iff] exact ⟨h.1, ⟨f', h.2⟩⟩ #align has_mfderiv_at.mdifferentiable_at HasMFDerivAt.mdifferentiableAt @[simp, mfld_simps] theorem hasMFDerivWithinAt_univ : HasMFDerivWithinAt I I' f univ x f' ↔ HasMFDerivAt I I' f x f' := by simp only [HasMFDerivWithinAt, HasMFDerivAt, continuousWithinAt_univ, mfld_simps] #align has_mfderiv_within_at_univ hasMFDerivWithinAt_univ theorem hasMFDerivAt_unique (h₀ : HasMFDerivAt I I' f x f₀') (h₁ : HasMFDerivAt I I' f x f₁') : f₀' = f₁' := by rw [← hasMFDerivWithinAt_univ] at h₀ h₁ exact (uniqueMDiffWithinAt_univ I).eq h₀ h₁ #align has_mfderiv_at_unique hasMFDerivAt_unique theorem hasMFDerivWithinAt_inter' (h : t ∈ 𝓝[s] x) : HasMFDerivWithinAt I I' f (s ∩ t) x f' ↔ HasMFDerivWithinAt I I' f s x f' := by rw [HasMFDerivWithinAt, HasMFDerivWithinAt, extChartAt_preimage_inter_eq, hasFDerivWithinAt_inter', continuousWithinAt_inter' h] exact extChartAt_preimage_mem_nhdsWithin I h #align has_mfderiv_within_at_inter' hasMFDerivWithinAt_inter' theorem hasMFDerivWithinAt_inter (h : t ∈ 𝓝 x) : HasMFDerivWithinAt I I' f (s ∩ t) x f' ↔ HasMFDerivWithinAt I I' f s x f' := by rw [HasMFDerivWithinAt, HasMFDerivWithinAt, extChartAt_preimage_inter_eq, hasFDerivWithinAt_inter, continuousWithinAt_inter h] exact extChartAt_preimage_mem_nhds I h #align has_mfderiv_within_at_inter hasMFDerivWithinAt_inter theorem HasMFDerivWithinAt.union (hs : HasMFDerivWithinAt I I' f s x f') (ht : HasMFDerivWithinAt I I' f t x f') : HasMFDerivWithinAt I I' f (s ∪ t) x f' := by constructor · exact ContinuousWithinAt.union hs.1 ht.1 · convert HasFDerivWithinAt.union hs.2 ht.2 using 1 simp only [union_inter_distrib_right, preimage_union] #align has_mfderiv_within_at.union HasMFDerivWithinAt.union theorem HasMFDerivWithinAt.mono_of_mem (h : HasMFDerivWithinAt I I' f s x f') (ht : s ∈ 𝓝[t] x) : HasMFDerivWithinAt I I' f t x f' := (hasMFDerivWithinAt_inter' ht).1 (h.mono inter_subset_right) #align has_mfderiv_within_at.nhds_within HasMFDerivWithinAt.mono_of_mem theorem HasMFDerivWithinAt.hasMFDerivAt (h : HasMFDerivWithinAt I I' f s x f') (hs : s ∈ 𝓝 x) : HasMFDerivAt I I' f x f' := by rwa [← univ_inter s, hasMFDerivWithinAt_inter hs, hasMFDerivWithinAt_univ] at h #align has_mfderiv_within_at.has_mfderiv_at HasMFDerivWithinAt.hasMFDerivAt theorem MDifferentiableWithinAt.hasMFDerivWithinAt (h : MDifferentiableWithinAt I I' f s x) : HasMFDerivWithinAt I I' f s x (mfderivWithin I I' f s x) := by refine ⟨h.1, ?_⟩ simp only [mfderivWithin, h, if_pos, mfld_simps] exact DifferentiableWithinAt.hasFDerivWithinAt h.2 #align mdifferentiable_within_at.has_mfderiv_within_at MDifferentiableWithinAt.hasMFDerivWithinAt protected theorem MDifferentiableWithinAt.mfderivWithin (h : MDifferentiableWithinAt I I' f s x) : mfderivWithin I I' f s x = fderivWithin 𝕜 (writtenInExtChartAt I I' x f : _) ((extChartAt I x).symm ⁻¹' s ∩ range I) ((extChartAt I x) x) := by simp only [mfderivWithin, h, if_pos] #align mdifferentiable_within_at.mfderiv_within MDifferentiableWithinAt.mfderivWithin theorem MDifferentiableAt.hasMFDerivAt (h : MDifferentiableAt I I' f x) : HasMFDerivAt I I' f x (mfderiv I I' f x) := by refine ⟨h.continuousAt, ?_⟩ simp only [mfderiv, h, if_pos, mfld_simps] exact DifferentiableWithinAt.hasFDerivWithinAt h.differentiableWithinAt_writtenInExtChartAt #align mdifferentiable_at.has_mfderiv_at MDifferentiableAt.hasMFDerivAt protected theorem MDifferentiableAt.mfderiv (h : MDifferentiableAt I I' f x) : mfderiv I I' f x = fderivWithin 𝕜 (writtenInExtChartAt I I' x f : _) (range I) ((extChartAt I x) x) := by simp only [mfderiv, h, if_pos] #align mdifferentiable_at.mfderiv MDifferentiableAt.mfderiv protected theorem HasMFDerivAt.mfderiv (h : HasMFDerivAt I I' f x f') : mfderiv I I' f x = f' := (hasMFDerivAt_unique h h.mdifferentiableAt.hasMFDerivAt).symm #align has_mfderiv_at.mfderiv HasMFDerivAt.mfderiv theorem HasMFDerivWithinAt.mfderivWithin (h : HasMFDerivWithinAt I I' f s x f') (hxs : UniqueMDiffWithinAt I s x) : mfderivWithin I I' f s x = f' := by ext rw [hxs.eq h h.mdifferentiableWithinAt.hasMFDerivWithinAt] #align has_mfderiv_within_at.mfderiv_within HasMFDerivWithinAt.mfderivWithin theorem MDifferentiable.mfderivWithin (h : MDifferentiableAt I I' f x) (hxs : UniqueMDiffWithinAt I s x) : mfderivWithin I I' f s x = mfderiv I I' f x := by apply HasMFDerivWithinAt.mfderivWithin _ hxs exact h.hasMFDerivAt.hasMFDerivWithinAt #align mdifferentiable.mfderiv_within MDifferentiable.mfderivWithin theorem mfderivWithin_subset (st : s ⊆ t) (hs : UniqueMDiffWithinAt I s x) (h : MDifferentiableWithinAt I I' f t x) : mfderivWithin I I' f s x = mfderivWithin I I' f t x := ((MDifferentiableWithinAt.hasMFDerivWithinAt h).mono st).mfderivWithin hs #align mfderiv_within_subset mfderivWithin_subset theorem MDifferentiableWithinAt.mono (hst : s ⊆ t) (h : MDifferentiableWithinAt I I' f t x) : MDifferentiableWithinAt I I' f s x := ⟨ContinuousWithinAt.mono h.1 hst, DifferentiableWithinAt.mono h.differentiableWithinAt_writtenInExtChartAt (inter_subset_inter_left _ (preimage_mono hst))⟩ #align mdifferentiable_within_at.mono MDifferentiableWithinAt.mono theorem mdifferentiableWithinAt_univ : MDifferentiableWithinAt I I' f univ x ↔ MDifferentiableAt I I' f x := by simp_rw [MDifferentiableWithinAt, MDifferentiableAt, ChartedSpace.LiftPropAt] #align mdifferentiable_within_at_univ mdifferentiableWithinAt_univ theorem mdifferentiableWithinAt_inter (ht : t ∈ 𝓝 x) : MDifferentiableWithinAt I I' f (s ∩ t) x ↔ MDifferentiableWithinAt I I' f s x := by rw [MDifferentiableWithinAt, MDifferentiableWithinAt, (differentiable_within_at_localInvariantProp I I').liftPropWithinAt_inter ht] #align mdifferentiable_within_at_inter mdifferentiableWithinAt_inter theorem mdifferentiableWithinAt_inter' (ht : t ∈ 𝓝[s] x) : MDifferentiableWithinAt I I' f (s ∩ t) x ↔ MDifferentiableWithinAt I I' f s x := by rw [MDifferentiableWithinAt, MDifferentiableWithinAt, (differentiable_within_at_localInvariantProp I I').liftPropWithinAt_inter' ht] #align mdifferentiable_within_at_inter' mdifferentiableWithinAt_inter' theorem MDifferentiableAt.mdifferentiableWithinAt (h : MDifferentiableAt I I' f x) : MDifferentiableWithinAt I I' f s x := MDifferentiableWithinAt.mono (subset_univ _) (mdifferentiableWithinAt_univ.2 h) #align mdifferentiable_at.mdifferentiable_within_at MDifferentiableAt.mdifferentiableWithinAt theorem MDifferentiableWithinAt.mdifferentiableAt (h : MDifferentiableWithinAt I I' f s x) (hs : s ∈ 𝓝 x) : MDifferentiableAt I I' f x := by have : s = univ ∩ s := by rw [univ_inter] rwa [this, mdifferentiableWithinAt_inter hs, mdifferentiableWithinAt_univ] at h #align mdifferentiable_within_at.mdifferentiable_at MDifferentiableWithinAt.mdifferentiableAt theorem MDifferentiableOn.mdifferentiableAt (h : MDifferentiableOn I I' f s) (hx : s ∈ 𝓝 x) : MDifferentiableAt I I' f x := (h x (mem_of_mem_nhds hx)).mdifferentiableAt hx theorem MDifferentiableOn.mono (h : MDifferentiableOn I I' f t) (st : s ⊆ t) : MDifferentiableOn I I' f s := fun x hx => (h x (st hx)).mono st #align mdifferentiable_on.mono MDifferentiableOn.mono theorem mdifferentiableOn_univ : MDifferentiableOn I I' f univ ↔ MDifferentiable I I' f := by simp only [MDifferentiableOn, mdifferentiableWithinAt_univ, mfld_simps]; rfl #align mdifferentiable_on_univ mdifferentiableOn_univ theorem MDifferentiable.mdifferentiableOn (h : MDifferentiable I I' f) : MDifferentiableOn I I' f s := (mdifferentiableOn_univ.2 h).mono (subset_univ _) #align mdifferentiable.mdifferentiable_on MDifferentiable.mdifferentiableOn theorem mdifferentiableOn_of_locally_mdifferentiableOn (h : ∀ x ∈ s, ∃ u, IsOpen u ∧ x ∈ u ∧ MDifferentiableOn I I' f (s ∩ u)) : MDifferentiableOn I I' f s := by intro x xs rcases h x xs with ⟨t, t_open, xt, ht⟩ exact (mdifferentiableWithinAt_inter (t_open.mem_nhds xt)).1 (ht x ⟨xs, xt⟩) #align mdifferentiable_on_of_locally_mdifferentiable_on mdifferentiableOn_of_locally_mdifferentiableOn @[simp, mfld_simps] theorem mfderivWithin_univ : mfderivWithin I I' f univ = mfderiv I I' f := by ext x : 1 simp only [mfderivWithin, mfderiv, mfld_simps] rw [mdifferentiableWithinAt_univ] #align mfderiv_within_univ mfderivWithin_univ theorem mfderivWithin_inter (ht : t ∈ 𝓝 x) : mfderivWithin I I' f (s ∩ t) x = mfderivWithin I I' f s x := by rw [mfderivWithin, mfderivWithin, extChartAt_preimage_inter_eq, mdifferentiableWithinAt_inter ht, fderivWithin_inter (extChartAt_preimage_mem_nhds I ht)] #align mfderiv_within_inter mfderivWithin_inter theorem mfderivWithin_of_mem_nhds (h : s ∈ 𝓝 x) : mfderivWithin I I' f s x = mfderiv I I' f x := by rw [← mfderivWithin_univ, ← univ_inter s, mfderivWithin_inter h] lemma mfderivWithin_of_isOpen (hs : IsOpen s) (hx : x ∈ s) : mfderivWithin I I' f s x = mfderiv I I' f x := mfderivWithin_of_mem_nhds (hs.mem_nhds hx) theorem mfderivWithin_eq_mfderiv (hs : UniqueMDiffWithinAt I s x) (h : MDifferentiableAt I I' f x) : mfderivWithin I I' f s x = mfderiv I I' f x := by rw [← mfderivWithin_univ] exact mfderivWithin_subset (subset_univ _) hs h.mdifferentiableWithinAt theorem mdifferentiableAt_iff_of_mem_source {x' : M} {y : M'} (hx : x' ∈ (chartAt H x).source) (hy : f x' ∈ (chartAt H' y).source) : MDifferentiableAt I I' f x' ↔ ContinuousAt f x' ∧ DifferentiableWithinAt 𝕜 (extChartAt I' y ∘ f ∘ (extChartAt I x).symm) (Set.range I) ((extChartAt I x) x') := mdifferentiableWithinAt_univ.symm.trans <| (mdifferentiableWithinAt_iff_of_mem_source hx hy).trans <| by rw [continuousWithinAt_univ, Set.preimage_univ, Set.univ_inter] #align mdifferentiable_at_iff_of_mem_source mdifferentiableAt_iff_of_mem_source -- Porting note: moved from `ContMDiffMFDeriv` variable {n : ℕ∞} theorem ContMDiffWithinAt.mdifferentiableWithinAt (hf : ContMDiffWithinAt I I' n f s x) (hn : 1 ≤ n) : MDifferentiableWithinAt I I' f s x := by suffices h : MDifferentiableWithinAt I I' f (s ∩ f ⁻¹' (extChartAt I' (f x)).source) x by rwa [mdifferentiableWithinAt_inter'] at h apply hf.1.preimage_mem_nhdsWithin exact extChartAt_source_mem_nhds I' (f x) rw [mdifferentiableWithinAt_iff] exact ⟨hf.1.mono inter_subset_left, (hf.2.differentiableWithinAt hn).mono (by mfld_set_tac)⟩ #align cont_mdiff_within_at.mdifferentiable_within_at ContMDiffWithinAt.mdifferentiableWithinAt theorem ContMDiffAt.mdifferentiableAt (hf : ContMDiffAt I I' n f x) (hn : 1 ≤ n) : MDifferentiableAt I I' f x := mdifferentiableWithinAt_univ.1 <| ContMDiffWithinAt.mdifferentiableWithinAt hf hn #align cont_mdiff_at.mdifferentiable_at ContMDiffAt.mdifferentiableAt theorem ContMDiffOn.mdifferentiableOn (hf : ContMDiffOn I I' n f s) (hn : 1 ≤ n) : MDifferentiableOn I I' f s := fun x hx => (hf x hx).mdifferentiableWithinAt hn #align cont_mdiff_on.mdifferentiable_on ContMDiffOn.mdifferentiableOn theorem ContMDiff.mdifferentiable (hf : ContMDiff I I' n f) (hn : 1 ≤ n) : MDifferentiable I I' f := fun x => (hf x).mdifferentiableAt hn #align cont_mdiff.mdifferentiable ContMDiff.mdifferentiable nonrec theorem SmoothWithinAt.mdifferentiableWithinAt (hf : SmoothWithinAt I I' f s x) : MDifferentiableWithinAt I I' f s x := hf.mdifferentiableWithinAt le_top #align smooth_within_at.mdifferentiable_within_at SmoothWithinAt.mdifferentiableWithinAt nonrec theorem SmoothAt.mdifferentiableAt (hf : SmoothAt I I' f x) : MDifferentiableAt I I' f x := hf.mdifferentiableAt le_top #align smooth_at.mdifferentiable_at SmoothAt.mdifferentiableAt nonrec theorem SmoothOn.mdifferentiableOn (hf : SmoothOn I I' f s) : MDifferentiableOn I I' f s := hf.mdifferentiableOn le_top #align smooth_on.mdifferentiable_on SmoothOn.mdifferentiableOn theorem Smooth.mdifferentiable (hf : Smooth I I' f) : MDifferentiable I I' f := ContMDiff.mdifferentiable hf le_top #align smooth.mdifferentiable Smooth.mdifferentiable theorem Smooth.mdifferentiableAt (hf : Smooth I I' f) : MDifferentiableAt I I' f x := hf.mdifferentiable x #align smooth.mdifferentiable_at Smooth.mdifferentiableAt theorem Smooth.mdifferentiableWithinAt (hf : Smooth I I' f) : MDifferentiableWithinAt I I' f s x := hf.mdifferentiableAt.mdifferentiableWithinAt #align smooth.mdifferentiable_within_at Smooth.mdifferentiableWithinAt theorem HasMFDerivWithinAt.continuousWithinAt (h : HasMFDerivWithinAt I I' f s x f') : ContinuousWithinAt f s x := h.1 #align has_mfderiv_within_at.continuous_within_at HasMFDerivWithinAt.continuousWithinAt theorem HasMFDerivAt.continuousAt (h : HasMFDerivAt I I' f x f') : ContinuousAt f x := h.1 #align has_mfderiv_at.continuous_at HasMFDerivAt.continuousAt theorem MDifferentiableOn.continuousOn (h : MDifferentiableOn I I' f s) : ContinuousOn f s := fun x hx => (h x hx).continuousWithinAt #align mdifferentiable_on.continuous_on MDifferentiableOn.continuousOn theorem MDifferentiable.continuous (h : MDifferentiable I I' f) : Continuous f := continuous_iff_continuousAt.2 fun x => (h x).continuousAt #align mdifferentiable.continuous MDifferentiable.continuous theorem tangentMapWithin_subset {p : TangentBundle I M} (st : s ⊆ t) (hs : UniqueMDiffWithinAt I s p.1) (h : MDifferentiableWithinAt I I' f t p.1) : tangentMapWithin I I' f s p = tangentMapWithin I I' f t p := by simp only [tangentMapWithin, mfld_simps] rw [mfderivWithin_subset st hs h] #align tangent_map_within_subset tangentMapWithin_subset theorem tangentMapWithin_univ : tangentMapWithin I I' f univ = tangentMap I I' f := by ext p : 1 simp only [tangentMapWithin, tangentMap, mfld_simps] #align tangent_map_within_univ tangentMapWithin_univ theorem tangentMapWithin_eq_tangentMap {p : TangentBundle I M} (hs : UniqueMDiffWithinAt I s p.1) (h : MDifferentiableAt I I' f p.1) : tangentMapWithin I I' f s p = tangentMap I I' f p := by rw [← mdifferentiableWithinAt_univ] at h rw [← tangentMapWithin_univ] exact tangentMapWithin_subset (subset_univ _) hs h #align tangent_map_within_eq_tangent_map tangentMapWithin_eq_tangentMap @[simp, mfld_simps] theorem tangentMapWithin_proj {p : TangentBundle I M} : (tangentMapWithin I I' f s p).proj = f p.proj := rfl #align tangent_map_within_proj tangentMapWithin_proj @[simp, mfld_simps] theorem tangentMap_proj {p : TangentBundle I M} : (tangentMap I I' f p).proj = f p.proj := rfl #align tangent_map_proj tangentMap_proj theorem MDifferentiableWithinAt.prod_mk {f : M → M'} {g : M → M''} (hf : MDifferentiableWithinAt I I' f s x) (hg : MDifferentiableWithinAt I I'' g s x) : MDifferentiableWithinAt I (I'.prod I'') (fun x => (f x, g x)) s x := ⟨hf.1.prod hg.1, hf.2.prod hg.2⟩ #align mdifferentiable_within_at.prod_mk MDifferentiableWithinAt.prod_mk theorem MDifferentiableAt.prod_mk {f : M → M'} {g : M → M''} (hf : MDifferentiableAt I I' f x) (hg : MDifferentiableAt I I'' g x) : MDifferentiableAt I (I'.prod I'') (fun x => (f x, g x)) x := ⟨hf.1.prod hg.1, hf.2.prod hg.2⟩ #align mdifferentiable_at.prod_mk MDifferentiableAt.prod_mk theorem MDifferentiableOn.prod_mk {f : M → M'} {g : M → M''} (hf : MDifferentiableOn I I' f s) (hg : MDifferentiableOn I I'' g s) : MDifferentiableOn I (I'.prod I'') (fun x => (f x, g x)) s := fun x hx => (hf x hx).prod_mk (hg x hx) #align mdifferentiable_on.prod_mk MDifferentiableOn.prod_mk theorem MDifferentiable.prod_mk {f : M → M'} {g : M → M''} (hf : MDifferentiable I I' f) (hg : MDifferentiable I I'' g) : MDifferentiable I (I'.prod I'') fun x => (f x, g x) := fun x => (hf x).prod_mk (hg x) #align mdifferentiable.prod_mk MDifferentiable.prod_mk theorem MDifferentiableWithinAt.prod_mk_space {f : M → E'} {g : M → E''} (hf : MDifferentiableWithinAt I 𝓘(𝕜, E') f s x) (hg : MDifferentiableWithinAt I 𝓘(𝕜, E'') g s x) : MDifferentiableWithinAt I 𝓘(𝕜, E' × E'') (fun x => (f x, g x)) s x := ⟨hf.1.prod hg.1, hf.2.prod hg.2⟩ #align mdifferentiable_within_at.prod_mk_space MDifferentiableWithinAt.prod_mk_space theorem MDifferentiableAt.prod_mk_space {f : M → E'} {g : M → E''} (hf : MDifferentiableAt I 𝓘(𝕜, E') f x) (hg : MDifferentiableAt I 𝓘(𝕜, E'') g x) : MDifferentiableAt I 𝓘(𝕜, E' × E'') (fun x => (f x, g x)) x := ⟨hf.1.prod hg.1, hf.2.prod hg.2⟩ #align mdifferentiable_at.prod_mk_space MDifferentiableAt.prod_mk_space theorem MDifferentiableOn.prod_mk_space {f : M → E'} {g : M → E''} (hf : MDifferentiableOn I 𝓘(𝕜, E') f s) (hg : MDifferentiableOn I 𝓘(𝕜, E'') g s) : MDifferentiableOn I 𝓘(𝕜, E' × E'') (fun x => (f x, g x)) s := fun x hx => (hf x hx).prod_mk_space (hg x hx) #align mdifferentiable_on.prod_mk_space MDifferentiableOn.prod_mk_space theorem MDifferentiable.prod_mk_space {f : M → E'} {g : M → E''} (hf : MDifferentiable I 𝓘(𝕜, E') f) (hg : MDifferentiable I 𝓘(𝕜, E'') g) : MDifferentiable I 𝓘(𝕜, E' × E'') fun x => (f x, g x) := fun x => (hf x).prod_mk_space (hg x) #align mdifferentiable.prod_mk_space MDifferentiable.prod_mk_space theorem HasMFDerivAt.congr_mfderiv (h : HasMFDerivAt I I' f x f') (h' : f' = f₁') : HasMFDerivAt I I' f x f₁' := h' ▸ h theorem HasMFDerivWithinAt.congr_mfderiv (h : HasMFDerivWithinAt I I' f s x f') (h' : f' = f₁') : HasMFDerivWithinAt I I' f s x f₁' := h' ▸ h theorem HasMFDerivWithinAt.congr_of_eventuallyEq (h : HasMFDerivWithinAt I I' f s x f') (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) : HasMFDerivWithinAt I I' f₁ s x f' := by refine ⟨ContinuousWithinAt.congr_of_eventuallyEq h.1 h₁ hx, ?_⟩ apply HasFDerivWithinAt.congr_of_eventuallyEq h.2 · have : (extChartAt I x).symm ⁻¹' {y | f₁ y = f y} ∈ 𝓝[(extChartAt I x).symm ⁻¹' s ∩ range I] (extChartAt I x) x := extChartAt_preimage_mem_nhdsWithin I h₁ apply Filter.mem_of_superset this fun y => _ simp (config := { contextual := true }) only [hx, mfld_simps] · simp only [hx, mfld_simps] #align has_mfderiv_within_at.congr_of_eventually_eq HasMFDerivWithinAt.congr_of_eventuallyEq theorem HasMFDerivWithinAt.congr_mono (h : HasMFDerivWithinAt I I' f s x f') (ht : ∀ x ∈ t, f₁ x = f x) (hx : f₁ x = f x) (h₁ : t ⊆ s) : HasMFDerivWithinAt I I' f₁ t x f' := (h.mono h₁).congr_of_eventuallyEq (Filter.mem_inf_of_right ht) hx #align has_mfderiv_within_at.congr_mono HasMFDerivWithinAt.congr_mono theorem HasMFDerivAt.congr_of_eventuallyEq (h : HasMFDerivAt I I' f x f') (h₁ : f₁ =ᶠ[𝓝 x] f) : HasMFDerivAt I I' f₁ x f' := by rw [← hasMFDerivWithinAt_univ] at h ⊢ apply h.congr_of_eventuallyEq _ (mem_of_mem_nhds h₁ : _) rwa [nhdsWithin_univ] #align has_mfderiv_at.congr_of_eventually_eq HasMFDerivAt.congr_of_eventuallyEq theorem MDifferentiableWithinAt.congr_of_eventuallyEq (h : MDifferentiableWithinAt I I' f s x) (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) : MDifferentiableWithinAt I I' f₁ s x := (h.hasMFDerivWithinAt.congr_of_eventuallyEq h₁ hx).mdifferentiableWithinAt #align mdifferentiable_within_at.congr_of_eventually_eq MDifferentiableWithinAt.congr_of_eventuallyEq variable (I I') theorem Filter.EventuallyEq.mdifferentiableWithinAt_iff (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) : MDifferentiableWithinAt I I' f s x ↔ MDifferentiableWithinAt I I' f₁ s x := by constructor · intro h apply h.congr_of_eventuallyEq h₁ hx · intro h apply h.congr_of_eventuallyEq _ hx.symm apply h₁.mono intro y apply Eq.symm #align filter.eventually_eq.mdifferentiable_within_at_iff Filter.EventuallyEq.mdifferentiableWithinAt_iff variable {I I'} theorem MDifferentiableWithinAt.congr_mono (h : MDifferentiableWithinAt I I' f s x) (ht : ∀ x ∈ t, f₁ x = f x) (hx : f₁ x = f x) (h₁ : t ⊆ s) : MDifferentiableWithinAt I I' f₁ t x := (HasMFDerivWithinAt.congr_mono h.hasMFDerivWithinAt ht hx h₁).mdifferentiableWithinAt #align mdifferentiable_within_at.congr_mono MDifferentiableWithinAt.congr_mono theorem MDifferentiableWithinAt.congr (h : MDifferentiableWithinAt I I' f s x) (ht : ∀ x ∈ s, f₁ x = f x) (hx : f₁ x = f x) : MDifferentiableWithinAt I I' f₁ s x := (HasMFDerivWithinAt.congr_mono h.hasMFDerivWithinAt ht hx (Subset.refl _)).mdifferentiableWithinAt #align mdifferentiable_within_at.congr MDifferentiableWithinAt.congr theorem MDifferentiableOn.congr_mono (h : MDifferentiableOn I I' f s) (h' : ∀ x ∈ t, f₁ x = f x) (h₁ : t ⊆ s) : MDifferentiableOn I I' f₁ t := fun x hx => (h x (h₁ hx)).congr_mono h' (h' x hx) h₁ #align mdifferentiable_on.congr_mono MDifferentiableOn.congr_mono theorem MDifferentiableAt.congr_of_eventuallyEq (h : MDifferentiableAt I I' f x) (hL : f₁ =ᶠ[𝓝 x] f) : MDifferentiableAt I I' f₁ x := (h.hasMFDerivAt.congr_of_eventuallyEq hL).mdifferentiableAt #align mdifferentiable_at.congr_of_eventually_eq MDifferentiableAt.congr_of_eventuallyEq theorem MDifferentiableWithinAt.mfderivWithin_congr_mono (h : MDifferentiableWithinAt I I' f s x) (hs : ∀ x ∈ t, f₁ x = f x) (hx : f₁ x = f x) (hxt : UniqueMDiffWithinAt I t x) (h₁ : t ⊆ s) : mfderivWithin I I' f₁ t x = (mfderivWithin I I' f s x : _) := (HasMFDerivWithinAt.congr_mono h.hasMFDerivWithinAt hs hx h₁).mfderivWithin hxt #align mdifferentiable_within_at.mfderiv_within_congr_mono MDifferentiableWithinAt.mfderivWithin_congr_mono theorem Filter.EventuallyEq.mfderivWithin_eq (hs : UniqueMDiffWithinAt I s x) (hL : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) : mfderivWithin I I' f₁ s x = (mfderivWithin I I' f s x : _) := by by_cases h : MDifferentiableWithinAt I I' f s x · exact (h.hasMFDerivWithinAt.congr_of_eventuallyEq hL hx).mfderivWithin hs · unfold mfderivWithin rw [if_neg h, if_neg] rwa [← hL.mdifferentiableWithinAt_iff I I' hx] #align filter.eventually_eq.mfderiv_within_eq Filter.EventuallyEq.mfderivWithin_eq theorem mfderivWithin_congr (hs : UniqueMDiffWithinAt I s x) (hL : ∀ x ∈ s, f₁ x = f x) (hx : f₁ x = f x) : mfderivWithin I I' f₁ s x = (mfderivWithin I I' f s x : _) := Filter.EventuallyEq.mfderivWithin_eq hs (Filter.eventuallyEq_of_mem self_mem_nhdsWithin hL) hx #align mfderiv_within_congr mfderivWithin_congr theorem tangentMapWithin_congr (h : ∀ x ∈ s, f x = f₁ x) (p : TangentBundle I M) (hp : p.1 ∈ s) (hs : UniqueMDiffWithinAt I s p.1) : tangentMapWithin I I' f s p = tangentMapWithin I I' f₁ s p := by refine TotalSpace.ext _ _ (h p.1 hp) ?_ -- This used to be `simp only`, but we need `erw` after leanprover/lean4#2644 rw [tangentMapWithin, h p.1 hp, tangentMapWithin, mfderivWithin_congr hs h (h _ hp)] #align tangent_map_within_congr tangentMapWithin_congr theorem Filter.EventuallyEq.mfderiv_eq (hL : f₁ =ᶠ[𝓝 x] f) : mfderiv I I' f₁ x = (mfderiv I I' f x : _) := by have A : f₁ x = f x := (mem_of_mem_nhds hL : _) rw [← mfderivWithin_univ, ← mfderivWithin_univ] rw [← nhdsWithin_univ] at hL exact hL.mfderivWithin_eq (uniqueMDiffWithinAt_univ I) A #align filter.eventually_eq.mfderiv_eq Filter.EventuallyEq.mfderiv_eq theorem mfderiv_congr_point {x' : M} (h : x = x') : @Eq (E →L[𝕜] E') (mfderiv I I' f x) (mfderiv I I' f x') := by subst h; rfl #align mfderiv_congr_point mfderiv_congr_point theorem mfderiv_congr {f' : M → M'} (h : f = f') : @Eq (E →L[𝕜] E') (mfderiv I I' f x) (mfderiv I I' f' x) := by subst h; rfl #align mfderiv_congr mfderiv_congr theorem writtenInExtChartAt_comp (h : ContinuousWithinAt f s x) : {y | writtenInExtChartAt I I'' x (g ∘ f) y = (writtenInExtChartAt I' I'' (f x) g ∘ writtenInExtChartAt I I' x f) y} ∈ 𝓝[(extChartAt I x).symm ⁻¹' s ∩ range I] (extChartAt I x) x := by apply @Filter.mem_of_superset _ _ (f ∘ (extChartAt I x).symm ⁻¹' (extChartAt I' (f x)).source) _ (extChartAt_preimage_mem_nhdsWithin I (h.preimage_mem_nhdsWithin (extChartAt_source_mem_nhds _ _))) mfld_set_tac #align written_in_ext_chart_comp writtenInExtChartAt_comp variable (x) theorem HasMFDerivWithinAt.comp (hg : HasMFDerivWithinAt I' I'' g u (f x) g') (hf : HasMFDerivWithinAt I I' f s x f') (hst : s ⊆ f ⁻¹' u) : HasMFDerivWithinAt I I'' (g ∘ f) s x (g'.comp f') := by refine ⟨ContinuousWithinAt.comp hg.1 hf.1 hst, ?_⟩ have A : HasFDerivWithinAt (writtenInExtChartAt I' I'' (f x) g ∘ writtenInExtChartAt I I' x f) (ContinuousLinearMap.comp g' f' : E →L[𝕜] E'') ((extChartAt I x).symm ⁻¹' s ∩ range I) ((extChartAt I x) x) := by have : (extChartAt I x).symm ⁻¹' (f ⁻¹' (extChartAt I' (f x)).source) ∈ 𝓝[(extChartAt I x).symm ⁻¹' s ∩ range I] (extChartAt I x) x := extChartAt_preimage_mem_nhdsWithin I (hf.1.preimage_mem_nhdsWithin (extChartAt_source_mem_nhds _ _)) unfold HasMFDerivWithinAt at * rw [← hasFDerivWithinAt_inter' this, ← extChartAt_preimage_inter_eq] at hf ⊢ have : writtenInExtChartAt I I' x f ((extChartAt I x) x) = (extChartAt I' (f x)) (f x) := by simp only [mfld_simps] rw [← this] at hg apply HasFDerivWithinAt.comp ((extChartAt I x) x) hg.2 hf.2 _ intro y hy simp only [mfld_simps] at hy have : f (((chartAt H x).symm : H → M) (I.symm y)) ∈ u := hst hy.1.1 simp only [hy, this, mfld_simps] apply A.congr_of_eventuallyEq (writtenInExtChartAt_comp hf.1) simp only [mfld_simps] #align has_mfderiv_within_at.comp HasMFDerivWithinAt.comp theorem HasMFDerivAt.comp (hg : HasMFDerivAt I' I'' g (f x) g') (hf : HasMFDerivAt I I' f x f') : HasMFDerivAt I I'' (g ∘ f) x (g'.comp f') := by rw [← hasMFDerivWithinAt_univ] at * exact HasMFDerivWithinAt.comp x (hg.mono (subset_univ _)) hf subset_preimage_univ #align has_mfderiv_at.comp HasMFDerivAt.comp theorem HasMFDerivAt.comp_hasMFDerivWithinAt (hg : HasMFDerivAt I' I'' g (f x) g') (hf : HasMFDerivWithinAt I I' f s x f') : HasMFDerivWithinAt I I'' (g ∘ f) s x (g'.comp f') := by rw [← hasMFDerivWithinAt_univ] at * exact HasMFDerivWithinAt.comp x (hg.mono (subset_univ _)) hf subset_preimage_univ #align has_mfderiv_at.comp_has_mfderiv_within_at HasMFDerivAt.comp_hasMFDerivWithinAt theorem MDifferentiableWithinAt.comp (hg : MDifferentiableWithinAt I' I'' g u (f x)) (hf : MDifferentiableWithinAt I I' f s x) (h : s ⊆ f ⁻¹' u) : MDifferentiableWithinAt I I'' (g ∘ f) s x := by rcases hf.2 with ⟨f', hf'⟩ have F : HasMFDerivWithinAt I I' f s x f' := ⟨hf.1, hf'⟩ rcases hg.2 with ⟨g', hg'⟩ have G : HasMFDerivWithinAt I' I'' g u (f x) g' := ⟨hg.1, hg'⟩ exact (HasMFDerivWithinAt.comp x G F h).mdifferentiableWithinAt #align mdifferentiable_within_at.comp MDifferentiableWithinAt.comp theorem MDifferentiableAt.comp (hg : MDifferentiableAt I' I'' g (f x)) (hf : MDifferentiableAt I I' f x) : MDifferentiableAt I I'' (g ∘ f) x := (hg.hasMFDerivAt.comp x hf.hasMFDerivAt).mdifferentiableAt #align mdifferentiable_at.comp MDifferentiableAt.comp
Mathlib/Geometry/Manifold/MFDeriv/Basic.lean
726
731
theorem mfderivWithin_comp (hg : MDifferentiableWithinAt I' I'' g u (f x)) (hf : MDifferentiableWithinAt I I' f s x) (h : s ⊆ f ⁻¹' u) (hxs : UniqueMDiffWithinAt I s x) : mfderivWithin I I'' (g ∘ f) s x = (mfderivWithin I' I'' g u (f x)).comp (mfderivWithin I I' f s x) := by
apply HasMFDerivWithinAt.mfderivWithin _ hxs exact HasMFDerivWithinAt.comp x hg.hasMFDerivWithinAt hf.hasMFDerivWithinAt h
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Data.Finite.Card #align_import group_theory.subgroup.finite from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6" variable {G : Type*} [Group G] variable {A : Type*} [AddGroup A] namespace Subgroup namespace Subgroup section Normalizer
Mathlib/Algebra/Group/Subgroup/Finite.lean
259
270
theorem mem_normalizer_fintype {S : Set G} [Finite S] {x : G} (h : ∀ n, n ∈ S → x * n * x⁻¹ ∈ S) : x ∈ Subgroup.setNormalizer S := by
haveI := Classical.propDecidable; cases nonempty_fintype S; haveI := Set.fintypeImage S fun n => x * n * x⁻¹; exact fun n => ⟨h n, fun h₁ => have heq : (fun n => x * n * x⁻¹) '' S = S := Set.eq_of_subset_of_card_le (fun n ⟨y, hy⟩ => hy.2 ▸ h y hy.1) (by rw [Set.card_image_of_injective S conj_injective]) have : x * n * x⁻¹ ∈ (fun n => x * n * x⁻¹) '' S := heq.symm ▸ h₁ let ⟨y, hy⟩ := this conj_injective hy.2 ▸ hy.1⟩
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Analysis.SpecialFunctions.Sqrt import Mathlib.Analysis.NormedSpace.HomeomorphBall #align_import analysis.inner_product_space.calculus from "leanprover-community/mathlib"@"f9dd3204df14a0749cd456fac1e6849dfe7d2b88" noncomputable section open RCLike Real Filter open scoped Classical Topology section DerivInner variable {𝕜 E F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable [NormedAddCommGroup F] [InnerProductSpace ℝ F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y variable (𝕜) [NormedSpace ℝ E] def fderivInnerCLM (p : E × E) : E × E →L[ℝ] 𝕜 := isBoundedBilinearMap_inner.deriv p #align fderiv_inner_clm fderivInnerCLM @[simp] theorem fderivInnerCLM_apply (p x : E × E) : fderivInnerCLM 𝕜 p x = ⟪p.1, x.2⟫ + ⟪x.1, p.2⟫ := rfl #align fderiv_inner_clm_apply fderivInnerCLM_apply variable {𝕜} -- Porting note: Lean 3 magically switches back to `{𝕜}` here theorem contDiff_inner {n} : ContDiff ℝ n fun p : E × E => ⟪p.1, p.2⟫ := isBoundedBilinearMap_inner.contDiff #align cont_diff_inner contDiff_inner theorem contDiffAt_inner {p : E × E} {n} : ContDiffAt ℝ n (fun p : E × E => ⟪p.1, p.2⟫) p := ContDiff.contDiffAt contDiff_inner #align cont_diff_at_inner contDiffAt_inner theorem differentiable_inner : Differentiable ℝ fun p : E × E => ⟪p.1, p.2⟫ := isBoundedBilinearMap_inner.differentiableAt #align differentiable_inner differentiable_inner variable (𝕜) variable {G : Type*} [NormedAddCommGroup G] [NormedSpace ℝ G] {f g : G → E} {f' g' : G →L[ℝ] E} {s : Set G} {x : G} {n : ℕ∞} theorem ContDiffWithinAt.inner (hf : ContDiffWithinAt ℝ n f s x) (hg : ContDiffWithinAt ℝ n g s x) : ContDiffWithinAt ℝ n (fun x => ⟪f x, g x⟫) s x := contDiffAt_inner.comp_contDiffWithinAt x (hf.prod hg) #align cont_diff_within_at.inner ContDiffWithinAt.inner nonrec theorem ContDiffAt.inner (hf : ContDiffAt ℝ n f x) (hg : ContDiffAt ℝ n g x) : ContDiffAt ℝ n (fun x => ⟪f x, g x⟫) x := hf.inner 𝕜 hg #align cont_diff_at.inner ContDiffAt.inner theorem ContDiffOn.inner (hf : ContDiffOn ℝ n f s) (hg : ContDiffOn ℝ n g s) : ContDiffOn ℝ n (fun x => ⟪f x, g x⟫) s := fun x hx => (hf x hx).inner 𝕜 (hg x hx) #align cont_diff_on.inner ContDiffOn.inner theorem ContDiff.inner (hf : ContDiff ℝ n f) (hg : ContDiff ℝ n g) : ContDiff ℝ n fun x => ⟪f x, g x⟫ := contDiff_inner.comp (hf.prod hg) #align cont_diff.inner ContDiff.inner theorem HasFDerivWithinAt.inner (hf : HasFDerivWithinAt f f' s x) (hg : HasFDerivWithinAt g g' s x) : HasFDerivWithinAt (fun t => ⟪f t, g t⟫) ((fderivInnerCLM 𝕜 (f x, g x)).comp <| f'.prod g') s x := (isBoundedBilinearMap_inner.hasFDerivAt (f x, g x)).comp_hasFDerivWithinAt x (hf.prod hg) #align has_fderiv_within_at.inner HasFDerivWithinAt.inner theorem HasStrictFDerivAt.inner (hf : HasStrictFDerivAt f f' x) (hg : HasStrictFDerivAt g g' x) : HasStrictFDerivAt (fun t => ⟪f t, g t⟫) ((fderivInnerCLM 𝕜 (f x, g x)).comp <| f'.prod g') x := (isBoundedBilinearMap_inner.hasStrictFDerivAt (f x, g x)).comp x (hf.prod hg) #align has_strict_fderiv_at.inner HasStrictFDerivAt.inner theorem HasFDerivAt.inner (hf : HasFDerivAt f f' x) (hg : HasFDerivAt g g' x) : HasFDerivAt (fun t => ⟪f t, g t⟫) ((fderivInnerCLM 𝕜 (f x, g x)).comp <| f'.prod g') x := (isBoundedBilinearMap_inner.hasFDerivAt (f x, g x)).comp x (hf.prod hg) #align has_fderiv_at.inner HasFDerivAt.inner theorem HasDerivWithinAt.inner {f g : ℝ → E} {f' g' : E} {s : Set ℝ} {x : ℝ} (hf : HasDerivWithinAt f f' s x) (hg : HasDerivWithinAt g g' s x) : HasDerivWithinAt (fun t => ⟪f t, g t⟫) (⟪f x, g'⟫ + ⟪f', g x⟫) s x := by simpa using (hf.hasFDerivWithinAt.inner 𝕜 hg.hasFDerivWithinAt).hasDerivWithinAt #align has_deriv_within_at.inner HasDerivWithinAt.inner theorem HasDerivAt.inner {f g : ℝ → E} {f' g' : E} {x : ℝ} : HasDerivAt f f' x → HasDerivAt g g' x → HasDerivAt (fun t => ⟪f t, g t⟫) (⟪f x, g'⟫ + ⟪f', g x⟫) x := by simpa only [← hasDerivWithinAt_univ] using HasDerivWithinAt.inner 𝕜 #align has_deriv_at.inner HasDerivAt.inner theorem DifferentiableWithinAt.inner (hf : DifferentiableWithinAt ℝ f s x) (hg : DifferentiableWithinAt ℝ g s x) : DifferentiableWithinAt ℝ (fun x => ⟪f x, g x⟫) s x := ((differentiable_inner _).hasFDerivAt.comp_hasFDerivWithinAt x (hf.prod hg).hasFDerivWithinAt).differentiableWithinAt #align differentiable_within_at.inner DifferentiableWithinAt.inner theorem DifferentiableAt.inner (hf : DifferentiableAt ℝ f x) (hg : DifferentiableAt ℝ g x) : DifferentiableAt ℝ (fun x => ⟪f x, g x⟫) x := (differentiable_inner _).comp x (hf.prod hg) #align differentiable_at.inner DifferentiableAt.inner theorem DifferentiableOn.inner (hf : DifferentiableOn ℝ f s) (hg : DifferentiableOn ℝ g s) : DifferentiableOn ℝ (fun x => ⟪f x, g x⟫) s := fun x hx => (hf x hx).inner 𝕜 (hg x hx) #align differentiable_on.inner DifferentiableOn.inner theorem Differentiable.inner (hf : Differentiable ℝ f) (hg : Differentiable ℝ g) : Differentiable ℝ fun x => ⟪f x, g x⟫ := fun x => (hf x).inner 𝕜 (hg x) #align differentiable.inner Differentiable.inner theorem fderiv_inner_apply (hf : DifferentiableAt ℝ f x) (hg : DifferentiableAt ℝ g x) (y : G) : fderiv ℝ (fun t => ⟪f t, g t⟫) x y = ⟪f x, fderiv ℝ g x y⟫ + ⟪fderiv ℝ f x y, g x⟫ := by rw [(hf.hasFDerivAt.inner 𝕜 hg.hasFDerivAt).fderiv]; rfl #align fderiv_inner_apply fderiv_inner_apply theorem deriv_inner_apply {f g : ℝ → E} {x : ℝ} (hf : DifferentiableAt ℝ f x) (hg : DifferentiableAt ℝ g x) : deriv (fun t => ⟪f t, g t⟫) x = ⟪f x, deriv g x⟫ + ⟪deriv f x, g x⟫ := (hf.hasDerivAt.inner 𝕜 hg.hasDerivAt).deriv #align deriv_inner_apply deriv_inner_apply theorem contDiff_norm_sq : ContDiff ℝ n fun x : E => ‖x‖ ^ 2 := by convert (reCLM : 𝕜 →L[ℝ] ℝ).contDiff.comp ((contDiff_id (E := E)).inner 𝕜 (contDiff_id (E := E))) exact (inner_self_eq_norm_sq _).symm #align cont_diff_norm_sq contDiff_norm_sq theorem ContDiff.norm_sq (hf : ContDiff ℝ n f) : ContDiff ℝ n fun x => ‖f x‖ ^ 2 := (contDiff_norm_sq 𝕜).comp hf #align cont_diff.norm_sq ContDiff.norm_sq theorem ContDiffWithinAt.norm_sq (hf : ContDiffWithinAt ℝ n f s x) : ContDiffWithinAt ℝ n (fun y => ‖f y‖ ^ 2) s x := (contDiff_norm_sq 𝕜).contDiffAt.comp_contDiffWithinAt x hf #align cont_diff_within_at.norm_sq ContDiffWithinAt.norm_sq nonrec theorem ContDiffAt.norm_sq (hf : ContDiffAt ℝ n f x) : ContDiffAt ℝ n (‖f ·‖ ^ 2) x := hf.norm_sq 𝕜 #align cont_diff_at.norm_sq ContDiffAt.norm_sq theorem contDiffAt_norm {x : E} (hx : x ≠ 0) : ContDiffAt ℝ n norm x := by have : ‖id x‖ ^ 2 ≠ 0 := pow_ne_zero 2 (norm_pos_iff.2 hx).ne' simpa only [id, sqrt_sq, norm_nonneg] using (contDiffAt_id.norm_sq 𝕜).sqrt this #align cont_diff_at_norm contDiffAt_norm theorem ContDiffAt.norm (hf : ContDiffAt ℝ n f x) (h0 : f x ≠ 0) : ContDiffAt ℝ n (fun y => ‖f y‖) x := (contDiffAt_norm 𝕜 h0).comp x hf #align cont_diff_at.norm ContDiffAt.norm theorem ContDiffAt.dist (hf : ContDiffAt ℝ n f x) (hg : ContDiffAt ℝ n g x) (hne : f x ≠ g x) : ContDiffAt ℝ n (fun y => dist (f y) (g y)) x := by simp only [dist_eq_norm] exact (hf.sub hg).norm 𝕜 (sub_ne_zero.2 hne) #align cont_diff_at.dist ContDiffAt.dist theorem ContDiffWithinAt.norm (hf : ContDiffWithinAt ℝ n f s x) (h0 : f x ≠ 0) : ContDiffWithinAt ℝ n (fun y => ‖f y‖) s x := (contDiffAt_norm 𝕜 h0).comp_contDiffWithinAt x hf #align cont_diff_within_at.norm ContDiffWithinAt.norm theorem ContDiffWithinAt.dist (hf : ContDiffWithinAt ℝ n f s x) (hg : ContDiffWithinAt ℝ n g s x) (hne : f x ≠ g x) : ContDiffWithinAt ℝ n (fun y => dist (f y) (g y)) s x := by simp only [dist_eq_norm]; exact (hf.sub hg).norm 𝕜 (sub_ne_zero.2 hne) #align cont_diff_within_at.dist ContDiffWithinAt.dist theorem ContDiffOn.norm_sq (hf : ContDiffOn ℝ n f s) : ContDiffOn ℝ n (fun y => ‖f y‖ ^ 2) s := fun x hx => (hf x hx).norm_sq 𝕜 #align cont_diff_on.norm_sq ContDiffOn.norm_sq theorem ContDiffOn.norm (hf : ContDiffOn ℝ n f s) (h0 : ∀ x ∈ s, f x ≠ 0) : ContDiffOn ℝ n (fun y => ‖f y‖) s := fun x hx => (hf x hx).norm 𝕜 (h0 x hx) #align cont_diff_on.norm ContDiffOn.norm theorem ContDiffOn.dist (hf : ContDiffOn ℝ n f s) (hg : ContDiffOn ℝ n g s) (hne : ∀ x ∈ s, f x ≠ g x) : ContDiffOn ℝ n (fun y => dist (f y) (g y)) s := fun x hx => (hf x hx).dist 𝕜 (hg x hx) (hne x hx) #align cont_diff_on.dist ContDiffOn.dist theorem ContDiff.norm (hf : ContDiff ℝ n f) (h0 : ∀ x, f x ≠ 0) : ContDiff ℝ n fun y => ‖f y‖ := contDiff_iff_contDiffAt.2 fun x => hf.contDiffAt.norm 𝕜 (h0 x) #align cont_diff.norm ContDiff.norm theorem ContDiff.dist (hf : ContDiff ℝ n f) (hg : ContDiff ℝ n g) (hne : ∀ x, f x ≠ g x) : ContDiff ℝ n fun y => dist (f y) (g y) := contDiff_iff_contDiffAt.2 fun x => hf.contDiffAt.dist 𝕜 hg.contDiffAt (hne x) #align cont_diff.dist ContDiff.dist -- Porting note: use `2 •` instead of `bit0` theorem hasStrictFDerivAt_norm_sq (x : F) : HasStrictFDerivAt (fun x => ‖x‖ ^ 2) (2 • (innerSL ℝ x)) x := by simp only [sq, ← @inner_self_eq_norm_mul_norm ℝ] convert (hasStrictFDerivAt_id x).inner ℝ (hasStrictFDerivAt_id x) ext y simp [two_smul, real_inner_comm] #align has_strict_fderiv_at_norm_sq hasStrictFDerivAt_norm_sqₓ theorem HasFDerivAt.norm_sq {f : G → F} {f' : G →L[ℝ] F} (hf : HasFDerivAt f f' x) : HasFDerivAt (‖f ·‖ ^ 2) (2 • (innerSL ℝ (f x)).comp f') x := (hasStrictFDerivAt_norm_sq _).hasFDerivAt.comp x hf
Mathlib/Analysis/InnerProductSpace/Calculus.lean
230
232
theorem HasDerivAt.norm_sq {f : ℝ → F} {f' : F} {x : ℝ} (hf : HasDerivAt f f' x) : HasDerivAt (‖f ·‖ ^ 2) (2 * Inner.inner (f x) f') x := by
simpa using hf.hasFDerivAt.norm_sq.hasDerivAt
import Mathlib.CategoryTheory.Products.Basic #align_import category_theory.products.bifunctor from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" open CategoryTheory namespace CategoryTheory.Bifunctor universe v₁ v₂ v₃ u₁ u₂ u₃ variable {C : Type u₁} {D : Type u₂} {E : Type u₃} variable [Category.{v₁} C] [Category.{v₂} D] [Category.{v₃} E] @[simp] theorem map_id (F : C × D ⥤ E) (X : C) (Y : D) : F.map ((𝟙 X, 𝟙 Y) : (X, Y) ⟶ (X, Y)) = 𝟙 (F.obj (X, Y)) := F.map_id (X, Y) #align category_theory.bifunctor.map_id CategoryTheory.Bifunctor.map_id @[simp]
Mathlib/CategoryTheory/Products/Bifunctor.lean
31
34
theorem map_id_comp (F : C × D ⥤ E) (W : C) {X Y Z : D} (f : X ⟶ Y) (g : Y ⟶ Z) : F.map ((𝟙 W, f ≫ g) : (W, X) ⟶ (W, Z)) = F.map ((𝟙 W, f) : (W, X) ⟶ (W, Y)) ≫ F.map ((𝟙 W, g) : (W, Y) ⟶ (W, Z)) := by
rw [← Functor.map_comp, prod_comp, Category.comp_id]
import Mathlib.MeasureTheory.Decomposition.SignedLebesgue import Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure #align_import measure_theory.decomposition.radon_nikodym from "leanprover-community/mathlib"@"fc75855907eaa8ff39791039710f567f37d4556f" noncomputable section open scoped Classical MeasureTheory NNReal ENNReal variable {α β : Type*} {m : MeasurableSpace α} namespace MeasureTheory namespace Measure theorem withDensity_rnDeriv_eq (μ ν : Measure α) [HaveLebesgueDecomposition μ ν] (h : μ ≪ ν) : ν.withDensity (rnDeriv μ ν) = μ := by suffices μ.singularPart ν = 0 by conv_rhs => rw [haveLebesgueDecomposition_add μ ν, this, zero_add] suffices μ.singularPart ν Set.univ = 0 by simpa using this have h_sing := mutuallySingular_singularPart μ ν rw [← measure_add_measure_compl h_sing.measurableSet_nullSet] simp only [MutuallySingular.measure_nullSet, zero_add] refine le_antisymm ?_ (zero_le _) refine (singularPart_le μ ν ?_ ).trans_eq ?_ exact h h_sing.measure_compl_nullSet #align measure_theory.measure.with_density_rn_deriv_eq MeasureTheory.Measure.withDensity_rnDeriv_eq variable {μ ν : Measure α} theorem absolutelyContinuous_iff_withDensity_rnDeriv_eq [HaveLebesgueDecomposition μ ν] : μ ≪ ν ↔ ν.withDensity (rnDeriv μ ν) = μ := ⟨withDensity_rnDeriv_eq μ ν, fun h => h ▸ withDensity_absolutelyContinuous _ _⟩ #align measure_theory.measure.absolutely_continuous_iff_with_density_rn_deriv_eq MeasureTheory.Measure.absolutelyContinuous_iff_withDensity_rnDeriv_eq lemma rnDeriv_pos [HaveLebesgueDecomposition μ ν] (hμν : μ ≪ ν) : ∀ᵐ x ∂μ, 0 < μ.rnDeriv ν x := by rw [← Measure.withDensity_rnDeriv_eq _ _ hμν, ae_withDensity_iff (Measure.measurable_rnDeriv _ _), Measure.withDensity_rnDeriv_eq _ _ hμν] exact ae_of_all _ (fun x hx ↦ lt_of_le_of_ne (zero_le _) hx.symm) lemma rnDeriv_pos' [SigmaFinite μ] [SigmaFinite ν] (hμν : μ ≪ ν) : ∀ᵐ x ∂μ, 0 < ν.rnDeriv μ x := by refine (absolutelyContinuous_withDensity_rnDeriv hμν).ae_le ?_ filter_upwards [Measure.rnDeriv_pos (withDensity_absolutelyContinuous μ (ν.rnDeriv μ)), (withDensity_absolutelyContinuous μ (ν.rnDeriv μ)).ae_le (Measure.rnDeriv_withDensity μ (Measure.measurable_rnDeriv ν μ))] with x hx hx2 rwa [← hx2] lemma rnDeriv_eq_zero_of_mutuallySingular [SigmaFinite μ] {ν' : Measure α} [SigmaFinite ν'] (h : μ ⟂ₘ ν) (hνν' : ν ≪ ν') : μ.rnDeriv ν' =ᵐ[ν] 0 := by let t := h.nullSet have ht : MeasurableSet t := h.measurableSet_nullSet refine ae_of_ae_restrict_of_ae_restrict_compl t ?_ (by simp [t]) change μ.rnDeriv ν' =ᵐ[ν.restrict t] 0 have : μ.rnDeriv ν' =ᵐ[ν.restrict t] (μ.restrict t).rnDeriv ν' := by have h : (μ.restrict t).rnDeriv ν' =ᵐ[ν] t.indicator (μ.rnDeriv ν') := hνν'.ae_le (rnDeriv_restrict μ ν' ht) rw [Filter.EventuallyEq, ae_restrict_iff' ht] filter_upwards [h] with x hx hxt rw [hx, Set.indicator_of_mem hxt] refine this.trans ?_ simp only [t, MutuallySingular.restrict_nullSet] suffices (0 : Measure α).rnDeriv ν' =ᵐ[ν'] 0 by have h_ac' : ν.restrict t ≪ ν' := restrict_le_self.absolutelyContinuous.trans hνν' exact h_ac'.ae_le this exact rnDeriv_zero _ lemma rnDeriv_add_right_of_absolutelyContinuous_of_mutuallySingular {ν' : Measure α} [SigmaFinite μ] [SigmaFinite ν] [SigmaFinite ν'] (hμν : μ ≪ ν) (hνν' : ν ⟂ₘ ν') : μ.rnDeriv (ν + ν') =ᵐ[ν] μ.rnDeriv ν := by let t := hνν'.nullSet have ht : MeasurableSet t := hνν'.measurableSet_nullSet refine ae_of_ae_restrict_of_ae_restrict_compl t (by simp [t]) ?_ change μ.rnDeriv (ν + ν') =ᵐ[ν.restrict tᶜ] μ.rnDeriv ν rw [← withDensity_eq_iff_of_sigmaFinite (μ := ν.restrict tᶜ) (Measure.measurable_rnDeriv _ _).aemeasurable (Measure.measurable_rnDeriv _ _).aemeasurable] have : (ν.restrict tᶜ).withDensity (μ.rnDeriv (ν + ν')) = ((ν + ν').restrict tᶜ).withDensity (μ.rnDeriv (ν + ν')) := by simp [t] rw [this, ← restrict_withDensity ht.compl, ← restrict_withDensity ht.compl, Measure.withDensity_rnDeriv_eq _ _ (hμν.add_right ν'), Measure.withDensity_rnDeriv_eq _ _ hμν] lemma rnDeriv_add_right_of_mutuallySingular' {ν' : Measure α} [SigmaFinite μ] [SigmaFinite ν] [SigmaFinite ν'] (hμν' : μ ⟂ₘ ν') (hνν' : ν ⟂ₘ ν') : μ.rnDeriv (ν + ν') =ᵐ[ν] μ.rnDeriv ν := by have h_ac : ν ≪ ν + ν' := Measure.AbsolutelyContinuous.rfl.add_right _ rw [haveLebesgueDecomposition_add μ ν] have h₁ := rnDeriv_add' (μ.singularPart ν) (ν.withDensity (μ.rnDeriv ν)) (ν + ν') have h₂ := rnDeriv_add' (μ.singularPart ν) (ν.withDensity (μ.rnDeriv ν)) ν refine (Filter.EventuallyEq.trans (h_ac.ae_le h₁) ?_).trans h₂.symm simp only [Pi.add_apply] have h₃ := rnDeriv_add_right_of_absolutelyContinuous_of_mutuallySingular (withDensity_absolutelyContinuous ν (μ.rnDeriv ν)) hνν' have h₄ : (μ.singularPart ν).rnDeriv (ν + ν') =ᵐ[ν] 0 := by refine h_ac.ae_eq ?_ simp only [rnDeriv_eq_zero, MutuallySingular.add_right_iff] exact ⟨mutuallySingular_singularPart μ ν, hμν'.singularPart ν⟩ have h₅ : (μ.singularPart ν).rnDeriv ν =ᵐ[ν] 0 := rnDeriv_singularPart μ ν filter_upwards [h₃, h₄, h₅] with x hx₃ hx₄ hx₅ rw [hx₃, hx₄, Pi.add_apply, hx₅] lemma rnDeriv_add_right_of_mutuallySingular {ν' : Measure α} [SigmaFinite μ] [SigmaFinite ν] [SigmaFinite ν'] (hνν' : ν ⟂ₘ ν') : μ.rnDeriv (ν + ν') =ᵐ[ν] μ.rnDeriv ν := by have h_ac : ν ≪ ν + ν' := Measure.AbsolutelyContinuous.rfl.add_right _ rw [haveLebesgueDecomposition_add μ ν'] have h₁ := rnDeriv_add' (μ.singularPart ν') (ν'.withDensity (μ.rnDeriv ν')) (ν + ν') have h₂ := rnDeriv_add' (μ.singularPart ν') (ν'.withDensity (μ.rnDeriv ν')) ν refine (Filter.EventuallyEq.trans (h_ac.ae_le h₁) ?_).trans h₂.symm have h₃ := rnDeriv_add_right_of_mutuallySingular' (?_ : μ.singularPart ν' ⟂ₘ ν') hνν' · have h₄ : (ν'.withDensity (rnDeriv μ ν')).rnDeriv (ν + ν') =ᵐ[ν] 0 := by refine rnDeriv_eq_zero_of_mutuallySingular ?_ h_ac exact hνν'.symm.withDensity have h₅ : (ν'.withDensity (rnDeriv μ ν')).rnDeriv ν =ᵐ[ν] 0 := by rw [rnDeriv_eq_zero] exact hνν'.symm.withDensity filter_upwards [h₃, h₄, h₅] with x hx₃ hx₄ hx₅ rw [Pi.add_apply, Pi.add_apply, hx₃, hx₄, hx₅] exact mutuallySingular_singularPart μ ν' lemma rnDeriv_withDensity_rnDeriv [SigmaFinite μ] [SigmaFinite ν] (hμν : μ ≪ ν) : μ.rnDeriv (μ.withDensity (ν.rnDeriv μ)) =ᵐ[μ] μ.rnDeriv ν := by conv_rhs => rw [ν.haveLebesgueDecomposition_add μ, add_comm] refine (absolutelyContinuous_withDensity_rnDeriv hμν).ae_eq ?_ exact (rnDeriv_add_right_of_mutuallySingular (Measure.mutuallySingular_singularPart ν μ).symm.withDensity).symm lemma inv_rnDeriv_aux [SigmaFinite μ] [SigmaFinite ν] (hμν : μ ≪ ν) (hνμ : ν ≪ μ) : (μ.rnDeriv ν)⁻¹ =ᵐ[μ] ν.rnDeriv μ := by suffices μ.withDensity (μ.rnDeriv ν)⁻¹ = μ.withDensity (ν.rnDeriv μ) by calc (μ.rnDeriv ν)⁻¹ =ᵐ[μ] (μ.withDensity (μ.rnDeriv ν)⁻¹).rnDeriv μ := (rnDeriv_withDensity _ (measurable_rnDeriv _ _).inv).symm _ = (μ.withDensity (ν.rnDeriv μ)).rnDeriv μ := by rw [this] _ =ᵐ[μ] ν.rnDeriv μ := rnDeriv_withDensity _ (measurable_rnDeriv _ _) rw [withDensity_rnDeriv_eq _ _ hνμ, ← withDensity_rnDeriv_eq _ _ hμν] conv in ((ν.withDensity (μ.rnDeriv ν)).rnDeriv ν)⁻¹ => rw [withDensity_rnDeriv_eq _ _ hμν] change (ν.withDensity (μ.rnDeriv ν)).withDensity (fun x ↦ (μ.rnDeriv ν x)⁻¹) = ν rw [withDensity_inv_same (measurable_rnDeriv _ _) (by filter_upwards [hνμ.ae_le (rnDeriv_pos hμν)] with x hx using hx.ne') (rnDeriv_ne_top _ _)] lemma inv_rnDeriv [SigmaFinite μ] [SigmaFinite ν] (hμν : μ ≪ ν) : (μ.rnDeriv ν)⁻¹ =ᵐ[μ] ν.rnDeriv μ := by suffices (μ.rnDeriv ν)⁻¹ =ᵐ[μ] (μ.rnDeriv (μ.withDensity (ν.rnDeriv μ)))⁻¹ ∧ ν.rnDeriv μ =ᵐ[μ] (μ.withDensity (ν.rnDeriv μ)).rnDeriv μ by refine (this.1.trans (Filter.EventuallyEq.trans ?_ this.2.symm)) exact Measure.inv_rnDeriv_aux (absolutelyContinuous_withDensity_rnDeriv hμν) (withDensity_absolutelyContinuous _ _) constructor · filter_upwards [rnDeriv_withDensity_rnDeriv hμν] with x hx simp only [Pi.inv_apply, inv_inj] exact hx.symm · exact (Measure.rnDeriv_withDensity μ (Measure.measurable_rnDeriv ν μ)).symm lemma inv_rnDeriv' [SigmaFinite μ] [SigmaFinite ν] (hμν : μ ≪ ν) : (ν.rnDeriv μ)⁻¹ =ᵐ[μ] μ.rnDeriv ν := by filter_upwards [inv_rnDeriv hμν] with x hx; simp only [Pi.inv_apply, ← hx, inv_inv] section IntegralRNDerivMul open Measure variable {α : Type*} {m : MeasurableSpace α} {μ ν : Measure α} theorem lintegral_rnDeriv_mul [HaveLebesgueDecomposition μ ν] (hμν : μ ≪ ν) {f : α → ℝ≥0∞} (hf : AEMeasurable f ν) : ∫⁻ x, μ.rnDeriv ν x * f x ∂ν = ∫⁻ x, f x ∂μ := by nth_rw 2 [← withDensity_rnDeriv_eq μ ν hμν] rw [lintegral_withDensity_eq_lintegral_mul₀ (measurable_rnDeriv μ ν).aemeasurable hf] rfl lemma set_lintegral_rnDeriv_mul [HaveLebesgueDecomposition μ ν] (hμν : μ ≪ ν) {f : α → ℝ≥0∞} (hf : AEMeasurable f ν) {s : Set α} (hs : MeasurableSet s) : ∫⁻ x in s, μ.rnDeriv ν x * f x ∂ν = ∫⁻ x in s, f x ∂μ := by nth_rw 2 [← Measure.withDensity_rnDeriv_eq μ ν hμν] rw [set_lintegral_withDensity_eq_lintegral_mul₀ (measurable_rnDeriv μ ν).aemeasurable hf hs] simp only [Pi.mul_apply] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] theorem integrable_rnDeriv_smul_iff [HaveLebesgueDecomposition μ ν] (hμν : μ ≪ ν) [SigmaFinite μ] {f : α → E} : Integrable (fun x ↦ (μ.rnDeriv ν x).toReal • f x) ν ↔ Integrable f μ := by nth_rw 2 [← withDensity_rnDeriv_eq μ ν hμν] rw [← integrable_withDensity_iff_integrable_smul' (E := E) (measurable_rnDeriv μ ν) (rnDeriv_lt_top μ ν)] theorem withDensityᵥ_rnDeriv_smul [HaveLebesgueDecomposition μ ν] (hμν : μ ≪ ν) [SigmaFinite μ] {f : α → E} (hf : Integrable f μ) : ν.withDensityᵥ (fun x ↦ (rnDeriv μ ν x).toReal • f x) = μ.withDensityᵥ f := by rw [withDensityᵥ_smul_eq_withDensityᵥ_withDensity' (measurable_rnDeriv μ ν).aemeasurable (rnDeriv_lt_top μ ν) ((integrable_rnDeriv_smul_iff hμν).mpr hf), withDensity_rnDeriv_eq μ ν hμν]
Mathlib/MeasureTheory/Decomposition/RadonNikodym.lean
479
487
theorem integral_rnDeriv_smul [HaveLebesgueDecomposition μ ν] (hμν : μ ≪ ν) [SigmaFinite μ] {f : α → E} : ∫ x, (μ.rnDeriv ν x).toReal • f x ∂ν = ∫ x, f x ∂μ := by
by_cases hf : Integrable f μ · rw [← integral_univ, ← withDensityᵥ_apply ((integrable_rnDeriv_smul_iff hμν).mpr hf) .univ, ← integral_univ, ← withDensityᵥ_apply hf .univ, withDensityᵥ_rnDeriv_smul hμν hf] · rw [integral_undef hf, integral_undef] contrapose! hf exact (integrable_rnDeriv_smul_iff hμν).mp hf
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products import Mathlib.CategoryTheory.Limits.ConcreteCategory import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Limits.Shapes.Kernels universe w v u t r namespace CategoryTheory.Limits.Concrete attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort variable {C : Type u} [Category.{v} C] section Products section Multiequalizer variable [ConcreteCategory.{max w v} C]
Mathlib/CategoryTheory/Limits/Shapes/ConcreteCategory.lean
252
259
theorem multiequalizer_ext {I : MulticospanIndex.{w} C} [HasMultiequalizer I] [PreservesLimit I.multicospan (forget C)] (x y : ↑(multiequalizer I)) (h : ∀ t : I.L, Multiequalizer.ι I t x = Multiequalizer.ι I t y) : x = y := by
apply Concrete.limit_ext rintro (a | b) · apply h · rw [← limit.w I.multicospan (WalkingMulticospan.Hom.fst b), comp_apply, comp_apply] simp [h]
import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.CategoryTheory.Bicategory.Functor.Pseudofunctor #align_import category_theory.with_terminal from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" namespace CategoryTheory universe v u variable (C : Type u) [Category.{v} C] inductive WithTerminal : Type u | of : C → WithTerminal | star : WithTerminal deriving Inhabited #align category_theory.with_terminal CategoryTheory.WithTerminal attribute [local aesop safe cases (rule_sets := [CategoryTheory])] WithTerminal inductive WithInitial : Type u | of : C → WithInitial | star : WithInitial deriving Inhabited #align category_theory.with_initial CategoryTheory.WithInitial attribute [local aesop safe cases (rule_sets := [CategoryTheory])] WithInitial namespace WithTerminal variable {C} -- Porting note(#5171): removed `nolint has_nonempty_instance` @[simp] def Hom : WithTerminal C → WithTerminal C → Type v | of X, of Y => X ⟶ Y | star, of _ => PEmpty | _, star => PUnit #align category_theory.with_terminal.hom CategoryTheory.WithTerminal.Hom @[simp] def id : ∀ X : WithTerminal C, Hom X X | of _ => 𝟙 _ | star => PUnit.unit #align category_theory.with_terminal.id CategoryTheory.WithTerminal.id @[simp] def comp : ∀ {X Y Z : WithTerminal C}, Hom X Y → Hom Y Z → Hom X Z | of _X, of _Y, of _Z => fun f g => f ≫ g | of _X, _, star => fun _f _g => PUnit.unit | star, of _X, _ => fun f _g => PEmpty.elim f | _, star, of _Y => fun _f g => PEmpty.elim g | star, star, star => fun _ _ => PUnit.unit #align category_theory.with_terminal.comp CategoryTheory.WithTerminal.comp instance : Category.{v} (WithTerminal C) where Hom X Y := Hom X Y id X := id _ comp := comp assoc {a b c d} f g h := by -- Porting note: it would be nice to automate this away as well. -- I tried splitting this into separate `Quiver` and `Category` instances, -- so the `false_of_from_star` destruct rule below can be used here. -- That works, but causes mysterious failures of `aesop_cat` in `map`. cases a <;> cases b <;> cases c <;> cases d <;> try aesop_cat · exact (h : PEmpty).elim · exact (g : PEmpty).elim · exact (h : PEmpty).elim def down {X Y : C} (f : of X ⟶ of Y) : X ⟶ Y := f @[simp] lemma down_id {X : C} : down (𝟙 (of X)) = 𝟙 X := rfl @[simp] lemma down_comp {X Y Z : C} (f : of X ⟶ of Y) (g : of Y ⟶ of Z) : down (f ≫ g) = down f ≫ down g := rfl @[aesop safe destruct (rule_sets := [CategoryTheory])] lemma false_of_from_star {X : C} (f : star ⟶ of X) : False := (f : PEmpty).elim def incl : C ⥤ WithTerminal C where obj := of map f := f #align category_theory.with_terminal.incl CategoryTheory.WithTerminal.incl instance : (incl : C ⥤ _).Full where map_surjective f := ⟨f, rfl⟩ instance : (incl : C ⥤ _).Faithful where @[simps] def map {D : Type*} [Category D] (F : C ⥤ D) : WithTerminal C ⥤ WithTerminal D where obj X := match X with | of x => of <| F.obj x | star => star map {X Y} f := match X, Y, f with | of x, of y, f => F.map (down f) | of _, star, _ => PUnit.unit | star, star, _ => PUnit.unit #align category_theory.with_terminal.map CategoryTheory.WithTerminal.map @[simps!] def mapId (C : Type*) [Category C] : map (𝟭 C) ≅ 𝟭 (WithTerminal C) := NatIso.ofComponents (fun X => match X with | of x => Iso.refl _ | star => Iso.refl _) (by aesop_cat) @[simps!] def mapComp {D E : Type*} [Category D] [Category E] (F : C ⥤ D) (G : D ⥤ E) : map (F ⋙ G) ≅ map F ⋙ map G := NatIso.ofComponents (fun X => match X with | of x => Iso.refl _ | star => Iso.refl _) (by aesop_cat) @[simps] def map₂ {D : Type*} [Category D] {F G : C ⥤ D} (η : F ⟶ G) : map F ⟶ map G where app := fun X => match X with | of x => η.app x | star => 𝟙 star naturality := by intro X Y f match X, Y, f with | of x, of y, f => exact η.naturality f | of x, star, _ => rfl | star, star, _ => rfl @[simps] def pseudofunctor : Pseudofunctor Cat Cat where obj C := Cat.of (WithTerminal C) map := map map₂ := map₂ mapId C := mapId C mapComp := mapComp map₂_id := by intros apply NatTrans.ext funext X cases X <;> rfl map₂_comp := by intros apply NatTrans.ext funext X cases X <;> rfl map₂_whisker_left := by intros apply NatTrans.ext funext X cases X · rw [NatTrans.comp_app, NatTrans.comp_app] simp only [map, Cat.comp_obj, Cat.comp_map, map₂, mapComp_hom_app, Iso.refl_hom, mapComp_inv_app, Iso.refl_inv, Category.comp_id, Category.id_comp] rfl · rfl map₂_whisker_right := by intros apply NatTrans.ext funext X cases X · rw [NatTrans.comp_app, NatTrans.comp_app] simp only [map, Cat.comp_obj, Cat.comp_map, map₂, mapComp_hom_app, Iso.refl_hom, mapComp_inv_app, Iso.refl_inv, Category.comp_id, Category.id_comp] rfl · rfl map₂_associator := by intros apply NatTrans.ext funext X cases X · rw [NatTrans.comp_app,NatTrans.comp_app,NatTrans.comp_app,NatTrans.comp_app] simp only [map, Cat.comp_obj, Cat.comp_map, map₂, Bicategory.Strict.associator_eqToIso, eqToIso_refl, Iso.refl_hom, mapComp_hom_app, mapComp_inv_app, Iso.refl_inv, Category.comp_id, Category.id_comp] rw [NatTrans.id_app, NatTrans.id_app] simp only [Cat.comp_obj, Bicategory.whiskerRight, whiskerRight_app, mapComp_hom_app, Iso.refl_hom, down_id, Functor.map_id, Bicategory.whiskerLeft, whiskerLeft_app, mapComp_inv_app, Iso.refl_inv, Category.comp_id] · rfl map₂_left_unitor := by intros apply NatTrans.ext funext X cases X · rw [NatTrans.comp_app, NatTrans.comp_app] simp only [map, Cat.comp_obj, Cat.comp_map, Cat.id_map, map₂, Bicategory.Strict.leftUnitor_eqToIso, eqToIso_refl, Iso.refl_hom, mapComp_hom_app, Bicategory.whiskerRight, whiskerRight_app, mapId_hom_app, Category.id_comp] rw [NatTrans.id_app, NatTrans.id_app] simp only [Cat.comp_obj, Category.comp_id] rw [← Functor.map_id] rfl · rfl map₂_right_unitor := by intros apply NatTrans.ext funext X cases X · rw [NatTrans.comp_app, NatTrans.comp_app] simp only [map, Cat.comp_obj, Cat.comp_map, Cat.id_map, map₂, Bicategory.Strict.rightUnitor_eqToIso, eqToIso_refl, Iso.refl_hom, mapComp_hom_app, Bicategory.whiskerLeft, whiskerLeft_app, mapId_hom_app, Category.id_comp] rw [NatTrans.id_app, NatTrans.id_app] simp only [Cat.comp_obj, Category.comp_id] rw [← Functor.map_id] rfl · rfl instance {X : WithTerminal C} : Unique (X ⟶ star) where default := match X with | of _ => PUnit.unit | star => PUnit.unit uniq := by aesop_cat def starTerminal : Limits.IsTerminal (star : WithTerminal C) := Limits.IsTerminal.ofUnique _ #align category_theory.with_terminal.star_terminal CategoryTheory.WithTerminal.starTerminal @[simps] def lift {D : Type*} [Category D] {Z : D} (F : C ⥤ D) (M : ∀ x : C, F.obj x ⟶ Z) (hM : ∀ (x y : C) (f : x ⟶ y), F.map f ≫ M y = M x) : WithTerminal C ⥤ D where obj X := match X with | of x => F.obj x | star => Z map {X Y} f := match X, Y, f with | of x, of y, f => F.map (down f) | of x, star, _ => M x | star, star, _ => 𝟙 Z #align category_theory.with_terminal.lift CategoryTheory.WithTerminal.lift @[simps!] def inclLift {D : Type*} [Category D] {Z : D} (F : C ⥤ D) (M : ∀ x : C, F.obj x ⟶ Z) (hM : ∀ (x y : C) (f : x ⟶ y), F.map f ≫ M y = M x) : incl ⋙ lift F M hM ≅ F where hom := { app := fun X => 𝟙 _ } inv := { app := fun X => 𝟙 _ } #align category_theory.with_terminal.incl_lift CategoryTheory.WithTerminal.inclLift @[simps!] def liftStar {D : Type*} [Category D] {Z : D} (F : C ⥤ D) (M : ∀ x : C, F.obj x ⟶ Z) (hM : ∀ (x y : C) (f : x ⟶ y), F.map f ≫ M y = M x) : (lift F M hM).obj star ≅ Z := eqToIso rfl #align category_theory.with_terminal.lift_star CategoryTheory.WithTerminal.liftStar
Mathlib/CategoryTheory/WithTerminal.lean
297
302
theorem lift_map_liftStar {D : Type*} [Category D] {Z : D} (F : C ⥤ D) (M : ∀ x : C, F.obj x ⟶ Z) (hM : ∀ (x y : C) (f : x ⟶ y), F.map f ≫ M y = M x) (x : C) : (lift F M hM).map (starTerminal.from (incl.obj x)) ≫ (liftStar F M hM).hom = (inclLift F M hM).hom.app x ≫ M x := by
erw [Category.id_comp, Category.comp_id] rfl
import Mathlib.Data.Matroid.IndepAxioms open Set namespace Matroid variable {α : Type*} {M : Matroid α} {I B X : Set α} section dual @[simps] def dualIndepMatroid (M : Matroid α) : IndepMatroid α where E := M.E Indep I := I ⊆ M.E ∧ ∃ B, M.Base B ∧ Disjoint I B indep_empty := ⟨empty_subset M.E, M.exists_base.imp (fun B hB ↦ ⟨hB, empty_disjoint _⟩)⟩ indep_subset := by rintro I J ⟨hJE, B, hB, hJB⟩ hIJ exact ⟨hIJ.trans hJE, ⟨B, hB, disjoint_of_subset_left hIJ hJB⟩⟩ indep_aug := by rintro I X ⟨hIE, B, hB, hIB⟩ hI_not_max hX_max have hXE := hX_max.1.1 have hB' := (base_compl_iff_mem_maximals_disjoint_base hXE).mpr hX_max set B' := M.E \ X with hX have hI := (not_iff_not.mpr (base_compl_iff_mem_maximals_disjoint_base)).mpr hI_not_max obtain ⟨B'', hB'', hB''₁, hB''₂⟩ := (hB'.indep.diff I).exists_base_subset_union_base hB rw [← compl_subset_compl, ← hIB.sdiff_eq_right, ← union_diff_distrib, diff_eq, compl_inter, compl_compl, union_subset_iff, compl_subset_compl] at hB''₂ have hssu := (subset_inter (hB''₂.2) hIE).ssubset_of_ne (by { rintro rfl; apply hI; convert hB''; simp [hB''.subset_ground] }) obtain ⟨e, ⟨(heB'' : e ∉ _), heE⟩, heI⟩ := exists_of_ssubset hssu use e simp_rw [mem_diff, insert_subset_iff, and_iff_left heI, and_iff_right heE, and_iff_right hIE] refine ⟨by_contra (fun heX ↦ heB'' (hB''₁ ⟨?_, heI⟩)), ⟨B'', hB'', ?_⟩⟩ · rw [hX]; exact ⟨heE, heX⟩ rw [← union_singleton, disjoint_union_left, disjoint_singleton_left, and_iff_left heB''] exact disjoint_of_subset_left hB''₂.2 disjoint_compl_left indep_maximal := by rintro X - I'⟨hI'E, B, hB, hI'B⟩ hI'X obtain ⟨I, hI⟩ := M.exists_basis (M.E \ X) obtain ⟨B', hB', hIB', hB'IB⟩ := hI.indep.exists_base_subset_union_base hB refine ⟨(X \ B') ∩ M.E, ⟨?_, subset_inter (subset_diff.mpr ?_) hI'E, inter_subset_left.trans diff_subset⟩, ?_⟩ · simp only [inter_subset_right, true_and] exact ⟨B', hB', disjoint_of_subset_left inter_subset_left disjoint_sdiff_left⟩ · rw [and_iff_right hI'X] refine disjoint_of_subset_right hB'IB ?_ rw [disjoint_union_right, and_iff_left hI'B] exact disjoint_of_subset hI'X hI.subset disjoint_sdiff_right simp only [mem_setOf_eq, subset_inter_iff, and_imp, forall_exists_index] intros J hJE B'' hB'' hdj _ hJX hssJ rw [and_iff_left hJE] rw [diff_eq, inter_right_comm, ← diff_eq, diff_subset_iff] at hssJ have hI' : (B'' ∩ X) ∪ (B' \ X) ⊆ B' := by rw [union_subset_iff, and_iff_left diff_subset, ← inter_eq_self_of_subset_left hB''.subset_ground, inter_right_comm, inter_assoc] calc _ ⊆ _ := inter_subset_inter_right _ hssJ _ ⊆ _ := by rw [inter_union_distrib_left, hdj.symm.inter_eq, union_empty] _ ⊆ _ := inter_subset_right obtain ⟨B₁,hB₁,hI'B₁,hB₁I⟩ := (hB'.indep.subset hI').exists_base_subset_union_base hB'' rw [union_comm, ← union_assoc, union_eq_self_of_subset_right inter_subset_left] at hB₁I have : B₁ = B' := by refine hB₁.eq_of_subset_indep hB'.indep (fun e he ↦ ?_) refine (hB₁I he).elim (fun heB'' ↦ ?_) (fun h ↦ h.1) refine (em (e ∈ X)).elim (fun heX ↦ hI' (Or.inl ⟨heB'', heX⟩)) (fun heX ↦ hIB' ?_) refine hI.mem_of_insert_indep ⟨hB₁.subset_ground he, heX⟩ (hB₁.indep.subset (insert_subset he ?_)) refine (subset_union_of_subset_right (subset_diff.mpr ⟨hIB',?_⟩) _).trans hI'B₁ exact disjoint_of_subset_left hI.subset disjoint_sdiff_left subst this refine subset_diff.mpr ⟨hJX, by_contra (fun hne ↦ ?_)⟩ obtain ⟨e, heJ, heB'⟩ := not_disjoint_iff.mp hne obtain (heB'' | ⟨-,heX⟩ ) := hB₁I heB' · exact hdj.ne_of_mem heJ heB'' rfl exact heX (hJX heJ) subset_ground := by tauto def dual (M : Matroid α) : Matroid α := M.dualIndepMatroid.matroid postfix:max "✶" => Matroid.dual theorem dual_indep_iff_exists' : (M✶.Indep I) ↔ I ⊆ M.E ∧ (∃ B, M.Base B ∧ Disjoint I B) := Iff.rfl @[simp] theorem dual_ground : M✶.E = M.E := rfl @[simp] theorem dual_indep_iff_exists (hI : I ⊆ M.E := by aesop_mat) : M✶.Indep I ↔ (∃ B, M.Base B ∧ Disjoint I B) := by rw [dual_indep_iff_exists', and_iff_right hI] theorem dual_dep_iff_forall : (M✶.Dep I) ↔ (∀ B, M.Base B → (I ∩ B).Nonempty) ∧ I ⊆ M.E := by simp_rw [dep_iff, dual_indep_iff_exists', dual_ground, and_congr_left_iff, not_and, not_exists, not_and, not_disjoint_iff_nonempty_inter, Classical.imp_iff_right_iff, iff_true_intro Or.inl] instance dual_finite [M.Finite] : M✶.Finite := ⟨M.ground_finite⟩ instance dual_nonempty [M.Nonempty] : M✶.Nonempty := ⟨M.ground_nonempty⟩ @[simp] theorem dual_base_iff (hB : B ⊆ M.E := by aesop_mat) : M✶.Base B ↔ M.Base (M.E \ B) := by rw [base_compl_iff_mem_maximals_disjoint_base, base_iff_maximal_indep, dual_indep_iff_exists', mem_maximals_setOf_iff] simp [dual_indep_iff_exists'] theorem dual_base_iff' : M✶.Base B ↔ M.Base (M.E \ B) ∧ B ⊆ M.E := (em (B ⊆ M.E)).elim (fun h ↦ by rw [dual_base_iff, and_iff_left h]) (fun h ↦ iff_of_false (h ∘ (fun h' ↦ h'.subset_ground)) (h ∘ And.right)) theorem setOf_dual_base_eq : {B | M✶.Base B} = (fun X ↦ M.E \ X) '' {B | M.Base B} := by ext B simp only [mem_setOf_eq, mem_image, dual_base_iff'] refine ⟨fun h ↦ ⟨_, h.1, diff_diff_cancel_left h.2⟩, fun ⟨B', hB', h⟩ ↦ ⟨?_,h.symm.trans_subset diff_subset⟩⟩ rwa [← h, diff_diff_cancel_left hB'.subset_ground] @[simp] theorem dual_dual (M : Matroid α) : M✶✶ = M := eq_of_base_iff_base_forall rfl (fun B (h : B ⊆ M.E) ↦ by rw [dual_base_iff, dual_base_iff, dual_ground, diff_diff_cancel_left h]) theorem dual_involutive : Function.Involutive (dual : Matroid α → Matroid α) := dual_dual theorem dual_injective : Function.Injective (dual : Matroid α → Matroid α) := dual_involutive.injective @[simp] theorem dual_inj {M₁ M₂ : Matroid α} : M₁✶ = M₂✶ ↔ M₁ = M₂ := dual_injective.eq_iff theorem eq_dual_comm {M₁ M₂ : Matroid α} : M₁ = M₂✶ ↔ M₂ = M₁✶ := by rw [← dual_inj, dual_dual, eq_comm] theorem eq_dual_iff_dual_eq {M₁ M₂ : Matroid α} : M₁ = M₂✶ ↔ M₁✶ = M₂ := dual_involutive.eq_iff.symm theorem Base.compl_base_of_dual (h : M✶.Base B) : M.Base (M.E \ B) := (dual_base_iff'.1 h).1 theorem Base.compl_base_dual (h : M.Base B) : M✶.Base (M.E \ B) := by rwa [dual_base_iff, diff_diff_cancel_left h.subset_ground] theorem Base.compl_inter_basis_of_inter_basis (hB : M.Base B) (hBX : M.Basis (B ∩ X) X) : M✶.Basis ((M.E \ B) ∩ (M.E \ X)) (M.E \ X) := by refine Indep.basis_of_forall_insert ?_ inter_subset_right (fun e he ↦ ?_) · rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_left inter_subset_left disjoint_sdiff_left⟩ simp only [diff_inter_self_eq_diff, mem_diff, not_and, not_not, imp_iff_right he.1.1] at he simp_rw [dual_dep_iff_forall, insert_subset_iff, and_iff_right he.1.1, and_iff_left (inter_subset_left.trans diff_subset)] refine fun B' hB' ↦ by_contra (fun hem ↦ ?_) rw [nonempty_iff_ne_empty, not_ne_iff, ← union_singleton, diff_inter_diff, union_inter_distrib_right, union_empty_iff, singleton_inter_eq_empty, diff_eq, inter_right_comm, inter_eq_self_of_subset_right hB'.subset_ground, ← diff_eq, diff_eq_empty] at hem obtain ⟨f, hfb, hBf⟩ := hB.exchange hB' ⟨he.2, hem.2⟩ have hi : M.Indep (insert f (B ∩ X)) := by refine hBf.indep.subset (insert_subset_insert ?_) simp_rw [subset_diff, and_iff_right inter_subset_left, disjoint_singleton_right, mem_inter_iff, iff_false_intro he.1.2, and_false, not_false_iff] exact hfb.2 (hBX.mem_of_insert_indep (Or.elim (hem.1 hfb.1) (False.elim ∘ hfb.2) id) hi).1 theorem Base.inter_basis_iff_compl_inter_basis_dual (hB : M.Base B) (hX : X ⊆ M.E := by aesop_mat): M.Basis (B ∩ X) X ↔ M✶.Basis ((M.E \ B) ∩ (M.E \ X)) (M.E \ X) := by refine ⟨hB.compl_inter_basis_of_inter_basis, fun h ↦ ?_⟩ simpa [inter_eq_self_of_subset_right hX, inter_eq_self_of_subset_right hB.subset_ground] using hB.compl_base_dual.compl_inter_basis_of_inter_basis h theorem base_iff_dual_base_compl (hB : B ⊆ M.E := by aesop_mat) : M.Base B ↔ M✶.Base (M.E \ B) := by rw [dual_base_iff, diff_diff_cancel_left hB] theorem ground_not_base (M : Matroid α) [h : RkPos M✶] : ¬M.Base M.E := by rwa [rkPos_iff_empty_not_base, dual_base_iff, diff_empty] at h theorem Base.ssubset_ground [h : RkPos M✶] (hB : M.Base B) : B ⊂ M.E := hB.subset_ground.ssubset_of_ne (by rintro rfl; exact M.ground_not_base hB)
Mathlib/Data/Matroid/Dual.lean
219
220
theorem Indep.ssubset_ground [h : RkPos M✶] (hI : M.Indep I) : I ⊂ M.E := by
obtain ⟨B, hB⟩ := hI.exists_base_superset; exact hB.2.trans_ssubset hB.1.ssubset_ground
import Mathlib.Analysis.InnerProductSpace.TwoDim import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic #align_import geometry.euclidean.angle.oriented.basic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "ω" => o.areaForm def oangle (x y : V) : Real.Angle := Complex.arg (o.kahler x y) #align orientation.oangle Orientation.oangle theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) : ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_ · exact o.kahler_ne_zero hx1 hx2 exact ((continuous_ofReal.comp continuous_inner).add ((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt #align orientation.continuous_at_oangle Orientation.continuousAt_oangle @[simp] theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle] #align orientation.oangle_zero_left Orientation.oangle_zero_left @[simp] theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle] #align orientation.oangle_zero_right Orientation.oangle_zero_right @[simp] theorem oangle_self (x : V) : o.oangle x x = 0 := by rw [oangle, kahler_apply_self, ← ofReal_pow] convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π)) apply arg_ofReal_of_nonneg positivity #align orientation.oangle_self Orientation.oangle_self
Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean
86
87
theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by
rintro rfl; simp at h
import Mathlib.Data.Nat.Defs import Mathlib.Order.Interval.Set.Basic import Mathlib.Tactic.Monotonicity.Attr #align_import data.nat.log from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6" namespace Nat --@[pp_nodot] porting note: unknown attribute def log (b : ℕ) : ℕ → ℕ | n => if h : b ≤ n ∧ 1 < b then log b (n / b) + 1 else 0 decreasing_by -- putting this in the def triggers the `unusedHavesSuffices` linter: -- https://github.com/leanprover-community/batteries/issues/428 have : n / b < n := div_lt_self ((Nat.zero_lt_one.trans h.2).trans_le h.1) h.2 decreasing_trivial #align nat.log Nat.log @[simp] theorem log_eq_zero_iff {b n : ℕ} : log b n = 0 ↔ n < b ∨ b ≤ 1 := by rw [log, dite_eq_right_iff] simp only [Nat.add_eq_zero_iff, Nat.one_ne_zero, and_false, imp_false, not_and_or, not_le, not_lt] #align nat.log_eq_zero_iff Nat.log_eq_zero_iff theorem log_of_lt {b n : ℕ} (hb : n < b) : log b n = 0 := log_eq_zero_iff.2 (Or.inl hb) #align nat.log_of_lt Nat.log_of_lt theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (n) : log b n = 0 := log_eq_zero_iff.2 (Or.inr hb) #align nat.log_of_left_le_one Nat.log_of_left_le_one @[simp] theorem log_pos_iff {b n : ℕ} : 0 < log b n ↔ b ≤ n ∧ 1 < b := by rw [Nat.pos_iff_ne_zero, Ne, log_eq_zero_iff, not_or, not_lt, not_le] #align nat.log_pos_iff Nat.log_pos_iff theorem log_pos {b n : ℕ} (hb : 1 < b) (hbn : b ≤ n) : 0 < log b n := log_pos_iff.2 ⟨hbn, hb⟩ #align nat.log_pos Nat.log_pos theorem log_of_one_lt_of_le {b n : ℕ} (h : 1 < b) (hn : b ≤ n) : log b n = log b (n / b) + 1 := by rw [log] exact if_pos ⟨hn, h⟩ #align nat.log_of_one_lt_of_le Nat.log_of_one_lt_of_le @[simp] lemma log_zero_left : ∀ n, log 0 n = 0 := log_of_left_le_one $ Nat.zero_le _ #align nat.log_zero_left Nat.log_zero_left @[simp] theorem log_zero_right (b : ℕ) : log b 0 = 0 := log_eq_zero_iff.2 (le_total 1 b) #align nat.log_zero_right Nat.log_zero_right @[simp] theorem log_one_left : ∀ n, log 1 n = 0 := log_of_left_le_one le_rfl #align nat.log_one_left Nat.log_one_left @[simp] theorem log_one_right (b : ℕ) : log b 1 = 0 := log_eq_zero_iff.2 (lt_or_le _ _) #align nat.log_one_right Nat.log_one_right theorem pow_le_iff_le_log {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) : b ^ x ≤ y ↔ x ≤ log b y := by induction' y using Nat.strong_induction_on with y ih generalizing x cases x with | zero => dsimp; omega | succ x => rw [log]; split_ifs with h · have b_pos : 0 < b := lt_of_succ_lt hb rw [Nat.add_le_add_iff_right, ← ih (y / b) (div_lt_self (Nat.pos_iff_ne_zero.2 hy) hb) (Nat.div_pos h.1 b_pos).ne', le_div_iff_mul_le b_pos, pow_succ', Nat.mul_comm] · exact iff_of_false (fun hby => h ⟨(le_self_pow x.succ_ne_zero _).trans hby, hb⟩) (not_succ_le_zero _) #align nat.pow_le_iff_le_log Nat.pow_le_iff_le_log theorem lt_pow_iff_log_lt {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) : y < b ^ x ↔ log b y < x := lt_iff_lt_of_le_iff_le (pow_le_iff_le_log hb hy) #align nat.lt_pow_iff_log_lt Nat.lt_pow_iff_log_lt theorem pow_le_of_le_log {b x y : ℕ} (hy : y ≠ 0) (h : x ≤ log b y) : b ^ x ≤ y := by refine (le_or_lt b 1).elim (fun hb => ?_) fun hb => (pow_le_iff_le_log hb hy).2 h rw [log_of_left_le_one hb, Nat.le_zero] at h rwa [h, Nat.pow_zero, one_le_iff_ne_zero] #align nat.pow_le_of_le_log Nat.pow_le_of_le_log theorem le_log_of_pow_le {b x y : ℕ} (hb : 1 < b) (h : b ^ x ≤ y) : x ≤ log b y := by rcases ne_or_eq y 0 with (hy | rfl) exacts [(pow_le_iff_le_log hb hy).1 h, (h.not_lt (Nat.pow_pos (Nat.zero_lt_one.trans hb))).elim] #align nat.le_log_of_pow_le Nat.le_log_of_pow_le theorem pow_log_le_self (b : ℕ) {x : ℕ} (hx : x ≠ 0) : b ^ log b x ≤ x := pow_le_of_le_log hx le_rfl #align nat.pow_log_le_self Nat.pow_log_le_self theorem log_lt_of_lt_pow {b x y : ℕ} (hy : y ≠ 0) : y < b ^ x → log b y < x := lt_imp_lt_of_le_imp_le (pow_le_of_le_log hy) #align nat.log_lt_of_lt_pow Nat.log_lt_of_lt_pow theorem lt_pow_of_log_lt {b x y : ℕ} (hb : 1 < b) : log b y < x → y < b ^ x := lt_imp_lt_of_le_imp_le (le_log_of_pow_le hb) #align nat.lt_pow_of_log_lt Nat.lt_pow_of_log_lt theorem lt_pow_succ_log_self {b : ℕ} (hb : 1 < b) (x : ℕ) : x < b ^ (log b x).succ := lt_pow_of_log_lt hb (lt_succ_self _) #align nat.lt_pow_succ_log_self Nat.lt_pow_succ_log_self theorem log_eq_iff {b m n : ℕ} (h : m ≠ 0 ∨ 1 < b ∧ n ≠ 0) : log b n = m ↔ b ^ m ≤ n ∧ n < b ^ (m + 1) := by rcases em (1 < b ∧ n ≠ 0) with (⟨hb, hn⟩ | hbn) · rw [le_antisymm_iff, ← Nat.lt_succ_iff, ← pow_le_iff_le_log, ← lt_pow_iff_log_lt, and_comm] <;> assumption have hm : m ≠ 0 := h.resolve_right hbn rw [not_and_or, not_lt, Ne, not_not] at hbn rcases hbn with (hb | rfl) · obtain rfl | rfl := le_one_iff_eq_zero_or_eq_one.1 hb any_goals simp only [ne_eq, zero_eq, reduceSucc, lt_self_iff_false, not_lt_zero, false_and, or_false] at h simp [h, eq_comm (a := 0), Nat.zero_pow (Nat.pos_iff_ne_zero.2 _)] <;> omega · simp [@eq_comm _ 0, hm] #align nat.log_eq_iff Nat.log_eq_iff theorem log_eq_of_pow_le_of_lt_pow {b m n : ℕ} (h₁ : b ^ m ≤ n) (h₂ : n < b ^ (m + 1)) : log b n = m := by rcases eq_or_ne m 0 with (rfl | hm) · rw [Nat.pow_one] at h₂ exact log_of_lt h₂ · exact (log_eq_iff (Or.inl hm)).2 ⟨h₁, h₂⟩ #align nat.log_eq_of_pow_le_of_lt_pow Nat.log_eq_of_pow_le_of_lt_pow theorem log_pow {b : ℕ} (hb : 1 < b) (x : ℕ) : log b (b ^ x) = x := log_eq_of_pow_le_of_lt_pow le_rfl (Nat.pow_lt_pow_right hb x.lt_succ_self) #align nat.log_pow Nat.log_pow theorem log_eq_one_iff' {b n : ℕ} : log b n = 1 ↔ b ≤ n ∧ n < b * b := by rw [log_eq_iff (Or.inl Nat.one_ne_zero), Nat.pow_add, Nat.pow_one] #align nat.log_eq_one_iff' Nat.log_eq_one_iff' theorem log_eq_one_iff {b n : ℕ} : log b n = 1 ↔ n < b * b ∧ 1 < b ∧ b ≤ n := log_eq_one_iff'.trans ⟨fun h => ⟨h.2, lt_mul_self_iff.1 (h.1.trans_lt h.2), h.1⟩, fun h => ⟨h.2.2, h.1⟩⟩ #align nat.log_eq_one_iff Nat.log_eq_one_iff theorem log_mul_base {b n : ℕ} (hb : 1 < b) (hn : n ≠ 0) : log b (n * b) = log b n + 1 := by apply log_eq_of_pow_le_of_lt_pow <;> rw [pow_succ', Nat.mul_comm b] exacts [Nat.mul_le_mul_right _ (pow_log_le_self _ hn), (Nat.mul_lt_mul_right (Nat.zero_lt_one.trans hb)).2 (lt_pow_succ_log_self hb _)] #align nat.log_mul_base Nat.log_mul_base theorem pow_log_le_add_one (b : ℕ) : ∀ x, b ^ log b x ≤ x + 1 | 0 => by rw [log_zero_right, Nat.pow_zero] | x + 1 => (pow_log_le_self b x.succ_ne_zero).trans (x + 1).le_succ #align nat.pow_log_le_add_one Nat.pow_log_le_add_one theorem log_monotone {b : ℕ} : Monotone (log b) := by refine monotone_nat_of_le_succ fun n => ?_ rcases le_or_lt b 1 with hb | hb · rw [log_of_left_le_one hb] exact zero_le _ · exact le_log_of_pow_le hb (pow_log_le_add_one _ _) #align nat.log_monotone Nat.log_monotone @[mono] theorem log_mono_right {b n m : ℕ} (h : n ≤ m) : log b n ≤ log b m := log_monotone h #align nat.log_mono_right Nat.log_mono_right @[mono] theorem log_anti_left {b c n : ℕ} (hc : 1 < c) (hb : c ≤ b) : log b n ≤ log c n := by rcases eq_or_ne n 0 with (rfl | hn); · rw [log_zero_right, log_zero_right] apply le_log_of_pow_le hc calc c ^ log b n ≤ b ^ log b n := Nat.pow_le_pow_left hb _ _ ≤ n := pow_log_le_self _ hn #align nat.log_anti_left Nat.log_anti_left theorem log_antitone_left {n : ℕ} : AntitoneOn (fun b => log b n) (Set.Ioi 1) := fun _ hc _ _ hb => log_anti_left (Set.mem_Iio.1 hc) hb #align nat.log_antitone_left Nat.log_antitone_left @[simp] theorem log_div_base (b n : ℕ) : log b (n / b) = log b n - 1 := by rcases le_or_lt b 1 with hb | hb · rw [log_of_left_le_one hb, log_of_left_le_one hb, Nat.zero_sub] cases' lt_or_le n b with h h · rw [div_eq_of_lt h, log_of_lt h, log_zero_right] rw [log_of_one_lt_of_le hb h, Nat.add_sub_cancel_right] #align nat.log_div_base Nat.log_div_base @[simp]
Mathlib/Data/Nat/Log.lean
219
225
theorem log_div_mul_self (b n : ℕ) : log b (n / b * b) = log b n := by
rcases le_or_lt b 1 with hb | hb · rw [log_of_left_le_one hb, log_of_left_le_one hb] cases' lt_or_le n b with h h · rw [div_eq_of_lt h, Nat.zero_mul, log_zero_right, log_of_lt h] rw [log_mul_base hb (Nat.div_pos h (by omega)).ne', log_div_base, Nat.sub_add_cancel (succ_le_iff.2 <| log_pos hb h)]
import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Measurable open MeasureTheory variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] [LocallyCompactSpace 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [MeasurableSpace E] [OpensMeasurableSpace E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [CompleteSpace F] {f : E → F} {v : E} theorem measurableSet_lineDifferentiableAt (hf : Continuous f) : MeasurableSet {x : E | LineDifferentiableAt 𝕜 f x v} := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact measurable_prod_mk_right (measurableSet_of_differentiableAt_with_param 𝕜 hg) theorem measurable_lineDeriv [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) : Measurable (fun x ↦ lineDeriv 𝕜 f x v) := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact (measurable_deriv_with_param hg).comp measurable_prod_mk_right theorem stronglyMeasurable_lineDeriv [SecondCountableTopologyEither E F] (hf : Continuous f) : StronglyMeasurable (fun x ↦ lineDeriv 𝕜 f x v) := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact (stronglyMeasurable_deriv_with_param hg).comp_measurable measurable_prod_mk_right theorem aemeasurable_lineDeriv [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) (μ : Measure E) : AEMeasurable (fun x ↦ lineDeriv 𝕜 f x v) μ := (measurable_lineDeriv hf).aemeasurable theorem aestronglyMeasurable_lineDeriv [SecondCountableTopologyEither E F] (hf : Continuous f) (μ : Measure E) : AEStronglyMeasurable (fun x ↦ lineDeriv 𝕜 f x v) μ := (stronglyMeasurable_lineDeriv hf).aestronglyMeasurable variable [SecondCountableTopology E]
Mathlib/Analysis/Calculus/LineDeriv/Measurable.lean
72
81
theorem measurableSet_lineDifferentiableAt_uncurry (hf : Continuous f) : MeasurableSet {p : E × E | LineDifferentiableAt 𝕜 f p.1 p.2} := by
borelize 𝕜 let g : (E × E) → 𝕜 → F := fun p t ↦ f (p.1 + t • p.2) have : Continuous g.uncurry := hf.comp <| (continuous_fst.comp continuous_fst).add <| continuous_snd.smul (continuous_snd.comp continuous_fst) have M_meas : MeasurableSet {q : (E × E) × 𝕜 | DifferentiableAt 𝕜 (g q.1) q.2} := measurableSet_of_differentiableAt_with_param 𝕜 this exact measurable_prod_mk_right M_meas
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.Normed.Group.AddTorsor #align_import analysis.convex.side from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" variable {R V V' P P' : Type*} open AffineEquiv AffineMap namespace AffineSubspace section StrictOrderedCommRing variable [StrictOrderedCommRing R] [AddCommGroup V] [Module R V] [AddTorsor V P] variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P'] def WSameSide (s : AffineSubspace R P) (x y : P) : Prop := ∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (y -ᵥ p₂) #align affine_subspace.w_same_side AffineSubspace.WSameSide def SSameSide (s : AffineSubspace R P) (x y : P) : Prop := s.WSameSide x y ∧ x ∉ s ∧ y ∉ s #align affine_subspace.s_same_side AffineSubspace.SSameSide def WOppSide (s : AffineSubspace R P) (x y : P) : Prop := ∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (p₂ -ᵥ y) #align affine_subspace.w_opp_side AffineSubspace.WOppSide def SOppSide (s : AffineSubspace R P) (x y : P) : Prop := s.WOppSide x y ∧ x ∉ s ∧ y ∉ s #align affine_subspace.s_opp_side AffineSubspace.SOppSide theorem WSameSide.map {s : AffineSubspace R P} {x y : P} (h : s.WSameSide x y) (f : P →ᵃ[R] P') : (s.map f).WSameSide (f x) (f y) := by rcases h with ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨f p₁, mem_map_of_mem f hp₁, f p₂, mem_map_of_mem f hp₂, ?_⟩ simp_rw [← linearMap_vsub] exact h.map f.linear #align affine_subspace.w_same_side.map AffineSubspace.WSameSide.map theorem _root_.Function.Injective.wSameSide_map_iff {s : AffineSubspace R P} {x y : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : (s.map f).WSameSide (f x) (f y) ↔ s.WSameSide x y := by refine ⟨fun h => ?_, fun h => h.map _⟩ rcases h with ⟨fp₁, hfp₁, fp₂, hfp₂, h⟩ rw [mem_map] at hfp₁ hfp₂ rcases hfp₁ with ⟨p₁, hp₁, rfl⟩ rcases hfp₂ with ⟨p₂, hp₂, rfl⟩ refine ⟨p₁, hp₁, p₂, hp₂, ?_⟩ simp_rw [← linearMap_vsub, (f.linear_injective_iff.2 hf).sameRay_map_iff] at h exact h #align function.injective.w_same_side_map_iff Function.Injective.wSameSide_map_iff theorem _root_.Function.Injective.sSameSide_map_iff {s : AffineSubspace R P} {x y : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : (s.map f).SSameSide (f x) (f y) ↔ s.SSameSide x y := by simp_rw [SSameSide, hf.wSameSide_map_iff, mem_map_iff_mem_of_injective hf] #align function.injective.s_same_side_map_iff Function.Injective.sSameSide_map_iff @[simp] theorem _root_.AffineEquiv.wSameSide_map_iff {s : AffineSubspace R P} {x y : P} (f : P ≃ᵃ[R] P') : (s.map ↑f).WSameSide (f x) (f y) ↔ s.WSameSide x y := (show Function.Injective f.toAffineMap from f.injective).wSameSide_map_iff #align affine_equiv.w_same_side_map_iff AffineEquiv.wSameSide_map_iff @[simp] theorem _root_.AffineEquiv.sSameSide_map_iff {s : AffineSubspace R P} {x y : P} (f : P ≃ᵃ[R] P') : (s.map ↑f).SSameSide (f x) (f y) ↔ s.SSameSide x y := (show Function.Injective f.toAffineMap from f.injective).sSameSide_map_iff #align affine_equiv.s_same_side_map_iff AffineEquiv.sSameSide_map_iff theorem WOppSide.map {s : AffineSubspace R P} {x y : P} (h : s.WOppSide x y) (f : P →ᵃ[R] P') : (s.map f).WOppSide (f x) (f y) := by rcases h with ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨f p₁, mem_map_of_mem f hp₁, f p₂, mem_map_of_mem f hp₂, ?_⟩ simp_rw [← linearMap_vsub] exact h.map f.linear #align affine_subspace.w_opp_side.map AffineSubspace.WOppSide.map theorem _root_.Function.Injective.wOppSide_map_iff {s : AffineSubspace R P} {x y : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : (s.map f).WOppSide (f x) (f y) ↔ s.WOppSide x y := by refine ⟨fun h => ?_, fun h => h.map _⟩ rcases h with ⟨fp₁, hfp₁, fp₂, hfp₂, h⟩ rw [mem_map] at hfp₁ hfp₂ rcases hfp₁ with ⟨p₁, hp₁, rfl⟩ rcases hfp₂ with ⟨p₂, hp₂, rfl⟩ refine ⟨p₁, hp₁, p₂, hp₂, ?_⟩ simp_rw [← linearMap_vsub, (f.linear_injective_iff.2 hf).sameRay_map_iff] at h exact h #align function.injective.w_opp_side_map_iff Function.Injective.wOppSide_map_iff theorem _root_.Function.Injective.sOppSide_map_iff {s : AffineSubspace R P} {x y : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : (s.map f).SOppSide (f x) (f y) ↔ s.SOppSide x y := by simp_rw [SOppSide, hf.wOppSide_map_iff, mem_map_iff_mem_of_injective hf] #align function.injective.s_opp_side_map_iff Function.Injective.sOppSide_map_iff @[simp] theorem _root_.AffineEquiv.wOppSide_map_iff {s : AffineSubspace R P} {x y : P} (f : P ≃ᵃ[R] P') : (s.map ↑f).WOppSide (f x) (f y) ↔ s.WOppSide x y := (show Function.Injective f.toAffineMap from f.injective).wOppSide_map_iff #align affine_equiv.w_opp_side_map_iff AffineEquiv.wOppSide_map_iff @[simp] theorem _root_.AffineEquiv.sOppSide_map_iff {s : AffineSubspace R P} {x y : P} (f : P ≃ᵃ[R] P') : (s.map ↑f).SOppSide (f x) (f y) ↔ s.SOppSide x y := (show Function.Injective f.toAffineMap from f.injective).sOppSide_map_iff #align affine_equiv.s_opp_side_map_iff AffineEquiv.sOppSide_map_iff theorem WSameSide.nonempty {s : AffineSubspace R P} {x y : P} (h : s.WSameSide x y) : (s : Set P).Nonempty := ⟨h.choose, h.choose_spec.left⟩ #align affine_subspace.w_same_side.nonempty AffineSubspace.WSameSide.nonempty theorem SSameSide.nonempty {s : AffineSubspace R P} {x y : P} (h : s.SSameSide x y) : (s : Set P).Nonempty := ⟨h.1.choose, h.1.choose_spec.left⟩ #align affine_subspace.s_same_side.nonempty AffineSubspace.SSameSide.nonempty theorem WOppSide.nonempty {s : AffineSubspace R P} {x y : P} (h : s.WOppSide x y) : (s : Set P).Nonempty := ⟨h.choose, h.choose_spec.left⟩ #align affine_subspace.w_opp_side.nonempty AffineSubspace.WOppSide.nonempty theorem SOppSide.nonempty {s : AffineSubspace R P} {x y : P} (h : s.SOppSide x y) : (s : Set P).Nonempty := ⟨h.1.choose, h.1.choose_spec.left⟩ #align affine_subspace.s_opp_side.nonempty AffineSubspace.SOppSide.nonempty theorem SSameSide.wSameSide {s : AffineSubspace R P} {x y : P} (h : s.SSameSide x y) : s.WSameSide x y := h.1 #align affine_subspace.s_same_side.w_same_side AffineSubspace.SSameSide.wSameSide theorem SSameSide.left_not_mem {s : AffineSubspace R P} {x y : P} (h : s.SSameSide x y) : x ∉ s := h.2.1 #align affine_subspace.s_same_side.left_not_mem AffineSubspace.SSameSide.left_not_mem theorem SSameSide.right_not_mem {s : AffineSubspace R P} {x y : P} (h : s.SSameSide x y) : y ∉ s := h.2.2 #align affine_subspace.s_same_side.right_not_mem AffineSubspace.SSameSide.right_not_mem theorem SOppSide.wOppSide {s : AffineSubspace R P} {x y : P} (h : s.SOppSide x y) : s.WOppSide x y := h.1 #align affine_subspace.s_opp_side.w_opp_side AffineSubspace.SOppSide.wOppSide theorem SOppSide.left_not_mem {s : AffineSubspace R P} {x y : P} (h : s.SOppSide x y) : x ∉ s := h.2.1 #align affine_subspace.s_opp_side.left_not_mem AffineSubspace.SOppSide.left_not_mem theorem SOppSide.right_not_mem {s : AffineSubspace R P} {x y : P} (h : s.SOppSide x y) : y ∉ s := h.2.2 #align affine_subspace.s_opp_side.right_not_mem AffineSubspace.SOppSide.right_not_mem theorem wSameSide_comm {s : AffineSubspace R P} {x y : P} : s.WSameSide x y ↔ s.WSameSide y x := ⟨fun ⟨p₁, hp₁, p₂, hp₂, h⟩ => ⟨p₂, hp₂, p₁, hp₁, h.symm⟩, fun ⟨p₁, hp₁, p₂, hp₂, h⟩ => ⟨p₂, hp₂, p₁, hp₁, h.symm⟩⟩ #align affine_subspace.w_same_side_comm AffineSubspace.wSameSide_comm alias ⟨WSameSide.symm, _⟩ := wSameSide_comm #align affine_subspace.w_same_side.symm AffineSubspace.WSameSide.symm theorem sSameSide_comm {s : AffineSubspace R P} {x y : P} : s.SSameSide x y ↔ s.SSameSide y x := by rw [SSameSide, SSameSide, wSameSide_comm, and_comm (b := x ∉ s)] #align affine_subspace.s_same_side_comm AffineSubspace.sSameSide_comm alias ⟨SSameSide.symm, _⟩ := sSameSide_comm #align affine_subspace.s_same_side.symm AffineSubspace.SSameSide.symm theorem wOppSide_comm {s : AffineSubspace R P} {x y : P} : s.WOppSide x y ↔ s.WOppSide y x := by constructor · rintro ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨p₂, hp₂, p₁, hp₁, ?_⟩ rwa [SameRay.sameRay_comm, ← sameRay_neg_iff, neg_vsub_eq_vsub_rev, neg_vsub_eq_vsub_rev] · rintro ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨p₂, hp₂, p₁, hp₁, ?_⟩ rwa [SameRay.sameRay_comm, ← sameRay_neg_iff, neg_vsub_eq_vsub_rev, neg_vsub_eq_vsub_rev] #align affine_subspace.w_opp_side_comm AffineSubspace.wOppSide_comm alias ⟨WOppSide.symm, _⟩ := wOppSide_comm #align affine_subspace.w_opp_side.symm AffineSubspace.WOppSide.symm theorem sOppSide_comm {s : AffineSubspace R P} {x y : P} : s.SOppSide x y ↔ s.SOppSide y x := by rw [SOppSide, SOppSide, wOppSide_comm, and_comm (b := x ∉ s)] #align affine_subspace.s_opp_side_comm AffineSubspace.sOppSide_comm alias ⟨SOppSide.symm, _⟩ := sOppSide_comm #align affine_subspace.s_opp_side.symm AffineSubspace.SOppSide.symm theorem not_wSameSide_bot (x y : P) : ¬(⊥ : AffineSubspace R P).WSameSide x y := fun ⟨_, h, _⟩ => h.elim #align affine_subspace.not_w_same_side_bot AffineSubspace.not_wSameSide_bot theorem not_sSameSide_bot (x y : P) : ¬(⊥ : AffineSubspace R P).SSameSide x y := fun h => not_wSameSide_bot x y h.wSameSide #align affine_subspace.not_s_same_side_bot AffineSubspace.not_sSameSide_bot theorem not_wOppSide_bot (x y : P) : ¬(⊥ : AffineSubspace R P).WOppSide x y := fun ⟨_, h, _⟩ => h.elim #align affine_subspace.not_w_opp_side_bot AffineSubspace.not_wOppSide_bot theorem not_sOppSide_bot (x y : P) : ¬(⊥ : AffineSubspace R P).SOppSide x y := fun h => not_wOppSide_bot x y h.wOppSide #align affine_subspace.not_s_opp_side_bot AffineSubspace.not_sOppSide_bot @[simp] theorem wSameSide_self_iff {s : AffineSubspace R P} {x : P} : s.WSameSide x x ↔ (s : Set P).Nonempty := ⟨fun h => h.nonempty, fun ⟨p, hp⟩ => ⟨p, hp, p, hp, SameRay.rfl⟩⟩ #align affine_subspace.w_same_side_self_iff AffineSubspace.wSameSide_self_iff theorem sSameSide_self_iff {s : AffineSubspace R P} {x : P} : s.SSameSide x x ↔ (s : Set P).Nonempty ∧ x ∉ s := ⟨fun ⟨h, hx, _⟩ => ⟨wSameSide_self_iff.1 h, hx⟩, fun ⟨h, hx⟩ => ⟨wSameSide_self_iff.2 h, hx, hx⟩⟩ #align affine_subspace.s_same_side_self_iff AffineSubspace.sSameSide_self_iff theorem wSameSide_of_left_mem {s : AffineSubspace R P} {x : P} (y : P) (hx : x ∈ s) : s.WSameSide x y := by refine ⟨x, hx, x, hx, ?_⟩ rw [vsub_self] apply SameRay.zero_left #align affine_subspace.w_same_side_of_left_mem AffineSubspace.wSameSide_of_left_mem theorem wSameSide_of_right_mem {s : AffineSubspace R P} (x : P) {y : P} (hy : y ∈ s) : s.WSameSide x y := (wSameSide_of_left_mem x hy).symm #align affine_subspace.w_same_side_of_right_mem AffineSubspace.wSameSide_of_right_mem theorem wOppSide_of_left_mem {s : AffineSubspace R P} {x : P} (y : P) (hx : x ∈ s) : s.WOppSide x y := by refine ⟨x, hx, x, hx, ?_⟩ rw [vsub_self] apply SameRay.zero_left #align affine_subspace.w_opp_side_of_left_mem AffineSubspace.wOppSide_of_left_mem theorem wOppSide_of_right_mem {s : AffineSubspace R P} (x : P) {y : P} (hy : y ∈ s) : s.WOppSide x y := (wOppSide_of_left_mem x hy).symm #align affine_subspace.w_opp_side_of_right_mem AffineSubspace.wOppSide_of_right_mem theorem wSameSide_vadd_left_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.WSameSide (v +ᵥ x) y ↔ s.WSameSide x y := by constructor · rintro ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨-v +ᵥ p₁, AffineSubspace.vadd_mem_of_mem_direction (Submodule.neg_mem _ hv) hp₁, p₂, hp₂, ?_⟩ rwa [vsub_vadd_eq_vsub_sub, sub_neg_eq_add, add_comm, ← vadd_vsub_assoc] · rintro ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨v +ᵥ p₁, AffineSubspace.vadd_mem_of_mem_direction hv hp₁, p₂, hp₂, ?_⟩ rwa [vadd_vsub_vadd_cancel_left] #align affine_subspace.w_same_side_vadd_left_iff AffineSubspace.wSameSide_vadd_left_iff theorem wSameSide_vadd_right_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.WSameSide x (v +ᵥ y) ↔ s.WSameSide x y := by rw [wSameSide_comm, wSameSide_vadd_left_iff hv, wSameSide_comm] #align affine_subspace.w_same_side_vadd_right_iff AffineSubspace.wSameSide_vadd_right_iff theorem sSameSide_vadd_left_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.SSameSide (v +ᵥ x) y ↔ s.SSameSide x y := by rw [SSameSide, SSameSide, wSameSide_vadd_left_iff hv, vadd_mem_iff_mem_of_mem_direction hv] #align affine_subspace.s_same_side_vadd_left_iff AffineSubspace.sSameSide_vadd_left_iff theorem sSameSide_vadd_right_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.SSameSide x (v +ᵥ y) ↔ s.SSameSide x y := by rw [sSameSide_comm, sSameSide_vadd_left_iff hv, sSameSide_comm] #align affine_subspace.s_same_side_vadd_right_iff AffineSubspace.sSameSide_vadd_right_iff theorem wOppSide_vadd_left_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.WOppSide (v +ᵥ x) y ↔ s.WOppSide x y := by constructor · rintro ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨-v +ᵥ p₁, AffineSubspace.vadd_mem_of_mem_direction (Submodule.neg_mem _ hv) hp₁, p₂, hp₂, ?_⟩ rwa [vsub_vadd_eq_vsub_sub, sub_neg_eq_add, add_comm, ← vadd_vsub_assoc] · rintro ⟨p₁, hp₁, p₂, hp₂, h⟩ refine ⟨v +ᵥ p₁, AffineSubspace.vadd_mem_of_mem_direction hv hp₁, p₂, hp₂, ?_⟩ rwa [vadd_vsub_vadd_cancel_left] #align affine_subspace.w_opp_side_vadd_left_iff AffineSubspace.wOppSide_vadd_left_iff theorem wOppSide_vadd_right_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.WOppSide x (v +ᵥ y) ↔ s.WOppSide x y := by rw [wOppSide_comm, wOppSide_vadd_left_iff hv, wOppSide_comm] #align affine_subspace.w_opp_side_vadd_right_iff AffineSubspace.wOppSide_vadd_right_iff theorem sOppSide_vadd_left_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.SOppSide (v +ᵥ x) y ↔ s.SOppSide x y := by rw [SOppSide, SOppSide, wOppSide_vadd_left_iff hv, vadd_mem_iff_mem_of_mem_direction hv] #align affine_subspace.s_opp_side_vadd_left_iff AffineSubspace.sOppSide_vadd_left_iff theorem sOppSide_vadd_right_iff {s : AffineSubspace R P} {x y : P} {v : V} (hv : v ∈ s.direction) : s.SOppSide x (v +ᵥ y) ↔ s.SOppSide x y := by rw [sOppSide_comm, sOppSide_vadd_left_iff hv, sOppSide_comm] #align affine_subspace.s_opp_side_vadd_right_iff AffineSubspace.sOppSide_vadd_right_iff theorem wSameSide_smul_vsub_vadd_left {s : AffineSubspace R P} {p₁ p₂ : P} (x : P) (hp₁ : p₁ ∈ s) (hp₂ : p₂ ∈ s) {t : R} (ht : 0 ≤ t) : s.WSameSide (t • (x -ᵥ p₁) +ᵥ p₂) x := by refine ⟨p₂, hp₂, p₁, hp₁, ?_⟩ rw [vadd_vsub] exact SameRay.sameRay_nonneg_smul_left _ ht #align affine_subspace.w_same_side_smul_vsub_vadd_left AffineSubspace.wSameSide_smul_vsub_vadd_left theorem wSameSide_smul_vsub_vadd_right {s : AffineSubspace R P} {p₁ p₂ : P} (x : P) (hp₁ : p₁ ∈ s) (hp₂ : p₂ ∈ s) {t : R} (ht : 0 ≤ t) : s.WSameSide x (t • (x -ᵥ p₁) +ᵥ p₂) := (wSameSide_smul_vsub_vadd_left x hp₁ hp₂ ht).symm #align affine_subspace.w_same_side_smul_vsub_vadd_right AffineSubspace.wSameSide_smul_vsub_vadd_right theorem wSameSide_lineMap_left {s : AffineSubspace R P} {x : P} (y : P) (h : x ∈ s) {t : R} (ht : 0 ≤ t) : s.WSameSide (lineMap x y t) y := wSameSide_smul_vsub_vadd_left y h h ht #align affine_subspace.w_same_side_line_map_left AffineSubspace.wSameSide_lineMap_left theorem wSameSide_lineMap_right {s : AffineSubspace R P} {x : P} (y : P) (h : x ∈ s) {t : R} (ht : 0 ≤ t) : s.WSameSide y (lineMap x y t) := (wSameSide_lineMap_left y h ht).symm #align affine_subspace.w_same_side_line_map_right AffineSubspace.wSameSide_lineMap_right theorem wOppSide_smul_vsub_vadd_left {s : AffineSubspace R P} {p₁ p₂ : P} (x : P) (hp₁ : p₁ ∈ s) (hp₂ : p₂ ∈ s) {t : R} (ht : t ≤ 0) : s.WOppSide (t • (x -ᵥ p₁) +ᵥ p₂) x := by refine ⟨p₂, hp₂, p₁, hp₁, ?_⟩ rw [vadd_vsub, ← neg_neg t, neg_smul, ← smul_neg, neg_vsub_eq_vsub_rev] exact SameRay.sameRay_nonneg_smul_left _ (neg_nonneg.2 ht) #align affine_subspace.w_opp_side_smul_vsub_vadd_left AffineSubspace.wOppSide_smul_vsub_vadd_left theorem wOppSide_smul_vsub_vadd_right {s : AffineSubspace R P} {p₁ p₂ : P} (x : P) (hp₁ : p₁ ∈ s) (hp₂ : p₂ ∈ s) {t : R} (ht : t ≤ 0) : s.WOppSide x (t • (x -ᵥ p₁) +ᵥ p₂) := (wOppSide_smul_vsub_vadd_left x hp₁ hp₂ ht).symm #align affine_subspace.w_opp_side_smul_vsub_vadd_right AffineSubspace.wOppSide_smul_vsub_vadd_right theorem wOppSide_lineMap_left {s : AffineSubspace R P} {x : P} (y : P) (h : x ∈ s) {t : R} (ht : t ≤ 0) : s.WOppSide (lineMap x y t) y := wOppSide_smul_vsub_vadd_left y h h ht #align affine_subspace.w_opp_side_line_map_left AffineSubspace.wOppSide_lineMap_left theorem wOppSide_lineMap_right {s : AffineSubspace R P} {x : P} (y : P) (h : x ∈ s) {t : R} (ht : t ≤ 0) : s.WOppSide y (lineMap x y t) := (wOppSide_lineMap_left y h ht).symm #align affine_subspace.w_opp_side_line_map_right AffineSubspace.wOppSide_lineMap_right theorem _root_.Wbtw.wSameSide₂₃ {s : AffineSubspace R P} {x y z : P} (h : Wbtw R x y z) (hx : x ∈ s) : s.WSameSide y z := by rcases h with ⟨t, ⟨ht0, -⟩, rfl⟩ exact wSameSide_lineMap_left z hx ht0 #align wbtw.w_same_side₂₃ Wbtw.wSameSide₂₃ theorem _root_.Wbtw.wSameSide₃₂ {s : AffineSubspace R P} {x y z : P} (h : Wbtw R x y z) (hx : x ∈ s) : s.WSameSide z y := (h.wSameSide₂₃ hx).symm #align wbtw.w_same_side₃₂ Wbtw.wSameSide₃₂ theorem _root_.Wbtw.wSameSide₁₂ {s : AffineSubspace R P} {x y z : P} (h : Wbtw R x y z) (hz : z ∈ s) : s.WSameSide x y := h.symm.wSameSide₃₂ hz #align wbtw.w_same_side₁₂ Wbtw.wSameSide₁₂ theorem _root_.Wbtw.wSameSide₂₁ {s : AffineSubspace R P} {x y z : P} (h : Wbtw R x y z) (hz : z ∈ s) : s.WSameSide y x := h.symm.wSameSide₂₃ hz #align wbtw.w_same_side₂₁ Wbtw.wSameSide₂₁
Mathlib/Analysis/Convex/Side.lean
391
405
theorem _root_.Wbtw.wOppSide₁₃ {s : AffineSubspace R P} {x y z : P} (h : Wbtw R x y z) (hy : y ∈ s) : s.WOppSide x z := by
rcases h with ⟨t, ⟨ht0, ht1⟩, rfl⟩ refine ⟨_, hy, _, hy, ?_⟩ rcases ht1.lt_or_eq with (ht1' | rfl); swap · rw [lineMap_apply_one]; simp rcases ht0.lt_or_eq with (ht0' | rfl); swap · rw [lineMap_apply_zero]; simp refine Or.inr (Or.inr ⟨1 - t, t, sub_pos.2 ht1', ht0', ?_⟩) -- TODO: after lean4#2336 "simp made no progress feature" -- had to add `_` to several lemmas here. Not sure why! simp_rw [lineMap_apply _, vadd_vsub_assoc _, vsub_vadd_eq_vsub_sub _, ← neg_vsub_eq_vsub_rev z x, vsub_self _, zero_sub, ← neg_one_smul R (z -ᵥ x), ← add_smul, smul_neg, ← neg_smul, smul_smul] ring_nf
import Mathlib.Analysis.Complex.AbsMax import Mathlib.Analysis.Complex.RemovableSingularity #align_import analysis.complex.schwarz from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" open Metric Set Function Filter TopologicalSpace open scoped Topology namespace Complex section Space variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] {R R₁ R₂ : ℝ} {f : ℂ → E} {c z z₀ : ℂ} theorem schwarz_aux {f : ℂ → ℂ} (hd : DifferentiableOn ℂ f (ball c R₁)) (h_maps : MapsTo f (ball c R₁) (ball (f c) R₂)) (hz : z ∈ ball c R₁) : ‖dslope f c z‖ ≤ R₂ / R₁ := by have hR₁ : 0 < R₁ := nonempty_ball.1 ⟨z, hz⟩ suffices ∀ᶠ r in 𝓝[<] R₁, ‖dslope f c z‖ ≤ R₂ / r by refine ge_of_tendsto ?_ this exact (tendsto_const_nhds.div tendsto_id hR₁.ne').mono_left nhdsWithin_le_nhds rw [mem_ball] at hz filter_upwards [Ioo_mem_nhdsWithin_Iio ⟨hz, le_rfl⟩] with r hr have hr₀ : 0 < r := dist_nonneg.trans_lt hr.1 replace hd : DiffContOnCl ℂ (dslope f c) (ball c r) := by refine DifferentiableOn.diffContOnCl ?_ rw [closure_ball c hr₀.ne'] exact ((differentiableOn_dslope <| ball_mem_nhds _ hR₁).mpr hd).mono (closedBall_subset_ball hr.2) refine norm_le_of_forall_mem_frontier_norm_le isBounded_ball hd ?_ ?_ · rw [frontier_ball c hr₀.ne'] intro z hz have hz' : z ≠ c := ne_of_mem_sphere hz hr₀.ne' rw [dslope_of_ne _ hz', slope_def_module, norm_smul, norm_inv, mem_sphere_iff_norm.1 hz, ← div_eq_inv_mul, div_le_div_right hr₀, ← dist_eq_norm] exact le_of_lt (h_maps (mem_ball.2 (by rw [mem_sphere.1 hz]; exact hr.2))) · rw [closure_ball c hr₀.ne', mem_closedBall] exact hr.1.le #align complex.schwarz_aux Complex.schwarz_aux
Mathlib/Analysis/Complex/Schwarz.lean
92
108
theorem norm_dslope_le_div_of_mapsTo_ball (hd : DifferentiableOn ℂ f (ball c R₁)) (h_maps : MapsTo f (ball c R₁) (ball (f c) R₂)) (hz : z ∈ ball c R₁) : ‖dslope f c z‖ ≤ R₂ / R₁ := by
have hR₁ : 0 < R₁ := nonempty_ball.1 ⟨z, hz⟩ have hR₂ : 0 < R₂ := nonempty_ball.1 ⟨f z, h_maps hz⟩ rcases eq_or_ne (dslope f c z) 0 with hc | hc · rw [hc, norm_zero]; exact div_nonneg hR₂.le hR₁.le rcases exists_dual_vector ℂ _ hc with ⟨g, hg, hgf⟩ have hg' : ‖g‖₊ = 1 := NNReal.eq hg have hg₀ : ‖g‖₊ ≠ 0 := by simpa only [hg'] using one_ne_zero calc ‖dslope f c z‖ = ‖dslope (g ∘ f) c z‖ := by rw [g.dslope_comp, hgf, RCLike.norm_ofReal, abs_norm] exact fun _ => hd.differentiableAt (ball_mem_nhds _ hR₁) _ ≤ R₂ / R₁ := by refine schwarz_aux (g.differentiable.comp_differentiableOn hd) (MapsTo.comp ?_ h_maps) hz simpa only [hg', NNReal.coe_one, one_mul] using g.lipschitz.mapsTo_ball hg₀ (f c) R₂
import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Data.SetLike.Fintype import Mathlib.GroupTheory.GroupAction.ConjAct import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.NoncommPiCoprod import Mathlib.Order.Atoms.Finite import Mathlib.Data.Set.Lattice #align_import group_theory.sylow from "leanprover-community/mathlib"@"4be589053caf347b899a494da75410deb55fb3ef" open Fintype MulAction Subgroup section InfiniteSylow variable (p : ℕ) (G : Type*) [Group G] structure Sylow extends Subgroup G where isPGroup' : IsPGroup p toSubgroup is_maximal' : ∀ {Q : Subgroup G}, IsPGroup p Q → toSubgroup ≤ Q → Q = toSubgroup #align sylow Sylow variable {p} {G} namespace Sylow attribute [coe] Sylow.toSubgroup -- Porting note: Changed to `CoeOut` instance : CoeOut (Sylow p G) (Subgroup G) := ⟨Sylow.toSubgroup⟩ -- Porting note: syntactic tautology -- @[simp] -- theorem toSubgroup_eq_coe {P : Sylow p G} : P.toSubgroup = ↑P := -- rfl #noalign sylow.to_subgroup_eq_coe @[ext] theorem ext {P Q : Sylow p G} (h : (P : Subgroup G) = Q) : P = Q := by cases P; cases Q; congr #align sylow.ext Sylow.ext theorem ext_iff {P Q : Sylow p G} : P = Q ↔ (P : Subgroup G) = Q := ⟨congr_arg _, ext⟩ #align sylow.ext_iff Sylow.ext_iff instance : SetLike (Sylow p G) G where coe := (↑) coe_injective' _ _ h := ext (SetLike.coe_injective h) instance : SubgroupClass (Sylow p G) G where mul_mem := Subgroup.mul_mem _ one_mem _ := Subgroup.one_mem _ inv_mem := Subgroup.inv_mem _ variable (P : Sylow p G) instance mulActionLeft {α : Type*} [MulAction G α] : MulAction P α := inferInstanceAs (MulAction (P : Subgroup G) α) #align sylow.mul_action_left Sylow.mulActionLeft variable {K : Type*} [Group K] (ϕ : K →* G) {N : Subgroup G} def comapOfKerIsPGroup (hϕ : IsPGroup p ϕ.ker) (h : ↑P ≤ ϕ.range) : Sylow p K := { P.1.comap ϕ with isPGroup' := P.2.comap_of_ker_isPGroup ϕ hϕ is_maximal' := fun {Q} hQ hle => by show Q = P.1.comap ϕ rw [← P.3 (hQ.map ϕ) (le_trans (ge_of_eq (map_comap_eq_self h)) (map_mono hle))] exact (comap_map_eq_self ((P.1.ker_le_comap ϕ).trans hle)).symm } #align sylow.comap_of_ker_is_p_group Sylow.comapOfKerIsPGroup @[simp] theorem coe_comapOfKerIsPGroup (hϕ : IsPGroup p ϕ.ker) (h : ↑P ≤ ϕ.range) : (P.comapOfKerIsPGroup ϕ hϕ h : Subgroup K) = Subgroup.comap ϕ ↑P := rfl #align sylow.coe_comap_of_ker_is_p_group Sylow.coe_comapOfKerIsPGroup def comapOfInjective (hϕ : Function.Injective ϕ) (h : ↑P ≤ ϕ.range) : Sylow p K := P.comapOfKerIsPGroup ϕ (IsPGroup.ker_isPGroup_of_injective hϕ) h #align sylow.comap_of_injective Sylow.comapOfInjective @[simp] theorem coe_comapOfInjective (hϕ : Function.Injective ϕ) (h : ↑P ≤ ϕ.range) : ↑(P.comapOfInjective ϕ hϕ h) = Subgroup.comap ϕ ↑P := rfl #align sylow.coe_comap_of_injective Sylow.coe_comapOfInjective protected def subtype (h : ↑P ≤ N) : Sylow p N := P.comapOfInjective N.subtype Subtype.coe_injective (by rwa [subtype_range]) #align sylow.subtype Sylow.subtype @[simp] theorem coe_subtype (h : ↑P ≤ N) : ↑(P.subtype h) = subgroupOf (↑P) N := rfl #align sylow.coe_subtype Sylow.coe_subtype
Mathlib/GroupTheory/Sylow.lean
138
141
theorem subtype_injective {P Q : Sylow p G} {hP : ↑P ≤ N} {hQ : ↑Q ≤ N} (h : P.subtype hP = Q.subtype hQ) : P = Q := by
rw [SetLike.ext_iff] at h ⊢ exact fun g => ⟨fun hg => (h ⟨g, hP hg⟩).mp hg, fun hg => (h ⟨g, hQ hg⟩).mpr hg⟩
import Mathlib.MeasureTheory.Measure.NullMeasurable import Mathlib.MeasureTheory.MeasurableSpace.Basic import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set open Filter hiding map open Function MeasurableSpace open scoped Classical symmDiff open Topology Filter ENNReal NNReal Interval MeasureTheory variable {α β γ δ ι R R' : Type*} namespace MeasureTheory section variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α} instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) := ⟨fun _s hs => let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs ⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩ #align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} : (∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by simp only [uIoc_eq_union, mem_union, or_imp, eventually_and] #align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ := measure_union₀ h.nullMeasurableSet hd.aedisjoint #align measure_theory.measure_union MeasureTheory.measure_union theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ := measure_union₀' h.nullMeasurableSet hd.aedisjoint #align measure_theory.measure_union' MeasureTheory.measure_union' theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s := measure_inter_add_diff₀ _ ht.nullMeasurableSet #align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s := (add_comm _ _).trans (measure_inter_add_diff s ht) #align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ← measure_inter_add_diff s ht] ac_rfl #align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) : μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm] #align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter' lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) : μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs) lemma measure_symmDiff_le (s t u : Set α) : μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) := le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u)) theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ := measure_add_measure_compl₀ h.nullMeasurableSet #align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by haveI := hs.toEncodable rw [biUnion_eq_iUnion] exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2 #align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀ theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f) (h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet #align measure_theory.measure_bUnion MeasureTheory.measure_biUnion theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ)) (h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h] #align measure_theory.measure_sUnion₀ MeasureTheory.measure_sUnion₀ theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint) (h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by rw [sUnion_eq_biUnion, measure_biUnion hs hd h] #align measure_theory.measure_sUnion MeasureTheory.measure_sUnion theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α} (hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype] exact measure_biUnion₀ s.countable_toSet hd hm #align measure_theory.measure_bUnion_finset₀ MeasureTheory.measure_biUnion_finset₀ theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f) (hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet #align measure_theory.measure_bUnion_finset MeasureTheory.measure_biUnion_finset theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} [MeasurableSpace α] (μ : Measure α) {As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ) (As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff] intro s simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i] gcongr exact iUnion_subset fun _ ↦ Subset.rfl theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} [MeasurableSpace α] (μ : Measure α) {As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i)) (As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet) (fun _ _ h ↦ Disjoint.aedisjoint (As_disj h)) #align measure_theory.tsum_meas_le_meas_Union_of_disjoint MeasureTheory.tsum_meas_le_meas_iUnion_of_disjoint theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β} (hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf] #align measure_theory.tsum_measure_preimage_singleton MeasureTheory.tsum_measure_preimage_singleton lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) : μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs] theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β} (hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf, Finset.set_biUnion_preimage_singleton] #align measure_theory.sum_measure_preimage_singleton MeasureTheory.sum_measure_preimage_singleton theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ := measure_congr <| diff_ae_eq_self.2 h #align measure_theory.measure_diff_null' MeasureTheory.measure_diff_null' theorem measure_add_diff (hs : MeasurableSet s) (t : Set α) : μ s + μ (t \ s) = μ (s ∪ t) := by rw [← measure_union' disjoint_sdiff_right hs, union_diff_self] #align measure_theory.measure_add_diff MeasureTheory.measure_add_diff theorem measure_diff' (s : Set α) (hm : MeasurableSet t) (h_fin : μ t ≠ ∞) : μ (s \ t) = μ (s ∪ t) - μ t := Eq.symm <| ENNReal.sub_eq_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm] #align measure_theory.measure_diff' MeasureTheory.measure_diff' theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : MeasurableSet s₂) (h_fin : μ s₂ ≠ ∞) : μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h] #align measure_theory.measure_diff MeasureTheory.measure_diff theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) := tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by gcongr; apply inter_subset_right #align measure_theory.le_measure_diff MeasureTheory.le_measure_diff theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞ from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩ intro u v hμuv hμu by_contra! hμv apply hμuv rw [Set.symmDiff_def, eq_top_iff] calc ∞ = μ u - μ v := (WithTop.sub_eq_top_iff.2 ⟨hμu, hμv⟩).symm _ ≤ μ (u \ v) := le_measure_diff _ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ := (measure_eq_top_iff_of_symmDiff hμst).ne theorem measure_diff_lt_of_lt_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} (h : μ t < μ s + ε) : μ (t \ s) < ε := by rw [measure_diff hst hs hs']; rw [add_comm] at h exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h #align measure_theory.measure_diff_lt_of_lt_add MeasureTheory.measure_diff_lt_of_lt_add theorem measure_diff_le_iff_le_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} : μ (t \ s) ≤ ε ↔ μ t ≤ μ s + ε := by rw [measure_diff hst hs hs', tsub_le_iff_left] #align measure_theory.measure_diff_le_iff_le_add MeasureTheory.measure_diff_le_iff_le_add theorem measure_eq_measure_of_null_diff {s t : Set α} (hst : s ⊆ t) (h_nulldiff : μ (t \ s) = 0) : μ s = μ t := measure_congr <| EventuallyLE.antisymm (HasSubset.Subset.eventuallyLE hst) (ae_le_set.mpr h_nulldiff) #align measure_theory.measure_eq_measure_of_null_diff MeasureTheory.measure_eq_measure_of_null_diff theorem measure_eq_measure_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ ∧ μ s₂ = μ s₃ := by have le12 : μ s₁ ≤ μ s₂ := measure_mono h12 have le23 : μ s₂ ≤ μ s₃ := measure_mono h23 have key : μ s₃ ≤ μ s₁ := calc μ s₃ = μ (s₃ \ s₁ ∪ s₁) := by rw [diff_union_of_subset (h12.trans h23)] _ ≤ μ (s₃ \ s₁) + μ s₁ := measure_union_le _ _ _ = μ s₁ := by simp only [h_nulldiff, zero_add] exact ⟨le12.antisymm (le23.trans key), le23.antisymm (key.trans le12)⟩ #align measure_theory.measure_eq_measure_of_between_null_diff MeasureTheory.measure_eq_measure_of_between_null_diff theorem measure_eq_measure_smaller_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ := (measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).1 #align measure_theory.measure_eq_measure_smaller_of_between_null_diff MeasureTheory.measure_eq_measure_smaller_of_between_null_diff theorem measure_eq_measure_larger_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₂ = μ s₃ := (measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).2 #align measure_theory.measure_eq_measure_larger_of_between_null_diff MeasureTheory.measure_eq_measure_larger_of_between_null_diff lemma measure_compl₀ (h : NullMeasurableSet s μ) (hs : μ s ≠ ∞) : μ sᶜ = μ Set.univ - μ s := by rw [← measure_add_measure_compl₀ h, ENNReal.add_sub_cancel_left hs] theorem measure_compl (h₁ : MeasurableSet s) (h_fin : μ s ≠ ∞) : μ sᶜ = μ univ - μ s := measure_compl₀ h₁.nullMeasurableSet h_fin #align measure_theory.measure_compl MeasureTheory.measure_compl lemma measure_inter_conull' (ht : μ (s \ t) = 0) : μ (s ∩ t) = μ s := by rw [← diff_compl, measure_diff_null']; rwa [← diff_eq] lemma measure_inter_conull (ht : μ tᶜ = 0) : μ (s ∩ t) = μ s := by rw [← diff_compl, measure_diff_null ht] @[simp] theorem union_ae_eq_left_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] s ↔ t ≤ᵐ[μ] s := by rw [ae_le_set] refine ⟨fun h => by simpa only [union_diff_left] using (ae_eq_set.mp h).1, fun h => eventuallyLE_antisymm_iff.mpr ⟨by rwa [ae_le_set, union_diff_left], HasSubset.Subset.eventuallyLE subset_union_left⟩⟩ #align measure_theory.union_ae_eq_left_iff_ae_subset MeasureTheory.union_ae_eq_left_iff_ae_subset @[simp] theorem union_ae_eq_right_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] t ↔ s ≤ᵐ[μ] t := by rw [union_comm, union_ae_eq_left_iff_ae_subset] #align measure_theory.union_ae_eq_right_iff_ae_subset MeasureTheory.union_ae_eq_right_iff_ae_subset theorem ae_eq_of_ae_subset_of_measure_ge (h₁ : s ≤ᵐ[μ] t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s) (ht : μ t ≠ ∞) : s =ᵐ[μ] t := by refine eventuallyLE_antisymm_iff.mpr ⟨h₁, ae_le_set.mpr ?_⟩ replace h₂ : μ t = μ s := h₂.antisymm (measure_mono_ae h₁) replace ht : μ s ≠ ∞ := h₂ ▸ ht rw [measure_diff' t hsm ht, measure_congr (union_ae_eq_left_iff_ae_subset.mpr h₁), h₂, tsub_self] #align measure_theory.ae_eq_of_ae_subset_of_measure_ge MeasureTheory.ae_eq_of_ae_subset_of_measure_ge theorem ae_eq_of_subset_of_measure_ge (h₁ : s ⊆ t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s) (ht : μ t ≠ ∞) : s =ᵐ[μ] t := ae_eq_of_ae_subset_of_measure_ge (HasSubset.Subset.eventuallyLE h₁) h₂ hsm ht #align measure_theory.ae_eq_of_subset_of_measure_ge MeasureTheory.ae_eq_of_subset_of_measure_ge
Mathlib/MeasureTheory/Measure/MeasureSpace.lean
347
372
theorem measure_iUnion_congr_of_subset [Countable β] {s : β → Set α} {t : β → Set α} (hsub : ∀ b, s b ⊆ t b) (h_le : ∀ b, μ (t b) ≤ μ (s b)) : μ (⋃ b, s b) = μ (⋃ b, t b) := by
rcases Classical.em (∃ b, μ (t b) = ∞) with (⟨b, hb⟩ | htop) · calc μ (⋃ b, s b) = ∞ := top_unique (hb ▸ (h_le b).trans <| measure_mono <| subset_iUnion _ _) _ = μ (⋃ b, t b) := Eq.symm <| top_unique <| hb ▸ measure_mono (subset_iUnion _ _) push_neg at htop refine le_antisymm (measure_mono (iUnion_mono hsub)) ?_ set M := toMeasurable μ have H : ∀ b, (M (t b) ∩ M (⋃ b, s b) : Set α) =ᵐ[μ] M (t b) := by refine fun b => ae_eq_of_subset_of_measure_ge inter_subset_left ?_ ?_ ?_ · calc μ (M (t b)) = μ (t b) := measure_toMeasurable _ _ ≤ μ (s b) := h_le b _ ≤ μ (M (t b) ∩ M (⋃ b, s b)) := measure_mono <| subset_inter ((hsub b).trans <| subset_toMeasurable _ _) ((subset_iUnion _ _).trans <| subset_toMeasurable _ _) · exact (measurableSet_toMeasurable _ _).inter (measurableSet_toMeasurable _ _) · rw [measure_toMeasurable] exact htop b calc μ (⋃ b, t b) ≤ μ (⋃ b, M (t b)) := measure_mono (iUnion_mono fun b => subset_toMeasurable _ _) _ = μ (⋃ b, M (t b) ∩ M (⋃ b, s b)) := measure_congr (EventuallyEq.countable_iUnion H).symm _ ≤ μ (M (⋃ b, s b)) := measure_mono (iUnion_subset fun b => inter_subset_right) _ = μ (⋃ b, s b) := measure_toMeasurable _
import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.LinearAlgebra.Matrix.ToLin #align_import linear_algebra.matrix.basis from "leanprover-community/mathlib"@"6c263e4bfc2e6714de30f22178b4d0ca4d149a76" noncomputable section open LinearMap Matrix Set Submodule open Matrix section BasisToMatrix variable {ι ι' κ κ' : Type*} variable {R M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M] variable {R₂ M₂ : Type*} [CommRing R₂] [AddCommGroup M₂] [Module R₂ M₂] open Function Matrix def Basis.toMatrix (e : Basis ι R M) (v : ι' → M) : Matrix ι ι' R := fun i j => e.repr (v j) i #align basis.to_matrix Basis.toMatrix variable (e : Basis ι R M) (v : ι' → M) (i : ι) (j : ι') namespace Basis theorem toMatrix_apply : e.toMatrix v i j = e.repr (v j) i := rfl #align basis.to_matrix_apply Basis.toMatrix_apply theorem toMatrix_transpose_apply : (e.toMatrix v)ᵀ j = e.repr (v j) := funext fun _ => rfl #align basis.to_matrix_transpose_apply Basis.toMatrix_transpose_apply theorem toMatrix_eq_toMatrix_constr [Fintype ι] [DecidableEq ι] (v : ι → M) : e.toMatrix v = LinearMap.toMatrix e e (e.constr ℕ v) := by ext rw [Basis.toMatrix_apply, LinearMap.toMatrix_apply, Basis.constr_basis] #align basis.to_matrix_eq_to_matrix_constr Basis.toMatrix_eq_toMatrix_constr -- TODO (maybe) Adjust the definition of `Basis.toMatrix` to eliminate the transpose. theorem coePiBasisFun.toMatrix_eq_transpose [Finite ι] : ((Pi.basisFun R ι).toMatrix : Matrix ι ι R → Matrix ι ι R) = Matrix.transpose := by ext M i j rfl #align basis.coe_pi_basis_fun.to_matrix_eq_transpose Basis.coePiBasisFun.toMatrix_eq_transpose @[simp] theorem toMatrix_self [DecidableEq ι] : e.toMatrix e = 1 := by unfold Basis.toMatrix ext i j simp [Basis.equivFun, Matrix.one_apply, Finsupp.single_apply, eq_comm] #align basis.to_matrix_self Basis.toMatrix_self theorem toMatrix_update [DecidableEq ι'] (x : M) : e.toMatrix (Function.update v j x) = Matrix.updateColumn (e.toMatrix v) j (e.repr x) := by ext i' k rw [Basis.toMatrix, Matrix.updateColumn_apply, e.toMatrix_apply] split_ifs with h · rw [h, update_same j x v] · rw [update_noteq h] #align basis.to_matrix_update Basis.toMatrix_update @[simp] theorem toMatrix_unitsSMul [DecidableEq ι] (e : Basis ι R₂ M₂) (w : ι → R₂ˣ) : e.toMatrix (e.unitsSMul w) = diagonal ((↑) ∘ w) := by ext i j by_cases h : i = j · simp [h, toMatrix_apply, unitsSMul_apply, Units.smul_def] · simp [h, toMatrix_apply, unitsSMul_apply, Units.smul_def, Ne.symm h] #align basis.to_matrix_units_smul Basis.toMatrix_unitsSMul @[simp] theorem toMatrix_isUnitSMul [DecidableEq ι] (e : Basis ι R₂ M₂) {w : ι → R₂} (hw : ∀ i, IsUnit (w i)) : e.toMatrix (e.isUnitSMul hw) = diagonal w := e.toMatrix_unitsSMul _ #align basis.to_matrix_is_unit_smul Basis.toMatrix_isUnitSMul @[simp]
Mathlib/LinearAlgebra/Matrix/Basis.lean
113
114
theorem sum_toMatrix_smul_self [Fintype ι] : ∑ i : ι, e.toMatrix v i j • e i = v j := by
simp_rw [e.toMatrix_apply, e.sum_repr]
import Mathlib.Init.Function import Mathlib.Init.Order.Defs #align_import data.bool.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23" namespace Bool @[deprecated (since := "2024-06-07")] alias decide_True := decide_true_eq_true #align bool.to_bool_true decide_true_eq_true @[deprecated (since := "2024-06-07")] alias decide_False := decide_false_eq_false #align bool.to_bool_false decide_false_eq_false #align bool.to_bool_coe Bool.decide_coe @[deprecated (since := "2024-06-07")] alias coe_decide := decide_eq_true_iff #align bool.coe_to_bool decide_eq_true_iff @[deprecated decide_eq_true_iff (since := "2024-06-07")] alias of_decide_iff := decide_eq_true_iff #align bool.of_to_bool_iff decide_eq_true_iff #align bool.tt_eq_to_bool_iff true_eq_decide_iff #align bool.ff_eq_to_bool_iff false_eq_decide_iff @[deprecated (since := "2024-06-07")] alias decide_not := decide_not #align bool.to_bool_not decide_not #align bool.to_bool_and Bool.decide_and #align bool.to_bool_or Bool.decide_or #align bool.to_bool_eq decide_eq_decide @[deprecated (since := "2024-06-07")] alias not_false' := false_ne_true #align bool.not_ff Bool.false_ne_true @[deprecated (since := "2024-06-07")] alias eq_iff_eq_true_iff := eq_iff_iff #align bool.default_bool Bool.default_bool theorem dichotomy (b : Bool) : b = false ∨ b = true := by cases b <;> simp #align bool.dichotomy Bool.dichotomy theorem forall_bool' {p : Bool → Prop} (b : Bool) : (∀ x, p x) ↔ p b ∧ p !b := ⟨fun h ↦ ⟨h _, h _⟩, fun ⟨h₁, h₂⟩ x ↦ by cases b <;> cases x <;> assumption⟩ @[simp] theorem forall_bool {p : Bool → Prop} : (∀ b, p b) ↔ p false ∧ p true := forall_bool' false #align bool.forall_bool Bool.forall_bool theorem exists_bool' {p : Bool → Prop} (b : Bool) : (∃ x, p x) ↔ p b ∨ p !b := ⟨fun ⟨x, hx⟩ ↦ by cases x <;> cases b <;> first | exact .inl ‹_› | exact .inr ‹_›, fun h ↦ by cases h <;> exact ⟨_, ‹_›⟩⟩ @[simp] theorem exists_bool {p : Bool → Prop} : (∃ b, p b) ↔ p false ∨ p true := exists_bool' false #align bool.exists_bool Bool.exists_bool #align bool.decidable_forall_bool Bool.instDecidableForallOfDecidablePred #align bool.decidable_exists_bool Bool.instDecidableExistsOfDecidablePred #align bool.cond_eq_ite Bool.cond_eq_ite #align bool.cond_to_bool Bool.cond_decide #align bool.cond_bnot Bool.cond_not theorem not_ne_id : not ≠ id := fun h ↦ false_ne_true <| congrFun h true #align bool.bnot_ne_id Bool.not_ne_id #align bool.coe_bool_iff Bool.coe_iff_coe @[deprecated (since := "2024-06-07")] alias eq_true_of_ne_false := eq_true_of_ne_false #align bool.eq_tt_of_ne_ff eq_true_of_ne_false @[deprecated (since := "2024-06-07")] alias eq_false_of_ne_true := eq_false_of_ne_true #align bool.eq_ff_of_ne_tt eq_true_of_ne_false #align bool.bor_comm Bool.or_comm #align bool.bor_assoc Bool.or_assoc #align bool.bor_left_comm Bool.or_left_comm theorem or_inl {a b : Bool} (H : a) : a || b := by simp [H] #align bool.bor_inl Bool.or_inl
Mathlib/Data/Bool/Basic.lean
102
102
theorem or_inr {a b : Bool} (H : b) : a || b := by
cases a <;> simp [H]
import Mathlib.MeasureTheory.Decomposition.RadonNikodym import Mathlib.Probability.Kernel.Disintegration.CdfToKernel #align_import probability.kernel.cond_cdf from "leanprover-community/mathlib"@"3b88f4005dc2e28d42f974cc1ce838f0dafb39b8" open MeasureTheory Set Filter TopologicalSpace open scoped NNReal ENNReal MeasureTheory Topology namespace MeasureTheory.Measure variable {α β : Type*} {mα : MeasurableSpace α} (ρ : Measure (α × ℝ)) noncomputable def IicSnd (r : ℝ) : Measure α := (ρ.restrict (univ ×ˢ Iic r)).fst #align measure_theory.measure.Iic_snd MeasureTheory.Measure.IicSnd theorem IicSnd_apply (r : ℝ) {s : Set α} (hs : MeasurableSet s) : ρ.IicSnd r s = ρ (s ×ˢ Iic r) := by rw [IicSnd, fst_apply hs, restrict_apply' (MeasurableSet.univ.prod (measurableSet_Iic : MeasurableSet (Iic r))), ← prod_univ, prod_inter_prod, inter_univ, univ_inter] #align measure_theory.measure.Iic_snd_apply MeasureTheory.Measure.IicSnd_apply theorem IicSnd_univ (r : ℝ) : ρ.IicSnd r univ = ρ (univ ×ˢ Iic r) := IicSnd_apply ρ r MeasurableSet.univ #align measure_theory.measure.Iic_snd_univ MeasureTheory.Measure.IicSnd_univ
Mathlib/Probability/Kernel/Disintegration/CondCdf.lean
65
69
theorem IicSnd_mono {r r' : ℝ} (h_le : r ≤ r') : ρ.IicSnd r ≤ ρ.IicSnd r' := by
refine Measure.le_iff.2 fun s hs ↦ ?_ simp_rw [IicSnd_apply ρ _ hs] refine measure_mono (prod_subset_prod_iff.mpr (Or.inl ⟨subset_rfl, Iic_subset_Iic.mpr ?_⟩)) exact mod_cast h_le
import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.LinearAlgebra.SesquilinearForm #align_import analysis.inner_product_space.orthogonal from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {𝕜 E F : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable [NormedAddCommGroup F] [InnerProductSpace 𝕜 F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y namespace Submodule variable (K : Submodule 𝕜 E) def orthogonal : Submodule 𝕜 E where carrier := { v | ∀ u ∈ K, ⟪u, v⟫ = 0 } zero_mem' _ _ := inner_zero_right _ add_mem' hx hy u hu := by rw [inner_add_right, hx u hu, hy u hu, add_zero] smul_mem' c x hx u hu := by rw [inner_smul_right, hx u hu, mul_zero] #align submodule.orthogonal Submodule.orthogonal @[inherit_doc] notation:1200 K "ᗮ" => orthogonal K theorem mem_orthogonal (v : E) : v ∈ Kᗮ ↔ ∀ u ∈ K, ⟪u, v⟫ = 0 := Iff.rfl #align submodule.mem_orthogonal Submodule.mem_orthogonal theorem mem_orthogonal' (v : E) : v ∈ Kᗮ ↔ ∀ u ∈ K, ⟪v, u⟫ = 0 := by simp_rw [mem_orthogonal, inner_eq_zero_symm] #align submodule.mem_orthogonal' Submodule.mem_orthogonal' variable {K} theorem inner_right_of_mem_orthogonal {u v : E} (hu : u ∈ K) (hv : v ∈ Kᗮ) : ⟪u, v⟫ = 0 := (K.mem_orthogonal v).1 hv u hu #align submodule.inner_right_of_mem_orthogonal Submodule.inner_right_of_mem_orthogonal theorem inner_left_of_mem_orthogonal {u v : E} (hu : u ∈ K) (hv : v ∈ Kᗮ) : ⟪v, u⟫ = 0 := by rw [inner_eq_zero_symm]; exact inner_right_of_mem_orthogonal hu hv #align submodule.inner_left_of_mem_orthogonal Submodule.inner_left_of_mem_orthogonal theorem mem_orthogonal_singleton_iff_inner_right {u v : E} : v ∈ (𝕜 ∙ u)ᗮ ↔ ⟪u, v⟫ = 0 := by refine ⟨inner_right_of_mem_orthogonal (mem_span_singleton_self u), ?_⟩ intro hv w hw rw [mem_span_singleton] at hw obtain ⟨c, rfl⟩ := hw simp [inner_smul_left, hv] #align submodule.mem_orthogonal_singleton_iff_inner_right Submodule.mem_orthogonal_singleton_iff_inner_right
Mathlib/Analysis/InnerProductSpace/Orthogonal.lean
82
83
theorem mem_orthogonal_singleton_iff_inner_left {u v : E} : v ∈ (𝕜 ∙ u)ᗮ ↔ ⟪v, u⟫ = 0 := by
rw [mem_orthogonal_singleton_iff_inner_right, inner_eq_zero_symm]
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Algebra.Module.LinearMap.Basic import Mathlib.Data.Finset.Preimage import Mathlib.Data.Set.Finite import Mathlib.GroupTheory.GroupAction.BigOperators #align_import data.dfinsupp.basic from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" universe u u₁ u₂ v v₁ v₂ v₃ w x y l variable {ι : Type u} {γ : Type w} {β : ι → Type v} {β₁ : ι → Type v₁} {β₂ : ι → Type v₂} variable (β) structure DFinsupp [∀ i, Zero (β i)] : Type max u v where mk' :: toFun : ∀ i, β i support' : Trunc { s : Multiset ι // ∀ i, i ∈ s ∨ toFun i = 0 } #align dfinsupp DFinsupp variable {β} notation3 "Π₀ "(...)", "r:(scoped f => DFinsupp f) => r namespace DFinsupp section Basic variable [∀ i, Zero (β i)] [∀ i, Zero (β₁ i)] [∀ i, Zero (β₂ i)] instance instDFunLike : DFunLike (Π₀ i, β i) ι β := ⟨fun f => f.toFun, fun ⟨f₁, s₁⟩ ⟨f₂, s₁⟩ ↦ fun (h : f₁ = f₂) ↦ by subst h congr apply Subsingleton.elim ⟩ #align dfinsupp.fun_like DFinsupp.instDFunLike instance : CoeFun (Π₀ i, β i) fun _ => ∀ i, β i := inferInstance @[simp] theorem toFun_eq_coe (f : Π₀ i, β i) : f.toFun = f := rfl #align dfinsupp.to_fun_eq_coe DFinsupp.toFun_eq_coe @[ext] theorem ext {f g : Π₀ i, β i} (h : ∀ i, f i = g i) : f = g := DFunLike.ext _ _ h #align dfinsupp.ext DFinsupp.ext #align dfinsupp.ext_iff DFunLike.ext_iff #align dfinsupp.coe_fn_injective DFunLike.coe_injective lemma ne_iff {f g : Π₀ i, β i} : f ≠ g ↔ ∃ i, f i ≠ g i := DFunLike.ne_iff instance : Zero (Π₀ i, β i) := ⟨⟨0, Trunc.mk <| ⟨∅, fun _ => Or.inr rfl⟩⟩⟩ instance : Inhabited (Π₀ i, β i) := ⟨0⟩ @[simp, norm_cast] lemma coe_mk' (f : ∀ i, β i) (s) : ⇑(⟨f, s⟩ : Π₀ i, β i) = f := rfl #align dfinsupp.coe_mk' DFinsupp.coe_mk' @[simp, norm_cast] lemma coe_zero : ⇑(0 : Π₀ i, β i) = 0 := rfl #align dfinsupp.coe_zero DFinsupp.coe_zero theorem zero_apply (i : ι) : (0 : Π₀ i, β i) i = 0 := rfl #align dfinsupp.zero_apply DFinsupp.zero_apply def mapRange (f : ∀ i, β₁ i → β₂ i) (hf : ∀ i, f i 0 = 0) (x : Π₀ i, β₁ i) : Π₀ i, β₂ i := ⟨fun i => f i (x i), x.support'.map fun s => ⟨s.1, fun i => (s.2 i).imp_right fun h : x i = 0 => by rw [← hf i, ← h]⟩⟩ #align dfinsupp.map_range DFinsupp.mapRange @[simp] theorem mapRange_apply (f : ∀ i, β₁ i → β₂ i) (hf : ∀ i, f i 0 = 0) (g : Π₀ i, β₁ i) (i : ι) : mapRange f hf g i = f i (g i) := rfl #align dfinsupp.map_range_apply DFinsupp.mapRange_apply @[simp] theorem mapRange_id (h : ∀ i, id (0 : β₁ i) = 0 := fun i => rfl) (g : Π₀ i : ι, β₁ i) : mapRange (fun i => (id : β₁ i → β₁ i)) h g = g := by ext rfl #align dfinsupp.map_range_id DFinsupp.mapRange_id
Mathlib/Data/DFinsupp/Basic.lean
150
154
theorem mapRange_comp (f : ∀ i, β₁ i → β₂ i) (f₂ : ∀ i, β i → β₁ i) (hf : ∀ i, f i 0 = 0) (hf₂ : ∀ i, f₂ i 0 = 0) (h : ∀ i, (f i ∘ f₂ i) 0 = 0) (g : Π₀ i : ι, β i) : mapRange (fun i => f i ∘ f₂ i) h g = mapRange f hf (mapRange f₂ hf₂ g) := by
ext simp only [mapRange_apply]; rfl
import Mathlib.Order.Interval.Set.Basic import Mathlib.Data.Set.NAry import Mathlib.Order.Directed #align_import order.bounds.basic from "leanprover-community/mathlib"@"b1abe23ae96fef89ad30d9f4362c307f72a55010" open Function Set open OrderDual (toDual ofDual) universe u v w x variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} section variable [Preorder α] [Preorder β] {s t : Set α} {a b : α} def upperBounds (s : Set α) : Set α := { x | ∀ ⦃a⦄, a ∈ s → a ≤ x } #align upper_bounds upperBounds def lowerBounds (s : Set α) : Set α := { x | ∀ ⦃a⦄, a ∈ s → x ≤ a } #align lower_bounds lowerBounds def BddAbove (s : Set α) := (upperBounds s).Nonempty #align bdd_above BddAbove def BddBelow (s : Set α) := (lowerBounds s).Nonempty #align bdd_below BddBelow def IsLeast (s : Set α) (a : α) : Prop := a ∈ s ∧ a ∈ lowerBounds s #align is_least IsLeast def IsGreatest (s : Set α) (a : α) : Prop := a ∈ s ∧ a ∈ upperBounds s #align is_greatest IsGreatest def IsLUB (s : Set α) : α → Prop := IsLeast (upperBounds s) #align is_lub IsLUB def IsGLB (s : Set α) : α → Prop := IsGreatest (lowerBounds s) #align is_glb IsGLB theorem mem_upperBounds : a ∈ upperBounds s ↔ ∀ x ∈ s, x ≤ a := Iff.rfl #align mem_upper_bounds mem_upperBounds theorem mem_lowerBounds : a ∈ lowerBounds s ↔ ∀ x ∈ s, a ≤ x := Iff.rfl #align mem_lower_bounds mem_lowerBounds lemma mem_upperBounds_iff_subset_Iic : a ∈ upperBounds s ↔ s ⊆ Iic a := Iff.rfl #align mem_upper_bounds_iff_subset_Iic mem_upperBounds_iff_subset_Iic lemma mem_lowerBounds_iff_subset_Ici : a ∈ lowerBounds s ↔ s ⊆ Ici a := Iff.rfl #align mem_lower_bounds_iff_subset_Ici mem_lowerBounds_iff_subset_Ici theorem bddAbove_def : BddAbove s ↔ ∃ x, ∀ y ∈ s, y ≤ x := Iff.rfl #align bdd_above_def bddAbove_def theorem bddBelow_def : BddBelow s ↔ ∃ x, ∀ y ∈ s, x ≤ y := Iff.rfl #align bdd_below_def bddBelow_def theorem bot_mem_lowerBounds [OrderBot α] (s : Set α) : ⊥ ∈ lowerBounds s := fun _ _ => bot_le #align bot_mem_lower_bounds bot_mem_lowerBounds theorem top_mem_upperBounds [OrderTop α] (s : Set α) : ⊤ ∈ upperBounds s := fun _ _ => le_top #align top_mem_upper_bounds top_mem_upperBounds @[simp] theorem isLeast_bot_iff [OrderBot α] : IsLeast s ⊥ ↔ ⊥ ∈ s := and_iff_left <| bot_mem_lowerBounds _ #align is_least_bot_iff isLeast_bot_iff @[simp] theorem isGreatest_top_iff [OrderTop α] : IsGreatest s ⊤ ↔ ⊤ ∈ s := and_iff_left <| top_mem_upperBounds _ #align is_greatest_top_iff isGreatest_top_iff theorem not_bddAbove_iff' : ¬BddAbove s ↔ ∀ x, ∃ y ∈ s, ¬y ≤ x := by simp [BddAbove, upperBounds, Set.Nonempty] #align not_bdd_above_iff' not_bddAbove_iff' theorem not_bddBelow_iff' : ¬BddBelow s ↔ ∀ x, ∃ y ∈ s, ¬x ≤ y := @not_bddAbove_iff' αᵒᵈ _ _ #align not_bdd_below_iff' not_bddBelow_iff' theorem not_bddAbove_iff {α : Type*} [LinearOrder α] {s : Set α} : ¬BddAbove s ↔ ∀ x, ∃ y ∈ s, x < y := by simp only [not_bddAbove_iff', not_le] #align not_bdd_above_iff not_bddAbove_iff theorem not_bddBelow_iff {α : Type*} [LinearOrder α] {s : Set α} : ¬BddBelow s ↔ ∀ x, ∃ y ∈ s, y < x := @not_bddAbove_iff αᵒᵈ _ _ #align not_bdd_below_iff not_bddBelow_iff @[simp] lemma bddBelow_preimage_ofDual {s : Set α} : BddBelow (ofDual ⁻¹' s) ↔ BddAbove s := Iff.rfl @[simp] lemma bddAbove_preimage_ofDual {s : Set α} : BddAbove (ofDual ⁻¹' s) ↔ BddBelow s := Iff.rfl @[simp] lemma bddBelow_preimage_toDual {s : Set αᵒᵈ} : BddBelow (toDual ⁻¹' s) ↔ BddAbove s := Iff.rfl @[simp] lemma bddAbove_preimage_toDual {s : Set αᵒᵈ} : BddAbove (toDual ⁻¹' s) ↔ BddBelow s := Iff.rfl theorem BddAbove.dual (h : BddAbove s) : BddBelow (ofDual ⁻¹' s) := h #align bdd_above.dual BddAbove.dual theorem BddBelow.dual (h : BddBelow s) : BddAbove (ofDual ⁻¹' s) := h #align bdd_below.dual BddBelow.dual theorem IsLeast.dual (h : IsLeast s a) : IsGreatest (ofDual ⁻¹' s) (toDual a) := h #align is_least.dual IsLeast.dual theorem IsGreatest.dual (h : IsGreatest s a) : IsLeast (ofDual ⁻¹' s) (toDual a) := h #align is_greatest.dual IsGreatest.dual theorem IsLUB.dual (h : IsLUB s a) : IsGLB (ofDual ⁻¹' s) (toDual a) := h #align is_lub.dual IsLUB.dual theorem IsGLB.dual (h : IsGLB s a) : IsLUB (ofDual ⁻¹' s) (toDual a) := h #align is_glb.dual IsGLB.dual abbrev IsLeast.orderBot (h : IsLeast s a) : OrderBot s where bot := ⟨a, h.1⟩ bot_le := Subtype.forall.2 h.2 #align is_least.order_bot IsLeast.orderBot abbrev IsGreatest.orderTop (h : IsGreatest s a) : OrderTop s where top := ⟨a, h.1⟩ le_top := Subtype.forall.2 h.2 #align is_greatest.order_top IsGreatest.orderTop theorem upperBounds_mono_set ⦃s t : Set α⦄ (hst : s ⊆ t) : upperBounds t ⊆ upperBounds s := fun _ hb _ h => hb <| hst h #align upper_bounds_mono_set upperBounds_mono_set theorem lowerBounds_mono_set ⦃s t : Set α⦄ (hst : s ⊆ t) : lowerBounds t ⊆ lowerBounds s := fun _ hb _ h => hb <| hst h #align lower_bounds_mono_set lowerBounds_mono_set theorem upperBounds_mono_mem ⦃a b⦄ (hab : a ≤ b) : a ∈ upperBounds s → b ∈ upperBounds s := fun ha _ h => le_trans (ha h) hab #align upper_bounds_mono_mem upperBounds_mono_mem theorem lowerBounds_mono_mem ⦃a b⦄ (hab : a ≤ b) : b ∈ lowerBounds s → a ∈ lowerBounds s := fun hb _ h => le_trans hab (hb h) #align lower_bounds_mono_mem lowerBounds_mono_mem theorem upperBounds_mono ⦃s t : Set α⦄ (hst : s ⊆ t) ⦃a b⦄ (hab : a ≤ b) : a ∈ upperBounds t → b ∈ upperBounds s := fun ha => upperBounds_mono_set hst <| upperBounds_mono_mem hab ha #align upper_bounds_mono upperBounds_mono theorem lowerBounds_mono ⦃s t : Set α⦄ (hst : s ⊆ t) ⦃a b⦄ (hab : a ≤ b) : b ∈ lowerBounds t → a ∈ lowerBounds s := fun hb => lowerBounds_mono_set hst <| lowerBounds_mono_mem hab hb #align lower_bounds_mono lowerBounds_mono theorem BddAbove.mono ⦃s t : Set α⦄ (h : s ⊆ t) : BddAbove t → BddAbove s := Nonempty.mono <| upperBounds_mono_set h #align bdd_above.mono BddAbove.mono theorem BddBelow.mono ⦃s t : Set α⦄ (h : s ⊆ t) : BddBelow t → BddBelow s := Nonempty.mono <| lowerBounds_mono_set h #align bdd_below.mono BddBelow.mono theorem IsLUB.of_subset_of_superset {s t p : Set α} (hs : IsLUB s a) (hp : IsLUB p a) (hst : s ⊆ t) (htp : t ⊆ p) : IsLUB t a := ⟨upperBounds_mono_set htp hp.1, lowerBounds_mono_set (upperBounds_mono_set hst) hs.2⟩ #align is_lub.of_subset_of_superset IsLUB.of_subset_of_superset theorem IsGLB.of_subset_of_superset {s t p : Set α} (hs : IsGLB s a) (hp : IsGLB p a) (hst : s ⊆ t) (htp : t ⊆ p) : IsGLB t a := hs.dual.of_subset_of_superset hp hst htp #align is_glb.of_subset_of_superset IsGLB.of_subset_of_superset theorem IsLeast.mono (ha : IsLeast s a) (hb : IsLeast t b) (hst : s ⊆ t) : b ≤ a := hb.2 (hst ha.1) #align is_least.mono IsLeast.mono theorem IsGreatest.mono (ha : IsGreatest s a) (hb : IsGreatest t b) (hst : s ⊆ t) : a ≤ b := hb.2 (hst ha.1) #align is_greatest.mono IsGreatest.mono theorem IsLUB.mono (ha : IsLUB s a) (hb : IsLUB t b) (hst : s ⊆ t) : a ≤ b := IsLeast.mono hb ha <| upperBounds_mono_set hst #align is_lub.mono IsLUB.mono theorem IsGLB.mono (ha : IsGLB s a) (hb : IsGLB t b) (hst : s ⊆ t) : b ≤ a := IsGreatest.mono hb ha <| lowerBounds_mono_set hst #align is_glb.mono IsGLB.mono theorem subset_lowerBounds_upperBounds (s : Set α) : s ⊆ lowerBounds (upperBounds s) := fun _ hx _ hy => hy hx #align subset_lower_bounds_upper_bounds subset_lowerBounds_upperBounds theorem subset_upperBounds_lowerBounds (s : Set α) : s ⊆ upperBounds (lowerBounds s) := fun _ hx _ hy => hy hx #align subset_upper_bounds_lower_bounds subset_upperBounds_lowerBounds theorem Set.Nonempty.bddAbove_lowerBounds (hs : s.Nonempty) : BddAbove (lowerBounds s) := hs.mono (subset_upperBounds_lowerBounds s) #align set.nonempty.bdd_above_lower_bounds Set.Nonempty.bddAbove_lowerBounds theorem Set.Nonempty.bddBelow_upperBounds (hs : s.Nonempty) : BddBelow (upperBounds s) := hs.mono (subset_lowerBounds_upperBounds s) #align set.nonempty.bdd_below_upper_bounds Set.Nonempty.bddBelow_upperBounds theorem IsLeast.isGLB (h : IsLeast s a) : IsGLB s a := ⟨h.2, fun _ hb => hb h.1⟩ #align is_least.is_glb IsLeast.isGLB theorem IsGreatest.isLUB (h : IsGreatest s a) : IsLUB s a := ⟨h.2, fun _ hb => hb h.1⟩ #align is_greatest.is_lub IsGreatest.isLUB theorem IsLUB.upperBounds_eq (h : IsLUB s a) : upperBounds s = Ici a := Set.ext fun _ => ⟨fun hb => h.2 hb, fun hb => upperBounds_mono_mem hb h.1⟩ #align is_lub.upper_bounds_eq IsLUB.upperBounds_eq theorem IsGLB.lowerBounds_eq (h : IsGLB s a) : lowerBounds s = Iic a := h.dual.upperBounds_eq #align is_glb.lower_bounds_eq IsGLB.lowerBounds_eq theorem IsLeast.lowerBounds_eq (h : IsLeast s a) : lowerBounds s = Iic a := h.isGLB.lowerBounds_eq #align is_least.lower_bounds_eq IsLeast.lowerBounds_eq theorem IsGreatest.upperBounds_eq (h : IsGreatest s a) : upperBounds s = Ici a := h.isLUB.upperBounds_eq #align is_greatest.upper_bounds_eq IsGreatest.upperBounds_eq -- Porting note (#10756): new lemma theorem IsGreatest.lt_iff (h : IsGreatest s a) : a < b ↔ ∀ x ∈ s, x < b := ⟨fun hlt _x hx => (h.2 hx).trans_lt hlt, fun h' => h' _ h.1⟩ -- Porting note (#10756): new lemma theorem IsLeast.lt_iff (h : IsLeast s a) : b < a ↔ ∀ x ∈ s, b < x := h.dual.lt_iff theorem isLUB_le_iff (h : IsLUB s a) : a ≤ b ↔ b ∈ upperBounds s := by rw [h.upperBounds_eq] rfl #align is_lub_le_iff isLUB_le_iff theorem le_isGLB_iff (h : IsGLB s a) : b ≤ a ↔ b ∈ lowerBounds s := by rw [h.lowerBounds_eq] rfl #align le_is_glb_iff le_isGLB_iff theorem isLUB_iff_le_iff : IsLUB s a ↔ ∀ b, a ≤ b ↔ b ∈ upperBounds s := ⟨fun h _ => isLUB_le_iff h, fun H => ⟨(H _).1 le_rfl, fun b hb => (H b).2 hb⟩⟩ #align is_lub_iff_le_iff isLUB_iff_le_iff theorem isGLB_iff_le_iff : IsGLB s a ↔ ∀ b, b ≤ a ↔ b ∈ lowerBounds s := @isLUB_iff_le_iff αᵒᵈ _ _ _ #align is_glb_iff_le_iff isGLB_iff_le_iff theorem IsLUB.bddAbove (h : IsLUB s a) : BddAbove s := ⟨a, h.1⟩ #align is_lub.bdd_above IsLUB.bddAbove theorem IsGLB.bddBelow (h : IsGLB s a) : BddBelow s := ⟨a, h.1⟩ #align is_glb.bdd_below IsGLB.bddBelow theorem IsGreatest.bddAbove (h : IsGreatest s a) : BddAbove s := ⟨a, h.2⟩ #align is_greatest.bdd_above IsGreatest.bddAbove theorem IsLeast.bddBelow (h : IsLeast s a) : BddBelow s := ⟨a, h.2⟩ #align is_least.bdd_below IsLeast.bddBelow theorem IsLeast.nonempty (h : IsLeast s a) : s.Nonempty := ⟨a, h.1⟩ #align is_least.nonempty IsLeast.nonempty theorem IsGreatest.nonempty (h : IsGreatest s a) : s.Nonempty := ⟨a, h.1⟩ #align is_greatest.nonempty IsGreatest.nonempty @[simp] theorem upperBounds_union : upperBounds (s ∪ t) = upperBounds s ∩ upperBounds t := Subset.antisymm (fun _ hb => ⟨fun _ hx => hb (Or.inl hx), fun _ hx => hb (Or.inr hx)⟩) fun _ hb _ hx => hx.elim (fun hs => hb.1 hs) fun ht => hb.2 ht #align upper_bounds_union upperBounds_union @[simp] theorem lowerBounds_union : lowerBounds (s ∪ t) = lowerBounds s ∩ lowerBounds t := @upperBounds_union αᵒᵈ _ s t #align lower_bounds_union lowerBounds_union theorem union_upperBounds_subset_upperBounds_inter : upperBounds s ∪ upperBounds t ⊆ upperBounds (s ∩ t) := union_subset (upperBounds_mono_set inter_subset_left) (upperBounds_mono_set inter_subset_right) #align union_upper_bounds_subset_upper_bounds_inter union_upperBounds_subset_upperBounds_inter theorem union_lowerBounds_subset_lowerBounds_inter : lowerBounds s ∪ lowerBounds t ⊆ lowerBounds (s ∩ t) := @union_upperBounds_subset_upperBounds_inter αᵒᵈ _ s t #align union_lower_bounds_subset_lower_bounds_inter union_lowerBounds_subset_lowerBounds_inter theorem isLeast_union_iff {a : α} {s t : Set α} : IsLeast (s ∪ t) a ↔ IsLeast s a ∧ a ∈ lowerBounds t ∨ a ∈ lowerBounds s ∧ IsLeast t a := by simp [IsLeast, lowerBounds_union, or_and_right, and_comm (a := a ∈ t), and_assoc] #align is_least_union_iff isLeast_union_iff theorem isGreatest_union_iff : IsGreatest (s ∪ t) a ↔ IsGreatest s a ∧ a ∈ upperBounds t ∨ a ∈ upperBounds s ∧ IsGreatest t a := @isLeast_union_iff αᵒᵈ _ a s t #align is_greatest_union_iff isGreatest_union_iff theorem BddAbove.inter_of_left (h : BddAbove s) : BddAbove (s ∩ t) := h.mono inter_subset_left #align bdd_above.inter_of_left BddAbove.inter_of_left theorem BddAbove.inter_of_right (h : BddAbove t) : BddAbove (s ∩ t) := h.mono inter_subset_right #align bdd_above.inter_of_right BddAbove.inter_of_right theorem BddBelow.inter_of_left (h : BddBelow s) : BddBelow (s ∩ t) := h.mono inter_subset_left #align bdd_below.inter_of_left BddBelow.inter_of_left theorem BddBelow.inter_of_right (h : BddBelow t) : BddBelow (s ∩ t) := h.mono inter_subset_right #align bdd_below.inter_of_right BddBelow.inter_of_right theorem BddAbove.union [IsDirected α (· ≤ ·)] {s t : Set α} : BddAbove s → BddAbove t → BddAbove (s ∪ t) := by rintro ⟨a, ha⟩ ⟨b, hb⟩ obtain ⟨c, hca, hcb⟩ := exists_ge_ge a b rw [BddAbove, upperBounds_union] exact ⟨c, upperBounds_mono_mem hca ha, upperBounds_mono_mem hcb hb⟩ #align bdd_above.union BddAbove.union theorem bddAbove_union [IsDirected α (· ≤ ·)] {s t : Set α} : BddAbove (s ∪ t) ↔ BddAbove s ∧ BddAbove t := ⟨fun h => ⟨h.mono subset_union_left, h.mono subset_union_right⟩, fun h => h.1.union h.2⟩ #align bdd_above_union bddAbove_union theorem BddBelow.union [IsDirected α (· ≥ ·)] {s t : Set α} : BddBelow s → BddBelow t → BddBelow (s ∪ t) := @BddAbove.union αᵒᵈ _ _ _ _ #align bdd_below.union BddBelow.union theorem bddBelow_union [IsDirected α (· ≥ ·)] {s t : Set α} : BddBelow (s ∪ t) ↔ BddBelow s ∧ BddBelow t := @bddAbove_union αᵒᵈ _ _ _ _ #align bdd_below_union bddBelow_union theorem IsLUB.union [SemilatticeSup γ] {a b : γ} {s t : Set γ} (hs : IsLUB s a) (ht : IsLUB t b) : IsLUB (s ∪ t) (a ⊔ b) := ⟨fun _ h => h.casesOn (fun h => le_sup_of_le_left <| hs.left h) fun h => le_sup_of_le_right <| ht.left h, fun _ hc => sup_le (hs.right fun _ hd => hc <| Or.inl hd) (ht.right fun _ hd => hc <| Or.inr hd)⟩ #align is_lub.union IsLUB.union theorem IsGLB.union [SemilatticeInf γ] {a₁ a₂ : γ} {s t : Set γ} (hs : IsGLB s a₁) (ht : IsGLB t a₂) : IsGLB (s ∪ t) (a₁ ⊓ a₂) := hs.dual.union ht #align is_glb.union IsGLB.union theorem IsLeast.union [LinearOrder γ] {a b : γ} {s t : Set γ} (ha : IsLeast s a) (hb : IsLeast t b) : IsLeast (s ∪ t) (min a b) := ⟨by rcases le_total a b with h | h <;> simp [h, ha.1, hb.1], (ha.isGLB.union hb.isGLB).1⟩ #align is_least.union IsLeast.union theorem IsGreatest.union [LinearOrder γ] {a b : γ} {s t : Set γ} (ha : IsGreatest s a) (hb : IsGreatest t b) : IsGreatest (s ∪ t) (max a b) := ⟨by rcases le_total a b with h | h <;> simp [h, ha.1, hb.1], (ha.isLUB.union hb.isLUB).1⟩ #align is_greatest.union IsGreatest.union theorem IsLUB.inter_Ici_of_mem [LinearOrder γ] {s : Set γ} {a b : γ} (ha : IsLUB s a) (hb : b ∈ s) : IsLUB (s ∩ Ici b) a := ⟨fun _ hx => ha.1 hx.1, fun c hc => have hbc : b ≤ c := hc ⟨hb, le_rfl⟩ ha.2 fun x hx => ((le_total x b).elim fun hxb => hxb.trans hbc) fun hbx => hc ⟨hx, hbx⟩⟩ #align is_lub.inter_Ici_of_mem IsLUB.inter_Ici_of_mem theorem IsGLB.inter_Iic_of_mem [LinearOrder γ] {s : Set γ} {a b : γ} (ha : IsGLB s a) (hb : b ∈ s) : IsGLB (s ∩ Iic b) a := ha.dual.inter_Ici_of_mem hb #align is_glb.inter_Iic_of_mem IsGLB.inter_Iic_of_mem theorem bddAbove_iff_exists_ge [SemilatticeSup γ] {s : Set γ} (x₀ : γ) : BddAbove s ↔ ∃ x, x₀ ≤ x ∧ ∀ y ∈ s, y ≤ x := by rw [bddAbove_def, exists_ge_and_iff_exists] exact Monotone.ball fun x _ => monotone_le #align bdd_above_iff_exists_ge bddAbove_iff_exists_ge theorem bddBelow_iff_exists_le [SemilatticeInf γ] {s : Set γ} (x₀ : γ) : BddBelow s ↔ ∃ x, x ≤ x₀ ∧ ∀ y ∈ s, x ≤ y := bddAbove_iff_exists_ge (toDual x₀) #align bdd_below_iff_exists_le bddBelow_iff_exists_le theorem BddAbove.exists_ge [SemilatticeSup γ] {s : Set γ} (hs : BddAbove s) (x₀ : γ) : ∃ x, x₀ ≤ x ∧ ∀ y ∈ s, y ≤ x := (bddAbove_iff_exists_ge x₀).mp hs #align bdd_above.exists_ge BddAbove.exists_ge theorem BddBelow.exists_le [SemilatticeInf γ] {s : Set γ} (hs : BddBelow s) (x₀ : γ) : ∃ x, x ≤ x₀ ∧ ∀ y ∈ s, x ≤ y := (bddBelow_iff_exists_le x₀).mp hs #align bdd_below.exists_le BddBelow.exists_le theorem isLeast_Ici : IsLeast (Ici a) a := ⟨left_mem_Ici, fun _ => id⟩ #align is_least_Ici isLeast_Ici theorem isGreatest_Iic : IsGreatest (Iic a) a := ⟨right_mem_Iic, fun _ => id⟩ #align is_greatest_Iic isGreatest_Iic theorem isLUB_Iic : IsLUB (Iic a) a := isGreatest_Iic.isLUB #align is_lub_Iic isLUB_Iic theorem isGLB_Ici : IsGLB (Ici a) a := isLeast_Ici.isGLB #align is_glb_Ici isGLB_Ici theorem upperBounds_Iic : upperBounds (Iic a) = Ici a := isLUB_Iic.upperBounds_eq #align upper_bounds_Iic upperBounds_Iic theorem lowerBounds_Ici : lowerBounds (Ici a) = Iic a := isGLB_Ici.lowerBounds_eq #align lower_bounds_Ici lowerBounds_Ici theorem bddAbove_Iic : BddAbove (Iic a) := isLUB_Iic.bddAbove #align bdd_above_Iic bddAbove_Iic theorem bddBelow_Ici : BddBelow (Ici a) := isGLB_Ici.bddBelow #align bdd_below_Ici bddBelow_Ici theorem bddAbove_Iio : BddAbove (Iio a) := ⟨a, fun _ hx => le_of_lt hx⟩ #align bdd_above_Iio bddAbove_Iio theorem bddBelow_Ioi : BddBelow (Ioi a) := ⟨a, fun _ hx => le_of_lt hx⟩ #align bdd_below_Ioi bddBelow_Ioi theorem lub_Iio_le (a : α) (hb : IsLUB (Iio a) b) : b ≤ a := (isLUB_le_iff hb).mpr fun _ hk => le_of_lt hk #align lub_Iio_le lub_Iio_le theorem le_glb_Ioi (a : α) (hb : IsGLB (Ioi a) b) : a ≤ b := @lub_Iio_le αᵒᵈ _ _ a hb #align le_glb_Ioi le_glb_Ioi theorem lub_Iio_eq_self_or_Iio_eq_Iic [PartialOrder γ] {j : γ} (i : γ) (hj : IsLUB (Iio i) j) : j = i ∨ Iio i = Iic j := by cases' eq_or_lt_of_le (lub_Iio_le i hj) with hj_eq_i hj_lt_i · exact Or.inl hj_eq_i · right exact Set.ext fun k => ⟨fun hk_lt => hj.1 hk_lt, fun hk_le_j => lt_of_le_of_lt hk_le_j hj_lt_i⟩ #align lub_Iio_eq_self_or_Iio_eq_Iic lub_Iio_eq_self_or_Iio_eq_Iic theorem glb_Ioi_eq_self_or_Ioi_eq_Ici [PartialOrder γ] {j : γ} (i : γ) (hj : IsGLB (Ioi i) j) : j = i ∨ Ioi i = Ici j := @lub_Iio_eq_self_or_Iio_eq_Iic γᵒᵈ _ j i hj #align glb_Ioi_eq_self_or_Ioi_eq_Ici glb_Ioi_eq_self_or_Ioi_eq_Ici section variable [LinearOrder γ] theorem exists_lub_Iio (i : γ) : ∃ j, IsLUB (Iio i) j := by by_cases h_exists_lt : ∃ j, j ∈ upperBounds (Iio i) ∧ j < i · obtain ⟨j, hj_ub, hj_lt_i⟩ := h_exists_lt exact ⟨j, hj_ub, fun k hk_ub => hk_ub hj_lt_i⟩ · refine ⟨i, fun j hj => le_of_lt hj, ?_⟩ rw [mem_lowerBounds] by_contra h refine h_exists_lt ?_ push_neg at h exact h #align exists_lub_Iio exists_lub_Iio theorem exists_glb_Ioi (i : γ) : ∃ j, IsGLB (Ioi i) j := @exists_lub_Iio γᵒᵈ _ i #align exists_glb_Ioi exists_glb_Ioi variable [DenselyOrdered γ] theorem isLUB_Iio {a : γ} : IsLUB (Iio a) a := ⟨fun _ hx => le_of_lt hx, fun _ hy => le_of_forall_ge_of_dense hy⟩ #align is_lub_Iio isLUB_Iio theorem isGLB_Ioi {a : γ} : IsGLB (Ioi a) a := @isLUB_Iio γᵒᵈ _ _ a #align is_glb_Ioi isGLB_Ioi theorem upperBounds_Iio {a : γ} : upperBounds (Iio a) = Ici a := isLUB_Iio.upperBounds_eq #align upper_bounds_Iio upperBounds_Iio theorem lowerBounds_Ioi {a : γ} : lowerBounds (Ioi a) = Iic a := isGLB_Ioi.lowerBounds_eq #align lower_bounds_Ioi lowerBounds_Ioi end theorem isGreatest_singleton : IsGreatest {a} a := ⟨mem_singleton a, fun _ hx => le_of_eq <| eq_of_mem_singleton hx⟩ #align is_greatest_singleton isGreatest_singleton theorem isLeast_singleton : IsLeast {a} a := @isGreatest_singleton αᵒᵈ _ a #align is_least_singleton isLeast_singleton theorem isLUB_singleton : IsLUB {a} a := isGreatest_singleton.isLUB #align is_lub_singleton isLUB_singleton theorem isGLB_singleton : IsGLB {a} a := isLeast_singleton.isGLB #align is_glb_singleton isGLB_singleton @[simp] lemma bddAbove_singleton : BddAbove ({a} : Set α) := isLUB_singleton.bddAbove #align bdd_above_singleton bddAbove_singleton @[simp] lemma bddBelow_singleton : BddBelow ({a} : Set α) := isGLB_singleton.bddBelow #align bdd_below_singleton bddBelow_singleton @[simp] theorem upperBounds_singleton : upperBounds {a} = Ici a := isLUB_singleton.upperBounds_eq #align upper_bounds_singleton upperBounds_singleton @[simp] theorem lowerBounds_singleton : lowerBounds {a} = Iic a := isGLB_singleton.lowerBounds_eq #align lower_bounds_singleton lowerBounds_singleton theorem bddAbove_Icc : BddAbove (Icc a b) := ⟨b, fun _ => And.right⟩ #align bdd_above_Icc bddAbove_Icc theorem bddBelow_Icc : BddBelow (Icc a b) := ⟨a, fun _ => And.left⟩ #align bdd_below_Icc bddBelow_Icc theorem bddAbove_Ico : BddAbove (Ico a b) := bddAbove_Icc.mono Ico_subset_Icc_self #align bdd_above_Ico bddAbove_Ico theorem bddBelow_Ico : BddBelow (Ico a b) := bddBelow_Icc.mono Ico_subset_Icc_self #align bdd_below_Ico bddBelow_Ico theorem bddAbove_Ioc : BddAbove (Ioc a b) := bddAbove_Icc.mono Ioc_subset_Icc_self #align bdd_above_Ioc bddAbove_Ioc theorem bddBelow_Ioc : BddBelow (Ioc a b) := bddBelow_Icc.mono Ioc_subset_Icc_self #align bdd_below_Ioc bddBelow_Ioc theorem bddAbove_Ioo : BddAbove (Ioo a b) := bddAbove_Icc.mono Ioo_subset_Icc_self #align bdd_above_Ioo bddAbove_Ioo theorem bddBelow_Ioo : BddBelow (Ioo a b) := bddBelow_Icc.mono Ioo_subset_Icc_self #align bdd_below_Ioo bddBelow_Ioo theorem isGreatest_Icc (h : a ≤ b) : IsGreatest (Icc a b) b := ⟨right_mem_Icc.2 h, fun _ => And.right⟩ #align is_greatest_Icc isGreatest_Icc theorem isLUB_Icc (h : a ≤ b) : IsLUB (Icc a b) b := (isGreatest_Icc h).isLUB #align is_lub_Icc isLUB_Icc theorem upperBounds_Icc (h : a ≤ b) : upperBounds (Icc a b) = Ici b := (isLUB_Icc h).upperBounds_eq #align upper_bounds_Icc upperBounds_Icc theorem isLeast_Icc (h : a ≤ b) : IsLeast (Icc a b) a := ⟨left_mem_Icc.2 h, fun _ => And.left⟩ #align is_least_Icc isLeast_Icc theorem isGLB_Icc (h : a ≤ b) : IsGLB (Icc a b) a := (isLeast_Icc h).isGLB #align is_glb_Icc isGLB_Icc theorem lowerBounds_Icc (h : a ≤ b) : lowerBounds (Icc a b) = Iic a := (isGLB_Icc h).lowerBounds_eq #align lower_bounds_Icc lowerBounds_Icc theorem isGreatest_Ioc (h : a < b) : IsGreatest (Ioc a b) b := ⟨right_mem_Ioc.2 h, fun _ => And.right⟩ #align is_greatest_Ioc isGreatest_Ioc theorem isLUB_Ioc (h : a < b) : IsLUB (Ioc a b) b := (isGreatest_Ioc h).isLUB #align is_lub_Ioc isLUB_Ioc theorem upperBounds_Ioc (h : a < b) : upperBounds (Ioc a b) = Ici b := (isLUB_Ioc h).upperBounds_eq #align upper_bounds_Ioc upperBounds_Ioc theorem isLeast_Ico (h : a < b) : IsLeast (Ico a b) a := ⟨left_mem_Ico.2 h, fun _ => And.left⟩ #align is_least_Ico isLeast_Ico theorem isGLB_Ico (h : a < b) : IsGLB (Ico a b) a := (isLeast_Ico h).isGLB #align is_glb_Ico isGLB_Ico theorem lowerBounds_Ico (h : a < b) : lowerBounds (Ico a b) = Iic a := (isGLB_Ico h).lowerBounds_eq #align lower_bounds_Ico lowerBounds_Ico section variable [SemilatticeSup γ] [DenselyOrdered γ] theorem isGLB_Ioo {a b : γ} (h : a < b) : IsGLB (Ioo a b) a := ⟨fun x hx => hx.1.le, fun x hx => by cases' eq_or_lt_of_le (le_sup_right : a ≤ x ⊔ a) with h₁ h₂ · exact h₁.symm ▸ le_sup_left obtain ⟨y, lty, ylt⟩ := exists_between h₂ apply (not_lt_of_le (sup_le (hx ⟨lty, ylt.trans_le (sup_le _ h.le)⟩) lty.le) ylt).elim obtain ⟨u, au, ub⟩ := exists_between h apply (hx ⟨au, ub⟩).trans ub.le⟩ #align is_glb_Ioo isGLB_Ioo theorem lowerBounds_Ioo {a b : γ} (hab : a < b) : lowerBounds (Ioo a b) = Iic a := (isGLB_Ioo hab).lowerBounds_eq #align lower_bounds_Ioo lowerBounds_Ioo theorem isGLB_Ioc {a b : γ} (hab : a < b) : IsGLB (Ioc a b) a := (isGLB_Ioo hab).of_subset_of_superset (isGLB_Icc hab.le) Ioo_subset_Ioc_self Ioc_subset_Icc_self #align is_glb_Ioc isGLB_Ioc theorem lowerBounds_Ioc {a b : γ} (hab : a < b) : lowerBounds (Ioc a b) = Iic a := (isGLB_Ioc hab).lowerBounds_eq #align lower_bound_Ioc lowerBounds_Ioc end section variable [SemilatticeInf γ] [DenselyOrdered γ] theorem isLUB_Ioo {a b : γ} (hab : a < b) : IsLUB (Ioo a b) b := by simpa only [dual_Ioo] using isGLB_Ioo hab.dual #align is_lub_Ioo isLUB_Ioo theorem upperBounds_Ioo {a b : γ} (hab : a < b) : upperBounds (Ioo a b) = Ici b := (isLUB_Ioo hab).upperBounds_eq #align upper_bounds_Ioo upperBounds_Ioo theorem isLUB_Ico {a b : γ} (hab : a < b) : IsLUB (Ico a b) b := by simpa only [dual_Ioc] using isGLB_Ioc hab.dual #align is_lub_Ico isLUB_Ico theorem upperBounds_Ico {a b : γ} (hab : a < b) : upperBounds (Ico a b) = Ici b := (isLUB_Ico hab).upperBounds_eq #align upper_bounds_Ico upperBounds_Ico end theorem bddBelow_iff_subset_Ici : BddBelow s ↔ ∃ a, s ⊆ Ici a := Iff.rfl #align bdd_below_iff_subset_Ici bddBelow_iff_subset_Ici theorem bddAbove_iff_subset_Iic : BddAbove s ↔ ∃ a, s ⊆ Iic a := Iff.rfl #align bdd_above_iff_subset_Iic bddAbove_iff_subset_Iic theorem bddBelow_bddAbove_iff_subset_Icc : BddBelow s ∧ BddAbove s ↔ ∃ a b, s ⊆ Icc a b := by simp [Ici_inter_Iic.symm, subset_inter_iff, bddBelow_iff_subset_Ici, bddAbove_iff_subset_Iic, exists_and_left, exists_and_right] #align bdd_below_bdd_above_iff_subset_Icc bddBelow_bddAbove_iff_subset_Icc @[simp] theorem isGreatest_univ_iff : IsGreatest univ a ↔ IsTop a := by simp [IsGreatest, mem_upperBounds, IsTop] #align is_greatest_univ_iff isGreatest_univ_iff theorem isGreatest_univ [OrderTop α] : IsGreatest (univ : Set α) ⊤ := isGreatest_univ_iff.2 isTop_top #align is_greatest_univ isGreatest_univ @[simp] theorem OrderTop.upperBounds_univ [PartialOrder γ] [OrderTop γ] : upperBounds (univ : Set γ) = {⊤} := by rw [isGreatest_univ.upperBounds_eq, Ici_top] #align order_top.upper_bounds_univ OrderTop.upperBounds_univ theorem isLUB_univ [OrderTop α] : IsLUB (univ : Set α) ⊤ := isGreatest_univ.isLUB #align is_lub_univ isLUB_univ @[simp] theorem OrderBot.lowerBounds_univ [PartialOrder γ] [OrderBot γ] : lowerBounds (univ : Set γ) = {⊥} := @OrderTop.upperBounds_univ γᵒᵈ _ _ #align order_bot.lower_bounds_univ OrderBot.lowerBounds_univ @[simp] theorem isLeast_univ_iff : IsLeast univ a ↔ IsBot a := @isGreatest_univ_iff αᵒᵈ _ _ #align is_least_univ_iff isLeast_univ_iff theorem isLeast_univ [OrderBot α] : IsLeast (univ : Set α) ⊥ := @isGreatest_univ αᵒᵈ _ _ #align is_least_univ isLeast_univ theorem isGLB_univ [OrderBot α] : IsGLB (univ : Set α) ⊥ := isLeast_univ.isGLB #align is_glb_univ isGLB_univ @[simp] theorem NoMaxOrder.upperBounds_univ [NoMaxOrder α] : upperBounds (univ : Set α) = ∅ := eq_empty_of_subset_empty fun b hb => let ⟨_, hx⟩ := exists_gt b not_le_of_lt hx (hb trivial) #align no_max_order.upper_bounds_univ NoMaxOrder.upperBounds_univ @[simp] theorem NoMinOrder.lowerBounds_univ [NoMinOrder α] : lowerBounds (univ : Set α) = ∅ := @NoMaxOrder.upperBounds_univ αᵒᵈ _ _ #align no_min_order.lower_bounds_univ NoMinOrder.lowerBounds_univ @[simp] theorem not_bddAbove_univ [NoMaxOrder α] : ¬BddAbove (univ : Set α) := by simp [BddAbove] #align not_bdd_above_univ not_bddAbove_univ @[simp] theorem not_bddBelow_univ [NoMinOrder α] : ¬BddBelow (univ : Set α) := @not_bddAbove_univ αᵒᵈ _ _ #align not_bdd_below_univ not_bddBelow_univ @[simp] theorem upperBounds_empty : upperBounds (∅ : Set α) = univ := by simp only [upperBounds, eq_univ_iff_forall, mem_setOf_eq, forall_mem_empty, forall_true_iff] #align upper_bounds_empty upperBounds_empty @[simp] theorem lowerBounds_empty : lowerBounds (∅ : Set α) = univ := @upperBounds_empty αᵒᵈ _ #align lower_bounds_empty lowerBounds_empty @[simp] theorem bddAbove_empty [Nonempty α] : BddAbove (∅ : Set α) := by simp only [BddAbove, upperBounds_empty, univ_nonempty] #align bdd_above_empty bddAbove_empty @[simp] theorem bddBelow_empty [Nonempty α] : BddBelow (∅ : Set α) := by simp only [BddBelow, lowerBounds_empty, univ_nonempty] #align bdd_below_empty bddBelow_empty @[simp] theorem isGLB_empty_iff : IsGLB ∅ a ↔ IsTop a := by simp [IsGLB] #align is_glb_empty_iff isGLB_empty_iff @[simp] theorem isLUB_empty_iff : IsLUB ∅ a ↔ IsBot a := @isGLB_empty_iff αᵒᵈ _ _ #align is_lub_empty_iff isLUB_empty_iff theorem isGLB_empty [OrderTop α] : IsGLB ∅ (⊤ : α) := isGLB_empty_iff.2 isTop_top #align is_glb_empty isGLB_empty theorem isLUB_empty [OrderBot α] : IsLUB ∅ (⊥ : α) := @isGLB_empty αᵒᵈ _ _ #align is_lub_empty isLUB_empty theorem IsLUB.nonempty [NoMinOrder α] (hs : IsLUB s a) : s.Nonempty := let ⟨a', ha'⟩ := exists_lt a nonempty_iff_ne_empty.2 fun h => not_le_of_lt ha' <| hs.right <| by rw [h, upperBounds_empty]; exact mem_univ _ #align is_lub.nonempty IsLUB.nonempty theorem IsGLB.nonempty [NoMaxOrder α] (hs : IsGLB s a) : s.Nonempty := hs.dual.nonempty #align is_glb.nonempty IsGLB.nonempty theorem nonempty_of_not_bddAbove [ha : Nonempty α] (h : ¬BddAbove s) : s.Nonempty := (Nonempty.elim ha) fun x => (not_bddAbove_iff'.1 h x).imp fun _ ha => ha.1 #align nonempty_of_not_bdd_above nonempty_of_not_bddAbove theorem nonempty_of_not_bddBelow [Nonempty α] (h : ¬BddBelow s) : s.Nonempty := @nonempty_of_not_bddAbove αᵒᵈ _ _ _ h #align nonempty_of_not_bdd_below nonempty_of_not_bddBelow @[simp] theorem bddAbove_insert [IsDirected α (· ≤ ·)] {s : Set α} {a : α} : BddAbove (insert a s) ↔ BddAbove s := by simp only [insert_eq, bddAbove_union, bddAbove_singleton, true_and_iff] #align bdd_above_insert bddAbove_insert protected theorem BddAbove.insert [IsDirected α (· ≤ ·)] {s : Set α} (a : α) : BddAbove s → BddAbove (insert a s) := bddAbove_insert.2 #align bdd_above.insert BddAbove.insert @[simp] theorem bddBelow_insert [IsDirected α (· ≥ ·)] {s : Set α} {a : α} : BddBelow (insert a s) ↔ BddBelow s := by simp only [insert_eq, bddBelow_union, bddBelow_singleton, true_and_iff] #align bdd_below_insert bddBelow_insert protected theorem BddBelow.insert [IsDirected α (· ≥ ·)] {s : Set α} (a : α) : BddBelow s → BddBelow (insert a s) := bddBelow_insert.2 #align bdd_below.insert BddBelow.insert protected theorem IsLUB.insert [SemilatticeSup γ] (a) {b} {s : Set γ} (hs : IsLUB s b) : IsLUB (insert a s) (a ⊔ b) := by rw [insert_eq] exact isLUB_singleton.union hs #align is_lub.insert IsLUB.insert protected theorem IsGLB.insert [SemilatticeInf γ] (a) {b} {s : Set γ} (hs : IsGLB s b) : IsGLB (insert a s) (a ⊓ b) := by rw [insert_eq] exact isGLB_singleton.union hs #align is_glb.insert IsGLB.insert protected theorem IsGreatest.insert [LinearOrder γ] (a) {b} {s : Set γ} (hs : IsGreatest s b) : IsGreatest (insert a s) (max a b) := by rw [insert_eq] exact isGreatest_singleton.union hs #align is_greatest.insert IsGreatest.insert protected theorem IsLeast.insert [LinearOrder γ] (a) {b} {s : Set γ} (hs : IsLeast s b) : IsLeast (insert a s) (min a b) := by rw [insert_eq] exact isLeast_singleton.union hs #align is_least.insert IsLeast.insert @[simp] theorem upperBounds_insert (a : α) (s : Set α) : upperBounds (insert a s) = Ici a ∩ upperBounds s := by rw [insert_eq, upperBounds_union, upperBounds_singleton] #align upper_bounds_insert upperBounds_insert @[simp] theorem lowerBounds_insert (a : α) (s : Set α) : lowerBounds (insert a s) = Iic a ∩ lowerBounds s := by rw [insert_eq, lowerBounds_union, lowerBounds_singleton] #align lower_bounds_insert lowerBounds_insert @[simp] protected theorem OrderTop.bddAbove [OrderTop α] (s : Set α) : BddAbove s := ⟨⊤, fun a _ => OrderTop.le_top a⟩ #align order_top.bdd_above OrderTop.bddAbove @[simp] protected theorem OrderBot.bddBelow [OrderBot α] (s : Set α) : BddBelow s := ⟨⊥, fun a _ => OrderBot.bot_le a⟩ #align order_bot.bdd_below OrderBot.bddBelow macro "bddDefault" : tactic => `(tactic| first | apply OrderTop.bddAbove | apply OrderBot.bddBelow) theorem isLUB_pair [SemilatticeSup γ] {a b : γ} : IsLUB {a, b} (a ⊔ b) := isLUB_singleton.insert _ #align is_lub_pair isLUB_pair theorem isGLB_pair [SemilatticeInf γ] {a b : γ} : IsGLB {a, b} (a ⊓ b) := isGLB_singleton.insert _ #align is_glb_pair isGLB_pair theorem isLeast_pair [LinearOrder γ] {a b : γ} : IsLeast {a, b} (min a b) := isLeast_singleton.insert _ #align is_least_pair isLeast_pair theorem isGreatest_pair [LinearOrder γ] {a b : γ} : IsGreatest {a, b} (max a b) := isGreatest_singleton.insert _ #align is_greatest_pair isGreatest_pair @[simp] theorem isLUB_lowerBounds : IsLUB (lowerBounds s) a ↔ IsGLB s a := ⟨fun H => ⟨fun _ hx => H.2 <| subset_upperBounds_lowerBounds s hx, H.1⟩, IsGreatest.isLUB⟩ #align is_lub_lower_bounds isLUB_lowerBounds @[simp] theorem isGLB_upperBounds : IsGLB (upperBounds s) a ↔ IsLUB s a := @isLUB_lowerBounds αᵒᵈ _ _ _ #align is_glb_upper_bounds isGLB_upperBounds end namespace Monotone variable [Preorder α] [Preorder β] {f : α → β} (Hf : Monotone f) {a : α} {s : Set α} theorem mem_upperBounds_image (Ha : a ∈ upperBounds s) : f a ∈ upperBounds (f '' s) := forall_mem_image.2 fun _ H => Hf (Ha H) #align monotone.mem_upper_bounds_image Monotone.mem_upperBounds_image theorem mem_lowerBounds_image (Ha : a ∈ lowerBounds s) : f a ∈ lowerBounds (f '' s) := forall_mem_image.2 fun _ H => Hf (Ha H) #align monotone.mem_lower_bounds_image Monotone.mem_lowerBounds_image theorem image_upperBounds_subset_upperBounds_image : f '' upperBounds s ⊆ upperBounds (f '' s) := by rintro _ ⟨a, ha, rfl⟩ exact Hf.mem_upperBounds_image ha #align monotone.image_upper_bounds_subset_upper_bounds_image Monotone.image_upperBounds_subset_upperBounds_image theorem image_lowerBounds_subset_lowerBounds_image : f '' lowerBounds s ⊆ lowerBounds (f '' s) := Hf.dual.image_upperBounds_subset_upperBounds_image #align monotone.image_lower_bounds_subset_lower_bounds_image Monotone.image_lowerBounds_subset_lowerBounds_image theorem map_bddAbove : BddAbove s → BddAbove (f '' s) | ⟨C, hC⟩ => ⟨f C, Hf.mem_upperBounds_image hC⟩ #align monotone.map_bdd_above Monotone.map_bddAbove theorem map_bddBelow : BddBelow s → BddBelow (f '' s) | ⟨C, hC⟩ => ⟨f C, Hf.mem_lowerBounds_image hC⟩ #align monotone.map_bdd_below Monotone.map_bddBelow theorem map_isLeast (Ha : IsLeast s a) : IsLeast (f '' s) (f a) := ⟨mem_image_of_mem _ Ha.1, Hf.mem_lowerBounds_image Ha.2⟩ #align monotone.map_is_least Monotone.map_isLeast theorem map_isGreatest (Ha : IsGreatest s a) : IsGreatest (f '' s) (f a) := ⟨mem_image_of_mem _ Ha.1, Hf.mem_upperBounds_image Ha.2⟩ #align monotone.map_is_greatest Monotone.map_isGreatest end Monotone namespace Antitone variable [Preorder α] [Preorder β] {f : α → β} (hf : Antitone f) {a : α} {s : Set α} theorem mem_upperBounds_image : a ∈ lowerBounds s → f a ∈ upperBounds (f '' s) := hf.dual_right.mem_lowerBounds_image #align antitone.mem_upper_bounds_image Antitone.mem_upperBounds_image theorem mem_lowerBounds_image : a ∈ upperBounds s → f a ∈ lowerBounds (f '' s) := hf.dual_right.mem_upperBounds_image #align antitone.mem_lower_bounds_image Antitone.mem_lowerBounds_image theorem image_lowerBounds_subset_upperBounds_image : f '' lowerBounds s ⊆ upperBounds (f '' s) := hf.dual_right.image_lowerBounds_subset_lowerBounds_image #align antitone.image_lower_bounds_subset_upper_bounds_image Antitone.image_lowerBounds_subset_upperBounds_image theorem image_upperBounds_subset_lowerBounds_image : f '' upperBounds s ⊆ lowerBounds (f '' s) := hf.dual_right.image_upperBounds_subset_upperBounds_image #align antitone.image_upper_bounds_subset_lower_bounds_image Antitone.image_upperBounds_subset_lowerBounds_image theorem map_bddAbove : BddAbove s → BddBelow (f '' s) := hf.dual_right.map_bddAbove #align antitone.map_bdd_above Antitone.map_bddAbove theorem map_bddBelow : BddBelow s → BddAbove (f '' s) := hf.dual_right.map_bddBelow #align antitone.map_bdd_below Antitone.map_bddBelow theorem map_isGreatest : IsGreatest s a → IsLeast (f '' s) (f a) := hf.dual_right.map_isGreatest #align antitone.map_is_greatest Antitone.map_isGreatest theorem map_isLeast : IsLeast s a → IsGreatest (f '' s) (f a) := hf.dual_right.map_isLeast #align antitone.map_is_least Antitone.map_isLeast end Antitone section Image2 variable [Preorder α] [Preorder β] [Preorder γ] {f : α → β → γ} {s : Set α} {t : Set β} {a : α} {b : β} section Image2 variable [Preorder α] [Preorder β] [Preorder γ] {f : α → β → γ} {s : Set α} {t : Set β} {a : α} {b : β} section MonotoneAntitone variable (h₀ : ∀ b, Monotone (swap f b)) (h₁ : ∀ a, Antitone (f a)) theorem mem_upperBounds_image2_of_mem_upperBounds_of_mem_lowerBounds (ha : a ∈ upperBounds s) (hb : b ∈ lowerBounds t) : f a b ∈ upperBounds (image2 f s t) := forall_image2_iff.2 fun _ hx _ hy => (h₀ _ <| ha hx).trans <| h₁ _ <| hb hy #align mem_upper_bounds_image2_of_mem_upper_bounds_of_mem_lower_bounds mem_upperBounds_image2_of_mem_upperBounds_of_mem_lowerBounds theorem mem_lowerBounds_image2_of_mem_lowerBounds_of_mem_upperBounds (ha : a ∈ lowerBounds s) (hb : b ∈ upperBounds t) : f a b ∈ lowerBounds (image2 f s t) := forall_image2_iff.2 fun _ hx _ hy => (h₀ _ <| ha hx).trans <| h₁ _ <| hb hy #align mem_lower_bounds_image2_of_mem_lower_bounds_of_mem_upper_bounds mem_lowerBounds_image2_of_mem_lowerBounds_of_mem_upperBounds theorem image2_upperBounds_lowerBounds_subset_upperBounds_image2 : image2 f (upperBounds s) (lowerBounds t) ⊆ upperBounds (image2 f s t) := image2_subset_iff.2 fun _ ha _ hb ↦ mem_upperBounds_image2_of_mem_upperBounds_of_mem_lowerBounds h₀ h₁ ha hb #align image2_upper_bounds_lower_bounds_subset_upper_bounds_image2 image2_upperBounds_lowerBounds_subset_upperBounds_image2 theorem image2_lowerBounds_upperBounds_subset_lowerBounds_image2 : image2 f (lowerBounds s) (upperBounds t) ⊆ lowerBounds (image2 f s t) := image2_subset_iff.2 fun _ ha _ hb ↦ mem_lowerBounds_image2_of_mem_lowerBounds_of_mem_upperBounds h₀ h₁ ha hb #align image2_lower_bounds_upper_bounds_subset_lower_bounds_image2 image2_lowerBounds_upperBounds_subset_lowerBounds_image2 theorem BddAbove.bddAbove_image2_of_bddBelow : BddAbove s → BddBelow t → BddAbove (Set.image2 f s t) := by rintro ⟨a, ha⟩ ⟨b, hb⟩ exact ⟨f a b, mem_upperBounds_image2_of_mem_upperBounds_of_mem_lowerBounds h₀ h₁ ha hb⟩ #align bdd_above.bdd_above_image2_of_bdd_below BddAbove.bddAbove_image2_of_bddBelow
Mathlib/Order/Bounds/Basic.lean
1,453
1,456
theorem BddBelow.bddBelow_image2_of_bddAbove : BddBelow s → BddAbove t → BddBelow (Set.image2 f s t) := by
rintro ⟨a, ha⟩ ⟨b, hb⟩ exact ⟨f a b, mem_lowerBounds_image2_of_mem_lowerBounds_of_mem_upperBounds h₀ h₁ ha hb⟩
import Mathlib.Analysis.Normed.Field.Basic #align_import topology.metric_space.cau_seq_filter from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Set Filter open scoped Classical open Topology variable {β : Type v} theorem CauSeq.tendsto_limit [NormedRing β] [hn : IsAbsoluteValue (norm : β → ℝ)] (f : CauSeq β norm) [CauSeq.IsComplete β norm] : Tendsto f atTop (𝓝 f.lim) := tendsto_nhds.mpr (by intro s os lfs suffices ∃ a : ℕ, ∀ b : ℕ, b ≥ a → f b ∈ s by simpa using this rcases Metric.isOpen_iff.1 os _ lfs with ⟨ε, ⟨hε, hεs⟩⟩ cases' Setoid.symm (CauSeq.equiv_lim f) _ hε with N hN exists N intro b hb apply hεs dsimp [Metric.ball] rw [dist_comm, dist_eq_norm] solve_by_elim) #align cau_seq.tendsto_limit CauSeq.tendsto_limit variable [NormedField β] open Metric theorem CauchySeq.isCauSeq {f : ℕ → β} (hf : CauchySeq f) : IsCauSeq norm f := by cases' cauchy_iff.1 hf with hf1 hf2 intro ε hε rcases hf2 { x | dist x.1 x.2 < ε } (dist_mem_uniformity hε) with ⟨t, ⟨ht, htsub⟩⟩ simp only [mem_map, mem_atTop_sets, ge_iff_le, mem_preimage] at ht; cases' ht with N hN exists N intro j hj rw [← dist_eq_norm] apply @htsub (f j, f N) apply Set.mk_mem_prod <;> solve_by_elim [le_refl] #align cauchy_seq.is_cau_seq CauchySeq.isCauSeq
Mathlib/Topology/MetricSpace/CauSeqFilter.lean
67
82
theorem CauSeq.cauchySeq (f : CauSeq β norm) : CauchySeq f := by
refine cauchy_iff.2 ⟨by infer_instance, fun s hs => ?_⟩ rcases mem_uniformity_dist.1 hs with ⟨ε, ⟨hε, hεs⟩⟩ cases' CauSeq.cauchy₂ f hε with N hN exists { n | n ≥ N }.image f simp only [exists_prop, mem_atTop_sets, mem_map, mem_image, ge_iff_le, mem_setOf_eq] constructor · exists N intro b hb exists b · rintro ⟨a, b⟩ ⟨⟨a', ⟨ha'1, ha'2⟩⟩, ⟨b', ⟨hb'1, hb'2⟩⟩⟩ dsimp at ha'1 ha'2 hb'1 hb'2 rw [← ha'2, ← hb'2] apply hεs rw [dist_eq_norm] apply hN <;> assumption