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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] 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] #align geom_sum_succ geom_sum_succ theorem geom_sum_succ' {x : α} {n : ℕ} : ∑ i ∈ range (n + 1), x ^ i = x ^ n + ∑ i ∈ range n, x ^ i := (sum_range_succ _ _).trans (add_comm _ _) #align geom_sum_succ' geom_sum_succ' theorem geom_sum_zero (x : α) : ∑ i ∈ range 0, x ^ i = 0 := rfl #align geom_sum_zero geom_sum_zero theorem geom_sum_one (x : α) : ∑ i ∈ range 1, x ^ i = 1 := by simp [geom_sum_succ'] #align geom_sum_one geom_sum_one @[simp] theorem geom_sum_two {x : α} : ∑ i ∈ range 2, x ^ i = x + 1 := by simp [geom_sum_succ'] #align geom_sum_two geom_sum_two @[simp] theorem zero_geom_sum : ∀ {n}, ∑ i ∈ range n, (0 : α) ^ i = if n = 0 then 0 else 1 | 0 => by simp | 1 => by simp | n + 2 => by rw [geom_sum_succ'] simp [zero_geom_sum] #align zero_geom_sum zero_geom_sum theorem one_geom_sum (n : ℕ) : ∑ i ∈ range n, (1 : α) ^ i = n := by simp #align one_geom_sum one_geom_sum -- porting note (#10618): simp can prove this -- @[simp] theorem op_geom_sum (x : α) (n : ℕ) : op (∑ i ∈ range n, x ^ i) = ∑ i ∈ range n, op x ^ i := by simp #align op_geom_sum op_geom_sum -- Porting note: linter suggested to change left hand side @[simp]
Mathlib/Algebra/GeomSum.lean
87
94
theorem op_geom_sum₂ (x y : α) (n : ℕ) : ∑ i ∈ range n, op y ^ (n - 1 - i) * op x ^ i = ∑ i ∈ range n, op y ^ i * op x ^ (n - 1 - i) := by
rw [← sum_range_reflect] refine sum_congr rfl fun j j_in => ?_ rw [mem_range, Nat.lt_iff_add_one_le] at j_in congr apply tsub_tsub_cancel_of_le exact le_tsub_of_add_le_right j_in
import Mathlib.Topology.Connected.Basic open Set Topology universe u v variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α] {s t u v : Set α} section LocallyConnectedSpace class LocallyConnectedSpace (α : Type*) [TopologicalSpace α] : Prop where open_connected_basis : ∀ x, (𝓝 x).HasBasis (fun s : Set α => IsOpen s ∧ x ∈ s ∧ IsConnected s) id #align locally_connected_space LocallyConnectedSpace theorem locallyConnectedSpace_iff_open_connected_basis : LocallyConnectedSpace α ↔ ∀ x, (𝓝 x).HasBasis (fun s : Set α => IsOpen s ∧ x ∈ s ∧ IsConnected s) id := ⟨@LocallyConnectedSpace.open_connected_basis _ _, LocallyConnectedSpace.mk⟩ #align locally_connected_space_iff_open_connected_basis locallyConnectedSpace_iff_open_connected_basis
Mathlib/Topology/Connected/LocallyConnected.lean
41
52
theorem locallyConnectedSpace_iff_open_connected_subsets : LocallyConnectedSpace α ↔ ∀ x, ∀ U ∈ 𝓝 x, ∃ V : Set α, V ⊆ U ∧ IsOpen V ∧ x ∈ V ∧ IsConnected V := by
simp_rw [locallyConnectedSpace_iff_open_connected_basis] refine forall_congr' fun _ => ?_ constructor · intro h U hU rcases h.mem_iff.mp hU with ⟨V, hV, hVU⟩ exact ⟨V, hVU, hV⟩ · exact fun h => ⟨fun U => ⟨fun hU => let ⟨V, hVU, hV⟩ := h U hU ⟨V, hV, hVU⟩, fun ⟨V, ⟨hV, hxV, _⟩, hVU⟩ => mem_nhds_iff.mpr ⟨V, hVU, hV, hxV⟩⟩⟩
import Mathlib.Probability.Kernel.Basic import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Integral.DominatedConvergence #align_import probability.kernel.measurable_integral from "leanprover-community/mathlib"@"28b2a92f2996d28e580450863c130955de0ed398" open MeasureTheory ProbabilityTheory Function Set Filter open scoped MeasureTheory ENNReal Topology variable {α β γ : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ} {κ : kernel α β} {η : kernel (α × β) γ} {a : α} namespace ProbabilityTheory namespace kernel theorem measurable_kernel_prod_mk_left_of_finite {t : Set (α × β)} (ht : MeasurableSet t) (hκs : ∀ a, IsFiniteMeasure (κ a)) : Measurable fun a => κ a (Prod.mk a ⁻¹' t) := by -- `t` is a measurable set in the product `α × β`: we use that the product σ-algebra is generated -- by boxes to prove the result by induction. -- Porting note: added motive refine MeasurableSpace.induction_on_inter (C := fun t => Measurable fun a => κ a (Prod.mk a ⁻¹' t)) generateFrom_prod.symm isPiSystem_prod ?_ ?_ ?_ ?_ ht ·-- case `t = ∅` simp only [preimage_empty, measure_empty, measurable_const] · -- case of a box: `t = t₁ ×ˢ t₂` for measurable sets `t₁` and `t₂` intro t' ht' simp only [Set.mem_image2, Set.mem_setOf_eq, exists_and_left] at ht' obtain ⟨t₁, ht₁, t₂, ht₂, rfl⟩ := ht' classical simp_rw [mk_preimage_prod_right_eq_if] have h_eq_ite : (fun a => κ a (ite (a ∈ t₁) t₂ ∅)) = fun a => ite (a ∈ t₁) (κ a t₂) 0 := by ext1 a split_ifs exacts [rfl, measure_empty] rw [h_eq_ite] exact Measurable.ite ht₁ (kernel.measurable_coe κ ht₂) measurable_const · -- we assume that the result is true for `t` and we prove it for `tᶜ` intro t' ht' h_meas have h_eq_sdiff : ∀ a, Prod.mk a ⁻¹' t'ᶜ = Set.univ \ Prod.mk a ⁻¹' t' := by intro a ext1 b simp only [mem_compl_iff, mem_preimage, mem_diff, mem_univ, true_and_iff] simp_rw [h_eq_sdiff] have : (fun a => κ a (Set.univ \ Prod.mk a ⁻¹' t')) = fun a => κ a Set.univ - κ a (Prod.mk a ⁻¹' t') := by ext1 a rw [← Set.diff_inter_self_eq_diff, Set.inter_univ, measure_diff (Set.subset_univ _)] · exact (@measurable_prod_mk_left α β _ _ a) ht' · exact measure_ne_top _ _ rw [this] exact Measurable.sub (kernel.measurable_coe κ MeasurableSet.univ) h_meas · -- we assume that the result is true for a family of disjoint sets and prove it for their union intro f h_disj hf_meas hf have h_Union : (fun a => κ a (Prod.mk a ⁻¹' ⋃ i, f i)) = fun a => κ a (⋃ i, Prod.mk a ⁻¹' f i) := by ext1 a congr with b simp only [mem_iUnion, mem_preimage] rw [h_Union] have h_tsum : (fun a => κ a (⋃ i, Prod.mk a ⁻¹' f i)) = fun a => ∑' i, κ a (Prod.mk a ⁻¹' f i) := by ext1 a rw [measure_iUnion] · intro i j hij s hsi hsj b hbs have habi : {(a, b)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hbs have habj : {(a, b)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hbs simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff, Set.mem_empty_iff_false] using h_disj hij habi habj · exact fun i => (@measurable_prod_mk_left α β _ _ a) (hf_meas i) rw [h_tsum] exact Measurable.ennreal_tsum hf #align probability_theory.kernel.measurable_kernel_prod_mk_left_of_finite ProbabilityTheory.kernel.measurable_kernel_prod_mk_left_of_finite theorem measurable_kernel_prod_mk_left [IsSFiniteKernel κ] {t : Set (α × β)} (ht : MeasurableSet t) : Measurable fun a => κ a (Prod.mk a ⁻¹' t) := by rw [← kernel.kernel_sum_seq κ] have : ∀ a, kernel.sum (kernel.seq κ) a (Prod.mk a ⁻¹' t) = ∑' n, kernel.seq κ n a (Prod.mk a ⁻¹' t) := fun a => kernel.sum_apply' _ _ (measurable_prod_mk_left ht) simp_rw [this] refine Measurable.ennreal_tsum fun n => ?_ exact measurable_kernel_prod_mk_left_of_finite ht inferInstance #align probability_theory.kernel.measurable_kernel_prod_mk_left ProbabilityTheory.kernel.measurable_kernel_prod_mk_left
Mathlib/Probability/Kernel/MeasurableIntegral.lean
113
119
theorem measurable_kernel_prod_mk_left' [IsSFiniteKernel η] {s : Set (β × γ)} (hs : MeasurableSet s) (a : α) : Measurable fun b => η (a, b) (Prod.mk b ⁻¹' s) := by
have : ∀ b, Prod.mk b ⁻¹' s = {c | ((a, b), c) ∈ {p : (α × β) × γ | (p.1.2, p.2) ∈ s}} := by intro b; rfl simp_rw [this] refine (measurable_kernel_prod_mk_left ?_).comp measurable_prod_mk_left exact (measurable_fst.snd.prod_mk measurable_snd) hs
import Mathlib.MeasureTheory.PiSystem import Mathlib.Order.OmegaCompletePartialOrder import Mathlib.Topology.Constructions import Mathlib.MeasureTheory.MeasurableSpace.Basic open Set namespace MeasureTheory variable {ι : Type _} {α : ι → Type _} section squareCylinders def squareCylinders (C : ∀ i, Set (Set (α i))) : Set (Set (∀ i, α i)) := {S | ∃ s : Finset ι, ∃ t ∈ univ.pi C, S = (s : Set ι).pi t} theorem squareCylinders_eq_iUnion_image (C : ∀ i, Set (Set (α i))) : squareCylinders C = ⋃ s : Finset ι, (fun t ↦ (s : Set ι).pi t) '' univ.pi C := by ext1 f simp only [squareCylinders, mem_iUnion, mem_image, mem_univ_pi, exists_prop, mem_setOf_eq, eq_comm (a := f)] theorem isPiSystem_squareCylinders {C : ∀ i, Set (Set (α i))} (hC : ∀ i, IsPiSystem (C i)) (hC_univ : ∀ i, univ ∈ C i) : IsPiSystem (squareCylinders C) := by rintro S₁ ⟨s₁, t₁, h₁, rfl⟩ S₂ ⟨s₂, t₂, h₂, rfl⟩ hst_nonempty classical let t₁' := s₁.piecewise t₁ (fun i ↦ univ) let t₂' := s₂.piecewise t₂ (fun i ↦ univ) have h1 : ∀ i ∈ (s₁ : Set ι), t₁ i = t₁' i := fun i hi ↦ (Finset.piecewise_eq_of_mem _ _ _ hi).symm have h1' : ∀ i ∉ (s₁ : Set ι), t₁' i = univ := fun i hi ↦ Finset.piecewise_eq_of_not_mem _ _ _ hi have h2 : ∀ i ∈ (s₂ : Set ι), t₂ i = t₂' i := fun i hi ↦ (Finset.piecewise_eq_of_mem _ _ _ hi).symm have h2' : ∀ i ∉ (s₂ : Set ι), t₂' i = univ := fun i hi ↦ Finset.piecewise_eq_of_not_mem _ _ _ hi rw [Set.pi_congr rfl h1, Set.pi_congr rfl h2, ← union_pi_inter h1' h2'] refine ⟨s₁ ∪ s₂, fun i ↦ t₁' i ∩ t₂' i, ?_, ?_⟩ · rw [mem_univ_pi] intro i have : (t₁' i ∩ t₂' i).Nonempty := by obtain ⟨f, hf⟩ := hst_nonempty rw [Set.pi_congr rfl h1, Set.pi_congr rfl h2, mem_inter_iff, mem_pi, mem_pi] at hf refine ⟨f i, ⟨?_, ?_⟩⟩ · by_cases hi₁ : i ∈ s₁ · exact hf.1 i hi₁ · rw [h1' i hi₁] exact mem_univ _ · by_cases hi₂ : i ∈ s₂ · exact hf.2 i hi₂ · rw [h2' i hi₂] exact mem_univ _ refine hC i _ ?_ _ ?_ this · by_cases hi₁ : i ∈ s₁ · rw [← h1 i hi₁] exact h₁ i (mem_univ _) · rw [h1' i hi₁] exact hC_univ i · by_cases hi₂ : i ∈ s₂ · rw [← h2 i hi₂] exact h₂ i (mem_univ _) · rw [h2' i hi₂] exact hC_univ i · rw [Finset.coe_union]
Mathlib/MeasureTheory/Constructions/Cylinders.lean
107
126
theorem comap_eval_le_generateFrom_squareCylinders_singleton (α : ι → Type*) [m : ∀ i, MeasurableSpace (α i)] (i : ι) : MeasurableSpace.comap (Function.eval i) (m i) ≤ MeasurableSpace.generateFrom ((fun t ↦ ({i} : Set ι).pi t) '' univ.pi fun i ↦ {s : Set (α i) | MeasurableSet s}) := by
simp only [Function.eval, singleton_pi, ge_iff_le] rw [MeasurableSpace.comap_eq_generateFrom] refine MeasurableSpace.generateFrom_mono fun S ↦ ?_ simp only [mem_setOf_eq, mem_image, mem_univ_pi, forall_exists_index, and_imp] intro t ht h classical refine ⟨fun j ↦ if hji : j = i then by convert t else univ, fun j ↦ ?_, ?_⟩ · by_cases hji : j = i · simp only [hji, eq_self_iff_true, eq_mpr_eq_cast, dif_pos] convert ht simp only [id_eq, cast_heq] · simp only [hji, not_false_iff, dif_neg, MeasurableSet.univ] · simp only [id_eq, eq_mpr_eq_cast, ← h] ext1 x simp only [singleton_pi, Function.eval, cast_eq, dite_eq_ite, ite_true, mem_preimage]
import Mathlib.AlgebraicTopology.DoldKan.Projections import Mathlib.CategoryTheory.Idempotents.FunctorCategories import Mathlib.CategoryTheory.Idempotents.FunctorExtension #align_import algebraic_topology.dold_kan.p_infty from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.SimplicialObject CategoryTheory.Idempotents Opposite Simplicial DoldKan namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X : SimplicialObject C} theorem P_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((P (q + 1)).f n : X _[n] ⟶ _) = (P q).f n := by rcases n with (_|n) · simp only [Nat.zero_eq, P_f_0_eq] · simp only [P_succ, add_right_eq_self, comp_add, HomologicalComplex.comp_f, HomologicalComplex.add_f_apply, comp_id] exact (HigherFacesVanish.of_P q n).comp_Hσ_eq_zero (Nat.succ_le_iff.mp hqn) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_is_eventually_constant AlgebraicTopology.DoldKan.P_is_eventually_constant theorem Q_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((Q (q + 1)).f n : X _[n] ⟶ _) = (Q q).f n := by simp only [Q, HomologicalComplex.sub_f_apply, P_is_eventually_constant hqn] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_is_eventually_constant AlgebraicTopology.DoldKan.Q_is_eventually_constant noncomputable def PInfty : K[X] ⟶ K[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => ((P n).f n : X _[n] ⟶ _)) fun n => by simpa only [← P_is_eventually_constant (show n ≤ n by rfl), AlternatingFaceMapComplex.obj_d_eq] using (P (n + 1) : K[X] ⟶ _).comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty AlgebraicTopology.DoldKan.PInfty noncomputable def QInfty : K[X] ⟶ K[X] := 𝟙 _ - PInfty set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty AlgebraicTopology.DoldKan.QInfty @[simp] theorem PInfty_f_0 : (PInfty.f 0 : X _[0] ⟶ X _[0]) = 𝟙 _ := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_0 AlgebraicTopology.DoldKan.PInfty_f_0 theorem PInfty_f (n : ℕ) : (PInfty.f n : X _[n] ⟶ X _[n]) = (P n).f n := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f AlgebraicTopology.DoldKan.PInfty_f @[simp] theorem QInfty_f_0 : (QInfty.f 0 : X _[0] ⟶ X _[0]) = 0 := by dsimp [QInfty] simp only [sub_self] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_0 AlgebraicTopology.DoldKan.QInfty_f_0 theorem QInfty_f (n : ℕ) : (QInfty.f n : X _[n] ⟶ X _[n]) = (Q n).f n := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f AlgebraicTopology.DoldKan.QInfty_f @[reassoc (attr := simp)] theorem PInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ PInfty.f n = PInfty.f n ≫ f.app (op [n]) := P_f_naturality n n f set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_naturality AlgebraicTopology.DoldKan.PInfty_f_naturality @[reassoc (attr := simp)] theorem QInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ QInfty.f n = QInfty.f n ≫ f.app (op [n]) := Q_f_naturality n n f set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_naturality AlgebraicTopology.DoldKan.QInfty_f_naturality @[reassoc (attr := simp)] theorem PInfty_f_idem (n : ℕ) : (PInfty.f n : X _[n] ⟶ _) ≫ PInfty.f n = PInfty.f n := by simp only [PInfty_f, P_f_idem] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_idem AlgebraicTopology.DoldKan.PInfty_f_idem @[reassoc (attr := simp)] theorem PInfty_idem : (PInfty : K[X] ⟶ _) ≫ PInfty = PInfty := by ext n exact PInfty_f_idem n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_idem AlgebraicTopology.DoldKan.PInfty_idem @[reassoc (attr := simp)] theorem QInfty_f_idem (n : ℕ) : (QInfty.f n : X _[n] ⟶ _) ≫ QInfty.f n = QInfty.f n := Q_f_idem _ _ set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_idem AlgebraicTopology.DoldKan.QInfty_f_idem @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/PInfty.lean
123
125
theorem QInfty_idem : (QInfty : K[X] ⟶ _) ≫ QInfty = QInfty := by
ext n exact QInfty_f_idem n
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.add from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L : Filter 𝕜} section Sum variable {ι : Type*} {u : Finset ι} {A : ι → 𝕜 → F} {A' : ι → F} theorem HasDerivAtFilter.sum (h : ∀ i ∈ u, HasDerivAtFilter (A i) (A' i) x L) : HasDerivAtFilter (fun y => ∑ i ∈ u, A i y) (∑ i ∈ u, A' i) x L := by simpa [ContinuousLinearMap.sum_apply] using (HasFDerivAtFilter.sum h).hasDerivAtFilter #align has_deriv_at_filter.sum HasDerivAtFilter.sum
Mathlib/Analysis/Calculus/Deriv/Add.lean
158
160
theorem HasStrictDerivAt.sum (h : ∀ i ∈ u, HasStrictDerivAt (A i) (A' i) x) : HasStrictDerivAt (fun y => ∑ i ∈ u, A i y) (∑ i ∈ u, A' i) x := by
simpa [ContinuousLinearMap.sum_apply] using (HasStrictFDerivAt.sum h).hasStrictDerivAt
import Mathlib.Logic.Equiv.Fin import Mathlib.Topology.DenseEmbedding import Mathlib.Topology.Support import Mathlib.Topology.Connected.LocallyConnected #align_import topology.homeomorph from "leanprover-community/mathlib"@"4c3e1721c58ef9087bbc2c8c38b540f70eda2e53" open Set Filter open Topology variable {X : Type*} {Y : Type*} {Z : Type*} -- not all spaces are homeomorphic to each other structure Homeomorph (X : Type*) (Y : Type*) [TopologicalSpace X] [TopologicalSpace Y] extends X ≃ Y where continuous_toFun : Continuous toFun := by continuity continuous_invFun : Continuous invFun := by continuity #align homeomorph Homeomorph @[inherit_doc] infixl:25 " ≃ₜ " => Homeomorph namespace Homeomorph variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] {X' Y' : Type*} [TopologicalSpace X'] [TopologicalSpace Y'] theorem toEquiv_injective : Function.Injective (toEquiv : X ≃ₜ Y → X ≃ Y) | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl #align homeomorph.to_equiv_injective Homeomorph.toEquiv_injective instance : EquivLike (X ≃ₜ Y) X Y where coe := fun h => h.toEquiv inv := fun h => h.toEquiv.symm left_inv := fun h => h.left_inv right_inv := fun h => h.right_inv coe_injective' := fun _ _ H _ => toEquiv_injective <| DFunLike.ext' H instance : CoeFun (X ≃ₜ Y) fun _ ↦ X → Y := ⟨DFunLike.coe⟩ @[simp] theorem homeomorph_mk_coe (a : X ≃ Y) (b c) : (Homeomorph.mk a b c : X → Y) = a := rfl #align homeomorph.homeomorph_mk_coe Homeomorph.homeomorph_mk_coe protected def empty [IsEmpty X] [IsEmpty Y] : X ≃ₜ Y where __ := Equiv.equivOfIsEmpty X Y @[symm] protected def symm (h : X ≃ₜ Y) : Y ≃ₜ X where continuous_toFun := h.continuous_invFun continuous_invFun := h.continuous_toFun toEquiv := h.toEquiv.symm #align homeomorph.symm Homeomorph.symm @[simp] theorem symm_symm (h : X ≃ₜ Y) : h.symm.symm = h := rfl #align homeomorph.symm_symm Homeomorph.symm_symm theorem symm_bijective : Function.Bijective (Homeomorph.symm : (X ≃ₜ Y) → Y ≃ₜ X) := Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩ def Simps.symm_apply (h : X ≃ₜ Y) : Y → X := h.symm #align homeomorph.simps.symm_apply Homeomorph.Simps.symm_apply initialize_simps_projections Homeomorph (toFun → apply, invFun → symm_apply) @[simp] theorem coe_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv = h := rfl #align homeomorph.coe_to_equiv Homeomorph.coe_toEquiv @[simp] theorem coe_symm_toEquiv (h : X ≃ₜ Y) : ⇑h.toEquiv.symm = h.symm := rfl #align homeomorph.coe_symm_to_equiv Homeomorph.coe_symm_toEquiv @[ext] theorem ext {h h' : X ≃ₜ Y} (H : ∀ x, h x = h' x) : h = h' := DFunLike.ext _ _ H #align homeomorph.ext Homeomorph.ext @[simps! (config := .asFn) apply] protected def refl (X : Type*) [TopologicalSpace X] : X ≃ₜ X where continuous_toFun := continuous_id continuous_invFun := continuous_id toEquiv := Equiv.refl X #align homeomorph.refl Homeomorph.refl @[trans] protected def trans (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) : X ≃ₜ Z where continuous_toFun := h₂.continuous_toFun.comp h₁.continuous_toFun continuous_invFun := h₁.continuous_invFun.comp h₂.continuous_invFun toEquiv := Equiv.trans h₁.toEquiv h₂.toEquiv #align homeomorph.trans Homeomorph.trans @[simp] theorem trans_apply (h₁ : X ≃ₜ Y) (h₂ : Y ≃ₜ Z) (x : X) : h₁.trans h₂ x = h₂ (h₁ x) := rfl #align homeomorph.trans_apply Homeomorph.trans_apply @[simp] theorem symm_trans_apply (f : X ≃ₜ Y) (g : Y ≃ₜ Z) (z : Z) : (f.trans g).symm z = f.symm (g.symm z) := rfl @[simp] theorem homeomorph_mk_coe_symm (a : X ≃ Y) (b c) : ((Homeomorph.mk a b c).symm : Y → X) = a.symm := rfl #align homeomorph.homeomorph_mk_coe_symm Homeomorph.homeomorph_mk_coe_symm @[simp] theorem refl_symm : (Homeomorph.refl X).symm = Homeomorph.refl X := rfl #align homeomorph.refl_symm Homeomorph.refl_symm @[continuity] protected theorem continuous (h : X ≃ₜ Y) : Continuous h := h.continuous_toFun #align homeomorph.continuous Homeomorph.continuous -- otherwise `by continuity` can't prove continuity of `h.to_equiv.symm` @[continuity] protected theorem continuous_symm (h : X ≃ₜ Y) : Continuous h.symm := h.continuous_invFun #align homeomorph.continuous_symm Homeomorph.continuous_symm @[simp] theorem apply_symm_apply (h : X ≃ₜ Y) (y : Y) : h (h.symm y) = y := h.toEquiv.apply_symm_apply y #align homeomorph.apply_symm_apply Homeomorph.apply_symm_apply @[simp] theorem symm_apply_apply (h : X ≃ₜ Y) (x : X) : h.symm (h x) = x := h.toEquiv.symm_apply_apply x #align homeomorph.symm_apply_apply Homeomorph.symm_apply_apply @[simp] theorem self_trans_symm (h : X ≃ₜ Y) : h.trans h.symm = Homeomorph.refl X := by ext apply symm_apply_apply #align homeomorph.self_trans_symm Homeomorph.self_trans_symm @[simp] theorem symm_trans_self (h : X ≃ₜ Y) : h.symm.trans h = Homeomorph.refl Y := by ext apply apply_symm_apply #align homeomorph.symm_trans_self Homeomorph.symm_trans_self protected theorem bijective (h : X ≃ₜ Y) : Function.Bijective h := h.toEquiv.bijective #align homeomorph.bijective Homeomorph.bijective protected theorem injective (h : X ≃ₜ Y) : Function.Injective h := h.toEquiv.injective #align homeomorph.injective Homeomorph.injective protected theorem surjective (h : X ≃ₜ Y) : Function.Surjective h := h.toEquiv.surjective #align homeomorph.surjective Homeomorph.surjective def changeInv (f : X ≃ₜ Y) (g : Y → X) (hg : Function.RightInverse g f) : X ≃ₜ Y := haveI : g = f.symm := (f.left_inv.eq_rightInverse hg).symm { toFun := f invFun := g left_inv := by convert f.left_inv right_inv := by convert f.right_inv using 1 continuous_toFun := f.continuous continuous_invFun := by convert f.symm.continuous } #align homeomorph.change_inv Homeomorph.changeInv @[simp] theorem symm_comp_self (h : X ≃ₜ Y) : h.symm ∘ h = id := funext h.symm_apply_apply #align homeomorph.symm_comp_self Homeomorph.symm_comp_self @[simp] theorem self_comp_symm (h : X ≃ₜ Y) : h ∘ h.symm = id := funext h.apply_symm_apply #align homeomorph.self_comp_symm Homeomorph.self_comp_symm @[simp] theorem range_coe (h : X ≃ₜ Y) : range h = univ := h.surjective.range_eq #align homeomorph.range_coe Homeomorph.range_coe theorem image_symm (h : X ≃ₜ Y) : image h.symm = preimage h := funext h.symm.toEquiv.image_eq_preimage #align homeomorph.image_symm Homeomorph.image_symm theorem preimage_symm (h : X ≃ₜ Y) : preimage h.symm = image h := (funext h.toEquiv.image_eq_preimage).symm #align homeomorph.preimage_symm Homeomorph.preimage_symm @[simp] theorem image_preimage (h : X ≃ₜ Y) (s : Set Y) : h '' (h ⁻¹' s) = s := h.toEquiv.image_preimage s #align homeomorph.image_preimage Homeomorph.image_preimage @[simp] theorem preimage_image (h : X ≃ₜ Y) (s : Set X) : h ⁻¹' (h '' s) = s := h.toEquiv.preimage_image s #align homeomorph.preimage_image Homeomorph.preimage_image lemma image_compl (h : X ≃ₜ Y) (s : Set X) : h '' (sᶜ) = (h '' s)ᶜ := h.toEquiv.image_compl s protected theorem inducing (h : X ≃ₜ Y) : Inducing h := inducing_of_inducing_compose h.continuous h.symm.continuous <| by simp only [symm_comp_self, inducing_id] #align homeomorph.inducing Homeomorph.inducing theorem induced_eq (h : X ≃ₜ Y) : TopologicalSpace.induced h ‹_› = ‹_› := h.inducing.1.symm #align homeomorph.induced_eq Homeomorph.induced_eq protected theorem quotientMap (h : X ≃ₜ Y) : QuotientMap h := QuotientMap.of_quotientMap_compose h.symm.continuous h.continuous <| by simp only [self_comp_symm, QuotientMap.id] #align homeomorph.quotient_map Homeomorph.quotientMap theorem coinduced_eq (h : X ≃ₜ Y) : TopologicalSpace.coinduced h ‹_› = ‹_› := h.quotientMap.2.symm #align homeomorph.coinduced_eq Homeomorph.coinduced_eq protected theorem embedding (h : X ≃ₜ Y) : Embedding h := ⟨h.inducing, h.injective⟩ #align homeomorph.embedding Homeomorph.embedding noncomputable def ofEmbedding (f : X → Y) (hf : Embedding f) : X ≃ₜ Set.range f where continuous_toFun := hf.continuous.subtype_mk _ continuous_invFun := hf.continuous_iff.2 <| by simp [continuous_subtype_val] toEquiv := Equiv.ofInjective f hf.inj #align homeomorph.of_embedding Homeomorph.ofEmbedding protected theorem secondCountableTopology [SecondCountableTopology Y] (h : X ≃ₜ Y) : SecondCountableTopology X := h.inducing.secondCountableTopology #align homeomorph.second_countable_topology Homeomorph.secondCountableTopology @[simp] theorem isCompact_image {s : Set X} (h : X ≃ₜ Y) : IsCompact (h '' s) ↔ IsCompact s := h.embedding.isCompact_iff.symm #align homeomorph.is_compact_image Homeomorph.isCompact_image @[simp] theorem isCompact_preimage {s : Set Y} (h : X ≃ₜ Y) : IsCompact (h ⁻¹' s) ↔ IsCompact s := by rw [← image_symm]; exact h.symm.isCompact_image #align homeomorph.is_compact_preimage Homeomorph.isCompact_preimage @[simp] theorem isSigmaCompact_image {s : Set X} (h : X ≃ₜ Y) : IsSigmaCompact (h '' s) ↔ IsSigmaCompact s := h.embedding.isSigmaCompact_iff.symm @[simp] theorem isSigmaCompact_preimage {s : Set Y} (h : X ≃ₜ Y) : IsSigmaCompact (h ⁻¹' s) ↔ IsSigmaCompact s := by rw [← image_symm]; exact h.symm.isSigmaCompact_image @[simp] theorem isPreconnected_image {s : Set X} (h : X ≃ₜ Y) : IsPreconnected (h '' s) ↔ IsPreconnected s := ⟨fun hs ↦ by simpa only [image_symm, preimage_image] using hs.image _ h.symm.continuous.continuousOn, fun hs ↦ hs.image _ h.continuous.continuousOn⟩ @[simp]
Mathlib/Topology/Homeomorph.lean
307
309
theorem isPreconnected_preimage {s : Set Y} (h : X ≃ₜ Y) : IsPreconnected (h ⁻¹' s) ↔ IsPreconnected s := by
rw [← image_symm, isPreconnected_image]
import Mathlib.Data.Bool.Basic import Mathlib.Data.Option.Defs import Mathlib.Data.Prod.Basic import Mathlib.Data.Sigma.Basic import Mathlib.Data.Subtype import Mathlib.Data.Sum.Basic import Mathlib.Init.Data.Sigma.Basic import Mathlib.Logic.Equiv.Defs import Mathlib.Logic.Function.Conjugate import Mathlib.Tactic.Lift import Mathlib.Tactic.Convert import Mathlib.Tactic.Contrapose import Mathlib.Tactic.GeneralizeProofs import Mathlib.Tactic.SimpRw #align_import logic.equiv.basic from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d" set_option autoImplicit true universe u open Function namespace Equiv @[simps apply symm_apply] def pprodEquivProd : PProd α β ≃ α × β where toFun x := (x.1, x.2) invFun x := ⟨x.1, x.2⟩ left_inv := fun _ => rfl right_inv := fun _ => rfl #align equiv.pprod_equiv_prod Equiv.pprodEquivProd #align equiv.pprod_equiv_prod_apply Equiv.pprodEquivProd_apply #align equiv.pprod_equiv_prod_symm_apply Equiv.pprodEquivProd_symm_apply -- Porting note: in Lean 3 this had `@[congr]` @[simps apply] def pprodCongr (e₁ : α ≃ β) (e₂ : γ ≃ δ) : PProd α γ ≃ PProd β δ where toFun x := ⟨e₁ x.1, e₂ x.2⟩ invFun x := ⟨e₁.symm x.1, e₂.symm x.2⟩ left_inv := fun ⟨x, y⟩ => by simp right_inv := fun ⟨x, y⟩ => by simp #align equiv.pprod_congr Equiv.pprodCongr #align equiv.pprod_congr_apply Equiv.pprodCongr_apply @[simps! apply symm_apply] def pprodProd (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : PProd α₁ β₁ ≃ α₂ × β₂ := (ea.pprodCongr eb).trans pprodEquivProd #align equiv.pprod_prod Equiv.pprodProd #align equiv.pprod_prod_apply Equiv.pprodProd_apply #align equiv.pprod_prod_symm_apply Equiv.pprodProd_symm_apply @[simps! apply symm_apply] def prodPProd (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : α₁ × β₁ ≃ PProd α₂ β₂ := (ea.symm.pprodProd eb.symm).symm #align equiv.prod_pprod Equiv.prodPProd #align equiv.prod_pprod_symm_apply Equiv.prodPProd_symm_apply #align equiv.prod_pprod_apply Equiv.prodPProd_apply @[simps! apply symm_apply] def pprodEquivProdPLift : PProd α β ≃ PLift α × PLift β := Equiv.plift.symm.pprodProd Equiv.plift.symm #align equiv.pprod_equiv_prod_plift Equiv.pprodEquivProdPLift #align equiv.pprod_equiv_prod_plift_symm_apply Equiv.pprodEquivProdPLift_symm_apply #align equiv.pprod_equiv_prod_plift_apply Equiv.pprodEquivProdPLift_apply -- Porting note: in Lean 3 there was also a @[congr] tag @[simps (config := .asFn) apply] def prodCongr (e₁ : α₁ ≃ α₂) (e₂ : β₁ ≃ β₂) : α₁ × β₁ ≃ α₂ × β₂ := ⟨Prod.map e₁ e₂, Prod.map e₁.symm e₂.symm, fun ⟨a, b⟩ => by simp, fun ⟨a, b⟩ => by simp⟩ #align equiv.prod_congr Equiv.prodCongr #align equiv.prod_congr_apply Equiv.prodCongr_apply @[simp] theorem prodCongr_symm (e₁ : α₁ ≃ α₂) (e₂ : β₁ ≃ β₂) : (prodCongr e₁ e₂).symm = prodCongr e₁.symm e₂.symm := rfl #align equiv.prod_congr_symm Equiv.prodCongr_symm def prodComm (α β) : α × β ≃ β × α := ⟨Prod.swap, Prod.swap, Prod.swap_swap, Prod.swap_swap⟩ #align equiv.prod_comm Equiv.prodComm @[simp] theorem coe_prodComm (α β) : (⇑(prodComm α β) : α × β → β × α) = Prod.swap := rfl #align equiv.coe_prod_comm Equiv.coe_prodComm @[simp] theorem prodComm_apply (x : α × β) : prodComm α β x = x.swap := rfl #align equiv.prod_comm_apply Equiv.prodComm_apply @[simp] theorem prodComm_symm (α β) : (prodComm α β).symm = prodComm β α := rfl #align equiv.prod_comm_symm Equiv.prodComm_symm @[simps] def prodAssoc (α β γ) : (α × β) × γ ≃ α × β × γ := ⟨fun p => (p.1.1, p.1.2, p.2), fun p => ((p.1, p.2.1), p.2.2), fun ⟨⟨_, _⟩, _⟩ => rfl, fun ⟨_, ⟨_, _⟩⟩ => rfl⟩ #align equiv.prod_assoc Equiv.prodAssoc #align equiv.prod_assoc_symm_apply Equiv.prodAssoc_symm_apply #align equiv.prod_assoc_apply Equiv.prodAssoc_apply @[simps apply] def prodProdProdComm (α β γ δ : Type*) : (α × β) × γ × δ ≃ (α × γ) × β × δ where toFun abcd := ((abcd.1.1, abcd.2.1), (abcd.1.2, abcd.2.2)) invFun acbd := ((acbd.1.1, acbd.2.1), (acbd.1.2, acbd.2.2)) left_inv := fun ⟨⟨_a, _b⟩, ⟨_c, _d⟩⟩ => rfl right_inv := fun ⟨⟨_a, _c⟩, ⟨_b, _d⟩⟩ => rfl #align equiv.prod_prod_prod_comm Equiv.prodProdProdComm @[simp] theorem prodProdProdComm_symm (α β γ δ : Type*) : (prodProdProdComm α β γ δ).symm = prodProdProdComm α γ β δ := rfl #align equiv.prod_prod_prod_comm_symm Equiv.prodProdProdComm_symm @[simps (config := .asFn)] def curry (α β γ) : (α × β → γ) ≃ (α → β → γ) where toFun := Function.curry invFun := uncurry left_inv := uncurry_curry right_inv := curry_uncurry #align equiv.curry Equiv.curry #align equiv.curry_symm_apply Equiv.curry_symm_apply #align equiv.curry_apply Equiv.curry_apply section @[simps] def prodPUnit (α) : α × PUnit ≃ α := ⟨fun p => p.1, fun a => (a, PUnit.unit), fun ⟨_, PUnit.unit⟩ => rfl, fun _ => rfl⟩ #align equiv.prod_punit Equiv.prodPUnit #align equiv.prod_punit_apply Equiv.prodPUnit_apply #align equiv.prod_punit_symm_apply Equiv.prodPUnit_symm_apply @[simps!] def punitProd (α) : PUnit × α ≃ α := calc PUnit × α ≃ α × PUnit := prodComm _ _ _ ≃ α := prodPUnit _ #align equiv.punit_prod Equiv.punitProd #align equiv.punit_prod_symm_apply Equiv.punitProd_symm_apply #align equiv.punit_prod_apply Equiv.punitProd_apply @[simps] def sigmaPUnit (α) : (_ : α) × PUnit ≃ α := ⟨fun p => p.1, fun a => ⟨a, PUnit.unit⟩, fun ⟨_, PUnit.unit⟩ => rfl, fun _ => rfl⟩ def prodUnique (α β) [Unique β] : α × β ≃ α := ((Equiv.refl α).prodCongr <| equivPUnit.{_,1} β).trans <| prodPUnit α #align equiv.prod_unique Equiv.prodUnique @[simp] theorem coe_prodUnique [Unique β] : (⇑(prodUnique α β) : α × β → α) = Prod.fst := rfl #align equiv.coe_prod_unique Equiv.coe_prodUnique theorem prodUnique_apply [Unique β] (x : α × β) : prodUnique α β x = x.1 := rfl #align equiv.prod_unique_apply Equiv.prodUnique_apply @[simp] theorem prodUnique_symm_apply [Unique β] (x : α) : (prodUnique α β).symm x = (x, default) := rfl #align equiv.prod_unique_symm_apply Equiv.prodUnique_symm_apply def uniqueProd (α β) [Unique β] : β × α ≃ α := ((equivPUnit.{_,1} β).prodCongr <| Equiv.refl α).trans <| punitProd α #align equiv.unique_prod Equiv.uniqueProd @[simp] theorem coe_uniqueProd [Unique β] : (⇑(uniqueProd α β) : β × α → α) = Prod.snd := rfl #align equiv.coe_unique_prod Equiv.coe_uniqueProd theorem uniqueProd_apply [Unique β] (x : β × α) : uniqueProd α β x = x.2 := rfl #align equiv.unique_prod_apply Equiv.uniqueProd_apply @[simp] theorem uniqueProd_symm_apply [Unique β] (x : α) : (uniqueProd α β).symm x = (default, x) := rfl #align equiv.unique_prod_symm_apply Equiv.uniqueProd_symm_apply def sigmaUnique (α) (β : α → Type*) [∀ a, Unique (β a)] : (a : α) × (β a) ≃ α := (Equiv.sigmaCongrRight fun a ↦ equivPUnit.{_,1} (β a)).trans <| sigmaPUnit α @[simp] theorem coe_sigmaUnique {β : α → Type*} [∀ a, Unique (β a)] : (⇑(sigmaUnique α β) : (a : α) × (β a) → α) = Sigma.fst := rfl theorem sigmaUnique_apply {β : α → Type*} [∀ a, Unique (β a)] (x : (a : α) × β a) : sigmaUnique α β x = x.1 := rfl @[simp] theorem sigmaUnique_symm_apply {β : α → Type*} [∀ a, Unique (β a)] (x : α) : (sigmaUnique α β).symm x = ⟨x, default⟩ := rfl def prodEmpty (α) : α × Empty ≃ Empty := equivEmpty _ #align equiv.prod_empty Equiv.prodEmpty def emptyProd (α) : Empty × α ≃ Empty := equivEmpty _ #align equiv.empty_prod Equiv.emptyProd def prodPEmpty (α) : α × PEmpty ≃ PEmpty := equivPEmpty _ #align equiv.prod_pempty Equiv.prodPEmpty def pemptyProd (α) : PEmpty × α ≃ PEmpty := equivPEmpty _ #align equiv.pempty_prod Equiv.pemptyProd end section open Sum def psumEquivSum (α β) : PSum α β ≃ Sum α β where toFun s := PSum.casesOn s inl inr invFun := Sum.elim PSum.inl PSum.inr left_inv s := by cases s <;> rfl right_inv s := by cases s <;> rfl #align equiv.psum_equiv_sum Equiv.psumEquivSum @[simps apply] def sumCongr (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : Sum α₁ β₁ ≃ Sum α₂ β₂ := ⟨Sum.map ea eb, Sum.map ea.symm eb.symm, fun x => by simp, fun x => by simp⟩ #align equiv.sum_congr Equiv.sumCongr #align equiv.sum_congr_apply Equiv.sumCongr_apply def psumCongr (e₁ : α ≃ β) (e₂ : γ ≃ δ) : PSum α γ ≃ PSum β δ where toFun x := PSum.casesOn x (PSum.inl ∘ e₁) (PSum.inr ∘ e₂) invFun x := PSum.casesOn x (PSum.inl ∘ e₁.symm) (PSum.inr ∘ e₂.symm) left_inv := by rintro (x | x) <;> simp right_inv := by rintro (x | x) <;> simp #align equiv.psum_congr Equiv.psumCongr def psumSum (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : PSum α₁ β₁ ≃ Sum α₂ β₂ := (ea.psumCongr eb).trans (psumEquivSum _ _) #align equiv.psum_sum Equiv.psumSum def sumPSum (ea : α₁ ≃ α₂) (eb : β₁ ≃ β₂) : Sum α₁ β₁ ≃ PSum α₂ β₂ := (ea.symm.psumSum eb.symm).symm #align equiv.sum_psum Equiv.sumPSum @[simp] theorem sumCongr_trans (e : α₁ ≃ β₁) (f : α₂ ≃ β₂) (g : β₁ ≃ γ₁) (h : β₂ ≃ γ₂) : (Equiv.sumCongr e f).trans (Equiv.sumCongr g h) = Equiv.sumCongr (e.trans g) (f.trans h) := by ext i cases i <;> rfl #align equiv.sum_congr_trans Equiv.sumCongr_trans @[simp] theorem sumCongr_symm (e : α ≃ β) (f : γ ≃ δ) : (Equiv.sumCongr e f).symm = Equiv.sumCongr e.symm f.symm := rfl #align equiv.sum_congr_symm Equiv.sumCongr_symm @[simp] theorem sumCongr_refl : Equiv.sumCongr (Equiv.refl α) (Equiv.refl β) = Equiv.refl (Sum α β) := by ext i cases i <;> rfl #align equiv.sum_congr_refl Equiv.sumCongr_refl def subtypeSum {p : α ⊕ β → Prop} : {c // p c} ≃ {a // p (Sum.inl a)} ⊕ {b // p (Sum.inr b)} where toFun c := match h : c.1 with | Sum.inl a => Sum.inl ⟨a, h ▸ c.2⟩ | Sum.inr b => Sum.inr ⟨b, h ▸ c.2⟩ invFun c := match c with | Sum.inl a => ⟨Sum.inl a, a.2⟩ | Sum.inr b => ⟨Sum.inr b, b.2⟩ left_inv := by rintro ⟨a | b, h⟩ <;> rfl right_inv := by rintro (a | b) <;> rfl def boolEquivPUnitSumPUnit : Bool ≃ Sum PUnit.{u + 1} PUnit.{v + 1} := ⟨fun b => b.casesOn (inl PUnit.unit) (inr PUnit.unit) , Sum.elim (fun _ => false) fun _ => true, fun b => by cases b <;> rfl, fun s => by rcases s with (⟨⟨⟩⟩ | ⟨⟨⟩⟩) <;> rfl⟩ #align equiv.bool_equiv_punit_sum_punit Equiv.boolEquivPUnitSumPUnit @[simps (config := .asFn) apply] def sumComm (α β) : Sum α β ≃ Sum β α := ⟨Sum.swap, Sum.swap, Sum.swap_swap, Sum.swap_swap⟩ #align equiv.sum_comm Equiv.sumComm #align equiv.sum_comm_apply Equiv.sumComm_apply @[simp] theorem sumComm_symm (α β) : (sumComm α β).symm = sumComm β α := rfl #align equiv.sum_comm_symm Equiv.sumComm_symm def sumAssoc (α β γ) : Sum (Sum α β) γ ≃ Sum α (Sum β γ) := ⟨Sum.elim (Sum.elim Sum.inl (Sum.inr ∘ Sum.inl)) (Sum.inr ∘ Sum.inr), Sum.elim (Sum.inl ∘ Sum.inl) <| Sum.elim (Sum.inl ∘ Sum.inr) Sum.inr, by rintro (⟨_ | _⟩ | _) <;> rfl, by rintro (_ | ⟨_ | _⟩) <;> rfl⟩ #align equiv.sum_assoc Equiv.sumAssoc @[simp] theorem sumAssoc_apply_inl_inl (a) : sumAssoc α β γ (inl (inl a)) = inl a := rfl #align equiv.sum_assoc_apply_inl_inl Equiv.sumAssoc_apply_inl_inl @[simp] theorem sumAssoc_apply_inl_inr (b) : sumAssoc α β γ (inl (inr b)) = inr (inl b) := rfl #align equiv.sum_assoc_apply_inl_inr Equiv.sumAssoc_apply_inl_inr @[simp] theorem sumAssoc_apply_inr (c) : sumAssoc α β γ (inr c) = inr (inr c) := rfl #align equiv.sum_assoc_apply_inr Equiv.sumAssoc_apply_inr @[simp] theorem sumAssoc_symm_apply_inl {α β γ} (a) : (sumAssoc α β γ).symm (inl a) = inl (inl a) := rfl #align equiv.sum_assoc_symm_apply_inl Equiv.sumAssoc_symm_apply_inl @[simp] theorem sumAssoc_symm_apply_inr_inl {α β γ} (b) : (sumAssoc α β γ).symm (inr (inl b)) = inl (inr b) := rfl #align equiv.sum_assoc_symm_apply_inr_inl Equiv.sumAssoc_symm_apply_inr_inl @[simp] theorem sumAssoc_symm_apply_inr_inr {α β γ} (c) : (sumAssoc α β γ).symm (inr (inr c)) = inr c := rfl #align equiv.sum_assoc_symm_apply_inr_inr Equiv.sumAssoc_symm_apply_inr_inr @[simps symm_apply] def sumEmpty (α β) [IsEmpty β] : Sum α β ≃ α where toFun := Sum.elim id isEmptyElim invFun := inl left_inv s := by rcases s with (_ | x) · rfl · exact isEmptyElim x right_inv _ := rfl #align equiv.sum_empty Equiv.sumEmpty #align equiv.sum_empty_symm_apply Equiv.sumEmpty_symm_apply @[simp] theorem sumEmpty_apply_inl [IsEmpty β] (a : α) : sumEmpty α β (Sum.inl a) = a := rfl #align equiv.sum_empty_apply_inl Equiv.sumEmpty_apply_inl @[simps! symm_apply] def emptySum (α β) [IsEmpty α] : Sum α β ≃ β := (sumComm _ _).trans <| sumEmpty _ _ #align equiv.empty_sum Equiv.emptySum #align equiv.empty_sum_symm_apply Equiv.emptySum_symm_apply @[simp] theorem emptySum_apply_inr [IsEmpty α] (b : β) : emptySum α β (Sum.inr b) = b := rfl #align equiv.empty_sum_apply_inr Equiv.emptySum_apply_inr def optionEquivSumPUnit (α) : Option α ≃ Sum α PUnit := ⟨fun o => o.elim (inr PUnit.unit) inl, fun s => s.elim some fun _ => none, fun o => by cases o <;> rfl, fun s => by rcases s with (_ | ⟨⟨⟩⟩) <;> rfl⟩ #align equiv.option_equiv_sum_punit Equiv.optionEquivSumPUnit @[simp] theorem optionEquivSumPUnit_none : optionEquivSumPUnit α none = Sum.inr PUnit.unit := rfl #align equiv.option_equiv_sum_punit_none Equiv.optionEquivSumPUnit_none @[simp] theorem optionEquivSumPUnit_some (a) : optionEquivSumPUnit α (some a) = Sum.inl a := rfl #align equiv.option_equiv_sum_punit_some Equiv.optionEquivSumPUnit_some @[simp] theorem optionEquivSumPUnit_coe (a : α) : optionEquivSumPUnit α a = Sum.inl a := rfl #align equiv.option_equiv_sum_punit_coe Equiv.optionEquivSumPUnit_coe @[simp] theorem optionEquivSumPUnit_symm_inl (a) : (optionEquivSumPUnit α).symm (Sum.inl a) = a := rfl #align equiv.option_equiv_sum_punit_symm_inl Equiv.optionEquivSumPUnit_symm_inl @[simp] theorem optionEquivSumPUnit_symm_inr (a) : (optionEquivSumPUnit α).symm (Sum.inr a) = none := rfl #align equiv.option_equiv_sum_punit_symm_inr Equiv.optionEquivSumPUnit_symm_inr @[simps] def optionIsSomeEquiv (α) : { x : Option α // x.isSome } ≃ α where toFun o := Option.get _ o.2 invFun x := ⟨some x, rfl⟩ left_inv _ := Subtype.eq <| Option.some_get _ right_inv _ := Option.get_some _ _ #align equiv.option_is_some_equiv Equiv.optionIsSomeEquiv #align equiv.option_is_some_equiv_apply Equiv.optionIsSomeEquiv_apply #align equiv.option_is_some_equiv_symm_apply_coe Equiv.optionIsSomeEquiv_symm_apply_coe @[simps] def piOptionEquivProd {β : Option α → Type*} : (∀ a : Option α, β a) ≃ β none × ∀ a : α, β (some a) where toFun f := (f none, fun a => f (some a)) invFun x a := Option.casesOn a x.fst x.snd left_inv f := funext fun a => by cases a <;> rfl right_inv x := by simp #align equiv.pi_option_equiv_prod Equiv.piOptionEquivProd #align equiv.pi_option_equiv_prod_symm_apply Equiv.piOptionEquivProd_symm_apply #align equiv.pi_option_equiv_prod_apply Equiv.piOptionEquivProd_apply def sumEquivSigmaBool (α β : Type u) : Sum α β ≃ Σ b : Bool, b.casesOn α β := ⟨fun s => s.elim (fun x => ⟨false, x⟩) fun x => ⟨true, x⟩, fun s => match s with | ⟨false, a⟩ => inl a | ⟨true, b⟩ => inr b, fun s => by cases s <;> rfl, fun s => by rcases s with ⟨_ | _, _⟩ <;> rfl⟩ #align equiv.sum_equiv_sigma_bool Equiv.sumEquivSigmaBool -- See also `Equiv.sigmaPreimageEquiv`. @[simps] def sigmaFiberEquiv {α β : Type*} (f : α → β) : (Σ y : β, { x // f x = y }) ≃ α := ⟨fun x => ↑x.2, fun x => ⟨f x, x, rfl⟩, fun ⟨_, _, rfl⟩ => rfl, fun _ => rfl⟩ #align equiv.sigma_fiber_equiv Equiv.sigmaFiberEquiv #align equiv.sigma_fiber_equiv_apply Equiv.sigmaFiberEquiv_apply #align equiv.sigma_fiber_equiv_symm_apply_fst Equiv.sigmaFiberEquiv_symm_apply_fst #align equiv.sigma_fiber_equiv_symm_apply_snd_coe Equiv.sigmaFiberEquiv_symm_apply_snd_coe def sigmaEquivOptionOfInhabited (α : Type u) [Inhabited α] [DecidableEq α] : Σ β : Type u, α ≃ Option β where fst := {a // a ≠ default} snd.toFun a := if h : a = default then none else some ⟨a, h⟩ snd.invFun := Option.elim' default (↑) snd.left_inv a := by dsimp only; split_ifs <;> simp [*] snd.right_inv | none => by simp | some ⟨a, ha⟩ => dif_neg ha #align equiv.sigma_equiv_option_of_inhabited Equiv.sigmaEquivOptionOfInhabited end section def piCongrRight {β₁ β₂ : α → Sort*} (F : ∀ a, β₁ a ≃ β₂ a) : (∀ a, β₁ a) ≃ (∀ a, β₂ a) := ⟨fun H a => F a (H a), fun H a => (F a).symm (H a), fun H => funext <| by simp, fun H => funext <| by simp⟩ #align equiv.Pi_congr_right Equiv.piCongrRight @[simps apply] def piComm (φ : α → β → Sort*) : (∀ a b, φ a b) ≃ ∀ b a, φ a b := ⟨swap, swap, fun _ => rfl, fun _ => rfl⟩ #align equiv.Pi_comm Equiv.piComm #align equiv.Pi_comm_apply Equiv.piComm_apply @[simp] theorem piComm_symm {φ : α → β → Sort*} : (piComm φ).symm = (piComm <| swap φ) := rfl #align equiv.Pi_comm_symm Equiv.piComm_symm def piCurry {β : α → Type*} (γ : ∀ a, β a → Type*) : (∀ x : Σ i, β i, γ x.1 x.2) ≃ ∀ a b, γ a b where toFun := Sigma.curry invFun := Sigma.uncurry left_inv := Sigma.uncurry_curry right_inv := Sigma.curry_uncurry #align equiv.Pi_curry Equiv.piCurry -- `simps` overapplies these but `simps (config := .asFn)` under-applies them @[simp] theorem piCurry_apply {β : α → Type*} (γ : ∀ a, β a → Type*) (f : ∀ x : Σ i, β i, γ x.1 x.2) : piCurry γ f = Sigma.curry f := rfl @[simp] theorem piCurry_symm_apply {β : α → Type*} (γ : ∀ a, β a → Type*) (f : ∀ a b, γ a b) : (piCurry γ).symm f = Sigma.uncurry f := rfl end section prodCongr variable (e : α₁ → β₁ ≃ β₂) def prodCongrLeft : β₁ × α₁ ≃ β₂ × α₁ where toFun ab := ⟨e ab.2 ab.1, ab.2⟩ invFun ab := ⟨(e ab.2).symm ab.1, ab.2⟩ left_inv := by rintro ⟨a, b⟩ simp right_inv := by rintro ⟨a, b⟩ simp #align equiv.prod_congr_left Equiv.prodCongrLeft @[simp] theorem prodCongrLeft_apply (b : β₁) (a : α₁) : prodCongrLeft e (b, a) = (e a b, a) := rfl #align equiv.prod_congr_left_apply Equiv.prodCongrLeft_apply theorem prodCongr_refl_right (e : β₁ ≃ β₂) : prodCongr e (Equiv.refl α₁) = prodCongrLeft fun _ => e := by ext ⟨a, b⟩ : 1 simp #align equiv.prod_congr_refl_right Equiv.prodCongr_refl_right def prodCongrRight : α₁ × β₁ ≃ α₁ × β₂ where toFun ab := ⟨ab.1, e ab.1 ab.2⟩ invFun ab := ⟨ab.1, (e ab.1).symm ab.2⟩ left_inv := by rintro ⟨a, b⟩ simp right_inv := by rintro ⟨a, b⟩ simp #align equiv.prod_congr_right Equiv.prodCongrRight @[simp] theorem prodCongrRight_apply (a : α₁) (b : β₁) : prodCongrRight e (a, b) = (a, e a b) := rfl #align equiv.prod_congr_right_apply Equiv.prodCongrRight_apply theorem prodCongr_refl_left (e : β₁ ≃ β₂) : prodCongr (Equiv.refl α₁) e = prodCongrRight fun _ => e := by ext ⟨a, b⟩ : 1 simp #align equiv.prod_congr_refl_left Equiv.prodCongr_refl_left @[simp]
Mathlib/Logic/Equiv/Basic.lean
820
823
theorem prodCongrLeft_trans_prodComm : (prodCongrLeft e).trans (prodComm _ _) = (prodComm _ _).trans (prodCongrRight e) := by
ext ⟨a, b⟩ : 1 simp
import Mathlib.Algebra.Group.Support import Mathlib.Order.WellFoundedSet #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical noncomputable section @[ext] structure HahnSeries (Γ : Type*) (R : Type*) [PartialOrder Γ] [Zero R] where coeff : Γ → R isPWO_support' : (Function.support coeff).IsPWO #align hahn_series HahnSeries variable {Γ : Type*} {R : Type*} namespace HahnSeries section Zero variable [PartialOrder Γ] [Zero R] theorem coeff_injective : Injective (coeff : HahnSeries Γ R → Γ → R) := HahnSeries.ext #align hahn_series.coeff_injective HahnSeries.coeff_injective @[simp] theorem coeff_inj {x y : HahnSeries Γ R} : x.coeff = y.coeff ↔ x = y := coeff_injective.eq_iff #align hahn_series.coeff_inj HahnSeries.coeff_inj nonrec def support (x : HahnSeries Γ R) : Set Γ := support x.coeff #align hahn_series.support HahnSeries.support @[simp] theorem isPWO_support (x : HahnSeries Γ R) : x.support.IsPWO := x.isPWO_support' #align hahn_series.is_pwo_support HahnSeries.isPWO_support @[simp] theorem isWF_support (x : HahnSeries Γ R) : x.support.IsWF := x.isPWO_support.isWF #align hahn_series.is_wf_support HahnSeries.isWF_support @[simp] theorem mem_support (x : HahnSeries Γ R) (a : Γ) : a ∈ x.support ↔ x.coeff a ≠ 0 := Iff.refl _ #align hahn_series.mem_support HahnSeries.mem_support instance : Zero (HahnSeries Γ R) := ⟨{ coeff := 0 isPWO_support' := by simp }⟩ instance : Inhabited (HahnSeries Γ R) := ⟨0⟩ instance [Subsingleton R] : Subsingleton (HahnSeries Γ R) := ⟨fun a b => a.ext b (Subsingleton.elim _ _)⟩ @[simp] theorem zero_coeff {a : Γ} : (0 : HahnSeries Γ R).coeff a = 0 := rfl #align hahn_series.zero_coeff HahnSeries.zero_coeff @[simp] theorem coeff_fun_eq_zero_iff {x : HahnSeries Γ R} : x.coeff = 0 ↔ x = 0 := coeff_injective.eq_iff' rfl #align hahn_series.coeff_fun_eq_zero_iff HahnSeries.coeff_fun_eq_zero_iff theorem ne_zero_of_coeff_ne_zero {x : HahnSeries Γ R} {g : Γ} (h : x.coeff g ≠ 0) : x ≠ 0 := mt (fun x0 => (x0.symm ▸ zero_coeff : x.coeff g = 0)) h #align hahn_series.ne_zero_of_coeff_ne_zero HahnSeries.ne_zero_of_coeff_ne_zero @[simp] theorem support_zero : support (0 : HahnSeries Γ R) = ∅ := Function.support_zero #align hahn_series.support_zero HahnSeries.support_zero @[simp] nonrec theorem support_nonempty_iff {x : HahnSeries Γ R} : x.support.Nonempty ↔ x ≠ 0 := by rw [support, support_nonempty_iff, Ne, coeff_fun_eq_zero_iff] #align hahn_series.support_nonempty_iff HahnSeries.support_nonempty_iff @[simp] theorem support_eq_empty_iff {x : HahnSeries Γ R} : x.support = ∅ ↔ x = 0 := support_eq_empty_iff.trans coeff_fun_eq_zero_iff #align hahn_series.support_eq_empty_iff HahnSeries.support_eq_empty_iff def ofIterate {Γ' : Type*} [PartialOrder Γ'] (x : HahnSeries Γ (HahnSeries Γ' R)) : HahnSeries (Γ ×ₗ Γ') R where coeff := fun g => coeff (coeff x g.1) g.2 isPWO_support' := by refine Set.PartiallyWellOrderedOn.subsetProdLex ?_ ?_ · refine Set.IsPWO.mono x.isPWO_support' ?_ simp_rw [Set.image_subset_iff, support_subset_iff, Set.mem_preimage, Function.mem_support] exact fun _ ↦ ne_zero_of_coeff_ne_zero · exact fun a => by simpa [Function.mem_support, ne_eq] using (x.coeff a).isPWO_support' @[simp] lemma mk_eq_zero (f : Γ → R) (h) : HahnSeries.mk f h = 0 ↔ f = 0 := by rw [HahnSeries.ext_iff] rfl def toIterate {Γ' : Type*} [PartialOrder Γ'] (x : HahnSeries (Γ ×ₗ Γ') R) : HahnSeries Γ (HahnSeries Γ' R) where coeff := fun g => { coeff := fun g' => coeff x (g, g') isPWO_support' := Set.PartiallyWellOrderedOn.fiberProdLex x.isPWO_support' g } isPWO_support' := by have h₁ : (Function.support fun g => HahnSeries.mk (fun g' => x.coeff (g, g')) (Set.PartiallyWellOrderedOn.fiberProdLex x.isPWO_support' g)) = Function.support fun g => fun g' => x.coeff (g, g') := by simp only [Function.support, ne_eq, mk_eq_zero] rw [h₁, Function.support_curry' x.coeff] exact Set.PartiallyWellOrderedOn.imageProdLex x.isPWO_support' @[simps] def iterateEquiv {Γ' : Type*} [PartialOrder Γ'] : HahnSeries Γ (HahnSeries Γ' R) ≃ HahnSeries (Γ ×ₗ Γ') R where toFun := ofIterate invFun := toIterate left_inv := congrFun rfl right_inv := congrFun rfl def single (a : Γ) : ZeroHom R (HahnSeries Γ R) where toFun r := { coeff := Pi.single a r isPWO_support' := (Set.isPWO_singleton a).mono Pi.support_single_subset } map_zero' := HahnSeries.ext _ _ (Pi.single_zero _) #align hahn_series.single HahnSeries.single variable {a b : Γ} {r : R} @[simp] theorem single_coeff_same (a : Γ) (r : R) : (single a r).coeff a = r := Pi.single_eq_same (f := fun _ => R) a r #align hahn_series.single_coeff_same HahnSeries.single_coeff_same @[simp] theorem single_coeff_of_ne (h : b ≠ a) : (single a r).coeff b = 0 := Pi.single_eq_of_ne (f := fun _ => R) h r #align hahn_series.single_coeff_of_ne HahnSeries.single_coeff_of_ne theorem single_coeff : (single a r).coeff b = if b = a then r else 0 := by split_ifs with h <;> simp [h] #align hahn_series.single_coeff HahnSeries.single_coeff @[simp] theorem support_single_of_ne (h : r ≠ 0) : support (single a r) = {a} := Pi.support_single_of_ne h #align hahn_series.support_single_of_ne HahnSeries.support_single_of_ne theorem support_single_subset : support (single a r) ⊆ {a} := Pi.support_single_subset #align hahn_series.support_single_subset HahnSeries.support_single_subset theorem eq_of_mem_support_single {b : Γ} (h : b ∈ support (single a r)) : b = a := support_single_subset h #align hahn_series.eq_of_mem_support_single HahnSeries.eq_of_mem_support_single --@[simp] Porting note (#10618): simp can prove it theorem single_eq_zero : single a (0 : R) = 0 := (single a).map_zero #align hahn_series.single_eq_zero HahnSeries.single_eq_zero theorem single_injective (a : Γ) : Function.Injective (single a : R → HahnSeries Γ R) := fun r s rs => by rw [← single_coeff_same a r, ← single_coeff_same a s, rs] #align hahn_series.single_injective HahnSeries.single_injective theorem single_ne_zero (h : r ≠ 0) : single a r ≠ 0 := fun con => h (single_injective a (con.trans single_eq_zero.symm)) #align hahn_series.single_ne_zero HahnSeries.single_ne_zero @[simp] theorem single_eq_zero_iff {a : Γ} {r : R} : single a r = 0 ↔ r = 0 := map_eq_zero_iff _ <| single_injective a #align hahn_series.single_eq_zero_iff HahnSeries.single_eq_zero_iff instance [Nonempty Γ] [Nontrivial R] : Nontrivial (HahnSeries Γ R) := ⟨by obtain ⟨r, s, rs⟩ := exists_pair_ne R inhabit Γ refine ⟨single default r, single default s, fun con => rs ?_⟩ rw [← single_coeff_same (default : Γ) r, con, single_coeff_same]⟩ section Order def orderTop (x : HahnSeries Γ R) : WithTop Γ := if h : x = 0 then ⊤ else x.isWF_support.min (support_nonempty_iff.2 h) @[simp] theorem orderTop_zero : orderTop (0 : HahnSeries Γ R) = ⊤ := dif_pos rfl theorem orderTop_of_ne {x : HahnSeries Γ R} (hx : x ≠ 0) : orderTop x = x.isWF_support.min (support_nonempty_iff.2 hx) := dif_neg hx @[simp] theorem ne_zero_iff_orderTop {x : HahnSeries Γ R} : x ≠ 0 ↔ orderTop x ≠ ⊤ := by constructor · exact fun hx => Eq.mpr (congrArg (fun h ↦ h ≠ ⊤) (orderTop_of_ne hx)) WithTop.coe_ne_top · contrapose! simp_all only [orderTop_zero, implies_true] theorem orderTop_eq_top_iff {x : HahnSeries Γ R} : orderTop x = ⊤ ↔ x = 0 := by constructor · contrapose! exact ne_zero_iff_orderTop.mp · simp_all only [orderTop_zero, implies_true] theorem untop_orderTop_of_ne_zero {x : HahnSeries Γ R} (hx : x ≠ 0) : WithTop.untop x.orderTop (ne_zero_iff_orderTop.mp hx) = x.isWF_support.min (support_nonempty_iff.2 hx) := WithTop.coe_inj.mp ((WithTop.coe_untop (orderTop x) (ne_zero_iff_orderTop.mp hx)).trans (orderTop_of_ne hx)) theorem coeff_orderTop_ne {x : HahnSeries Γ R} {g : Γ} (hg : x.orderTop = g) : x.coeff g ≠ 0 := by have h : orderTop x ≠ ⊤ := by simp_all only [ne_eq, WithTop.coe_ne_top, not_false_eq_true] have hx : x ≠ 0 := ne_zero_iff_orderTop.mpr h rw [orderTop_of_ne hx, WithTop.coe_eq_coe] at hg rw [← hg] exact x.isWF_support.min_mem (support_nonempty_iff.2 hx) theorem orderTop_le_of_coeff_ne_zero {Γ} [LinearOrder Γ] {x : HahnSeries Γ R} {g : Γ} (h : x.coeff g ≠ 0) : x.orderTop ≤ g := by rw [orderTop_of_ne (ne_zero_of_coeff_ne_zero h), WithTop.coe_le_coe] exact Set.IsWF.min_le _ _ ((mem_support _ _).2 h) @[simp] theorem orderTop_single (h : r ≠ 0) : (single a r).orderTop = a := (orderTop_of_ne (single_ne_zero h)).trans (WithTop.coe_inj.mpr (support_single_subset ((single a r).isWF_support.min_mem (support_nonempty_iff.2 (single_ne_zero h))))) theorem coeff_eq_zero_of_lt_orderTop {x : HahnSeries Γ R} {i : Γ} (hi : i < x.orderTop) : x.coeff i = 0 := by rcases eq_or_ne x 0 with (rfl | hx) · exact zero_coeff contrapose! hi rw [← mem_support] at hi rw [orderTop_of_ne hx, WithTop.coe_lt_coe] exact Set.IsWF.not_lt_min _ _ hi variable [Zero Γ] def order (x : HahnSeries Γ R) : Γ := if h : x = 0 then 0 else x.isWF_support.min (support_nonempty_iff.2 h) #align hahn_series.order HahnSeries.order @[simp] theorem order_zero : order (0 : HahnSeries Γ R) = 0 := dif_pos rfl #align hahn_series.order_zero HahnSeries.order_zero theorem order_of_ne {x : HahnSeries Γ R} (hx : x ≠ 0) : order x = x.isWF_support.min (support_nonempty_iff.2 hx) := dif_neg hx #align hahn_series.order_of_ne HahnSeries.order_of_ne theorem order_eq_orderTop_of_ne {x : HahnSeries Γ R} (hx : x ≠ 0) : order x = orderTop x := by rw [order_of_ne hx, orderTop_of_ne hx] theorem coeff_order_ne_zero {x : HahnSeries Γ R} (hx : x ≠ 0) : x.coeff x.order ≠ 0 := by rw [order_of_ne hx] exact x.isWF_support.min_mem (support_nonempty_iff.2 hx) #align hahn_series.coeff_order_ne_zero HahnSeries.coeff_order_ne_zero theorem order_le_of_coeff_ne_zero {Γ} [LinearOrderedCancelAddCommMonoid Γ] {x : HahnSeries Γ R} {g : Γ} (h : x.coeff g ≠ 0) : x.order ≤ g := le_trans (le_of_eq (order_of_ne (ne_zero_of_coeff_ne_zero h))) (Set.IsWF.min_le _ _ ((mem_support _ _).2 h)) #align hahn_series.order_le_of_coeff_ne_zero HahnSeries.order_le_of_coeff_ne_zero @[simp] theorem order_single (h : r ≠ 0) : (single a r).order = a := (order_of_ne (single_ne_zero h)).trans (support_single_subset ((single a r).isWF_support.min_mem (support_nonempty_iff.2 (single_ne_zero h)))) #align hahn_series.order_single HahnSeries.order_single
Mathlib/RingTheory/HahnSeries/Basic.lean
331
338
theorem coeff_eq_zero_of_lt_order {x : HahnSeries Γ R} {i : Γ} (hi : i < x.order) : x.coeff i = 0 := by
rcases eq_or_ne x 0 with (rfl | hx) · simp contrapose! hi rw [← mem_support] at hi rw [order_of_ne hx] exact Set.IsWF.not_lt_min _ _ hi
import Mathlib.Algebra.Order.Ring.Rat import Mathlib.Tactic.NormNum.Inv import Mathlib.Tactic.NormNum.Pow import Mathlib.Util.AtomM set_option autoImplicit true namespace Mathlib.Tactic namespace Ring open Mathlib.Meta Qq NormNum Lean.Meta AtomM open Lean (MetaM Expr mkRawNatLit) def instCommSemiringNat : CommSemiring ℕ := inferInstance def sℕ : Q(CommSemiring ℕ) := q(instCommSemiringNat) -- In this file, we would like to use multi-character auto-implicits. set_option relaxedAutoImplicit true mutual inductive ExBase : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type | atom (id : ℕ) : ExBase sα e | sum (_ : ExSum sα e) : ExBase sα e inductive ExProd : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type | const (value : ℚ) (hyp : Option Expr := none) : ExProd sα e | mul {α : Q(Type u)} {sα : Q(CommSemiring $α)} {x : Q($α)} {e : Q(ℕ)} {b : Q($α)} : ExBase sα x → ExProd sℕ e → ExProd sα b → ExProd sα q($x ^ $e * $b) inductive ExSum : ∀ {α : Q(Type u)}, Q(CommSemiring $α) → (e : Q($α)) → Type | zero {α : Q(Type u)} {sα : Q(CommSemiring $α)} : ExSum sα q(0 : $α) | add {α : Q(Type u)} {sα : Q(CommSemiring $α)} {a b : Q($α)} : ExProd sα a → ExSum sα b → ExSum sα q($a + $b) end mutual -- partial only to speed up compilation partial def ExBase.eq : ExBase sα a → ExBase sα b → Bool | .atom i, .atom j => i == j | .sum a, .sum b => a.eq b | _, _ => false @[inherit_doc ExBase.eq] partial def ExProd.eq : ExProd sα a → ExProd sα b → Bool | .const i _, .const j _ => i == j | .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => a₁.eq b₁ && a₂.eq b₂ && a₃.eq b₃ | _, _ => false @[inherit_doc ExBase.eq] partial def ExSum.eq : ExSum sα a → ExSum sα b → Bool | .zero, .zero => true | .add a₁ a₂, .add b₁ b₂ => a₁.eq b₁ && a₂.eq b₂ | _, _ => false end mutual -- partial only to speed up compilation partial def ExBase.cmp : ExBase sα a → ExBase sα b → Ordering | .atom i, .atom j => compare i j | .sum a, .sum b => a.cmp b | .atom .., .sum .. => .lt | .sum .., .atom .. => .gt @[inherit_doc ExBase.cmp] partial def ExProd.cmp : ExProd sα a → ExProd sα b → Ordering | .const i _, .const j _ => compare i j | .mul a₁ a₂ a₃, .mul b₁ b₂ b₃ => (a₁.cmp b₁).then (a₂.cmp b₂) |>.then (a₃.cmp b₃) | .const _ _, .mul .. => .lt | .mul .., .const _ _ => .gt @[inherit_doc ExBase.cmp] partial def ExSum.cmp : ExSum sα a → ExSum sα b → Ordering | .zero, .zero => .eq | .add a₁ a₂, .add b₁ b₂ => (a₁.cmp b₁).then (a₂.cmp b₂) | .zero, .add .. => .lt | .add .., .zero => .gt end instance : Inhabited (Σ e, (ExBase sα) e) := ⟨default, .atom 0⟩ instance : Inhabited (Σ e, (ExSum sα) e) := ⟨_, .zero⟩ instance : Inhabited (Σ e, (ExProd sα) e) := ⟨default, .const 0 none⟩ mutual partial def ExBase.cast : ExBase sα a → Σ a, ExBase sβ a | .atom i => ⟨a, .atom i⟩ | .sum a => let ⟨_, vb⟩ := a.cast; ⟨_, .sum vb⟩ partial def ExProd.cast : ExProd sα a → Σ a, ExProd sβ a | .const i h => ⟨a, .const i h⟩ | .mul a₁ a₂ a₃ => ⟨_, .mul a₁.cast.2 a₂ a₃.cast.2⟩ partial def ExSum.cast : ExSum sα a → Σ a, ExSum sβ a | .zero => ⟨_, .zero⟩ | .add a₁ a₂ => ⟨_, .add a₁.cast.2 a₂.cast.2⟩ end structure Result {α : Q(Type u)} (E : Q($α) → Type) (e : Q($α)) where expr : Q($α) val : E expr proof : Q($e = $expr) instance [Inhabited (Σ e, E e)] : Inhabited (Result E e) := let ⟨e', v⟩ : Σ e, E e := default; ⟨e', v, default⟩ variable {α : Q(Type u)} (sα : Q(CommSemiring $α)) [CommSemiring R] def ExProd.mkNat (n : ℕ) : (e : Q($α)) × ExProd sα e := let lit : Q(ℕ) := mkRawNatLit n ⟨q(($lit).rawCast : $α), .const n none⟩ def ExProd.mkNegNat (_ : Q(Ring $α)) (n : ℕ) : (e : Q($α)) × ExProd sα e := let lit : Q(ℕ) := mkRawNatLit n ⟨q((Int.negOfNat $lit).rawCast : $α), .const (-n) none⟩ def ExProd.mkRat (_ : Q(DivisionRing $α)) (q : ℚ) (n : Q(ℤ)) (d : Q(ℕ)) (h : Expr) : (e : Q($α)) × ExProd sα e := ⟨q(Rat.rawCast $n $d : $α), .const q h⟩ section variable {sα} def ExBase.toProd (va : ExBase sα a) (vb : ExProd sℕ b) : ExProd sα q($a ^ $b * (nat_lit 1).rawCast) := .mul va vb (.const 1 none) def ExProd.toSum (v : ExProd sα e) : ExSum sα q($e + 0) := .add v .zero def ExProd.coeff : ExProd sα e → ℚ | .const q _ => q | .mul _ _ v => v.coeff end inductive Overlap (e : Q($α)) where | zero (_ : Q(IsNat $e (nat_lit 0))) | nonzero (_ : Result (ExProd sα) e) theorem add_overlap_pf (x : R) (e) (pq_pf : a + b = c) : x ^ e * a + x ^ e * b = x ^ e * c := by subst_vars; simp [mul_add] theorem add_overlap_pf_zero (x : R) (e) : IsNat (a + b) (nat_lit 0) → IsNat (x ^ e * a + x ^ e * b) (nat_lit 0) | ⟨h⟩ => ⟨by simp [h, ← mul_add]⟩ def evalAddOverlap (va : ExProd sα a) (vb : ExProd sα b) : Option (Overlap sα q($a + $b)) := match va, vb with | .const za ha, .const zb hb => do let ra := Result.ofRawRat za a ha; let rb := Result.ofRawRat zb b hb let res ← NormNum.evalAdd.core q($a + $b) q(HAdd.hAdd) a b ra rb match res with | .isNat _ (.lit (.natVal 0)) p => pure <| .zero p | rc => let ⟨zc, hc⟩ ← rc.toRatNZ let ⟨c, pc⟩ := rc.toRawEq pure <| .nonzero ⟨c, .const zc hc, pc⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃, .mul vb₁ vb₂ vb₃ => do guard (va₁.eq vb₁ && va₂.eq vb₂) match ← evalAddOverlap va₃ vb₃ with | .zero p => pure <| .zero (q(add_overlap_pf_zero $a₁ $a₂ $p) : Expr) | .nonzero ⟨_, vc, p⟩ => pure <| .nonzero ⟨_, .mul va₁ va₂ vc, (q(add_overlap_pf $a₁ $a₂ $p) : Expr)⟩ | _, _ => none theorem add_pf_zero_add (b : R) : 0 + b = b := by simp theorem add_pf_add_zero (a : R) : a + 0 = a := by simp theorem add_pf_add_overlap (_ : a₁ + b₁ = c₁) (_ : a₂ + b₂ = c₂) : (a₁ + a₂ : R) + (b₁ + b₂) = c₁ + c₂ := by subst_vars; simp [add_assoc, add_left_comm] theorem add_pf_add_overlap_zero (h : IsNat (a₁ + b₁) (nat_lit 0)) (h₄ : a₂ + b₂ = c) : (a₁ + a₂ : R) + (b₁ + b₂) = c := by subst_vars; rw [add_add_add_comm, h.1, Nat.cast_zero, add_pf_zero_add] theorem add_pf_add_lt (a₁ : R) (_ : a₂ + b = c) : (a₁ + a₂) + b = a₁ + c := by simp [*, add_assoc] theorem add_pf_add_gt (b₁ : R) (_ : a + b₂ = c) : a + (b₁ + b₂) = b₁ + c := by subst_vars; simp [add_left_comm] partial def evalAdd (va : ExSum sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a + $b) := match va, vb with | .zero, vb => ⟨b, vb, q(add_pf_zero_add $b)⟩ | va, .zero => ⟨a, va, q(add_pf_add_zero $a)⟩ | .add (a := a₁) (b := _a₂) va₁ va₂, .add (a := b₁) (b := _b₂) vb₁ vb₂ => match evalAddOverlap sα va₁ vb₁ with | some (.nonzero ⟨_, vc₁, pc₁⟩) => let ⟨_, vc₂, pc₂⟩ := evalAdd va₂ vb₂ ⟨_, .add vc₁ vc₂, q(add_pf_add_overlap $pc₁ $pc₂)⟩ | some (.zero pc₁) => let ⟨c₂, vc₂, pc₂⟩ := evalAdd va₂ vb₂ ⟨c₂, vc₂, q(add_pf_add_overlap_zero $pc₁ $pc₂)⟩ | none => if let .lt := va₁.cmp vb₁ then let ⟨_c, vc, (pc : Q($_a₂ + ($b₁ + $_b₂) = $_c))⟩ := evalAdd va₂ vb ⟨_, .add va₁ vc, q(add_pf_add_lt $a₁ $pc)⟩ else let ⟨_c, vc, (pc : Q($a₁ + $_a₂ + $_b₂ = $_c))⟩ := evalAdd va vb₂ ⟨_, .add vb₁ vc, q(add_pf_add_gt $b₁ $pc)⟩ theorem one_mul (a : R) : (nat_lit 1).rawCast * a = a := by simp [Nat.rawCast] theorem mul_one (a : R) : a * (nat_lit 1).rawCast = a := by simp [Nat.rawCast] theorem mul_pf_left (a₁ : R) (a₂) (_ : a₃ * b = c) : (a₁ ^ a₂ * a₃ : R) * b = a₁ ^ a₂ * c := by subst_vars; rw [mul_assoc] theorem mul_pf_right (b₁ : R) (b₂) (_ : a * b₃ = c) : a * (b₁ ^ b₂ * b₃) = b₁ ^ b₂ * c := by subst_vars; rw [mul_left_comm] theorem mul_pp_pf_overlap (x : R) (_ : ea + eb = e) (_ : a₂ * b₂ = c) : (x ^ ea * a₂ : R) * (x ^ eb * b₂) = x ^ e * c := by subst_vars; simp [pow_add, mul_mul_mul_comm] partial def evalMulProd (va : ExProd sα a) (vb : ExProd sα b) : Result (ExProd sα) q($a * $b) := match va, vb with | .const za ha, .const zb hb => if za = 1 then ⟨b, .const zb hb, (q(one_mul $b) : Expr)⟩ else if zb = 1 then ⟨a, .const za ha, (q(mul_one $a) : Expr)⟩ else let ra := Result.ofRawRat za a ha; let rb := Result.ofRawRat zb b hb let rc := (NormNum.evalMul.core q($a * $b) q(HMul.hMul) _ _ q(CommSemiring.toSemiring) ra rb).get! let ⟨zc, hc⟩ := rc.toRatNZ.get! let ⟨c, pc⟩ := rc.toRawEq ⟨c, .const zc hc, pc⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃, .const _ _ => let ⟨_, vc, pc⟩ := evalMulProd va₃ vb ⟨_, .mul va₁ va₂ vc, (q(mul_pf_left $a₁ $a₂ $pc) : Expr)⟩ | .const _ _, .mul (x := b₁) (e := b₂) vb₁ vb₂ vb₃ => let ⟨_, vc, pc⟩ := evalMulProd va vb₃ ⟨_, .mul vb₁ vb₂ vc, (q(mul_pf_right $b₁ $b₂ $pc) : Expr)⟩ | .mul (x := xa) (e := ea) vxa vea va₂, .mul (x := xb) (e := eb) vxb veb vb₂ => Id.run do if vxa.eq vxb then if let some (.nonzero ⟨_, ve, pe⟩) := evalAddOverlap sℕ vea veb then let ⟨_, vc, pc⟩ := evalMulProd va₂ vb₂ return ⟨_, .mul vxa ve vc, (q(mul_pp_pf_overlap $xa $pe $pc) : Expr)⟩ if let .lt := (vxa.cmp vxb).then (vea.cmp veb) then let ⟨_, vc, pc⟩ := evalMulProd va₂ vb ⟨_, .mul vxa vea vc, (q(mul_pf_left $xa $ea $pc) : Expr)⟩ else let ⟨_, vc, pc⟩ := evalMulProd va vb₂ ⟨_, .mul vxb veb vc, (q(mul_pf_right $xb $eb $pc) : Expr)⟩ theorem mul_zero (a : R) : a * 0 = 0 := by simp
Mathlib/Tactic/Ring/Basic.lean
415
416
theorem mul_add (_ : (a : R) * b₁ = c₁) (_ : a * b₂ = c₂) (_ : c₁ + 0 + c₂ = d) : a * (b₁ + b₂) = d := by
subst_vars; simp [_root_.mul_add]
import Mathlib.Data.Real.Basic import Mathlib.Data.ENNReal.Real import Mathlib.Data.Sign #align_import data.real.ereal from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Function ENNReal NNReal Set noncomputable section def EReal := WithBot (WithTop ℝ) deriving Bot, Zero, One, Nontrivial, AddMonoid, PartialOrder #align ereal EReal instance : ZeroLEOneClass EReal := inferInstanceAs (ZeroLEOneClass (WithBot (WithTop ℝ))) instance : SupSet EReal := inferInstanceAs (SupSet (WithBot (WithTop ℝ))) instance : InfSet EReal := inferInstanceAs (InfSet (WithBot (WithTop ℝ))) instance : CompleteLinearOrder EReal := inferInstanceAs (CompleteLinearOrder (WithBot (WithTop ℝ))) instance : LinearOrderedAddCommMonoid EReal := inferInstanceAs (LinearOrderedAddCommMonoid (WithBot (WithTop ℝ))) instance : AddCommMonoidWithOne EReal := inferInstanceAs (AddCommMonoidWithOne (WithBot (WithTop ℝ))) instance : DenselyOrdered EReal := inferInstanceAs (DenselyOrdered (WithBot (WithTop ℝ))) @[coe] def Real.toEReal : ℝ → EReal := some ∘ some #align real.to_ereal Real.toEReal namespace EReal -- things unify with `WithBot.decidableLT` later if we don't provide this explicitly. instance decidableLT : DecidableRel ((· < ·) : EReal → EReal → Prop) := WithBot.decidableLT #align ereal.decidable_lt EReal.decidableLT -- TODO: Provide explicitly, otherwise it is inferred noncomputably from `CompleteLinearOrder` instance : Top EReal := ⟨some ⊤⟩ instance : Coe ℝ EReal := ⟨Real.toEReal⟩ theorem coe_strictMono : StrictMono Real.toEReal := WithBot.coe_strictMono.comp WithTop.coe_strictMono #align ereal.coe_strict_mono EReal.coe_strictMono theorem coe_injective : Injective Real.toEReal := coe_strictMono.injective #align ereal.coe_injective EReal.coe_injective @[simp, norm_cast] protected theorem coe_le_coe_iff {x y : ℝ} : (x : EReal) ≤ (y : EReal) ↔ x ≤ y := coe_strictMono.le_iff_le #align ereal.coe_le_coe_iff EReal.coe_le_coe_iff @[simp, norm_cast] protected theorem coe_lt_coe_iff {x y : ℝ} : (x : EReal) < (y : EReal) ↔ x < y := coe_strictMono.lt_iff_lt #align ereal.coe_lt_coe_iff EReal.coe_lt_coe_iff @[simp, norm_cast] protected theorem coe_eq_coe_iff {x y : ℝ} : (x : EReal) = (y : EReal) ↔ x = y := coe_injective.eq_iff #align ereal.coe_eq_coe_iff EReal.coe_eq_coe_iff protected theorem coe_ne_coe_iff {x y : ℝ} : (x : EReal) ≠ (y : EReal) ↔ x ≠ y := coe_injective.ne_iff #align ereal.coe_ne_coe_iff EReal.coe_ne_coe_iff @[coe] def _root_.ENNReal.toEReal : ℝ≥0∞ → EReal | ⊤ => ⊤ | .some x => x.1 #align ennreal.to_ereal ENNReal.toEReal instance hasCoeENNReal : Coe ℝ≥0∞ EReal := ⟨ENNReal.toEReal⟩ #align ereal.has_coe_ennreal EReal.hasCoeENNReal instance : Inhabited EReal := ⟨0⟩ @[simp, norm_cast] theorem coe_zero : ((0 : ℝ) : EReal) = 0 := rfl #align ereal.coe_zero EReal.coe_zero @[simp, norm_cast] theorem coe_one : ((1 : ℝ) : EReal) = 1 := rfl #align ereal.coe_one EReal.coe_one @[elab_as_elim, induction_eliminator, cases_eliminator] protected def rec {C : EReal → Sort*} (h_bot : C ⊥) (h_real : ∀ a : ℝ, C a) (h_top : C ⊤) : ∀ a : EReal, C a | ⊥ => h_bot | (a : ℝ) => h_real a | ⊤ => h_top #align ereal.rec EReal.rec protected def mul : EReal → EReal → EReal | ⊥, ⊥ => ⊤ | ⊥, ⊤ => ⊥ | ⊥, (y : ℝ) => if 0 < y then ⊥ else if y = 0 then 0 else ⊤ | ⊤, ⊥ => ⊥ | ⊤, ⊤ => ⊤ | ⊤, (y : ℝ) => if 0 < y then ⊤ else if y = 0 then 0 else ⊥ | (x : ℝ), ⊤ => if 0 < x then ⊤ else if x = 0 then 0 else ⊥ | (x : ℝ), ⊥ => if 0 < x then ⊥ else if x = 0 then 0 else ⊤ | (x : ℝ), (y : ℝ) => (x * y : ℝ) #align ereal.mul EReal.mul instance : Mul EReal := ⟨EReal.mul⟩ @[simp, norm_cast] theorem coe_mul (x y : ℝ) : (↑(x * y) : EReal) = x * y := rfl #align ereal.coe_mul EReal.coe_mul @[elab_as_elim] theorem induction₂ {P : EReal → EReal → Prop} (top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0) (top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥) (pos_top : ∀ x : ℝ, 0 < x → P x ⊤) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥) (zero_top : P 0 ⊤) (coe_coe : ∀ x y : ℝ, P x y) (zero_bot : P 0 ⊥) (neg_top : ∀ x : ℝ, x < 0 → P x ⊤) (neg_bot : ∀ x : ℝ, x < 0 → P x ⊥) (bot_top : P ⊥ ⊤) (bot_pos : ∀ x : ℝ, 0 < x → P ⊥ x) (bot_zero : P ⊥ 0) (bot_neg : ∀ x : ℝ, x < 0 → P ⊥ x) (bot_bot : P ⊥ ⊥) : ∀ x y, P x y | ⊥, ⊥ => bot_bot | ⊥, (y : ℝ) => by rcases lt_trichotomy y 0 with (hy | rfl | hy) exacts [bot_neg y hy, bot_zero, bot_pos y hy] | ⊥, ⊤ => bot_top | (x : ℝ), ⊥ => by rcases lt_trichotomy x 0 with (hx | rfl | hx) exacts [neg_bot x hx, zero_bot, pos_bot x hx] | (x : ℝ), (y : ℝ) => coe_coe _ _ | (x : ℝ), ⊤ => by rcases lt_trichotomy x 0 with (hx | rfl | hx) exacts [neg_top x hx, zero_top, pos_top x hx] | ⊤, ⊥ => top_bot | ⊤, (y : ℝ) => by rcases lt_trichotomy y 0 with (hy | rfl | hy) exacts [top_neg y hy, top_zero, top_pos y hy] | ⊤, ⊤ => top_top #align ereal.induction₂ EReal.induction₂ @[elab_as_elim] theorem induction₂_symm {P : EReal → EReal → Prop} (symm : ∀ {x y}, P x y → P y x) (top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0) (top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥) (coe_coe : ∀ x y : ℝ, P x y) (zero_bot : P 0 ⊥) (neg_bot : ∀ x : ℝ, x < 0 → P x ⊥) (bot_bot : P ⊥ ⊥) : ∀ x y, P x y := @induction₂ P top_top top_pos top_zero top_neg top_bot (fun _ h => symm <| top_pos _ h) pos_bot (symm top_zero) coe_coe zero_bot (fun _ h => symm <| top_neg _ h) neg_bot (symm top_bot) (fun _ h => symm <| pos_bot _ h) (symm zero_bot) (fun _ h => symm <| neg_bot _ h) bot_bot protected theorem mul_comm (x y : EReal) : x * y = y * x := by induction' x with x <;> induction' y with y <;> try { rfl } rw [← coe_mul, ← coe_mul, mul_comm] #align ereal.mul_comm EReal.mul_comm protected theorem one_mul : ∀ x : EReal, 1 * x = x | ⊤ => if_pos one_pos | ⊥ => if_pos one_pos | (x : ℝ) => congr_arg Real.toEReal (one_mul x) protected theorem zero_mul : ∀ x : EReal, 0 * x = 0 | ⊤ => (if_neg (lt_irrefl _)).trans (if_pos rfl) | ⊥ => (if_neg (lt_irrefl _)).trans (if_pos rfl) | (x : ℝ) => congr_arg Real.toEReal (zero_mul x) instance : MulZeroOneClass EReal where one_mul := EReal.one_mul mul_one := fun x => by rw [EReal.mul_comm, EReal.one_mul] zero_mul := EReal.zero_mul mul_zero := fun x => by rw [EReal.mul_comm, EReal.zero_mul] instance canLift : CanLift EReal ℝ (↑) fun r => r ≠ ⊤ ∧ r ≠ ⊥ where prf x hx := by induction x · simp at hx · simp · simp at hx #align ereal.can_lift EReal.canLift def toReal : EReal → ℝ | ⊥ => 0 | ⊤ => 0 | (x : ℝ) => x #align ereal.to_real EReal.toReal @[simp] theorem toReal_top : toReal ⊤ = 0 := rfl #align ereal.to_real_top EReal.toReal_top @[simp] theorem toReal_bot : toReal ⊥ = 0 := rfl #align ereal.to_real_bot EReal.toReal_bot @[simp] theorem toReal_zero : toReal 0 = 0 := rfl #align ereal.to_real_zero EReal.toReal_zero @[simp] theorem toReal_one : toReal 1 = 1 := rfl #align ereal.to_real_one EReal.toReal_one @[simp] theorem toReal_coe (x : ℝ) : toReal (x : EReal) = x := rfl #align ereal.to_real_coe EReal.toReal_coe @[simp] theorem bot_lt_coe (x : ℝ) : (⊥ : EReal) < x := WithBot.bot_lt_coe _ #align ereal.bot_lt_coe EReal.bot_lt_coe @[simp] theorem coe_ne_bot (x : ℝ) : (x : EReal) ≠ ⊥ := (bot_lt_coe x).ne' #align ereal.coe_ne_bot EReal.coe_ne_bot @[simp] theorem bot_ne_coe (x : ℝ) : (⊥ : EReal) ≠ x := (bot_lt_coe x).ne #align ereal.bot_ne_coe EReal.bot_ne_coe @[simp] theorem coe_lt_top (x : ℝ) : (x : EReal) < ⊤ := WithBot.coe_lt_coe.2 <| WithTop.coe_lt_top _ #align ereal.coe_lt_top EReal.coe_lt_top @[simp] theorem coe_ne_top (x : ℝ) : (x : EReal) ≠ ⊤ := (coe_lt_top x).ne #align ereal.coe_ne_top EReal.coe_ne_top @[simp] theorem top_ne_coe (x : ℝ) : (⊤ : EReal) ≠ x := (coe_lt_top x).ne' #align ereal.top_ne_coe EReal.top_ne_coe @[simp] theorem bot_lt_zero : (⊥ : EReal) < 0 := bot_lt_coe 0 #align ereal.bot_lt_zero EReal.bot_lt_zero @[simp] theorem bot_ne_zero : (⊥ : EReal) ≠ 0 := (coe_ne_bot 0).symm #align ereal.bot_ne_zero EReal.bot_ne_zero @[simp] theorem zero_ne_bot : (0 : EReal) ≠ ⊥ := coe_ne_bot 0 #align ereal.zero_ne_bot EReal.zero_ne_bot @[simp] theorem zero_lt_top : (0 : EReal) < ⊤ := coe_lt_top 0 #align ereal.zero_lt_top EReal.zero_lt_top @[simp] theorem zero_ne_top : (0 : EReal) ≠ ⊤ := coe_ne_top 0 #align ereal.zero_ne_top EReal.zero_ne_top @[simp] theorem top_ne_zero : (⊤ : EReal) ≠ 0 := (coe_ne_top 0).symm #align ereal.top_ne_zero EReal.top_ne_zero theorem range_coe : range Real.toEReal = {⊥, ⊤}ᶜ := by ext x induction x <;> simp theorem range_coe_eq_Ioo : range Real.toEReal = Ioo ⊥ ⊤ := by ext x induction x <;> simp @[simp, norm_cast] theorem coe_add (x y : ℝ) : (↑(x + y) : EReal) = x + y := rfl #align ereal.coe_add EReal.coe_add -- `coe_mul` moved up @[norm_cast] theorem coe_nsmul (n : ℕ) (x : ℝ) : (↑(n • x) : EReal) = n • (x : EReal) := map_nsmul (⟨⟨Real.toEReal, coe_zero⟩, coe_add⟩ : ℝ →+ EReal) _ _ #align ereal.coe_nsmul EReal.coe_nsmul #noalign ereal.coe_bit0 #noalign ereal.coe_bit1 @[simp, norm_cast] theorem coe_eq_zero {x : ℝ} : (x : EReal) = 0 ↔ x = 0 := EReal.coe_eq_coe_iff #align ereal.coe_eq_zero EReal.coe_eq_zero @[simp, norm_cast] theorem coe_eq_one {x : ℝ} : (x : EReal) = 1 ↔ x = 1 := EReal.coe_eq_coe_iff #align ereal.coe_eq_one EReal.coe_eq_one theorem coe_ne_zero {x : ℝ} : (x : EReal) ≠ 0 ↔ x ≠ 0 := EReal.coe_ne_coe_iff #align ereal.coe_ne_zero EReal.coe_ne_zero theorem coe_ne_one {x : ℝ} : (x : EReal) ≠ 1 ↔ x ≠ 1 := EReal.coe_ne_coe_iff #align ereal.coe_ne_one EReal.coe_ne_one @[simp, norm_cast] protected theorem coe_nonneg {x : ℝ} : (0 : EReal) ≤ x ↔ 0 ≤ x := EReal.coe_le_coe_iff #align ereal.coe_nonneg EReal.coe_nonneg @[simp, norm_cast] protected theorem coe_nonpos {x : ℝ} : (x : EReal) ≤ 0 ↔ x ≤ 0 := EReal.coe_le_coe_iff #align ereal.coe_nonpos EReal.coe_nonpos @[simp, norm_cast] protected theorem coe_pos {x : ℝ} : (0 : EReal) < x ↔ 0 < x := EReal.coe_lt_coe_iff #align ereal.coe_pos EReal.coe_pos @[simp, norm_cast] protected theorem coe_neg' {x : ℝ} : (x : EReal) < 0 ↔ x < 0 := EReal.coe_lt_coe_iff #align ereal.coe_neg' EReal.coe_neg' theorem toReal_le_toReal {x y : EReal} (h : x ≤ y) (hx : x ≠ ⊥) (hy : y ≠ ⊤) : x.toReal ≤ y.toReal := by lift x to ℝ using ⟨ne_top_of_le_ne_top hy h, hx⟩ lift y to ℝ using ⟨hy, ne_bot_of_le_ne_bot hx h⟩ simpa using h #align ereal.to_real_le_to_real EReal.toReal_le_toReal theorem coe_toReal {x : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) : (x.toReal : EReal) = x := by lift x to ℝ using ⟨hx, h'x⟩ rfl #align ereal.coe_to_real EReal.coe_toReal theorem le_coe_toReal {x : EReal} (h : x ≠ ⊤) : x ≤ x.toReal := by by_cases h' : x = ⊥ · simp only [h', bot_le] · simp only [le_refl, coe_toReal h h'] #align ereal.le_coe_to_real EReal.le_coe_toReal theorem coe_toReal_le {x : EReal} (h : x ≠ ⊥) : ↑x.toReal ≤ x := by by_cases h' : x = ⊤ · simp only [h', le_top] · simp only [le_refl, coe_toReal h' h] #align ereal.coe_to_real_le EReal.coe_toReal_le theorem eq_top_iff_forall_lt (x : EReal) : x = ⊤ ↔ ∀ y : ℝ, (y : EReal) < x := by constructor · rintro rfl exact EReal.coe_lt_top · contrapose! intro h exact ⟨x.toReal, le_coe_toReal h⟩ #align ereal.eq_top_iff_forall_lt EReal.eq_top_iff_forall_lt
Mathlib/Data/Real/EReal.lean
437
443
theorem eq_bot_iff_forall_lt (x : EReal) : x = ⊥ ↔ ∀ y : ℝ, x < (y : EReal) := by
constructor · rintro rfl exact bot_lt_coe · contrapose! intro h exact ⟨x.toReal, coe_toReal_le h⟩
import Mathlib.MeasureTheory.Measure.MeasureSpace import Mathlib.MeasureTheory.Measure.Regular import Mathlib.Topology.Sets.Compacts #align_import measure_theory.measure.content from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" universe u v w noncomputable section open Set TopologicalSpace open NNReal ENNReal MeasureTheory namespace MeasureTheory variable {G : Type w} [TopologicalSpace G] structure Content (G : Type w) [TopologicalSpace G] where toFun : Compacts G → ℝ≥0 mono' : ∀ K₁ K₂ : Compacts G, (K₁ : Set G) ⊆ K₂ → toFun K₁ ≤ toFun K₂ sup_disjoint' : ∀ K₁ K₂ : Compacts G, Disjoint (K₁ : Set G) K₂ → IsClosed (K₁ : Set G) → IsClosed (K₂ : Set G) → toFun (K₁ ⊔ K₂) = toFun K₁ + toFun K₂ sup_le' : ∀ K₁ K₂ : Compacts G, toFun (K₁ ⊔ K₂) ≤ toFun K₁ + toFun K₂ #align measure_theory.content MeasureTheory.Content instance : Inhabited (Content G) := ⟨{ toFun := fun _ => 0 mono' := by simp sup_disjoint' := by simp sup_le' := by simp }⟩ instance : CoeFun (Content G) fun _ => Compacts G → ℝ≥0∞ := ⟨fun μ s => μ.toFun s⟩ namespace Content variable (μ : Content G) theorem apply_eq_coe_toFun (K : Compacts G) : μ K = μ.toFun K := rfl #align measure_theory.content.apply_eq_coe_to_fun MeasureTheory.Content.apply_eq_coe_toFun theorem mono (K₁ K₂ : Compacts G) (h : (K₁ : Set G) ⊆ K₂) : μ K₁ ≤ μ K₂ := by simp [apply_eq_coe_toFun, μ.mono' _ _ h] #align measure_theory.content.mono MeasureTheory.Content.mono theorem sup_disjoint (K₁ K₂ : Compacts G) (h : Disjoint (K₁ : Set G) K₂) (h₁ : IsClosed (K₁ : Set G)) (h₂ : IsClosed (K₂ : Set G)) : μ (K₁ ⊔ K₂) = μ K₁ + μ K₂ := by simp [apply_eq_coe_toFun, μ.sup_disjoint' _ _ h] #align measure_theory.content.sup_disjoint MeasureTheory.Content.sup_disjoint theorem sup_le (K₁ K₂ : Compacts G) : μ (K₁ ⊔ K₂) ≤ μ K₁ + μ K₂ := by simp only [apply_eq_coe_toFun] norm_cast exact μ.sup_le' _ _ #align measure_theory.content.sup_le MeasureTheory.Content.sup_le theorem lt_top (K : Compacts G) : μ K < ∞ := ENNReal.coe_lt_top #align measure_theory.content.lt_top MeasureTheory.Content.lt_top theorem empty : μ ⊥ = 0 := by have := μ.sup_disjoint' ⊥ ⊥ simpa [apply_eq_coe_toFun] using this #align measure_theory.content.empty MeasureTheory.Content.empty def innerContent (U : Opens G) : ℝ≥0∞ := ⨆ (K : Compacts G) (_ : (K : Set G) ⊆ U), μ K #align measure_theory.content.inner_content MeasureTheory.Content.innerContent theorem le_innerContent (K : Compacts G) (U : Opens G) (h2 : (K : Set G) ⊆ U) : μ K ≤ μ.innerContent U := le_iSup_of_le K <| le_iSup (fun _ ↦ (μ.toFun K : ℝ≥0∞)) h2 #align measure_theory.content.le_inner_content MeasureTheory.Content.le_innerContent theorem innerContent_le (U : Opens G) (K : Compacts G) (h2 : (U : Set G) ⊆ K) : μ.innerContent U ≤ μ K := iSup₂_le fun _ hK' => μ.mono _ _ (Subset.trans hK' h2) #align measure_theory.content.inner_content_le MeasureTheory.Content.innerContent_le theorem innerContent_of_isCompact {K : Set G} (h1K : IsCompact K) (h2K : IsOpen K) : μ.innerContent ⟨K, h2K⟩ = μ ⟨K, h1K⟩ := le_antisymm (iSup₂_le fun _ hK' => μ.mono _ ⟨K, h1K⟩ hK') (μ.le_innerContent _ _ Subset.rfl) #align measure_theory.content.inner_content_of_is_compact MeasureTheory.Content.innerContent_of_isCompact theorem innerContent_bot : μ.innerContent ⊥ = 0 := by refine le_antisymm ?_ (zero_le _) rw [← μ.empty] refine iSup₂_le fun K hK => ?_ have : K = ⊥ := by ext1 rw [subset_empty_iff.mp hK, Compacts.coe_bot] rw [this] #align measure_theory.content.inner_content_bot MeasureTheory.Content.innerContent_bot theorem innerContent_mono ⦃U V : Set G⦄ (hU : IsOpen U) (hV : IsOpen V) (h2 : U ⊆ V) : μ.innerContent ⟨U, hU⟩ ≤ μ.innerContent ⟨V, hV⟩ := biSup_mono fun _ hK => hK.trans h2 #align measure_theory.content.inner_content_mono MeasureTheory.Content.innerContent_mono theorem innerContent_exists_compact {U : Opens G} (hU : μ.innerContent U ≠ ∞) {ε : ℝ≥0} (hε : ε ≠ 0) : ∃ K : Compacts G, (K : Set G) ⊆ U ∧ μ.innerContent U ≤ μ K + ε := by have h'ε := ENNReal.coe_ne_zero.2 hε rcases le_or_lt (μ.innerContent U) ε with h | h · exact ⟨⊥, empty_subset _, le_add_left h⟩ have h₂ := ENNReal.sub_lt_self hU h.ne_bot h'ε conv at h₂ => rhs; rw [innerContent] simp only [lt_iSup_iff] at h₂ rcases h₂ with ⟨U, h1U, h2U⟩; refine ⟨U, h1U, ?_⟩ rw [← tsub_le_iff_right]; exact le_of_lt h2U #align measure_theory.content.inner_content_exists_compact MeasureTheory.Content.innerContent_exists_compact theorem innerContent_iSup_nat [R1Space G] (U : ℕ → Opens G) : μ.innerContent (⨆ i : ℕ, U i) ≤ ∑' i : ℕ, μ.innerContent (U i) := by have h3 : ∀ (t : Finset ℕ) (K : ℕ → Compacts G), μ (t.sup K) ≤ t.sum fun i => μ (K i) := by intro t K refine Finset.induction_on t ?_ ?_ · simp only [μ.empty, nonpos_iff_eq_zero, Finset.sum_empty, Finset.sup_empty] · intro n s hn ih rw [Finset.sup_insert, Finset.sum_insert hn] exact le_trans (μ.sup_le _ _) (add_le_add_left ih _) refine iSup₂_le fun K hK => ?_ obtain ⟨t, ht⟩ := K.isCompact.elim_finite_subcover _ (fun i => (U i).isOpen) (by rwa [← Opens.coe_iSup]) rcases K.isCompact.finite_compact_cover t (SetLike.coe ∘ U) (fun i _ => (U i).isOpen) ht with ⟨K', h1K', h2K', h3K'⟩ let L : ℕ → Compacts G := fun n => ⟨K' n, h1K' n⟩ convert le_trans (h3 t L) _ · ext1 rw [Compacts.coe_finset_sup, Finset.sup_eq_iSup] exact h3K' refine le_trans (Finset.sum_le_sum ?_) (ENNReal.sum_le_tsum t) intro i _ refine le_trans ?_ (le_iSup _ (L i)) refine le_trans ?_ (le_iSup _ (h2K' i)) rfl #align measure_theory.content.inner_content_Sup_nat MeasureTheory.Content.innerContent_iSup_nat theorem innerContent_iUnion_nat [R1Space G] ⦃U : ℕ → Set G⦄ (hU : ∀ i : ℕ, IsOpen (U i)) : μ.innerContent ⟨⋃ i : ℕ, U i, isOpen_iUnion hU⟩ ≤ ∑' i : ℕ, μ.innerContent ⟨U i, hU i⟩ := by have := μ.innerContent_iSup_nat fun i => ⟨U i, hU i⟩ rwa [Opens.iSup_def] at this #align measure_theory.content.inner_content_Union_nat MeasureTheory.Content.innerContent_iUnion_nat theorem innerContent_comap (f : G ≃ₜ G) (h : ∀ ⦃K : Compacts G⦄, μ (K.map f f.continuous) = μ K) (U : Opens G) : μ.innerContent (Opens.comap f.toContinuousMap U) = μ.innerContent U := by refine (Compacts.equiv f).surjective.iSup_congr _ fun K => iSup_congr_Prop image_subset_iff ?_ intro hK simp only [Equiv.coe_fn_mk, Subtype.mk_eq_mk, Compacts.equiv] apply h #align measure_theory.content.inner_content_comap MeasureTheory.Content.innerContent_comap @[to_additive] theorem is_mul_left_invariant_innerContent [Group G] [TopologicalGroup G] (h : ∀ (g : G) {K : Compacts G}, μ (K.map _ <| continuous_mul_left g) = μ K) (g : G) (U : Opens G) : μ.innerContent (Opens.comap (Homeomorph.mulLeft g).toContinuousMap U) = μ.innerContent U := by convert μ.innerContent_comap (Homeomorph.mulLeft g) (fun K => h g) U #align measure_theory.content.is_mul_left_invariant_inner_content MeasureTheory.Content.is_mul_left_invariant_innerContent #align measure_theory.content.is_add_left_invariant_inner_content MeasureTheory.Content.is_add_left_invariant_innerContent @[to_additive] theorem innerContent_pos_of_is_mul_left_invariant [Group G] [TopologicalGroup G] (h3 : ∀ (g : G) {K : Compacts G}, μ (K.map _ <| continuous_mul_left g) = μ K) (K : Compacts G) (hK : μ K ≠ 0) (U : Opens G) (hU : (U : Set G).Nonempty) : 0 < μ.innerContent U := by have : (interior (U : Set G)).Nonempty := by rwa [U.isOpen.interior_eq] rcases compact_covered_by_mul_left_translates K.2 this with ⟨s, hs⟩ suffices μ K ≤ s.card * μ.innerContent U by exact (ENNReal.mul_pos_iff.mp <| hK.bot_lt.trans_le this).2 have : (K : Set G) ⊆ ↑(⨆ g ∈ s, Opens.comap (Homeomorph.mulLeft g).toContinuousMap U) := by simpa only [Opens.iSup_def, Opens.coe_comap, Subtype.coe_mk] refine (μ.le_innerContent _ _ this).trans ?_ refine (rel_iSup_sum μ.innerContent μ.innerContent_bot (· ≤ ·) μ.innerContent_iSup_nat _ _).trans ?_ simp only [μ.is_mul_left_invariant_innerContent h3, Finset.sum_const, nsmul_eq_mul, le_refl] #align measure_theory.content.inner_content_pos_of_is_mul_left_invariant MeasureTheory.Content.innerContent_pos_of_is_mul_left_invariant #align measure_theory.content.inner_content_pos_of_is_add_left_invariant MeasureTheory.Content.innerContent_pos_of_is_add_left_invariant theorem innerContent_mono' ⦃U V : Set G⦄ (hU : IsOpen U) (hV : IsOpen V) (h2 : U ⊆ V) : μ.innerContent ⟨U, hU⟩ ≤ μ.innerContent ⟨V, hV⟩ := biSup_mono fun _ hK => hK.trans h2 #align measure_theory.content.inner_content_mono' MeasureTheory.Content.innerContent_mono' section OuterMeasure protected def outerMeasure : OuterMeasure G := inducedOuterMeasure (fun U hU => μ.innerContent ⟨U, hU⟩) isOpen_empty μ.innerContent_bot #align measure_theory.content.outer_measure MeasureTheory.Content.outerMeasure variable [R1Space G] theorem outerMeasure_opens (U : Opens G) : μ.outerMeasure U = μ.innerContent U := inducedOuterMeasure_eq' (fun _ => isOpen_iUnion) μ.innerContent_iUnion_nat μ.innerContent_mono U.2 #align measure_theory.content.outer_measure_opens MeasureTheory.Content.outerMeasure_opens theorem outerMeasure_of_isOpen (U : Set G) (hU : IsOpen U) : μ.outerMeasure U = μ.innerContent ⟨U, hU⟩ := μ.outerMeasure_opens ⟨U, hU⟩ #align measure_theory.content.outer_measure_of_is_open MeasureTheory.Content.outerMeasure_of_isOpen theorem outerMeasure_le (U : Opens G) (K : Compacts G) (hUK : (U : Set G) ⊆ K) : μ.outerMeasure U ≤ μ K := (μ.outerMeasure_opens U).le.trans <| μ.innerContent_le U K hUK #align measure_theory.content.outer_measure_le MeasureTheory.Content.outerMeasure_le theorem le_outerMeasure_compacts (K : Compacts G) : μ K ≤ μ.outerMeasure K := by rw [Content.outerMeasure, inducedOuterMeasure_eq_iInf] · exact le_iInf fun U => le_iInf fun hU => le_iInf <| μ.le_innerContent K ⟨U, hU⟩ · exact fun U hU => isOpen_iUnion hU · exact μ.innerContent_iUnion_nat · exact μ.innerContent_mono #align measure_theory.content.le_outer_measure_compacts MeasureTheory.Content.le_outerMeasure_compacts theorem outerMeasure_eq_iInf (A : Set G) : μ.outerMeasure A = ⨅ (U : Set G) (hU : IsOpen U) (_ : A ⊆ U), μ.innerContent ⟨U, hU⟩ := inducedOuterMeasure_eq_iInf _ μ.innerContent_iUnion_nat μ.innerContent_mono A #align measure_theory.content.outer_measure_eq_infi MeasureTheory.Content.outerMeasure_eq_iInf theorem outerMeasure_interior_compacts (K : Compacts G) : μ.outerMeasure (interior K) ≤ μ K := (μ.outerMeasure_opens <| Opens.interior K).le.trans <| μ.innerContent_le _ _ interior_subset #align measure_theory.content.outer_measure_interior_compacts MeasureTheory.Content.outerMeasure_interior_compacts theorem outerMeasure_exists_compact {U : Opens G} (hU : μ.outerMeasure U ≠ ∞) {ε : ℝ≥0} (hε : ε ≠ 0) : ∃ K : Compacts G, (K : Set G) ⊆ U ∧ μ.outerMeasure U ≤ μ.outerMeasure K + ε := by rw [μ.outerMeasure_opens] at hU ⊢ rcases μ.innerContent_exists_compact hU hε with ⟨K, h1K, h2K⟩ exact ⟨K, h1K, le_trans h2K <| add_le_add_right (μ.le_outerMeasure_compacts K) _⟩ #align measure_theory.content.outer_measure_exists_compact MeasureTheory.Content.outerMeasure_exists_compact
Mathlib/MeasureTheory/Measure/Content.lean
296
301
theorem outerMeasure_exists_open {A : Set G} (hA : μ.outerMeasure A ≠ ∞) {ε : ℝ≥0} (hε : ε ≠ 0) : ∃ U : Opens G, A ⊆ U ∧ μ.outerMeasure U ≤ μ.outerMeasure A + ε := by
rcases inducedOuterMeasure_exists_set _ μ.innerContent_iUnion_nat μ.innerContent_mono hA (ENNReal.coe_ne_zero.2 hε) with ⟨U, hU, h2U, h3U⟩ exact ⟨⟨U, hU⟩, h2U, h3U⟩
import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.FractionalIdeal.Basic #align_import ring_theory.fractional_ideal from "leanprover-community/mathlib"@"ed90a7d327c3a5caf65a6faf7e8a0d63c4605df7" open IsLocalization Pointwise nonZeroDivisors namespace FractionalIdeal open Set Submodule variable {R : Type*} [CommRing R] {S : Submonoid R} {P : Type*} [CommRing P] variable [Algebra R P] [loc : IsLocalization S P] section variable {P' : Type*} [CommRing P'] [Algebra R P'] [loc' : IsLocalization S P'] variable {P'' : Type*} [CommRing P''] [Algebra R P''] [loc'' : IsLocalization S P''] theorem _root_.IsFractional.map (g : P →ₐ[R] P') {I : Submodule R P} : IsFractional S I → IsFractional S (Submodule.map g.toLinearMap I) | ⟨a, a_nonzero, hI⟩ => ⟨a, a_nonzero, fun b hb => by obtain ⟨b', b'_mem, hb'⟩ := Submodule.mem_map.mp hb rw [AlgHom.toLinearMap_apply] at hb' obtain ⟨x, hx⟩ := hI b' b'_mem use x rw [← g.commutes, hx, g.map_smul, hb']⟩ #align is_fractional.map IsFractional.map def map (g : P →ₐ[R] P') : FractionalIdeal S P → FractionalIdeal S P' := fun I => ⟨Submodule.map g.toLinearMap I, I.isFractional.map g⟩ #align fractional_ideal.map FractionalIdeal.map @[simp, norm_cast] theorem coe_map (g : P →ₐ[R] P') (I : FractionalIdeal S P) : ↑(map g I) = Submodule.map g.toLinearMap I := rfl #align fractional_ideal.coe_map FractionalIdeal.coe_map @[simp] theorem mem_map {I : FractionalIdeal S P} {g : P →ₐ[R] P'} {y : P'} : y ∈ I.map g ↔ ∃ x, x ∈ I ∧ g x = y := Submodule.mem_map #align fractional_ideal.mem_map FractionalIdeal.mem_map variable (I J : FractionalIdeal S P) (g : P →ₐ[R] P') @[simp] theorem map_id : I.map (AlgHom.id _ _) = I := coeToSubmodule_injective (Submodule.map_id (I : Submodule R P)) #align fractional_ideal.map_id FractionalIdeal.map_id @[simp] theorem map_comp (g' : P' →ₐ[R] P'') : I.map (g'.comp g) = (I.map g).map g' := coeToSubmodule_injective (Submodule.map_comp g.toLinearMap g'.toLinearMap I) #align fractional_ideal.map_comp FractionalIdeal.map_comp @[simp, norm_cast] theorem map_coeIdeal (I : Ideal R) : (I : FractionalIdeal S P).map g = I := by ext x simp only [mem_coeIdeal] constructor · rintro ⟨_, ⟨y, hy, rfl⟩, rfl⟩ exact ⟨y, hy, (g.commutes y).symm⟩ · rintro ⟨y, hy, rfl⟩ exact ⟨_, ⟨y, hy, rfl⟩, g.commutes y⟩ #align fractional_ideal.map_coe_ideal FractionalIdeal.map_coeIdeal @[simp] theorem map_one : (1 : FractionalIdeal S P).map g = 1 := map_coeIdeal g ⊤ #align fractional_ideal.map_one FractionalIdeal.map_one @[simp] theorem map_zero : (0 : FractionalIdeal S P).map g = 0 := map_coeIdeal g 0 #align fractional_ideal.map_zero FractionalIdeal.map_zero @[simp] theorem map_add : (I + J).map g = I.map g + J.map g := coeToSubmodule_injective (Submodule.map_sup _ _ _) #align fractional_ideal.map_add FractionalIdeal.map_add @[simp] theorem map_mul : (I * J).map g = I.map g * J.map g := by simp only [mul_def] exact coeToSubmodule_injective (Submodule.map_mul _ _ _) #align fractional_ideal.map_mul FractionalIdeal.map_mul @[simp] theorem map_map_symm (g : P ≃ₐ[R] P') : (I.map (g : P →ₐ[R] P')).map (g.symm : P' →ₐ[R] P) = I := by rw [← map_comp, g.symm_comp, map_id] #align fractional_ideal.map_map_symm FractionalIdeal.map_map_symm @[simp] theorem map_symm_map (I : FractionalIdeal S P') (g : P ≃ₐ[R] P') : (I.map (g.symm : P' →ₐ[R] P)).map (g : P →ₐ[R] P') = I := by rw [← map_comp, g.comp_symm, map_id] #align fractional_ideal.map_symm_map FractionalIdeal.map_symm_map theorem map_mem_map {f : P →ₐ[R] P'} (h : Function.Injective f) {x : P} {I : FractionalIdeal S P} : f x ∈ map f I ↔ x ∈ I := mem_map.trans ⟨fun ⟨_, hx', x'_eq⟩ => h x'_eq ▸ hx', fun h => ⟨x, h, rfl⟩⟩ #align fractional_ideal.map_mem_map FractionalIdeal.map_mem_map theorem map_injective (f : P →ₐ[R] P') (h : Function.Injective f) : Function.Injective (map f : FractionalIdeal S P → FractionalIdeal S P') := fun _ _ hIJ => ext fun _ => (map_mem_map h).symm.trans (hIJ.symm ▸ map_mem_map h) #align fractional_ideal.map_injective FractionalIdeal.map_injective def mapEquiv (g : P ≃ₐ[R] P') : FractionalIdeal S P ≃+* FractionalIdeal S P' where toFun := map g invFun := map g.symm map_add' I J := map_add I J _ map_mul' I J := map_mul I J _ left_inv I := by rw [← map_comp, AlgEquiv.symm_comp, map_id] right_inv I := by rw [← map_comp, AlgEquiv.comp_symm, map_id] #align fractional_ideal.map_equiv FractionalIdeal.mapEquiv @[simp] theorem coeFun_mapEquiv (g : P ≃ₐ[R] P') : (mapEquiv g : FractionalIdeal S P → FractionalIdeal S P') = map g := rfl #align fractional_ideal.coe_fun_map_equiv FractionalIdeal.coeFun_mapEquiv @[simp] theorem mapEquiv_apply (g : P ≃ₐ[R] P') (I : FractionalIdeal S P) : mapEquiv g I = map (↑g) I := rfl #align fractional_ideal.map_equiv_apply FractionalIdeal.mapEquiv_apply @[simp] theorem mapEquiv_symm (g : P ≃ₐ[R] P') : ((mapEquiv g).symm : FractionalIdeal S P' ≃+* _) = mapEquiv g.symm := rfl #align fractional_ideal.map_equiv_symm FractionalIdeal.mapEquiv_symm @[simp] theorem mapEquiv_refl : mapEquiv AlgEquiv.refl = RingEquiv.refl (FractionalIdeal S P) := RingEquiv.ext fun x => by simp #align fractional_ideal.map_equiv_refl FractionalIdeal.mapEquiv_refl theorem isFractional_span_iff {s : Set P} : IsFractional S (span R s) ↔ ∃ a ∈ S, ∀ b : P, b ∈ s → IsInteger R (a • b) := ⟨fun ⟨a, a_mem, h⟩ => ⟨a, a_mem, fun b hb => h b (subset_span hb)⟩, fun ⟨a, a_mem, h⟩ => ⟨a, a_mem, fun b hb => span_induction hb h (by rw [smul_zero] exact isInteger_zero) (fun x y hx hy => by rw [smul_add] exact isInteger_add hx hy) fun s x hx => by rw [smul_comm] exact isInteger_smul hx⟩⟩ #align fractional_ideal.is_fractional_span_iff FractionalIdeal.isFractional_span_iff theorem isFractional_of_fg {I : Submodule R P} (hI : I.FG) : IsFractional S I := by rcases hI with ⟨I, rfl⟩ rcases exist_integer_multiples_of_finset S I with ⟨⟨s, hs1⟩, hs⟩ rw [isFractional_span_iff] exact ⟨s, hs1, hs⟩ #align fractional_ideal.is_fractional_of_fg FractionalIdeal.isFractional_of_fg theorem mem_span_mul_finite_of_mem_mul {I J : FractionalIdeal S P} {x : P} (hx : x ∈ I * J) : ∃ T T' : Finset P, (T : Set P) ⊆ I ∧ (T' : Set P) ⊆ J ∧ x ∈ span R (T * T' : Set P) := Submodule.mem_span_mul_finite_of_mem_mul (by simpa using mem_coe.mpr hx) #align fractional_ideal.mem_span_mul_finite_of_mem_mul FractionalIdeal.mem_span_mul_finite_of_mem_mul variable (S) theorem coeIdeal_fg (inj : Function.Injective (algebraMap R P)) (I : Ideal R) : FG ((I : FractionalIdeal S P) : Submodule R P) ↔ I.FG := coeSubmodule_fg _ inj _ #align fractional_ideal.coe_ideal_fg FractionalIdeal.coeIdeal_fg variable {S} theorem fg_unit (I : (FractionalIdeal S P)ˣ) : FG (I : Submodule R P) := Submodule.fg_unit <| Units.map (coeSubmoduleHom S P).toMonoidHom I #align fractional_ideal.fg_unit FractionalIdeal.fg_unit theorem fg_of_isUnit (I : FractionalIdeal S P) (h : IsUnit I) : FG (I : Submodule R P) := fg_unit h.unit #align fractional_ideal.fg_of_is_unit FractionalIdeal.fg_of_isUnit theorem _root_.Ideal.fg_of_isUnit (inj : Function.Injective (algebraMap R P)) (I : Ideal R) (h : IsUnit (I : FractionalIdeal S P)) : I.FG := by rw [← coeIdeal_fg S inj I] exact FractionalIdeal.fg_of_isUnit I h #align ideal.fg_of_is_unit Ideal.fg_of_isUnit variable (S P P') noncomputable irreducible_def canonicalEquiv : FractionalIdeal S P ≃+* FractionalIdeal S P' := mapEquiv { ringEquivOfRingEquiv P P' (RingEquiv.refl R) (show S.map _ = S by rw [RingEquiv.toMonoidHom_refl, Submonoid.map_id]) with commutes' := fun r => ringEquivOfRingEquiv_eq _ _ } #align fractional_ideal.canonical_equiv FractionalIdeal.canonicalEquiv @[simp] theorem mem_canonicalEquiv_apply {I : FractionalIdeal S P} {x : P'} : x ∈ canonicalEquiv S P P' I ↔ ∃ y ∈ I, IsLocalization.map P' (RingHom.id R) (fun y (hy : y ∈ S) => show RingHom.id R y ∈ S from hy) (y : P) = x := by rw [canonicalEquiv, mapEquiv_apply, mem_map] exact ⟨fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩, fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩⟩ #align fractional_ideal.mem_canonical_equiv_apply FractionalIdeal.mem_canonicalEquiv_apply @[simp] theorem canonicalEquiv_symm : (canonicalEquiv S P P').symm = canonicalEquiv S P' P := RingEquiv.ext fun I => SetLike.ext_iff.mpr fun x => by rw [mem_canonicalEquiv_apply, canonicalEquiv, mapEquiv_symm, mapEquiv_apply, mem_map] exact ⟨fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩, fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩⟩ #align fractional_ideal.canonical_equiv_symm FractionalIdeal.canonicalEquiv_symm theorem canonicalEquiv_flip (I) : canonicalEquiv S P P' (canonicalEquiv S P' P I) = I := by rw [← canonicalEquiv_symm]; erw [RingEquiv.apply_symm_apply] #align fractional_ideal.canonical_equiv_flip FractionalIdeal.canonicalEquiv_flip @[simp] theorem canonicalEquiv_canonicalEquiv (P'' : Type*) [CommRing P''] [Algebra R P''] [IsLocalization S P''] (I : FractionalIdeal S P) : canonicalEquiv S P' P'' (canonicalEquiv S P P' I) = canonicalEquiv S P P'' I := by ext simp only [IsLocalization.map_map, RingHomInvPair.comp_eq₂, mem_canonicalEquiv_apply, exists_prop, exists_exists_and_eq_and] #align fractional_ideal.canonical_equiv_canonical_equiv FractionalIdeal.canonicalEquiv_canonicalEquiv theorem canonicalEquiv_trans_canonicalEquiv (P'' : Type*) [CommRing P''] [Algebra R P''] [IsLocalization S P''] : (canonicalEquiv S P P').trans (canonicalEquiv S P' P'') = canonicalEquiv S P P'' := RingEquiv.ext (canonicalEquiv_canonicalEquiv S P P' P'') #align fractional_ideal.canonical_equiv_trans_canonical_equiv FractionalIdeal.canonicalEquiv_trans_canonicalEquiv @[simp] theorem canonicalEquiv_coeIdeal (I : Ideal R) : canonicalEquiv S P P' I = I := by ext simp [IsLocalization.map_eq] #align fractional_ideal.canonical_equiv_coe_ideal FractionalIdeal.canonicalEquiv_coeIdeal @[simp] theorem canonicalEquiv_self : canonicalEquiv S P P = RingEquiv.refl _ := by rw [← canonicalEquiv_trans_canonicalEquiv S P P] convert (canonicalEquiv S P P).symm_trans_self exact (canonicalEquiv_symm S P P).symm #align fractional_ideal.canonical_equiv_self FractionalIdeal.canonicalEquiv_self end variable {R₁ : Type*} [CommRing R₁] variable {K : Type*} [Field K] [Algebra R₁ K] [frac : IsFractionRing R₁ K] attribute [local instance] Classical.propDecidable theorem isNoetherian_zero : IsNoetherian R₁ (0 : FractionalIdeal R₁⁰ K) := isNoetherian_submodule.mpr fun I (hI : I ≤ (0 : FractionalIdeal R₁⁰ K)) => by rw [coe_zero, le_bot_iff] at hI rw [hI] exact fg_bot #align fractional_ideal.is_noetherian_zero FractionalIdeal.isNoetherian_zero theorem isNoetherian_iff {I : FractionalIdeal R₁⁰ K} : IsNoetherian R₁ I ↔ ∀ J ≤ I, (J : Submodule R₁ K).FG := isNoetherian_submodule.trans ⟨fun h _ hJ => h _ hJ, fun h J hJ => h ⟨J, isFractional_of_le hJ⟩ hJ⟩ #align fractional_ideal.is_noetherian_iff FractionalIdeal.isNoetherian_iff
Mathlib/RingTheory/FractionalIdeal/Operations.lean
930
935
theorem isNoetherian_coeIdeal [IsNoetherianRing R₁] (I : Ideal R₁) : IsNoetherian R₁ (I : FractionalIdeal R₁⁰ K) := by
rw [isNoetherian_iff] intro J hJ obtain ⟨J, rfl⟩ := le_one_iff_exists_coeIdeal.mp (le_trans hJ coeIdeal_le_one) exact (IsNoetherian.noetherian J).map _
import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Data.Nat.SuccPred #align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7" assert_not_exists Field assert_not_exists Module noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop} @[simp] theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_add Ordinal.lift_add @[simp] theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by rw [← add_one_eq_succ, lift_add, lift_one] rfl #align ordinal.lift_succ Ordinal.lift_succ instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) := ⟨fun a b c => inductionOn a fun α r hr => inductionOn b fun β₁ s₁ hs₁ => inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ => ⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using @InitialSeg.eq _ _ _ _ _ ((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by intro b; cases e : f (Sum.inr b) · rw [← fl] at e have := f.inj' e contradiction · exact ⟨_, rfl⟩ let g (b) := (this b).1 have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2 ⟨⟨⟨g, fun x y h => by injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩, @fun a b => by -- Porting note: -- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding` -- → `InitialSeg.coe_coe_fn` simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using @RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩, fun a b H => by rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩ · rw [fl] at h cases h · rw [fr] at h exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩ #align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by simp only [le_antisymm_iff, add_le_add_iff_left] #align ordinal.add_left_cancel Ordinal.add_left_cancel private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by rw [← not_le, ← not_le, add_le_add_iff_left] instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩ #align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩ #align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt instance add_swap_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) := ⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩ #align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b | 0 => by simp | n + 1 => by simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right] #align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by simp only [le_antisymm_iff, add_le_add_iff_right] #align ordinal.add_right_cancel Ordinal.add_right_cancel theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 := inductionOn a fun α r _ => inductionOn b fun β s _ => by simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty] exact isEmpty_sum #align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 := (add_eq_zero_iff.1 h).1 #align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 := (add_eq_zero_iff.1 h).2 #align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero def pred (o : Ordinal) : Ordinal := if h : ∃ a, o = succ a then Classical.choose h else o #align ordinal.pred Ordinal.pred @[simp] theorem pred_succ (o) : pred (succ o) = o := by have h : ∃ a, succ o = succ a := ⟨_, rfl⟩; simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm #align ordinal.pred_succ Ordinal.pred_succ theorem pred_le_self (o) : pred o ≤ o := if h : ∃ a, o = succ a then by let ⟨a, e⟩ := h rw [e, pred_succ]; exact le_succ a else by rw [pred, dif_neg h] #align ordinal.pred_le_self Ordinal.pred_le_self theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a := ⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩ #align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by simpa using pred_eq_iff_not_succ #align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ' theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a := Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le]) (iff_not_comm.1 pred_eq_iff_not_succ).symm #align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ @[simp] theorem pred_zero : pred 0 = 0 := pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm #align ordinal.pred_zero Ordinal.pred_zero theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a := ⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩ #align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o := ⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩ #align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ theorem lt_pred {a b} : a < pred b ↔ succ a < b := if h : ∃ a, b = succ a then by let ⟨c, e⟩ := h rw [e, pred_succ, succ_lt_succ_iff] else by simp only [pred, dif_neg h, succ_lt_of_not_succ h] #align ordinal.lt_pred Ordinal.lt_pred theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b := le_iff_le_iff_lt_iff_lt.2 lt_pred #align ordinal.pred_le Ordinal.pred_le @[simp] theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a := ⟨fun ⟨a, h⟩ => let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a ⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩, fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩ #align ordinal.lift_is_succ Ordinal.lift_is_succ @[simp] theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) := if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ] else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)] #align ordinal.lift_pred Ordinal.lift_pred def IsLimit (o : Ordinal) : Prop := o ≠ 0 ∧ ∀ a < o, succ a < o #align ordinal.is_limit Ordinal.IsLimit theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2 theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o := h.2 a #align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot theorem not_zero_isLimit : ¬IsLimit 0 | ⟨h, _⟩ => h rfl #align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit theorem not_succ_isLimit (o) : ¬IsLimit (succ o) | ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o)) #align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a | ⟨a, e⟩ => not_succ_isLimit a (e ▸ h) #align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o := ⟨(lt_succ a).trans, h.2 _⟩ #align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a := le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h #align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a := ⟨fun h _x l => l.le.trans h, fun H => (le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩ #align ordinal.limit_le Ordinal.limit_le theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a) #align ordinal.lt_limit Ordinal.lt_limit @[simp] theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o := and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0) ⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by obtain ⟨a', rfl⟩ := lift_down h.le rw [← lift_succ, lift_lt] exact H a' (lift_lt.1 h)⟩ #align ordinal.lift_is_limit Ordinal.lift_isLimit theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o := lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm #align ordinal.is_limit.pos Ordinal.IsLimit.pos theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by simpa only [succ_zero] using h.2 _ h.pos #align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o | 0 => h.pos | n + 1 => h.2 _ (IsLimit.nat_lt h n) #align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o := if o0 : o = 0 then Or.inl o0 else if h : ∃ a, o = succ a then Or.inr (Or.inl h) else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩ #align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit @[elab_as_elim] def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o)) (H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o := SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦ if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩ #align ordinal.limit_rec_on Ordinal.limitRecOn @[simp] theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl] #align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero @[simp] theorem limitRecOn_succ {C} (o H₁ H₂ H₃) : @limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)] #align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ @[simp] theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) : @limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1] #align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α := @OrderTop.mk _ _ (Top.mk _) le_enum_succ #align ordinal.order_top_out_succ Ordinal.orderTopOutSucc theorem enum_succ_eq_top {o : Ordinal} : enum (· < ·) o (by rw [type_lt] exact lt_succ o) = (⊤ : (succ o).out.α) := rfl #align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r] (h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by use enum r (succ (typein r x)) (h _ (typein_lt_type r x)) convert (enum_lt_enum (typein_lt_type r x) (h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein] #align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α := ⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩ #align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) : Bounded r {x} := by refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩ intro b hb rw [mem_singleton_iff.1 hb] nth_rw 1 [← enum_typein r x] rw [@enum_lt_enum _ r] apply lt_succ #align ordinal.bounded_singleton Ordinal.bounded_singleton -- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance. theorem type_subrel_lt (o : Ordinal.{u}) : type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o }) = Ordinal.lift.{u + 1} o := by refine Quotient.inductionOn o ?_ rintro ⟨α, r, wo⟩; apply Quotient.sound -- Porting note: `symm; refine' [term]` → `refine' [term].symm` constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm #align ordinal.type_subrel_lt Ordinal.type_subrel_lt theorem mk_initialSeg (o : Ordinal.{u}) : #{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by rw [lift_card, ← type_subrel_lt, card_type] #align ordinal.mk_initial_seg Ordinal.mk_initialSeg def IsNormal (f : Ordinal → Ordinal) : Prop := (∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a #align ordinal.is_normal Ordinal.IsNormal theorem IsNormal.limit_le {f} (H : IsNormal f) : ∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a := @H.2 #align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} : a < f o ↔ ∃ b < o, a < f b := not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a #align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b => limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _)) (fun _b IH h => (lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _) fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h)) #align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f := H.strictMono.monotone #align ordinal.is_normal.monotone Ordinal.IsNormal.monotone theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) : IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a := ⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ => ⟨fun a => hs (lt_succ a), fun a ha c => ⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩ #align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b := StrictMono.lt_iff_lt <| H.strictMono #align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b := le_iff_le_iff_lt_iff_lt.2 H.lt_iff #align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by simp only [le_antisymm_iff, H.le_iff] #align ordinal.is_normal.inj Ordinal.IsNormal.inj theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a := lt_wf.self_le_of_strictMono H.strictMono a #align ordinal.is_normal.self_le Ordinal.IsNormal.self_le theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o := ⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by -- Porting note: `refine'` didn't work well so `induction` is used induction b using limitRecOn with | H₁ => cases' p0 with x px have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px) rw [this] at px exact h _ px | H₂ S _ => rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩ exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁) | H₃ S L _ => refine (H.2 _ L _).2 fun a h' => ?_ rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩ exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩ #align ordinal.is_normal.le_set Ordinal.IsNormal.le_set theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by simpa [H₂] using H.le_set (g '' p) (p0.image g) b #align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set' theorem IsNormal.refl : IsNormal id := ⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩ #align ordinal.is_normal.refl Ordinal.IsNormal.refl theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) := ⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a => H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩ #align ordinal.is_normal.trans Ordinal.IsNormal.trans theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) := ⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h => let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h (succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩ #align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a := (H.self_le a).le_iff_eq #align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c := ⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H => le_of_not_lt <| by -- Porting note: `induction` tactics are required because of the parser bug. induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => intro l suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by -- Porting note: `revert` & `intro` is required because `cases'` doesn't replace -- `enum _ _ l` in `this`. revert this; cases' enum _ _ l with x x <;> intro this · cases this (enum s 0 h.pos) · exact irrefl _ (this _) intro x rw [← typein_lt_typein (Sum.Lex r s), typein_enum] have := H _ (h.2 _ (typein_lt_type s x)) rw [add_succ, succ_le_iff] at this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨a | b, h⟩ · exact Sum.inl a · exact Sum.inr ⟨b, by cases h; assumption⟩ · rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;> rintro ⟨⟩ <;> constructor <;> assumption⟩ #align ordinal.add_le_of_limit Ordinal.add_le_of_limit theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) := ⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩ #align ordinal.add_is_normal Ordinal.add_isNormal theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) := (add_isNormal a).isLimit #align ordinal.add_is_limit Ordinal.add_isLimit alias IsLimit.add := add_isLimit #align ordinal.is_limit.add Ordinal.IsLimit.add theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty := ⟨a, le_add_left _ _⟩ #align ordinal.sub_nonempty Ordinal.sub_nonempty instance sub : Sub Ordinal := ⟨fun a b => sInf { o | a ≤ b + o }⟩ theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) := csInf_mem sub_nonempty #align ordinal.le_add_sub Ordinal.le_add_sub theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c := ⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩ #align ordinal.sub_le Ordinal.sub_le theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b := lt_iff_lt_of_le_iff_le sub_le #align ordinal.lt_sub Ordinal.lt_sub theorem add_sub_cancel (a b : Ordinal) : a + b - a = b := le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _) #align ordinal.add_sub_cancel Ordinal.add_sub_cancel theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b := h ▸ add_sub_cancel _ _ #align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq theorem sub_le_self (a b : Ordinal) : a - b ≤ a := sub_le.2 <| le_add_left _ _ #align ordinal.sub_le_self Ordinal.sub_le_self protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a := (le_add_sub a b).antisymm' (by rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l) · simp only [e, add_zero, h] · rw [e, add_succ, succ_le_iff, ← lt_sub, e] exact lt_succ c · exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le) #align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h] #align ordinal.le_sub_of_le Ordinal.le_sub_of_le theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c := lt_iff_lt_of_le_iff_le (le_sub_of_le h) #align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le instance existsAddOfLE : ExistsAddOfLE Ordinal := ⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩ @[simp] theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a #align ordinal.sub_zero Ordinal.sub_zero @[simp] theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self #align ordinal.zero_sub Ordinal.zero_sub @[simp] theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0 #align ordinal.sub_self Ordinal.sub_self protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b := ⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by rwa [← Ordinal.le_zero, sub_le, add_zero]⟩ #align ordinal.sub_eq_zero_iff_le Ordinal.sub_eq_zero_iff_le theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) := eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc] #align ordinal.sub_sub Ordinal.sub_sub @[simp] theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by rw [← sub_sub, add_sub_cancel] #align ordinal.add_sub_add_cancel Ordinal.add_sub_add_cancel theorem sub_isLimit {a b} (l : IsLimit a) (h : b < a) : IsLimit (a - b) := ⟨ne_of_gt <| lt_sub.2 <| by rwa [add_zero], fun c h => by rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩ #align ordinal.sub_is_limit Ordinal.sub_isLimit -- @[simp] -- Porting note (#10618): simp can prove this theorem one_add_omega : 1 + ω = ω := by refine le_antisymm ?_ (le_add_left _ _) rw [omega, ← lift_one.{_, 0}, ← lift_add, lift_le, ← type_unit, ← type_sum_lex] refine ⟨RelEmbedding.collapse (RelEmbedding.ofMonotone ?_ ?_)⟩ · apply Sum.rec · exact fun _ => 0 · exact Nat.succ · intro a b cases a <;> cases b <;> intro H <;> cases' H with _ _ H _ _ H <;> [exact H.elim; exact Nat.succ_pos _; exact Nat.succ_lt_succ H] #align ordinal.one_add_omega Ordinal.one_add_omega @[simp] theorem one_add_of_omega_le {o} (h : ω ≤ o) : 1 + o = o := by rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, one_add_omega] #align ordinal.one_add_of_omega_le Ordinal.one_add_of_omega_le instance monoid : Monoid Ordinal.{u} where mul a b := Quotient.liftOn₂ a b (fun ⟨α, r, wo⟩ ⟨β, s, wo'⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ : WellOrder → WellOrder → Ordinal) fun ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩ => Quot.sound ⟨RelIso.prodLexCongr g f⟩ one := 1 mul_assoc a b c := Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ => Eq.symm <| Quotient.sound ⟨⟨prodAssoc _ _ _, @fun a b => by rcases a with ⟨⟨a₁, a₂⟩, a₃⟩ rcases b with ⟨⟨b₁, b₂⟩, b₃⟩ simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩ mul_one a := inductionOn a fun α r _ => Quotient.sound ⟨⟨punitProd _, @fun a b => by rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩ simp only [Prod.lex_def, EmptyRelation, false_or_iff] simp only [eq_self_iff_true, true_and_iff] rfl⟩⟩ one_mul a := inductionOn a fun α r _ => Quotient.sound ⟨⟨prodPUnit _, @fun a b => by rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩ simp only [Prod.lex_def, EmptyRelation, and_false_iff, or_false_iff] rfl⟩⟩ @[simp] theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r] [IsWellOrder β s] : type (Prod.Lex s r) = type r * type s := rfl #align ordinal.type_prod_lex Ordinal.type_prod_lex private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 := inductionOn a fun α _ _ => inductionOn b fun β _ _ => by simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty] rw [or_comm] exact isEmpty_prod instance monoidWithZero : MonoidWithZero Ordinal := { Ordinal.monoid with zero := 0 mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl } instance noZeroDivisors : NoZeroDivisors Ordinal := ⟨fun {_ _} => mul_eq_zero'.1⟩ @[simp] theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_mul Ordinal.lift_mul @[simp] theorem card_mul (a b) : card (a * b) = card a * card b := Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α #align ordinal.card_mul Ordinal.card_mul instance leftDistribClass : LeftDistribClass Ordinal.{u} := ⟨fun a b c => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ => Quotient.sound ⟨⟨sumProdDistrib _ _ _, by rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;> simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl, Sum.lex_inr_inr, sumProdDistrib_apply_left, sumProdDistrib_apply_right] <;> -- Porting note: `Sum.inr.inj_iff` is required. simp only [Sum.inl.inj_iff, Sum.inr.inj_iff, true_or_iff, false_and_iff, false_or_iff]⟩⟩⟩ theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a := mul_add_one a b #align ordinal.mul_succ Ordinal.mul_succ instance mul_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· * ·) (· ≤ ·) := ⟨fun c a b => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by refine (RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h' · exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h') · exact Prod.Lex.right _ h'⟩ #align ordinal.mul_covariant_class_le Ordinal.mul_covariantClass_le instance mul_swap_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (swap (· * ·)) (· ≤ ·) := ⟨fun c a b => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by refine (RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h' · exact Prod.Lex.left _ _ h' · exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩ #align ordinal.mul_swap_covariant_class_le Ordinal.mul_swap_covariantClass_le theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by convert mul_le_mul_left' (one_le_iff_pos.2 hb) a rw [mul_one a] #align ordinal.le_mul_left Ordinal.le_mul_left theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by convert mul_le_mul_right' (one_le_iff_pos.2 hb) a rw [one_mul a] #align ordinal.le_mul_right Ordinal.le_mul_right private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c} (h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) : False := by suffices ∀ a b, Prod.Lex s r (b, a) (enum _ _ l) by cases' enum _ _ l with b a exact irrefl _ (this _ _) intro a b rw [← typein_lt_typein (Prod.Lex s r), typein_enum] have := H _ (h.2 _ (typein_lt_type s b)) rw [mul_succ] at this have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨⟨b', a'⟩, h⟩ by_cases e : b = b' · refine Sum.inr ⟨a', ?_⟩ subst e cases' h with _ _ _ _ h _ _ _ h · exact (irrefl _ h).elim · exact h · refine Sum.inl (⟨b', ?_⟩, a') cases' h with _ _ _ _ h _ _ _ h · exact h · exact (e rfl).elim · rcases a with ⟨⟨b₁, a₁⟩, h₁⟩ rcases b with ⟨⟨b₂, a₂⟩, h₂⟩ intro h by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂ · substs b₁ b₂ simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and_iff, false_or_iff, eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h · subst b₁ simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true, or_false_iff, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and_iff] at h ⊢ cases' h₂ with _ _ _ _ h₂_h h₂_h <;> [exact asymm h h₂_h; exact e₂ rfl] -- Porting note: `cc` hadn't ported yet. · simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁] · simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk, Sum.lex_inl_inl] using h theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c := ⟨fun h b' l => (mul_le_mul_left' l.le _).trans h, fun H => -- Porting note: `induction` tactics are required because of the parser bug. le_of_not_lt <| by induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => exact mul_le_of_limit_aux h H⟩ #align ordinal.mul_le_of_limit Ordinal.mul_le_of_limit theorem mul_isNormal {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) := -- Porting note(#12129): additional beta reduction needed ⟨fun b => by beta_reduce rw [mul_succ] simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h, fun b l c => mul_le_of_limit l⟩ #align ordinal.mul_is_normal Ordinal.mul_isNormal theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h) #align ordinal.lt_mul_of_limit Ordinal.lt_mul_of_limit theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c := (mul_isNormal a0).lt_iff #align ordinal.mul_lt_mul_iff_left Ordinal.mul_lt_mul_iff_left theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c := (mul_isNormal a0).le_iff #align ordinal.mul_le_mul_iff_left Ordinal.mul_le_mul_iff_left theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b := (mul_lt_mul_iff_left c0).2 h #align ordinal.mul_lt_mul_of_pos_left Ordinal.mul_lt_mul_of_pos_left theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁ #align ordinal.mul_pos Ordinal.mul_pos theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by simpa only [Ordinal.pos_iff_ne_zero] using mul_pos #align ordinal.mul_ne_zero Ordinal.mul_ne_zero theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b := le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h #align ordinal.le_of_mul_le_mul_left Ordinal.le_of_mul_le_mul_left theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c := (mul_isNormal a0).inj #align ordinal.mul_right_inj Ordinal.mul_right_inj theorem mul_isLimit {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) := (mul_isNormal a0).isLimit #align ordinal.mul_is_limit Ordinal.mul_isLimit theorem mul_isLimit_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb) · exact b0.false.elim · rw [mul_succ] exact add_isLimit _ l · exact mul_isLimit l.pos lb #align ordinal.mul_is_limit_left Ordinal.mul_isLimit_left theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n | 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero] | n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n] #align ordinal.smul_eq_mul Ordinal.smul_eq_mul theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty := ⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by simpa only [succ_zero, one_mul] using mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩ #align ordinal.div_nonempty Ordinal.div_nonempty instance div : Div Ordinal := ⟨fun a b => if _h : b = 0 then 0 else sInf { o | a < b * succ o }⟩ @[simp] theorem div_zero (a : Ordinal) : a / 0 = 0 := dif_pos rfl #align ordinal.div_zero Ordinal.div_zero theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } := dif_neg h #align ordinal.div_def Ordinal.div_def theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by rw [div_def a h]; exact csInf_mem (div_nonempty h) #align ordinal.lt_mul_succ_div Ordinal.lt_mul_succ_div theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by simpa only [mul_succ] using lt_mul_succ_div a h #align ordinal.lt_mul_div_add Ordinal.lt_mul_div_add theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c := ⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by rw [div_def a b0]; exact csInf_le' h⟩ #align ordinal.div_le Ordinal.div_le theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by rw [← not_le, div_le h, not_lt] #align ordinal.lt_div Ordinal.lt_div theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h] #align ordinal.div_pos Ordinal.div_pos theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by induction a using limitRecOn with | H₁ => simp only [mul_zero, Ordinal.zero_le] | H₂ _ _ => rw [succ_le_iff, lt_div c0] | H₃ _ h₁ h₂ => revert h₁ h₂ simp (config := { contextual := true }) only [mul_le_of_limit, limit_le, iff_self_iff, forall_true_iff] #align ordinal.le_div Ordinal.le_div theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c := lt_iff_lt_of_le_iff_le <| le_div b0 #align ordinal.div_lt Ordinal.div_lt theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c := if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le] else (div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0) #align ordinal.div_le_of_le_mul Ordinal.div_le_of_le_mul theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b := lt_imp_lt_of_le_imp_le div_le_of_le_mul #align ordinal.mul_lt_of_lt_div Ordinal.mul_lt_of_lt_div @[simp] theorem zero_div (a : Ordinal) : 0 / a = 0 := Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _ #align ordinal.zero_div Ordinal.zero_div theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a := if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl #align ordinal.mul_div_le Ordinal.mul_div_le theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by apply le_antisymm · apply (div_le b0).2 rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left] apply lt_mul_div_add _ b0 · rw [le_div b0, mul_add, add_le_add_iff_left] apply mul_div_le #align ordinal.mul_add_div Ordinal.mul_add_div theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h] simpa only [succ_zero, mul_one] using h #align ordinal.div_eq_zero_of_lt Ordinal.div_eq_zero_of_lt @[simp] theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by simpa only [add_zero, zero_div] using mul_add_div a b0 0 #align ordinal.mul_div_cancel Ordinal.mul_div_cancel @[simp] theorem div_one (a : Ordinal) : a / 1 = a := by simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero #align ordinal.div_one Ordinal.div_one @[simp] theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by simpa only [mul_one] using mul_div_cancel 1 h #align ordinal.div_self Ordinal.div_self theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c := if a0 : a = 0 then by simp only [a0, zero_mul, sub_self] else eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0] #align ordinal.mul_sub Ordinal.mul_sub theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by constructor <;> intro h · by_cases h' : b = 0 · rw [h', add_zero] at h right exact ⟨h', h⟩ left rw [← add_sub_cancel a b] apply sub_isLimit h suffices a + 0 < a + b by simpa only [add_zero] using this rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero] rcases h with (h | ⟨rfl, h⟩) · exact add_isLimit a h · simpa only [add_zero] #align ordinal.is_limit_add_iff Ordinal.isLimit_add_iff theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c) | a, _, c, ⟨b, rfl⟩ => ⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by rw [e, ← mul_add] apply dvd_mul_right⟩ #align ordinal.dvd_add_iff Ordinal.dvd_add_iff theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b | a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0] #align ordinal.div_mul_cancel Ordinal.div_mul_cancel theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b -- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e` | a, _, b0, ⟨b, e⟩ => by subst e -- Porting note: `Ne` is required. simpa only [mul_one] using mul_le_mul_left' (one_le_iff_ne_zero.2 fun h : b = 0 => by simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a #align ordinal.le_of_dvd Ordinal.le_of_dvd theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b := if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm else if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂ else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂) #align ordinal.dvd_antisymm Ordinal.dvd_antisymm instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) := ⟨@dvd_antisymm⟩ instance mod : Mod Ordinal := ⟨fun a b => a - b * (a / b)⟩ theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) := rfl #align ordinal.mod_def Ordinal.mod_def theorem mod_le (a b : Ordinal) : a % b ≤ a := sub_le_self a _ #align ordinal.mod_le Ordinal.mod_le @[simp] theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero] #align ordinal.mod_zero Ordinal.mod_zero theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero] #align ordinal.mod_eq_of_lt Ordinal.mod_eq_of_lt @[simp] theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self] #align ordinal.zero_mod Ordinal.zero_mod theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a := Ordinal.add_sub_cancel_of_le <| mul_div_le _ _ #align ordinal.div_add_mod Ordinal.div_add_mod theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b := (add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h #align ordinal.mod_lt Ordinal.mod_lt @[simp] theorem mod_self (a : Ordinal) : a % a = 0 := if a0 : a = 0 then by simp only [a0, zero_mod] else by simp only [mod_def, div_self a0, mul_one, sub_self] #align ordinal.mod_self Ordinal.mod_self @[simp] theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self] #align ordinal.mod_one Ordinal.mod_one theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a := ⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩ #align ordinal.dvd_of_mod_eq_zero Ordinal.dvd_of_mod_eq_zero theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by rcases H with ⟨c, rfl⟩ rcases eq_or_ne b 0 with (rfl | hb) · simp · simp [mod_def, hb] #align ordinal.mod_eq_zero_of_dvd Ordinal.mod_eq_zero_of_dvd theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 := ⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩ #align ordinal.dvd_iff_mod_eq_zero Ordinal.dvd_iff_mod_eq_zero @[simp] theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by rcases eq_or_ne x 0 with rfl | hx · simp · rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def] #align ordinal.mul_add_mod_self Ordinal.mul_add_mod_self @[simp] theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by simpa using mul_add_mod_self x y 0 #align ordinal.mul_mod Ordinal.mul_mod theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by nth_rw 2 [← div_add_mod a b] rcases h with ⟨d, rfl⟩ rw [mul_assoc, mul_add_mod_self] #align ordinal.mod_mod_of_dvd Ordinal.mod_mod_of_dvd @[simp] theorem mod_mod (a b : Ordinal) : a % b % b = a % b := mod_mod_of_dvd a dvd_rfl #align ordinal.mod_mod Ordinal.mod_mod def bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) : ∀ a < type r, α := fun a ha => f (enum r a ha) #align ordinal.bfamily_of_family' Ordinal.bfamilyOfFamily' def bfamilyOfFamily {ι : Type u} : (ι → α) → ∀ a < type (@WellOrderingRel ι), α := bfamilyOfFamily' WellOrderingRel #align ordinal.bfamily_of_family Ordinal.bfamilyOfFamily def familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) : ι → α := fun i => f (typein r i) (by rw [← ho] exact typein_lt_type r i) #align ordinal.family_of_bfamily' Ordinal.familyOfBFamily' def familyOfBFamily (o : Ordinal) (f : ∀ a < o, α) : o.out.α → α := familyOfBFamily' (· < ·) (type_lt o) f #align ordinal.family_of_bfamily Ordinal.familyOfBFamily @[simp] theorem bfamilyOfFamily'_typein {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (i) : bfamilyOfFamily' r f (typein r i) (typein_lt_type r i) = f i := by simp only [bfamilyOfFamily', enum_typein] #align ordinal.bfamily_of_family'_typein Ordinal.bfamilyOfFamily'_typein @[simp] theorem bfamilyOfFamily_typein {ι} (f : ι → α) (i) : bfamilyOfFamily f (typein _ i) (typein_lt_type _ i) = f i := bfamilyOfFamily'_typein _ f i #align ordinal.bfamily_of_family_typein Ordinal.bfamilyOfFamily_typein @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem familyOfBFamily'_enum {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) (i hi) : familyOfBFamily' r ho f (enum r i (by rwa [ho])) = f i hi := by simp only [familyOfBFamily', typein_enum] #align ordinal.family_of_bfamily'_enum Ordinal.familyOfBFamily'_enum @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem familyOfBFamily_enum (o : Ordinal) (f : ∀ a < o, α) (i hi) : familyOfBFamily o f (enum (· < ·) i (by convert hi exact type_lt _)) = f i hi := familyOfBFamily'_enum _ (type_lt o) f _ _ #align ordinal.family_of_bfamily_enum Ordinal.familyOfBFamily_enum def brange (o : Ordinal) (f : ∀ a < o, α) : Set α := { a | ∃ i hi, f i hi = a } #align ordinal.brange Ordinal.brange theorem mem_brange {o : Ordinal} {f : ∀ a < o, α} {a} : a ∈ brange o f ↔ ∃ i hi, f i hi = a := Iff.rfl #align ordinal.mem_brange Ordinal.mem_brange theorem mem_brange_self {o} (f : ∀ a < o, α) (i hi) : f i hi ∈ brange o f := ⟨i, hi, rfl⟩ #align ordinal.mem_brange_self Ordinal.mem_brange_self @[simp] theorem range_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) : range (familyOfBFamily' r ho f) = brange o f := by refine Set.ext fun a => ⟨?_, ?_⟩ · rintro ⟨b, rfl⟩ apply mem_brange_self · rintro ⟨i, hi, rfl⟩ exact ⟨_, familyOfBFamily'_enum _ _ _ _ _⟩ #align ordinal.range_family_of_bfamily' Ordinal.range_familyOfBFamily' @[simp] theorem range_familyOfBFamily {o} (f : ∀ a < o, α) : range (familyOfBFamily o f) = brange o f := range_familyOfBFamily' _ _ f #align ordinal.range_family_of_bfamily Ordinal.range_familyOfBFamily @[simp] theorem brange_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) : brange _ (bfamilyOfFamily' r f) = range f := by refine Set.ext fun a => ⟨?_, ?_⟩ · rintro ⟨i, hi, rfl⟩ apply mem_range_self · rintro ⟨b, rfl⟩ exact ⟨_, _, bfamilyOfFamily'_typein _ _ _⟩ #align ordinal.brange_bfamily_of_family' Ordinal.brange_bfamilyOfFamily' @[simp] theorem brange_bfamilyOfFamily {ι : Type u} (f : ι → α) : brange _ (bfamilyOfFamily f) = range f := brange_bfamilyOfFamily' _ _ #align ordinal.brange_bfamily_of_family Ordinal.brange_bfamilyOfFamily @[simp] theorem brange_const {o : Ordinal} (ho : o ≠ 0) {c : α} : (brange o fun _ _ => c) = {c} := by rw [← range_familyOfBFamily] exact @Set.range_const _ o.out.α (out_nonempty_iff_ne_zero.2 ho) c #align ordinal.brange_const Ordinal.brange_const theorem comp_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (g : α → β) : (fun i hi => g (bfamilyOfFamily' r f i hi)) = bfamilyOfFamily' r (g ∘ f) := rfl #align ordinal.comp_bfamily_of_family' Ordinal.comp_bfamilyOfFamily' theorem comp_bfamilyOfFamily {ι : Type u} (f : ι → α) (g : α → β) : (fun i hi => g (bfamilyOfFamily f i hi)) = bfamilyOfFamily (g ∘ f) := rfl #align ordinal.comp_bfamily_of_family Ordinal.comp_bfamilyOfFamily theorem comp_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) (g : α → β) : g ∘ familyOfBFamily' r ho f = familyOfBFamily' r ho fun i hi => g (f i hi) := rfl #align ordinal.comp_family_of_bfamily' Ordinal.comp_familyOfBFamily' theorem comp_familyOfBFamily {o} (f : ∀ a < o, α) (g : α → β) : g ∘ familyOfBFamily o f = familyOfBFamily o fun i hi => g (f i hi) := rfl #align ordinal.comp_family_of_bfamily Ordinal.comp_familyOfBFamily -- Porting note: Universes should be specified in `sup`s. def sup {ι : Type u} (f : ι → Ordinal.{max u v}) : Ordinal.{max u v} := iSup f #align ordinal.sup Ordinal.sup @[simp] theorem sSup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : sSup (Set.range f) = sup.{_, v} f := rfl #align ordinal.Sup_eq_sup Ordinal.sSup_eq_sup theorem bddAbove_range {ι : Type u} (f : ι → Ordinal.{max u v}) : BddAbove (Set.range f) := ⟨(iSup (succ ∘ card ∘ f)).ord, by rintro a ⟨i, rfl⟩ exact le_of_lt (Cardinal.lt_ord.2 ((lt_succ _).trans_le (le_ciSup (Cardinal.bddAbove_range.{_, v} _) _)))⟩ #align ordinal.bdd_above_range Ordinal.bddAbove_range theorem le_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : ∀ i, f i ≤ sup.{_, v} f := fun i => le_csSup (bddAbove_range.{_, v} f) (mem_range_self i) #align ordinal.le_sup Ordinal.le_sup theorem sup_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : sup.{_, v} f ≤ a ↔ ∀ i, f i ≤ a := (csSup_le_iff' (bddAbove_range.{_, v} f)).trans (by simp) #align ordinal.sup_le_iff Ordinal.sup_le_iff theorem sup_le {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : (∀ i, f i ≤ a) → sup.{_, v} f ≤ a := sup_le_iff.2 #align ordinal.sup_le Ordinal.sup_le theorem lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : a < sup.{_, v} f ↔ ∃ i, a < f i := by simpa only [not_forall, not_le] using not_congr (@sup_le_iff.{_, v} _ f a) #align ordinal.lt_sup Ordinal.lt_sup theorem ne_sup_iff_lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} : (∀ i, f i ≠ sup.{_, v} f) ↔ ∀ i, f i < sup.{_, v} f := ⟨fun hf _ => lt_of_le_of_ne (le_sup _ _) (hf _), fun hf _ => ne_of_lt (hf _)⟩ #align ordinal.ne_sup_iff_lt_sup Ordinal.ne_sup_iff_lt_sup theorem sup_not_succ_of_ne_sup {ι : Type u} {f : ι → Ordinal.{max u v}} (hf : ∀ i, f i ≠ sup.{_, v} f) {a} (hao : a < sup.{_, v} f) : succ a < sup.{_, v} f := by by_contra! hoa exact hao.not_le (sup_le fun i => le_of_lt_succ <| (lt_of_le_of_ne (le_sup _ _) (hf i)).trans_le hoa) #align ordinal.sup_not_succ_of_ne_sup Ordinal.sup_not_succ_of_ne_sup @[simp] theorem sup_eq_zero_iff {ι : Type u} {f : ι → Ordinal.{max u v}} : sup.{_, v} f = 0 ↔ ∀ i, f i = 0 := by refine ⟨fun h i => ?_, fun h => le_antisymm (sup_le fun i => Ordinal.le_zero.2 (h i)) (Ordinal.zero_le _)⟩ rw [← Ordinal.le_zero, ← h] exact le_sup f i #align ordinal.sup_eq_zero_iff Ordinal.sup_eq_zero_iff theorem IsNormal.sup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f) {ι : Type u} (g : ι → Ordinal.{max u v}) [Nonempty ι] : f (sup.{_, v} g) = sup.{_, w} (f ∘ g) := eq_of_forall_ge_iff fun a => by rw [sup_le_iff]; simp only [comp]; rw [H.le_set' Set.univ Set.univ_nonempty g] <;> simp [sup_le_iff] #align ordinal.is_normal.sup Ordinal.IsNormal.sup @[simp] theorem sup_empty {ι} [IsEmpty ι] (f : ι → Ordinal) : sup f = 0 := ciSup_of_empty f #align ordinal.sup_empty Ordinal.sup_empty @[simp] theorem sup_const {ι} [_hι : Nonempty ι] (o : Ordinal) : (sup fun _ : ι => o) = o := ciSup_const #align ordinal.sup_const Ordinal.sup_const @[simp] theorem sup_unique {ι} [Unique ι] (f : ι → Ordinal) : sup f = f default := ciSup_unique #align ordinal.sup_unique Ordinal.sup_unique theorem sup_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal} (h : Set.range f ⊆ Set.range g) : sup.{u, max v w} f ≤ sup.{v, max u w} g := sup_le fun i => match h (mem_range_self i) with | ⟨_j, hj⟩ => hj ▸ le_sup _ _ #align ordinal.sup_le_of_range_subset Ordinal.sup_le_of_range_subset theorem sup_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal} (h : Set.range f = Set.range g) : sup.{u, max v w} f = sup.{v, max u w} g := (sup_le_of_range_subset.{u, v, w} h.le).antisymm (sup_le_of_range_subset.{v, u, w} h.ge) #align ordinal.sup_eq_of_range_eq Ordinal.sup_eq_of_range_eq @[simp] theorem sup_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) : sup.{max u v, w} f = max (sup.{u, max v w} fun a => f (Sum.inl a)) (sup.{v, max u w} fun b => f (Sum.inr b)) := by apply (sup_le_iff.2 _).antisymm (max_le_iff.2 ⟨_, _⟩) · rintro (i | i) · exact le_max_of_le_left (le_sup _ i) · exact le_max_of_le_right (le_sup _ i) all_goals apply sup_le_of_range_subset.{_, max u v, w} rintro i ⟨a, rfl⟩ apply mem_range_self #align ordinal.sup_sum Ordinal.sup_sum theorem unbounded_range_of_sup_ge {α β : Type u} (r : α → α → Prop) [IsWellOrder α r] (f : β → α) (h : type r ≤ sup.{u, u} (typein r ∘ f)) : Unbounded r (range f) := (not_bounded_iff _).1 fun ⟨x, hx⟩ => not_lt_of_le h <| lt_of_le_of_lt (sup_le fun y => le_of_lt <| (typein_lt_typein r).2 <| hx _ <| mem_range_self y) (typein_lt_type r x) #align ordinal.unbounded_range_of_sup_ge Ordinal.unbounded_range_of_sup_ge theorem le_sup_shrink_equiv {s : Set Ordinal.{u}} (hs : Small.{u} s) (a) (ha : a ∈ s) : a ≤ sup.{u, u} fun x => ((@equivShrink s hs).symm x).val := by convert le_sup.{u, u} (fun x => ((@equivShrink s hs).symm x).val) ((@equivShrink s hs) ⟨a, ha⟩) rw [symm_apply_apply] #align ordinal.le_sup_shrink_equiv Ordinal.le_sup_shrink_equiv instance small_Iio (o : Ordinal.{u}) : Small.{u} (Set.Iio o) := let f : o.out.α → Set.Iio o := fun x => ⟨typein ((· < ·) : o.out.α → o.out.α → Prop) x, typein_lt_self x⟩ let hf : Surjective f := fun b => ⟨enum (· < ·) b.val (by rw [type_lt] exact b.prop), Subtype.ext (typein_enum _ _)⟩ small_of_surjective hf #align ordinal.small_Iio Ordinal.small_Iio instance small_Iic (o : Ordinal.{u}) : Small.{u} (Set.Iic o) := by rw [← Iio_succ] infer_instance #align ordinal.small_Iic Ordinal.small_Iic theorem bddAbove_iff_small {s : Set Ordinal.{u}} : BddAbove s ↔ Small.{u} s := ⟨fun ⟨a, h⟩ => small_subset <| show s ⊆ Iic a from fun _x hx => h hx, fun h => ⟨sup.{u, u} fun x => ((@equivShrink s h).symm x).val, le_sup_shrink_equiv h⟩⟩ #align ordinal.bdd_above_iff_small Ordinal.bddAbove_iff_small theorem bddAbove_of_small (s : Set Ordinal.{u}) [h : Small.{u} s] : BddAbove s := bddAbove_iff_small.2 h #align ordinal.bdd_above_of_small Ordinal.bddAbove_of_small theorem sup_eq_sSup {s : Set Ordinal.{u}} (hs : Small.{u} s) : (sup.{u, u} fun x => (@equivShrink s hs).symm x) = sSup s := let hs' := bddAbove_iff_small.2 hs ((csSup_le_iff' hs').2 (le_sup_shrink_equiv hs)).antisymm' (sup_le fun _x => le_csSup hs' (Subtype.mem _)) #align ordinal.sup_eq_Sup Ordinal.sup_eq_sSup theorem sSup_ord {s : Set Cardinal.{u}} (hs : BddAbove s) : (sSup s).ord = sSup (ord '' s) := eq_of_forall_ge_iff fun a => by rw [csSup_le_iff' (bddAbove_iff_small.2 (@small_image _ _ _ s (Cardinal.bddAbove_iff_small.1 hs))), ord_le, csSup_le_iff' hs] simp [ord_le] #align ordinal.Sup_ord Ordinal.sSup_ord theorem iSup_ord {ι} {f : ι → Cardinal} (hf : BddAbove (range f)) : (iSup f).ord = ⨆ i, (f i).ord := by unfold iSup convert sSup_ord hf -- Porting note: `change` is required. conv_lhs => change range (ord ∘ f) rw [range_comp] #align ordinal.supr_ord Ordinal.iSup_ord private theorem sup_le_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r] [IsWellOrder ι' r'] {o} (ho : type r = o) (ho' : type r' = o) (f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily' r ho f) ≤ sup.{_, v} (familyOfBFamily' r' ho' f) := sup_le fun i => by cases' typein_surj r' (by rw [ho', ← ho] exact typein_lt_type r i) with j hj simp_rw [familyOfBFamily', ← hj] apply le_sup theorem sup_eq_sup {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r] [IsWellOrder ι' r'] {o : Ordinal.{u}} (ho : type r = o) (ho' : type r' = o) (f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily' r ho f) = sup.{_, v} (familyOfBFamily' r' ho' f) := sup_eq_of_range_eq.{u, u, v} (by simp) #align ordinal.sup_eq_sup Ordinal.sup_eq_sup def bsup (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : Ordinal.{max u v} := sup.{_, v} (familyOfBFamily o f) #align ordinal.bsup Ordinal.bsup @[simp] theorem sup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily o f) = bsup.{_, v} o f := rfl #align ordinal.sup_eq_bsup Ordinal.sup_eq_bsup @[simp] theorem sup_eq_bsup' {o : Ordinal.{u}} {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (ho : type r = o) (f : ∀ a < o, Ordinal.{max u v}) : sup.{_, v} (familyOfBFamily' r ho f) = bsup.{_, v} o f := sup_eq_sup r _ ho _ f #align ordinal.sup_eq_bsup' Ordinal.sup_eq_bsup' @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem sSup_eq_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) : sSup (brange o f) = bsup.{_, v} o f := by congr rw [range_familyOfBFamily] #align ordinal.Sup_eq_bsup Ordinal.sSup_eq_bsup @[simp] theorem bsup_eq_sup' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → Ordinal.{max u v}) : bsup.{_, v} _ (bfamilyOfFamily' r f) = sup.{_, v} f := by simp (config := { unfoldPartialApp := true }) only [← sup_eq_bsup' r, enum_typein, familyOfBFamily', bfamilyOfFamily'] #align ordinal.bsup_eq_sup' Ordinal.bsup_eq_sup' theorem bsup_eq_bsup {ι : Type u} (r r' : ι → ι → Prop) [IsWellOrder ι r] [IsWellOrder ι r'] (f : ι → Ordinal.{max u v}) : bsup.{_, v} _ (bfamilyOfFamily' r f) = bsup.{_, v} _ (bfamilyOfFamily' r' f) := by rw [bsup_eq_sup', bsup_eq_sup'] #align ordinal.bsup_eq_bsup Ordinal.bsup_eq_bsup @[simp] theorem bsup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : bsup.{_, v} _ (bfamilyOfFamily f) = sup.{_, v} f := bsup_eq_sup' _ f #align ordinal.bsup_eq_sup Ordinal.bsup_eq_sup @[congr] theorem bsup_congr {o₁ o₂ : Ordinal.{u}} (f : ∀ a < o₁, Ordinal.{max u v}) (ho : o₁ = o₂) : bsup.{_, v} o₁ f = bsup.{_, v} o₂ fun a h => f a (h.trans_eq ho.symm) := by subst ho -- Porting note: `rfl` is required. rfl #align ordinal.bsup_congr Ordinal.bsup_congr theorem bsup_le_iff {o f a} : bsup.{u, v} o f ≤ a ↔ ∀ i h, f i h ≤ a := sup_le_iff.trans ⟨fun h i hi => by rw [← familyOfBFamily_enum o f] exact h _, fun h i => h _ _⟩ #align ordinal.bsup_le_iff Ordinal.bsup_le_iff theorem bsup_le {o : Ordinal} {f : ∀ b < o, Ordinal} {a} : (∀ i h, f i h ≤ a) → bsup.{u, v} o f ≤ a := bsup_le_iff.2 #align ordinal.bsup_le Ordinal.bsup_le theorem le_bsup {o} (f : ∀ a < o, Ordinal) (i h) : f i h ≤ bsup o f := bsup_le_iff.1 le_rfl _ _ #align ordinal.le_bsup Ordinal.le_bsup theorem lt_bsup {o : Ordinal.{u}} (f : ∀ a < o, Ordinal.{max u v}) {a} : a < bsup.{_, v} o f ↔ ∃ i hi, a < f i hi := by simpa only [not_forall, not_le] using not_congr (@bsup_le_iff.{_, v} _ f a) #align ordinal.lt_bsup Ordinal.lt_bsup theorem IsNormal.bsup {f : Ordinal.{max u v} → Ordinal.{max u w}} (H : IsNormal f) {o : Ordinal.{u}} : ∀ (g : ∀ a < o, Ordinal), o ≠ 0 → f (bsup.{_, v} o g) = bsup.{_, w} o fun a h => f (g a h) := inductionOn o fun α r _ g h => by haveI := type_ne_zero_iff_nonempty.1 h rw [← sup_eq_bsup' r, IsNormal.sup.{_, v, w} H, ← sup_eq_bsup' r] <;> rfl #align ordinal.is_normal.bsup Ordinal.IsNormal.bsup theorem lt_bsup_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}} : (∀ i h, f i h ≠ bsup.{_, v} o f) ↔ ∀ i h, f i h < bsup.{_, v} o f := ⟨fun hf _ _ => lt_of_le_of_ne (le_bsup _ _ _) (hf _ _), fun hf _ _ => ne_of_lt (hf _ _)⟩ #align ordinal.lt_bsup_of_ne_bsup Ordinal.lt_bsup_of_ne_bsup theorem bsup_not_succ_of_ne_bsup {o : Ordinal.{u}} {f : ∀ a < o, Ordinal.{max u v}} (hf : ∀ {i : Ordinal} (h : i < o), f i h ≠ bsup.{_, v} o f) (a) : a < bsup.{_, v} o f → succ a < bsup.{_, v} o f := by rw [← sup_eq_bsup] at * exact sup_not_succ_of_ne_sup fun i => hf _ #align ordinal.bsup_not_succ_of_ne_bsup Ordinal.bsup_not_succ_of_ne_bsup @[simp] theorem bsup_eq_zero_iff {o} {f : ∀ a < o, Ordinal} : bsup o f = 0 ↔ ∀ i hi, f i hi = 0 := by refine ⟨fun h i hi => ?_, fun h => le_antisymm (bsup_le fun i hi => Ordinal.le_zero.2 (h i hi)) (Ordinal.zero_le _)⟩ rw [← Ordinal.le_zero, ← h] exact le_bsup f i hi #align ordinal.bsup_eq_zero_iff Ordinal.bsup_eq_zero_iff theorem lt_bsup_of_limit {o : Ordinal} {f : ∀ a < o, Ordinal} (hf : ∀ {a a'} (ha : a < o) (ha' : a' < o), a < a' → f a ha < f a' ha') (ho : ∀ a < o, succ a < o) (i h) : f i h < bsup o f := (hf _ _ <| lt_succ i).trans_le (le_bsup f (succ i) <| ho _ h) #align ordinal.lt_bsup_of_limit Ordinal.lt_bsup_of_limit theorem bsup_succ_of_mono {o : Ordinal} {f : ∀ a < succ o, Ordinal} (hf : ∀ {i j} (hi hj), i ≤ j → f i hi ≤ f j hj) : bsup _ f = f o (lt_succ o) := le_antisymm (bsup_le fun _i hi => hf _ _ <| le_of_lt_succ hi) (le_bsup _ _ _) #align ordinal.bsup_succ_of_mono Ordinal.bsup_succ_of_mono @[simp] theorem bsup_zero (f : ∀ a < (0 : Ordinal), Ordinal) : bsup 0 f = 0 := bsup_eq_zero_iff.2 fun i hi => (Ordinal.not_lt_zero i hi).elim #align ordinal.bsup_zero Ordinal.bsup_zero theorem bsup_const {o : Ordinal.{u}} (ho : o ≠ 0) (a : Ordinal.{max u v}) : (bsup.{_, v} o fun _ _ => a) = a := le_antisymm (bsup_le fun _ _ => le_rfl) (le_bsup _ 0 (Ordinal.pos_iff_ne_zero.2 ho)) #align ordinal.bsup_const Ordinal.bsup_const @[simp] theorem bsup_one (f : ∀ a < (1 : Ordinal), Ordinal) : bsup 1 f = f 0 zero_lt_one := by simp_rw [← sup_eq_bsup, sup_unique, familyOfBFamily, familyOfBFamily', typein_one_out] #align ordinal.bsup_one Ordinal.bsup_one theorem bsup_le_of_brange_subset {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal} (h : brange o f ⊆ brange o' g) : bsup.{u, max v w} o f ≤ bsup.{v, max u w} o' g := bsup_le fun i hi => by obtain ⟨j, hj, hj'⟩ := h ⟨i, hi, rfl⟩ rw [← hj'] apply le_bsup #align ordinal.bsup_le_of_brange_subset Ordinal.bsup_le_of_brange_subset theorem bsup_eq_of_brange_eq {o o'} {f : ∀ a < o, Ordinal} {g : ∀ a < o', Ordinal} (h : brange o f = brange o' g) : bsup.{u, max v w} o f = bsup.{v, max u w} o' g := (bsup_le_of_brange_subset.{u, v, w} h.le).antisymm (bsup_le_of_brange_subset.{v, u, w} h.ge) #align ordinal.bsup_eq_of_brange_eq Ordinal.bsup_eq_of_brange_eq def lsub {ι} (f : ι → Ordinal) : Ordinal := sup (succ ∘ f) #align ordinal.lsub Ordinal.lsub @[simp] theorem sup_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} (succ ∘ f) = lsub.{_, v} f := rfl #align ordinal.sup_eq_lsub Ordinal.sup_eq_lsub theorem lsub_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : lsub.{_, v} f ≤ a ↔ ∀ i, f i < a := by convert sup_le_iff.{_, v} (f := succ ∘ f) (a := a) using 2 -- Porting note: `comp_apply` is required. simp only [comp_apply, succ_le_iff] #align ordinal.lsub_le_iff Ordinal.lsub_le_iff theorem lsub_le {ι} {f : ι → Ordinal} {a} : (∀ i, f i < a) → lsub f ≤ a := lsub_le_iff.2 #align ordinal.lsub_le Ordinal.lsub_le theorem lt_lsub {ι} (f : ι → Ordinal) (i) : f i < lsub f := succ_le_iff.1 (le_sup _ i) #align ordinal.lt_lsub Ordinal.lt_lsub theorem lt_lsub_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : a < lsub.{_, v} f ↔ ∃ i, a ≤ f i := by simpa only [not_forall, not_lt, not_le] using not_congr (@lsub_le_iff.{_, v} _ f a) #align ordinal.lt_lsub_iff Ordinal.lt_lsub_iff theorem sup_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f ≤ lsub.{_, v} f := sup_le fun i => (lt_lsub f i).le #align ordinal.sup_le_lsub Ordinal.sup_le_lsub theorem lsub_le_sup_succ {ι : Type u} (f : ι → Ordinal.{max u v}) : lsub.{_, v} f ≤ succ (sup.{_, v} f) := lsub_le fun i => lt_succ_iff.2 (le_sup f i) #align ordinal.lsub_le_sup_succ Ordinal.lsub_le_sup_succ theorem sup_eq_lsub_or_sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f = lsub.{_, v} f ∨ succ (sup.{_, v} f) = lsub.{_, v} f := by cases' eq_or_lt_of_le (sup_le_lsub.{_, v} f) with h h · exact Or.inl h · exact Or.inr ((succ_le_of_lt h).antisymm (lsub_le_sup_succ f)) #align ordinal.sup_eq_lsub_or_sup_succ_eq_lsub Ordinal.sup_eq_lsub_or_sup_succ_eq_lsub theorem sup_succ_le_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : succ (sup.{_, v} f) ≤ lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f := by refine ⟨fun h => ?_, ?_⟩ · by_contra! hf exact (succ_le_iff.1 h).ne ((sup_le_lsub f).antisymm (lsub_le (ne_sup_iff_lt_sup.1 hf))) rintro ⟨_, hf⟩ rw [succ_le_iff, ← hf] exact lt_lsub _ _ #align ordinal.sup_succ_le_lsub Ordinal.sup_succ_le_lsub theorem sup_succ_eq_lsub {ι : Type u} (f : ι → Ordinal.{max u v}) : succ (sup.{_, v} f) = lsub.{_, v} f ↔ ∃ i, f i = sup.{_, v} f := (lsub_le_sup_succ f).le_iff_eq.symm.trans (sup_succ_le_lsub f) #align ordinal.sup_succ_eq_lsub Ordinal.sup_succ_eq_lsub theorem sup_eq_lsub_iff_succ {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f = lsub.{_, v} f ↔ ∀ a < lsub.{_, v} f, succ a < lsub.{_, v} f := by refine ⟨fun h => ?_, fun hf => le_antisymm (sup_le_lsub f) (lsub_le fun i => ?_)⟩ · rw [← h] exact fun a => sup_not_succ_of_ne_sup fun i => (lsub_le_iff.1 (le_of_eq h.symm) i).ne by_contra! hle have heq := (sup_succ_eq_lsub f).2 ⟨i, le_antisymm (le_sup _ _) hle⟩ have := hf _ (by rw [← heq] exact lt_succ (sup f)) rw [heq] at this exact this.false #align ordinal.sup_eq_lsub_iff_succ Ordinal.sup_eq_lsub_iff_succ theorem sup_eq_lsub_iff_lt_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : sup.{_, v} f = lsub.{_, v} f ↔ ∀ i, f i < sup.{_, v} f := ⟨fun h i => by rw [h] apply lt_lsub, fun h => le_antisymm (sup_le_lsub f) (lsub_le h)⟩ #align ordinal.sup_eq_lsub_iff_lt_sup Ordinal.sup_eq_lsub_iff_lt_sup @[simp] theorem lsub_empty {ι} [h : IsEmpty ι] (f : ι → Ordinal) : lsub f = 0 := by rw [← Ordinal.le_zero, lsub_le_iff] exact h.elim #align ordinal.lsub_empty Ordinal.lsub_empty theorem lsub_pos {ι : Type u} [h : Nonempty ι] (f : ι → Ordinal.{max u v}) : 0 < lsub.{_, v} f := h.elim fun i => (Ordinal.zero_le _).trans_lt (lt_lsub f i) #align ordinal.lsub_pos Ordinal.lsub_pos @[simp] theorem lsub_eq_zero_iff {ι : Type u} (f : ι → Ordinal.{max u v}) : lsub.{_, v} f = 0 ↔ IsEmpty ι := by refine ⟨fun h => ⟨fun i => ?_⟩, fun h => @lsub_empty _ h _⟩ have := @lsub_pos.{_, v} _ ⟨i⟩ f rw [h] at this exact this.false #align ordinal.lsub_eq_zero_iff Ordinal.lsub_eq_zero_iff @[simp] theorem lsub_const {ι} [Nonempty ι] (o : Ordinal) : (lsub fun _ : ι => o) = succ o := sup_const (succ o) #align ordinal.lsub_const Ordinal.lsub_const @[simp] theorem lsub_unique {ι} [Unique ι] (f : ι → Ordinal) : lsub f = succ (f default) := sup_unique _ #align ordinal.lsub_unique Ordinal.lsub_unique theorem lsub_le_of_range_subset {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal} (h : Set.range f ⊆ Set.range g) : lsub.{u, max v w} f ≤ lsub.{v, max u w} g := sup_le_of_range_subset.{u, v, w} (by convert Set.image_subset succ h <;> apply Set.range_comp) #align ordinal.lsub_le_of_range_subset Ordinal.lsub_le_of_range_subset theorem lsub_eq_of_range_eq {ι ι'} {f : ι → Ordinal} {g : ι' → Ordinal} (h : Set.range f = Set.range g) : lsub.{u, max v w} f = lsub.{v, max u w} g := (lsub_le_of_range_subset.{u, v, w} h.le).antisymm (lsub_le_of_range_subset.{v, u, w} h.ge) #align ordinal.lsub_eq_of_range_eq Ordinal.lsub_eq_of_range_eq @[simp] theorem lsub_sum {α : Type u} {β : Type v} (f : Sum α β → Ordinal) : lsub.{max u v, w} f = max (lsub.{u, max v w} fun a => f (Sum.inl a)) (lsub.{v, max u w} fun b => f (Sum.inr b)) := sup_sum _ #align ordinal.lsub_sum Ordinal.lsub_sum theorem lsub_not_mem_range {ι : Type u} (f : ι → Ordinal.{max u v}) : lsub.{_, v} f ∉ Set.range f := fun ⟨i, h⟩ => h.not_lt (lt_lsub f i) #align ordinal.lsub_not_mem_range Ordinal.lsub_not_mem_range theorem nonempty_compl_range {ι : Type u} (f : ι → Ordinal.{max u v}) : (Set.range f)ᶜ.Nonempty := ⟨_, lsub_not_mem_range.{_, v} f⟩ #align ordinal.nonempty_compl_range Ordinal.nonempty_compl_range @[simp] theorem lsub_typein (o : Ordinal) : lsub.{u, u} (typein ((· < ·) : o.out.α → o.out.α → Prop)) = o := (lsub_le.{u, u} typein_lt_self).antisymm (by by_contra! h -- Porting note: `nth_rw` → `conv_rhs` & `rw` conv_rhs at h => rw [← type_lt o] simpa [typein_enum] using lt_lsub.{u, u} (typein (· < ·)) (enum (· < ·) _ h)) #align ordinal.lsub_typein Ordinal.lsub_typein theorem sup_typein_limit {o : Ordinal} (ho : ∀ a, a < o → succ a < o) : sup.{u, u} (typein ((· < ·) : o.out.α → o.out.α → Prop)) = o := by -- Porting note: `rwa` → `rw` & `assumption` rw [(sup_eq_lsub_iff_succ.{u, u} (typein (· < ·))).2] <;> rw [lsub_typein o]; assumption #align ordinal.sup_typein_limit Ordinal.sup_typein_limit @[simp] theorem sup_typein_succ {o : Ordinal} : sup.{u, u} (typein ((· < ·) : (succ o).out.α → (succ o).out.α → Prop)) = o := by cases' sup_eq_lsub_or_sup_succ_eq_lsub.{u, u} (typein ((· < ·) : (succ o).out.α → (succ o).out.α → Prop)) with h h · rw [sup_eq_lsub_iff_succ] at h simp only [lsub_typein] at h exact (h o (lt_succ o)).false.elim rw [← succ_eq_succ_iff, h] apply lsub_typein #align ordinal.sup_typein_succ Ordinal.sup_typein_succ def blsub (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : Ordinal.{max u v} := bsup.{_, v} o fun a ha => succ (f a ha) #align ordinal.blsub Ordinal.blsub @[simp] theorem bsup_eq_blsub (o : Ordinal.{u}) (f : ∀ a < o, Ordinal.{max u v}) : (bsup.{_, v} o fun a ha => succ (f a ha)) = blsub.{_, v} o f := rfl #align ordinal.bsup_eq_blsub Ordinal.bsup_eq_blsub theorem lsub_eq_blsub' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, Ordinal.{max u v}) : lsub.{_, v} (familyOfBFamily' r ho f) = blsub.{_, v} o f := sup_eq_bsup'.{_, v} r ho fun a ha => succ (f a ha) #align ordinal.lsub_eq_blsub' Ordinal.lsub_eq_blsub'
Mathlib/SetTheory/Ordinal/Arithmetic.lean
1,762
1,766
theorem lsub_eq_lsub {ι ι' : Type u} (r : ι → ι → Prop) (r' : ι' → ι' → Prop) [IsWellOrder ι r] [IsWellOrder ι' r'] {o} (ho : type r = o) (ho' : type r' = o) (f : ∀ a < o, Ordinal.{max u v}) : lsub.{_, v} (familyOfBFamily' r ho f) = lsub.{_, v} (familyOfBFamily' r' ho' f) := by
rw [lsub_eq_blsub', lsub_eq_blsub']
import Lean.Elab.Tactic.Location import Mathlib.Logic.Basic import Mathlib.Init.Order.Defs import Mathlib.Tactic.Conv import Mathlib.Init.Set import Lean.Elab.Tactic.Location set_option autoImplicit true namespace Mathlib.Tactic.PushNeg open Lean Meta Elab.Tactic Parser.Tactic variable (p q : Prop) (s : α → Prop) theorem not_not_eq : (¬ ¬ p) = p := propext not_not theorem not_and_eq : (¬ (p ∧ q)) = (p → ¬ q) := propext not_and theorem not_and_or_eq : (¬ (p ∧ q)) = (¬ p ∨ ¬ q) := propext not_and_or theorem not_or_eq : (¬ (p ∨ q)) = (¬ p ∧ ¬ q) := propext not_or theorem not_forall_eq : (¬ ∀ x, s x) = (∃ x, ¬ s x) := propext not_forall theorem not_exists_eq : (¬ ∃ x, s x) = (∀ x, ¬ s x) := propext not_exists theorem not_implies_eq : (¬ (p → q)) = (p ∧ ¬ q) := propext Classical.not_imp theorem not_ne_eq (x y : α) : (¬ (x ≠ y)) = (x = y) := ne_eq x y ▸ not_not_eq _ theorem not_iff : (¬ (p ↔ q)) = ((p ∧ ¬ q) ∨ (¬ p ∧ q)) := propext <| _root_.not_iff.trans <| iff_iff_and_or_not_and_not.trans <| by rw [not_not, or_comm] variable {β : Type u} [LinearOrder β] theorem not_le_eq (a b : β) : (¬ (a ≤ b)) = (b < a) := propext not_le theorem not_lt_eq (a b : β) : (¬ (a < b)) = (b ≤ a) := propext not_lt theorem not_ge_eq (a b : β) : (¬ (a ≥ b)) = (a < b) := propext not_le theorem not_gt_eq (a b : β) : (¬ (a > b)) = (a ≤ b) := propext not_lt
Mathlib/Tactic/PushNeg.lean
39
42
theorem not_nonempty_eq (s : Set γ) : (¬ s.Nonempty) = (s = ∅) := by
have A : ∀ (x : γ), ¬(x ∈ (∅ : Set γ)) := fun x ↦ id simp only [Set.Nonempty, not_exists, eq_iff_iff] exact ⟨fun h ↦ Set.ext (fun x ↦ by simp only [h x, false_iff, A]), fun h ↦ by rwa [h]⟩
import Mathlib.Topology.Order #align_import topology.maps from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d" open Set Filter Function open TopologicalSpace Topology Filter variable {X : Type*} {Y : Type*} {Z : Type*} {ι : Type*} {f : X → Y} {g : Y → Z} section Inducing variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] theorem inducing_induced (f : X → Y) : @Inducing X Y (TopologicalSpace.induced f ‹_›) _ f := @Inducing.mk _ _ (TopologicalSpace.induced f ‹_›) _ _ rfl theorem inducing_id : Inducing (@id X) := ⟨induced_id.symm⟩ #align inducing_id inducing_id protected theorem Inducing.comp (hg : Inducing g) (hf : Inducing f) : Inducing (g ∘ f) := ⟨by rw [hf.induced, hg.induced, induced_compose]⟩ #align inducing.comp Inducing.comp theorem Inducing.of_comp_iff (hg : Inducing g) : Inducing (g ∘ f) ↔ Inducing f := by refine ⟨fun h ↦ ?_, hg.comp⟩ rw [inducing_iff, hg.induced, induced_compose, h.induced] #align inducing.inducing_iff Inducing.of_comp_iff theorem inducing_of_inducing_compose (hf : Continuous f) (hg : Continuous g) (hgf : Inducing (g ∘ f)) : Inducing f := ⟨le_antisymm (by rwa [← continuous_iff_le_induced]) (by rw [hgf.induced, ← induced_compose] exact induced_mono hg.le_induced)⟩ #align inducing_of_inducing_compose inducing_of_inducing_compose theorem inducing_iff_nhds : Inducing f ↔ ∀ x, 𝓝 x = comap f (𝓝 (f x)) := (inducing_iff _).trans (induced_iff_nhds_eq f) #align inducing_iff_nhds inducing_iff_nhds namespace Inducing theorem nhds_eq_comap (hf : Inducing f) : ∀ x : X, 𝓝 x = comap f (𝓝 <| f x) := inducing_iff_nhds.1 hf #align inducing.nhds_eq_comap Inducing.nhds_eq_comap theorem basis_nhds {p : ι → Prop} {s : ι → Set Y} (hf : Inducing f) {x : X} (h_basis : (𝓝 (f x)).HasBasis p s) : (𝓝 x).HasBasis p (preimage f ∘ s) := hf.nhds_eq_comap x ▸ h_basis.comap f
Mathlib/Topology/Maps.lean
97
99
theorem nhdsSet_eq_comap (hf : Inducing f) (s : Set X) : 𝓝ˢ s = comap f (𝓝ˢ (f '' s)) := by
simp only [nhdsSet, sSup_image, comap_iSup, hf.nhds_eq_comap, iSup_image]
import Mathlib.Algebra.EuclideanDomain.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Algebra.GCDMonoid.Nat #align_import ring_theory.int.basic from "leanprover-community/mathlib"@"e655e4ea5c6d02854696f97494997ba4c31be802" theorem Int.Prime.dvd_mul {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : p ∣ m.natAbs ∨ p ∣ n.natAbs := by rwa [← hp.dvd_mul, ← Int.natAbs_mul, ← Int.natCast_dvd] #align int.prime.dvd_mul Int.Prime.dvd_mul
Mathlib/RingTheory/Int/Basic.lean
93
96
theorem Int.Prime.dvd_mul' {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : (p : ℤ) ∣ m ∨ (p : ℤ) ∣ n := by
rw [Int.natCast_dvd, Int.natCast_dvd] exact Int.Prime.dvd_mul hp h
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
Mathlib/Analysis/Convex/Combination.lean
50
51
theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by
simp only [centerMass, sum_empty, smul_zero]
import Mathlib.Init.Core import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.NumberTheory.NumberField.Basic import Mathlib.FieldTheory.Galois #align_import number_theory.cyclotomic.basic from "leanprover-community/mathlib"@"4b05d3f4f0601dca8abf99c4ec99187682ed0bba" open Polynomial Algebra FiniteDimensional Set universe u v w z variable (n : ℕ+) (S T : Set ℕ+) (A : Type u) (B : Type v) (K : Type w) (L : Type z) variable [CommRing A] [CommRing B] [Algebra A B] variable [Field K] [Field L] [Algebra K L] noncomputable section @[mk_iff] class IsCyclotomicExtension : Prop where exists_prim_root {n : ℕ+} (ha : n ∈ S) : ∃ r : B, IsPrimitiveRoot r n adjoin_roots : ∀ x : B, x ∈ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} #align is_cyclotomic_extension IsCyclotomicExtension namespace IsCyclotomicExtension section Basic theorem iff_adjoin_eq_top : IsCyclotomicExtension S A B ↔ (∀ n : ℕ+, n ∈ S → ∃ r : B, IsPrimitiveRoot r n) ∧ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} = ⊤ := ⟨fun h => ⟨fun _ => h.exists_prim_root, Algebra.eq_top_iff.2 h.adjoin_roots⟩, fun h => ⟨h.1 _, Algebra.eq_top_iff.1 h.2⟩⟩ #align is_cyclotomic_extension.iff_adjoin_eq_top IsCyclotomicExtension.iff_adjoin_eq_top theorem iff_singleton : IsCyclotomicExtension {n} A B ↔ (∃ r : B, IsPrimitiveRoot r n) ∧ ∀ x, x ∈ adjoin A {b : B | b ^ (n : ℕ) = 1} := by simp [isCyclotomicExtension_iff] #align is_cyclotomic_extension.iff_singleton IsCyclotomicExtension.iff_singleton theorem empty [h : IsCyclotomicExtension ∅ A B] : (⊥ : Subalgebra A B) = ⊤ := by simpa [Algebra.eq_top_iff, isCyclotomicExtension_iff] using h #align is_cyclotomic_extension.empty IsCyclotomicExtension.empty theorem singleton_one [h : IsCyclotomicExtension {1} A B] : (⊥ : Subalgebra A B) = ⊤ := Algebra.eq_top_iff.2 fun x => by simpa [adjoin_singleton_one] using ((isCyclotomicExtension_iff _ _ _).1 h).2 x #align is_cyclotomic_extension.singleton_one IsCyclotomicExtension.singleton_one variable {A B} theorem singleton_zero_of_bot_eq_top (h : (⊥ : Subalgebra A B) = ⊤) : IsCyclotomicExtension ∅ A B := by -- Porting note: Lean3 is able to infer `A`. refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => by simp at hs, _root_.eq_top_iff.2 fun x hx => ?_⟩ rw [← h] at hx simpa using hx #align is_cyclotomic_extension.singleton_zero_of_bot_eq_top IsCyclotomicExtension.singleton_zero_of_bot_eq_top variable (A B) theorem trans (C : Type w) [CommRing C] [Algebra A C] [Algebra B C] [IsScalarTower A B C] [hS : IsCyclotomicExtension S A B] [hT : IsCyclotomicExtension T B C] (h : Function.Injective (algebraMap B C)) : IsCyclotomicExtension (S ∪ T) A C := by refine ⟨fun hn => ?_, fun x => ?_⟩ · cases' hn with hn hn · obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 hS).1 hn refine ⟨algebraMap B C b, ?_⟩ exact hb.map_of_injective h · exact ((isCyclotomicExtension_iff _ _ _).1 hT).1 hn · refine adjoin_induction (((isCyclotomicExtension_iff T B _).1 hT).2 x) (fun c ⟨n, hn⟩ => subset_adjoin ⟨n, Or.inr hn.1, hn.2⟩) (fun b => ?_) (fun x y hx hy => Subalgebra.add_mem _ hx hy) fun x y hx hy => Subalgebra.mul_mem _ hx hy let f := IsScalarTower.toAlgHom A B C have hb : f b ∈ (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}).map f := ⟨b, ((isCyclotomicExtension_iff _ _ _).1 hS).2 b, rfl⟩ rw [IsScalarTower.toAlgHom_apply, ← adjoin_image] at hb refine adjoin_mono (fun y hy => ?_) hb obtain ⟨b₁, ⟨⟨n, hn⟩, h₁⟩⟩ := hy exact ⟨n, ⟨mem_union_left T hn.1, by rw [← h₁, ← AlgHom.map_pow, hn.2, AlgHom.map_one]⟩⟩ #align is_cyclotomic_extension.trans IsCyclotomicExtension.trans @[nontriviality] theorem subsingleton_iff [Subsingleton B] : IsCyclotomicExtension S A B ↔ S = { } ∨ S = {1} := by have : Subsingleton (Subalgebra A B) := inferInstance constructor · rintro ⟨hprim, -⟩ rw [← subset_singleton_iff_eq] intro t ht obtain ⟨ζ, hζ⟩ := hprim ht rw [mem_singleton_iff, ← PNat.coe_eq_one_iff] exact mod_cast hζ.unique (IsPrimitiveRoot.of_subsingleton ζ) · rintro (rfl | rfl) -- Porting note: `R := A` was not needed. · exact ⟨fun h => h.elim, fun x => by convert (mem_top (R := A) : x ∈ ⊤)⟩ · rw [iff_singleton] exact ⟨⟨0, IsPrimitiveRoot.of_subsingleton 0⟩, fun x => by convert (mem_top (R := A) : x ∈ ⊤)⟩ #align is_cyclotomic_extension.subsingleton_iff IsCyclotomicExtension.subsingleton_iff theorem union_right [h : IsCyclotomicExtension (S ∪ T) A B] : IsCyclotomicExtension T (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}) B := by have : {b : B | ∃ n : ℕ+, n ∈ S ∪ T ∧ b ^ (n : ℕ) = 1} = {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} ∪ {b : B | ∃ n : ℕ+, n ∈ T ∧ b ^ (n : ℕ) = 1} := by refine le_antisymm ?_ ?_ · rintro x ⟨n, hn₁ | hn₂, hnpow⟩ · left; exact ⟨n, hn₁, hnpow⟩ · right; exact ⟨n, hn₂, hnpow⟩ · rintro x (⟨n, hn⟩ | ⟨n, hn⟩) · exact ⟨n, Or.inl hn.1, hn.2⟩ · exact ⟨n, Or.inr hn.1, hn.2⟩ refine ⟨fun hn => ((isCyclotomicExtension_iff _ A _).1 h).1 (mem_union_right S hn), fun b => ?_⟩ replace h := ((isCyclotomicExtension_iff _ _ _).1 h).2 b rwa [this, adjoin_union_eq_adjoin_adjoin, Subalgebra.mem_restrictScalars] at h #align is_cyclotomic_extension.union_right IsCyclotomicExtension.union_right theorem union_left [h : IsCyclotomicExtension T A B] (hS : S ⊆ T) : IsCyclotomicExtension S A (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}) := by refine ⟨@fun n hn => ?_, fun b => ?_⟩ · obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 h).1 (hS hn) refine ⟨⟨b, subset_adjoin ⟨n, hn, hb.pow_eq_one⟩⟩, ?_⟩ rwa [← IsPrimitiveRoot.coe_submonoidClass_iff, Subtype.coe_mk] · convert mem_top (R := A) (x := b) rw [← adjoin_adjoin_coe_preimage, preimage_setOf_eq] norm_cast #align is_cyclotomic_extension.union_left IsCyclotomicExtension.union_left variable {n S} theorem of_union_of_dvd (h : ∀ s ∈ S, n ∣ s) (hS : S.Nonempty) [H : IsCyclotomicExtension S A B] : IsCyclotomicExtension (S ∪ {n}) A B := by refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => ?_, ?_⟩ · rw [mem_union, mem_singleton_iff] at hs obtain hs | rfl := hs · exact H.exists_prim_root hs · obtain ⟨m, hm⟩ := hS obtain ⟨x, rfl⟩ := h m hm obtain ⟨ζ, hζ⟩ := H.exists_prim_root hm refine ⟨ζ ^ (x : ℕ), ?_⟩ convert hζ.pow_of_dvd x.ne_zero (dvd_mul_left (x : ℕ) s) simp only [PNat.mul_coe, Nat.mul_div_left, PNat.pos] · refine _root_.eq_top_iff.2 ?_ rw [← ((iff_adjoin_eq_top S A B).1 H).2] refine adjoin_mono fun x hx => ?_ simp only [union_singleton, mem_insert_iff, mem_setOf_eq] at hx ⊢ obtain ⟨m, hm⟩ := hx exact ⟨m, ⟨Or.inr hm.1, hm.2⟩⟩ #align is_cyclotomic_extension.of_union_of_dvd IsCyclotomicExtension.of_union_of_dvd theorem iff_union_of_dvd (h : ∀ s ∈ S, n ∣ s) (hS : S.Nonempty) : IsCyclotomicExtension S A B ↔ IsCyclotomicExtension (S ∪ {n}) A B := by refine ⟨fun H => of_union_of_dvd A B h hS, fun H => (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => ?_, ?_⟩⟩ · exact H.exists_prim_root (subset_union_left hs) · rw [_root_.eq_top_iff, ← ((iff_adjoin_eq_top _ A B).1 H).2] refine adjoin_mono fun x hx => ?_ simp only [union_singleton, mem_insert_iff, mem_setOf_eq] at hx ⊢ obtain ⟨m, rfl | hm, hxpow⟩ := hx · obtain ⟨y, hy⟩ := hS refine ⟨y, ⟨hy, ?_⟩⟩ obtain ⟨z, rfl⟩ := h y hy simp only [PNat.mul_coe, pow_mul, hxpow, one_pow] · exact ⟨m, ⟨hm, hxpow⟩⟩ #align is_cyclotomic_extension.iff_union_of_dvd IsCyclotomicExtension.iff_union_of_dvd variable (n S)
Mathlib/NumberTheory/Cyclotomic/Basic.lean
250
259
theorem iff_union_singleton_one : IsCyclotomicExtension S A B ↔ IsCyclotomicExtension (S ∪ {1}) A B := by
obtain hS | rfl := S.eq_empty_or_nonempty.symm · exact iff_union_of_dvd _ _ (fun s _ => one_dvd _) hS rw [empty_union] refine ⟨fun H => ?_, fun H => ?_⟩ · refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => ⟨1, by simp [mem_singleton_iff.1 hs]⟩, ?_⟩ simp [adjoin_singleton_one, empty] · refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => (not_mem_empty s hs).elim, ?_⟩ simp [@singleton_one A B _ _ _ H]
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex #align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section namespace Real open Set Filter open scoped Topology Real theorem tan_add {x y : ℝ} (h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div, Complex.ofReal_mul, Complex.ofReal_tan] using @Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast) #align real.tan_add Real.tan_add theorem tan_add' {x y : ℝ} (h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := tan_add (Or.inl h) #align real.tan_add' Real.tan_add' theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by have := @Complex.tan_two_mul x norm_cast at * #align real.tan_two_mul Real.tan_two_mul theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 := tan_eq_zero_iff.mpr (by use n) #align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos] rwa [h_eq] at this exact continuousOn_sin.div continuousOn_cos fun x => id #align real.continuous_on_tan Real.continuousOn_tan @[continuity] theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x := continuousOn_iff_continuous_restrict.1 continuousOn_tan #align real.continuous_tan Real.continuous_tan theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by refine ContinuousOn.mono continuousOn_tan fun x => ?_ simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne] rw [cos_eq_zero_iff] rintro hx_gt hx_lt ⟨r, hxr_eq⟩ rcases le_or_lt 0 r with h | h · rw [lt_iff_not_ge] at hx_lt refine hx_lt ?_ rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)] simp [h] · rw [lt_iff_not_ge] at hx_gt refine hx_gt ?_ rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul, mul_le_mul_right (half_pos pi_pos)] have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff] · set_option tactic.skipAssignedInstances false in norm_num rw [← Int.cast_one, ← Int.cast_neg]; norm_cast · exact zero_lt_two #align real.continuous_on_tan_Ioo Real.continuousOn_tan_Ioo theorem surjOn_tan : SurjOn tan (Ioo (-(π / 2)) (π / 2)) univ := have := neg_lt_self pi_div_two_pos continuousOn_tan_Ioo.surjOn_of_tendsto (nonempty_Ioo.2 this) (by rw [tendsto_comp_coe_Ioo_atBot this]; exact tendsto_tan_neg_pi_div_two) (by rw [tendsto_comp_coe_Ioo_atTop this]; exact tendsto_tan_pi_div_two) #align real.surj_on_tan Real.surjOn_tan theorem tan_surjective : Function.Surjective tan := fun _ => surjOn_tan.subset_range trivial #align real.tan_surjective Real.tan_surjective theorem image_tan_Ioo : tan '' Ioo (-(π / 2)) (π / 2) = univ := univ_subset_iff.1 surjOn_tan #align real.image_tan_Ioo Real.image_tan_Ioo def tanOrderIso : Ioo (-(π / 2)) (π / 2) ≃o ℝ := (strictMonoOn_tan.orderIso _ _).trans <| (OrderIso.setCongr _ _ image_tan_Ioo).trans OrderIso.Set.univ #align real.tan_order_iso Real.tanOrderIso -- @[pp_nodot] -- Porting note: removed noncomputable def arctan (x : ℝ) : ℝ := tanOrderIso.symm x #align real.arctan Real.arctan @[simp] theorem tan_arctan (x : ℝ) : tan (arctan x) = x := tanOrderIso.apply_symm_apply x #align real.tan_arctan Real.tan_arctan theorem arctan_mem_Ioo (x : ℝ) : arctan x ∈ Ioo (-(π / 2)) (π / 2) := Subtype.coe_prop _ #align real.arctan_mem_Ioo Real.arctan_mem_Ioo @[simp] theorem range_arctan : range arctan = Ioo (-(π / 2)) (π / 2) := ((EquivLike.surjective _).range_comp _).trans Subtype.range_coe #align real.range_arctan Real.range_arctan theorem arctan_tan {x : ℝ} (hx₁ : -(π / 2) < x) (hx₂ : x < π / 2) : arctan (tan x) = x := Subtype.ext_iff.1 <| tanOrderIso.symm_apply_apply ⟨x, hx₁, hx₂⟩ #align real.arctan_tan Real.arctan_tan theorem cos_arctan_pos (x : ℝ) : 0 < cos (arctan x) := cos_pos_of_mem_Ioo <| arctan_mem_Ioo x #align real.cos_arctan_pos Real.cos_arctan_pos theorem cos_sq_arctan (x : ℝ) : cos (arctan x) ^ 2 = 1 / (1 + x ^ 2) := by rw_mod_cast [one_div, ← inv_one_add_tan_sq (cos_arctan_pos x).ne', tan_arctan] #align real.cos_sq_arctan Real.cos_sq_arctan theorem sin_arctan (x : ℝ) : sin (arctan x) = x / √(1 + x ^ 2) := by rw_mod_cast [← tan_div_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan] #align real.sin_arctan Real.sin_arctan theorem cos_arctan (x : ℝ) : cos (arctan x) = 1 / √(1 + x ^ 2) := by rw_mod_cast [one_div, ← inv_sqrt_one_add_tan_sq (cos_arctan_pos x), tan_arctan] #align real.cos_arctan Real.cos_arctan theorem arctan_lt_pi_div_two (x : ℝ) : arctan x < π / 2 := (arctan_mem_Ioo x).2 #align real.arctan_lt_pi_div_two Real.arctan_lt_pi_div_two theorem neg_pi_div_two_lt_arctan (x : ℝ) : -(π / 2) < arctan x := (arctan_mem_Ioo x).1 #align real.neg_pi_div_two_lt_arctan Real.neg_pi_div_two_lt_arctan theorem arctan_eq_arcsin (x : ℝ) : arctan x = arcsin (x / √(1 + x ^ 2)) := Eq.symm <| arcsin_eq_of_sin_eq (sin_arctan x) (mem_Icc_of_Ioo <| arctan_mem_Ioo x) #align real.arctan_eq_arcsin Real.arctan_eq_arcsin
Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean
162
165
theorem arcsin_eq_arctan {x : ℝ} (h : x ∈ Ioo (-(1 : ℝ)) 1) : arcsin x = arctan (x / √(1 - x ^ 2)) := by
rw_mod_cast [arctan_eq_arcsin, div_pow, sq_sqrt, one_add_div, div_div, ← sqrt_mul, mul_div_cancel₀, sub_add_cancel, sqrt_one, div_one] <;> simp at h <;> nlinarith [h.1, h.2]
import Mathlib.Algebra.Group.Hom.Defs import Mathlib.Data.Set.Lattice import Mathlib.Data.SetLike.Basic #align_import group_theory.subsemigroup.basic from "leanprover-community/mathlib"@"feb99064803fd3108e37c18b0f77d0a8344677a3" assert_not_exists MonoidWithZero -- Only needed for notation variable {M : Type*} {N : Type*} {A : Type*} section NonAssoc variable [Mul M] {s : Set M} variable [Add A] {t : Set A} class MulMemClass (S : Type*) (M : Type*) [Mul M] [SetLike S M] : Prop where mul_mem : ∀ {s : S} {a b : M}, a ∈ s → b ∈ s → a * b ∈ s #align mul_mem_class MulMemClass export MulMemClass (mul_mem) class AddMemClass (S : Type*) (M : Type*) [Add M] [SetLike S M] : Prop where add_mem : ∀ {s : S} {a b : M}, a ∈ s → b ∈ s → a + b ∈ s #align add_mem_class AddMemClass export AddMemClass (add_mem) attribute [to_additive] MulMemClass attribute [aesop safe apply (rule_sets := [SetLike])] mul_mem add_mem structure Subsemigroup (M : Type*) [Mul M] where carrier : Set M mul_mem' {a b} : a ∈ carrier → b ∈ carrier → a * b ∈ carrier #align subsemigroup Subsemigroup structure AddSubsemigroup (M : Type*) [Add M] where carrier : Set M add_mem' {a b} : a ∈ carrier → b ∈ carrier → a + b ∈ carrier #align add_subsemigroup AddSubsemigroup attribute [to_additive AddSubsemigroup] Subsemigroup namespace Subsemigroup @[to_additive] instance : SetLike (Subsemigroup M) M := ⟨Subsemigroup.carrier, fun p q h => by cases p; cases q; congr⟩ @[to_additive] instance : MulMemClass (Subsemigroup M) M where mul_mem := fun {_ _ _} => Subsemigroup.mul_mem' _ initialize_simps_projections Subsemigroup (carrier → coe) initialize_simps_projections AddSubsemigroup (carrier → coe) @[to_additive (attr := simp)] theorem mem_carrier {s : Subsemigroup M} {x : M} : x ∈ s.carrier ↔ x ∈ s := Iff.rfl #align subsemigroup.mem_carrier Subsemigroup.mem_carrier #align add_subsemigroup.mem_carrier AddSubsemigroup.mem_carrier @[to_additive (attr := simp)] theorem mem_mk {s : Set M} {x : M} (h_mul) : x ∈ mk s h_mul ↔ x ∈ s := Iff.rfl #align subsemigroup.mem_mk Subsemigroup.mem_mk #align add_subsemigroup.mem_mk AddSubsemigroup.mem_mk @[to_additive (attr := simp, norm_cast)] theorem coe_set_mk {s : Set M} (h_mul) : (mk s h_mul : Set M) = s := rfl #align subsemigroup.coe_set_mk Subsemigroup.coe_set_mk #align add_subsemigroup.coe_set_mk AddSubsemigroup.coe_set_mk @[to_additive (attr := simp)] theorem mk_le_mk {s t : Set M} (h_mul) (h_mul') : mk s h_mul ≤ mk t h_mul' ↔ s ⊆ t := Iff.rfl #align subsemigroup.mk_le_mk Subsemigroup.mk_le_mk #align add_subsemigroup.mk_le_mk AddSubsemigroup.mk_le_mk @[to_additive (attr := ext) "Two `AddSubsemigroup`s are equal if they have the same elements."] theorem ext {S T : Subsemigroup M} (h : ∀ x, x ∈ S ↔ x ∈ T) : S = T := SetLike.ext h #align subsemigroup.ext Subsemigroup.ext #align add_subsemigroup.ext AddSubsemigroup.ext @[to_additive "Copy an additive subsemigroup replacing `carrier` with a set that is equal to it."] protected def copy (S : Subsemigroup M) (s : Set M) (hs : s = S) : Subsemigroup M where carrier := s mul_mem' := hs.symm ▸ S.mul_mem' #align subsemigroup.copy Subsemigroup.copy #align add_subsemigroup.copy AddSubsemigroup.copy variable {S : Subsemigroup M} @[to_additive (attr := simp)] theorem coe_copy {s : Set M} (hs : s = S) : (S.copy s hs : Set M) = s := rfl #align subsemigroup.coe_copy Subsemigroup.coe_copy #align add_subsemigroup.coe_copy AddSubsemigroup.coe_copy @[to_additive] theorem copy_eq {s : Set M} (hs : s = S) : S.copy s hs = S := SetLike.coe_injective hs #align subsemigroup.copy_eq Subsemigroup.copy_eq #align add_subsemigroup.copy_eq AddSubsemigroup.copy_eq variable (S) @[to_additive "An `AddSubsemigroup` is closed under addition."] protected theorem mul_mem {x y : M} : x ∈ S → y ∈ S → x * y ∈ S := Subsemigroup.mul_mem' S #align subsemigroup.mul_mem Subsemigroup.mul_mem #align add_subsemigroup.add_mem AddSubsemigroup.add_mem @[to_additive "The additive subsemigroup `M` of the magma `M`."] instance : Top (Subsemigroup M) := ⟨{ carrier := Set.univ mul_mem' := fun _ _ => Set.mem_univ _ }⟩ @[to_additive "The trivial `AddSubsemigroup` `∅` of an additive magma `M`."] instance : Bot (Subsemigroup M) := ⟨{ carrier := ∅ mul_mem' := False.elim }⟩ @[to_additive] instance : Inhabited (Subsemigroup M) := ⟨⊥⟩ @[to_additive] theorem not_mem_bot {x : M} : x ∉ (⊥ : Subsemigroup M) := Set.not_mem_empty x #align subsemigroup.not_mem_bot Subsemigroup.not_mem_bot #align add_subsemigroup.not_mem_bot AddSubsemigroup.not_mem_bot @[to_additive (attr := simp)] theorem mem_top (x : M) : x ∈ (⊤ : Subsemigroup M) := Set.mem_univ x #align subsemigroup.mem_top Subsemigroup.mem_top #align add_subsemigroup.mem_top AddSubsemigroup.mem_top @[to_additive (attr := simp)] theorem coe_top : ((⊤ : Subsemigroup M) : Set M) = Set.univ := rfl #align subsemigroup.coe_top Subsemigroup.coe_top #align add_subsemigroup.coe_top AddSubsemigroup.coe_top @[to_additive (attr := simp)] theorem coe_bot : ((⊥ : Subsemigroup M) : Set M) = ∅ := rfl #align subsemigroup.coe_bot Subsemigroup.coe_bot #align add_subsemigroup.coe_bot AddSubsemigroup.coe_bot @[to_additive "The inf of two `AddSubsemigroup`s is their intersection."] instance : Inf (Subsemigroup M) := ⟨fun S₁ S₂ => { carrier := S₁ ∩ S₂ mul_mem' := fun ⟨hx, hx'⟩ ⟨hy, hy'⟩ => ⟨S₁.mul_mem hx hy, S₂.mul_mem hx' hy'⟩ }⟩ @[to_additive (attr := simp)] theorem coe_inf (p p' : Subsemigroup M) : ((p ⊓ p' : Subsemigroup M) : Set M) = (p : Set M) ∩ p' := rfl #align subsemigroup.coe_inf Subsemigroup.coe_inf #align add_subsemigroup.coe_inf AddSubsemigroup.coe_inf @[to_additive (attr := simp)] theorem mem_inf {p p' : Subsemigroup M} {x : M} : x ∈ p ⊓ p' ↔ x ∈ p ∧ x ∈ p' := Iff.rfl #align subsemigroup.mem_inf Subsemigroup.mem_inf #align add_subsemigroup.mem_inf AddSubsemigroup.mem_inf @[to_additive] instance : InfSet (Subsemigroup M) := ⟨fun s => { carrier := ⋂ t ∈ s, ↑t mul_mem' := fun hx hy => Set.mem_biInter fun i h => i.mul_mem (by apply Set.mem_iInter₂.1 hx i h) (by apply Set.mem_iInter₂.1 hy i h) }⟩ @[to_additive (attr := simp, norm_cast)] theorem coe_sInf (S : Set (Subsemigroup M)) : ((sInf S : Subsemigroup M) : Set M) = ⋂ s ∈ S, ↑s := rfl #align subsemigroup.coe_Inf Subsemigroup.coe_sInf #align add_subsemigroup.coe_Inf AddSubsemigroup.coe_sInf @[to_additive] theorem mem_sInf {S : Set (Subsemigroup M)} {x : M} : x ∈ sInf S ↔ ∀ p ∈ S, x ∈ p := Set.mem_iInter₂ #align subsemigroup.mem_Inf Subsemigroup.mem_sInf #align add_subsemigroup.mem_Inf AddSubsemigroup.mem_sInf @[to_additive] theorem mem_iInf {ι : Sort*} {S : ι → Subsemigroup M} {x : M} : (x ∈ ⨅ i, S i) ↔ ∀ i, x ∈ S i := by simp only [iInf, mem_sInf, Set.forall_mem_range] #align subsemigroup.mem_infi Subsemigroup.mem_iInf #align add_subsemigroup.mem_infi AddSubsemigroup.mem_iInf @[to_additive (attr := simp, norm_cast)] theorem coe_iInf {ι : Sort*} {S : ι → Subsemigroup M} : (↑(⨅ i, S i) : Set M) = ⋂ i, S i := by simp only [iInf, coe_sInf, Set.biInter_range] #align subsemigroup.coe_infi Subsemigroup.coe_iInf #align add_subsemigroup.coe_infi AddSubsemigroup.coe_iInf @[to_additive "The `AddSubsemigroup`s of an `AddMonoid` form a complete lattice."] instance : CompleteLattice (Subsemigroup M) := { completeLatticeOfInf (Subsemigroup M) fun _ => IsGLB.of_image SetLike.coe_subset_coe isGLB_biInf with le := (· ≤ ·) lt := (· < ·) bot := ⊥ bot_le := fun _ _ hx => (not_mem_bot hx).elim top := ⊤ le_top := fun _ x _ => mem_top x inf := (· ⊓ ·) sInf := InfSet.sInf le_inf := fun _ _ _ ha hb _ hx => ⟨ha hx, hb hx⟩ inf_le_left := fun _ _ _ => And.left inf_le_right := fun _ _ _ => And.right } @[to_additive] theorem subsingleton_of_subsingleton [Subsingleton (Subsemigroup M)] : Subsingleton M := by constructor; intro x y have : ∀ a : M, a ∈ (⊥ : Subsemigroup M) := by simp [Subsingleton.elim (⊥ : Subsemigroup M) ⊤] exact absurd (this x) not_mem_bot #align subsemigroup.subsingleton_of_subsingleton Subsemigroup.subsingleton_of_subsingleton #align add_subsemigroup.subsingleton_of_subsingleton AddSubsemigroup.subsingleton_of_subsingleton @[to_additive] instance [hn : Nonempty M] : Nontrivial (Subsemigroup M) := ⟨⟨⊥, ⊤, fun h => by obtain ⟨x⟩ := id hn refine absurd (?_ : x ∈ ⊥) not_mem_bot simp [h]⟩⟩ @[to_additive "The `AddSubsemigroup` generated by a set"] def closure (s : Set M) : Subsemigroup M := sInf { S | s ⊆ S } #align subsemigroup.closure Subsemigroup.closure #align add_subsemigroup.closure AddSubsemigroup.closure @[to_additive] theorem mem_closure {x : M} : x ∈ closure s ↔ ∀ S : Subsemigroup M, s ⊆ S → x ∈ S := mem_sInf #align subsemigroup.mem_closure Subsemigroup.mem_closure #align add_subsemigroup.mem_closure AddSubsemigroup.mem_closure @[to_additive (attr := simp, aesop safe 20 apply (rule_sets := [SetLike])) "The `AddSubsemigroup` generated by a set includes the set."] theorem subset_closure : s ⊆ closure s := fun _ hx => mem_closure.2 fun _ hS => hS hx #align subsemigroup.subset_closure Subsemigroup.subset_closure #align add_subsemigroup.subset_closure AddSubsemigroup.subset_closure @[to_additive] theorem not_mem_of_not_mem_closure {P : M} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align subsemigroup.not_mem_of_not_mem_closure Subsemigroup.not_mem_of_not_mem_closure #align add_subsemigroup.not_mem_of_not_mem_closure AddSubsemigroup.not_mem_of_not_mem_closure variable {S} open Set @[to_additive (attr := simp) "An additive subsemigroup `S` includes `closure s` if and only if it includes `s`"] theorem closure_le : closure s ≤ S ↔ s ⊆ S := ⟨Subset.trans subset_closure, fun h => sInf_le h⟩ #align subsemigroup.closure_le Subsemigroup.closure_le #align add_subsemigroup.closure_le AddSubsemigroup.closure_le @[to_additive "Additive subsemigroup closure of a set is monotone in its argument: if `s ⊆ t`, then `closure s ≤ closure t`"] theorem closure_mono ⦃s t : Set M⦄ (h : s ⊆ t) : closure s ≤ closure t := closure_le.2 <| Subset.trans h subset_closure #align subsemigroup.closure_mono Subsemigroup.closure_mono #align add_subsemigroup.closure_mono AddSubsemigroup.closure_mono @[to_additive] theorem closure_eq_of_le (h₁ : s ⊆ S) (h₂ : S ≤ closure s) : closure s = S := le_antisymm (closure_le.2 h₁) h₂ #align subsemigroup.closure_eq_of_le Subsemigroup.closure_eq_of_le #align add_subsemigroup.closure_eq_of_le AddSubsemigroup.closure_eq_of_le variable (S) @[to_additive (attr := elab_as_elim) "An induction principle for additive closure membership. If `p` holds for all elements of `s`, and is preserved under addition, then `p` holds for all elements of the additive closure of `s`."] theorem closure_induction {p : M → Prop} {x} (h : x ∈ closure s) (mem : ∀ x ∈ s, p x) (mul : ∀ x y, p x → p y → p (x * y)) : p x := (@closure_le _ _ _ ⟨p, mul _ _⟩).2 mem h #align subsemigroup.closure_induction Subsemigroup.closure_induction #align add_subsemigroup.closure_induction AddSubsemigroup.closure_induction @[to_additive (attr := elab_as_elim) "A dependent version of `AddSubsemigroup.closure_induction`. "]
Mathlib/Algebra/Group/Subsemigroup/Basic.lean
365
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theorem closure_induction' (s : Set M) {p : ∀ x, x ∈ closure s → Prop} (mem : ∀ (x) (h : x ∈ s), p x (subset_closure h)) (mul : ∀ x hx y hy, p x hx → p y hy → p (x * y) (mul_mem hx hy)) {x} (hx : x ∈ closure s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ closure s) (hc : p x hx) => hc exact closure_induction hx (fun x hx => ⟨_, mem x hx⟩) fun x y ⟨hx', hx⟩ ⟨hy', hy⟩ => ⟨_, mul _ _ _ _ hx hy⟩
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm] #align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm theorem hasFiniteIntegral_iff_edist (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right] #align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h] #align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} : HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by simp [hasFiniteIntegral_iff_norm] #align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by simp only [hasFiniteIntegral_iff_norm] at * calc (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ := lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h) _ < ∞ := hg #align measure_theory.has_finite_integral.mono MeasureTheory.HasFiniteIntegral.mono theorem HasFiniteIntegral.mono' {f : α → β} {g : α → ℝ} (hg : HasFiniteIntegral g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : HasFiniteIntegral f μ := hg.mono <| h.mono fun _x hx => le_trans hx (le_abs_self _) #align measure_theory.has_finite_integral.mono' MeasureTheory.HasFiniteIntegral.mono' theorem HasFiniteIntegral.congr' {f : α → β} {g : α → γ} (hf : HasFiniteIntegral f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral g μ := hf.mono <| EventuallyEq.le <| EventuallyEq.symm h #align measure_theory.has_finite_integral.congr' MeasureTheory.HasFiniteIntegral.congr' theorem hasFiniteIntegral_congr' {f : α → β} {g : α → γ} (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ := ⟨fun hf => hf.congr' h, fun hg => hg.congr' <| EventuallyEq.symm h⟩ #align measure_theory.has_finite_integral_congr' MeasureTheory.hasFiniteIntegral_congr' theorem HasFiniteIntegral.congr {f g : α → β} (hf : HasFiniteIntegral f μ) (h : f =ᵐ[μ] g) : HasFiniteIntegral g μ := hf.congr' <| h.fun_comp norm #align measure_theory.has_finite_integral.congr MeasureTheory.HasFiniteIntegral.congr theorem hasFiniteIntegral_congr {f g : α → β} (h : f =ᵐ[μ] g) : HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ := hasFiniteIntegral_congr' <| h.fun_comp norm #align measure_theory.has_finite_integral_congr MeasureTheory.hasFiniteIntegral_congr theorem hasFiniteIntegral_const_iff {c : β} : HasFiniteIntegral (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by simp [HasFiniteIntegral, lintegral_const, lt_top_iff_ne_top, ENNReal.mul_eq_top, or_iff_not_imp_left] #align measure_theory.has_finite_integral_const_iff MeasureTheory.hasFiniteIntegral_const_iff theorem hasFiniteIntegral_const [IsFiniteMeasure μ] (c : β) : HasFiniteIntegral (fun _ : α => c) μ := hasFiniteIntegral_const_iff.2 (Or.inr <| measure_lt_top _ _) #align measure_theory.has_finite_integral_const MeasureTheory.hasFiniteIntegral_const theorem hasFiniteIntegral_of_bounded [IsFiniteMeasure μ] {f : α → β} {C : ℝ} (hC : ∀ᵐ a ∂μ, ‖f a‖ ≤ C) : HasFiniteIntegral f μ := (hasFiniteIntegral_const C).mono' hC #align measure_theory.has_finite_integral_of_bounded MeasureTheory.hasFiniteIntegral_of_bounded theorem HasFiniteIntegral.of_finite [Finite α] [IsFiniteMeasure μ] {f : α → β} : HasFiniteIntegral f μ := let ⟨_⟩ := nonempty_fintype α hasFiniteIntegral_of_bounded <| ae_of_all μ <| norm_le_pi_norm f @[deprecated (since := "2024-02-05")] alias hasFiniteIntegral_of_fintype := HasFiniteIntegral.of_finite theorem HasFiniteIntegral.mono_measure {f : α → β} (h : HasFiniteIntegral f ν) (hμ : μ ≤ ν) : HasFiniteIntegral f μ := lt_of_le_of_lt (lintegral_mono' hμ le_rfl) h #align measure_theory.has_finite_integral.mono_measure MeasureTheory.HasFiniteIntegral.mono_measure theorem HasFiniteIntegral.add_measure {f : α → β} (hμ : HasFiniteIntegral f μ) (hν : HasFiniteIntegral f ν) : HasFiniteIntegral f (μ + ν) := by simp only [HasFiniteIntegral, lintegral_add_measure] at * exact add_lt_top.2 ⟨hμ, hν⟩ #align measure_theory.has_finite_integral.add_measure MeasureTheory.HasFiniteIntegral.add_measure theorem HasFiniteIntegral.left_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) : HasFiniteIntegral f μ := h.mono_measure <| Measure.le_add_right <| le_rfl #align measure_theory.has_finite_integral.left_of_add_measure MeasureTheory.HasFiniteIntegral.left_of_add_measure theorem HasFiniteIntegral.right_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) : HasFiniteIntegral f ν := h.mono_measure <| Measure.le_add_left <| le_rfl #align measure_theory.has_finite_integral.right_of_add_measure MeasureTheory.HasFiniteIntegral.right_of_add_measure @[simp] theorem hasFiniteIntegral_add_measure {f : α → β} : HasFiniteIntegral f (μ + ν) ↔ HasFiniteIntegral f μ ∧ HasFiniteIntegral f ν := ⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩ #align measure_theory.has_finite_integral_add_measure MeasureTheory.hasFiniteIntegral_add_measure theorem HasFiniteIntegral.smul_measure {f : α → β} (h : HasFiniteIntegral f μ) {c : ℝ≥0∞} (hc : c ≠ ∞) : HasFiniteIntegral f (c • μ) := by simp only [HasFiniteIntegral, lintegral_smul_measure] at * exact mul_lt_top hc h.ne #align measure_theory.has_finite_integral.smul_measure MeasureTheory.HasFiniteIntegral.smul_measure @[simp] theorem hasFiniteIntegral_zero_measure {m : MeasurableSpace α} (f : α → β) : HasFiniteIntegral f (0 : Measure α) := by simp only [HasFiniteIntegral, lintegral_zero_measure, zero_lt_top] #align measure_theory.has_finite_integral_zero_measure MeasureTheory.hasFiniteIntegral_zero_measure variable (α β μ) @[simp] theorem hasFiniteIntegral_zero : HasFiniteIntegral (fun _ : α => (0 : β)) μ := by simp [HasFiniteIntegral] #align measure_theory.has_finite_integral_zero MeasureTheory.hasFiniteIntegral_zero variable {α β μ} theorem HasFiniteIntegral.neg {f : α → β} (hfi : HasFiniteIntegral f μ) : HasFiniteIntegral (-f) μ := by simpa [HasFiniteIntegral] using hfi #align measure_theory.has_finite_integral.neg MeasureTheory.HasFiniteIntegral.neg @[simp] theorem hasFiniteIntegral_neg_iff {f : α → β} : HasFiniteIntegral (-f) μ ↔ HasFiniteIntegral f μ := ⟨fun h => neg_neg f ▸ h.neg, HasFiniteIntegral.neg⟩ #align measure_theory.has_finite_integral_neg_iff MeasureTheory.hasFiniteIntegral_neg_iff
Mathlib/MeasureTheory/Function/L1Space.lean
248
253
theorem HasFiniteIntegral.norm {f : α → β} (hfi : HasFiniteIntegral f μ) : HasFiniteIntegral (fun a => ‖f a‖) μ := by
have eq : (fun a => (nnnorm ‖f a‖ : ℝ≥0∞)) = fun a => (‖f a‖₊ : ℝ≥0∞) := by funext rw [nnnorm_norm] rwa [HasFiniteIntegral, eq]
import Mathlib.Algebra.Module.Submodule.EqLocus import Mathlib.Algebra.Module.Submodule.RestrictScalars import Mathlib.Algebra.Ring.Idempotents import Mathlib.Data.Set.Pointwise.SMul import Mathlib.LinearAlgebra.Basic import Mathlib.Order.CompactlyGenerated.Basic import Mathlib.Order.OmegaCompletePartialOrder #align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0" variable {R R₂ K M M₂ V S : Type*} namespace Submodule open Function Set open Pointwise section AddCommMonoid variable [Semiring R] [AddCommMonoid M] [Module R M] variable {x : M} (p p' : Submodule R M) variable [Semiring R₂] {σ₁₂ : R →+* R₂} variable [AddCommMonoid M₂] [Module R₂ M₂] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂] section variable (R) def span (s : Set M) : Submodule R M := sInf { p | s ⊆ p } #align submodule.span Submodule.span variable {R} -- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument @[mk_iff] class IsPrincipal (S : Submodule R M) : Prop where principal' : ∃ a, S = span R {a} #align submodule.is_principal Submodule.IsPrincipal theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] : ∃ a, S = span R {a} := Submodule.IsPrincipal.principal' #align submodule.is_principal.principal Submodule.IsPrincipal.principal end variable {s t : Set M} theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p := mem_iInter₂ #align submodule.mem_span Submodule.mem_span @[aesop safe 20 apply (rule_sets := [SetLike])] theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h #align submodule.subset_span Submodule.subset_span theorem span_le {p} : span R s ≤ p ↔ s ⊆ p := ⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩ #align submodule.span_le Submodule.span_le theorem span_mono (h : s ⊆ t) : span R s ≤ span R t := span_le.2 <| Subset.trans h subset_span #align submodule.span_mono Submodule.span_mono theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono #align submodule.span_monotone Submodule.span_monotone theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p := le_antisymm (span_le.2 h₁) h₂ #align submodule.span_eq_of_le Submodule.span_eq_of_le theorem span_eq : span R (p : Set M) = p := span_eq_of_le _ (Subset.refl _) subset_span #align submodule.span_eq Submodule.span_eq theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t := le_antisymm (span_le.2 hs) (span_le.2 ht) #align submodule.span_eq_span Submodule.span_eq_span lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) : (span R (s : Set M) : Set M) = s := by refine le_antisymm ?_ subset_span let s' : Submodule R M := { carrier := s add_mem' := add_mem zero_mem' := zero_mem _ smul_mem' := SMulMemClass.smul_mem } exact span_le (p := s') |>.mpr le_rfl @[simp] theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] : span S (p : Set M) = p.restrictScalars S := span_eq (p.restrictScalars S) #align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) : f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f) theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) := (image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩ theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) : (span R s).map f = span R₂ (f '' s) := Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s) #align submodule.map_span Submodule.map_span alias _root_.LinearMap.map_span := Submodule.map_span #align linear_map.map_span LinearMap.map_span theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) : map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N #align submodule.map_span_le Submodule.map_span_le alias _root_.LinearMap.map_span_le := Submodule.map_span_le #align linear_map.map_span_le LinearMap.map_span_le @[simp] theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s)) rw [span_le, Set.insert_subset_iff] exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩ #align submodule.span_insert_zero Submodule.span_insert_zero -- See also `span_preimage_eq` below. theorem span_preimage_le (f : F) (s : Set M₂) : span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by rw [span_le, comap_coe] exact preimage_mono subset_span #align submodule.span_preimage_le Submodule.span_preimage_le alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le #align linear_map.span_preimage_le LinearMap.span_preimage_le theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s := (@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span #align submodule.closure_subset_span Submodule.closure_subset_span theorem closure_le_toAddSubmonoid_span {s : Set M} : AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid := closure_subset_span #align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span @[simp] theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s := le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure) #align submodule.span_closure Submodule.span_closure @[elab_as_elim] theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x := ((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h #align submodule.span_induction Submodule.span_induction theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s) (hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y) (zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0) (add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y) (add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂)) (smul_left : ∀ (r : R) x y, p x y → p (r • x) y) (smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b := Submodule.span_induction ha (fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r => smul_right r x) (zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b @[elab_as_elim] theorem span_induction' {p : ∀ x, x ∈ span R s → Prop} (mem : ∀ (x) (h : x ∈ s), p x (subset_span h)) (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc refine span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩ (fun x y hx hy => Exists.elim hx fun hx' hx => Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩ #align submodule.span_induction' Submodule.span_induction' open AddSubmonoid in theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by refine le_antisymm (fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩) (zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_) (closure_le.2 ?_) · rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm) · rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩ · rw [smul_zero]; apply zero_mem · rw [smul_add]; exact add_mem h h' @[elab_as_elim] theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by rw [← mem_toAddSubmonoid, span_eq_closure] at h refine AddSubmonoid.closure_induction h ?_ zero add rintro _ ⟨r, -, m, hm, rfl⟩ exact smul_mem r m hm @[elab_as_elim] theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop} (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc refine closure_induction hx ⟨zero_mem _, zero⟩ (fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦ Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩ @[simp] theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ := eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s)) (fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx · exact zero_mem _ · exact add_mem · exact smul_mem _ _ #align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage @[simp] lemma span_setOf_mem_eq_top : span R {x : span R s | (x : M) ∈ s} = ⊤ := span_span_coe_preimage theorem span_nat_eq_addSubmonoid_closure (s : Set M) : (span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_) apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le (a := span ℕ s) (b := AddSubmonoid.closure s) rw [span_le] exact AddSubmonoid.subset_closure #align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure @[simp] theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by rw [span_nat_eq_addSubmonoid_closure, s.closure_eq] #align submodule.span_nat_eq Submodule.span_nat_eq theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) : (span ℤ s).toAddSubgroup = AddSubgroup.closure s := Eq.symm <| AddSubgroup.closure_eq_of_le _ subset_span fun x hx => span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _) (fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _ #align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure @[simp] theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) : (span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq] #align submodule.span_int_eq Submodule.span_int_eq section variable (R M) protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where choice s _ := span R s gc _ _ := span_le le_l_u _ := subset_span choice_eq _ _ := rfl #align submodule.gi Submodule.gi end @[simp] theorem span_empty : span R (∅ : Set M) = ⊥ := (Submodule.gi R M).gc.l_bot #align submodule.span_empty Submodule.span_empty @[simp] theorem span_univ : span R (univ : Set M) = ⊤ := eq_top_iff.2 <| SetLike.le_def.2 <| subset_span #align submodule.span_univ Submodule.span_univ theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t := (Submodule.gi R M).gc.l_sup #align submodule.span_union Submodule.span_union theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) := (Submodule.gi R M).gc.l_iSup #align submodule.span_Union Submodule.span_iUnion theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) : span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) := (Submodule.gi R M).gc.l_iSup₂ #align submodule.span_Union₂ Submodule.span_iUnion₂ theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) : span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion] #align submodule.span_attach_bUnion Submodule.span_attach_biUnion theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq] #align submodule.sup_span Submodule.sup_span theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq] #align submodule.span_sup Submodule.span_sup notation:1000 R " ∙ " x => span R (singleton x) theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by simp only [← span_iUnion, Set.biUnion_of_singleton s] #align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by rw [span_eq_iSup_of_singleton_spans, iSup_range] #align submodule.span_range_eq_supr Submodule.span_range_eq_iSup theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by rw [span_le] rintro _ ⟨x, hx, rfl⟩ exact smul_mem (span R s) r (subset_span hx) #align submodule.span_smul_le Submodule.span_smul_le theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V) (hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W := (Submodule.gi R M).gc.le_u_l_trans hUV hVW #align submodule.subset_span_trans Submodule.subset_span_trans theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by apply le_antisymm · apply span_smul_le · convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R) rw [smul_smul] erw [hr.unit.inv_val] rw [one_smul] #align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit @[simp] theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i := let s : Submodule R M := { __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ } have : iSup S = s := le_antisymm (iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _) this.symm ▸ rfl #align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed @[simp] theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} : x ∈ iSup S ↔ ∃ i, x ∈ S i := by rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion] rfl #align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty) (hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by have : Nonempty s := hs.to_subtype simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk, exists_prop] #align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed @[norm_cast, simp] theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) := coe_iSup_of_directed a a.monotone.directed_le #align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain theorem coe_scott_continuous : OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) := ⟨SetLike.coe_mono, coe_iSup_of_chain⟩ #align submodule.coe_scott_continuous Submodule.coe_scott_continuous @[simp] theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k := mem_iSup_of_directed a a.monotone.directed_le #align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain section variable {p p'} theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x := ⟨fun h => by rw [← span_eq p, ← span_eq p', ← span_union] at h refine span_induction h ?_ ?_ ?_ ?_ · rintro y (h | h) · exact ⟨y, h, 0, by simp, by simp⟩ · exact ⟨0, by simp, y, h, by simp⟩ · exact ⟨0, by simp, 0, by simp⟩ · rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩ exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩ · rintro a _ ⟨y, hy, z, hz, rfl⟩ exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by rintro ⟨y, hy, z, hz, rfl⟩ exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩ #align submodule.mem_sup Submodule.mem_sup theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x := mem_sup.trans <| by simp only [Subtype.exists, exists_prop] #align submodule.mem_sup' Submodule.mem_sup' lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) : ∃ y ∈ p, ∃ z ∈ p', y + z = x := by suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this simpa only [h.eq_top] using Submodule.mem_top variable (p p') theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by ext rw [SetLike.mem_coe, mem_sup, Set.mem_add] simp #align submodule.coe_sup Submodule.coe_sup theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by ext x rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup] rfl #align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] (p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by ext x rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup] rfl #align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup end theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x := subset_span rfl #align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) := ⟨by use 0, ⟨x, Submodule.mem_span_singleton_self x⟩ intro H rw [eq_comm, Submodule.mk_eq_zero] at H exact h H⟩ #align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x := ⟨fun h => by refine span_induction h ?_ ?_ ?_ ?_ · rintro y (rfl | ⟨⟨_⟩⟩) exact ⟨1, by simp⟩ · exact ⟨0, by simp⟩ · rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩ exact ⟨a + b, by simp [add_smul]⟩ · rintro a _ ⟨b, rfl⟩ exact ⟨a * b, by simp [smul_smul]⟩, by rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩ #align submodule.mem_span_singleton Submodule.mem_span_singleton theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} : (s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton] #align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff variable (R) theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by rw [eq_top_iff, le_span_singleton_iff] tauto #align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff @[simp] theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by ext simp [mem_span_singleton, eq_comm] #align submodule.span_zero_singleton Submodule.span_zero_singleton theorem span_singleton_eq_range (y : M) : ↑(R ∙ y) = range ((· • y) : R → M) := Set.ext fun _ => mem_span_singleton #align submodule.span_singleton_eq_range Submodule.span_singleton_eq_range theorem span_singleton_smul_le {S} [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M] (r : S) (x : M) : (R ∙ r • x) ≤ R ∙ x := by rw [span_le, Set.singleton_subset_iff, SetLike.mem_coe] exact smul_of_tower_mem _ _ (mem_span_singleton_self _) #align submodule.span_singleton_smul_le Submodule.span_singleton_smul_le theorem span_singleton_group_smul_eq {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M] (g : G) (x : M) : (R ∙ g • x) = R ∙ x := by refine le_antisymm (span_singleton_smul_le R g x) ?_ convert span_singleton_smul_le R g⁻¹ (g • x) exact (inv_smul_smul g x).symm #align submodule.span_singleton_group_smul_eq Submodule.span_singleton_group_smul_eq variable {R} theorem span_singleton_smul_eq {r : R} (hr : IsUnit r) (x : M) : (R ∙ r • x) = R ∙ x := by lift r to Rˣ using hr rw [← Units.smul_def] exact span_singleton_group_smul_eq R r x #align submodule.span_singleton_smul_eq Submodule.span_singleton_smul_eq theorem disjoint_span_singleton {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E] {s : Submodule K E} {x : E} : Disjoint s (K ∙ x) ↔ x ∈ s → x = 0 := by refine disjoint_def.trans ⟨fun H hx => H x hx <| subset_span <| mem_singleton x, ?_⟩ intro H y hy hyx obtain ⟨c, rfl⟩ := mem_span_singleton.1 hyx by_cases hc : c = 0 · rw [hc, zero_smul] · rw [s.smul_mem_iff hc] at hy rw [H hy, smul_zero] #align submodule.disjoint_span_singleton Submodule.disjoint_span_singleton theorem disjoint_span_singleton' {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E] {p : Submodule K E} {x : E} (x0 : x ≠ 0) : Disjoint p (K ∙ x) ↔ x ∉ p := disjoint_span_singleton.trans ⟨fun h₁ h₂ => x0 (h₁ h₂), fun h₁ h₂ => (h₁ h₂).elim⟩ #align submodule.disjoint_span_singleton' Submodule.disjoint_span_singleton' theorem mem_span_singleton_trans {x y z : M} (hxy : x ∈ R ∙ y) (hyz : y ∈ R ∙ z) : x ∈ R ∙ z := by rw [← SetLike.mem_coe, ← singleton_subset_iff] at * exact Submodule.subset_span_trans hxy hyz #align submodule.mem_span_singleton_trans Submodule.mem_span_singleton_trans theorem span_insert (x) (s : Set M) : span R (insert x s) = (R ∙ x) ⊔ span R s := by rw [insert_eq, span_union] #align submodule.span_insert Submodule.span_insert theorem span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s := span_eq_of_le _ (Set.insert_subset_iff.mpr ⟨h, subset_span⟩) (span_mono <| subset_insert _ _) #align submodule.span_insert_eq_span Submodule.span_insert_eq_span theorem span_span : span R (span R s : Set M) = span R s := span_eq _ #align submodule.span_span Submodule.span_span theorem mem_span_insert {y} : x ∈ span R (insert y s) ↔ ∃ a : R, ∃ z ∈ span R s, x = a • y + z := by simp [span_insert, mem_sup, mem_span_singleton, eq_comm (a := x)] #align submodule.mem_span_insert Submodule.mem_span_insert theorem mem_span_pair {x y z : M} : z ∈ span R ({x, y} : Set M) ↔ ∃ a b : R, a • x + b • y = z := by simp_rw [mem_span_insert, mem_span_singleton, exists_exists_eq_and, eq_comm] #align submodule.mem_span_pair Submodule.mem_span_pair variable (R S s) theorem span_le_restrictScalars [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] : span R s ≤ (span S s).restrictScalars R := Submodule.span_le.2 Submodule.subset_span #align submodule.span_le_restrict_scalars Submodule.span_le_restrictScalars @[simp] theorem span_subset_span [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] : ↑(span R s) ⊆ (span S s : Set M) := span_le_restrictScalars R S s #align submodule.span_subset_span Submodule.span_subset_span theorem span_span_of_tower [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] : span S (span R s : Set M) = span S s := le_antisymm (span_le.2 <| span_subset_span R S s) (span_mono subset_span) #align submodule.span_span_of_tower Submodule.span_span_of_tower variable {R S s} theorem span_eq_bot : span R (s : Set M) = ⊥ ↔ ∀ x ∈ s, (x : M) = 0 := eq_bot_iff.trans ⟨fun H _ h => (mem_bot R).1 <| H <| subset_span h, fun H => span_le.2 fun x h => (mem_bot R).2 <| H x h⟩ #align submodule.span_eq_bot Submodule.span_eq_bot @[simp] theorem span_singleton_eq_bot : (R ∙ x) = ⊥ ↔ x = 0 := span_eq_bot.trans <| by simp #align submodule.span_singleton_eq_bot Submodule.span_singleton_eq_bot @[simp] theorem span_zero : span R (0 : Set M) = ⊥ := by rw [← singleton_zero, span_singleton_eq_bot] #align submodule.span_zero Submodule.span_zero @[simp] theorem span_singleton_le_iff_mem (m : M) (p : Submodule R M) : (R ∙ m) ≤ p ↔ m ∈ p := by rw [span_le, singleton_subset_iff, SetLike.mem_coe] #align submodule.span_singleton_le_iff_mem Submodule.span_singleton_le_iff_mem theorem span_singleton_eq_span_singleton {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M] {x y : M} : ((R ∙ x) = R ∙ y) ↔ ∃ z : Rˣ, z • x = y := by constructor · simp only [le_antisymm_iff, span_singleton_le_iff_mem, mem_span_singleton] rintro ⟨⟨a, rfl⟩, b, hb⟩ rcases eq_or_ne y 0 with rfl | hy; · simp refine ⟨⟨b, a, ?_, ?_⟩, hb⟩ · apply smul_left_injective R hy simpa only [mul_smul, one_smul] · rw [← hb] at hy apply smul_left_injective R (smul_ne_zero_iff.1 hy).2 simp only [mul_smul, one_smul, hb] · rintro ⟨u, rfl⟩ exact (span_singleton_group_smul_eq _ _ _).symm #align submodule.span_singleton_eq_span_singleton Submodule.span_singleton_eq_span_singleton -- Should be `@[simp]` but doesn't fire due to `lean4#3701`. theorem span_image [RingHomSurjective σ₁₂] (f : F) : span R₂ (f '' s) = map f (span R s) := (map_span f s).symm #align submodule.span_image Submodule.span_image @[simp] -- Should be replaced with `Submodule.span_image` when `lean4#3701` is fixed. theorem span_image' [RingHomSurjective σ₁₂] (f : M →ₛₗ[σ₁₂] M₂) : span R₂ (f '' s) = map f (span R s) := span_image _ theorem apply_mem_span_image_of_mem_span [RingHomSurjective σ₁₂] (f : F) {x : M} {s : Set M} (h : x ∈ Submodule.span R s) : f x ∈ Submodule.span R₂ (f '' s) := by rw [Submodule.span_image] exact Submodule.mem_map_of_mem h #align submodule.apply_mem_span_image_of_mem_span Submodule.apply_mem_span_image_of_mem_span theorem apply_mem_span_image_iff_mem_span [RingHomSurjective σ₁₂] {f : F} {x : M} {s : Set M} (hf : Function.Injective f) : f x ∈ Submodule.span R₂ (f '' s) ↔ x ∈ Submodule.span R s := by rw [← Submodule.mem_comap, ← Submodule.map_span, Submodule.comap_map_eq_of_injective hf] @[simp] theorem map_subtype_span_singleton {p : Submodule R M} (x : p) : map p.subtype (R ∙ x) = R ∙ (x : M) := by simp [← span_image] #align submodule.map_subtype_span_singleton Submodule.map_subtype_span_singleton theorem not_mem_span_of_apply_not_mem_span_image [RingHomSurjective σ₁₂] (f : F) {x : M} {s : Set M} (h : f x ∉ Submodule.span R₂ (f '' s)) : x ∉ Submodule.span R s := h.imp (apply_mem_span_image_of_mem_span f) #align submodule.not_mem_span_of_apply_not_mem_span_image Submodule.not_mem_span_of_apply_not_mem_span_image theorem iSup_span {ι : Sort*} (p : ι → Set M) : ⨆ i, span R (p i) = span R (⋃ i, p i) := le_antisymm (iSup_le fun i => span_mono <| subset_iUnion _ i) <| span_le.mpr <| iUnion_subset fun i _ hm => mem_iSup_of_mem i <| subset_span hm #align submodule.supr_span Submodule.iSup_span theorem iSup_eq_span {ι : Sort*} (p : ι → Submodule R M) : ⨆ i, p i = span R (⋃ i, ↑(p i)) := by simp_rw [← iSup_span, span_eq] #align submodule.supr_eq_span Submodule.iSup_eq_span theorem iSup_toAddSubmonoid {ι : Sort*} (p : ι → Submodule R M) : (⨆ i, p i).toAddSubmonoid = ⨆ i, (p i).toAddSubmonoid := by refine le_antisymm (fun x => ?_) (iSup_le fun i => toAddSubmonoid_mono <| le_iSup _ i) simp_rw [iSup_eq_span, AddSubmonoid.iSup_eq_closure, mem_toAddSubmonoid, coe_toAddSubmonoid] intro hx refine Submodule.span_induction hx (fun x hx => ?_) ?_ (fun x y hx hy => ?_) fun r x hx => ?_ · exact AddSubmonoid.subset_closure hx · exact AddSubmonoid.zero_mem _ · exact AddSubmonoid.add_mem _ hx hy · refine AddSubmonoid.closure_induction hx ?_ ?_ ?_ · rintro x ⟨_, ⟨i, rfl⟩, hix : x ∈ p i⟩ apply AddSubmonoid.subset_closure (Set.mem_iUnion.mpr ⟨i, _⟩) exact smul_mem _ r hix · rw [smul_zero] exact AddSubmonoid.zero_mem _ · intro x y hx hy rw [smul_add] exact AddSubmonoid.add_mem _ hx hy #align submodule.supr_to_add_submonoid Submodule.iSup_toAddSubmonoid @[elab_as_elim] theorem iSup_induction {ι : Sort*} (p : ι → Submodule R M) {C : M → Prop} {x : M} (hx : x ∈ ⨆ i, p i) (hp : ∀ (i), ∀ x ∈ p i, C x) (h0 : C 0) (hadd : ∀ x y, C x → C y → C (x + y)) : C x := by rw [← mem_toAddSubmonoid, iSup_toAddSubmonoid] at hx exact AddSubmonoid.iSup_induction (x := x) _ hx hp h0 hadd #align submodule.supr_induction Submodule.iSup_induction @[elab_as_elim] theorem iSup_induction' {ι : Sort*} (p : ι → Submodule R M) {C : ∀ x, (x ∈ ⨆ i, p i) → Prop} (mem : ∀ (i) (x) (hx : x ∈ p i), C x (mem_iSup_of_mem i hx)) (zero : C 0 (zero_mem _)) (add : ∀ x y hx hy, C x hx → C y hy → C (x + y) (add_mem ‹_› ‹_›)) {x : M} (hx : x ∈ ⨆ i, p i) : C x hx := by refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, p i) (hc : C x hx) => hc refine iSup_induction p (C := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, p i), C x hx) hx (fun i x hx => ?_) ?_ fun x y => ?_ · exact ⟨_, mem _ _ hx⟩ · exact ⟨_, zero⟩ · rintro ⟨_, Cx⟩ ⟨_, Cy⟩ exact ⟨_, add _ _ _ _ Cx Cy⟩ #align submodule.supr_induction' Submodule.iSup_induction' theorem singleton_span_isCompactElement (x : M) : CompleteLattice.IsCompactElement (span R {x} : Submodule R M) := by rw [CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le] intro d hemp hdir hsup have : x ∈ (sSup d) := (SetLike.le_def.mp hsup) (mem_span_singleton_self x) obtain ⟨y, ⟨hyd, hxy⟩⟩ := (mem_sSup_of_directed hemp hdir).mp this exact ⟨y, ⟨hyd, by simpa only [span_le, singleton_subset_iff] ⟩⟩ #align submodule.singleton_span_is_compact_element Submodule.singleton_span_isCompactElement theorem finset_span_isCompactElement (S : Finset M) : CompleteLattice.IsCompactElement (span R S : Submodule R M) := by rw [span_eq_iSup_of_singleton_spans] simp only [Finset.mem_coe] rw [← Finset.sup_eq_iSup] exact CompleteLattice.isCompactElement_finsetSup S fun x _ => singleton_span_isCompactElement x #align submodule.finset_span_is_compact_element Submodule.finset_span_isCompactElement theorem finite_span_isCompactElement (S : Set M) (h : S.Finite) : CompleteLattice.IsCompactElement (span R S : Submodule R M) := Finite.coe_toFinset h ▸ finset_span_isCompactElement h.toFinset #align submodule.finite_span_is_compact_element Submodule.finite_span_isCompactElement instance : IsCompactlyGenerated (Submodule R M) := ⟨fun s => ⟨(fun x => span R {x}) '' s, ⟨fun t ht => by rcases (Set.mem_image _ _ _).1 ht with ⟨x, _, rfl⟩ apply singleton_span_isCompactElement, by rw [sSup_eq_iSup, iSup_image, ← span_eq_iSup_of_singleton_spans, span_eq]⟩⟩⟩ theorem submodule_eq_sSup_le_nonzero_spans (p : Submodule R M) : p = sSup { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } := by let S := { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } apply le_antisymm · intro m hm by_cases h : m = 0 · rw [h] simp · exact @le_sSup _ _ S _ ⟨m, ⟨hm, ⟨h, rfl⟩⟩⟩ m (mem_span_singleton_self m) · rw [sSup_le_iff] rintro S ⟨_, ⟨_, ⟨_, rfl⟩⟩⟩ rwa [span_singleton_le_iff_mem] #align submodule.submodule_eq_Sup_le_nonzero_spans Submodule.submodule_eq_sSup_le_nonzero_spans
Mathlib/LinearAlgebra/Span.lean
779
779
theorem lt_sup_iff_not_mem {I : Submodule R M} {a : M} : (I < I ⊔ R ∙ a) ↔ a ∉ I := by
simp
import Mathlib.RingTheory.DedekindDomain.Ideal import Mathlib.RingTheory.Valuation.ExtendToLocalization import Mathlib.RingTheory.Valuation.ValuationSubring import Mathlib.Topology.Algebra.ValuedField import Mathlib.Algebra.Order.Group.TypeTags #align_import ring_theory.dedekind_domain.adic_valuation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open scoped Classical DiscreteValuation open Multiplicative IsDedekindDomain variable {R : Type*} [CommRing R] [IsDedekindDomain R] {K : Type*} [Field K] [Algebra R K] [IsFractionRing R K] (v : HeightOneSpectrum R) namespace IsDedekindDomain.HeightOneSpectrum def intValuationDef (r : R) : ℤₘ₀ := if r = 0 then 0 else ↑(Multiplicative.ofAdd (-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ)) #align is_dedekind_domain.height_one_spectrum.int_valuation_def IsDedekindDomain.HeightOneSpectrum.intValuationDef theorem intValuationDef_if_pos {r : R} (hr : r = 0) : v.intValuationDef r = 0 := if_pos hr #align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_pos IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_pos theorem intValuationDef_if_neg {r : R} (hr : r ≠ 0) : v.intValuationDef r = Multiplicative.ofAdd (-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ) := if_neg hr #align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_neg IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_neg theorem int_valuation_ne_zero (x : R) (hx : x ≠ 0) : v.intValuationDef x ≠ 0 := by rw [intValuationDef, if_neg hx] exact WithZero.coe_ne_zero #align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero theorem int_valuation_ne_zero' (x : nonZeroDivisors R) : v.intValuationDef x ≠ 0 := v.int_valuation_ne_zero x (nonZeroDivisors.coe_ne_zero x) #align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero' IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero' theorem int_valuation_zero_le (x : nonZeroDivisors R) : 0 < v.intValuationDef x := by rw [v.intValuationDef_if_neg (nonZeroDivisors.coe_ne_zero x)] exact WithZero.zero_lt_coe _ #align is_dedekind_domain.height_one_spectrum.int_valuation_zero_le IsDedekindDomain.HeightOneSpectrum.int_valuation_zero_le
Mathlib/RingTheory/DedekindDomain/AdicValuation.lean
114
120
theorem int_valuation_le_one (x : R) : v.intValuationDef x ≤ 1 := by
rw [intValuationDef] by_cases hx : x = 0 · rw [if_pos hx]; exact WithZero.zero_le 1 · rw [if_neg hx, ← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_le_coe, ofAdd_le, Right.neg_nonpos_iff] exact Int.natCast_nonneg _
import Mathlib.SetTheory.Cardinal.ToNat import Mathlib.Data.Nat.PartENat #align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" universe u v open Function variable {α : Type u} namespace Cardinal noncomputable def toPartENat : Cardinal →+o PartENat := .comp { (PartENat.withTopAddEquiv.symm : ℕ∞ →+ PartENat), (PartENat.withTopOrderIso.symm : ℕ∞ →o PartENat) with } toENat #align cardinal.to_part_enat Cardinal.toPartENat @[simp] theorem partENatOfENat_toENat (c : Cardinal) : (toENat c : PartENat) = toPartENat c := rfl @[simp] theorem toPartENat_natCast (n : ℕ) : toPartENat n = n := by simp only [← partENatOfENat_toENat, toENat_nat, PartENat.ofENat_coe] #align cardinal.to_part_enat_cast Cardinal.toPartENat_natCast theorem toPartENat_apply_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : toPartENat c = toNat c := by lift c to ℕ using h; simp #align cardinal.to_part_enat_apply_of_lt_aleph_0 Cardinal.toPartENat_apply_of_lt_aleph0 theorem toPartENat_eq_top {c : Cardinal} : toPartENat c = ⊤ ↔ ℵ₀ ≤ c := by rw [← partENatOfENat_toENat, ← PartENat.withTopEquiv_symm_top, ← toENat_eq_top, ← PartENat.withTopEquiv.symm.injective.eq_iff] simp #align to_part_enat_eq_top_iff_le_aleph_0 Cardinal.toPartENat_eq_top theorem toPartENat_apply_of_aleph0_le {c : Cardinal} (h : ℵ₀ ≤ c) : toPartENat c = ⊤ := congr_arg PartENat.ofENat (toENat_eq_top.2 h) #align cardinal.to_part_enat_apply_of_aleph_0_le Cardinal.toPartENat_apply_of_aleph0_le @[deprecated (since := "2024-02-15")] alias toPartENat_cast := toPartENat_natCast @[simp] theorem mk_toPartENat_of_infinite [h : Infinite α] : toPartENat #α = ⊤ := toPartENat_apply_of_aleph0_le (infinite_iff.1 h) #align cardinal.mk_to_part_enat_of_infinite Cardinal.mk_toPartENat_of_infinite @[simp] theorem aleph0_toPartENat : toPartENat ℵ₀ = ⊤ := toPartENat_apply_of_aleph0_le le_rfl #align cardinal.aleph_0_to_part_enat Cardinal.aleph0_toPartENat theorem toPartENat_surjective : Surjective toPartENat := fun x => PartENat.casesOn x ⟨ℵ₀, toPartENat_apply_of_aleph0_le le_rfl⟩ fun n => ⟨n, toPartENat_natCast n⟩ #align cardinal.to_part_enat_surjective Cardinal.toPartENat_surjective @[deprecated (since := "2024-02-15")] alias toPartENat_eq_top_iff_le_aleph0 := toPartENat_eq_top theorem toPartENat_strictMonoOn : StrictMonoOn toPartENat (Set.Iic ℵ₀) := PartENat.withTopOrderIso.symm.strictMono.comp_strictMonoOn toENat_strictMonoOn lemma toPartENat_le_iff_of_le_aleph0 {c c' : Cardinal} (h : c ≤ ℵ₀) : toPartENat c ≤ toPartENat c' ↔ c ≤ c' := by lift c to ℕ∞ using h simp_rw [← partENatOfENat_toENat, toENat_ofENat, enat_gc _, ← PartENat.withTopOrderIso.symm.le_iff_le, PartENat.ofENat_le, map_le_map_iff] #align to_part_enat_le_iff_le_of_le_aleph_0 Cardinal.toPartENat_le_iff_of_le_aleph0 lemma toPartENat_le_iff_of_lt_aleph0 {c c' : Cardinal} (hc' : c' < ℵ₀) : toPartENat c ≤ toPartENat c' ↔ c ≤ c' := by lift c' to ℕ using hc' simp_rw [← partENatOfENat_toENat, toENat_nat, ← toENat_le_nat, ← PartENat.withTopOrderIso.symm.le_iff_le, PartENat.ofENat_le, map_le_map_iff] #align to_part_enat_le_iff_le_of_lt_aleph_0 Cardinal.toPartENat_le_iff_of_lt_aleph0 lemma toPartENat_eq_iff_of_le_aleph0 {c c' : Cardinal} (hc : c ≤ ℵ₀) (hc' : c' ≤ ℵ₀) : toPartENat c = toPartENat c' ↔ c = c' := toPartENat_strictMonoOn.injOn.eq_iff hc hc' #align to_part_enat_eq_iff_eq_of_le_aleph_0 Cardinal.toPartENat_eq_iff_of_le_aleph0 theorem toPartENat_mono {c c' : Cardinal} (h : c ≤ c') : toPartENat c ≤ toPartENat c' := OrderHomClass.mono _ h #align cardinal.to_part_enat_mono Cardinal.toPartENat_mono theorem toPartENat_lift (c : Cardinal.{v}) : toPartENat (lift.{u, v} c) = toPartENat c := by simp only [← partENatOfENat_toENat, toENat_lift] #align cardinal.to_part_enat_lift Cardinal.toPartENat_lift
Mathlib/SetTheory/Cardinal/PartENat.lean
108
109
theorem toPartENat_congr {β : Type v} (e : α ≃ β) : toPartENat #α = toPartENat #β := by
rw [← toPartENat_lift, lift_mk_eq.{_, _,v}.mpr ⟨e⟩, toPartENat_lift]
import Mathlib.FieldTheory.Finite.Basic import Mathlib.Order.Filter.Cofinite #align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb" namespace Nat def ProbablePrime (n b : ℕ) : Prop := n ∣ b ^ (n - 1) - 1 #align fermat_psp.probable_prime Nat.ProbablePrime def FermatPsp (n b : ℕ) : Prop := ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n #align fermat_psp Nat.FermatPsp instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) := Nat.decidable_dvd _ _ #align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) := And.decidable #align fermat_psp.decidable_psp Nat.decidablePsp theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) : Nat.Coprime n b := by by_cases h₃ : 2 ≤ n · -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`, -- we can derive a contradiction if `n` divides `b`. apply Nat.coprime_of_dvd -- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and -- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis. rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩ -- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a -- contradiction apply Nat.Prime.not_dvd_one hk -- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1` replace h := dvd_of_mul_right_dvd h -- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`, -- then we know `k` divides 1. rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)] -- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it -- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we -- assumed `2 ≤ n` when doing `by_cases`. refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_) omega -- If `n = 1`, then it follows trivially that `n` is coprime with `b`. · rw [show n = 1 by omega] norm_num #align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime
Mathlib/NumberTheory/FermatPsp.lean
102
112
theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) : ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by
have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1) -- For exact mod_cast rw [Nat.ModEq.comm] constructor · intro h₁ apply Nat.modEq_of_dvd exact mod_cast h₁ · intro h₁ exact mod_cast Nat.ModEq.dvd h₁
import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Localization.AtPrime import Mathlib.RingTheory.Localization.Integral #align_import ring_theory.ideal.over from "leanprover-community/mathlib"@"198cb64d5c961e1a8d0d3e219feb7058d5353861" variable {R : Type*} [CommRing R] namespace Ideal open Polynomial open Polynomial open Submodule section CommRing variable {S : Type*} [CommRing S] {f : R →+* S} {I J : Ideal S}
Mathlib/RingTheory/Ideal/Over.lean
44
48
theorem coeff_zero_mem_comap_of_root_mem_of_eval_mem {r : S} (hr : r ∈ I) {p : R[X]} (hp : p.eval₂ f r ∈ I) : p.coeff 0 ∈ I.comap f := by
rw [← p.divX_mul_X_add, eval₂_add, eval₂_C, eval₂_mul, eval₂_X] at hp refine mem_comap.mpr ((I.add_mem_iff_right ?_).mp hp) exact I.mul_mem_left _ hr
import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.LinearAlgebra.Finsupp import Mathlib.Tactic.FinCases #align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open Affine namespace Finset theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by ext x fin_cases x <;> simp #align finset.univ_fin2 Finset.univ_fin2 variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [S : AffineSpace V P] variable {ι : Type*} (s : Finset ι) variable {ι₂ : Type*} (s₂ : Finset ι₂) def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V := ∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b) #align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint @[simp] theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) : s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by simp [weightedVSubOfPoint, LinearMap.sum_apply] #align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply @[simp (high)] theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) : s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by rw [weightedVSubOfPoint_apply, sum_smul] #align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) : s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by simp_rw [weightedVSubOfPoint_apply] refine sum_congr rfl fun i hi => ?_ rw [hw i hi, hp i hi] #align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k) (hw : ∀ i, i ≠ j → w₁ i = w₂ i) : s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by simp only [Finset.weightedVSubOfPoint_apply] congr ext i rcases eq_or_ne i j with h | h · simp [h] · simp [hw i h] #align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by apply eq_of_sub_eq_zero rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib] conv_lhs => congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, zero_smul] #align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V, vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ← sum_sub_distrib] conv_lhs => congr · skip · congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self] #align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one @[simp (high)] theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_erase rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase @[simp (high)] theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_insert_zero rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] exact Eq.symm <| sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _ #align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) : (s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by simp_rw [weightedVSubOfPoint_apply] exact Finset.sum_map _ _ _ #align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right] #align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, sum_sdiff h] #align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) = s.weightedVSubOfPoint p b w := by rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h] #align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) = (s.filter pred).weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter] #align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne] intro i hi hne refine h i hi ?_ intro hw simp [hw] at hne #align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) : s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul] #align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V := s.weightedVSubOfPoint p (Classical.choice S.nonempty) #align finset.weighted_vsub Finset.weightedVSub theorem weightedVSub_apply (w : ι → k) (p : ι → P) : s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by simp [weightedVSub, LinearMap.sum_apply] #align finset.weighted_vsub_apply Finset.weightedVSub_apply theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w := s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _ #align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero @[simp] theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) : s.weightedVSub (fun _ => p) w = 0 := by rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul] #align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const @[simp]
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
278
279
theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by
simp [weightedVSub_apply]
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms import Mathlib.CategoryTheory.Limits.Shapes.Kernels import Mathlib.CategoryTheory.Abelian.Basic import Mathlib.CategoryTheory.Subobject.Lattice import Mathlib.Order.Atoms #align_import category_theory.simple from "leanprover-community/mathlib"@"4ed0bcaef698011b0692b93a042a2282f490f6b6" noncomputable section open CategoryTheory.Limits namespace CategoryTheory universe v u variable {C : Type u} [Category.{v} C] section variable [HasZeroMorphisms C] class Simple (X : C) : Prop where mono_isIso_iff_nonzero : ∀ {Y : C} (f : Y ⟶ X) [Mono f], IsIso f ↔ f ≠ 0 #align category_theory.simple CategoryTheory.Simple theorem isIso_of_mono_of_nonzero {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : f ≠ 0) : IsIso f := (Simple.mono_isIso_iff_nonzero f).mpr w #align category_theory.is_iso_of_mono_of_nonzero CategoryTheory.isIso_of_mono_of_nonzero theorem Simple.of_iso {X Y : C} [Simple Y] (i : X ≅ Y) : Simple X := { mono_isIso_iff_nonzero := fun f m => by haveI : Mono (f ≫ i.hom) := mono_comp _ _ constructor · intro h w have j : IsIso (f ≫ i.hom) := by infer_instance rw [Simple.mono_isIso_iff_nonzero] at j subst w simp at j · intro h have j : IsIso (f ≫ i.hom) := by apply isIso_of_mono_of_nonzero intro w apply h simpa using (cancel_mono i.inv).2 w rw [← Category.comp_id f, ← i.hom_inv_id, ← Category.assoc] infer_instance } #align category_theory.simple.of_iso CategoryTheory.Simple.of_iso theorem Simple.iff_of_iso {X Y : C} (i : X ≅ Y) : Simple X ↔ Simple Y := ⟨fun _ => Simple.of_iso i.symm, fun _ => Simple.of_iso i⟩ #align category_theory.simple.iff_of_iso CategoryTheory.Simple.iff_of_iso theorem kernel_zero_of_nonzero_from_simple {X Y : C} [Simple X] {f : X ⟶ Y} [HasKernel f] (w : f ≠ 0) : kernel.ι f = 0 := by classical by_contra h haveI := isIso_of_mono_of_nonzero h exact w (eq_zero_of_epi_kernel f) #align category_theory.kernel_zero_of_nonzero_from_simple CategoryTheory.kernel_zero_of_nonzero_from_simple -- See also `mono_of_nonzero_from_simple`, which requires `Preadditive C`. theorem epi_of_nonzero_to_simple [HasEqualizers C] {X Y : C} [Simple Y] {f : X ⟶ Y} [HasImage f] (w : f ≠ 0) : Epi f := by rw [← image.fac f] haveI : IsIso (image.ι f) := isIso_of_mono_of_nonzero fun h => w (eq_zero_of_image_eq_zero h) apply epi_comp #align category_theory.epi_of_nonzero_to_simple CategoryTheory.epi_of_nonzero_to_simple theorem mono_to_simple_zero_of_not_iso {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : IsIso f → False) : f = 0 := by classical by_contra h exact w (isIso_of_mono_of_nonzero h) #align category_theory.mono_to_simple_zero_of_not_iso CategoryTheory.mono_to_simple_zero_of_not_iso theorem id_nonzero (X : C) [Simple.{v} X] : 𝟙 X ≠ 0 := (Simple.mono_isIso_iff_nonzero (𝟙 X)).mp (by infer_instance) #align category_theory.id_nonzero CategoryTheory.id_nonzero instance (X : C) [Simple.{v} X] : Nontrivial (End X) := nontrivial_of_ne 1 _ (id_nonzero X) section theorem Simple.not_isZero (X : C) [Simple X] : ¬IsZero X := by simpa [Limits.IsZero.iff_id_eq_zero] using id_nonzero X #align category_theory.simple.not_is_zero CategoryTheory.Simple.not_isZero variable [HasZeroObject C] open ZeroObject variable (C) theorem zero_not_simple [Simple (0 : C)] : False := (Simple.mono_isIso_iff_nonzero (0 : (0 : C) ⟶ (0 : C))).mp ⟨⟨0, by aesop_cat⟩⟩ rfl #align category_theory.zero_not_simple CategoryTheory.zero_not_simple end end -- We next make the dual arguments, but for this we must be in an abelian category. section Subobject variable [HasZeroMorphisms C] [HasZeroObject C] open ZeroObject open Subobject instance {X : C} [Simple X] : Nontrivial (Subobject X) := nontrivial_of_not_isZero (Simple.not_isZero X) instance {X : C} [Simple X] : IsSimpleOrder (Subobject X) where eq_bot_or_eq_top := by rintro ⟨⟨⟨Y : C, ⟨⟨⟩⟩, f : Y ⟶ X⟩, m : Mono f⟩⟩ change mk f = ⊥ ∨ mk f = ⊤ by_cases h : f = 0 · exact Or.inl (mk_eq_bot_iff_zero.mpr h) · refine Or.inr ((isIso_iff_mk_eq_top _).mp ((Simple.mono_isIso_iff_nonzero f).mpr h))
Mathlib/CategoryTheory/Simple.lean
237
248
theorem simple_of_isSimpleOrder_subobject (X : C) [IsSimpleOrder (Subobject X)] : Simple X := by
constructor; intros Y f hf; constructor · intro i rw [Subobject.isIso_iff_mk_eq_top] at i intro w rw [← Subobject.mk_eq_bot_iff_zero] at w exact IsSimpleOrder.bot_ne_top (w.symm.trans i) · intro i rcases IsSimpleOrder.eq_bot_or_eq_top (Subobject.mk f) with (h | h) · rw [Subobject.mk_eq_bot_iff_zero] at h exact False.elim (i h) · exact (Subobject.isIso_iff_mk_eq_top _).mpr h
import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.Polynomial.IntegralNormalization #align_import ring_theory.algebraic from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" universe u v w open scoped Classical open Polynomial section variable (R : Type u) {A : Type v} [CommRing R] [Ring A] [Algebra R A] def IsAlgebraic (x : A) : Prop := ∃ p : R[X], p ≠ 0 ∧ aeval x p = 0 #align is_algebraic IsAlgebraic def Transcendental (x : A) : Prop := ¬IsAlgebraic R x #align transcendental Transcendental theorem is_transcendental_of_subsingleton [Subsingleton R] (x : A) : Transcendental R x := fun ⟨p, h, _⟩ => h <| Subsingleton.elim p 0 #align is_transcendental_of_subsingleton is_transcendental_of_subsingleton variable {R} nonrec def Subalgebra.IsAlgebraic (S : Subalgebra R A) : Prop := ∀ x ∈ S, IsAlgebraic R x #align subalgebra.is_algebraic Subalgebra.IsAlgebraic variable (R A) protected class Algebra.IsAlgebraic : Prop := isAlgebraic : ∀ x : A, IsAlgebraic R x #align algebra.is_algebraic Algebra.IsAlgebraic variable {R A} lemma Algebra.isAlgebraic_def : Algebra.IsAlgebraic R A ↔ ∀ x : A, IsAlgebraic R x := ⟨fun ⟨h⟩ ↦ h, fun h ↦ ⟨h⟩⟩ theorem Subalgebra.isAlgebraic_iff (S : Subalgebra R A) : S.IsAlgebraic ↔ @Algebra.IsAlgebraic R S _ _ S.algebra := by delta Subalgebra.IsAlgebraic rw [Subtype.forall', Algebra.isAlgebraic_def] refine forall_congr' fun x => exists_congr fun p => and_congr Iff.rfl ?_ have h : Function.Injective S.val := Subtype.val_injective conv_rhs => rw [← h.eq_iff, AlgHom.map_zero] rw [← aeval_algHom_apply, S.val_apply] #align subalgebra.is_algebraic_iff Subalgebra.isAlgebraic_iff theorem Algebra.isAlgebraic_iff : Algebra.IsAlgebraic R A ↔ (⊤ : Subalgebra R A).IsAlgebraic := by delta Subalgebra.IsAlgebraic simp only [Algebra.isAlgebraic_def, Algebra.mem_top, forall_prop_of_true, iff_self_iff] #align algebra.is_algebraic_iff Algebra.isAlgebraic_iff theorem isAlgebraic_iff_not_injective {x : A} : IsAlgebraic R x ↔ ¬Function.Injective (Polynomial.aeval x : R[X] →ₐ[R] A) := by simp only [IsAlgebraic, injective_iff_map_eq_zero, not_forall, and_comm, exists_prop] #align is_algebraic_iff_not_injective isAlgebraic_iff_not_injective end section zero_ne_one variable {R : Type u} {S : Type*} {A : Type v} [CommRing R] variable [CommRing S] [Ring A] [Algebra R A] [Algebra R S] [Algebra S A] variable [IsScalarTower R S A] theorem IsIntegral.isAlgebraic [Nontrivial R] {x : A} : IsIntegral R x → IsAlgebraic R x := fun ⟨p, hp, hpx⟩ => ⟨p, hp.ne_zero, hpx⟩ #align is_integral.is_algebraic IsIntegral.isAlgebraic instance Algebra.IsIntegral.isAlgebraic [Nontrivial R] [Algebra.IsIntegral R A] : Algebra.IsAlgebraic R A := ⟨fun a ↦ (Algebra.IsIntegral.isIntegral a).isAlgebraic⟩ theorem isAlgebraic_zero [Nontrivial R] : IsAlgebraic R (0 : A) := ⟨_, X_ne_zero, aeval_X 0⟩ #align is_algebraic_zero isAlgebraic_zero theorem isAlgebraic_algebraMap [Nontrivial R] (x : R) : IsAlgebraic R (algebraMap R A x) := ⟨_, X_sub_C_ne_zero x, by rw [_root_.map_sub, aeval_X, aeval_C, sub_self]⟩ #align is_algebraic_algebra_map isAlgebraic_algebraMap theorem isAlgebraic_one [Nontrivial R] : IsAlgebraic R (1 : A) := by rw [← _root_.map_one (algebraMap R A)] exact isAlgebraic_algebraMap 1 #align is_algebraic_one isAlgebraic_one
Mathlib/RingTheory/Algebraic.lean
118
120
theorem isAlgebraic_nat [Nontrivial R] (n : ℕ) : IsAlgebraic R (n : A) := by
rw [← map_natCast (_ : R →+* A) n] exact isAlgebraic_algebraMap (Nat.cast n)
import Mathlib.RingTheory.PrincipalIdealDomain #align_import ring_theory.bezout from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" universe u v variable {R : Type u} [CommRing R] namespace IsBezout theorem iff_span_pair_isPrincipal : IsBezout R ↔ ∀ x y : R, (Ideal.span {x, y} : Ideal R).IsPrincipal := by classical constructor · intro H x y; infer_instance · intro H constructor apply Submodule.fg_induction · exact fun _ => ⟨⟨_, rfl⟩⟩ · rintro _ _ ⟨⟨x, rfl⟩⟩ ⟨⟨y, rfl⟩⟩; rw [← Submodule.span_insert]; exact H _ _ #align is_bezout.iff_span_pair_is_principal IsBezout.iff_span_pair_isPrincipal
Mathlib/RingTheory/Bezout.lean
42
50
theorem _root_.Function.Surjective.isBezout {S : Type v} [CommRing S] (f : R →+* S) (hf : Function.Surjective f) [IsBezout R] : IsBezout S := by
rw [iff_span_pair_isPrincipal] intro x y obtain ⟨⟨x, rfl⟩, ⟨y, rfl⟩⟩ := hf x, hf y use f (gcd x y) trans Ideal.map f (Ideal.span {gcd x y}) · rw [span_gcd, Ideal.map_span, Set.image_insert_eq, Set.image_singleton] · rw [Ideal.map_span, Set.image_singleton]; rfl
import Mathlib.FieldTheory.Galois import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Topology.Algebra.OpenSubgroup import Mathlib.Tactic.ByContra #align_import field_theory.krull_topology from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" open scoped Classical Pointwise theorem IntermediateField.map_id {K L : Type*} [Field K] [Field L] [Algebra K L] (E : IntermediateField K L) : E.map (AlgHom.id K L) = E := SetLike.coe_injective <| Set.image_id _ #align intermediate_field.map_id IntermediateField.map_id instance im_finiteDimensional {K L : Type*} [Field K] [Field L] [Algebra K L] {E : IntermediateField K L} (σ : L ≃ₐ[K] L) [FiniteDimensional K E] : FiniteDimensional K (E.map σ.toAlgHom) := LinearEquiv.finiteDimensional (IntermediateField.intermediateFieldMap σ E).toLinearEquiv #align im_finite_dimensional im_finiteDimensional def finiteExts (K : Type*) [Field K] (L : Type*) [Field L] [Algebra K L] : Set (IntermediateField K L) := {E | FiniteDimensional K E} #align finite_exts finiteExts def fixedByFinite (K L : Type*) [Field K] [Field L] [Algebra K L] : Set (Subgroup (L ≃ₐ[K] L)) := IntermediateField.fixingSubgroup '' finiteExts K L #align fixed_by_finite fixedByFinite theorem IntermediateField.finiteDimensional_bot (K L : Type*) [Field K] [Field L] [Algebra K L] : FiniteDimensional K (⊥ : IntermediateField K L) := .of_rank_eq_one IntermediateField.rank_bot #align intermediate_field.finite_dimensional_bot IntermediateField.finiteDimensional_bot theorem IntermediateField.fixingSubgroup.bot {K L : Type*} [Field K] [Field L] [Algebra K L] : IntermediateField.fixingSubgroup (⊥ : IntermediateField K L) = ⊤ := by ext f refine ⟨fun _ => Subgroup.mem_top _, fun _ => ?_⟩ rintro ⟨x, hx : x ∈ (⊥ : IntermediateField K L)⟩ rw [IntermediateField.mem_bot] at hx rcases hx with ⟨y, rfl⟩ exact f.commutes y #align intermediate_field.fixing_subgroup.bot IntermediateField.fixingSubgroup.bot theorem top_fixedByFinite {K L : Type*} [Field K] [Field L] [Algebra K L] : ⊤ ∈ fixedByFinite K L := ⟨⊥, IntermediateField.finiteDimensional_bot K L, IntermediateField.fixingSubgroup.bot⟩ #align top_fixed_by_finite top_fixedByFinite theorem finiteDimensional_sup {K L : Type*} [Field K] [Field L] [Algebra K L] (E1 E2 : IntermediateField K L) (_ : FiniteDimensional K E1) (_ : FiniteDimensional K E2) : FiniteDimensional K (↥(E1 ⊔ E2)) := IntermediateField.finiteDimensional_sup E1 E2 #align finite_dimensional_sup finiteDimensional_sup theorem IntermediateField.mem_fixingSubgroup_iff {K L : Type*} [Field K] [Field L] [Algebra K L] (E : IntermediateField K L) (σ : L ≃ₐ[K] L) : σ ∈ E.fixingSubgroup ↔ ∀ x : L, x ∈ E → σ x = x := ⟨fun hσ x hx => hσ ⟨x, hx⟩, fun h ⟨x, hx⟩ => h x hx⟩ #align intermediate_field.mem_fixing_subgroup_iff IntermediateField.mem_fixingSubgroup_iff
Mathlib/FieldTheory/KrullTopology.lean
124
127
theorem IntermediateField.fixingSubgroup.antimono {K L : Type*} [Field K] [Field L] [Algebra K L] {E1 E2 : IntermediateField K L} (h12 : E1 ≤ E2) : E2.fixingSubgroup ≤ E1.fixingSubgroup := by
rintro σ hσ ⟨x, hx⟩ exact hσ ⟨x, h12 hx⟩
import Mathlib.Data.Set.Finite import Mathlib.Order.Partition.Finpartition #align_import data.setoid.partition from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205" namespace Setoid variable {α : Type*} theorem eq_of_mem_eqv_class {c : Set (Set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {x b b'} (hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') : b = b' := (H x).unique ⟨hc, hb⟩ ⟨hc', hb'⟩ #align setoid.eq_of_mem_eqv_class Setoid.eq_of_mem_eqv_class def mkClasses (c : Set (Set α)) (H : ∀ a, ∃! b ∈ c, a ∈ b) : Setoid α where r x y := ∀ s ∈ c, x ∈ s → y ∈ s iseqv.refl := fun _ _ _ hx => hx iseqv.symm := fun {x _y} h s hs hy => by obtain ⟨t, ⟨ht, hx⟩, _⟩ := H x rwa [eq_of_mem_eqv_class H hs hy ht (h t ht hx)] iseqv.trans := fun {_x y z} h1 h2 s hs hx => h2 s hs (h1 s hs hx) #align setoid.mk_classes Setoid.mkClasses def classes (r : Setoid α) : Set (Set α) := { s | ∃ y, s = { x | r.Rel x y } } #align setoid.classes Setoid.classes theorem mem_classes (r : Setoid α) (y) : { x | r.Rel x y } ∈ r.classes := ⟨y, rfl⟩ #align setoid.mem_classes Setoid.mem_classes theorem classes_ker_subset_fiber_set {β : Type*} (f : α → β) : (Setoid.ker f).classes ⊆ Set.range fun y => { x | f x = y } := by rintro s ⟨x, rfl⟩ rw [Set.mem_range] exact ⟨f x, rfl⟩ #align setoid.classes_ker_subset_fiber_set Setoid.classes_ker_subset_fiber_set theorem finite_classes_ker {α β : Type*} [Finite β] (f : α → β) : (Setoid.ker f).classes.Finite := (Set.finite_range _).subset <| classes_ker_subset_fiber_set f #align setoid.finite_classes_ker Setoid.finite_classes_ker
Mathlib/Data/Setoid/Partition.lean
78
81
theorem card_classes_ker_le {α β : Type*} [Fintype β] (f : α → β) [Fintype (Setoid.ker f).classes] : Fintype.card (Setoid.ker f).classes ≤ Fintype.card β := by
classical exact le_trans (Set.card_le_card (classes_ker_subset_fiber_set f)) (Fintype.card_range_le _)
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.Div #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section open Polynomial open Finset namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section NoZeroDivisors variable [Semiring R] [NoZeroDivisors R] {p q : R[X]} instance : NoZeroDivisors R[X] where eq_zero_or_eq_zero_of_mul_eq_zero h := by rw [← leadingCoeff_eq_zero, ← leadingCoeff_eq_zero] refine eq_zero_or_eq_zero_of_mul_eq_zero ?_ rw [← leadingCoeff_zero, ← leadingCoeff_mul, h] theorem natDegree_mul (hp : p ≠ 0) (hq : q ≠ 0) : (p*q).natDegree = p.natDegree + q.natDegree := by rw [← Nat.cast_inj (R := WithBot ℕ), ← degree_eq_natDegree (mul_ne_zero hp hq), Nat.cast_add, ← degree_eq_natDegree hp, ← degree_eq_natDegree hq, degree_mul] #align polynomial.nat_degree_mul Polynomial.natDegree_mul theorem trailingDegree_mul : (p * q).trailingDegree = p.trailingDegree + q.trailingDegree := by by_cases hp : p = 0 · rw [hp, zero_mul, trailingDegree_zero, top_add] by_cases hq : q = 0 · rw [hq, mul_zero, trailingDegree_zero, add_top] · rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq, trailingDegree_eq_natTrailingDegree (mul_ne_zero hp hq), natTrailingDegree_mul hp hq] apply WithTop.coe_add #align polynomial.trailing_degree_mul Polynomial.trailingDegree_mul @[simp] theorem natDegree_pow (p : R[X]) (n : ℕ) : natDegree (p ^ n) = n * natDegree p := by classical obtain rfl | hp := eq_or_ne p 0 · obtain rfl | hn := eq_or_ne n 0 <;> simp [*] exact natDegree_pow' $ by rw [← leadingCoeff_pow, Ne, leadingCoeff_eq_zero]; exact pow_ne_zero _ hp #align polynomial.nat_degree_pow Polynomial.natDegree_pow theorem degree_le_mul_left (p : R[X]) (hq : q ≠ 0) : degree p ≤ degree (p * q) := by classical exact if hp : p = 0 then by simp only [hp, zero_mul, le_refl] else by rw [degree_mul, degree_eq_natDegree hp, degree_eq_natDegree hq]; exact WithBot.coe_le_coe.2 (Nat.le_add_right _ _) #align polynomial.degree_le_mul_left Polynomial.degree_le_mul_left theorem natDegree_le_of_dvd {p q : R[X]} (h1 : p ∣ q) (h2 : q ≠ 0) : p.natDegree ≤ q.natDegree := by rcases h1 with ⟨q, rfl⟩; rw [mul_ne_zero_iff] at h2 rw [natDegree_mul h2.1 h2.2]; exact Nat.le_add_right _ _ #align polynomial.nat_degree_le_of_dvd Polynomial.natDegree_le_of_dvd theorem degree_le_of_dvd {p q : R[X]} (h1 : p ∣ q) (h2 : q ≠ 0) : degree p ≤ degree q := by rcases h1 with ⟨q, rfl⟩; rw [mul_ne_zero_iff] at h2 exact degree_le_mul_left p h2.2 #align polynomial.degree_le_of_dvd Polynomial.degree_le_of_dvd theorem eq_zero_of_dvd_of_degree_lt {p q : R[X]} (h₁ : p ∣ q) (h₂ : degree q < degree p) : q = 0 := by by_contra hc exact (lt_iff_not_ge _ _).mp h₂ (degree_le_of_dvd h₁ hc) #align polynomial.eq_zero_of_dvd_of_degree_lt Polynomial.eq_zero_of_dvd_of_degree_lt theorem eq_zero_of_dvd_of_natDegree_lt {p q : R[X]} (h₁ : p ∣ q) (h₂ : natDegree q < natDegree p) : q = 0 := by by_contra hc exact (lt_iff_not_ge _ _).mp h₂ (natDegree_le_of_dvd h₁ hc) #align polynomial.eq_zero_of_dvd_of_nat_degree_lt Polynomial.eq_zero_of_dvd_of_natDegree_lt theorem not_dvd_of_degree_lt {p q : R[X]} (h0 : q ≠ 0) (hl : q.degree < p.degree) : ¬p ∣ q := by by_contra hcontra exact h0 (eq_zero_of_dvd_of_degree_lt hcontra hl) #align polynomial.not_dvd_of_degree_lt Polynomial.not_dvd_of_degree_lt theorem not_dvd_of_natDegree_lt {p q : R[X]} (h0 : q ≠ 0) (hl : q.natDegree < p.natDegree) : ¬p ∣ q := by by_contra hcontra exact h0 (eq_zero_of_dvd_of_natDegree_lt hcontra hl) #align polynomial.not_dvd_of_nat_degree_lt Polynomial.not_dvd_of_natDegree_lt theorem natDegree_sub_eq_of_prod_eq {p₁ p₂ q₁ q₂ : R[X]} (hp₁ : p₁ ≠ 0) (hq₁ : q₁ ≠ 0) (hp₂ : p₂ ≠ 0) (hq₂ : q₂ ≠ 0) (h_eq : p₁ * q₂ = p₂ * q₁) : (p₁.natDegree : ℤ) - q₁.natDegree = (p₂.natDegree : ℤ) - q₂.natDegree := by rw [sub_eq_sub_iff_add_eq_add] norm_cast rw [← natDegree_mul hp₁ hq₂, ← natDegree_mul hp₂ hq₁, h_eq] #align polynomial.nat_degree_sub_eq_of_prod_eq Polynomial.natDegree_sub_eq_of_prod_eq
Mathlib/Algebra/Polynomial/RingDivision.lean
198
203
theorem natDegree_eq_zero_of_isUnit (h : IsUnit p) : natDegree p = 0 := by
nontriviality R obtain ⟨q, hq⟩ := h.exists_right_inv have := natDegree_mul (left_ne_zero_of_mul_eq_one hq) (right_ne_zero_of_mul_eq_one hq) rw [hq, natDegree_one, eq_comm, add_eq_zero_iff] at this exact this.1
import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace #align_import analysis.calculus.deriv.basic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal NNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) := HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L #align has_deriv_at_filter HasDerivAtFilter def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) := HasDerivAtFilter f f' x (𝓝[s] x) #align has_deriv_within_at HasDerivWithinAt def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) := HasDerivAtFilter f f' x (𝓝 x) #align has_deriv_at HasDerivAt def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) := HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x #align has_strict_deriv_at HasStrictDerivAt def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) := fderivWithin 𝕜 f s x 1 #align deriv_within derivWithin def deriv (f : 𝕜 → F) (x : 𝕜) := fderiv 𝕜 f x 1 #align deriv deriv variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} : HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by simp [HasDerivAtFilter] #align has_fderiv_at_filter_iff_has_deriv_at_filter hasFDerivAtFilter_iff_hasDerivAtFilter theorem HasFDerivAtFilter.hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} : HasFDerivAtFilter f f' x L → HasDerivAtFilter f (f' 1) x L := hasFDerivAtFilter_iff_hasDerivAtFilter.mp #align has_fderiv_at_filter.has_deriv_at_filter HasFDerivAtFilter.hasDerivAtFilter theorem hasFDerivWithinAt_iff_hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} : HasFDerivWithinAt f f' s x ↔ HasDerivWithinAt f (f' 1) s x := hasFDerivAtFilter_iff_hasDerivAtFilter #align has_fderiv_within_at_iff_has_deriv_within_at hasFDerivWithinAt_iff_hasDerivWithinAt theorem hasDerivWithinAt_iff_hasFDerivWithinAt {f' : F} : HasDerivWithinAt f f' s x ↔ HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x := Iff.rfl #align has_deriv_within_at_iff_has_fderiv_within_at hasDerivWithinAt_iff_hasFDerivWithinAt theorem HasFDerivWithinAt.hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} : HasFDerivWithinAt f f' s x → HasDerivWithinAt f (f' 1) s x := hasFDerivWithinAt_iff_hasDerivWithinAt.mp #align has_fderiv_within_at.has_deriv_within_at HasFDerivWithinAt.hasDerivWithinAt theorem HasDerivWithinAt.hasFDerivWithinAt {f' : F} : HasDerivWithinAt f f' s x → HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x := hasDerivWithinAt_iff_hasFDerivWithinAt.mp #align has_deriv_within_at.has_fderiv_within_at HasDerivWithinAt.hasFDerivWithinAt theorem hasFDerivAt_iff_hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x ↔ HasDerivAt f (f' 1) x := hasFDerivAtFilter_iff_hasDerivAtFilter #align has_fderiv_at_iff_has_deriv_at hasFDerivAt_iff_hasDerivAt theorem HasFDerivAt.hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x → HasDerivAt f (f' 1) x := hasFDerivAt_iff_hasDerivAt.mp #align has_fderiv_at.has_deriv_at HasFDerivAt.hasDerivAt theorem hasStrictFDerivAt_iff_hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} : HasStrictFDerivAt f f' x ↔ HasStrictDerivAt f (f' 1) x := by simp [HasStrictDerivAt, HasStrictFDerivAt] #align has_strict_fderiv_at_iff_has_strict_deriv_at hasStrictFDerivAt_iff_hasStrictDerivAt protected theorem HasStrictFDerivAt.hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} : HasStrictFDerivAt f f' x → HasStrictDerivAt f (f' 1) x := hasStrictFDerivAt_iff_hasStrictDerivAt.mp #align has_strict_fderiv_at.has_strict_deriv_at HasStrictFDerivAt.hasStrictDerivAt theorem hasStrictDerivAt_iff_hasStrictFDerivAt : HasStrictDerivAt f f' x ↔ HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x := Iff.rfl #align has_strict_deriv_at_iff_has_strict_fderiv_at hasStrictDerivAt_iff_hasStrictFDerivAt alias ⟨HasStrictDerivAt.hasStrictFDerivAt, _⟩ := hasStrictDerivAt_iff_hasStrictFDerivAt #align has_strict_deriv_at.has_strict_fderiv_at HasStrictDerivAt.hasStrictFDerivAt theorem hasDerivAt_iff_hasFDerivAt {f' : F} : HasDerivAt f f' x ↔ HasFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x := Iff.rfl #align has_deriv_at_iff_has_fderiv_at hasDerivAt_iff_hasFDerivAt alias ⟨HasDerivAt.hasFDerivAt, _⟩ := hasDerivAt_iff_hasFDerivAt #align has_deriv_at.has_fderiv_at HasDerivAt.hasFDerivAt theorem derivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) : derivWithin f s x = 0 := by unfold derivWithin rw [fderivWithin_zero_of_not_differentiableWithinAt h] simp #align deriv_within_zero_of_not_differentiable_within_at derivWithin_zero_of_not_differentiableWithinAt theorem derivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : derivWithin f s x = 0 := by rw [derivWithin, fderivWithin_zero_of_isolated h, ContinuousLinearMap.zero_apply] theorem derivWithin_zero_of_nmem_closure (h : x ∉ closure s) : derivWithin f s x = 0 := by rw [derivWithin, fderivWithin_zero_of_nmem_closure h, ContinuousLinearMap.zero_apply] theorem differentiableWithinAt_of_derivWithin_ne_zero (h : derivWithin f s x ≠ 0) : DifferentiableWithinAt 𝕜 f s x := not_imp_comm.1 derivWithin_zero_of_not_differentiableWithinAt h #align differentiable_within_at_of_deriv_within_ne_zero differentiableWithinAt_of_derivWithin_ne_zero theorem deriv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : deriv f x = 0 := by unfold deriv rw [fderiv_zero_of_not_differentiableAt h] simp #align deriv_zero_of_not_differentiable_at deriv_zero_of_not_differentiableAt theorem differentiableAt_of_deriv_ne_zero (h : deriv f x ≠ 0) : DifferentiableAt 𝕜 f x := not_imp_comm.1 deriv_zero_of_not_differentiableAt h #align differentiable_at_of_deriv_ne_zero differentiableAt_of_deriv_ne_zero theorem UniqueDiffWithinAt.eq_deriv (s : Set 𝕜) (H : UniqueDiffWithinAt 𝕜 s x) (h : HasDerivWithinAt f f' s x) (h₁ : HasDerivWithinAt f f₁' s x) : f' = f₁' := smulRight_one_eq_iff.mp <| UniqueDiffWithinAt.eq H h h₁ #align unique_diff_within_at.eq_deriv UniqueDiffWithinAt.eq_deriv theorem hasDerivAtFilter_iff_isLittleO : HasDerivAtFilter f f' x L ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[L] fun x' => x' - x := hasFDerivAtFilter_iff_isLittleO .. #align has_deriv_at_filter_iff_is_o hasDerivAtFilter_iff_isLittleO theorem hasDerivAtFilter_iff_tendsto : HasDerivAtFilter f f' x L ↔ Tendsto (fun x' : 𝕜 => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) L (𝓝 0) := hasFDerivAtFilter_iff_tendsto #align has_deriv_at_filter_iff_tendsto hasDerivAtFilter_iff_tendsto theorem hasDerivWithinAt_iff_isLittleO : HasDerivWithinAt f f' s x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝[s] x] fun x' => x' - x := hasFDerivAtFilter_iff_isLittleO .. #align has_deriv_within_at_iff_is_o hasDerivWithinAt_iff_isLittleO theorem hasDerivWithinAt_iff_tendsto : HasDerivWithinAt f f' s x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝[s] x) (𝓝 0) := hasFDerivAtFilter_iff_tendsto #align has_deriv_within_at_iff_tendsto hasDerivWithinAt_iff_tendsto theorem hasDerivAt_iff_isLittleO : HasDerivAt f f' x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝 x] fun x' => x' - x := hasFDerivAtFilter_iff_isLittleO .. #align has_deriv_at_iff_is_o hasDerivAt_iff_isLittleO theorem hasDerivAt_iff_tendsto : HasDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝 x) (𝓝 0) := hasFDerivAtFilter_iff_tendsto #align has_deriv_at_iff_tendsto hasDerivAt_iff_tendsto theorem HasDerivAtFilter.isBigO_sub (h : HasDerivAtFilter f f' x L) : (fun x' => f x' - f x) =O[L] fun x' => x' - x := HasFDerivAtFilter.isBigO_sub h set_option linter.uppercaseLean3 false in #align has_deriv_at_filter.is_O_sub HasDerivAtFilter.isBigO_sub nonrec theorem HasDerivAtFilter.isBigO_sub_rev (hf : HasDerivAtFilter f f' x L) (hf' : f' ≠ 0) : (fun x' => x' - x) =O[L] fun x' => f x' - f x := suffices AntilipschitzWith ‖f'‖₊⁻¹ (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') from hf.isBigO_sub_rev this AddMonoidHomClass.antilipschitz_of_bound (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') fun x => by simp [norm_smul, ← div_eq_inv_mul, mul_div_cancel_right₀ _ (mt norm_eq_zero.1 hf')] set_option linter.uppercaseLean3 false in #align has_deriv_at_filter.is_O_sub_rev HasDerivAtFilter.isBigO_sub_rev theorem HasStrictDerivAt.hasDerivAt (h : HasStrictDerivAt f f' x) : HasDerivAt f f' x := h.hasFDerivAt #align has_strict_deriv_at.has_deriv_at HasStrictDerivAt.hasDerivAt theorem hasDerivWithinAt_congr_set' {s t : Set 𝕜} (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) : HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x := hasFDerivWithinAt_congr_set' y h #align has_deriv_within_at_congr_set' hasDerivWithinAt_congr_set' theorem hasDerivWithinAt_congr_set {s t : Set 𝕜} (h : s =ᶠ[𝓝 x] t) : HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x := hasFDerivWithinAt_congr_set h #align has_deriv_within_at_congr_set hasDerivWithinAt_congr_set alias ⟨HasDerivWithinAt.congr_set, _⟩ := hasDerivWithinAt_congr_set #align has_deriv_within_at.congr_set HasDerivWithinAt.congr_set @[simp] theorem hasDerivWithinAt_diff_singleton : HasDerivWithinAt f f' (s \ {x}) x ↔ HasDerivWithinAt f f' s x := hasFDerivWithinAt_diff_singleton _ #align has_deriv_within_at_diff_singleton hasDerivWithinAt_diff_singleton @[simp] theorem hasDerivWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] : HasDerivWithinAt f f' (Ioi x) x ↔ HasDerivWithinAt f f' (Ici x) x := by rw [← Ici_diff_left, hasDerivWithinAt_diff_singleton] #align has_deriv_within_at_Ioi_iff_Ici hasDerivWithinAt_Ioi_iff_Ici alias ⟨HasDerivWithinAt.Ici_of_Ioi, HasDerivWithinAt.Ioi_of_Ici⟩ := hasDerivWithinAt_Ioi_iff_Ici #align has_deriv_within_at.Ici_of_Ioi HasDerivWithinAt.Ici_of_Ioi #align has_deriv_within_at.Ioi_of_Ici HasDerivWithinAt.Ioi_of_Ici @[simp] theorem hasDerivWithinAt_Iio_iff_Iic [PartialOrder 𝕜] : HasDerivWithinAt f f' (Iio x) x ↔ HasDerivWithinAt f f' (Iic x) x := by rw [← Iic_diff_right, hasDerivWithinAt_diff_singleton] #align has_deriv_within_at_Iio_iff_Iic hasDerivWithinAt_Iio_iff_Iic alias ⟨HasDerivWithinAt.Iic_of_Iio, HasDerivWithinAt.Iio_of_Iic⟩ := hasDerivWithinAt_Iio_iff_Iic #align has_deriv_within_at.Iic_of_Iio HasDerivWithinAt.Iic_of_Iio #align has_deriv_within_at.Iio_of_Iic HasDerivWithinAt.Iio_of_Iic theorem HasDerivWithinAt.Ioi_iff_Ioo [LinearOrder 𝕜] [OrderClosedTopology 𝕜] {x y : 𝕜} (h : x < y) : HasDerivWithinAt f f' (Ioo x y) x ↔ HasDerivWithinAt f f' (Ioi x) x := hasFDerivWithinAt_inter <| Iio_mem_nhds h #align has_deriv_within_at.Ioi_iff_Ioo HasDerivWithinAt.Ioi_iff_Ioo alias ⟨HasDerivWithinAt.Ioi_of_Ioo, HasDerivWithinAt.Ioo_of_Ioi⟩ := HasDerivWithinAt.Ioi_iff_Ioo #align has_deriv_within_at.Ioi_of_Ioo HasDerivWithinAt.Ioi_of_Ioo #align has_deriv_within_at.Ioo_of_Ioi HasDerivWithinAt.Ioo_of_Ioi theorem hasDerivAt_iff_isLittleO_nhds_zero : HasDerivAt f f' x ↔ (fun h => f (x + h) - f x - h • f') =o[𝓝 0] fun h => h := hasFDerivAt_iff_isLittleO_nhds_zero #align has_deriv_at_iff_is_o_nhds_zero hasDerivAt_iff_isLittleO_nhds_zero theorem HasDerivAtFilter.mono (h : HasDerivAtFilter f f' x L₂) (hst : L₁ ≤ L₂) : HasDerivAtFilter f f' x L₁ := HasFDerivAtFilter.mono h hst #align has_deriv_at_filter.mono HasDerivAtFilter.mono theorem HasDerivWithinAt.mono (h : HasDerivWithinAt f f' t x) (hst : s ⊆ t) : HasDerivWithinAt f f' s x := HasFDerivWithinAt.mono h hst #align has_deriv_within_at.mono HasDerivWithinAt.mono theorem HasDerivWithinAt.mono_of_mem (h : HasDerivWithinAt f f' t x) (hst : t ∈ 𝓝[s] x) : HasDerivWithinAt f f' s x := HasFDerivWithinAt.mono_of_mem h hst #align has_deriv_within_at.mono_of_mem HasDerivWithinAt.mono_of_mem #align has_deriv_within_at.nhds_within HasDerivWithinAt.mono_of_mem theorem HasDerivAt.hasDerivAtFilter (h : HasDerivAt f f' x) (hL : L ≤ 𝓝 x) : HasDerivAtFilter f f' x L := HasFDerivAt.hasFDerivAtFilter h hL #align has_deriv_at.has_deriv_at_filter HasDerivAt.hasDerivAtFilter theorem HasDerivAt.hasDerivWithinAt (h : HasDerivAt f f' x) : HasDerivWithinAt f f' s x := HasFDerivAt.hasFDerivWithinAt h #align has_deriv_at.has_deriv_within_at HasDerivAt.hasDerivWithinAt theorem HasDerivWithinAt.differentiableWithinAt (h : HasDerivWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := HasFDerivWithinAt.differentiableWithinAt h #align has_deriv_within_at.differentiable_within_at HasDerivWithinAt.differentiableWithinAt theorem HasDerivAt.differentiableAt (h : HasDerivAt f f' x) : DifferentiableAt 𝕜 f x := HasFDerivAt.differentiableAt h #align has_deriv_at.differentiable_at HasDerivAt.differentiableAt @[simp] theorem hasDerivWithinAt_univ : HasDerivWithinAt f f' univ x ↔ HasDerivAt f f' x := hasFDerivWithinAt_univ #align has_deriv_within_at_univ hasDerivWithinAt_univ theorem HasDerivAt.unique (h₀ : HasDerivAt f f₀' x) (h₁ : HasDerivAt f f₁' x) : f₀' = f₁' := smulRight_one_eq_iff.mp <| h₀.hasFDerivAt.unique h₁ #align has_deriv_at.unique HasDerivAt.unique theorem hasDerivWithinAt_inter' (h : t ∈ 𝓝[s] x) : HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x := hasFDerivWithinAt_inter' h #align has_deriv_within_at_inter' hasDerivWithinAt_inter' theorem hasDerivWithinAt_inter (h : t ∈ 𝓝 x) : HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x := hasFDerivWithinAt_inter h #align has_deriv_within_at_inter hasDerivWithinAt_inter theorem HasDerivWithinAt.union (hs : HasDerivWithinAt f f' s x) (ht : HasDerivWithinAt f f' t x) : HasDerivWithinAt f f' (s ∪ t) x := hs.hasFDerivWithinAt.union ht.hasFDerivWithinAt #align has_deriv_within_at.union HasDerivWithinAt.union theorem HasDerivWithinAt.hasDerivAt (h : HasDerivWithinAt f f' s x) (hs : s ∈ 𝓝 x) : HasDerivAt f f' x := HasFDerivWithinAt.hasFDerivAt h hs #align has_deriv_within_at.has_deriv_at HasDerivWithinAt.hasDerivAt theorem DifferentiableWithinAt.hasDerivWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasDerivWithinAt f (derivWithin f s x) s x := h.hasFDerivWithinAt.hasDerivWithinAt #align differentiable_within_at.has_deriv_within_at DifferentiableWithinAt.hasDerivWithinAt theorem DifferentiableAt.hasDerivAt (h : DifferentiableAt 𝕜 f x) : HasDerivAt f (deriv f x) x := h.hasFDerivAt.hasDerivAt #align differentiable_at.has_deriv_at DifferentiableAt.hasDerivAt @[simp] theorem hasDerivAt_deriv_iff : HasDerivAt f (deriv f x) x ↔ DifferentiableAt 𝕜 f x := ⟨fun h => h.differentiableAt, fun h => h.hasDerivAt⟩ #align has_deriv_at_deriv_iff hasDerivAt_deriv_iff @[simp] theorem hasDerivWithinAt_derivWithin_iff : HasDerivWithinAt f (derivWithin f s x) s x ↔ DifferentiableWithinAt 𝕜 f s x := ⟨fun h => h.differentiableWithinAt, fun h => h.hasDerivWithinAt⟩ #align has_deriv_within_at_deriv_within_iff hasDerivWithinAt_derivWithin_iff theorem DifferentiableOn.hasDerivAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasDerivAt f (deriv f x) x := (h.hasFDerivAt hs).hasDerivAt #align differentiable_on.has_deriv_at DifferentiableOn.hasDerivAt theorem HasDerivAt.deriv (h : HasDerivAt f f' x) : deriv f x = f' := h.differentiableAt.hasDerivAt.unique h #align has_deriv_at.deriv HasDerivAt.deriv theorem deriv_eq {f' : 𝕜 → F} (h : ∀ x, HasDerivAt f (f' x) x) : deriv f = f' := funext fun x => (h x).deriv #align deriv_eq deriv_eq theorem HasDerivWithinAt.derivWithin (h : HasDerivWithinAt f f' s x) (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin f s x = f' := hxs.eq_deriv _ h.differentiableWithinAt.hasDerivWithinAt h #align has_deriv_within_at.deriv_within HasDerivWithinAt.derivWithin theorem fderivWithin_derivWithin : (fderivWithin 𝕜 f s x : 𝕜 → F) 1 = derivWithin f s x := rfl #align fderiv_within_deriv_within fderivWithin_derivWithin theorem derivWithin_fderivWithin : smulRight (1 : 𝕜 →L[𝕜] 𝕜) (derivWithin f s x) = fderivWithin 𝕜 f s x := by simp [derivWithin] #align deriv_within_fderiv_within derivWithin_fderivWithin
Mathlib/Analysis/Calculus/Deriv/Basic.lean
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theorem norm_derivWithin_eq_norm_fderivWithin : ‖derivWithin f s x‖ = ‖fderivWithin 𝕜 f s x‖ := by
simp [← derivWithin_fderivWithin]
import Mathlib.Analysis.Normed.Group.Seminorm import Mathlib.Order.LiminfLimsup import Mathlib.Topology.Instances.Rat import Mathlib.Topology.MetricSpace.Algebra import Mathlib.Topology.MetricSpace.IsometricSMul import Mathlib.Topology.Sequences #align_import analysis.normed.group.basic from "leanprover-community/mathlib"@"41bef4ae1254365bc190aee63b947674d2977f01" variable {𝓕 𝕜 α ι κ E F G : Type*} open Filter Function Metric Bornology open ENNReal Filter NNReal Uniformity Pointwise Topology @[notation_class] class Norm (E : Type*) where norm : E → ℝ #align has_norm Norm @[notation_class] class NNNorm (E : Type*) where nnnorm : E → ℝ≥0 #align has_nnnorm NNNorm export Norm (norm) export NNNorm (nnnorm) @[inherit_doc] notation "‖" e "‖" => norm e @[inherit_doc] notation "‖" e "‖₊" => nnnorm e class SeminormedAddGroup (E : Type*) extends Norm E, AddGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_group SeminormedAddGroup @[to_additive] class SeminormedGroup (E : Type*) extends Norm E, Group E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_group SeminormedGroup class NormedAddGroup (E : Type*) extends Norm E, AddGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_group NormedAddGroup @[to_additive] class NormedGroup (E : Type*) extends Norm E, Group E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_group NormedGroup class SeminormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align seminormed_add_comm_group SeminormedAddCommGroup @[to_additive] class SeminormedCommGroup (E : Type*) extends Norm E, CommGroup E, PseudoMetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align seminormed_comm_group SeminormedCommGroup class NormedAddCommGroup (E : Type*) extends Norm E, AddCommGroup E, MetricSpace E where dist := fun x y => ‖x - y‖ dist_eq : ∀ x y, dist x y = ‖x - y‖ := by aesop #align normed_add_comm_group NormedAddCommGroup @[to_additive] class NormedCommGroup (E : Type*) extends Norm E, CommGroup E, MetricSpace E where dist := fun x y => ‖x / y‖ dist_eq : ∀ x y, dist x y = ‖x / y‖ := by aesop #align normed_comm_group NormedCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedGroup.toSeminormedGroup [NormedGroup E] : SeminormedGroup E := { ‹NormedGroup E› with } #align normed_group.to_seminormed_group NormedGroup.toSeminormedGroup #align normed_add_group.to_seminormed_add_group NormedAddGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toSeminormedCommGroup [NormedCommGroup E] : SeminormedCommGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_seminormed_comm_group NormedCommGroup.toSeminormedCommGroup #align normed_add_comm_group.to_seminormed_add_comm_group NormedAddCommGroup.toSeminormedAddCommGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) SeminormedCommGroup.toSeminormedGroup [SeminormedCommGroup E] : SeminormedGroup E := { ‹SeminormedCommGroup E› with } #align seminormed_comm_group.to_seminormed_group SeminormedCommGroup.toSeminormedGroup #align seminormed_add_comm_group.to_seminormed_add_group SeminormedAddCommGroup.toSeminormedAddGroup -- See note [lower instance priority] @[to_additive] instance (priority := 100) NormedCommGroup.toNormedGroup [NormedCommGroup E] : NormedGroup E := { ‹NormedCommGroup E› with } #align normed_comm_group.to_normed_group NormedCommGroup.toNormedGroup #align normed_add_comm_group.to_normed_add_group NormedAddCommGroup.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddGroup` from a `SeminormedAddGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddGroup` instance as a special case of a more general `SeminormedAddGroup` instance."] def NormedGroup.ofSeparation [SeminormedGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedGroup E where dist_eq := ‹SeminormedGroup E›.dist_eq toMetricSpace := { eq_of_dist_eq_zero := fun hxy => div_eq_one.1 <| h _ <| by exact (‹SeminormedGroup E›.dist_eq _ _).symm.trans hxy } -- Porting note: the `rwa` no longer worked, but it was easy enough to provide the term. -- however, notice that if you make `x` and `y` accessible, then the following does work: -- `have := ‹SeminormedGroup E›.dist_eq x y; rwa [← this]`, so I'm not sure why the `rwa` -- was broken. #align normed_group.of_separation NormedGroup.ofSeparation #align normed_add_group.of_separation NormedAddGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a `NormedAddCommGroup` from a `SeminormedAddCommGroup` satisfying `∀ x, ‖x‖ = 0 → x = 0`. This avoids having to go back to the `(Pseudo)MetricSpace` level when declaring a `NormedAddCommGroup` instance as a special case of a more general `SeminormedAddCommGroup` instance."] def NormedCommGroup.ofSeparation [SeminormedCommGroup E] (h : ∀ x : E, ‖x‖ = 0 → x = 1) : NormedCommGroup E := { ‹SeminormedCommGroup E›, NormedGroup.ofSeparation h with } #align normed_comm_group.of_separation NormedCommGroup.ofSeparation #align normed_add_comm_group.of_separation NormedAddCommGroup.ofSeparation -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant distance."] def SeminormedGroup.ofMulDist [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y #align seminormed_group.of_mul_dist SeminormedGroup.ofMulDist #align seminormed_add_group.of_add_dist SeminormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedGroup.ofMulDist' [Norm E] [Group E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedGroup E where dist_eq x y := by rw [h₁]; apply le_antisymm · simpa only [div_mul_cancel, one_mul] using h₂ (x / y) 1 y · simpa only [div_eq_mul_inv, ← mul_right_inv y] using h₂ _ _ _ #align seminormed_group.of_mul_dist' SeminormedGroup.ofMulDist' #align seminormed_add_group.of_add_dist' SeminormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist SeminormedCommGroup.ofMulDist #align seminormed_add_comm_group.of_add_dist SeminormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a translation-invariant pseudodistance."] def SeminormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [PseudoMetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : SeminormedCommGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align seminormed_comm_group.of_mul_dist' SeminormedCommGroup.ofMulDist' #align seminormed_add_comm_group.of_add_dist' SeminormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant distance."] def NormedGroup.ofMulDist [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedGroup E := { SeminormedGroup.ofMulDist h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist NormedGroup.ofMulDist #align normed_add_group.of_add_dist NormedAddGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedGroup.ofMulDist' [Norm E] [Group E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedGroup E := { SeminormedGroup.ofMulDist' h₁ h₂ with eq_of_dist_eq_zero := eq_of_dist_eq_zero } #align normed_group.of_mul_dist' NormedGroup.ofMulDist' #align normed_add_group.of_add_dist' NormedAddGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist x y ≤ dist (x * z) (y * z)) : NormedCommGroup E := { NormedGroup.ofMulDist h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist NormedCommGroup.ofMulDist #align normed_add_comm_group.of_add_dist NormedAddCommGroup.ofAddDist -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a translation-invariant pseudodistance."] def NormedCommGroup.ofMulDist' [Norm E] [CommGroup E] [MetricSpace E] (h₁ : ∀ x : E, ‖x‖ = dist x 1) (h₂ : ∀ x y z : E, dist (x * z) (y * z) ≤ dist x y) : NormedCommGroup E := { NormedGroup.ofMulDist' h₁ h₂ with mul_comm := mul_comm } #align normed_comm_group.of_mul_dist' NormedCommGroup.ofMulDist' #align normed_add_comm_group.of_add_dist' NormedAddCommGroup.ofAddDist' -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedGroup [Group E] (f : GroupSeminorm E) : SeminormedGroup E where dist x y := f (x / y) norm := f dist_eq x y := rfl dist_self x := by simp only [div_self', map_one_eq_zero] dist_triangle := le_map_div_add_map_div f dist_comm := map_div_rev f edist_dist x y := by exact ENNReal.coe_nnreal_eq _ -- Porting note: how did `mathlib3` solve this automatically? #align group_seminorm.to_seminormed_group GroupSeminorm.toSeminormedGroup #align add_group_seminorm.to_seminormed_add_group AddGroupSeminorm.toSeminormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a seminormed group from a seminorm, i.e., registering the pseudodistance and the pseudometric space structure from the seminorm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupSeminorm.toSeminormedCommGroup [CommGroup E] (f : GroupSeminorm E) : SeminormedCommGroup E := { f.toSeminormedGroup with mul_comm := mul_comm } #align group_seminorm.to_seminormed_comm_group GroupSeminorm.toSeminormedCommGroup #align add_group_seminorm.to_seminormed_add_comm_group AddGroupSeminorm.toSeminormedAddCommGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedGroup [Group E] (f : GroupNorm E) : NormedGroup E := { f.toGroupSeminorm.toSeminormedGroup with eq_of_dist_eq_zero := fun h => div_eq_one.1 <| eq_one_of_map_eq_zero f h } #align group_norm.to_normed_group GroupNorm.toNormedGroup #align add_group_norm.to_normed_add_group AddGroupNorm.toNormedAddGroup -- See note [reducible non-instances] @[to_additive (attr := reducible) "Construct a normed group from a norm, i.e., registering the distance and the metric space structure from the norm properties. Note that in most cases this instance creates bad definitional equalities (e.g., it does not take into account a possibly existing `UniformSpace` instance on `E`)."] def GroupNorm.toNormedCommGroup [CommGroup E] (f : GroupNorm E) : NormedCommGroup E := { f.toNormedGroup with mul_comm := mul_comm } #align group_norm.to_normed_comm_group GroupNorm.toNormedCommGroup #align add_group_norm.to_normed_add_comm_group AddGroupNorm.toNormedAddCommGroup instance PUnit.normedAddCommGroup : NormedAddCommGroup PUnit where norm := Function.const _ 0 dist_eq _ _ := rfl @[simp] theorem PUnit.norm_eq_zero (r : PUnit) : ‖r‖ = 0 := rfl #align punit.norm_eq_zero PUnit.norm_eq_zero section SeminormedGroup variable [SeminormedGroup E] [SeminormedGroup F] [SeminormedGroup G] {s : Set E} {a a₁ a₂ b b₁ b₂ : E} {r r₁ r₂ : ℝ} @[to_additive] theorem dist_eq_norm_div (a b : E) : dist a b = ‖a / b‖ := SeminormedGroup.dist_eq _ _ #align dist_eq_norm_div dist_eq_norm_div #align dist_eq_norm_sub dist_eq_norm_sub @[to_additive] theorem dist_eq_norm_div' (a b : E) : dist a b = ‖b / a‖ := by rw [dist_comm, dist_eq_norm_div] #align dist_eq_norm_div' dist_eq_norm_div' #align dist_eq_norm_sub' dist_eq_norm_sub' alias dist_eq_norm := dist_eq_norm_sub #align dist_eq_norm dist_eq_norm alias dist_eq_norm' := dist_eq_norm_sub' #align dist_eq_norm' dist_eq_norm' @[to_additive] instance NormedGroup.to_isometricSMul_right : IsometricSMul Eᵐᵒᵖ E := ⟨fun a => Isometry.of_dist_eq fun b c => by simp [dist_eq_norm_div]⟩ #align normed_group.to_has_isometric_smul_right NormedGroup.to_isometricSMul_right #align normed_add_group.to_has_isometric_vadd_right NormedAddGroup.to_isometricVAdd_right @[to_additive (attr := simp)] theorem dist_one_right (a : E) : dist a 1 = ‖a‖ := by rw [dist_eq_norm_div, div_one] #align dist_one_right dist_one_right #align dist_zero_right dist_zero_right @[to_additive] theorem inseparable_one_iff_norm {a : E} : Inseparable a 1 ↔ ‖a‖ = 0 := by rw [Metric.inseparable_iff, dist_one_right] @[to_additive (attr := simp)] theorem dist_one_left : dist (1 : E) = norm := funext fun a => by rw [dist_comm, dist_one_right] #align dist_one_left dist_one_left #align dist_zero_left dist_zero_left @[to_additive] theorem Isometry.norm_map_of_map_one {f : E → F} (hi : Isometry f) (h₁ : f 1 = 1) (x : E) : ‖f x‖ = ‖x‖ := by rw [← dist_one_right, ← h₁, hi.dist_eq, dist_one_right] #align isometry.norm_map_of_map_one Isometry.norm_map_of_map_one #align isometry.norm_map_of_map_zero Isometry.norm_map_of_map_zero @[to_additive (attr := simp) comap_norm_atTop] theorem comap_norm_atTop' : comap norm atTop = cobounded E := by simpa only [dist_one_right] using comap_dist_right_atTop (1 : E) @[to_additive Filter.HasBasis.cobounded_of_norm] lemma Filter.HasBasis.cobounded_of_norm' {ι : Sort*} {p : ι → Prop} {s : ι → Set ℝ} (h : HasBasis atTop p s) : HasBasis (cobounded E) p fun i ↦ norm ⁻¹' s i := comap_norm_atTop' (E := E) ▸ h.comap _ @[to_additive Filter.hasBasis_cobounded_norm] lemma Filter.hasBasis_cobounded_norm' : HasBasis (cobounded E) (fun _ ↦ True) ({x | · ≤ ‖x‖}) := atTop_basis.cobounded_of_norm' @[to_additive (attr := simp) tendsto_norm_atTop_iff_cobounded] theorem tendsto_norm_atTop_iff_cobounded' {f : α → E} {l : Filter α} : Tendsto (‖f ·‖) l atTop ↔ Tendsto f l (cobounded E) := by rw [← comap_norm_atTop', tendsto_comap_iff]; rfl @[to_additive tendsto_norm_cobounded_atTop] theorem tendsto_norm_cobounded_atTop' : Tendsto norm (cobounded E) atTop := tendsto_norm_atTop_iff_cobounded'.2 tendsto_id @[to_additive eventually_cobounded_le_norm] lemma eventually_cobounded_le_norm' (a : ℝ) : ∀ᶠ x in cobounded E, a ≤ ‖x‖ := tendsto_norm_cobounded_atTop'.eventually_ge_atTop a @[to_additive tendsto_norm_cocompact_atTop] theorem tendsto_norm_cocompact_atTop' [ProperSpace E] : Tendsto norm (cocompact E) atTop := cobounded_eq_cocompact (α := E) ▸ tendsto_norm_cobounded_atTop' #align tendsto_norm_cocompact_at_top' tendsto_norm_cocompact_atTop' #align tendsto_norm_cocompact_at_top tendsto_norm_cocompact_atTop @[to_additive] theorem norm_div_rev (a b : E) : ‖a / b‖ = ‖b / a‖ := by simpa only [dist_eq_norm_div] using dist_comm a b #align norm_div_rev norm_div_rev #align norm_sub_rev norm_sub_rev @[to_additive (attr := simp) norm_neg] theorem norm_inv' (a : E) : ‖a⁻¹‖ = ‖a‖ := by simpa using norm_div_rev 1 a #align norm_inv' norm_inv' #align norm_neg norm_neg open scoped symmDiff in @[to_additive] theorem dist_mulIndicator (s t : Set α) (f : α → E) (x : α) : dist (s.mulIndicator f x) (t.mulIndicator f x) = ‖(s ∆ t).mulIndicator f x‖ := by rw [dist_eq_norm_div, Set.apply_mulIndicator_symmDiff norm_inv'] @[to_additive (attr := simp)] theorem dist_mul_self_right (a b : E) : dist b (a * b) = ‖a‖ := by rw [← dist_one_left, ← dist_mul_right 1 a b, one_mul] #align dist_mul_self_right dist_mul_self_right #align dist_add_self_right dist_add_self_right @[to_additive (attr := simp)] theorem dist_mul_self_left (a b : E) : dist (a * b) b = ‖a‖ := by rw [dist_comm, dist_mul_self_right] #align dist_mul_self_left dist_mul_self_left #align dist_add_self_left dist_add_self_left @[to_additive (attr := simp)] theorem dist_div_eq_dist_mul_left (a b c : E) : dist (a / b) c = dist a (c * b) := by rw [← dist_mul_right _ _ b, div_mul_cancel] #align dist_div_eq_dist_mul_left dist_div_eq_dist_mul_left #align dist_sub_eq_dist_add_left dist_sub_eq_dist_add_left @[to_additive (attr := simp)] theorem dist_div_eq_dist_mul_right (a b c : E) : dist a (b / c) = dist (a * c) b := by rw [← dist_mul_right _ _ c, div_mul_cancel] #align dist_div_eq_dist_mul_right dist_div_eq_dist_mul_right #align dist_sub_eq_dist_add_right dist_sub_eq_dist_add_right @[to_additive (attr := simp)] lemma Filter.inv_cobounded : (cobounded E)⁻¹ = cobounded E := by simp only [← comap_norm_atTop', ← Filter.comap_inv, comap_comap, (· ∘ ·), norm_inv'] @[to_additive "In a (semi)normed group, negation `x ↦ -x` tends to infinity at infinity."] theorem Filter.tendsto_inv_cobounded : Tendsto Inv.inv (cobounded E) (cobounded E) := inv_cobounded.le #align filter.tendsto_inv_cobounded Filter.tendsto_inv_cobounded #align filter.tendsto_neg_cobounded Filter.tendsto_neg_cobounded @[to_additive norm_add_le "**Triangle inequality** for the norm."] theorem norm_mul_le' (a b : E) : ‖a * b‖ ≤ ‖a‖ + ‖b‖ := by simpa [dist_eq_norm_div] using dist_triangle a 1 b⁻¹ #align norm_mul_le' norm_mul_le' #align norm_add_le norm_add_le @[to_additive] theorem norm_mul_le_of_le (h₁ : ‖a₁‖ ≤ r₁) (h₂ : ‖a₂‖ ≤ r₂) : ‖a₁ * a₂‖ ≤ r₁ + r₂ := (norm_mul_le' a₁ a₂).trans <| add_le_add h₁ h₂ #align norm_mul_le_of_le norm_mul_le_of_le #align norm_add_le_of_le norm_add_le_of_le @[to_additive norm_add₃_le] theorem norm_mul₃_le (a b c : E) : ‖a * b * c‖ ≤ ‖a‖ + ‖b‖ + ‖c‖ := norm_mul_le_of_le (norm_mul_le' _ _) le_rfl #align norm_mul₃_le norm_mul₃_le #align norm_add₃_le norm_add₃_le @[to_additive] lemma norm_div_le_norm_div_add_norm_div (a b c : E) : ‖a / c‖ ≤ ‖a / b‖ + ‖b / c‖ := by simpa only [dist_eq_norm_div] using dist_triangle a b c @[to_additive (attr := simp) norm_nonneg] theorem norm_nonneg' (a : E) : 0 ≤ ‖a‖ := by rw [← dist_one_right] exact dist_nonneg #align norm_nonneg' norm_nonneg' #align norm_nonneg norm_nonneg @[to_additive (attr := simp) abs_norm] theorem abs_norm' (z : E) : |‖z‖| = ‖z‖ := abs_of_nonneg <| norm_nonneg' _ #align abs_norm abs_norm @[to_additive (attr := simp) norm_zero] theorem norm_one' : ‖(1 : E)‖ = 0 := by rw [← dist_one_right, dist_self] #align norm_one' norm_one' #align norm_zero norm_zero @[to_additive] theorem ne_one_of_norm_ne_zero : ‖a‖ ≠ 0 → a ≠ 1 := mt <| by rintro rfl exact norm_one' #align ne_one_of_norm_ne_zero ne_one_of_norm_ne_zero #align ne_zero_of_norm_ne_zero ne_zero_of_norm_ne_zero @[to_additive (attr := nontriviality) norm_of_subsingleton] theorem norm_of_subsingleton' [Subsingleton E] (a : E) : ‖a‖ = 0 := by rw [Subsingleton.elim a 1, norm_one'] #align norm_of_subsingleton' norm_of_subsingleton' #align norm_of_subsingleton norm_of_subsingleton @[to_additive zero_lt_one_add_norm_sq] theorem zero_lt_one_add_norm_sq' (x : E) : 0 < 1 + ‖x‖ ^ 2 := by positivity #align zero_lt_one_add_norm_sq' zero_lt_one_add_norm_sq' #align zero_lt_one_add_norm_sq zero_lt_one_add_norm_sq @[to_additive] theorem norm_div_le (a b : E) : ‖a / b‖ ≤ ‖a‖ + ‖b‖ := by simpa [dist_eq_norm_div] using dist_triangle a 1 b #align norm_div_le norm_div_le #align norm_sub_le norm_sub_le @[to_additive] theorem norm_div_le_of_le {r₁ r₂ : ℝ} (H₁ : ‖a₁‖ ≤ r₁) (H₂ : ‖a₂‖ ≤ r₂) : ‖a₁ / a₂‖ ≤ r₁ + r₂ := (norm_div_le a₁ a₂).trans <| add_le_add H₁ H₂ #align norm_div_le_of_le norm_div_le_of_le #align norm_sub_le_of_le norm_sub_le_of_le @[to_additive dist_le_norm_add_norm] theorem dist_le_norm_add_norm' (a b : E) : dist a b ≤ ‖a‖ + ‖b‖ := by rw [dist_eq_norm_div] apply norm_div_le #align dist_le_norm_add_norm' dist_le_norm_add_norm' #align dist_le_norm_add_norm dist_le_norm_add_norm @[to_additive abs_norm_sub_norm_le] theorem abs_norm_sub_norm_le' (a b : E) : |‖a‖ - ‖b‖| ≤ ‖a / b‖ := by simpa [dist_eq_norm_div] using abs_dist_sub_le a b 1 #align abs_norm_sub_norm_le' abs_norm_sub_norm_le' #align abs_norm_sub_norm_le abs_norm_sub_norm_le @[to_additive norm_sub_norm_le] theorem norm_sub_norm_le' (a b : E) : ‖a‖ - ‖b‖ ≤ ‖a / b‖ := (le_abs_self _).trans (abs_norm_sub_norm_le' a b) #align norm_sub_norm_le' norm_sub_norm_le' #align norm_sub_norm_le norm_sub_norm_le @[to_additive dist_norm_norm_le] theorem dist_norm_norm_le' (a b : E) : dist ‖a‖ ‖b‖ ≤ ‖a / b‖ := abs_norm_sub_norm_le' a b #align dist_norm_norm_le' dist_norm_norm_le' #align dist_norm_norm_le dist_norm_norm_le @[to_additive] theorem norm_le_norm_add_norm_div' (u v : E) : ‖u‖ ≤ ‖v‖ + ‖u / v‖ := by rw [add_comm] refine (norm_mul_le' _ _).trans_eq' ?_ rw [div_mul_cancel] #align norm_le_norm_add_norm_div' norm_le_norm_add_norm_div' #align norm_le_norm_add_norm_sub' norm_le_norm_add_norm_sub' @[to_additive] theorem norm_le_norm_add_norm_div (u v : E) : ‖v‖ ≤ ‖u‖ + ‖u / v‖ := by rw [norm_div_rev] exact norm_le_norm_add_norm_div' v u #align norm_le_norm_add_norm_div norm_le_norm_add_norm_div #align norm_le_norm_add_norm_sub norm_le_norm_add_norm_sub alias norm_le_insert' := norm_le_norm_add_norm_sub' #align norm_le_insert' norm_le_insert' alias norm_le_insert := norm_le_norm_add_norm_sub #align norm_le_insert norm_le_insert @[to_additive] theorem norm_le_mul_norm_add (u v : E) : ‖u‖ ≤ ‖u * v‖ + ‖v‖ := calc ‖u‖ = ‖u * v / v‖ := by rw [mul_div_cancel_right] _ ≤ ‖u * v‖ + ‖v‖ := norm_div_le _ _ #align norm_le_mul_norm_add norm_le_mul_norm_add #align norm_le_add_norm_add norm_le_add_norm_add @[to_additive ball_eq] theorem ball_eq' (y : E) (ε : ℝ) : ball y ε = { x | ‖x / y‖ < ε } := Set.ext fun a => by simp [dist_eq_norm_div] #align ball_eq' ball_eq' #align ball_eq ball_eq @[to_additive] theorem ball_one_eq (r : ℝ) : ball (1 : E) r = { x | ‖x‖ < r } := Set.ext fun a => by simp #align ball_one_eq ball_one_eq #align ball_zero_eq ball_zero_eq @[to_additive mem_ball_iff_norm] theorem mem_ball_iff_norm'' : b ∈ ball a r ↔ ‖b / a‖ < r := by rw [mem_ball, dist_eq_norm_div] #align mem_ball_iff_norm'' mem_ball_iff_norm'' #align mem_ball_iff_norm mem_ball_iff_norm @[to_additive mem_ball_iff_norm'] theorem mem_ball_iff_norm''' : b ∈ ball a r ↔ ‖a / b‖ < r := by rw [mem_ball', dist_eq_norm_div] #align mem_ball_iff_norm''' mem_ball_iff_norm''' #align mem_ball_iff_norm' mem_ball_iff_norm' @[to_additive] -- Porting note (#10618): `simp` can prove it theorem mem_ball_one_iff : a ∈ ball (1 : E) r ↔ ‖a‖ < r := by rw [mem_ball, dist_one_right] #align mem_ball_one_iff mem_ball_one_iff #align mem_ball_zero_iff mem_ball_zero_iff @[to_additive mem_closedBall_iff_norm] theorem mem_closedBall_iff_norm'' : b ∈ closedBall a r ↔ ‖b / a‖ ≤ r := by rw [mem_closedBall, dist_eq_norm_div] #align mem_closed_ball_iff_norm'' mem_closedBall_iff_norm'' #align mem_closed_ball_iff_norm mem_closedBall_iff_norm @[to_additive] -- Porting note (#10618): `simp` can prove it theorem mem_closedBall_one_iff : a ∈ closedBall (1 : E) r ↔ ‖a‖ ≤ r := by rw [mem_closedBall, dist_one_right] #align mem_closed_ball_one_iff mem_closedBall_one_iff #align mem_closed_ball_zero_iff mem_closedBall_zero_iff @[to_additive mem_closedBall_iff_norm'] theorem mem_closedBall_iff_norm''' : b ∈ closedBall a r ↔ ‖a / b‖ ≤ r := by rw [mem_closedBall', dist_eq_norm_div] #align mem_closed_ball_iff_norm''' mem_closedBall_iff_norm''' #align mem_closed_ball_iff_norm' mem_closedBall_iff_norm' @[to_additive norm_le_of_mem_closedBall] theorem norm_le_of_mem_closedBall' (h : b ∈ closedBall a r) : ‖b‖ ≤ ‖a‖ + r := (norm_le_norm_add_norm_div' _ _).trans <| add_le_add_left (by rwa [← dist_eq_norm_div]) _ #align norm_le_of_mem_closed_ball' norm_le_of_mem_closedBall' #align norm_le_of_mem_closed_ball norm_le_of_mem_closedBall @[to_additive norm_le_norm_add_const_of_dist_le] theorem norm_le_norm_add_const_of_dist_le' : dist a b ≤ r → ‖a‖ ≤ ‖b‖ + r := norm_le_of_mem_closedBall' #align norm_le_norm_add_const_of_dist_le' norm_le_norm_add_const_of_dist_le' #align norm_le_norm_add_const_of_dist_le norm_le_norm_add_const_of_dist_le @[to_additive norm_lt_of_mem_ball] theorem norm_lt_of_mem_ball' (h : b ∈ ball a r) : ‖b‖ < ‖a‖ + r := (norm_le_norm_add_norm_div' _ _).trans_lt <| add_lt_add_left (by rwa [← dist_eq_norm_div]) _ #align norm_lt_of_mem_ball' norm_lt_of_mem_ball' #align norm_lt_of_mem_ball norm_lt_of_mem_ball @[to_additive] theorem norm_div_sub_norm_div_le_norm_div (u v w : E) : ‖u / w‖ - ‖v / w‖ ≤ ‖u / v‖ := by simpa only [div_div_div_cancel_right'] using norm_sub_norm_le' (u / w) (v / w) #align norm_div_sub_norm_div_le_norm_div norm_div_sub_norm_div_le_norm_div #align norm_sub_sub_norm_sub_le_norm_sub norm_sub_sub_norm_sub_le_norm_sub @[to_additive isBounded_iff_forall_norm_le] theorem isBounded_iff_forall_norm_le' : Bornology.IsBounded s ↔ ∃ C, ∀ x ∈ s, ‖x‖ ≤ C := by simpa only [Set.subset_def, mem_closedBall_one_iff] using isBounded_iff_subset_closedBall (1 : E) #align bounded_iff_forall_norm_le' isBounded_iff_forall_norm_le' #align bounded_iff_forall_norm_le isBounded_iff_forall_norm_le alias ⟨Bornology.IsBounded.exists_norm_le', _⟩ := isBounded_iff_forall_norm_le' #align metric.bounded.exists_norm_le' Bornology.IsBounded.exists_norm_le' alias ⟨Bornology.IsBounded.exists_norm_le, _⟩ := isBounded_iff_forall_norm_le #align metric.bounded.exists_norm_le Bornology.IsBounded.exists_norm_le attribute [to_additive existing exists_norm_le] Bornology.IsBounded.exists_norm_le' @[to_additive exists_pos_norm_le] theorem Bornology.IsBounded.exists_pos_norm_le' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ ≤ R := let ⟨R₀, hR₀⟩ := hs.exists_norm_le' ⟨max R₀ 1, by positivity, fun x hx => (hR₀ x hx).trans <| le_max_left _ _⟩ #align metric.bounded.exists_pos_norm_le' Bornology.IsBounded.exists_pos_norm_le' #align metric.bounded.exists_pos_norm_le Bornology.IsBounded.exists_pos_norm_le @[to_additive Bornology.IsBounded.exists_pos_norm_lt] theorem Bornology.IsBounded.exists_pos_norm_lt' (hs : IsBounded s) : ∃ R > 0, ∀ x ∈ s, ‖x‖ < R := let ⟨R, hR₀, hR⟩ := hs.exists_pos_norm_le' ⟨R + 1, by positivity, fun x hx ↦ (hR x hx).trans_lt (lt_add_one _)⟩ @[to_additive (attr := simp 1001) mem_sphere_iff_norm] -- Porting note: increase priority so the left-hand side doesn't reduce theorem mem_sphere_iff_norm' : b ∈ sphere a r ↔ ‖b / a‖ = r := by simp [dist_eq_norm_div] #align mem_sphere_iff_norm' mem_sphere_iff_norm' #align mem_sphere_iff_norm mem_sphere_iff_norm @[to_additive] -- `simp` can prove this
Mathlib/Analysis/Normed/Group/Basic.lean
782
782
theorem mem_sphere_one_iff_norm : a ∈ sphere (1 : E) r ↔ ‖a‖ = r := by
simp [dist_eq_norm_div]
import Mathlib.RingTheory.Kaehler import Mathlib.RingTheory.Unramified.Basic universe u namespace Algebra variable {R S : Type u} [CommRing R] [CommRing S] [Algebra R S] instance FormallyUnramified.subsingleton_kaehlerDifferential [FormallyUnramified R S] : Subsingleton (Ω[S⁄R]) := by rw [← not_nontrivial_iff_subsingleton] intro h obtain ⟨f₁, f₂, e⟩ := (KaehlerDifferential.endEquiv R S).injective.nontrivial apply e ext1 apply FormallyUnramified.lift_unique' _ _ _ _ (f₁.2.trans f₂.2.symm) rw [← AlgHom.toRingHom_eq_coe, AlgHom.ker_kerSquareLift] exact ⟨_, Ideal.cotangentIdeal_square _⟩ #align algebra.formally_unramified.subsingleton_kaehler_differential Algebra.FormallyUnramified.subsingleton_kaehlerDifferential
Mathlib/RingTheory/Unramified/Derivations.lean
35
47
theorem FormallyUnramified.iff_subsingleton_kaehlerDifferential : FormallyUnramified R S ↔ Subsingleton (Ω[S⁄R]) := by
constructor · intros; infer_instance · intro H constructor intro B _ _ I hI f₁ f₂ e letI := f₁.toRingHom.toAlgebra haveI := IsScalarTower.of_algebraMap_eq' f₁.comp_algebraMap.symm have := ((KaehlerDifferential.linearMapEquivDerivation R S).toEquiv.trans (derivationToSquareZeroEquivLift I hI)).surjective.subsingleton exact Subtype.ext_iff.mp (@Subsingleton.elim _ this ⟨f₁, rfl⟩ ⟨f₂, e.symm⟩)
import Mathlib.FieldTheory.Minpoly.Field #align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f" open Polynomial open Polynomial variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S] variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B] variable {K : Type*} [Field K] -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where gen : S dim : ℕ basis : Basis (Fin dim) R S basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ) #align power_basis PowerBasis -- this is usually not needed because of `basis_eq_pow` but can be needed in some cases; -- in such circumstances, add it manually using `@[simps dim gen basis]`. initialize_simps_projections PowerBasis (-basis) namespace PowerBasis @[simp] theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) := funext pb.basis_eq_pow #align power_basis.coe_basis PowerBasis.coe_basis theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis #align power_basis.finite_dimensional PowerBasis.finite @[deprecated] alias finiteDimensional := PowerBasis.finite theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) : FiniteDimensional.finrank R S = pb.dim := by rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin] #align power_basis.finrank PowerBasis.finrank theorem mem_span_pow' {x y : S} {d : ℕ} : y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔ ∃ f : R[X], f.degree < d ∧ y = aeval x f := by have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by ext n simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range] exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩ simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support, exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum, Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop, LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight, Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe] simp_rw [@eq_comm _ y] exact Iff.rfl #align power_basis.mem_span_pow' PowerBasis.mem_span_pow' theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) : y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔ ∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by rw [mem_span_pow'] constructor <;> · rintro ⟨f, h, hy⟩ refine ⟨f, ?_, hy⟩ by_cases hf : f = 0 · simp only [hf, natDegree_zero, degree_zero] at h ⊢ first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d simp_all only [degree_eq_natDegree hf] · first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h #align power_basis.mem_span_pow PowerBasis.mem_span_pow theorem dim_ne_zero [Nontrivial S] (pb : PowerBasis R S) : pb.dim ≠ 0 := fun h => not_nonempty_iff.mpr (h.symm ▸ Fin.isEmpty : IsEmpty (Fin pb.dim)) pb.basis.index_nonempty #align power_basis.dim_ne_zero PowerBasis.dim_ne_zero theorem dim_pos [Nontrivial S] (pb : PowerBasis R S) : 0 < pb.dim := Nat.pos_of_ne_zero pb.dim_ne_zero #align power_basis.dim_pos PowerBasis.dim_pos theorem exists_eq_aeval [Nontrivial S] (pb : PowerBasis R S) (y : S) : ∃ f : R[X], f.natDegree < pb.dim ∧ y = aeval pb.gen f := (mem_span_pow pb.dim_ne_zero).mp (by simpa using pb.basis.mem_span y) #align power_basis.exists_eq_aeval PowerBasis.exists_eq_aeval theorem exists_eq_aeval' (pb : PowerBasis R S) (y : S) : ∃ f : R[X], y = aeval pb.gen f := by nontriviality S obtain ⟨f, _, hf⟩ := exists_eq_aeval pb y exact ⟨f, hf⟩ #align power_basis.exists_eq_aeval' PowerBasis.exists_eq_aeval'
Mathlib/RingTheory/PowerBasis.lean
138
142
theorem algHom_ext {S' : Type*} [Semiring S'] [Algebra R S'] (pb : PowerBasis R S) ⦃f g : S →ₐ[R] S'⦄ (h : f pb.gen = g pb.gen) : f = g := by
ext x obtain ⟨f, rfl⟩ := pb.exists_eq_aeval' x rw [← Polynomial.aeval_algHom_apply, ← Polynomial.aeval_algHom_apply, h]
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] 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] #align basis.sum_to_matrix_smul_self Basis.sum_toMatrix_smul_self theorem toMatrix_smul {R₁ S : Type*} [CommRing R₁] [Ring S] [Algebra R₁ S] [Fintype ι] [DecidableEq ι] (x : S) (b : Basis ι R₁ S) (w : ι → S) : (b.toMatrix (x • w)) = (Algebra.leftMulMatrix b x) * (b.toMatrix w) := by ext rw [Basis.toMatrix_apply, Pi.smul_apply, smul_eq_mul, ← Algebra.leftMulMatrix_mulVec_repr] rfl
Mathlib/LinearAlgebra/Matrix/Basis.lean
124
128
theorem toMatrix_map_vecMul {S : Type*} [Ring S] [Algebra R S] [Fintype ι] (b : Basis ι R S) (v : ι' → S) : b ᵥ* ((b.toMatrix v).map <| algebraMap R S) = v := by
ext i simp_rw [vecMul, dotProduct, Matrix.map_apply, ← Algebra.commutes, ← Algebra.smul_def, sum_toMatrix_smul_self]
import Mathlib.Data.List.Range import Mathlib.Data.List.Perm #align_import data.list.sigma from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb" universe u v namespace List variable {α : Type u} {β : α → Type v} {l l₁ l₂ : List (Sigma β)} def keys : List (Sigma β) → List α := map Sigma.fst #align list.keys List.keys @[simp] theorem keys_nil : @keys α β [] = [] := rfl #align list.keys_nil List.keys_nil @[simp] theorem keys_cons {s} {l : List (Sigma β)} : (s :: l).keys = s.1 :: l.keys := rfl #align list.keys_cons List.keys_cons theorem mem_keys_of_mem {s : Sigma β} {l : List (Sigma β)} : s ∈ l → s.1 ∈ l.keys := mem_map_of_mem Sigma.fst #align list.mem_keys_of_mem List.mem_keys_of_mem theorem exists_of_mem_keys {a} {l : List (Sigma β)} (h : a ∈ l.keys) : ∃ b : β a, Sigma.mk a b ∈ l := let ⟨⟨_, b'⟩, m, e⟩ := exists_of_mem_map h Eq.recOn e (Exists.intro b' m) #align list.exists_of_mem_keys List.exists_of_mem_keys theorem mem_keys {a} {l : List (Sigma β)} : a ∈ l.keys ↔ ∃ b : β a, Sigma.mk a b ∈ l := ⟨exists_of_mem_keys, fun ⟨_, h⟩ => mem_keys_of_mem h⟩ #align list.mem_keys List.mem_keys theorem not_mem_keys {a} {l : List (Sigma β)} : a ∉ l.keys ↔ ∀ b : β a, Sigma.mk a b ∉ l := (not_congr mem_keys).trans not_exists #align list.not_mem_keys List.not_mem_keys theorem not_eq_key {a} {l : List (Sigma β)} : a ∉ l.keys ↔ ∀ s : Sigma β, s ∈ l → a ≠ s.1 := Iff.intro (fun h₁ s h₂ e => absurd (mem_keys_of_mem h₂) (by rwa [e] at h₁)) fun f h₁ => let ⟨b, h₂⟩ := exists_of_mem_keys h₁ f _ h₂ rfl #align list.not_eq_key List.not_eq_key def NodupKeys (l : List (Sigma β)) : Prop := l.keys.Nodup #align list.nodupkeys List.NodupKeys theorem nodupKeys_iff_pairwise {l} : NodupKeys l ↔ Pairwise (fun s s' : Sigma β => s.1 ≠ s'.1) l := pairwise_map #align list.nodupkeys_iff_pairwise List.nodupKeys_iff_pairwise theorem NodupKeys.pairwise_ne {l} (h : NodupKeys l) : Pairwise (fun s s' : Sigma β => s.1 ≠ s'.1) l := nodupKeys_iff_pairwise.1 h #align list.nodupkeys.pairwise_ne List.NodupKeys.pairwise_ne @[simp] theorem nodupKeys_nil : @NodupKeys α β [] := Pairwise.nil #align list.nodupkeys_nil List.nodupKeys_nil @[simp] theorem nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} : NodupKeys (s :: l) ↔ s.1 ∉ l.keys ∧ NodupKeys l := by simp [keys, NodupKeys] #align list.nodupkeys_cons List.nodupKeys_cons theorem not_mem_keys_of_nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} (h : NodupKeys (s :: l)) : s.1 ∉ l.keys := (nodupKeys_cons.1 h).1 #align list.not_mem_keys_of_nodupkeys_cons List.not_mem_keys_of_nodupKeys_cons theorem nodupKeys_of_nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} (h : NodupKeys (s :: l)) : NodupKeys l := (nodupKeys_cons.1 h).2 #align list.nodupkeys_of_nodupkeys_cons List.nodupKeys_of_nodupKeys_cons theorem NodupKeys.eq_of_fst_eq {l : List (Sigma β)} (nd : NodupKeys l) {s s' : Sigma β} (h : s ∈ l) (h' : s' ∈ l) : s.1 = s'.1 → s = s' := @Pairwise.forall_of_forall _ (fun s s' : Sigma β => s.1 = s'.1 → s = s') _ (fun _ _ H h => (H h.symm).symm) (fun _ _ _ => rfl) ((nodupKeys_iff_pairwise.1 nd).imp fun h h' => (h h').elim) _ h _ h' #align list.nodupkeys.eq_of_fst_eq List.NodupKeys.eq_of_fst_eq theorem NodupKeys.eq_of_mk_mem {a : α} {b b' : β a} {l : List (Sigma β)} (nd : NodupKeys l) (h : Sigma.mk a b ∈ l) (h' : Sigma.mk a b' ∈ l) : b = b' := by cases nd.eq_of_fst_eq h h' rfl; rfl #align list.nodupkeys.eq_of_mk_mem List.NodupKeys.eq_of_mk_mem theorem nodupKeys_singleton (s : Sigma β) : NodupKeys [s] := nodup_singleton _ #align list.nodupkeys_singleton List.nodupKeys_singleton theorem NodupKeys.sublist {l₁ l₂ : List (Sigma β)} (h : l₁ <+ l₂) : NodupKeys l₂ → NodupKeys l₁ := Nodup.sublist <| h.map _ #align list.nodupkeys.sublist List.NodupKeys.sublist protected theorem NodupKeys.nodup {l : List (Sigma β)} : NodupKeys l → Nodup l := Nodup.of_map _ #align list.nodupkeys.nodup List.NodupKeys.nodup theorem perm_nodupKeys {l₁ l₂ : List (Sigma β)} (h : l₁ ~ l₂) : NodupKeys l₁ ↔ NodupKeys l₂ := (h.map _).nodup_iff #align list.perm_nodupkeys List.perm_nodupKeys theorem nodupKeys_join {L : List (List (Sigma β))} : NodupKeys (join L) ↔ (∀ l ∈ L, NodupKeys l) ∧ Pairwise Disjoint (L.map keys) := by rw [nodupKeys_iff_pairwise, pairwise_join, pairwise_map] refine and_congr (forall₂_congr fun l _ => by simp [nodupKeys_iff_pairwise]) ?_ apply iff_of_eq; congr with (l₁ l₂) simp [keys, disjoint_iff_ne] #align list.nodupkeys_join List.nodupKeys_join theorem nodup_enum_map_fst (l : List α) : (l.enum.map Prod.fst).Nodup := by simp [List.nodup_range] #align list.nodup_enum_map_fst List.nodup_enum_map_fst theorem mem_ext {l₀ l₁ : List (Sigma β)} (nd₀ : l₀.Nodup) (nd₁ : l₁.Nodup) (h : ∀ x, x ∈ l₀ ↔ x ∈ l₁) : l₀ ~ l₁ := (perm_ext_iff_of_nodup nd₀ nd₁).2 h #align list.mem_ext List.mem_ext variable [DecidableEq α] -- Porting note: renaming to `dlookup` since `lookup` already exists def dlookup (a : α) : List (Sigma β) → Option (β a) | [] => none | ⟨a', b⟩ :: l => if h : a' = a then some (Eq.recOn h b) else dlookup a l #align list.lookup List.dlookup @[simp] theorem dlookup_nil (a : α) : dlookup a [] = @none (β a) := rfl #align list.lookup_nil List.dlookup_nil @[simp] theorem dlookup_cons_eq (l) (a : α) (b : β a) : dlookup a (⟨a, b⟩ :: l) = some b := dif_pos rfl #align list.lookup_cons_eq List.dlookup_cons_eq @[simp] theorem dlookup_cons_ne (l) {a} : ∀ s : Sigma β, a ≠ s.1 → dlookup a (s :: l) = dlookup a l | ⟨_, _⟩, h => dif_neg h.symm #align list.lookup_cons_ne List.dlookup_cons_ne theorem dlookup_isSome {a : α} : ∀ {l : List (Sigma β)}, (dlookup a l).isSome ↔ a ∈ l.keys | [] => by simp | ⟨a', b⟩ :: l => by by_cases h : a = a' · subst a' simp · simp [h, dlookup_isSome] #align list.lookup_is_some List.dlookup_isSome theorem dlookup_eq_none {a : α} {l : List (Sigma β)} : dlookup a l = none ↔ a ∉ l.keys := by simp [← dlookup_isSome, Option.isNone_iff_eq_none] #align list.lookup_eq_none List.dlookup_eq_none theorem of_mem_dlookup {a : α} {b : β a} : ∀ {l : List (Sigma β)}, b ∈ dlookup a l → Sigma.mk a b ∈ l | ⟨a', b'⟩ :: l, H => by by_cases h : a = a' · subst a' simp? at H says simp only [dlookup_cons_eq, Option.mem_def, Option.some.injEq] at H simp [H] · simp only [ne_eq, h, not_false_iff, dlookup_cons_ne] at H simp [of_mem_dlookup H] #align list.of_mem_lookup List.of_mem_dlookup theorem mem_dlookup {a} {b : β a} {l : List (Sigma β)} (nd : l.NodupKeys) (h : Sigma.mk a b ∈ l) : b ∈ dlookup a l := by cases' Option.isSome_iff_exists.mp (dlookup_isSome.mpr (mem_keys_of_mem h)) with b' h' cases nd.eq_of_mk_mem h (of_mem_dlookup h') exact h' #align list.mem_lookup List.mem_dlookup theorem map_dlookup_eq_find (a : α) : ∀ l : List (Sigma β), (dlookup a l).map (Sigma.mk a) = find? (fun s => a = s.1) l | [] => rfl | ⟨a', b'⟩ :: l => by by_cases h : a = a' · subst a' simp · simpa [h] using map_dlookup_eq_find a l #align list.map_lookup_eq_find List.map_dlookup_eq_find theorem mem_dlookup_iff {a : α} {b : β a} {l : List (Sigma β)} (nd : l.NodupKeys) : b ∈ dlookup a l ↔ Sigma.mk a b ∈ l := ⟨of_mem_dlookup, mem_dlookup nd⟩ #align list.mem_lookup_iff List.mem_dlookup_iff theorem perm_dlookup (a : α) {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys) (p : l₁ ~ l₂) : dlookup a l₁ = dlookup a l₂ := by ext b; simp only [mem_dlookup_iff nd₁, mem_dlookup_iff nd₂]; exact p.mem_iff #align list.perm_lookup List.perm_dlookup theorem lookup_ext {l₀ l₁ : List (Sigma β)} (nd₀ : l₀.NodupKeys) (nd₁ : l₁.NodupKeys) (h : ∀ x y, y ∈ l₀.dlookup x ↔ y ∈ l₁.dlookup x) : l₀ ~ l₁ := mem_ext nd₀.nodup nd₁.nodup fun ⟨a, b⟩ => by rw [← mem_dlookup_iff, ← mem_dlookup_iff, h] <;> assumption #align list.lookup_ext List.lookup_ext def lookupAll (a : α) : List (Sigma β) → List (β a) | [] => [] | ⟨a', b⟩ :: l => if h : a' = a then Eq.recOn h b :: lookupAll a l else lookupAll a l #align list.lookup_all List.lookupAll @[simp] theorem lookupAll_nil (a : α) : lookupAll a [] = @nil (β a) := rfl #align list.lookup_all_nil List.lookupAll_nil @[simp] theorem lookupAll_cons_eq (l) (a : α) (b : β a) : lookupAll a (⟨a, b⟩ :: l) = b :: lookupAll a l := dif_pos rfl #align list.lookup_all_cons_eq List.lookupAll_cons_eq @[simp] theorem lookupAll_cons_ne (l) {a} : ∀ s : Sigma β, a ≠ s.1 → lookupAll a (s :: l) = lookupAll a l | ⟨_, _⟩, h => dif_neg h.symm #align list.lookup_all_cons_ne List.lookupAll_cons_ne theorem lookupAll_eq_nil {a : α} : ∀ {l : List (Sigma β)}, lookupAll a l = [] ↔ ∀ b : β a, Sigma.mk a b ∉ l | [] => by simp | ⟨a', b⟩ :: l => by by_cases h : a = a' · subst a' simp only [lookupAll_cons_eq, mem_cons, Sigma.mk.inj_iff, heq_eq_eq, true_and, not_or, false_iff, not_forall, not_and, not_not] use b simp · simp [h, lookupAll_eq_nil] #align list.lookup_all_eq_nil List.lookupAll_eq_nil theorem head?_lookupAll (a : α) : ∀ l : List (Sigma β), head? (lookupAll a l) = dlookup a l | [] => by simp | ⟨a', b⟩ :: l => by by_cases h : a = a' · subst h; simp · rw [lookupAll_cons_ne, dlookup_cons_ne, head?_lookupAll a l] <;> assumption #align list.head_lookup_all List.head?_lookupAll theorem mem_lookupAll {a : α} {b : β a} : ∀ {l : List (Sigma β)}, b ∈ lookupAll a l ↔ Sigma.mk a b ∈ l | [] => by simp | ⟨a', b'⟩ :: l => by by_cases h : a = a' · subst h simp [*, mem_lookupAll] · simp [*, mem_lookupAll] #align list.mem_lookup_all List.mem_lookupAll theorem lookupAll_sublist (a : α) : ∀ l : List (Sigma β), (lookupAll a l).map (Sigma.mk a) <+ l | [] => by simp | ⟨a', b'⟩ :: l => by by_cases h : a = a' · subst h simp only [ne_eq, not_true, lookupAll_cons_eq, List.map] exact (lookupAll_sublist a l).cons₂ _ · simp only [ne_eq, h, not_false_iff, lookupAll_cons_ne] exact (lookupAll_sublist a l).cons _ #align list.lookup_all_sublist List.lookupAll_sublist theorem lookupAll_length_le_one (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : length (lookupAll a l) ≤ 1 := by have := Nodup.sublist ((lookupAll_sublist a l).map _) h rw [map_map] at this rwa [← nodup_replicate, ← map_const] #align list.lookup_all_length_le_one List.lookupAll_length_le_one theorem lookupAll_eq_dlookup (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : lookupAll a l = (dlookup a l).toList := by rw [← head?_lookupAll] have h1 := lookupAll_length_le_one a h; revert h1 rcases lookupAll a l with (_ | ⟨b, _ | ⟨c, l⟩⟩) <;> intro h1 <;> try rfl exact absurd h1 (by simp) #align list.lookup_all_eq_lookup List.lookupAll_eq_dlookup theorem lookupAll_nodup (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : (lookupAll a l).Nodup := by (rw [lookupAll_eq_dlookup a h]; apply Option.toList_nodup) #align list.lookup_all_nodup List.lookupAll_nodup theorem perm_lookupAll (a : α) {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys) (p : l₁ ~ l₂) : lookupAll a l₁ = lookupAll a l₂ := by simp [lookupAll_eq_dlookup, nd₁, nd₂, perm_dlookup a nd₁ nd₂ p] #align list.perm_lookup_all List.perm_lookupAll def kreplace (a : α) (b : β a) : List (Sigma β) → List (Sigma β) := lookmap fun s => if a = s.1 then some ⟨a, b⟩ else none #align list.kreplace List.kreplace theorem kreplace_of_forall_not (a : α) (b : β a) {l : List (Sigma β)} (H : ∀ b : β a, Sigma.mk a b ∉ l) : kreplace a b l = l := lookmap_of_forall_not _ <| by rintro ⟨a', b'⟩ h; dsimp; split_ifs · subst a' exact H _ h · rfl #align list.kreplace_of_forall_not List.kreplace_of_forall_not theorem kreplace_self {a : α} {b : β a} {l : List (Sigma β)} (nd : NodupKeys l) (h : Sigma.mk a b ∈ l) : kreplace a b l = l := by refine (lookmap_congr ?_).trans (lookmap_id' (Option.guard fun (s : Sigma β) => a = s.1) ?_ _) · rintro ⟨a', b'⟩ h' dsimp [Option.guard] split_ifs · subst a' simp [nd.eq_of_mk_mem h h'] · rfl · rintro ⟨a₁, b₁⟩ ⟨a₂, b₂⟩ dsimp [Option.guard] split_ifs · simp · rintro ⟨⟩ #align list.kreplace_self List.kreplace_self theorem keys_kreplace (a : α) (b : β a) : ∀ l : List (Sigma β), (kreplace a b l).keys = l.keys := lookmap_map_eq _ _ <| by rintro ⟨a₁, b₂⟩ ⟨a₂, b₂⟩ dsimp split_ifs with h <;> simp (config := { contextual := true }) [h] #align list.keys_kreplace List.keys_kreplace theorem kreplace_nodupKeys (a : α) (b : β a) {l : List (Sigma β)} : (kreplace a b l).NodupKeys ↔ l.NodupKeys := by simp [NodupKeys, keys_kreplace] #align list.kreplace_nodupkeys List.kreplace_nodupKeys theorem Perm.kreplace {a : α} {b : β a} {l₁ l₂ : List (Sigma β)} (nd : l₁.NodupKeys) : l₁ ~ l₂ → kreplace a b l₁ ~ kreplace a b l₂ := perm_lookmap _ <| by refine nd.pairwise_ne.imp ?_ intro x y h z h₁ w h₂ split_ifs at h₁ h₂ with h_2 h_1 <;> cases h₁ <;> cases h₂ exact (h (h_2.symm.trans h_1)).elim #align list.perm.kreplace List.Perm.kreplace def kerase (a : α) : List (Sigma β) → List (Sigma β) := eraseP fun s => a = s.1 #align list.kerase List.kerase -- Porting note (#10618): removing @[simp], `simp` can prove it theorem kerase_nil {a} : @kerase _ β _ a [] = [] := rfl #align list.kerase_nil List.kerase_nil @[simp] theorem kerase_cons_eq {a} {s : Sigma β} {l : List (Sigma β)} (h : a = s.1) : kerase a (s :: l) = l := by simp [kerase, h] #align list.kerase_cons_eq List.kerase_cons_eq @[simp] theorem kerase_cons_ne {a} {s : Sigma β} {l : List (Sigma β)} (h : a ≠ s.1) : kerase a (s :: l) = s :: kerase a l := by simp [kerase, h] #align list.kerase_cons_ne List.kerase_cons_ne @[simp] theorem kerase_of_not_mem_keys {a} {l : List (Sigma β)} (h : a ∉ l.keys) : kerase a l = l := by induction' l with _ _ ih <;> [rfl; (simp [not_or] at h; simp [h.1, ih h.2])] #align list.kerase_of_not_mem_keys List.kerase_of_not_mem_keys theorem kerase_sublist (a : α) (l : List (Sigma β)) : kerase a l <+ l := eraseP_sublist _ #align list.kerase_sublist List.kerase_sublist theorem kerase_keys_subset (a) (l : List (Sigma β)) : (kerase a l).keys ⊆ l.keys := ((kerase_sublist a l).map _).subset #align list.kerase_keys_subset List.kerase_keys_subset theorem mem_keys_of_mem_keys_kerase {a₁ a₂} {l : List (Sigma β)} : a₁ ∈ (kerase a₂ l).keys → a₁ ∈ l.keys := @kerase_keys_subset _ _ _ _ _ _ #align list.mem_keys_of_mem_keys_kerase List.mem_keys_of_mem_keys_kerase theorem exists_of_kerase {a : α} {l : List (Sigma β)} (h : a ∈ l.keys) : ∃ (b : β a) (l₁ l₂ : List (Sigma β)), a ∉ l₁.keys ∧ l = l₁ ++ ⟨a, b⟩ :: l₂ ∧ kerase a l = l₁ ++ l₂ := by induction l with | nil => cases h | cons hd tl ih => by_cases e : a = hd.1 · subst e exact ⟨hd.2, [], tl, by simp, by cases hd; rfl, by simp⟩ · simp only [keys_cons, mem_cons] at h cases' h with h h · exact absurd h e rcases ih h with ⟨b, tl₁, tl₂, h₁, h₂, h₃⟩ exact ⟨b, hd :: tl₁, tl₂, not_mem_cons_of_ne_of_not_mem e h₁, by (rw [h₂]; rfl), by simp [e, h₃]⟩ #align list.exists_of_kerase List.exists_of_kerase @[simp] theorem mem_keys_kerase_of_ne {a₁ a₂} {l : List (Sigma β)} (h : a₁ ≠ a₂) : a₁ ∈ (kerase a₂ l).keys ↔ a₁ ∈ l.keys := (Iff.intro mem_keys_of_mem_keys_kerase) fun p => if q : a₂ ∈ l.keys then match l, kerase a₂ l, exists_of_kerase q, p with | _, _, ⟨_, _, _, _, rfl, rfl⟩, p => by simpa [keys, h] using p else by simp [q, p] #align list.mem_keys_kerase_of_ne List.mem_keys_kerase_of_ne theorem keys_kerase {a} {l : List (Sigma β)} : (kerase a l).keys = l.keys.erase a := by rw [keys, kerase, erase_eq_eraseP, eraseP_map, Function.comp] simp only [beq_eq_decide] congr funext simp #align list.keys_kerase List.keys_kerase theorem kerase_kerase {a a'} {l : List (Sigma β)} : (kerase a' l).kerase a = (kerase a l).kerase a' := by by_cases h : a = a' · subst a'; rfl induction' l with x xs · rfl · by_cases a' = x.1 · subst a' simp [kerase_cons_ne h, kerase_cons_eq rfl] by_cases h' : a = x.1 · subst a simp [kerase_cons_eq rfl, kerase_cons_ne (Ne.symm h)] · simp [kerase_cons_ne, *] #align list.kerase_kerase List.kerase_kerase theorem NodupKeys.kerase (a : α) : NodupKeys l → (kerase a l).NodupKeys := NodupKeys.sublist <| kerase_sublist _ _ #align list.nodupkeys.kerase List.NodupKeys.kerase theorem Perm.kerase {a : α} {l₁ l₂ : List (Sigma β)} (nd : l₁.NodupKeys) : l₁ ~ l₂ → kerase a l₁ ~ kerase a l₂ := by apply Perm.eraseP apply (nodupKeys_iff_pairwise.1 nd).imp intros; simp_all #align list.perm.kerase List.Perm.kerase @[simp] theorem not_mem_keys_kerase (a) {l : List (Sigma β)} (nd : l.NodupKeys) : a ∉ (kerase a l).keys := by induction l with | nil => simp | cons hd tl ih => simp? at nd says simp only [nodupKeys_cons] at nd by_cases h : a = hd.1 · subst h simp [nd.1] · simp [h, ih nd.2] #align list.not_mem_keys_kerase List.not_mem_keys_kerase @[simp] theorem dlookup_kerase (a) {l : List (Sigma β)} (nd : l.NodupKeys) : dlookup a (kerase a l) = none := dlookup_eq_none.mpr (not_mem_keys_kerase a nd) #align list.lookup_kerase List.dlookup_kerase @[simp] theorem dlookup_kerase_ne {a a'} {l : List (Sigma β)} (h : a ≠ a') : dlookup a (kerase a' l) = dlookup a l := by induction l with | nil => rfl | cons hd tl ih => cases' hd with ah bh by_cases h₁ : a = ah <;> by_cases h₂ : a' = ah · substs h₁ h₂ cases Ne.irrefl h · subst h₁ simp [h₂] · subst h₂ simp [h] · simp [h₁, h₂, ih] #align list.lookup_kerase_ne List.dlookup_kerase_ne theorem kerase_append_left {a} : ∀ {l₁ l₂ : List (Sigma β)}, a ∈ l₁.keys → kerase a (l₁ ++ l₂) = kerase a l₁ ++ l₂ | [], _, h => by cases h | s :: l₁, l₂, h₁ => by if h₂ : a = s.1 then simp [h₂] else simp at h₁; cases' h₁ with h₁ h₁ <;> [exact absurd h₁ h₂; simp [h₂, kerase_append_left h₁]] #align list.kerase_append_left List.kerase_append_left theorem kerase_append_right {a} : ∀ {l₁ l₂ : List (Sigma β)}, a ∉ l₁.keys → kerase a (l₁ ++ l₂) = l₁ ++ kerase a l₂ | [], _, _ => rfl | _ :: l₁, l₂, h => by simp only [keys_cons, mem_cons, not_or] at h simp [h.1, kerase_append_right h.2] #align list.kerase_append_right List.kerase_append_right theorem kerase_comm (a₁ a₂) (l : List (Sigma β)) : kerase a₂ (kerase a₁ l) = kerase a₁ (kerase a₂ l) := if h : a₁ = a₂ then by simp [h] else if ha₁ : a₁ ∈ l.keys then if ha₂ : a₂ ∈ l.keys then match l, kerase a₁ l, exists_of_kerase ha₁, ha₂ with | _, _, ⟨b₁, l₁, l₂, a₁_nin_l₁, rfl, rfl⟩, _ => if h' : a₂ ∈ l₁.keys then by simp [kerase_append_left h', kerase_append_right (mt (mem_keys_kerase_of_ne h).mp a₁_nin_l₁)] else by simp [kerase_append_right h', kerase_append_right a₁_nin_l₁, @kerase_cons_ne _ _ _ a₂ ⟨a₁, b₁⟩ _ (Ne.symm h)] else by simp [ha₂, mt mem_keys_of_mem_keys_kerase ha₂] else by simp [ha₁, mt mem_keys_of_mem_keys_kerase ha₁] #align list.kerase_comm List.kerase_comm
Mathlib/Data/List/Sigma.lean
560
565
theorem sizeOf_kerase [DecidableEq α] [SizeOf (Sigma β)] (x : α) (xs : List (Sigma β)) : SizeOf.sizeOf (List.kerase x xs) ≤ SizeOf.sizeOf xs := by
simp only [SizeOf.sizeOf, _sizeOf_1] induction' xs with y ys · simp · by_cases x = y.1 <;> simp [*]
import Mathlib.Algebra.QuadraticDiscriminant import Mathlib.Analysis.Convex.SpecificFunctions.Deriv import Mathlib.Analysis.SpecialFunctions.Pow.Complex #align_import analysis.special_functions.trigonometric.complex from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" noncomputable section namespace Complex open Set Filter open scoped Real theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 := by have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1 := by rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero, zero_mul, add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub] ring_nf rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm] refine exists_congr fun x => ?_ refine (iff_of_eq <| congr_arg _ ?_).trans (mul_right_inj' <| mul_ne_zero two_ne_zero I_ne_zero) field_simp; ring #align complex.cos_eq_zero_iff Complex.cos_eq_zero_iff theorem cos_ne_zero_iff {θ : ℂ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 := by rw [← not_exists, not_iff_not, cos_eq_zero_iff] #align complex.cos_ne_zero_iff Complex.cos_ne_zero_iff theorem sin_eq_zero_iff {θ : ℂ} : sin θ = 0 ↔ ∃ k : ℤ, θ = k * π := by rw [← Complex.cos_sub_pi_div_two, cos_eq_zero_iff] constructor · rintro ⟨k, hk⟩ use k + 1 field_simp [eq_add_of_sub_eq hk] ring · rintro ⟨k, rfl⟩ use k - 1 field_simp ring #align complex.sin_eq_zero_iff Complex.sin_eq_zero_iff theorem sin_ne_zero_iff {θ : ℂ} : sin θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π := by rw [← not_exists, not_iff_not, sin_eq_zero_iff] #align complex.sin_ne_zero_iff Complex.sin_ne_zero_iff theorem tan_eq_zero_iff {θ : ℂ} : tan θ = 0 ↔ ∃ k : ℤ, k * π / 2 = θ := by rw [tan, div_eq_zero_iff, ← mul_eq_zero, ← mul_right_inj' two_ne_zero, mul_zero, ← mul_assoc, ← sin_two_mul, sin_eq_zero_iff] field_simp [mul_comm, eq_comm] #align complex.tan_eq_zero_iff Complex.tan_eq_zero_iff theorem tan_ne_zero_iff {θ : ℂ} : tan θ ≠ 0 ↔ ∀ k : ℤ, (k * π / 2 : ℂ) ≠ θ := by rw [← not_exists, not_iff_not, tan_eq_zero_iff] #align complex.tan_ne_zero_iff Complex.tan_ne_zero_iff theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 := tan_eq_zero_iff.mpr (by use n) #align complex.tan_int_mul_pi_div_two Complex.tan_int_mul_pi_div_two theorem tan_eq_zero_iff' {θ : ℂ} (hθ : cos θ ≠ 0) : tan θ = 0 ↔ ∃ k : ℤ, k * π = θ := by simp only [tan, hθ, div_eq_zero_iff, sin_eq_zero_iff]; simp [eq_comm] theorem cos_eq_cos_iff {x y : ℂ} : cos x = cos y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x := calc cos x = cos y ↔ cos x - cos y = 0 := sub_eq_zero.symm _ ↔ -2 * sin ((x + y) / 2) * sin ((x - y) / 2) = 0 := by rw [cos_sub_cos] _ ↔ sin ((x + y) / 2) = 0 ∨ sin ((x - y) / 2) = 0 := by simp [(by norm_num : (2 : ℂ) ≠ 0)] _ ↔ sin ((x - y) / 2) = 0 ∨ sin ((x + y) / 2) = 0 := or_comm _ ↔ (∃ k : ℤ, y = 2 * k * π + x) ∨ ∃ k : ℤ, y = 2 * k * π - x := by apply or_congr <;> field_simp [sin_eq_zero_iff, (by norm_num : -(2 : ℂ) ≠ 0), eq_sub_iff_add_eq', sub_eq_iff_eq_add, mul_comm (2 : ℂ), mul_right_comm _ (2 : ℂ)] constructor <;> · rintro ⟨k, rfl⟩; use -k; simp _ ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x := exists_or.symm #align complex.cos_eq_cos_iff Complex.cos_eq_cos_iff theorem sin_eq_sin_iff {x y : ℂ} : sin x = sin y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = (2 * k + 1) * π - x := by simp only [← Complex.cos_sub_pi_div_two, cos_eq_cos_iff, sub_eq_iff_eq_add] refine exists_congr fun k => or_congr ?_ ?_ <;> refine Eq.congr rfl ?_ <;> field_simp <;> ring #align complex.sin_eq_sin_iff Complex.sin_eq_sin_iff theorem cos_eq_one_iff {x : ℂ} : cos x = 1 ↔ ∃ k : ℤ, k * (2 * π) = x := by rw [← cos_zero, eq_comm, cos_eq_cos_iff] simp [mul_assoc, mul_left_comm, eq_comm] theorem cos_eq_neg_one_iff {x : ℂ} : cos x = -1 ↔ ∃ k : ℤ, π + k * (2 * π) = x := by rw [← neg_eq_iff_eq_neg, ← cos_sub_pi, cos_eq_one_iff] simp only [eq_sub_iff_add_eq'] theorem sin_eq_one_iff {x : ℂ} : sin x = 1 ↔ ∃ k : ℤ, π / 2 + k * (2 * π) = x := by rw [← cos_sub_pi_div_two, cos_eq_one_iff] simp only [eq_sub_iff_add_eq'] theorem sin_eq_neg_one_iff {x : ℂ} : sin x = -1 ↔ ∃ k : ℤ, -(π / 2) + k * (2 * π) = x := by rw [← neg_eq_iff_eq_neg, ← cos_add_pi_div_two, cos_eq_one_iff] simp only [← sub_eq_neg_add, sub_eq_iff_eq_add] theorem tan_add {x y : ℂ} (h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by rcases h with (⟨h1, h2⟩ | ⟨⟨k, rfl⟩, ⟨l, rfl⟩⟩) · rw [tan, sin_add, cos_add, ← div_div_div_cancel_right (sin x * cos y + cos x * sin y) (mul_ne_zero (cos_ne_zero_iff.mpr h1) (cos_ne_zero_iff.mpr h2)), add_div, sub_div] simp only [← div_mul_div_comm, tan, mul_one, one_mul, div_self (cos_ne_zero_iff.mpr h1), div_self (cos_ne_zero_iff.mpr h2)] · haveI t := tan_int_mul_pi_div_two obtain ⟨hx, hy, hxy⟩ := t (2 * k + 1), t (2 * l + 1), t (2 * k + 1 + (2 * l + 1)) simp only [Int.cast_add, Int.cast_two, Int.cast_mul, Int.cast_one, hx, hy] at hx hy hxy rw [hx, hy, add_zero, zero_div, mul_div_assoc, mul_div_assoc, ← add_mul (2 * (k : ℂ) + 1) (2 * l + 1) (π / 2), ← mul_div_assoc, hxy] #align complex.tan_add Complex.tan_add theorem tan_add' {x y : ℂ} (h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) : tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := tan_add (Or.inl h) #align complex.tan_add' Complex.tan_add' theorem tan_two_mul {z : ℂ} : tan (2 * z) = (2 : ℂ) * tan z / ((1 : ℂ) - tan z ^ 2) := by by_cases h : ∀ k : ℤ, z ≠ (2 * k + 1) * π / 2 · rw [two_mul, two_mul, sq, tan_add (Or.inl ⟨h, h⟩)] · rw [not_forall_not] at h rw [two_mul, two_mul, sq, tan_add (Or.inr ⟨h, h⟩)] #align complex.tan_two_mul Complex.tan_two_mul theorem tan_add_mul_I {x y : ℂ} (h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y * I ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y * I = (2 * l + 1) * π / 2) : tan (x + y * I) = (tan x + tanh y * I) / (1 - tan x * tanh y * I) := by rw [tan_add h, tan_mul_I, mul_assoc] set_option linter.uppercaseLean3 false in #align complex.tan_add_mul_I Complex.tan_add_mul_I theorem tan_eq {z : ℂ} (h : ((∀ k : ℤ, (z.re : ℂ) ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, (z.im : ℂ) * I ≠ (2 * l + 1) * π / 2) ∨ (∃ k : ℤ, (z.re : ℂ) = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, (z.im : ℂ) * I = (2 * l + 1) * π / 2) : tan z = (tan z.re + tanh z.im * I) / (1 - tan z.re * tanh z.im * I) := by convert tan_add_mul_I h; exact (re_add_im z).symm #align complex.tan_eq Complex.tan_eq open scoped Topology theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := continuousOn_sin.div continuousOn_cos fun _x => id #align complex.continuous_on_tan Complex.continuousOn_tan @[continuity] theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x := continuousOn_iff_continuous_restrict.1 continuousOn_tan #align complex.continuous_tan Complex.continuous_tan theorem cos_eq_iff_quadratic {z w : ℂ} : cos z = w ↔ exp (z * I) ^ 2 - 2 * w * exp (z * I) + 1 = 0 := by rw [← sub_eq_zero] field_simp [cos, exp_neg, exp_ne_zero] refine Eq.congr ?_ rfl ring #align complex.cos_eq_iff_quadratic Complex.cos_eq_iff_quadratic
Mathlib/Analysis/SpecialFunctions/Trigonometric/Complex.lean
195
207
theorem cos_surjective : Function.Surjective cos := by
intro x obtain ⟨w, w₀, hw⟩ : ∃ w ≠ 0, 1 * w * w + -2 * x * w + 1 = 0 := by rcases exists_quadratic_eq_zero one_ne_zero ⟨_, (cpow_nat_inv_pow _ two_ne_zero).symm.trans <| pow_two _⟩ with ⟨w, hw⟩ refine ⟨w, ?_, hw⟩ rintro rfl simp only [zero_add, one_ne_zero, mul_zero] at hw refine ⟨log w / I, cos_eq_iff_quadratic.2 ?_⟩ rw [div_mul_cancel₀ _ I_ne_zero, exp_log w₀] convert hw using 1 ring
import Mathlib.Data.Finsupp.Defs #align_import data.finsupp.fin from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" noncomputable section namespace Finsupp variable {n : ℕ} (i : Fin n) {M : Type*} [Zero M] (y : M) (t : Fin (n + 1) →₀ M) (s : Fin n →₀ M) def tail (s : Fin (n + 1) →₀ M) : Fin n →₀ M := Finsupp.equivFunOnFinite.symm (Fin.tail s) #align finsupp.tail Finsupp.tail def cons (y : M) (s : Fin n →₀ M) : Fin (n + 1) →₀ M := Finsupp.equivFunOnFinite.symm (Fin.cons y s : Fin (n + 1) → M) #align finsupp.cons Finsupp.cons theorem tail_apply : tail t i = t i.succ := rfl #align finsupp.tail_apply Finsupp.tail_apply @[simp] theorem cons_zero : cons y s 0 = y := rfl #align finsupp.cons_zero Finsupp.cons_zero @[simp] theorem cons_succ : cons y s i.succ = s i := -- Porting note: was Fin.cons_succ _ _ _ rfl #align finsupp.cons_succ Finsupp.cons_succ @[simp] theorem tail_cons : tail (cons y s) = s := ext fun k => by simp only [tail_apply, cons_succ] #align finsupp.tail_cons Finsupp.tail_cons @[simp] theorem cons_tail : cons (t 0) (tail t) = t := by ext a by_cases c_a : a = 0 · rw [c_a, cons_zero] · rw [← Fin.succ_pred a c_a, cons_succ, ← tail_apply] #align finsupp.cons_tail Finsupp.cons_tail @[simp] theorem cons_zero_zero : cons 0 (0 : Fin n →₀ M) = 0 := by ext a by_cases c : a = 0 · simp [c] · rw [← Fin.succ_pred a c, cons_succ] simp #align finsupp.cons_zero_zero Finsupp.cons_zero_zero variable {s} {y}
Mathlib/Data/Finsupp/Fin.lean
78
80
theorem cons_ne_zero_of_left (h : y ≠ 0) : cons y s ≠ 0 := by
contrapose! h with c rw [← cons_zero y s, c, Finsupp.coe_zero, Pi.zero_apply]
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Pi.Basic import Mathlib.Order.Fin import Mathlib.Order.PiLex import Mathlib.Order.Interval.Set.Basic #align_import data.fin.tuple.basic from "leanprover-community/mathlib"@"ef997baa41b5c428be3fb50089a7139bf4ee886b" assert_not_exists MonoidWithZero universe u v namespace Fin variable {m n : ℕ} open Function section Tuple example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g := finZeroElim #align fin.tuple0_le Fin.tuple0_le variable {α : Fin (n + 1) → Type u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n) (y : α i.succ) (z : α 0) def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ #align fin.tail Fin.tail theorem tail_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} : (tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ := rfl #align fin.tail_def Fin.tail_def def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j #align fin.cons Fin.cons @[simp] theorem tail_cons : tail (cons x p) = p := by simp (config := { unfoldPartialApp := true }) [tail, cons] #align fin.tail_cons Fin.tail_cons @[simp] theorem cons_succ : cons x p i.succ = p i := by simp [cons] #align fin.cons_succ Fin.cons_succ @[simp] theorem cons_zero : cons x p 0 = x := by simp [cons] #align fin.cons_zero Fin.cons_zero @[simp] theorem cons_one {α : Fin (n + 2) → Type*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) : cons x p 1 = p 0 := by rw [← cons_succ x p]; rfl @[simp] theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by ext j by_cases h : j = 0 · rw [h] simp [Ne.symm (succ_ne_zero i)] · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ] by_cases h' : j' = i · rw [h'] simp · have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj] rw [update_noteq h', update_noteq this, cons_succ] #align fin.cons_update Fin.cons_update theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦ ⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩ #align fin.cons_injective2 Fin.cons_injective2 @[simp] theorem cons_eq_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} : cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y := cons_injective2.eq_iff #align fin.cons_eq_cons Fin.cons_eq_cons theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x := cons_injective2.left _ #align fin.cons_left_injective Fin.cons_left_injective theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) := cons_injective2.right _ #align fin.cons_right_injective Fin.cons_right_injective theorem update_cons_zero : update (cons x p) 0 z = cons z p := by ext j by_cases h : j = 0 · rw [h] simp · simp only [h, update_noteq, Ne, not_false_iff] let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ, cons_succ] #align fin.update_cons_zero Fin.update_cons_zero @[simp, nolint simpNF] -- Porting note: linter claims LHS doesn't simplify theorem cons_self_tail : cons (q 0) (tail q) = q := by ext j by_cases h : j = 0 · rw [h] simp · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this] unfold tail rw [cons_succ] #align fin.cons_self_tail Fin.cons_self_tail -- Porting note: Mathport removes `_root_`? @[elab_as_elim] def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x : ∀ i : Fin n.succ, α i) : P x := _root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x) #align fin.cons_cases Fin.consCases @[simp] theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x)) (x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by rw [consCases, cast_eq] congr #align fin.cons_cases_cons Fin.consCases_cons @[elab_as_elim] def consInduction {α : Type*} {P : ∀ {n : ℕ}, (Fin n → α) → Sort v} (h0 : P Fin.elim0) (h : ∀ {n} (x₀) (x : Fin n → α), P x → P (Fin.cons x₀ x)) : ∀ {n : ℕ} (x : Fin n → α), P x | 0, x => by convert h0 | n + 1, x => consCases (fun x₀ x ↦ h _ _ <| consInduction h0 h _) x #align fin.cons_induction Fin.consInductionₓ -- Porting note: universes theorem cons_injective_of_injective {α} {x₀ : α} {x : Fin n → α} (hx₀ : x₀ ∉ Set.range x) (hx : Function.Injective x) : Function.Injective (cons x₀ x : Fin n.succ → α) := by refine Fin.cases ?_ ?_ · refine Fin.cases ?_ ?_ · intro rfl · intro j h rw [cons_zero, cons_succ] at h exact hx₀.elim ⟨_, h.symm⟩ · intro i refine Fin.cases ?_ ?_ · intro h rw [cons_zero, cons_succ] at h exact hx₀.elim ⟨_, h⟩ · intro j h rw [cons_succ, cons_succ] at h exact congr_arg _ (hx h) #align fin.cons_injective_of_injective Fin.cons_injective_of_injective theorem cons_injective_iff {α} {x₀ : α} {x : Fin n → α} : Function.Injective (cons x₀ x : Fin n.succ → α) ↔ x₀ ∉ Set.range x ∧ Function.Injective x := by refine ⟨fun h ↦ ⟨?_, ?_⟩, fun h ↦ cons_injective_of_injective h.1 h.2⟩ · rintro ⟨i, hi⟩ replace h := @h i.succ 0 simp [hi, succ_ne_zero] at h · simpa [Function.comp] using h.comp (Fin.succ_injective _) #align fin.cons_injective_iff Fin.cons_injective_iff @[simp] theorem forall_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ P finZeroElim := ⟨fun h ↦ h _, fun h x ↦ Subsingleton.elim finZeroElim x ▸ h⟩ #align fin.forall_fin_zero_pi Fin.forall_fin_zero_pi @[simp] theorem exists_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ P finZeroElim := ⟨fun ⟨x, h⟩ ↦ Subsingleton.elim x finZeroElim ▸ h, fun h ↦ ⟨_, h⟩⟩ #align fin.exists_fin_zero_pi Fin.exists_fin_zero_pi theorem forall_fin_succ_pi {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ ∀ a v, P (Fin.cons a v) := ⟨fun h a v ↦ h (Fin.cons a v), consCases⟩ #align fin.forall_fin_succ_pi Fin.forall_fin_succ_pi theorem exists_fin_succ_pi {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ ∃ a v, P (Fin.cons a v) := ⟨fun ⟨x, h⟩ ↦ ⟨x 0, tail x, (cons_self_tail x).symm ▸ h⟩, fun ⟨_, _, h⟩ ↦ ⟨_, h⟩⟩ #align fin.exists_fin_succ_pi Fin.exists_fin_succ_pi @[simp] theorem tail_update_zero : tail (update q 0 z) = tail q := by ext j simp [tail, Fin.succ_ne_zero] #align fin.tail_update_zero Fin.tail_update_zero @[simp] theorem tail_update_succ : tail (update q i.succ y) = update (tail q) i y := by ext j by_cases h : j = i · rw [h] simp [tail] · simp [tail, (Fin.succ_injective n).ne h, h] #align fin.tail_update_succ Fin.tail_update_succ theorem comp_cons {α : Type*} {β : Type*} (g : α → β) (y : α) (q : Fin n → α) : g ∘ cons y q = cons (g y) (g ∘ q) := by ext j by_cases h : j = 0 · rw [h] rfl · let j' := pred j h have : j'.succ = j := succ_pred j h rw [← this, cons_succ, comp_apply, comp_apply, cons_succ] #align fin.comp_cons Fin.comp_cons theorem comp_tail {α : Type*} {β : Type*} (g : α → β) (q : Fin n.succ → α) : g ∘ tail q = tail (g ∘ q) := by ext j simp [tail] #align fin.comp_tail Fin.comp_tail theorem le_cons [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} : q ≤ cons x p ↔ q 0 ≤ x ∧ tail q ≤ p := forall_fin_succ.trans <| and_congr Iff.rfl <| forall_congr' fun j ↦ by simp [tail] #align fin.le_cons Fin.le_cons theorem cons_le [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} : cons x p ≤ q ↔ x ≤ q 0 ∧ p ≤ tail q := @le_cons _ (fun i ↦ (α i)ᵒᵈ) _ x q p #align fin.cons_le Fin.cons_le theorem cons_le_cons [∀ i, Preorder (α i)] {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} : cons x₀ x ≤ cons y₀ y ↔ x₀ ≤ y₀ ∧ x ≤ y := forall_fin_succ.trans <| and_congr_right' <| by simp only [cons_succ, Pi.le_def] #align fin.cons_le_cons Fin.cons_le_cons theorem pi_lex_lt_cons_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} (s : ∀ {i : Fin n.succ}, α i → α i → Prop) : Pi.Lex (· < ·) (@s) (Fin.cons x₀ x) (Fin.cons y₀ y) ↔ s x₀ y₀ ∨ x₀ = y₀ ∧ Pi.Lex (· < ·) (@fun i : Fin n ↦ @s i.succ) x y := by simp_rw [Pi.Lex, Fin.exists_fin_succ, Fin.cons_succ, Fin.cons_zero, Fin.forall_fin_succ] simp [and_assoc, exists_and_left] #align fin.pi_lex_lt_cons_cons Fin.pi_lex_lt_cons_cons theorem range_fin_succ {α} (f : Fin (n + 1) → α) : Set.range f = insert (f 0) (Set.range (Fin.tail f)) := Set.ext fun _ ↦ exists_fin_succ.trans <| eq_comm.or Iff.rfl #align fin.range_fin_succ Fin.range_fin_succ @[simp] theorem range_cons {α : Type*} {n : ℕ} (x : α) (b : Fin n → α) : Set.range (Fin.cons x b : Fin n.succ → α) = insert x (Set.range b) := by rw [range_fin_succ, cons_zero, tail_cons] #align fin.range_cons Fin.range_cons section TupleRight -- Porting note: `i.castSucc` does not work like it did in Lean 3; -- `(castSucc i)` must be used. variable {α : Fin (n + 1) → Type u} (x : α (last n)) (q : ∀ i, α i) (p : ∀ i : Fin n, α (castSucc i)) (i : Fin n) (y : α (castSucc i)) (z : α (last n)) def init (q : ∀ i, α i) (i : Fin n) : α (castSucc i) := q (castSucc i) #align fin.init Fin.init theorem init_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} : (init fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q (castSucc k) := rfl #align fin.init_def Fin.init_def def snoc (p : ∀ i : Fin n, α (castSucc i)) (x : α (last n)) (i : Fin (n + 1)) : α i := if h : i.val < n then _root_.cast (by rw [Fin.castSucc_castLT i h]) (p (castLT i h)) else _root_.cast (by rw [eq_last_of_not_lt h]) x #align fin.snoc Fin.snoc @[simp] theorem init_snoc : init (snoc p x) = p := by ext i simp only [init, snoc, coe_castSucc, is_lt, cast_eq, dite_true] convert cast_eq rfl (p i) #align fin.init_snoc Fin.init_snoc @[simp]
Mathlib/Data/Fin/Tuple/Basic.lean
500
502
theorem snoc_castSucc : snoc p x (castSucc i) = p i := by
simp only [snoc, coe_castSucc, is_lt, cast_eq, dite_true] convert cast_eq rfl (p i)
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Group.Measure import Mathlib.Topology.Constructions #align_import measure_theory.constructions.pi from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Function Set MeasureTheory.OuterMeasure Filter MeasurableSpace Encodable open scoped Classical Topology ENNReal universe u v variable {ι ι' : Type*} {α : ι → Type*} theorem IsPiSystem.pi {C : ∀ i, Set (Set (α i))} (hC : ∀ i, IsPiSystem (C i)) : IsPiSystem (pi univ '' pi univ C) := by rintro _ ⟨s₁, hs₁, rfl⟩ _ ⟨s₂, hs₂, rfl⟩ hst rw [← pi_inter_distrib] at hst ⊢; rw [univ_pi_nonempty_iff] at hst exact mem_image_of_mem _ fun i _ => hC i _ (hs₁ i (mem_univ i)) _ (hs₂ i (mem_univ i)) (hst i) #align is_pi_system.pi IsPiSystem.pi theorem isPiSystem_pi [∀ i, MeasurableSpace (α i)] : IsPiSystem (pi univ '' pi univ fun i => { s : Set (α i) | MeasurableSet s }) := IsPiSystem.pi fun _ => isPiSystem_measurableSet #align is_pi_system_pi isPiSystem_pi namespace MeasureTheory variable [Fintype ι] {m : ∀ i, OuterMeasure (α i)} @[simp] def piPremeasure (m : ∀ i, OuterMeasure (α i)) (s : Set (∀ i, α i)) : ℝ≥0∞ := ∏ i, m i (eval i '' s) #align measure_theory.pi_premeasure MeasureTheory.piPremeasure theorem piPremeasure_pi {s : ∀ i, Set (α i)} (hs : (pi univ s).Nonempty) : piPremeasure m (pi univ s) = ∏ i, m i (s i) := by simp [hs, piPremeasure] #align measure_theory.pi_premeasure_pi MeasureTheory.piPremeasure_pi
Mathlib/MeasureTheory/Constructions/Pi.lean
166
174
theorem piPremeasure_pi' {s : ∀ i, Set (α i)} : piPremeasure m (pi univ s) = ∏ i, m i (s i) := by
cases isEmpty_or_nonempty ι · simp [piPremeasure] rcases (pi univ s).eq_empty_or_nonempty with h | h · rcases univ_pi_eq_empty_iff.mp h with ⟨i, hi⟩ have : ∃ i, m i (s i) = 0 := ⟨i, by simp [hi]⟩ simpa [h, Finset.card_univ, zero_pow Fintype.card_ne_zero, @eq_comm _ (0 : ℝ≥0∞), Finset.prod_eq_zero_iff, piPremeasure] · simp [h, piPremeasure]
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp] theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero @[simp]
Mathlib/Analysis/Analytic/Inverse.lean
73
74
theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by
rw [leftInv]
import Mathlib.Order.Filter.Bases #align_import order.filter.pi from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Set Function open scoped Classical open Filter namespace Filter variable {ι : Type*} {α : ι → Type*} {f f₁ f₂ : (i : ι) → Filter (α i)} {s : (i : ι) → Set (α i)} {p : ∀ i, α i → Prop} section Pi def pi (f : ∀ i, Filter (α i)) : Filter (∀ i, α i) := ⨅ i, comap (eval i) (f i) #align filter.pi Filter.pi instance pi.isCountablyGenerated [Countable ι] [∀ i, IsCountablyGenerated (f i)] : IsCountablyGenerated (pi f) := iInf.isCountablyGenerated _ #align filter.pi.is_countably_generated Filter.pi.isCountablyGenerated theorem tendsto_eval_pi (f : ∀ i, Filter (α i)) (i : ι) : Tendsto (eval i) (pi f) (f i) := tendsto_iInf' i tendsto_comap #align filter.tendsto_eval_pi Filter.tendsto_eval_pi theorem tendsto_pi {β : Type*} {m : β → ∀ i, α i} {l : Filter β} : Tendsto m l (pi f) ↔ ∀ i, Tendsto (fun x => m x i) l (f i) := by simp only [pi, tendsto_iInf, tendsto_comap_iff]; rfl #align filter.tendsto_pi Filter.tendsto_pi alias ⟨Tendsto.apply, _⟩ := tendsto_pi theorem le_pi {g : Filter (∀ i, α i)} : g ≤ pi f ↔ ∀ i, Tendsto (eval i) g (f i) := tendsto_pi #align filter.le_pi Filter.le_pi @[mono] theorem pi_mono (h : ∀ i, f₁ i ≤ f₂ i) : pi f₁ ≤ pi f₂ := iInf_mono fun i => comap_mono <| h i #align filter.pi_mono Filter.pi_mono theorem mem_pi_of_mem (i : ι) {s : Set (α i)} (hs : s ∈ f i) : eval i ⁻¹' s ∈ pi f := mem_iInf_of_mem i <| preimage_mem_comap hs #align filter.mem_pi_of_mem Filter.mem_pi_of_mem theorem pi_mem_pi {I : Set ι} (hI : I.Finite) (h : ∀ i ∈ I, s i ∈ f i) : I.pi s ∈ pi f := by rw [pi_def, biInter_eq_iInter] refine mem_iInf_of_iInter hI (fun i => ?_) Subset.rfl exact preimage_mem_comap (h i i.2) #align filter.pi_mem_pi Filter.pi_mem_pi theorem mem_pi {s : Set (∀ i, α i)} : s ∈ pi f ↔ ∃ I : Set ι, I.Finite ∧ ∃ t : ∀ i, Set (α i), (∀ i, t i ∈ f i) ∧ I.pi t ⊆ s := by constructor · simp only [pi, mem_iInf', mem_comap, pi_def] rintro ⟨I, If, V, hVf, -, rfl, -⟩ choose t htf htV using hVf exact ⟨I, If, t, htf, iInter₂_mono fun i _ => htV i⟩ · rintro ⟨I, If, t, htf, hts⟩ exact mem_of_superset (pi_mem_pi If fun i _ => htf i) hts #align filter.mem_pi Filter.mem_pi theorem mem_pi' {s : Set (∀ i, α i)} : s ∈ pi f ↔ ∃ I : Finset ι, ∃ t : ∀ i, Set (α i), (∀ i, t i ∈ f i) ∧ Set.pi (↑I) t ⊆ s := mem_pi.trans exists_finite_iff_finset #align filter.mem_pi' Filter.mem_pi' theorem mem_of_pi_mem_pi [∀ i, NeBot (f i)] {I : Set ι} (h : I.pi s ∈ pi f) {i : ι} (hi : i ∈ I) : s i ∈ f i := by rcases mem_pi.1 h with ⟨I', -, t, htf, hts⟩ refine mem_of_superset (htf i) fun x hx => ?_ have : ∀ i, (t i).Nonempty := fun i => nonempty_of_mem (htf i) choose g hg using this have : update g i x ∈ I'.pi t := fun j _ => by rcases eq_or_ne j i with (rfl | hne) <;> simp [*] simpa using hts this i hi #align filter.mem_of_pi_mem_pi Filter.mem_of_pi_mem_pi @[simp] theorem pi_mem_pi_iff [∀ i, NeBot (f i)] {I : Set ι} (hI : I.Finite) : I.pi s ∈ pi f ↔ ∀ i ∈ I, s i ∈ f i := ⟨fun h _i hi => mem_of_pi_mem_pi h hi, pi_mem_pi hI⟩ #align filter.pi_mem_pi_iff Filter.pi_mem_pi_iff theorem Eventually.eval_pi {i : ι} (hf : ∀ᶠ x : α i in f i, p i x) : ∀ᶠ x : ∀ i : ι, α i in pi f, p i (x i) := (tendsto_eval_pi _ _).eventually hf #align filter.eventually.eval_pi Filter.Eventually.eval_pi theorem eventually_pi [Finite ι] (hf : ∀ i, ∀ᶠ x in f i, p i x) : ∀ᶠ x : ∀ i, α i in pi f, ∀ i, p i (x i) := eventually_all.2 fun _i => (hf _).eval_pi #align filter.eventually_pi Filter.eventually_pi theorem hasBasis_pi {ι' : ι → Type} {s : ∀ i, ι' i → Set (α i)} {p : ∀ i, ι' i → Prop} (h : ∀ i, (f i).HasBasis (p i) (s i)) : (pi f).HasBasis (fun If : Set ι × ∀ i, ι' i => If.1.Finite ∧ ∀ i ∈ If.1, p i (If.2 i)) fun If : Set ι × ∀ i, ι' i => If.1.pi fun i => s i <| If.2 i := by simpa [Set.pi_def] using hasBasis_iInf' fun i => (h i).comap (eval i : (∀ j, α j) → α i) #align filter.has_basis_pi Filter.hasBasis_pi theorem le_pi_principal (s : (i : ι) → Set (α i)) : 𝓟 (univ.pi s) ≤ pi fun i ↦ 𝓟 (s i) := le_pi.2 fun i ↦ tendsto_principal_principal.2 fun _f hf ↦ hf i trivial @[simp] theorem pi_principal [Finite ι] (s : (i : ι) → Set (α i)) : pi (fun i ↦ 𝓟 (s i)) = 𝓟 (univ.pi s) := by simp [Filter.pi, Set.pi_def] @[simp] theorem pi_pure [Finite ι] (f : (i : ι) → α i) : pi (pure <| f ·) = pure f := by simp only [← principal_singleton, pi_principal, univ_pi_singleton] @[simp]
Mathlib/Order/Filter/Pi.lean
142
153
theorem pi_inf_principal_univ_pi_eq_bot : pi f ⊓ 𝓟 (Set.pi univ s) = ⊥ ↔ ∃ i, f i ⊓ 𝓟 (s i) = ⊥ := by
constructor · simp only [inf_principal_eq_bot, mem_pi] contrapose! rintro (hsf : ∀ i, ∃ᶠ x in f i, x ∈ s i) I - t htf hts have : ∀ i, (s i ∩ t i).Nonempty := fun i => ((hsf i).and_eventually (htf i)).exists choose x hxs hxt using this exact hts (fun i _ => hxt i) (mem_univ_pi.2 hxs) · simp only [inf_principal_eq_bot] rintro ⟨i, hi⟩ filter_upwards [mem_pi_of_mem i hi] with x using mt fun h => h i trivial
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] 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] #align mem_vadd_const_affine_segment mem_vadd_const_affineSegment @[simp] theorem mem_const_vsub_affineSegment {x y z : P} (p : P) : p -ᵥ z ∈ affineSegment R (p -ᵥ x) (p -ᵥ y) ↔ z ∈ affineSegment R x y := by rw [← affineSegment_const_vsub_image, (vsub_right_injective p).mem_set_image] #align mem_const_vsub_affine_segment mem_const_vsub_affineSegment @[simp] theorem mem_vsub_const_affineSegment {x y z : P} (p : P) : z -ᵥ p ∈ affineSegment R (x -ᵥ p) (y -ᵥ p) ↔ z ∈ affineSegment R x y := by rw [← affineSegment_vsub_const_image, (vsub_left_injective p).mem_set_image] #align mem_vsub_const_affine_segment mem_vsub_const_affineSegment variable (R) def Wbtw (x y z : P) : Prop := y ∈ affineSegment R x z #align wbtw Wbtw def Sbtw (x y z : P) : Prop := Wbtw R x y z ∧ y ≠ x ∧ y ≠ z #align sbtw Sbtw variable {R} lemma mem_segment_iff_wbtw {x y z : V} : y ∈ segment R x z ↔ Wbtw R x y z := by rw [Wbtw, affineSegment_eq_segment] theorem Wbtw.map {x y z : P} (h : Wbtw R x y z) (f : P →ᵃ[R] P') : Wbtw R (f x) (f y) (f z) := by rw [Wbtw, ← affineSegment_image] exact Set.mem_image_of_mem _ h #align wbtw.map Wbtw.map theorem Function.Injective.wbtw_map_iff {x y z : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : Wbtw R (f x) (f y) (f z) ↔ Wbtw R x y z := by refine ⟨fun h => ?_, fun h => h.map _⟩ rwa [Wbtw, ← affineSegment_image, hf.mem_set_image] at h #align function.injective.wbtw_map_iff Function.Injective.wbtw_map_iff theorem Function.Injective.sbtw_map_iff {x y z : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) : Sbtw R (f x) (f y) (f z) ↔ Sbtw R x y z := by simp_rw [Sbtw, hf.wbtw_map_iff, hf.ne_iff] #align function.injective.sbtw_map_iff Function.Injective.sbtw_map_iff @[simp] theorem AffineEquiv.wbtw_map_iff {x y z : P} (f : P ≃ᵃ[R] P') : Wbtw R (f x) (f y) (f z) ↔ Wbtw R x y z := by refine Function.Injective.wbtw_map_iff (?_ : Function.Injective f.toAffineMap) exact f.injective #align affine_equiv.wbtw_map_iff AffineEquiv.wbtw_map_iff @[simp] theorem AffineEquiv.sbtw_map_iff {x y z : P} (f : P ≃ᵃ[R] P') : Sbtw R (f x) (f y) (f z) ↔ Sbtw R x y z := by refine Function.Injective.sbtw_map_iff (?_ : Function.Injective f.toAffineMap) exact f.injective #align affine_equiv.sbtw_map_iff AffineEquiv.sbtw_map_iff @[simp] theorem wbtw_const_vadd_iff {x y z : P} (v : V) : Wbtw R (v +ᵥ x) (v +ᵥ y) (v +ᵥ z) ↔ Wbtw R x y z := mem_const_vadd_affineSegment _ #align wbtw_const_vadd_iff wbtw_const_vadd_iff @[simp] theorem wbtw_vadd_const_iff {x y z : V} (p : P) : Wbtw R (x +ᵥ p) (y +ᵥ p) (z +ᵥ p) ↔ Wbtw R x y z := mem_vadd_const_affineSegment _ #align wbtw_vadd_const_iff wbtw_vadd_const_iff @[simp] theorem wbtw_const_vsub_iff {x y z : P} (p : P) : Wbtw R (p -ᵥ x) (p -ᵥ y) (p -ᵥ z) ↔ Wbtw R x y z := mem_const_vsub_affineSegment _ #align wbtw_const_vsub_iff wbtw_const_vsub_iff @[simp] theorem wbtw_vsub_const_iff {x y z : P} (p : P) : Wbtw R (x -ᵥ p) (y -ᵥ p) (z -ᵥ p) ↔ Wbtw R x y z := mem_vsub_const_affineSegment _ #align wbtw_vsub_const_iff wbtw_vsub_const_iff @[simp] theorem sbtw_const_vadd_iff {x y z : P} (v : V) : Sbtw R (v +ᵥ x) (v +ᵥ y) (v +ᵥ z) ↔ Sbtw R x y z := by rw [Sbtw, Sbtw, wbtw_const_vadd_iff, (AddAction.injective v).ne_iff, (AddAction.injective v).ne_iff] #align sbtw_const_vadd_iff sbtw_const_vadd_iff @[simp] theorem sbtw_vadd_const_iff {x y z : V} (p : P) : Sbtw R (x +ᵥ p) (y +ᵥ p) (z +ᵥ p) ↔ Sbtw R x y z := by rw [Sbtw, Sbtw, wbtw_vadd_const_iff, (vadd_right_injective p).ne_iff, (vadd_right_injective p).ne_iff] #align sbtw_vadd_const_iff sbtw_vadd_const_iff @[simp] theorem sbtw_const_vsub_iff {x y z : P} (p : P) : Sbtw R (p -ᵥ x) (p -ᵥ y) (p -ᵥ z) ↔ Sbtw R x y z := by rw [Sbtw, Sbtw, wbtw_const_vsub_iff, (vsub_right_injective p).ne_iff, (vsub_right_injective p).ne_iff] #align sbtw_const_vsub_iff sbtw_const_vsub_iff @[simp]
Mathlib/Analysis/Convex/Between.lean
231
234
theorem sbtw_vsub_const_iff {x y z : P} (p : P) : Sbtw R (x -ᵥ p) (y -ᵥ p) (z -ᵥ p) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_vsub_const_iff, (vsub_left_injective p).ne_iff, (vsub_left_injective p).ne_iff]
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm] #align inv_mul_le_iff' inv_mul_le_iff' theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h] #align mul_inv_le_iff mul_inv_le_iff theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by rw [mul_comm, inv_mul_le_iff' h] #align mul_inv_le_iff' mul_inv_le_iff' theorem div_self_le_one (a : α) : a / a ≤ 1 := if h : a = 0 then by simp [h] else by simp [h] #align div_self_le_one div_self_le_one theorem inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_lt_iff' h #align inv_mul_lt_iff inv_mul_lt_iff theorem inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b := by rw [inv_mul_lt_iff h, mul_comm] #align inv_mul_lt_iff' inv_mul_lt_iff' theorem mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c := by rw [mul_comm, inv_mul_lt_iff h] #align mul_inv_lt_iff mul_inv_lt_iff theorem mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b := by rw [mul_comm, inv_mul_lt_iff' h] #align mul_inv_lt_iff' mul_inv_lt_iff' theorem inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a := by rw [inv_eq_one_div] exact div_le_iff ha #align inv_pos_le_iff_one_le_mul inv_pos_le_iff_one_le_mul theorem inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by rw [inv_eq_one_div] exact div_le_iff' ha #align inv_pos_le_iff_one_le_mul' inv_pos_le_iff_one_le_mul' theorem inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a := by rw [inv_eq_one_div] exact div_lt_iff ha #align inv_pos_lt_iff_one_lt_mul inv_pos_lt_iff_one_lt_mul theorem inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b := by rw [inv_eq_one_div] exact div_lt_iff' ha #align inv_pos_lt_iff_one_lt_mul' inv_pos_lt_iff_one_lt_mul' theorem div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c := by rcases eq_or_lt_of_le hb with (rfl | hb') · simp only [div_zero, hc] · rwa [div_le_iff hb'] #align div_le_of_nonneg_of_le_mul div_le_of_nonneg_of_le_mul lemma mul_le_of_nonneg_of_le_div (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ b / c) : a * c ≤ b := by obtain rfl | hc := hc.eq_or_lt · simpa using hb · rwa [le_div_iff hc] at h #align mul_le_of_nonneg_of_le_div mul_le_of_nonneg_of_le_div theorem div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 := div_le_of_nonneg_of_le_mul hb zero_le_one <| by rwa [one_mul] #align div_le_one_of_le div_le_one_of_le lemma mul_inv_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a * b⁻¹ ≤ 1 := by simpa only [← div_eq_mul_inv] using div_le_one_of_le h hb lemma inv_mul_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : b⁻¹ * a ≤ 1 := by simpa only [← div_eq_inv_mul] using div_le_one_of_le h hb @[gcongr] theorem inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := by rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul] #align inv_le_inv_of_le inv_le_inv_of_le theorem inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul] #align inv_le_inv inv_le_inv theorem inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv] #align inv_le inv_le theorem inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a := (inv_le ha ((inv_pos.2 ha).trans_le h)).1 h #align inv_le_of_inv_le inv_le_of_inv_le theorem le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv] #align le_inv le_inv theorem inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a := lt_iff_lt_of_le_iff_le (inv_le_inv hb ha) #align inv_lt_inv inv_lt_inv @[gcongr] theorem inv_lt_inv_of_lt (hb : 0 < b) (h : b < a) : a⁻¹ < b⁻¹ := (inv_lt_inv (hb.trans h) hb).2 h #align inv_lt_inv_of_lt inv_lt_inv_of_lt theorem inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a := lt_iff_lt_of_le_iff_le (le_inv hb ha) #align inv_lt inv_lt theorem inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a := (inv_lt ha ((inv_pos.2 ha).trans h)).1 h #align inv_lt_of_inv_lt inv_lt_of_inv_lt theorem lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ := lt_iff_lt_of_le_iff_le (inv_le hb ha) #align lt_inv lt_inv theorem inv_lt_one (ha : 1 < a) : a⁻¹ < 1 := by rwa [inv_lt (zero_lt_one.trans ha) zero_lt_one, inv_one] #align inv_lt_one inv_lt_one theorem one_lt_inv (h₁ : 0 < a) (h₂ : a < 1) : 1 < a⁻¹ := by rwa [lt_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_lt_inv one_lt_inv theorem inv_le_one (ha : 1 ≤ a) : a⁻¹ ≤ 1 := by rwa [inv_le (zero_lt_one.trans_le ha) zero_lt_one, inv_one] #align inv_le_one inv_le_one theorem one_le_inv (h₁ : 0 < a) (h₂ : a ≤ 1) : 1 ≤ a⁻¹ := by rwa [le_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_le_inv one_le_inv theorem inv_lt_one_iff_of_pos (h₀ : 0 < a) : a⁻¹ < 1 ↔ 1 < a := ⟨fun h₁ => inv_inv a ▸ one_lt_inv (inv_pos.2 h₀) h₁, inv_lt_one⟩ #align inv_lt_one_iff_of_pos inv_lt_one_iff_of_pos theorem inv_lt_one_iff : a⁻¹ < 1 ↔ a ≤ 0 ∨ 1 < a := by rcases le_or_lt a 0 with ha | ha · simp [ha, (inv_nonpos.2 ha).trans_lt zero_lt_one] · simp only [ha.not_le, false_or_iff, inv_lt_one_iff_of_pos ha] #align inv_lt_one_iff inv_lt_one_iff theorem one_lt_inv_iff : 1 < a⁻¹ ↔ 0 < a ∧ a < 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans h), inv_inv a ▸ inv_lt_one h⟩, and_imp.2 one_lt_inv⟩ #align one_lt_inv_iff one_lt_inv_iff theorem inv_le_one_iff : a⁻¹ ≤ 1 ↔ a ≤ 0 ∨ 1 ≤ a := by rcases em (a = 1) with (rfl | ha) · simp [le_rfl] · simp only [Ne.le_iff_lt (Ne.symm ha), Ne.le_iff_lt (mt inv_eq_one.1 ha), inv_lt_one_iff] #align inv_le_one_iff inv_le_one_iff theorem one_le_inv_iff : 1 ≤ a⁻¹ ↔ 0 < a ∧ a ≤ 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans_le h), inv_inv a ▸ inv_le_one h⟩, and_imp.2 one_le_inv⟩ #align one_le_inv_iff one_le_inv_iff @[mono, gcongr] lemma div_le_div_of_nonneg_right (hab : a ≤ b) (hc : 0 ≤ c) : a / c ≤ b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_le_mul_of_nonneg_right hab (one_div_nonneg.2 hc) #align div_le_div_of_le_of_nonneg div_le_div_of_nonneg_right @[gcongr] lemma div_lt_div_of_pos_right (h : a < b) (hc : 0 < c) : a / c < b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_lt_mul_of_pos_right h (one_div_pos.2 hc) #align div_lt_div_of_lt div_lt_div_of_pos_right -- Not a `mono` lemma b/c `div_le_div` is strictly more general @[gcongr] lemma div_le_div_of_nonneg_left (ha : 0 ≤ a) (hc : 0 < c) (h : c ≤ b) : a / b ≤ a / c := by rw [div_eq_mul_inv, div_eq_mul_inv] exact mul_le_mul_of_nonneg_left ((inv_le_inv (hc.trans_le h) hc).mpr h) ha #align div_le_div_of_le_left div_le_div_of_nonneg_left @[gcongr] lemma div_lt_div_of_pos_left (ha : 0 < a) (hc : 0 < c) (h : c < b) : a / b < a / c := by simpa only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv (hc.trans h) hc] #align div_lt_div_of_lt_left div_lt_div_of_pos_left -- 2024-02-16 @[deprecated] alias div_le_div_of_le_of_nonneg := div_le_div_of_nonneg_right @[deprecated] alias div_lt_div_of_lt := div_lt_div_of_pos_right @[deprecated] alias div_le_div_of_le_left := div_le_div_of_nonneg_left @[deprecated] alias div_lt_div_of_lt_left := div_lt_div_of_pos_left @[deprecated div_le_div_of_nonneg_right (since := "2024-02-16")] lemma div_le_div_of_le (hc : 0 ≤ c) (hab : a ≤ b) : a / c ≤ b / c := div_le_div_of_nonneg_right hab hc #align div_le_div_of_le div_le_div_of_le theorem div_le_div_right (hc : 0 < c) : a / c ≤ b / c ↔ a ≤ b := ⟨le_imp_le_of_lt_imp_lt fun hab ↦ div_lt_div_of_pos_right hab hc, fun hab ↦ div_le_div_of_nonneg_right hab hc.le⟩ #align div_le_div_right div_le_div_right theorem div_lt_div_right (hc : 0 < c) : a / c < b / c ↔ a < b := lt_iff_lt_of_le_iff_le <| div_le_div_right hc #align div_lt_div_right div_lt_div_right theorem div_lt_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b < a / c ↔ c < b := by simp only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv hb hc] #align div_lt_div_left div_lt_div_left theorem div_le_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b ≤ a / c ↔ c ≤ b := le_iff_le_iff_lt_iff_lt.2 (div_lt_div_left ha hc hb) #align div_le_div_left div_le_div_left theorem div_lt_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b < c / d ↔ a * d < c * b := by rw [lt_div_iff d0, div_mul_eq_mul_div, div_lt_iff b0] #align div_lt_div_iff div_lt_div_iff theorem div_le_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b ≤ c / d ↔ a * d ≤ c * b := by rw [le_div_iff d0, div_mul_eq_mul_div, div_le_iff b0] #align div_le_div_iff div_le_div_iff @[mono, gcongr] theorem div_le_div (hc : 0 ≤ c) (hac : a ≤ c) (hd : 0 < d) (hbd : d ≤ b) : a / b ≤ c / d := by rw [div_le_div_iff (hd.trans_le hbd) hd] exact mul_le_mul hac hbd hd.le hc #align div_le_div div_le_div @[gcongr] theorem div_lt_div (hac : a < c) (hbd : d ≤ b) (c0 : 0 ≤ c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans_le hbd) d0).2 (mul_lt_mul hac hbd d0 c0) #align div_lt_div div_lt_div theorem div_lt_div' (hac : a ≤ c) (hbd : d < b) (c0 : 0 < c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans hbd) d0).2 (mul_lt_mul' hac hbd d0.le c0) #align div_lt_div' div_lt_div' theorem div_le_self (ha : 0 ≤ a) (hb : 1 ≤ b) : a / b ≤ a := by simpa only [div_one] using div_le_div_of_nonneg_left ha zero_lt_one hb #align div_le_self div_le_self theorem div_lt_self (ha : 0 < a) (hb : 1 < b) : a / b < a := by simpa only [div_one] using div_lt_div_of_pos_left ha zero_lt_one hb #align div_lt_self div_lt_self theorem le_div_self (ha : 0 ≤ a) (hb₀ : 0 < b) (hb₁ : b ≤ 1) : a ≤ a / b := by simpa only [div_one] using div_le_div_of_nonneg_left ha hb₀ hb₁ #align le_div_self le_div_self theorem one_le_div (hb : 0 < b) : 1 ≤ a / b ↔ b ≤ a := by rw [le_div_iff hb, one_mul] #align one_le_div one_le_div theorem div_le_one (hb : 0 < b) : a / b ≤ 1 ↔ a ≤ b := by rw [div_le_iff hb, one_mul] #align div_le_one div_le_one theorem one_lt_div (hb : 0 < b) : 1 < a / b ↔ b < a := by rw [lt_div_iff hb, one_mul] #align one_lt_div one_lt_div theorem div_lt_one (hb : 0 < b) : a / b < 1 ↔ a < b := by rw [div_lt_iff hb, one_mul] #align div_lt_one div_lt_one theorem one_div_le (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ b ↔ 1 / b ≤ a := by simpa using inv_le ha hb #align one_div_le one_div_le theorem one_div_lt (ha : 0 < a) (hb : 0 < b) : 1 / a < b ↔ 1 / b < a := by simpa using inv_lt ha hb #align one_div_lt one_div_lt theorem le_one_div (ha : 0 < a) (hb : 0 < b) : a ≤ 1 / b ↔ b ≤ 1 / a := by simpa using le_inv ha hb #align le_one_div le_one_div theorem lt_one_div (ha : 0 < a) (hb : 0 < b) : a < 1 / b ↔ b < 1 / a := by simpa using lt_inv ha hb #align lt_one_div lt_one_div theorem one_div_le_one_div_of_le (ha : 0 < a) (h : a ≤ b) : 1 / b ≤ 1 / a := by simpa using inv_le_inv_of_le ha h #align one_div_le_one_div_of_le one_div_le_one_div_of_le theorem one_div_lt_one_div_of_lt (ha : 0 < a) (h : a < b) : 1 / b < 1 / a := by rwa [lt_div_iff' ha, ← div_eq_mul_one_div, div_lt_one (ha.trans h)] #align one_div_lt_one_div_of_lt one_div_lt_one_div_of_lt theorem le_of_one_div_le_one_div (ha : 0 < a) (h : 1 / a ≤ 1 / b) : b ≤ a := le_imp_le_of_lt_imp_lt (one_div_lt_one_div_of_lt ha) h #align le_of_one_div_le_one_div le_of_one_div_le_one_div theorem lt_of_one_div_lt_one_div (ha : 0 < a) (h : 1 / a < 1 / b) : b < a := lt_imp_lt_of_le_imp_le (one_div_le_one_div_of_le ha) h #align lt_of_one_div_lt_one_div lt_of_one_div_lt_one_div theorem one_div_le_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ 1 / b ↔ b ≤ a := div_le_div_left zero_lt_one ha hb #align one_div_le_one_div one_div_le_one_div theorem one_div_lt_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a < 1 / b ↔ b < a := div_lt_div_left zero_lt_one ha hb #align one_div_lt_one_div one_div_lt_one_div theorem one_lt_one_div (h1 : 0 < a) (h2 : a < 1) : 1 < 1 / a := by rwa [lt_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_lt_one_div one_lt_one_div theorem one_le_one_div (h1 : 0 < a) (h2 : a ≤ 1) : 1 ≤ 1 / a := by rwa [le_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_le_one_div one_le_one_div theorem add_halves (a : α) : a / 2 + a / 2 = a := by rw [div_add_div_same, ← two_mul, mul_div_cancel_left₀ a two_ne_zero] #align add_halves add_halves -- TODO: Generalize to `DivisionSemiring` theorem add_self_div_two (a : α) : (a + a) / 2 = a := by rw [← mul_two, mul_div_cancel_right₀ a two_ne_zero] #align add_self_div_two add_self_div_two theorem half_pos (h : 0 < a) : 0 < a / 2 := div_pos h zero_lt_two #align half_pos half_pos theorem one_half_pos : (0 : α) < 1 / 2 := half_pos zero_lt_one #align one_half_pos one_half_pos @[simp] theorem half_le_self_iff : a / 2 ≤ a ↔ 0 ≤ a := by rw [div_le_iff (zero_lt_two' α), mul_two, le_add_iff_nonneg_left] #align half_le_self_iff half_le_self_iff @[simp] theorem half_lt_self_iff : a / 2 < a ↔ 0 < a := by rw [div_lt_iff (zero_lt_two' α), mul_two, lt_add_iff_pos_left] #align half_lt_self_iff half_lt_self_iff alias ⟨_, half_le_self⟩ := half_le_self_iff #align half_le_self half_le_self alias ⟨_, half_lt_self⟩ := half_lt_self_iff #align half_lt_self half_lt_self alias div_two_lt_of_pos := half_lt_self #align div_two_lt_of_pos div_two_lt_of_pos theorem one_half_lt_one : (1 / 2 : α) < 1 := half_lt_self zero_lt_one #align one_half_lt_one one_half_lt_one theorem two_inv_lt_one : (2⁻¹ : α) < 1 := (one_div _).symm.trans_lt one_half_lt_one #align two_inv_lt_one two_inv_lt_one theorem left_lt_add_div_two : a < (a + b) / 2 ↔ a < b := by simp [lt_div_iff, mul_two] #align left_lt_add_div_two left_lt_add_div_two theorem add_div_two_lt_right : (a + b) / 2 < b ↔ a < b := by simp [div_lt_iff, mul_two] #align add_div_two_lt_right add_div_two_lt_right theorem add_thirds (a : α) : a / 3 + a / 3 + a / 3 = a := by rw [div_add_div_same, div_add_div_same, ← two_mul, ← add_one_mul 2 a, two_add_one_eq_three, mul_div_cancel_left₀ a three_ne_zero] @[simp] lemma div_pos_iff_of_pos_left (ha : 0 < a) : 0 < a / b ↔ 0 < b := by simp only [div_eq_mul_inv, mul_pos_iff_of_pos_left ha, inv_pos] @[simp] lemma div_pos_iff_of_pos_right (hb : 0 < b) : 0 < a / b ↔ 0 < a := by simp only [div_eq_mul_inv, mul_pos_iff_of_pos_right (inv_pos.2 hb)] theorem mul_le_mul_of_mul_div_le (h : a * (b / c) ≤ d) (hc : 0 < c) : b * a ≤ d * c := by rw [← mul_div_assoc] at h rwa [mul_comm b, ← div_le_iff hc] #align mul_le_mul_of_mul_div_le mul_le_mul_of_mul_div_le theorem div_mul_le_div_mul_of_div_le_div (h : a / b ≤ c / d) (he : 0 ≤ e) : a / (b * e) ≤ c / (d * e) := by rw [div_mul_eq_div_mul_one_div, div_mul_eq_div_mul_one_div] exact mul_le_mul_of_nonneg_right h (one_div_nonneg.2 he) #align div_mul_le_div_mul_of_div_le_div div_mul_le_div_mul_of_div_le_div
Mathlib/Algebra/Order/Field/Basic.lean
512
516
theorem exists_pos_mul_lt {a : α} (h : 0 < a) (b : α) : ∃ c : α, 0 < c ∧ b * c < a := by
have : 0 < a / max (b + 1) 1 := div_pos h (lt_max_iff.2 (Or.inr zero_lt_one)) refine ⟨a / max (b + 1) 1, this, ?_⟩ rw [← lt_div_iff this, div_div_cancel' h.ne'] exact lt_max_iff.2 (Or.inl <| lt_add_one _)
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
Mathlib/Data/Set/Lattice.lean
973
974
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]
import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Prod import Mathlib.Data.Fintype.Pi import Mathlib.Data.Vector.Basic import Mathlib.Data.PFun import Mathlib.Logic.Function.Iterate import Mathlib.Order.Basic import Mathlib.Tactic.ApplyFun #align_import computability.turing_machine from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" assert_not_exists MonoidWithZero open Relation open Nat (iterate) open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply' iterate_zero_apply) namespace Turing def BlankExtends {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop := ∃ n, l₂ = l₁ ++ List.replicate n default #align turing.blank_extends Turing.BlankExtends @[refl] theorem BlankExtends.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankExtends l l := ⟨0, by simp⟩ #align turing.blank_extends.refl Turing.BlankExtends.refl @[trans] theorem BlankExtends.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} : BlankExtends l₁ l₂ → BlankExtends l₂ l₃ → BlankExtends l₁ l₃ := by rintro ⟨i, rfl⟩ ⟨j, rfl⟩ exact ⟨i + j, by simp [List.replicate_add]⟩ #align turing.blank_extends.trans Turing.BlankExtends.trans theorem BlankExtends.below_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} : BlankExtends l l₁ → BlankExtends l l₂ → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h; use j - i simp only [List.length_append, Nat.add_le_add_iff_left, List.length_replicate] at h simp only [← List.replicate_add, Nat.add_sub_cancel' h, List.append_assoc] #align turing.blank_extends.below_of_le Turing.BlankExtends.below_of_le def BlankExtends.above {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} (h₁ : BlankExtends l l₁) (h₂ : BlankExtends l l₂) : { l' // BlankExtends l₁ l' ∧ BlankExtends l₂ l' } := if h : l₁.length ≤ l₂.length then ⟨l₂, h₁.below_of_le h₂ h, BlankExtends.refl _⟩ else ⟨l₁, BlankExtends.refl _, h₂.below_of_le h₁ (le_of_not_ge h)⟩ #align turing.blank_extends.above Turing.BlankExtends.above theorem BlankExtends.above_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} : BlankExtends l₁ l → BlankExtends l₂ l → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by rintro ⟨i, rfl⟩ ⟨j, e⟩ h; use i - j refine List.append_cancel_right (e.symm.trans ?_) rw [List.append_assoc, ← List.replicate_add, Nat.sub_add_cancel] apply_fun List.length at e simp only [List.length_append, List.length_replicate] at e rwa [← Nat.add_le_add_iff_left, e, Nat.add_le_add_iff_right] #align turing.blank_extends.above_of_le Turing.BlankExtends.above_of_le def BlankRel {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop := BlankExtends l₁ l₂ ∨ BlankExtends l₂ l₁ #align turing.blank_rel Turing.BlankRel @[refl] theorem BlankRel.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankRel l l := Or.inl (BlankExtends.refl _) #align turing.blank_rel.refl Turing.BlankRel.refl @[symm] theorem BlankRel.symm {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₁ := Or.symm #align turing.blank_rel.symm Turing.BlankRel.symm @[trans] theorem BlankRel.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₃ → BlankRel l₁ l₃ := by rintro (h₁ | h₁) (h₂ | h₂) · exact Or.inl (h₁.trans h₂) · rcases le_total l₁.length l₃.length with h | h · exact Or.inl (h₁.above_of_le h₂ h) · exact Or.inr (h₂.above_of_le h₁ h) · rcases le_total l₁.length l₃.length with h | h · exact Or.inl (h₁.below_of_le h₂ h) · exact Or.inr (h₂.below_of_le h₁ h) · exact Or.inr (h₂.trans h₁) #align turing.blank_rel.trans Turing.BlankRel.trans def BlankRel.above {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) : { l // BlankExtends l₁ l ∧ BlankExtends l₂ l } := by refine if hl : l₁.length ≤ l₂.length then ⟨l₂, Or.elim h id fun h' ↦ ?_, BlankExtends.refl _⟩ else ⟨l₁, BlankExtends.refl _, Or.elim h (fun h' ↦ ?_) id⟩ · exact (BlankExtends.refl _).above_of_le h' hl · exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl) #align turing.blank_rel.above Turing.BlankRel.above def BlankRel.below {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) : { l // BlankExtends l l₁ ∧ BlankExtends l l₂ } := by refine if hl : l₁.length ≤ l₂.length then ⟨l₁, BlankExtends.refl _, Or.elim h id fun h' ↦ ?_⟩ else ⟨l₂, Or.elim h (fun h' ↦ ?_) id, BlankExtends.refl _⟩ · exact (BlankExtends.refl _).above_of_le h' hl · exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl) #align turing.blank_rel.below Turing.BlankRel.below theorem BlankRel.equivalence (Γ) [Inhabited Γ] : Equivalence (@BlankRel Γ _) := ⟨BlankRel.refl, @BlankRel.symm _ _, @BlankRel.trans _ _⟩ #align turing.blank_rel.equivalence Turing.BlankRel.equivalence def BlankRel.setoid (Γ) [Inhabited Γ] : Setoid (List Γ) := ⟨_, BlankRel.equivalence _⟩ #align turing.blank_rel.setoid Turing.BlankRel.setoid def ListBlank (Γ) [Inhabited Γ] := Quotient (BlankRel.setoid Γ) #align turing.list_blank Turing.ListBlank instance ListBlank.inhabited {Γ} [Inhabited Γ] : Inhabited (ListBlank Γ) := ⟨Quotient.mk'' []⟩ #align turing.list_blank.inhabited Turing.ListBlank.inhabited instance ListBlank.hasEmptyc {Γ} [Inhabited Γ] : EmptyCollection (ListBlank Γ) := ⟨Quotient.mk'' []⟩ #align turing.list_blank.has_emptyc Turing.ListBlank.hasEmptyc -- Porting note: Removed `@[elab_as_elim]` protected abbrev ListBlank.liftOn {Γ} [Inhabited Γ] {α} (l : ListBlank Γ) (f : List Γ → α) (H : ∀ a b, BlankExtends a b → f a = f b) : α := l.liftOn' f <| by rintro a b (h | h) <;> [exact H _ _ h; exact (H _ _ h).symm] #align turing.list_blank.lift_on Turing.ListBlank.liftOn def ListBlank.mk {Γ} [Inhabited Γ] : List Γ → ListBlank Γ := Quotient.mk'' #align turing.list_blank.mk Turing.ListBlank.mk @[elab_as_elim] protected theorem ListBlank.induction_on {Γ} [Inhabited Γ] {p : ListBlank Γ → Prop} (q : ListBlank Γ) (h : ∀ a, p (ListBlank.mk a)) : p q := Quotient.inductionOn' q h #align turing.list_blank.induction_on Turing.ListBlank.induction_on def ListBlank.head {Γ} [Inhabited Γ] (l : ListBlank Γ) : Γ := by apply l.liftOn List.headI rintro a _ ⟨i, rfl⟩ cases a · cases i <;> rfl rfl #align turing.list_blank.head Turing.ListBlank.head @[simp] theorem ListBlank.head_mk {Γ} [Inhabited Γ] (l : List Γ) : ListBlank.head (ListBlank.mk l) = l.headI := rfl #align turing.list_blank.head_mk Turing.ListBlank.head_mk def ListBlank.tail {Γ} [Inhabited Γ] (l : ListBlank Γ) : ListBlank Γ := by apply l.liftOn (fun l ↦ ListBlank.mk l.tail) rintro a _ ⟨i, rfl⟩ refine Quotient.sound' (Or.inl ?_) cases a · cases' i with i <;> [exact ⟨0, rfl⟩; exact ⟨i, rfl⟩] exact ⟨i, rfl⟩ #align turing.list_blank.tail Turing.ListBlank.tail @[simp] theorem ListBlank.tail_mk {Γ} [Inhabited Γ] (l : List Γ) : ListBlank.tail (ListBlank.mk l) = ListBlank.mk l.tail := rfl #align turing.list_blank.tail_mk Turing.ListBlank.tail_mk def ListBlank.cons {Γ} [Inhabited Γ] (a : Γ) (l : ListBlank Γ) : ListBlank Γ := by apply l.liftOn (fun l ↦ ListBlank.mk (List.cons a l)) rintro _ _ ⟨i, rfl⟩ exact Quotient.sound' (Or.inl ⟨i, rfl⟩) #align turing.list_blank.cons Turing.ListBlank.cons @[simp] theorem ListBlank.cons_mk {Γ} [Inhabited Γ] (a : Γ) (l : List Γ) : ListBlank.cons a (ListBlank.mk l) = ListBlank.mk (a :: l) := rfl #align turing.list_blank.cons_mk Turing.ListBlank.cons_mk @[simp] theorem ListBlank.head_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).head = a := Quotient.ind' fun _ ↦ rfl #align turing.list_blank.head_cons Turing.ListBlank.head_cons @[simp] theorem ListBlank.tail_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).tail = l := Quotient.ind' fun _ ↦ rfl #align turing.list_blank.tail_cons Turing.ListBlank.tail_cons @[simp] theorem ListBlank.cons_head_tail {Γ} [Inhabited Γ] : ∀ l : ListBlank Γ, l.tail.cons l.head = l := by apply Quotient.ind' refine fun l ↦ Quotient.sound' (Or.inr ?_) cases l · exact ⟨1, rfl⟩ · rfl #align turing.list_blank.cons_head_tail Turing.ListBlank.cons_head_tail theorem ListBlank.exists_cons {Γ} [Inhabited Γ] (l : ListBlank Γ) : ∃ a l', l = ListBlank.cons a l' := ⟨_, _, (ListBlank.cons_head_tail _).symm⟩ #align turing.list_blank.exists_cons Turing.ListBlank.exists_cons def ListBlank.nth {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : Γ := by apply l.liftOn (fun l ↦ List.getI l n) rintro l _ ⟨i, rfl⟩ cases' lt_or_le n _ with h h · rw [List.getI_append _ _ _ h] rw [List.getI_eq_default _ h] rcases le_or_lt _ n with h₂ | h₂ · rw [List.getI_eq_default _ h₂] rw [List.getI_eq_get _ h₂, List.get_append_right' h, List.get_replicate] #align turing.list_blank.nth Turing.ListBlank.nth @[simp] theorem ListBlank.nth_mk {Γ} [Inhabited Γ] (l : List Γ) (n : ℕ) : (ListBlank.mk l).nth n = l.getI n := rfl #align turing.list_blank.nth_mk Turing.ListBlank.nth_mk @[simp] theorem ListBlank.nth_zero {Γ} [Inhabited Γ] (l : ListBlank Γ) : l.nth 0 = l.head := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l.tail fun l ↦ rfl #align turing.list_blank.nth_zero Turing.ListBlank.nth_zero @[simp] theorem ListBlank.nth_succ {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : l.nth (n + 1) = l.tail.nth n := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l.tail fun l ↦ rfl #align turing.list_blank.nth_succ Turing.ListBlank.nth_succ @[ext] theorem ListBlank.ext {Γ} [i : Inhabited Γ] {L₁ L₂ : ListBlank Γ} : (∀ i, L₁.nth i = L₂.nth i) → L₁ = L₂ := by refine ListBlank.induction_on L₁ fun l₁ ↦ ListBlank.induction_on L₂ fun l₂ H ↦ ?_ wlog h : l₁.length ≤ l₂.length · cases le_total l₁.length l₂.length <;> [skip; symm] <;> apply this <;> try assumption intro rw [H] refine Quotient.sound' (Or.inl ⟨l₂.length - l₁.length, ?_⟩) refine List.ext_get ?_ fun i h h₂ ↦ Eq.symm ?_ · simp only [Nat.add_sub_cancel' h, List.length_append, List.length_replicate] simp only [ListBlank.nth_mk] at H cases' lt_or_le i l₁.length with h' h' · simp only [List.get_append _ h', List.get?_eq_get h, List.get?_eq_get h', ← List.getI_eq_get _ h, ← List.getI_eq_get _ h', H] · simp only [List.get_append_right' h', List.get_replicate, List.get?_eq_get h, List.get?_len_le h', ← List.getI_eq_default _ h', H, List.getI_eq_get _ h] #align turing.list_blank.ext Turing.ListBlank.ext @[simp] def ListBlank.modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) : ℕ → ListBlank Γ → ListBlank Γ | 0, L => L.tail.cons (f L.head) | n + 1, L => (L.tail.modifyNth f n).cons L.head #align turing.list_blank.modify_nth Turing.ListBlank.modifyNth theorem ListBlank.nth_modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) (n i) (L : ListBlank Γ) : (L.modifyNth f n).nth i = if i = n then f (L.nth i) else L.nth i := by induction' n with n IH generalizing i L · cases i <;> simp only [ListBlank.nth_zero, if_true, ListBlank.head_cons, ListBlank.modifyNth, ListBlank.nth_succ, if_false, ListBlank.tail_cons, Nat.zero_eq] · cases i · rw [if_neg (Nat.succ_ne_zero _).symm] simp only [ListBlank.nth_zero, ListBlank.head_cons, ListBlank.modifyNth, Nat.zero_eq] · simp only [IH, ListBlank.modifyNth, ListBlank.nth_succ, ListBlank.tail_cons, Nat.succ.injEq] #align turing.list_blank.nth_modify_nth Turing.ListBlank.nth_modifyNth structure PointedMap.{u, v} (Γ : Type u) (Γ' : Type v) [Inhabited Γ] [Inhabited Γ'] : Type max u v where f : Γ → Γ' map_pt' : f default = default #align turing.pointed_map Turing.PointedMap instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : Inhabited (PointedMap Γ Γ') := ⟨⟨default, rfl⟩⟩ instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : CoeFun (PointedMap Γ Γ') fun _ ↦ Γ → Γ' := ⟨PointedMap.f⟩ -- @[simp] -- Porting note (#10685): dsimp can prove this theorem PointedMap.mk_val {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : Γ → Γ') (pt) : (PointedMap.mk f pt : Γ → Γ') = f := rfl #align turing.pointed_map.mk_val Turing.PointedMap.mk_val @[simp] theorem PointedMap.map_pt {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') : f default = default := PointedMap.map_pt' _ #align turing.pointed_map.map_pt Turing.PointedMap.map_pt @[simp] theorem PointedMap.headI_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (l.map f).headI = f l.headI := by cases l <;> [exact (PointedMap.map_pt f).symm; rfl] #align turing.pointed_map.head_map Turing.PointedMap.headI_map def ListBlank.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : ListBlank Γ' := by apply l.liftOn (fun l ↦ ListBlank.mk (List.map f l)) rintro l _ ⟨i, rfl⟩; refine Quotient.sound' (Or.inl ⟨i, ?_⟩) simp only [PointedMap.map_pt, List.map_append, List.map_replicate] #align turing.list_blank.map Turing.ListBlank.map @[simp] theorem ListBlank.map_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (ListBlank.mk l).map f = ListBlank.mk (l.map f) := rfl #align turing.list_blank.map_mk Turing.ListBlank.map_mk @[simp] theorem ListBlank.head_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : (l.map f).head = f l.head := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l fun a ↦ rfl #align turing.list_blank.head_map Turing.ListBlank.head_map @[simp] theorem ListBlank.tail_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : (l.map f).tail = l.tail.map f := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l fun a ↦ rfl #align turing.list_blank.tail_map Turing.ListBlank.tail_map @[simp] theorem ListBlank.map_cons {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) (a : Γ) : (l.cons a).map f = (l.map f).cons (f a) := by refine (ListBlank.cons_head_tail _).symm.trans ?_ simp only [ListBlank.head_map, ListBlank.head_cons, ListBlank.tail_map, ListBlank.tail_cons] #align turing.list_blank.map_cons Turing.ListBlank.map_cons @[simp] theorem ListBlank.nth_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) (n : ℕ) : (l.map f).nth n = f (l.nth n) := by refine l.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices ((mk l).map f).nth n = f ((mk l).nth n) by exact this simp only [List.get?_map, ListBlank.map_mk, ListBlank.nth_mk, List.getI_eq_iget_get?] cases l.get? n · exact f.2.symm · rfl #align turing.list_blank.nth_map Turing.ListBlank.nth_map def proj {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) : PointedMap (∀ i, Γ i) (Γ i) := ⟨fun a ↦ a i, rfl⟩ #align turing.proj Turing.proj theorem proj_map_nth {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) (L n) : (ListBlank.map (@proj ι Γ _ i) L).nth n = L.nth n i := by rw [ListBlank.nth_map]; rfl #align turing.proj_map_nth Turing.proj_map_nth theorem ListBlank.map_modifyNth {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (F : PointedMap Γ Γ') (f : Γ → Γ) (f' : Γ' → Γ') (H : ∀ x, F (f x) = f' (F x)) (n) (L : ListBlank Γ) : (L.modifyNth f n).map F = (L.map F).modifyNth f' n := by induction' n with n IH generalizing L <;> simp only [*, ListBlank.head_map, ListBlank.modifyNth, ListBlank.map_cons, ListBlank.tail_map] #align turing.list_blank.map_modify_nth Turing.ListBlank.map_modifyNth @[simp] def ListBlank.append {Γ} [Inhabited Γ] : List Γ → ListBlank Γ → ListBlank Γ | [], L => L | a :: l, L => ListBlank.cons a (ListBlank.append l L) #align turing.list_blank.append Turing.ListBlank.append @[simp] theorem ListBlank.append_mk {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : ListBlank.append l₁ (ListBlank.mk l₂) = ListBlank.mk (l₁ ++ l₂) := by induction l₁ <;> simp only [*, ListBlank.append, List.nil_append, List.cons_append, ListBlank.cons_mk] #align turing.list_blank.append_mk Turing.ListBlank.append_mk theorem ListBlank.append_assoc {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) (l₃ : ListBlank Γ) : ListBlank.append (l₁ ++ l₂) l₃ = ListBlank.append l₁ (ListBlank.append l₂ l₃) := by refine l₃.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices append (l₁ ++ l₂) (mk l) = append l₁ (append l₂ (mk l)) by exact this simp only [ListBlank.append_mk, List.append_assoc] #align turing.list_blank.append_assoc Turing.ListBlank.append_assoc def ListBlank.bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : ListBlank Γ) (f : Γ → List Γ') (hf : ∃ n, f default = List.replicate n default) : ListBlank Γ' := by apply l.liftOn (fun l ↦ ListBlank.mk (List.bind l f)) rintro l _ ⟨i, rfl⟩; cases' hf with n e; refine Quotient.sound' (Or.inl ⟨i * n, ?_⟩) rw [List.append_bind, mul_comm]; congr induction' i with i IH · rfl simp only [IH, e, List.replicate_add, Nat.mul_succ, add_comm, List.replicate_succ, List.cons_bind] #align turing.list_blank.bind Turing.ListBlank.bind @[simp] theorem ListBlank.bind_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : List Γ) (f : Γ → List Γ') (hf) : (ListBlank.mk l).bind f hf = ListBlank.mk (l.bind f) := rfl #align turing.list_blank.bind_mk Turing.ListBlank.bind_mk @[simp] theorem ListBlank.cons_bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (a : Γ) (l : ListBlank Γ) (f : Γ → List Γ') (hf) : (l.cons a).bind f hf = (l.bind f hf).append (f a) := by refine l.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices ((mk l).cons a).bind f hf = ((mk l).bind f hf).append (f a) by exact this simp only [ListBlank.append_mk, ListBlank.bind_mk, ListBlank.cons_mk, List.cons_bind] #align turing.list_blank.cons_bind Turing.ListBlank.cons_bind structure Tape (Γ : Type*) [Inhabited Γ] where head : Γ left : ListBlank Γ right : ListBlank Γ #align turing.tape Turing.Tape instance Tape.inhabited {Γ} [Inhabited Γ] : Inhabited (Tape Γ) := ⟨by constructor <;> apply default⟩ #align turing.tape.inhabited Turing.Tape.inhabited inductive Dir | left | right deriving DecidableEq, Inhabited #align turing.dir Turing.Dir def Tape.left₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ := T.left.cons T.head #align turing.tape.left₀ Turing.Tape.left₀ def Tape.right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ := T.right.cons T.head #align turing.tape.right₀ Turing.Tape.right₀ def Tape.move {Γ} [Inhabited Γ] : Dir → Tape Γ → Tape Γ | Dir.left, ⟨a, L, R⟩ => ⟨L.head, L.tail, R.cons a⟩ | Dir.right, ⟨a, L, R⟩ => ⟨R.head, L.cons a, R.tail⟩ #align turing.tape.move Turing.Tape.move @[simp] theorem Tape.move_left_right {Γ} [Inhabited Γ] (T : Tape Γ) : (T.move Dir.left).move Dir.right = T := by cases T; simp [Tape.move] #align turing.tape.move_left_right Turing.Tape.move_left_right @[simp] theorem Tape.move_right_left {Γ} [Inhabited Γ] (T : Tape Γ) : (T.move Dir.right).move Dir.left = T := by cases T; simp [Tape.move] #align turing.tape.move_right_left Turing.Tape.move_right_left def Tape.mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : Tape Γ := ⟨R.head, L, R.tail⟩ #align turing.tape.mk' Turing.Tape.mk' @[simp] theorem Tape.mk'_left {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).left = L := rfl #align turing.tape.mk'_left Turing.Tape.mk'_left @[simp] theorem Tape.mk'_head {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).head = R.head := rfl #align turing.tape.mk'_head Turing.Tape.mk'_head @[simp] theorem Tape.mk'_right {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right = R.tail := rfl #align turing.tape.mk'_right Turing.Tape.mk'_right @[simp] theorem Tape.mk'_right₀ {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right₀ = R := ListBlank.cons_head_tail _ #align turing.tape.mk'_right₀ Turing.Tape.mk'_right₀ @[simp] theorem Tape.mk'_left_right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : Tape.mk' T.left T.right₀ = T := by cases T simp only [Tape.right₀, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true, and_self_iff] #align turing.tape.mk'_left_right₀ Turing.Tape.mk'_left_right₀ theorem Tape.exists_mk' {Γ} [Inhabited Γ] (T : Tape Γ) : ∃ L R, T = Tape.mk' L R := ⟨_, _, (Tape.mk'_left_right₀ _).symm⟩ #align turing.tape.exists_mk' Turing.Tape.exists_mk' @[simp] theorem Tape.move_left_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).move Dir.left = Tape.mk' L.tail (R.cons L.head) := by simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail, and_self_iff, ListBlank.tail_cons] #align turing.tape.move_left_mk' Turing.Tape.move_left_mk' @[simp] theorem Tape.move_right_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).move Dir.right = Tape.mk' (L.cons R.head) R.tail := by simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail, and_self_iff, ListBlank.tail_cons] #align turing.tape.move_right_mk' Turing.Tape.move_right_mk' def Tape.mk₂ {Γ} [Inhabited Γ] (L R : List Γ) : Tape Γ := Tape.mk' (ListBlank.mk L) (ListBlank.mk R) #align turing.tape.mk₂ Turing.Tape.mk₂ def Tape.mk₁ {Γ} [Inhabited Γ] (l : List Γ) : Tape Γ := Tape.mk₂ [] l #align turing.tape.mk₁ Turing.Tape.mk₁ def Tape.nth {Γ} [Inhabited Γ] (T : Tape Γ) : ℤ → Γ | 0 => T.head | (n + 1 : ℕ) => T.right.nth n | -(n + 1 : ℕ) => T.left.nth n #align turing.tape.nth Turing.Tape.nth @[simp] theorem Tape.nth_zero {Γ} [Inhabited Γ] (T : Tape Γ) : T.nth 0 = T.1 := rfl #align turing.tape.nth_zero Turing.Tape.nth_zero theorem Tape.right₀_nth {Γ} [Inhabited Γ] (T : Tape Γ) (n : ℕ) : T.right₀.nth n = T.nth n := by cases n <;> simp only [Tape.nth, Tape.right₀, Int.ofNat_zero, ListBlank.nth_zero, ListBlank.nth_succ, ListBlank.head_cons, ListBlank.tail_cons, Nat.zero_eq] #align turing.tape.right₀_nth Turing.Tape.right₀_nth @[simp] theorem Tape.mk'_nth_nat {Γ} [Inhabited Γ] (L R : ListBlank Γ) (n : ℕ) : (Tape.mk' L R).nth n = R.nth n := by rw [← Tape.right₀_nth, Tape.mk'_right₀] #align turing.tape.mk'_nth_nat Turing.Tape.mk'_nth_nat @[simp] theorem Tape.move_left_nth {Γ} [Inhabited Γ] : ∀ (T : Tape Γ) (i : ℤ), (T.move Dir.left).nth i = T.nth (i - 1) | ⟨_, L, _⟩, -(n + 1 : ℕ) => (ListBlank.nth_succ _ _).symm | ⟨_, L, _⟩, 0 => (ListBlank.nth_zero _).symm | ⟨a, L, R⟩, 1 => (ListBlank.nth_zero _).trans (ListBlank.head_cons _ _) | ⟨a, L, R⟩, (n + 1 : ℕ) + 1 => by rw [add_sub_cancel_right] change (R.cons a).nth (n + 1) = R.nth n rw [ListBlank.nth_succ, ListBlank.tail_cons] #align turing.tape.move_left_nth Turing.Tape.move_left_nth @[simp] theorem Tape.move_right_nth {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℤ) : (T.move Dir.right).nth i = T.nth (i + 1) := by conv => rhs; rw [← T.move_right_left] rw [Tape.move_left_nth, add_sub_cancel_right] #align turing.tape.move_right_nth Turing.Tape.move_right_nth @[simp] theorem Tape.move_right_n_head {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℕ) : ((Tape.move Dir.right)^[i] T).head = T.nth i := by induction i generalizing T · rfl · simp only [*, Tape.move_right_nth, Int.ofNat_succ, iterate_succ, Function.comp_apply] #align turing.tape.move_right_n_head Turing.Tape.move_right_n_head def Tape.write {Γ} [Inhabited Γ] (b : Γ) (T : Tape Γ) : Tape Γ := { T with head := b } #align turing.tape.write Turing.Tape.write @[simp] theorem Tape.write_self {Γ} [Inhabited Γ] : ∀ T : Tape Γ, T.write T.1 = T := by rintro ⟨⟩; rfl #align turing.tape.write_self Turing.Tape.write_self @[simp] theorem Tape.write_nth {Γ} [Inhabited Γ] (b : Γ) : ∀ (T : Tape Γ) {i : ℤ}, (T.write b).nth i = if i = 0 then b else T.nth i | _, 0 => rfl | _, (_ + 1 : ℕ) => rfl | _, -(_ + 1 : ℕ) => rfl #align turing.tape.write_nth Turing.Tape.write_nth @[simp] theorem Tape.write_mk' {Γ} [Inhabited Γ] (a b : Γ) (L R : ListBlank Γ) : (Tape.mk' L (R.cons a)).write b = Tape.mk' L (R.cons b) := by simp only [Tape.write, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true, and_self_iff] #align turing.tape.write_mk' Turing.Tape.write_mk' def Tape.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (T : Tape Γ) : Tape Γ' := ⟨f T.1, T.2.map f, T.3.map f⟩ #align turing.tape.map Turing.Tape.map @[simp] theorem Tape.map_fst {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') : ∀ T : Tape Γ, (T.map f).1 = f T.1 := by rintro ⟨⟩; rfl #align turing.tape.map_fst Turing.Tape.map_fst @[simp] theorem Tape.map_write {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (b : Γ) : ∀ T : Tape Γ, (T.write b).map f = (T.map f).write (f b) := by rintro ⟨⟩; rfl #align turing.tape.map_write Turing.Tape.map_write -- Porting note: `simpNF` complains about LHS does not simplify when using the simp lemma on -- itself, but it does indeed. @[simp, nolint simpNF] theorem Tape.write_move_right_n {Γ} [Inhabited Γ] (f : Γ → Γ) (L R : ListBlank Γ) (n : ℕ) : ((Tape.move Dir.right)^[n] (Tape.mk' L R)).write (f (R.nth n)) = (Tape.move Dir.right)^[n] (Tape.mk' L (R.modifyNth f n)) := by induction' n with n IH generalizing L R · simp only [ListBlank.nth_zero, ListBlank.modifyNth, iterate_zero_apply, Nat.zero_eq] rw [← Tape.write_mk', ListBlank.cons_head_tail] simp only [ListBlank.head_cons, ListBlank.nth_succ, ListBlank.modifyNth, Tape.move_right_mk', ListBlank.tail_cons, iterate_succ_apply, IH] #align turing.tape.write_move_right_n Turing.Tape.write_move_right_n theorem Tape.map_move {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (T : Tape Γ) (d) : (T.move d).map f = (T.map f).move d := by cases T cases d <;> simp only [Tape.move, Tape.map, ListBlank.head_map, eq_self_iff_true, ListBlank.map_cons, and_self_iff, ListBlank.tail_map] #align turing.tape.map_move Turing.Tape.map_move theorem Tape.map_mk' {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (L R : ListBlank Γ) : (Tape.mk' L R).map f = Tape.mk' (L.map f) (R.map f) := by simp only [Tape.mk', Tape.map, ListBlank.head_map, eq_self_iff_true, and_self_iff, ListBlank.tail_map] #align turing.tape.map_mk' Turing.Tape.map_mk' theorem Tape.map_mk₂ {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (L R : List Γ) : (Tape.mk₂ L R).map f = Tape.mk₂ (L.map f) (R.map f) := by simp only [Tape.mk₂, Tape.map_mk', ListBlank.map_mk] #align turing.tape.map_mk₂ Turing.Tape.map_mk₂ theorem Tape.map_mk₁ {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (Tape.mk₁ l).map f = Tape.mk₁ (l.map f) := Tape.map_mk₂ _ _ _ #align turing.tape.map_mk₁ Turing.Tape.map_mk₁ def eval {σ} (f : σ → Option σ) : σ → Part σ := PFun.fix fun s ↦ Part.some <| (f s).elim (Sum.inl s) Sum.inr #align turing.eval Turing.eval def Reaches {σ} (f : σ → Option σ) : σ → σ → Prop := ReflTransGen fun a b ↦ b ∈ f a #align turing.reaches Turing.Reaches def Reaches₁ {σ} (f : σ → Option σ) : σ → σ → Prop := TransGen fun a b ↦ b ∈ f a #align turing.reaches₁ Turing.Reaches₁ theorem reaches₁_eq {σ} {f : σ → Option σ} {a b c} (h : f a = f b) : Reaches₁ f a c ↔ Reaches₁ f b c := TransGen.head'_iff.trans (TransGen.head'_iff.trans <| by rw [h]).symm #align turing.reaches₁_eq Turing.reaches₁_eq theorem reaches_total {σ} {f : σ → Option σ} {a b c} (hab : Reaches f a b) (hac : Reaches f a c) : Reaches f b c ∨ Reaches f c b := ReflTransGen.total_of_right_unique (fun _ _ _ ↦ Option.mem_unique) hab hac #align turing.reaches_total Turing.reaches_total theorem reaches₁_fwd {σ} {f : σ → Option σ} {a b c} (h₁ : Reaches₁ f a c) (h₂ : b ∈ f a) : Reaches f b c := by rcases TransGen.head'_iff.1 h₁ with ⟨b', hab, hbc⟩ cases Option.mem_unique hab h₂; exact hbc #align turing.reaches₁_fwd Turing.reaches₁_fwd def Reaches₀ {σ} (f : σ → Option σ) (a b : σ) : Prop := ∀ c, Reaches₁ f b c → Reaches₁ f a c #align turing.reaches₀ Turing.Reaches₀ theorem Reaches₀.trans {σ} {f : σ → Option σ} {a b c : σ} (h₁ : Reaches₀ f a b) (h₂ : Reaches₀ f b c) : Reaches₀ f a c | _, h₃ => h₁ _ (h₂ _ h₃) #align turing.reaches₀.trans Turing.Reaches₀.trans @[refl] theorem Reaches₀.refl {σ} {f : σ → Option σ} (a : σ) : Reaches₀ f a a | _, h => h #align turing.reaches₀.refl Turing.Reaches₀.refl theorem Reaches₀.single {σ} {f : σ → Option σ} {a b : σ} (h : b ∈ f a) : Reaches₀ f a b | _, h₂ => h₂.head h #align turing.reaches₀.single Turing.Reaches₀.single theorem Reaches₀.head {σ} {f : σ → Option σ} {a b c : σ} (h : b ∈ f a) (h₂ : Reaches₀ f b c) : Reaches₀ f a c := (Reaches₀.single h).trans h₂ #align turing.reaches₀.head Turing.Reaches₀.head theorem Reaches₀.tail {σ} {f : σ → Option σ} {a b c : σ} (h₁ : Reaches₀ f a b) (h : c ∈ f b) : Reaches₀ f a c := h₁.trans (Reaches₀.single h) #align turing.reaches₀.tail Turing.Reaches₀.tail theorem reaches₀_eq {σ} {f : σ → Option σ} {a b} (e : f a = f b) : Reaches₀ f a b | _, h => (reaches₁_eq e).2 h #align turing.reaches₀_eq Turing.reaches₀_eq theorem Reaches₁.to₀ {σ} {f : σ → Option σ} {a b : σ} (h : Reaches₁ f a b) : Reaches₀ f a b | _, h₂ => h.trans h₂ #align turing.reaches₁.to₀ Turing.Reaches₁.to₀ theorem Reaches.to₀ {σ} {f : σ → Option σ} {a b : σ} (h : Reaches f a b) : Reaches₀ f a b | _, h₂ => h₂.trans_right h #align turing.reaches.to₀ Turing.Reaches.to₀ theorem Reaches₀.tail' {σ} {f : σ → Option σ} {a b c : σ} (h : Reaches₀ f a b) (h₂ : c ∈ f b) : Reaches₁ f a c := h _ (TransGen.single h₂) #align turing.reaches₀.tail' Turing.Reaches₀.tail' @[elab_as_elim] def evalInduction {σ} {f : σ → Option σ} {b : σ} {C : σ → Sort*} {a : σ} (h : b ∈ eval f a) (H : ∀ a, b ∈ eval f a → (∀ a', f a = some a' → C a') → C a) : C a := PFun.fixInduction h fun a' ha' h' ↦ H _ ha' fun b' e ↦ h' _ <| Part.mem_some_iff.2 <| by rw [e]; rfl #align turing.eval_induction Turing.evalInduction theorem mem_eval {σ} {f : σ → Option σ} {a b} : b ∈ eval f a ↔ Reaches f a b ∧ f b = none := by refine ⟨fun h ↦ ?_, fun ⟨h₁, h₂⟩ ↦ ?_⟩ · -- Porting note: Explicitly specify `c`. refine @evalInduction _ _ _ (fun a ↦ Reaches f a b ∧ f b = none) _ h fun a h IH ↦ ?_ cases' e : f a with a' · rw [Part.mem_unique h (PFun.mem_fix_iff.2 <| Or.inl <| Part.mem_some_iff.2 <| by rw [e] <;> rfl)] exact ⟨ReflTransGen.refl, e⟩ · rcases PFun.mem_fix_iff.1 h with (h | ⟨_, h, _⟩) <;> rw [e] at h <;> cases Part.mem_some_iff.1 h cases' IH a' e with h₁ h₂ exact ⟨ReflTransGen.head e h₁, h₂⟩ · refine ReflTransGen.head_induction_on h₁ ?_ fun h _ IH ↦ ?_ · refine PFun.mem_fix_iff.2 (Or.inl ?_) rw [h₂] apply Part.mem_some · refine PFun.mem_fix_iff.2 (Or.inr ⟨_, ?_, IH⟩) rw [h] apply Part.mem_some #align turing.mem_eval Turing.mem_eval theorem eval_maximal₁ {σ} {f : σ → Option σ} {a b} (h : b ∈ eval f a) (c) : ¬Reaches₁ f b c | bc => by let ⟨_, b0⟩ := mem_eval.1 h let ⟨b', h', _⟩ := TransGen.head'_iff.1 bc cases b0.symm.trans h' #align turing.eval_maximal₁ Turing.eval_maximal₁ theorem eval_maximal {σ} {f : σ → Option σ} {a b} (h : b ∈ eval f a) {c} : Reaches f b c ↔ c = b := let ⟨_, b0⟩ := mem_eval.1 h reflTransGen_iff_eq fun b' h' ↦ by cases b0.symm.trans h' #align turing.eval_maximal Turing.eval_maximal theorem reaches_eval {σ} {f : σ → Option σ} {a b} (ab : Reaches f a b) : eval f a = eval f b := by refine Part.ext fun _ ↦ ⟨fun h ↦ ?_, fun h ↦ ?_⟩ · have ⟨ac, c0⟩ := mem_eval.1 h exact mem_eval.2 ⟨(or_iff_left_of_imp fun cb ↦ (eval_maximal h).1 cb ▸ ReflTransGen.refl).1 (reaches_total ab ac), c0⟩ · have ⟨bc, c0⟩ := mem_eval.1 h exact mem_eval.2 ⟨ab.trans bc, c0⟩ #align turing.reaches_eval Turing.reaches_eval def Respects {σ₁ σ₂} (f₁ : σ₁ → Option σ₁) (f₂ : σ₂ → Option σ₂) (tr : σ₁ → σ₂ → Prop) := ∀ ⦃a₁ a₂⦄, tr a₁ a₂ → (match f₁ a₁ with | some b₁ => ∃ b₂, tr b₁ b₂ ∧ Reaches₁ f₂ a₂ b₂ | none => f₂ a₂ = none : Prop) #align turing.respects Turing.Respects theorem tr_reaches₁ {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) {b₁} (ab : Reaches₁ f₁ a₁ b₁) : ∃ b₂, tr b₁ b₂ ∧ Reaches₁ f₂ a₂ b₂ := by induction' ab with c₁ ac c₁ d₁ _ cd IH · have := H aa rwa [show f₁ a₁ = _ from ac] at this · rcases IH with ⟨c₂, cc, ac₂⟩ have := H cc rw [show f₁ c₁ = _ from cd] at this rcases this with ⟨d₂, dd, cd₂⟩ exact ⟨_, dd, ac₂.trans cd₂⟩ #align turing.tr_reaches₁ Turing.tr_reaches₁ theorem tr_reaches {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) {b₁} (ab : Reaches f₁ a₁ b₁) : ∃ b₂, tr b₁ b₂ ∧ Reaches f₂ a₂ b₂ := by rcases reflTransGen_iff_eq_or_transGen.1 ab with (rfl | ab) · exact ⟨_, aa, ReflTransGen.refl⟩ · have ⟨b₂, bb, h⟩ := tr_reaches₁ H aa ab exact ⟨b₂, bb, h.to_reflTransGen⟩ #align turing.tr_reaches Turing.tr_reaches theorem tr_reaches_rev {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) {b₂} (ab : Reaches f₂ a₂ b₂) : ∃ c₁ c₂, Reaches f₂ b₂ c₂ ∧ tr c₁ c₂ ∧ Reaches f₁ a₁ c₁ := by induction' ab with c₂ d₂ _ cd IH · exact ⟨_, _, ReflTransGen.refl, aa, ReflTransGen.refl⟩ · rcases IH with ⟨e₁, e₂, ce, ee, ae⟩ rcases ReflTransGen.cases_head ce with (rfl | ⟨d', cd', de⟩) · have := H ee revert this cases' eg : f₁ e₁ with g₁ <;> simp only [Respects, and_imp, exists_imp] · intro c0 cases cd.symm.trans c0 · intro g₂ gg cg rcases TransGen.head'_iff.1 cg with ⟨d', cd', dg⟩ cases Option.mem_unique cd cd' exact ⟨_, _, dg, gg, ae.tail eg⟩ · cases Option.mem_unique cd cd' exact ⟨_, _, de, ee, ae⟩ #align turing.tr_reaches_rev Turing.tr_reaches_rev theorem tr_eval {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ b₁ a₂} (aa : tr a₁ a₂) (ab : b₁ ∈ eval f₁ a₁) : ∃ b₂, tr b₁ b₂ ∧ b₂ ∈ eval f₂ a₂ := by cases' mem_eval.1 ab with ab b0 rcases tr_reaches H aa ab with ⟨b₂, bb, ab⟩ refine ⟨_, bb, mem_eval.2 ⟨ab, ?_⟩⟩ have := H bb; rwa [b0] at this #align turing.tr_eval Turing.tr_eval theorem tr_eval_rev {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ b₂ a₂} (aa : tr a₁ a₂) (ab : b₂ ∈ eval f₂ a₂) : ∃ b₁, tr b₁ b₂ ∧ b₁ ∈ eval f₁ a₁ := by cases' mem_eval.1 ab with ab b0 rcases tr_reaches_rev H aa ab with ⟨c₁, c₂, bc, cc, ac⟩ cases (reflTransGen_iff_eq (Option.eq_none_iff_forall_not_mem.1 b0)).1 bc refine ⟨_, cc, mem_eval.2 ⟨ac, ?_⟩⟩ have := H cc cases' hfc : f₁ c₁ with d₁ · rfl rw [hfc] at this rcases this with ⟨d₂, _, bd⟩ rcases TransGen.head'_iff.1 bd with ⟨e, h, _⟩ cases b0.symm.trans h #align turing.tr_eval_rev Turing.tr_eval_rev theorem tr_eval_dom {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop} (H : Respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) : (eval f₂ a₂).Dom ↔ (eval f₁ a₁).Dom := ⟨fun h ↦ let ⟨_, _, h, _⟩ := tr_eval_rev H aa ⟨h, rfl⟩ h, fun h ↦ let ⟨_, _, h, _⟩ := tr_eval H aa ⟨h, rfl⟩ h⟩ #align turing.tr_eval_dom Turing.tr_eval_dom def FRespects {σ₁ σ₂} (f₂ : σ₂ → Option σ₂) (tr : σ₁ → σ₂) (a₂ : σ₂) : Option σ₁ → Prop | some b₁ => Reaches₁ f₂ a₂ (tr b₁) | none => f₂ a₂ = none #align turing.frespects Turing.FRespects theorem frespects_eq {σ₁ σ₂} {f₂ : σ₂ → Option σ₂} {tr : σ₁ → σ₂} {a₂ b₂} (h : f₂ a₂ = f₂ b₂) : ∀ {b₁}, FRespects f₂ tr a₂ b₁ ↔ FRespects f₂ tr b₂ b₁ | some b₁ => reaches₁_eq h | none => by unfold FRespects; rw [h] #align turing.frespects_eq Turing.frespects_eq theorem fun_respects {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂} : (Respects f₁ f₂ fun a b ↦ tr a = b) ↔ ∀ ⦃a₁⦄, FRespects f₂ tr (tr a₁) (f₁ a₁) := forall_congr' fun a₁ ↦ by cases f₁ a₁ <;> simp only [FRespects, Respects, exists_eq_left', forall_eq'] #align turing.fun_respects Turing.fun_respects theorem tr_eval' {σ₁ σ₂} (f₁ : σ₁ → Option σ₁) (f₂ : σ₂ → Option σ₂) (tr : σ₁ → σ₂) (H : Respects f₁ f₂ fun a b ↦ tr a = b) (a₁) : eval f₂ (tr a₁) = tr <$> eval f₁ a₁ := Part.ext fun b₂ ↦ ⟨fun h ↦ let ⟨b₁, bb, hb⟩ := tr_eval_rev H rfl h (Part.mem_map_iff _).2 ⟨b₁, hb, bb⟩, fun h ↦ by rcases (Part.mem_map_iff _).1 h with ⟨b₁, ab, bb⟩ rcases tr_eval H rfl ab with ⟨_, rfl, h⟩ rwa [bb] at h⟩ #align turing.tr_eval' Turing.tr_eval' namespace TM2 set_option linter.uppercaseLean3 false -- for "TM2" section variable {K : Type*} [DecidableEq K] -- Index type of stacks variable (Γ : K → Type*) -- Type of stack elements variable (Λ : Type*) -- Type of function labels variable (σ : Type*) -- Type of variable settings inductive Stmt | push : ∀ k, (σ → Γ k) → Stmt → Stmt | peek : ∀ k, (σ → Option (Γ k) → σ) → Stmt → Stmt | pop : ∀ k, (σ → Option (Γ k) → σ) → Stmt → Stmt | load : (σ → σ) → Stmt → Stmt | branch : (σ → Bool) → Stmt → Stmt → Stmt | goto : (σ → Λ) → Stmt | halt : Stmt #align turing.TM2.stmt Turing.TM2.Stmt local notation "Stmt₂" => Stmt Γ Λ σ -- Porting note (#10750): added this to clean up types. open Stmt instance Stmt.inhabited : Inhabited Stmt₂ := ⟨halt⟩ #align turing.TM2.stmt.inhabited Turing.TM2.Stmt.inhabited structure Cfg where l : Option Λ var : σ stk : ∀ k, List (Γ k) #align turing.TM2.cfg Turing.TM2.Cfg local notation "Cfg₂" => Cfg Γ Λ σ -- Porting note (#10750): added this to clean up types. instance Cfg.inhabited [Inhabited σ] : Inhabited Cfg₂ := ⟨⟨default, default, default⟩⟩ #align turing.TM2.cfg.inhabited Turing.TM2.Cfg.inhabited variable {Γ Λ σ} @[simp] def stepAux : Stmt₂ → σ → (∀ k, List (Γ k)) → Cfg₂ | push k f q, v, S => stepAux q v (update S k (f v :: S k)) | peek k f q, v, S => stepAux q (f v (S k).head?) S | pop k f q, v, S => stepAux q (f v (S k).head?) (update S k (S k).tail) | load a q, v, S => stepAux q (a v) S | branch f q₁ q₂, v, S => cond (f v) (stepAux q₁ v S) (stepAux q₂ v S) | goto f, v, S => ⟨some (f v), v, S⟩ | halt, v, S => ⟨none, v, S⟩ #align turing.TM2.step_aux Turing.TM2.stepAux @[simp] def step (M : Λ → Stmt₂) : Cfg₂ → Option Cfg₂ | ⟨none, _, _⟩ => none | ⟨some l, v, S⟩ => some (stepAux (M l) v S) #align turing.TM2.step Turing.TM2.step def Reaches (M : Λ → Stmt₂) : Cfg₂ → Cfg₂ → Prop := ReflTransGen fun a b ↦ b ∈ step M a #align turing.TM2.reaches Turing.TM2.Reaches def SupportsStmt (S : Finset Λ) : Stmt₂ → Prop | push _ _ q => SupportsStmt S q | peek _ _ q => SupportsStmt S q | pop _ _ q => SupportsStmt S q | load _ q => SupportsStmt S q | branch _ q₁ q₂ => SupportsStmt S q₁ ∧ SupportsStmt S q₂ | goto l => ∀ v, l v ∈ S | halt => True #align turing.TM2.supports_stmt Turing.TM2.SupportsStmt open scoped Classical noncomputable def stmts₁ : Stmt₂ → Finset Stmt₂ | Q@(push _ _ q) => insert Q (stmts₁ q) | Q@(peek _ _ q) => insert Q (stmts₁ q) | Q@(pop _ _ q) => insert Q (stmts₁ q) | Q@(load _ q) => insert Q (stmts₁ q) | Q@(branch _ q₁ q₂) => insert Q (stmts₁ q₁ ∪ stmts₁ q₂) | Q@(goto _) => {Q} | Q@halt => {Q} #align turing.TM2.stmts₁ Turing.TM2.stmts₁ theorem stmts₁_self {q : Stmt₂} : q ∈ stmts₁ q := by cases q <;> simp only [Finset.mem_insert_self, Finset.mem_singleton_self, stmts₁] #align turing.TM2.stmts₁_self Turing.TM2.stmts₁_self theorem stmts₁_trans {q₁ q₂ : Stmt₂} : q₁ ∈ stmts₁ q₂ → stmts₁ q₁ ⊆ stmts₁ q₂ := by intro h₁₂ q₀ h₀₁ induction q₂ with ( simp only [stmts₁] at h₁₂ ⊢ simp only [Finset.mem_insert, Finset.mem_singleton, Finset.mem_union] at h₁₂) | branch f q₁ q₂ IH₁ IH₂ => rcases h₁₂ with (rfl | h₁₂ | h₁₂) · unfold stmts₁ at h₀₁ exact h₀₁ · exact Finset.mem_insert_of_mem (Finset.mem_union_left _ (IH₁ h₁₂)) · exact Finset.mem_insert_of_mem (Finset.mem_union_right _ (IH₂ h₁₂)) | goto l => subst h₁₂; exact h₀₁ | halt => subst h₁₂; exact h₀₁ | load _ q IH | _ _ _ q IH => rcases h₁₂ with (rfl | h₁₂) · unfold stmts₁ at h₀₁ exact h₀₁ · exact Finset.mem_insert_of_mem (IH h₁₂) #align turing.TM2.stmts₁_trans Turing.TM2.stmts₁_trans theorem stmts₁_supportsStmt_mono {S : Finset Λ} {q₁ q₂ : Stmt₂} (h : q₁ ∈ stmts₁ q₂) (hs : SupportsStmt S q₂) : SupportsStmt S q₁ := by induction q₂ with simp only [stmts₁, SupportsStmt, Finset.mem_insert, Finset.mem_union, Finset.mem_singleton] at h hs | branch f q₁ q₂ IH₁ IH₂ => rcases h with (rfl | h | h); exacts [hs, IH₁ h hs.1, IH₂ h hs.2] | goto l => subst h; exact hs | halt => subst h; trivial | load _ _ IH | _ _ _ _ IH => rcases h with (rfl | h) <;> [exact hs; exact IH h hs] #align turing.TM2.stmts₁_supports_stmt_mono Turing.TM2.stmts₁_supportsStmt_mono noncomputable def stmts (M : Λ → Stmt₂) (S : Finset Λ) : Finset (Option Stmt₂) := Finset.insertNone (S.biUnion fun q ↦ stmts₁ (M q)) #align turing.TM2.stmts Turing.TM2.stmts theorem stmts_trans {M : Λ → Stmt₂} {S : Finset Λ} {q₁ q₂ : Stmt₂} (h₁ : q₁ ∈ stmts₁ q₂) : some q₂ ∈ stmts M S → some q₁ ∈ stmts M S := by simp only [stmts, Finset.mem_insertNone, Finset.mem_biUnion, Option.mem_def, Option.some.injEq, forall_eq', exists_imp, and_imp] exact fun l ls h₂ ↦ ⟨_, ls, stmts₁_trans h₂ h₁⟩ #align turing.TM2.stmts_trans Turing.TM2.stmts_trans variable [Inhabited Λ] def Supports (M : Λ → Stmt₂) (S : Finset Λ) := default ∈ S ∧ ∀ q ∈ S, SupportsStmt S (M q) #align turing.TM2.supports Turing.TM2.Supports
Mathlib/Computability/TuringMachine.lean
2,242
2,246
theorem stmts_supportsStmt {M : Λ → Stmt₂} {S : Finset Λ} {q : Stmt₂} (ss : Supports M S) : some q ∈ stmts M S → SupportsStmt S q := by
simp only [stmts, Finset.mem_insertNone, Finset.mem_biUnion, Option.mem_def, Option.some.injEq, forall_eq', exists_imp, and_imp] exact fun l ls h ↦ stmts₁_supportsStmt_mono h (ss.2 _ ls)
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.MeasureTheory.Function.SimpleFunc import Mathlib.MeasureTheory.Measure.MutuallySingular import Mathlib.MeasureTheory.Measure.Count import Mathlib.Topology.IndicatorConstPointwise import Mathlib.MeasureTheory.Constructions.BorelSpace.Real #align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" assert_not_exists NormedSpace set_option autoImplicit true noncomputable section open Set hiding restrict restrict_apply open Filter ENNReal open Function (support) open scoped Classical open Topology NNReal ENNReal MeasureTheory namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc variable {α β γ δ : Type*} section Lintegral open SimpleFunc variable {m : MeasurableSpace α} {μ ν : Measure α} irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ := ⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ #align measure_theory.lintegral MeasureTheory.lintegral @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r @[inherit_doc MeasureTheory.lintegral] notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r @[inherit_doc MeasureTheory.lintegral] notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) : ∫⁻ a, f a ∂μ = f.lintegral μ := by rw [MeasureTheory.lintegral] exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl) (le_iSup₂_of_le f le_rfl le_rfl) #align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral @[mono] theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by rw [lintegral, lintegral] exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩ #align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono' -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) : lintegral μ f ≤ lintegral ν g := lintegral_mono' h2 hfg theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono' (le_refl μ) hfg #align measure_theory.lintegral_mono MeasureTheory.lintegral_mono -- workaround for the known eta-reduction issue with `@[gcongr]` @[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) : lintegral μ f ≤ lintegral μ g := lintegral_mono hfg theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a) #align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
Mathlib/MeasureTheory/Integral/Lebesgue.lean
114
120
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) : ⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm · exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i · rw [lintegral] refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_ exact le_of_eq (i.lintegral_eq_lintegral _).symm
import Mathlib.AlgebraicGeometry.Restrict import Mathlib.CategoryTheory.Adjunction.Limits import Mathlib.CategoryTheory.Adjunction.Reflective #align_import algebraic_geometry.Gamma_Spec_adjunction from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 set_option linter.uppercaseLean3 false noncomputable section universe u open PrimeSpectrum namespace AlgebraicGeometry open Opposite open CategoryTheory open StructureSheaf open Spec (structureSheaf) open TopologicalSpace open AlgebraicGeometry.LocallyRingedSpace open TopCat.Presheaf open TopCat.Presheaf.SheafCondition namespace LocallyRingedSpace variable (X : LocallyRingedSpace.{u}) def ΓToStalk (x : X) : Γ.obj (op X) ⟶ X.presheaf.stalk x := X.presheaf.germ (⟨x, trivial⟩ : (⊤ : Opens X)) #align algebraic_geometry.LocallyRingedSpace.Γ_to_stalk AlgebraicGeometry.LocallyRingedSpace.ΓToStalk def toΓSpecFun : X → PrimeSpectrum (Γ.obj (op X)) := fun x => comap (X.ΓToStalk x) (LocalRing.closedPoint (X.presheaf.stalk x)) #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_fun AlgebraicGeometry.LocallyRingedSpace.toΓSpecFun theorem not_mem_prime_iff_unit_in_stalk (r : Γ.obj (op X)) (x : X) : r ∉ (X.toΓSpecFun x).asIdeal ↔ IsUnit (X.ΓToStalk x r) := by erw [LocalRing.mem_maximalIdeal, Classical.not_not] #align algebraic_geometry.LocallyRingedSpace.not_mem_prime_iff_unit_in_stalk AlgebraicGeometry.LocallyRingedSpace.not_mem_prime_iff_unit_in_stalk theorem toΓSpec_preim_basicOpen_eq (r : Γ.obj (op X)) : X.toΓSpecFun ⁻¹' (basicOpen r).1 = (X.toRingedSpace.basicOpen r).1 := by ext erw [X.toRingedSpace.mem_top_basicOpen]; apply not_mem_prime_iff_unit_in_stalk #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_preim_basic_open_eq AlgebraicGeometry.LocallyRingedSpace.toΓSpec_preim_basicOpen_eq theorem toΓSpec_continuous : Continuous X.toΓSpecFun := by rw [isTopologicalBasis_basic_opens.continuous_iff] rintro _ ⟨r, rfl⟩ erw [X.toΓSpec_preim_basicOpen_eq r] exact (X.toRingedSpace.basicOpen r).2 #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_continuous AlgebraicGeometry.LocallyRingedSpace.toΓSpec_continuous @[simps] def toΓSpecBase : X.toTopCat ⟶ Spec.topObj (Γ.obj (op X)) where toFun := X.toΓSpecFun continuous_toFun := X.toΓSpec_continuous #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_base AlgebraicGeometry.LocallyRingedSpace.toΓSpecBase -- These lemmas have always been bad (#7657), but lean4#2644 made `simp` start noticing attribute [nolint simpNF] AlgebraicGeometry.LocallyRingedSpace.toΓSpecBase_apply variable (r : Γ.obj (op X)) abbrev toΓSpecMapBasicOpen : Opens X := (Opens.map X.toΓSpecBase).obj (basicOpen r) #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_map_basic_open AlgebraicGeometry.LocallyRingedSpace.toΓSpecMapBasicOpen theorem toΓSpecMapBasicOpen_eq : X.toΓSpecMapBasicOpen r = X.toRingedSpace.basicOpen r := Opens.ext (X.toΓSpec_preim_basicOpen_eq r) #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_map_basic_open_eq AlgebraicGeometry.LocallyRingedSpace.toΓSpecMapBasicOpen_eq abbrev toToΓSpecMapBasicOpen : X.presheaf.obj (op ⊤) ⟶ X.presheaf.obj (op <| X.toΓSpecMapBasicOpen r) := X.presheaf.map (X.toΓSpecMapBasicOpen r).leTop.op #align algebraic_geometry.LocallyRingedSpace.to_to_Γ_Spec_map_basic_open AlgebraicGeometry.LocallyRingedSpace.toToΓSpecMapBasicOpen theorem isUnit_res_toΓSpecMapBasicOpen : IsUnit (X.toToΓSpecMapBasicOpen r r) := by convert (X.presheaf.map <| (eqToHom <| X.toΓSpecMapBasicOpen_eq r).op).isUnit_map (X.toRingedSpace.isUnit_res_basicOpen r) -- Porting note: `rw [comp_apply]` to `erw [comp_apply]` erw [← comp_apply, ← Functor.map_comp] congr #align algebraic_geometry.LocallyRingedSpace.is_unit_res_to_Γ_Spec_map_basic_open AlgebraicGeometry.LocallyRingedSpace.isUnit_res_toΓSpecMapBasicOpen def toΓSpecCApp : (structureSheaf <| Γ.obj <| op X).val.obj (op <| basicOpen r) ⟶ X.presheaf.obj (op <| X.toΓSpecMapBasicOpen r) := IsLocalization.Away.lift r (isUnit_res_toΓSpecMapBasicOpen _ r) #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_c_app AlgebraicGeometry.LocallyRingedSpace.toΓSpecCApp theorem toΓSpecCApp_iff (f : (structureSheaf <| Γ.obj <| op X).val.obj (op <| basicOpen r) ⟶ X.presheaf.obj (op <| X.toΓSpecMapBasicOpen r)) : toOpen _ (basicOpen r) ≫ f = X.toToΓSpecMapBasicOpen r ↔ f = X.toΓSpecCApp r := by -- Porting Note: Type class problem got stuck in `IsLocalization.Away.AwayMap.lift_comp` -- created instance manually. This replaces the `pick_goal` tactics have loc_inst := IsLocalization.to_basicOpen (Γ.obj (op X)) r rw [← @IsLocalization.Away.AwayMap.lift_comp _ _ _ _ _ _ _ r loc_inst _ (X.isUnit_res_toΓSpecMapBasicOpen r)] --pick_goal 5; exact is_localization.to_basic_open _ r constructor · intro h exact IsLocalization.ringHom_ext (Submonoid.powers r) h apply congr_arg #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_c_app_iff AlgebraicGeometry.LocallyRingedSpace.toΓSpecCApp_iff theorem toΓSpecCApp_spec : toOpen _ (basicOpen r) ≫ X.toΓSpecCApp r = X.toToΓSpecMapBasicOpen r := (X.toΓSpecCApp_iff r _).2 rfl #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_c_app_spec AlgebraicGeometry.LocallyRingedSpace.toΓSpecCApp_spec @[simps app] def toΓSpecCBasicOpens : (inducedFunctor basicOpen).op ⋙ (structureSheaf (Γ.obj (op X))).1 ⟶ (inducedFunctor basicOpen).op ⋙ ((TopCat.Sheaf.pushforward _ X.toΓSpecBase).obj X.𝒪).1 where app r := X.toΓSpecCApp r.unop naturality r s f := by apply (StructureSheaf.to_basicOpen_epi (Γ.obj (op X)) r.unop).1 simp only [← Category.assoc] erw [X.toΓSpecCApp_spec r.unop] convert X.toΓSpecCApp_spec s.unop symm apply X.presheaf.map_comp #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_c_basic_opens AlgebraicGeometry.LocallyRingedSpace.toΓSpecCBasicOpens @[simps] def toΓSpecSheafedSpace : X.toSheafedSpace ⟶ Spec.toSheafedSpace.obj (op (Γ.obj (op X))) where base := X.toΓSpecBase c := TopCat.Sheaf.restrictHomEquivHom (structureSheaf (Γ.obj (op X))).1 _ isBasis_basic_opens X.toΓSpecCBasicOpens #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_SheafedSpace AlgebraicGeometry.LocallyRingedSpace.toΓSpecSheafedSpace -- Porting Note: Now need much more hand holding: all variables explicit, and need to tidy up -- significantly, was `TopCat.Sheaf.extend_hom_app _ _ _ _` theorem toΓSpecSheafedSpace_app_eq : X.toΓSpecSheafedSpace.c.app (op (basicOpen r)) = X.toΓSpecCApp r := by have := TopCat.Sheaf.extend_hom_app (Spec.toSheafedSpace.obj (op (Γ.obj (op X)))).presheaf ((TopCat.Sheaf.pushforward _ X.toΓSpecBase).obj X.𝒪) isBasis_basic_opens X.toΓSpecCBasicOpens r dsimp at this rw [← this] dsimp #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_SheafedSpace_app_eq AlgebraicGeometry.LocallyRingedSpace.toΓSpecSheafedSpace_app_eq -- Porting note: need a helper lemma `toΓSpecSheafedSpace_app_spec_assoc` to help compile -- `toStalk_stalkMap_to_Γ_Spec` @[reassoc] theorem toΓSpecSheafedSpace_app_spec (r : Γ.obj (op X)) : toOpen (Γ.obj (op X)) (basicOpen r) ≫ X.toΓSpecSheafedSpace.c.app (op (basicOpen r)) = X.toToΓSpecMapBasicOpen r := (X.toΓSpecSheafedSpace_app_eq r).symm ▸ X.toΓSpecCApp_spec r #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec_SheafedSpace_app_spec AlgebraicGeometry.LocallyRingedSpace.toΓSpecSheafedSpace_app_spec theorem toStalk_stalkMap_toΓSpec (x : X) : toStalk _ _ ≫ PresheafedSpace.stalkMap X.toΓSpecSheafedSpace x = X.ΓToStalk x := by rw [PresheafedSpace.stalkMap] erw [← toOpen_germ _ (basicOpen (1 : Γ.obj (op X))) ⟨X.toΓSpecFun x, by rw [basicOpen_one]; trivial⟩] rw [← Category.assoc, Category.assoc (toOpen _ _)] erw [stalkFunctor_map_germ] rw [← Category.assoc, toΓSpecSheafedSpace_app_spec] unfold ΓToStalk rw [← stalkPushforward_germ _ X.toΓSpecBase X.presheaf ⊤] congr 1 change (X.toΓSpecBase _* X.presheaf).map le_top.hom.op ≫ _ = _ apply germ_res #align algebraic_geometry.LocallyRingedSpace.to_stalk_stalk_map_to_Γ_Spec AlgebraicGeometry.LocallyRingedSpace.toStalk_stalkMap_toΓSpec @[simps! val_base] def toΓSpec : X ⟶ Spec.locallyRingedSpaceObj (Γ.obj (op X)) where val := X.toΓSpecSheafedSpace prop := by intro x let p : PrimeSpectrum (Γ.obj (op X)) := X.toΓSpecFun x constructor -- show stalk map is local hom ↓ let S := (structureSheaf _).presheaf.stalk p rintro (t : S) ht obtain ⟨⟨r, s⟩, he⟩ := IsLocalization.surj p.asIdeal.primeCompl t dsimp at he set t' := _ change t * t' = _ at he apply isUnit_of_mul_isUnit_left (y := t') rw [he] refine IsLocalization.map_units S (⟨r, ?_⟩ : p.asIdeal.primeCompl) apply (not_mem_prime_iff_unit_in_stalk _ _ _).mpr rw [← toStalk_stalkMap_toΓSpec] erw [comp_apply, ← he] rw [RingHom.map_mul] -- Porting note: `IsLocalization.map_units` and the goal needs to be simplified before Lean -- realize it is useful have := IsLocalization.map_units (R := Γ.obj (op X)) S s dsimp at this ⊢ exact ht.mul <| this.map _ #align algebraic_geometry.LocallyRingedSpace.to_Γ_Spec AlgebraicGeometry.LocallyRingedSpace.toΓSpec
Mathlib/AlgebraicGeometry/GammaSpecAdjunction.lean
258
274
theorem comp_ring_hom_ext {X : LocallyRingedSpace.{u}} {R : CommRingCat.{u}} {f : R ⟶ Γ.obj (op X)} {β : X ⟶ Spec.locallyRingedSpaceObj R} (w : X.toΓSpec.1.base ≫ (Spec.locallyRingedSpaceMap f).1.base = β.1.base) (h : ∀ r : R, f ≫ X.presheaf.map (homOfLE le_top : (Opens.map β.1.base).obj (basicOpen r) ⟶ _).op = toOpen R (basicOpen r) ≫ β.1.c.app (op (basicOpen r))) : X.toΓSpec ≫ Spec.locallyRingedSpaceMap f = β := by
ext1 -- Porting note: was `apply Spec.basicOpen_hom_ext` refine Spec.basicOpen_hom_ext w ?_ intro r U rw [LocallyRingedSpace.comp_val_c_app] erw [toOpen_comp_comap_assoc] rw [Category.assoc] erw [toΓSpecSheafedSpace_app_spec, ← X.presheaf.map_comp] exact h r
import Mathlib.MeasureTheory.Measure.FiniteMeasure import Mathlib.MeasureTheory.Integral.Average #align_import measure_theory.measure.probability_measure from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open MeasureTheory open Set open Filter open BoundedContinuousFunction open scoped Topology ENNReal NNReal BoundedContinuousFunction namespace MeasureTheory section ProbabilityMeasure def ProbabilityMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ := { μ : Measure Ω // IsProbabilityMeasure μ } #align measure_theory.probability_measure MeasureTheory.ProbabilityMeasure namespace ProbabilityMeasure variable {Ω : Type*} [MeasurableSpace Ω] instance [Inhabited Ω] : Inhabited (ProbabilityMeasure Ω) := ⟨⟨Measure.dirac default, Measure.dirac.isProbabilityMeasure⟩⟩ -- Porting note: as with other subtype synonyms (e.g., `ℝ≥0`), we need a new function for the -- coercion instead of relying on `Subtype.val`. @[coe] def toMeasure : ProbabilityMeasure Ω → Measure Ω := Subtype.val instance : Coe (ProbabilityMeasure Ω) (MeasureTheory.Measure Ω) where coe := toMeasure instance (μ : ProbabilityMeasure Ω) : IsProbabilityMeasure (μ : Measure Ω) := μ.prop @[simp, norm_cast] lemma coe_mk (μ : Measure Ω) (hμ) : toMeasure ⟨μ, hμ⟩ = μ := rfl @[simp] theorem val_eq_to_measure (ν : ProbabilityMeasure Ω) : ν.val = (ν : Measure Ω) := rfl #align measure_theory.probability_measure.val_eq_to_measure MeasureTheory.ProbabilityMeasure.val_eq_to_measure theorem toMeasure_injective : Function.Injective ((↑) : ProbabilityMeasure Ω → Measure Ω) := Subtype.coe_injective #align measure_theory.probability_measure.coe_injective MeasureTheory.ProbabilityMeasure.toMeasure_injective instance instFunLike : FunLike (ProbabilityMeasure Ω) (Set Ω) ℝ≥0 where coe μ s := ((μ : Measure Ω) s).toNNReal coe_injective' μ ν h := toMeasure_injective $ Measure.ext fun s _ ↦ by simpa [ENNReal.toNNReal_eq_toNNReal_iff, measure_ne_top] using congr_fun h s lemma coeFn_def (μ : ProbabilityMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl #align measure_theory.probability_measure.coe_fn_eq_to_nnreal_coe_fn_to_measure MeasureTheory.ProbabilityMeasure.coeFn_def lemma coeFn_mk (μ : Measure Ω) (hμ) : DFunLike.coe (F := ProbabilityMeasure Ω) ⟨μ, hμ⟩ = fun s ↦ (μ s).toNNReal := rfl @[simp, norm_cast] lemma mk_apply (μ : Measure Ω) (hμ) (s : Set Ω) : DFunLike.coe (F := ProbabilityMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl @[simp, norm_cast] theorem coeFn_univ (ν : ProbabilityMeasure Ω) : ν univ = 1 := congr_arg ENNReal.toNNReal ν.prop.measure_univ #align measure_theory.probability_measure.coe_fn_univ MeasureTheory.ProbabilityMeasure.coeFn_univ theorem coeFn_univ_ne_zero (ν : ProbabilityMeasure Ω) : ν univ ≠ 0 := by simp only [coeFn_univ, Ne, one_ne_zero, not_false_iff] #align measure_theory.probability_measure.coe_fn_univ_ne_zero MeasureTheory.ProbabilityMeasure.coeFn_univ_ne_zero def toFiniteMeasure (μ : ProbabilityMeasure Ω) : FiniteMeasure Ω := ⟨μ, inferInstance⟩ #align measure_theory.probability_measure.to_finite_measure MeasureTheory.ProbabilityMeasure.toFiniteMeasure @[simp] lemma coeFn_toFiniteMeasure (μ : ProbabilityMeasure Ω) : ⇑μ.toFiniteMeasure = μ := rfl lemma toFiniteMeasure_apply (μ : ProbabilityMeasure Ω) (s : Set Ω) : μ.toFiniteMeasure s = μ s := rfl @[simp] theorem toMeasure_comp_toFiniteMeasure_eq_toMeasure (ν : ProbabilityMeasure Ω) : (ν.toFiniteMeasure : Measure Ω) = (ν : Measure Ω) := rfl #align measure_theory.probability_measure.coe_comp_to_finite_measure_eq_coe MeasureTheory.ProbabilityMeasure.toMeasure_comp_toFiniteMeasure_eq_toMeasure @[simp] theorem coeFn_comp_toFiniteMeasure_eq_coeFn (ν : ProbabilityMeasure Ω) : (ν.toFiniteMeasure : Set Ω → ℝ≥0) = (ν : Set Ω → ℝ≥0) := rfl #align measure_theory.probability_measure.coe_fn_comp_to_finite_measure_eq_coe_fn MeasureTheory.ProbabilityMeasure.coeFn_comp_toFiniteMeasure_eq_coeFn @[simp] theorem toFiniteMeasure_apply_eq_apply (ν : ProbabilityMeasure Ω) (s : Set Ω) : ν.toFiniteMeasure s = ν s := rfl @[simp] theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : ProbabilityMeasure Ω) (s : Set Ω) : (ν s : ℝ≥0∞) = (ν : Measure Ω) s := by rw [← coeFn_comp_toFiniteMeasure_eq_coeFn, FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure, toMeasure_comp_toFiniteMeasure_eq_toMeasure] #align measure_theory.probability_measure.ennreal_coe_fn_eq_coe_fn_to_measure MeasureTheory.ProbabilityMeasure.ennreal_coeFn_eq_coeFn_toMeasure theorem apply_mono (μ : ProbabilityMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ := by rw [← coeFn_comp_toFiniteMeasure_eq_coeFn] exact MeasureTheory.FiniteMeasure.apply_mono _ h #align measure_theory.probability_measure.apply_mono MeasureTheory.ProbabilityMeasure.apply_mono @[simp] theorem apply_le_one (μ : ProbabilityMeasure Ω) (s : Set Ω) : μ s ≤ 1 := by simpa using apply_mono μ (subset_univ s)
Mathlib/MeasureTheory/Measure/ProbabilityMeasure.lean
207
212
theorem nonempty (μ : ProbabilityMeasure Ω) : Nonempty Ω := by
by_contra maybe_empty have zero : (μ : Measure Ω) univ = 0 := by rw [univ_eq_empty_iff.mpr (not_nonempty_iff.mp maybe_empty), measure_empty] rw [measure_univ] at zero exact zero_ne_one zero.symm
import Mathlib.CategoryTheory.Comma.Over import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Yoneda import Mathlib.Data.Set.Lattice import Mathlib.Order.CompleteLattice #align_import category_theory.sites.sieves from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a" universe v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory open Category Limits variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D) variable {X Y Z : C} (f : Y ⟶ X) def Presieve (X : C) := ∀ ⦃Y⦄, Set (Y ⟶ X)-- deriving CompleteLattice #align category_theory.presieve CategoryTheory.Presieve instance : CompleteLattice (Presieve X) := by dsimp [Presieve] infer_instance namespace Presieve noncomputable instance : Inhabited (Presieve X) := ⟨⊤⟩ abbrev category {X : C} (P : Presieve X) := FullSubcategory fun f : Over X => P f.hom abbrev categoryMk {X : C} (P : Presieve X) {Y : C} (f : Y ⟶ X) (hf : P f) : P.category := ⟨Over.mk f, hf⟩ abbrev diagram (S : Presieve X) : S.category ⥤ C := fullSubcategoryInclusion _ ⋙ Over.forget X #align category_theory.presieve.diagram CategoryTheory.Presieve.diagram abbrev cocone (S : Presieve X) : Cocone S.diagram := (Over.forgetCocone X).whisker (fullSubcategoryInclusion _) #align category_theory.presieve.cocone CategoryTheory.Presieve.cocone def bind (S : Presieve X) (R : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y) : Presieve X := fun Z h => ∃ (Y : C) (g : Z ⟶ Y) (f : Y ⟶ X) (H : S f), R H g ∧ g ≫ f = h #align category_theory.presieve.bind CategoryTheory.Presieve.bind @[simp] theorem bind_comp {S : Presieve X} {R : ∀ ⦃Y : C⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y} {g : Z ⟶ Y} (h₁ : S f) (h₂ : R h₁ g) : bind S R (g ≫ f) := ⟨_, _, _, h₁, h₂, rfl⟩ #align category_theory.presieve.bind_comp CategoryTheory.Presieve.bind_comp -- Porting note: it seems the definition of `Presieve` must be unfolded in order to define -- this inductive type, it was thus renamed `singleton'` -- Note we can't make this into `HasSingleton` because of the out-param. inductive singleton' : ⦃Y : C⦄ → (Y ⟶ X) → Prop | mk : singleton' f def singleton : Presieve X := singleton' f lemma singleton.mk {f : Y ⟶ X} : singleton f f := singleton'.mk #align category_theory.presieve.singleton CategoryTheory.Presieve.singleton @[simp] theorem singleton_eq_iff_domain (f g : Y ⟶ X) : singleton f g ↔ f = g := by constructor · rintro ⟨a, rfl⟩ rfl · rintro rfl apply singleton.mk #align category_theory.presieve.singleton_eq_iff_domain CategoryTheory.Presieve.singleton_eq_iff_domain theorem singleton_self : singleton f f := singleton.mk #align category_theory.presieve.singleton_self CategoryTheory.Presieve.singleton_self inductive pullbackArrows [HasPullbacks C] (R : Presieve X) : Presieve Y | mk (Z : C) (h : Z ⟶ X) : R h → pullbackArrows _ (pullback.snd : pullback h f ⟶ Y) #align category_theory.presieve.pullback_arrows CategoryTheory.Presieve.pullbackArrows theorem pullback_singleton [HasPullbacks C] (g : Z ⟶ X) : pullbackArrows f (singleton g) = singleton (pullback.snd : pullback g f ⟶ _) := by funext W ext h constructor · rintro ⟨W, _, _, _⟩ exact singleton.mk · rintro ⟨_⟩ exact pullbackArrows.mk Z g singleton.mk #align category_theory.presieve.pullback_singleton CategoryTheory.Presieve.pullback_singleton inductive ofArrows {ι : Type*} (Y : ι → C) (f : ∀ i, Y i ⟶ X) : Presieve X | mk (i : ι) : ofArrows _ _ (f i) #align category_theory.presieve.of_arrows CategoryTheory.Presieve.ofArrows theorem ofArrows_pUnit : (ofArrows _ fun _ : PUnit => f) = singleton f := by funext Y ext g constructor · rintro ⟨_⟩ apply singleton.mk · rintro ⟨_⟩ exact ofArrows.mk PUnit.unit #align category_theory.presieve.of_arrows_punit CategoryTheory.Presieve.ofArrows_pUnit
Mathlib/CategoryTheory/Sites/Sieves.lean
151
161
theorem ofArrows_pullback [HasPullbacks C] {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X) : (ofArrows (fun i => pullback (g i) f) fun i => pullback.snd) = pullbackArrows f (ofArrows Z g) := by
funext T ext h constructor · rintro ⟨hk⟩ exact pullbackArrows.mk _ _ (ofArrows.mk hk) · rintro ⟨W, k, hk₁⟩ cases' hk₁ with i hi apply ofArrows.mk
import Mathlib.ModelTheory.Substructures #align_import model_theory.finitely_generated from "leanprover-community/mathlib"@"0602c59878ff3d5f71dea69c2d32ccf2e93e5398" open FirstOrder Set namespace FirstOrder namespace Language open Structure variable {L : Language} {M : Type*} [L.Structure M] namespace Substructure def FG (N : L.Substructure M) : Prop := ∃ S : Finset M, closure L S = N #align first_order.language.substructure.fg FirstOrder.Language.Substructure.FG theorem fg_def {N : L.Substructure M} : N.FG ↔ ∃ S : Set M, S.Finite ∧ closure L S = N := ⟨fun ⟨t, h⟩ => ⟨_, Finset.finite_toSet t, h⟩, by rintro ⟨t', h, rfl⟩ rcases Finite.exists_finset_coe h with ⟨t, rfl⟩ exact ⟨t, rfl⟩⟩ #align first_order.language.substructure.fg_def FirstOrder.Language.Substructure.fg_def
Mathlib/ModelTheory/FinitelyGenerated.lean
52
60
theorem fg_iff_exists_fin_generating_family {N : L.Substructure M} : N.FG ↔ ∃ (n : ℕ) (s : Fin n → M), closure L (range s) = N := by
rw [fg_def] constructor · rintro ⟨S, Sfin, hS⟩ obtain ⟨n, f, rfl⟩ := Sfin.fin_embedding exact ⟨n, f, hS⟩ · rintro ⟨n, s, hs⟩ exact ⟨range s, finite_range s, hs⟩
import Mathlib.Algebra.Homology.Linear import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex import Mathlib.Tactic.Abel #align_import algebra.homology.homotopy from "leanprover-community/mathlib"@"618ea3d5c99240cd7000d8376924906a148bf9ff" universe v u open scoped Classical noncomputable section open CategoryTheory Category Limits HomologicalComplex variable {ι : Type*} variable {V : Type u} [Category.{v} V] [Preadditive V] variable {c : ComplexShape ι} {C D E : HomologicalComplex V c} variable (f g : C ⟶ D) (h k : D ⟶ E) (i : ι) section def dNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X i ⟶ D.X i) := AddMonoidHom.mk' (fun f => C.d i (c.next i) ≫ f (c.next i) i) fun _ _ => Preadditive.comp_add _ _ _ _ _ _ #align d_next dNext def fromNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.xNext i ⟶ D.X i) := AddMonoidHom.mk' (fun f => f (c.next i) i) fun _ _ => rfl #align from_next fromNext @[simp] theorem dNext_eq_dFrom_fromNext (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) : dNext i f = C.dFrom i ≫ fromNext i f := rfl #align d_next_eq_d_from_from_next dNext_eq_dFrom_fromNext theorem dNext_eq (f : ∀ i j, C.X i ⟶ D.X j) {i i' : ι} (w : c.Rel i i') : dNext i f = C.d i i' ≫ f i' i := by obtain rfl := c.next_eq' w rfl #align d_next_eq dNext_eq lemma dNext_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel i (c.next i)) : dNext i f = 0 := by dsimp [dNext] rw [shape _ _ _ hi, zero_comp] @[simp 1100] theorem dNext_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (i : ι) : (dNext i fun i j => f.f i ≫ g i j) = f.f i ≫ dNext i g := (f.comm_assoc _ _ _).symm #align d_next_comp_left dNext_comp_left @[simp 1100] theorem dNext_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (i : ι) : (dNext i fun i j => f i j ≫ g.f j) = dNext i f ≫ g.f i := (assoc _ _ _).symm #align d_next_comp_right dNext_comp_right def prevD (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.X j) := AddMonoidHom.mk' (fun f => f j (c.prev j) ≫ D.d (c.prev j) j) fun _ _ => Preadditive.add_comp _ _ _ _ _ _ #align prev_d prevD lemma prevD_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel (c.prev i) i) : prevD i f = 0 := by dsimp [prevD] rw [shape _ _ _ hi, comp_zero] def toPrev (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.xPrev j) := AddMonoidHom.mk' (fun f => f j (c.prev j)) fun _ _ => rfl #align to_prev toPrev @[simp] theorem prevD_eq_toPrev_dTo (f : ∀ i j, C.X i ⟶ D.X j) (j : ι) : prevD j f = toPrev j f ≫ D.dTo j := rfl #align prev_d_eq_to_prev_d_to prevD_eq_toPrev_dTo theorem prevD_eq (f : ∀ i j, C.X i ⟶ D.X j) {j j' : ι} (w : c.Rel j' j) : prevD j f = f j j' ≫ D.d j' j := by obtain rfl := c.prev_eq' w rfl #align prev_d_eq prevD_eq @[simp 1100] theorem prevD_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (j : ι) : (prevD j fun i j => f.f i ≫ g i j) = f.f j ≫ prevD j g := assoc _ _ _ #align prev_d_comp_left prevD_comp_left @[simp 1100] theorem prevD_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (j : ι) : (prevD j fun i j => f i j ≫ g.f j) = prevD j f ≫ g.f j := by dsimp [prevD] simp only [assoc, g.comm] #align prev_d_comp_right prevD_comp_right theorem dNext_nat (C D : ChainComplex V ℕ) (i : ℕ) (f : ∀ i j, C.X i ⟶ D.X j) : dNext i f = C.d i (i - 1) ≫ f (i - 1) i := by dsimp [dNext] cases i · simp only [shape, ChainComplex.next_nat_zero, ComplexShape.down_Rel, Nat.one_ne_zero, not_false_iff, zero_comp] · congr <;> simp #align d_next_nat dNext_nat theorem prevD_nat (C D : CochainComplex V ℕ) (i : ℕ) (f : ∀ i j, C.X i ⟶ D.X j) : prevD i f = f i (i - 1) ≫ D.d (i - 1) i := by dsimp [prevD] cases i · simp only [shape, CochainComplex.prev_nat_zero, ComplexShape.up_Rel, Nat.one_ne_zero, not_false_iff, comp_zero] · congr <;> simp #align prev_d_nat prevD_nat -- Porting note(#5171): removed @[has_nonempty_instance] @[ext] structure Homotopy (f g : C ⟶ D) where hom : ∀ i j, C.X i ⟶ D.X j zero : ∀ i j, ¬c.Rel j i → hom i j = 0 := by aesop_cat comm : ∀ i, f.f i = dNext i hom + prevD i hom + g.f i := by aesop_cat #align homotopy Homotopy variable {f g} namespace Homotopy def equivSubZero : Homotopy f g ≃ Homotopy (f - g) 0 where toFun h := { hom := fun i j => h.hom i j zero := fun i j w => h.zero _ _ w comm := fun i => by simp [h.comm] } invFun h := { hom := fun i j => h.hom i j zero := fun i j w => h.zero _ _ w comm := fun i => by simpa [sub_eq_iff_eq_add] using h.comm i } left_inv := by aesop_cat right_inv := by aesop_cat #align homotopy.equiv_sub_zero Homotopy.equivSubZero @[simps] def ofEq (h : f = g) : Homotopy f g where hom := 0 zero _ _ _ := rfl #align homotopy.of_eq Homotopy.ofEq @[simps!, refl] def refl (f : C ⟶ D) : Homotopy f f := ofEq (rfl : f = f) #align homotopy.refl Homotopy.refl @[simps!, symm] def symm {f g : C ⟶ D} (h : Homotopy f g) : Homotopy g f where hom := -h.hom zero i j w := by rw [Pi.neg_apply, Pi.neg_apply, h.zero i j w, neg_zero] comm i := by rw [AddMonoidHom.map_neg, AddMonoidHom.map_neg, h.comm, ← neg_add, ← add_assoc, neg_add_self, zero_add] #align homotopy.symm Homotopy.symm @[simps!, trans] def trans {e f g : C ⟶ D} (h : Homotopy e f) (k : Homotopy f g) : Homotopy e g where hom := h.hom + k.hom zero i j w := by rw [Pi.add_apply, Pi.add_apply, h.zero i j w, k.zero i j w, zero_add] comm i := by rw [AddMonoidHom.map_add, AddMonoidHom.map_add, h.comm, k.comm] abel #align homotopy.trans Homotopy.trans @[simps!] def add {f₁ g₁ f₂ g₂ : C ⟶ D} (h₁ : Homotopy f₁ g₁) (h₂ : Homotopy f₂ g₂) : Homotopy (f₁ + f₂) (g₁ + g₂) where hom := h₁.hom + h₂.hom zero i j hij := by rw [Pi.add_apply, Pi.add_apply, h₁.zero i j hij, h₂.zero i j hij, add_zero] comm i := by simp only [HomologicalComplex.add_f_apply, h₁.comm, h₂.comm, AddMonoidHom.map_add] abel #align homotopy.add Homotopy.add @[simps!] def smul {R : Type*} [Semiring R] [Linear R V] (h : Homotopy f g) (a : R) : Homotopy (a • f) (a • g) where hom i j := a • h.hom i j zero i j hij := by dsimp rw [h.zero i j hij, smul_zero] comm i := by dsimp rw [h.comm] dsimp [fromNext, toPrev] simp only [smul_add, Linear.comp_smul, Linear.smul_comp] @[simps] def compRight {e f : C ⟶ D} (h : Homotopy e f) (g : D ⟶ E) : Homotopy (e ≫ g) (f ≫ g) where hom i j := h.hom i j ≫ g.f j zero i j w := by dsimp; rw [h.zero i j w, zero_comp] comm i := by rw [comp_f, h.comm i, dNext_comp_right, prevD_comp_right, Preadditive.add_comp, comp_f, Preadditive.add_comp] #align homotopy.comp_right Homotopy.compRight @[simps] def compLeft {f g : D ⟶ E} (h : Homotopy f g) (e : C ⟶ D) : Homotopy (e ≫ f) (e ≫ g) where hom i j := e.f i ≫ h.hom i j zero i j w := by dsimp; rw [h.zero i j w, comp_zero] comm i := by rw [comp_f, h.comm i, dNext_comp_left, prevD_comp_left, comp_f, Preadditive.comp_add, Preadditive.comp_add] #align homotopy.comp_left Homotopy.compLeft @[simps!] def comp {C₁ C₂ C₃ : HomologicalComplex V c} {f₁ g₁ : C₁ ⟶ C₂} {f₂ g₂ : C₂ ⟶ C₃} (h₁ : Homotopy f₁ g₁) (h₂ : Homotopy f₂ g₂) : Homotopy (f₁ ≫ f₂) (g₁ ≫ g₂) := (h₁.compRight _).trans (h₂.compLeft _) #align homotopy.comp Homotopy.comp @[simps!] def compRightId {f : C ⟶ C} (h : Homotopy f (𝟙 C)) (g : C ⟶ D) : Homotopy (f ≫ g) g := (h.compRight g).trans (ofEq <| id_comp _) #align homotopy.comp_right_id Homotopy.compRightId @[simps!] def compLeftId {f : D ⟶ D} (h : Homotopy f (𝟙 D)) (g : C ⟶ D) : Homotopy (g ≫ f) g := (h.compLeft g).trans (ofEq <| comp_id _) #align homotopy.comp_left_id Homotopy.compLeftId def nullHomotopicMap (hom : ∀ i j, C.X i ⟶ D.X j) : C ⟶ D where f i := dNext i hom + prevD i hom comm' i j hij := by have eq1 : prevD i hom ≫ D.d i j = 0 := by simp only [prevD, AddMonoidHom.mk'_apply, assoc, d_comp_d, comp_zero] have eq2 : C.d i j ≫ dNext j hom = 0 := by simp only [dNext, AddMonoidHom.mk'_apply, d_comp_d_assoc, zero_comp] dsimp only rw [dNext_eq hom hij, prevD_eq hom hij, Preadditive.comp_add, Preadditive.add_comp, eq1, eq2, add_zero, zero_add, assoc] #align homotopy.null_homotopic_map Homotopy.nullHomotopicMap def nullHomotopicMap' (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : C ⟶ D := nullHomotopicMap fun i j => dite (c.Rel j i) (h i j) fun _ => 0 #align homotopy.null_homotopic_map' Homotopy.nullHomotopicMap' theorem nullHomotopicMap_comp (hom : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) : nullHomotopicMap hom ≫ g = nullHomotopicMap fun i j => hom i j ≫ g.f j := by ext n dsimp [nullHomotopicMap, fromNext, toPrev, AddMonoidHom.mk'_apply] simp only [Preadditive.add_comp, assoc, g.comm] #align homotopy.null_homotopic_map_comp Homotopy.nullHomotopicMap_comp theorem nullHomotopicMap'_comp (hom : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) (g : D ⟶ E) : nullHomotopicMap' hom ≫ g = nullHomotopicMap' fun i j hij => hom i j hij ≫ g.f j := by ext n erw [nullHomotopicMap_comp] congr ext i j split_ifs · rfl · rw [zero_comp] #align homotopy.null_homotopic_map'_comp Homotopy.nullHomotopicMap'_comp theorem comp_nullHomotopicMap (f : C ⟶ D) (hom : ∀ i j, D.X i ⟶ E.X j) : f ≫ nullHomotopicMap hom = nullHomotopicMap fun i j => f.f i ≫ hom i j := by ext n dsimp [nullHomotopicMap, fromNext, toPrev, AddMonoidHom.mk'_apply] simp only [Preadditive.comp_add, assoc, f.comm_assoc] #align homotopy.comp_null_homotopic_map Homotopy.comp_nullHomotopicMap theorem comp_nullHomotopicMap' (f : C ⟶ D) (hom : ∀ i j, c.Rel j i → (D.X i ⟶ E.X j)) : f ≫ nullHomotopicMap' hom = nullHomotopicMap' fun i j hij => f.f i ≫ hom i j hij := by ext n erw [comp_nullHomotopicMap] congr ext i j split_ifs · rfl · rw [comp_zero] #align homotopy.comp_null_homotopic_map' Homotopy.comp_nullHomotopicMap' theorem map_nullHomotopicMap {W : Type*} [Category W] [Preadditive W] (G : V ⥤ W) [G.Additive] (hom : ∀ i j, C.X i ⟶ D.X j) : (G.mapHomologicalComplex c).map (nullHomotopicMap hom) = nullHomotopicMap (fun i j => by exact G.map (hom i j)) := by ext i dsimp [nullHomotopicMap, dNext, prevD] simp only [G.map_comp, Functor.map_add] #align homotopy.map_null_homotopic_map Homotopy.map_nullHomotopicMap theorem map_nullHomotopicMap' {W : Type*} [Category W] [Preadditive W] (G : V ⥤ W) [G.Additive] (hom : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : (G.mapHomologicalComplex c).map (nullHomotopicMap' hom) = nullHomotopicMap' fun i j hij => by exact G.map (hom i j hij) := by ext n erw [map_nullHomotopicMap] congr ext i j split_ifs · rfl · rw [G.map_zero] #align homotopy.map_null_homotopic_map' Homotopy.map_nullHomotopicMap' @[simps] def nullHomotopy (hom : ∀ i j, C.X i ⟶ D.X j) (zero : ∀ i j, ¬c.Rel j i → hom i j = 0) : Homotopy (nullHomotopicMap hom) 0 := { hom := hom zero := zero comm := by intro i rw [HomologicalComplex.zero_f_apply, add_zero] rfl } #align homotopy.null_homotopy Homotopy.nullHomotopy @[simps!] def nullHomotopy' (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : Homotopy (nullHomotopicMap' h) 0 := by apply nullHomotopy fun i j => dite (c.Rel j i) (h i j) fun _ => 0 intro i j hij rw [dite_eq_right_iff] intro hij' exfalso exact hij hij' #align homotopy.null_homotopy' Homotopy.nullHomotopy' @[simp] theorem nullHomotopicMap_f {k₂ k₁ k₀ : ι} (r₂₁ : c.Rel k₂ k₁) (r₁₀ : c.Rel k₁ k₀) (hom : ∀ i j, C.X i ⟶ D.X j) : (nullHomotopicMap hom).f k₁ = C.d k₁ k₀ ≫ hom k₀ k₁ + hom k₁ k₂ ≫ D.d k₂ k₁ := by dsimp only [nullHomotopicMap] rw [dNext_eq hom r₁₀, prevD_eq hom r₂₁] #align homotopy.null_homotopic_map_f Homotopy.nullHomotopicMap_f @[simp] theorem nullHomotopicMap'_f {k₂ k₁ k₀ : ι} (r₂₁ : c.Rel k₂ k₁) (r₁₀ : c.Rel k₁ k₀) (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : (nullHomotopicMap' h).f k₁ = C.d k₁ k₀ ≫ h k₀ k₁ r₁₀ + h k₁ k₂ r₂₁ ≫ D.d k₂ k₁ := by simp only [nullHomotopicMap'] rw [nullHomotopicMap_f r₂₁ r₁₀] split_ifs rfl #align homotopy.null_homotopic_map'_f Homotopy.nullHomotopicMap'_f @[simp] theorem nullHomotopicMap_f_of_not_rel_left {k₁ k₀ : ι} (r₁₀ : c.Rel k₁ k₀) (hk₀ : ∀ l : ι, ¬c.Rel k₀ l) (hom : ∀ i j, C.X i ⟶ D.X j) : (nullHomotopicMap hom).f k₀ = hom k₀ k₁ ≫ D.d k₁ k₀ := by dsimp only [nullHomotopicMap] rw [prevD_eq hom r₁₀, dNext, AddMonoidHom.mk'_apply, C.shape, zero_comp, zero_add] exact hk₀ _ #align homotopy.null_homotopic_map_f_of_not_rel_left Homotopy.nullHomotopicMap_f_of_not_rel_left @[simp]
Mathlib/Algebra/Homology/Homotopy.lean
413
419
theorem nullHomotopicMap'_f_of_not_rel_left {k₁ k₀ : ι} (r₁₀ : c.Rel k₁ k₀) (hk₀ : ∀ l : ι, ¬c.Rel k₀ l) (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : (nullHomotopicMap' h).f k₀ = h k₀ k₁ r₁₀ ≫ D.d k₁ k₀ := by
simp only [nullHomotopicMap'] rw [nullHomotopicMap_f_of_not_rel_left r₁₀ hk₀] split_ifs rfl
import Mathlib.Algebra.GeomSum import Mathlib.Order.Filter.Archimedean import Mathlib.Order.Iterate import Mathlib.Topology.Algebra.Algebra import Mathlib.Topology.Algebra.InfiniteSum.Real #align_import analysis.specific_limits.basic from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" noncomputable section open scoped Classical open Set Function Filter Finset Metric open scoped Classical open Topology Nat uniformity NNReal ENNReal variable {α : Type*} {β : Type*} {ι : Type*} theorem tendsto_inverse_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ (n : ℝ)⁻¹) atTop (𝓝 0) := tendsto_inv_atTop_zero.comp tendsto_natCast_atTop_atTop #align tendsto_inverse_at_top_nhds_0_nat tendsto_inverse_atTop_nhds_zero_nat @[deprecated (since := "2024-01-31")] alias tendsto_inverse_atTop_nhds_0_nat := tendsto_inverse_atTop_nhds_zero_nat theorem tendsto_const_div_atTop_nhds_zero_nat (C : ℝ) : Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by simpa only [mul_zero] using tendsto_const_nhds.mul tendsto_inverse_atTop_nhds_zero_nat #align tendsto_const_div_at_top_nhds_0_nat tendsto_const_div_atTop_nhds_zero_nat @[deprecated (since := "2024-01-31")] alias tendsto_const_div_atTop_nhds_0_nat := tendsto_const_div_atTop_nhds_zero_nat theorem tendsto_one_div_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ 1/(n : ℝ)) atTop (𝓝 0) := tendsto_const_div_atTop_nhds_zero_nat 1 @[deprecated (since := "2024-01-31")] alias tendsto_one_div_atTop_nhds_0_nat := tendsto_one_div_atTop_nhds_zero_nat theorem NNReal.tendsto_inverse_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ (n : ℝ≥0)⁻¹) atTop (𝓝 0) := by rw [← NNReal.tendsto_coe] exact _root_.tendsto_inverse_atTop_nhds_zero_nat #align nnreal.tendsto_inverse_at_top_nhds_0_nat NNReal.tendsto_inverse_atTop_nhds_zero_nat @[deprecated (since := "2024-01-31")] alias NNReal.tendsto_inverse_atTop_nhds_0_nat := NNReal.tendsto_inverse_atTop_nhds_zero_nat theorem NNReal.tendsto_const_div_atTop_nhds_zero_nat (C : ℝ≥0) : Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) := by simpa using tendsto_const_nhds.mul NNReal.tendsto_inverse_atTop_nhds_zero_nat #align nnreal.tendsto_const_div_at_top_nhds_0_nat NNReal.tendsto_const_div_atTop_nhds_zero_nat @[deprecated (since := "2024-01-31")] alias NNReal.tendsto_const_div_atTop_nhds_0_nat := NNReal.tendsto_const_div_atTop_nhds_zero_nat theorem tendsto_one_div_add_atTop_nhds_zero_nat : Tendsto (fun n : ℕ ↦ 1 / ((n : ℝ) + 1)) atTop (𝓝 0) := suffices Tendsto (fun n : ℕ ↦ 1 / (↑(n + 1) : ℝ)) atTop (𝓝 0) by simpa (tendsto_add_atTop_iff_nat 1).2 (_root_.tendsto_const_div_atTop_nhds_zero_nat 1) #align tendsto_one_div_add_at_top_nhds_0_nat tendsto_one_div_add_atTop_nhds_zero_nat @[deprecated (since := "2024-01-31")] alias tendsto_one_div_add_atTop_nhds_0_nat := tendsto_one_div_add_atTop_nhds_zero_nat
Mathlib/Analysis/SpecificLimits/Basic.lean
74
79
theorem NNReal.tendsto_algebraMap_inverse_atTop_nhds_zero_nat (𝕜 : Type*) [Semiring 𝕜] [Algebra ℝ≥0 𝕜] [TopologicalSpace 𝕜] [ContinuousSMul ℝ≥0 𝕜] : Tendsto (algebraMap ℝ≥0 𝕜 ∘ fun n : ℕ ↦ (n : ℝ≥0)⁻¹) atTop (𝓝 0) := by
convert (continuous_algebraMap ℝ≥0 𝕜).continuousAt.tendsto.comp tendsto_inverse_atTop_nhds_zero_nat rw [map_zero]
import Mathlib.Data.Stream.Init import Mathlib.Tactic.Common #align_import data.seq.computation from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58" open Function universe u v w def Computation (α : Type u) : Type u := { f : Stream' (Option α) // ∀ ⦃n a⦄, f n = some a → f (n + 1) = some a } #align computation Computation namespace Computation variable {α : Type u} {β : Type v} {γ : Type w} -- constructors -- Porting note: `return` is reserved, so changed to `pure` def pure (a : α) : Computation α := ⟨Stream'.const (some a), fun _ _ => id⟩ #align computation.return Computation.pure instance : CoeTC α (Computation α) := ⟨pure⟩ -- note [use has_coe_t] def think (c : Computation α) : Computation α := ⟨Stream'.cons none c.1, fun n a h => by cases' n with n · contradiction · exact c.2 h⟩ #align computation.think Computation.think def thinkN (c : Computation α) : ℕ → Computation α | 0 => c | n + 1 => think (thinkN c n) set_option linter.uppercaseLean3 false in #align computation.thinkN Computation.thinkN -- check for immediate result def head (c : Computation α) : Option α := c.1.head #align computation.head Computation.head -- one step of computation def tail (c : Computation α) : Computation α := ⟨c.1.tail, fun _ _ h => c.2 h⟩ #align computation.tail Computation.tail def empty (α) : Computation α := ⟨Stream'.const none, fun _ _ => id⟩ #align computation.empty Computation.empty instance : Inhabited (Computation α) := ⟨empty _⟩ def runFor : Computation α → ℕ → Option α := Subtype.val #align computation.run_for Computation.runFor def destruct (c : Computation α) : Sum α (Computation α) := match c.1 0 with | none => Sum.inr (tail c) | some a => Sum.inl a #align computation.destruct Computation.destruct unsafe def run : Computation α → α | c => match destruct c with | Sum.inl a => a | Sum.inr ca => run ca #align computation.run Computation.run theorem destruct_eq_pure {s : Computation α} {a : α} : destruct s = Sum.inl a → s = pure a := by dsimp [destruct] induction' f0 : s.1 0 with _ <;> intro h · contradiction · apply Subtype.eq funext n induction' n with n IH · injection h with h' rwa [h'] at f0 · exact s.2 IH #align computation.destruct_eq_ret Computation.destruct_eq_pure theorem destruct_eq_think {s : Computation α} {s'} : destruct s = Sum.inr s' → s = think s' := by dsimp [destruct] induction' f0 : s.1 0 with a' <;> intro h · injection h with h' rw [← h'] cases' s with f al apply Subtype.eq dsimp [think, tail] rw [← f0] exact (Stream'.eta f).symm · contradiction #align computation.destruct_eq_think Computation.destruct_eq_think @[simp] theorem destruct_pure (a : α) : destruct (pure a) = Sum.inl a := rfl #align computation.destruct_ret Computation.destruct_pure @[simp] theorem destruct_think : ∀ s : Computation α, destruct (think s) = Sum.inr s | ⟨_, _⟩ => rfl #align computation.destruct_think Computation.destruct_think @[simp] theorem destruct_empty : destruct (empty α) = Sum.inr (empty α) := rfl #align computation.destruct_empty Computation.destruct_empty @[simp] theorem head_pure (a : α) : head (pure a) = some a := rfl #align computation.head_ret Computation.head_pure @[simp] theorem head_think (s : Computation α) : head (think s) = none := rfl #align computation.head_think Computation.head_think @[simp] theorem head_empty : head (empty α) = none := rfl #align computation.head_empty Computation.head_empty @[simp] theorem tail_pure (a : α) : tail (pure a) = pure a := rfl #align computation.tail_ret Computation.tail_pure @[simp] theorem tail_think (s : Computation α) : tail (think s) = s := by cases' s with f al; apply Subtype.eq; dsimp [tail, think] #align computation.tail_think Computation.tail_think @[simp] theorem tail_empty : tail (empty α) = empty α := rfl #align computation.tail_empty Computation.tail_empty theorem think_empty : empty α = think (empty α) := destruct_eq_think destruct_empty #align computation.think_empty Computation.think_empty def recOn {C : Computation α → Sort v} (s : Computation α) (h1 : ∀ a, C (pure a)) (h2 : ∀ s, C (think s)) : C s := match H : destruct s with | Sum.inl v => by rw [destruct_eq_pure H] apply h1 | Sum.inr v => match v with | ⟨a, s'⟩ => by rw [destruct_eq_think H] apply h2 #align computation.rec_on Computation.recOn def Corec.f (f : β → Sum α β) : Sum α β → Option α × Sum α β | Sum.inl a => (some a, Sum.inl a) | Sum.inr b => (match f b with | Sum.inl a => some a | Sum.inr _ => none, f b) set_option linter.uppercaseLean3 false in #align computation.corec.F Computation.Corec.f def corec (f : β → Sum α β) (b : β) : Computation α := by refine ⟨Stream'.corec' (Corec.f f) (Sum.inr b), fun n a' h => ?_⟩ rw [Stream'.corec'_eq] change Stream'.corec' (Corec.f f) (Corec.f f (Sum.inr b)).2 n = some a' revert h; generalize Sum.inr b = o; revert o induction' n with n IH <;> intro o · change (Corec.f f o).1 = some a' → (Corec.f f (Corec.f f o).2).1 = some a' cases' o with _ b <;> intro h · exact h unfold Corec.f at *; split <;> simp_all · rw [Stream'.corec'_eq (Corec.f f) (Corec.f f o).2, Stream'.corec'_eq (Corec.f f) o] exact IH (Corec.f f o).2 #align computation.corec Computation.corec def lmap (f : α → β) : Sum α γ → Sum β γ | Sum.inl a => Sum.inl (f a) | Sum.inr b => Sum.inr b #align computation.lmap Computation.lmap def rmap (f : β → γ) : Sum α β → Sum α γ | Sum.inl a => Sum.inl a | Sum.inr b => Sum.inr (f b) #align computation.rmap Computation.rmap attribute [simp] lmap rmap -- Porting note: this was far less painful in mathlib3. There seem to be two issues; -- firstly, in mathlib3 we have `corec.F._match_1` and it's the obvious map α ⊕ β → option α. -- In mathlib4 we have `Corec.f.match_1` and it's something completely different. -- Secondly, the proof that `Stream'.corec' (Corec.f f) (Sum.inr b) 0` is this function -- evaluated at `f b`, used to be `rfl` and now is `cases, rfl`. @[simp] theorem corec_eq (f : β → Sum α β) (b : β) : destruct (corec f b) = rmap (corec f) (f b) := by dsimp [corec, destruct] rw [show Stream'.corec' (Corec.f f) (Sum.inr b) 0 = Sum.rec Option.some (fun _ ↦ none) (f b) by dsimp [Corec.f, Stream'.corec', Stream'.corec, Stream'.map, Stream'.get, Stream'.iterate] match (f b) with | Sum.inl x => rfl | Sum.inr x => rfl ] induction' h : f b with a b'; · rfl dsimp [Corec.f, destruct] apply congr_arg; apply Subtype.eq dsimp [corec, tail] rw [Stream'.corec'_eq, Stream'.tail_cons] dsimp [Corec.f]; rw [h] #align computation.corec_eq Computation.corec_eq -- It's more of a stretch to use ∈ for this relation, but it -- asserts that the computation limits to the given value. protected def Mem (a : α) (s : Computation α) := some a ∈ s.1 #align computation.mem Computation.Mem instance : Membership α (Computation α) := ⟨Computation.Mem⟩ theorem le_stable (s : Computation α) {a m n} (h : m ≤ n) : s.1 m = some a → s.1 n = some a := by cases' s with f al induction' h with n _ IH exacts [id, fun h2 => al (IH h2)] #align computation.le_stable Computation.le_stable theorem mem_unique {s : Computation α} {a b : α} : a ∈ s → b ∈ s → a = b | ⟨m, ha⟩, ⟨n, hb⟩ => by injection (le_stable s (le_max_left m n) ha.symm).symm.trans (le_stable s (le_max_right m n) hb.symm) #align computation.mem_unique Computation.mem_unique theorem Mem.left_unique : Relator.LeftUnique ((· ∈ ·) : α → Computation α → Prop) := fun _ _ _ => mem_unique #align computation.mem.left_unique Computation.Mem.left_unique class Terminates (s : Computation α) : Prop where term : ∃ a, a ∈ s #align computation.terminates Computation.Terminates theorem terminates_iff (s : Computation α) : Terminates s ↔ ∃ a, a ∈ s := ⟨fun h => h.1, Terminates.mk⟩ #align computation.terminates_iff Computation.terminates_iff theorem terminates_of_mem {s : Computation α} {a : α} (h : a ∈ s) : Terminates s := ⟨⟨a, h⟩⟩ #align computation.terminates_of_mem Computation.terminates_of_mem theorem terminates_def (s : Computation α) : Terminates s ↔ ∃ n, (s.1 n).isSome := ⟨fun ⟨⟨a, n, h⟩⟩ => ⟨n, by dsimp [Stream'.get] at h rw [← h] exact rfl⟩, fun ⟨n, h⟩ => ⟨⟨Option.get _ h, n, (Option.eq_some_of_isSome h).symm⟩⟩⟩ #align computation.terminates_def Computation.terminates_def theorem ret_mem (a : α) : a ∈ pure a := Exists.intro 0 rfl #align computation.ret_mem Computation.ret_mem theorem eq_of_pure_mem {a a' : α} (h : a' ∈ pure a) : a' = a := mem_unique h (ret_mem _) #align computation.eq_of_ret_mem Computation.eq_of_pure_mem instance ret_terminates (a : α) : Terminates (pure a) := terminates_of_mem (ret_mem _) #align computation.ret_terminates Computation.ret_terminates theorem think_mem {s : Computation α} {a} : a ∈ s → a ∈ think s | ⟨n, h⟩ => ⟨n + 1, h⟩ #align computation.think_mem Computation.think_mem instance think_terminates (s : Computation α) : ∀ [Terminates s], Terminates (think s) | ⟨⟨a, n, h⟩⟩ => ⟨⟨a, n + 1, h⟩⟩ #align computation.think_terminates Computation.think_terminates theorem of_think_mem {s : Computation α} {a} : a ∈ think s → a ∈ s | ⟨n, h⟩ => by cases' n with n' · contradiction · exact ⟨n', h⟩ #align computation.of_think_mem Computation.of_think_mem theorem of_think_terminates {s : Computation α} : Terminates (think s) → Terminates s | ⟨⟨a, h⟩⟩ => ⟨⟨a, of_think_mem h⟩⟩ #align computation.of_think_terminates Computation.of_think_terminates theorem not_mem_empty (a : α) : a ∉ empty α := fun ⟨n, h⟩ => by contradiction #align computation.not_mem_empty Computation.not_mem_empty theorem not_terminates_empty : ¬Terminates (empty α) := fun ⟨⟨a, h⟩⟩ => not_mem_empty a h #align computation.not_terminates_empty Computation.not_terminates_empty theorem eq_empty_of_not_terminates {s} (H : ¬Terminates s) : s = empty α := by apply Subtype.eq; funext n induction' h : s.val n with _; · rfl refine absurd ?_ H; exact ⟨⟨_, _, h.symm⟩⟩ #align computation.eq_empty_of_not_terminates Computation.eq_empty_of_not_terminates theorem thinkN_mem {s : Computation α} {a} : ∀ n, a ∈ thinkN s n ↔ a ∈ s | 0 => Iff.rfl | n + 1 => Iff.trans ⟨of_think_mem, think_mem⟩ (thinkN_mem n) set_option linter.uppercaseLean3 false in #align computation.thinkN_mem Computation.thinkN_mem instance thinkN_terminates (s : Computation α) : ∀ [Terminates s] (n), Terminates (thinkN s n) | ⟨⟨a, h⟩⟩, n => ⟨⟨a, (thinkN_mem n).2 h⟩⟩ set_option linter.uppercaseLean3 false in #align computation.thinkN_terminates Computation.thinkN_terminates theorem of_thinkN_terminates (s : Computation α) (n) : Terminates (thinkN s n) → Terminates s | ⟨⟨a, h⟩⟩ => ⟨⟨a, (thinkN_mem _).1 h⟩⟩ set_option linter.uppercaseLean3 false in #align computation.of_thinkN_terminates Computation.of_thinkN_terminates def Promises (s : Computation α) (a : α) : Prop := ∀ ⦃a'⦄, a' ∈ s → a = a' #align computation.promises Computation.Promises scoped infixl:50 " ~> " => Promises theorem mem_promises {s : Computation α} {a : α} : a ∈ s → s ~> a := fun h _ => mem_unique h #align computation.mem_promises Computation.mem_promises theorem empty_promises (a : α) : empty α ~> a := fun _ h => absurd h (not_mem_empty _) #align computation.empty_promises Computation.empty_promises section get variable (s : Computation α) [h : Terminates s] def length : ℕ := Nat.find ((terminates_def _).1 h) #align computation.length Computation.length def get : α := Option.get _ (Nat.find_spec <| (terminates_def _).1 h) #align computation.get Computation.get theorem get_mem : get s ∈ s := Exists.intro (length s) (Option.eq_some_of_isSome _).symm #align computation.get_mem Computation.get_mem theorem get_eq_of_mem {a} : a ∈ s → get s = a := mem_unique (get_mem _) #align computation.get_eq_of_mem Computation.get_eq_of_mem theorem mem_of_get_eq {a} : get s = a → a ∈ s := by intro h; rw [← h]; apply get_mem #align computation.mem_of_get_eq Computation.mem_of_get_eq @[simp] theorem get_think : get (think s) = get s := get_eq_of_mem _ <| let ⟨n, h⟩ := get_mem s ⟨n + 1, h⟩ #align computation.get_think Computation.get_think @[simp] theorem get_thinkN (n) : get (thinkN s n) = get s := get_eq_of_mem _ <| (thinkN_mem _).2 (get_mem _) set_option linter.uppercaseLean3 false in #align computation.get_thinkN Computation.get_thinkN theorem get_promises : s ~> get s := fun _ => get_eq_of_mem _ #align computation.get_promises Computation.get_promises
Mathlib/Data/Seq/Computation.lean
479
483
theorem mem_of_promises {a} (p : s ~> a) : a ∈ s := by
cases' h with h cases' h with a' h rw [p h] exact h
import Mathlib.Analysis.Convex.Basic import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Topology.Order.Basic #align_import analysis.convex.strict from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219" open Set open Convex Pointwise variable {𝕜 𝕝 E F β : Type*} open Function Set open Convex section OrderedSemiring variable [OrderedSemiring 𝕜] [TopologicalSpace E] [TopologicalSpace F] section AddCommMonoid variable [AddCommMonoid E] [AddCommMonoid F] section SMul variable (𝕜) variable [SMul 𝕜 E] [SMul 𝕜 F] (s : Set E) def StrictConvex : Prop := s.Pairwise fun x y => ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 → a • x + b • y ∈ interior s #align strict_convex StrictConvex variable {𝕜 s} variable {x y : E} {a b : 𝕜} theorem strictConvex_iff_openSegment_subset : StrictConvex 𝕜 s ↔ s.Pairwise fun x y => openSegment 𝕜 x y ⊆ interior s := forall₅_congr fun _ _ _ _ _ => (openSegment_subset_iff 𝕜).symm #align strict_convex_iff_open_segment_subset strictConvex_iff_openSegment_subset theorem StrictConvex.openSegment_subset (hs : StrictConvex 𝕜 s) (hx : x ∈ s) (hy : y ∈ s) (h : x ≠ y) : openSegment 𝕜 x y ⊆ interior s := strictConvex_iff_openSegment_subset.1 hs hx hy h #align strict_convex.open_segment_subset StrictConvex.openSegment_subset theorem strictConvex_empty : StrictConvex 𝕜 (∅ : Set E) := pairwise_empty _ #align strict_convex_empty strictConvex_empty
Mathlib/Analysis/Convex/Strict.lean
67
70
theorem strictConvex_univ : StrictConvex 𝕜 (univ : Set E) := by
intro x _ y _ _ a b _ _ _ rw [interior_univ] exact mem_univ _
import Mathlib.Analysis.Calculus.ContDiff.Defs import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.Deriv.Inverse #align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical NNReal Nat local notation "∞" => (⊤ : ℕ∞) universe u v w uD uE uF uG attribute [local instance 1001] NormedAddCommGroup.toAddCommGroup NormedSpace.toModule' AddCommGroup.toAddCommMonoid open Set Fin Filter Function open scoped Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D] [NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F} {g : F → G} {x x₀ : E} {c : F} {b : E × F → G} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F} @[simp] theorem iteratedFDerivWithin_zero_fun (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} : iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s x = 0 := by induction i generalizing x with | zero => ext; simp | succ i IH => ext m rw [iteratedFDerivWithin_succ_apply_left, fderivWithin_congr (fun _ ↦ IH) (IH hx)] rw [fderivWithin_const_apply _ (hs x hx)] rfl @[simp] theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 := funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using iteratedFDerivWithin_zero_fun uniqueDiffOn_univ (mem_univ x) #align iterated_fderiv_zero_fun iteratedFDeriv_zero_fun theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) := contDiff_of_differentiable_iteratedFDeriv fun m _ => by rw [iteratedFDeriv_zero_fun] exact differentiable_const (0 : E[×m]→L[𝕜] F) #align cont_diff_zero_fun contDiff_zero_fun theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c := by suffices h : ContDiff 𝕜 ∞ fun _ : E => c from h.of_le le_top rw [contDiff_top_iff_fderiv] refine ⟨differentiable_const c, ?_⟩ rw [fderiv_const] exact contDiff_zero_fun #align cont_diff_const contDiff_const theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s := contDiff_const.contDiffOn #align cont_diff_on_const contDiffOn_const theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x := contDiff_const.contDiffAt #align cont_diff_at_const contDiffAt_const theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x := contDiffAt_const.contDiffWithinAt #align cont_diff_within_at_const contDiffWithinAt_const @[nontriviality] theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const #align cont_diff_of_subsingleton contDiff_of_subsingleton @[nontriviality] theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const #align cont_diff_at_of_subsingleton contDiffAt_of_subsingleton @[nontriviality] theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const #align cont_diff_within_at_of_subsingleton contDiffWithinAt_of_subsingleton @[nontriviality] theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const #align cont_diff_on_of_subsingleton contDiffOn_of_subsingleton theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s x = 0 := by ext m rw [iteratedFDerivWithin_succ_apply_right hs hx] rw [iteratedFDerivWithin_congr (fun y hy ↦ fderivWithin_const_apply c (hs y hy)) hx] rw [iteratedFDerivWithin_zero_fun hs hx] simp [ContinuousMultilinearMap.zero_apply (R := 𝕜)] theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) : (iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 := funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using iteratedFDerivWithin_succ_const n c uniqueDiffOn_univ (mem_univ x) #align iterated_fderiv_succ_const iteratedFDeriv_succ_const
Mathlib/Analysis/Calculus/ContDiff/Basic.lean
140
145
theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s x = 0 := by
cases n with | zero => contradiction | succ n => exact iteratedFDerivWithin_succ_const n c hs hx
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Algebra.Group.Submonoid.Basic import Mathlib.Deprecated.Group #align_import deprecated.submonoid from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" variable {M : Type*} [Monoid M] {s : Set M} variable {A : Type*} [AddMonoid A] {t : Set A} structure IsAddSubmonoid (s : Set A) : Prop where zero_mem : (0 : A) ∈ s add_mem {a b} : a ∈ s → b ∈ s → a + b ∈ s #align is_add_submonoid IsAddSubmonoid @[to_additive] structure IsSubmonoid (s : Set M) : Prop where one_mem : (1 : M) ∈ s mul_mem {a b} : a ∈ s → b ∈ s → a * b ∈ s #align is_submonoid IsSubmonoid theorem Additive.isAddSubmonoid {s : Set M} : IsSubmonoid s → @IsAddSubmonoid (Additive M) _ s | ⟨h₁, h₂⟩ => ⟨h₁, @h₂⟩ #align additive.is_add_submonoid Additive.isAddSubmonoid theorem Additive.isAddSubmonoid_iff {s : Set M} : @IsAddSubmonoid (Additive M) _ s ↔ IsSubmonoid s := ⟨fun ⟨h₁, h₂⟩ => ⟨h₁, @h₂⟩, Additive.isAddSubmonoid⟩ #align additive.is_add_submonoid_iff Additive.isAddSubmonoid_iff theorem Multiplicative.isSubmonoid {s : Set A} : IsAddSubmonoid s → @IsSubmonoid (Multiplicative A) _ s | ⟨h₁, h₂⟩ => ⟨h₁, @h₂⟩ #align multiplicative.is_submonoid Multiplicative.isSubmonoid theorem Multiplicative.isSubmonoid_iff {s : Set A} : @IsSubmonoid (Multiplicative A) _ s ↔ IsAddSubmonoid s := ⟨fun ⟨h₁, h₂⟩ => ⟨h₁, @h₂⟩, Multiplicative.isSubmonoid⟩ #align multiplicative.is_submonoid_iff Multiplicative.isSubmonoid_iff @[to_additive "The intersection of two `AddSubmonoid`s of an `AddMonoid` `M` is an `AddSubmonoid` of M."] theorem IsSubmonoid.inter {s₁ s₂ : Set M} (is₁ : IsSubmonoid s₁) (is₂ : IsSubmonoid s₂) : IsSubmonoid (s₁ ∩ s₂) := { one_mem := ⟨is₁.one_mem, is₂.one_mem⟩ mul_mem := @fun _ _ hx hy => ⟨is₁.mul_mem hx.1 hy.1, is₂.mul_mem hx.2 hy.2⟩ } #align is_submonoid.inter IsSubmonoid.inter #align is_add_submonoid.inter IsAddSubmonoid.inter @[to_additive "The intersection of an indexed set of `AddSubmonoid`s of an `AddMonoid` `M` is an `AddSubmonoid` of `M`."] theorem IsSubmonoid.iInter {ι : Sort*} {s : ι → Set M} (h : ∀ y : ι, IsSubmonoid (s y)) : IsSubmonoid (Set.iInter s) := { one_mem := Set.mem_iInter.2 fun y => (h y).one_mem mul_mem := fun h₁ h₂ => Set.mem_iInter.2 fun y => (h y).mul_mem (Set.mem_iInter.1 h₁ y) (Set.mem_iInter.1 h₂ y) } #align is_submonoid.Inter IsSubmonoid.iInter #align is_add_submonoid.Inter IsAddSubmonoid.iInter @[to_additive "The union of an indexed, directed, nonempty set of `AddSubmonoid`s of an `AddMonoid` `M` is an `AddSubmonoid` of `M`. "] theorem isSubmonoid_iUnion_of_directed {ι : Type*} [hι : Nonempty ι] {s : ι → Set M} (hs : ∀ i, IsSubmonoid (s i)) (Directed : ∀ i j, ∃ k, s i ⊆ s k ∧ s j ⊆ s k) : IsSubmonoid (⋃ i, s i) := { one_mem := let ⟨i⟩ := hι Set.mem_iUnion.2 ⟨i, (hs i).one_mem⟩ mul_mem := fun ha hb => let ⟨i, hi⟩ := Set.mem_iUnion.1 ha let ⟨j, hj⟩ := Set.mem_iUnion.1 hb let ⟨k, hk⟩ := Directed i j Set.mem_iUnion.2 ⟨k, (hs k).mul_mem (hk.1 hi) (hk.2 hj)⟩ } #align is_submonoid_Union_of_directed isSubmonoid_iUnion_of_directed #align is_add_submonoid_Union_of_directed isAddSubmonoid_iUnion_of_directed section powers @[to_additive "The set of natural number multiples `0, x, 2x, ...` of an element `x` of an `AddMonoid`."] def powers (x : M) : Set M := { y | ∃ n : ℕ, x ^ n = y } #align powers powers #align multiples multiples @[to_additive "0 is in the set of natural number multiples of an element of an `AddMonoid`."] theorem powers.one_mem {x : M} : (1 : M) ∈ powers x := ⟨0, pow_zero _⟩ #align powers.one_mem powers.one_mem #align multiples.zero_mem multiples.zero_mem @[to_additive "An element of an `AddMonoid` is in the set of that element's natural number multiples."] theorem powers.self_mem {x : M} : x ∈ powers x := ⟨1, pow_one _⟩ #align powers.self_mem powers.self_mem #align multiples.self_mem multiples.self_mem @[to_additive "The set of natural number multiples of an element of an `AddMonoid` is closed under addition."] theorem powers.mul_mem {x y z : M} : y ∈ powers x → z ∈ powers x → y * z ∈ powers x := fun ⟨n₁, h₁⟩ ⟨n₂, h₂⟩ => ⟨n₁ + n₂, by simp only [pow_add, *]⟩ #align powers.mul_mem powers.mul_mem #align multiples.add_mem multiples.add_mem @[to_additive "The set of natural number multiples of an element of an `AddMonoid` `M` is an `AddSubmonoid` of `M`."] theorem powers.isSubmonoid (x : M) : IsSubmonoid (powers x) := { one_mem := powers.one_mem mul_mem := powers.mul_mem } #align powers.is_submonoid powers.isSubmonoid #align multiples.is_add_submonoid multiples.isAddSubmonoid @[to_additive "An `AddMonoid` is an `AddSubmonoid` of itself."]
Mathlib/Deprecated/Submonoid.lean
165
165
theorem Univ.isSubmonoid : IsSubmonoid (@Set.univ M) := by
constructor <;> simp
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Nat import Mathlib.Init.Data.Nat.Lemmas #align_import data.nat.psub from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" namespace Nat def ppred : ℕ → Option ℕ | 0 => none | n + 1 => some n #align nat.ppred Nat.ppred @[simp] theorem ppred_zero : ppred 0 = none := rfl @[simp] theorem ppred_succ {n : ℕ} : ppred (succ n) = some n := rfl def psub (m : ℕ) : ℕ → Option ℕ | 0 => some m | n + 1 => psub m n >>= ppred #align nat.psub Nat.psub @[simp] theorem psub_zero {m : ℕ} : psub m 0 = some m := rfl @[simp] theorem psub_succ {m n : ℕ} : psub m (succ n) = psub m n >>= ppred := rfl
Mathlib/Data/Nat/PSub.lean
54
54
theorem pred_eq_ppred (n : ℕ) : pred n = (ppred n).getD 0 := by
cases n <;> rfl
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Combinatorics.Additive.AP.Three.Defs import Mathlib.Combinatorics.Pigeonhole import Mathlib.Data.Complex.ExponentialBounds #align_import combinatorics.additive.behrend from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" open Nat hiding log open Finset Metric Real open scoped Pointwise lemma threeAPFree_frontier {𝕜 E : Type*} [LinearOrderedField 𝕜] [TopologicalSpace E] [AddCommMonoid E] [Module 𝕜 E] {s : Set E} (hs₀ : IsClosed s) (hs₁ : StrictConvex 𝕜 s) : ThreeAPFree (frontier s) := by intro a ha b hb c hc habc obtain rfl : (1 / 2 : 𝕜) • a + (1 / 2 : 𝕜) • c = b := by rwa [← smul_add, one_div, inv_smul_eq_iff₀ (show (2 : 𝕜) ≠ 0 by norm_num), two_smul] have := hs₁.eq (hs₀.frontier_subset ha) (hs₀.frontier_subset hc) one_half_pos one_half_pos (add_halves _) hb.2 simp [this, ← add_smul] ring_nf simp #align add_salem_spencer_frontier threeAPFree_frontier lemma threeAPFree_sphere {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [StrictConvexSpace ℝ E] (x : E) (r : ℝ) : ThreeAPFree (sphere x r) := by obtain rfl | hr := eq_or_ne r 0 · rw [sphere_zero] exact threeAPFree_singleton _ · convert threeAPFree_frontier isClosed_ball (strictConvex_closedBall ℝ x r) exact (frontier_closedBall _ hr).symm #align add_salem_spencer_sphere threeAPFree_sphere namespace Behrend variable {α β : Type*} {n d k N : ℕ} {x : Fin n → ℕ} def box (n d : ℕ) : Finset (Fin n → ℕ) := Fintype.piFinset fun _ => range d #align behrend.box Behrend.box theorem mem_box : x ∈ box n d ↔ ∀ i, x i < d := by simp only [box, Fintype.mem_piFinset, mem_range] #align behrend.mem_box Behrend.mem_box @[simp] theorem card_box : (box n d).card = d ^ n := by simp [box] #align behrend.card_box Behrend.card_box @[simp] theorem box_zero : box (n + 1) 0 = ∅ := by simp [box] #align behrend.box_zero Behrend.box_zero def sphere (n d k : ℕ) : Finset (Fin n → ℕ) := (box n d).filter fun x => ∑ i, x i ^ 2 = k #align behrend.sphere Behrend.sphere theorem sphere_zero_subset : sphere n d 0 ⊆ 0 := fun x => by simp [sphere, Function.funext_iff] #align behrend.sphere_zero_subset Behrend.sphere_zero_subset @[simp] theorem sphere_zero_right (n k : ℕ) : sphere (n + 1) 0 k = ∅ := by simp [sphere] #align behrend.sphere_zero_right Behrend.sphere_zero_right theorem sphere_subset_box : sphere n d k ⊆ box n d := filter_subset _ _ #align behrend.sphere_subset_box Behrend.sphere_subset_box theorem norm_of_mem_sphere {x : Fin n → ℕ} (hx : x ∈ sphere n d k) : ‖(WithLp.equiv 2 _).symm ((↑) ∘ x : Fin n → ℝ)‖ = √↑k := by rw [EuclideanSpace.norm_eq] dsimp simp_rw [abs_cast, ← cast_pow, ← cast_sum, (mem_filter.1 hx).2] #align behrend.norm_of_mem_sphere Behrend.norm_of_mem_sphere theorem sphere_subset_preimage_metric_sphere : (sphere n d k : Set (Fin n → ℕ)) ⊆ (fun x : Fin n → ℕ => (WithLp.equiv 2 _).symm ((↑) ∘ x : Fin n → ℝ)) ⁻¹' Metric.sphere (0 : PiLp 2 fun _ : Fin n => ℝ) (√↑k) := fun x hx => by rw [Set.mem_preimage, mem_sphere_zero_iff_norm, norm_of_mem_sphere hx] #align behrend.sphere_subset_preimage_metric_sphere Behrend.sphere_subset_preimage_metric_sphere @[simps] def map (d : ℕ) : (Fin n → ℕ) →+ ℕ where toFun a := ∑ i, a i * d ^ (i : ℕ) map_zero' := by simp_rw [Pi.zero_apply, zero_mul, sum_const_zero] map_add' a b := by simp_rw [Pi.add_apply, add_mul, sum_add_distrib] #align behrend.map Behrend.map -- @[simp] -- Porting note (#10618): simp can prove this theorem map_zero (d : ℕ) (a : Fin 0 → ℕ) : map d a = 0 := by simp [map] #align behrend.map_zero Behrend.map_zero theorem map_succ (a : Fin (n + 1) → ℕ) : map d a = a 0 + (∑ x : Fin n, a x.succ * d ^ (x : ℕ)) * d := by simp [map, Fin.sum_univ_succ, _root_.pow_succ, ← mul_assoc, ← sum_mul] #align behrend.map_succ Behrend.map_succ theorem map_succ' (a : Fin (n + 1) → ℕ) : map d a = a 0 + map d (a ∘ Fin.succ) * d := map_succ _ #align behrend.map_succ' Behrend.map_succ' theorem map_monotone (d : ℕ) : Monotone (map d : (Fin n → ℕ) → ℕ) := fun x y h => by dsimp; exact sum_le_sum fun i _ => Nat.mul_le_mul_right _ <| h i #align behrend.map_monotone Behrend.map_monotone theorem map_mod (a : Fin n.succ → ℕ) : map d a % d = a 0 % d := by rw [map_succ, Nat.add_mul_mod_self_right] #align behrend.map_mod Behrend.map_mod theorem map_eq_iff {x₁ x₂ : Fin n.succ → ℕ} (hx₁ : ∀ i, x₁ i < d) (hx₂ : ∀ i, x₂ i < d) : map d x₁ = map d x₂ ↔ x₁ 0 = x₂ 0 ∧ map d (x₁ ∘ Fin.succ) = map d (x₂ ∘ Fin.succ) := by refine ⟨fun h => ?_, fun h => by rw [map_succ', map_succ', h.1, h.2]⟩ have : x₁ 0 = x₂ 0 := by rw [← mod_eq_of_lt (hx₁ _), ← map_mod, ← mod_eq_of_lt (hx₂ _), ← map_mod, h] rw [map_succ, map_succ, this, add_right_inj, mul_eq_mul_right_iff] at h exact ⟨this, h.resolve_right (pos_of_gt (hx₁ 0)).ne'⟩ #align behrend.map_eq_iff Behrend.map_eq_iff theorem map_injOn : {x : Fin n → ℕ | ∀ i, x i < d}.InjOn (map d) := by intro x₁ hx₁ x₂ hx₂ h induction' n with n ih · simp [eq_iff_true_of_subsingleton] rw [forall_const] at ih ext i have x := (map_eq_iff hx₁ hx₂).1 h refine Fin.cases x.1 (congr_fun <| ih (fun _ => ?_) (fun _ => ?_) x.2) i · exact hx₁ _ · exact hx₂ _ #align behrend.map_inj_on Behrend.map_injOn theorem map_le_of_mem_box (hx : x ∈ box n d) : map (2 * d - 1) x ≤ ∑ i : Fin n, (d - 1) * (2 * d - 1) ^ (i : ℕ) := map_monotone (2 * d - 1) fun _ => Nat.le_sub_one_of_lt <| mem_box.1 hx _ #align behrend.map_le_of_mem_box Behrend.map_le_of_mem_box nonrec theorem threeAPFree_sphere : ThreeAPFree (sphere n d k : Set (Fin n → ℕ)) := by set f : (Fin n → ℕ) →+ EuclideanSpace ℝ (Fin n) := { toFun := fun f => ((↑) : ℕ → ℝ) ∘ f map_zero' := funext fun _ => cast_zero map_add' := fun _ _ => funext fun _ => cast_add _ _ } refine ThreeAPFree.of_image (AddMonoidHomClass.isAddFreimanHom f (Set.mapsTo_image _ _)) cast_injective.comp_left.injOn (Set.subset_univ _) ?_ refine (threeAPFree_sphere 0 (√↑k)).mono (Set.image_subset_iff.2 fun x => ?_) rw [Set.mem_preimage, mem_sphere_zero_iff_norm] exact norm_of_mem_sphere #align behrend.add_salem_spencer_sphere Behrend.threeAPFree_sphere theorem threeAPFree_image_sphere : ThreeAPFree ((sphere n d k).image (map (2 * d - 1)) : Set ℕ) := by rw [coe_image] apply ThreeAPFree.image' (α := Fin n → ℕ) (β := ℕ) (s := sphere n d k) (map (2 * d - 1)) (map_injOn.mono _) threeAPFree_sphere · rw [Set.add_subset_iff] rintro a ha b hb i have hai := mem_box.1 (sphere_subset_box ha) i have hbi := mem_box.1 (sphere_subset_box hb) i rw [lt_tsub_iff_right, ← succ_le_iff, two_mul] exact (add_add_add_comm _ _ 1 1).trans_le (_root_.add_le_add hai hbi) · exact x #align behrend.add_salem_spencer_image_sphere Behrend.threeAPFree_image_sphere theorem sum_sq_le_of_mem_box (hx : x ∈ box n d) : ∑ i : Fin n, x i ^ 2 ≤ n * (d - 1) ^ 2 := by rw [mem_box] at hx have : ∀ i, x i ^ 2 ≤ (d - 1) ^ 2 := fun i => Nat.pow_le_pow_left (Nat.le_sub_one_of_lt (hx i)) _ exact (sum_le_card_nsmul univ _ _ fun i _ => this i).trans (by rw [card_fin, smul_eq_mul]) #align behrend.sum_sq_le_of_mem_box Behrend.sum_sq_le_of_mem_box
Mathlib/Combinatorics/Additive/AP/Three/Behrend.lean
226
229
theorem sum_eq : (∑ i : Fin n, d * (2 * d + 1) ^ (i : ℕ)) = ((2 * d + 1) ^ n - 1) / 2 := by
refine (Nat.div_eq_of_eq_mul_left zero_lt_two ?_).symm rw [← sum_range fun i => d * (2 * d + 1) ^ (i : ℕ), ← mul_sum, mul_right_comm, mul_comm d, ← geom_sum_mul_add, add_tsub_cancel_right, mul_comm]
import Mathlib.Analysis.Calculus.Deriv.Comp import Mathlib.Analysis.Calculus.FDeriv.Equiv #align_import analysis.calculus.deriv.inverse from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} theorem HasStrictDerivAt.hasStrictFDerivAt_equiv {f : 𝕜 → 𝕜} {f' x : 𝕜} (hf : HasStrictDerivAt f f' x) (hf' : f' ≠ 0) : HasStrictFDerivAt f (ContinuousLinearEquiv.unitsEquivAut 𝕜 (Units.mk0 f' hf') : 𝕜 →L[𝕜] 𝕜) x := hf #align has_strict_deriv_at.has_strict_fderiv_at_equiv HasStrictDerivAt.hasStrictFDerivAt_equiv theorem HasDerivAt.hasFDerivAt_equiv {f : 𝕜 → 𝕜} {f' x : 𝕜} (hf : HasDerivAt f f' x) (hf' : f' ≠ 0) : HasFDerivAt f (ContinuousLinearEquiv.unitsEquivAut 𝕜 (Units.mk0 f' hf') : 𝕜 →L[𝕜] 𝕜) x := hf #align has_deriv_at.has_fderiv_at_equiv HasDerivAt.hasFDerivAt_equiv theorem HasStrictDerivAt.of_local_left_inverse {f g : 𝕜 → 𝕜} {f' a : 𝕜} (hg : ContinuousAt g a) (hf : HasStrictDerivAt f f' (g a)) (hf' : f' ≠ 0) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) : HasStrictDerivAt g f'⁻¹ a := (hf.hasStrictFDerivAt_equiv hf').of_local_left_inverse hg hfg #align has_strict_deriv_at.of_local_left_inverse HasStrictDerivAt.of_local_left_inverse theorem PartialHomeomorph.hasStrictDerivAt_symm (f : PartialHomeomorph 𝕜 𝕜) {a f' : 𝕜} (ha : a ∈ f.target) (hf' : f' ≠ 0) (htff' : HasStrictDerivAt f f' (f.symm a)) : HasStrictDerivAt f.symm f'⁻¹ a := htff'.of_local_left_inverse (f.symm.continuousAt ha) hf' (f.eventually_right_inverse ha) #align local_homeomorph.has_strict_deriv_at_symm PartialHomeomorph.hasStrictDerivAt_symm theorem HasDerivAt.of_local_left_inverse {f g : 𝕜 → 𝕜} {f' a : 𝕜} (hg : ContinuousAt g a) (hf : HasDerivAt f f' (g a)) (hf' : f' ≠ 0) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) : HasDerivAt g f'⁻¹ a := (hf.hasFDerivAt_equiv hf').of_local_left_inverse hg hfg #align has_deriv_at.of_local_left_inverse HasDerivAt.of_local_left_inverse theorem PartialHomeomorph.hasDerivAt_symm (f : PartialHomeomorph 𝕜 𝕜) {a f' : 𝕜} (ha : a ∈ f.target) (hf' : f' ≠ 0) (htff' : HasDerivAt f f' (f.symm a)) : HasDerivAt f.symm f'⁻¹ a := htff'.of_local_left_inverse (f.symm.continuousAt ha) hf' (f.eventually_right_inverse ha) #align local_homeomorph.has_deriv_at_symm PartialHomeomorph.hasDerivAt_symm theorem HasDerivAt.eventually_ne (h : HasDerivAt f f' x) (hf' : f' ≠ 0) : ∀ᶠ z in 𝓝[≠] x, f z ≠ f x := (hasDerivAt_iff_hasFDerivAt.1 h).eventually_ne ⟨‖f'‖⁻¹, fun z => by field_simp [norm_smul, mt norm_eq_zero.1 hf']⟩ #align has_deriv_at.eventually_ne HasDerivAt.eventually_ne theorem HasDerivAt.tendsto_punctured_nhds (h : HasDerivAt f f' x) (hf' : f' ≠ 0) : Tendsto f (𝓝[≠] x) (𝓝[≠] f x) := tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.continuousAt.continuousWithinAt (h.eventually_ne hf') #align has_deriv_at.tendsto_punctured_nhds HasDerivAt.tendsto_punctured_nhds theorem not_differentiableWithinAt_of_local_left_inverse_hasDerivWithinAt_zero {f g : 𝕜 → 𝕜} {a : 𝕜} {s t : Set 𝕜} (ha : a ∈ s) (hsu : UniqueDiffWithinAt 𝕜 s a) (hf : HasDerivWithinAt f 0 t (g a)) (hst : MapsTo g s t) (hfg : f ∘ g =ᶠ[𝓝[s] a] id) : ¬DifferentiableWithinAt 𝕜 g s a := by intro hg have := (hf.comp a hg.hasDerivWithinAt hst).congr_of_eventuallyEq_of_mem hfg.symm ha simpa using hsu.eq_deriv _ this (hasDerivWithinAt_id _ _) #align not_differentiable_within_at_of_local_left_inverse_has_deriv_within_at_zero not_differentiableWithinAt_of_local_left_inverse_hasDerivWithinAt_zero
Mathlib/Analysis/Calculus/Deriv/Inverse.lean
120
124
theorem not_differentiableAt_of_local_left_inverse_hasDerivAt_zero {f g : 𝕜 → 𝕜} {a : 𝕜} (hf : HasDerivAt f 0 (g a)) (hfg : f ∘ g =ᶠ[𝓝 a] id) : ¬DifferentiableAt 𝕜 g a := by
intro hg have := (hf.comp a hg.hasDerivAt).congr_of_eventuallyEq hfg.symm simpa using this.unique (hasDerivAt_id a)
import Mathlib.Analysis.Normed.Field.Basic import Mathlib.Analysis.Normed.Group.InfiniteSum import Mathlib.Topology.Algebra.InfiniteSum.Real #align_import analysis.normed.field.infinite_sum from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" variable {R : Type*} {ι : Type*} {ι' : Type*} [NormedRing R] open scoped Classical open Finset theorem Summable.mul_of_nonneg {f : ι → ℝ} {g : ι' → ℝ} (hf : Summable f) (hg : Summable g) (hf' : 0 ≤ f) (hg' : 0 ≤ g) : Summable fun x : ι × ι' => f x.1 * g x.2 := (summable_prod_of_nonneg fun _ ↦ mul_nonneg (hf' _) (hg' _)).2 ⟨fun x ↦ hg.mul_left (f x), by simpa only [hg.tsum_mul_left _] using hf.mul_right (∑' x, g x)⟩ #align summable.mul_of_nonneg Summable.mul_of_nonneg theorem Summable.mul_norm {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => ‖f x.1 * g x.2‖ := .of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun x => norm_mul_le (f x.1) (g x.2)) (hf.mul_of_nonneg hg (fun x => norm_nonneg <| f x) fun x => norm_nonneg <| g x : _) #align summable.mul_norm Summable.mul_norm theorem summable_mul_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun x : ι × ι' => f x.1 * g x.2 := (hf.mul_norm hg).of_norm #align summable_mul_of_summable_norm summable_mul_of_summable_norm theorem tsum_mul_tsum_of_summable_norm [CompleteSpace R] {f : ι → R} {g : ι' → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' x, f x) * ∑' y, g y) = ∑' z : ι × ι', f z.1 * g z.2 := tsum_mul_tsum hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_of_summable_norm tsum_mul_tsum_of_summable_norm section Nat open Finset.Nat theorem summable_norm_sum_mul_antidiagonal_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ := by have := summable_sum_mul_antidiagonal_of_summable_mul (Summable.mul_of_nonneg hf hg (fun _ => norm_nonneg _) fun _ => norm_nonneg _) refine this.of_nonneg_of_le (fun _ => norm_nonneg _) (fun n ↦ ?_) calc ‖∑ kl ∈ antidiagonal n, f kl.1 * g kl.2‖ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1 * g kl.2‖ := norm_sum_le _ _ _ ≤ ∑ kl ∈ antidiagonal n, ‖f kl.1‖ * ‖g kl.2‖ := by gcongr; apply norm_mul_le #align summable_norm_sum_mul_antidiagonal_of_summable_norm summable_norm_sum_mul_antidiagonal_of_summable_norm theorem tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm [CompleteSpace R] {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' n, f n) * ∑' n, g n) = ∑' n, ∑ kl ∈ antidiagonal n, f kl.1 * g kl.2 := tsum_mul_tsum_eq_tsum_sum_antidiagonal hf.of_norm hg.of_norm (summable_mul_of_summable_norm hf hg) #align tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm theorem summable_norm_sum_mul_range_of_summable_norm {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : Summable fun n => ‖∑ k ∈ range (n + 1), f k * g (n - k)‖ := by simp_rw [← sum_antidiagonal_eq_sum_range_succ fun k l => f k * g l] exact summable_norm_sum_mul_antidiagonal_of_summable_norm hf hg #align summable_norm_sum_mul_range_of_summable_norm summable_norm_sum_mul_range_of_summable_norm
Mathlib/Analysis/Normed/Field/InfiniteSum.lean
106
110
theorem tsum_mul_tsum_eq_tsum_sum_range_of_summable_norm [CompleteSpace R] {f g : ℕ → R} (hf : Summable fun x => ‖f x‖) (hg : Summable fun x => ‖g x‖) : ((∑' n, f n) * ∑' n, g n) = ∑' n, ∑ k ∈ range (n + 1), f k * g (n - k) := by
simp_rw [← sum_antidiagonal_eq_sum_range_succ fun k l => f k * g l] exact tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm hf hg
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section GeneralizedCoheytingAlgebra variable [GeneralizedCoheytingAlgebra α] (a b c d : α) @[simp] theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b := rfl #align to_dual_symm_diff toDual_symmDiff @[simp] theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b := rfl #align of_dual_bihimp ofDual_bihimp theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm] #align symm_diff_comm symmDiff_comm instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) := ⟨symmDiff_comm⟩ #align symm_diff_is_comm symmDiff_isCommutative @[simp] theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self] #align symm_diff_self symmDiff_self @[simp] theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq] #align symm_diff_bot symmDiff_bot @[simp] theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot] #align bot_symm_diff bot_symmDiff @[simp] theorem symmDiff_eq_bot {a b : α} : a ∆ b = ⊥ ↔ a = b := by simp_rw [symmDiff, sup_eq_bot_iff, sdiff_eq_bot_iff, le_antisymm_iff] #align symm_diff_eq_bot symmDiff_eq_bot theorem symmDiff_of_le {a b : α} (h : a ≤ b) : a ∆ b = b \ a := by rw [symmDiff, sdiff_eq_bot_iff.2 h, bot_sup_eq] #align symm_diff_of_le symmDiff_of_le theorem symmDiff_of_ge {a b : α} (h : b ≤ a) : a ∆ b = a \ b := by rw [symmDiff, sdiff_eq_bot_iff.2 h, sup_bot_eq] #align symm_diff_of_ge symmDiff_of_ge theorem symmDiff_le {a b c : α} (ha : a ≤ b ⊔ c) (hb : b ≤ a ⊔ c) : a ∆ b ≤ c := sup_le (sdiff_le_iff.2 ha) <| sdiff_le_iff.2 hb #align symm_diff_le symmDiff_le theorem symmDiff_le_iff {a b c : α} : a ∆ b ≤ c ↔ a ≤ b ⊔ c ∧ b ≤ a ⊔ c := by simp_rw [symmDiff, sup_le_iff, sdiff_le_iff] #align symm_diff_le_iff symmDiff_le_iff @[simp] theorem symmDiff_le_sup {a b : α} : a ∆ b ≤ a ⊔ b := sup_le_sup sdiff_le sdiff_le #align symm_diff_le_sup symmDiff_le_sup theorem symmDiff_eq_sup_sdiff_inf : a ∆ b = (a ⊔ b) \ (a ⊓ b) := by simp [sup_sdiff, symmDiff] #align symm_diff_eq_sup_sdiff_inf symmDiff_eq_sup_sdiff_inf theorem Disjoint.symmDiff_eq_sup {a b : α} (h : Disjoint a b) : a ∆ b = a ⊔ b := by rw [symmDiff, h.sdiff_eq_left, h.sdiff_eq_right] #align disjoint.symm_diff_eq_sup Disjoint.symmDiff_eq_sup theorem symmDiff_sdiff : a ∆ b \ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) := by rw [symmDiff, sup_sdiff_distrib, sdiff_sdiff_left, sdiff_sdiff_left] #align symm_diff_sdiff symmDiff_sdiff @[simp] theorem symmDiff_sdiff_inf : a ∆ b \ (a ⊓ b) = a ∆ b := by rw [symmDiff_sdiff] simp [symmDiff] #align symm_diff_sdiff_inf symmDiff_sdiff_inf @[simp] theorem symmDiff_sdiff_eq_sup : a ∆ (b \ a) = a ⊔ b := by rw [symmDiff, sdiff_idem] exact le_antisymm (sup_le_sup sdiff_le sdiff_le) (sup_le le_sdiff_sup <| le_sdiff_sup.trans <| sup_le le_sup_right le_sdiff_sup) #align symm_diff_sdiff_eq_sup symmDiff_sdiff_eq_sup @[simp] theorem sdiff_symmDiff_eq_sup : (a \ b) ∆ b = a ⊔ b := by rw [symmDiff_comm, symmDiff_sdiff_eq_sup, sup_comm] #align sdiff_symm_diff_eq_sup sdiff_symmDiff_eq_sup @[simp] theorem symmDiff_sup_inf : a ∆ b ⊔ a ⊓ b = a ⊔ b := by refine le_antisymm (sup_le symmDiff_le_sup inf_le_sup) ?_ rw [sup_inf_left, symmDiff] refine sup_le (le_inf le_sup_right ?_) (le_inf ?_ le_sup_right) · rw [sup_right_comm] exact le_sup_of_le_left le_sdiff_sup · rw [sup_assoc] exact le_sup_of_le_right le_sdiff_sup #align symm_diff_sup_inf symmDiff_sup_inf @[simp] theorem inf_sup_symmDiff : a ⊓ b ⊔ a ∆ b = a ⊔ b := by rw [sup_comm, symmDiff_sup_inf] #align inf_sup_symm_diff inf_sup_symmDiff @[simp] theorem symmDiff_symmDiff_inf : a ∆ b ∆ (a ⊓ b) = a ⊔ b := by rw [← symmDiff_sdiff_inf a, sdiff_symmDiff_eq_sup, symmDiff_sup_inf] #align symm_diff_symm_diff_inf symmDiff_symmDiff_inf @[simp] theorem inf_symmDiff_symmDiff : (a ⊓ b) ∆ (a ∆ b) = a ⊔ b := by rw [symmDiff_comm, symmDiff_symmDiff_inf] #align inf_symm_diff_symm_diff inf_symmDiff_symmDiff
Mathlib/Order/SymmDiff.lean
213
215
theorem symmDiff_triangle : a ∆ c ≤ a ∆ b ⊔ b ∆ c := by
refine (sup_le_sup (sdiff_triangle a b c) <| sdiff_triangle _ b _).trans_eq ?_ rw [sup_comm (c \ b), sup_sup_sup_comm, symmDiff, symmDiff]
import Mathlib.Tactic.Ring import Mathlib.Data.PNat.Prime #align_import data.pnat.xgcd from "leanprover-community/mathlib"@"6afc9b06856ad973f6a2619e3e8a0a8d537a58f2" open Nat namespace PNat structure XgcdType where wp : ℕ x : ℕ y : ℕ zp : ℕ ap : ℕ bp : ℕ deriving Inhabited #align pnat.xgcd_type PNat.XgcdType namespace XgcdType variable (u : XgcdType) instance : SizeOf XgcdType := ⟨fun u => u.bp⟩ instance : Repr XgcdType where reprPrec | g, _ => s!"[[[{repr (g.wp + 1)}, {repr g.x}], \ [{repr g.y}, {repr (g.zp + 1)}]], \ [{repr (g.ap + 1)}, {repr (g.bp + 1)}]]" def mk' (w : ℕ+) (x : ℕ) (y : ℕ) (z : ℕ+) (a : ℕ+) (b : ℕ+) : XgcdType := mk w.val.pred x y z.val.pred a.val.pred b.val.pred #align pnat.xgcd_type.mk' PNat.XgcdType.mk' def w : ℕ+ := succPNat u.wp #align pnat.xgcd_type.w PNat.XgcdType.w def z : ℕ+ := succPNat u.zp #align pnat.xgcd_type.z PNat.XgcdType.z def a : ℕ+ := succPNat u.ap #align pnat.xgcd_type.a PNat.XgcdType.a def b : ℕ+ := succPNat u.bp #align pnat.xgcd_type.b PNat.XgcdType.b def r : ℕ := (u.ap + 1) % (u.bp + 1) #align pnat.xgcd_type.r PNat.XgcdType.r def q : ℕ := (u.ap + 1) / (u.bp + 1) #align pnat.xgcd_type.q PNat.XgcdType.q def qp : ℕ := u.q - 1 #align pnat.xgcd_type.qp PNat.XgcdType.qp def vp : ℕ × ℕ := ⟨u.wp + u.x + u.ap + u.wp * u.ap + u.x * u.bp, u.y + u.zp + u.bp + u.y * u.ap + u.zp * u.bp⟩ #align pnat.xgcd_type.vp PNat.XgcdType.vp def v : ℕ × ℕ := ⟨u.w * u.a + u.x * u.b, u.y * u.a + u.z * u.b⟩ #align pnat.xgcd_type.v PNat.XgcdType.v def succ₂ (t : ℕ × ℕ) : ℕ × ℕ := ⟨t.1.succ, t.2.succ⟩ #align pnat.xgcd_type.succ₂ PNat.XgcdType.succ₂ theorem v_eq_succ_vp : u.v = succ₂ u.vp := by ext <;> dsimp [v, vp, w, z, a, b, succ₂] <;> ring_nf #align pnat.xgcd_type.v_eq_succ_vp PNat.XgcdType.v_eq_succ_vp def IsSpecial : Prop := u.wp + u.zp + u.wp * u.zp = u.x * u.y #align pnat.xgcd_type.is_special PNat.XgcdType.IsSpecial def IsSpecial' : Prop := u.w * u.z = succPNat (u.x * u.y) #align pnat.xgcd_type.is_special' PNat.XgcdType.IsSpecial' theorem isSpecial_iff : u.IsSpecial ↔ u.IsSpecial' := by dsimp [IsSpecial, IsSpecial'] let ⟨wp, x, y, zp, ap, bp⟩ := u constructor <;> intro h <;> simp [w, z, succPNat] at * <;> simp only [← coe_inj, mul_coe, mk_coe] at * · simp_all [← h, Nat.mul, Nat.succ_eq_add_one]; ring · simp [Nat.succ_eq_add_one, Nat.mul_add, Nat.add_mul, ← Nat.add_assoc] at h; rw [← h]; ring -- Porting note: Old code has been removed as it was much more longer. #align pnat.xgcd_type.is_special_iff PNat.XgcdType.isSpecial_iff def IsReduced : Prop := u.ap = u.bp #align pnat.xgcd_type.is_reduced PNat.XgcdType.IsReduced def IsReduced' : Prop := u.a = u.b #align pnat.xgcd_type.is_reduced' PNat.XgcdType.IsReduced' theorem isReduced_iff : u.IsReduced ↔ u.IsReduced' := succPNat_inj.symm #align pnat.xgcd_type.is_reduced_iff PNat.XgcdType.isReduced_iff def flip : XgcdType where wp := u.zp x := u.y y := u.x zp := u.wp ap := u.bp bp := u.ap #align pnat.xgcd_type.flip PNat.XgcdType.flip @[simp] theorem flip_w : (flip u).w = u.z := rfl #align pnat.xgcd_type.flip_w PNat.XgcdType.flip_w @[simp] theorem flip_x : (flip u).x = u.y := rfl #align pnat.xgcd_type.flip_x PNat.XgcdType.flip_x @[simp] theorem flip_y : (flip u).y = u.x := rfl #align pnat.xgcd_type.flip_y PNat.XgcdType.flip_y @[simp] theorem flip_z : (flip u).z = u.w := rfl #align pnat.xgcd_type.flip_z PNat.XgcdType.flip_z @[simp] theorem flip_a : (flip u).a = u.b := rfl #align pnat.xgcd_type.flip_a PNat.XgcdType.flip_a @[simp] theorem flip_b : (flip u).b = u.a := rfl #align pnat.xgcd_type.flip_b PNat.XgcdType.flip_b theorem flip_isReduced : (flip u).IsReduced ↔ u.IsReduced := by dsimp [IsReduced, flip] constructor <;> intro h <;> exact h.symm #align pnat.xgcd_type.flip_is_reduced PNat.XgcdType.flip_isReduced theorem flip_isSpecial : (flip u).IsSpecial ↔ u.IsSpecial := by dsimp [IsSpecial, flip] rw [mul_comm u.x, mul_comm u.zp, add_comm u.zp] #align pnat.xgcd_type.flip_is_special PNat.XgcdType.flip_isSpecial theorem flip_v : (flip u).v = u.v.swap := by dsimp [v] ext · simp only ring · simp only ring #align pnat.xgcd_type.flip_v PNat.XgcdType.flip_v theorem rq_eq : u.r + (u.bp + 1) * u.q = u.ap + 1 := Nat.mod_add_div (u.ap + 1) (u.bp + 1) #align pnat.xgcd_type.rq_eq PNat.XgcdType.rq_eq theorem qp_eq (hr : u.r = 0) : u.q = u.qp + 1 := by by_cases hq : u.q = 0 · let h := u.rq_eq rw [hr, hq, mul_zero, add_zero] at h cases h · exact (Nat.succ_pred_eq_of_pos (Nat.pos_of_ne_zero hq)).symm #align pnat.xgcd_type.qp_eq PNat.XgcdType.qp_eq def start (a b : ℕ+) : XgcdType := ⟨0, 0, 0, 0, a - 1, b - 1⟩ #align pnat.xgcd_type.start PNat.XgcdType.start theorem start_isSpecial (a b : ℕ+) : (start a b).IsSpecial := by dsimp [start, IsSpecial] #align pnat.xgcd_type.start_is_special PNat.XgcdType.start_isSpecial theorem start_v (a b : ℕ+) : (start a b).v = ⟨a, b⟩ := by dsimp [start, v, XgcdType.a, XgcdType.b, w, z] rw [one_mul, one_mul, zero_mul, zero_mul] have := a.pos have := b.pos congr <;> omega #align pnat.xgcd_type.start_v PNat.XgcdType.start_v def finish : XgcdType := XgcdType.mk u.wp ((u.wp + 1) * u.qp + u.x) u.y (u.y * u.qp + u.zp) u.bp u.bp #align pnat.xgcd_type.finish PNat.XgcdType.finish theorem finish_isReduced : u.finish.IsReduced := by dsimp [IsReduced] rfl #align pnat.xgcd_type.finish_is_reduced PNat.XgcdType.finish_isReduced
Mathlib/Data/PNat/Xgcd.lean
280
283
theorem finish_isSpecial (hs : u.IsSpecial) : u.finish.IsSpecial := by
dsimp [IsSpecial, finish] at hs ⊢ rw [add_mul _ _ u.y, add_comm _ (u.x * u.y), ← hs] ring
import Mathlib.Data.List.Infix #align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2" -- Make sure we don't import algebra assert_not_exists Monoid variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ) namespace List def rdrop : List α := l.take (l.length - n) #align list.rdrop List.rdrop @[simp] theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop] #align list.rdrop_nil List.rdrop_nil @[simp] theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop] #align list.rdrop_zero List.rdrop_zero theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by rw [rdrop] induction' l using List.reverseRecOn with xs x IH generalizing n · simp · cases n · simp [take_append] · simp [take_append_eq_append_take, IH] #align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse @[simp] theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by simp [rdrop_eq_reverse_drop_reverse] #align list.rdrop_concat_succ List.rdrop_concat_succ def rtake : List α := l.drop (l.length - n) #align list.rtake List.rtake @[simp] theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake] #align list.rtake_nil List.rtake_nil @[simp] theorem rtake_zero : rtake l 0 = [] := by simp [rtake] #align list.rtake_zero List.rtake_zero theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by rw [rtake] induction' l using List.reverseRecOn with xs x IH generalizing n · simp · cases n · exact drop_length _ · simp [drop_append_eq_append_drop, IH] #align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse @[simp] theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by simp [rtake_eq_reverse_take_reverse] #align list.rtake_concat_succ List.rtake_concat_succ def rdropWhile : List α := reverse (l.reverse.dropWhile p) #align list.rdrop_while List.rdropWhile @[simp] theorem rdropWhile_nil : rdropWhile p ([] : List α) = [] := by simp [rdropWhile, dropWhile] #align list.rdrop_while_nil List.rdropWhile_nil theorem rdropWhile_concat (x : α) : rdropWhile p (l ++ [x]) = if p x then rdropWhile p l else l ++ [x] := by simp only [rdropWhile, dropWhile, reverse_append, reverse_singleton, singleton_append] split_ifs with h <;> simp [h] #align list.rdrop_while_concat List.rdropWhile_concat @[simp] theorem rdropWhile_concat_pos (x : α) (h : p x) : rdropWhile p (l ++ [x]) = rdropWhile p l := by rw [rdropWhile_concat, if_pos h] #align list.rdrop_while_concat_pos List.rdropWhile_concat_pos @[simp] theorem rdropWhile_concat_neg (x : α) (h : ¬p x) : rdropWhile p (l ++ [x]) = l ++ [x] := by rw [rdropWhile_concat, if_neg h] #align list.rdrop_while_concat_neg List.rdropWhile_concat_neg
Mathlib/Data/List/DropRight.lean
121
122
theorem rdropWhile_singleton (x : α) : rdropWhile p [x] = if p x then [] else [x] := by
rw [← nil_append [x], rdropWhile_concat, rdropWhile_nil]
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]
Mathlib/CategoryTheory/Limits/Constructions/ZeroObjects.lean
146
148
theorem inr_coprodZeroIso_hom (X : C) : coprod.inl ≫ (coprodZeroIso X).hom = 𝟙 X := by
dsimp [coprodZeroIso, binaryCofanZeroRight] simp
import Mathlib.Data.List.Forall2 #align_import data.list.zip from "leanprover-community/mathlib"@"134625f523e737f650a6ea7f0c82a6177e45e622" -- Make sure we don't import algebra assert_not_exists Monoid universe u open Nat namespace List variable {α : Type u} {β γ δ ε : Type*} #align list.zip_with_cons_cons List.zipWith_cons_cons #align list.zip_cons_cons List.zip_cons_cons #align list.zip_with_nil_left List.zipWith_nil_left #align list.zip_with_nil_right List.zipWith_nil_right #align list.zip_with_eq_nil_iff List.zipWith_eq_nil_iff #align list.zip_nil_left List.zip_nil_left #align list.zip_nil_right List.zip_nil_right @[simp] theorem zip_swap : ∀ (l₁ : List α) (l₂ : List β), (zip l₁ l₂).map Prod.swap = zip l₂ l₁ | [], l₂ => zip_nil_right.symm | l₁, [] => by rw [zip_nil_right]; rfl | a :: l₁, b :: l₂ => by simp only [zip_cons_cons, map_cons, zip_swap l₁ l₂, Prod.swap_prod_mk] #align list.zip_swap List.zip_swap #align list.length_zip_with List.length_zipWith #align list.length_zip List.length_zip theorem forall_zipWith {f : α → β → γ} {p : γ → Prop} : ∀ {l₁ : List α} {l₂ : List β}, length l₁ = length l₂ → (Forall p (zipWith f l₁ l₂) ↔ Forall₂ (fun x y => p (f x y)) l₁ l₂) | [], [], _ => by simp | a :: l₁, b :: l₂, h => by simp only [length_cons, succ_inj'] at h simp [forall_zipWith h] #align list.all₂_zip_with List.forall_zipWith theorem lt_length_left_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β} (h : i < (zipWith f l l').length) : i < l.length := by rw [length_zipWith] at h; omega #align list.lt_length_left_of_zip_with List.lt_length_left_of_zipWith theorem lt_length_right_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β} (h : i < (zipWith f l l').length) : i < l'.length := by rw [length_zipWith] at h; omega #align list.lt_length_right_of_zip_with List.lt_length_right_of_zipWith theorem lt_length_left_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) : i < l.length := lt_length_left_of_zipWith h #align list.lt_length_left_of_zip List.lt_length_left_of_zip theorem lt_length_right_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) : i < l'.length := lt_length_right_of_zipWith h #align list.lt_length_right_of_zip List.lt_length_right_of_zip #align list.zip_append List.zip_append #align list.zip_map List.zip_map #align list.zip_map_left List.zip_map_left #align list.zip_map_right List.zip_map_right #align list.zip_with_map List.zipWith_map #align list.zip_with_map_left List.zipWith_map_left #align list.zip_with_map_right List.zipWith_map_right #align list.zip_map' List.zip_map' #align list.map_zip_with List.map_zipWith theorem mem_zip {a b} : ∀ {l₁ : List α} {l₂ : List β}, (a, b) ∈ zip l₁ l₂ → a ∈ l₁ ∧ b ∈ l₂ | _ :: l₁, _ :: l₂, h => by cases' h with _ _ _ h · simp · have := mem_zip h exact ⟨Mem.tail _ this.1, Mem.tail _ this.2⟩ #align list.mem_zip List.mem_zip #align list.map_fst_zip List.map_fst_zip #align list.map_snd_zip List.map_snd_zip #align list.unzip_nil List.unzip_nil #align list.unzip_cons List.unzip_cons theorem unzip_eq_map : ∀ l : List (α × β), unzip l = (l.map Prod.fst, l.map Prod.snd) | [] => rfl | (a, b) :: l => by simp only [unzip_cons, map_cons, unzip_eq_map l] #align list.unzip_eq_map List.unzip_eq_map
Mathlib/Data/List/Zip.lean
109
109
theorem unzip_left (l : List (α × β)) : (unzip l).1 = l.map Prod.fst := by
simp only [unzip_eq_map]
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
Mathlib/Data/Set/Lattice.lean
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theorem nonempty_iInter₂ {s : ∀ i, κ i → Set α} : (⋂ (i) (j), s i j).Nonempty ↔ ∃ a, ∀ i j, a ∈ s i j := by
simp
import Mathlib.Algebra.Ring.Parity import Mathlib.Combinatorics.SimpleGraph.Connectivity #align_import combinatorics.simple_graph.trails from "leanprover-community/mathlib"@"edaaaa4a5774e6623e0ddd919b2f2db49c65add4" namespace SimpleGraph variable {V : Type*} {G : SimpleGraph V} namespace Walk abbrev IsTrail.edgesFinset {u v : V} {p : G.Walk u v} (h : p.IsTrail) : Finset (Sym2 V) := ⟨p.edges, h.edges_nodup⟩ #align simple_graph.walk.is_trail.edges_finset SimpleGraph.Walk.IsTrail.edgesFinset variable [DecidableEq V] theorem IsTrail.even_countP_edges_iff {u v : V} {p : G.Walk u v} (ht : p.IsTrail) (x : V) : Even (p.edges.countP fun e => x ∈ e) ↔ u ≠ v → x ≠ u ∧ x ≠ v := by induction' p with u u v w huv p ih · simp · rw [cons_isTrail_iff] at ht specialize ih ht.1 simp only [List.countP_cons, Ne, edges_cons, Sym2.mem_iff] split_ifs with h · rw [decide_eq_true_eq] at h obtain (rfl | rfl) := h · rw [Nat.even_add_one, ih] simp only [huv.ne, imp_false, Ne, not_false_iff, true_and_iff, not_forall, Classical.not_not, exists_prop, eq_self_iff_true, not_true, false_and_iff, and_iff_right_iff_imp] rintro rfl rfl exact G.loopless _ huv · rw [Nat.even_add_one, ih, ← not_iff_not] simp only [huv.ne.symm, Ne, eq_self_iff_true, not_true, false_and_iff, not_forall, not_false_iff, exists_prop, and_true_iff, Classical.not_not, true_and_iff, iff_and_self] rintro rfl exact huv.ne · rw [decide_eq_true_eq, not_or] at h simp only [h.1, h.2, not_false_iff, true_and_iff, add_zero, Ne] at ih ⊢ rw [ih] constructor <;> · rintro h' h'' rfl simp only [imp_false, eq_self_iff_true, not_true, Classical.not_not] at h' cases h' simp only [not_true, and_false, false_and] at h #align simple_graph.walk.is_trail.even_countp_edges_iff SimpleGraph.Walk.IsTrail.even_countP_edges_iff def IsEulerian {u v : V} (p : G.Walk u v) : Prop := ∀ e, e ∈ G.edgeSet → p.edges.count e = 1 #align simple_graph.walk.is_eulerian SimpleGraph.Walk.IsEulerian theorem IsEulerian.isTrail {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : p.IsTrail := by rw [isTrail_def, List.nodup_iff_count_le_one] intro e by_cases he : e ∈ p.edges · exact (h e (edges_subset_edgeSet _ he)).le · simp [he] #align simple_graph.walk.is_eulerian.is_trail SimpleGraph.Walk.IsEulerian.isTrail theorem IsEulerian.mem_edges_iff {u v : V} {p : G.Walk u v} (h : p.IsEulerian) {e : Sym2 V} : e ∈ p.edges ↔ e ∈ G.edgeSet := ⟨ fun h => p.edges_subset_edgeSet h , fun he => by simpa [Nat.succ_le] using (h e he).ge ⟩ #align simple_graph.walk.is_eulerian.mem_edges_iff SimpleGraph.Walk.IsEulerian.mem_edges_iff def IsEulerian.fintypeEdgeSet {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : Fintype G.edgeSet := Fintype.ofFinset h.isTrail.edgesFinset fun e => by simp only [Finset.mem_mk, Multiset.mem_coe, h.mem_edges_iff] #align simple_graph.walk.is_eulerian.fintype_edge_set SimpleGraph.Walk.IsEulerian.fintypeEdgeSet theorem IsTrail.isEulerian_of_forall_mem {u v : V} {p : G.Walk u v} (h : p.IsTrail) (hc : ∀ e, e ∈ G.edgeSet → e ∈ p.edges) : p.IsEulerian := fun e he => List.count_eq_one_of_mem h.edges_nodup (hc e he) #align simple_graph.walk.is_trail.is_eulerian_of_forall_mem SimpleGraph.Walk.IsTrail.isEulerian_of_forall_mem theorem isEulerian_iff {u v : V} (p : G.Walk u v) : p.IsEulerian ↔ p.IsTrail ∧ ∀ e, e ∈ G.edgeSet → e ∈ p.edges := by constructor · intro h exact ⟨h.isTrail, fun _ => h.mem_edges_iff.mpr⟩ · rintro ⟨h, hl⟩ exact h.isEulerian_of_forall_mem hl #align simple_graph.walk.is_eulerian_iff SimpleGraph.Walk.isEulerian_iff theorem IsEulerian.edgesFinset_eq [Fintype G.edgeSet] {u v : V} {p : G.Walk u v} (h : p.IsEulerian) : h.isTrail.edgesFinset = G.edgeFinset := by ext e simp [h.mem_edges_iff] #align simple_graph.walk.is_eulerian.edges_finset_eq SimpleGraph.Walk.IsEulerian.edgesFinset_eq theorem IsEulerian.even_degree_iff {x u v : V} {p : G.Walk u v} (ht : p.IsEulerian) [Fintype V] [DecidableRel G.Adj] : Even (G.degree x) ↔ u ≠ v → x ≠ u ∧ x ≠ v := by convert ht.isTrail.even_countP_edges_iff x rw [← Multiset.coe_countP, Multiset.countP_eq_card_filter, ← card_incidenceFinset_eq_degree] change Multiset.card _ = _ congr 1 convert_to _ = (ht.isTrail.edgesFinset.filter (Membership.mem x)).val have : Fintype G.edgeSet := fintypeEdgeSet ht rw [ht.edgesFinset_eq, G.incidenceFinset_eq_filter x] #align simple_graph.walk.is_eulerian.even_degree_iff SimpleGraph.Walk.IsEulerian.even_degree_iff
Mathlib/Combinatorics/SimpleGraph/Trails.lean
145
160
theorem IsEulerian.card_filter_odd_degree [Fintype V] [DecidableRel G.Adj] {u v : V} {p : G.Walk u v} (ht : p.IsEulerian) {s} (h : s = (Finset.univ : Finset V).filter fun v => Odd (G.degree v)) : s.card = 0 ∨ s.card = 2 := by
subst s simp only [Nat.odd_iff_not_even, Finset.card_eq_zero] simp only [ht.even_degree_iff, Ne, not_forall, not_and, Classical.not_not, exists_prop] obtain rfl | hn := eq_or_ne u v · left simp · right convert_to _ = ({u, v} : Finset V).card · simp [hn] · congr ext x simp [hn, imp_iff_not_or]
import Mathlib.FieldTheory.Minpoly.Field #align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f" open Polynomial open Polynomial variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S] variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B] variable {K : Type*} [Field K] -- Porting note(#5171): this linter isn't ported yet. -- @[nolint has_nonempty_instance] structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where gen : S dim : ℕ basis : Basis (Fin dim) R S basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ) #align power_basis PowerBasis -- this is usually not needed because of `basis_eq_pow` but can be needed in some cases; -- in such circumstances, add it manually using `@[simps dim gen basis]`. initialize_simps_projections PowerBasis (-basis) namespace PowerBasis @[simp] theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) := funext pb.basis_eq_pow #align power_basis.coe_basis PowerBasis.coe_basis theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis #align power_basis.finite_dimensional PowerBasis.finite @[deprecated] alias finiteDimensional := PowerBasis.finite theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) : FiniteDimensional.finrank R S = pb.dim := by rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin] #align power_basis.finrank PowerBasis.finrank theorem mem_span_pow' {x y : S} {d : ℕ} : y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔ ∃ f : R[X], f.degree < d ∧ y = aeval x f := by have : (Set.range fun i : Fin d => x ^ (i : ℕ)) = (fun i : ℕ => x ^ i) '' ↑(Finset.range d) := by ext n simp_rw [Set.mem_range, Set.mem_image, Finset.mem_coe, Finset.mem_range] exact ⟨fun ⟨⟨i, hi⟩, hy⟩ => ⟨i, hi, hy⟩, fun ⟨i, hi, hy⟩ => ⟨⟨i, hi⟩, hy⟩⟩ simp only [this, Finsupp.mem_span_image_iff_total, degree_lt_iff_coeff_zero, support, exists_iff_exists_finsupp, coeff, aeval_def, eval₂RingHom', eval₂_eq_sum, Polynomial.sum, Finsupp.mem_supported', Finsupp.total, Finsupp.sum, Algebra.smul_def, eval₂_zero, exists_prop, LinearMap.id_coe, eval₂_one, id, not_lt, Finsupp.coe_lsum, LinearMap.coe_smulRight, Finset.mem_range, AlgHom.coe_mks, Finset.mem_coe] simp_rw [@eq_comm _ y] exact Iff.rfl #align power_basis.mem_span_pow' PowerBasis.mem_span_pow' theorem mem_span_pow {x y : S} {d : ℕ} (hd : d ≠ 0) : y ∈ Submodule.span R (Set.range fun i : Fin d => x ^ (i : ℕ)) ↔ ∃ f : R[X], f.natDegree < d ∧ y = aeval x f := by rw [mem_span_pow'] constructor <;> · rintro ⟨f, h, hy⟩ refine ⟨f, ?_, hy⟩ by_cases hf : f = 0 · simp only [hf, natDegree_zero, degree_zero] at h ⊢ first | exact lt_of_le_of_ne (Nat.zero_le d) hd.symm | exact WithBot.bot_lt_coe d simp_all only [degree_eq_natDegree hf] · first | exact WithBot.coe_lt_coe.1 h | exact WithBot.coe_lt_coe.2 h #align power_basis.mem_span_pow PowerBasis.mem_span_pow theorem dim_ne_zero [Nontrivial S] (pb : PowerBasis R S) : pb.dim ≠ 0 := fun h => not_nonempty_iff.mpr (h.symm ▸ Fin.isEmpty : IsEmpty (Fin pb.dim)) pb.basis.index_nonempty #align power_basis.dim_ne_zero PowerBasis.dim_ne_zero theorem dim_pos [Nontrivial S] (pb : PowerBasis R S) : 0 < pb.dim := Nat.pos_of_ne_zero pb.dim_ne_zero #align power_basis.dim_pos PowerBasis.dim_pos theorem exists_eq_aeval [Nontrivial S] (pb : PowerBasis R S) (y : S) : ∃ f : R[X], f.natDegree < pb.dim ∧ y = aeval pb.gen f := (mem_span_pow pb.dim_ne_zero).mp (by simpa using pb.basis.mem_span y) #align power_basis.exists_eq_aeval PowerBasis.exists_eq_aeval theorem exists_eq_aeval' (pb : PowerBasis R S) (y : S) : ∃ f : R[X], y = aeval pb.gen f := by nontriviality S obtain ⟨f, _, hf⟩ := exists_eq_aeval pb y exact ⟨f, hf⟩ #align power_basis.exists_eq_aeval' PowerBasis.exists_eq_aeval' theorem algHom_ext {S' : Type*} [Semiring S'] [Algebra R S'] (pb : PowerBasis R S) ⦃f g : S →ₐ[R] S'⦄ (h : f pb.gen = g pb.gen) : f = g := by ext x obtain ⟨f, rfl⟩ := pb.exists_eq_aeval' x rw [← Polynomial.aeval_algHom_apply, ← Polynomial.aeval_algHom_apply, h] #align power_basis.alg_hom_ext PowerBasis.algHom_ext section minpoly variable [Algebra A S] noncomputable def minpolyGen (pb : PowerBasis A S) : A[X] := X ^ pb.dim - ∑ i : Fin pb.dim, C (pb.basis.repr (pb.gen ^ pb.dim) i) * X ^ (i : ℕ) #align power_basis.minpoly_gen PowerBasis.minpolyGen theorem aeval_minpolyGen (pb : PowerBasis A S) : aeval pb.gen (minpolyGen pb) = 0 := by simp_rw [minpolyGen, AlgHom.map_sub, AlgHom.map_sum, AlgHom.map_mul, AlgHom.map_pow, aeval_C, ← Algebra.smul_def, aeval_X] refine sub_eq_zero.mpr ((pb.basis.total_repr (pb.gen ^ pb.dim)).symm.trans ?_) rw [Finsupp.total_apply, Finsupp.sum_fintype] <;> simp only [pb.coe_basis, zero_smul, eq_self_iff_true, imp_true_iff] #align power_basis.aeval_minpoly_gen PowerBasis.aeval_minpolyGen
Mathlib/RingTheory/PowerBasis.lean
162
166
theorem minpolyGen_monic (pb : PowerBasis A S) : Monic (minpolyGen pb) := by
nontriviality A apply (monic_X_pow _).sub_of_left _ rw [degree_X_pow] exact degree_sum_fin_lt _
import Mathlib.Algebra.Order.Module.OrderedSMul import Mathlib.Analysis.Convex.Star import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace #align_import analysis.convex.basic from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" variable {𝕜 E F β : Type*} open LinearMap Set open scoped Convex Pointwise section OrderedSemiring variable [OrderedSemiring 𝕜] section AddCommMonoid variable [AddCommMonoid E] [AddCommMonoid F] section SMul variable (𝕜) [SMul 𝕜 E] [SMul 𝕜 F] (s : Set E) {x : E} def Convex : Prop := ∀ ⦃x : E⦄, x ∈ s → StarConvex 𝕜 x s #align convex Convex variable {𝕜 s} theorem Convex.starConvex (hs : Convex 𝕜 s) (hx : x ∈ s) : StarConvex 𝕜 x s := hs hx #align convex.star_convex Convex.starConvex theorem convex_iff_segment_subset : Convex 𝕜 s ↔ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → [x -[𝕜] y] ⊆ s := forall₂_congr fun _ _ => starConvex_iff_segment_subset #align convex_iff_segment_subset convex_iff_segment_subset theorem Convex.segment_subset (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) : [x -[𝕜] y] ⊆ s := convex_iff_segment_subset.1 h hx hy #align convex.segment_subset Convex.segment_subset theorem Convex.openSegment_subset (h : Convex 𝕜 s) {x y : E} (hx : x ∈ s) (hy : y ∈ s) : openSegment 𝕜 x y ⊆ s := (openSegment_subset_segment 𝕜 x y).trans (h.segment_subset hx hy) #align convex.open_segment_subset Convex.openSegment_subset theorem convex_iff_pointwise_add_subset : Convex 𝕜 s ↔ ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • s + b • s ⊆ s := Iff.intro (by rintro hA a b ha hb hab w ⟨au, ⟨u, hu, rfl⟩, bv, ⟨v, hv, rfl⟩, rfl⟩ exact hA hu hv ha hb hab) fun h x hx y hy a b ha hb hab => (h ha hb hab) (Set.add_mem_add ⟨_, hx, rfl⟩ ⟨_, hy, rfl⟩) #align convex_iff_pointwise_add_subset convex_iff_pointwise_add_subset alias ⟨Convex.set_combo_subset, _⟩ := convex_iff_pointwise_add_subset #align convex.set_combo_subset Convex.set_combo_subset theorem convex_empty : Convex 𝕜 (∅ : Set E) := fun _ => False.elim #align convex_empty convex_empty theorem convex_univ : Convex 𝕜 (Set.univ : Set E) := fun _ _ => starConvex_univ _ #align convex_univ convex_univ theorem Convex.inter {t : Set E} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s ∩ t) := fun _ hx => (hs hx.1).inter (ht hx.2) #align convex.inter Convex.inter theorem convex_sInter {S : Set (Set E)} (h : ∀ s ∈ S, Convex 𝕜 s) : Convex 𝕜 (⋂₀ S) := fun _ hx => starConvex_sInter fun _ hs => h _ hs <| hx _ hs #align convex_sInter convex_sInter theorem convex_iInter {ι : Sort*} {s : ι → Set E} (h : ∀ i, Convex 𝕜 (s i)) : Convex 𝕜 (⋂ i, s i) := sInter_range s ▸ convex_sInter <| forall_mem_range.2 h #align convex_Inter convex_iInter theorem convex_iInter₂ {ι : Sort*} {κ : ι → Sort*} {s : ∀ i, κ i → Set E} (h : ∀ i j, Convex 𝕜 (s i j)) : Convex 𝕜 (⋂ (i) (j), s i j) := convex_iInter fun i => convex_iInter <| h i #align convex_Inter₂ convex_iInter₂ theorem Convex.prod {s : Set E} {t : Set F} (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) : Convex 𝕜 (s ×ˢ t) := fun _ hx => (hs hx.1).prod (ht hx.2) #align convex.prod Convex.prod theorem convex_pi {ι : Type*} {E : ι → Type*} [∀ i, AddCommMonoid (E i)] [∀ i, SMul 𝕜 (E i)] {s : Set ι} {t : ∀ i, Set (E i)} (ht : ∀ ⦃i⦄, i ∈ s → Convex 𝕜 (t i)) : Convex 𝕜 (s.pi t) := fun _ hx => starConvex_pi fun _ hi => ht hi <| hx _ hi #align convex_pi convex_pi theorem Directed.convex_iUnion {ι : Sort*} {s : ι → Set E} (hdir : Directed (· ⊆ ·) s) (hc : ∀ ⦃i : ι⦄, Convex 𝕜 (s i)) : Convex 𝕜 (⋃ i, s i) := by rintro x hx y hy a b ha hb hab rw [mem_iUnion] at hx hy ⊢ obtain ⟨i, hx⟩ := hx obtain ⟨j, hy⟩ := hy obtain ⟨k, hik, hjk⟩ := hdir i j exact ⟨k, hc (hik hx) (hjk hy) ha hb hab⟩ #align directed.convex_Union Directed.convex_iUnion
Mathlib/Analysis/Convex/Basic.lean
131
134
theorem DirectedOn.convex_sUnion {c : Set (Set E)} (hdir : DirectedOn (· ⊆ ·) c) (hc : ∀ ⦃A : Set E⦄, A ∈ c → Convex 𝕜 A) : Convex 𝕜 (⋃₀ c) := by
rw [sUnion_eq_iUnion] exact (directedOn_iff_directed.1 hdir).convex_iUnion fun A => hc A.2
import Mathlib.Logic.Function.Basic import Mathlib.Logic.Relator import Mathlib.Init.Data.Quot import Mathlib.Tactic.Cases import Mathlib.Tactic.Use import Mathlib.Tactic.MkIffOfInductiveProp import Mathlib.Tactic.SimpRw #align_import logic.relation from "leanprover-community/mathlib"@"3365b20c2ffa7c35e47e5209b89ba9abdddf3ffe" open Function variable {α β γ δ ε ζ : Type*} namespace Relation section Comp variable {r : α → β → Prop} {p : β → γ → Prop} {q : γ → δ → Prop} def Comp (r : α → β → Prop) (p : β → γ → Prop) (a : α) (c : γ) : Prop := ∃ b, r a b ∧ p b c #align relation.comp Relation.Comp @[inherit_doc] local infixr:80 " ∘r " => Relation.Comp theorem comp_eq : r ∘r (· = ·) = r := funext fun _ ↦ funext fun b ↦ propext <| Iff.intro (fun ⟨_, h, Eq⟩ ↦ Eq ▸ h) fun h ↦ ⟨b, h, rfl⟩ #align relation.comp_eq Relation.comp_eq theorem eq_comp : (· = ·) ∘r r = r := funext fun a ↦ funext fun _ ↦ propext <| Iff.intro (fun ⟨_, Eq, h⟩ ↦ Eq.symm ▸ h) fun h ↦ ⟨a, rfl, h⟩ #align relation.eq_comp Relation.eq_comp
Mathlib/Logic/Relation.lean
149
151
theorem iff_comp {r : Prop → α → Prop} : (· ↔ ·) ∘r r = r := by
have : (· ↔ ·) = (· = ·) := by funext a b; exact iff_eq_eq rw [this, eq_comp]
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio #align ennreal.is_open_Ico_zero ENNReal.isOpen_Ico_zero theorem openEmbedding_coe : OpenEmbedding ((↑) : ℝ≥0 → ℝ≥0∞) := ⟨embedding_coe, by rw [range_coe']; exact isOpen_Iio⟩ #align ennreal.open_embedding_coe ENNReal.openEmbedding_coe theorem coe_range_mem_nhds : range ((↑) : ℝ≥0 → ℝ≥0∞) ∈ 𝓝 (r : ℝ≥0∞) := IsOpen.mem_nhds openEmbedding_coe.isOpen_range <| mem_range_self _ #align ennreal.coe_range_mem_nhds ENNReal.coe_range_mem_nhds @[norm_cast] theorem tendsto_coe {f : Filter α} {m : α → ℝ≥0} {a : ℝ≥0} : Tendsto (fun a => (m a : ℝ≥0∞)) f (𝓝 ↑a) ↔ Tendsto m f (𝓝 a) := embedding_coe.tendsto_nhds_iff.symm #align ennreal.tendsto_coe ENNReal.tendsto_coe theorem continuous_coe : Continuous ((↑) : ℝ≥0 → ℝ≥0∞) := embedding_coe.continuous #align ennreal.continuous_coe ENNReal.continuous_coe theorem continuous_coe_iff {α} [TopologicalSpace α] {f : α → ℝ≥0} : (Continuous fun a => (f a : ℝ≥0∞)) ↔ Continuous f := embedding_coe.continuous_iff.symm #align ennreal.continuous_coe_iff ENNReal.continuous_coe_iff theorem nhds_coe {r : ℝ≥0} : 𝓝 (r : ℝ≥0∞) = (𝓝 r).map (↑) := (openEmbedding_coe.map_nhds_eq r).symm #align ennreal.nhds_coe ENNReal.nhds_coe theorem tendsto_nhds_coe_iff {α : Type*} {l : Filter α} {x : ℝ≥0} {f : ℝ≥0∞ → α} : Tendsto f (𝓝 ↑x) l ↔ Tendsto (f ∘ (↑) : ℝ≥0 → α) (𝓝 x) l := by rw [nhds_coe, tendsto_map'_iff] #align ennreal.tendsto_nhds_coe_iff ENNReal.tendsto_nhds_coe_iff theorem continuousAt_coe_iff {α : Type*} [TopologicalSpace α] {x : ℝ≥0} {f : ℝ≥0∞ → α} : ContinuousAt f ↑x ↔ ContinuousAt (f ∘ (↑) : ℝ≥0 → α) x := tendsto_nhds_coe_iff #align ennreal.continuous_at_coe_iff ENNReal.continuousAt_coe_iff theorem nhds_coe_coe {r p : ℝ≥0} : 𝓝 ((r : ℝ≥0∞), (p : ℝ≥0∞)) = (𝓝 (r, p)).map fun p : ℝ≥0 × ℝ≥0 => (↑p.1, ↑p.2) := ((openEmbedding_coe.prod openEmbedding_coe).map_nhds_eq (r, p)).symm #align ennreal.nhds_coe_coe ENNReal.nhds_coe_coe theorem continuous_ofReal : Continuous ENNReal.ofReal := (continuous_coe_iff.2 continuous_id).comp continuous_real_toNNReal #align ennreal.continuous_of_real ENNReal.continuous_ofReal theorem tendsto_ofReal {f : Filter α} {m : α → ℝ} {a : ℝ} (h : Tendsto m f (𝓝 a)) : Tendsto (fun a => ENNReal.ofReal (m a)) f (𝓝 (ENNReal.ofReal a)) := (continuous_ofReal.tendsto a).comp h #align ennreal.tendsto_of_real ENNReal.tendsto_ofReal theorem tendsto_toNNReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toNNReal (𝓝 a) (𝓝 a.toNNReal) := by lift a to ℝ≥0 using ha rw [nhds_coe, tendsto_map'_iff] exact tendsto_id #align ennreal.tendsto_to_nnreal ENNReal.tendsto_toNNReal theorem eventuallyEq_of_toReal_eventuallyEq {l : Filter α} {f g : α → ℝ≥0∞} (hfi : ∀ᶠ x in l, f x ≠ ∞) (hgi : ∀ᶠ x in l, g x ≠ ∞) (hfg : (fun x => (f x).toReal) =ᶠ[l] fun x => (g x).toReal) : f =ᶠ[l] g := by filter_upwards [hfi, hgi, hfg] with _ hfx hgx _ rwa [← ENNReal.toReal_eq_toReal hfx hgx] #align ennreal.eventually_eq_of_to_real_eventually_eq ENNReal.eventuallyEq_of_toReal_eventuallyEq theorem continuousOn_toNNReal : ContinuousOn ENNReal.toNNReal { a | a ≠ ∞ } := fun _a ha => ContinuousAt.continuousWithinAt (tendsto_toNNReal ha) #align ennreal.continuous_on_to_nnreal ENNReal.continuousOn_toNNReal theorem tendsto_toReal {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto ENNReal.toReal (𝓝 a) (𝓝 a.toReal) := NNReal.tendsto_coe.2 <| tendsto_toNNReal ha #align ennreal.tendsto_to_real ENNReal.tendsto_toReal lemma continuousOn_toReal : ContinuousOn ENNReal.toReal { a | a ≠ ∞ } := NNReal.continuous_coe.comp_continuousOn continuousOn_toNNReal lemma continuousAt_toReal (hx : x ≠ ∞) : ContinuousAt ENNReal.toReal x := continuousOn_toReal.continuousAt (isOpen_ne_top.mem_nhds_iff.mpr hx) def neTopHomeomorphNNReal : { a | a ≠ ∞ } ≃ₜ ℝ≥0 where toEquiv := neTopEquivNNReal continuous_toFun := continuousOn_iff_continuous_restrict.1 continuousOn_toNNReal continuous_invFun := continuous_coe.subtype_mk _ #align ennreal.ne_top_homeomorph_nnreal ENNReal.neTopHomeomorphNNReal def ltTopHomeomorphNNReal : { a | a < ∞ } ≃ₜ ℝ≥0 := by refine (Homeomorph.setCongr ?_).trans neTopHomeomorphNNReal simp only [mem_setOf_eq, lt_top_iff_ne_top] #align ennreal.lt_top_homeomorph_nnreal ENNReal.ltTopHomeomorphNNReal theorem nhds_top : 𝓝 ∞ = ⨅ (a) (_ : a ≠ ∞), 𝓟 (Ioi a) := nhds_top_order.trans <| by simp [lt_top_iff_ne_top, Ioi] #align ennreal.nhds_top ENNReal.nhds_top theorem nhds_top' : 𝓝 ∞ = ⨅ r : ℝ≥0, 𝓟 (Ioi ↑r) := nhds_top.trans <| iInf_ne_top _ #align ennreal.nhds_top' ENNReal.nhds_top' theorem nhds_top_basis : (𝓝 ∞).HasBasis (fun a => a < ∞) fun a => Ioi a := _root_.nhds_top_basis #align ennreal.nhds_top_basis ENNReal.nhds_top_basis theorem tendsto_nhds_top_iff_nnreal {m : α → ℝ≥0∞} {f : Filter α} : Tendsto m f (𝓝 ∞) ↔ ∀ x : ℝ≥0, ∀ᶠ a in f, ↑x < m a := by simp only [nhds_top', tendsto_iInf, tendsto_principal, mem_Ioi] #align ennreal.tendsto_nhds_top_iff_nnreal ENNReal.tendsto_nhds_top_iff_nnreal theorem tendsto_nhds_top_iff_nat {m : α → ℝ≥0∞} {f : Filter α} : Tendsto m f (𝓝 ∞) ↔ ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a := tendsto_nhds_top_iff_nnreal.trans ⟨fun h n => by simpa only [ENNReal.coe_natCast] using h n, fun h x => let ⟨n, hn⟩ := exists_nat_gt x (h n).mono fun y => lt_trans <| by rwa [← ENNReal.coe_natCast, coe_lt_coe]⟩ #align ennreal.tendsto_nhds_top_iff_nat ENNReal.tendsto_nhds_top_iff_nat theorem tendsto_nhds_top {m : α → ℝ≥0∞} {f : Filter α} (h : ∀ n : ℕ, ∀ᶠ a in f, ↑n < m a) : Tendsto m f (𝓝 ∞) := tendsto_nhds_top_iff_nat.2 h #align ennreal.tendsto_nhds_top ENNReal.tendsto_nhds_top theorem tendsto_nat_nhds_top : Tendsto (fun n : ℕ => ↑n) atTop (𝓝 ∞) := tendsto_nhds_top fun n => mem_atTop_sets.2 ⟨n + 1, fun _m hm => mem_setOf.2 <| Nat.cast_lt.2 <| Nat.lt_of_succ_le hm⟩ #align ennreal.tendsto_nat_nhds_top ENNReal.tendsto_nat_nhds_top @[simp, norm_cast] theorem tendsto_coe_nhds_top {f : α → ℝ≥0} {l : Filter α} : Tendsto (fun x => (f x : ℝ≥0∞)) l (𝓝 ∞) ↔ Tendsto f l atTop := by rw [tendsto_nhds_top_iff_nnreal, atTop_basis_Ioi.tendsto_right_iff]; simp #align ennreal.tendsto_coe_nhds_top ENNReal.tendsto_coe_nhds_top theorem tendsto_ofReal_atTop : Tendsto ENNReal.ofReal atTop (𝓝 ∞) := tendsto_coe_nhds_top.2 tendsto_real_toNNReal_atTop #align ennreal.tendsto_of_real_at_top ENNReal.tendsto_ofReal_atTop theorem nhds_zero : 𝓝 (0 : ℝ≥0∞) = ⨅ (a) (_ : a ≠ 0), 𝓟 (Iio a) := nhds_bot_order.trans <| by simp [pos_iff_ne_zero, Iio] #align ennreal.nhds_zero ENNReal.nhds_zero theorem nhds_zero_basis : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) fun a => Iio a := nhds_bot_basis #align ennreal.nhds_zero_basis ENNReal.nhds_zero_basis theorem nhds_zero_basis_Iic : (𝓝 (0 : ℝ≥0∞)).HasBasis (fun a : ℝ≥0∞ => 0 < a) Iic := nhds_bot_basis_Iic #align ennreal.nhds_zero_basis_Iic ENNReal.nhds_zero_basis_Iic -- Porting note (#11215): TODO: add a TC for `≠ ∞`? @[instance] theorem nhdsWithin_Ioi_coe_neBot {r : ℝ≥0} : (𝓝[>] (r : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_self_neBot' ⟨∞, ENNReal.coe_lt_top⟩ #align ennreal.nhds_within_Ioi_coe_ne_bot ENNReal.nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Ioi_zero_neBot : (𝓝[>] (0 : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot #align ennreal.nhds_within_Ioi_zero_ne_bot ENNReal.nhdsWithin_Ioi_zero_neBot @[instance] theorem nhdsWithin_Ioi_one_neBot : (𝓝[>] (1 : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Ioi_nat_neBot (n : ℕ) : (𝓝[>] (n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Ioi_ofNat_nebot (n : ℕ) [n.AtLeastTwo] : (𝓝[>] (OfNat.ofNat n : ℝ≥0∞)).NeBot := nhdsWithin_Ioi_coe_neBot @[instance] theorem nhdsWithin_Iio_neBot [NeZero x] : (𝓝[<] x).NeBot := nhdsWithin_Iio_self_neBot' ⟨0, NeZero.pos x⟩ theorem hasBasis_nhds_of_ne_top' (xt : x ≠ ∞) : (𝓝 x).HasBasis (· ≠ 0) (fun ε => Icc (x - ε) (x + ε)) := by rcases (zero_le x).eq_or_gt with rfl | x0 · simp_rw [zero_tsub, zero_add, ← bot_eq_zero, Icc_bot, ← bot_lt_iff_ne_bot] exact nhds_bot_basis_Iic · refine (nhds_basis_Ioo' ⟨_, x0⟩ ⟨_, xt.lt_top⟩).to_hasBasis ?_ fun ε ε0 => ?_ · rintro ⟨a, b⟩ ⟨ha, hb⟩ rcases exists_between (tsub_pos_of_lt ha) with ⟨ε, ε0, hε⟩ rcases lt_iff_exists_add_pos_lt.1 hb with ⟨δ, δ0, hδ⟩ refine ⟨min ε δ, (lt_min ε0 (coe_pos.2 δ0)).ne', Icc_subset_Ioo ?_ ?_⟩ · exact lt_tsub_comm.2 ((min_le_left _ _).trans_lt hε) · exact (add_le_add_left (min_le_right _ _) _).trans_lt hδ · exact ⟨(x - ε, x + ε), ⟨ENNReal.sub_lt_self xt x0.ne' ε0, lt_add_right xt ε0⟩, Ioo_subset_Icc_self⟩ theorem hasBasis_nhds_of_ne_top (xt : x ≠ ∞) : (𝓝 x).HasBasis (0 < ·) (fun ε => Icc (x - ε) (x + ε)) := by simpa only [pos_iff_ne_zero] using hasBasis_nhds_of_ne_top' xt theorem Icc_mem_nhds (xt : x ≠ ∞) (ε0 : ε ≠ 0) : Icc (x - ε) (x + ε) ∈ 𝓝 x := (hasBasis_nhds_of_ne_top' xt).mem_of_mem ε0 #align ennreal.Icc_mem_nhds ENNReal.Icc_mem_nhds theorem nhds_of_ne_top (xt : x ≠ ∞) : 𝓝 x = ⨅ ε > 0, 𝓟 (Icc (x - ε) (x + ε)) := (hasBasis_nhds_of_ne_top xt).eq_biInf #align ennreal.nhds_of_ne_top ENNReal.nhds_of_ne_top theorem biInf_le_nhds : ∀ x : ℝ≥0∞, ⨅ ε > 0, 𝓟 (Icc (x - ε) (x + ε)) ≤ 𝓝 x | ∞ => iInf₂_le_of_le 1 one_pos <| by simpa only [← coe_one, top_sub_coe, top_add, Icc_self, principal_singleton] using pure_le_nhds _ | (x : ℝ≥0) => (nhds_of_ne_top coe_ne_top).ge -- Porting note (#10756): new lemma protected theorem tendsto_nhds_of_Icc {f : Filter α} {u : α → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ ε > 0, ∀ᶠ x in f, u x ∈ Icc (a - ε) (a + ε)) : Tendsto u f (𝓝 a) := by refine Tendsto.mono_right ?_ (biInf_le_nhds _) simpa only [tendsto_iInf, tendsto_principal] protected theorem tendsto_nhds {f : Filter α} {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto u f (𝓝 a) ↔ ∀ ε > 0, ∀ᶠ x in f, u x ∈ Icc (a - ε) (a + ε) := by simp only [nhds_of_ne_top ha, tendsto_iInf, tendsto_principal] #align ennreal.tendsto_nhds ENNReal.tendsto_nhds protected theorem tendsto_nhds_zero {f : Filter α} {u : α → ℝ≥0∞} : Tendsto u f (𝓝 0) ↔ ∀ ε > 0, ∀ᶠ x in f, u x ≤ ε := nhds_zero_basis_Iic.tendsto_right_iff #align ennreal.tendsto_nhds_zero ENNReal.tendsto_nhds_zero protected theorem tendsto_atTop [Nonempty β] [SemilatticeSup β] {f : β → ℝ≥0∞} {a : ℝ≥0∞} (ha : a ≠ ∞) : Tendsto f atTop (𝓝 a) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, f n ∈ Icc (a - ε) (a + ε) := .trans (atTop_basis.tendsto_iff (hasBasis_nhds_of_ne_top ha)) (by simp only [true_and]; rfl) #align ennreal.tendsto_at_top ENNReal.tendsto_atTop instance : ContinuousAdd ℝ≥0∞ := by refine ⟨continuous_iff_continuousAt.2 ?_⟩ rintro ⟨_ | a, b⟩ · exact tendsto_nhds_top_mono' continuousAt_fst fun p => le_add_right le_rfl rcases b with (_ | b) · exact tendsto_nhds_top_mono' continuousAt_snd fun p => le_add_left le_rfl simp only [ContinuousAt, some_eq_coe, nhds_coe_coe, ← coe_add, tendsto_map'_iff, (· ∘ ·), tendsto_coe, tendsto_add] protected theorem tendsto_atTop_zero [Nonempty β] [SemilatticeSup β] {f : β → ℝ≥0∞} : Tendsto f atTop (𝓝 0) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, f n ≤ ε := .trans (atTop_basis.tendsto_iff nhds_zero_basis_Iic) (by simp only [true_and]; rfl) #align ennreal.tendsto_at_top_zero ENNReal.tendsto_atTop_zero theorem tendsto_sub : ∀ {a b : ℝ≥0∞}, (a ≠ ∞ ∨ b ≠ ∞) → Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 - p.2) (𝓝 (a, b)) (𝓝 (a - b)) | ∞, ∞, h => by simp only [ne_eq, not_true_eq_false, or_self] at h | ∞, (b : ℝ≥0), _ => by rw [top_sub_coe, tendsto_nhds_top_iff_nnreal] refine fun x => ((lt_mem_nhds <| @coe_lt_top (b + 1 + x)).prod_nhds (ge_mem_nhds <| coe_lt_coe.2 <| lt_add_one b)).mono fun y hy => ?_ rw [lt_tsub_iff_left] calc y.2 + x ≤ ↑(b + 1) + x := add_le_add_right hy.2 _ _ < y.1 := hy.1 | (a : ℝ≥0), ∞, _ => by rw [sub_top] refine (tendsto_pure.2 ?_).mono_right (pure_le_nhds _) exact ((gt_mem_nhds <| coe_lt_coe.2 <| lt_add_one a).prod_nhds (lt_mem_nhds <| @coe_lt_top (a + 1))).mono fun x hx => tsub_eq_zero_iff_le.2 (hx.1.trans hx.2).le | (a : ℝ≥0), (b : ℝ≥0), _ => by simp only [nhds_coe_coe, tendsto_map'_iff, ← ENNReal.coe_sub, (· ∘ ·), tendsto_coe] exact continuous_sub.tendsto (a, b) #align ennreal.tendsto_sub ENNReal.tendsto_sub protected theorem Tendsto.sub {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞} (hma : Tendsto ma f (𝓝 a)) (hmb : Tendsto mb f (𝓝 b)) (h : a ≠ ∞ ∨ b ≠ ∞) : Tendsto (fun a => ma a - mb a) f (𝓝 (a - b)) := show Tendsto ((fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 - p.2) ∘ fun a => (ma a, mb a)) f (𝓝 (a - b)) from Tendsto.comp (ENNReal.tendsto_sub h) (hma.prod_mk_nhds hmb) #align ennreal.tendsto.sub ENNReal.Tendsto.sub protected theorem tendsto_mul (ha : a ≠ 0 ∨ b ≠ ∞) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) (𝓝 (a, b)) (𝓝 (a * b)) := by have ht : ∀ b : ℝ≥0∞, b ≠ 0 → Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) (𝓝 (∞, b)) (𝓝 ∞) := fun b hb => by refine tendsto_nhds_top_iff_nnreal.2 fun n => ?_ rcases lt_iff_exists_nnreal_btwn.1 (pos_iff_ne_zero.2 hb) with ⟨ε, hε, hεb⟩ have : ∀ᶠ c : ℝ≥0∞ × ℝ≥0∞ in 𝓝 (∞, b), ↑n / ↑ε < c.1 ∧ ↑ε < c.2 := (lt_mem_nhds <| div_lt_top coe_ne_top hε.ne').prod_nhds (lt_mem_nhds hεb) refine this.mono fun c hc => ?_ exact (ENNReal.div_mul_cancel hε.ne' coe_ne_top).symm.trans_lt (mul_lt_mul hc.1 hc.2) induction a with | top => simp only [ne_eq, or_false, not_true_eq_false] at hb; simp [ht b hb, top_mul hb] | coe a => induction b with | top => simp only [ne_eq, or_false, not_true_eq_false] at ha simpa [(· ∘ ·), mul_comm, mul_top ha] using (ht a ha).comp (continuous_swap.tendsto (ofNNReal a, ∞)) | coe b => simp only [nhds_coe_coe, ← coe_mul, tendsto_coe, tendsto_map'_iff, (· ∘ ·), tendsto_mul] #align ennreal.tendsto_mul ENNReal.tendsto_mul protected theorem Tendsto.mul {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞} (hma : Tendsto ma f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ ∞) (hmb : Tendsto mb f (𝓝 b)) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun a => ma a * mb a) f (𝓝 (a * b)) := show Tendsto ((fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 * p.2) ∘ fun a => (ma a, mb a)) f (𝓝 (a * b)) from Tendsto.comp (ENNReal.tendsto_mul ha hb) (hma.prod_mk_nhds hmb) #align ennreal.tendsto.mul ENNReal.Tendsto.mul theorem _root_.ContinuousOn.ennreal_mul [TopologicalSpace α] {f g : α → ℝ≥0∞} {s : Set α} (hf : ContinuousOn f s) (hg : ContinuousOn g s) (h₁ : ∀ x ∈ s, f x ≠ 0 ∨ g x ≠ ∞) (h₂ : ∀ x ∈ s, g x ≠ 0 ∨ f x ≠ ∞) : ContinuousOn (fun x => f x * g x) s := fun x hx => ENNReal.Tendsto.mul (hf x hx) (h₁ x hx) (hg x hx) (h₂ x hx) #align continuous_on.ennreal_mul ContinuousOn.ennreal_mul theorem _root_.Continuous.ennreal_mul [TopologicalSpace α] {f g : α → ℝ≥0∞} (hf : Continuous f) (hg : Continuous g) (h₁ : ∀ x, f x ≠ 0 ∨ g x ≠ ∞) (h₂ : ∀ x, g x ≠ 0 ∨ f x ≠ ∞) : Continuous fun x => f x * g x := continuous_iff_continuousAt.2 fun x => ENNReal.Tendsto.mul hf.continuousAt (h₁ x) hg.continuousAt (h₂ x) #align continuous.ennreal_mul Continuous.ennreal_mul protected theorem Tendsto.const_mul {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞} (hm : Tendsto m f (𝓝 b)) (hb : b ≠ 0 ∨ a ≠ ∞) : Tendsto (fun b => a * m b) f (𝓝 (a * b)) := by_cases (fun (this : a = 0) => by simp [this, tendsto_const_nhds]) fun ha : a ≠ 0 => ENNReal.Tendsto.mul tendsto_const_nhds (Or.inl ha) hm hb #align ennreal.tendsto.const_mul ENNReal.Tendsto.const_mul protected theorem Tendsto.mul_const {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞} (hm : Tendsto m f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ ∞) : Tendsto (fun x => m x * b) f (𝓝 (a * b)) := by simpa only [mul_comm] using ENNReal.Tendsto.const_mul hm ha #align ennreal.tendsto.mul_const ENNReal.Tendsto.mul_const theorem tendsto_finset_prod_of_ne_top {ι : Type*} {f : ι → α → ℝ≥0∞} {x : Filter α} {a : ι → ℝ≥0∞} (s : Finset ι) (h : ∀ i ∈ s, Tendsto (f i) x (𝓝 (a i))) (h' : ∀ i ∈ s, a i ≠ ∞) : Tendsto (fun b => ∏ c ∈ s, f c b) x (𝓝 (∏ c ∈ s, a c)) := by induction' s using Finset.induction with a s has IH · simp [tendsto_const_nhds] simp only [Finset.prod_insert has] apply Tendsto.mul (h _ (Finset.mem_insert_self _ _)) · right exact (prod_lt_top fun i hi => h' _ (Finset.mem_insert_of_mem hi)).ne · exact IH (fun i hi => h _ (Finset.mem_insert_of_mem hi)) fun i hi => h' _ (Finset.mem_insert_of_mem hi) · exact Or.inr (h' _ (Finset.mem_insert_self _ _)) #align ennreal.tendsto_finset_prod_of_ne_top ENNReal.tendsto_finset_prod_of_ne_top protected theorem continuousAt_const_mul {a b : ℝ≥0∞} (h : a ≠ ∞ ∨ b ≠ 0) : ContinuousAt (a * ·) b := Tendsto.const_mul tendsto_id h.symm #align ennreal.continuous_at_const_mul ENNReal.continuousAt_const_mul protected theorem continuousAt_mul_const {a b : ℝ≥0∞} (h : a ≠ ∞ ∨ b ≠ 0) : ContinuousAt (fun x => x * a) b := Tendsto.mul_const tendsto_id h.symm #align ennreal.continuous_at_mul_const ENNReal.continuousAt_mul_const protected theorem continuous_const_mul {a : ℝ≥0∞} (ha : a ≠ ∞) : Continuous (a * ·) := continuous_iff_continuousAt.2 fun _ => ENNReal.continuousAt_const_mul (Or.inl ha) #align ennreal.continuous_const_mul ENNReal.continuous_const_mul protected theorem continuous_mul_const {a : ℝ≥0∞} (ha : a ≠ ∞) : Continuous fun x => x * a := continuous_iff_continuousAt.2 fun _ => ENNReal.continuousAt_mul_const (Or.inl ha) #align ennreal.continuous_mul_const ENNReal.continuous_mul_const protected theorem continuous_div_const (c : ℝ≥0∞) (c_ne_zero : c ≠ 0) : Continuous fun x : ℝ≥0∞ => x / c := by simp_rw [div_eq_mul_inv, continuous_iff_continuousAt] intro x exact ENNReal.continuousAt_mul_const (Or.intro_left _ (inv_ne_top.mpr c_ne_zero)) #align ennreal.continuous_div_const ENNReal.continuous_div_const @[continuity] theorem continuous_pow (n : ℕ) : Continuous fun a : ℝ≥0∞ => a ^ n := by induction' n with n IH · simp [continuous_const] simp_rw [pow_add, pow_one, continuous_iff_continuousAt] intro x refine ENNReal.Tendsto.mul (IH.tendsto _) ?_ tendsto_id ?_ <;> by_cases H : x = 0 · simp only [H, zero_ne_top, Ne, or_true_iff, not_false_iff] · exact Or.inl fun h => H (pow_eq_zero h) · simp only [H, pow_eq_top_iff, zero_ne_top, false_or_iff, eq_self_iff_true, not_true, Ne, not_false_iff, false_and_iff] · simp only [H, true_or_iff, Ne, not_false_iff] #align ennreal.continuous_pow ENNReal.continuous_pow theorem continuousOn_sub : ContinuousOn (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) { p : ℝ≥0∞ × ℝ≥0∞ | p ≠ ⟨∞, ∞⟩ } := by rw [ContinuousOn] rintro ⟨x, y⟩ hp simp only [Ne, Set.mem_setOf_eq, Prod.mk.inj_iff] at hp exact tendsto_nhdsWithin_of_tendsto_nhds (tendsto_sub (not_and_or.mp hp)) #align ennreal.continuous_on_sub ENNReal.continuousOn_sub theorem continuous_sub_left {a : ℝ≥0∞} (a_ne_top : a ≠ ∞) : Continuous (a - ·) := by change Continuous (Function.uncurry Sub.sub ∘ (a, ·)) refine continuousOn_sub.comp_continuous (Continuous.Prod.mk a) fun x => ?_ simp only [a_ne_top, Ne, mem_setOf_eq, Prod.mk.inj_iff, false_and_iff, not_false_iff] #align ennreal.continuous_sub_left ENNReal.continuous_sub_left theorem continuous_nnreal_sub {a : ℝ≥0} : Continuous fun x : ℝ≥0∞ => (a : ℝ≥0∞) - x := continuous_sub_left coe_ne_top #align ennreal.continuous_nnreal_sub ENNReal.continuous_nnreal_sub theorem continuousOn_sub_left (a : ℝ≥0∞) : ContinuousOn (a - ·) { x : ℝ≥0∞ | x ≠ ∞ } := by rw [show (fun x => a - x) = (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) ∘ fun x => ⟨a, x⟩ by rfl] apply ContinuousOn.comp continuousOn_sub (Continuous.continuousOn (Continuous.Prod.mk a)) rintro _ h (_ | _) exact h none_eq_top #align ennreal.continuous_on_sub_left ENNReal.continuousOn_sub_left theorem continuous_sub_right (a : ℝ≥0∞) : Continuous fun x : ℝ≥0∞ => x - a := by by_cases a_infty : a = ∞ · simp [a_infty, continuous_const] · rw [show (fun x => x - a) = (fun p : ℝ≥0∞ × ℝ≥0∞ => p.fst - p.snd) ∘ fun x => ⟨x, a⟩ by rfl] apply ContinuousOn.comp_continuous continuousOn_sub (continuous_id'.prod_mk continuous_const) intro x simp only [a_infty, Ne, mem_setOf_eq, Prod.mk.inj_iff, and_false_iff, not_false_iff] #align ennreal.continuous_sub_right ENNReal.continuous_sub_right protected theorem Tendsto.pow {f : Filter α} {m : α → ℝ≥0∞} {a : ℝ≥0∞} {n : ℕ} (hm : Tendsto m f (𝓝 a)) : Tendsto (fun x => m x ^ n) f (𝓝 (a ^ n)) := ((continuous_pow n).tendsto a).comp hm #align ennreal.tendsto.pow ENNReal.Tendsto.pow theorem le_of_forall_lt_one_mul_le {x y : ℝ≥0∞} (h : ∀ a < 1, a * x ≤ y) : x ≤ y := by have : Tendsto (· * x) (𝓝[<] 1) (𝓝 (1 * x)) := (ENNReal.continuousAt_mul_const (Or.inr one_ne_zero)).mono_left inf_le_left rw [one_mul] at this exact le_of_tendsto this (eventually_nhdsWithin_iff.2 <| eventually_of_forall h) #align ennreal.le_of_forall_lt_one_mul_le ENNReal.le_of_forall_lt_one_mul_le theorem iInf_mul_left' {ι} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} (h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0) (h0 : a = 0 → Nonempty ι) : ⨅ i, a * f i = a * ⨅ i, f i := by by_cases H : a = ∞ ∧ ⨅ i, f i = 0 · rcases h H.1 H.2 with ⟨i, hi⟩ rw [H.2, mul_zero, ← bot_eq_zero, iInf_eq_bot] exact fun b hb => ⟨i, by rwa [hi, mul_zero, ← bot_eq_zero]⟩ · rw [not_and_or] at H cases isEmpty_or_nonempty ι · rw [iInf_of_empty, iInf_of_empty, mul_top] exact mt h0 (not_nonempty_iff.2 ‹_›) · exact (ENNReal.mul_left_mono.map_iInf_of_continuousAt' (ENNReal.continuousAt_const_mul H)).symm #align ennreal.infi_mul_left' ENNReal.iInf_mul_left' theorem iInf_mul_left {ι} [Nonempty ι] {f : ι → ℝ≥0∞} {a : ℝ≥0∞} (h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0) : ⨅ i, a * f i = a * ⨅ i, f i := iInf_mul_left' h fun _ => ‹Nonempty ι› #align ennreal.infi_mul_left ENNReal.iInf_mul_left theorem iInf_mul_right' {ι} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} (h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0) (h0 : a = 0 → Nonempty ι) : ⨅ i, f i * a = (⨅ i, f i) * a := by simpa only [mul_comm a] using iInf_mul_left' h h0 #align ennreal.infi_mul_right' ENNReal.iInf_mul_right' theorem iInf_mul_right {ι} [Nonempty ι] {f : ι → ℝ≥0∞} {a : ℝ≥0∞} (h : a = ∞ → ⨅ i, f i = 0 → ∃ i, f i = 0) : ⨅ i, f i * a = (⨅ i, f i) * a := iInf_mul_right' h fun _ => ‹Nonempty ι› #align ennreal.infi_mul_right ENNReal.iInf_mul_right theorem inv_map_iInf {ι : Sort*} {x : ι → ℝ≥0∞} : (iInf x)⁻¹ = ⨆ i, (x i)⁻¹ := OrderIso.invENNReal.map_iInf x #align ennreal.inv_map_infi ENNReal.inv_map_iInf theorem inv_map_iSup {ι : Sort*} {x : ι → ℝ≥0∞} : (iSup x)⁻¹ = ⨅ i, (x i)⁻¹ := OrderIso.invENNReal.map_iSup x #align ennreal.inv_map_supr ENNReal.inv_map_iSup theorem inv_limsup {ι : Sort _} {x : ι → ℝ≥0∞} {l : Filter ι} : (limsup x l)⁻¹ = liminf (fun i => (x i)⁻¹) l := OrderIso.invENNReal.limsup_apply #align ennreal.inv_limsup ENNReal.inv_limsup theorem inv_liminf {ι : Sort _} {x : ι → ℝ≥0∞} {l : Filter ι} : (liminf x l)⁻¹ = limsup (fun i => (x i)⁻¹) l := OrderIso.invENNReal.liminf_apply #align ennreal.inv_liminf ENNReal.inv_liminf instance : ContinuousInv ℝ≥0∞ := ⟨OrderIso.invENNReal.continuous⟩ @[simp] -- Porting note (#11215): TODO: generalize to `[InvolutiveInv _] [ContinuousInv _]` protected theorem tendsto_inv_iff {f : Filter α} {m : α → ℝ≥0∞} {a : ℝ≥0∞} : Tendsto (fun x => (m x)⁻¹) f (𝓝 a⁻¹) ↔ Tendsto m f (𝓝 a) := ⟨fun h => by simpa only [inv_inv] using Tendsto.inv h, Tendsto.inv⟩ #align ennreal.tendsto_inv_iff ENNReal.tendsto_inv_iff protected theorem Tendsto.div {f : Filter α} {ma : α → ℝ≥0∞} {mb : α → ℝ≥0∞} {a b : ℝ≥0∞} (hma : Tendsto ma f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ 0) (hmb : Tendsto mb f (𝓝 b)) (hb : b ≠ ∞ ∨ a ≠ ∞) : Tendsto (fun a => ma a / mb a) f (𝓝 (a / b)) := by apply Tendsto.mul hma _ (ENNReal.tendsto_inv_iff.2 hmb) _ <;> simp [ha, hb] #align ennreal.tendsto.div ENNReal.Tendsto.div protected theorem Tendsto.const_div {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞} (hm : Tendsto m f (𝓝 b)) (hb : b ≠ ∞ ∨ a ≠ ∞) : Tendsto (fun b => a / m b) f (𝓝 (a / b)) := by apply Tendsto.const_mul (ENNReal.tendsto_inv_iff.2 hm) simp [hb] #align ennreal.tendsto.const_div ENNReal.Tendsto.const_div protected theorem Tendsto.div_const {f : Filter α} {m : α → ℝ≥0∞} {a b : ℝ≥0∞} (hm : Tendsto m f (𝓝 a)) (ha : a ≠ 0 ∨ b ≠ 0) : Tendsto (fun x => m x / b) f (𝓝 (a / b)) := by apply Tendsto.mul_const hm simp [ha] #align ennreal.tendsto.div_const ENNReal.Tendsto.div_const protected theorem tendsto_inv_nat_nhds_zero : Tendsto (fun n : ℕ => (n : ℝ≥0∞)⁻¹) atTop (𝓝 0) := ENNReal.inv_top ▸ ENNReal.tendsto_inv_iff.2 tendsto_nat_nhds_top #align ennreal.tendsto_inv_nat_nhds_zero ENNReal.tendsto_inv_nat_nhds_zero theorem iSup_add {ι : Sort*} {s : ι → ℝ≥0∞} [Nonempty ι] : iSup s + a = ⨆ b, s b + a := Monotone.map_iSup_of_continuousAt' (continuousAt_id.add continuousAt_const) <| monotone_id.add monotone_const #align ennreal.supr_add ENNReal.iSup_add theorem biSup_add' {ι : Sort*} {p : ι → Prop} (h : ∃ i, p i) {f : ι → ℝ≥0∞} : (⨆ (i) (_ : p i), f i) + a = ⨆ (i) (_ : p i), f i + a := by haveI : Nonempty { i // p i } := nonempty_subtype.2 h simp only [iSup_subtype', iSup_add] #align ennreal.bsupr_add' ENNReal.biSup_add' theorem add_biSup' {ι : Sort*} {p : ι → Prop} (h : ∃ i, p i) {f : ι → ℝ≥0∞} : (a + ⨆ (i) (_ : p i), f i) = ⨆ (i) (_ : p i), a + f i := by simp only [add_comm a, biSup_add' h] #align ennreal.add_bsupr' ENNReal.add_biSup' theorem biSup_add {ι} {s : Set ι} (hs : s.Nonempty) {f : ι → ℝ≥0∞} : (⨆ i ∈ s, f i) + a = ⨆ i ∈ s, f i + a := biSup_add' hs #align ennreal.bsupr_add ENNReal.biSup_add theorem add_biSup {ι} {s : Set ι} (hs : s.Nonempty) {f : ι → ℝ≥0∞} : (a + ⨆ i ∈ s, f i) = ⨆ i ∈ s, a + f i := add_biSup' hs #align ennreal.add_bsupr ENNReal.add_biSup theorem sSup_add {s : Set ℝ≥0∞} (hs : s.Nonempty) : sSup s + a = ⨆ b ∈ s, b + a := by rw [sSup_eq_iSup, biSup_add hs] #align ennreal.Sup_add ENNReal.sSup_add theorem add_iSup {ι : Sort*} {s : ι → ℝ≥0∞} [Nonempty ι] : a + iSup s = ⨆ b, a + s b := by rw [add_comm, iSup_add]; simp [add_comm] #align ennreal.add_supr ENNReal.add_iSup theorem iSup_add_iSup_le {ι ι' : Sort*} [Nonempty ι] [Nonempty ι'] {f : ι → ℝ≥0∞} {g : ι' → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ i j, f i + g j ≤ a) : iSup f + iSup g ≤ a := by simp_rw [iSup_add, add_iSup]; exact iSup₂_le h #align ennreal.supr_add_supr_le ENNReal.iSup_add_iSup_le theorem biSup_add_biSup_le' {ι ι'} {p : ι → Prop} {q : ι' → Prop} (hp : ∃ i, p i) (hq : ∃ j, q j) {f : ι → ℝ≥0∞} {g : ι' → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ i, p i → ∀ j, q j → f i + g j ≤ a) : ((⨆ (i) (_ : p i), f i) + ⨆ (j) (_ : q j), g j) ≤ a := by simp_rw [biSup_add' hp, add_biSup' hq] exact iSup₂_le fun i hi => iSup₂_le (h i hi) #align ennreal.bsupr_add_bsupr_le' ENNReal.biSup_add_biSup_le' theorem biSup_add_biSup_le {ι ι'} {s : Set ι} {t : Set ι'} (hs : s.Nonempty) (ht : t.Nonempty) {f : ι → ℝ≥0∞} {g : ι' → ℝ≥0∞} {a : ℝ≥0∞} (h : ∀ i ∈ s, ∀ j ∈ t, f i + g j ≤ a) : ((⨆ i ∈ s, f i) + ⨆ j ∈ t, g j) ≤ a := biSup_add_biSup_le' hs ht h #align ennreal.bsupr_add_bsupr_le ENNReal.biSup_add_biSup_le theorem iSup_add_iSup {ι : Sort*} {f g : ι → ℝ≥0∞} (h : ∀ i j, ∃ k, f i + g j ≤ f k + g k) : iSup f + iSup g = ⨆ a, f a + g a := by cases isEmpty_or_nonempty ι · simp only [iSup_of_empty, bot_eq_zero, zero_add] · refine le_antisymm ?_ (iSup_le fun a => add_le_add (le_iSup _ _) (le_iSup _ _)) refine iSup_add_iSup_le fun i j => ?_ rcases h i j with ⟨k, hk⟩ exact le_iSup_of_le k hk #align ennreal.supr_add_supr ENNReal.iSup_add_iSup theorem iSup_add_iSup_of_monotone {ι : Type*} [SemilatticeSup ι] {f g : ι → ℝ≥0∞} (hf : Monotone f) (hg : Monotone g) : iSup f + iSup g = ⨆ a, f a + g a := iSup_add_iSup fun i j => ⟨i ⊔ j, add_le_add (hf <| le_sup_left) (hg <| le_sup_right)⟩ #align ennreal.supr_add_supr_of_monotone ENNReal.iSup_add_iSup_of_monotone theorem finset_sum_iSup_nat {α} {ι} [SemilatticeSup ι] {s : Finset α} {f : α → ι → ℝ≥0∞} (hf : ∀ a, Monotone (f a)) : (∑ a ∈ s, iSup (f a)) = ⨆ n, ∑ a ∈ s, f a n := by refine Finset.induction_on s ?_ ?_ · simp · intro a s has ih simp only [Finset.sum_insert has] rw [ih, iSup_add_iSup_of_monotone (hf a)] intro i j h exact Finset.sum_le_sum fun a _ => hf a h #align ennreal.finset_sum_supr_nat ENNReal.finset_sum_iSup_nat theorem mul_iSup {ι : Sort*} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} : a * iSup f = ⨆ i, a * f i := by by_cases hf : ∀ i, f i = 0 · obtain rfl : f = fun _ => 0 := funext hf simp only [iSup_zero_eq_zero, mul_zero] · refine (monotone_id.const_mul' _).map_iSup_of_continuousAt ?_ (mul_zero a) refine ENNReal.Tendsto.const_mul tendsto_id (Or.inl ?_) exact mt iSup_eq_zero.1 hf #align ennreal.mul_supr ENNReal.mul_iSup theorem mul_sSup {s : Set ℝ≥0∞} {a : ℝ≥0∞} : a * sSup s = ⨆ i ∈ s, a * i := by simp only [sSup_eq_iSup, mul_iSup] #align ennreal.mul_Sup ENNReal.mul_sSup theorem iSup_mul {ι : Sort*} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} : iSup f * a = ⨆ i, f i * a := by rw [mul_comm, mul_iSup]; congr; funext; rw [mul_comm] #align ennreal.supr_mul ENNReal.iSup_mul theorem smul_iSup {ι : Sort*} {R} [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] (f : ι → ℝ≥0∞) (c : R) : (c • ⨆ i, f i) = ⨆ i, c • f i := by -- Porting note: replaced `iSup _` with `iSup f` simp only [← smul_one_mul c (f _), ← smul_one_mul c (iSup f), ENNReal.mul_iSup] #align ennreal.smul_supr ENNReal.smul_iSup theorem smul_sSup {R} [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] (s : Set ℝ≥0∞) (c : R) : c • sSup s = ⨆ i ∈ s, c • i := by -- Porting note: replaced `_` with `s` simp_rw [← smul_one_mul c (sSup s), ENNReal.mul_sSup, smul_one_mul] #align ennreal.smul_Sup ENNReal.smul_sSup theorem iSup_div {ι : Sort*} {f : ι → ℝ≥0∞} {a : ℝ≥0∞} : iSup f / a = ⨆ i, f i / a := iSup_mul #align ennreal.supr_div ENNReal.iSup_div protected theorem tendsto_coe_sub {b : ℝ≥0∞} : Tendsto (fun b : ℝ≥0∞ => ↑r - b) (𝓝 b) (𝓝 (↑r - b)) := continuous_nnreal_sub.tendsto _ #align ennreal.tendsto_coe_sub ENNReal.tendsto_coe_sub theorem sub_iSup {ι : Sort*} [Nonempty ι] {b : ι → ℝ≥0∞} (hr : a < ∞) : (a - ⨆ i, b i) = ⨅ i, a - b i := antitone_const_tsub.map_iSup_of_continuousAt' (continuous_sub_left hr.ne).continuousAt #align ennreal.sub_supr ENNReal.sub_iSup theorem exists_countable_dense_no_zero_top : ∃ s : Set ℝ≥0∞, s.Countable ∧ Dense s ∧ 0 ∉ s ∧ ∞ ∉ s := by obtain ⟨s, s_count, s_dense, hs⟩ : ∃ s : Set ℝ≥0∞, s.Countable ∧ Dense s ∧ (∀ x, IsBot x → x ∉ s) ∧ ∀ x, IsTop x → x ∉ s := exists_countable_dense_no_bot_top ℝ≥0∞ exact ⟨s, s_count, s_dense, fun h => hs.1 0 (by simp) h, fun h => hs.2 ∞ (by simp) h⟩ #align ennreal.exists_countable_dense_no_zero_top ENNReal.exists_countable_dense_no_zero_top theorem exists_lt_add_of_lt_add {x y z : ℝ≥0∞} (h : x < y + z) (hy : y ≠ 0) (hz : z ≠ 0) : ∃ y' z', y' < y ∧ z' < z ∧ x < y' + z' := by have : NeZero y := ⟨hy⟩ have : NeZero z := ⟨hz⟩ have A : Tendsto (fun p : ℝ≥0∞ × ℝ≥0∞ => p.1 + p.2) (𝓝[<] y ×ˢ 𝓝[<] z) (𝓝 (y + z)) := by apply Tendsto.mono_left _ (Filter.prod_mono nhdsWithin_le_nhds nhdsWithin_le_nhds) rw [← nhds_prod_eq] exact tendsto_add rcases ((A.eventually (lt_mem_nhds h)).and (Filter.prod_mem_prod self_mem_nhdsWithin self_mem_nhdsWithin)).exists with ⟨⟨y', z'⟩, hx, hy', hz'⟩ exact ⟨y', z', hy', hz', hx⟩ #align ennreal.exists_lt_add_of_lt_add ENNReal.exists_lt_add_of_lt_add
Mathlib/Topology/Instances/ENNReal.lean
712
723
theorem ofReal_cinfi (f : α → ℝ) [Nonempty α] : ENNReal.ofReal (⨅ i, f i) = ⨅ i, ENNReal.ofReal (f i) := by
by_cases hf : BddBelow (range f) · exact Monotone.map_ciInf_of_continuousAt ENNReal.continuous_ofReal.continuousAt (fun i j hij => ENNReal.ofReal_le_ofReal hij) hf · symm rw [Real.iInf_of_not_bddBelow hf, ENNReal.ofReal_zero, ← ENNReal.bot_eq_zero, iInf_eq_bot] obtain ⟨y, hy_mem, hy_neg⟩ := not_bddBelow_iff.mp hf 0 obtain ⟨i, rfl⟩ := mem_range.mpr hy_mem refine fun x hx => ⟨i, ?_⟩ rwa [ENNReal.ofReal_of_nonpos hy_neg.le]
import Mathlib.Algebra.GroupWithZero.Invertible import Mathlib.Algebra.Ring.Defs #align_import algebra.invertible from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422" universe u variable {α : Type u} def invertibleNeg [Mul α] [One α] [HasDistribNeg α] (a : α) [Invertible a] : Invertible (-a) := ⟨-⅟ a, by simp, by simp⟩ #align invertible_neg invertibleNeg @[simp] theorem invOf_neg [Monoid α] [HasDistribNeg α] (a : α) [Invertible a] [Invertible (-a)] : ⅟ (-a) = -⅟ a := invOf_eq_right_inv (by simp) #align inv_of_neg invOf_neg @[simp] theorem one_sub_invOf_two [Ring α] [Invertible (2 : α)] : 1 - (⅟ 2 : α) = ⅟ 2 := (isUnit_of_invertible (2 : α)).mul_right_inj.1 <| by rw [mul_sub, mul_invOf_self, mul_one, ← one_add_one_eq_two, add_sub_cancel_right] #align one_sub_inv_of_two one_sub_invOf_two @[simp] theorem invOf_two_add_invOf_two [NonAssocSemiring α] [Invertible (2 : α)] : (⅟ 2 : α) + (⅟ 2 : α) = 1 := by rw [← two_mul, mul_invOf_self] #align inv_of_two_add_inv_of_two invOf_two_add_invOf_two theorem pos_of_invertible_cast [Semiring α] [Nontrivial α] (n : ℕ) [Invertible (n : α)] : 0 < n := Nat.zero_lt_of_ne_zero fun h => nonzero_of_invertible (n : α) (h ▸ Nat.cast_zero) theorem invOf_add_invOf [Semiring α] (a b : α) [Invertible a] [Invertible b] : ⅟a + ⅟b = ⅟a * (a + b) * ⅟b:= by rw [mul_add, invOf_mul_self, add_mul, one_mul, mul_assoc, mul_invOf_self, mul_one, add_comm]
Mathlib/Algebra/Ring/Invertible.lean
49
51
theorem invOf_sub_invOf [Ring α] (a b : α) [Invertible a] [Invertible b] : ⅟a - ⅟b = ⅟a * (b - a) * ⅟b := by
rw [mul_sub, invOf_mul_self, sub_mul, one_mul, mul_assoc, mul_invOf_self, mul_one]
import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.Topology.Spectral.Hom import Mathlib.AlgebraicGeometry.Limits #align_import algebraic_geometry.morphisms.quasi_compact from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8" noncomputable section open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace universe u open scoped AlgebraicGeometry namespace AlgebraicGeometry variable {X Y : Scheme.{u}} (f : X ⟶ Y) @[mk_iff] class QuasiCompact (f : X ⟶ Y) : Prop where isCompact_preimage : ∀ U : Set Y.carrier, IsOpen U → IsCompact U → IsCompact (f.1.base ⁻¹' U) #align algebraic_geometry.quasi_compact AlgebraicGeometry.QuasiCompact theorem quasiCompact_iff_spectral : QuasiCompact f ↔ IsSpectralMap f.1.base := ⟨fun ⟨h⟩ => ⟨by continuity, h⟩, fun h => ⟨h.2⟩⟩ #align algebraic_geometry.quasi_compact_iff_spectral AlgebraicGeometry.quasiCompact_iff_spectral def QuasiCompact.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ => CompactSpace X.carrier #align algebraic_geometry.quasi_compact.affine_property AlgebraicGeometry.QuasiCompact.affineProperty instance (priority := 900) quasiCompactOfIsIso {X Y : Scheme} (f : X ⟶ Y) [IsIso f] : QuasiCompact f := by constructor intro U _ hU' convert hU'.image (inv f.1.base).continuous_toFun using 1 rw [Set.image_eq_preimage_of_inverse] · delta Function.LeftInverse exact IsIso.inv_hom_id_apply f.1.base · exact IsIso.hom_inv_id_apply f.1.base #align algebraic_geometry.quasi_compact_of_is_iso AlgebraicGeometry.quasiCompactOfIsIso instance quasiCompactComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiCompact f] [QuasiCompact g] : QuasiCompact (f ≫ g) := by constructor intro U hU hU' rw [Scheme.comp_val_base, TopCat.coe_comp, Set.preimage_comp] apply QuasiCompact.isCompact_preimage · exact Continuous.isOpen_preimage (by -- Porting note: `continuity` failed -- see https://github.com/leanprover-community/mathlib4/issues/5030 exact Scheme.Hom.continuous g) _ hU apply QuasiCompact.isCompact_preimage <;> assumption #align algebraic_geometry.quasi_compact_comp AlgebraicGeometry.quasiCompactComp theorem isCompact_open_iff_eq_finset_affine_union {X : Scheme} (U : Set X.carrier) : IsCompact U ∧ IsOpen U ↔ ∃ s : Set X.affineOpens, s.Finite ∧ U = ⋃ (i : X.affineOpens) (_ : i ∈ s), i := by apply Opens.IsBasis.isCompact_open_iff_eq_finite_iUnion (fun (U : X.affineOpens) => (U : Opens X.carrier)) · rw [Subtype.range_coe]; exact isBasis_affine_open X · exact fun i => i.2.isCompact #align algebraic_geometry.is_compact_open_iff_eq_finset_affine_union AlgebraicGeometry.isCompact_open_iff_eq_finset_affine_union theorem isCompact_open_iff_eq_basicOpen_union {X : Scheme} [IsAffine X] (U : Set X.carrier) : IsCompact U ∧ IsOpen U ↔ ∃ s : Set (X.presheaf.obj (op ⊤)), s.Finite ∧ U = ⋃ (i : X.presheaf.obj (op ⊤)) (_ : i ∈ s), X.basicOpen i := (isBasis_basicOpen X).isCompact_open_iff_eq_finite_iUnion _ (fun _ => ((topIsAffineOpen _).basicOpenIsAffine _).isCompact) _ #align algebraic_geometry.is_compact_open_iff_eq_basic_open_union AlgebraicGeometry.isCompact_open_iff_eq_basicOpen_union
Mathlib/AlgebraicGeometry/Morphisms/QuasiCompact.lean
97
105
theorem quasiCompact_iff_forall_affine : QuasiCompact f ↔ ∀ U : Opens Y.carrier, IsAffineOpen U → IsCompact (f.1.base ⁻¹' (U : Set Y.carrier)) := by
rw [quasiCompact_iff] refine ⟨fun H U hU => H U U.isOpen hU.isCompact, ?_⟩ intro H U hU hU' obtain ⟨S, hS, rfl⟩ := (isCompact_open_iff_eq_finset_affine_union U).mp ⟨hU', hU⟩ simp only [Set.preimage_iUnion] exact Set.Finite.isCompact_biUnion hS (fun i _ => H i i.prop)
import Mathlib.Order.Filter.Basic import Mathlib.Topology.Bases import Mathlib.Data.Set.Accumulate import Mathlib.Topology.Bornology.Basic import Mathlib.Topology.LocallyFinite open Set Filter Topology TopologicalSpace Classical Function universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} -- compact sets section Compact lemma IsCompact.exists_clusterPt (hs : IsCompact s) {f : Filter X} [NeBot f] (hf : f ≤ 𝓟 s) : ∃ x ∈ s, ClusterPt x f := hs hf lemma IsCompact.exists_mapClusterPt {ι : Type*} (hs : IsCompact s) {f : Filter ι} [NeBot f] {u : ι → X} (hf : Filter.map u f ≤ 𝓟 s) : ∃ x ∈ s, MapClusterPt x f u := hs hf theorem IsCompact.compl_mem_sets (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact @hs _ hf inf_le_right #align is_compact.compl_mem_sets IsCompact.compl_mem_sets theorem IsCompact.compl_mem_sets_of_nhdsWithin (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx => ?_ rcases hf x hx with ⟨t, ht, hst⟩ replace ht := mem_inf_principal.1 ht apply mem_inf_of_inter ht hst rintro x ⟨h₁, h₂⟩ hs exact h₂ (h₁ hs) #align is_compact.compl_mem_sets_of_nhds_within IsCompact.compl_mem_sets_of_nhdsWithin @[elab_as_elim] theorem IsCompact.induction_on (hs : IsCompact s) {p : Set X → Prop} (he : p ∅) (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hunion : ∀ ⦃s t⦄, p s → p t → p (s ∪ t)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := comk p he (fun _t ht _s hsub ↦ hmono hsub ht) (fun _s hs _t ht ↦ hunion hs ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] #align is_compact.induction_on IsCompact.induction_on theorem IsCompact.inter_right (hs : IsCompact s) (ht : IsClosed t) : IsCompact (s ∩ t) := by intro f hnf hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs (le_trans hstf (le_principal_iff.2 inter_subset_left)) have : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono <| le_trans hstf (le_principal_iff.2 inter_subset_right) exact ⟨x, ⟨hsx, this⟩, hx⟩ #align is_compact.inter_right IsCompact.inter_right theorem IsCompact.inter_left (ht : IsCompact t) (hs : IsClosed s) : IsCompact (s ∩ t) := inter_comm t s ▸ ht.inter_right hs #align is_compact.inter_left IsCompact.inter_left theorem IsCompact.diff (hs : IsCompact s) (ht : IsOpen t) : IsCompact (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) #align is_compact.diff IsCompact.diff theorem IsCompact.of_isClosed_subset (hs : IsCompact s) (ht : IsClosed t) (h : t ⊆ s) : IsCompact t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht #align is_compact_of_is_closed_subset IsCompact.of_isClosed_subset theorem IsCompact.image_of_continuousOn {f : X → Y} (hs : IsCompact s) (hf : ContinuousOn f s) : IsCompact (f '' s) := by intro l lne ls have : NeBot (l.comap f ⊓ 𝓟 s) := comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls) obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this inf_le_right haveI := hx.neBot use f x, mem_image_of_mem f hxs have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1 rw [nhdsWithin] ac_rfl exact this.neBot #align is_compact.image_of_continuous_on IsCompact.image_of_continuousOn theorem IsCompact.image {f : X → Y} (hs : IsCompact s) (hf : Continuous f) : IsCompact (f '' s) := hs.image_of_continuousOn hf.continuousOn #align is_compact.image IsCompact.image theorem IsCompact.adherence_nhdset {f : Filter X} (hs : IsCompact s) (hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f := Classical.by_cases mem_of_eq_bot fun (this : f ⊓ 𝓟 tᶜ ≠ ⊥) => let ⟨x, hx, (hfx : ClusterPt x <| f ⊓ 𝓟 tᶜ)⟩ := @hs _ ⟨this⟩ <| inf_le_of_left_le hf₂ have : x ∈ t := ht₂ x hx hfx.of_inf_left have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (IsOpen.mem_nhds ht₁ this) have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne absurd A this #align is_compact.adherence_nhdset IsCompact.adherence_nhdset theorem isCompact_iff_ultrafilter_le_nhds : IsCompact s ↔ ∀ f : Ultrafilter X, ↑f ≤ 𝓟 s → ∃ x ∈ s, ↑f ≤ 𝓝 x := by refine (forall_neBot_le_iff ?_).trans ?_ · rintro f g hle ⟨x, hxs, hxf⟩ exact ⟨x, hxs, hxf.mono hle⟩ · simp only [Ultrafilter.clusterPt_iff] #align is_compact_iff_ultrafilter_le_nhds isCompact_iff_ultrafilter_le_nhds alias ⟨IsCompact.ultrafilter_le_nhds, _⟩ := isCompact_iff_ultrafilter_le_nhds #align is_compact.ultrafilter_le_nhds IsCompact.ultrafilter_le_nhds theorem isCompact_iff_ultrafilter_le_nhds' : IsCompact s ↔ ∀ f : Ultrafilter X, s ∈ f → ∃ x ∈ s, ↑f ≤ 𝓝 x := by simp only [isCompact_iff_ultrafilter_le_nhds, le_principal_iff, Ultrafilter.mem_coe] alias ⟨IsCompact.ultrafilter_le_nhds', _⟩ := isCompact_iff_ultrafilter_le_nhds' lemma IsCompact.le_nhds_of_unique_clusterPt (hs : IsCompact s) {l : Filter X} {y : X} (hmem : s ∈ l) (h : ∀ x ∈ s, ClusterPt x l → x = y) : l ≤ 𝓝 y := by refine le_iff_ultrafilter.2 fun f hf ↦ ?_ rcases hs.ultrafilter_le_nhds' f (hf hmem) with ⟨x, hxs, hx⟩ convert ← hx exact h x hxs (.mono (.of_le_nhds hx) hf) lemma IsCompact.tendsto_nhds_of_unique_mapClusterPt {l : Filter Y} {y : X} {f : Y → X} (hs : IsCompact s) (hmem : ∀ᶠ x in l, f x ∈ s) (h : ∀ x ∈ s, MapClusterPt x l f → x = y) : Tendsto f l (𝓝 y) := hs.le_nhds_of_unique_clusterPt (mem_map.2 hmem) h theorem IsCompact.elim_directed_cover {ι : Type v} [hι : Nonempty ι] (hs : IsCompact s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) (hdU : Directed (· ⊆ ·) U) : ∃ i, s ⊆ U i := hι.elim fun i₀ => IsCompact.induction_on hs ⟨i₀, empty_subset _⟩ (fun _ _ hs ⟨i, hi⟩ => ⟨i, hs.trans hi⟩) (fun _ _ ⟨i, hi⟩ ⟨j, hj⟩ => let ⟨k, hki, hkj⟩ := hdU i j ⟨k, union_subset (Subset.trans hi hki) (Subset.trans hj hkj)⟩) fun _x hx => let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx) ⟨U i, mem_nhdsWithin_of_mem_nhds (IsOpen.mem_nhds (hUo i) hi), i, Subset.refl _⟩ #align is_compact.elim_directed_cover IsCompact.elim_directed_cover theorem IsCompact.elim_finite_subcover {ι : Type v} (hs : IsCompact s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ t : Finset ι, s ⊆ ⋃ i ∈ t, U i := hs.elim_directed_cover _ (fun _ => isOpen_biUnion fun i _ => hUo i) (iUnion_eq_iUnion_finset U ▸ hsU) (directed_of_isDirected_le fun _ _ h => biUnion_subset_biUnion_left h) #align is_compact.elim_finite_subcover IsCompact.elim_finite_subcover lemma IsCompact.elim_nhds_subcover_nhdsSet' (hs : IsCompact s) (U : ∀ x ∈ s, Set X) (hU : ∀ x hx, U x hx ∈ 𝓝 x) : ∃ t : Finset s, (⋃ x ∈ t, U x.1 x.2) ∈ 𝓝ˢ s := by rcases hs.elim_finite_subcover (fun x : s ↦ interior (U x x.2)) (fun _ ↦ isOpen_interior) fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 <| hU _ _⟩ with ⟨t, hst⟩ refine ⟨t, mem_nhdsSet_iff_forall.2 fun x hx ↦ ?_⟩ rcases mem_iUnion₂.1 (hst hx) with ⟨y, hyt, hy⟩ refine mem_of_superset ?_ (subset_biUnion_of_mem hyt) exact mem_interior_iff_mem_nhds.1 hy lemma IsCompact.elim_nhds_subcover_nhdsSet (hs : IsCompact s) {U : X → Set X} (hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Finset X, (∀ x ∈ t, x ∈ s) ∧ (⋃ x ∈ t, U x) ∈ 𝓝ˢ s := let ⟨t, ht⟩ := hs.elim_nhds_subcover_nhdsSet' (fun x _ => U x) hU ⟨t.image (↑), fun x hx => let ⟨y, _, hyx⟩ := Finset.mem_image.1 hx hyx ▸ y.2, by rwa [Finset.set_biUnion_finset_image]⟩ theorem IsCompact.elim_nhds_subcover' (hs : IsCompact s) (U : ∀ x ∈ s, Set X) (hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) : ∃ t : Finset s, s ⊆ ⋃ x ∈ t, U (x : s) x.2 := (hs.elim_nhds_subcover_nhdsSet' U hU).imp fun _ ↦ subset_of_mem_nhdsSet #align is_compact.elim_nhds_subcover' IsCompact.elim_nhds_subcover' theorem IsCompact.elim_nhds_subcover (hs : IsCompact s) (U : X → Set X) (hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Finset X, (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x := (hs.elim_nhds_subcover_nhdsSet hU).imp fun _ h ↦ h.imp_right subset_of_mem_nhdsSet #align is_compact.elim_nhds_subcover IsCompact.elim_nhds_subcover theorem IsCompact.disjoint_nhdsSet_left {l : Filter X} (hs : IsCompact s) : Disjoint (𝓝ˢ s) l ↔ ∀ x ∈ s, Disjoint (𝓝 x) l := by refine ⟨fun h x hx => h.mono_left <| nhds_le_nhdsSet hx, fun H => ?_⟩ choose! U hxU hUl using fun x hx => (nhds_basis_opens x).disjoint_iff_left.1 (H x hx) choose hxU hUo using hxU rcases hs.elim_nhds_subcover U fun x hx => (hUo x hx).mem_nhds (hxU x hx) with ⟨t, hts, hst⟩ refine (hasBasis_nhdsSet _).disjoint_iff_left.2 ⟨⋃ x ∈ t, U x, ⟨isOpen_biUnion fun x hx => hUo x (hts x hx), hst⟩, ?_⟩ rw [compl_iUnion₂, biInter_finset_mem] exact fun x hx => hUl x (hts x hx) #align is_compact.disjoint_nhds_set_left IsCompact.disjoint_nhdsSet_left theorem IsCompact.disjoint_nhdsSet_right {l : Filter X} (hs : IsCompact s) : Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left #align is_compact.disjoint_nhds_set_right IsCompact.disjoint_nhdsSet_right -- Porting note (#11215): TODO: reformulate using `Disjoint` theorem IsCompact.elim_directed_family_closed {ι : Type v} [hι : Nonempty ι] (hs : IsCompact s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) (hdt : Directed (· ⊇ ·) t) : ∃ i : ι, s ∩ t i = ∅ := let ⟨t, ht⟩ := hs.elim_directed_cover (compl ∘ t) (fun i => (htc i).isOpen_compl) (by simpa only [subset_def, not_forall, eq_empty_iff_forall_not_mem, mem_iUnion, exists_prop, mem_inter_iff, not_and, iff_self_iff, mem_iInter, mem_compl_iff] using hst) (hdt.mono_comp _ fun _ _ => compl_subset_compl.mpr) ⟨t, by simpa only [subset_def, not_forall, eq_empty_iff_forall_not_mem, mem_iUnion, exists_prop, mem_inter_iff, not_and, iff_self_iff, mem_iInter, mem_compl_iff] using ht⟩ #align is_compact.elim_directed_family_closed IsCompact.elim_directed_family_closed -- Porting note (#11215): TODO: reformulate using `Disjoint` theorem IsCompact.elim_finite_subfamily_closed {ι : Type v} (hs : IsCompact s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) : ∃ u : Finset ι, (s ∩ ⋂ i ∈ u, t i) = ∅ := hs.elim_directed_family_closed _ (fun t ↦ isClosed_biInter fun _ _ ↦ htc _) (by rwa [← iInter_eq_iInter_finset]) (directed_of_isDirected_le fun _ _ h ↦ biInter_subset_biInter_left h) #align is_compact.elim_finite_subfamily_closed IsCompact.elim_finite_subfamily_closed theorem LocallyFinite.finite_nonempty_inter_compact {f : ι → Set X} (hf : LocallyFinite f) (hs : IsCompact s) : { i | (f i ∩ s).Nonempty }.Finite := by choose U hxU hUf using hf rcases hs.elim_nhds_subcover U fun x _ => hxU x with ⟨t, -, hsU⟩ refine (t.finite_toSet.biUnion fun x _ => hUf x).subset ?_ rintro i ⟨x, hx⟩ rcases mem_iUnion₂.1 (hsU hx.2) with ⟨c, hct, hcx⟩ exact mem_biUnion hct ⟨x, hx.1, hcx⟩ #align locally_finite.finite_nonempty_inter_compact LocallyFinite.finite_nonempty_inter_compact theorem IsCompact.inter_iInter_nonempty {ι : Type v} (hs : IsCompact s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : ∀ u : Finset ι, (s ∩ ⋂ i ∈ u, t i).Nonempty) : (s ∩ ⋂ i, t i).Nonempty := by contrapose! hst exact hs.elim_finite_subfamily_closed t htc hst #align is_compact.inter_Inter_nonempty IsCompact.inter_iInter_nonempty theorem IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed {ι : Type v} [hι : Nonempty ι] (t : ι → Set X) (htd : Directed (· ⊇ ·) t) (htn : ∀ i, (t i).Nonempty) (htc : ∀ i, IsCompact (t i)) (htcl : ∀ i, IsClosed (t i)) : (⋂ i, t i).Nonempty := by let i₀ := hι.some suffices (t i₀ ∩ ⋂ i, t i).Nonempty by rwa [inter_eq_right.mpr (iInter_subset _ i₀)] at this simp only [nonempty_iff_ne_empty] at htn ⊢ apply mt ((htc i₀).elim_directed_family_closed t htcl) push_neg simp only [← nonempty_iff_ne_empty] at htn ⊢ refine ⟨htd, fun i => ?_⟩ rcases htd i₀ i with ⟨j, hji₀, hji⟩ exact (htn j).mono (subset_inter hji₀ hji) #align is_compact.nonempty_Inter_of_directed_nonempty_compact_closed IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed @[deprecated (since := "2024-02-28")] alias IsCompact.nonempty_iInter_of_directed_nonempty_compact_closed := IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed theorem IsCompact.nonempty_sInter_of_directed_nonempty_isCompact_isClosed {S : Set (Set X)} [hS : Nonempty S] (hSd : DirectedOn (· ⊇ ·) S) (hSn : ∀ U ∈ S, U.Nonempty) (hSc : ∀ U ∈ S, IsCompact U) (hScl : ∀ U ∈ S, IsClosed U) : (⋂₀ S).Nonempty := by rw [sInter_eq_iInter] exact IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed _ (DirectedOn.directed_val hSd) (fun i ↦ hSn i i.2) (fun i ↦ hSc i i.2) (fun i ↦ hScl i i.2) theorem IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed (t : ℕ → Set X) (htd : ∀ i, t (i + 1) ⊆ t i) (htn : ∀ i, (t i).Nonempty) (ht0 : IsCompact (t 0)) (htcl : ∀ i, IsClosed (t i)) : (⋂ i, t i).Nonempty := have tmono : Antitone t := antitone_nat_of_succ_le htd have htd : Directed (· ⊇ ·) t := tmono.directed_ge have : ∀ i, t i ⊆ t 0 := fun i => tmono <| zero_le i have htc : ∀ i, IsCompact (t i) := fun i => ht0.of_isClosed_subset (htcl i) (this i) IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed t htd htn htc htcl #align is_compact.nonempty_Inter_of_sequence_nonempty_compact_closed IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed @[deprecated (since := "2024-02-28")] alias IsCompact.nonempty_iInter_of_sequence_nonempty_compact_closed := IsCompact.nonempty_iInter_of_sequence_nonempty_isCompact_isClosed theorem IsCompact.elim_finite_subcover_image {b : Set ι} {c : ι → Set X} (hs : IsCompact s) (hc₁ : ∀ i ∈ b, IsOpen (c i)) (hc₂ : s ⊆ ⋃ i ∈ b, c i) : ∃ b', b' ⊆ b ∧ Set.Finite b' ∧ s ⊆ ⋃ i ∈ b', c i := by simp only [Subtype.forall', biUnion_eq_iUnion] at hc₁ hc₂ rcases hs.elim_finite_subcover (fun i => c i : b → Set X) hc₁ hc₂ with ⟨d, hd⟩ refine ⟨Subtype.val '' d.toSet, ?_, d.finite_toSet.image _, ?_⟩ · simp · rwa [biUnion_image] #align is_compact.elim_finite_subcover_image IsCompact.elim_finite_subcover_imageₓ theorem isCompact_of_finite_subcover (h : ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Finset ι, s ⊆ ⋃ i ∈ t, U i) : IsCompact s := fun f hf hfs => by contrapose! h simp only [ClusterPt, not_neBot, ← disjoint_iff, SetCoe.forall', (nhds_basis_opens _).disjoint_iff_left] at h choose U hU hUf using h refine ⟨s, U, fun x => (hU x).2, fun x hx => mem_iUnion.2 ⟨⟨x, hx⟩, (hU _).1⟩, fun t ht => ?_⟩ refine compl_not_mem (le_principal_iff.1 hfs) ?_ refine mem_of_superset ((biInter_finset_mem t).2 fun x _ => hUf x) ?_ rw [subset_compl_comm, compl_iInter₂] simpa only [compl_compl] #align is_compact_of_finite_subcover isCompact_of_finite_subcover -- Porting note (#11215): TODO: reformulate using `Disjoint` theorem isCompact_of_finite_subfamily_closed (h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Finset ι, (s ∩ ⋂ i ∈ u, t i) = ∅) : IsCompact s := isCompact_of_finite_subcover fun U hUo hsU => by rw [← disjoint_compl_right_iff_subset, compl_iUnion, disjoint_iff] at hsU rcases h (fun i => (U i)ᶜ) (fun i => (hUo _).isClosed_compl) hsU with ⟨t, ht⟩ refine ⟨t, ?_⟩ rwa [← disjoint_compl_right_iff_subset, compl_iUnion₂, disjoint_iff] #align is_compact_of_finite_subfamily_closed isCompact_of_finite_subfamily_closed theorem isCompact_iff_finite_subcover : IsCompact s ↔ ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Finset ι, s ⊆ ⋃ i ∈ t, U i := ⟨fun hs => hs.elim_finite_subcover, isCompact_of_finite_subcover⟩ #align is_compact_iff_finite_subcover isCompact_iff_finite_subcover theorem isCompact_iff_finite_subfamily_closed : IsCompact s ↔ ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Finset ι, (s ∩ ⋂ i ∈ u, t i) = ∅ := ⟨fun hs => hs.elim_finite_subfamily_closed, isCompact_of_finite_subfamily_closed⟩ #align is_compact_iff_finite_subfamily_closed isCompact_iff_finite_subfamily_closed theorem IsCompact.mem_nhdsSet_prod_of_forall {K : Set X} {l : Filter Y} {s : Set (X × Y)} (hK : IsCompact K) (hs : ∀ x ∈ K, s ∈ 𝓝 x ×ˢ l) : s ∈ (𝓝ˢ K) ×ˢ l := by refine hK.induction_on (by simp) (fun t t' ht hs ↦ ?_) (fun t t' ht ht' ↦ ?_) fun x hx ↦ ?_ · exact prod_mono (nhdsSet_mono ht) le_rfl hs · simp [sup_prod, *] · rcases ((nhds_basis_opens _).prod l.basis_sets).mem_iff.1 (hs x hx) with ⟨⟨u, v⟩, ⟨⟨hx, huo⟩, hv⟩, hs⟩ refine ⟨u, nhdsWithin_le_nhds (huo.mem_nhds hx), mem_of_superset ?_ hs⟩ exact prod_mem_prod (huo.mem_nhdsSet.2 Subset.rfl) hv theorem IsCompact.nhdsSet_prod_eq_biSup {K : Set X} (hK : IsCompact K) (l : Filter Y) : (𝓝ˢ K) ×ˢ l = ⨆ x ∈ K, 𝓝 x ×ˢ l := le_antisymm (fun s hs ↦ hK.mem_nhdsSet_prod_of_forall <| by simpa using hs) (iSup₂_le fun x hx ↦ prod_mono (nhds_le_nhdsSet hx) le_rfl) theorem IsCompact.prod_nhdsSet_eq_biSup {K : Set Y} (hK : IsCompact K) (l : Filter X) : l ×ˢ (𝓝ˢ K) = ⨆ y ∈ K, l ×ˢ 𝓝 y := by simp only [prod_comm (f := l), hK.nhdsSet_prod_eq_biSup, map_iSup] theorem IsCompact.mem_prod_nhdsSet_of_forall {K : Set Y} {l : Filter X} {s : Set (X × Y)} (hK : IsCompact K) (hs : ∀ y ∈ K, s ∈ l ×ˢ 𝓝 y) : s ∈ l ×ˢ 𝓝ˢ K := (hK.prod_nhdsSet_eq_biSup l).symm ▸ by simpa using hs -- TODO: Is there a way to prove directly the `inf` version and then deduce the `Prod` one ? -- That would seem a bit more natural. theorem IsCompact.nhdsSet_inf_eq_biSup {K : Set X} (hK : IsCompact K) (l : Filter X) : (𝓝ˢ K) ⊓ l = ⨆ x ∈ K, 𝓝 x ⊓ l := by have : ∀ f : Filter X, f ⊓ l = comap (fun x ↦ (x, x)) (f ×ˢ l) := fun f ↦ by simpa only [comap_prod] using congrArg₂ (· ⊓ ·) comap_id.symm comap_id.symm simp_rw [this, ← comap_iSup, hK.nhdsSet_prod_eq_biSup] theorem IsCompact.inf_nhdsSet_eq_biSup {K : Set X} (hK : IsCompact K) (l : Filter X) : l ⊓ (𝓝ˢ K) = ⨆ x ∈ K, l ⊓ 𝓝 x := by simp only [inf_comm l, hK.nhdsSet_inf_eq_biSup] theorem IsCompact.mem_nhdsSet_inf_of_forall {K : Set X} {l : Filter X} {s : Set X} (hK : IsCompact K) (hs : ∀ x ∈ K, s ∈ 𝓝 x ⊓ l) : s ∈ (𝓝ˢ K) ⊓ l := (hK.nhdsSet_inf_eq_biSup l).symm ▸ by simpa using hs theorem IsCompact.mem_inf_nhdsSet_of_forall {K : Set X} {l : Filter X} {s : Set X} (hK : IsCompact K) (hs : ∀ y ∈ K, s ∈ l ⊓ 𝓝 y) : s ∈ l ⊓ 𝓝ˢ K := (hK.inf_nhdsSet_eq_biSup l).symm ▸ by simpa using hs theorem IsCompact.eventually_forall_of_forall_eventually {x₀ : X} {K : Set Y} (hK : IsCompact K) {P : X → Y → Prop} (hP : ∀ y ∈ K, ∀ᶠ z : X × Y in 𝓝 (x₀, y), P z.1 z.2) : ∀ᶠ x in 𝓝 x₀, ∀ y ∈ K, P x y := by simp only [nhds_prod_eq, ← eventually_iSup, ← hK.prod_nhdsSet_eq_biSup] at hP exact hP.curry.mono fun _ h ↦ h.self_of_nhdsSet #align is_compact.eventually_forall_of_forall_eventually IsCompact.eventually_forall_of_forall_eventually @[simp] theorem isCompact_empty : IsCompact (∅ : Set X) := fun _f hnf hsf => Not.elim hnf.ne <| empty_mem_iff_bot.1 <| le_principal_iff.1 hsf #align is_compact_empty isCompact_empty @[simp] theorem isCompact_singleton {x : X} : IsCompact ({x} : Set X) := fun f hf hfa => ⟨x, rfl, ClusterPt.of_le_nhds' (hfa.trans <| by simpa only [principal_singleton] using pure_le_nhds x) hf⟩ #align is_compact_singleton isCompact_singleton theorem Set.Subsingleton.isCompact (hs : s.Subsingleton) : IsCompact s := Subsingleton.induction_on hs isCompact_empty fun _ => isCompact_singleton #align set.subsingleton.is_compact Set.Subsingleton.isCompact -- Porting note: golfed a proof instead of fixing it theorem Set.Finite.isCompact_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Finite) (hf : ∀ i ∈ s, IsCompact (f i)) : IsCompact (⋃ i ∈ s, f i) := isCompact_iff_ultrafilter_le_nhds'.2 fun l hl => by rw [Ultrafilter.finite_biUnion_mem_iff hs] at hl rcases hl with ⟨i, his, hi⟩ rcases (hf i his).ultrafilter_le_nhds _ (le_principal_iff.2 hi) with ⟨x, hxi, hlx⟩ exact ⟨x, mem_iUnion₂.2 ⟨i, his, hxi⟩, hlx⟩ #align set.finite.is_compact_bUnion Set.Finite.isCompact_biUnion theorem Finset.isCompact_biUnion (s : Finset ι) {f : ι → Set X} (hf : ∀ i ∈ s, IsCompact (f i)) : IsCompact (⋃ i ∈ s, f i) := s.finite_toSet.isCompact_biUnion hf #align finset.is_compact_bUnion Finset.isCompact_biUnion theorem isCompact_accumulate {K : ℕ → Set X} (hK : ∀ n, IsCompact (K n)) (n : ℕ) : IsCompact (Accumulate K n) := (finite_le_nat n).isCompact_biUnion fun k _ => hK k #align is_compact_accumulate isCompact_accumulate -- Porting note (#10756): new lemma theorem Set.Finite.isCompact_sUnion {S : Set (Set X)} (hf : S.Finite) (hc : ∀ s ∈ S, IsCompact s) : IsCompact (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isCompact_biUnion hc -- Porting note: generalized to `ι : Sort*` theorem isCompact_iUnion {ι : Sort*} {f : ι → Set X} [Finite ι] (h : ∀ i, IsCompact (f i)) : IsCompact (⋃ i, f i) := (finite_range f).isCompact_sUnion <| forall_mem_range.2 h #align is_compact_Union isCompact_iUnion theorem Set.Finite.isCompact (hs : s.Finite) : IsCompact s := biUnion_of_singleton s ▸ hs.isCompact_biUnion fun _ _ => isCompact_singleton #align set.finite.is_compact Set.Finite.isCompact theorem IsCompact.finite_of_discrete [DiscreteTopology X] (hs : IsCompact s) : s.Finite := by have : ∀ x : X, ({x} : Set X) ∈ 𝓝 x := by simp [nhds_discrete] rcases hs.elim_nhds_subcover (fun x => {x}) fun x _ => this x with ⟨t, _, hst⟩ simp only [← t.set_biUnion_coe, biUnion_of_singleton] at hst exact t.finite_toSet.subset hst #align is_compact.finite_of_discrete IsCompact.finite_of_discrete theorem isCompact_iff_finite [DiscreteTopology X] : IsCompact s ↔ s.Finite := ⟨fun h => h.finite_of_discrete, fun h => h.isCompact⟩ #align is_compact_iff_finite isCompact_iff_finite theorem IsCompact.union (hs : IsCompact s) (ht : IsCompact t) : IsCompact (s ∪ t) := by rw [union_eq_iUnion]; exact isCompact_iUnion fun b => by cases b <;> assumption #align is_compact.union IsCompact.union protected theorem IsCompact.insert (hs : IsCompact s) (a) : IsCompact (insert a s) := isCompact_singleton.union hs #align is_compact.insert IsCompact.insert -- Porting note (#11215): TODO: reformulate using `𝓝ˢ` theorem exists_subset_nhds_of_isCompact' [Nonempty ι] {V : ι → Set X} (hV : Directed (· ⊇ ·) V) (hV_cpct : ∀ i, IsCompact (V i)) (hV_closed : ∀ i, IsClosed (V i)) {U : Set X} (hU : ∀ x ∈ ⋂ i, V i, U ∈ 𝓝 x) : ∃ i, V i ⊆ U := by obtain ⟨W, hsubW, W_op, hWU⟩ := exists_open_set_nhds hU suffices ∃ i, V i ⊆ W from this.imp fun i hi => hi.trans hWU by_contra! H replace H : ∀ i, (V i ∩ Wᶜ).Nonempty := fun i => Set.inter_compl_nonempty_iff.mpr (H i) have : (⋂ i, V i ∩ Wᶜ).Nonempty := by refine IsCompact.nonempty_iInter_of_directed_nonempty_isCompact_isClosed _ (fun i j => ?_) H (fun i => (hV_cpct i).inter_right W_op.isClosed_compl) fun i => (hV_closed i).inter W_op.isClosed_compl rcases hV i j with ⟨k, hki, hkj⟩ refine ⟨k, ⟨fun x => ?_, fun x => ?_⟩⟩ <;> simp only [and_imp, mem_inter_iff, mem_compl_iff] <;> tauto have : ¬⋂ i : ι, V i ⊆ W := by simpa [← iInter_inter, inter_compl_nonempty_iff] contradiction #align exists_subset_nhds_of_is_compact' exists_subset_nhds_of_isCompact' lemma eq_finite_iUnion_of_isTopologicalBasis_of_isCompact_open (b : ι → Set X) (hb : IsTopologicalBasis (Set.range b)) (U : Set X) (hUc : IsCompact U) (hUo : IsOpen U) : ∃ s : Set ι, s.Finite ∧ U = ⋃ i ∈ s, b i := by obtain ⟨Y, f, e, hf⟩ := hb.open_eq_iUnion hUo choose f' hf' using hf have : b ∘ f' = f := funext hf' subst this obtain ⟨t, ht⟩ := hUc.elim_finite_subcover (b ∘ f') (fun i => hb.isOpen (Set.mem_range_self _)) (by rw [e]) refine ⟨t.image f', Set.toFinite _, le_antisymm ?_ ?_⟩ · refine Set.Subset.trans ht ?_ simp only [Set.iUnion_subset_iff] intro i hi erw [← Set.iUnion_subtype (fun x : ι => x ∈ t.image f') fun i => b i.1] exact Set.subset_iUnion (fun i : t.image f' => b i) ⟨_, Finset.mem_image_of_mem _ hi⟩ · apply Set.iUnion₂_subset rintro i hi obtain ⟨j, -, rfl⟩ := Finset.mem_image.mp hi rw [e] exact Set.subset_iUnion (b ∘ f') j lemma eq_sUnion_finset_of_isTopologicalBasis_of_isCompact_open (b : Set (Set X)) (hb : IsTopologicalBasis b) (U : Set X) (hUc : IsCompact U) (hUo : IsOpen U) : ∃ s : Finset b, U = s.toSet.sUnion := by have hb' : b = range (fun i ↦ i : b → Set X) := by simp rw [hb'] at hb choose s hs hU using eq_finite_iUnion_of_isTopologicalBasis_of_isCompact_open _ hb U hUc hUo have : Finite s := hs let _ : Fintype s := Fintype.ofFinite _ use s.toFinset simp [hU] theorem isCompact_open_iff_eq_finite_iUnion_of_isTopologicalBasis (b : ι → Set X) (hb : IsTopologicalBasis (Set.range b)) (hb' : ∀ i, IsCompact (b i)) (U : Set X) : IsCompact U ∧ IsOpen U ↔ ∃ s : Set ι, s.Finite ∧ U = ⋃ i ∈ s, b i := by constructor · exact fun ⟨h₁, h₂⟩ ↦ eq_finite_iUnion_of_isTopologicalBasis_of_isCompact_open _ hb U h₁ h₂ · rintro ⟨s, hs, rfl⟩ constructor · exact hs.isCompact_biUnion fun i _ => hb' i · exact isOpen_biUnion fun i _ => hb.isOpen (Set.mem_range_self _) #align is_compact_open_iff_eq_finite_Union_of_is_topological_basis isCompact_open_iff_eq_finite_iUnion_of_isTopologicalBasis namespace Filter theorem hasBasis_cocompact : (cocompact X).HasBasis IsCompact compl := hasBasis_biInf_principal' (fun s hs t ht => ⟨s ∪ t, hs.union ht, compl_subset_compl.2 subset_union_left, compl_subset_compl.2 subset_union_right⟩) ⟨∅, isCompact_empty⟩ #align filter.has_basis_cocompact Filter.hasBasis_cocompact theorem mem_cocompact : s ∈ cocompact X ↔ ∃ t, IsCompact t ∧ tᶜ ⊆ s := hasBasis_cocompact.mem_iff #align filter.mem_cocompact Filter.mem_cocompact theorem mem_cocompact' : s ∈ cocompact X ↔ ∃ t, IsCompact t ∧ sᶜ ⊆ t := mem_cocompact.trans <| exists_congr fun _ => and_congr_right fun _ => compl_subset_comm #align filter.mem_cocompact' Filter.mem_cocompact' theorem _root_.IsCompact.compl_mem_cocompact (hs : IsCompact s) : sᶜ ∈ Filter.cocompact X := hasBasis_cocompact.mem_of_mem hs #align is_compact.compl_mem_cocompact IsCompact.compl_mem_cocompact theorem cocompact_le_cofinite : cocompact X ≤ cofinite := fun s hs => compl_compl s ▸ hs.isCompact.compl_mem_cocompact #align filter.cocompact_le_cofinite Filter.cocompact_le_cofinite
Mathlib/Topology/Compactness/Compact.lean
625
627
theorem cocompact_eq_cofinite (X : Type*) [TopologicalSpace X] [DiscreteTopology X] : cocompact X = cofinite := by
simp only [cocompact, hasBasis_cofinite.eq_biInf, isCompact_iff_finite]
import Mathlib.Algebra.FreeMonoid.Basic import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.GroupTheory.Congruence.Basic import Mathlib.GroupTheory.FreeGroup.IsFreeGroup import Mathlib.Data.List.Chain import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Data.Set.Pointwise.SMul #align_import group_theory.free_product from "leanprover-community/mathlib"@"9114ddffa023340c9ec86965e00cdd6fe26fcdf6" open Set variable {ι : Type*} (M : ι → Type*) [∀ i, Monoid (M i)] inductive Monoid.CoprodI.Rel : FreeMonoid (Σi, M i) → FreeMonoid (Σi, M i) → Prop | of_one (i : ι) : Monoid.CoprodI.Rel (FreeMonoid.of ⟨i, 1⟩) 1 | of_mul {i : ι} (x y : M i) : Monoid.CoprodI.Rel (FreeMonoid.of ⟨i, x⟩ * FreeMonoid.of ⟨i, y⟩) (FreeMonoid.of ⟨i, x * y⟩) #align free_product.rel Monoid.CoprodI.Rel def Monoid.CoprodI : Type _ := (conGen (Monoid.CoprodI.Rel M)).Quotient #align free_product Monoid.CoprodI -- Porting note: could not de derived instance : Monoid (Monoid.CoprodI M) := by delta Monoid.CoprodI; infer_instance instance : Inhabited (Monoid.CoprodI M) := ⟨1⟩ namespace Monoid.CoprodI @[ext] structure Word where toList : List (Σi, M i) ne_one : ∀ l ∈ toList, Sigma.snd l ≠ 1 chain_ne : toList.Chain' fun l l' => Sigma.fst l ≠ Sigma.fst l' #align free_product.word Monoid.CoprodI.Word variable {M} def of {i : ι} : M i →* CoprodI M where toFun x := Con.mk' _ (FreeMonoid.of <| Sigma.mk i x) map_one' := (Con.eq _).mpr (ConGen.Rel.of _ _ (CoprodI.Rel.of_one i)) map_mul' x y := Eq.symm <| (Con.eq _).mpr (ConGen.Rel.of _ _ (CoprodI.Rel.of_mul x y)) #align free_product.of Monoid.CoprodI.of theorem of_apply {i} (m : M i) : of m = Con.mk' _ (FreeMonoid.of <| Sigma.mk i m) := rfl #align free_product.of_apply Monoid.CoprodI.of_apply variable {N : Type*} [Monoid N] -- Porting note: higher `ext` priority @[ext 1100] theorem ext_hom (f g : CoprodI M →* N) (h : ∀ i, f.comp (of : M i →* _) = g.comp of) : f = g := (MonoidHom.cancel_right Con.mk'_surjective).mp <| FreeMonoid.hom_eq fun ⟨i, x⟩ => by -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [MonoidHom.comp_apply, MonoidHom.comp_apply, ← of_apply, ← MonoidHom.comp_apply, ← MonoidHom.comp_apply, h]; rfl #align free_product.ext_hom Monoid.CoprodI.ext_hom @[simps symm_apply] def lift : (∀ i, M i →* N) ≃ (CoprodI M →* N) where toFun fi := Con.lift _ (FreeMonoid.lift fun p : Σi, M i => fi p.fst p.snd) <| Con.conGen_le <| by simp_rw [Con.ker_rel] rintro _ _ (i | ⟨x, y⟩) · change FreeMonoid.lift _ (FreeMonoid.of _) = FreeMonoid.lift _ 1 simp only [MonoidHom.map_one, FreeMonoid.lift_eval_of] · change FreeMonoid.lift _ (FreeMonoid.of _ * FreeMonoid.of _) = FreeMonoid.lift _ (FreeMonoid.of _) simp only [MonoidHom.map_mul, FreeMonoid.lift_eval_of] invFun f i := f.comp of left_inv := by intro fi ext i x -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [MonoidHom.comp_apply, of_apply, Con.lift_mk', FreeMonoid.lift_eval_of] right_inv := by intro f ext i x rfl #align free_product.lift Monoid.CoprodI.lift @[simp] theorem lift_comp_of {N} [Monoid N] (fi : ∀ i, M i →* N) i : (lift fi).comp of = fi i := congr_fun (lift.symm_apply_apply fi) i @[simp] theorem lift_of {N} [Monoid N] (fi : ∀ i, M i →* N) {i} (m : M i) : lift fi (of m) = fi i m := DFunLike.congr_fun (lift_comp_of ..) m #align free_product.lift_of Monoid.CoprodI.lift_of @[simp] theorem lift_comp_of' {N} [Monoid N] (f : CoprodI M →* N) : lift (fun i ↦ f.comp (of (i := i))) = f := lift.apply_symm_apply f @[simp] theorem lift_of' : lift (fun i ↦ (of : M i →* CoprodI M)) = .id (CoprodI M) := lift_comp_of' (.id _) theorem of_leftInverse [DecidableEq ι] (i : ι) : Function.LeftInverse (lift <| Pi.mulSingle i (MonoidHom.id (M i))) of := fun x => by simp only [lift_of, Pi.mulSingle_eq_same, MonoidHom.id_apply] #align free_product.of_left_inverse Monoid.CoprodI.of_leftInverse theorem of_injective (i : ι) : Function.Injective (of : M i →* _) := by classical exact (of_leftInverse i).injective #align free_product.of_injective Monoid.CoprodI.of_injective theorem mrange_eq_iSup {N} [Monoid N] (f : ∀ i, M i →* N) : MonoidHom.mrange (lift f) = ⨆ i, MonoidHom.mrange (f i) := by rw [lift, Equiv.coe_fn_mk, Con.lift_range, FreeMonoid.mrange_lift, range_sigma_eq_iUnion_range, Submonoid.closure_iUnion] simp only [MonoidHom.mclosure_range] #align free_product.mrange_eq_supr Monoid.CoprodI.mrange_eq_iSup theorem lift_mrange_le {N} [Monoid N] (f : ∀ i, M i →* N) {s : Submonoid N} : MonoidHom.mrange (lift f) ≤ s ↔ ∀ i, MonoidHom.mrange (f i) ≤ s := by simp [mrange_eq_iSup] #align free_product.lift_mrange_le Monoid.CoprodI.lift_mrange_le @[simp] theorem iSup_mrange_of : ⨆ i, MonoidHom.mrange (of : M i →* CoprodI M) = ⊤ := by simp [← mrange_eq_iSup] @[simp] theorem mclosure_iUnion_range_of : Submonoid.closure (⋃ i, Set.range (of : M i →* CoprodI M)) = ⊤ := by simp [Submonoid.closure_iUnion] @[elab_as_elim] theorem induction_left {C : CoprodI M → Prop} (m : CoprodI M) (one : C 1) (mul : ∀ {i} (m : M i) x, C x → C (of m * x)) : C m := by induction m using Submonoid.induction_of_closure_eq_top_left mclosure_iUnion_range_of with | one => exact one | mul x hx y ihy => obtain ⟨i, m, rfl⟩ : ∃ (i : ι) (m : M i), of m = x := by simpa using hx exact mul m y ihy @[elab_as_elim] theorem induction_on {C : CoprodI M → Prop} (m : CoprodI M) (h_one : C 1) (h_of : ∀ (i) (m : M i), C (of m)) (h_mul : ∀ x y, C x → C y → C (x * y)) : C m := by induction m using CoprodI.induction_left with | one => exact h_one | mul m x hx => exact h_mul _ _ (h_of _ _) hx #align free_product.induction_on Monoid.CoprodI.induction_on namespace Word @[simps] def empty : Word M where toList := [] ne_one := by simp chain_ne := List.chain'_nil #align free_product.word.empty Monoid.CoprodI.Word.empty instance : Inhabited (Word M) := ⟨empty⟩ def prod (w : Word M) : CoprodI M := List.prod (w.toList.map fun l => of l.snd) #align free_product.word.prod Monoid.CoprodI.Word.prod @[simp] theorem prod_empty : prod (empty : Word M) = 1 := rfl #align free_product.word.prod_empty Monoid.CoprodI.Word.prod_empty def fstIdx (w : Word M) : Option ι := w.toList.head?.map Sigma.fst #align free_product.word.fst_idx Monoid.CoprodI.Word.fstIdx theorem fstIdx_ne_iff {w : Word M} {i} : fstIdx w ≠ some i ↔ ∀ l ∈ w.toList.head?, i ≠ Sigma.fst l := not_iff_not.mp <| by simp [fstIdx] #align free_product.word.fst_idx_ne_iff Monoid.CoprodI.Word.fstIdx_ne_iff variable (M) @[ext] structure Pair (i : ι) where head : M i tail : Word M fstIdx_ne : fstIdx tail ≠ some i #align free_product.word.pair Monoid.CoprodI.Word.Pair instance (i : ι) : Inhabited (Pair M i) := ⟨⟨1, empty, by tauto⟩⟩ variable {M} variable [∀ i, DecidableEq (M i)] @[simps] def cons {i} (m : M i) (w : Word M) (hmw : w.fstIdx ≠ some i) (h1 : m ≠ 1) : Word M := { toList := ⟨i, m⟩ :: w.toList, ne_one := by simp only [List.mem_cons] rintro l (rfl | hl) · exact h1 · exact w.ne_one l hl chain_ne := w.chain_ne.cons' (fstIdx_ne_iff.mp hmw) } def rcons {i} (p : Pair M i) : Word M := if h : p.head = 1 then p.tail else cons p.head p.tail p.fstIdx_ne h #align free_product.word.rcons Monoid.CoprodI.Word.rcons #noalign free_product.word.cons_eq_rcons @[simp] theorem prod_rcons {i} (p : Pair M i) : prod (rcons p) = of p.head * prod p.tail := if hm : p.head = 1 then by rw [rcons, dif_pos hm, hm, MonoidHom.map_one, one_mul] else by rw [rcons, dif_neg hm, cons, prod, List.map_cons, List.prod_cons, prod] #align free_product.word.prod_rcons Monoid.CoprodI.Word.prod_rcons theorem rcons_inj {i} : Function.Injective (rcons : Pair M i → Word M) := by rintro ⟨m, w, h⟩ ⟨m', w', h'⟩ he by_cases hm : m = 1 <;> by_cases hm' : m' = 1 · simp only [rcons, dif_pos hm, dif_pos hm'] at he aesop · exfalso simp only [rcons, dif_pos hm, dif_neg hm'] at he rw [he] at h exact h rfl · exfalso simp only [rcons, dif_pos hm', dif_neg hm] at he rw [← he] at h' exact h' rfl · have : m = m' ∧ w.toList = w'.toList := by simpa [cons, rcons, dif_neg hm, dif_neg hm', true_and_iff, eq_self_iff_true, Subtype.mk_eq_mk, heq_iff_eq, ← Subtype.ext_iff_val] using he rcases this with ⟨rfl, h⟩ congr exact Word.ext _ _ h #align free_product.word.rcons_inj Monoid.CoprodI.Word.rcons_inj theorem mem_rcons_iff {i j : ι} (p : Pair M i) (m : M j) : ⟨_, m⟩ ∈ (rcons p).toList ↔ ⟨_, m⟩ ∈ p.tail.toList ∨ m ≠ 1 ∧ (∃ h : i = j, m = h ▸ p.head) := by simp only [rcons, cons, ne_eq] by_cases hij : i = j · subst i by_cases hm : m = p.head · subst m split_ifs <;> simp_all · split_ifs <;> simp_all · split_ifs <;> simp_all [Ne.symm hij] @[simp] theorem fstIdx_cons {i} (m : M i) (w : Word M) (hmw : w.fstIdx ≠ some i) (h1 : m ≠ 1) : fstIdx (cons m w hmw h1) = some i := by simp [cons, fstIdx] @[simp] theorem prod_cons (i) (m : M i) (w : Word M) (h1 : m ≠ 1) (h2 : w.fstIdx ≠ some i) : prod (cons m w h2 h1) = of m * prod w := by simp [cons, prod, List.map_cons, List.prod_cons] @[elab_as_elim] def consRecOn {motive : Word M → Sort*} (w : Word M) (h_empty : motive empty) (h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) : motive w := by rcases w with ⟨w, h1, h2⟩ induction w with | nil => exact h_empty | cons m w ih => refine h_cons m.1 m.2 ⟨w, fun _ hl => h1 _ (List.mem_cons_of_mem _ hl), h2.tail⟩ ?_ ?_ (ih _ _) · rw [List.chain'_cons'] at h2 simp only [fstIdx, ne_eq, Option.map_eq_some', Sigma.exists, exists_and_right, exists_eq_right, not_exists] intro m' hm' exact h2.1 _ hm' rfl · exact h1 _ (List.mem_cons_self _ _) @[simp] theorem consRecOn_empty {motive : Word M → Sort*} (h_empty : motive empty) (h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) : consRecOn empty h_empty h_cons = h_empty := rfl @[simp] theorem consRecOn_cons {motive : Word M → Sort*} (i) (m : M i) (w : Word M) h1 h2 (h_empty : motive empty) (h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) : consRecOn (cons m w h1 h2) h_empty h_cons = h_cons i m w h1 h2 (consRecOn w h_empty h_cons) := rfl variable [DecidableEq ι] -- This definition is computable but not very nice to look at. Thankfully we don't have to inspect -- it, since `rcons` is known to be injective. private def equivPairAux (i) (w : Word M) : { p : Pair M i // rcons p = w } := consRecOn w ⟨⟨1, .empty, by simp [fstIdx, empty]⟩, by simp [rcons]⟩ <| fun j m w h1 h2 _ => if ij : i = j then { val := { head := ij ▸ m tail := w fstIdx_ne := ij ▸ h1 } property := by subst ij; simp [rcons, h2] } else ⟨⟨1, cons m w h1 h2, by simp [cons, fstIdx, Ne.symm ij]⟩, by simp [rcons]⟩ def equivPair (i) : Word M ≃ Pair M i where toFun w := (equivPairAux i w).val invFun := rcons left_inv w := (equivPairAux i w).property right_inv _ := rcons_inj (equivPairAux i _).property #align free_product.word.equiv_pair Monoid.CoprodI.Word.equivPair theorem equivPair_symm (i) (p : Pair M i) : (equivPair i).symm p = rcons p := rfl #align free_product.word.equiv_pair_symm Monoid.CoprodI.Word.equivPair_symm theorem equivPair_eq_of_fstIdx_ne {i} {w : Word M} (h : fstIdx w ≠ some i) : equivPair i w = ⟨1, w, h⟩ := (equivPair i).apply_eq_iff_eq_symm_apply.mpr <| Eq.symm (dif_pos rfl) #align free_product.word.equiv_pair_eq_of_fst_idx_ne Monoid.CoprodI.Word.equivPair_eq_of_fstIdx_ne theorem mem_equivPair_tail_iff {i j : ι} {w : Word M} (m : M i) : (⟨i, m⟩ ∈ (equivPair j w).tail.toList) ↔ ⟨i, m⟩ ∈ w.toList.tail ∨ i ≠ j ∧ ∃ h : w.toList ≠ [], w.toList.head h = ⟨i, m⟩ := by simp only [equivPair, equivPairAux, ne_eq, Equiv.coe_fn_mk] induction w using consRecOn with | h_empty => simp | h_cons k g tail h1 h2 ih => simp only [consRecOn_cons] split_ifs with h · subst k by_cases hij : j = i <;> simp_all · by_cases hik : i = k · subst i; simp_all [@eq_comm _ m g, @eq_comm _ k j, or_comm] · simp [hik, Ne.symm hik] theorem mem_of_mem_equivPair_tail {i j : ι} {w : Word M} (m : M i) : (⟨i, m⟩ ∈ (equivPair j w).tail.toList) → ⟨i, m⟩ ∈ w.toList := by rw [mem_equivPair_tail_iff] rintro (h | h) · exact List.mem_of_mem_tail h · revert h; cases w.toList <;> simp (config := {contextual := true}) theorem equivPair_head {i : ι} {w : Word M} : (equivPair i w).head = if h : ∃ (h : w.toList ≠ []), (w.toList.head h).1 = i then h.snd ▸ (w.toList.head h.1).2 else 1 := by simp only [equivPair, equivPairAux] induction w using consRecOn with | h_empty => simp | h_cons head => by_cases hi : i = head · subst hi; simp · simp [hi, Ne.symm hi] instance summandAction (i) : MulAction (M i) (Word M) where smul m w := rcons { equivPair i w with head := m * (equivPair i w).head } one_smul w := by apply (equivPair i).symm_apply_eq.mpr simp [equivPair] mul_smul m m' w := by dsimp [instHSMul] simp [mul_assoc, ← equivPair_symm, Equiv.apply_symm_apply] #align free_product.word.summand_action Monoid.CoprodI.Word.summandAction instance : MulAction (CoprodI M) (Word M) := MulAction.ofEndHom (lift fun _ => MulAction.toEndHom) theorem smul_def {i} (m : M i) (w : Word M) : m • w = rcons { equivPair i w with head := m * (equivPair i w).head } := rfl theorem of_smul_def (i) (w : Word M) (m : M i) : of m • w = rcons { equivPair i w with head := m * (equivPair i w).head } := rfl #align free_product.word.of_smul_def Monoid.CoprodI.Word.of_smul_def theorem equivPair_smul_same {i} (m : M i) (w : Word M) : equivPair i (of m • w) = ⟨m * (equivPair i w).head, (equivPair i w).tail, (equivPair i w).fstIdx_ne⟩ := by rw [of_smul_def, ← equivPair_symm] simp @[simp] theorem equivPair_tail {i} (p : Pair M i) : equivPair i p.tail = ⟨1, p.tail, p.fstIdx_ne⟩ := equivPair_eq_of_fstIdx_ne _ theorem smul_eq_of_smul {i} (m : M i) (w : Word M) : m • w = of m • w := rfl theorem mem_smul_iff {i j : ι} {m₁ : M i} {m₂ : M j} {w : Word M} : ⟨_, m₁⟩ ∈ (of m₂ • w).toList ↔ (¬i = j ∧ ⟨i, m₁⟩ ∈ w.toList) ∨ (m₁ ≠ 1 ∧ ∃ (hij : i = j),(⟨i, m₁⟩ ∈ w.toList.tail) ∨ (∃ m', ⟨j, m'⟩ ∈ w.toList.head? ∧ m₁ = hij ▸ (m₂ * m')) ∨ (w.fstIdx ≠ some j ∧ m₁ = hij ▸ m₂)) := by rw [of_smul_def, mem_rcons_iff, mem_equivPair_tail_iff, equivPair_head, or_assoc] by_cases hij : i = j · subst i simp only [not_true, ne_eq, false_and, exists_prop, true_and, false_or] by_cases hw : ⟨j, m₁⟩ ∈ w.toList.tail · simp [hw, show m₁ ≠ 1 from w.ne_one _ (List.mem_of_mem_tail hw)] · simp only [hw, false_or, Option.mem_def, ne_eq, and_congr_right_iff] intro hm1 split_ifs with h · rcases h with ⟨hnil, rfl⟩ simp only [List.head?_eq_head _ hnil, Option.some.injEq, ne_eq] constructor · rintro rfl exact Or.inl ⟨_, rfl, rfl⟩ · rintro (⟨_, h, rfl⟩ | hm') · simp [Sigma.ext_iff] at h subst h rfl · simp only [fstIdx, Option.map_eq_some', Sigma.exists, exists_and_right, exists_eq_right, not_exists, ne_eq] at hm' exact (hm'.1 (w.toList.head hnil).2 (by rw [List.head?_eq_head])).elim · revert h rw [fstIdx] cases w.toList · simp · simp (config := {contextual := true}) [Sigma.ext_iff] · rcases w with ⟨_ | _, _, _⟩ <;> simp [or_comm, hij, Ne.symm hij]; rw [eq_comm] theorem mem_smul_iff_of_ne {i j : ι} (hij : i ≠ j) {m₁ : M i} {m₂ : M j} {w : Word M} : ⟨_, m₁⟩ ∈ (of m₂ • w).toList ↔ ⟨i, m₁⟩ ∈ w.toList := by simp [mem_smul_iff, *] theorem cons_eq_smul {i} {m : M i} {ls h1 h2} : cons m ls h1 h2 = of m • ls := by rw [of_smul_def, equivPair_eq_of_fstIdx_ne _] · simp [cons, rcons, h2] · exact h1 #align free_product.word.cons_eq_smul Monoid.CoprodI.Word.cons_eq_smul
Mathlib/GroupTheory/CoprodI.lean
595
597
theorem rcons_eq_smul {i} (p : Pair M i) : rcons p = of p.head • p.tail := by
simp [of_smul_def]
import Mathlib.Algebra.Algebra.Spectrum import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.RingTheory.Nilpotent.Basic #align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" universe u v w namespace Module namespace End open FiniteDimensional Set variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K] [AddCommGroup V] [Module K V] def eigenspace (f : End R M) (μ : R) : Submodule R M := LinearMap.ker (f - algebraMap R (End R M) μ) #align module.End.eigenspace Module.End.eigenspace @[simp] theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace] #align module.End.eigenspace_zero Module.End.eigenspace_zero def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop := x ∈ eigenspace f μ ∧ x ≠ 0 #align module.End.has_eigenvector Module.End.HasEigenvector def HasEigenvalue (f : End R M) (a : R) : Prop := eigenspace f a ≠ ⊥ #align module.End.has_eigenvalue Module.End.HasEigenvalue def Eigenvalues (f : End R M) : Type _ := { μ : R // f.HasEigenvalue μ } #align module.End.eigenvalues Module.End.Eigenvalues @[coe] def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where coe := Eigenvalues.val f instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) : DecidableEq (Eigenvalues f) := inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x))) theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) : HasEigenvalue f μ := by rw [HasEigenvalue, Submodule.ne_bot_iff] use x; exact h #align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero] #align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) : f x = μ • x := mem_eigenspace_iff.mp hx.1 #align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) : (f ^ n) v = μ ^ n • v := by induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ] theorem HasEigenvalue.exists_hasEigenvector {f : End R M} {μ : R} (hμ : f.HasEigenvalue μ) : ∃ v, f.HasEigenvector μ v := Submodule.exists_mem_ne_zero_of_ne_bot hμ #align module.End.has_eigenvalue.exists_has_eigenvector Module.End.HasEigenvalue.exists_hasEigenvector lemma HasEigenvalue.pow {f : End R M} {μ : R} (h : f.HasEigenvalue μ) (n : ℕ) : (f ^ n).HasEigenvalue (μ ^ n) := by rw [HasEigenvalue, Submodule.ne_bot_iff] obtain ⟨m : M, hm⟩ := h.exists_hasEigenvector exact ⟨m, by simpa [mem_eigenspace_iff] using hm.pow_apply n, hm.2⟩ lemma HasEigenvalue.isNilpotent_of_isNilpotent [NoZeroSMulDivisors R M] {f : End R M} (hfn : IsNilpotent f) {μ : R} (hf : f.HasEigenvalue μ) : IsNilpotent μ := by obtain ⟨m : M, hm⟩ := hf.exists_hasEigenvector obtain ⟨n : ℕ, hn : f ^ n = 0⟩ := hfn exact ⟨n, by simpa [hn, hm.2, eq_comm (a := (0 : M))] using hm.pow_apply n⟩
Mathlib/LinearAlgebra/Eigenspace/Basic.lean
138
144
theorem HasEigenvalue.mem_spectrum {f : End R M} {μ : R} (hμ : HasEigenvalue f μ) : μ ∈ spectrum R f := by
refine spectrum.mem_iff.mpr fun h_unit => ?_ set f' := LinearMap.GeneralLinearGroup.toLinearEquiv h_unit.unit rcases hμ.exists_hasEigenvector with ⟨v, hv⟩ refine hv.2 ((LinearMap.ker_eq_bot'.mp f'.ker) v (?_ : μ • v - f v = 0)) rw [hv.apply_eq_smul, sub_self]
import Mathlib.Topology.Algebra.Ring.Basic import Mathlib.Topology.Algebra.MulAction import Mathlib.Topology.Algebra.UniformGroup import Mathlib.Topology.ContinuousFunction.Basic import Mathlib.Topology.UniformSpace.UniformEmbedding import Mathlib.Algebra.Algebra.Defs import Mathlib.LinearAlgebra.Projection import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Finsupp #align_import topology.algebra.module.basic from "leanprover-community/mathlib"@"6285167a053ad0990fc88e56c48ccd9fae6550eb" open LinearMap (ker range) open Topology Filter Pointwise universe u v w u' section variable {R : Type*} {M : Type*} [Ring R] [TopologicalSpace R] [TopologicalSpace M] [AddCommGroup M] [Module R M] theorem ContinuousSMul.of_nhds_zero [TopologicalRing R] [TopologicalAddGroup M] (hmul : Tendsto (fun p : R × M => p.1 • p.2) (𝓝 0 ×ˢ 𝓝 0) (𝓝 0)) (hmulleft : ∀ m : M, Tendsto (fun a : R => a • m) (𝓝 0) (𝓝 0)) (hmulright : ∀ a : R, Tendsto (fun m : M => a • m) (𝓝 0) (𝓝 0)) : ContinuousSMul R M where continuous_smul := by refine continuous_of_continuousAt_zero₂ (AddMonoidHom.smul : R →+ M →+ M) ?_ ?_ ?_ <;> simpa [ContinuousAt, nhds_prod_eq] #align has_continuous_smul.of_nhds_zero ContinuousSMul.of_nhds_zero end section variable {R : Type*} {M : Type*} [Ring R] [TopologicalSpace R] [TopologicalSpace M] [AddCommGroup M] [ContinuousAdd M] [Module R M] [ContinuousSMul R M] theorem Submodule.eq_top_of_nonempty_interior' [NeBot (𝓝[{ x : R | IsUnit x }] 0)] (s : Submodule R M) (hs : (interior (s : Set M)).Nonempty) : s = ⊤ := by rcases hs with ⟨y, hy⟩ refine Submodule.eq_top_iff'.2 fun x => ?_ rw [mem_interior_iff_mem_nhds] at hy have : Tendsto (fun c : R => y + c • x) (𝓝[{ x : R | IsUnit x }] 0) (𝓝 (y + (0 : R) • x)) := tendsto_const_nhds.add ((tendsto_nhdsWithin_of_tendsto_nhds tendsto_id).smul tendsto_const_nhds) rw [zero_smul, add_zero] at this obtain ⟨_, hu : y + _ • _ ∈ s, u, rfl⟩ := nonempty_of_mem (inter_mem (Filter.mem_map.1 (this hy)) self_mem_nhdsWithin) have hy' : y ∈ ↑s := mem_of_mem_nhds hy rwa [s.add_mem_iff_right hy', ← Units.smul_def, s.smul_mem_iff' u] at hu #align submodule.eq_top_of_nonempty_interior' Submodule.eq_top_of_nonempty_interior' variable (R M)
Mathlib/Topology/Algebra/Module/Basic.lean
86
94
theorem Module.punctured_nhds_neBot [Nontrivial M] [NeBot (𝓝[≠] (0 : R))] [NoZeroSMulDivisors R M] (x : M) : NeBot (𝓝[≠] x) := by
rcases exists_ne (0 : M) with ⟨y, hy⟩ suffices Tendsto (fun c : R => x + c • y) (𝓝[≠] 0) (𝓝[≠] x) from this.neBot refine Tendsto.inf ?_ (tendsto_principal_principal.2 <| ?_) · convert tendsto_const_nhds.add ((@tendsto_id R _).smul_const y) rw [zero_smul, add_zero] · intro c hc simpa [hy] using hc
import Mathlib.Algebra.Homology.HomologicalComplex import Mathlib.AlgebraicTopology.SimplicialObject import Mathlib.CategoryTheory.Abelian.Basic #align_import algebraic_topology.Moore_complex from "leanprover-community/mathlib"@"0bd2ea37bcba5769e14866170f251c9bc64e35d7" universe v u noncomputable section open CategoryTheory CategoryTheory.Limits open Opposite namespace AlgebraicTopology variable {C : Type*} [Category C] [Abelian C] attribute [local instance] Abelian.hasPullbacks namespace NormalizedMooreComplex open CategoryTheory.Subobject variable (X : SimplicialObject C) def objX : ∀ n : ℕ, Subobject (X.obj (op (SimplexCategory.mk n))) | 0 => ⊤ | n + 1 => Finset.univ.inf fun k : Fin (n + 1) => kernelSubobject (X.δ k.succ) set_option linter.uppercaseLean3 false in #align algebraic_topology.normalized_Moore_complex.obj_X AlgebraicTopology.NormalizedMooreComplex.objX theorem objX_zero : objX X 0 = ⊤ := rfl theorem objX_add_one (n) : objX X (n + 1) = Finset.univ.inf fun k : Fin (n + 1) => kernelSubobject (X.δ k.succ) := rfl attribute [eqns objX_zero objX_add_one] objX attribute [simp] objX @[simp] def objD : ∀ n : ℕ, (objX X (n + 1) : C) ⟶ (objX X n : C) | 0 => Subobject.arrow _ ≫ X.δ (0 : Fin 2) ≫ inv (⊤ : Subobject _).arrow | n + 1 => by -- The differential is `Subobject.arrow _ ≫ X.δ (0 : Fin (n+3))`, -- factored through the intersection of the kernels. refine factorThru _ (arrow _ ≫ X.δ (0 : Fin (n + 3))) ?_ -- We now need to show that it factors! -- A morphism factors through an intersection of subobjects if it factors through each. refine (finset_inf_factors _).mpr fun i _ => ?_ -- A morphism `f` factors through the kernel of `g` exactly if `f ≫ g = 0`. apply kernelSubobject_factors dsimp [objX] -- Use a simplicial identity erw [Category.assoc, ← X.δ_comp_δ (Fin.zero_le i.succ)] -- We can rewrite the arrow out of the intersection of all the kernels as a composition -- of a morphism we don't care about with the arrow out of the kernel of `X.δ i.succ.succ`. rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ i.succ (by simp)), Category.assoc, kernelSubobject_arrow_comp_assoc, zero_comp, comp_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.normalized_Moore_complex.obj_d AlgebraicTopology.NormalizedMooreComplex.objD
Mathlib/AlgebraicTopology/MooreComplex.lean
100
111
theorem d_squared (n : ℕ) : objD X (n + 1) ≫ objD X n = 0 := by
-- It's a pity we need to do a case split here; -- after the first erw the proofs are almost identical rcases n with _ | n <;> dsimp [objD] · erw [Subobject.factorThru_arrow_assoc, Category.assoc, ← X.δ_comp_δ_assoc (Fin.zero_le (0 : Fin 2)), ← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ (0 : Fin 2) (by simp)), Category.assoc, kernelSubobject_arrow_comp_assoc, zero_comp, comp_zero] · erw [factorThru_right, factorThru_eq_zero, factorThru_arrow_assoc, Category.assoc, ← X.δ_comp_δ (Fin.zero_le (0 : Fin (n + 3))), ← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ (0 : Fin (n + 3)) (by simp)), Category.assoc, kernelSubobject_arrow_comp_assoc, zero_comp, comp_zero]
import Mathlib.FieldTheory.Normal import Mathlib.FieldTheory.Perfect import Mathlib.RingTheory.Localization.Integral #align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a" universe u v w open scoped Classical Polynomial open Polynomial variable (k : Type u) [Field k] class IsAlgClosed : Prop where splits : ∀ p : k[X], p.Splits <| RingHom.id k #align is_alg_closed IsAlgClosed theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k} (p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff] #align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K} (p : k[X]) : p.Splits f := Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _ #align is_alg_closed.splits_domain IsAlgClosed.splits_domain namespace IsAlgClosed variable {k} theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x := exists_root_of_splits _ (IsAlgClosed.splits p) hp #align is_alg_closed.exists_root IsAlgClosed.exists_root theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by have : degree (X ^ n - C x) ≠ 0 := by rw [degree_X_pow_sub_C hn x] exact ne_of_gt (WithBot.coe_lt_coe.2 hn) obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this use z simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz exact sub_eq_zero.1 hz #align is_alg_closed.exists_pow_nat_eq IsAlgClosed.exists_pow_nat_eq theorem exists_eq_mul_self [IsAlgClosed k] (x : k) : ∃ z, x = z * z := by rcases exists_pow_nat_eq x zero_lt_two with ⟨z, rfl⟩ exact ⟨z, sq z⟩ #align is_alg_closed.exists_eq_mul_self IsAlgClosed.exists_eq_mul_self theorem roots_eq_zero_iff [IsAlgClosed k] {p : k[X]} : p.roots = 0 ↔ p = Polynomial.C (p.coeff 0) := by refine ⟨fun h => ?_, fun hp => by rw [hp, roots_C]⟩ rcases le_or_lt (degree p) 0 with hd | hd · exact eq_C_of_degree_le_zero hd · obtain ⟨z, hz⟩ := IsAlgClosed.exists_root p hd.ne' rw [← mem_roots (ne_zero_of_degree_gt hd), h] at hz simp at hz #align is_alg_closed.roots_eq_zero_iff IsAlgClosed.roots_eq_zero_iff theorem exists_eval₂_eq_zero_of_injective {R : Type*} [Ring R] [IsAlgClosed k] (f : R →+* k) (hf : Function.Injective f) (p : R[X]) (hp : p.degree ≠ 0) : ∃ x, p.eval₂ f x = 0 := let ⟨x, hx⟩ := exists_root (p.map f) (by rwa [degree_map_eq_of_injective hf]) ⟨x, by rwa [eval₂_eq_eval_map, ← IsRoot]⟩ #align is_alg_closed.exists_eval₂_eq_zero_of_injective IsAlgClosed.exists_eval₂_eq_zero_of_injective theorem exists_eval₂_eq_zero {R : Type*} [Field R] [IsAlgClosed k] (f : R →+* k) (p : R[X]) (hp : p.degree ≠ 0) : ∃ x, p.eval₂ f x = 0 := exists_eval₂_eq_zero_of_injective f f.injective p hp #align is_alg_closed.exists_eval₂_eq_zero IsAlgClosed.exists_eval₂_eq_zero variable (k) theorem exists_aeval_eq_zero_of_injective {R : Type*} [CommRing R] [IsAlgClosed k] [Algebra R k] (hinj : Function.Injective (algebraMap R k)) (p : R[X]) (hp : p.degree ≠ 0) : ∃ x : k, aeval x p = 0 := exists_eval₂_eq_zero_of_injective (algebraMap R k) hinj p hp #align is_alg_closed.exists_aeval_eq_zero_of_injective IsAlgClosed.exists_aeval_eq_zero_of_injective theorem exists_aeval_eq_zero {R : Type*} [Field R] [IsAlgClosed k] [Algebra R k] (p : R[X]) (hp : p.degree ≠ 0) : ∃ x : k, aeval x p = 0 := exists_eval₂_eq_zero (algebraMap R k) p hp #align is_alg_closed.exists_aeval_eq_zero IsAlgClosed.exists_aeval_eq_zero theorem of_exists_root (H : ∀ p : k[X], p.Monic → Irreducible p → ∃ x, p.eval x = 0) : IsAlgClosed k := by refine ⟨fun p ↦ Or.inr ?_⟩ intro q hq _ have : Irreducible (q * C (leadingCoeff q)⁻¹) := by rw [← coe_normUnit_of_ne_zero hq.ne_zero] exact (associated_normalize _).irreducible hq obtain ⟨x, hx⟩ := H (q * C (leadingCoeff q)⁻¹) (monic_mul_leadingCoeff_inv hq.ne_zero) this exact degree_mul_leadingCoeff_inv q hq.ne_zero ▸ degree_eq_one_of_irreducible_of_root this hx #align is_alg_closed.of_exists_root IsAlgClosed.of_exists_root theorem of_ringEquiv (k' : Type u) [Field k'] (e : k ≃+* k') [IsAlgClosed k] : IsAlgClosed k' := by apply IsAlgClosed.of_exists_root intro p hmp hp have hpe : degree (p.map e.symm.toRingHom) ≠ 0 := by rw [degree_map] exact ne_of_gt (degree_pos_of_irreducible hp) rcases IsAlgClosed.exists_root (k := k) (p.map e.symm) hpe with ⟨x, hx⟩ use e x rw [IsRoot] at hx apply e.symm.injective rw [map_zero, ← hx] clear hx hpe hp hmp induction p using Polynomial.induction_on <;> simp_all theorem degree_eq_one_of_irreducible [IsAlgClosed k] {p : k[X]} (hp : Irreducible p) : p.degree = 1 := degree_eq_one_of_irreducible_of_splits hp (IsAlgClosed.splits_codomain _) #align is_alg_closed.degree_eq_one_of_irreducible IsAlgClosed.degree_eq_one_of_irreducible
Mathlib/FieldTheory/IsAlgClosed/Basic.lean
169
179
theorem algebraMap_surjective_of_isIntegral {k K : Type*} [Field k] [Ring K] [IsDomain K] [hk : IsAlgClosed k] [Algebra k K] [Algebra.IsIntegral k K] : Function.Surjective (algebraMap k K) := by
refine fun x => ⟨-(minpoly k x).coeff 0, ?_⟩ have hq : (minpoly k x).leadingCoeff = 1 := minpoly.monic (Algebra.IsIntegral.isIntegral x) have h : (minpoly k x).degree = 1 := degree_eq_one_of_irreducible k (minpoly.irreducible (Algebra.IsIntegral.isIntegral x)) have : aeval x (minpoly k x) = 0 := minpoly.aeval k x rw [eq_X_add_C_of_degree_eq_one h, hq, C_1, one_mul, aeval_add, aeval_X, aeval_C, add_eq_zero_iff_eq_neg] at this exact (RingHom.map_neg (algebraMap k K) ((minpoly k x).coeff 0)).symm ▸ this.symm
import Mathlib.Order.CompleteLattice import Mathlib.Data.Finset.Lattice import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Category.Preorder import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.Shapes.FiniteLimits #align_import category_theory.limits.lattice from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" universe w u open CategoryTheory open CategoryTheory.Limits namespace CategoryTheory.Limits.CompleteLattice section Semilattice variable {α : Type u} variable {J : Type w} [SmallCategory J] [FinCategory J] def finiteLimitCone [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : LimitCone F where cone := { pt := Finset.univ.inf F.obj π := { app := fun j => homOfLE (Finset.inf_le (Fintype.complete _)) } } isLimit := { lift := fun s => homOfLE (Finset.le_inf fun j _ => (s.π.app j).down.down) } #align category_theory.limits.complete_lattice.finite_limit_cone CategoryTheory.Limits.CompleteLattice.finiteLimitCone def finiteColimitCocone [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : ColimitCocone F where cocone := { pt := Finset.univ.sup F.obj ι := { app := fun i => homOfLE (Finset.le_sup (Fintype.complete _)) } } isColimit := { desc := fun s => homOfLE (Finset.sup_le fun j _ => (s.ι.app j).down.down) } #align category_theory.limits.complete_lattice.finite_colimit_cocone CategoryTheory.Limits.CompleteLattice.finiteColimitCocone -- see Note [lower instance priority] instance (priority := 100) hasFiniteLimits_of_semilatticeInf_orderTop [SemilatticeInf α] [OrderTop α] : HasFiniteLimits α := ⟨by intro J 𝒥₁ 𝒥₂ exact { has_limit := fun F => HasLimit.mk (finiteLimitCone F) }⟩ #align category_theory.limits.complete_lattice.has_finite_limits_of_semilattice_inf_order_top CategoryTheory.Limits.CompleteLattice.hasFiniteLimits_of_semilatticeInf_orderTop -- see Note [lower instance priority] instance (priority := 100) hasFiniteColimits_of_semilatticeSup_orderBot [SemilatticeSup α] [OrderBot α] : HasFiniteColimits α := ⟨by intro J 𝒥₁ 𝒥₂ exact { has_colimit := fun F => HasColimit.mk (finiteColimitCocone F) }⟩ #align category_theory.limits.complete_lattice.has_finite_colimits_of_semilattice_sup_order_bot CategoryTheory.Limits.CompleteLattice.hasFiniteColimits_of_semilatticeSup_orderBot theorem finite_limit_eq_finset_univ_inf [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : limit F = Finset.univ.inf F.obj := (IsLimit.conePointUniqueUpToIso (limit.isLimit F) (finiteLimitCone F).isLimit).to_eq #align category_theory.limits.complete_lattice.finite_limit_eq_finset_univ_inf CategoryTheory.Limits.CompleteLattice.finite_limit_eq_finset_univ_inf theorem finite_colimit_eq_finset_univ_sup [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : colimit F = Finset.univ.sup F.obj := (IsColimit.coconePointUniqueUpToIso (colimit.isColimit F) (finiteColimitCocone F).isColimit).to_eq #align category_theory.limits.complete_lattice.finite_colimit_eq_finset_univ_sup CategoryTheory.Limits.CompleteLattice.finite_colimit_eq_finset_univ_sup theorem finite_product_eq_finset_inf [SemilatticeInf α] [OrderTop α] {ι : Type u} [Fintype ι] (f : ι → α) : ∏ᶜ f = Fintype.elems.inf f := by trans · exact (IsLimit.conePointUniqueUpToIso (limit.isLimit _) (finiteLimitCone (Discrete.functor f)).isLimit).to_eq change Finset.univ.inf (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.inf f simp only [← Finset.inf_map, Finset.univ_map_equiv_to_embedding] rfl #align category_theory.limits.complete_lattice.finite_product_eq_finset_inf CategoryTheory.Limits.CompleteLattice.finite_product_eq_finset_inf theorem finite_coproduct_eq_finset_sup [SemilatticeSup α] [OrderBot α] {ι : Type u} [Fintype ι] (f : ι → α) : ∐ f = Fintype.elems.sup f := by trans · exact (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (finiteColimitCocone (Discrete.functor f)).isColimit).to_eq change Finset.univ.sup (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.sup f simp only [← Finset.sup_map, Finset.univ_map_equiv_to_embedding] rfl #align category_theory.limits.complete_lattice.finite_coproduct_eq_finset_sup CategoryTheory.Limits.CompleteLattice.finite_coproduct_eq_finset_sup set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 -- see Note [lower instance priority] instance (priority := 100) [SemilatticeInf α] [OrderTop α] : HasBinaryProducts α := by have : ∀ x y : α, HasLimit (pair x y) := by letI := hasFiniteLimits_of_hasFiniteLimits_of_size.{u} α infer_instance apply hasBinaryProducts_of_hasLimit_pair @[simp] theorem prod_eq_inf [SemilatticeInf α] [OrderTop α] (x y : α) : Limits.prod x y = x ⊓ y := calc Limits.prod x y = limit (pair x y) := rfl _ = Finset.univ.inf (pair x y).obj := by rw [finite_limit_eq_finset_univ_inf (pair.{u} x y)] _ = x ⊓ (y ⊓ ⊤) := rfl -- Note: finset.inf is realized as a fold, hence the definitional equality _ = x ⊓ y := by rw [inf_top_eq] #align category_theory.limits.complete_lattice.prod_eq_inf CategoryTheory.Limits.CompleteLattice.prod_eq_inf set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 -- see Note [lower instance priority] instance (priority := 100) [SemilatticeSup α] [OrderBot α] : HasBinaryCoproducts α := by have : ∀ x y : α, HasColimit (pair x y) := by letI := hasFiniteColimits_of_hasFiniteColimits_of_size.{u} α infer_instance apply hasBinaryCoproducts_of_hasColimit_pair @[simp]
Mathlib/CategoryTheory/Limits/Lattice.lean
143
149
theorem coprod_eq_sup [SemilatticeSup α] [OrderBot α] (x y : α) : Limits.coprod x y = x ⊔ y := calc Limits.coprod x y = colimit (pair x y) := rfl _ = Finset.univ.sup (pair x y).obj := by
rw [finite_colimit_eq_finset_univ_sup (pair x y)] _ = x ⊔ (y ⊔ ⊥) := rfl -- Note: Finset.sup is realized as a fold, hence the definitional equality _ = x ⊔ y := by rw [sup_bot_eq]
import Mathlib.Combinatorics.SimpleGraph.Subgraph import Mathlib.Data.List.Rotate #align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4" open Function universe u v w namespace SimpleGraph variable {V : Type u} {V' : Type v} {V'' : Type w} variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'') inductive Walk : V → V → Type u | nil {u : V} : Walk u u | cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w deriving DecidableEq #align simple_graph.walk SimpleGraph.Walk attribute [refl] Walk.nil @[simps] instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩ #align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited @[match_pattern, reducible] def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v := Walk.cons h Walk.nil #align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk namespace Walk variable {G} @[match_pattern] abbrev nil' (u : V) : G.Walk u u := Walk.nil #align simple_graph.walk.nil' SimpleGraph.Walk.nil' @[match_pattern] abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p #align simple_graph.walk.cons' SimpleGraph.Walk.cons' protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' := hu ▸ hv ▸ p #align simple_graph.walk.copy SimpleGraph.Walk.copy @[simp] theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl #align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl @[simp] theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v) (hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') : (p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by subst_vars rfl #align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy @[simp] theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by subst_vars rfl #align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') : (Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by subst_vars rfl #align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons @[simp] theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) : Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by subst_vars rfl #align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) : ∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p' | nil => (hne rfl).elim | cons h p' => ⟨_, h, p', rfl⟩ #align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne def length {u v : V} : G.Walk u v → ℕ | nil => 0 | cons _ q => q.length.succ #align simple_graph.walk.length SimpleGraph.Walk.length @[trans] def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w | nil, q => q | cons h p, q => cons h (p.append q) #align simple_graph.walk.append SimpleGraph.Walk.append def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil) #align simple_graph.walk.concat SimpleGraph.Walk.concat theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : p.concat h = p.append (cons h nil) := rfl #align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w | nil, q => q | cons h p, q => Walk.reverseAux p (cons (G.symm h) q) #align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux @[symm] def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil #align simple_graph.walk.reverse SimpleGraph.Walk.reverse def getVert {u v : V} : G.Walk u v → ℕ → V | nil, _ => u | cons _ _, 0 => u | cons _ q, n + 1 => q.getVert n #align simple_graph.walk.get_vert SimpleGraph.Walk.getVert @[simp] theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl #align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) : w.getVert i = v := by induction w generalizing i with | nil => rfl | cons _ _ ih => cases i · cases hi · exact ih (Nat.succ_le_succ_iff.1 hi) #align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le @[simp] theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v := w.getVert_of_length_le rfl.le #align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) : G.Adj (w.getVert i) (w.getVert (i + 1)) := by induction w generalizing i with | nil => cases hi | cons hxy _ ih => cases i · simp [getVert, hxy] · exact ih (Nat.succ_lt_succ_iff.1 hi) #align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ @[simp] theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) : (cons h p).append q = cons h (p.append q) := rfl #align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append @[simp] theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h nil).append p = cons h p := rfl #align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append @[simp] theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by induction p with | nil => rfl | cons _ _ ih => rw [cons_append, ih] #align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil @[simp] theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p := rfl #align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) : p.append (q.append r) = (p.append q).append r := by induction p with | nil => rfl | cons h p' ih => dsimp only [append] rw [ih] #align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc @[simp] theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w) (hu : u = u') (hv : v = v') (hw : w = w') : (p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by subst_vars rfl #align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl #align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil @[simp] theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) : (cons h p).concat h' = cons h (p.concat h') := rfl #align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) : p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _ #align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) : (p.concat h).append q = p.append (cons h q) := by rw [concat_eq_append, ← append_assoc, cons_nil_append] #align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : ∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by induction p generalizing u with | nil => exact ⟨_, nil, h, rfl⟩ | cons h' p ih => obtain ⟨y, q, h'', hc⟩ := ih h' refine ⟨y, cons h q, h'', ?_⟩ rw [concat_cons, hc] #align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat theorem exists_concat_eq_cons {u v w : V} : ∀ (p : G.Walk u v) (h : G.Adj v w), ∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q | nil, h => ⟨_, h, nil, rfl⟩ | cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩ #align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons @[simp] theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl #align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil := rfl #align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton @[simp] theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) : (cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl #align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux @[simp] protected theorem append_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) : (p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by induction p with | nil => rfl | cons h _ ih => exact ih q (cons (G.symm h) r) #align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux @[simp] protected theorem reverseAux_append {u v w x : V} (p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) : (p.reverseAux q).append r = p.reverseAux (q.append r) := by induction p with | nil => rfl | cons h _ ih => simp [ih (cons (G.symm h) q)] #align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) : p.reverseAux q = p.reverse.append q := by simp [reverse] #align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append @[simp] theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse] #align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons @[simp] theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).reverse = p.reverse.copy hv hu := by subst_vars rfl #align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy @[simp] theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : (p.append q).reverse = q.reverse.append p.reverse := by simp [reverse] #align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append @[simp] theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append] #align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat @[simp]
Mathlib/Combinatorics/SimpleGraph/Connectivity.lean
369
372
theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by
induction p with | nil => rfl | cons _ _ ih => simp [ih]
import Mathlib.Algebra.BigOperators.Finprod import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Topology.ContinuousFunction.Algebra import Mathlib.Topology.Compactness.Paracompact import Mathlib.Topology.ShrinkingLemma import Mathlib.Topology.UrysohnsLemma #align_import topology.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Function Set Filter open scoped Classical open Topology noncomputable section structure PartitionOfUnity (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where toFun : ι → C(X, ℝ) locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : 0 ≤ toFun sum_eq_one' : ∀ x ∈ s, ∑ᶠ i, toFun i x = 1 sum_le_one' : ∀ x, ∑ᶠ i, toFun i x ≤ 1 #align partition_of_unity PartitionOfUnity structure BumpCovering (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where toFun : ι → C(X, ℝ) locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : 0 ≤ toFun le_one' : toFun ≤ 1 eventuallyEq_one' : ∀ x ∈ s, ∃ i, toFun i =ᶠ[𝓝 x] 1 #align bump_covering BumpCovering variable {ι : Type u} {X : Type v} [TopologicalSpace X] namespace PartitionOfUnity variable {E : Type*} [AddCommMonoid E] [SMulWithZero ℝ E] [TopologicalSpace E] [ContinuousSMul ℝ E] {s : Set X} (f : PartitionOfUnity ι X s) instance : FunLike (PartitionOfUnity ι X s) ι C(X, ℝ) where coe := toFun coe_injective' := fun f g h ↦ by cases f; cases g; congr protected theorem locallyFinite : LocallyFinite fun i => support (f i) := f.locallyFinite' #align partition_of_unity.locally_finite PartitionOfUnity.locallyFinite theorem locallyFinite_tsupport : LocallyFinite fun i => tsupport (f i) := f.locallyFinite.closure #align partition_of_unity.locally_finite_tsupport PartitionOfUnity.locallyFinite_tsupport theorem nonneg (i : ι) (x : X) : 0 ≤ f i x := f.nonneg' i x #align partition_of_unity.nonneg PartitionOfUnity.nonneg theorem sum_eq_one {x : X} (hx : x ∈ s) : ∑ᶠ i, f i x = 1 := f.sum_eq_one' x hx #align partition_of_unity.sum_eq_one PartitionOfUnity.sum_eq_one theorem exists_pos {x : X} (hx : x ∈ s) : ∃ i, 0 < f i x := by have H := f.sum_eq_one hx contrapose! H simpa only [fun i => (H i).antisymm (f.nonneg i x), finsum_zero] using zero_ne_one #align partition_of_unity.exists_pos PartitionOfUnity.exists_pos theorem sum_le_one (x : X) : ∑ᶠ i, f i x ≤ 1 := f.sum_le_one' x #align partition_of_unity.sum_le_one PartitionOfUnity.sum_le_one theorem sum_nonneg (x : X) : 0 ≤ ∑ᶠ i, f i x := finsum_nonneg fun i => f.nonneg i x #align partition_of_unity.sum_nonneg PartitionOfUnity.sum_nonneg theorem le_one (i : ι) (x : X) : f i x ≤ 1 := (single_le_finsum i (f.locallyFinite.point_finite x) fun j => f.nonneg j x).trans (f.sum_le_one x) #align partition_of_unity.le_one PartitionOfUnity.le_one section finsupport variable {s : Set X} (ρ : PartitionOfUnity ι X s) (x₀ : X) def finsupport : Finset ι := (ρ.locallyFinite.point_finite x₀).toFinset @[simp] theorem mem_finsupport (x₀ : X) {i} : i ∈ ρ.finsupport x₀ ↔ i ∈ support fun i ↦ ρ i x₀ := by simp only [finsupport, mem_support, Finite.mem_toFinset, mem_setOf_eq] @[simp]
Mathlib/Topology/PartitionOfUnity.lean
193
196
theorem coe_finsupport (x₀ : X) : (ρ.finsupport x₀ : Set ι) = support fun i ↦ ρ i x₀ := by
ext rw [Finset.mem_coe, mem_finsupport]
import Mathlib.Algebra.Polynomial.RingDivision import Mathlib.RingTheory.Localization.FractionRing #align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8" noncomputable section namespace Polynomial universe u v w z variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ} section CommRing variable [CommRing R] [IsDomain R] {p q : R[X]} section Roots open Multiset Finset noncomputable def roots (p : R[X]) : Multiset R := haveI := Classical.decEq R haveI := Classical.dec (p = 0) if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) #align polynomial.roots Polynomial.roots theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] : p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by -- porting noteL `‹_›` doesn't work for instance arguments rename_i iR ip0 obtain rfl := Subsingleton.elim iR (Classical.decEq R) obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0)) rfl #align polynomial.roots_def Polynomial.roots_def @[simp] theorem roots_zero : (0 : R[X]).roots = 0 := dif_pos rfl #align polynomial.roots_zero Polynomial.roots_zero theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by classical unfold roots rw [dif_neg hp0] exact (Classical.choose_spec (exists_multiset_roots hp0)).1 #align polynomial.card_roots Polynomial.card_roots theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by by_cases hp0 : p = 0 · simp [hp0] exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0)) #align polynomial.card_roots' Polynomial.card_roots' theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) : (Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p := calc (Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) := card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le _ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0 set_option linter.uppercaseLean3 false in #align polynomial.card_roots_sub_C Polynomial.card_roots_sub_C theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) : Multiset.card (p - C a).roots ≤ natDegree p := WithBot.coe_le_coe.1 (le_trans (card_roots_sub_C hp0) (le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl])) set_option linter.uppercaseLean3 false in #align polynomial.card_roots_sub_C' Polynomial.card_roots_sub_C' @[simp] theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by classical by_cases hp : p = 0 · simp [hp] rw [roots_def, dif_neg hp] exact (Classical.choose_spec (exists_multiset_roots hp)).2 a #align polynomial.count_roots Polynomial.count_roots @[simp] theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by classical rw [← count_pos, count_roots p, rootMultiplicity_pos'] #align polynomial.mem_roots' Polynomial.mem_roots' theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a := mem_roots'.trans <| and_iff_right hp #align polynomial.mem_roots Polynomial.mem_roots theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 := (mem_roots'.1 h).1 #align polynomial.ne_zero_of_mem_roots Polynomial.ne_zero_of_mem_roots theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a := (mem_roots'.1 h).2 #align polynomial.is_root_of_mem_roots Polynomial.isRoot_of_mem_roots -- Porting note: added during port. lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by rw [mem_roots w, IsRoot.def, aeval_def, eval₂_eq_eval_map] simp theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) : Z.card ≤ p.natDegree := (Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p) #align polynomial.card_le_degree_of_subset_roots Polynomial.card_le_degree_of_subset_roots theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by classical simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp] using p.roots.toFinset.finite_toSet #align polynomial.finite_set_of_is_root Polynomial.finite_setOf_isRoot theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 := not_imp_comm.mp finite_setOf_isRoot h #align polynomial.eq_zero_of_infinite_is_root Polynomial.eq_zero_of_infinite_isRoot theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ := Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp #align polynomial.exists_max_root Polynomial.exists_max_root theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x := Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp #align polynomial.exists_min_root Polynomial.exists_min_root theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) : p = q := by rw [← sub_eq_zero] apply eq_zero_of_infinite_isRoot simpa only [IsRoot, eval_sub, sub_eq_zero] #align polynomial.eq_of_infinite_eval_eq Polynomial.eq_of_infinite_eval_eq theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by classical exact Multiset.ext.mpr fun r => by rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq] #align polynomial.roots_mul Polynomial.roots_mul theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by rintro ⟨k, rfl⟩ exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩ #align polynomial.roots.le_of_dvd Polynomial.roots.le_of_dvd theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C] set_option linter.uppercaseLean3 false in #align polynomial.mem_roots_sub_C' Polynomial.mem_roots_sub_C' theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) : x ∈ (p - C a).roots ↔ p.eval x = a := mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le set_option linter.uppercaseLean3 false in #align polynomial.mem_roots_sub_C Polynomial.mem_roots_sub_C @[simp] theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by classical ext s rw [count_roots, rootMultiplicity_X_sub_C, count_singleton] set_option linter.uppercaseLean3 false in #align polynomial.roots_X_sub_C Polynomial.roots_X_sub_C @[simp] theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero] set_option linter.uppercaseLean3 false in #align polynomial.roots_X Polynomial.roots_X @[simp] theorem roots_C (x : R) : (C x).roots = 0 := by classical exact if H : x = 0 then by rw [H, C_0, roots_zero] else Multiset.ext.mpr fun r => (by rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)]) set_option linter.uppercaseLean3 false in #align polynomial.roots_C Polynomial.roots_C @[simp] theorem roots_one : (1 : R[X]).roots = ∅ := roots_C 1 #align polynomial.roots_one Polynomial.roots_one @[simp] theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by by_cases hp : p = 0 <;> simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C, zero_add, mul_zero] set_option linter.uppercaseLean3 false in #align polynomial.roots_C_mul Polynomial.roots_C_mul @[simp] theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by rw [smul_eq_C_mul, roots_C_mul _ ha] #align polynomial.roots_smul_nonzero Polynomial.roots_smul_nonzero @[simp] lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)] theorem roots_list_prod (L : List R[X]) : (0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots := List.recOn L (fun _ => roots_one) fun hd tl ih H => by rw [List.mem_cons, not_or] at H rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ← Multiset.cons_coe, Multiset.cons_bind, ih H.2] #align polynomial.roots_list_prod Polynomial.roots_list_prod theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by rcases m with ⟨L⟩ simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L #align polynomial.roots_multiset_prod Polynomial.roots_multiset_prod theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) : s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by rcases s with ⟨m, hm⟩ simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f) #align polynomial.roots_prod Polynomial.roots_prod @[simp] theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by induction' n with n ihn · rw [pow_zero, roots_one, zero_smul, empty_eq_zero] · rcases eq_or_ne p 0 with (rfl | hp) · rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero] · rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul] #align polynomial.roots_pow Polynomial.roots_pow theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by rw [roots_pow, roots_X] set_option linter.uppercaseLean3 false in #align polynomial.roots_X_pow Polynomial.roots_X_pow theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) : Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by rw [roots_C_mul _ ha, roots_X_pow] set_option linter.uppercaseLean3 false in #align polynomial.roots_C_mul_X_pow Polynomial.roots_C_mul_X_pow @[simp] theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha] #align polynomial.roots_monomial Polynomial.roots_monomial theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by apply (roots_prod (fun a => X - C a) s ?_).trans · simp_rw [roots_X_sub_C] rw [Multiset.bind_singleton, Multiset.map_id'] · refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a) set_option linter.uppercaseLean3 false in #align polynomial.roots_prod_X_sub_C Polynomial.roots_prod_X_sub_C @[simp] theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by rw [roots_multiset_prod, Multiset.bind_map] · simp_rw [roots_X_sub_C] rw [Multiset.bind_singleton, Multiset.map_id'] · rw [Multiset.mem_map] rintro ⟨a, -, h⟩ exact X_sub_C_ne_zero a h set_option linter.uppercaseLean3 false in #align polynomial.roots_multiset_prod_X_sub_C Polynomial.roots_multiset_prod_X_sub_C theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) : Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n := WithBot.coe_le_coe.1 <| calc (Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) := card_roots (X_pow_sub_C_ne_zero hn a) _ = n := degree_X_pow_sub_C hn a set_option linter.uppercaseLean3 false in #align polynomial.card_roots_X_pow_sub_C Polynomial.card_roots_X_pow_sub_C section NthRoots def nthRoots (n : ℕ) (a : R) : Multiset R := roots ((X : R[X]) ^ n - C a) #align polynomial.nth_roots Polynomial.nthRoots @[simp] theorem mem_nthRoots {n : ℕ} (hn : 0 < n) {a x : R} : x ∈ nthRoots n a ↔ x ^ n = a := by rw [nthRoots, mem_roots (X_pow_sub_C_ne_zero hn a), IsRoot.def, eval_sub, eval_C, eval_pow, eval_X, sub_eq_zero] #align polynomial.mem_nth_roots Polynomial.mem_nthRoots @[simp] theorem nthRoots_zero (r : R) : nthRoots 0 r = 0 := by simp only [empty_eq_zero, pow_zero, nthRoots, ← C_1, ← C_sub, roots_C] #align polynomial.nth_roots_zero Polynomial.nthRoots_zero @[simp] theorem nthRoots_zero_right {R} [CommRing R] [IsDomain R] (n : ℕ) : nthRoots n (0 : R) = Multiset.replicate n 0 := by rw [nthRoots, C.map_zero, sub_zero, roots_pow, roots_X, Multiset.nsmul_singleton]
Mathlib/Algebra/Polynomial/Roots.lean
324
338
theorem card_nthRoots (n : ℕ) (a : R) : Multiset.card (nthRoots n a) ≤ n := by
classical exact (if hn : n = 0 then if h : (X : R[X]) ^ n - C a = 0 then by simp [Nat.zero_le, nthRoots, roots, h, dif_pos rfl, empty_eq_zero, Multiset.card_zero] else WithBot.coe_le_coe.1 (le_trans (card_roots h) (by rw [hn, pow_zero, ← C_1, ← RingHom.map_sub] exact degree_C_le)) else by rw [← Nat.cast_le (α := WithBot ℕ)] rw [← degree_X_pow_sub_C (Nat.pos_of_ne_zero hn) a] exact card_roots (X_pow_sub_C_ne_zero (Nat.pos_of_ne_zero hn) a))
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Star.Unitary import Mathlib.Data.Nat.ModEq import Mathlib.NumberTheory.Zsqrtd.Basic import Mathlib.Tactic.Monotonicity #align_import number_theory.pell_matiyasevic from "leanprover-community/mathlib"@"795b501869b9fa7aa716d5fdadd00c03f983a605" namespace Pell open Nat section variable {d : ℤ} def IsPell : ℤ√d → Prop | ⟨x, y⟩ => x * x - d * y * y = 1 #align pell.is_pell Pell.IsPell theorem isPell_norm : ∀ {b : ℤ√d}, IsPell b ↔ b * star b = 1 | ⟨x, y⟩ => by simp [Zsqrtd.ext_iff, IsPell, mul_comm]; ring_nf #align pell.is_pell_norm Pell.isPell_norm theorem isPell_iff_mem_unitary : ∀ {b : ℤ√d}, IsPell b ↔ b ∈ unitary (ℤ√d) | ⟨x, y⟩ => by rw [unitary.mem_iff, isPell_norm, mul_comm (star _), and_self_iff] #align pell.is_pell_iff_mem_unitary Pell.isPell_iff_mem_unitary theorem isPell_mul {b c : ℤ√d} (hb : IsPell b) (hc : IsPell c) : IsPell (b * c) := isPell_norm.2 (by simp [mul_comm, mul_left_comm c, mul_assoc, star_mul, isPell_norm.1 hb, isPell_norm.1 hc]) #align pell.is_pell_mul Pell.isPell_mul theorem isPell_star : ∀ {b : ℤ√d}, IsPell b ↔ IsPell (star b) | ⟨x, y⟩ => by simp [IsPell, Zsqrtd.star_mk] #align pell.is_pell_star Pell.isPell_star end section -- Porting note: was parameter in Lean3 variable {a : ℕ} (a1 : 1 < a) private def d (_a1 : 1 < a) := a * a - 1 @[simp] theorem d_pos : 0 < d a1 := tsub_pos_of_lt (mul_lt_mul a1 (le_of_lt a1) (by decide) (Nat.zero_le _) : 1 * 1 < a * a) #align pell.d_pos Pell.d_pos -- TODO(lint): Fix double namespace issue --@[nolint dup_namespace] def pell : ℕ → ℕ × ℕ -- Porting note: used pattern matching because `Nat.recOn` is noncomputable | 0 => (1, 0) | n+1 => ((pell n).1 * a + d a1 * (pell n).2, (pell n).1 + (pell n).2 * a) #align pell.pell Pell.pell def xn (n : ℕ) : ℕ := (pell a1 n).1 #align pell.xn Pell.xn def yn (n : ℕ) : ℕ := (pell a1 n).2 #align pell.yn Pell.yn @[simp] theorem pell_val (n : ℕ) : pell a1 n = (xn a1 n, yn a1 n) := show pell a1 n = ((pell a1 n).1, (pell a1 n).2) from match pell a1 n with | (_, _) => rfl #align pell.pell_val Pell.pell_val @[simp] theorem xn_zero : xn a1 0 = 1 := rfl #align pell.xn_zero Pell.xn_zero @[simp] theorem yn_zero : yn a1 0 = 0 := rfl #align pell.yn_zero Pell.yn_zero @[simp] theorem xn_succ (n : ℕ) : xn a1 (n + 1) = xn a1 n * a + d a1 * yn a1 n := rfl #align pell.xn_succ Pell.xn_succ @[simp] theorem yn_succ (n : ℕ) : yn a1 (n + 1) = xn a1 n + yn a1 n * a := rfl #align pell.yn_succ Pell.yn_succ --@[simp] Porting note (#10618): `simp` can prove it theorem xn_one : xn a1 1 = a := by simp #align pell.xn_one Pell.xn_one --@[simp] Porting note (#10618): `simp` can prove it theorem yn_one : yn a1 1 = 1 := by simp #align pell.yn_one Pell.yn_one def xz (n : ℕ) : ℤ := xn a1 n #align pell.xz Pell.xz def yz (n : ℕ) : ℤ := yn a1 n #align pell.yz Pell.yz section def az (a : ℕ) : ℤ := a #align pell.az Pell.az end theorem asq_pos : 0 < a * a := le_trans (le_of_lt a1) (by have := @Nat.mul_le_mul_left 1 a a (le_of_lt a1); rwa [mul_one] at this) #align pell.asq_pos Pell.asq_pos theorem dz_val : ↑(d a1) = az a * az a - 1 := have : 1 ≤ a * a := asq_pos a1 by rw [Pell.d, Int.ofNat_sub this]; rfl #align pell.dz_val Pell.dz_val @[simp] theorem xz_succ (n : ℕ) : (xz a1 (n + 1)) = xz a1 n * az a + d a1 * yz a1 n := rfl #align pell.xz_succ Pell.xz_succ @[simp] theorem yz_succ (n : ℕ) : yz a1 (n + 1) = xz a1 n + yz a1 n * az a := rfl #align pell.yz_succ Pell.yz_succ def pellZd (n : ℕ) : ℤ√(d a1) := ⟨xn a1 n, yn a1 n⟩ #align pell.pell_zd Pell.pellZd @[simp] theorem pellZd_re (n : ℕ) : (pellZd a1 n).re = xn a1 n := rfl #align pell.pell_zd_re Pell.pellZd_re @[simp] theorem pellZd_im (n : ℕ) : (pellZd a1 n).im = yn a1 n := rfl #align pell.pell_zd_im Pell.pellZd_im theorem isPell_nat {x y : ℕ} : IsPell (⟨x, y⟩ : ℤ√(d a1)) ↔ x * x - d a1 * y * y = 1 := ⟨fun h => Nat.cast_inj.1 (by rw [Int.ofNat_sub (Int.le_of_ofNat_le_ofNat <| Int.le.intro_sub _ h)]; exact h), fun h => show ((x * x : ℕ) - (d a1 * y * y : ℕ) : ℤ) = 1 by rw [← Int.ofNat_sub <| le_of_lt <| Nat.lt_of_sub_eq_succ h, h]; rfl⟩ #align pell.is_pell_nat Pell.isPell_nat @[simp]
Mathlib/NumberTheory/PellMatiyasevic.lean
222
222
theorem pellZd_succ (n : ℕ) : pellZd a1 (n + 1) = pellZd a1 n * ⟨a, 1⟩ := by
ext <;> simp
import Mathlib.Topology.Maps import Mathlib.Topology.NhdsSet #align_import topology.constructions from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f" noncomputable section open scoped Classical open Topology TopologicalSpace Set Filter Function universe u v variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*} section Constructions instance instTopologicalSpaceSubtype {p : X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Subtype p) := induced (↑) t instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) := coinduced (Quot.mk r) t instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] : TopologicalSpace (Quotient s) := coinduced Quotient.mk' t instance instTopologicalSpaceProd [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] : TopologicalSpace (X × Y) := induced Prod.fst t₁ ⊓ induced Prod.snd t₂ instance instTopologicalSpaceSum [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] : TopologicalSpace (X ⊕ Y) := coinduced Sum.inl t₁ ⊔ coinduced Sum.inr t₂ instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] : TopologicalSpace (Sigma X) := ⨆ i, coinduced (Sigma.mk i) (t₂ i) instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] : TopologicalSpace ((i : ι) → Y i) := ⨅ i, induced (fun f => f i) (t₂ i) #align Pi.topological_space Pi.topologicalSpace instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) := t.induced ULift.down #align ulift.topological_space ULift.topologicalSpace section variable [TopologicalSpace X] open Additive Multiplicative instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X› instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X› instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X› instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X› theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id #align continuous_of_mul continuous_ofMul theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id #align continuous_to_mul continuous_toMul theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id #align continuous_of_add continuous_ofAdd theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id #align continuous_to_add continuous_toAdd theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id #align is_open_map_of_mul isOpenMap_ofMul theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id #align is_open_map_to_mul isOpenMap_toMul theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id #align is_open_map_of_add isOpenMap_ofAdd theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id #align is_open_map_to_add isOpenMap_toAdd theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id #align is_closed_map_of_mul isClosedMap_ofMul theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id #align is_closed_map_to_mul isClosedMap_toMul theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id #align is_closed_map_of_add isClosedMap_ofAdd theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id #align is_closed_map_to_add isClosedMap_toAdd theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl #align nhds_of_mul nhds_ofMul theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl #align nhds_of_add nhds_ofAdd theorem nhds_toMul (x : Additive X) : 𝓝 (toMul x) = map toMul (𝓝 x) := rfl #align nhds_to_mul nhds_toMul theorem nhds_toAdd (x : Multiplicative X) : 𝓝 (toAdd x) = map toAdd (𝓝 x) := rfl #align nhds_to_add nhds_toAdd end section variable [TopologicalSpace X] open OrderDual instance : TopologicalSpace Xᵒᵈ := ‹TopologicalSpace X› instance [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹DiscreteTopology X› theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id #align continuous_to_dual continuous_toDual theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id #align continuous_of_dual continuous_ofDual theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id #align is_open_map_to_dual isOpenMap_toDual theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id #align is_open_map_of_dual isOpenMap_ofDual theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id #align is_closed_map_to_dual isClosedMap_toDual theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id #align is_closed_map_of_dual isClosedMap_ofDual theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl #align nhds_to_dual nhds_toDual theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl #align nhds_of_dual nhds_ofDual end theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s} {x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x := preimage_nhds_coinduced hs #align quotient.preimage_mem_nhds Quotient.preimage_mem_nhds theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) : Dense (Quotient.mk' '' s) := Quotient.surjective_Quotient_mk''.denseRange.dense_image continuous_coinduced_rng H #align dense.quotient Dense.quotient theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) : DenseRange (Quotient.mk' ∘ f) := Quotient.surjective_Quotient_mk''.denseRange.comp hf continuous_coinduced_rng #align dense_range.quotient DenseRange.quotient theorem continuous_map_of_le {α : Type*} [TopologicalSpace α] {s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) := continuous_coinduced_rng theorem continuous_map_sInf {α : Type*} [TopologicalSpace α] {S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) := continuous_coinduced_rng instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) := ⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩ instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X] [hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) := ⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩ #align sum.discrete_topology Sum.discreteTopology instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)] [h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) := ⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩ #align sigma.discrete_topology Sigma.discreteTopology def CofiniteTopology (X : Type*) := X #align cofinite_topology CofiniteTopology section Prod variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace W] [TopologicalSpace ε] [TopologicalSpace ζ] -- Porting note (#11215): TODO: Lean 4 fails to deduce implicit args @[simp] theorem continuous_prod_mk {f : X → Y} {g : X → Z} : (Continuous fun x => (f x, g x)) ↔ Continuous f ∧ Continuous g := (@continuous_inf_rng X (Y × Z) _ _ (TopologicalSpace.induced Prod.fst _) (TopologicalSpace.induced Prod.snd _)).trans <| continuous_induced_rng.and continuous_induced_rng #align continuous_prod_mk continuous_prod_mk @[continuity] theorem continuous_fst : Continuous (@Prod.fst X Y) := (continuous_prod_mk.1 continuous_id).1 #align continuous_fst continuous_fst @[fun_prop] theorem Continuous.fst {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).1 := continuous_fst.comp hf #align continuous.fst Continuous.fst theorem Continuous.fst' {f : X → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.fst := hf.comp continuous_fst #align continuous.fst' Continuous.fst' theorem continuousAt_fst {p : X × Y} : ContinuousAt Prod.fst p := continuous_fst.continuousAt #align continuous_at_fst continuousAt_fst @[fun_prop] theorem ContinuousAt.fst {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) : ContinuousAt (fun x : X => (f x).1) x := continuousAt_fst.comp hf #align continuous_at.fst ContinuousAt.fst theorem ContinuousAt.fst' {f : X → Z} {x : X} {y : Y} (hf : ContinuousAt f x) : ContinuousAt (fun x : X × Y => f x.fst) (x, y) := ContinuousAt.comp hf continuousAt_fst #align continuous_at.fst' ContinuousAt.fst' theorem ContinuousAt.fst'' {f : X → Z} {x : X × Y} (hf : ContinuousAt f x.fst) : ContinuousAt (fun x : X × Y => f x.fst) x := hf.comp continuousAt_fst #align continuous_at.fst'' ContinuousAt.fst'' theorem Filter.Tendsto.fst_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z} (h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).1) l (𝓝 <| p.1) := continuousAt_fst.tendsto.comp h @[continuity] theorem continuous_snd : Continuous (@Prod.snd X Y) := (continuous_prod_mk.1 continuous_id).2 #align continuous_snd continuous_snd @[fun_prop] theorem Continuous.snd {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).2 := continuous_snd.comp hf #align continuous.snd Continuous.snd theorem Continuous.snd' {f : Y → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.snd := hf.comp continuous_snd #align continuous.snd' Continuous.snd' theorem continuousAt_snd {p : X × Y} : ContinuousAt Prod.snd p := continuous_snd.continuousAt #align continuous_at_snd continuousAt_snd @[fun_prop] theorem ContinuousAt.snd {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) : ContinuousAt (fun x : X => (f x).2) x := continuousAt_snd.comp hf #align continuous_at.snd ContinuousAt.snd theorem ContinuousAt.snd' {f : Y → Z} {x : X} {y : Y} (hf : ContinuousAt f y) : ContinuousAt (fun x : X × Y => f x.snd) (x, y) := ContinuousAt.comp hf continuousAt_snd #align continuous_at.snd' ContinuousAt.snd' theorem ContinuousAt.snd'' {f : Y → Z} {x : X × Y} (hf : ContinuousAt f x.snd) : ContinuousAt (fun x : X × Y => f x.snd) x := hf.comp continuousAt_snd #align continuous_at.snd'' ContinuousAt.snd'' theorem Filter.Tendsto.snd_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z} (h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).2) l (𝓝 <| p.2) := continuousAt_snd.tendsto.comp h @[continuity, fun_prop] theorem Continuous.prod_mk {f : Z → X} {g : Z → Y} (hf : Continuous f) (hg : Continuous g) : Continuous fun x => (f x, g x) := continuous_prod_mk.2 ⟨hf, hg⟩ #align continuous.prod_mk Continuous.prod_mk @[continuity] theorem Continuous.Prod.mk (x : X) : Continuous fun y : Y => (x, y) := continuous_const.prod_mk continuous_id #align continuous.prod.mk Continuous.Prod.mk @[continuity] theorem Continuous.Prod.mk_left (y : Y) : Continuous fun x : X => (x, y) := continuous_id.prod_mk continuous_const #align continuous.prod.mk_left Continuous.Prod.mk_left lemma IsClosed.setOf_mapsTo {α : Type*} {f : X → α → Z} {s : Set α} {t : Set Z} (ht : IsClosed t) (hf : ∀ a ∈ s, Continuous (f · a)) : IsClosed {x | MapsTo (f x) s t} := by simpa only [MapsTo, setOf_forall] using isClosed_biInter fun y hy ↦ ht.preimage (hf y hy) theorem Continuous.comp₂ {g : X × Y → Z} (hg : Continuous g) {e : W → X} (he : Continuous e) {f : W → Y} (hf : Continuous f) : Continuous fun w => g (e w, f w) := hg.comp <| he.prod_mk hf #align continuous.comp₂ Continuous.comp₂ theorem Continuous.comp₃ {g : X × Y × Z → ε} (hg : Continuous g) {e : W → X} (he : Continuous e) {f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) : Continuous fun w => g (e w, f w, k w) := hg.comp₂ he <| hf.prod_mk hk #align continuous.comp₃ Continuous.comp₃ theorem Continuous.comp₄ {g : X × Y × Z × ζ → ε} (hg : Continuous g) {e : W → X} (he : Continuous e) {f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) {l : W → ζ} (hl : Continuous l) : Continuous fun w => g (e w, f w, k w, l w) := hg.comp₃ he hf <| hk.prod_mk hl #align continuous.comp₄ Continuous.comp₄ @[continuity] theorem Continuous.prod_map {f : Z → X} {g : W → Y} (hf : Continuous f) (hg : Continuous g) : Continuous fun p : Z × W => (f p.1, g p.2) := hf.fst'.prod_mk hg.snd' #align continuous.prod_map Continuous.prod_map theorem continuous_inf_dom_left₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X} {tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z} (h : by haveI := ta1; haveI := tb1; exact Continuous fun p : X × Y => f p.1 p.2) : by haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by have ha := @continuous_inf_dom_left _ _ id ta1 ta2 ta1 (@continuous_id _ (id _)) have hb := @continuous_inf_dom_left _ _ id tb1 tb2 tb1 (@continuous_id _ (id _)) have h_continuous_id := @Continuous.prod_map _ _ _ _ ta1 tb1 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id #align continuous_inf_dom_left₂ continuous_inf_dom_left₂ theorem continuous_inf_dom_right₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X} {tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z} (h : by haveI := ta2; haveI := tb2; exact Continuous fun p : X × Y => f p.1 p.2) : by haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by have ha := @continuous_inf_dom_right _ _ id ta1 ta2 ta2 (@continuous_id _ (id _)) have hb := @continuous_inf_dom_right _ _ id tb1 tb2 tb2 (@continuous_id _ (id _)) have h_continuous_id := @Continuous.prod_map _ _ _ _ ta2 tb2 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id #align continuous_inf_dom_right₂ continuous_inf_dom_right₂ theorem continuous_sInf_dom₂ {X Y Z} {f : X → Y → Z} {tas : Set (TopologicalSpace X)} {tbs : Set (TopologicalSpace Y)} {tX : TopologicalSpace X} {tY : TopologicalSpace Y} {tc : TopologicalSpace Z} (hX : tX ∈ tas) (hY : tY ∈ tbs) (hf : Continuous fun p : X × Y => f p.1 p.2) : by haveI := sInf tas; haveI := sInf tbs; exact @Continuous _ _ _ tc fun p : X × Y => f p.1 p.2 := by have hX := continuous_sInf_dom hX continuous_id have hY := continuous_sInf_dom hY continuous_id have h_continuous_id := @Continuous.prod_map _ _ _ _ tX tY (sInf tas) (sInf tbs) _ _ hX hY exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ hf h_continuous_id #align continuous_Inf_dom₂ continuous_sInf_dom₂ theorem Filter.Eventually.prod_inl_nhds {p : X → Prop} {x : X} (h : ∀ᶠ x in 𝓝 x, p x) (y : Y) : ∀ᶠ x in 𝓝 (x, y), p (x : X × Y).1 := continuousAt_fst h #align filter.eventually.prod_inl_nhds Filter.Eventually.prod_inl_nhds theorem Filter.Eventually.prod_inr_nhds {p : Y → Prop} {y : Y} (h : ∀ᶠ x in 𝓝 y, p x) (x : X) : ∀ᶠ x in 𝓝 (x, y), p (x : X × Y).2 := continuousAt_snd h #align filter.eventually.prod_inr_nhds Filter.Eventually.prod_inr_nhds theorem Filter.Eventually.prod_mk_nhds {px : X → Prop} {x} (hx : ∀ᶠ x in 𝓝 x, px x) {py : Y → Prop} {y} (hy : ∀ᶠ y in 𝓝 y, py y) : ∀ᶠ p in 𝓝 (x, y), px (p : X × Y).1 ∧ py p.2 := (hx.prod_inl_nhds y).and (hy.prod_inr_nhds x) #align filter.eventually.prod_mk_nhds Filter.Eventually.prod_mk_nhds theorem continuous_swap : Continuous (Prod.swap : X × Y → Y × X) := continuous_snd.prod_mk continuous_fst #align continuous_swap continuous_swap lemma isClosedMap_swap : IsClosedMap (Prod.swap : X × Y → Y × X) := fun s hs ↦ by rw [image_swap_eq_preimage_swap] exact hs.preimage continuous_swap theorem Continuous.uncurry_left {f : X → Y → Z} (x : X) (h : Continuous (uncurry f)) : Continuous (f x) := h.comp (Continuous.Prod.mk _) #align continuous_uncurry_left Continuous.uncurry_left theorem Continuous.uncurry_right {f : X → Y → Z} (y : Y) (h : Continuous (uncurry f)) : Continuous fun a => f a y := h.comp (Continuous.Prod.mk_left _) #align continuous_uncurry_right Continuous.uncurry_right -- 2024-03-09 @[deprecated] alias continuous_uncurry_left := Continuous.uncurry_left @[deprecated] alias continuous_uncurry_right := Continuous.uncurry_right theorem continuous_curry {g : X × Y → Z} (x : X) (h : Continuous g) : Continuous (curry g x) := Continuous.uncurry_left x h #align continuous_curry continuous_curry theorem IsOpen.prod {s : Set X} {t : Set Y} (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ×ˢ t) := (hs.preimage continuous_fst).inter (ht.preimage continuous_snd) #align is_open.prod IsOpen.prod -- Porting note (#11215): TODO: Lean fails to find `t₁` and `t₂` by unification theorem nhds_prod_eq {x : X} {y : Y} : 𝓝 (x, y) = 𝓝 x ×ˢ 𝓝 y := by dsimp only [SProd.sprod] rw [Filter.prod, instTopologicalSpaceProd, nhds_inf (t₁ := TopologicalSpace.induced Prod.fst _) (t₂ := TopologicalSpace.induced Prod.snd _), nhds_induced, nhds_induced] #align nhds_prod_eq nhds_prod_eq -- Porting note: moved from `Topology.ContinuousOn` theorem nhdsWithin_prod_eq (x : X) (y : Y) (s : Set X) (t : Set Y) : 𝓝[s ×ˢ t] (x, y) = 𝓝[s] x ×ˢ 𝓝[t] y := by simp only [nhdsWithin, nhds_prod_eq, ← prod_inf_prod, prod_principal_principal] #align nhds_within_prod_eq nhdsWithin_prod_eq #noalign continuous_uncurry_of_discrete_topology theorem mem_nhds_prod_iff {x : X} {y : Y} {s : Set (X × Y)} : s ∈ 𝓝 (x, y) ↔ ∃ u ∈ 𝓝 x, ∃ v ∈ 𝓝 y, u ×ˢ v ⊆ s := by rw [nhds_prod_eq, mem_prod_iff] #align mem_nhds_prod_iff mem_nhds_prod_iff theorem mem_nhdsWithin_prod_iff {x : X} {y : Y} {s : Set (X × Y)} {tx : Set X} {ty : Set Y} : s ∈ 𝓝[tx ×ˢ ty] (x, y) ↔ ∃ u ∈ 𝓝[tx] x, ∃ v ∈ 𝓝[ty] y, u ×ˢ v ⊆ s := by rw [nhdsWithin_prod_eq, mem_prod_iff] -- Porting note: moved up theorem Filter.HasBasis.prod_nhds {ιX ιY : Type*} {px : ιX → Prop} {py : ιY → Prop} {sx : ιX → Set X} {sy : ιY → Set Y} {x : X} {y : Y} (hx : (𝓝 x).HasBasis px sx) (hy : (𝓝 y).HasBasis py sy) : (𝓝 (x, y)).HasBasis (fun i : ιX × ιY => px i.1 ∧ py i.2) fun i => sx i.1 ×ˢ sy i.2 := by rw [nhds_prod_eq] exact hx.prod hy #align filter.has_basis.prod_nhds Filter.HasBasis.prod_nhds -- Porting note: moved up theorem Filter.HasBasis.prod_nhds' {ιX ιY : Type*} {pX : ιX → Prop} {pY : ιY → Prop} {sx : ιX → Set X} {sy : ιY → Set Y} {p : X × Y} (hx : (𝓝 p.1).HasBasis pX sx) (hy : (𝓝 p.2).HasBasis pY sy) : (𝓝 p).HasBasis (fun i : ιX × ιY => pX i.1 ∧ pY i.2) fun i => sx i.1 ×ˢ sy i.2 := hx.prod_nhds hy #align filter.has_basis.prod_nhds' Filter.HasBasis.prod_nhds' theorem mem_nhds_prod_iff' {x : X} {y : Y} {s : Set (X × Y)} : s ∈ 𝓝 (x, y) ↔ ∃ u v, IsOpen u ∧ x ∈ u ∧ IsOpen v ∧ y ∈ v ∧ u ×ˢ v ⊆ s := ((nhds_basis_opens x).prod_nhds (nhds_basis_opens y)).mem_iff.trans <| by simp only [Prod.exists, and_comm, and_assoc, and_left_comm] #align mem_nhds_prod_iff' mem_nhds_prod_iff' theorem Prod.tendsto_iff {X} (seq : X → Y × Z) {f : Filter X} (p : Y × Z) : Tendsto seq f (𝓝 p) ↔ Tendsto (fun n => (seq n).fst) f (𝓝 p.fst) ∧ Tendsto (fun n => (seq n).snd) f (𝓝 p.snd) := by rw [nhds_prod_eq, Filter.tendsto_prod_iff'] #align prod.tendsto_iff Prod.tendsto_iff instance [DiscreteTopology X] [DiscreteTopology Y] : DiscreteTopology (X × Y) := discreteTopology_iff_nhds.2 fun (a, b) => by rw [nhds_prod_eq, nhds_discrete X, nhds_discrete Y, prod_pure_pure] theorem prod_mem_nhds_iff {s : Set X} {t : Set Y} {x : X} {y : Y} : s ×ˢ t ∈ 𝓝 (x, y) ↔ s ∈ 𝓝 x ∧ t ∈ 𝓝 y := by rw [nhds_prod_eq, prod_mem_prod_iff] #align prod_mem_nhds_iff prod_mem_nhds_iff theorem prod_mem_nhds {s : Set X} {t : Set Y} {x : X} {y : Y} (hx : s ∈ 𝓝 x) (hy : t ∈ 𝓝 y) : s ×ˢ t ∈ 𝓝 (x, y) := prod_mem_nhds_iff.2 ⟨hx, hy⟩ #align prod_mem_nhds prod_mem_nhds theorem isOpen_setOf_disjoint_nhds_nhds : IsOpen { p : X × X | Disjoint (𝓝 p.1) (𝓝 p.2) } := by simp only [isOpen_iff_mem_nhds, Prod.forall, mem_setOf_eq] intro x y h obtain ⟨U, hU, V, hV, hd⟩ := ((nhds_basis_opens x).disjoint_iff (nhds_basis_opens y)).mp h exact mem_nhds_prod_iff'.mpr ⟨U, V, hU.2, hU.1, hV.2, hV.1, fun ⟨x', y'⟩ ⟨hx', hy'⟩ => disjoint_of_disjoint_of_mem hd (hU.2.mem_nhds hx') (hV.2.mem_nhds hy')⟩ #align is_open_set_of_disjoint_nhds_nhds isOpen_setOf_disjoint_nhds_nhds theorem Filter.Eventually.prod_nhds {p : X → Prop} {q : Y → Prop} {x : X} {y : Y} (hx : ∀ᶠ x in 𝓝 x, p x) (hy : ∀ᶠ y in 𝓝 y, q y) : ∀ᶠ z : X × Y in 𝓝 (x, y), p z.1 ∧ q z.2 := prod_mem_nhds hx hy #align filter.eventually.prod_nhds Filter.Eventually.prod_nhds theorem nhds_swap (x : X) (y : Y) : 𝓝 (x, y) = (𝓝 (y, x)).map Prod.swap := by rw [nhds_prod_eq, Filter.prod_comm, nhds_prod_eq]; rfl #align nhds_swap nhds_swap theorem Filter.Tendsto.prod_mk_nhds {γ} {x : X} {y : Y} {f : Filter γ} {mx : γ → X} {my : γ → Y} (hx : Tendsto mx f (𝓝 x)) (hy : Tendsto my f (𝓝 y)) : Tendsto (fun c => (mx c, my c)) f (𝓝 (x, y)) := by rw [nhds_prod_eq]; exact Filter.Tendsto.prod_mk hx hy #align filter.tendsto.prod_mk_nhds Filter.Tendsto.prod_mk_nhds theorem Filter.Eventually.curry_nhds {p : X × Y → Prop} {x : X} {y : Y} (h : ∀ᶠ x in 𝓝 (x, y), p x) : ∀ᶠ x' in 𝓝 x, ∀ᶠ y' in 𝓝 y, p (x', y') := by rw [nhds_prod_eq] at h exact h.curry #align filter.eventually.curry_nhds Filter.Eventually.curry_nhds @[fun_prop] theorem ContinuousAt.prod {f : X → Y} {g : X → Z} {x : X} (hf : ContinuousAt f x) (hg : ContinuousAt g x) : ContinuousAt (fun x => (f x, g x)) x := hf.prod_mk_nhds hg #align continuous_at.prod ContinuousAt.prod theorem ContinuousAt.prod_map {f : X → Z} {g : Y → W} {p : X × Y} (hf : ContinuousAt f p.fst) (hg : ContinuousAt g p.snd) : ContinuousAt (fun p : X × Y => (f p.1, g p.2)) p := hf.fst''.prod hg.snd'' #align continuous_at.prod_map ContinuousAt.prod_map theorem ContinuousAt.prod_map' {f : X → Z} {g : Y → W} {x : X} {y : Y} (hf : ContinuousAt f x) (hg : ContinuousAt g y) : ContinuousAt (fun p : X × Y => (f p.1, g p.2)) (x, y) := hf.fst'.prod hg.snd' #align continuous_at.prod_map' ContinuousAt.prod_map' theorem ContinuousAt.comp₂ {f : Y × Z → W} {g : X → Y} {h : X → Z} {x : X} (hf : ContinuousAt f (g x, h x)) (hg : ContinuousAt g x) (hh : ContinuousAt h x) : ContinuousAt (fun x ↦ f (g x, h x)) x := ContinuousAt.comp hf (hg.prod hh) theorem ContinuousAt.comp₂_of_eq {f : Y × Z → W} {g : X → Y} {h : X → Z} {x : X} {y : Y × Z} (hf : ContinuousAt f y) (hg : ContinuousAt g x) (hh : ContinuousAt h x) (e : (g x, h x) = y) : ContinuousAt (fun x ↦ f (g x, h x)) x := by rw [← e] at hf exact hf.comp₂ hg hh theorem Continuous.curry_left {f : X × Y → Z} (hf : Continuous f) {y : Y} : Continuous fun x ↦ f (x, y) := hf.comp (continuous_id.prod_mk continuous_const) alias Continuous.along_fst := Continuous.curry_left theorem Continuous.curry_right {f : X × Y → Z} (hf : Continuous f) {x : X} : Continuous fun y ↦ f (x, y) := hf.comp (continuous_const.prod_mk continuous_id) alias Continuous.along_snd := Continuous.curry_right -- todo: prove a version of `generateFrom_union` with `image2 (∩) s t` in the LHS and use it here theorem prod_generateFrom_generateFrom_eq {X Y : Type*} {s : Set (Set X)} {t : Set (Set Y)} (hs : ⋃₀ s = univ) (ht : ⋃₀ t = univ) : @instTopologicalSpaceProd X Y (generateFrom s) (generateFrom t) = generateFrom (image2 (· ×ˢ ·) s t) := let G := generateFrom (image2 (· ×ˢ ·) s t) le_antisymm (le_generateFrom fun g ⟨u, hu, v, hv, g_eq⟩ => g_eq.symm ▸ @IsOpen.prod _ _ (generateFrom s) (generateFrom t) _ _ (GenerateOpen.basic _ hu) (GenerateOpen.basic _ hv)) (le_inf (coinduced_le_iff_le_induced.mp <| le_generateFrom fun u hu => have : ⋃ v ∈ t, u ×ˢ v = Prod.fst ⁻¹' u := by simp_rw [← prod_iUnion, ← sUnion_eq_biUnion, ht, prod_univ] show G.IsOpen (Prod.fst ⁻¹' u) by rw [← this] exact isOpen_iUnion fun v => isOpen_iUnion fun hv => GenerateOpen.basic _ ⟨_, hu, _, hv, rfl⟩) (coinduced_le_iff_le_induced.mp <| le_generateFrom fun v hv => have : ⋃ u ∈ s, u ×ˢ v = Prod.snd ⁻¹' v := by simp_rw [← iUnion_prod_const, ← sUnion_eq_biUnion, hs, univ_prod] show G.IsOpen (Prod.snd ⁻¹' v) by rw [← this] exact isOpen_iUnion fun u => isOpen_iUnion fun hu => GenerateOpen.basic _ ⟨_, hu, _, hv, rfl⟩)) #align prod_generate_from_generate_from_eq prod_generateFrom_generateFrom_eq -- todo: use the previous lemma? theorem prod_eq_generateFrom : instTopologicalSpaceProd = generateFrom { g | ∃ (s : Set X) (t : Set Y), IsOpen s ∧ IsOpen t ∧ g = s ×ˢ t } := le_antisymm (le_generateFrom fun g ⟨s, t, hs, ht, g_eq⟩ => g_eq.symm ▸ hs.prod ht) (le_inf (forall_mem_image.2 fun t ht => GenerateOpen.basic _ ⟨t, univ, by simpa [Set.prod_eq] using ht⟩) (forall_mem_image.2 fun t ht => GenerateOpen.basic _ ⟨univ, t, by simpa [Set.prod_eq] using ht⟩)) #align prod_eq_generate_from prod_eq_generateFrom -- Porting note (#11215): TODO: align with `mem_nhds_prod_iff'` theorem isOpen_prod_iff {s : Set (X × Y)} : IsOpen s ↔ ∀ a b, (a, b) ∈ s → ∃ u v, IsOpen u ∧ IsOpen v ∧ a ∈ u ∧ b ∈ v ∧ u ×ˢ v ⊆ s := isOpen_iff_mem_nhds.trans <| by simp_rw [Prod.forall, mem_nhds_prod_iff', and_left_comm] #align is_open_prod_iff isOpen_prod_iff theorem prod_induced_induced (f : X → Y) (g : Z → W) : @instTopologicalSpaceProd X Z (induced f ‹_›) (induced g ‹_›) = induced (fun p => (f p.1, g p.2)) instTopologicalSpaceProd := by delta instTopologicalSpaceProd simp_rw [induced_inf, induced_compose] rfl #align prod_induced_induced prod_induced_induced #noalign continuous_uncurry_of_discrete_topology_left
Mathlib/Topology/Constructions.lean
745
747
theorem exists_nhds_square {s : Set (X × X)} {x : X} (hx : s ∈ 𝓝 (x, x)) : ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ U ×ˢ U ⊆ s := by
simpa [nhds_prod_eq, (nhds_basis_opens x).prod_self.mem_iff, and_assoc, and_left_comm] using hx
import Mathlib.Data.Fin.Tuple.Basic import Mathlib.Data.List.Join #align_import data.list.of_fn from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b" universe u variable {α : Type u} open Nat namespace List #noalign list.length_of_fn_aux @[simp] theorem length_ofFn_go {n} (f : Fin n → α) (i j h) : length (ofFn.go f i j h) = i := by induction i generalizing j <;> simp_all [ofFn.go] @[simp] theorem length_ofFn {n} (f : Fin n → α) : length (ofFn f) = n := by simp [ofFn, length_ofFn_go] #align list.length_of_fn List.length_ofFn #noalign list.nth_of_fn_aux theorem get_ofFn_go {n} (f : Fin n → α) (i j h) (k) (hk) : get (ofFn.go f i j h) ⟨k, hk⟩ = f ⟨j + k, by simp at hk; omega⟩ := by let i+1 := i cases k <;> simp [ofFn.go, get_ofFn_go (i := i)] congr 2; omega -- Porting note (#10756): new theorem @[simp] theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f (Fin.cast (by simp) i) := by cases i; simp [ofFn, get_ofFn_go] @[simp] theorem get?_ofFn {n} (f : Fin n → α) (i) : get? (ofFn f) i = ofFnNthVal f i := if h : i < (ofFn f).length then by rw [get?_eq_get h, get_ofFn] · simp only [length_ofFn] at h; simp [ofFnNthVal, h] else by rw [ofFnNthVal, dif_neg] <;> simpa using h #align list.nth_of_fn List.get?_ofFn set_option linter.deprecated false in @[deprecated get_ofFn (since := "2023-01-17")] theorem nthLe_ofFn {n} (f : Fin n → α) (i : Fin n) : nthLe (ofFn f) i ((length_ofFn f).symm ▸ i.2) = f i := by simp [nthLe] #align list.nth_le_of_fn List.nthLe_ofFn set_option linter.deprecated false in @[simp, deprecated get_ofFn (since := "2023-01-17")] theorem nthLe_ofFn' {n} (f : Fin n → α) {i : ℕ} (h : i < (ofFn f).length) : nthLe (ofFn f) i h = f ⟨i, length_ofFn f ▸ h⟩ := nthLe_ofFn f ⟨i, length_ofFn f ▸ h⟩ #align list.nth_le_of_fn' List.nthLe_ofFn' @[simp] theorem map_ofFn {β : Type*} {n : ℕ} (f : Fin n → α) (g : α → β) : map g (ofFn f) = ofFn (g ∘ f) := ext_get (by simp) fun i h h' => by simp #align list.map_of_fn List.map_ofFn -- Porting note: we don't have Array' in mathlib4 -- -- theorem array_eq_of_fn {n} (a : Array' n α) : a.toList = ofFn a.read := -- by -- suffices ∀ {m h l}, DArray.revIterateAux a (fun i => cons) m h l = -- ofFnAux (DArray.read a) m h l -- from this -- intros; induction' m with m IH generalizing l; · rfl -- simp only [DArray.revIterateAux, of_fn_aux, IH] -- #align list.array_eq_of_fn List.array_eq_of_fn @[congr] theorem ofFn_congr {m n : ℕ} (h : m = n) (f : Fin m → α) : ofFn f = ofFn fun i : Fin n => f (Fin.cast h.symm i) := by subst h simp_rw [Fin.cast_refl, id] #align list.of_fn_congr List.ofFn_congr @[simp] theorem ofFn_zero (f : Fin 0 → α) : ofFn f = [] := ext_get (by simp) (fun i hi₁ hi₂ => by contradiction) #align list.of_fn_zero List.ofFn_zero @[simp] theorem ofFn_succ {n} (f : Fin (succ n) → α) : ofFn f = f 0 :: ofFn fun i => f i.succ := ext_get (by simp) (fun i hi₁ hi₂ => by cases i · simp; rfl · simp) #align list.of_fn_succ List.ofFn_succ theorem ofFn_succ' {n} (f : Fin (succ n) → α) : ofFn f = (ofFn fun i => f (Fin.castSucc i)).concat (f (Fin.last _)) := by induction' n with n IH · rw [ofFn_zero, concat_nil, ofFn_succ, ofFn_zero] rfl · rw [ofFn_succ, IH, ofFn_succ, concat_cons, Fin.castSucc_zero] congr #align list.of_fn_succ' List.ofFn_succ' @[simp] theorem ofFn_eq_nil_iff {n : ℕ} {f : Fin n → α} : ofFn f = [] ↔ n = 0 := by cases n <;> simp only [ofFn_zero, ofFn_succ, eq_self_iff_true, Nat.succ_ne_zero] #align list.of_fn_eq_nil_iff List.ofFn_eq_nil_iff theorem last_ofFn {n : ℕ} (f : Fin n → α) (h : ofFn f ≠ []) (hn : n - 1 < n := Nat.pred_lt <| ofFn_eq_nil_iff.not.mp h) : getLast (ofFn f) h = f ⟨n - 1, hn⟩ := by simp [getLast_eq_get] #align list.last_of_fn List.last_ofFn theorem last_ofFn_succ {n : ℕ} (f : Fin n.succ → α) (h : ofFn f ≠ [] := mt ofFn_eq_nil_iff.mp (Nat.succ_ne_zero _)) : getLast (ofFn f) h = f (Fin.last _) := last_ofFn f h #align list.last_of_fn_succ List.last_ofFn_succ
Mathlib/Data/List/OfFn.lean
151
158
theorem ofFn_add {m n} (f : Fin (m + n) → α) : List.ofFn f = (List.ofFn fun i => f (Fin.castAdd n i)) ++ List.ofFn fun j => f (Fin.natAdd m j) := by
induction' n with n IH · rw [ofFn_zero, append_nil, Fin.castAdd_zero, Fin.cast_refl] rfl · rw [ofFn_succ', ofFn_succ', IH, append_concat] rfl
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Shapes.Reflexive import Mathlib.CategoryTheory.Monad.Coequalizer import Mathlib.CategoryTheory.Monad.Limits #align_import category_theory.monad.monadicity from "leanprover-community/mathlib"@"4bd8c855d6ba8f0d5eefbf80c20fa00ee034dec9" universe v₁ v₂ u₁ u₂ namespace CategoryTheory namespace Monad open Limits noncomputable section -- Hide the implementation details in this namespace. namespace MonadicityInternal variable {C : Type u₁} {D : Type u₂} variable [Category.{v₁} C] [Category.{v₁} D] variable {G : D ⥤ C} {F : C ⥤ D} (adj : F ⊣ G) instance main_pair_reflexive (A : adj.toMonad.Algebra) : IsReflexivePair (F.map A.a) (adj.counit.app (F.obj A.A)) := by apply IsReflexivePair.mk' (F.map (adj.unit.app _)) _ _ · rw [← F.map_comp, ← F.map_id] exact congr_arg F.map A.unit · rw [adj.left_triangle_components] rfl #align category_theory.monad.monadicity_internal.main_pair_reflexive CategoryTheory.Monad.MonadicityInternal.main_pair_reflexive instance main_pair_G_split (A : adj.toMonad.Algebra) : G.IsSplitPair (F.map A.a) (adj.counit.app (F.obj A.A)) where splittable := ⟨_, _, ⟨beckSplitCoequalizer A⟩⟩ set_option linter.uppercaseLean3 false in #align category_theory.monad.monadicity_internal.main_pair_G_split CategoryTheory.Monad.MonadicityInternal.main_pair_G_split def comparisonLeftAdjointObj (A : adj.toMonad.Algebra) [HasCoequalizer (F.map A.a) (adj.counit.app _)] : D := coequalizer (F.map A.a) (adj.counit.app _) #align category_theory.monad.monadicity_internal.comparison_left_adjoint_obj CategoryTheory.Monad.MonadicityInternal.comparisonLeftAdjointObj @[simps!] def comparisonLeftAdjointHomEquiv (A : adj.toMonad.Algebra) (B : D) [HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] : (comparisonLeftAdjointObj adj A ⟶ B) ≃ (A ⟶ (comparison adj).obj B) := calc (comparisonLeftAdjointObj adj A ⟶ B) ≃ { f : F.obj A.A ⟶ B // _ } := Cofork.IsColimit.homIso (colimit.isColimit _) B _ ≃ { g : A.A ⟶ G.obj B // G.map (F.map g) ≫ G.map (adj.counit.app B) = A.a ≫ g } := by refine (adj.homEquiv _ _).subtypeEquiv ?_ intro f rw [← (adj.homEquiv _ _).injective.eq_iff, Adjunction.homEquiv_naturality_left, adj.homEquiv_unit, adj.homEquiv_unit, G.map_comp] dsimp rw [adj.right_triangle_components_assoc, ← G.map_comp, F.map_comp, Category.assoc, adj.counit_naturality, adj.left_triangle_components_assoc] apply eq_comm _ ≃ (A ⟶ (comparison adj).obj B) := { toFun := fun g => { f := _ h := g.prop } invFun := fun f => ⟨f.f, f.h⟩ left_inv := fun g => by ext; rfl right_inv := fun f => by ext; rfl } #align category_theory.monad.monadicity_internal.comparison_left_adjoint_hom_equiv CategoryTheory.Monad.MonadicityInternal.comparisonLeftAdjointHomEquiv def leftAdjointComparison [∀ A : adj.toMonad.Algebra, HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] : adj.toMonad.Algebra ⥤ D := by refine Adjunction.leftAdjointOfEquiv (G := comparison adj) (F_obj := fun A => comparisonLeftAdjointObj adj A) (fun A B => ?_) ?_ · apply comparisonLeftAdjointHomEquiv · intro A B B' g h ext1 -- Porting note: the goal was previously closed by the following, which succeeds until -- `Category.assoc`. -- dsimp [comparisonLeftAdjointHomEquiv] -- rw [← adj.homEquiv_naturality_right, Category.assoc] simp [Cofork.IsColimit.homIso] #align category_theory.monad.monadicity_internal.left_adjoint_comparison CategoryTheory.Monad.MonadicityInternal.leftAdjointComparison @[simps! counit] def comparisonAdjunction [∀ A : adj.toMonad.Algebra, HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] : leftAdjointComparison adj ⊣ comparison adj := Adjunction.adjunctionOfEquivLeft _ _ #align category_theory.monad.monadicity_internal.comparison_adjunction CategoryTheory.Monad.MonadicityInternal.comparisonAdjunction variable {adj} theorem comparisonAdjunction_unit_f_aux [∀ A : adj.toMonad.Algebra, HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] (A : adj.toMonad.Algebra) : ((comparisonAdjunction adj).unit.app A).f = adj.homEquiv A.A _ (coequalizer.π (F.map A.a) (adj.counit.app (F.obj A.A))) := congr_arg (adj.homEquiv _ _) (Category.comp_id _) #align category_theory.monad.monadicity_internal.comparison_adjunction_unit_f_aux CategoryTheory.Monad.MonadicityInternal.comparisonAdjunction_unit_f_aux @[simps! pt] def unitCofork (A : adj.toMonad.Algebra) [HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] : Cofork (G.map (F.map A.a)) (G.map (adj.counit.app (F.obj A.A))) := Cofork.ofπ (G.map (coequalizer.π (F.map A.a) (adj.counit.app (F.obj A.A)))) (by change _ = G.map _ ≫ _ rw [← G.map_comp, coequalizer.condition, G.map_comp]) #align category_theory.monad.monadicity_internal.unit_cofork CategoryTheory.Monad.MonadicityInternal.unitCofork @[simp] theorem unitCofork_π (A : adj.toMonad.Algebra) [HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] : (unitCofork A).π = G.map (coequalizer.π (F.map A.a) (adj.counit.app (F.obj A.A))) := rfl #align category_theory.monad.monadicity_internal.unit_cofork_π CategoryTheory.Monad.MonadicityInternal.unitCofork_π theorem comparisonAdjunction_unit_f [∀ A : adj.toMonad.Algebra, HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] (A : adj.toMonad.Algebra) : ((comparisonAdjunction adj).unit.app A).f = (beckCoequalizer A).desc (unitCofork A) := by apply Limits.Cofork.IsColimit.hom_ext (beckCoequalizer A) rw [Cofork.IsColimit.π_desc] dsimp only [beckCofork_π, unitCofork_π] rw [comparisonAdjunction_unit_f_aux, ← adj.homEquiv_naturality_left A.a, coequalizer.condition, adj.homEquiv_naturality_right, adj.homEquiv_unit, Category.assoc] apply adj.right_triangle_components_assoc #align category_theory.monad.monadicity_internal.comparison_adjunction_unit_f CategoryTheory.Monad.MonadicityInternal.comparisonAdjunction_unit_f variable (adj) @[simps!] def counitCofork (B : D) : Cofork (F.map (G.map (adj.counit.app B))) (adj.counit.app (F.obj (G.obj B))) := Cofork.ofπ (adj.counit.app B) (adj.counit_naturality _) #align category_theory.monad.monadicity_internal.counit_cofork CategoryTheory.Monad.MonadicityInternal.counitCofork variable {adj} in def unitColimitOfPreservesCoequalizer (A : adj.toMonad.Algebra) [HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] [PreservesColimit (parallelPair (F.map A.a) (adj.counit.app (F.obj A.A))) G] : IsColimit (unitCofork (G := G) A) := isColimitOfHasCoequalizerOfPreservesColimit G _ _ #align category_theory.monad.monadicity_internal.unit_colimit_of_preserves_coequalizer CategoryTheory.Monad.MonadicityInternal.unitColimitOfPreservesCoequalizer def counitCoequalizerOfReflectsCoequalizer (B : D) [ReflectsColimit (parallelPair (F.map (G.map (adj.counit.app B))) (adj.counit.app (F.obj (G.obj B)))) G] : IsColimit (counitCofork (adj := adj) B) := isColimitOfIsColimitCoforkMap G _ (beckCoequalizer ((comparison adj).obj B)) #align category_theory.monad.monadicity_internal.counit_coequalizer_of_reflects_coequalizer CategoryTheory.Monad.MonadicityInternal.counitCoequalizerOfReflectsCoequalizer -- Porting note: Lean 3 didn't seem to need this instance [∀ A : adj.toMonad.Algebra, HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] (B : D) : HasColimit (parallelPair (F.map (G.map (NatTrans.app adj.counit B))) (NatTrans.app adj.counit (F.obj (G.obj B)))) := inferInstanceAs <| HasCoequalizer (F.map ((comparison adj).obj B).a) (adj.counit.app (F.obj ((comparison adj).obj B).A))
Mathlib/CategoryTheory/Monad/Monadicity.lean
230
237
theorem comparisonAdjunction_counit_app [∀ A : adj.toMonad.Algebra, HasCoequalizer (F.map A.a) (adj.counit.app (F.obj A.A))] (B : D) : (comparisonAdjunction adj).counit.app B = colimit.desc _ (counitCofork adj B) := by
apply coequalizer.hom_ext change coequalizer.π _ _ ≫ coequalizer.desc ((adj.homEquiv _ B).symm (𝟙 _)) _ = coequalizer.π _ _ ≫ coequalizer.desc _ _ simp
import Mathlib.MeasureTheory.Measure.Restrict open scoped ENNReal NNReal Topology open Set MeasureTheory Measure Filter Function MeasurableSpace ENNReal variable {α β δ ι : Type*} namespace MeasureTheory variable {m0 : MeasurableSpace α} [MeasurableSpace β] {μ ν ν₁ ν₂: Measure α} {s t : Set α} section IsFiniteMeasure class IsFiniteMeasure (μ : Measure α) : Prop where measure_univ_lt_top : μ univ < ∞ #align measure_theory.is_finite_measure MeasureTheory.IsFiniteMeasure #align measure_theory.is_finite_measure.measure_univ_lt_top MeasureTheory.IsFiniteMeasure.measure_univ_lt_top theorem not_isFiniteMeasure_iff : ¬IsFiniteMeasure μ ↔ μ Set.univ = ∞ := by refine ⟨fun h => ?_, fun h => fun h' => h'.measure_univ_lt_top.ne h⟩ by_contra h' exact h ⟨lt_top_iff_ne_top.mpr h'⟩ #align measure_theory.not_is_finite_measure_iff MeasureTheory.not_isFiniteMeasure_iff instance Restrict.isFiniteMeasure (μ : Measure α) [hs : Fact (μ s < ∞)] : IsFiniteMeasure (μ.restrict s) := ⟨by simpa using hs.elim⟩ #align measure_theory.restrict.is_finite_measure MeasureTheory.Restrict.isFiniteMeasure theorem measure_lt_top (μ : Measure α) [IsFiniteMeasure μ] (s : Set α) : μ s < ∞ := (measure_mono (subset_univ s)).trans_lt IsFiniteMeasure.measure_univ_lt_top #align measure_theory.measure_lt_top MeasureTheory.measure_lt_top instance isFiniteMeasureRestrict (μ : Measure α) (s : Set α) [h : IsFiniteMeasure μ] : IsFiniteMeasure (μ.restrict s) := ⟨by simpa using measure_lt_top μ s⟩ #align measure_theory.is_finite_measure_restrict MeasureTheory.isFiniteMeasureRestrict theorem measure_ne_top (μ : Measure α) [IsFiniteMeasure μ] (s : Set α) : μ s ≠ ∞ := ne_of_lt (measure_lt_top μ s) #align measure_theory.measure_ne_top MeasureTheory.measure_ne_top theorem measure_compl_le_add_of_le_add [IsFiniteMeasure μ] (hs : MeasurableSet s) (ht : MeasurableSet t) {ε : ℝ≥0∞} (h : μ s ≤ μ t + ε) : μ tᶜ ≤ μ sᶜ + ε := by rw [measure_compl ht (measure_ne_top μ _), measure_compl hs (measure_ne_top μ _), tsub_le_iff_right] calc μ univ = μ univ - μ s + μ s := (tsub_add_cancel_of_le <| measure_mono s.subset_univ).symm _ ≤ μ univ - μ s + (μ t + ε) := add_le_add_left h _ _ = _ := by rw [add_right_comm, add_assoc] #align measure_theory.measure_compl_le_add_of_le_add MeasureTheory.measure_compl_le_add_of_le_add theorem measure_compl_le_add_iff [IsFiniteMeasure μ] (hs : MeasurableSet s) (ht : MeasurableSet t) {ε : ℝ≥0∞} : μ sᶜ ≤ μ tᶜ + ε ↔ μ t ≤ μ s + ε := ⟨fun h => compl_compl s ▸ compl_compl t ▸ measure_compl_le_add_of_le_add hs.compl ht.compl h, measure_compl_le_add_of_le_add ht hs⟩ #align measure_theory.measure_compl_le_add_iff MeasureTheory.measure_compl_le_add_iff def measureUnivNNReal (μ : Measure α) : ℝ≥0 := (μ univ).toNNReal #align measure_theory.measure_univ_nnreal MeasureTheory.measureUnivNNReal @[simp] theorem coe_measureUnivNNReal (μ : Measure α) [IsFiniteMeasure μ] : ↑(measureUnivNNReal μ) = μ univ := ENNReal.coe_toNNReal (measure_ne_top μ univ) #align measure_theory.coe_measure_univ_nnreal MeasureTheory.coe_measureUnivNNReal instance isFiniteMeasureZero : IsFiniteMeasure (0 : Measure α) := ⟨by simp⟩ #align measure_theory.is_finite_measure_zero MeasureTheory.isFiniteMeasureZero instance (priority := 50) isFiniteMeasureOfIsEmpty [IsEmpty α] : IsFiniteMeasure μ := by rw [eq_zero_of_isEmpty μ] infer_instance #align measure_theory.is_finite_measure_of_is_empty MeasureTheory.isFiniteMeasureOfIsEmpty @[simp] theorem measureUnivNNReal_zero : measureUnivNNReal (0 : Measure α) = 0 := rfl #align measure_theory.measure_univ_nnreal_zero MeasureTheory.measureUnivNNReal_zero instance isFiniteMeasureAdd [IsFiniteMeasure μ] [IsFiniteMeasure ν] : IsFiniteMeasure (μ + ν) where measure_univ_lt_top := by rw [Measure.coe_add, Pi.add_apply, ENNReal.add_lt_top] exact ⟨measure_lt_top _ _, measure_lt_top _ _⟩ #align measure_theory.is_finite_measure_add MeasureTheory.isFiniteMeasureAdd instance isFiniteMeasureSMulNNReal [IsFiniteMeasure μ] {r : ℝ≥0} : IsFiniteMeasure (r • μ) where measure_univ_lt_top := ENNReal.mul_lt_top ENNReal.coe_ne_top (measure_ne_top _ _) #align measure_theory.is_finite_measure_smul_nnreal MeasureTheory.isFiniteMeasureSMulNNReal instance IsFiniteMeasure.average : IsFiniteMeasure ((μ univ)⁻¹ • μ) where measure_univ_lt_top := by rw [smul_apply, smul_eq_mul, ← ENNReal.div_eq_inv_mul] exact ENNReal.div_self_le_one.trans_lt ENNReal.one_lt_top instance isFiniteMeasureSMulOfNNRealTower {R} [SMul R ℝ≥0] [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0 ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] [IsFiniteMeasure μ] {r : R} : IsFiniteMeasure (r • μ) := by rw [← smul_one_smul ℝ≥0 r μ] infer_instance #align measure_theory.is_finite_measure_smul_of_nnreal_tower MeasureTheory.isFiniteMeasureSMulOfNNRealTower theorem isFiniteMeasure_of_le (μ : Measure α) [IsFiniteMeasure μ] (h : ν ≤ μ) : IsFiniteMeasure ν := { measure_univ_lt_top := (h Set.univ).trans_lt (measure_lt_top _ _) } #align measure_theory.is_finite_measure_of_le MeasureTheory.isFiniteMeasure_of_le @[instance] theorem Measure.isFiniteMeasure_map {m : MeasurableSpace α} (μ : Measure α) [IsFiniteMeasure μ] (f : α → β) : IsFiniteMeasure (μ.map f) := by by_cases hf : AEMeasurable f μ · constructor rw [map_apply_of_aemeasurable hf MeasurableSet.univ] exact measure_lt_top μ _ · rw [map_of_not_aemeasurable hf] exact MeasureTheory.isFiniteMeasureZero #align measure_theory.measure.is_finite_measure_map MeasureTheory.Measure.isFiniteMeasure_map @[simp]
Mathlib/MeasureTheory/Measure/Typeclasses.lean
143
145
theorem measureUnivNNReal_eq_zero [IsFiniteMeasure μ] : measureUnivNNReal μ = 0 ↔ μ = 0 := by
rw [← MeasureTheory.Measure.measure_univ_eq_zero, ← coe_measureUnivNNReal] norm_cast
import Mathlib.Algebra.Order.Ring.Defs import Mathlib.Algebra.Group.Int import Mathlib.Data.Nat.Dist import Mathlib.Data.Ordmap.Ordnode import Mathlib.Tactic.Abel import Mathlib.Tactic.Linarith #align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69" variable {α : Type*} namespace Ordnode theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 := not_le_of_gt H #align ordnode.not_le_delta Ordnode.not_le_delta theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False := not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta) #align ordnode.delta_lt_false Ordnode.delta_lt_false def realSize : Ordnode α → ℕ | nil => 0 | node _ l _ r => realSize l + realSize r + 1 #align ordnode.real_size Ordnode.realSize def Sized : Ordnode α → Prop | nil => True | node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r #align ordnode.sized Ordnode.Sized theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) := ⟨rfl, hl, hr⟩ #align ordnode.sized.node' Ordnode.Sized.node' theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by rw [h.1] #align ordnode.sized.eq_node' Ordnode.Sized.eq_node' theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) : size (@node α s l x r) = size l + size r + 1 := H.1 #align ordnode.sized.size_eq Ordnode.Sized.size_eq @[elab_as_elim] theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil) (H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by induction t with | nil => exact H0 | node _ _ _ _ t_ih_l t_ih_r => rw [hl.eq_node'] exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2) #align ordnode.sized.induction Ordnode.Sized.induction theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t | nil, _ => rfl | node s l x r, ⟨h₁, h₂, h₃⟩ => by rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl #align ordnode.size_eq_real_size Ordnode.size_eq_realSize @[simp] theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by cases t <;> [simp;simp [ht.1]] #align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by rw [h.1]; apply Nat.le_add_left #align ordnode.sized.pos Ordnode.Sized.pos theorem dual_dual : ∀ t : Ordnode α, dual (dual t) = t | nil => rfl | node s l x r => by rw [dual, dual, dual_dual l, dual_dual r] #align ordnode.dual_dual Ordnode.dual_dual @[simp] theorem size_dual (t : Ordnode α) : size (dual t) = size t := by cases t <;> rfl #align ordnode.size_dual Ordnode.size_dual def BalancedSz (l r : ℕ) : Prop := l + r ≤ 1 ∨ l ≤ delta * r ∧ r ≤ delta * l #align ordnode.balanced_sz Ordnode.BalancedSz instance BalancedSz.dec : DecidableRel BalancedSz := fun _ _ => Or.decidable #align ordnode.balanced_sz.dec Ordnode.BalancedSz.dec def Balanced : Ordnode α → Prop | nil => True | node _ l _ r => BalancedSz (size l) (size r) ∧ Balanced l ∧ Balanced r #align ordnode.balanced Ordnode.Balanced instance Balanced.dec : DecidablePred (@Balanced α) | nil => by unfold Balanced infer_instance | node _ l _ r => by unfold Balanced haveI := Balanced.dec l haveI := Balanced.dec r infer_instance #align ordnode.balanced.dec Ordnode.Balanced.dec @[symm] theorem BalancedSz.symm {l r : ℕ} : BalancedSz l r → BalancedSz r l := Or.imp (by rw [add_comm]; exact id) And.symm #align ordnode.balanced_sz.symm Ordnode.BalancedSz.symm theorem balancedSz_zero {l : ℕ} : BalancedSz l 0 ↔ l ≤ 1 := by simp (config := { contextual := true }) [BalancedSz] #align ordnode.balanced_sz_zero Ordnode.balancedSz_zero theorem balancedSz_up {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ r₂ ≤ delta * l) (H : BalancedSz l r₁) : BalancedSz l r₂ := by refine or_iff_not_imp_left.2 fun h => ?_ refine ⟨?_, h₂.resolve_left h⟩ cases H with | inl H => cases r₂ · cases h (le_trans (Nat.add_le_add_left (Nat.zero_le _) _) H) · exact le_trans (le_trans (Nat.le_add_right _ _) H) (Nat.le_add_left 1 _) | inr H => exact le_trans H.1 (Nat.mul_le_mul_left _ h₁) #align ordnode.balanced_sz_up Ordnode.balancedSz_up theorem balancedSz_down {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ l ≤ delta * r₁) (H : BalancedSz l r₂) : BalancedSz l r₁ := have : l + r₂ ≤ 1 → BalancedSz l r₁ := fun H => Or.inl (le_trans (Nat.add_le_add_left h₁ _) H) Or.casesOn H this fun H => Or.casesOn h₂ this fun h₂ => Or.inr ⟨h₂, le_trans h₁ H.2⟩ #align ordnode.balanced_sz_down Ordnode.balancedSz_down theorem Balanced.dual : ∀ {t : Ordnode α}, Balanced t → Balanced (dual t) | nil, _ => ⟨⟩ | node _ l _ r, ⟨b, bl, br⟩ => ⟨by rw [size_dual, size_dual]; exact b.symm, br.dual, bl.dual⟩ #align ordnode.balanced.dual Ordnode.Balanced.dual def node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α := node' (node' l x m) y r #align ordnode.node3_l Ordnode.node3L def node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α := node' l x (node' m y r) #align ordnode.node3_r Ordnode.node3R def node4L : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α | l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r) | l, x, nil, z, r => node3L l x nil z r #align ordnode.node4_l Ordnode.node4L -- should not happen def node4R : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α | l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r) | l, x, nil, z, r => node3R l x nil z r #align ordnode.node4_r Ordnode.node4R -- should not happen def rotateL : Ordnode α → α → Ordnode α → Ordnode α | l, x, node _ m y r => if size m < ratio * size r then node3L l x m y r else node4L l x m y r | l, x, nil => node' l x nil #align ordnode.rotate_l Ordnode.rotateL -- Porting note (#11467): during the port we marked these lemmas with `@[eqns]` -- to emulate the old Lean 3 behaviour. theorem rotateL_node (l : Ordnode α) (x : α) (sz : ℕ) (m : Ordnode α) (y : α) (r : Ordnode α) : rotateL l x (node sz m y r) = if size m < ratio * size r then node3L l x m y r else node4L l x m y r := rfl theorem rotateL_nil (l : Ordnode α) (x : α) : rotateL l x nil = node' l x nil := rfl -- should not happen def rotateR : Ordnode α → α → Ordnode α → Ordnode α | node _ l x m, y, r => if size m < ratio * size l then node3R l x m y r else node4R l x m y r | nil, y, r => node' nil y r #align ordnode.rotate_r Ordnode.rotateR -- Porting note (#11467): during the port we marked these lemmas with `@[eqns]` -- to emulate the old Lean 3 behaviour. theorem rotateR_node (sz : ℕ) (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : rotateR (node sz l x m) y r = if size m < ratio * size l then node3R l x m y r else node4R l x m y r := rfl theorem rotateR_nil (y : α) (r : Ordnode α) : rotateR nil y r = node' nil y r := rfl -- should not happen def balanceL' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α := if size l + size r ≤ 1 then node' l x r else if size l > delta * size r then rotateR l x r else node' l x r #align ordnode.balance_l' Ordnode.balanceL' def balanceR' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α := if size l + size r ≤ 1 then node' l x r else if size r > delta * size l then rotateL l x r else node' l x r #align ordnode.balance_r' Ordnode.balanceR' def balance' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α := if size l + size r ≤ 1 then node' l x r else if size r > delta * size l then rotateL l x r else if size l > delta * size r then rotateR l x r else node' l x r #align ordnode.balance' Ordnode.balance' theorem dual_node' (l : Ordnode α) (x : α) (r : Ordnode α) : dual (node' l x r) = node' (dual r) x (dual l) := by simp [node', add_comm] #align ordnode.dual_node' Ordnode.dual_node' theorem dual_node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : dual (node3L l x m y r) = node3R (dual r) y (dual m) x (dual l) := by simp [node3L, node3R, dual_node', add_comm] #align ordnode.dual_node3_l Ordnode.dual_node3L theorem dual_node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : dual (node3R l x m y r) = node3L (dual r) y (dual m) x (dual l) := by simp [node3L, node3R, dual_node', add_comm] #align ordnode.dual_node3_r Ordnode.dual_node3R theorem dual_node4L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : dual (node4L l x m y r) = node4R (dual r) y (dual m) x (dual l) := by cases m <;> simp [node4L, node4R, node3R, dual_node3L, dual_node', add_comm] #align ordnode.dual_node4_l Ordnode.dual_node4L theorem dual_node4R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : dual (node4R l x m y r) = node4L (dual r) y (dual m) x (dual l) := by cases m <;> simp [node4L, node4R, node3L, dual_node3R, dual_node', add_comm] #align ordnode.dual_node4_r Ordnode.dual_node4R theorem dual_rotateL (l : Ordnode α) (x : α) (r : Ordnode α) : dual (rotateL l x r) = rotateR (dual r) x (dual l) := by cases r <;> simp [rotateL, rotateR, dual_node']; split_ifs <;> simp [dual_node3L, dual_node4L, node3R, add_comm] #align ordnode.dual_rotate_l Ordnode.dual_rotateL theorem dual_rotateR (l : Ordnode α) (x : α) (r : Ordnode α) : dual (rotateR l x r) = rotateL (dual r) x (dual l) := by rw [← dual_dual (rotateL _ _ _), dual_rotateL, dual_dual, dual_dual] #align ordnode.dual_rotate_r Ordnode.dual_rotateR theorem dual_balance' (l : Ordnode α) (x : α) (r : Ordnode α) : dual (balance' l x r) = balance' (dual r) x (dual l) := by simp [balance', add_comm]; split_ifs with h h_1 h_2 <;> simp [dual_node', dual_rotateL, dual_rotateR, add_comm] cases delta_lt_false h_1 h_2 #align ordnode.dual_balance' Ordnode.dual_balance' theorem dual_balanceL (l : Ordnode α) (x : α) (r : Ordnode α) : dual (balanceL l x r) = balanceR (dual r) x (dual l) := by unfold balanceL balanceR cases' r with rs rl rx rr · cases' l with ls ll lx lr; · rfl cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> dsimp only [dual, id] <;> try rfl split_ifs with h <;> repeat simp [h, add_comm] · cases' l with ls ll lx lr; · rfl dsimp only [dual, id] split_ifs; swap; · simp [add_comm] cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> try rfl dsimp only [dual, id] split_ifs with h <;> simp [h, add_comm] #align ordnode.dual_balance_l Ordnode.dual_balanceL theorem dual_balanceR (l : Ordnode α) (x : α) (r : Ordnode α) : dual (balanceR l x r) = balanceL (dual r) x (dual l) := by rw [← dual_dual (balanceL _ _ _), dual_balanceL, dual_dual, dual_dual] #align ordnode.dual_balance_r Ordnode.dual_balanceR theorem Sized.node3L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) : Sized (node3L l x m y r) := (hl.node' hm).node' hr #align ordnode.sized.node3_l Ordnode.Sized.node3L theorem Sized.node3R {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) : Sized (node3R l x m y r) := hl.node' (hm.node' hr) #align ordnode.sized.node3_r Ordnode.Sized.node3R theorem Sized.node4L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) : Sized (node4L l x m y r) := by cases m <;> [exact (hl.node' hm).node' hr; exact (hl.node' hm.2.1).node' (hm.2.2.node' hr)] #align ordnode.sized.node4_l Ordnode.Sized.node4L theorem node3L_size {l x m y r} : size (@node3L α l x m y r) = size l + size m + size r + 2 := by dsimp [node3L, node', size]; rw [add_right_comm _ 1] #align ordnode.node3_l_size Ordnode.node3L_size theorem node3R_size {l x m y r} : size (@node3R α l x m y r) = size l + size m + size r + 2 := by dsimp [node3R, node', size]; rw [← add_assoc, ← add_assoc] #align ordnode.node3_r_size Ordnode.node3R_size theorem node4L_size {l x m y r} (hm : Sized m) : size (@node4L α l x m y r) = size l + size m + size r + 2 := by cases m <;> simp [node4L, node3L, node'] <;> [abel; (simp [size, hm.1]; abel)] #align ordnode.node4_l_size Ordnode.node4L_size theorem Sized.dual : ∀ {t : Ordnode α}, Sized t → Sized (dual t) | nil, _ => ⟨⟩ | node _ l _ r, ⟨rfl, sl, sr⟩ => ⟨by simp [size_dual, add_comm], Sized.dual sr, Sized.dual sl⟩ #align ordnode.sized.dual Ordnode.Sized.dual theorem Sized.dual_iff {t : Ordnode α} : Sized (.dual t) ↔ Sized t := ⟨fun h => by rw [← dual_dual t]; exact h.dual, Sized.dual⟩ #align ordnode.sized.dual_iff Ordnode.Sized.dual_iff theorem Sized.rotateL {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateL l x r) := by cases r; · exact hl.node' hr rw [Ordnode.rotateL_node]; split_ifs · exact hl.node3L hr.2.1 hr.2.2 · exact hl.node4L hr.2.1 hr.2.2 #align ordnode.sized.rotate_l Ordnode.Sized.rotateL theorem Sized.rotateR {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateR l x r) := Sized.dual_iff.1 <| by rw [dual_rotateR]; exact hr.dual.rotateL hl.dual #align ordnode.sized.rotate_r Ordnode.Sized.rotateR theorem Sized.rotateL_size {l x r} (hm : Sized r) : size (@Ordnode.rotateL α l x r) = size l + size r + 1 := by cases r <;> simp [Ordnode.rotateL] simp only [hm.1] split_ifs <;> simp [node3L_size, node4L_size hm.2.1] <;> abel #align ordnode.sized.rotate_l_size Ordnode.Sized.rotateL_size theorem Sized.rotateR_size {l x r} (hl : Sized l) : size (@Ordnode.rotateR α l x r) = size l + size r + 1 := by rw [← size_dual, dual_rotateR, hl.dual.rotateL_size, size_dual, size_dual, add_comm (size l)] #align ordnode.sized.rotate_r_size Ordnode.Sized.rotateR_size theorem Sized.balance' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (balance' l x r) := by unfold balance'; split_ifs · exact hl.node' hr · exact hl.rotateL hr · exact hl.rotateR hr · exact hl.node' hr #align ordnode.sized.balance' Ordnode.Sized.balance' theorem size_balance' {l x r} (hl : @Sized α l) (hr : Sized r) : size (@balance' α l x r) = size l + size r + 1 := by unfold balance'; split_ifs · rfl · exact hr.rotateL_size · exact hl.rotateR_size · rfl #align ordnode.size_balance' Ordnode.size_balance' theorem All.imp {P Q : α → Prop} (H : ∀ a, P a → Q a) : ∀ {t}, All P t → All Q t | nil, _ => ⟨⟩ | node _ _ _ _, ⟨h₁, h₂, h₃⟩ => ⟨h₁.imp H, H _ h₂, h₃.imp H⟩ #align ordnode.all.imp Ordnode.All.imp theorem Any.imp {P Q : α → Prop} (H : ∀ a, P a → Q a) : ∀ {t}, Any P t → Any Q t | nil => id | node _ _ _ _ => Or.imp (Any.imp H) <| Or.imp (H _) (Any.imp H) #align ordnode.any.imp Ordnode.Any.imp theorem all_singleton {P : α → Prop} {x : α} : All P (singleton x) ↔ P x := ⟨fun h => h.2.1, fun h => ⟨⟨⟩, h, ⟨⟩⟩⟩ #align ordnode.all_singleton Ordnode.all_singleton theorem any_singleton {P : α → Prop} {x : α} : Any P (singleton x) ↔ P x := ⟨by rintro (⟨⟨⟩⟩ | h | ⟨⟨⟩⟩); exact h, fun h => Or.inr (Or.inl h)⟩ #align ordnode.any_singleton Ordnode.any_singleton theorem all_dual {P : α → Prop} : ∀ {t : Ordnode α}, All P (dual t) ↔ All P t | nil => Iff.rfl | node _ _l _x _r => ⟨fun ⟨hr, hx, hl⟩ => ⟨all_dual.1 hl, hx, all_dual.1 hr⟩, fun ⟨hl, hx, hr⟩ => ⟨all_dual.2 hr, hx, all_dual.2 hl⟩⟩ #align ordnode.all_dual Ordnode.all_dual theorem all_iff_forall {P : α → Prop} : ∀ {t}, All P t ↔ ∀ x, Emem x t → P x | nil => (iff_true_intro <| by rintro _ ⟨⟩).symm | node _ l x r => by simp [All, Emem, all_iff_forall, Any, or_imp, forall_and] #align ordnode.all_iff_forall Ordnode.all_iff_forall theorem any_iff_exists {P : α → Prop} : ∀ {t}, Any P t ↔ ∃ x, Emem x t ∧ P x | nil => ⟨by rintro ⟨⟩, by rintro ⟨_, ⟨⟩, _⟩⟩ | node _ l x r => by simp only [Emem]; simp [Any, any_iff_exists, or_and_right, exists_or] #align ordnode.any_iff_exists Ordnode.any_iff_exists theorem emem_iff_all {x : α} {t} : Emem x t ↔ ∀ P, All P t → P x := ⟨fun h _ al => all_iff_forall.1 al _ h, fun H => H _ <| all_iff_forall.2 fun _ => id⟩ #align ordnode.emem_iff_all Ordnode.emem_iff_all theorem all_node' {P l x r} : @All α P (node' l x r) ↔ All P l ∧ P x ∧ All P r := Iff.rfl #align ordnode.all_node' Ordnode.all_node' theorem all_node3L {P l x m y r} : @All α P (node3L l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by simp [node3L, all_node', and_assoc] #align ordnode.all_node3_l Ordnode.all_node3L theorem all_node3R {P l x m y r} : @All α P (node3R l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := Iff.rfl #align ordnode.all_node3_r Ordnode.all_node3R theorem all_node4L {P l x m y r} : @All α P (node4L l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by cases m <;> simp [node4L, all_node', All, all_node3L, and_assoc] #align ordnode.all_node4_l Ordnode.all_node4L theorem all_node4R {P l x m y r} : @All α P (node4R l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by cases m <;> simp [node4R, all_node', All, all_node3R, and_assoc] #align ordnode.all_node4_r Ordnode.all_node4R theorem all_rotateL {P l x r} : @All α P (rotateL l x r) ↔ All P l ∧ P x ∧ All P r := by cases r <;> simp [rotateL, all_node']; split_ifs <;> simp [all_node3L, all_node4L, All, and_assoc] #align ordnode.all_rotate_l Ordnode.all_rotateL theorem all_rotateR {P l x r} : @All α P (rotateR l x r) ↔ All P l ∧ P x ∧ All P r := by rw [← all_dual, dual_rotateR, all_rotateL]; simp [all_dual, and_comm, and_left_comm, and_assoc] #align ordnode.all_rotate_r Ordnode.all_rotateR theorem all_balance' {P l x r} : @All α P (balance' l x r) ↔ All P l ∧ P x ∧ All P r := by rw [balance']; split_ifs <;> simp [all_node', all_rotateL, all_rotateR] #align ordnode.all_balance' Ordnode.all_balance' theorem foldr_cons_eq_toList : ∀ (t : Ordnode α) (r : List α), t.foldr List.cons r = toList t ++ r | nil, r => rfl | node _ l x r, r' => by rw [foldr, foldr_cons_eq_toList l, foldr_cons_eq_toList r, ← List.cons_append, ← List.append_assoc, ← foldr_cons_eq_toList l]; rfl #align ordnode.foldr_cons_eq_to_list Ordnode.foldr_cons_eq_toList @[simp] theorem toList_nil : toList (@nil α) = [] := rfl #align ordnode.to_list_nil Ordnode.toList_nil @[simp] theorem toList_node (s l x r) : toList (@node α s l x r) = toList l ++ x :: toList r := by rw [toList, foldr, foldr_cons_eq_toList]; rfl #align ordnode.to_list_node Ordnode.toList_node theorem emem_iff_mem_toList {x : α} {t} : Emem x t ↔ x ∈ toList t := by unfold Emem; induction t <;> simp [Any, *, or_assoc] #align ordnode.emem_iff_mem_to_list Ordnode.emem_iff_mem_toList theorem length_toList' : ∀ t : Ordnode α, (toList t).length = t.realSize | nil => rfl | node _ l _ r => by rw [toList_node, List.length_append, List.length_cons, length_toList' l, length_toList' r]; rfl #align ordnode.length_to_list' Ordnode.length_toList' theorem length_toList {t : Ordnode α} (h : Sized t) : (toList t).length = t.size := by rw [length_toList', size_eq_realSize h] #align ordnode.length_to_list Ordnode.length_toList theorem equiv_iff {t₁ t₂ : Ordnode α} (h₁ : Sized t₁) (h₂ : Sized t₂) : Equiv t₁ t₂ ↔ toList t₁ = toList t₂ := and_iff_right_of_imp fun h => by rw [← length_toList h₁, h, length_toList h₂] #align ordnode.equiv_iff Ordnode.equiv_iff theorem pos_size_of_mem [LE α] [@DecidableRel α (· ≤ ·)] {x : α} {t : Ordnode α} (h : Sized t) (h_mem : x ∈ t) : 0 < size t := by cases t; · { contradiction }; · { simp [h.1] } #align ordnode.pos_size_of_mem Ordnode.pos_size_of_mem theorem findMin'_dual : ∀ (t) (x : α), findMin' (dual t) x = findMax' x t | nil, _ => rfl | node _ _ x r, _ => findMin'_dual r x #align ordnode.find_min'_dual Ordnode.findMin'_dual theorem findMax'_dual (t) (x : α) : findMax' x (dual t) = findMin' t x := by rw [← findMin'_dual, dual_dual] #align ordnode.find_max'_dual Ordnode.findMax'_dual theorem findMin_dual : ∀ t : Ordnode α, findMin (dual t) = findMax t | nil => rfl | node _ _ _ _ => congr_arg some <| findMin'_dual _ _ #align ordnode.find_min_dual Ordnode.findMin_dual
Mathlib/Data/Ordmap/Ordset.lean
595
596
theorem findMax_dual (t : Ordnode α) : findMax (dual t) = findMin t := by
rw [← findMin_dual, dual_dual]
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Function import Mathlib.Tactic.FieldSimp #align_import analysis.convex.jensen from "leanprover-community/mathlib"@"bfad3f455b388fbcc14c49d0cac884f774f14d20" open Finset LinearMap Set open scoped Classical open Convex Pointwise variable {𝕜 E F β ι : Type*} section Jensen variable [LinearOrderedField 𝕜] [AddCommGroup E] [OrderedAddCommGroup β] [Module 𝕜 E] [Module 𝕜 β] [OrderedSMul 𝕜 β] {s : Set E} {f : E → β} {t : Finset ι} {w : ι → 𝕜} {p : ι → E} {v : 𝕜} {q : E} theorem ConvexOn.map_centerMass_le (hf : ConvexOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : 0 < ∑ i ∈ t, w i) (hmem : ∀ i ∈ t, p i ∈ s) : f (t.centerMass w p) ≤ t.centerMass w (f ∘ p) := by have hmem' : ∀ i ∈ t, (p i, (f ∘ p) i) ∈ { p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2 } := fun i hi => ⟨hmem i hi, le_rfl⟩ convert (hf.convex_epigraph.centerMass_mem h₀ h₁ hmem').2 <;> simp only [centerMass, Function.comp, Prod.smul_fst, Prod.fst_sum, Prod.smul_snd, Prod.snd_sum] #align convex_on.map_center_mass_le ConvexOn.map_centerMass_le theorem ConcaveOn.le_map_centerMass (hf : ConcaveOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : 0 < ∑ i ∈ t, w i) (hmem : ∀ i ∈ t, p i ∈ s) : t.centerMass w (f ∘ p) ≤ f (t.centerMass w p) := ConvexOn.map_centerMass_le (β := βᵒᵈ) hf h₀ h₁ hmem #align concave_on.le_map_center_mass ConcaveOn.le_map_centerMass
Mathlib/Analysis/Convex/Jensen.lean
69
72
theorem ConvexOn.map_sum_le (hf : ConvexOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : ∑ i ∈ t, w i = 1) (hmem : ∀ i ∈ t, p i ∈ s) : f (∑ i ∈ t, w i • p i) ≤ ∑ i ∈ t, w i • f (p i) := by
simpa only [centerMass, h₁, inv_one, one_smul] using hf.map_centerMass_le h₀ (h₁.symm ▸ zero_lt_one) hmem
import Mathlib.Topology.MetricSpace.HausdorffDistance #align_import topology.metric_space.hausdorff_distance from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" noncomputable section open NNReal ENNReal Topology Set Filter Bornology universe u v w variable {ι : Sort*} {α : Type u} {β : Type v} namespace Metric section Cthickening variable [PseudoEMetricSpace α] {δ ε : ℝ} {s t : Set α} {x : α} open EMetric def cthickening (δ : ℝ) (E : Set α) : Set α := { x : α | infEdist x E ≤ ENNReal.ofReal δ } #align metric.cthickening Metric.cthickening @[simp] theorem mem_cthickening_iff : x ∈ cthickening δ s ↔ infEdist x s ≤ ENNReal.ofReal δ := Iff.rfl #align metric.mem_cthickening_iff Metric.mem_cthickening_iff lemma eventually_not_mem_cthickening_of_infEdist_pos {E : Set α} {x : α} (h : x ∉ closure E) : ∀ᶠ δ in 𝓝 (0 : ℝ), x ∉ Metric.cthickening δ E := by obtain ⟨ε, ⟨ε_pos, ε_lt⟩⟩ := exists_real_pos_lt_infEdist_of_not_mem_closure h filter_upwards [eventually_lt_nhds ε_pos] with δ hδ simp only [cthickening, mem_setOf_eq, not_le] exact ((ofReal_lt_ofReal_iff ε_pos).mpr hδ).trans ε_lt theorem mem_cthickening_of_edist_le (x y : α) (δ : ℝ) (E : Set α) (h : y ∈ E) (h' : edist x y ≤ ENNReal.ofReal δ) : x ∈ cthickening δ E := (infEdist_le_edist_of_mem h).trans h' #align metric.mem_cthickening_of_edist_le Metric.mem_cthickening_of_edist_le
Mathlib/Topology/MetricSpace/Thickening.lean
219
223
theorem mem_cthickening_of_dist_le {α : Type*} [PseudoMetricSpace α] (x y : α) (δ : ℝ) (E : Set α) (h : y ∈ E) (h' : dist x y ≤ δ) : x ∈ cthickening δ E := by
apply mem_cthickening_of_edist_le x y δ E h rw [edist_dist] exact ENNReal.ofReal_le_ofReal h'
import Mathlib.Data.Set.Pointwise.SMul import Mathlib.Topology.MetricSpace.Isometry import Mathlib.Topology.MetricSpace.Lipschitz #align_import topology.metric_space.isometric_smul from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Set open ENNReal Pointwise universe u v w variable (M : Type u) (G : Type v) (X : Type w) class IsometricVAdd [PseudoEMetricSpace X] [VAdd M X] : Prop where protected isometry_vadd : ∀ c : M, Isometry ((c +ᵥ ·) : X → X) #align has_isometric_vadd IsometricVAdd @[to_additive] class IsometricSMul [PseudoEMetricSpace X] [SMul M X] : Prop where protected isometry_smul : ∀ c : M, Isometry ((c • ·) : X → X) #align has_isometric_smul IsometricSMul -- Porting note: Lean 4 doesn't support `[]` in classes, so make a lemma instead of `export`ing @[to_additive] theorem isometry_smul {M : Type u} (X : Type w) [PseudoEMetricSpace X] [SMul M X] [IsometricSMul M X] (c : M) : Isometry (c • · : X → X) := IsometricSMul.isometry_smul c @[to_additive] instance (priority := 100) IsometricSMul.to_continuousConstSMul [PseudoEMetricSpace X] [SMul M X] [IsometricSMul M X] : ContinuousConstSMul M X := ⟨fun c => (isometry_smul X c).continuous⟩ #align has_isometric_smul.to_has_continuous_const_smul IsometricSMul.to_continuousConstSMul #align has_isometric_vadd.to_has_continuous_const_vadd IsometricVAdd.to_continuousConstVAdd @[to_additive] instance (priority := 100) IsometricSMul.opposite_of_comm [PseudoEMetricSpace X] [SMul M X] [SMul Mᵐᵒᵖ X] [IsCentralScalar M X] [IsometricSMul M X] : IsometricSMul Mᵐᵒᵖ X := ⟨fun c x y => by simpa only [← op_smul_eq_smul] using isometry_smul X c.unop x y⟩ #align has_isometric_smul.opposite_of_comm IsometricSMul.opposite_of_comm #align has_isometric_vadd.opposite_of_comm IsometricVAdd.opposite_of_comm variable {M G X} section EMetric variable [PseudoEMetricSpace X] [Group G] [MulAction G X] [IsometricSMul G X] @[to_additive (attr := simp)] theorem edist_smul_left [SMul M X] [IsometricSMul M X] (c : M) (x y : X) : edist (c • x) (c • y) = edist x y := isometry_smul X c x y #align edist_smul_left edist_smul_left #align edist_vadd_left edist_vadd_left @[to_additive (attr := simp)] theorem ediam_smul [SMul M X] [IsometricSMul M X] (c : M) (s : Set X) : EMetric.diam (c • s) = EMetric.diam s := (isometry_smul _ _).ediam_image s #align ediam_smul ediam_smul #align ediam_vadd ediam_vadd @[to_additive] theorem isometry_mul_left [Mul M] [PseudoEMetricSpace M] [IsometricSMul M M] (a : M) : Isometry (a * ·) := isometry_smul M a #align isometry_mul_left isometry_mul_left #align isometry_add_left isometry_add_left @[to_additive (attr := simp)] theorem edist_mul_left [Mul M] [PseudoEMetricSpace M] [IsometricSMul M M] (a b c : M) : edist (a * b) (a * c) = edist b c := isometry_mul_left a b c #align edist_mul_left edist_mul_left #align edist_add_left edist_add_left @[to_additive] theorem isometry_mul_right [Mul M] [PseudoEMetricSpace M] [IsometricSMul Mᵐᵒᵖ M] (a : M) : Isometry fun x => x * a := isometry_smul M (MulOpposite.op a) #align isometry_mul_right isometry_mul_right #align isometry_add_right isometry_add_right @[to_additive (attr := simp)] theorem edist_mul_right [Mul M] [PseudoEMetricSpace M] [IsometricSMul Mᵐᵒᵖ M] (a b c : M) : edist (a * c) (b * c) = edist a b := isometry_mul_right c a b #align edist_mul_right edist_mul_right #align edist_add_right edist_add_right @[to_additive (attr := simp)] theorem edist_div_right [DivInvMonoid M] [PseudoEMetricSpace M] [IsometricSMul Mᵐᵒᵖ M] (a b c : M) : edist (a / c) (b / c) = edist a b := by simp only [div_eq_mul_inv, edist_mul_right] #align edist_div_right edist_div_right #align edist_sub_right edist_sub_right @[to_additive (attr := simp)]
Mathlib/Topology/MetricSpace/IsometricSMul.lean
128
131
theorem edist_inv_inv [PseudoEMetricSpace G] [IsometricSMul G G] [IsometricSMul Gᵐᵒᵖ G] (a b : G) : edist a⁻¹ b⁻¹ = edist a b := by
rw [← edist_mul_left a, ← edist_mul_right _ _ b, mul_right_inv, one_mul, inv_mul_cancel_right, edist_comm]
import Mathlib.Data.Multiset.Nodup #align_import data.multiset.dedup from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Multiset open List variable {α β : Type*} [DecidableEq α] def dedup (s : Multiset α) : Multiset α := Quot.liftOn s (fun l => (l.dedup : Multiset α)) fun _ _ p => Quot.sound p.dedup #align multiset.dedup Multiset.dedup @[simp] theorem coe_dedup (l : List α) : @dedup α _ l = l.dedup := rfl #align multiset.coe_dedup Multiset.coe_dedup @[simp] theorem dedup_zero : @dedup α _ 0 = 0 := rfl #align multiset.dedup_zero Multiset.dedup_zero @[simp] theorem mem_dedup {a : α} {s : Multiset α} : a ∈ dedup s ↔ a ∈ s := Quot.induction_on s fun _ => List.mem_dedup #align multiset.mem_dedup Multiset.mem_dedup @[simp] theorem dedup_cons_of_mem {a : α} {s : Multiset α} : a ∈ s → dedup (a ::ₘ s) = dedup s := Quot.induction_on s fun _ m => @congr_arg _ _ _ _ ofList <| List.dedup_cons_of_mem m #align multiset.dedup_cons_of_mem Multiset.dedup_cons_of_mem @[simp] theorem dedup_cons_of_not_mem {a : α} {s : Multiset α} : a ∉ s → dedup (a ::ₘ s) = a ::ₘ dedup s := Quot.induction_on s fun _ m => congr_arg ofList <| List.dedup_cons_of_not_mem m #align multiset.dedup_cons_of_not_mem Multiset.dedup_cons_of_not_mem theorem dedup_le (s : Multiset α) : dedup s ≤ s := Quot.induction_on s fun _ => (dedup_sublist _).subperm #align multiset.dedup_le Multiset.dedup_le theorem dedup_subset (s : Multiset α) : dedup s ⊆ s := subset_of_le <| dedup_le _ #align multiset.dedup_subset Multiset.dedup_subset theorem subset_dedup (s : Multiset α) : s ⊆ dedup s := fun _ => mem_dedup.2 #align multiset.subset_dedup Multiset.subset_dedup @[simp] theorem dedup_subset' {s t : Multiset α} : dedup s ⊆ t ↔ s ⊆ t := ⟨Subset.trans (subset_dedup _), Subset.trans (dedup_subset _)⟩ #align multiset.dedup_subset' Multiset.dedup_subset' @[simp] theorem subset_dedup' {s t : Multiset α} : s ⊆ dedup t ↔ s ⊆ t := ⟨fun h => Subset.trans h (dedup_subset _), fun h => Subset.trans h (subset_dedup _)⟩ #align multiset.subset_dedup' Multiset.subset_dedup' @[simp] theorem nodup_dedup (s : Multiset α) : Nodup (dedup s) := Quot.induction_on s List.nodup_dedup #align multiset.nodup_dedup Multiset.nodup_dedup theorem dedup_eq_self {s : Multiset α} : dedup s = s ↔ Nodup s := ⟨fun e => e ▸ nodup_dedup s, Quot.induction_on s fun _ h => congr_arg ofList h.dedup⟩ #align multiset.dedup_eq_self Multiset.dedup_eq_self alias ⟨_, Nodup.dedup⟩ := dedup_eq_self #align multiset.nodup.dedup Multiset.Nodup.dedup theorem count_dedup (m : Multiset α) (a : α) : m.dedup.count a = if a ∈ m then 1 else 0 := Quot.induction_on m fun _ => by simp only [quot_mk_to_coe'', coe_dedup, mem_coe, List.mem_dedup, coe_nodup, coe_count] apply List.count_dedup _ _ #align multiset.count_dedup Multiset.count_dedup @[simp] theorem dedup_idem {m : Multiset α} : m.dedup.dedup = m.dedup := Quot.induction_on m fun _ => @congr_arg _ _ _ _ ofList List.dedup_idem #align multiset.dedup_idempotent Multiset.dedup_idem theorem dedup_eq_zero {s : Multiset α} : dedup s = 0 ↔ s = 0 := ⟨fun h => eq_zero_of_subset_zero <| h ▸ subset_dedup _, fun h => h.symm ▸ dedup_zero⟩ #align multiset.dedup_eq_zero Multiset.dedup_eq_zero @[simp] theorem dedup_singleton {a : α} : dedup ({a} : Multiset α) = {a} := (nodup_singleton _).dedup #align multiset.dedup_singleton Multiset.dedup_singleton theorem le_dedup {s t : Multiset α} : s ≤ dedup t ↔ s ≤ t ∧ Nodup s := ⟨fun h => ⟨le_trans h (dedup_le _), nodup_of_le h (nodup_dedup _)⟩, fun ⟨l, d⟩ => (le_iff_subset d).2 <| Subset.trans (subset_of_le l) (subset_dedup _)⟩ #align multiset.le_dedup Multiset.le_dedup theorem le_dedup_self {s : Multiset α} : s ≤ dedup s ↔ Nodup s := by rw [le_dedup, and_iff_right le_rfl] #align multiset.le_dedup_self Multiset.le_dedup_self
Mathlib/Data/Multiset/Dedup.lean
116
117
theorem dedup_ext {s t : Multiset α} : dedup s = dedup t ↔ ∀ a, a ∈ s ↔ a ∈ t := by
simp [Nodup.ext]
import Mathlib.Algebra.ModEq import Mathlib.Algebra.Module.Defs import Mathlib.Algebra.Order.Archimedean import Mathlib.Algebra.Periodic import Mathlib.Data.Int.SuccPred import Mathlib.GroupTheory.QuotientGroup import Mathlib.Order.Circular import Mathlib.Data.List.TFAE import Mathlib.Data.Set.Lattice #align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" noncomputable section section LinearOrderedAddCommGroup variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p) {a b c : α} {n : ℤ} def toIcoDiv (a b : α) : ℤ := (existsUnique_sub_zsmul_mem_Ico hp b a).choose #align to_Ico_div toIcoDiv theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) := (existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1 #align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) : toIcoDiv hp a b = n := ((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm #align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico def toIocDiv (a b : α) : ℤ := (existsUnique_sub_zsmul_mem_Ioc hp b a).choose #align to_Ioc_div toIocDiv theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) := (existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1 #align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) : toIocDiv hp a b = n := ((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm #align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc def toIcoMod (a b : α) : α := b - toIcoDiv hp a b • p #align to_Ico_mod toIcoMod def toIocMod (a b : α) : α := b - toIocDiv hp a b • p #align to_Ioc_mod toIocMod theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) := sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_mod_mem_Ico toIcoMod_mem_Ico theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by convert toIcoMod_mem_Ico hp 0 b exact (zero_add p).symm #align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico' theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) := sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b := (Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1 #align left_le_to_Ico_mod left_le_toIcoMod theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b := (Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1 #align left_lt_to_Ioc_mod left_lt_toIocMod theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p := (Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2 #align to_Ico_mod_lt_right toIcoMod_lt_right theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p := (Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2 #align to_Ioc_mod_le_right toIocMod_le_right @[simp] theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b := rfl #align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul @[simp] theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b := rfl #align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul @[simp] theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by rw [toIcoMod, neg_sub] #align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self @[simp] theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by rw [toIocMod, neg_sub] #align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self @[simp] theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by rw [toIcoMod, sub_sub_cancel_left, neg_smul] #align to_Ico_mod_sub_self toIcoMod_sub_self @[simp] theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by rw [toIocMod, sub_sub_cancel_left, neg_smul] #align to_Ioc_mod_sub_self toIocMod_sub_self @[simp] theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by rw [toIcoMod, sub_sub_cancel] #align self_sub_to_Ico_mod self_sub_toIcoMod @[simp] theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by rw [toIocMod, sub_sub_cancel] #align self_sub_to_Ioc_mod self_sub_toIocMod @[simp] theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by rw [toIcoMod, sub_add_cancel] #align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul @[simp] theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by rw [toIocMod, sub_add_cancel] #align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul @[simp] theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by rw [add_comm, toIcoMod_add_toIcoDiv_zsmul] #align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod @[simp] theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by rw [add_comm, toIocMod_add_toIocDiv_zsmul] #align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by refine ⟨fun h => ⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩, ?_⟩ simp_rw [← @sub_eq_iff_eq_add] rintro ⟨hc, n, rfl⟩ rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod] #align to_Ico_mod_eq_iff toIcoMod_eq_iff theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by refine ⟨fun h => ⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩, ?_⟩ simp_rw [← @sub_eq_iff_eq_add] rintro ⟨hc, n, rfl⟩ rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod] #align to_Ioc_mod_eq_iff toIocMod_eq_iff @[simp] theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp] #align to_Ico_div_apply_left toIcoDiv_apply_left @[simp] theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp] #align to_Ioc_div_apply_left toIocDiv_apply_left @[simp] theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by rw [toIcoMod_eq_iff hp, Set.left_mem_Ico] exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩ #align to_Ico_mod_apply_left toIcoMod_apply_left @[simp] theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by rw [toIocMod_eq_iff hp, Set.right_mem_Ioc] exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩ #align to_Ioc_mod_apply_left toIocMod_apply_left theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp] #align to_Ico_div_apply_right toIcoDiv_apply_right theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp] #align to_Ioc_div_apply_right toIocDiv_apply_right theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by rw [toIcoMod_eq_iff hp, Set.left_mem_Ico] exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩ #align to_Ico_mod_apply_right toIcoMod_apply_right theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by rw [toIocMod_eq_iff hp, Set.right_mem_Ioc] exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩ #align to_Ioc_mod_apply_right toIocMod_apply_right @[simp] theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m := toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_div_add_zsmul toIcoDiv_add_zsmul @[simp] theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) : toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_ rw [sub_smul, ← sub_add, add_right_comm] simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b #align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul' @[simp] theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m := toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_div_add_zsmul toIocDiv_add_zsmul @[simp] theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) : toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_ rw [sub_smul, ← sub_add, add_right_comm] simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b #align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul' @[simp] theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by rw [add_comm, toIcoDiv_add_zsmul, add_comm] #align to_Ico_div_zsmul_add toIcoDiv_zsmul_add @[simp] theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by rw [add_comm, toIocDiv_add_zsmul, add_comm] #align to_Ioc_div_zsmul_add toIocDiv_zsmul_add @[simp] theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg] #align to_Ico_div_sub_zsmul toIcoDiv_sub_zsmul @[simp] theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) : toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add] #align to_Ico_div_sub_zsmul' toIcoDiv_sub_zsmul' @[simp] theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg] #align to_Ioc_div_sub_zsmul toIocDiv_sub_zsmul @[simp] theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) : toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add] #align to_Ioc_div_sub_zsmul' toIocDiv_sub_zsmul' @[simp] theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1 #align to_Ico_div_add_right toIcoDiv_add_right @[simp] theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1 #align to_Ico_div_add_right' toIcoDiv_add_right' @[simp] theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1 #align to_Ioc_div_add_right toIocDiv_add_right @[simp] theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1 #align to_Ioc_div_add_right' toIocDiv_add_right' @[simp] theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by rw [add_comm, toIcoDiv_add_right] #align to_Ico_div_add_left toIcoDiv_add_left @[simp] theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by rw [add_comm, toIcoDiv_add_right'] #align to_Ico_div_add_left' toIcoDiv_add_left' @[simp] theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by rw [add_comm, toIocDiv_add_right] #align to_Ioc_div_add_left toIocDiv_add_left @[simp] theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by rw [add_comm, toIocDiv_add_right'] #align to_Ioc_div_add_left' toIocDiv_add_left' @[simp] theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1 #align to_Ico_div_sub toIcoDiv_sub @[simp] theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1 #align to_Ico_div_sub' toIcoDiv_sub' @[simp] theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1 #align to_Ioc_div_sub toIocDiv_sub @[simp] theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1 #align to_Ioc_div_sub' toIocDiv_sub' theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) : toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by apply toIcoDiv_eq_of_sub_zsmul_mem_Ico rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm] exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b #align to_Ico_div_sub_eq_to_Ico_div_add toIcoDiv_sub_eq_toIcoDiv_add theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) : toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by apply toIocDiv_eq_of_sub_zsmul_mem_Ioc rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm] exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b #align to_Ioc_div_sub_eq_to_Ioc_div_add toIocDiv_sub_eq_toIocDiv_add theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) : toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg] #align to_Ico_div_sub_eq_to_Ico_div_add' toIcoDiv_sub_eq_toIcoDiv_add' theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) : toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg] #align to_Ioc_div_sub_eq_to_Ioc_div_add' toIocDiv_sub_eq_toIocDiv_add' theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this rw [← neg_eq_iff_eq_neg, eq_comm] apply toIocDiv_eq_of_sub_zsmul_mem_Ioc obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b) rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc refine ⟨ho, hc.trans_eq ?_⟩ rw [neg_add, neg_add_cancel_right] #align to_Ico_div_neg toIcoDiv_neg theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b) #align to_Ico_div_neg' toIcoDiv_neg' theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right] #align to_Ioc_div_neg toIocDiv_neg theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b) #align to_Ioc_div_neg' toIocDiv_neg' @[simp] theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul] abel #align to_Ico_mod_add_zsmul toIcoMod_add_zsmul @[simp] theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) : toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add] #align to_Ico_mod_add_zsmul' toIcoMod_add_zsmul' @[simp] theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul] abel #align to_Ioc_mod_add_zsmul toIocMod_add_zsmul @[simp] theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) : toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add] #align to_Ioc_mod_add_zsmul' toIocMod_add_zsmul' @[simp] theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by rw [add_comm, toIcoMod_add_zsmul] #align to_Ico_mod_zsmul_add toIcoMod_zsmul_add @[simp] theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) : toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by rw [add_comm, toIcoMod_add_zsmul', add_comm] #align to_Ico_mod_zsmul_add' toIcoMod_zsmul_add' @[simp] theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by rw [add_comm, toIocMod_add_zsmul] #align to_Ioc_mod_zsmul_add toIocMod_zsmul_add @[simp] theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) : toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by rw [add_comm, toIocMod_add_zsmul', add_comm] #align to_Ioc_mod_zsmul_add' toIocMod_zsmul_add' @[simp] theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul] #align to_Ico_mod_sub_zsmul toIcoMod_sub_zsmul @[simp] theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) : toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul'] #align to_Ico_mod_sub_zsmul' toIcoMod_sub_zsmul' @[simp] theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul] #align to_Ioc_mod_sub_zsmul toIocMod_sub_zsmul @[simp] theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) : toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul'] #align to_Ioc_mod_sub_zsmul' toIocMod_sub_zsmul' @[simp] theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1 #align to_Ico_mod_add_right toIcoMod_add_right @[simp] theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1 #align to_Ico_mod_add_right' toIcoMod_add_right' @[simp] theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1 #align to_Ioc_mod_add_right toIocMod_add_right @[simp] theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1 #align to_Ioc_mod_add_right' toIocMod_add_right' @[simp] theorem toIcoMod_add_left (a b : α) : toIcoMod hp a (p + b) = toIcoMod hp a b := by rw [add_comm, toIcoMod_add_right] #align to_Ico_mod_add_left toIcoMod_add_left @[simp] theorem toIcoMod_add_left' (a b : α) : toIcoMod hp (p + a) b = p + toIcoMod hp a b := by rw [add_comm, toIcoMod_add_right', add_comm] #align to_Ico_mod_add_left' toIcoMod_add_left' @[simp] theorem toIocMod_add_left (a b : α) : toIocMod hp a (p + b) = toIocMod hp a b := by rw [add_comm, toIocMod_add_right] #align to_Ioc_mod_add_left toIocMod_add_left @[simp] theorem toIocMod_add_left' (a b : α) : toIocMod hp (p + a) b = p + toIocMod hp a b := by rw [add_comm, toIocMod_add_right', add_comm] #align to_Ioc_mod_add_left' toIocMod_add_left' @[simp] theorem toIcoMod_sub (a b : α) : toIcoMod hp a (b - p) = toIcoMod hp a b := by simpa only [one_zsmul] using toIcoMod_sub_zsmul hp a b 1 #align to_Ico_mod_sub toIcoMod_sub @[simp] theorem toIcoMod_sub' (a b : α) : toIcoMod hp (a - p) b = toIcoMod hp a b - p := by simpa only [one_zsmul] using toIcoMod_sub_zsmul' hp a b 1 #align to_Ico_mod_sub' toIcoMod_sub' @[simp] theorem toIocMod_sub (a b : α) : toIocMod hp a (b - p) = toIocMod hp a b := by simpa only [one_zsmul] using toIocMod_sub_zsmul hp a b 1 #align to_Ioc_mod_sub toIocMod_sub @[simp] theorem toIocMod_sub' (a b : α) : toIocMod hp (a - p) b = toIocMod hp a b - p := by simpa only [one_zsmul] using toIocMod_sub_zsmul' hp a b 1 #align to_Ioc_mod_sub' toIocMod_sub'
Mathlib/Algebra/Order/ToIntervalMod.lean
534
535
theorem toIcoMod_sub_eq_sub (a b c : α) : toIcoMod hp a (b - c) = toIcoMod hp (a + c) b - c := by
simp_rw [toIcoMod, toIcoDiv_sub_eq_toIcoDiv_add, sub_right_comm]
import Mathlib.Topology.Order.MonotoneContinuity import Mathlib.Topology.Algebra.Order.LiminfLimsup import Mathlib.Topology.Instances.NNReal import Mathlib.Topology.EMetricSpace.Lipschitz import Mathlib.Topology.Metrizable.Basic import Mathlib.Topology.Order.T5 #align_import topology.instances.ennreal from "leanprover-community/mathlib"@"ec4b2eeb50364487f80421c0b4c41328a611f30d" noncomputable section open Set Filter Metric Function open scoped Classical Topology ENNReal NNReal Filter variable {α : Type*} {β : Type*} {γ : Type*} namespace ENNReal variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} {x y z : ℝ≥0∞} {ε ε₁ ε₂ : ℝ≥0∞} {s : Set ℝ≥0∞} section TopologicalSpace open TopologicalSpace instance : TopologicalSpace ℝ≥0∞ := Preorder.topology ℝ≥0∞ instance : OrderTopology ℝ≥0∞ := ⟨rfl⟩ -- short-circuit type class inference instance : T2Space ℝ≥0∞ := inferInstance instance : T5Space ℝ≥0∞ := inferInstance instance : T4Space ℝ≥0∞ := inferInstance instance : SecondCountableTopology ℝ≥0∞ := orderIsoUnitIntervalBirational.toHomeomorph.embedding.secondCountableTopology instance : MetrizableSpace ENNReal := orderIsoUnitIntervalBirational.toHomeomorph.embedding.metrizableSpace theorem embedding_coe : Embedding ((↑) : ℝ≥0 → ℝ≥0∞) := coe_strictMono.embedding_of_ordConnected <| by rw [range_coe']; exact ordConnected_Iio #align ennreal.embedding_coe ENNReal.embedding_coe theorem isOpen_ne_top : IsOpen { a : ℝ≥0∞ | a ≠ ∞ } := isOpen_ne #align ennreal.is_open_ne_top ENNReal.isOpen_ne_top
Mathlib/Topology/Instances/ENNReal.lean
60
62
theorem isOpen_Ico_zero : IsOpen (Ico 0 b) := by
rw [ENNReal.Ico_eq_Iio] exact isOpen_Iio