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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 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] #align measure_theory.has_finite_integral.norm MeasureTheory.HasFiniteIntegral.norm theorem hasFiniteIntegral_norm_iff (f : α → β) : HasFiniteIntegral (fun a => ‖f a‖) μ ↔ HasFiniteIntegral f μ := hasFiniteIntegral_congr' <| eventually_of_forall fun x => norm_norm (f x) #align measure_theory.has_finite_integral_norm_iff MeasureTheory.hasFiniteIntegral_norm_iff theorem hasFiniteIntegral_toReal_of_lintegral_ne_top {f : α → ℝ≥0∞} (hf : (∫⁻ x, f x ∂μ) ≠ ∞) : HasFiniteIntegral (fun x => (f x).toReal) μ := by have : ∀ x, (‖(f x).toReal‖₊ : ℝ≥0∞) = ENNReal.ofNNReal ⟨(f x).toReal, ENNReal.toReal_nonneg⟩ := by intro x rw [Real.nnnorm_of_nonneg] simp_rw [HasFiniteIntegral, this] refine lt_of_le_of_lt (lintegral_mono fun x => ?_) (lt_top_iff_ne_top.2 hf) by_cases hfx : f x = ∞ · simp [hfx] · lift f x to ℝ≥0 using hfx with fx h simp [← h, ← NNReal.coe_le_coe] #align measure_theory.has_finite_integral_to_real_of_lintegral_ne_top MeasureTheory.hasFiniteIntegral_toReal_of_lintegral_ne_top theorem isFiniteMeasure_withDensity_ofReal {f : α → ℝ} (hfi : HasFiniteIntegral f μ) : IsFiniteMeasure (μ.withDensity fun x => ENNReal.ofReal <| f x) := by refine isFiniteMeasure_withDensity ((lintegral_mono fun x => ?_).trans_lt hfi).ne exact Real.ofReal_le_ennnorm (f x) #align measure_theory.is_finite_measure_with_density_of_real MeasureTheory.isFiniteMeasure_withDensity_ofReal -- variable [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ] def Integrable {α} {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := AEStronglyMeasurable f μ ∧ HasFiniteIntegral f μ #align measure_theory.integrable MeasureTheory.Integrable
Mathlib/MeasureTheory/Function/L1Space.lean
441
442
theorem memℒp_one_iff_integrable {f : α → β} : Memℒp f 1 μ ↔ Integrable f μ := by
simp_rw [Integrable, HasFiniteIntegral, Memℒp, snorm_one_eq_lintegral_nnnorm]
import Mathlib.Topology.Bases import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Compactness.SigmaCompact open Set Filter Topology TopologicalSpace universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Lindelof def IsLindelof (s : Set X) := ∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (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 inf_le_right theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx ↦ ?_ rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left] exact hf x hx @[elab_as_elim] theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop} (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by intro f hnf _ hstf rw [← inf_principal, le_inf_iff] at hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1 have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2 exact ⟨x, ⟨hsx, hxt⟩, hx⟩ theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) := inter_comm t s ▸ ht.inter_right hs theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) : IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) : IsLindelof (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 theorem IsLindelof.image {f : X → Y} (hs : IsLindelof s) (hf : Continuous f) : IsLindelof (f '' s) := hs.image_of_continuousOn hf.continuousOn theorem IsLindelof.adherence_nhdset {f : Filter X} [CountableInterFilter f] (hs : IsLindelof s) (hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f := (eq_or_neBot _).casesOn mem_of_eq_bot fun _ ↦ let ⟨x, hx, hfx⟩ := @hs (f ⊓ 𝓟 tᶜ) _ _ <| 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 _ (ht₁.mem_nhds 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 theorem IsLindelof.elim_countable_subcover {ι : Type v} (hs : IsLindelof s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i) := by have hmono : ∀ ⦃s t : Set X⦄, s ⊆ t → (∃ r : Set ι, r.Countable ∧ t ⊆ ⋃ i ∈ r, U i) → (∃ r : Set ι, r.Countable ∧ s ⊆ ⋃ i ∈ r, U i) := by intro _ _ hst ⟨r, ⟨hrcountable, hsub⟩⟩ exact ⟨r, hrcountable, Subset.trans hst hsub⟩ have hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i)) → ∃ r : Set ι, r.Countable ∧ (⋃₀ S ⊆ ⋃ i ∈ r, U i) := by intro S hS hsr choose! r hr using hsr refine ⟨⋃ s ∈ S, r s, hS.biUnion_iff.mpr (fun s hs ↦ (hr s hs).1), ?_⟩ refine sUnion_subset ?h.right.h simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] exact fun i is x hx ↦ mem_biUnion is ((hr i is).2 hx) have h_nhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∃ r : Set ι, r.Countable ∧ (t ⊆ ⋃ i ∈ r, U i) := by intro x hx let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx) refine ⟨U i, mem_nhdsWithin_of_mem_nhds ((hUo i).mem_nhds hi), {i}, by simp, ?_⟩ simp only [mem_singleton_iff, iUnion_iUnion_eq_left] exact Subset.refl _ exact hs.induction_on hmono hcountable_union h_nhds theorem IsLindelof.elim_nhds_subcover' (hs : IsLindelof s) (U : ∀ x ∈ s, Set X) (hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) : ∃ t : Set s, t.Countable ∧ s ⊆ ⋃ x ∈ t, U (x : s) x.2 := by have := hs.elim_countable_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 _ _⟩ rcases this with ⟨r, ⟨hr, hs⟩⟩ use r, hr apply Subset.trans hs apply iUnion₂_subset intro i hi apply Subset.trans interior_subset exact subset_iUnion_of_subset i (subset_iUnion_of_subset hi (Subset.refl _)) theorem IsLindelof.elim_nhds_subcover (hs : IsLindelof s) (U : X → Set X) (hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x := by let ⟨t, ⟨htc, htsub⟩⟩ := hs.elim_nhds_subcover' (fun x _ ↦ U x) hU refine ⟨↑t, Countable.image htc Subtype.val, ?_⟩ constructor · intro _ simp only [mem_image, Subtype.exists, exists_and_right, exists_eq_right, forall_exists_index] tauto · have : ⋃ x ∈ t, U ↑x = ⋃ x ∈ Subtype.val '' t, U x := biUnion_image.symm rwa [← this] theorem IsLindelof.disjoint_nhdsSet_left {l : Filter X} [CountableInterFilter l] (hs : IsLindelof 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, htc, 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] exact (countable_bInter_mem htc).mpr (fun i hi ↦ hUl _ (hts _ hi)) theorem IsLindelof.disjoint_nhdsSet_right {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left theorem IsLindelof.elim_countable_subfamily_closed {ι : Type v} (hs : IsLindelof s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) : ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := by let U := tᶜ have hUo : ∀ i, IsOpen (U i) := by simp only [U, Pi.compl_apply, isOpen_compl_iff]; exact htc have hsU : s ⊆ ⋃ i, U i := by simp only [U, Pi.compl_apply] rw [← compl_iInter] apply disjoint_compl_left_iff_subset.mp simp only [compl_iInter, compl_iUnion, compl_compl] apply Disjoint.symm exact disjoint_iff_inter_eq_empty.mpr hst rcases hs.elim_countable_subcover U hUo hsU with ⟨u, ⟨hucount, husub⟩⟩ use u, hucount rw [← disjoint_compl_left_iff_subset] at husub simp only [U, Pi.compl_apply, compl_iUnion, compl_compl] at husub exact disjoint_iff_inter_eq_empty.mp (Disjoint.symm husub) theorem IsLindelof.inter_iInter_nonempty {ι : Type v} (hs : IsLindelof s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : ∀ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i).Nonempty) : (s ∩ ⋂ i, t i).Nonempty := by contrapose! hst rcases hs.elim_countable_subfamily_closed t htc hst with ⟨u, ⟨_, husub⟩⟩ exact ⟨u, fun _ ↦ husub⟩ theorem IsLindelof.elim_countable_subcover_image {b : Set ι} {c : ι → Set X} (hs : IsLindelof s) (hc₁ : ∀ i ∈ b, IsOpen (c i)) (hc₂ : s ⊆ ⋃ i ∈ b, c i) : ∃ b', b' ⊆ b ∧ Set.Countable b' ∧ s ⊆ ⋃ i ∈ b', c i := by simp only [Subtype.forall', biUnion_eq_iUnion] at hc₁ hc₂ rcases hs.elim_countable_subcover (fun i ↦ c i : b → Set X) hc₁ hc₂ with ⟨d, hd⟩ refine ⟨Subtype.val '' d, by simp, Countable.image hd.1 Subtype.val, ?_⟩ rw [biUnion_image] exact hd.2 theorem isLindelof_of_countable_subcover (h : ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i) : IsLindelof 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 fsub U hU hUf using h refine ⟨s, U, fun x ↦ (hU x).2, fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, (hU _).1 ⟩, ?_⟩ intro t ht h have uinf := f.sets_of_superset (le_principal_iff.1 fsub) h have uninf : ⋂ i ∈ t, (U i)ᶜ ∈ f := (countable_bInter_mem ht).mpr (fun _ _ ↦ hUf _) rw [← compl_iUnion₂] at uninf have uninf := compl_not_mem uninf simp only [compl_compl] at uninf contradiction theorem isLindelof_of_countable_subfamily_closed (h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅) : IsLindelof s := isLindelof_of_countable_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] theorem isLindelof_iff_countable_subcover : IsLindelof s ↔ ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i := ⟨fun hs ↦ hs.elim_countable_subcover, isLindelof_of_countable_subcover⟩ theorem isLindelof_iff_countable_subfamily_closed : IsLindelof s ↔ ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := ⟨fun hs ↦ hs.elim_countable_subfamily_closed, isLindelof_of_countable_subfamily_closed⟩ @[simp] theorem isLindelof_empty : IsLindelof (∅ : Set X) := fun _f hnf _ hsf ↦ Not.elim hnf.ne <| empty_mem_iff_bot.1 <| le_principal_iff.1 hsf @[simp] theorem isLindelof_singleton {x : X} : IsLindelof ({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⟩ theorem Set.Subsingleton.isLindelof (hs : s.Subsingleton) : IsLindelof s := Subsingleton.induction_on hs isLindelof_empty fun _ ↦ isLindelof_singleton theorem Set.Countable.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Countable) (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := by apply isLindelof_of_countable_subcover intro i U hU hUcover have hiU : ∀ i ∈ s, f i ⊆ ⋃ i, U i := fun _ is ↦ _root_.subset_trans (subset_biUnion_of_mem is) hUcover have iSets := fun i is ↦ (hf i is).elim_countable_subcover U hU (hiU i is) choose! r hr using iSets use ⋃ i ∈ s, r i constructor · refine (Countable.biUnion_iff hs).mpr ?h.left.a exact fun s hs ↦ (hr s hs).1 · refine iUnion₂_subset ?h.right.h intro i is simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] intro x hx exact mem_biUnion is ((hr i is).2 hx) theorem Set.Finite.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Finite) (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := Set.Countable.isLindelof_biUnion (countable hs) hf theorem Finset.isLindelof_biUnion (s : Finset ι) {f : ι → Set X} (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := s.finite_toSet.isLindelof_biUnion hf theorem isLindelof_accumulate {K : ℕ → Set X} (hK : ∀ n, IsLindelof (K n)) (n : ℕ) : IsLindelof (Accumulate K n) := (finite_le_nat n).isLindelof_biUnion fun k _ => hK k theorem Set.Countable.isLindelof_sUnion {S : Set (Set X)} (hf : S.Countable) (hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc theorem Set.Finite.isLindelof_sUnion {S : Set (Set X)} (hf : S.Finite) (hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc theorem isLindelof_iUnion {ι : Sort*} {f : ι → Set X} [Countable ι] (h : ∀ i, IsLindelof (f i)) : IsLindelof (⋃ i, f i) := (countable_range f).isLindelof_sUnion <| forall_mem_range.2 h theorem Set.Countable.isLindelof (hs : s.Countable) : IsLindelof s := biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton theorem Set.Finite.isLindelof (hs : s.Finite) : IsLindelof s := biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton theorem IsLindelof.countable_of_discrete [DiscreteTopology X] (hs : IsLindelof s) : s.Countable := 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, ht, _, hssubt⟩ rw [biUnion_of_singleton] at hssubt exact ht.mono hssubt theorem isLindelof_iff_countable [DiscreteTopology X] : IsLindelof s ↔ s.Countable := ⟨fun h => h.countable_of_discrete, fun h => h.isLindelof⟩ theorem IsLindelof.union (hs : IsLindelof s) (ht : IsLindelof t) : IsLindelof (s ∪ t) := by rw [union_eq_iUnion]; exact isLindelof_iUnion fun b => by cases b <;> assumption protected theorem IsLindelof.insert (hs : IsLindelof s) (a) : IsLindelof (insert a s) := isLindelof_singleton.union hs theorem isLindelof_open_iff_eq_countable_iUnion_of_isTopologicalBasis (b : ι → Set X) (hb : IsTopologicalBasis (Set.range b)) (hb' : ∀ i, IsLindelof (b i)) (U : Set X) : IsLindelof U ∧ IsOpen U ↔ ∃ s : Set ι, s.Countable ∧ U = ⋃ i ∈ s, b i := by constructor · rintro ⟨h₁, h₂⟩ obtain ⟨Y, f, rfl, hf⟩ := hb.open_eq_iUnion h₂ choose f' hf' using hf have : b ∘ f' = f := funext hf' subst this obtain ⟨t, ht⟩ := h₁.elim_countable_subcover (b ∘ f') (fun i => hb.isOpen (Set.mem_range_self _)) Subset.rfl refine ⟨t.image f', Countable.image (ht.1) f', le_antisymm ?_ ?_⟩ · refine Set.Subset.trans ht.2 ?_ simp only [Set.iUnion_subset_iff] intro i hi rw [← 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) ⟨_, mem_image_of_mem _ hi⟩ · apply Set.iUnion₂_subset rintro i hi obtain ⟨j, -, rfl⟩ := (mem_image ..).mp hi exact Set.subset_iUnion (b ∘ f') j · rintro ⟨s, hs, rfl⟩ constructor · exact hs.isLindelof_biUnion fun i _ => hb' i · exact isOpen_biUnion fun i _ => hb.isOpen (Set.mem_range_self _) def Filter.coLindelof (X : Type*) [TopologicalSpace X] : Filter X := --`Filter.coLindelof` is the filter generated by complements to Lindelöf sets. ⨅ (s : Set X) (_ : IsLindelof s), 𝓟 sᶜ theorem hasBasis_coLindelof : (coLindelof X).HasBasis IsLindelof 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⟩) ⟨∅, isLindelof_empty⟩ theorem mem_coLindelof : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ tᶜ ⊆ s := hasBasis_coLindelof.mem_iff theorem mem_coLindelof' : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ sᶜ ⊆ t := mem_coLindelof.trans <| exists_congr fun _ => and_congr_right fun _ => compl_subset_comm theorem _root_.IsLindelof.compl_mem_coLindelof (hs : IsLindelof s) : sᶜ ∈ coLindelof X := hasBasis_coLindelof.mem_of_mem hs theorem coLindelof_le_cofinite : coLindelof X ≤ cofinite := fun s hs => compl_compl s ▸ hs.isLindelof.compl_mem_coLindelof theorem Tendsto.isLindelof_insert_range_of_coLindelof {f : X → Y} {y} (hf : Tendsto f (coLindelof X) (𝓝 y)) (hfc : Continuous f) : IsLindelof (insert y (range f)) := by intro l hne _ hle by_cases hy : ClusterPt y l · exact ⟨y, Or.inl rfl, hy⟩ simp only [clusterPt_iff, not_forall, ← not_disjoint_iff_nonempty_inter, not_not] at hy rcases hy with ⟨s, hsy, t, htl, hd⟩ rcases mem_coLindelof.1 (hf hsy) with ⟨K, hKc, hKs⟩ have : f '' K ∈ l := by filter_upwards [htl, le_principal_iff.1 hle] with y hyt hyf rcases hyf with (rfl | ⟨x, rfl⟩) exacts [(hd.le_bot ⟨mem_of_mem_nhds hsy, hyt⟩).elim, mem_image_of_mem _ (not_not.1 fun hxK => hd.le_bot ⟨hKs hxK, hyt⟩)] rcases hKc.image hfc (le_principal_iff.2 this) with ⟨y, hy, hyl⟩ exact ⟨y, Or.inr <| image_subset_range _ _ hy, hyl⟩ def Filter.coclosedLindelof (X : Type*) [TopologicalSpace X] : Filter X := -- `Filter.coclosedLindelof` is the filter generated by complements to closed Lindelof sets. ⨅ (s : Set X) (_ : IsClosed s) (_ : IsLindelof s), 𝓟 sᶜ theorem hasBasis_coclosedLindelof : (Filter.coclosedLindelof X).HasBasis (fun s => IsClosed s ∧ IsLindelof s) compl := by simp only [Filter.coclosedLindelof, iInf_and'] refine hasBasis_biInf_principal' ?_ ⟨∅, isClosed_empty, isLindelof_empty⟩ rintro s ⟨hs₁, hs₂⟩ t ⟨ht₁, ht₂⟩ exact ⟨s ∪ t, ⟨⟨hs₁.union ht₁, hs₂.union ht₂⟩, compl_subset_compl.2 subset_union_left, compl_subset_compl.2 subset_union_right⟩⟩ theorem mem_coclosedLindelof : s ∈ coclosedLindelof X ↔ ∃ t, IsClosed t ∧ IsLindelof t ∧ tᶜ ⊆ s := by simp only [hasBasis_coclosedLindelof.mem_iff, and_assoc] theorem mem_coclosed_Lindelof' : s ∈ coclosedLindelof X ↔ ∃ t, IsClosed t ∧ IsLindelof t ∧ sᶜ ⊆ t := by simp only [mem_coclosedLindelof, compl_subset_comm] theorem coLindelof_le_coclosedLindelof : coLindelof X ≤ coclosedLindelof X := iInf_mono fun _ => le_iInf fun _ => le_rfl theorem IsLindeof.compl_mem_coclosedLindelof_of_isClosed (hs : IsLindelof s) (hs' : IsClosed s) : sᶜ ∈ Filter.coclosedLindelof X := hasBasis_coclosedLindelof.mem_of_mem ⟨hs', hs⟩ class LindelofSpace (X : Type*) [TopologicalSpace X] : Prop where isLindelof_univ : IsLindelof (univ : Set X) instance (priority := 10) Subsingleton.lindelofSpace [Subsingleton X] : LindelofSpace X := ⟨subsingleton_univ.isLindelof⟩ theorem isLindelof_univ_iff : IsLindelof (univ : Set X) ↔ LindelofSpace X := ⟨fun h => ⟨h⟩, fun h => h.1⟩ theorem isLindelof_univ [h : LindelofSpace X] : IsLindelof (univ : Set X) := h.isLindelof_univ
Mathlib/Topology/Compactness/Lindelof.lean
477
479
theorem cluster_point_of_Lindelof [LindelofSpace X] (f : Filter X) [NeBot f] [CountableInterFilter f] : ∃ x, ClusterPt x f := by
simpa using isLindelof_univ (show f ≤ 𝓟 univ by simp)
import Mathlib.CategoryTheory.Comma.Over import Mathlib.CategoryTheory.DiscreteCategory import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Limits.Shapes.Terminal #align_import category_theory.limits.shapes.binary_products from "leanprover-community/mathlib"@"fec1d95fc61c750c1ddbb5b1f7f48b8e811a80d7" noncomputable section universe v u u₂ open CategoryTheory namespace CategoryTheory.Limits inductive WalkingPair : Type | left | right deriving DecidableEq, Inhabited #align category_theory.limits.walking_pair CategoryTheory.Limits.WalkingPair open WalkingPair def WalkingPair.swap : WalkingPair ≃ WalkingPair where toFun j := WalkingPair.recOn j right left invFun j := WalkingPair.recOn j right left left_inv j := by cases j; repeat rfl right_inv j := by cases j; repeat rfl #align category_theory.limits.walking_pair.swap CategoryTheory.Limits.WalkingPair.swap @[simp] theorem WalkingPair.swap_apply_left : WalkingPair.swap left = right := rfl #align category_theory.limits.walking_pair.swap_apply_left CategoryTheory.Limits.WalkingPair.swap_apply_left @[simp] theorem WalkingPair.swap_apply_right : WalkingPair.swap right = left := rfl #align category_theory.limits.walking_pair.swap_apply_right CategoryTheory.Limits.WalkingPair.swap_apply_right @[simp] theorem WalkingPair.swap_symm_apply_tt : WalkingPair.swap.symm left = right := rfl #align category_theory.limits.walking_pair.swap_symm_apply_tt CategoryTheory.Limits.WalkingPair.swap_symm_apply_tt @[simp] theorem WalkingPair.swap_symm_apply_ff : WalkingPair.swap.symm right = left := rfl #align category_theory.limits.walking_pair.swap_symm_apply_ff CategoryTheory.Limits.WalkingPair.swap_symm_apply_ff def WalkingPair.equivBool : WalkingPair ≃ Bool where toFun j := WalkingPair.recOn j true false -- to match equiv.sum_equiv_sigma_bool invFun b := Bool.recOn b right left left_inv j := by cases j; repeat rfl right_inv b := by cases b; repeat rfl #align category_theory.limits.walking_pair.equiv_bool CategoryTheory.Limits.WalkingPair.equivBool @[simp] theorem WalkingPair.equivBool_apply_left : WalkingPair.equivBool left = true := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_left CategoryTheory.Limits.WalkingPair.equivBool_apply_left @[simp] theorem WalkingPair.equivBool_apply_right : WalkingPair.equivBool right = false := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_right CategoryTheory.Limits.WalkingPair.equivBool_apply_right @[simp] theorem WalkingPair.equivBool_symm_apply_true : WalkingPair.equivBool.symm true = left := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_tt CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_true @[simp] theorem WalkingPair.equivBool_symm_apply_false : WalkingPair.equivBool.symm false = right := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_ff CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_false variable {C : Type u} def pairFunction (X Y : C) : WalkingPair → C := fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair_function CategoryTheory.Limits.pairFunction @[simp] theorem pairFunction_left (X Y : C) : pairFunction X Y left = X := rfl #align category_theory.limits.pair_function_left CategoryTheory.Limits.pairFunction_left @[simp] theorem pairFunction_right (X Y : C) : pairFunction X Y right = Y := rfl #align category_theory.limits.pair_function_right CategoryTheory.Limits.pairFunction_right variable [Category.{v} C] def pair (X Y : C) : Discrete WalkingPair ⥤ C := Discrete.functor fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair CategoryTheory.Limits.pair @[simp] theorem pair_obj_left (X Y : C) : (pair X Y).obj ⟨left⟩ = X := rfl #align category_theory.limits.pair_obj_left CategoryTheory.Limits.pair_obj_left @[simp] theorem pair_obj_right (X Y : C) : (pair X Y).obj ⟨right⟩ = Y := rfl #align category_theory.limits.pair_obj_right CategoryTheory.Limits.pair_obj_right section variable {F G : Discrete WalkingPair ⥤ C} (f : F.obj ⟨left⟩ ⟶ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ⟶ G.obj ⟨right⟩) attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases def mapPair : F ⟶ G where app j := Discrete.recOn j fun j => WalkingPair.casesOn j f g naturality := fun ⟨X⟩ ⟨Y⟩ ⟨⟨u⟩⟩ => by aesop_cat #align category_theory.limits.map_pair CategoryTheory.Limits.mapPair @[simp] theorem mapPair_left : (mapPair f g).app ⟨left⟩ = f := rfl #align category_theory.limits.map_pair_left CategoryTheory.Limits.mapPair_left @[simp] theorem mapPair_right : (mapPair f g).app ⟨right⟩ = g := rfl #align category_theory.limits.map_pair_right CategoryTheory.Limits.mapPair_right @[simps!] def mapPairIso (f : F.obj ⟨left⟩ ≅ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ≅ G.obj ⟨right⟩) : F ≅ G := NatIso.ofComponents (fun j => Discrete.recOn j fun j => WalkingPair.casesOn j f g) (fun ⟨⟨u⟩⟩ => by aesop_cat) #align category_theory.limits.map_pair_iso CategoryTheory.Limits.mapPairIso end @[simps!] def diagramIsoPair (F : Discrete WalkingPair ⥤ C) : F ≅ pair (F.obj ⟨WalkingPair.left⟩) (F.obj ⟨WalkingPair.right⟩) := mapPairIso (Iso.refl _) (Iso.refl _) #align category_theory.limits.diagram_iso_pair CategoryTheory.Limits.diagramIsoPair section variable {D : Type u} [Category.{v} D] def pairComp (X Y : C) (F : C ⥤ D) : pair X Y ⋙ F ≅ pair (F.obj X) (F.obj Y) := diagramIsoPair _ #align category_theory.limits.pair_comp CategoryTheory.Limits.pairComp end abbrev BinaryFan (X Y : C) := Cone (pair X Y) #align category_theory.limits.binary_fan CategoryTheory.Limits.BinaryFan abbrev BinaryFan.fst {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_fan.fst CategoryTheory.Limits.BinaryFan.fst abbrev BinaryFan.snd {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_fan.snd CategoryTheory.Limits.BinaryFan.snd @[simp] theorem BinaryFan.π_app_left {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.left⟩ = s.fst := rfl #align category_theory.limits.binary_fan.π_app_left CategoryTheory.Limits.BinaryFan.π_app_left @[simp] theorem BinaryFan.π_app_right {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.right⟩ = s.snd := rfl #align category_theory.limits.binary_fan.π_app_right CategoryTheory.Limits.BinaryFan.π_app_right def BinaryFan.IsLimit.mk {X Y : C} (s : BinaryFan X Y) (lift : ∀ {T : C} (_ : T ⟶ X) (_ : T ⟶ Y), T ⟶ s.pt) (hl₁ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.fst = f) (hl₂ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.snd = g) (uniq : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y) (m : T ⟶ s.pt) (_ : m ≫ s.fst = f) (_ : m ≫ s.snd = g), m = lift f g) : IsLimit s := Limits.IsLimit.mk (fun t => lift (BinaryFan.fst t) (BinaryFan.snd t)) (by rintro t (rfl | rfl) · exact hl₁ _ _ · exact hl₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_fan.is_limit.mk CategoryTheory.Limits.BinaryFan.IsLimit.mk theorem BinaryFan.IsLimit.hom_ext {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) {f g : W ⟶ s.pt} (h₁ : f ≫ s.fst = g ≫ s.fst) (h₂ : f ≫ s.snd = g ≫ s.snd) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_fan.is_limit.hom_ext CategoryTheory.Limits.BinaryFan.IsLimit.hom_ext abbrev BinaryCofan (X Y : C) := Cocone (pair X Y) #align category_theory.limits.binary_cofan CategoryTheory.Limits.BinaryCofan abbrev BinaryCofan.inl {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_cofan.inl CategoryTheory.Limits.BinaryCofan.inl abbrev BinaryCofan.inr {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_cofan.inr CategoryTheory.Limits.BinaryCofan.inr @[simp] theorem BinaryCofan.ι_app_left {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.left⟩ = s.inl := rfl #align category_theory.limits.binary_cofan.ι_app_left CategoryTheory.Limits.BinaryCofan.ι_app_left @[simp] theorem BinaryCofan.ι_app_right {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.right⟩ = s.inr := rfl #align category_theory.limits.binary_cofan.ι_app_right CategoryTheory.Limits.BinaryCofan.ι_app_right def BinaryCofan.IsColimit.mk {X Y : C} (s : BinaryCofan X Y) (desc : ∀ {T : C} (_ : X ⟶ T) (_ : Y ⟶ T), s.pt ⟶ T) (hd₁ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inl ≫ desc f g = f) (hd₂ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inr ≫ desc f g = g) (uniq : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T) (m : s.pt ⟶ T) (_ : s.inl ≫ m = f) (_ : s.inr ≫ m = g), m = desc f g) : IsColimit s := Limits.IsColimit.mk (fun t => desc (BinaryCofan.inl t) (BinaryCofan.inr t)) (by rintro t (rfl | rfl) · exact hd₁ _ _ · exact hd₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_cofan.is_colimit.mk CategoryTheory.Limits.BinaryCofan.IsColimit.mk theorem BinaryCofan.IsColimit.hom_ext {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) {f g : s.pt ⟶ W} (h₁ : s.inl ≫ f = s.inl ≫ g) (h₂ : s.inr ≫ f = s.inr ≫ g) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_cofan.is_colimit.hom_ext CategoryTheory.Limits.BinaryCofan.IsColimit.hom_ext variable {X Y : C} section attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases -- Porting note: would it be okay to use this more generally? attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Eq @[simps pt] def BinaryFan.mk {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : BinaryFan X Y where pt := P π := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_fan.mk CategoryTheory.Limits.BinaryFan.mk @[simps pt] def BinaryCofan.mk {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : BinaryCofan X Y where pt := P ι := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_cofan.mk CategoryTheory.Limits.BinaryCofan.mk end @[simp] theorem BinaryFan.mk_fst {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).fst = π₁ := rfl #align category_theory.limits.binary_fan.mk_fst CategoryTheory.Limits.BinaryFan.mk_fst @[simp] theorem BinaryFan.mk_snd {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).snd = π₂ := rfl #align category_theory.limits.binary_fan.mk_snd CategoryTheory.Limits.BinaryFan.mk_snd @[simp] theorem BinaryCofan.mk_inl {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inl = ι₁ := rfl #align category_theory.limits.binary_cofan.mk_inl CategoryTheory.Limits.BinaryCofan.mk_inl @[simp] theorem BinaryCofan.mk_inr {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inr = ι₂ := rfl #align category_theory.limits.binary_cofan.mk_inr CategoryTheory.Limits.BinaryCofan.mk_inr def isoBinaryFanMk {X Y : C} (c : BinaryFan X Y) : c ≅ BinaryFan.mk c.fst c.snd := Cones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_fan_mk CategoryTheory.Limits.isoBinaryFanMk def isoBinaryCofanMk {X Y : C} (c : BinaryCofan X Y) : c ≅ BinaryCofan.mk c.inl c.inr := Cocones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_cofan_mk CategoryTheory.Limits.isoBinaryCofanMk def BinaryFan.isLimitMk {W : C} {fst : W ⟶ X} {snd : W ⟶ Y} (lift : ∀ s : BinaryFan X Y, s.pt ⟶ W) (fac_left : ∀ s : BinaryFan X Y, lift s ≫ fst = s.fst) (fac_right : ∀ s : BinaryFan X Y, lift s ≫ snd = s.snd) (uniq : ∀ (s : BinaryFan X Y) (m : s.pt ⟶ W) (_ : m ≫ fst = s.fst) (_ : m ≫ snd = s.snd), m = lift s) : IsLimit (BinaryFan.mk fst snd) := { lift := lift fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_fan.is_limit_mk CategoryTheory.Limits.BinaryFan.isLimitMk def BinaryCofan.isColimitMk {W : C} {inl : X ⟶ W} {inr : Y ⟶ W} (desc : ∀ s : BinaryCofan X Y, W ⟶ s.pt) (fac_left : ∀ s : BinaryCofan X Y, inl ≫ desc s = s.inl) (fac_right : ∀ s : BinaryCofan X Y, inr ≫ desc s = s.inr) (uniq : ∀ (s : BinaryCofan X Y) (m : W ⟶ s.pt) (_ : inl ≫ m = s.inl) (_ : inr ≫ m = s.inr), m = desc s) : IsColimit (BinaryCofan.mk inl inr) := { desc := desc fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_cofan.is_colimit_mk CategoryTheory.Limits.BinaryCofan.isColimitMk @[simps] def BinaryFan.IsLimit.lift' {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ s.pt // l ≫ s.fst = f ∧ l ≫ s.snd = g } := ⟨h.lift <| BinaryFan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_fan.is_limit.lift' CategoryTheory.Limits.BinaryFan.IsLimit.lift' @[simps] def BinaryCofan.IsColimit.desc' {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) (f : X ⟶ W) (g : Y ⟶ W) : { l : s.pt ⟶ W // s.inl ≫ l = f ∧ s.inr ≫ l = g } := ⟨h.desc <| BinaryCofan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_cofan.is_colimit.desc' CategoryTheory.Limits.BinaryCofan.IsColimit.desc' def BinaryFan.isLimitFlip {X Y : C} {c : BinaryFan X Y} (hc : IsLimit c) : IsLimit (BinaryFan.mk c.snd c.fst) := BinaryFan.isLimitMk (fun s => hc.lift (BinaryFan.mk s.snd s.fst)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryFan.IsLimit.hom_ext hc (e₂.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_fan.is_limit_flip CategoryTheory.Limits.BinaryFan.isLimitFlip theorem BinaryFan.isLimit_iff_isIso_fst {X Y : C} (h : IsTerminal Y) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.fst := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryFan.IsLimit.lift' H (𝟙 X) (h.from X) exact ⟨⟨l, BinaryFan.IsLimit.hom_ext H (by simpa [hl, -Category.comp_id] using Category.comp_id _) (h.hom_ext _ _), hl⟩⟩ · intro exact ⟨BinaryFan.IsLimit.mk _ (fun f _ => f ≫ inv c.fst) (fun _ _ => by simp) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => by simp [← e]⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_fst CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_fst theorem BinaryFan.isLimit_iff_isIso_snd {X Y : C} (h : IsTerminal X) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.snd := by refine Iff.trans ?_ (BinaryFan.isLimit_iff_isIso_fst h (BinaryFan.mk c.snd c.fst)) exact ⟨fun h => ⟨BinaryFan.isLimitFlip h.some⟩, fun h => ⟨(BinaryFan.isLimitFlip h.some).ofIsoLimit (isoBinaryFanMk c).symm⟩⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_snd CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_snd noncomputable def BinaryFan.isLimitCompLeftIso {X Y X' : C} (c : BinaryFan X Y) (f : X ⟶ X') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk (c.fst ≫ f) c.snd) := by fapply BinaryFan.isLimitMk · exact fun s => h.lift (BinaryFan.mk (s.fst ≫ inv f) s.snd) · intro s -- Porting note: simp timed out here simp only [Category.comp_id,BinaryFan.π_app_left,IsIso.inv_hom_id, BinaryFan.mk_fst,IsLimit.fac_assoc,eq_self_iff_true,Category.assoc] · intro s -- Porting note: simp timed out here simp only [BinaryFan.π_app_right,BinaryFan.mk_snd,eq_self_iff_true,IsLimit.fac] · intro s m e₁ e₂ -- Porting note: simpa timed out here also apply BinaryFan.IsLimit.hom_ext h · simpa only [BinaryFan.π_app_left,BinaryFan.mk_fst,Category.assoc,IsLimit.fac,IsIso.eq_comp_inv] · simpa only [BinaryFan.π_app_right,BinaryFan.mk_snd,IsLimit.fac] #align category_theory.limits.binary_fan.is_limit_comp_left_iso CategoryTheory.Limits.BinaryFan.isLimitCompLeftIso noncomputable def BinaryFan.isLimitCompRightIso {X Y Y' : C} (c : BinaryFan X Y) (f : Y ⟶ Y') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk c.fst (c.snd ≫ f)) := BinaryFan.isLimitFlip <| BinaryFan.isLimitCompLeftIso _ f (BinaryFan.isLimitFlip h) #align category_theory.limits.binary_fan.is_limit_comp_right_iso CategoryTheory.Limits.BinaryFan.isLimitCompRightIso def BinaryCofan.isColimitFlip {X Y : C} {c : BinaryCofan X Y} (hc : IsColimit c) : IsColimit (BinaryCofan.mk c.inr c.inl) := BinaryCofan.isColimitMk (fun s => hc.desc (BinaryCofan.mk s.inr s.inl)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryCofan.IsColimit.hom_ext hc (e₂.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_cofan.is_colimit_flip CategoryTheory.Limits.BinaryCofan.isColimitFlip theorem BinaryCofan.isColimit_iff_isIso_inl {X Y : C} (h : IsInitial Y) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inl := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryCofan.IsColimit.desc' H (𝟙 X) (h.to X) refine ⟨⟨l, hl, BinaryCofan.IsColimit.hom_ext H (?_) (h.hom_ext _ _)⟩⟩ rw [Category.comp_id] have e : (inl c ≫ l) ≫ inl c = 𝟙 X ≫ inl c := congrArg (·≫inl c) hl rwa [Category.assoc,Category.id_comp] at e · intro exact ⟨BinaryCofan.IsColimit.mk _ (fun f _ => inv c.inl ≫ f) (fun _ _ => IsIso.hom_inv_id_assoc _ _) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => (IsIso.eq_inv_comp _).mpr e⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inl CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inl theorem BinaryCofan.isColimit_iff_isIso_inr {X Y : C} (h : IsInitial X) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inr := by refine Iff.trans ?_ (BinaryCofan.isColimit_iff_isIso_inl h (BinaryCofan.mk c.inr c.inl)) exact ⟨fun h => ⟨BinaryCofan.isColimitFlip h.some⟩, fun h => ⟨(BinaryCofan.isColimitFlip h.some).ofIsoColimit (isoBinaryCofanMk c).symm⟩⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inr CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inr noncomputable def BinaryCofan.isColimitCompLeftIso {X Y X' : C} (c : BinaryCofan X Y) (f : X' ⟶ X) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk (f ≫ c.inl) c.inr) := by fapply BinaryCofan.isColimitMk · exact fun s => h.desc (BinaryCofan.mk (inv f ≫ s.inl) s.inr) · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] · intro s m e₁ e₂ apply BinaryCofan.IsColimit.hom_ext h · rw [← cancel_epi f] -- Porting note: simp timed out here too simpa only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] using e₁ -- Porting note: simp timed out here too · simpa only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] #align category_theory.limits.binary_cofan.is_colimit_comp_left_iso CategoryTheory.Limits.BinaryCofan.isColimitCompLeftIso noncomputable def BinaryCofan.isColimitCompRightIso {X Y Y' : C} (c : BinaryCofan X Y) (f : Y' ⟶ Y) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk c.inl (f ≫ c.inr)) := BinaryCofan.isColimitFlip <| BinaryCofan.isColimitCompLeftIso _ f (BinaryCofan.isColimitFlip h) #align category_theory.limits.binary_cofan.is_colimit_comp_right_iso CategoryTheory.Limits.BinaryCofan.isColimitCompRightIso abbrev HasBinaryProduct (X Y : C) := HasLimit (pair X Y) #align category_theory.limits.has_binary_product CategoryTheory.Limits.HasBinaryProduct abbrev HasBinaryCoproduct (X Y : C) := HasColimit (pair X Y) #align category_theory.limits.has_binary_coproduct CategoryTheory.Limits.HasBinaryCoproduct abbrev prod (X Y : C) [HasBinaryProduct X Y] := limit (pair X Y) #align category_theory.limits.prod CategoryTheory.Limits.prod abbrev coprod (X Y : C) [HasBinaryCoproduct X Y] := colimit (pair X Y) #align category_theory.limits.coprod CategoryTheory.Limits.coprod notation:20 X " ⨯ " Y:20 => prod X Y notation:20 X " ⨿ " Y:20 => coprod X Y abbrev prod.fst {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ X := limit.π (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.prod.fst CategoryTheory.Limits.prod.fst abbrev prod.snd {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ Y := limit.π (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.prod.snd CategoryTheory.Limits.prod.snd abbrev coprod.inl {X Y : C} [HasBinaryCoproduct X Y] : X ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.coprod.inl CategoryTheory.Limits.coprod.inl abbrev coprod.inr {X Y : C} [HasBinaryCoproduct X Y] : Y ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.coprod.inr CategoryTheory.Limits.coprod.inr def prodIsProd (X Y : C) [HasBinaryProduct X Y] : IsLimit (BinaryFan.mk (prod.fst : X ⨯ Y ⟶ X) prod.snd) := (limit.isLimit _).ofIsoLimit (Cones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.id_comp]; rfl · dsimp; simp only [Category.id_comp]; rfl )) #align category_theory.limits.prod_is_prod CategoryTheory.Limits.prodIsProd def coprodIsCoprod (X Y : C) [HasBinaryCoproduct X Y] : IsColimit (BinaryCofan.mk (coprod.inl : X ⟶ X ⨿ Y) coprod.inr) := (colimit.isColimit _).ofIsoColimit (Cocones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.comp_id] · dsimp; simp only [Category.comp_id] )) #align category_theory.limits.coprod_is_coprod CategoryTheory.Limits.coprodIsCoprod @[ext 1100] theorem prod.hom_ext {W X Y : C} [HasBinaryProduct X Y] {f g : W ⟶ X ⨯ Y} (h₁ : f ≫ prod.fst = g ≫ prod.fst) (h₂ : f ≫ prod.snd = g ≫ prod.snd) : f = g := BinaryFan.IsLimit.hom_ext (limit.isLimit _) h₁ h₂ #align category_theory.limits.prod.hom_ext CategoryTheory.Limits.prod.hom_ext @[ext 1100] theorem coprod.hom_ext {W X Y : C} [HasBinaryCoproduct X Y] {f g : X ⨿ Y ⟶ W} (h₁ : coprod.inl ≫ f = coprod.inl ≫ g) (h₂ : coprod.inr ≫ f = coprod.inr ≫ g) : f = g := BinaryCofan.IsColimit.hom_ext (colimit.isColimit _) h₁ h₂ #align category_theory.limits.coprod.hom_ext CategoryTheory.Limits.coprod.hom_ext abbrev prod.lift {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : W ⟶ X ⨯ Y := limit.lift _ (BinaryFan.mk f g) #align category_theory.limits.prod.lift CategoryTheory.Limits.prod.lift abbrev diag (X : C) [HasBinaryProduct X X] : X ⟶ X ⨯ X := prod.lift (𝟙 _) (𝟙 _) #align category_theory.limits.diag CategoryTheory.Limits.diag abbrev coprod.desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : X ⨿ Y ⟶ W := colimit.desc _ (BinaryCofan.mk f g) #align category_theory.limits.coprod.desc CategoryTheory.Limits.coprod.desc abbrev codiag (X : C) [HasBinaryCoproduct X X] : X ⨿ X ⟶ X := coprod.desc (𝟙 _) (𝟙 _) #align category_theory.limits.codiag CategoryTheory.Limits.codiag -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_fst {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.fst = f := limit.lift_π _ _ #align category_theory.limits.prod.lift_fst CategoryTheory.Limits.prod.lift_fst #align category_theory.limits.prod.lift_fst_assoc CategoryTheory.Limits.prod.lift_fst_assoc -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_snd {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.snd = g := limit.lift_π _ _ #align category_theory.limits.prod.lift_snd CategoryTheory.Limits.prod.lift_snd #align category_theory.limits.prod.lift_snd_assoc CategoryTheory.Limits.prod.lift_snd_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inl_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inl ≫ coprod.desc f g = f := colimit.ι_desc _ _ #align category_theory.limits.coprod.inl_desc CategoryTheory.Limits.coprod.inl_desc #align category_theory.limits.coprod.inl_desc_assoc CategoryTheory.Limits.coprod.inl_desc_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inr_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inr ≫ coprod.desc f g = g := colimit.ι_desc _ _ #align category_theory.limits.coprod.inr_desc CategoryTheory.Limits.coprod.inr_desc #align category_theory.limits.coprod.inr_desc_assoc CategoryTheory.Limits.coprod.inr_desc_assoc instance prod.mono_lift_of_mono_left {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono f] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_fst _ _ #align category_theory.limits.prod.mono_lift_of_mono_left CategoryTheory.Limits.prod.mono_lift_of_mono_left instance prod.mono_lift_of_mono_right {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono g] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_snd _ _ #align category_theory.limits.prod.mono_lift_of_mono_right CategoryTheory.Limits.prod.mono_lift_of_mono_right instance coprod.epi_desc_of_epi_left {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi f] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inl_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_left CategoryTheory.Limits.coprod.epi_desc_of_epi_left instance coprod.epi_desc_of_epi_right {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi g] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inr_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_right CategoryTheory.Limits.coprod.epi_desc_of_epi_right def prod.lift' {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ X ⨯ Y // l ≫ prod.fst = f ∧ l ≫ prod.snd = g } := ⟨prod.lift f g, prod.lift_fst _ _, prod.lift_snd _ _⟩ #align category_theory.limits.prod.lift' CategoryTheory.Limits.prod.lift' def coprod.desc' {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : { l : X ⨿ Y ⟶ W // coprod.inl ≫ l = f ∧ coprod.inr ≫ l = g } := ⟨coprod.desc f g, coprod.inl_desc _ _, coprod.inr_desc _ _⟩ #align category_theory.limits.coprod.desc' CategoryTheory.Limits.coprod.desc' def prod.map {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨯ X ⟶ Y ⨯ Z := limMap (mapPair f g) #align category_theory.limits.prod.map CategoryTheory.Limits.prod.map def coprod.map {W X Y Z : C} [HasBinaryCoproduct W X] [HasBinaryCoproduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨿ X ⟶ Y ⨿ Z := colimMap (mapPair f g) #align category_theory.limits.coprod.map CategoryTheory.Limits.coprod.map section CoprodLemmas -- @[reassoc (attr := simp)] @[simp] -- Porting note: removing reassoc tag since result is not hygienic (two h's) theorem coprod.desc_comp {V W X Y : C} [HasBinaryCoproduct X Y] (f : V ⟶ W) (g : X ⟶ V) (h : Y ⟶ V) : coprod.desc g h ≫ f = coprod.desc (g ≫ f) (h ≫ f) := by ext <;> simp #align category_theory.limits.coprod.desc_comp CategoryTheory.Limits.coprod.desc_comp -- Porting note: hand generated reassoc here. Simp can prove it theorem coprod.desc_comp_assoc {C : Type u} [Category C] {V W X Y : C} [HasBinaryCoproduct X Y] (f : V ⟶ W) (g : X ⟶ V) (h : Y ⟶ V) {Z : C} (l : W ⟶ Z) : coprod.desc g h ≫ f ≫ l = coprod.desc (g ≫ f) (h ≫ f) ≫ l := by simp #align category_theory.limits.coprod.desc_comp_assoc CategoryTheory.Limits.coprod.desc_comp theorem coprod.diag_comp {X Y : C} [HasBinaryCoproduct X X] (f : X ⟶ Y) : codiag X ≫ f = coprod.desc f f := by simp #align category_theory.limits.coprod.diag_comp CategoryTheory.Limits.coprod.diag_comp @[reassoc (attr := simp)] theorem coprod.inl_map {W X Y Z : C} [HasBinaryCoproduct W X] [HasBinaryCoproduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : coprod.inl ≫ coprod.map f g = f ≫ coprod.inl := ι_colimMap _ _ #align category_theory.limits.coprod.inl_map CategoryTheory.Limits.coprod.inl_map #align category_theory.limits.coprod.inl_map_assoc CategoryTheory.Limits.coprod.inl_map_assoc @[reassoc (attr := simp)] theorem coprod.inr_map {W X Y Z : C} [HasBinaryCoproduct W X] [HasBinaryCoproduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : coprod.inr ≫ coprod.map f g = g ≫ coprod.inr := ι_colimMap _ _ #align category_theory.limits.coprod.inr_map CategoryTheory.Limits.coprod.inr_map #align category_theory.limits.coprod.inr_map_assoc CategoryTheory.Limits.coprod.inr_map_assoc @[simp]
Mathlib/CategoryTheory/Limits/Shapes/BinaryProducts.lean
867
868
theorem coprod.map_id_id {X Y : C} [HasBinaryCoproduct X Y] : coprod.map (𝟙 X) (𝟙 Y) = 𝟙 _ := by
ext <;> simp
import Mathlib.Algebra.GroupWithZero.Divisibility import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.Data.Finset.Sort #align_import data.polynomial.basic from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" set_option linter.uppercaseLean3 false noncomputable section structure Polynomial (R : Type*) [Semiring R] where ofFinsupp :: toFinsupp : AddMonoidAlgebra R ℕ #align polynomial Polynomial #align polynomial.of_finsupp Polynomial.ofFinsupp #align polynomial.to_finsupp Polynomial.toFinsupp @[inherit_doc] scoped[Polynomial] notation:9000 R "[X]" => Polynomial R open AddMonoidAlgebra open Finsupp hiding single open Function hiding Commute open Polynomial namespace Polynomial universe u variable {R : Type u} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q : R[X]} theorem forall_iff_forall_finsupp (P : R[X] → Prop) : (∀ p, P p) ↔ ∀ q : R[ℕ], P ⟨q⟩ := ⟨fun h q => h ⟨q⟩, fun h ⟨p⟩ => h p⟩ #align polynomial.forall_iff_forall_finsupp Polynomial.forall_iff_forall_finsupp theorem exists_iff_exists_finsupp (P : R[X] → Prop) : (∃ p, P p) ↔ ∃ q : R[ℕ], P ⟨q⟩ := ⟨fun ⟨⟨p⟩, hp⟩ => ⟨p, hp⟩, fun ⟨q, hq⟩ => ⟨⟨q⟩, hq⟩⟩ #align polynomial.exists_iff_exists_finsupp Polynomial.exists_iff_exists_finsupp @[simp] theorem eta (f : R[X]) : Polynomial.ofFinsupp f.toFinsupp = f := by cases f; rfl #align polynomial.eta Polynomial.eta section AddMonoidAlgebra private irreducible_def add : R[X] → R[X] → R[X] | ⟨a⟩, ⟨b⟩ => ⟨a + b⟩ private irreducible_def neg {R : Type u} [Ring R] : R[X] → R[X] | ⟨a⟩ => ⟨-a⟩ private irreducible_def mul : R[X] → R[X] → R[X] | ⟨a⟩, ⟨b⟩ => ⟨a * b⟩ instance zero : Zero R[X] := ⟨⟨0⟩⟩ #align polynomial.has_zero Polynomial.zero instance one : One R[X] := ⟨⟨1⟩⟩ #align polynomial.one Polynomial.one instance add' : Add R[X] := ⟨add⟩ #align polynomial.has_add Polynomial.add' instance neg' {R : Type u} [Ring R] : Neg R[X] := ⟨neg⟩ #align polynomial.has_neg Polynomial.neg' instance sub {R : Type u} [Ring R] : Sub R[X] := ⟨fun a b => a + -b⟩ #align polynomial.has_sub Polynomial.sub instance mul' : Mul R[X] := ⟨mul⟩ #align polynomial.has_mul Polynomial.mul' -- If the private definitions are accidentally exposed, simplify them away. @[simp] theorem add_eq_add : add p q = p + q := rfl @[simp] theorem mul_eq_mul : mul p q = p * q := rfl instance smulZeroClass {S : Type*} [SMulZeroClass S R] : SMulZeroClass S R[X] where smul r p := ⟨r • p.toFinsupp⟩ smul_zero a := congr_arg ofFinsupp (smul_zero a) #align polynomial.smul_zero_class Polynomial.smulZeroClass -- to avoid a bug in the `ring` tactic instance (priority := 1) pow : Pow R[X] ℕ where pow p n := npowRec n p #align polynomial.has_pow Polynomial.pow @[simp] theorem ofFinsupp_zero : (⟨0⟩ : R[X]) = 0 := rfl #align polynomial.of_finsupp_zero Polynomial.ofFinsupp_zero @[simp] theorem ofFinsupp_one : (⟨1⟩ : R[X]) = 1 := rfl #align polynomial.of_finsupp_one Polynomial.ofFinsupp_one @[simp] theorem ofFinsupp_add {a b} : (⟨a + b⟩ : R[X]) = ⟨a⟩ + ⟨b⟩ := show _ = add _ _ by rw [add_def] #align polynomial.of_finsupp_add Polynomial.ofFinsupp_add @[simp] theorem ofFinsupp_neg {R : Type u} [Ring R] {a} : (⟨-a⟩ : R[X]) = -⟨a⟩ := show _ = neg _ by rw [neg_def] #align polynomial.of_finsupp_neg Polynomial.ofFinsupp_neg @[simp] theorem ofFinsupp_sub {R : Type u} [Ring R] {a b} : (⟨a - b⟩ : R[X]) = ⟨a⟩ - ⟨b⟩ := by rw [sub_eq_add_neg, ofFinsupp_add, ofFinsupp_neg] rfl #align polynomial.of_finsupp_sub Polynomial.ofFinsupp_sub @[simp] theorem ofFinsupp_mul (a b) : (⟨a * b⟩ : R[X]) = ⟨a⟩ * ⟨b⟩ := show _ = mul _ _ by rw [mul_def] #align polynomial.of_finsupp_mul Polynomial.ofFinsupp_mul @[simp] theorem ofFinsupp_smul {S : Type*} [SMulZeroClass S R] (a : S) (b) : (⟨a • b⟩ : R[X]) = (a • ⟨b⟩ : R[X]) := rfl #align polynomial.of_finsupp_smul Polynomial.ofFinsupp_smul @[simp] theorem ofFinsupp_pow (a) (n : ℕ) : (⟨a ^ n⟩ : R[X]) = ⟨a⟩ ^ n := by change _ = npowRec n _ induction n with | zero => simp [npowRec] | succ n n_ih => simp [npowRec, n_ih, pow_succ] #align polynomial.of_finsupp_pow Polynomial.ofFinsupp_pow @[simp] theorem toFinsupp_zero : (0 : R[X]).toFinsupp = 0 := rfl #align polynomial.to_finsupp_zero Polynomial.toFinsupp_zero @[simp] theorem toFinsupp_one : (1 : R[X]).toFinsupp = 1 := rfl #align polynomial.to_finsupp_one Polynomial.toFinsupp_one @[simp] theorem toFinsupp_add (a b : R[X]) : (a + b).toFinsupp = a.toFinsupp + b.toFinsupp := by cases a cases b rw [← ofFinsupp_add] #align polynomial.to_finsupp_add Polynomial.toFinsupp_add @[simp] theorem toFinsupp_neg {R : Type u} [Ring R] (a : R[X]) : (-a).toFinsupp = -a.toFinsupp := by cases a rw [← ofFinsupp_neg] #align polynomial.to_finsupp_neg Polynomial.toFinsupp_neg @[simp]
Mathlib/Algebra/Polynomial/Basic.lean
226
229
theorem toFinsupp_sub {R : Type u} [Ring R] (a b : R[X]) : (a - b).toFinsupp = a.toFinsupp - b.toFinsupp := by
rw [sub_eq_add_neg, ← toFinsupp_neg, ← toFinsupp_add] rfl
import Mathlib.Algebra.FreeMonoid.Basic #align_import algebra.free_monoid.count from "leanprover-community/mathlib"@"a2d2e18906e2b62627646b5d5be856e6a642062f" variable {α : Type*} (p : α → Prop) [DecidablePred p] namespace FreeAddMonoid def countP : FreeAddMonoid α →+ ℕ where toFun := List.countP p map_zero' := List.countP_nil _ map_add' := List.countP_append _ #align free_add_monoid.countp FreeAddMonoid.countP
Mathlib/Algebra/FreeMonoid/Count.lean
31
32
theorem countP_of (x : α) : countP p (of x) = if p x = true then 1 else 0 := by
simp [countP, List.countP, List.countP.go]
import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Data.Int.Log #align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {b x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def logb (b x : ℝ) : ℝ := log x / log b #align real.logb Real.logb theorem log_div_log : log x / log b = logb b x := rfl #align real.log_div_log Real.log_div_log @[simp] theorem logb_zero : logb b 0 = 0 := by simp [logb] #align real.logb_zero Real.logb_zero @[simp] theorem logb_one : logb b 1 = 0 := by simp [logb] #align real.logb_one Real.logb_one @[simp] lemma logb_self_eq_one (hb : 1 < b) : logb b b = 1 := div_self (log_pos hb).ne' lemma logb_self_eq_one_iff : logb b b = 1 ↔ b ≠ 0 ∧ b ≠ 1 ∧ b ≠ -1 := Iff.trans ⟨fun h h' => by simp [logb, h'] at h, div_self⟩ log_ne_zero @[simp] theorem logb_abs (x : ℝ) : logb b |x| = logb b x := by rw [logb, logb, log_abs] #align real.logb_abs Real.logb_abs @[simp] theorem logb_neg_eq_logb (x : ℝ) : logb b (-x) = logb b x := by rw [← logb_abs x, ← logb_abs (-x), abs_neg] #align real.logb_neg_eq_logb Real.logb_neg_eq_logb theorem logb_mul (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x * y) = logb b x + logb b y := by simp_rw [logb, log_mul hx hy, add_div] #align real.logb_mul Real.logb_mul theorem logb_div (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x / y) = logb b x - logb b y := by simp_rw [logb, log_div hx hy, sub_div] #align real.logb_div Real.logb_div @[simp] theorem logb_inv (x : ℝ) : logb b x⁻¹ = -logb b x := by simp [logb, neg_div] #align real.logb_inv Real.logb_inv theorem inv_logb (a b : ℝ) : (logb a b)⁻¹ = logb b a := by simp_rw [logb, inv_div] #align real.inv_logb Real.inv_logb theorem inv_logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : (logb (a * b) c)⁻¹ = (logb a c)⁻¹ + (logb b c)⁻¹ := by simp_rw [inv_logb]; exact logb_mul h₁ h₂ #align real.inv_logb_mul_base Real.inv_logb_mul_base theorem inv_logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : (logb (a / b) c)⁻¹ = (logb a c)⁻¹ - (logb b c)⁻¹ := by simp_rw [inv_logb]; exact logb_div h₁ h₂ #align real.inv_logb_div_base Real.inv_logb_div_base theorem logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : logb (a * b) c = ((logb a c)⁻¹ + (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_mul_base h₁ h₂ c, inv_inv] #align real.logb_mul_base Real.logb_mul_base theorem logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) : logb (a / b) c = ((logb a c)⁻¹ - (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_div_base h₁ h₂ c, inv_inv] #align real.logb_div_base Real.logb_div_base theorem mul_logb {a b c : ℝ} (h₁ : b ≠ 0) (h₂ : b ≠ 1) (h₃ : b ≠ -1) : logb a b * logb b c = logb a c := by unfold logb rw [mul_comm, div_mul_div_cancel _ (log_ne_zero.mpr ⟨h₁, h₂, h₃⟩)] #align real.mul_logb Real.mul_logb theorem div_logb {a b c : ℝ} (h₁ : c ≠ 0) (h₂ : c ≠ 1) (h₃ : c ≠ -1) : logb a c / logb b c = logb a b := div_div_div_cancel_left' _ _ <| log_ne_zero.mpr ⟨h₁, h₂, h₃⟩ #align real.div_logb Real.div_logb theorem logb_rpow_eq_mul_logb_of_pos (hx : 0 < x) : logb b (x ^ y) = y * logb b x := by rw [logb, log_rpow hx, logb, mul_div_assoc] theorem logb_pow {k : ℕ} (hx : 0 < x) : logb b (x ^ k) = k * logb b x := by rw [← rpow_natCast, logb_rpow_eq_mul_logb_of_pos hx] section OneLtB variable (hb : 1 < b) private theorem b_pos : 0 < b := by linarith -- Porting note: prime added to avoid clashing with `b_ne_one` further down the file private theorem b_ne_one' : b ≠ 1 := by linarith @[simp]
Mathlib/Analysis/SpecialFunctions/Log/Base.lean
195
196
theorem logb_le_logb (h : 0 < x) (h₁ : 0 < y) : logb b x ≤ logb b y ↔ x ≤ y := by
rw [logb, logb, div_le_div_right (log_pos hb), log_le_log_iff h h₁]
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"
Mathlib/RingTheory/Int/Basic.lean
88
90
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]
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Bits import Mathlib.Data.Nat.Log import Mathlib.Data.List.Indexes import Mathlib.Data.List.Palindrome import Mathlib.Tactic.IntervalCases import Mathlib.Tactic.Linarith import Mathlib.Tactic.Ring #align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768" namespace Nat variable {n : ℕ} def digitsAux0 : ℕ → List ℕ | 0 => [] | n + 1 => [n + 1] #align nat.digits_aux_0 Nat.digitsAux0 def digitsAux1 (n : ℕ) : List ℕ := List.replicate n 1 #align nat.digits_aux_1 Nat.digitsAux1 def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ | 0 => [] | n + 1 => ((n + 1) % b) :: digitsAux b h ((n + 1) / b) decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h #align nat.digits_aux Nat.digitsAux @[simp] theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux] #align nat.digits_aux_zero Nat.digitsAux_zero theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) : digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by cases n · cases w · rw [digitsAux] #align nat.digits_aux_def Nat.digitsAux_def def digits : ℕ → ℕ → List ℕ | 0 => digitsAux0 | 1 => digitsAux1 | b + 2 => digitsAux (b + 2) (by norm_num) #align nat.digits Nat.digits @[simp] theorem digits_zero (b : ℕ) : digits b 0 = [] := by rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1] #align nat.digits_zero Nat.digits_zero -- @[simp] -- Porting note (#10618): simp can prove this theorem digits_zero_zero : digits 0 0 = [] := rfl #align nat.digits_zero_zero Nat.digits_zero_zero @[simp] theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] := rfl #align nat.digits_zero_succ Nat.digits_zero_succ theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n] | 0, h => (h rfl).elim | _ + 1, _ => rfl #align nat.digits_zero_succ' Nat.digits_zero_succ' @[simp] theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 := rfl #align nat.digits_one Nat.digits_one -- @[simp] -- Porting note (#10685): dsimp can prove this theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n := rfl #align nat.digits_one_succ Nat.digits_one_succ theorem digits_add_two_add_one (b n : ℕ) : digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by simp [digits, digitsAux_def] #align nat.digits_add_two_add_one Nat.digits_add_two_add_one @[simp] lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) : Nat.digits b n = n % b :: Nat.digits b (n / b) := by rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one] theorem digits_def' : ∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b) | 0, h => absurd h (by decide) | 1, h => absurd h (by decide) | b + 2, _ => digitsAux_def _ (by simp) _ #align nat.digits_def' Nat.digits_def' @[simp] theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩ rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩ rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb] #align nat.digits_of_lt Nat.digits_of_lt theorem digits_add (b : ℕ) (h : 1 < b) (x y : ℕ) (hxb : x < b) (hxy : x ≠ 0 ∨ y ≠ 0) : digits b (x + b * y) = x :: digits b y := by rcases Nat.exists_eq_add_of_le' h with ⟨b, rfl : _ = _ + 2⟩ cases y · simp [hxb, hxy.resolve_right (absurd rfl)] dsimp [digits] rw [digitsAux_def] · congr · simp [Nat.add_mod, mod_eq_of_lt hxb] · simp [add_mul_div_left, div_eq_of_lt hxb] · apply Nat.succ_pos #align nat.digits_add Nat.digits_add -- If we had a function converting a list into a polynomial, -- and appropriate lemmas about that function, -- we could rewrite this in terms of that. def ofDigits {α : Type*} [Semiring α] (b : α) : List ℕ → α | [] => 0 | h :: t => h + b * ofDigits b t #align nat.of_digits Nat.ofDigits theorem ofDigits_eq_foldr {α : Type*} [Semiring α] (b : α) (L : List ℕ) : ofDigits b L = List.foldr (fun x y => ↑x + b * y) 0 L := by induction' L with d L ih · rfl · dsimp [ofDigits] rw [ih] #align nat.of_digits_eq_foldr Nat.ofDigits_eq_foldr
Mathlib/Data/Nat/Digits.lean
175
182
theorem ofDigits_eq_sum_map_with_index_aux (b : ℕ) (l : List ℕ) : ((List.range l.length).zipWith ((fun i a : ℕ => a * b ^ (i + 1))) l).sum = b * ((List.range l.length).zipWith (fun i a => a * b ^ i) l).sum := by
suffices (List.range l.length).zipWith (fun i a : ℕ => a * b ^ (i + 1)) l = (List.range l.length).zipWith (fun i a => b * (a * b ^ i)) l by simp [this] congr; ext; simp [pow_succ]; ring
import Mathlib.Topology.Order.IsLUB open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section DenselyOrdered variable [TopologicalSpace α] [LinearOrder α] [OrderTopology α] [DenselyOrdered α] {a b : α} {s : Set α} theorem closure_Ioi' {a : α} (h : (Ioi a).Nonempty) : closure (Ioi a) = Ici a := by apply Subset.antisymm · exact closure_minimal Ioi_subset_Ici_self isClosed_Ici · rw [← diff_subset_closure_iff, Ici_diff_Ioi_same, singleton_subset_iff] exact isGLB_Ioi.mem_closure h #align closure_Ioi' closure_Ioi' @[simp] theorem closure_Ioi (a : α) [NoMaxOrder α] : closure (Ioi a) = Ici a := closure_Ioi' nonempty_Ioi #align closure_Ioi closure_Ioi theorem closure_Iio' (h : (Iio a).Nonempty) : closure (Iio a) = Iic a := closure_Ioi' (α := αᵒᵈ) h #align closure_Iio' closure_Iio' @[simp] theorem closure_Iio (a : α) [NoMinOrder α] : closure (Iio a) = Iic a := closure_Iio' nonempty_Iio #align closure_Iio closure_Iio @[simp] theorem closure_Ioo {a b : α} (hab : a ≠ b) : closure (Ioo a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioo_subset_Icc_self isClosed_Icc · cases' hab.lt_or_lt with hab hab · rw [← diff_subset_closure_iff, Icc_diff_Ioo_same hab.le] have hab' : (Ioo a b).Nonempty := nonempty_Ioo.2 hab simp only [insert_subset_iff, singleton_subset_iff] exact ⟨(isGLB_Ioo hab).mem_closure hab', (isLUB_Ioo hab).mem_closure hab'⟩ · rw [Icc_eq_empty_of_lt hab] exact empty_subset _ #align closure_Ioo closure_Ioo @[simp] theorem closure_Ioc {a b : α} (hab : a ≠ b) : closure (Ioc a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ioc_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ioc_self) rw [closure_Ioo hab] #align closure_Ioc closure_Ioc @[simp] theorem closure_Ico {a b : α} (hab : a ≠ b) : closure (Ico a b) = Icc a b := by apply Subset.antisymm · exact closure_minimal Ico_subset_Icc_self isClosed_Icc · apply Subset.trans _ (closure_mono Ioo_subset_Ico_self) rw [closure_Ioo hab] #align closure_Ico closure_Ico @[simp] theorem interior_Ici' {a : α} (ha : (Iio a).Nonempty) : interior (Ici a) = Ioi a := by rw [← compl_Iio, interior_compl, closure_Iio' ha, compl_Iic] #align interior_Ici' interior_Ici' theorem interior_Ici [NoMinOrder α] {a : α} : interior (Ici a) = Ioi a := interior_Ici' nonempty_Iio #align interior_Ici interior_Ici @[simp] theorem interior_Iic' {a : α} (ha : (Ioi a).Nonempty) : interior (Iic a) = Iio a := interior_Ici' (α := αᵒᵈ) ha #align interior_Iic' interior_Iic' theorem interior_Iic [NoMaxOrder α] {a : α} : interior (Iic a) = Iio a := interior_Iic' nonempty_Ioi #align interior_Iic interior_Iic @[simp] theorem interior_Icc [NoMinOrder α] [NoMaxOrder α] {a b : α} : interior (Icc a b) = Ioo a b := by rw [← Ici_inter_Iic, interior_inter, interior_Ici, interior_Iic, Ioi_inter_Iio] #align interior_Icc interior_Icc @[simp] theorem Icc_mem_nhds_iff [NoMinOrder α] [NoMaxOrder α] {a b x : α} : Icc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Icc, mem_interior_iff_mem_nhds] @[simp] theorem interior_Ico [NoMinOrder α] {a b : α} : interior (Ico a b) = Ioo a b := by rw [← Ici_inter_Iio, interior_inter, interior_Ici, interior_Iio, Ioi_inter_Iio] #align interior_Ico interior_Ico @[simp] theorem Ico_mem_nhds_iff [NoMinOrder α] {a b x : α} : Ico a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Ico, mem_interior_iff_mem_nhds] @[simp] theorem interior_Ioc [NoMaxOrder α] {a b : α} : interior (Ioc a b) = Ioo a b := by rw [← Ioi_inter_Iic, interior_inter, interior_Ioi, interior_Iic, Ioi_inter_Iio] #align interior_Ioc interior_Ioc @[simp] theorem Ioc_mem_nhds_iff [NoMaxOrder α] {a b x : α} : Ioc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by rw [← interior_Ioc, mem_interior_iff_mem_nhds] theorem closure_interior_Icc {a b : α} (h : a ≠ b) : closure (interior (Icc a b)) = Icc a b := (closure_minimal interior_subset isClosed_Icc).antisymm <| calc Icc a b = closure (Ioo a b) := (closure_Ioo h).symm _ ⊆ closure (interior (Icc a b)) := closure_mono (interior_maximal Ioo_subset_Icc_self isOpen_Ioo) #align closure_interior_Icc closure_interior_Icc theorem Ioc_subset_closure_interior (a b : α) : Ioc a b ⊆ closure (interior (Ioc a b)) := by rcases eq_or_ne a b with (rfl | h) · simp · calc Ioc a b ⊆ Icc a b := Ioc_subset_Icc_self _ = closure (Ioo a b) := (closure_Ioo h).symm _ ⊆ closure (interior (Ioc a b)) := closure_mono (interior_maximal Ioo_subset_Ioc_self isOpen_Ioo) #align Ioc_subset_closure_interior Ioc_subset_closure_interior
Mathlib/Topology/Order/DenselyOrdered.lean
146
147
theorem Ico_subset_closure_interior (a b : α) : Ico a b ⊆ closure (interior (Ico a b)) := by
simpa only [dual_Ioc] using Ioc_subset_closure_interior (OrderDual.toDual b) (OrderDual.toDual a)
import Mathlib.Dynamics.Newton import Mathlib.LinearAlgebra.Semisimple open Algebra Polynomial namespace Module.End variable {K V : Type*} [Field K] [AddCommGroup V] [Module K V] [FiniteDimensional K V] {f : End K V}
Mathlib/LinearAlgebra/JordanChevalley.lean
42
65
theorem exists_isNilpotent_isSemisimple_of_separable_of_dvd_pow {P : K[X]} {k : ℕ} (sep : P.Separable) (nil : minpoly K f ∣ P ^ k) : ∃ᵉ (n ∈ adjoin K {f}) (s ∈ adjoin K {f}), IsNilpotent n ∧ IsSemisimple s ∧ f = n + s := by
set ff : adjoin K {f} := ⟨f, self_mem_adjoin_singleton K f⟩ set P' := derivative P have nil' : IsNilpotent (aeval ff P) := by use k obtain ⟨q, hq⟩ := nil rw [← AlgHom.map_pow, Subtype.ext_iff] simp [ff, hq] have sep' : IsUnit (aeval ff P') := by obtain ⟨a, b, h⟩ : IsCoprime (P ^ k) P' := sep.pow_left replace h : (aeval f b) * (aeval f P') = 1 := by simpa only [map_add, map_mul, map_one, minpoly.dvd_iff.mp nil, mul_zero, zero_add] using (aeval f).congr_arg h refine isUnit_of_mul_eq_one_right (aeval ff b) _ (Subtype.ext_iff.mpr ?_) simpa [ff, coe_aeval_mk_apply] using h obtain ⟨⟨s, mem⟩, ⟨⟨k, hk⟩, hss⟩, -⟩ := exists_unique_nilpotent_sub_and_aeval_eq_zero nil' sep' refine ⟨f - s, ?_, s, mem, ⟨k, ?_⟩, ?_, (sub_add_cancel f s).symm⟩ · exact sub_mem (self_mem_adjoin_singleton K f) mem · rw [Subtype.ext_iff] at hk simpa using hk · replace hss : aeval s P = 0 := by rwa [Subtype.ext_iff, coe_aeval_mk_apply] at hss exact isSemisimple_of_squarefree_aeval_eq_zero sep.squarefree hss
import Mathlib.Geometry.Manifold.SmoothManifoldWithCorners import Mathlib.Geometry.Manifold.LocalInvariantProperties #align_import geometry.manifold.cont_mdiff from "leanprover-community/mathlib"@"e5ab837fc252451f3eb9124ae6e7b6f57455e7b9" open Set Function Filter ChartedSpace SmoothManifoldWithCorners open scoped Topology Manifold variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] -- declare a smooth manifold `M` over the pair `(E, H)`. {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] -- declare a smooth manifold `M'` over the pair `(E', H')`. {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] -- declare a manifold `M''` over the pair `(E'', H'')`. {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] {I'' : ModelWithCorners 𝕜 E'' H''} {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] -- declare a smooth manifold `N` over the pair `(F, G)`. {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G] {J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N] [SmoothManifoldWithCorners J N] -- declare a smooth manifold `N'` over the pair `(F', G')`. {F' : Type*} [NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G'] {J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N'] [SmoothManifoldWithCorners J' N'] -- F₁, F₂, F₃, F₄ are normed spaces {F₁ : Type*} [NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂] [NormedSpace 𝕜 F₂] {F₃ : Type*} [NormedAddCommGroup F₃] [NormedSpace 𝕜 F₃] {F₄ : Type*} [NormedAddCommGroup F₄] [NormedSpace 𝕜 F₄] -- declare functions, sets, points and smoothness indices {e : PartialHomeomorph M H} {e' : PartialHomeomorph M' H'} {f f₁ : M → M'} {s s₁ t : Set M} {x : M} {m n : ℕ∞} def ContDiffWithinAtProp (n : ℕ∞) (f : H → H') (s : Set H) (x : H) : Prop := ContDiffWithinAt 𝕜 n (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I x) #align cont_diff_within_at_prop ContDiffWithinAtProp theorem contDiffWithinAtProp_self_source {f : E → H'} {s : Set E} {x : E} : ContDiffWithinAtProp 𝓘(𝕜, E) I' n f s x ↔ ContDiffWithinAt 𝕜 n (I' ∘ f) s x := by simp_rw [ContDiffWithinAtProp, modelWithCornersSelf_coe, range_id, inter_univ, modelWithCornersSelf_coe_symm, CompTriple.comp_eq, preimage_id_eq, id_eq] #align cont_diff_within_at_prop_self_source contDiffWithinAtProp_self_source theorem contDiffWithinAtProp_self {f : E → E'} {s : Set E} {x : E} : ContDiffWithinAtProp 𝓘(𝕜, E) 𝓘(𝕜, E') n f s x ↔ ContDiffWithinAt 𝕜 n f s x := contDiffWithinAtProp_self_source 𝓘(𝕜, E') #align cont_diff_within_at_prop_self contDiffWithinAtProp_self theorem contDiffWithinAtProp_self_target {f : H → E'} {s : Set H} {x : H} : ContDiffWithinAtProp I 𝓘(𝕜, E') n f s x ↔ ContDiffWithinAt 𝕜 n (f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I x) := Iff.rfl #align cont_diff_within_at_prop_self_target contDiffWithinAtProp_self_target theorem contDiffWithinAt_localInvariantProp (n : ℕ∞) : (contDiffGroupoid ∞ I).LocalInvariantProp (contDiffGroupoid ∞ I') (ContDiffWithinAtProp I I' n) where is_local {s x u f} u_open xu := by have : I.symm ⁻¹' (s ∩ u) ∩ range I = I.symm ⁻¹' s ∩ range I ∩ I.symm ⁻¹' u := by simp only [inter_right_comm, preimage_inter] rw [ContDiffWithinAtProp, ContDiffWithinAtProp, this] symm apply contDiffWithinAt_inter have : u ∈ 𝓝 (I.symm (I x)) := by rw [ModelWithCorners.left_inv] exact u_open.mem_nhds xu apply ContinuousAt.preimage_mem_nhds I.continuous_symm.continuousAt this right_invariance' {s x f e} he hx h := by rw [ContDiffWithinAtProp] at h ⊢ have : I x = (I ∘ e.symm ∘ I.symm) (I (e x)) := by simp only [hx, mfld_simps] rw [this] at h have : I (e x) ∈ I.symm ⁻¹' e.target ∩ range I := by simp only [hx, mfld_simps] have := (mem_groupoid_of_pregroupoid.2 he).2.contDiffWithinAt this convert (h.comp' _ (this.of_le le_top)).mono_of_mem _ using 1 · ext y; simp only [mfld_simps] refine mem_nhdsWithin.mpr ⟨I.symm ⁻¹' e.target, e.open_target.preimage I.continuous_symm, by simp_rw [mem_preimage, I.left_inv, e.mapsTo hx], ?_⟩ mfld_set_tac congr_of_forall {s x f g} h hx hf := by apply hf.congr · intro y hy simp only [mfld_simps] at hy simp only [h, hy, mfld_simps] · simp only [hx, mfld_simps] left_invariance' {s x f e'} he' hs hx h := by rw [ContDiffWithinAtProp] at h ⊢ have A : (I' ∘ f ∘ I.symm) (I x) ∈ I'.symm ⁻¹' e'.source ∩ range I' := by simp only [hx, mfld_simps] have := (mem_groupoid_of_pregroupoid.2 he').1.contDiffWithinAt A convert (this.of_le le_top).comp _ h _ · ext y; simp only [mfld_simps] · intro y hy; simp only [mfld_simps] at hy; simpa only [hy, mfld_simps] using hs hy.1 #align cont_diff_within_at_local_invariant_prop contDiffWithinAt_localInvariantProp theorem contDiffWithinAtProp_mono_of_mem (n : ℕ∞) ⦃s x t⦄ ⦃f : H → H'⦄ (hts : s ∈ 𝓝[t] x) (h : ContDiffWithinAtProp I I' n f s x) : ContDiffWithinAtProp I I' n f t x := by refine h.mono_of_mem ?_ refine inter_mem ?_ (mem_of_superset self_mem_nhdsWithin inter_subset_right) rwa [← Filter.mem_map, ← I.image_eq, I.symm_map_nhdsWithin_image] #align cont_diff_within_at_prop_mono_of_mem contDiffWithinAtProp_mono_of_mem theorem contDiffWithinAtProp_id (x : H) : ContDiffWithinAtProp I I n id univ x := by simp only [ContDiffWithinAtProp, id_comp, preimage_univ, univ_inter] have : ContDiffWithinAt 𝕜 n id (range I) (I x) := contDiff_id.contDiffAt.contDiffWithinAt refine this.congr (fun y hy => ?_) ?_ · simp only [ModelWithCorners.right_inv I hy, mfld_simps] · simp only [mfld_simps] #align cont_diff_within_at_prop_id contDiffWithinAtProp_id def ContMDiffWithinAt (n : ℕ∞) (f : M → M') (s : Set M) (x : M) := LiftPropWithinAt (ContDiffWithinAtProp I I' n) f s x #align cont_mdiff_within_at ContMDiffWithinAt abbrev SmoothWithinAt (f : M → M') (s : Set M) (x : M) := ContMDiffWithinAt I I' ⊤ f s x #align smooth_within_at SmoothWithinAt def ContMDiffAt (n : ℕ∞) (f : M → M') (x : M) := ContMDiffWithinAt I I' n f univ x #align cont_mdiff_at ContMDiffAt theorem contMDiffAt_iff {n : ℕ∞} {f : M → M'} {x : M} : ContMDiffAt I I' n f x ↔ ContinuousAt f x ∧ ContDiffWithinAt 𝕜 n (extChartAt I' (f x) ∘ f ∘ (extChartAt I x).symm) (range I) (extChartAt I x x) := liftPropAt_iff.trans <| by rw [ContDiffWithinAtProp, preimage_univ, univ_inter]; rfl #align cont_mdiff_at_iff contMDiffAt_iff abbrev SmoothAt (f : M → M') (x : M) := ContMDiffAt I I' ⊤ f x #align smooth_at SmoothAt def ContMDiffOn (n : ℕ∞) (f : M → M') (s : Set M) := ∀ x ∈ s, ContMDiffWithinAt I I' n f s x #align cont_mdiff_on ContMDiffOn abbrev SmoothOn (f : M → M') (s : Set M) := ContMDiffOn I I' ⊤ f s #align smooth_on SmoothOn def ContMDiff (n : ℕ∞) (f : M → M') := ∀ x, ContMDiffAt I I' n f x #align cont_mdiff ContMDiff abbrev Smooth (f : M → M') := ContMDiff I I' ⊤ f #align smooth Smooth variable {I I'} theorem ContMDiffWithinAt.of_le (hf : ContMDiffWithinAt I I' n f s x) (le : m ≤ n) : ContMDiffWithinAt I I' m f s x := by simp only [ContMDiffWithinAt, LiftPropWithinAt] at hf ⊢ exact ⟨hf.1, hf.2.of_le le⟩ #align cont_mdiff_within_at.of_le ContMDiffWithinAt.of_le theorem ContMDiffAt.of_le (hf : ContMDiffAt I I' n f x) (le : m ≤ n) : ContMDiffAt I I' m f x := ContMDiffWithinAt.of_le hf le #align cont_mdiff_at.of_le ContMDiffAt.of_le theorem ContMDiffOn.of_le (hf : ContMDiffOn I I' n f s) (le : m ≤ n) : ContMDiffOn I I' m f s := fun x hx => (hf x hx).of_le le #align cont_mdiff_on.of_le ContMDiffOn.of_le theorem ContMDiff.of_le (hf : ContMDiff I I' n f) (le : m ≤ n) : ContMDiff I I' m f := fun x => (hf x).of_le le #align cont_mdiff.of_le ContMDiff.of_le theorem ContMDiff.smooth (h : ContMDiff I I' ⊤ f) : Smooth I I' f := h #align cont_mdiff.smooth ContMDiff.smooth theorem Smooth.contMDiff (h : Smooth I I' f) : ContMDiff I I' n f := h.of_le le_top #align smooth.cont_mdiff Smooth.contMDiff theorem ContMDiffOn.smoothOn (h : ContMDiffOn I I' ⊤ f s) : SmoothOn I I' f s := h #align cont_mdiff_on.smooth_on ContMDiffOn.smoothOn theorem SmoothOn.contMDiffOn (h : SmoothOn I I' f s) : ContMDiffOn I I' n f s := h.of_le le_top #align smooth_on.cont_mdiff_on SmoothOn.contMDiffOn theorem ContMDiffAt.smoothAt (h : ContMDiffAt I I' ⊤ f x) : SmoothAt I I' f x := h #align cont_mdiff_at.smooth_at ContMDiffAt.smoothAt theorem SmoothAt.contMDiffAt (h : SmoothAt I I' f x) : ContMDiffAt I I' n f x := h.of_le le_top #align smooth_at.cont_mdiff_at SmoothAt.contMDiffAt theorem ContMDiffWithinAt.smoothWithinAt (h : ContMDiffWithinAt I I' ⊤ f s x) : SmoothWithinAt I I' f s x := h #align cont_mdiff_within_at.smooth_within_at ContMDiffWithinAt.smoothWithinAt theorem SmoothWithinAt.contMDiffWithinAt (h : SmoothWithinAt I I' f s x) : ContMDiffWithinAt I I' n f s x := h.of_le le_top #align smooth_within_at.cont_mdiff_within_at SmoothWithinAt.contMDiffWithinAt theorem ContMDiff.contMDiffAt (h : ContMDiff I I' n f) : ContMDiffAt I I' n f x := h x #align cont_mdiff.cont_mdiff_at ContMDiff.contMDiffAt theorem Smooth.smoothAt (h : Smooth I I' f) : SmoothAt I I' f x := ContMDiff.contMDiffAt h #align smooth.smooth_at Smooth.smoothAt theorem contMDiffWithinAt_univ : ContMDiffWithinAt I I' n f univ x ↔ ContMDiffAt I I' n f x := Iff.rfl #align cont_mdiff_within_at_univ contMDiffWithinAt_univ theorem smoothWithinAt_univ : SmoothWithinAt I I' f univ x ↔ SmoothAt I I' f x := contMDiffWithinAt_univ #align smooth_within_at_univ smoothWithinAt_univ theorem contMDiffOn_univ : ContMDiffOn I I' n f univ ↔ ContMDiff I I' n f := by simp only [ContMDiffOn, ContMDiff, contMDiffWithinAt_univ, forall_prop_of_true, mem_univ] #align cont_mdiff_on_univ contMDiffOn_univ theorem smoothOn_univ : SmoothOn I I' f univ ↔ Smooth I I' f := contMDiffOn_univ #align smooth_on_univ smoothOn_univ theorem contMDiffWithinAt_iff : ContMDiffWithinAt I I' n f s x ↔ ContinuousWithinAt f s x ∧ ContDiffWithinAt 𝕜 n (extChartAt I' (f x) ∘ f ∘ (extChartAt I x).symm) ((extChartAt I x).symm ⁻¹' s ∩ range I) (extChartAt I x x) := by simp_rw [ContMDiffWithinAt, liftPropWithinAt_iff']; rfl #align cont_mdiff_within_at_iff contMDiffWithinAt_iff theorem contMDiffWithinAt_iff' : ContMDiffWithinAt I I' n f s x ↔ ContinuousWithinAt f s x ∧ ContDiffWithinAt 𝕜 n (extChartAt I' (f x) ∘ f ∘ (extChartAt I x).symm) ((extChartAt I x).target ∩ (extChartAt I x).symm ⁻¹' (s ∩ f ⁻¹' (extChartAt I' (f x)).source)) (extChartAt I x x) := by simp only [ContMDiffWithinAt, liftPropWithinAt_iff'] exact and_congr_right fun hc => contDiffWithinAt_congr_nhds <| hc.nhdsWithin_extChartAt_symm_preimage_inter_range I I' #align cont_mdiff_within_at_iff' contMDiffWithinAt_iff' theorem contMDiffWithinAt_iff_target : ContMDiffWithinAt I I' n f s x ↔ ContinuousWithinAt f s x ∧ ContMDiffWithinAt I 𝓘(𝕜, E') n (extChartAt I' (f x) ∘ f) s x := by simp_rw [ContMDiffWithinAt, liftPropWithinAt_iff', ← and_assoc] have cont : ContinuousWithinAt f s x ∧ ContinuousWithinAt (extChartAt I' (f x) ∘ f) s x ↔ ContinuousWithinAt f s x := and_iff_left_of_imp <| (continuousAt_extChartAt _ _).comp_continuousWithinAt simp_rw [cont, ContDiffWithinAtProp, extChartAt, PartialHomeomorph.extend, PartialEquiv.coe_trans, ModelWithCorners.toPartialEquiv_coe, PartialHomeomorph.coe_coe, modelWithCornersSelf_coe, chartAt_self_eq, PartialHomeomorph.refl_apply, id_comp] rfl #align cont_mdiff_within_at_iff_target contMDiffWithinAt_iff_target theorem smoothWithinAt_iff : SmoothWithinAt I I' f s x ↔ ContinuousWithinAt f s x ∧ ContDiffWithinAt 𝕜 ∞ (extChartAt I' (f x) ∘ f ∘ (extChartAt I x).symm) ((extChartAt I x).symm ⁻¹' s ∩ range I) (extChartAt I x x) := contMDiffWithinAt_iff #align smooth_within_at_iff smoothWithinAt_iff theorem smoothWithinAt_iff_target : SmoothWithinAt I I' f s x ↔ ContinuousWithinAt f s x ∧ SmoothWithinAt I 𝓘(𝕜, E') (extChartAt I' (f x) ∘ f) s x := contMDiffWithinAt_iff_target #align smooth_within_at_iff_target smoothWithinAt_iff_target theorem contMDiffAt_iff_target {x : M} : ContMDiffAt I I' n f x ↔ ContinuousAt f x ∧ ContMDiffAt I 𝓘(𝕜, E') n (extChartAt I' (f x) ∘ f) x := by rw [ContMDiffAt, ContMDiffAt, contMDiffWithinAt_iff_target, continuousWithinAt_univ] #align cont_mdiff_at_iff_target contMDiffAt_iff_target theorem smoothAt_iff_target {x : M} : SmoothAt I I' f x ↔ ContinuousAt f x ∧ SmoothAt I 𝓘(𝕜, E') (extChartAt I' (f x) ∘ f) x := contMDiffAt_iff_target #align smooth_at_iff_target smoothAt_iff_target theorem contMDiffWithinAt_iff_of_mem_maximalAtlas {x : M} (he : e ∈ maximalAtlas I M) (he' : e' ∈ maximalAtlas I' M') (hx : x ∈ e.source) (hy : f x ∈ e'.source) : ContMDiffWithinAt I I' n f s x ↔ ContinuousWithinAt f s x ∧ ContDiffWithinAt 𝕜 n (e'.extend I' ∘ f ∘ (e.extend I).symm) ((e.extend I).symm ⁻¹' s ∩ range I) (e.extend I x) := (contDiffWithinAt_localInvariantProp I I' n).liftPropWithinAt_indep_chart he hx he' hy #align cont_mdiff_within_at_iff_of_mem_maximal_atlas contMDiffWithinAt_iff_of_mem_maximalAtlas theorem contMDiffWithinAt_iff_image {x : M} (he : e ∈ maximalAtlas I M) (he' : e' ∈ maximalAtlas I' M') (hs : s ⊆ e.source) (hx : x ∈ e.source) (hy : f x ∈ e'.source) : ContMDiffWithinAt I I' n f s x ↔ ContinuousWithinAt f s x ∧ ContDiffWithinAt 𝕜 n (e'.extend I' ∘ f ∘ (e.extend I).symm) (e.extend I '' s) (e.extend I x) := by rw [contMDiffWithinAt_iff_of_mem_maximalAtlas he he' hx hy, and_congr_right_iff] refine fun _ => contDiffWithinAt_congr_nhds ?_ simp_rw [nhdsWithin_eq_iff_eventuallyEq, e.extend_symm_preimage_inter_range_eventuallyEq I hs hx] #align cont_mdiff_within_at_iff_image contMDiffWithinAt_iff_image theorem contMDiffWithinAt_iff_of_mem_source {x' : M} {y : M'} (hx : x' ∈ (chartAt H x).source) (hy : f x' ∈ (chartAt H' y).source) : ContMDiffWithinAt I I' n f s x' ↔ ContinuousWithinAt f s x' ∧ ContDiffWithinAt 𝕜 n (extChartAt I' y ∘ f ∘ (extChartAt I x).symm) ((extChartAt I x).symm ⁻¹' s ∩ range I) (extChartAt I x x') := contMDiffWithinAt_iff_of_mem_maximalAtlas (chart_mem_maximalAtlas _ x) (chart_mem_maximalAtlas _ y) hx hy #align cont_mdiff_within_at_iff_of_mem_source contMDiffWithinAt_iff_of_mem_source
Mathlib/Geometry/Manifold/ContMDiff/Defs.lean
422
437
theorem contMDiffWithinAt_iff_of_mem_source' {x' : M} {y : M'} (hx : x' ∈ (chartAt H x).source) (hy : f x' ∈ (chartAt H' y).source) : ContMDiffWithinAt I I' n f s x' ↔ ContinuousWithinAt f s x' ∧ ContDiffWithinAt 𝕜 n (extChartAt I' y ∘ f ∘ (extChartAt I x).symm) ((extChartAt I x).target ∩ (extChartAt I x).symm ⁻¹' (s ∩ f ⁻¹' (extChartAt I' y).source)) (extChartAt I x x') := by
refine (contMDiffWithinAt_iff_of_mem_source hx hy).trans ?_ rw [← extChartAt_source I] at hx rw [← extChartAt_source I'] at hy rw [and_congr_right_iff] set e := extChartAt I x; set e' := extChartAt I' (f x) refine fun hc => contDiffWithinAt_congr_nhds ?_ rw [← e.image_source_inter_eq', ← map_extChartAt_nhdsWithin_eq_image' I hx, ← map_extChartAt_nhdsWithin' I hx, inter_comm, nhdsWithin_inter_of_mem] exact hc (extChartAt_source_mem_nhds' _ hy)
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Mul import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section Prod section CLMCompApply open ContinuousLinearMap variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {c : 𝕜 → F →L[𝕜] G} {c' : F →L[𝕜] G} {d : 𝕜 → E →L[𝕜] F} {d' : E →L[𝕜] F} {u : 𝕜 → F} {u' : F} theorem HasStrictDerivAt.clm_comp (hc : HasStrictDerivAt c c' x) (hd : HasStrictDerivAt d d' x) : HasStrictDerivAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') x := by have := (hc.hasStrictFDerivAt.clm_comp hd.hasStrictFDerivAt).hasStrictDerivAt rwa [add_apply, comp_apply, comp_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this #align has_strict_deriv_at.clm_comp HasStrictDerivAt.clm_comp theorem HasDerivWithinAt.clm_comp (hc : HasDerivWithinAt c c' s x) (hd : HasDerivWithinAt d d' s x) : HasDerivWithinAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') s x := by have := (hc.hasFDerivWithinAt.clm_comp hd.hasFDerivWithinAt).hasDerivWithinAt rwa [add_apply, comp_apply, comp_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this #align has_deriv_within_at.clm_comp HasDerivWithinAt.clm_comp theorem HasDerivAt.clm_comp (hc : HasDerivAt c c' x) (hd : HasDerivAt d d' x) : HasDerivAt (fun y => (c y).comp (d y)) (c'.comp (d x) + (c x).comp d') x := by rw [← hasDerivWithinAt_univ] at * exact hc.clm_comp hd #align has_deriv_at.clm_comp HasDerivAt.clm_comp theorem derivWithin_clm_comp (hc : DifferentiableWithinAt 𝕜 c s x) (hd : DifferentiableWithinAt 𝕜 d s x) (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin (fun y => (c y).comp (d y)) s x = (derivWithin c s x).comp (d x) + (c x).comp (derivWithin d s x) := (hc.hasDerivWithinAt.clm_comp hd.hasDerivWithinAt).derivWithin hxs #align deriv_within_clm_comp derivWithin_clm_comp theorem deriv_clm_comp (hc : DifferentiableAt 𝕜 c x) (hd : DifferentiableAt 𝕜 d x) : deriv (fun y => (c y).comp (d y)) x = (deriv c x).comp (d x) + (c x).comp (deriv d x) := (hc.hasDerivAt.clm_comp hd.hasDerivAt).deriv #align deriv_clm_comp deriv_clm_comp theorem HasStrictDerivAt.clm_apply (hc : HasStrictDerivAt c c' x) (hu : HasStrictDerivAt u u' x) : HasStrictDerivAt (fun y => (c y) (u y)) (c' (u x) + c x u') x := by have := (hc.hasStrictFDerivAt.clm_apply hu.hasStrictFDerivAt).hasStrictDerivAt rwa [add_apply, comp_apply, flip_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this #align has_strict_deriv_at.clm_apply HasStrictDerivAt.clm_apply
Mathlib/Analysis/Calculus/Deriv/Mul.lean
487
492
theorem HasDerivWithinAt.clm_apply (hc : HasDerivWithinAt c c' s x) (hu : HasDerivWithinAt u u' s x) : HasDerivWithinAt (fun y => (c y) (u y)) (c' (u x) + c x u') s x := by
have := (hc.hasFDerivWithinAt.clm_apply hu.hasFDerivWithinAt).hasDerivWithinAt rwa [add_apply, comp_apply, flip_apply, smulRight_apply, smulRight_apply, one_apply, one_smul, one_smul, add_comm] at this
import Mathlib.Algebra.Lie.Abelian import Mathlib.Algebra.Lie.IdealOperations import Mathlib.Algebra.Lie.Quotient #align_import algebra.lie.normalizer from "leanprover-community/mathlib"@"938fead7abdc0cbbca8eba7a1052865a169dc102" variable {R L M M' : Type*} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M'] [Module R M'] [LieRingModule L M'] [LieModule R L M'] namespace LieSubmodule variable (N : LieSubmodule R L M) {N₁ N₂ : LieSubmodule R L M} def normalizer : LieSubmodule R L M where carrier := {m | ∀ x : L, ⁅x, m⁆ ∈ N} add_mem' hm₁ hm₂ x := by rw [lie_add]; exact N.add_mem' (hm₁ x) (hm₂ x) zero_mem' x := by simp smul_mem' t m hm x := by rw [lie_smul]; exact N.smul_mem' t (hm x) lie_mem {x m} hm y := by rw [leibniz_lie]; exact N.add_mem' (hm ⁅y, x⁆) (N.lie_mem (hm y)) #align lie_submodule.normalizer LieSubmodule.normalizer @[simp] theorem mem_normalizer (m : M) : m ∈ N.normalizer ↔ ∀ x : L, ⁅x, m⁆ ∈ N := Iff.rfl #align lie_submodule.mem_normalizer LieSubmodule.mem_normalizer @[simp] theorem le_normalizer : N ≤ N.normalizer := by intro m hm rw [mem_normalizer] exact fun x => N.lie_mem hm #align lie_submodule.le_normalizer LieSubmodule.le_normalizer theorem normalizer_inf : (N₁ ⊓ N₂).normalizer = N₁.normalizer ⊓ N₂.normalizer := by ext; simp [← forall_and] #align lie_submodule.normalizer_inf LieSubmodule.normalizer_inf @[mono]
Mathlib/Algebra/Lie/Normalizer.lean
75
78
theorem monotone_normalizer : Monotone (normalizer : LieSubmodule R L M → LieSubmodule R L M) := by
intro N₁ N₂ h m hm rw [mem_normalizer] at hm ⊢ exact fun x => h (hm x)
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]
Mathlib/Order/Filter/Pi.lean
138
139
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]
import Mathlib.RingTheory.DedekindDomain.Ideal #align_import number_theory.ramification_inertia from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f" namespace Ideal universe u v variable {R : Type u} [CommRing R] variable {S : Type v} [CommRing S] (f : R →+* S) variable (p : Ideal R) (P : Ideal S) open FiniteDimensional open UniqueFactorizationMonoid section DecEq open scoped Classical noncomputable def ramificationIdx : ℕ := sSup {n | map f p ≤ P ^ n} #align ideal.ramification_idx Ideal.ramificationIdx variable {f p P} theorem ramificationIdx_eq_find (h : ∃ n, ∀ k, map f p ≤ P ^ k → k ≤ n) : ramificationIdx f p P = Nat.find h := Nat.sSup_def h #align ideal.ramification_idx_eq_find Ideal.ramificationIdx_eq_find theorem ramificationIdx_eq_zero (h : ∀ n : ℕ, ∃ k, map f p ≤ P ^ k ∧ n < k) : ramificationIdx f p P = 0 := dif_neg (by push_neg; exact h) #align ideal.ramification_idx_eq_zero Ideal.ramificationIdx_eq_zero theorem ramificationIdx_spec {n : ℕ} (hle : map f p ≤ P ^ n) (hgt : ¬map f p ≤ P ^ (n + 1)) : ramificationIdx f p P = n := by let Q : ℕ → Prop := fun m => ∀ k : ℕ, map f p ≤ P ^ k → k ≤ m have : Q n := by intro k hk refine le_of_not_lt fun hnk => ?_ exact hgt (hk.trans (Ideal.pow_le_pow_right hnk)) rw [ramificationIdx_eq_find ⟨n, this⟩] refine le_antisymm (Nat.find_min' _ this) (le_of_not_gt fun h : Nat.find _ < n => ?_) obtain this' := Nat.find_spec ⟨n, this⟩ exact h.not_le (this' _ hle) #align ideal.ramification_idx_spec Ideal.ramificationIdx_spec theorem ramificationIdx_lt {n : ℕ} (hgt : ¬map f p ≤ P ^ n) : ramificationIdx f p P < n := by cases' n with n n · simp at hgt · rw [Nat.lt_succ_iff] have : ∀ k, map f p ≤ P ^ k → k ≤ n := by refine fun k hk => le_of_not_lt fun hnk => ?_ exact hgt (hk.trans (Ideal.pow_le_pow_right hnk)) rw [ramificationIdx_eq_find ⟨n, this⟩] exact Nat.find_min' ⟨n, this⟩ this #align ideal.ramification_idx_lt Ideal.ramificationIdx_lt @[simp] theorem ramificationIdx_bot : ramificationIdx f ⊥ P = 0 := dif_neg <| not_exists.mpr fun n hn => n.lt_succ_self.not_le (hn _ (by simp)) #align ideal.ramification_idx_bot Ideal.ramificationIdx_bot @[simp] theorem ramificationIdx_of_not_le (h : ¬map f p ≤ P) : ramificationIdx f p P = 0 := ramificationIdx_spec (by simp) (by simpa using h) #align ideal.ramification_idx_of_not_le Ideal.ramificationIdx_of_not_le theorem ramificationIdx_ne_zero {e : ℕ} (he : e ≠ 0) (hle : map f p ≤ P ^ e) (hnle : ¬map f p ≤ P ^ (e + 1)) : ramificationIdx f p P ≠ 0 := by rwa [ramificationIdx_spec hle hnle] #align ideal.ramification_idx_ne_zero Ideal.ramificationIdx_ne_zero
Mathlib/NumberTheory/RamificationInertia.lean
121
124
theorem le_pow_of_le_ramificationIdx {n : ℕ} (hn : n ≤ ramificationIdx f p P) : map f p ≤ P ^ n := by
contrapose! hn exact ramificationIdx_lt hn
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 cylinder def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) := (fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S @[simp] theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) : f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S := mem_preimage @[simp] theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by rw [cylinder, preimage_empty] @[simp] theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by rw [cylinder, preimage_univ] @[simp] theorem cylinder_eq_empty_iff [h_nonempty : Nonempty (∀ i, α i)] (s : Finset ι) (S : Set (∀ i : s, α i)) : cylinder s S = ∅ ↔ S = ∅ := by refine ⟨fun h ↦ ?_, fun h ↦ by (rw [h]; exact cylinder_empty _)⟩ by_contra hS rw [← Ne, ← nonempty_iff_ne_empty] at hS let f := hS.some have hf : f ∈ S := hS.choose_spec classical let f' : ∀ i, α i := fun i ↦ if hi : i ∈ s then f ⟨i, hi⟩ else h_nonempty.some i have hf' : f' ∈ cylinder s S := by rw [mem_cylinder] simpa only [f', Finset.coe_mem, dif_pos] rw [h] at hf' exact not_mem_empty _ hf' theorem inter_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∩ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∩ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by ext1 f; simp only [mem_inter_iff, mem_cylinder, mem_setOf_eq]; rfl theorem inter_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) : cylinder s S₁ ∩ cylinder s S₂ = cylinder s (S₁ ∩ S₂) := by classical rw [inter_cylinder]; rfl
Mathlib/MeasureTheory/Constructions/Cylinders.lean
197
203
theorem union_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∪ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∪ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by
ext1 f; simp only [mem_union, mem_cylinder, mem_setOf_eq]; rfl
import Mathlib.ModelTheory.ElementaryMaps open FirstOrder namespace FirstOrder namespace Language open Structure variable {L : Language} {M : Type*} {N : Type*} {P : Type*} {Q : Type*} variable [L.Structure M] [L.Structure N] [L.Structure P] [L.Structure Q] def Substructure.IsElementary (S : L.Substructure M) : Prop := ∀ ⦃n⦄ (φ : L.Formula (Fin n)) (x : Fin n → S), φ.Realize (((↑) : _ → M) ∘ x) ↔ φ.Realize x #align first_order.language.substructure.is_elementary FirstOrder.Language.Substructure.IsElementary variable (L M) structure ElementarySubstructure where toSubstructure : L.Substructure M isElementary' : toSubstructure.IsElementary #align first_order.language.elementary_substructure FirstOrder.Language.ElementarySubstructure #align first_order.language.elementary_substructure.to_substructure FirstOrder.Language.ElementarySubstructure.toSubstructure #align first_order.language.elementary_substructure.is_elementary' FirstOrder.Language.ElementarySubstructure.isElementary' variable {L M} namespace ElementarySubstructure attribute [coe] toSubstructure instance instCoe : Coe (L.ElementarySubstructure M) (L.Substructure M) := ⟨ElementarySubstructure.toSubstructure⟩ #align first_order.language.elementary_substructure.first_order.language.substructure.has_coe FirstOrder.Language.ElementarySubstructure.instCoe instance instSetLike : SetLike (L.ElementarySubstructure M) M := ⟨fun x => x.toSubstructure.carrier, fun ⟨⟨s, hs1⟩, hs2⟩ ⟨⟨t, ht1⟩, _⟩ _ => by congr⟩ #align first_order.language.elementary_substructure.set_like FirstOrder.Language.ElementarySubstructure.instSetLike instance inducedStructure (S : L.ElementarySubstructure M) : L.Structure S := Substructure.inducedStructure set_option linter.uppercaseLean3 false in #align first_order.language.elementary_substructure.induced_Structure FirstOrder.Language.ElementarySubstructure.inducedStructure @[simp] theorem isElementary (S : L.ElementarySubstructure M) : (S : L.Substructure M).IsElementary := S.isElementary' #align first_order.language.elementary_substructure.is_elementary FirstOrder.Language.ElementarySubstructure.isElementary def subtype (S : L.ElementarySubstructure M) : S ↪ₑ[L] M where toFun := (↑) map_formula' := S.isElementary #align first_order.language.elementary_substructure.subtype FirstOrder.Language.ElementarySubstructure.subtype @[simp] theorem coeSubtype {S : L.ElementarySubstructure M} : ⇑S.subtype = ((↑) : S → M) := rfl #align first_order.language.elementary_substructure.coe_subtype FirstOrder.Language.ElementarySubstructure.coeSubtype instance instTop : Top (L.ElementarySubstructure M) := ⟨⟨⊤, fun _ _ _ => Substructure.realize_formula_top.symm⟩⟩ #align first_order.language.elementary_substructure.has_top FirstOrder.Language.ElementarySubstructure.instTop instance instInhabited : Inhabited (L.ElementarySubstructure M) := ⟨⊤⟩ #align first_order.language.elementary_substructure.inhabited FirstOrder.Language.ElementarySubstructure.instInhabited @[simp] theorem mem_top (x : M) : x ∈ (⊤ : L.ElementarySubstructure M) := Set.mem_univ x #align first_order.language.elementary_substructure.mem_top FirstOrder.Language.ElementarySubstructure.mem_top @[simp] theorem coe_top : ((⊤ : L.ElementarySubstructure M) : Set M) = Set.univ := rfl #align first_order.language.elementary_substructure.coe_top FirstOrder.Language.ElementarySubstructure.coe_top @[simp] theorem realize_sentence (S : L.ElementarySubstructure M) (φ : L.Sentence) : S ⊨ φ ↔ M ⊨ φ := S.subtype.map_sentence φ #align first_order.language.elementary_substructure.realize_sentence FirstOrder.Language.ElementarySubstructure.realize_sentence @[simp]
Mathlib/ModelTheory/ElementarySubstructures.lean
111
112
theorem theory_model_iff (S : L.ElementarySubstructure M) (T : L.Theory) : S ⊨ T ↔ M ⊨ T := by
simp only [Theory.model_iff, realize_sentence]
import Mathlib.Probability.Kernel.MeasurableIntegral #align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b" open MeasureTheory open scoped ENNReal namespace ProbabilityTheory namespace kernel variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} section CompositionProduct variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)} noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) : ℝ≥0∞ := ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a #align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) : compProdFun κ η a ∅ = 0 := by simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty, MeasureTheory.lintegral_const, zero_mul] #align probability_theory.kernel.comp_prod_fun_empty ProbabilityTheory.kernel.compProdFun_empty theorem compProdFun_iUnion (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (f : ℕ → Set (β × γ)) (hf_meas : ∀ i, MeasurableSet (f i)) (hf_disj : Pairwise (Disjoint on f)) : compProdFun κ η a (⋃ i, f i) = ∑' i, compProdFun κ η a (f i) := by have h_Union : (fun b => η (a, b) {c : γ | (b, c) ∈ ⋃ i, f i}) = fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i}) := by ext1 b congr with c simp only [Set.mem_iUnion, Set.iSup_eq_iUnion, Set.mem_setOf_eq] rw [compProdFun, h_Union] have h_tsum : (fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i})) = fun b => ∑' i, η (a, b) {c : γ | (b, c) ∈ f i} := by ext1 b rw [measure_iUnion] · intro i j hij s hsi hsj c hcs have hbci : {(b, c)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hcs have hbcj : {(b, c)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hcs simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff, Set.mem_empty_iff_false] using hf_disj hij hbci hbcj · -- Porting note: behavior of `@` changed relative to lean 3, was -- exact fun i => (@measurable_prod_mk_left β γ _ _ b) _ (hf_meas i) exact fun i => (@measurable_prod_mk_left β γ _ _ b) (hf_meas i) rw [h_tsum, lintegral_tsum] · rfl · intro i have hm : MeasurableSet {p : (α × β) × γ | (p.1.2, p.2) ∈ f i} := measurable_fst.snd.prod_mk measurable_snd (hf_meas i) exact ((measurable_kernel_prod_mk_left hm).comp measurable_prod_mk_left).aemeasurable #align probability_theory.kernel.comp_prod_fun_Union ProbabilityTheory.kernel.compProdFun_iUnion theorem compProdFun_tsum_right (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) : compProdFun κ η a s = ∑' n, compProdFun κ (seq η n) a s := by simp_rw [compProdFun, (measure_sum_seq η _).symm] have : ∫⁻ b, Measure.sum (fun n => seq η n (a, b)) {c : γ | (b, c) ∈ s} ∂κ a = ∫⁻ b, ∑' n, seq η n (a, b) {c : γ | (b, c) ∈ s} ∂κ a := by congr ext1 b rw [Measure.sum_apply] exact measurable_prod_mk_left hs rw [this, lintegral_tsum] exact fun n => ((measurable_kernel_prod_mk_left (κ := (seq η n)) ((measurable_fst.snd.prod_mk measurable_snd) hs)).comp measurable_prod_mk_left).aemeasurable #align probability_theory.kernel.comp_prod_fun_tsum_right ProbabilityTheory.kernel.compProdFun_tsum_right theorem compProdFun_tsum_left (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel κ] (a : α) (s : Set (β × γ)) : compProdFun κ η a s = ∑' n, compProdFun (seq κ n) η a s := by simp_rw [compProdFun, (measure_sum_seq κ _).symm, lintegral_sum_measure] #align probability_theory.kernel.comp_prod_fun_tsum_left ProbabilityTheory.kernel.compProdFun_tsum_left theorem compProdFun_eq_tsum (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) : compProdFun κ η a s = ∑' (n) (m), compProdFun (seq κ n) (seq η m) a s := by simp_rw [compProdFun_tsum_left κ η a s, compProdFun_tsum_right _ η a hs] #align probability_theory.kernel.comp_prod_fun_eq_tsum ProbabilityTheory.kernel.compProdFun_eq_tsum
Mathlib/Probability/Kernel/Composition.lean
158
169
theorem measurable_compProdFun_of_finite (κ : kernel α β) [IsFiniteKernel κ] (η : kernel (α × β) γ) [IsFiniteKernel η] (hs : MeasurableSet s) : Measurable fun a => compProdFun κ η a s := by
simp only [compProdFun] have h_meas : Measurable (Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) := by have : (Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) = fun p => η p {c : γ | (p.2, c) ∈ s} := by ext1 p rw [Function.uncurry_apply_pair] rw [this] exact measurable_kernel_prod_mk_left (measurable_fst.snd.prod_mk measurable_snd hs) exact h_meas.lintegral_kernel_prod_right
import Mathlib.Init.Data.Sigma.Lex import Mathlib.Data.Prod.Lex import Mathlib.Data.Sigma.Lex import Mathlib.Order.Antichain import Mathlib.Order.OrderIsoNat import Mathlib.Order.WellFounded import Mathlib.Tactic.TFAE #align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592" variable {ι α β γ : Type*} {π : ι → Type*} namespace Set def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop := WellFounded fun a b : s => r a b #align set.well_founded_on Set.WellFoundedOn @[simp] theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r := wellFounded_of_isEmpty _ #align set.well_founded_on_empty Set.wellFoundedOn_empty def PartiallyWellOrderedOn (s : Set α) (r : α → α → Prop) : Prop := ∀ f : ℕ → α, (∀ n, f n ∈ s) → ∃ m n : ℕ, m < n ∧ r (f m) (f n) #align set.partially_well_ordered_on Set.PartiallyWellOrderedOn section PartiallyWellOrderedOn variable {r : α → α → Prop} {r' : β → β → Prop} {f : α → β} {s : Set α} {t : Set α} {a : α} theorem PartiallyWellOrderedOn.mono (ht : t.PartiallyWellOrderedOn r) (h : s ⊆ t) : s.PartiallyWellOrderedOn r := fun f hf => ht f fun n => h <| hf n #align set.partially_well_ordered_on.mono Set.PartiallyWellOrderedOn.mono @[simp] theorem partiallyWellOrderedOn_empty (r : α → α → Prop) : PartiallyWellOrderedOn ∅ r := fun _ h => (h 0).elim #align set.partially_well_ordered_on_empty Set.partiallyWellOrderedOn_empty
Mathlib/Order/WellFoundedSet.lean
286
293
theorem PartiallyWellOrderedOn.union (hs : s.PartiallyWellOrderedOn r) (ht : t.PartiallyWellOrderedOn r) : (s ∪ t).PartiallyWellOrderedOn r := by
rintro f hf rcases Nat.exists_subseq_of_forall_mem_union f hf with ⟨g, hgs | hgt⟩ · rcases hs _ hgs with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ · rcases ht _ hgt with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩
import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.inner_product_space.euclidean_dist from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" open scoped Topology open Set variable {E : Type*} [AddCommGroup E] [TopologicalSpace E] [TopologicalAddGroup E] [T2Space E] [Module ℝ E] [ContinuousSMul ℝ E] [FiniteDimensional ℝ E] noncomputable section open FiniteDimensional def toEuclidean : E ≃L[ℝ] EuclideanSpace ℝ (Fin <| finrank ℝ E) := ContinuousLinearEquiv.ofFinrankEq finrank_euclideanSpace_fin.symm #align to_euclidean toEuclidean namespace Euclidean nonrec def dist (x y : E) : ℝ := dist (toEuclidean x) (toEuclidean y) #align euclidean.dist Euclidean.dist def closedBall (x : E) (r : ℝ) : Set E := {y | dist y x ≤ r} #align euclidean.closed_ball Euclidean.closedBall def ball (x : E) (r : ℝ) : Set E := {y | dist y x < r} #align euclidean.ball Euclidean.ball theorem ball_eq_preimage (x : E) (r : ℝ) : ball x r = toEuclidean ⁻¹' Metric.ball (toEuclidean x) r := rfl #align euclidean.ball_eq_preimage Euclidean.ball_eq_preimage theorem closedBall_eq_preimage (x : E) (r : ℝ) : closedBall x r = toEuclidean ⁻¹' Metric.closedBall (toEuclidean x) r := rfl #align euclidean.closed_ball_eq_preimage Euclidean.closedBall_eq_preimage theorem ball_subset_closedBall {x : E} {r : ℝ} : ball x r ⊆ closedBall x r := fun _ (hy : _ < r) => le_of_lt hy #align euclidean.ball_subset_closed_ball Euclidean.ball_subset_closedBall theorem isOpen_ball {x : E} {r : ℝ} : IsOpen (ball x r) := Metric.isOpen_ball.preimage toEuclidean.continuous #align euclidean.is_open_ball Euclidean.isOpen_ball theorem mem_ball_self {x : E} {r : ℝ} (hr : 0 < r) : x ∈ ball x r := Metric.mem_ball_self hr #align euclidean.mem_ball_self Euclidean.mem_ball_self
Mathlib/Analysis/InnerProductSpace/EuclideanDist.lean
82
84
theorem closedBall_eq_image (x : E) (r : ℝ) : closedBall x r = toEuclidean.symm '' Metric.closedBall (toEuclidean x) r := by
rw [toEuclidean.image_symm_eq_preimage, closedBall_eq_preimage]
import Mathlib.SetTheory.Ordinal.Arithmetic import Mathlib.SetTheory.Ordinal.Exponential #align_import set_theory.ordinal.fixed_point from "leanprover-community/mathlib"@"0dd4319a17376eda5763cd0a7e0d35bbaaa50e83" noncomputable section universe u v open Function Order namespace Ordinal section variable {ι : Type u} {f : ι → Ordinal.{max u v} → Ordinal.{max u v}} def nfpFamily (f : ι → Ordinal → Ordinal) (a : Ordinal) : Ordinal := sup (List.foldr f a) #align ordinal.nfp_family Ordinal.nfpFamily theorem nfpFamily_eq_sup (f : ι → Ordinal.{max u v} → Ordinal.{max u v}) (a : Ordinal.{max u v}) : nfpFamily.{u, v} f a = sup.{u, v} (List.foldr f a) := rfl #align ordinal.nfp_family_eq_sup Ordinal.nfpFamily_eq_sup theorem foldr_le_nfpFamily (f : ι → Ordinal → Ordinal) (a l) : List.foldr f a l ≤ nfpFamily.{u, v} f a := le_sup.{u, v} _ _ #align ordinal.foldr_le_nfp_family Ordinal.foldr_le_nfpFamily theorem le_nfpFamily (f : ι → Ordinal → Ordinal) (a) : a ≤ nfpFamily f a := le_sup _ [] #align ordinal.le_nfp_family Ordinal.le_nfpFamily theorem lt_nfpFamily {a b} : a < nfpFamily.{u, v} f b ↔ ∃ l, a < List.foldr f b l := lt_sup.{u, v} #align ordinal.lt_nfp_family Ordinal.lt_nfpFamily theorem nfpFamily_le_iff {a b} : nfpFamily.{u, v} f a ≤ b ↔ ∀ l, List.foldr f a l ≤ b := sup_le_iff #align ordinal.nfp_family_le_iff Ordinal.nfpFamily_le_iff theorem nfpFamily_le {a b} : (∀ l, List.foldr f a l ≤ b) → nfpFamily.{u, v} f a ≤ b := sup_le.{u, v} #align ordinal.nfp_family_le Ordinal.nfpFamily_le theorem nfpFamily_monotone (hf : ∀ i, Monotone (f i)) : Monotone (nfpFamily.{u, v} f) := fun _ _ h => sup_le.{u, v} fun l => (List.foldr_monotone hf l h).trans (le_sup.{u, v} _ l) #align ordinal.nfp_family_monotone Ordinal.nfpFamily_monotone theorem apply_lt_nfpFamily (H : ∀ i, IsNormal (f i)) {a b} (hb : b < nfpFamily.{u, v} f a) (i) : f i b < nfpFamily.{u, v} f a := let ⟨l, hl⟩ := lt_nfpFamily.1 hb lt_sup.2 ⟨i::l, (H i).strictMono hl⟩ #align ordinal.apply_lt_nfp_family Ordinal.apply_lt_nfpFamily theorem apply_lt_nfpFamily_iff [Nonempty ι] (H : ∀ i, IsNormal (f i)) {a b} : (∀ i, f i b < nfpFamily.{u, v} f a) ↔ b < nfpFamily.{u, v} f a := ⟨fun h => lt_nfpFamily.2 <| let ⟨l, hl⟩ := lt_sup.1 <| h <| Classical.arbitrary ι ⟨l, ((H _).self_le b).trans_lt hl⟩, apply_lt_nfpFamily H⟩ #align ordinal.apply_lt_nfp_family_iff Ordinal.apply_lt_nfpFamily_iff theorem nfpFamily_le_apply [Nonempty ι] (H : ∀ i, IsNormal (f i)) {a b} : (∃ i, nfpFamily.{u, v} f a ≤ f i b) ↔ nfpFamily.{u, v} f a ≤ b := by rw [← not_iff_not] push_neg exact apply_lt_nfpFamily_iff H #align ordinal.nfp_family_le_apply Ordinal.nfpFamily_le_apply theorem nfpFamily_le_fp (H : ∀ i, Monotone (f i)) {a b} (ab : a ≤ b) (h : ∀ i, f i b ≤ b) : nfpFamily.{u, v} f a ≤ b := sup_le fun l => by by_cases hι : IsEmpty ι · rwa [Unique.eq_default l] · induction' l with i l IH generalizing a · exact ab exact (H i (IH ab)).trans (h i) #align ordinal.nfp_family_le_fp Ordinal.nfpFamily_le_fp theorem nfpFamily_fp {i} (H : IsNormal (f i)) (a) : f i (nfpFamily.{u, v} f a) = nfpFamily.{u, v} f a := by unfold nfpFamily rw [@IsNormal.sup.{u, v, v} _ H _ _ ⟨[]⟩] apply le_antisymm <;> refine Ordinal.sup_le fun l => ?_ · exact le_sup _ (i::l) · exact (H.self_le _).trans (le_sup _ _) #align ordinal.nfp_family_fp Ordinal.nfpFamily_fp theorem apply_le_nfpFamily [hι : Nonempty ι] {f : ι → Ordinal → Ordinal} (H : ∀ i, IsNormal (f i)) {a b} : (∀ i, f i b ≤ nfpFamily.{u, v} f a) ↔ b ≤ nfpFamily.{u, v} f a := by refine ⟨fun h => ?_, fun h i => ?_⟩ · cases' hι with i exact ((H i).self_le b).trans (h i) rw [← nfpFamily_fp (H i)] exact (H i).monotone h #align ordinal.apply_le_nfp_family Ordinal.apply_le_nfpFamily theorem nfpFamily_eq_self {f : ι → Ordinal → Ordinal} {a} (h : ∀ i, f i a = a) : nfpFamily f a = a := le_antisymm (sup_le fun l => by rw [List.foldr_fixed' h l]) <| le_nfpFamily f a #align ordinal.nfp_family_eq_self Ordinal.nfpFamily_eq_self -- Todo: This is actually a special case of the fact the intersection of club sets is a club set. theorem fp_family_unbounded (H : ∀ i, IsNormal (f i)) : (⋂ i, Function.fixedPoints (f i)).Unbounded (· < ·) := fun a => ⟨nfpFamily.{u, v} f a, fun s ⟨i, hi⟩ => by rw [← hi, mem_fixedPoints_iff] exact nfpFamily_fp.{u, v} (H i) a, (le_nfpFamily f a).not_lt⟩ #align ordinal.fp_family_unbounded Ordinal.fp_family_unbounded def derivFamily (f : ι → Ordinal → Ordinal) (o : Ordinal) : Ordinal := limitRecOn o (nfpFamily.{u, v} f 0) (fun _ IH => nfpFamily.{u, v} f (succ IH)) fun a _ => bsup.{max u v, u} a #align ordinal.deriv_family Ordinal.derivFamily @[simp] theorem derivFamily_zero (f : ι → Ordinal → Ordinal) : derivFamily.{u, v} f 0 = nfpFamily.{u, v} f 0 := limitRecOn_zero _ _ _ #align ordinal.deriv_family_zero Ordinal.derivFamily_zero @[simp] theorem derivFamily_succ (f : ι → Ordinal → Ordinal) (o) : derivFamily.{u, v} f (succ o) = nfpFamily.{u, v} f (succ (derivFamily.{u, v} f o)) := limitRecOn_succ _ _ _ _ #align ordinal.deriv_family_succ Ordinal.derivFamily_succ theorem derivFamily_limit (f : ι → Ordinal → Ordinal) {o} : IsLimit o → derivFamily.{u, v} f o = bsup.{max u v, u} o fun a _ => derivFamily.{u, v} f a := limitRecOn_limit _ _ _ _ #align ordinal.deriv_family_limit Ordinal.derivFamily_limit theorem derivFamily_isNormal (f : ι → Ordinal → Ordinal) : IsNormal (derivFamily f) := ⟨fun o => by rw [derivFamily_succ, ← succ_le_iff]; apply le_nfpFamily, fun o l a => by rw [derivFamily_limit _ l, bsup_le_iff]⟩ #align ordinal.deriv_family_is_normal Ordinal.derivFamily_isNormal theorem derivFamily_fp {i} (H : IsNormal (f i)) (o : Ordinal.{max u v}) : f i (derivFamily.{u, v} f o) = derivFamily.{u, v} f o := by induction' o using limitRecOn with o _ o l IH · rw [derivFamily_zero] exact nfpFamily_fp H 0 · rw [derivFamily_succ] exact nfpFamily_fp H _ · rw [derivFamily_limit _ l, IsNormal.bsup.{max u v, u, max u v} H (fun a _ => derivFamily f a) l.1] refine eq_of_forall_ge_iff fun c => ?_ simp (config := { contextual := true }) only [bsup_le_iff, IH] #align ordinal.deriv_family_fp Ordinal.derivFamily_fp theorem le_iff_derivFamily (H : ∀ i, IsNormal (f i)) {a} : (∀ i, f i a ≤ a) ↔ ∃ o, derivFamily.{u, v} f o = a := ⟨fun ha => by suffices ∀ (o) (_ : a ≤ derivFamily.{u, v} f o), ∃ o, derivFamily.{u, v} f o = a from this a ((derivFamily_isNormal _).self_le _) intro o induction' o using limitRecOn with o IH o l IH · intro h₁ refine ⟨0, le_antisymm ?_ h₁⟩ rw [derivFamily_zero] exact nfpFamily_le_fp (fun i => (H i).monotone) (Ordinal.zero_le _) ha · intro h₁ rcases le_or_lt a (derivFamily.{u, v} f o) with h | h · exact IH h refine ⟨succ o, le_antisymm ?_ h₁⟩ rw [derivFamily_succ] exact nfpFamily_le_fp (fun i => (H i).monotone) (succ_le_of_lt h) ha · intro h₁ cases' eq_or_lt_of_le h₁ with h h · exact ⟨_, h.symm⟩ rw [derivFamily_limit _ l, ← not_le, bsup_le_iff, not_forall₂] at h exact let ⟨o', h, hl⟩ := h IH o' h (le_of_not_le hl), fun ⟨o, e⟩ i => e ▸ (derivFamily_fp (H i) _).le⟩ #align ordinal.le_iff_deriv_family Ordinal.le_iff_derivFamily theorem fp_iff_derivFamily (H : ∀ i, IsNormal (f i)) {a} : (∀ i, f i a = a) ↔ ∃ o, derivFamily.{u, v} f o = a := Iff.trans ⟨fun h i => le_of_eq (h i), fun h i => (H i).le_iff_eq.1 (h i)⟩ (le_iff_derivFamily H) #align ordinal.fp_iff_deriv_family Ordinal.fp_iff_derivFamily theorem derivFamily_eq_enumOrd (H : ∀ i, IsNormal (f i)) : derivFamily.{u, v} f = enumOrd (⋂ i, Function.fixedPoints (f i)) := by rw [← eq_enumOrd _ (fp_family_unbounded.{u, v} H)] use (derivFamily_isNormal f).strictMono rw [Set.range_eq_iff] refine ⟨?_, fun a ha => ?_⟩ · rintro a S ⟨i, hi⟩ rw [← hi] exact derivFamily_fp (H i) a rw [Set.mem_iInter] at ha rwa [← fp_iff_derivFamily H] #align ordinal.deriv_family_eq_enum_ord Ordinal.derivFamily_eq_enumOrd end section variable {o : Ordinal.{u}} {f : ∀ b < o, Ordinal.{max u v} → Ordinal.{max u v}} def nfpBFamily (o : Ordinal) (f : ∀ b < o, Ordinal → Ordinal) : Ordinal → Ordinal := nfpFamily (familyOfBFamily o f) #align ordinal.nfp_bfamily Ordinal.nfpBFamily theorem nfpBFamily_eq_nfpFamily {o : Ordinal} (f : ∀ b < o, Ordinal → Ordinal) : nfpBFamily.{u, v} o f = nfpFamily.{u, v} (familyOfBFamily o f) := rfl #align ordinal.nfp_bfamily_eq_nfp_family Ordinal.nfpBFamily_eq_nfpFamily theorem foldr_le_nfpBFamily {o : Ordinal} (f : ∀ b < o, Ordinal → Ordinal) (a l) : List.foldr (familyOfBFamily o f) a l ≤ nfpBFamily.{u, v} o f a := le_sup.{u, v} _ _ #align ordinal.foldr_le_nfp_bfamily Ordinal.foldr_le_nfpBFamily theorem le_nfpBFamily {o : Ordinal} (f : ∀ b < o, Ordinal → Ordinal) (a) : a ≤ nfpBFamily.{u, v} o f a := le_sup.{u, v} _ [] #align ordinal.le_nfp_bfamily Ordinal.le_nfpBFamily theorem lt_nfpBFamily {a b} : a < nfpBFamily.{u, v} o f b ↔ ∃ l, a < List.foldr (familyOfBFamily o f) b l := lt_sup.{u, v} #align ordinal.lt_nfp_bfamily Ordinal.lt_nfpBFamily theorem nfpBFamily_le_iff {o : Ordinal} {f : ∀ b < o, Ordinal → Ordinal} {a b} : nfpBFamily.{u, v} o f a ≤ b ↔ ∀ l, List.foldr (familyOfBFamily o f) a l ≤ b := sup_le_iff.{u, v} #align ordinal.nfp_bfamily_le_iff Ordinal.nfpBFamily_le_iff theorem nfpBFamily_le {o : Ordinal} {f : ∀ b < o, Ordinal → Ordinal} {a b} : (∀ l, List.foldr (familyOfBFamily o f) a l ≤ b) → nfpBFamily.{u, v} o f a ≤ b := sup_le.{u, v} #align ordinal.nfp_bfamily_le Ordinal.nfpBFamily_le theorem nfpBFamily_monotone (hf : ∀ i hi, Monotone (f i hi)) : Monotone (nfpBFamily.{u, v} o f) := nfpFamily_monotone fun _ => hf _ _ #align ordinal.nfp_bfamily_monotone Ordinal.nfpBFamily_monotone theorem apply_lt_nfpBFamily (H : ∀ i hi, IsNormal (f i hi)) {a b} (hb : b < nfpBFamily.{u, v} o f a) (i hi) : f i hi b < nfpBFamily.{u, v} o f a := by rw [← familyOfBFamily_enum o f] apply apply_lt_nfpFamily (fun _ => H _ _) hb #align ordinal.apply_lt_nfp_bfamily Ordinal.apply_lt_nfpBFamily theorem apply_lt_nfpBFamily_iff (ho : o ≠ 0) (H : ∀ i hi, IsNormal (f i hi)) {a b} : (∀ i hi, f i hi b < nfpBFamily.{u, v} o f a) ↔ b < nfpBFamily.{u, v} o f a := ⟨fun h => by haveI := out_nonempty_iff_ne_zero.2 ho refine (apply_lt_nfpFamily_iff.{u, v} ?_).1 fun _ => h _ _ exact fun _ => H _ _, apply_lt_nfpBFamily H⟩ #align ordinal.apply_lt_nfp_bfamily_iff Ordinal.apply_lt_nfpBFamily_iff theorem nfpBFamily_le_apply (ho : o ≠ 0) (H : ∀ i hi, IsNormal (f i hi)) {a b} : (∃ i hi, nfpBFamily.{u, v} o f a ≤ f i hi b) ↔ nfpBFamily.{u, v} o f a ≤ b := by rw [← not_iff_not] push_neg exact apply_lt_nfpBFamily_iff.{u, v} ho H #align ordinal.nfp_bfamily_le_apply Ordinal.nfpBFamily_le_apply theorem nfpBFamily_le_fp (H : ∀ i hi, Monotone (f i hi)) {a b} (ab : a ≤ b) (h : ∀ i hi, f i hi b ≤ b) : nfpBFamily.{u, v} o f a ≤ b := nfpFamily_le_fp (fun _ => H _ _) ab fun _ => h _ _ #align ordinal.nfp_bfamily_le_fp Ordinal.nfpBFamily_le_fp theorem nfpBFamily_fp {i hi} (H : IsNormal (f i hi)) (a) : f i hi (nfpBFamily.{u, v} o f a) = nfpBFamily.{u, v} o f a := by rw [← familyOfBFamily_enum o f] apply nfpFamily_fp rw [familyOfBFamily_enum] exact H #align ordinal.nfp_bfamily_fp Ordinal.nfpBFamily_fp theorem apply_le_nfpBFamily (ho : o ≠ 0) (H : ∀ i hi, IsNormal (f i hi)) {a b} : (∀ i hi, f i hi b ≤ nfpBFamily.{u, v} o f a) ↔ b ≤ nfpBFamily.{u, v} o f a := by refine ⟨fun h => ?_, fun h i hi => ?_⟩ · have ho' : 0 < o := Ordinal.pos_iff_ne_zero.2 ho exact ((H 0 ho').self_le b).trans (h 0 ho') · rw [← nfpBFamily_fp (H i hi)] exact (H i hi).monotone h #align ordinal.apply_le_nfp_bfamily Ordinal.apply_le_nfpBFamily theorem nfpBFamily_eq_self {a} (h : ∀ i hi, f i hi a = a) : nfpBFamily.{u, v} o f a = a := nfpFamily_eq_self fun _ => h _ _ #align ordinal.nfp_bfamily_eq_self Ordinal.nfpBFamily_eq_self theorem fp_bfamily_unbounded (H : ∀ i hi, IsNormal (f i hi)) : (⋂ (i) (hi), Function.fixedPoints (f i hi)).Unbounded (· < ·) := fun a => ⟨nfpBFamily.{u, v} _ f a, by rw [Set.mem_iInter₂] exact fun i hi => nfpBFamily_fp (H i hi) _, (le_nfpBFamily f a).not_lt⟩ #align ordinal.fp_bfamily_unbounded Ordinal.fp_bfamily_unbounded def derivBFamily (o : Ordinal) (f : ∀ b < o, Ordinal → Ordinal) : Ordinal → Ordinal := derivFamily (familyOfBFamily o f) #align ordinal.deriv_bfamily Ordinal.derivBFamily theorem derivBFamily_eq_derivFamily {o : Ordinal} (f : ∀ b < o, Ordinal → Ordinal) : derivBFamily.{u, v} o f = derivFamily.{u, v} (familyOfBFamily o f) := rfl #align ordinal.deriv_bfamily_eq_deriv_family Ordinal.derivBFamily_eq_derivFamily theorem derivBFamily_isNormal {o : Ordinal} (f : ∀ b < o, Ordinal → Ordinal) : IsNormal (derivBFamily o f) := derivFamily_isNormal _ #align ordinal.deriv_bfamily_is_normal Ordinal.derivBFamily_isNormal theorem derivBFamily_fp {i hi} (H : IsNormal (f i hi)) (a : Ordinal) : f i hi (derivBFamily.{u, v} o f a) = derivBFamily.{u, v} o f a := by rw [← familyOfBFamily_enum o f] apply derivFamily_fp rw [familyOfBFamily_enum] exact H #align ordinal.deriv_bfamily_fp Ordinal.derivBFamily_fp theorem le_iff_derivBFamily (H : ∀ i hi, IsNormal (f i hi)) {a} : (∀ i hi, f i hi a ≤ a) ↔ ∃ b, derivBFamily.{u, v} o f b = a := by unfold derivBFamily rw [← le_iff_derivFamily] · refine ⟨fun h i => h _ _, fun h i hi => ?_⟩ rw [← familyOfBFamily_enum o f] apply h · exact fun _ => H _ _ #align ordinal.le_iff_deriv_bfamily Ordinal.le_iff_derivBFamily theorem fp_iff_derivBFamily (H : ∀ i hi, IsNormal (f i hi)) {a} : (∀ i hi, f i hi a = a) ↔ ∃ b, derivBFamily.{u, v} o f b = a := by rw [← le_iff_derivBFamily H] refine ⟨fun h i hi => le_of_eq (h i hi), fun h i hi => ?_⟩ rw [← (H i hi).le_iff_eq] exact h i hi #align ordinal.fp_iff_deriv_bfamily Ordinal.fp_iff_derivBFamily theorem derivBFamily_eq_enumOrd (H : ∀ i hi, IsNormal (f i hi)) : derivBFamily.{u, v} o f = enumOrd (⋂ (i) (hi), Function.fixedPoints (f i hi)) := by rw [← eq_enumOrd _ (fp_bfamily_unbounded.{u, v} H)] use (derivBFamily_isNormal f).strictMono rw [Set.range_eq_iff] refine ⟨fun a => Set.mem_iInter₂.2 fun i hi => derivBFamily_fp (H i hi) a, fun a ha => ?_⟩ rw [Set.mem_iInter₂] at ha rwa [← fp_iff_derivBFamily H] #align ordinal.deriv_bfamily_eq_enum_ord Ordinal.derivBFamily_eq_enumOrd end section variable {f : Ordinal.{u} → Ordinal.{u}} def nfp (f : Ordinal → Ordinal) : Ordinal → Ordinal := nfpFamily fun _ : Unit => f #align ordinal.nfp Ordinal.nfp theorem nfp_eq_nfpFamily (f : Ordinal → Ordinal) : nfp f = nfpFamily fun _ : Unit => f := rfl #align ordinal.nfp_eq_nfp_family Ordinal.nfp_eq_nfpFamily @[simp] theorem sup_iterate_eq_nfp (f : Ordinal.{u} → Ordinal.{u}) : (fun a => sup fun n : ℕ => f^[n] a) = nfp f := by refine funext fun a => le_antisymm ?_ (sup_le fun l => ?_) · rw [sup_le_iff] intro n rw [← List.length_replicate n Unit.unit, ← List.foldr_const f a] apply le_sup · rw [List.foldr_const f a l] exact le_sup _ _ #align ordinal.sup_iterate_eq_nfp Ordinal.sup_iterate_eq_nfp theorem iterate_le_nfp (f a n) : f^[n] a ≤ nfp f a := by rw [← sup_iterate_eq_nfp] exact le_sup _ n #align ordinal.iterate_le_nfp Ordinal.iterate_le_nfp theorem le_nfp (f a) : a ≤ nfp f a := iterate_le_nfp f a 0 #align ordinal.le_nfp Ordinal.le_nfp theorem lt_nfp {a b} : a < nfp f b ↔ ∃ n, a < f^[n] b := by rw [← sup_iterate_eq_nfp] exact lt_sup #align ordinal.lt_nfp Ordinal.lt_nfp theorem nfp_le_iff {a b} : nfp f a ≤ b ↔ ∀ n, f^[n] a ≤ b := by rw [← sup_iterate_eq_nfp] exact sup_le_iff #align ordinal.nfp_le_iff Ordinal.nfp_le_iff theorem nfp_le {a b} : (∀ n, f^[n] a ≤ b) → nfp f a ≤ b := nfp_le_iff.2 #align ordinal.nfp_le Ordinal.nfp_le @[simp] theorem nfp_id : nfp id = id := funext fun a => by simp_rw [← sup_iterate_eq_nfp, iterate_id] exact sup_const a #align ordinal.nfp_id Ordinal.nfp_id theorem nfp_monotone (hf : Monotone f) : Monotone (nfp f) := nfpFamily_monotone fun _ => hf #align ordinal.nfp_monotone Ordinal.nfp_monotone theorem IsNormal.apply_lt_nfp {f} (H : IsNormal f) {a b} : f b < nfp f a ↔ b < nfp f a := by unfold nfp rw [← @apply_lt_nfpFamily_iff Unit (fun _ => f) _ (fun _ => H) a b] exact ⟨fun h _ => h, fun h => h Unit.unit⟩ #align ordinal.is_normal.apply_lt_nfp Ordinal.IsNormal.apply_lt_nfp theorem IsNormal.nfp_le_apply {f} (H : IsNormal f) {a b} : nfp f a ≤ f b ↔ nfp f a ≤ b := le_iff_le_iff_lt_iff_lt.2 H.apply_lt_nfp #align ordinal.is_normal.nfp_le_apply Ordinal.IsNormal.nfp_le_apply theorem nfp_le_fp {f} (H : Monotone f) {a b} (ab : a ≤ b) (h : f b ≤ b) : nfp f a ≤ b := nfpFamily_le_fp (fun _ => H) ab fun _ => h #align ordinal.nfp_le_fp Ordinal.nfp_le_fp theorem IsNormal.nfp_fp {f} (H : IsNormal f) : ∀ a, f (nfp f a) = nfp f a := @nfpFamily_fp Unit (fun _ => f) Unit.unit H #align ordinal.is_normal.nfp_fp Ordinal.IsNormal.nfp_fp theorem IsNormal.apply_le_nfp {f} (H : IsNormal f) {a b} : f b ≤ nfp f a ↔ b ≤ nfp f a := ⟨le_trans (H.self_le _), fun h => by simpa only [H.nfp_fp] using H.le_iff.2 h⟩ #align ordinal.is_normal.apply_le_nfp Ordinal.IsNormal.apply_le_nfp theorem nfp_eq_self {f : Ordinal → Ordinal} {a} (h : f a = a) : nfp f a = a := nfpFamily_eq_self fun _ => h #align ordinal.nfp_eq_self Ordinal.nfp_eq_self theorem fp_unbounded (H : IsNormal f) : (Function.fixedPoints f).Unbounded (· < ·) := by convert fp_family_unbounded fun _ : Unit => H exact (Set.iInter_const _).symm #align ordinal.fp_unbounded Ordinal.fp_unbounded def deriv (f : Ordinal → Ordinal) : Ordinal → Ordinal := derivFamily fun _ : Unit => f #align ordinal.deriv Ordinal.deriv theorem deriv_eq_derivFamily (f : Ordinal → Ordinal) : deriv f = derivFamily fun _ : Unit => f := rfl #align ordinal.deriv_eq_deriv_family Ordinal.deriv_eq_derivFamily @[simp] theorem deriv_zero (f) : deriv f 0 = nfp f 0 := derivFamily_zero _ #align ordinal.deriv_zero Ordinal.deriv_zero @[simp] theorem deriv_succ (f o) : deriv f (succ o) = nfp f (succ (deriv f o)) := derivFamily_succ _ _ #align ordinal.deriv_succ Ordinal.deriv_succ theorem deriv_limit (f) {o} : IsLimit o → deriv f o = bsup.{u, 0} o fun a _ => deriv f a := derivFamily_limit _ #align ordinal.deriv_limit Ordinal.deriv_limit theorem deriv_isNormal (f) : IsNormal (deriv f) := derivFamily_isNormal _ #align ordinal.deriv_is_normal Ordinal.deriv_isNormal theorem deriv_id_of_nfp_id {f : Ordinal → Ordinal} (h : nfp f = id) : deriv f = id := ((deriv_isNormal _).eq_iff_zero_and_succ IsNormal.refl).2 (by simp [h]) #align ordinal.deriv_id_of_nfp_id Ordinal.deriv_id_of_nfp_id theorem IsNormal.deriv_fp {f} (H : IsNormal f) : ∀ o, f (deriv f o) = deriv f o := @derivFamily_fp Unit (fun _ => f) Unit.unit H #align ordinal.is_normal.deriv_fp Ordinal.IsNormal.deriv_fp theorem IsNormal.le_iff_deriv {f} (H : IsNormal f) {a} : f a ≤ a ↔ ∃ o, deriv f o = a := by unfold deriv rw [← le_iff_derivFamily fun _ : Unit => H] exact ⟨fun h _ => h, fun h => h Unit.unit⟩ #align ordinal.is_normal.le_iff_deriv Ordinal.IsNormal.le_iff_deriv
Mathlib/SetTheory/Ordinal/FixedPoint.lean
545
546
theorem IsNormal.fp_iff_deriv {f} (H : IsNormal f) {a} : f a = a ↔ ∃ o, deriv f o = a := by
rw [← H.le_iff_eq, H.le_iff_deriv]
import Batteries.Data.List.Count import Batteries.Data.Fin.Lemmas open Nat Function namespace List theorem rel_of_pairwise_cons (p : (a :: l).Pairwise R) : ∀ {a'}, a' ∈ l → R a a' := (pairwise_cons.1 p).1 _ theorem Pairwise.of_cons (p : (a :: l).Pairwise R) : Pairwise R l := (pairwise_cons.1 p).2 theorem Pairwise.tail : ∀ {l : List α} (_p : Pairwise R l), Pairwise R l.tail | [], h => h | _ :: _, h => h.of_cons theorem Pairwise.drop : ∀ {l : List α} {n : Nat}, List.Pairwise R l → List.Pairwise R (l.drop n) | _, 0, h => h | [], _ + 1, _ => List.Pairwise.nil | _ :: _, n + 1, h => Pairwise.drop (n := n) (pairwise_cons.mp h).right theorem Pairwise.imp_of_mem {S : α → α → Prop} (H : ∀ {a b}, a ∈ l → b ∈ l → R a b → S a b) (p : Pairwise R l) : Pairwise S l := by induction p with | nil => constructor | @cons a l r _ ih => constructor · exact fun x h => H (mem_cons_self ..) (mem_cons_of_mem _ h) <| r x h · exact ih fun m m' => H (mem_cons_of_mem _ m) (mem_cons_of_mem _ m') theorem Pairwise.and (hR : Pairwise R l) (hS : Pairwise S l) : l.Pairwise fun a b => R a b ∧ S a b := by induction hR with | nil => simp only [Pairwise.nil] | cons R1 _ IH => simp only [Pairwise.nil, pairwise_cons] at hS ⊢ exact ⟨fun b bl => ⟨R1 b bl, hS.1 b bl⟩, IH hS.2⟩ theorem pairwise_and_iff : l.Pairwise (fun a b => R a b ∧ S a b) ↔ Pairwise R l ∧ Pairwise S l := ⟨fun h => ⟨h.imp fun h => h.1, h.imp fun h => h.2⟩, fun ⟨hR, hS⟩ => hR.and hS⟩ theorem Pairwise.imp₂ (H : ∀ a b, R a b → S a b → T a b) (hR : Pairwise R l) (hS : l.Pairwise S) : l.Pairwise T := (hR.and hS).imp fun ⟨h₁, h₂⟩ => H _ _ h₁ h₂ theorem Pairwise.iff_of_mem {S : α → α → Prop} {l : List α} (H : ∀ {a b}, a ∈ l → b ∈ l → (R a b ↔ S a b)) : Pairwise R l ↔ Pairwise S l := ⟨Pairwise.imp_of_mem fun m m' => (H m m').1, Pairwise.imp_of_mem fun m m' => (H m m').2⟩ theorem Pairwise.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Pairwise R l ↔ Pairwise S l := Pairwise.iff_of_mem fun _ _ => H ..
.lake/packages/batteries/Batteries/Data/List/Pairwise.lean
80
81
theorem pairwise_of_forall {l : List α} (H : ∀ x y, R x y) : Pairwise R l := by
induction l <;> simp [*]
import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic #align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "J" => o.rightAngleRotation def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V := LinearMap.isometryOfInner (Real.Angle.cos θ • LinearMap.id + Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by intro x y simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply, LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv, Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left, Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left, inner_add_right, inner_smul_right] linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq) #align orientation.rotation_aux Orientation.rotationAux @[simp] theorem rotationAux_apply (θ : Real.Angle) (x : V) : o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_aux_apply Orientation.rotationAux_apply def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V := LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ) (Real.Angle.cos θ • LinearMap.id - Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul, smul_add, smul_neg, smul_sub, mul_comm, sq] abel · simp) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, add_smul, smul_neg, smul_sub, smul_smul] ring_nf abel · simp) #align orientation.rotation Orientation.rotation theorem rotation_apply (θ : Real.Angle) (x : V) : o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_apply Orientation.rotation_apply theorem rotation_symm_apply (θ : Real.Angle) (x : V) : (o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x := rfl #align orientation.rotation_symm_apply Orientation.rotation_symm_apply theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) : (o.rotation θ).toLinearMap = Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx) !![θ.cos, -θ.sin; θ.sin, θ.cos] := by apply (o.basisRightAngleRotation x hx).ext intro i fin_cases i · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ] · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ, add_comm] #align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin @[simp] theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) rw [o.rotation_eq_matrix_toLin θ hx] simpa [sq] using θ.cos_sq_add_sin_sq #align orientation.det_rotation Orientation.det_rotation @[simp] theorem linearEquiv_det_rotation (θ : Real.Angle) : LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 := Units.ext <| by -- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite -- in mathlib3 this was just `units.ext <| o.det_rotation θ` simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ #align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation @[simp] theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg] #align orientation.rotation_symm Orientation.rotation_symm @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean
140
140
theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by
ext; simp [rotation]
import Mathlib.Topology.Compactness.SigmaCompact import Mathlib.Topology.Connected.TotallyDisconnected import Mathlib.Topology.Inseparable #align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d" open Function Set Filter Topology TopologicalSpace open scoped Classical universe u v variable {X : Type*} {Y : Type*} [TopologicalSpace X] section Separation def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X => ∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V #align separated_nhds SeparatedNhds theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ← exists_and_left, and_assoc, and_comm, and_left_comm] #align separated_nhds_iff_disjoint separatedNhds_iff_disjoint alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint class T0Space (X : Type u) [TopologicalSpace X] : Prop where t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y #align t0_space T0Space theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] : T0Space X ↔ ∀ x y : X, Inseparable x y → x = y := ⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩ #align t0_space_iff_inseparable t0Space_iff_inseparable theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] : T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise] #align t0_space_iff_not_inseparable t0Space_iff_not_inseparable theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y := T0Space.t0 h #align inseparable.eq Inseparable.eq protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y} (hf : Inducing f) : Injective f := fun _ _ h => (hf.inseparable_iff.1 <| .of_eq h).eq #align inducing.injective Inducing.injective protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y} (hf : Inducing f) : Embedding f := ⟨hf, hf.injective⟩ #align inducing.embedding Inducing.embedding lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} : Embedding f ↔ Inducing f := ⟨Embedding.toInducing, Inducing.embedding⟩ #align embedding_iff_inducing embedding_iff_inducing theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] : T0Space X ↔ Injective (𝓝 : X → Filter X) := t0Space_iff_inseparable X #align t0_space_iff_nhds_injective t0Space_iff_nhds_injective theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) := (t0Space_iff_nhds_injective X).1 ‹_› #align nhds_injective nhds_injective theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y := nhds_injective.eq_iff #align inseparable_iff_eq inseparable_iff_eq @[simp] theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b := nhds_injective.eq_iff #align nhds_eq_nhds_iff nhds_eq_nhds_iff @[simp] theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X := funext₂ fun _ _ => propext inseparable_iff_eq #align inseparable_eq_eq inseparable_eq_eq theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)} (hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) := ⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs), fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by convert hb.nhds_hasBasis using 2 exact and_congr_right (h _)⟩ theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)} (hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) := inseparable_iff_eq.symm.trans hb.inseparable_iff theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] : T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop, inseparable_iff_forall_open, Pairwise] #align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) : ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := (t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h #align exists_is_open_xor_mem exists_isOpen_xor'_mem def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X := { specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with } #align specialization_order specializationOrder instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) := ⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h => SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩ theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by clear Y -- Porting note: added refine fun x hx y hy => of_not_not fun hxy => ?_ rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩ wlog h : x ∈ U ∧ y ∉ U · refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h) cases' h with hxU hyU have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo) exact (this.symm.subset hx).2 hxU #align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s) (hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} := exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩ #align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X} (hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩ exact ⟨x, Vsub (mem_singleton x), Vcls⟩ #align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by clear Y -- Porting note: added refine fun x hx y hy => of_not_not fun hxy => ?_ rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩ wlog h : x ∈ U ∧ y ∉ U · exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h) cases' h with hxU hyU have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo) exact hyU (this.symm.subset hy).2 #align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s) (hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} := exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩ #align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite) (hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by lift s to Finset X using hfin induction' s using Finset.strongInductionOn with s ihs rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht) · rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩ exact ⟨x, hts.1 hxt, hxo⟩ · -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩` -- https://github.com/leanprover/std4/issues/116 rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x} · exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩ refine minimal_nonempty_open_eq_singleton ho hne ?_ refine fun t hts htne hto => of_not_not fun hts' => ht ?_ lift t to Finset X using s.finite_toSet.subset hts exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩ #align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] : ∃ x : X, IsOpen ({x} : Set X) := let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _) univ_nonempty isOpen_univ ⟨x, h⟩ #align exists_open_singleton_of_fintype exists_open_singleton_of_finite theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y} (hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X := ⟨fun _ _ h => hf <| (h.map hf').eq⟩ #align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y} (hf : Embedding f) : T0Space X := t0Space_of_injective_of_continuous hf.inj hf.continuous #align embedding.t0_space Embedding.t0Space instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) := embedding_subtype_val.t0Space #align subtype.t0_space Subtype.t0Space theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] : T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or] #align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) := ⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩ instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, T0Space (X i)] : T0Space (∀ i, X i) := ⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩ #align pi.t0_space Pi.instT0Space instance ULift.instT0Space [T0Space X] : T0Space (ULift X) := embedding_uLift_down.t0Space theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) : T0Space X := by refine ⟨fun x y hxy => ?_⟩ rcases h x y hxy with ⟨s, hxs, hys, hs⟩ lift x to s using hxs; lift y to s using hys rw [← subtype_inseparable_iff] at hxy exact congr_arg Subtype.val hxy.eq #align t0_space.of_cover T0Space.of_cover theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X := T0Space.of_cover fun x _ hxy => let ⟨s, hxs, hso, hs⟩ := h x ⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩ #align t0_space.of_open_cover T0Space.of_open_cover @[mk_iff] class R0Space (X : Type u) [TopologicalSpace X] : Prop where specializes_symmetric : Symmetric (Specializes : X → X → Prop) export R0Space (specializes_symmetric) class T1Space (X : Type u) [TopologicalSpace X] : Prop where t1 : ∀ x, IsClosed ({x} : Set X) #align t1_space T1Space theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) := T1Space.t1 x #align is_closed_singleton isClosed_singleton theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) := isClosed_singleton.isOpen_compl #align is_open_compl_singleton isOpen_compl_singleton theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } := isOpen_compl_singleton #align is_open_ne isOpen_ne @[to_additive] theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X} (hf : Continuous f) : IsOpen (mulSupport f) := isOpen_ne.preimage hf #align continuous.is_open_mul_support Continuous.isOpen_mulSupport #align continuous.is_open_support Continuous.isOpen_support theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x := isOpen_ne.nhdsWithin_eq h #align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) : 𝓝[s \ {y}] x = 𝓝[s] x := by rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem] exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h) #align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by rcases eq_or_ne x y with rfl|hy · exact Eq.le rfl · rw [Ne.nhdsWithin_compl_singleton hy] exact nhdsWithin_le_nhds theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by refine isOpen_iff_mem_nhds.mpr fun a ha => ?_ filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb rcases eq_or_ne a b with rfl | h · exact hb · rw [h.symm.nhdsWithin_compl_singleton] at hb exact hb.filter_mono nhdsWithin_le_nhds #align is_open_set_of_eventually_nhds_within isOpen_setOf_eventually_nhdsWithin protected theorem Set.Finite.isClosed [T1Space X] {s : Set X} (hs : Set.Finite s) : IsClosed s := by rw [← biUnion_of_singleton s] exact hs.isClosed_biUnion fun i _ => isClosed_singleton #align set.finite.is_closed Set.Finite.isClosed theorem TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne [T1Space X] {b : Set (Set X)} (hb : IsTopologicalBasis b) {x y : X} (h : x ≠ y) : ∃ a ∈ b, x ∈ a ∧ y ∉ a := by rcases hb.isOpen_iff.1 isOpen_ne x h with ⟨a, ab, xa, ha⟩ exact ⟨a, ab, xa, fun h => ha h rfl⟩ #align topological_space.is_topological_basis.exists_mem_of_ne TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne protected theorem Finset.isClosed [T1Space X] (s : Finset X) : IsClosed (s : Set X) := s.finite_toSet.isClosed #align finset.is_closed Finset.isClosed theorem t1Space_TFAE (X : Type u) [TopologicalSpace X] : List.TFAE [T1Space X, ∀ x, IsClosed ({ x } : Set X), ∀ x, IsOpen ({ x }ᶜ : Set X), Continuous (@CofiniteTopology.of X), ∀ ⦃x y : X⦄, x ≠ y → {y}ᶜ ∈ 𝓝 x, ∀ ⦃x y : X⦄, x ≠ y → ∃ s ∈ 𝓝 x, y ∉ s, ∀ ⦃x y : X⦄, x ≠ y → ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U, ∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y), ∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y), ∀ ⦃x y : X⦄, x ⤳ y → x = y] := by tfae_have 1 ↔ 2 · exact ⟨fun h => h.1, fun h => ⟨h⟩⟩ tfae_have 2 ↔ 3 · simp only [isOpen_compl_iff] tfae_have 5 ↔ 3 · refine forall_swap.trans ?_ simp only [isOpen_iff_mem_nhds, mem_compl_iff, mem_singleton_iff] tfae_have 5 ↔ 6 · simp only [← subset_compl_singleton_iff, exists_mem_subset_iff] tfae_have 5 ↔ 7 · simp only [(nhds_basis_opens _).mem_iff, subset_compl_singleton_iff, exists_prop, and_assoc, and_left_comm] tfae_have 5 ↔ 8 · simp only [← principal_singleton, disjoint_principal_right] tfae_have 8 ↔ 9 · exact forall_swap.trans (by simp only [disjoint_comm, ne_comm]) tfae_have 1 → 4 · simp only [continuous_def, CofiniteTopology.isOpen_iff'] rintro H s (rfl | hs) exacts [isOpen_empty, compl_compl s ▸ (@Set.Finite.isClosed _ _ H _ hs).isOpen_compl] tfae_have 4 → 2 · exact fun h x => (CofiniteTopology.isClosed_iff.2 <| Or.inr (finite_singleton _)).preimage h tfae_have 2 ↔ 10 · simp only [← closure_subset_iff_isClosed, specializes_iff_mem_closure, subset_def, mem_singleton_iff, eq_comm] tfae_finish #align t1_space_tfae t1Space_TFAE theorem t1Space_iff_continuous_cofinite_of : T1Space X ↔ Continuous (@CofiniteTopology.of X) := (t1Space_TFAE X).out 0 3 #align t1_space_iff_continuous_cofinite_of t1Space_iff_continuous_cofinite_of theorem CofiniteTopology.continuous_of [T1Space X] : Continuous (@CofiniteTopology.of X) := t1Space_iff_continuous_cofinite_of.mp ‹_› #align cofinite_topology.continuous_of CofiniteTopology.continuous_of theorem t1Space_iff_exists_open : T1Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U := (t1Space_TFAE X).out 0 6 #align t1_space_iff_exists_open t1Space_iff_exists_open theorem t1Space_iff_disjoint_pure_nhds : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y) := (t1Space_TFAE X).out 0 8 #align t1_space_iff_disjoint_pure_nhds t1Space_iff_disjoint_pure_nhds theorem t1Space_iff_disjoint_nhds_pure : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y) := (t1Space_TFAE X).out 0 7 #align t1_space_iff_disjoint_nhds_pure t1Space_iff_disjoint_nhds_pure theorem t1Space_iff_specializes_imp_eq : T1Space X ↔ ∀ ⦃x y : X⦄, x ⤳ y → x = y := (t1Space_TFAE X).out 0 9 #align t1_space_iff_specializes_imp_eq t1Space_iff_specializes_imp_eq theorem disjoint_pure_nhds [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (pure x) (𝓝 y) := t1Space_iff_disjoint_pure_nhds.mp ‹_› h #align disjoint_pure_nhds disjoint_pure_nhds theorem disjoint_nhds_pure [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (𝓝 x) (pure y) := t1Space_iff_disjoint_nhds_pure.mp ‹_› h #align disjoint_nhds_pure disjoint_nhds_pure theorem Specializes.eq [T1Space X] {x y : X} (h : x ⤳ y) : x = y := t1Space_iff_specializes_imp_eq.1 ‹_› h #align specializes.eq Specializes.eq theorem specializes_iff_eq [T1Space X] {x y : X} : x ⤳ y ↔ x = y := ⟨Specializes.eq, fun h => h ▸ specializes_rfl⟩ #align specializes_iff_eq specializes_iff_eq @[simp] theorem specializes_eq_eq [T1Space X] : (· ⤳ ·) = @Eq X := funext₂ fun _ _ => propext specializes_iff_eq #align specializes_eq_eq specializes_eq_eq @[simp] theorem pure_le_nhds_iff [T1Space X] {a b : X} : pure a ≤ 𝓝 b ↔ a = b := specializes_iff_pure.symm.trans specializes_iff_eq #align pure_le_nhds_iff pure_le_nhds_iff @[simp] theorem nhds_le_nhds_iff [T1Space X] {a b : X} : 𝓝 a ≤ 𝓝 b ↔ a = b := specializes_iff_eq #align nhds_le_nhds_iff nhds_le_nhds_iff instance (priority := 100) [T1Space X] : R0Space X where specializes_symmetric _ _ := by rw [specializes_iff_eq, specializes_iff_eq]; exact Eq.symm instance : T1Space (CofiniteTopology X) := t1Space_iff_continuous_cofinite_of.mpr continuous_id theorem t1Space_antitone : Antitone (@T1Space X) := fun a _ h _ => @T1Space.mk _ a fun x => (T1Space.t1 x).mono h #align t1_space_antitone t1Space_antitone theorem continuousWithinAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y} {s : Set X} {x x' : X} {y : Y} (hne : x' ≠ x) : ContinuousWithinAt (Function.update f x y) s x' ↔ ContinuousWithinAt f s x' := EventuallyEq.congr_continuousWithinAt (mem_nhdsWithin_of_mem_nhds <| mem_of_superset (isOpen_ne.mem_nhds hne) fun _y' hy' => Function.update_noteq hy' _ _) (Function.update_noteq hne _ _) #align continuous_within_at_update_of_ne continuousWithinAt_update_of_ne theorem continuousAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y} {x x' : X} {y : Y} (hne : x' ≠ x) : ContinuousAt (Function.update f x y) x' ↔ ContinuousAt f x' := by simp only [← continuousWithinAt_univ, continuousWithinAt_update_of_ne hne] #align continuous_at_update_of_ne continuousAt_update_of_ne theorem continuousOn_update_iff [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y} {s : Set X} {x : X} {y : Y} : ContinuousOn (Function.update f x y) s ↔ ContinuousOn f (s \ {x}) ∧ (x ∈ s → Tendsto f (𝓝[s \ {x}] x) (𝓝 y)) := by rw [ContinuousOn, ← and_forall_ne x, and_comm] refine and_congr ⟨fun H z hz => ?_, fun H z hzx hzs => ?_⟩ (forall_congr' fun _ => ?_) · specialize H z hz.2 hz.1 rw [continuousWithinAt_update_of_ne hz.2] at H exact H.mono diff_subset · rw [continuousWithinAt_update_of_ne hzx] refine (H z ⟨hzs, hzx⟩).mono_of_mem (inter_mem_nhdsWithin _ ?_) exact isOpen_ne.mem_nhds hzx · exact continuousWithinAt_update_same #align continuous_on_update_iff continuousOn_update_iff theorem t1Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y} (hf : Function.Injective f) (hf' : Continuous f) [T1Space Y] : T1Space X := t1Space_iff_specializes_imp_eq.2 fun _ _ h => hf (h.map hf').eq #align t1_space_of_injective_of_continuous t1Space_of_injective_of_continuous protected theorem Embedding.t1Space [TopologicalSpace Y] [T1Space Y] {f : X → Y} (hf : Embedding f) : T1Space X := t1Space_of_injective_of_continuous hf.inj hf.continuous #align embedding.t1_space Embedding.t1Space instance Subtype.t1Space {X : Type u} [TopologicalSpace X] [T1Space X] {p : X → Prop} : T1Space (Subtype p) := embedding_subtype_val.t1Space #align subtype.t1_space Subtype.t1Space instance [TopologicalSpace Y] [T1Space X] [T1Space Y] : T1Space (X × Y) := ⟨fun ⟨a, b⟩ => @singleton_prod_singleton _ _ a b ▸ isClosed_singleton.prod isClosed_singleton⟩ instance {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, T1Space (X i)] : T1Space (∀ i, X i) := ⟨fun f => univ_pi_singleton f ▸ isClosed_set_pi fun _ _ => isClosed_singleton⟩ instance ULift.instT1Space [T1Space X] : T1Space (ULift X) := embedding_uLift_down.t1Space -- see Note [lower instance priority] instance (priority := 100) TotallyDisconnectedSpace.t1Space [h: TotallyDisconnectedSpace X] : T1Space X := by rw [((t1Space_TFAE X).out 0 1 :)] intro x rw [← totallyDisconnectedSpace_iff_connectedComponent_singleton.mp h x] exact isClosed_connectedComponent -- see Note [lower instance priority] instance (priority := 100) T1Space.t0Space [T1Space X] : T0Space X := ⟨fun _ _ h => h.specializes.eq⟩ #align t1_space.t0_space T1Space.t0Space @[simp] theorem compl_singleton_mem_nhds_iff [T1Space X] {x y : X} : {x}ᶜ ∈ 𝓝 y ↔ y ≠ x := isOpen_compl_singleton.mem_nhds_iff #align compl_singleton_mem_nhds_iff compl_singleton_mem_nhds_iff theorem compl_singleton_mem_nhds [T1Space X] {x y : X} (h : y ≠ x) : {x}ᶜ ∈ 𝓝 y := compl_singleton_mem_nhds_iff.mpr h #align compl_singleton_mem_nhds compl_singleton_mem_nhds @[simp] theorem closure_singleton [T1Space X] {x : X} : closure ({x} : Set X) = {x} := isClosed_singleton.closure_eq #align closure_singleton closure_singleton -- Porting note (#11215): TODO: the proof was `hs.induction_on (by simp) fun x => by simp` theorem Set.Subsingleton.closure [T1Space X] {s : Set X} (hs : s.Subsingleton) : (closure s).Subsingleton := by rcases hs.eq_empty_or_singleton with (rfl | ⟨x, rfl⟩) <;> simp #align set.subsingleton.closure Set.Subsingleton.closure @[simp] theorem subsingleton_closure [T1Space X] {s : Set X} : (closure s).Subsingleton ↔ s.Subsingleton := ⟨fun h => h.anti subset_closure, fun h => h.closure⟩ #align subsingleton_closure subsingleton_closure theorem isClosedMap_const {X Y} [TopologicalSpace X] [TopologicalSpace Y] [T1Space Y] {y : Y} : IsClosedMap (Function.const X y) := IsClosedMap.of_nonempty fun s _ h2s => by simp_rw [const, h2s.image_const, isClosed_singleton] #align is_closed_map_const isClosedMap_const
Mathlib/Topology/Separation.lean
747
753
theorem nhdsWithin_insert_of_ne [T1Space X] {x y : X} {s : Set X} (hxy : x ≠ y) : 𝓝[insert y s] x = 𝓝[s] x := by
refine le_antisymm (Filter.le_def.2 fun t ht => ?_) (nhdsWithin_mono x <| subset_insert y s) obtain ⟨o, ho, hxo, host⟩ := mem_nhdsWithin.mp ht refine mem_nhdsWithin.mpr ⟨o \ {y}, ho.sdiff isClosed_singleton, ⟨hxo, hxy⟩, ?_⟩ rw [inter_insert_of_not_mem <| not_mem_diff_of_mem (mem_singleton y)] exact (inter_subset_inter diff_subset Subset.rfl).trans host
import Mathlib.Data.ENNReal.Real #align_import data.real.conjugate_exponents from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" noncomputable section open scoped ENNReal namespace Real @[mk_iff] structure IsConjExponent (p q : ℝ) : Prop where one_lt : 1 < p inv_add_inv_conj : p⁻¹ + q⁻¹ = 1 #align real.is_conjugate_exponent Real.IsConjExponent def conjExponent (p : ℝ) : ℝ := p / (p - 1) #align real.conjugate_exponent Real.conjExponent variable {a b p q : ℝ} (h : p.IsConjExponent q) namespace IsConjExponent theorem pos : 0 < p := lt_trans zero_lt_one h.one_lt #align real.is_conjugate_exponent.pos Real.IsConjExponent.pos theorem nonneg : 0 ≤ p := le_of_lt h.pos #align real.is_conjugate_exponent.nonneg Real.IsConjExponent.nonneg theorem ne_zero : p ≠ 0 := ne_of_gt h.pos #align real.is_conjugate_exponent.ne_zero Real.IsConjExponent.ne_zero theorem sub_one_pos : 0 < p - 1 := sub_pos.2 h.one_lt #align real.is_conjugate_exponent.sub_one_pos Real.IsConjExponent.sub_one_pos theorem sub_one_ne_zero : p - 1 ≠ 0 := ne_of_gt h.sub_one_pos #align real.is_conjugate_exponent.sub_one_ne_zero Real.IsConjExponent.sub_one_ne_zero protected lemma inv_pos : 0 < p⁻¹ := inv_pos.2 h.pos protected lemma inv_nonneg : 0 ≤ p⁻¹ := h.inv_pos.le protected lemma inv_ne_zero : p⁻¹ ≠ 0 := h.inv_pos.ne' theorem one_div_pos : 0 < 1 / p := _root_.one_div_pos.2 h.pos #align real.is_conjugate_exponent.one_div_pos Real.IsConjExponent.one_div_pos theorem one_div_nonneg : 0 ≤ 1 / p := le_of_lt h.one_div_pos #align real.is_conjugate_exponent.one_div_nonneg Real.IsConjExponent.one_div_nonneg theorem one_div_ne_zero : 1 / p ≠ 0 := ne_of_gt h.one_div_pos #align real.is_conjugate_exponent.one_div_ne_zero Real.IsConjExponent.one_div_ne_zero
Mathlib/Data/Real/ConjExponents.lean
85
88
theorem conj_eq : q = p / (p - 1) := by
have := h.inv_add_inv_conj rw [← eq_sub_iff_add_eq', inv_eq_iff_eq_inv] at this field_simp [this, h.ne_zero]
import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Topology.MetricSpace.IsometricSMul #align_import topology.metric_space.hausdorff_distance from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" noncomputable section open NNReal ENNReal Topology Set Filter Pointwise Bornology universe u v w variable {ι : Sort*} {α : Type u} {β : Type v} namespace EMetric section InfEdist variable [PseudoEMetricSpace α] [PseudoEMetricSpace β] {x y : α} {s t : Set α} {Φ : α → β} def infEdist (x : α) (s : Set α) : ℝ≥0∞ := ⨅ y ∈ s, edist x y #align emetric.inf_edist EMetric.infEdist @[simp] theorem infEdist_empty : infEdist x ∅ = ∞ := iInf_emptyset #align emetric.inf_edist_empty EMetric.infEdist_empty theorem le_infEdist {d} : d ≤ infEdist x s ↔ ∀ y ∈ s, d ≤ edist x y := by simp only [infEdist, le_iInf_iff] #align emetric.le_inf_edist EMetric.le_infEdist @[simp] theorem infEdist_union : infEdist x (s ∪ t) = infEdist x s ⊓ infEdist x t := iInf_union #align emetric.inf_edist_union EMetric.infEdist_union @[simp] theorem infEdist_iUnion (f : ι → Set α) (x : α) : infEdist x (⋃ i, f i) = ⨅ i, infEdist x (f i) := iInf_iUnion f _ #align emetric.inf_edist_Union EMetric.infEdist_iUnion lemma infEdist_biUnion {ι : Type*} (f : ι → Set α) (I : Set ι) (x : α) : infEdist x (⋃ i ∈ I, f i) = ⨅ i ∈ I, infEdist x (f i) := by simp only [infEdist_iUnion] @[simp] theorem infEdist_singleton : infEdist x {y} = edist x y := iInf_singleton #align emetric.inf_edist_singleton EMetric.infEdist_singleton theorem infEdist_le_edist_of_mem (h : y ∈ s) : infEdist x s ≤ edist x y := iInf₂_le y h #align emetric.inf_edist_le_edist_of_mem EMetric.infEdist_le_edist_of_mem theorem infEdist_zero_of_mem (h : x ∈ s) : infEdist x s = 0 := nonpos_iff_eq_zero.1 <| @edist_self _ _ x ▸ infEdist_le_edist_of_mem h #align emetric.inf_edist_zero_of_mem EMetric.infEdist_zero_of_mem theorem infEdist_anti (h : s ⊆ t) : infEdist x t ≤ infEdist x s := iInf_le_iInf_of_subset h #align emetric.inf_edist_anti EMetric.infEdist_anti theorem infEdist_lt_iff {r : ℝ≥0∞} : infEdist x s < r ↔ ∃ y ∈ s, edist x y < r := by simp_rw [infEdist, iInf_lt_iff, exists_prop] #align emetric.inf_edist_lt_iff EMetric.infEdist_lt_iff theorem infEdist_le_infEdist_add_edist : infEdist x s ≤ infEdist y s + edist x y := calc ⨅ z ∈ s, edist x z ≤ ⨅ z ∈ s, edist y z + edist x y := iInf₂_mono fun z _ => (edist_triangle _ _ _).trans_eq (add_comm _ _) _ = (⨅ z ∈ s, edist y z) + edist x y := by simp only [ENNReal.iInf_add] #align emetric.inf_edist_le_inf_edist_add_edist EMetric.infEdist_le_infEdist_add_edist theorem infEdist_le_edist_add_infEdist : infEdist x s ≤ edist x y + infEdist y s := by rw [add_comm] exact infEdist_le_infEdist_add_edist #align emetric.inf_edist_le_edist_add_inf_edist EMetric.infEdist_le_edist_add_infEdist theorem edist_le_infEdist_add_ediam (hy : y ∈ s) : edist x y ≤ infEdist x s + diam s := by simp_rw [infEdist, ENNReal.iInf_add] refine le_iInf₂ fun i hi => ?_ calc edist x y ≤ edist x i + edist i y := edist_triangle _ _ _ _ ≤ edist x i + diam s := add_le_add le_rfl (edist_le_diam_of_mem hi hy) #align emetric.edist_le_inf_edist_add_ediam EMetric.edist_le_infEdist_add_ediam @[continuity] theorem continuous_infEdist : Continuous fun x => infEdist x s := continuous_of_le_add_edist 1 (by simp) <| by simp only [one_mul, infEdist_le_infEdist_add_edist, forall₂_true_iff] #align emetric.continuous_inf_edist EMetric.continuous_infEdist theorem infEdist_closure : infEdist x (closure s) = infEdist x s := by refine le_antisymm (infEdist_anti subset_closure) ?_ refine ENNReal.le_of_forall_pos_le_add fun ε εpos h => ?_ have ε0 : 0 < (ε / 2 : ℝ≥0∞) := by simpa [pos_iff_ne_zero] using εpos have : infEdist x (closure s) < infEdist x (closure s) + ε / 2 := ENNReal.lt_add_right h.ne ε0.ne' obtain ⟨y : α, ycs : y ∈ closure s, hy : edist x y < infEdist x (closure s) + ↑ε / 2⟩ := infEdist_lt_iff.mp this obtain ⟨z : α, zs : z ∈ s, dyz : edist y z < ↑ε / 2⟩ := EMetric.mem_closure_iff.1 ycs (ε / 2) ε0 calc infEdist x s ≤ edist x z := infEdist_le_edist_of_mem zs _ ≤ edist x y + edist y z := edist_triangle _ _ _ _ ≤ infEdist x (closure s) + ε / 2 + ε / 2 := add_le_add (le_of_lt hy) (le_of_lt dyz) _ = infEdist x (closure s) + ↑ε := by rw [add_assoc, ENNReal.add_halves] #align emetric.inf_edist_closure EMetric.infEdist_closure theorem mem_closure_iff_infEdist_zero : x ∈ closure s ↔ infEdist x s = 0 := ⟨fun h => by rw [← infEdist_closure] exact infEdist_zero_of_mem h, fun h => EMetric.mem_closure_iff.2 fun ε εpos => infEdist_lt_iff.mp <| by rwa [h]⟩ #align emetric.mem_closure_iff_inf_edist_zero EMetric.mem_closure_iff_infEdist_zero theorem mem_iff_infEdist_zero_of_closed (h : IsClosed s) : x ∈ s ↔ infEdist x s = 0 := by rw [← mem_closure_iff_infEdist_zero, h.closure_eq] #align emetric.mem_iff_inf_edist_zero_of_closed EMetric.mem_iff_infEdist_zero_of_closed theorem infEdist_pos_iff_not_mem_closure {x : α} {E : Set α} : 0 < infEdist x E ↔ x ∉ closure E := by rw [mem_closure_iff_infEdist_zero, pos_iff_ne_zero] #align emetric.inf_edist_pos_iff_not_mem_closure EMetric.infEdist_pos_iff_not_mem_closure theorem infEdist_closure_pos_iff_not_mem_closure {x : α} {E : Set α} : 0 < infEdist x (closure E) ↔ x ∉ closure E := by rw [infEdist_closure, infEdist_pos_iff_not_mem_closure] #align emetric.inf_edist_closure_pos_iff_not_mem_closure EMetric.infEdist_closure_pos_iff_not_mem_closure theorem exists_real_pos_lt_infEdist_of_not_mem_closure {x : α} {E : Set α} (h : x ∉ closure E) : ∃ ε : ℝ, 0 < ε ∧ ENNReal.ofReal ε < infEdist x E := by rw [← infEdist_pos_iff_not_mem_closure, ENNReal.lt_iff_exists_real_btwn] at h rcases h with ⟨ε, ⟨_, ⟨ε_pos, ε_lt⟩⟩⟩ exact ⟨ε, ⟨ENNReal.ofReal_pos.mp ε_pos, ε_lt⟩⟩ #align emetric.exists_real_pos_lt_inf_edist_of_not_mem_closure EMetric.exists_real_pos_lt_infEdist_of_not_mem_closure
Mathlib/Topology/MetricSpace/HausdorffDistance.lean
203
211
theorem disjoint_closedBall_of_lt_infEdist {r : ℝ≥0∞} (h : r < infEdist x s) : Disjoint (closedBall x r) s := by
rw [disjoint_left] intro y hy h'y apply lt_irrefl (infEdist x s) calc infEdist x s ≤ edist x y := infEdist_le_edist_of_mem h'y _ ≤ r := by rwa [mem_closedBall, edist_comm] at hy _ < infEdist x s := h
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle #align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped EuclideanGeometry open scoped Real open scoped RealInnerProductSpace namespace Orientation open FiniteDimensional variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2))
Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean
36
42
theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) : o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two] rw [o.oangle_eq_angle_of_sign_eq_one hs, InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
import Mathlib.Order.Filter.Basic import Mathlib.Data.Set.Countable #align_import order.filter.countable_Inter from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a" open Set Filter open Filter variable {ι : Sort*} {α β : Type*} class CountableInterFilter (l : Filter α) : Prop where countable_sInter_mem : ∀ S : Set (Set α), S.Countable → (∀ s ∈ S, s ∈ l) → ⋂₀ S ∈ l #align countable_Inter_filter CountableInterFilter variable {l : Filter α} [CountableInterFilter l] theorem countable_sInter_mem {S : Set (Set α)} (hSc : S.Countable) : ⋂₀ S ∈ l ↔ ∀ s ∈ S, s ∈ l := ⟨fun hS _s hs => mem_of_superset hS (sInter_subset_of_mem hs), CountableInterFilter.countable_sInter_mem _ hSc⟩ #align countable_sInter_mem countable_sInter_mem theorem countable_iInter_mem [Countable ι] {s : ι → Set α} : (⋂ i, s i) ∈ l ↔ ∀ i, s i ∈ l := sInter_range s ▸ (countable_sInter_mem (countable_range _)).trans forall_mem_range #align countable_Inter_mem countable_iInter_mem theorem countable_bInter_mem {ι : Type*} {S : Set ι} (hS : S.Countable) {s : ∀ i ∈ S, Set α} : (⋂ i, ⋂ hi : i ∈ S, s i ‹_›) ∈ l ↔ ∀ i, ∀ hi : i ∈ S, s i ‹_› ∈ l := by rw [biInter_eq_iInter] haveI := hS.toEncodable exact countable_iInter_mem.trans Subtype.forall #align countable_bInter_mem countable_bInter_mem theorem eventually_countable_forall [Countable ι] {p : α → ι → Prop} : (∀ᶠ x in l, ∀ i, p x i) ↔ ∀ i, ∀ᶠ x in l, p x i := by simpa only [Filter.Eventually, setOf_forall] using @countable_iInter_mem _ _ l _ _ fun i => { x | p x i } #align eventually_countable_forall eventually_countable_forall theorem eventually_countable_ball {ι : Type*} {S : Set ι} (hS : S.Countable) {p : α → ∀ i ∈ S, Prop} : (∀ᶠ x in l, ∀ i hi, p x i hi) ↔ ∀ i hi, ∀ᶠ x in l, p x i hi := by simpa only [Filter.Eventually, setOf_forall] using @countable_bInter_mem _ l _ _ _ hS fun i hi => { x | p x i hi } #align eventually_countable_ball eventually_countable_ball theorem EventuallyLE.countable_iUnion [Countable ι] {s t : ι → Set α} (h : ∀ i, s i ≤ᶠ[l] t i) : ⋃ i, s i ≤ᶠ[l] ⋃ i, t i := (eventually_countable_forall.2 h).mono fun _ hst hs => mem_iUnion.2 <| (mem_iUnion.1 hs).imp hst #align eventually_le.countable_Union EventuallyLE.countable_iUnion theorem EventuallyEq.countable_iUnion [Countable ι] {s t : ι → Set α} (h : ∀ i, s i =ᶠ[l] t i) : ⋃ i, s i =ᶠ[l] ⋃ i, t i := (EventuallyLE.countable_iUnion fun i => (h i).le).antisymm (EventuallyLE.countable_iUnion fun i => (h i).symm.le) #align eventually_eq.countable_Union EventuallyEq.countable_iUnion
Mathlib/Order/Filter/CountableInter.lean
89
94
theorem EventuallyLE.countable_bUnion {ι : Type*} {S : Set ι} (hS : S.Countable) {s t : ∀ i ∈ S, Set α} (h : ∀ i hi, s i hi ≤ᶠ[l] t i hi) : ⋃ i ∈ S, s i ‹_› ≤ᶠ[l] ⋃ i ∈ S, t i ‹_› := by
simp only [biUnion_eq_iUnion] haveI := hS.toEncodable exact EventuallyLE.countable_iUnion fun i => h i i.2
import Mathlib.Topology.ContinuousFunction.Basic #align_import topology.compact_open from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" open Set Filter TopologicalSpace open scoped Topology namespace ContinuousMap section CompactOpen variable {α X Y Z T : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace T] variable {K : Set X} {U : Set Y} #noalign continuous_map.compact_open.gen #noalign continuous_map.gen_empty #noalign continuous_map.gen_univ #noalign continuous_map.gen_inter #noalign continuous_map.gen_union #noalign continuous_map.gen_empty_right instance compactOpen : TopologicalSpace C(X, Y) := .generateFrom <| image2 (fun K U ↦ {f | MapsTo f K U}) {K | IsCompact K} {U | IsOpen U} #align continuous_map.compact_open ContinuousMap.compactOpen theorem compactOpen_eq : @compactOpen X Y _ _ = .generateFrom (image2 (fun K U ↦ {f | MapsTo f K U}) {K | IsCompact K} {t | IsOpen t}) := rfl theorem isOpen_setOf_mapsTo (hK : IsCompact K) (hU : IsOpen U) : IsOpen {f : C(X, Y) | MapsTo f K U} := isOpen_generateFrom_of_mem <| mem_image2_of_mem hK hU #align continuous_map.is_open_gen ContinuousMap.isOpen_setOf_mapsTo lemma eventually_mapsTo {f : C(X, Y)} (hK : IsCompact K) (hU : IsOpen U) (h : MapsTo f K U) : ∀ᶠ g : C(X, Y) in 𝓝 f, MapsTo g K U := (isOpen_setOf_mapsTo hK hU).mem_nhds h lemma nhds_compactOpen (f : C(X, Y)) : 𝓝 f = ⨅ (K : Set X) (_ : IsCompact K) (U : Set Y) (_ : IsOpen U) (_ : MapsTo f K U), 𝓟 {g : C(X, Y) | MapsTo g K U} := by simp_rw [compactOpen_eq, nhds_generateFrom, mem_setOf_eq, @and_comm (f ∈ _), iInf_and, ← image_prod, iInf_image, biInf_prod, mem_setOf_eq] lemma tendsto_nhds_compactOpen {l : Filter α} {f : α → C(Y, Z)} {g : C(Y, Z)} : Tendsto f l (𝓝 g) ↔ ∀ K, IsCompact K → ∀ U, IsOpen U → MapsTo g K U → ∀ᶠ a in l, MapsTo (f a) K U := by simp [nhds_compactOpen] lemma continuous_compactOpen {f : X → C(Y, Z)} : Continuous f ↔ ∀ K, IsCompact K → ∀ U, IsOpen U → IsOpen {x | MapsTo (f x) K U} := continuous_generateFrom_iff.trans forall_image2_iff section Functorial theorem continuous_comp (g : C(Y, Z)) : Continuous (ContinuousMap.comp g : C(X, Y) → C(X, Z)) := continuous_compactOpen.2 fun _K hK _U hU ↦ isOpen_setOf_mapsTo hK (hU.preimage g.2) #align continuous_map.continuous_comp ContinuousMap.continuous_comp theorem inducing_comp (g : C(Y, Z)) (hg : Inducing g) : Inducing (g.comp : C(X, Y) → C(X, Z)) where induced := by simp only [compactOpen_eq, induced_generateFrom_eq, image_image2, hg.setOf_isOpen, image2_image_right, MapsTo, mem_preimage, preimage_setOf_eq, comp_apply] theorem embedding_comp (g : C(Y, Z)) (hg : Embedding g) : Embedding (g.comp : C(X, Y) → C(X, Z)) := ⟨inducing_comp g hg.1, fun _ _ ↦ (cancel_left hg.2).1⟩ theorem continuous_comp_left (f : C(X, Y)) : Continuous (fun g => g.comp f : C(Y, Z) → C(X, Z)) := continuous_compactOpen.2 fun K hK U hU ↦ by simpa only [mapsTo_image_iff] using isOpen_setOf_mapsTo (hK.image f.2) hU #align continuous_map.continuous_comp_left ContinuousMap.continuous_comp_left protected def _root_.Homeomorph.arrowCongr (φ : X ≃ₜ Z) (ψ : Y ≃ₜ T) : C(X, Y) ≃ₜ C(Z, T) where toFun f := .comp ψ <| f.comp φ.symm invFun f := .comp ψ.symm <| f.comp φ left_inv f := ext fun _ ↦ ψ.left_inv (f _) |>.trans <| congrArg f <| φ.left_inv _ right_inv f := ext fun _ ↦ ψ.right_inv (f _) |>.trans <| congrArg f <| φ.right_inv _ continuous_toFun := continuous_comp _ |>.comp <| continuous_comp_left _ continuous_invFun := continuous_comp _ |>.comp <| continuous_comp_left _ variable [LocallyCompactPair Y Z]
Mathlib/Topology/CompactOpen.lean
129
138
theorem continuous_comp' : Continuous fun x : C(X, Y) × C(Y, Z) => x.2.comp x.1 := by
simp_rw [continuous_iff_continuousAt, ContinuousAt, tendsto_nhds_compactOpen] intro ⟨f, g⟩ K hK U hU (hKU : MapsTo (g ∘ f) K U) obtain ⟨L, hKL, hLc, hLU⟩ : ∃ L ∈ 𝓝ˢ (f '' K), IsCompact L ∧ MapsTo g L U := exists_mem_nhdsSet_isCompact_mapsTo g.continuous (hK.image f.continuous) hU (mapsTo_image_iff.2 hKU) rw [← subset_interior_iff_mem_nhdsSet, ← mapsTo'] at hKL exact ((eventually_mapsTo hK isOpen_interior hKL).prod_nhds (eventually_mapsTo hLc hU hLU)).mono fun ⟨f', g'⟩ ⟨hf', hg'⟩ ↦ hg'.comp <| hf'.mono_right interior_subset
import Mathlib.CategoryTheory.Monoidal.Category import Mathlib.CategoryTheory.Adjunction.FullyFaithful import Mathlib.CategoryTheory.Products.Basic #align_import category_theory.monoidal.functor from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042" open CategoryTheory universe v₁ v₂ v₃ u₁ u₂ u₃ open CategoryTheory.Category open CategoryTheory.Functor namespace CategoryTheory section open MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] (D : Type u₂) [Category.{v₂} D] [MonoidalCategory.{v₂} D] -- The direction of `left_unitality` and `right_unitality` as simp lemmas may look strange: -- remember the rule of thumb that component indices of natural transformations -- "weigh more" than structural maps. -- (However by this argument `associativity` is currently stated backwards!) structure LaxMonoidalFunctor extends C ⥤ D where ε : 𝟙_ D ⟶ obj (𝟙_ C) μ : ∀ X Y : C, obj X ⊗ obj Y ⟶ obj (X ⊗ Y) μ_natural_left : ∀ {X Y : C} (f : X ⟶ Y) (X' : C), map f ▷ obj X' ≫ μ Y X' = μ X X' ≫ map (f ▷ X') := by aesop_cat μ_natural_right : ∀ {X Y : C} (X' : C) (f : X ⟶ Y) , obj X' ◁ map f ≫ μ X' Y = μ X' X ≫ map (X' ◁ f) := by aesop_cat associativity : ∀ X Y Z : C, μ X Y ▷ obj Z ≫ μ (X ⊗ Y) Z ≫ map (α_ X Y Z).hom = (α_ (obj X) (obj Y) (obj Z)).hom ≫ obj X ◁ μ Y Z ≫ μ X (Y ⊗ Z) := by aesop_cat -- unitality left_unitality : ∀ X : C, (λ_ (obj X)).hom = ε ▷ obj X ≫ μ (𝟙_ C) X ≫ map (λ_ X).hom := by aesop_cat right_unitality : ∀ X : C, (ρ_ (obj X)).hom = obj X ◁ ε ≫ μ X (𝟙_ C) ≫ map (ρ_ X).hom := by aesop_cat #align category_theory.lax_monoidal_functor CategoryTheory.LaxMonoidalFunctor -- Porting note (#11215): TODO: remove this configuration and use the default configuration. -- We keep this to be consistent with Lean 3. -- See also `initialize_simps_projections MonoidalFunctor` below. -- This may require waiting on https://github.com/leanprover-community/mathlib4/pull/2936 initialize_simps_projections LaxMonoidalFunctor (+toFunctor, -obj, -map) attribute [reassoc (attr := simp)] LaxMonoidalFunctor.μ_natural_left attribute [reassoc (attr := simp)] LaxMonoidalFunctor.μ_natural_right attribute [simp] LaxMonoidalFunctor.left_unitality attribute [simp] LaxMonoidalFunctor.right_unitality attribute [reassoc (attr := simp)] LaxMonoidalFunctor.associativity -- When `rewrite_search` lands, add @[search] attributes to -- LaxMonoidalFunctor.μ_natural LaxMonoidalFunctor.left_unitality -- LaxMonoidalFunctor.right_unitality LaxMonoidalFunctor.associativity section variable {C D} @[reassoc (attr := simp)] theorem LaxMonoidalFunctor.μ_natural (F : LaxMonoidalFunctor C D) {X Y X' Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') : (F.map f ⊗ F.map g) ≫ F.μ Y Y' = F.μ X X' ≫ F.map (f ⊗ g) := by simp [tensorHom_def] @[simps] def LaxMonoidalFunctor.ofTensorHom (F : C ⥤ D) (ε : 𝟙_ D ⟶ F.obj (𝟙_ C)) (μ : ∀ X Y : C, F.obj X ⊗ F.obj Y ⟶ F.obj (X ⊗ Y)) (μ_natural : ∀ {X Y X' Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y'), (F.map f ⊗ F.map g) ≫ μ Y Y' = μ X X' ≫ F.map (f ⊗ g) := by aesop_cat) (associativity : ∀ X Y Z : C, (μ X Y ⊗ 𝟙 (F.obj Z)) ≫ μ (X ⊗ Y) Z ≫ F.map (α_ X Y Z).hom = (α_ (F.obj X) (F.obj Y) (F.obj Z)).hom ≫ (𝟙 (F.obj X) ⊗ μ Y Z) ≫ μ X (Y ⊗ Z) := by aesop_cat) (left_unitality : ∀ X : C, (λ_ (F.obj X)).hom = (ε ⊗ 𝟙 (F.obj X)) ≫ μ (𝟙_ C) X ≫ F.map (λ_ X).hom := by aesop_cat) (right_unitality : ∀ X : C, (ρ_ (F.obj X)).hom = (𝟙 (F.obj X) ⊗ ε) ≫ μ X (𝟙_ C) ≫ F.map (ρ_ X).hom := by aesop_cat) : LaxMonoidalFunctor C D where obj := F.obj map := F.map map_id := F.map_id map_comp := F.map_comp ε := ε μ := μ μ_natural_left := fun f X' => by simp_rw [← tensorHom_id, ← F.map_id, μ_natural] μ_natural_right := fun X' f => by simp_rw [← id_tensorHom, ← F.map_id, μ_natural] associativity := fun X Y Z => by simp_rw [← tensorHom_id, ← id_tensorHom, associativity] left_unitality := fun X => by simp_rw [← tensorHom_id, left_unitality] right_unitality := fun X => by simp_rw [← id_tensorHom, right_unitality] @[reassoc (attr := simp)] theorem LaxMonoidalFunctor.left_unitality_inv (F : LaxMonoidalFunctor C D) (X : C) : (λ_ (F.obj X)).inv ≫ F.ε ▷ F.obj X ≫ F.μ (𝟙_ C) X = F.map (λ_ X).inv := by rw [Iso.inv_comp_eq, F.left_unitality, Category.assoc, Category.assoc, ← F.toFunctor.map_comp, Iso.hom_inv_id, F.toFunctor.map_id, comp_id] #align category_theory.lax_monoidal_functor.left_unitality_inv CategoryTheory.LaxMonoidalFunctor.left_unitality_inv @[reassoc (attr := simp)] theorem LaxMonoidalFunctor.right_unitality_inv (F : LaxMonoidalFunctor C D) (X : C) : (ρ_ (F.obj X)).inv ≫ F.obj X ◁ F.ε ≫ F.μ X (𝟙_ C) = F.map (ρ_ X).inv := by rw [Iso.inv_comp_eq, F.right_unitality, Category.assoc, Category.assoc, ← F.toFunctor.map_comp, Iso.hom_inv_id, F.toFunctor.map_id, comp_id] #align category_theory.lax_monoidal_functor.right_unitality_inv CategoryTheory.LaxMonoidalFunctor.right_unitality_inv @[reassoc (attr := simp)] theorem LaxMonoidalFunctor.associativity_inv (F : LaxMonoidalFunctor C D) (X Y Z : C) : F.obj X ◁ F.μ Y Z ≫ F.μ X (Y ⊗ Z) ≫ F.map (α_ X Y Z).inv = (α_ (F.obj X) (F.obj Y) (F.obj Z)).inv ≫ F.μ X Y ▷ F.obj Z ≫ F.μ (X ⊗ Y) Z := by rw [Iso.eq_inv_comp, ← F.associativity_assoc, ← F.toFunctor.map_comp, Iso.hom_inv_id, F.toFunctor.map_id, comp_id] #align category_theory.lax_monoidal_functor.associativity_inv CategoryTheory.LaxMonoidalFunctor.associativity_inv end structure OplaxMonoidalFunctor extends C ⥤ D where η : obj (𝟙_ C) ⟶ 𝟙_ D δ : ∀ X Y : C, obj (X ⊗ Y) ⟶ obj X ⊗ obj Y δ_natural_left : ∀ {X Y : C} (f : X ⟶ Y) (X' : C), δ X X' ≫ map f ▷ obj X' = map (f ▷ X') ≫ δ Y X' := by aesop_cat δ_natural_right : ∀ {X Y : C} (X' : C) (f : X ⟶ Y) , δ X' X ≫ obj X' ◁ map f = map (X' ◁ f) ≫ δ X' Y := by aesop_cat associativity : ∀ X Y Z : C, δ (X ⊗ Y) Z ≫ δ X Y ▷ obj Z ≫ (α_ (obj X) (obj Y) (obj Z)).hom = map (α_ X Y Z).hom ≫ δ X (Y ⊗ Z) ≫ obj X ◁ δ Y Z := by aesop_cat -- unitality left_unitality : ∀ X : C, (λ_ (obj X)).inv = map (λ_ X).inv ≫ δ (𝟙_ C) X ≫ η ▷ obj X := by aesop_cat right_unitality : ∀ X : C, (ρ_ (obj X)).inv = map (ρ_ X).inv ≫ δ X (𝟙_ C) ≫ obj X ◁ η := by aesop_cat initialize_simps_projections OplaxMonoidalFunctor (+toFunctor, -obj, -map) attribute [reassoc (attr := simp)] OplaxMonoidalFunctor.δ_natural_left attribute [reassoc (attr := simp)] OplaxMonoidalFunctor.δ_natural_right attribute [simp] OplaxMonoidalFunctor.left_unitality attribute [simp] OplaxMonoidalFunctor.right_unitality attribute [reassoc (attr := simp)] OplaxMonoidalFunctor.associativity section variable {C D} @[reassoc (attr := simp)] theorem OplaxMonoidalFunctor.δ_natural (F : OplaxMonoidalFunctor C D) {X Y X' Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') : F.δ X X' ≫ (F.map f ⊗ F.map g) = F.map (f ⊗ g) ≫ F.δ Y Y' := by simp [tensorHom_def] @[reassoc (attr := simp)] theorem OplaxMonoidalFunctor.left_unitality_hom (F : OplaxMonoidalFunctor C D) (X : C) : F.δ (𝟙_ C) X ≫ F.η ▷ F.obj X ≫ (λ_ (F.obj X)).hom = F.map (λ_ X).hom := by rw [← Category.assoc, ← Iso.eq_comp_inv, F.left_unitality, ← Category.assoc, ← F.toFunctor.map_comp, Iso.hom_inv_id, F.toFunctor.map_id, id_comp] @[reassoc (attr := simp)] theorem OplaxMonoidalFunctor.right_unitality_hom (F : OplaxMonoidalFunctor C D) (X : C) : F.δ X (𝟙_ C) ≫ F.obj X ◁ F.η ≫ (ρ_ (F.obj X)).hom = F.map (ρ_ X).hom := by rw [← Category.assoc, ← Iso.eq_comp_inv, F.right_unitality, ← Category.assoc, ← F.toFunctor.map_comp, Iso.hom_inv_id, F.toFunctor.map_id, id_comp] @[reassoc (attr := simp)] theorem OplaxMonoidalFunctor.associativity_inv (F : OplaxMonoidalFunctor C D) (X Y Z : C) : F.δ X (Y ⊗ Z) ≫ F.obj X ◁ F.δ Y Z ≫ (α_ (F.obj X) (F.obj Y) (F.obj Z)).inv = F.map (α_ X Y Z).inv ≫ F.δ (X ⊗ Y) Z ≫ F.δ X Y ▷ F.obj Z := by rw [← Category.assoc, Iso.comp_inv_eq, Category.assoc, Category.assoc, F.associativity, ← Category.assoc, ← F.toFunctor.map_comp, Iso.inv_hom_id, F.toFunctor.map_id, id_comp] end structure MonoidalFunctor extends LaxMonoidalFunctor.{v₁, v₂} C D where ε_isIso : IsIso ε := by infer_instance μ_isIso : ∀ X Y : C, IsIso (μ X Y) := by infer_instance #align category_theory.monoidal_functor CategoryTheory.MonoidalFunctor -- See porting note on `initialize_simps_projections LaxMonoidalFunctor` initialize_simps_projections MonoidalFunctor (+toLaxMonoidalFunctor, -obj, -map, -ε, -μ) attribute [instance] MonoidalFunctor.ε_isIso MonoidalFunctor.μ_isIso variable {C D} noncomputable def MonoidalFunctor.εIso (F : MonoidalFunctor.{v₁, v₂} C D) : 𝟙_ D ≅ F.obj (𝟙_ C) := asIso F.ε #align category_theory.monoidal_functor.ε_iso CategoryTheory.MonoidalFunctor.εIso noncomputable def MonoidalFunctor.μIso (F : MonoidalFunctor.{v₁, v₂} C D) (X Y : C) : F.obj X ⊗ F.obj Y ≅ F.obj (X ⊗ Y) := asIso (F.μ X Y) #align category_theory.monoidal_functor.μ_iso CategoryTheory.MonoidalFunctor.μIso @[simps] noncomputable def MonoidalFunctor.toOplaxMonoidalFunctor (F : MonoidalFunctor C D) : OplaxMonoidalFunctor C D := { F with η := inv F.ε, δ := fun X Y => inv (F.μ X Y), δ_natural_left := by aesop_cat δ_natural_right := by aesop_cat associativity := by intros X Y Z dsimp rw [IsIso.inv_comp_eq, ← inv_whiskerRight, IsIso.inv_comp_eq] slice_rhs 1 3 => rw [F.associativity] simp left_unitality := by intros X dsimp apply Iso.inv_ext rw [F.left_unitality] slice_lhs 3 4 => rw [← F.map_comp, Iso.hom_inv_id, F.map_id] simp [inv_whiskerRight] right_unitality := by intros X dsimp apply Iso.inv_ext rw [F.right_unitality] slice_lhs 3 4 => rw [← F.map_comp, Iso.hom_inv_id, F.map_id] simp } end open MonoidalCategory namespace MonoidalFunctor section variable {C : Type u₁} [Category.{v₁} C] [MonoidalCategory.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] [MonoidalCategory.{v₂} D] variable (F : MonoidalFunctor.{v₁, v₂} C D) @[reassoc] theorem map_tensor {X Y X' Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') : F.map (f ⊗ g) = inv (F.μ X X') ≫ (F.map f ⊗ F.map g) ≫ F.μ Y Y' := by simp #align category_theory.monoidal_functor.map_tensor CategoryTheory.MonoidalFunctor.map_tensor @[reassoc] theorem map_whiskerLeft (X : C) {Y Z : C} (f : Y ⟶ Z) : F.map (X ◁ f) = inv (F.μ X Y) ≫ F.obj X ◁ F.map f ≫ F.μ X Z := by simp @[reassoc] theorem map_whiskerRight {X Y : C} (f : X ⟶ Y) (Z : C) : F.map (f ▷ Z) = inv (F.μ X Z) ≫ F.map f ▷ F.obj Z ≫ F.μ Y Z := by simp @[reassoc] theorem map_leftUnitor (X : C) : F.map (λ_ X).hom = inv (F.μ (𝟙_ C) X) ≫ inv F.ε ▷ F.obj X ≫ (λ_ (F.obj X)).hom := by simp only [LaxMonoidalFunctor.left_unitality] slice_rhs 2 3 => rw [← comp_whiskerRight] simp simp #align category_theory.monoidal_functor.map_left_unitor CategoryTheory.MonoidalFunctor.map_leftUnitor @[reassoc]
Mathlib/CategoryTheory/Monoidal/Functor.lean
390
396
theorem map_rightUnitor (X : C) : F.map (ρ_ X).hom = inv (F.μ X (𝟙_ C)) ≫ F.obj X ◁ inv F.ε ≫ (ρ_ (F.obj X)).hom := by
simp only [LaxMonoidalFunctor.right_unitality] slice_rhs 2 3 => rw [← MonoidalCategory.whiskerLeft_comp] simp simp
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] 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] #align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse @[simp] theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl #align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil @[simp] theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).length = p.length + 1 := rfl #align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons @[simp] theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).length = p.length := by subst_vars rfl #align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy @[simp] theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) : (p.append q).length = p.length + q.length := by induction p with | nil => simp | cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc] #align simple_graph.walk.length_append SimpleGraph.Walk.length_append @[simp] theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).length = p.length + 1 := length_append _ _ #align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat @[simp] protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) : (p.reverseAux q).length = p.length + q.length := by induction p with | nil => simp! | cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc] #align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux @[simp] theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse] #align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v | nil, _ => rfl #align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v | cons h nil, _ => h @[simp] theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by constructor · rintro ⟨p, hp⟩ exact eq_of_length_eq_zero hp · rintro rfl exact ⟨nil, rfl⟩ #align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff @[simp] theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp #align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) : (p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by induction p generalizing i with | nil => simp | cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff] theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) : p.reverse.getVert i = p.getVert (p.length - i) := by induction p with | nil => rfl | cons h p ih => simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons] split_ifs next hi => rw [Nat.succ_sub hi.le] simp [getVert] next hi => obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi · simp [getVert] · rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi'] simp [getVert] theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by cases p <;> simp [concat] #align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'} {h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by induction p with | nil => cases p' · exact ⟨rfl, rfl⟩ · exfalso simp only [concat_nil, concat_cons, cons.injEq] at he obtain ⟨rfl, he⟩ := he simp only [heq_iff_eq] at he exact concat_ne_nil _ _ he.symm | cons _ _ ih => rw [concat_cons] at he cases p' · exfalso simp only [concat_nil, cons.injEq] at he obtain ⟨rfl, he⟩ := he rw [heq_iff_eq] at he exact concat_ne_nil _ _ he · rw [concat_cons, cons.injEq] at he obtain ⟨rfl, he⟩ := he rw [heq_iff_eq] at he obtain ⟨rfl, rfl⟩ := ih he exact ⟨rfl, rfl⟩ #align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj def support {u v : V} : G.Walk u v → List V | nil => [u] | cons _ p => u :: p.support #align simple_graph.walk.support SimpleGraph.Walk.support def darts {u v : V} : G.Walk u v → List G.Dart | nil => [] | cons h p => ⟨(u, _), h⟩ :: p.darts #align simple_graph.walk.darts SimpleGraph.Walk.darts def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge #align simple_graph.walk.edges SimpleGraph.Walk.edges @[simp] theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl #align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil @[simp] theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) : (cons h p).support = u :: p.support := rfl #align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons @[simp] theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : (p.concat h).support = p.support.concat w := by induction p <;> simp [*, concat_nil] #align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat @[simp] theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : (p.copy hu hv).support = p.support := by subst_vars rfl #align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) : (p.append p').support = p.support ++ p'.support.tail := by induction p <;> cases p' <;> simp [*] #align simple_graph.walk.support_append SimpleGraph.Walk.support_append @[simp] theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by induction p <;> simp [support_append, *] #align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse @[simp]
Mathlib/Combinatorics/SimpleGraph/Connectivity.lean
579
579
theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by
cases p <;> simp
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]
Mathlib/Algebra/Order/ToIntervalMod.lean
163
164
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]
import Mathlib.CategoryTheory.NatIso import Mathlib.CategoryTheory.EqToHom #align_import category_theory.quotient from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da" def HomRel (C) [Quiver C] := ∀ ⦃X Y : C⦄, (X ⟶ Y) → (X ⟶ Y) → Prop #align hom_rel HomRel -- Porting Note: `deriving Inhabited` was not able to deduce this typeclass instance (C) [Quiver C] : Inhabited (HomRel C) where default := fun _ _ _ _ ↦ PUnit namespace CategoryTheory variable {C : Type _} [Category C] (r : HomRel C) class Congruence : Prop where equivalence : ∀ {X Y}, _root_.Equivalence (@r X Y) compLeft : ∀ {X Y Z} (f : X ⟶ Y) {g g' : Y ⟶ Z}, r g g' → r (f ≫ g) (f ≫ g') compRight : ∀ {X Y Z} {f f' : X ⟶ Y} (g : Y ⟶ Z), r f f' → r (f ≫ g) (f' ≫ g) #align category_theory.congruence CategoryTheory.Congruence @[ext] structure Quotient (r : HomRel C) where as : C #align category_theory.quotient CategoryTheory.Quotient instance [Inhabited C] : Inhabited (Quotient r) := ⟨{ as := default }⟩ namespace Quotient inductive CompClosure (r : HomRel C) ⦃s t : C⦄ : (s ⟶ t) → (s ⟶ t) → Prop | intro {a b : C} (f : s ⟶ a) (m₁ m₂ : a ⟶ b) (g : b ⟶ t) (h : r m₁ m₂) : CompClosure r (f ≫ m₁ ≫ g) (f ≫ m₂ ≫ g) #align category_theory.quotient.comp_closure CategoryTheory.Quotient.CompClosure theorem CompClosure.of {a b : C} (m₁ m₂ : a ⟶ b) (h : r m₁ m₂) : CompClosure r m₁ m₂ := by simpa using CompClosure.intro (𝟙 _) m₁ m₂ (𝟙 _) h #align category_theory.quotient.comp_closure.of CategoryTheory.Quotient.CompClosure.of theorem comp_left {a b c : C} (f : a ⟶ b) : ∀ (g₁ g₂ : b ⟶ c) (_ : CompClosure r g₁ g₂), CompClosure r (f ≫ g₁) (f ≫ g₂) | _, _, ⟨x, m₁, m₂, y, h⟩ => by simpa using CompClosure.intro (f ≫ x) m₁ m₂ y h #align category_theory.quotient.comp_left CategoryTheory.Quotient.comp_left theorem comp_right {a b c : C} (g : b ⟶ c) : ∀ (f₁ f₂ : a ⟶ b) (_ : CompClosure r f₁ f₂), CompClosure r (f₁ ≫ g) (f₂ ≫ g) | _, _, ⟨x, m₁, m₂, y, h⟩ => by simpa using CompClosure.intro x m₁ m₂ (y ≫ g) h #align category_theory.quotient.comp_right CategoryTheory.Quotient.comp_right def Hom (s t : Quotient r) := Quot <| @CompClosure C _ r s.as t.as #align category_theory.quotient.hom CategoryTheory.Quotient.Hom instance (a : Quotient r) : Inhabited (Hom r a a) := ⟨Quot.mk _ (𝟙 a.as)⟩ def comp ⦃a b c : Quotient r⦄ : Hom r a b → Hom r b c → Hom r a c := fun hf hg ↦ Quot.liftOn hf (fun f ↦ Quot.liftOn hg (fun g ↦ Quot.mk _ (f ≫ g)) fun g₁ g₂ h ↦ Quot.sound <| comp_left r f g₁ g₂ h) fun f₁ f₂ h ↦ Quot.inductionOn hg fun g ↦ Quot.sound <| comp_right r g f₁ f₂ h #align category_theory.quotient.comp CategoryTheory.Quotient.comp @[simp] theorem comp_mk {a b c : Quotient r} (f : a.as ⟶ b.as) (g : b.as ⟶ c.as) : comp r (Quot.mk _ f) (Quot.mk _ g) = Quot.mk _ (f ≫ g) := rfl #align category_theory.quotient.comp_mk CategoryTheory.Quotient.comp_mk -- Porting note: Had to manually add the proofs of `comp_id` `id_comp` and `assoc` instance category : Category (Quotient r) where Hom := Hom r id a := Quot.mk _ (𝟙 a.as) comp := @comp _ _ r comp_id f := Quot.inductionOn f <| by simp id_comp f := Quot.inductionOn f <| by simp assoc f g h := Quot.inductionOn f <| Quot.inductionOn g <| Quot.inductionOn h <| by simp #align category_theory.quotient.category CategoryTheory.Quotient.category def functor : C ⥤ Quotient r where obj a := { as := a } map := @fun _ _ f ↦ Quot.mk _ f #align category_theory.quotient.functor CategoryTheory.Quotient.functor instance full_functor : (functor r).Full where map_surjective f:= ⟨Quot.out f, by simp [functor]⟩ instance essSurj_functor : (functor r).EssSurj where mem_essImage Y := ⟨Y.as, ⟨eqToIso (by ext rfl)⟩⟩ protected theorem induction {P : ∀ {a b : Quotient r}, (a ⟶ b) → Prop} (h : ∀ {x y : C} (f : x ⟶ y), P ((functor r).map f)) : ∀ {a b : Quotient r} (f : a ⟶ b), P f := by rintro ⟨x⟩ ⟨y⟩ ⟨f⟩ exact h f #align category_theory.quotient.induction CategoryTheory.Quotient.induction protected theorem sound {a b : C} {f₁ f₂ : a ⟶ b} (h : r f₁ f₂) : (functor r).map f₁ = (functor r).map f₂ := by simpa using Quot.sound (CompClosure.intro (𝟙 a) f₁ f₂ (𝟙 b) h) #align category_theory.quotient.sound CategoryTheory.Quotient.sound lemma compClosure_iff_self [h : Congruence r] {X Y : C} (f g : X ⟶ Y) : CompClosure r f g ↔ r f g := by constructor · intro hfg induction' hfg with m m' hm exact Congruence.compLeft _ (Congruence.compRight _ (by assumption)) · exact CompClosure.of _ _ _ @[simp] theorem compClosure_eq_self [h : Congruence r] : CompClosure r = r := by ext simp only [compClosure_iff_self] theorem functor_map_eq_iff [h : Congruence r] {X Y : C} (f f' : X ⟶ Y) : (functor r).map f = (functor r).map f' ↔ r f f' := by dsimp [functor] rw [Equivalence.quot_mk_eq_iff, compClosure_eq_self r] simpa only [compClosure_eq_self r] using h.equivalence #align category_theory.quotient.functor_map_eq_iff CategoryTheory.Quotient.functor_map_eq_iff variable {D : Type _} [Category D] (F : C ⥤ D) (H : ∀ (x y : C) (f₁ f₂ : x ⟶ y), r f₁ f₂ → F.map f₁ = F.map f₂) def lift : Quotient r ⥤ D where obj a := F.obj a.as map := @fun a b hf ↦ Quot.liftOn hf (fun f ↦ F.map f) (by rintro _ _ ⟨_, _, _, _, h⟩ simp [H _ _ _ _ h]) map_id a := F.map_id a.as map_comp := by rintro a b c ⟨f⟩ ⟨g⟩ exact F.map_comp f g #align category_theory.quotient.lift CategoryTheory.Quotient.lift theorem lift_spec : functor r ⋙ lift r F H = F := by apply Functor.ext; rotate_left · rintro X rfl · rintro X Y f dsimp [lift, functor] simp #align category_theory.quotient.lift_spec CategoryTheory.Quotient.lift_spec
Mathlib/CategoryTheory/Quotient.lean
186
196
theorem lift_unique (Φ : Quotient r ⥤ D) (hΦ : functor r ⋙ Φ = F) : Φ = lift r F H := by
subst_vars fapply Functor.hext · rintro X dsimp [lift, Functor] congr · rintro _ _ f dsimp [lift, Functor] refine Quot.inductionOn f (fun _ ↦ ?_) -- Porting note: this line was originally an `apply` simp only [Quot.liftOn_mk, Functor.comp_map] congr
import Mathlib.Combinatorics.SimpleGraph.Clique import Mathlib.Data.ENat.Lattice import Mathlib.Data.Nat.Lattice import Mathlib.Data.Setoid.Partition import Mathlib.Order.Antichain #align_import combinatorics.simple_graph.coloring from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open Fintype Function universe u v namespace SimpleGraph variable {V : Type u} (G : SimpleGraph V) {n : ℕ} abbrev Coloring (α : Type v) := G →g (⊤ : SimpleGraph α) #align simple_graph.coloring SimpleGraph.Coloring variable {G} {α β : Type*} (C : G.Coloring α) theorem Coloring.valid {v w : V} (h : G.Adj v w) : C v ≠ C w := C.map_rel h #align simple_graph.coloring.valid SimpleGraph.Coloring.valid @[match_pattern] def Coloring.mk (color : V → α) (valid : ∀ {v w : V}, G.Adj v w → color v ≠ color w) : G.Coloring α := ⟨color, @valid⟩ #align simple_graph.coloring.mk SimpleGraph.Coloring.mk def Coloring.colorClass (c : α) : Set V := { v : V | C v = c } #align simple_graph.coloring.color_class SimpleGraph.Coloring.colorClass def Coloring.colorClasses : Set (Set V) := (Setoid.ker C).classes #align simple_graph.coloring.color_classes SimpleGraph.Coloring.colorClasses theorem Coloring.mem_colorClass (v : V) : v ∈ C.colorClass (C v) := rfl #align simple_graph.coloring.mem_color_class SimpleGraph.Coloring.mem_colorClass theorem Coloring.colorClasses_isPartition : Setoid.IsPartition C.colorClasses := Setoid.isPartition_classes (Setoid.ker C) #align simple_graph.coloring.color_classes_is_partition SimpleGraph.Coloring.colorClasses_isPartition theorem Coloring.mem_colorClasses {v : V} : C.colorClass (C v) ∈ C.colorClasses := ⟨v, rfl⟩ #align simple_graph.coloring.mem_color_classes SimpleGraph.Coloring.mem_colorClasses theorem Coloring.colorClasses_finite [Finite α] : C.colorClasses.Finite := Setoid.finite_classes_ker _ #align simple_graph.coloring.color_classes_finite SimpleGraph.Coloring.colorClasses_finite theorem Coloring.card_colorClasses_le [Fintype α] [Fintype C.colorClasses] : Fintype.card C.colorClasses ≤ Fintype.card α := by simp [colorClasses] -- Porting note: brute force instance declaration `[Fintype (Setoid.classes (Setoid.ker C))]` haveI : Fintype (Setoid.classes (Setoid.ker C)) := by assumption convert Setoid.card_classes_ker_le C #align simple_graph.coloring.card_color_classes_le SimpleGraph.Coloring.card_colorClasses_le theorem Coloring.not_adj_of_mem_colorClass {c : α} {v w : V} (hv : v ∈ C.colorClass c) (hw : w ∈ C.colorClass c) : ¬G.Adj v w := fun h => C.valid h (Eq.trans hv (Eq.symm hw)) #align simple_graph.coloring.not_adj_of_mem_color_class SimpleGraph.Coloring.not_adj_of_mem_colorClass theorem Coloring.color_classes_independent (c : α) : IsAntichain G.Adj (C.colorClass c) := fun _ hv _ hw _ => C.not_adj_of_mem_colorClass hv hw #align simple_graph.coloring.color_classes_independent SimpleGraph.Coloring.color_classes_independent -- TODO make this computable noncomputable instance [Fintype V] [Fintype α] : Fintype (Coloring G α) := by classical change Fintype (RelHom G.Adj (⊤ : SimpleGraph α).Adj) apply Fintype.ofInjective _ RelHom.coe_fn_injective variable (G) def Colorable (n : ℕ) : Prop := Nonempty (G.Coloring (Fin n)) #align simple_graph.colorable SimpleGraph.Colorable def coloringOfIsEmpty [IsEmpty V] : G.Coloring α := Coloring.mk isEmptyElim fun {v} => isEmptyElim v #align simple_graph.coloring_of_is_empty SimpleGraph.coloringOfIsEmpty theorem colorable_of_isEmpty [IsEmpty V] (n : ℕ) : G.Colorable n := ⟨G.coloringOfIsEmpty⟩ #align simple_graph.colorable_of_is_empty SimpleGraph.colorable_of_isEmpty theorem isEmpty_of_colorable_zero (h : G.Colorable 0) : IsEmpty V := by constructor intro v obtain ⟨i, hi⟩ := h.some v exact Nat.not_lt_zero _ hi #align simple_graph.is_empty_of_colorable_zero SimpleGraph.isEmpty_of_colorable_zero def selfColoring : G.Coloring V := Coloring.mk id fun {_ _} => G.ne_of_adj #align simple_graph.self_coloring SimpleGraph.selfColoring noncomputable def chromaticNumber : ℕ∞ := ⨅ n ∈ setOf G.Colorable, (n : ℕ∞) #align simple_graph.chromatic_number SimpleGraph.chromaticNumber lemma chromaticNumber_eq_biInf {G : SimpleGraph V} : G.chromaticNumber = ⨅ n ∈ setOf G.Colorable, (n : ℕ∞) := rfl lemma chromaticNumber_eq_iInf {G : SimpleGraph V} : G.chromaticNumber = ⨅ n : {m | G.Colorable m}, (n : ℕ∞) := by rw [chromaticNumber, iInf_subtype] lemma Colorable.chromaticNumber_eq_sInf {G : SimpleGraph V} {n} (h : G.Colorable n) : G.chromaticNumber = sInf {n' : ℕ | G.Colorable n'} := by rw [ENat.coe_sInf, chromaticNumber] exact ⟨_, h⟩ def recolorOfEmbedding {α β : Type*} (f : α ↪ β) : G.Coloring α ↪ G.Coloring β where toFun C := (Embedding.completeGraph f).toHom.comp C inj' := by -- this was strangely painful; seems like missing lemmas about embeddings intro C C' h dsimp only at h ext v apply (Embedding.completeGraph f).inj' change ((Embedding.completeGraph f).toHom.comp C) v = _ rw [h] rfl #align simple_graph.recolor_of_embedding SimpleGraph.recolorOfEmbedding @[simp] lemma coe_recolorOfEmbedding (f : α ↪ β) : ⇑(G.recolorOfEmbedding f) = (Embedding.completeGraph f).toHom.comp := rfl def recolorOfEquiv {α β : Type*} (f : α ≃ β) : G.Coloring α ≃ G.Coloring β where toFun := G.recolorOfEmbedding f.toEmbedding invFun := G.recolorOfEmbedding f.symm.toEmbedding left_inv C := by ext v apply Equiv.symm_apply_apply right_inv C := by ext v apply Equiv.apply_symm_apply #align simple_graph.recolor_of_equiv SimpleGraph.recolorOfEquiv @[simp] lemma coe_recolorOfEquiv (f : α ≃ β) : ⇑(G.recolorOfEquiv f) = (Embedding.completeGraph f).toHom.comp := rfl noncomputable def recolorOfCardLE {α β : Type*} [Fintype α] [Fintype β] (hn : Fintype.card α ≤ Fintype.card β) : G.Coloring α ↪ G.Coloring β := G.recolorOfEmbedding <| (Function.Embedding.nonempty_of_card_le hn).some #align simple_graph.recolor_of_card_le SimpleGraph.recolorOfCardLE @[simp] lemma coe_recolorOfCardLE [Fintype α] [Fintype β] (hαβ : card α ≤ card β) : ⇑(G.recolorOfCardLE hαβ) = (Embedding.completeGraph (Embedding.nonempty_of_card_le hαβ).some).toHom.comp := rfl variable {G} theorem Colorable.mono {n m : ℕ} (h : n ≤ m) (hc : G.Colorable n) : G.Colorable m := ⟨G.recolorOfCardLE (by simp [h]) hc.some⟩ #align simple_graph.colorable.mono SimpleGraph.Colorable.mono theorem Coloring.colorable [Fintype α] (C : G.Coloring α) : G.Colorable (Fintype.card α) := ⟨G.recolorOfCardLE (by simp) C⟩ #align simple_graph.coloring.to_colorable SimpleGraph.Coloring.colorable theorem colorable_of_fintype (G : SimpleGraph V) [Fintype V] : G.Colorable (Fintype.card V) := G.selfColoring.colorable #align simple_graph.colorable_of_fintype SimpleGraph.colorable_of_fintype noncomputable def Colorable.toColoring [Fintype α] {n : ℕ} (hc : G.Colorable n) (hn : n ≤ Fintype.card α) : G.Coloring α := by rw [← Fintype.card_fin n] at hn exact G.recolorOfCardLE hn hc.some #align simple_graph.colorable.to_coloring SimpleGraph.Colorable.toColoring theorem Colorable.of_embedding {V' : Type*} {G' : SimpleGraph V'} (f : G ↪g G') {n : ℕ} (h : G'.Colorable n) : G.Colorable n := ⟨(h.toColoring (by simp)).comp f⟩ #align simple_graph.colorable.of_embedding SimpleGraph.Colorable.of_embedding theorem colorable_iff_exists_bdd_nat_coloring (n : ℕ) : G.Colorable n ↔ ∃ C : G.Coloring ℕ, ∀ v, C v < n := by constructor · rintro hc have C : G.Coloring (Fin n) := hc.toColoring (by simp) let f := Embedding.completeGraph (@Fin.valEmbedding n) use f.toHom.comp C intro v cases' C with color valid exact Fin.is_lt (color v) · rintro ⟨C, Cf⟩ refine ⟨Coloring.mk ?_ ?_⟩ · exact fun v => ⟨C v, Cf v⟩ · rintro v w hvw simp only [Fin.mk_eq_mk, Ne] exact C.valid hvw #align simple_graph.colorable_iff_exists_bdd_nat_coloring SimpleGraph.colorable_iff_exists_bdd_nat_coloring theorem colorable_set_nonempty_of_colorable {n : ℕ} (hc : G.Colorable n) : { n : ℕ | G.Colorable n }.Nonempty := ⟨n, hc⟩ #align simple_graph.colorable_set_nonempty_of_colorable SimpleGraph.colorable_set_nonempty_of_colorable theorem chromaticNumber_bddBelow : BddBelow { n : ℕ | G.Colorable n } := ⟨0, fun _ _ => zero_le _⟩ #align simple_graph.chromatic_number_bdd_below SimpleGraph.chromaticNumber_bddBelow theorem Colorable.chromaticNumber_le {n : ℕ} (hc : G.Colorable n) : G.chromaticNumber ≤ n := by rw [hc.chromaticNumber_eq_sInf] norm_cast apply csInf_le chromaticNumber_bddBelow exact hc #align simple_graph.chromatic_number_le_of_colorable SimpleGraph.Colorable.chromaticNumber_le theorem chromaticNumber_ne_top_iff_exists : G.chromaticNumber ≠ ⊤ ↔ ∃ n, G.Colorable n := by rw [chromaticNumber] convert_to ⨅ n : {m | G.Colorable m}, (n : ℕ∞) ≠ ⊤ ↔ _ · rw [iInf_subtype] rw [← lt_top_iff_ne_top, ENat.iInf_coe_lt_top] simp theorem chromaticNumber_le_iff_colorable {n : ℕ} : G.chromaticNumber ≤ n ↔ G.Colorable n := by refine ⟨fun h ↦ ?_, Colorable.chromaticNumber_le⟩ have : G.chromaticNumber ≠ ⊤ := (trans h (WithTop.coe_lt_top n)).ne rw [chromaticNumber_ne_top_iff_exists] at this obtain ⟨m, hm⟩ := this rw [hm.chromaticNumber_eq_sInf, Nat.cast_le] at h have := Nat.sInf_mem (⟨m, hm⟩ : {n' | G.Colorable n'}.Nonempty) rw [Set.mem_setOf_eq] at this exact this.mono h @[deprecated Colorable.chromaticNumber_le (since := "2024-03-21")] theorem chromaticNumber_le_card [Fintype α] (C : G.Coloring α) : G.chromaticNumber ≤ Fintype.card α := C.colorable.chromaticNumber_le #align simple_graph.chromatic_number_le_card SimpleGraph.chromaticNumber_le_card theorem colorable_chromaticNumber {m : ℕ} (hc : G.Colorable m) : G.Colorable (ENat.toNat G.chromaticNumber) := by classical rw [hc.chromaticNumber_eq_sInf, Nat.sInf_def] · apply Nat.find_spec · exact colorable_set_nonempty_of_colorable hc #align simple_graph.colorable_chromatic_number SimpleGraph.colorable_chromaticNumber theorem colorable_chromaticNumber_of_fintype (G : SimpleGraph V) [Finite V] : G.Colorable (ENat.toNat G.chromaticNumber) := by cases nonempty_fintype V exact colorable_chromaticNumber G.colorable_of_fintype #align simple_graph.colorable_chromatic_number_of_fintype SimpleGraph.colorable_chromaticNumber_of_fintype theorem chromaticNumber_le_one_of_subsingleton (G : SimpleGraph V) [Subsingleton V] : G.chromaticNumber ≤ 1 := by rw [← Nat.cast_one, chromaticNumber_le_iff_colorable] refine ⟨Coloring.mk (fun _ => 0) ?_⟩ intros v w cases Subsingleton.elim v w simp #align simple_graph.chromatic_number_le_one_of_subsingleton SimpleGraph.chromaticNumber_le_one_of_subsingleton theorem chromaticNumber_eq_zero_of_isempty (G : SimpleGraph V) [IsEmpty V] : G.chromaticNumber = 0 := by rw [← nonpos_iff_eq_zero, ← Nat.cast_zero, chromaticNumber_le_iff_colorable] apply colorable_of_isEmpty #align simple_graph.chromatic_number_eq_zero_of_isempty SimpleGraph.chromaticNumber_eq_zero_of_isempty theorem isEmpty_of_chromaticNumber_eq_zero (G : SimpleGraph V) [Finite V] (h : G.chromaticNumber = 0) : IsEmpty V := by have h' := G.colorable_chromaticNumber_of_fintype rw [h] at h' exact G.isEmpty_of_colorable_zero h' #align simple_graph.is_empty_of_chromatic_number_eq_zero SimpleGraph.isEmpty_of_chromaticNumber_eq_zero theorem chromaticNumber_pos [Nonempty V] {n : ℕ} (hc : G.Colorable n) : 0 < G.chromaticNumber := by rw [hc.chromaticNumber_eq_sInf, Nat.cast_pos] apply le_csInf (colorable_set_nonempty_of_colorable hc) intro m hm by_contra h' simp only [not_le] at h' obtain ⟨i, hi⟩ := hm.some (Classical.arbitrary V) have h₁: i < 0 := lt_of_lt_of_le hi (Nat.le_of_lt_succ h') exact Nat.not_lt_zero _ h₁ #align simple_graph.chromatic_number_pos SimpleGraph.chromaticNumber_pos theorem colorable_of_chromaticNumber_ne_top (h : G.chromaticNumber ≠ ⊤) : G.Colorable (ENat.toNat G.chromaticNumber) := by rw [chromaticNumber_ne_top_iff_exists] at h obtain ⟨n, hn⟩ := h exact colorable_chromaticNumber hn #align simple_graph.colorable_of_chromatic_number_pos SimpleGraph.colorable_of_chromaticNumber_ne_top theorem Colorable.mono_left {G' : SimpleGraph V} (h : G ≤ G') {n : ℕ} (hc : G'.Colorable n) : G.Colorable n := ⟨hc.some.comp (Hom.mapSpanningSubgraphs h)⟩ #align simple_graph.colorable.mono_left SimpleGraph.Colorable.mono_left theorem chromaticNumber_le_of_forall_imp {V' : Type*} {G' : SimpleGraph V'} (h : ∀ n, G'.Colorable n → G.Colorable n) : G.chromaticNumber ≤ G'.chromaticNumber := by rw [chromaticNumber, chromaticNumber] simp only [Set.mem_setOf_eq, le_iInf_iff] intro m hc have := h _ hc rw [← chromaticNumber_le_iff_colorable] at this exact this #align simple_graph.colorable.chromatic_number_le_of_forall_imp SimpleGraph.chromaticNumber_le_of_forall_imp theorem chromaticNumber_mono (G' : SimpleGraph V) (h : G ≤ G') : G.chromaticNumber ≤ G'.chromaticNumber := chromaticNumber_le_of_forall_imp fun _ => Colorable.mono_left h #align simple_graph.colorable.chromatic_number_mono SimpleGraph.chromaticNumber_mono theorem chromaticNumber_mono_of_embedding {V' : Type*} {G' : SimpleGraph V'} (f : G ↪g G') : G.chromaticNumber ≤ G'.chromaticNumber := chromaticNumber_le_of_forall_imp fun _ => Colorable.of_embedding f #align simple_graph.colorable.chromatic_number_mono_of_embedding SimpleGraph.chromaticNumber_mono_of_embedding lemma card_le_chromaticNumber_iff_forall_surjective [Fintype α] : card α ≤ G.chromaticNumber ↔ ∀ C : G.Coloring α, Surjective C := by refine ⟨fun h C ↦ ?_, fun h ↦ ?_⟩ · rw [C.colorable.chromaticNumber_eq_sInf, Nat.cast_le] at h intro i by_contra! hi let D : G.Coloring {a // a ≠ i} := ⟨fun v ↦ ⟨C v, hi v⟩, (C.valid · <| congr_arg Subtype.val ·)⟩ classical exact Nat.not_mem_of_lt_sInf ((Nat.pred_lt' <| card_pos_iff.2 ⟨i⟩).trans_le h) ⟨G.recolorOfEquiv (equivOfCardEq <| by simp [Nat.pred_eq_sub_one]) D⟩ · simp only [chromaticNumber, Set.mem_setOf_eq, le_iInf_iff, Nat.cast_le, exists_prop] rintro i ⟨C⟩ contrapose! h refine ⟨G.recolorOfCardLE (by simpa using h.le) C, fun hC ↦ ?_⟩ dsimp at hC simpa [h.not_le] using Fintype.card_le_of_surjective _ hC.of_comp lemma le_chromaticNumber_iff_forall_surjective : n ≤ G.chromaticNumber ↔ ∀ C : G.Coloring (Fin n), Surjective C := by simp [← card_le_chromaticNumber_iff_forall_surjective] lemma chromaticNumber_eq_card_iff_forall_surjective [Fintype α] (hG : G.Colorable (card α)) : G.chromaticNumber = card α ↔ ∀ C : G.Coloring α, Surjective C := by rw [← hG.chromaticNumber_le.ge_iff_eq, card_le_chromaticNumber_iff_forall_surjective] #align simple_graph.chromatic_number_eq_card_of_forall_surj SimpleGraph.chromaticNumber_eq_card_iff_forall_surjective lemma chromaticNumber_eq_iff_forall_surjective (hG : G.Colorable n) : G.chromaticNumber = n ↔ ∀ C : G.Coloring (Fin n), Surjective C := by rw [← hG.chromaticNumber_le.ge_iff_eq, le_chromaticNumber_iff_forall_surjective] theorem chromaticNumber_bot [Nonempty V] : (⊥ : SimpleGraph V).chromaticNumber = 1 := by have : (⊥ : SimpleGraph V).Colorable 1 := ⟨.mk 0 $ by simp⟩ exact this.chromaticNumber_le.antisymm $ ENat.one_le_iff_pos.2 $ chromaticNumber_pos this #align simple_graph.chromatic_number_bot SimpleGraph.chromaticNumber_bot @[simp] theorem chromaticNumber_top [Fintype V] : (⊤ : SimpleGraph V).chromaticNumber = Fintype.card V := by rw [chromaticNumber_eq_card_iff_forall_surjective (selfColoring _).colorable] intro C rw [← Finite.injective_iff_surjective] intro v w contrapose intro h exact C.valid h #align simple_graph.chromatic_number_top SimpleGraph.chromaticNumber_top theorem chromaticNumber_top_eq_top_of_infinite (V : Type*) [Infinite V] : (⊤ : SimpleGraph V).chromaticNumber = ⊤ := by by_contra hc rw [← Ne, chromaticNumber_ne_top_iff_exists] at hc obtain ⟨n, ⟨hn⟩⟩ := hc exact not_injective_infinite_finite _ hn.injective_of_top_hom #align simple_graph.chromatic_number_top_eq_zero_of_infinite SimpleGraph.chromaticNumber_top_eq_top_of_infinite def CompleteBipartiteGraph.bicoloring (V W : Type*) : (completeBipartiteGraph V W).Coloring Bool := Coloring.mk (fun v => v.isRight) (by intro v w cases v <;> cases w <;> simp) #align simple_graph.complete_bipartite_graph.bicoloring SimpleGraph.CompleteBipartiteGraph.bicoloring theorem CompleteBipartiteGraph.chromaticNumber {V W : Type*} [Nonempty V] [Nonempty W] : (completeBipartiteGraph V W).chromaticNumber = 2 := by rw [← Nat.cast_two, chromaticNumber_eq_iff_forall_surjective (by simpa using (CompleteBipartiteGraph.bicoloring V W).colorable)] intro C b have v := Classical.arbitrary V have w := Classical.arbitrary W have h : (completeBipartiteGraph V W).Adj (Sum.inl v) (Sum.inr w) := by simp by_cases he : C (Sum.inl v) = b · exact ⟨_, he⟩ by_cases he' : C (Sum.inr w) = b · exact ⟨_, he'⟩ · simpa using two_lt_card_iff.2 ⟨_, _, _, C.valid h, he, he'⟩ #align simple_graph.complete_bipartite_graph.chromatic_number SimpleGraph.CompleteBipartiteGraph.chromaticNumber theorem IsClique.card_le_of_coloring {s : Finset V} (h : G.IsClique s) [Fintype α] (C : G.Coloring α) : s.card ≤ Fintype.card α := by rw [isClique_iff_induce_eq] at h have f : G.induce ↑s ↪g G := Embedding.comap (Function.Embedding.subtype fun x => x ∈ ↑s) G rw [h] at f convert Fintype.card_le_of_injective _ (C.comp f.toHom).injective_of_top_hom using 1 simp #align simple_graph.is_clique.card_le_of_coloring SimpleGraph.IsClique.card_le_of_coloring
Mathlib/Combinatorics/SimpleGraph/Coloring.lean
475
478
theorem IsClique.card_le_of_colorable {s : Finset V} (h : G.IsClique s) {n : ℕ} (hc : G.Colorable n) : s.card ≤ n := by
convert h.card_le_of_coloring hc.some simp
import Mathlib.CategoryTheory.Preadditive.Basic #align_import category_theory.preadditive.functor_category from "leanprover-community/mathlib"@"829895f162a1f29d0133f4b3538f4cd1fb5bffd3" namespace CategoryTheory open CategoryTheory.Limits Preadditive variable {C D : Type*} [Category C] [Category D] [Preadditive D] instance {F G : C ⥤ D} : Zero (F ⟶ G) where zero := { app := fun X => 0 } instance {F G : C ⥤ D} : Add (F ⟶ G) where add α β := { app := fun X => α.app X + β.app X } instance {F G : C ⥤ D} : Neg (F ⟶ G) where neg α := { app := fun X => -α.app X } instance functorCategoryPreadditive : Preadditive (C ⥤ D) where homGroup F G := { nsmul := nsmulRec zsmul := zsmulRec sub := fun α β => { app := fun X => α.app X - β.app X } add_assoc := by intros ext apply add_assoc zero_add := by intros dsimp ext apply zero_add add_zero := by intros dsimp ext apply add_zero add_comm := by intros dsimp ext apply add_comm sub_eq_add_neg := by intros dsimp ext apply sub_eq_add_neg add_left_neg := by intros dsimp ext apply add_left_neg } add_comp := by intros dsimp ext apply add_comp comp_add := by intros dsimp ext apply comp_add #align category_theory.functor_category_preadditive CategoryTheory.functorCategoryPreadditive namespace NatTrans variable {F G : C ⥤ D} @[simps] def appHom (X : C) : (F ⟶ G) →+ (F.obj X ⟶ G.obj X) where toFun α := α.app X map_zero' := rfl map_add' _ _ := rfl #align category_theory.nat_trans.app_hom CategoryTheory.NatTrans.appHom @[simp] theorem app_zero (X : C) : (0 : F ⟶ G).app X = 0 := rfl #align category_theory.nat_trans.app_zero CategoryTheory.NatTrans.app_zero @[simp] theorem app_add (X : C) (α β : F ⟶ G) : (α + β).app X = α.app X + β.app X := rfl #align category_theory.nat_trans.app_add CategoryTheory.NatTrans.app_add @[simp] theorem app_sub (X : C) (α β : F ⟶ G) : (α - β).app X = α.app X - β.app X := rfl #align category_theory.nat_trans.app_sub CategoryTheory.NatTrans.app_sub @[simp] theorem app_neg (X : C) (α : F ⟶ G) : (-α).app X = -α.app X := rfl #align category_theory.nat_trans.app_neg CategoryTheory.NatTrans.app_neg @[simp] theorem app_nsmul (X : C) (α : F ⟶ G) (n : ℕ) : (n • α).app X = n • α.app X := (appHom X).map_nsmul α n #align category_theory.nat_trans.app_nsmul CategoryTheory.NatTrans.app_nsmul @[simp] theorem app_zsmul (X : C) (α : F ⟶ G) (n : ℤ) : (n • α).app X = n • α.app X := (appHom X : (F ⟶ G) →+ (F.obj X ⟶ G.obj X)).map_zsmul α n #align category_theory.nat_trans.app_zsmul CategoryTheory.NatTrans.app_zsmul @[simp]
Mathlib/CategoryTheory/Preadditive/FunctorCategory.lean
123
124
theorem app_units_zsmul (X : C) (α : F ⟶ G) (n : ℤˣ) : (n • α).app X = n • α.app X := by
apply app_zsmul
import Mathlib.Analysis.Convex.Gauge import Mathlib.Analysis.Convex.Normed open Metric Bornology Filter Set open scoped NNReal Topology Pointwise noncomputable section section Module variable {E : Type*} [AddCommGroup E] [Module ℝ E] def gaugeRescale (s t : Set E) (x : E) : E := (gauge s x / gauge t x) • x theorem gaugeRescale_def (s t : Set E) (x : E) : gaugeRescale s t x = (gauge s x / gauge t x) • x := rfl @[simp] theorem gaugeRescale_zero (s t : Set E) : gaugeRescale s t 0 = 0 := smul_zero _ theorem gaugeRescale_smul (s t : Set E) {c : ℝ} (hc : 0 ≤ c) (x : E) : gaugeRescale s t (c • x) = c • gaugeRescale s t x := by simp only [gaugeRescale, gauge_smul_of_nonneg hc, smul_smul, smul_eq_mul] rw [mul_div_mul_comm, mul_right_comm, div_self_mul_self] variable [TopologicalSpace E] [T1Space E] theorem gaugeRescale_self_apply {s : Set E} (hsa : Absorbent ℝ s) (hsb : IsVonNBounded ℝ s) (x : E) : gaugeRescale s s x = x := by rcases eq_or_ne x 0 with rfl | hx; · simp rw [gaugeRescale, div_self, one_smul] exact ((gauge_pos hsa hsb).2 hx).ne' theorem gaugeRescale_self {s : Set E} (hsa : Absorbent ℝ s) (hsb : IsVonNBounded ℝ s) : gaugeRescale s s = id := funext <| gaugeRescale_self_apply hsa hsb theorem gauge_gaugeRescale' (s : Set E) {t : Set E} {x : E} (hx : gauge t x ≠ 0) : gauge t (gaugeRescale s t x) = gauge s x := by rw [gaugeRescale, gauge_smul_of_nonneg (div_nonneg (gauge_nonneg _) (gauge_nonneg _)), smul_eq_mul, div_mul_cancel₀ _ hx] theorem gauge_gaugeRescale (s : Set E) {t : Set E} (hta : Absorbent ℝ t) (htb : IsVonNBounded ℝ t) (x : E) : gauge t (gaugeRescale s t x) = gauge s x := by rcases eq_or_ne x 0 with rfl | hx · simp · exact gauge_gaugeRescale' s ((gauge_pos hta htb).2 hx).ne' theorem gauge_gaugeRescale_le (s t : Set E) (x : E) : gauge t (gaugeRescale s t x) ≤ gauge s x := by by_cases hx : gauge t x = 0 · simp [gaugeRescale, hx, gauge_nonneg] · exact (gauge_gaugeRescale' s hx).le
Mathlib/Analysis/Convex/GaugeRescale.lean
75
80
theorem gaugeRescale_gaugeRescale {s t u : Set E} (hta : Absorbent ℝ t) (htb : IsVonNBounded ℝ t) (x : E) : gaugeRescale t u (gaugeRescale s t x) = gaugeRescale s u x := by
rcases eq_or_ne x 0 with rfl | hx; · simp rw [gaugeRescale_def s t x, gaugeRescale_smul, gaugeRescale, gaugeRescale, smul_smul, div_mul_div_cancel] exacts [((gauge_pos hta htb).2 hx).ne', div_nonneg (gauge_nonneg _) (gauge_nonneg _)]
import Mathlib.Algebra.Category.ModuleCat.Free import Mathlib.Topology.Category.Profinite.CofilteredLimit import Mathlib.Topology.Category.Profinite.Product import Mathlib.Topology.LocallyConstant.Algebra import Mathlib.Init.Data.Bool.Lemmas universe u namespace Profinite namespace NobelingProof variable {I : Type u} [LinearOrder I] [IsWellOrder I (·<·)] (C : Set (I → Bool)) open Profinite ContinuousMap CategoryTheory Limits Opposite Submodule section Projections variable (J K L : I → Prop) [∀ i, Decidable (J i)] [∀ i, Decidable (K i)] [∀ i, Decidable (L i)] def Proj : (I → Bool) → (I → Bool) := fun c i ↦ if J i then c i else false @[simp]
Mathlib/Topology/Category/Profinite/Nobeling.lean
92
99
theorem continuous_proj : Continuous (Proj J : (I → Bool) → (I → Bool)) := by
dsimp (config := { unfoldPartialApp := true }) [Proj] apply continuous_pi intro i split · apply continuous_apply · apply continuous_const
import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.SetTheory.Cardinal.Cofinality #align_import linear_algebra.basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" noncomputable section universe u open Function Set Submodule variable {ι : Type*} {ι' : Type*} {R : Type*} {R₂ : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable [Semiring R] variable [AddCommMonoid M] [Module R M] [AddCommMonoid M'] [Module R M'] section variable (ι R M) structure Basis where ofRepr :: repr : M ≃ₗ[R] ι →₀ R #align basis Basis #align basis.repr Basis.repr #align basis.of_repr Basis.ofRepr end instance uniqueBasis [Subsingleton R] : Unique (Basis ι R M) := ⟨⟨⟨default⟩⟩, fun ⟨b⟩ => by rw [Subsingleton.elim b]⟩ #align unique_basis uniqueBasis namespace Basis instance : Inhabited (Basis ι R (ι →₀ R)) := ⟨.ofRepr (LinearEquiv.refl _ _)⟩ variable (b b₁ : Basis ι R M) (i : ι) (c : R) (x : M) section repr theorem repr_injective : Injective (repr : Basis ι R M → M ≃ₗ[R] ι →₀ R) := fun f g h => by cases f; cases g; congr #align basis.repr_injective Basis.repr_injective instance instFunLike : FunLike (Basis ι R M) ι M where coe b i := b.repr.symm (Finsupp.single i 1) coe_injective' f g h := repr_injective <| LinearEquiv.symm_bijective.injective <| LinearEquiv.toLinearMap_injective <| by ext; exact congr_fun h _ #align basis.fun_like Basis.instFunLike @[simp] theorem coe_ofRepr (e : M ≃ₗ[R] ι →₀ R) : ⇑(ofRepr e) = fun i => e.symm (Finsupp.single i 1) := rfl #align basis.coe_of_repr Basis.coe_ofRepr protected theorem injective [Nontrivial R] : Injective b := b.repr.symm.injective.comp fun _ _ => (Finsupp.single_left_inj (one_ne_zero : (1 : R) ≠ 0)).mp #align basis.injective Basis.injective theorem repr_symm_single_one : b.repr.symm (Finsupp.single i 1) = b i := rfl #align basis.repr_symm_single_one Basis.repr_symm_single_one theorem repr_symm_single : b.repr.symm (Finsupp.single i c) = c • b i := calc b.repr.symm (Finsupp.single i c) = b.repr.symm (c • Finsupp.single i (1 : R)) := by { rw [Finsupp.smul_single', mul_one] } _ = c • b i := by rw [LinearEquiv.map_smul, repr_symm_single_one] #align basis.repr_symm_single Basis.repr_symm_single @[simp] theorem repr_self : b.repr (b i) = Finsupp.single i 1 := LinearEquiv.apply_symm_apply _ _ #align basis.repr_self Basis.repr_self theorem repr_self_apply (j) [Decidable (i = j)] : b.repr (b i) j = if i = j then 1 else 0 := by rw [repr_self, Finsupp.single_apply] #align basis.repr_self_apply Basis.repr_self_apply @[simp]
Mathlib/LinearAlgebra/Basis.lean
154
158
theorem repr_symm_apply (v) : b.repr.symm v = Finsupp.total ι M R b v := calc b.repr.symm v = b.repr.symm (v.sum Finsupp.single) := by
simp _ = v.sum fun i vi => b.repr.symm (Finsupp.single i vi) := map_finsupp_sum .. _ = Finsupp.total ι M R b v := by simp only [repr_symm_single, Finsupp.total_apply]
import Mathlib.Data.ULift import Mathlib.Data.ZMod.Defs import Mathlib.SetTheory.Cardinal.PartENat #align_import set_theory.cardinal.finite from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" set_option autoImplicit true open Cardinal Function noncomputable section variable {α β : Type*} namespace Nat protected def card (α : Type*) : ℕ := toNat (mk α) #align nat.card Nat.card @[simp] theorem card_eq_fintype_card [Fintype α] : Nat.card α = Fintype.card α := mk_toNat_eq_card #align nat.card_eq_fintype_card Nat.card_eq_fintype_card theorem _root_.Fintype.card_eq_nat_card {_ : Fintype α} : Fintype.card α = Nat.card α := mk_toNat_eq_card.symm lemma card_eq_finsetCard (s : Finset α) : Nat.card s = s.card := by simp only [Nat.card_eq_fintype_card, Fintype.card_coe] lemma card_eq_card_toFinset (s : Set α) [Fintype s] : Nat.card s = s.toFinset.card := by simp only [← Nat.card_eq_finsetCard, s.mem_toFinset] lemma card_eq_card_finite_toFinset {s : Set α} (hs : s.Finite) : Nat.card s = hs.toFinset.card := by simp only [← Nat.card_eq_finsetCard, hs.mem_toFinset] @[simp] theorem card_of_isEmpty [IsEmpty α] : Nat.card α = 0 := by simp [Nat.card] #align nat.card_of_is_empty Nat.card_of_isEmpty @[simp] lemma card_eq_zero_of_infinite [Infinite α] : Nat.card α = 0 := mk_toNat_of_infinite #align nat.card_eq_zero_of_infinite Nat.card_eq_zero_of_infinite lemma _root_.Set.Infinite.card_eq_zero {s : Set α} (hs : s.Infinite) : Nat.card s = 0 := @card_eq_zero_of_infinite _ hs.to_subtype lemma card_eq_zero : Nat.card α = 0 ↔ IsEmpty α ∨ Infinite α := by simp [Nat.card, mk_eq_zero_iff, aleph0_le_mk_iff] lemma card_ne_zero : Nat.card α ≠ 0 ↔ Nonempty α ∧ Finite α := by simp [card_eq_zero, not_or] lemma card_pos_iff : 0 < Nat.card α ↔ Nonempty α ∧ Finite α := by simp [Nat.card, mk_eq_zero_iff, mk_lt_aleph0_iff] @[simp] lemma card_pos [Nonempty α] [Finite α] : 0 < Nat.card α := card_pos_iff.2 ⟨‹_›, ‹_›⟩ theorem finite_of_card_ne_zero (h : Nat.card α ≠ 0) : Finite α := (card_ne_zero.1 h).2 #align nat.finite_of_card_ne_zero Nat.finite_of_card_ne_zero theorem card_congr (f : α ≃ β) : Nat.card α = Nat.card β := Cardinal.toNat_congr f #align nat.card_congr Nat.card_congr lemma card_le_card_of_injective {α : Type u} {β : Type v} [Finite β] (f : α → β) (hf : Injective f) : Nat.card α ≤ Nat.card β := by simpa using toNat_le_toNat (lift_mk_le_lift_mk_of_injective hf) (by simp [lt_aleph0_of_finite]) lemma card_le_card_of_surjective {α : Type u} {β : Type v} [Finite α] (f : α → β) (hf : Surjective f) : Nat.card β ≤ Nat.card α := by have : lift.{u} #β ≤ lift.{v} #α := mk_le_of_surjective (ULift.map_surjective.2 hf) simpa using toNat_le_toNat this (by simp [lt_aleph0_of_finite]) theorem card_eq_of_bijective (f : α → β) (hf : Function.Bijective f) : Nat.card α = Nat.card β := card_congr (Equiv.ofBijective f hf) #align nat.card_eq_of_bijective Nat.card_eq_of_bijective theorem card_eq_of_equiv_fin {α : Type*} {n : ℕ} (f : α ≃ Fin n) : Nat.card α = n := by simpa only [card_eq_fintype_card, Fintype.card_fin] using card_congr f #align nat.card_eq_of_equiv_fin Nat.card_eq_of_equiv_fin def equivFinOfCardPos {α : Type*} (h : Nat.card α ≠ 0) : α ≃ Fin (Nat.card α) := by cases fintypeOrInfinite α · simpa only [card_eq_fintype_card] using Fintype.equivFin α · simp only [card_eq_zero_of_infinite, ne_eq, not_true_eq_false] at h #align nat.equiv_fin_of_card_pos Nat.equivFinOfCardPos theorem card_of_subsingleton (a : α) [Subsingleton α] : Nat.card α = 1 := by letI := Fintype.ofSubsingleton a rw [card_eq_fintype_card, Fintype.card_ofSubsingleton a] #align nat.card_of_subsingleton Nat.card_of_subsingleton -- @[simp] -- Porting note (#10618): simp can prove this theorem card_unique [Unique α] : Nat.card α = 1 := card_of_subsingleton default #align nat.card_unique Nat.card_unique theorem card_eq_one_iff_unique : Nat.card α = 1 ↔ Subsingleton α ∧ Nonempty α := Cardinal.toNat_eq_one_iff_unique #align nat.card_eq_one_iff_unique Nat.card_eq_one_iff_unique theorem card_eq_two_iff : Nat.card α = 2 ↔ ∃ x y : α, x ≠ y ∧ {x, y} = @Set.univ α := toNat_eq_ofNat.trans mk_eq_two_iff #align nat.card_eq_two_iff Nat.card_eq_two_iff theorem card_eq_two_iff' (x : α) : Nat.card α = 2 ↔ ∃! y, y ≠ x := toNat_eq_ofNat.trans (mk_eq_two_iff' x) #align nat.card_eq_two_iff' Nat.card_eq_two_iff' @[simp] theorem card_sum [Finite α] [Finite β] : Nat.card (α ⊕ β) = Nat.card α + Nat.card β := by have := Fintype.ofFinite α have := Fintype.ofFinite β simp_rw [Nat.card_eq_fintype_card, Fintype.card_sum] @[simp] theorem card_prod (α β : Type*) : Nat.card (α × β) = Nat.card α * Nat.card β := by simp only [Nat.card, mk_prod, toNat_mul, toNat_lift] #align nat.card_prod Nat.card_prod @[simp] theorem card_ulift (α : Type*) : Nat.card (ULift α) = Nat.card α := card_congr Equiv.ulift #align nat.card_ulift Nat.card_ulift @[simp] theorem card_plift (α : Type*) : Nat.card (PLift α) = Nat.card α := card_congr Equiv.plift #align nat.card_plift Nat.card_plift theorem card_pi {β : α → Type*} [Fintype α] : Nat.card (∀ a, β a) = ∏ a, Nat.card (β a) := by simp_rw [Nat.card, mk_pi, prod_eq_of_fintype, toNat_lift, map_prod] #align nat.card_pi Nat.card_pi
Mathlib/SetTheory/Cardinal/Finite.lean
191
193
theorem card_fun [Finite α] : Nat.card (α → β) = Nat.card β ^ Nat.card α := by
haveI := Fintype.ofFinite α rw [Nat.card_pi, Finset.prod_const, Finset.card_univ, ← Nat.card_eq_fintype_card]
import Mathlib.Algebra.Group.Embedding import Mathlib.Data.Fin.Basic import Mathlib.Data.Finset.Union #align_import data.finset.image from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- TODO -- assert_not_exists OrderedCommMonoid assert_not_exists MonoidWithZero assert_not_exists MulAction variable {α β γ : Type*} open Multiset open Function namespace Finset section Map open Function def map (f : α ↪ β) (s : Finset α) : Finset β := ⟨s.1.map f, s.2.map f.2⟩ #align finset.map Finset.map @[simp] theorem map_val (f : α ↪ β) (s : Finset α) : (map f s).1 = s.1.map f := rfl #align finset.map_val Finset.map_val @[simp] theorem map_empty (f : α ↪ β) : (∅ : Finset α).map f = ∅ := rfl #align finset.map_empty Finset.map_empty variable {f : α ↪ β} {s : Finset α} @[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b := Multiset.mem_map #align finset.mem_map Finset.mem_map -- Porting note: Higher priority to apply before `mem_map`. @[simp 1100]
Mathlib/Data/Finset/Image.lean
81
86
theorem mem_map_equiv {f : α ≃ β} {b : β} : b ∈ s.map f.toEmbedding ↔ f.symm b ∈ s := by
rw [mem_map] exact ⟨by rintro ⟨a, H, rfl⟩ simpa, fun h => ⟨_, h, by simp⟩⟩
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Data.Fintype.Basic import Mathlib.Data.Int.GCD import Mathlib.RingTheory.Coprime.Basic #align_import ring_theory.coprime.lemmas from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226" universe u v section IsCoprime variable {R : Type u} {I : Type v} [CommSemiring R] {x y z : R} {s : I → R} {t : Finset I} section theorem Int.isCoprime_iff_gcd_eq_one {m n : ℤ} : IsCoprime m n ↔ Int.gcd m n = 1 := by constructor · rintro ⟨a, b, h⟩ have : 1 = m * a + n * b := by rwa [mul_comm m, mul_comm n, eq_comm] exact Nat.dvd_one.mp (Int.gcd_dvd_iff.mpr ⟨a, b, this⟩) · rw [← Int.ofNat_inj, IsCoprime, Int.gcd_eq_gcd_ab, mul_comm m, mul_comm n, Nat.cast_one] intro h exact ⟨_, _, h⟩ theorem Nat.isCoprime_iff_coprime {m n : ℕ} : IsCoprime (m : ℤ) n ↔ Nat.Coprime m n := by rw [Int.isCoprime_iff_gcd_eq_one, Int.gcd_natCast_natCast] #align nat.is_coprime_iff_coprime Nat.isCoprime_iff_coprime alias ⟨IsCoprime.nat_coprime, Nat.Coprime.isCoprime⟩ := Nat.isCoprime_iff_coprime #align is_coprime.nat_coprime IsCoprime.nat_coprime #align nat.coprime.is_coprime Nat.Coprime.isCoprime theorem Nat.Coprime.cast {R : Type*} [CommRing R] {a b : ℕ} (h : Nat.Coprime a b) : IsCoprime (a : R) (b : R) := by rw [← isCoprime_iff_coprime] at h rw [← Int.cast_natCast a, ← Int.cast_natCast b] exact IsCoprime.intCast h theorem ne_zero_or_ne_zero_of_nat_coprime {A : Type u} [CommRing A] [Nontrivial A] {a b : ℕ} (h : Nat.Coprime a b) : (a : A) ≠ 0 ∨ (b : A) ≠ 0 := IsCoprime.ne_zero_or_ne_zero (R := A) <| by simpa only [map_natCast] using IsCoprime.map (Nat.Coprime.isCoprime h) (Int.castRingHom A)
Mathlib/RingTheory/Coprime/Lemmas.lean
61
66
theorem IsCoprime.prod_left : (∀ i ∈ t, IsCoprime (s i) x) → IsCoprime (∏ i ∈ t, s i) x := by
classical refine Finset.induction_on t (fun _ ↦ isCoprime_one_left) fun b t hbt ih H ↦ ?_ rw [Finset.prod_insert hbt] rw [Finset.forall_mem_insert] at H exact H.1.mul_left (ih H.2)
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image]) #align convex_independent.comp_embedding ConvexIndependent.comp_embedding protected theorem ConvexIndependent.subtype {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) : ConvexIndependent 𝕜 fun i : s => p i := hc.comp_embedding (Embedding.subtype _) #align convex_independent.subtype ConvexIndependent.subtype protected theorem ConvexIndependent.range {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) := by let f : Set.range p → ι := fun x => x.property.choose have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩ convert hc.comp_embedding fe ext rw [Embedding.coeFn_mk, comp_apply, hf] #align convex_independent.range ConvexIndependent.range protected theorem ConvexIndependent.mono {s t : Set E} (hc : ConvexIndependent 𝕜 ((↑) : t → E)) (hs : s ⊆ t) : ConvexIndependent 𝕜 ((↑) : s → E) := hc.comp_embedding (s.embeddingOfSubset t hs) #align convex_independent.mono ConvexIndependent.mono theorem Function.Injective.convexIndependent_iff_set {p : ι → E} (hi : Function.Injective p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) ↔ ConvexIndependent 𝕜 p := ⟨fun hc => hc.comp_embedding (⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ : ι ↪ Set.range p), ConvexIndependent.range⟩ #align function.injective.convex_independent_iff_set Function.Injective.convexIndependent_iff_set @[simp] protected theorem ConvexIndependent.mem_convexHull_iff {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) (i : ι) : p i ∈ convexHull 𝕜 (p '' s) ↔ i ∈ s := ⟨hc _ _, fun hi => subset_convexHull 𝕜 _ (Set.mem_image_of_mem p hi)⟩ #align convex_independent.mem_convex_hull_iff ConvexIndependent.mem_convexHull_iff theorem convexIndependent_iff_not_mem_convexHull_diff {p : ι → E} : ConvexIndependent 𝕜 p ↔ ∀ i s, p i ∉ convexHull 𝕜 (p '' (s \ {i})) := by refine ⟨fun hc i s h => ?_, fun h s i hi => ?_⟩ · rw [hc.mem_convexHull_iff] at h exact h.2 (Set.mem_singleton _) · by_contra H refine h i s ?_ rw [Set.diff_singleton_eq_self H] exact hi #align convex_independent_iff_not_mem_convex_hull_diff convexIndependent_iff_not_mem_convexHull_diff
Mathlib/Analysis/Convex/Independent.lean
144
153
theorem convexIndependent_set_iff_inter_convexHull_subset {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ t, t ⊆ s → s ∩ convexHull 𝕜 t ⊆ t := by
constructor · rintro hc t h x ⟨hxs, hxt⟩ refine hc { x | ↑x ∈ t } ⟨x, hxs⟩ ?_ rw [Subtype.coe_image_of_subset h] exact hxt · intro hc t x h rw [← Subtype.coe_injective.mem_set_image] exact hc (t.image ((↑) : s → E)) (Subtype.coe_image_subset s t) ⟨x.prop, h⟩
import Mathlib.RingTheory.Ideal.Cotangent import Mathlib.RingTheory.QuotientNilpotent import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.RingTheory.FinitePresentation import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Localization.Away.AdjoinRoot #align_import ring_theory.etale from "leanprover-community/mathlib"@"73f96237417835f148a1f7bc1ff55f67119b7166" -- Porting note: added to make the syntax work below. open scoped TensorProduct universe u namespace Algebra section variable (R : Type u) [CommSemiring R] variable (A : Type u) [Semiring A] [Algebra R A] @[mk_iff] class FormallySmooth : Prop where comp_surjective : ∀ ⦃B : Type u⦄ [CommRing B], ∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥), Function.Surjective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I) #align algebra.formally_smooth Algebra.FormallySmooth end namespace FormallySmooth section variable {R : Type u} [CommSemiring R] variable {A : Type u} [Semiring A] [Algebra R A] variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B)
Mathlib/RingTheory/Smooth/Basic.lean
68
88
theorem exists_lift {B : Type u} [CommRing B] [_RB : Algebra R B] [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I) (g : A →ₐ[R] B ⧸ I) : ∃ f : A →ₐ[R] B, (Ideal.Quotient.mkₐ R I).comp f = g := by
revert g change Function.Surjective (Ideal.Quotient.mkₐ R I).comp revert _RB apply Ideal.IsNilpotent.induction_on (R := B) I hI · intro B _ I hI _; exact FormallySmooth.comp_surjective I hI · intro B _ I J hIJ h₁ h₂ _ g let this : ((B ⧸ I) ⧸ J.map (Ideal.Quotient.mk I)) ≃ₐ[R] B ⧸ J := { (DoubleQuot.quotQuotEquivQuotSup I J).trans (Ideal.quotEquivOfEq (sup_eq_right.mpr hIJ)) with commutes' := fun x => rfl } obtain ⟨g', e⟩ := h₂ (this.symm.toAlgHom.comp g) obtain ⟨g', rfl⟩ := h₁ g' replace e := congr_arg this.toAlgHom.comp e conv_rhs at e => rw [← AlgHom.comp_assoc, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.comp_symm, AlgHom.id_comp] exact ⟨g', e⟩
import Mathlib.Analysis.BoxIntegral.DivergenceTheorem import Mathlib.Analysis.BoxIntegral.Integrability import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Integral.IntervalIntegral import Mathlib.Analysis.Calculus.FDeriv.Equiv #align_import measure_theory.integral.divergence_theorem from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Set Finset TopologicalSpace Function BoxIntegral MeasureTheory Filter open scoped Classical Topology Interval universe u namespace MeasureTheory variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] section variable {n : ℕ} local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t) local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t) local notation "e " i => Pi.single i 1 section
Mathlib/MeasureTheory/Integral/DivergenceTheorem.lean
111
137
theorem integral_divergence_of_hasFDerivWithinAt_off_countable_aux₁ (I : Box (Fin (n + 1))) (f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : Set ℝⁿ⁺¹) (hs : s.Countable) (Hc : ContinuousOn f (Box.Icc I)) (Hd : ∀ x ∈ (Box.Icc I) \ s, HasFDerivWithinAt f (f' x) (Box.Icc I) x) (Hi : IntegrableOn (fun x => ∑ i, f' x (e i) i) (Box.Icc I)) : (∫ x in Box.Icc I, ∑ i, f' x (e i) i) = ∑ i : Fin (n + 1), ((∫ x in Box.Icc (I.face i), f (i.insertNth (I.upper i) x) i) - ∫ x in Box.Icc (I.face i), f (i.insertNth (I.lower i) x) i) := by
simp only [← setIntegral_congr_set_ae (Box.coe_ae_eq_Icc _)] have A := (Hi.mono_set Box.coe_subset_Icc).hasBoxIntegral ⊥ rfl have B := hasIntegral_GP_divergence_of_forall_hasDerivWithinAt I f f' (s ∩ Box.Icc I) (hs.mono inter_subset_left) (fun x hx => Hc _ hx.2) fun x hx => Hd _ ⟨hx.1, fun h => hx.2 ⟨h, hx.1⟩⟩ rw [continuousOn_pi] at Hc refine (A.unique B).trans (sum_congr rfl fun i _ => ?_) refine congr_arg₂ Sub.sub ?_ ?_ · have := Box.continuousOn_face_Icc (Hc i) (Set.right_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq · have := Box.continuousOn_face_Icc (Hc i) (Set.left_mem_Icc.2 (I.lower_le_upper i)) have := (this.integrableOn_compact (μ := volume) (Box.isCompact_Icc _)).mono_set Box.coe_subset_Icc exact (this.hasBoxIntegral ⊥ rfl).integral_eq
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Group.Hom.Defs #align_import algebra.hom.group from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64" -- `NeZero` cannot be additivised, hence its theory should be developed outside of the -- `Algebra.Group` folder. assert_not_exists NeZero variable {α β M N P : Type*} -- monoids variable {G : Type*} {H : Type*} -- groups variable {F : Type*} namespace MonoidHom section InvDiv variable [MulOneClass M] [MulOneClass N] [CommGroup G] [CommGroup H] @[to_additive "If `f` is an additive monoid homomorphism to an additive commutative group, then `-f` is the homomorphism sending `x` to `-(f x)`."] instance : Inv (M →* G) where inv f := mk' (fun g ↦ (f g)⁻¹) fun a b ↦ by simp_rw [← mul_inv, f.map_mul] @[to_additive (attr := simp)] lemma inv_apply (f : M →* G) (x : M) : f⁻¹ x = (f x)⁻¹ := rfl #align monoid_hom.inv_apply MonoidHom.inv_apply #align add_monoid_hom.neg_apply AddMonoidHom.neg_apply @[to_additive (attr := simp)] theorem inv_comp (φ : N →* G) (ψ : M →* N) : φ⁻¹.comp ψ = (φ.comp ψ)⁻¹ := rfl #align monoid_hom.inv_comp MonoidHom.inv_comp #align add_monoid_hom.neg_comp AddMonoidHom.neg_comp @[to_additive (attr := simp)]
Mathlib/Algebra/Group/Hom/Basic.lean
252
254
theorem comp_inv (φ : G →* H) (ψ : M →* G) : φ.comp ψ⁻¹ = (φ.comp ψ)⁻¹ := by
ext simp only [Function.comp_apply, inv_apply, map_inv, coe_comp]
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 $pc) : Expr)⟩ theorem mul_zero (a : R) : a * 0 = 0 := by simp theorem mul_add (_ : (a : R) * b₁ = c₁) (_ : a * b₂ = c₂) (_ : c₁ + 0 + c₂ = d) : a * (b₁ + b₂) = d := by subst_vars; simp [_root_.mul_add] def evalMul₁ (va : ExProd sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a * $b) := match vb with | .zero => ⟨_, .zero, q(mul_zero $a)⟩ | .add vb₁ vb₂ => let ⟨_, vc₁, pc₁⟩ := evalMulProd sα va vb₁ let ⟨_, vc₂, pc₂⟩ := evalMul₁ va vb₂ let ⟨_, vd, pd⟩ := evalAdd sα vc₁.toSum vc₂ ⟨_, vd, q(mul_add $pc₁ $pc₂ $pd)⟩ theorem zero_mul (b : R) : 0 * b = 0 := by simp theorem add_mul (_ : (a₁ : R) * b = c₁) (_ : a₂ * b = c₂) (_ : c₁ + c₂ = d) : (a₁ + a₂) * b = d := by subst_vars; simp [_root_.add_mul] def evalMul (va : ExSum sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a * $b) := match va with | .zero => ⟨_, .zero, q(zero_mul $b)⟩ | .add va₁ va₂ => let ⟨_, vc₁, pc₁⟩ := evalMul₁ sα va₁ vb let ⟨_, vc₂, pc₂⟩ := evalMul va₂ vb let ⟨_, vd, pd⟩ := evalAdd sα vc₁ vc₂ ⟨_, vd, q(add_mul $pc₁ $pc₂ $pd)⟩ theorem natCast_nat (n) : ((Nat.rawCast n : ℕ) : R) = Nat.rawCast n := by simp theorem natCast_mul (a₂) (_ : ((a₁ : ℕ) : R) = b₁) (_ : ((a₃ : ℕ) : R) = b₃) : ((a₁ ^ a₂ * a₃ : ℕ) : R) = b₁ ^ a₂ * b₃ := by subst_vars; simp theorem natCast_zero : ((0 : ℕ) : R) = 0 := Nat.cast_zero theorem natCast_add (_ : ((a₁ : ℕ) : R) = b₁) (_ : ((a₂ : ℕ) : R) = b₂) : ((a₁ + a₂ : ℕ) : R) = b₁ + b₂ := by subst_vars; simp mutual partial def ExBase.evalNatCast (va : ExBase sℕ a) : AtomM (Result (ExBase sα) q($a)) := match va with | .atom _ => do let a' : Q($α) := q($a) let i ← addAtom a' pure ⟨a', ExBase.atom i, (q(Eq.refl $a') : Expr)⟩ | .sum va => do let ⟨_, vc, p⟩ ← va.evalNatCast pure ⟨_, .sum vc, p⟩ partial def ExProd.evalNatCast (va : ExProd sℕ a) : AtomM (Result (ExProd sα) q($a)) := match va with | .const c hc => have n : Q(ℕ) := a.appArg! pure ⟨q(Nat.rawCast $n), .const c hc, (q(natCast_nat (R := $α) $n) : Expr)⟩ | .mul (e := a₂) va₁ va₂ va₃ => do let ⟨_, vb₁, pb₁⟩ ← va₁.evalNatCast let ⟨_, vb₃, pb₃⟩ ← va₃.evalNatCast pure ⟨_, .mul vb₁ va₂ vb₃, q(natCast_mul $a₂ $pb₁ $pb₃)⟩ partial def ExSum.evalNatCast (va : ExSum sℕ a) : AtomM (Result (ExSum sα) q($a)) := match va with | .zero => pure ⟨_, .zero, q(natCast_zero (R := $α))⟩ | .add va₁ va₂ => do let ⟨_, vb₁, pb₁⟩ ← va₁.evalNatCast let ⟨_, vb₂, pb₂⟩ ← va₂.evalNatCast pure ⟨_, .add vb₁ vb₂, q(natCast_add $pb₁ $pb₂)⟩ end theorem smul_nat (_ : (a * b : ℕ) = c) : a • b = c := by subst_vars; simp theorem smul_eq_cast (_ : ((a : ℕ) : R) = a') (_ : a' * b = c) : a • b = c := by subst_vars; simp def evalNSMul (va : ExSum sℕ a) (vb : ExSum sα b) : AtomM (Result (ExSum sα) q($a • $b)) := do if ← isDefEq sα sℕ then let ⟨_, va'⟩ := va.cast have _b : Q(ℕ) := b let ⟨(_c : Q(ℕ)), vc, (pc : Q($a * $_b = $_c))⟩ := evalMul sα va' vb pure ⟨_, vc, (q(smul_nat $pc) : Expr)⟩ else let ⟨_, va', pa'⟩ ← va.evalNatCast sα let ⟨_, vc, pc⟩ := evalMul sα va' vb pure ⟨_, vc, (q(smul_eq_cast $pa' $pc) : Expr)⟩ theorem neg_one_mul {R} [Ring R] {a b : R} (_ : (Int.negOfNat (nat_lit 1)).rawCast * a = b) : -a = b := by subst_vars; simp [Int.negOfNat] theorem neg_mul {R} [Ring R] (a₁ : R) (a₂) {a₃ b : R} (_ : -a₃ = b) : -(a₁ ^ a₂ * a₃) = a₁ ^ a₂ * b := by subst_vars; simp def evalNegProd (rα : Q(Ring $α)) (va : ExProd sα a) : Result (ExProd sα) q(-$a) := match va with | .const za ha => let lit : Q(ℕ) := mkRawNatLit 1 let ⟨m1, _⟩ := ExProd.mkNegNat sα rα 1 let rm := Result.isNegNat rα lit (q(IsInt.of_raw $α (.negOfNat $lit)) : Expr) let ra := Result.ofRawRat za a ha let rb := (NormNum.evalMul.core q($m1 * $a) q(HMul.hMul) _ _ q(CommSemiring.toSemiring) rm ra).get! let ⟨zb, hb⟩ := rb.toRatNZ.get! let ⟨b, (pb : Q((Int.negOfNat (nat_lit 1)).rawCast * $a = $b))⟩ := rb.toRawEq ⟨b, .const zb hb, (q(neg_one_mul (R := $α) $pb) : Expr)⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃ => let ⟨_, vb, pb⟩ := evalNegProd rα va₃ ⟨_, .mul va₁ va₂ vb, (q(neg_mul $a₁ $a₂ $pb) : Expr)⟩ theorem neg_zero {R} [Ring R] : -(0 : R) = 0 := by simp theorem neg_add {R} [Ring R] {a₁ a₂ b₁ b₂ : R} (_ : -a₁ = b₁) (_ : -a₂ = b₂) : -(a₁ + a₂) = b₁ + b₂ := by subst_vars; simp [add_comm] def evalNeg (rα : Q(Ring $α)) (va : ExSum sα a) : Result (ExSum sα) q(-$a) := match va with | .zero => ⟨_, .zero, (q(neg_zero (R := $α)) : Expr)⟩ | .add va₁ va₂ => let ⟨_, vb₁, pb₁⟩ := evalNegProd sα rα va₁ let ⟨_, vb₂, pb₂⟩ := evalNeg rα va₂ ⟨_, .add vb₁ vb₂, (q(neg_add $pb₁ $pb₂) : Expr)⟩ theorem sub_pf {R} [Ring R] {a b c d : R} (_ : -b = c) (_ : a + c = d) : a - b = d := by subst_vars; simp [sub_eq_add_neg] def evalSub (rα : Q(Ring $α)) (va : ExSum sα a) (vb : ExSum sα b) : Result (ExSum sα) q($a - $b) := let ⟨_c, vc, pc⟩ := evalNeg sα rα vb let ⟨d, vd, (pd : Q($a + $_c = $d))⟩ := evalAdd sα va vc ⟨d, vd, (q(sub_pf $pc $pd) : Expr)⟩ theorem pow_prod_atom (a : R) (b) : a ^ b = (a + 0) ^ b * (nat_lit 1).rawCast := by simp def evalPowProdAtom (va : ExProd sα a) (vb : ExProd sℕ b) : Result (ExProd sα) q($a ^ $b) := ⟨_, (ExBase.sum va.toSum).toProd vb, q(pow_prod_atom $a $b)⟩ theorem pow_atom (a : R) (b) : a ^ b = a ^ b * (nat_lit 1).rawCast + 0 := by simp def evalPowAtom (va : ExBase sα a) (vb : ExProd sℕ b) : Result (ExSum sα) q($a ^ $b) := ⟨_, (va.toProd vb).toSum, q(pow_atom $a $b)⟩ theorem const_pos (n : ℕ) (h : Nat.ble 1 n = true) : 0 < (n.rawCast : ℕ) := Nat.le_of_ble_eq_true h theorem mul_exp_pos (n) (h₁ : 0 < a₁) (h₂ : 0 < a₂) : 0 < a₁ ^ n * a₂ := Nat.mul_pos (Nat.pos_pow_of_pos _ h₁) h₂ theorem add_pos_left (a₂) (h : 0 < a₁) : 0 < a₁ + a₂ := Nat.lt_of_lt_of_le h (Nat.le_add_right ..) theorem add_pos_right (a₁) (h : 0 < a₂) : 0 < a₁ + a₂ := Nat.lt_of_lt_of_le h (Nat.le_add_left ..) mutual partial def ExBase.evalPos (va : ExBase sℕ a) : Option Q(0 < $a) := match va with | .atom _ => none | .sum va => va.evalPos partial def ExProd.evalPos (va : ExProd sℕ a) : Option Q(0 < $a) := match va with | .const _ _ => -- it must be positive because it is a nonzero nat literal have lit : Q(ℕ) := a.appArg! haveI : $a =Q Nat.rawCast $lit := ⟨⟩ haveI p : Nat.ble 1 $lit =Q true := ⟨⟩ some q(const_pos $lit $p) | .mul (e := ea₁) vxa₁ _ va₂ => do let pa₁ ← vxa₁.evalPos let pa₂ ← va₂.evalPos some q(mul_exp_pos $ea₁ $pa₁ $pa₂) partial def ExSum.evalPos (va : ExSum sℕ a) : Option Q(0 < $a) := match va with | .zero => none | .add (a := a₁) (b := a₂) va₁ va₂ => do match va₁.evalPos with | some p => some q(add_pos_left $a₂ $p) | none => let p ← va₂.evalPos; some q(add_pos_right $a₁ $p) end theorem pow_one (a : R) : a ^ nat_lit 1 = a := by simp theorem pow_bit0 (_ : (a : R) ^ k = b) (_ : b * b = c) : a ^ (Nat.mul (nat_lit 2) k) = c := by subst_vars; simp [Nat.succ_mul, pow_add] theorem pow_bit1 (_ : (a : R) ^ k = b) (_ : b * b = c) (_ : c * a = d) : a ^ (Nat.add (Nat.mul (nat_lit 2) k) (nat_lit 1)) = d := by subst_vars; simp [Nat.succ_mul, pow_add] partial def evalPowNat (va : ExSum sα a) (n : Q(ℕ)) : Result (ExSum sα) q($a ^ $n) := let nn := n.natLit! if nn = 1 then ⟨_, va, (q(pow_one $a) : Expr)⟩ else let nm := nn >>> 1 have m : Q(ℕ) := mkRawNatLit nm if nn &&& 1 = 0 then let ⟨_, vb, pb⟩ := evalPowNat va m let ⟨_, vc, pc⟩ := evalMul sα vb vb ⟨_, vc, (q(pow_bit0 $pb $pc) : Expr)⟩ else let ⟨_, vb, pb⟩ := evalPowNat va m let ⟨_, vc, pc⟩ := evalMul sα vb vb let ⟨_, vd, pd⟩ := evalMul sα vc va ⟨_, vd, (q(pow_bit1 $pb $pc $pd) : Expr)⟩ theorem one_pow (b : ℕ) : ((nat_lit 1).rawCast : R) ^ b = (nat_lit 1).rawCast := by simp theorem mul_pow (_ : ea₁ * b = c₁) (_ : a₂ ^ b = c₂) : (xa₁ ^ ea₁ * a₂ : R) ^ b = xa₁ ^ c₁ * c₂ := by subst_vars; simp [_root_.mul_pow, pow_mul] def evalPowProd (va : ExProd sα a) (vb : ExProd sℕ b) : Result (ExProd sα) q($a ^ $b) := let res : Option (Result (ExProd sα) q($a ^ $b)) := do match va, vb with | .const 1, _ => some ⟨_, va, (q(one_pow (R := $α) $b) : Expr)⟩ | .const za ha, .const zb hb => assert! 0 ≤ zb let ra := Result.ofRawRat za a ha have lit : Q(ℕ) := b.appArg! let rb := (q(IsNat.of_raw ℕ $lit) : Expr) let rc ← NormNum.evalPow.core q($a ^ $b) q(HPow.hPow) q($a) q($b) lit rb q(CommSemiring.toSemiring) ra let ⟨zc, hc⟩ ← rc.toRatNZ let ⟨c, pc⟩ := rc.toRawEq some ⟨c, .const zc hc, pc⟩ | .mul vxa₁ vea₁ va₂, vb => do let ⟨_, vc₁, pc₁⟩ := evalMulProd sℕ vea₁ vb let ⟨_, vc₂, pc₂⟩ := evalPowProd va₂ vb some ⟨_, .mul vxa₁ vc₁ vc₂, q(mul_pow $pc₁ $pc₂)⟩ | _, _ => none res.getD (evalPowProdAtom sα va vb) structure ExtractCoeff (e : Q(ℕ)) where k : Q(ℕ) e' : Q(ℕ) ve' : ExProd sℕ e' p : Q($e = $e' * $k) theorem coeff_one (k : ℕ) : k.rawCast = (nat_lit 1).rawCast * k := by simp theorem coeff_mul (a₁ a₂ : ℕ) (_ : a₃ = c₂ * k) : a₁ ^ a₂ * a₃ = (a₁ ^ a₂ * c₂) * k := by subst_vars; rw [mul_assoc] def extractCoeff (va : ExProd sℕ a) : ExtractCoeff a := match va with | .const _ _ => have k : Q(ℕ) := a.appArg! ⟨k, q((nat_lit 1).rawCast), .const 1, (q(coeff_one $k) : Expr)⟩ | .mul (x := a₁) (e := a₂) va₁ va₂ va₃ => let ⟨k, _, vc, pc⟩ := extractCoeff va₃ ⟨k, _, .mul va₁ va₂ vc, q(coeff_mul $a₁ $a₂ $pc)⟩ theorem pow_one_cast (a : R) : a ^ (nat_lit 1).rawCast = a := by simp theorem zero_pow (_ : 0 < b) : (0 : R) ^ b = 0 := match b with | b+1 => by simp [pow_succ] theorem single_pow (_ : (a : R) ^ b = c) : (a + 0) ^ b = c + 0 := by simp [*] theorem pow_nat (_ : b = c * k) (_ : a ^ c = d) (_ : d ^ k = e) : (a : R) ^ b = e := by subst_vars; simp [pow_mul] partial def evalPow₁ (va : ExSum sα a) (vb : ExProd sℕ b) : Result (ExSum sα) q($a ^ $b) := match va, vb with | va, .const 1 => haveI : $b =Q Nat.rawCast (nat_lit 1) := ⟨⟩ ⟨_, va, q(pow_one_cast $a)⟩ | .zero, vb => match vb.evalPos with | some p => ⟨_, .zero, q(zero_pow (R := $α) $p)⟩ | none => evalPowAtom sα (.sum .zero) vb | ExSum.add va .zero, vb => -- TODO: using `.add` here takes a while to compile? let ⟨_, vc, pc⟩ := evalPowProd sα va vb ⟨_, vc.toSum, q(single_pow $pc)⟩ | va, vb => if vb.coeff > 1 then let ⟨k, _, vc, pc⟩ := extractCoeff vb let ⟨_, vd, pd⟩ := evalPow₁ va vc let ⟨_, ve, pe⟩ := evalPowNat sα vd k ⟨_, ve, q(pow_nat $pc $pd $pe)⟩ else evalPowAtom sα (.sum va) vb theorem pow_zero (a : R) : a ^ 0 = (nat_lit 1).rawCast + 0 := by simp theorem pow_add (_ : a ^ b₁ = c₁) (_ : a ^ b₂ = c₂) (_ : c₁ * c₂ = d) : (a : R) ^ (b₁ + b₂) = d := by subst_vars; simp [_root_.pow_add] def evalPow (va : ExSum sα a) (vb : ExSum sℕ b) : Result (ExSum sα) q($a ^ $b) := match vb with | .zero => ⟨_, (ExProd.mkNat sα 1).2.toSum, q(pow_zero $a)⟩ | .add vb₁ vb₂ => let ⟨_, vc₁, pc₁⟩ := evalPow₁ sα va vb₁ let ⟨_, vc₂, pc₂⟩ := evalPow va vb₂ let ⟨_, vd, pd⟩ := evalMul sα vc₁ vc₂ ⟨_, vd, q(pow_add $pc₁ $pc₂ $pd)⟩ structure Cache {α : Q(Type u)} (sα : Q(CommSemiring $α)) := rα : Option Q(Ring $α) dα : Option Q(DivisionRing $α) czα : Option Q(CharZero $α) def mkCache {α : Q(Type u)} (sα : Q(CommSemiring $α)) : MetaM (Cache sα) := return { rα := (← trySynthInstanceQ q(Ring $α)).toOption dα := (← trySynthInstanceQ q(DivisionRing $α)).toOption czα := (← trySynthInstanceQ q(CharZero $α)).toOption } theorem cast_pos : IsNat (a : R) n → a = n.rawCast + 0 | ⟨e⟩ => by simp [e] theorem cast_zero : IsNat (a : R) (nat_lit 0) → a = 0 | ⟨e⟩ => by simp [e] theorem cast_neg {R} [Ring R] {a : R} : IsInt a (.negOfNat n) → a = (Int.negOfNat n).rawCast + 0 | ⟨e⟩ => by simp [e] theorem cast_rat {R} [DivisionRing R] {a : R} : IsRat a n d → a = Rat.rawCast n d + 0 | ⟨_, e⟩ => by simp [e, div_eq_mul_inv] def evalCast : NormNum.Result e → Option (Result (ExSum sα) e) | .isNat _ (.lit (.natVal 0)) p => do assumeInstancesCommute pure ⟨_, .zero, q(cast_zero $p)⟩ | .isNat _ lit p => do assumeInstancesCommute pure ⟨_, (ExProd.mkNat sα lit.natLit!).2.toSum, (q(cast_pos $p) :)⟩ | .isNegNat rα lit p => pure ⟨_, (ExProd.mkNegNat _ rα lit.natLit!).2.toSum, (q(cast_neg $p) : Expr)⟩ | .isRat dα q n d p => pure ⟨_, (ExProd.mkRat sα dα q n d q(IsRat.den_nz $p)).2.toSum, (q(cast_rat $p) : Expr)⟩ | _ => none
Mathlib/Tactic/Ring/Basic.lean
870
871
theorem toProd_pf (p : (a : R) = a') : a = a' ^ (nat_lit 1).rawCast * (nat_lit 1).rawCast := by
simp [*]
import Mathlib.Algebra.Algebra.Equiv import Mathlib.Algebra.Algebra.NonUnitalHom import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Finsupp.Basic import Mathlib.LinearAlgebra.Finsupp #align_import algebra.monoid_algebra.basic from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" noncomputable section open Finset open Finsupp hiding single mapDomain universe u₁ u₂ u₃ u₄ variable (k : Type u₁) (G : Type u₂) (H : Type*) {R : Type*} section variable [Semiring k] def MonoidAlgebra : Type max u₁ u₂ := G →₀ k #align monoid_algebra MonoidAlgebra -- Porting note: The compiler couldn't derive this. instance MonoidAlgebra.inhabited : Inhabited (MonoidAlgebra k G) := inferInstanceAs (Inhabited (G →₀ k)) #align monoid_algebra.inhabited MonoidAlgebra.inhabited -- Porting note: The compiler couldn't derive this. instance MonoidAlgebra.addCommMonoid : AddCommMonoid (MonoidAlgebra k G) := inferInstanceAs (AddCommMonoid (G →₀ k)) #align monoid_algebra.add_comm_monoid MonoidAlgebra.addCommMonoid instance MonoidAlgebra.instIsCancelAdd [IsCancelAdd k] : IsCancelAdd (MonoidAlgebra k G) := inferInstanceAs (IsCancelAdd (G →₀ k)) instance MonoidAlgebra.coeFun : CoeFun (MonoidAlgebra k G) fun _ => G → k := Finsupp.instCoeFun #align monoid_algebra.has_coe_to_fun MonoidAlgebra.coeFun end namespace MonoidAlgebra variable {k G} section variable [Semiring k] [NonUnitalNonAssocSemiring R] -- Porting note: `reducible` cannot be `local`, so we replace some definitions and theorems with -- new ones which have new types. abbrev single (a : G) (b : k) : MonoidAlgebra k G := Finsupp.single a b theorem single_zero (a : G) : (single a 0 : MonoidAlgebra k G) = 0 := Finsupp.single_zero a theorem single_add (a : G) (b₁ b₂ : k) : single a (b₁ + b₂) = single a b₁ + single a b₂ := Finsupp.single_add a b₁ b₂ @[simp] theorem sum_single_index {N} [AddCommMonoid N] {a : G} {b : k} {h : G → k → N} (h_zero : h a 0 = 0) : (single a b).sum h = h a b := Finsupp.sum_single_index h_zero @[simp] theorem sum_single (f : MonoidAlgebra k G) : f.sum single = f := Finsupp.sum_single f theorem single_apply {a a' : G} {b : k} [Decidable (a = a')] : single a b a' = if a = a' then b else 0 := Finsupp.single_apply @[simp] theorem single_eq_zero {a : G} {b : k} : single a b = 0 ↔ b = 0 := Finsupp.single_eq_zero abbrev mapDomain {G' : Type*} (f : G → G') (v : MonoidAlgebra k G) : MonoidAlgebra k G' := Finsupp.mapDomain f v theorem mapDomain_sum {k' G' : Type*} [Semiring k'] {f : G → G'} {s : MonoidAlgebra k' G} {v : G → k' → MonoidAlgebra k G} : mapDomain f (s.sum v) = s.sum fun a b => mapDomain f (v a b) := Finsupp.mapDomain_sum def liftNC (f : k →+ R) (g : G → R) : MonoidAlgebra k G →+ R := liftAddHom fun x : G => (AddMonoidHom.mulRight (g x)).comp f #align monoid_algebra.lift_nc MonoidAlgebra.liftNC @[simp] theorem liftNC_single (f : k →+ R) (g : G → R) (a : G) (b : k) : liftNC f g (single a b) = f b * g a := liftAddHom_apply_single _ _ _ #align monoid_algebra.lift_nc_single MonoidAlgebra.liftNC_single end section One variable [NonAssocSemiring R] [Semiring k] [One G] instance one : One (MonoidAlgebra k G) := ⟨single 1 1⟩ #align monoid_algebra.has_one MonoidAlgebra.one theorem one_def : (1 : MonoidAlgebra k G) = single 1 1 := rfl #align monoid_algebra.one_def MonoidAlgebra.one_def @[simp]
Mathlib/Algebra/MonoidAlgebra/Basic.lean
249
251
theorem liftNC_one {g_hom : Type*} [FunLike g_hom G R] [OneHomClass g_hom G R] (f : k →+* R) (g : g_hom) : liftNC (f : k →+ R) g 1 = 1 := by
simp [one_def]
import Mathlib.Analysis.SpecialFunctions.Pow.Complex import Qq #align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" noncomputable section open scoped Classical open Real ComplexConjugate open Finset Set namespace Real variable {x y z : ℝ} noncomputable def rpow (x y : ℝ) := ((x : ℂ) ^ (y : ℂ)).re #align real.rpow Real.rpow noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩ @[simp] theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl #align real.rpow_eq_pow Real.rpow_eq_pow theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl #align real.rpow_def Real.rpow_def theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by simp only [rpow_def, Complex.cpow_def]; split_ifs <;> simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul, (Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero] #align real.rpow_def_of_nonneg Real.rpow_def_of_nonneg theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)] #align real.rpow_def_of_pos Real.rpow_def_of_pos theorem exp_mul (x y : ℝ) : exp (x * y) = exp x ^ y := by rw [rpow_def_of_pos (exp_pos _), log_exp] #align real.exp_mul Real.exp_mul @[simp, norm_cast] theorem rpow_intCast (x : ℝ) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by simp only [rpow_def, ← Complex.ofReal_zpow, Complex.cpow_intCast, Complex.ofReal_intCast, Complex.ofReal_re] #align real.rpow_int_cast Real.rpow_intCast @[deprecated (since := "2024-04-17")] alias rpow_int_cast := rpow_intCast @[simp, norm_cast] theorem rpow_natCast (x : ℝ) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by simpa using rpow_intCast x n #align real.rpow_nat_cast Real.rpow_natCast @[deprecated (since := "2024-04-17")] alias rpow_nat_cast := rpow_natCast @[simp] theorem exp_one_rpow (x : ℝ) : exp 1 ^ x = exp x := by rw [← exp_mul, one_mul] #align real.exp_one_rpow Real.exp_one_rpow @[simp] lemma exp_one_pow (n : ℕ) : exp 1 ^ n = exp n := by rw [← rpow_natCast, exp_one_rpow] theorem rpow_eq_zero_iff_of_nonneg (hx : 0 ≤ x) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by simp only [rpow_def_of_nonneg hx] split_ifs <;> simp [*, exp_ne_zero] #align real.rpow_eq_zero_iff_of_nonneg Real.rpow_eq_zero_iff_of_nonneg @[simp] lemma rpow_eq_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by simp [rpow_eq_zero_iff_of_nonneg, *] @[simp] lemma rpow_ne_zero (hx : 0 ≤ x) (hy : y ≠ 0) : x ^ y ≠ 0 ↔ x ≠ 0 := Real.rpow_eq_zero hx hy |>.not open Real theorem rpow_def_of_neg {x : ℝ} (hx : x < 0) (y : ℝ) : x ^ y = exp (log x * y) * cos (y * π) := by rw [rpow_def, Complex.cpow_def, if_neg] · have : Complex.log x * y = ↑(log (-x) * y) + ↑(y * π) * Complex.I := by simp only [Complex.log, abs_of_neg hx, Complex.arg_ofReal_of_neg hx, Complex.abs_ofReal, Complex.ofReal_mul] ring rw [this, Complex.exp_add_mul_I, ← Complex.ofReal_exp, ← Complex.ofReal_cos, ← Complex.ofReal_sin, mul_add, ← Complex.ofReal_mul, ← mul_assoc, ← Complex.ofReal_mul, Complex.add_re, Complex.ofReal_re, Complex.mul_re, Complex.I_re, Complex.ofReal_im, Real.log_neg_eq_log] ring · rw [Complex.ofReal_eq_zero] exact ne_of_lt hx #align real.rpow_def_of_neg Real.rpow_def_of_neg theorem rpow_def_of_nonpos {x : ℝ} (hx : x ≤ 0) (y : ℝ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) * cos (y * π) := by split_ifs with h <;> simp [rpow_def, *]; exact rpow_def_of_neg (lt_of_le_of_ne hx h) _ #align real.rpow_def_of_nonpos Real.rpow_def_of_nonpos theorem rpow_pos_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : 0 < x ^ y := by rw [rpow_def_of_pos hx]; apply exp_pos #align real.rpow_pos_of_pos Real.rpow_pos_of_pos @[simp] theorem rpow_zero (x : ℝ) : x ^ (0 : ℝ) = 1 := by simp [rpow_def] #align real.rpow_zero Real.rpow_zero
Mathlib/Analysis/SpecialFunctions/Pow/Real.lean
128
128
theorem rpow_zero_pos (x : ℝ) : 0 < x ^ (0 : ℝ) := by
simp
import Mathlib.Geometry.Manifold.VectorBundle.Basic import Mathlib.Analysis.Convex.Normed #align_import geometry.manifold.vector_bundle.tangent from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" open Bundle Set SmoothManifoldWithCorners PartialHomeomorph ContinuousLinearMap open scoped Manifold Topology Bundle noncomputable section section General variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H : Type*} [TopologicalSpace H] {I : ModelWithCorners 𝕜 E H} {H' : Type*} [TopologicalSpace H'] {I' : ModelWithCorners 𝕜 E' H'} {M : Type*} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] [SmoothManifoldWithCorners I' M'] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable (I) theorem contDiffOn_fderiv_coord_change (i j : atlas H M) : ContDiffOn 𝕜 ∞ (fderivWithin 𝕜 (j.1.extend I ∘ (i.1.extend I).symm) (range I)) ((i.1.extend I).symm ≫ j.1.extend I).source := by have h : ((i.1.extend I).symm ≫ j.1.extend I).source ⊆ range I := by rw [i.1.extend_coord_change_source]; apply image_subset_range intro x hx refine (ContDiffWithinAt.fderivWithin_right ?_ I.unique_diff le_top <| h hx).mono h refine (PartialHomeomorph.contDiffOn_extend_coord_change I (subset_maximalAtlas I j.2) (subset_maximalAtlas I i.2) x hx).mono_of_mem ?_ exact i.1.extend_coord_change_source_mem_nhdsWithin j.1 I hx #align cont_diff_on_fderiv_coord_change contDiffOn_fderiv_coord_change variable (M) open SmoothManifoldWithCorners @[simps indexAt coordChange] def tangentBundleCore : VectorBundleCore 𝕜 M E (atlas H M) where baseSet i := i.1.source isOpen_baseSet i := i.1.open_source indexAt := achart H mem_baseSet_at := mem_chart_source H coordChange i j x := fderivWithin 𝕜 (j.1.extend I ∘ (i.1.extend I).symm) (range I) (i.1.extend I x) coordChange_self i x hx v := by simp only rw [Filter.EventuallyEq.fderivWithin_eq, fderivWithin_id', ContinuousLinearMap.id_apply] · exact I.unique_diff_at_image · filter_upwards [i.1.extend_target_mem_nhdsWithin I hx] with y hy exact (i.1.extend I).right_inv hy · simp_rw [Function.comp_apply, i.1.extend_left_inv I hx] continuousOn_coordChange i j := by refine (contDiffOn_fderiv_coord_change I i j).continuousOn.comp ((i.1.continuousOn_extend I).mono ?_) ?_ · rw [i.1.extend_source]; exact inter_subset_left simp_rw [← i.1.extend_image_source_inter, mapsTo_image] coordChange_comp := by rintro i j k x ⟨⟨hxi, hxj⟩, hxk⟩ v rw [fderivWithin_fderivWithin, Filter.EventuallyEq.fderivWithin_eq] · have := i.1.extend_preimage_mem_nhds I hxi (j.1.extend_source_mem_nhds I hxj) filter_upwards [nhdsWithin_le_nhds this] with y hy simp_rw [Function.comp_apply, (j.1.extend I).left_inv hy] · simp_rw [Function.comp_apply, i.1.extend_left_inv I hxi, j.1.extend_left_inv I hxj] · exact (contDiffWithinAt_extend_coord_change' I (subset_maximalAtlas I k.2) (subset_maximalAtlas I j.2) hxk hxj).differentiableWithinAt le_top · exact (contDiffWithinAt_extend_coord_change' I (subset_maximalAtlas I j.2) (subset_maximalAtlas I i.2) hxj hxi).differentiableWithinAt le_top · intro x _; exact mem_range_self _ · exact I.unique_diff_at_image · rw [Function.comp_apply, i.1.extend_left_inv I hxi] #align tangent_bundle_core tangentBundleCore -- Porting note: moved to a separate `simp high` lemma b/c `simp` can simplify the LHS @[simp high] theorem tangentBundleCore_baseSet (i) : (tangentBundleCore I M).baseSet i = i.1.source := rfl variable {M} theorem tangentBundleCore_coordChange_achart (x x' z : M) : (tangentBundleCore I M).coordChange (achart H x) (achart H x') z = fderivWithin 𝕜 (extChartAt I x' ∘ (extChartAt I x).symm) (range I) (extChartAt I x z) := rfl #align tangent_bundle_core_coord_change_achart tangentBundleCore_coordChange_achart @[nolint unusedArguments] def TangentSpace {𝕜} [NontriviallyNormedField 𝕜] {E} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] (_x : M) : Type* := E -- Porting note: was deriving TopologicalSpace, AddCommGroup, TopologicalAddGroup #align tangent_space TangentSpace instance {x : M} : TopologicalSpace (TangentSpace I x) := inferInstanceAs (TopologicalSpace E) instance {x : M} : AddCommGroup (TangentSpace I x) := inferInstanceAs (AddCommGroup E) instance {x : M} : TopologicalAddGroup (TangentSpace I x) := inferInstanceAs (TopologicalAddGroup E) variable (M) -- is empty if the base manifold is empty -- Porting note(#5171): was nolint has_nonempty_instance abbrev TangentBundle := Bundle.TotalSpace E (TangentSpace I : M → Type _) #align tangent_bundle TangentBundle local notation "TM" => TangentBundle I M section TangentBundleInstances section variable {M} (x : M) instance : Module 𝕜 (TangentSpace I x) := inferInstanceAs (Module 𝕜 E) instance : Inhabited (TangentSpace I x) := ⟨0⟩ -- Porting note: removed unneeded ContinuousAdd (TangentSpace I x) end instance : TopologicalSpace TM := (tangentBundleCore I M).toTopologicalSpace instance TangentSpace.fiberBundle : FiberBundle E (TangentSpace I : M → Type _) := (tangentBundleCore I M).fiberBundle instance TangentSpace.vectorBundle : VectorBundle 𝕜 E (TangentSpace I : M → Type _) := (tangentBundleCore I M).vectorBundle namespace TangentBundle protected theorem chartAt (p : TM) : chartAt (ModelProd H E) p = ((tangentBundleCore I M).toFiberBundleCore.localTriv (achart H p.1)).toPartialHomeomorph ≫ₕ (chartAt H p.1).prod (PartialHomeomorph.refl E) := rfl #align tangent_bundle.chart_at TangentBundle.chartAt theorem chartAt_toPartialEquiv (p : TM) : (chartAt (ModelProd H E) p).toPartialEquiv = (tangentBundleCore I M).toFiberBundleCore.localTrivAsPartialEquiv (achart H p.1) ≫ (chartAt H p.1).toPartialEquiv.prod (PartialEquiv.refl E) := rfl #align tangent_bundle.chart_at_to_local_equiv TangentBundle.chartAt_toPartialEquiv theorem trivializationAt_eq_localTriv (x : M) : trivializationAt E (TangentSpace I) x = (tangentBundleCore I M).toFiberBundleCore.localTriv (achart H x) := rfl #align tangent_bundle.trivialization_at_eq_local_triv TangentBundle.trivializationAt_eq_localTriv @[simp, mfld_simps] theorem trivializationAt_source (x : M) : (trivializationAt E (TangentSpace I) x).source = π E (TangentSpace I) ⁻¹' (chartAt H x).source := rfl #align tangent_bundle.trivialization_at_source TangentBundle.trivializationAt_source @[simp, mfld_simps] theorem trivializationAt_target (x : M) : (trivializationAt E (TangentSpace I) x).target = (chartAt H x).source ×ˢ univ := rfl #align tangent_bundle.trivialization_at_target TangentBundle.trivializationAt_target @[simp, mfld_simps] theorem trivializationAt_baseSet (x : M) : (trivializationAt E (TangentSpace I) x).baseSet = (chartAt H x).source := rfl #align tangent_bundle.trivialization_at_base_set TangentBundle.trivializationAt_baseSet theorem trivializationAt_apply (x : M) (z : TM) : trivializationAt E (TangentSpace I) x z = (z.1, fderivWithin 𝕜 ((chartAt H x).extend I ∘ ((chartAt H z.1).extend I).symm) (range I) ((chartAt H z.1).extend I z.1) z.2) := rfl #align tangent_bundle.trivialization_at_apply TangentBundle.trivializationAt_apply @[simp, mfld_simps] theorem trivializationAt_fst (x : M) (z : TM) : (trivializationAt E (TangentSpace I) x z).1 = z.1 := rfl #align tangent_bundle.trivialization_at_fst TangentBundle.trivializationAt_fst @[simp, mfld_simps]
Mathlib/Geometry/Manifold/VectorBundle/Tangent.lean
279
281
theorem mem_chart_source_iff (p q : TM) : p ∈ (chartAt (ModelProd H E) q).source ↔ p.1 ∈ (chartAt H q.1).source := by
simp only [FiberBundle.chartedSpace_chartAt, mfld_simps]
import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Tactic.FinCases import Mathlib.Topology.Sets.Closeds #align_import topology.locally_constant.basic from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" variable {X Y Z α : Type*} [TopologicalSpace X] open Set Filter open Topology def IsLocallyConstant (f : X → Y) : Prop := ∀ s : Set Y, IsOpen (f ⁻¹' s) #align is_locally_constant IsLocallyConstant namespace IsLocallyConstant open List in protected theorem tfae (f : X → Y) : TFAE [IsLocallyConstant f, ∀ x, ∀ᶠ x' in 𝓝 x, f x' = f x, ∀ x, IsOpen { x' | f x' = f x }, ∀ y, IsOpen (f ⁻¹' {y}), ∀ x, ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ ∀ x' ∈ U, f x' = f x] := by tfae_have 1 → 4 · exact fun h y => h {y} tfae_have 4 → 3 · exact fun h x => h (f x) tfae_have 3 → 2 · exact fun h x => IsOpen.mem_nhds (h x) rfl tfae_have 2 → 5 · intro h x rcases mem_nhds_iff.1 (h x) with ⟨U, eq, hU, hx⟩ exact ⟨U, hU, hx, eq⟩ tfae_have 5 → 1 · intro h s refine isOpen_iff_forall_mem_open.2 fun x hx ↦ ?_ rcases h x with ⟨U, hU, hxU, eq⟩ exact ⟨U, fun x' hx' => mem_preimage.2 <| (eq x' hx').symm ▸ hx, hU, hxU⟩ tfae_finish #align is_locally_constant.tfae IsLocallyConstant.tfae @[nontriviality] theorem of_discrete [DiscreteTopology X] (f : X → Y) : IsLocallyConstant f := fun _ => isOpen_discrete _ #align is_locally_constant.of_discrete IsLocallyConstant.of_discrete theorem isOpen_fiber {f : X → Y} (hf : IsLocallyConstant f) (y : Y) : IsOpen { x | f x = y } := hf {y} #align is_locally_constant.is_open_fiber IsLocallyConstant.isOpen_fiber theorem isClosed_fiber {f : X → Y} (hf : IsLocallyConstant f) (y : Y) : IsClosed { x | f x = y } := ⟨hf {y}ᶜ⟩ #align is_locally_constant.is_closed_fiber IsLocallyConstant.isClosed_fiber theorem isClopen_fiber {f : X → Y} (hf : IsLocallyConstant f) (y : Y) : IsClopen { x | f x = y } := ⟨isClosed_fiber hf _, isOpen_fiber hf _⟩ #align is_locally_constant.is_clopen_fiber IsLocallyConstant.isClopen_fiber theorem iff_exists_open (f : X → Y) : IsLocallyConstant f ↔ ∀ x, ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ ∀ x' ∈ U, f x' = f x := (IsLocallyConstant.tfae f).out 0 4 #align is_locally_constant.iff_exists_open IsLocallyConstant.iff_exists_open theorem iff_eventually_eq (f : X → Y) : IsLocallyConstant f ↔ ∀ x, ∀ᶠ y in 𝓝 x, f y = f x := (IsLocallyConstant.tfae f).out 0 1 #align is_locally_constant.iff_eventually_eq IsLocallyConstant.iff_eventually_eq theorem exists_open {f : X → Y} (hf : IsLocallyConstant f) (x : X) : ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ ∀ x' ∈ U, f x' = f x := (iff_exists_open f).1 hf x #align is_locally_constant.exists_open IsLocallyConstant.exists_open protected theorem eventually_eq {f : X → Y} (hf : IsLocallyConstant f) (x : X) : ∀ᶠ y in 𝓝 x, f y = f x := (iff_eventually_eq f).1 hf x #align is_locally_constant.eventually_eq IsLocallyConstant.eventually_eq -- Porting note (#10756): new lemma theorem iff_isOpen_fiber_apply {f : X → Y} : IsLocallyConstant f ↔ ∀ x, IsOpen (f ⁻¹' {f x}) := (IsLocallyConstant.tfae f).out 0 2 -- Porting note (#10756): new lemma theorem iff_isOpen_fiber {f : X → Y} : IsLocallyConstant f ↔ ∀ y, IsOpen (f ⁻¹' {y}) := (IsLocallyConstant.tfae f).out 0 3 protected theorem continuous [TopologicalSpace Y] {f : X → Y} (hf : IsLocallyConstant f) : Continuous f := ⟨fun _ _ => hf _⟩ #align is_locally_constant.continuous IsLocallyConstant.continuous theorem iff_continuous {_ : TopologicalSpace Y} [DiscreteTopology Y] (f : X → Y) : IsLocallyConstant f ↔ Continuous f := ⟨IsLocallyConstant.continuous, fun h s => h.isOpen_preimage s (isOpen_discrete _)⟩ #align is_locally_constant.iff_continuous IsLocallyConstant.iff_continuous theorem of_constant (f : X → Y) (h : ∀ x y, f x = f y) : IsLocallyConstant f := (iff_eventually_eq f).2 fun _ => eventually_of_forall fun _ => h _ _ #align is_locally_constant.of_constant IsLocallyConstant.of_constant protected theorem const (y : Y) : IsLocallyConstant (Function.const X y) := of_constant _ fun _ _ => rfl #align is_locally_constant.const IsLocallyConstant.const protected theorem comp {f : X → Y} (hf : IsLocallyConstant f) (g : Y → Z) : IsLocallyConstant (g ∘ f) := fun s => by rw [Set.preimage_comp] exact hf _ #align is_locally_constant.comp IsLocallyConstant.comp theorem prod_mk {Y'} {f : X → Y} {f' : X → Y'} (hf : IsLocallyConstant f) (hf' : IsLocallyConstant f') : IsLocallyConstant fun x => (f x, f' x) := (iff_eventually_eq _).2 fun x => (hf.eventually_eq x).mp <| (hf'.eventually_eq x).mono fun _ hf' hf => Prod.ext hf hf' #align is_locally_constant.prod_mk IsLocallyConstant.prod_mk theorem comp₂ {Y₁ Y₂ Z : Type*} {f : X → Y₁} {g : X → Y₂} (hf : IsLocallyConstant f) (hg : IsLocallyConstant g) (h : Y₁ → Y₂ → Z) : IsLocallyConstant fun x => h (f x) (g x) := (hf.prod_mk hg).comp fun x : Y₁ × Y₂ => h x.1 x.2 #align is_locally_constant.comp₂ IsLocallyConstant.comp₂ theorem comp_continuous [TopologicalSpace Y] {g : Y → Z} {f : X → Y} (hg : IsLocallyConstant g) (hf : Continuous f) : IsLocallyConstant (g ∘ f) := fun s => by rw [Set.preimage_comp] exact hf.isOpen_preimage _ (hg _) #align is_locally_constant.comp_continuous IsLocallyConstant.comp_continuous theorem apply_eq_of_isPreconnected {f : X → Y} (hf : IsLocallyConstant f) {s : Set X} (hs : IsPreconnected s) {x y : X} (hx : x ∈ s) (hy : y ∈ s) : f x = f y := by let U := f ⁻¹' {f y} suffices x ∉ Uᶜ from Classical.not_not.1 this intro hxV specialize hs U Uᶜ (hf {f y}) (hf {f y}ᶜ) _ ⟨y, ⟨hy, rfl⟩⟩ ⟨x, ⟨hx, hxV⟩⟩ · simp only [union_compl_self, subset_univ] · simp only [inter_empty, Set.not_nonempty_empty, inter_compl_self] at hs #align is_locally_constant.apply_eq_of_is_preconnected IsLocallyConstant.apply_eq_of_isPreconnected theorem apply_eq_of_preconnectedSpace [PreconnectedSpace X] {f : X → Y} (hf : IsLocallyConstant f) (x y : X) : f x = f y := hf.apply_eq_of_isPreconnected isPreconnected_univ trivial trivial #align is_locally_constant.apply_eq_of_preconnected_space IsLocallyConstant.apply_eq_of_preconnectedSpace theorem eq_const [PreconnectedSpace X] {f : X → Y} (hf : IsLocallyConstant f) (x : X) : f = Function.const X (f x) := funext fun y => hf.apply_eq_of_preconnectedSpace y x #align is_locally_constant.eq_const IsLocallyConstant.eq_const
Mathlib/Topology/LocallyConstant/Basic.lean
172
176
theorem exists_eq_const [PreconnectedSpace X] [Nonempty Y] {f : X → Y} (hf : IsLocallyConstant f) : ∃ y, f = Function.const X y := by
cases' isEmpty_or_nonempty X with h h · exact ⟨Classical.arbitrary Y, funext <| h.elim⟩ · exact ⟨f (Classical.arbitrary X), hf.eq_const _⟩
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section Real variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by lift a to ℝ≥0 using ha lift b to ℝ≥0 using hb rfl #align ennreal.to_real_add ENNReal.toReal_add
Mathlib/Data/ENNReal/Real.lean
43
47
theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) : (a - b).toReal = a.toReal - b.toReal := by
lift b to ℝ≥0 using ne_top_of_le_ne_top ha h lift a to ℝ≥0 using ha simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)]
import Mathlib.LinearAlgebra.AffineSpace.Independent import Mathlib.LinearAlgebra.Basis #align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Affine open Set universe u₁ u₂ u₃ u₄ structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V] [AffineSpace V P] [Ring k] [Module k V] where protected toFun : ι → P protected ind' : AffineIndependent k toFun protected tot' : affineSpan k (range toFun) = ⊤ #align affine_basis AffineBasis variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P] namespace AffineBasis section Ring variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι') instance : Inhabited (AffineBasis PUnit k PUnit) := ⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩ instance instFunLike : FunLike (AffineBasis ι k P) ι P where coe := AffineBasis.toFun coe_injective' f g h := by cases f; cases g; congr #align affine_basis.fun_like AffineBasis.instFunLike @[ext] theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ := DFunLike.coe_injective h #align affine_basis.ext AffineBasis.ext theorem ind : AffineIndependent k b := b.ind' #align affine_basis.ind AffineBasis.ind theorem tot : affineSpan k (range b) = ⊤ := b.tot' #align affine_basis.tot AffineBasis.tot protected theorem nonempty : Nonempty ι := not_isEmpty_iff.mp fun hι => by simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot #align affine_basis.nonempty AffineBasis.nonempty def reindex (e : ι ≃ ι') : AffineBasis ι' k P := ⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by rw [e.symm.surjective.range_comp] exact b.3⟩ #align affine_basis.reindex AffineBasis.reindex @[simp, norm_cast] theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm := rfl #align affine_basis.coe_reindex AffineBasis.coe_reindex @[simp] theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') := rfl #align affine_basis.reindex_apply AffineBasis.reindex_apply @[simp] theorem reindex_refl : b.reindex (Equiv.refl _) = b := ext rfl #align affine_basis.reindex_refl AffineBasis.reindex_refl noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V := Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind) (by suffices Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top] conv_rhs => rw [← image_univ] rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)] congr ext v simp) #align affine_basis.basis_of AffineBasis.basisOf @[simp] theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by simp [basisOf] #align affine_basis.basis_of_apply AffineBasis.basisOf_apply @[simp] theorem basisOf_reindex (i : ι') : (b.reindex e).basisOf i = (b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by ext j simp #align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex noncomputable def coord (i : ι) : P →ᵃ[k] k where toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i) linear := -(b.basisOf i).sumCoords map_vadd' q v := by dsimp only rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply, sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg] #align affine_basis.coord AffineBasis.coord @[simp] theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords := rfl #align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords @[simp] theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by ext classical simp [AffineBasis.coord] #align affine_basis.coord_reindex AffineBasis.coord_reindex @[simp] theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero, AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self] #align affine_basis.coord_apply_eq AffineBasis.coord_apply_eq @[simp] theorem coord_apply_ne (h : i ≠ j) : b.coord i (b j) = 0 := by -- Porting note: -- in mathlib3 we didn't need to given the `fun j => j ≠ i` argument to `Subtype.coe_mk`, -- but I don't think we can complain: this proof was over-golfed. rw [coord, AffineMap.coe_mk, ← @Subtype.coe_mk _ (fun j => j ≠ i) j h.symm, ← b.basisOf_apply, Basis.sumCoords_self_apply, sub_self] #align affine_basis.coord_apply_ne AffineBasis.coord_apply_ne theorem coord_apply [DecidableEq ι] (i j : ι) : b.coord i (b j) = if i = j then 1 else 0 := by rcases eq_or_ne i j with h | h <;> simp [h] #align affine_basis.coord_apply AffineBasis.coord_apply @[simp] theorem coord_apply_combination_of_mem (hi : i ∈ s) {w : ι → k} (hw : s.sum w = 1) : b.coord i (s.affineCombination k b w) = w i := by classical simp only [coord_apply, hi, Finset.affineCombination_eq_linear_combination, if_true, mul_boole, hw, Function.comp_apply, smul_eq_mul, s.sum_ite_eq, s.map_affineCombination b w hw] #align affine_basis.coord_apply_combination_of_mem AffineBasis.coord_apply_combination_of_mem @[simp] theorem coord_apply_combination_of_not_mem (hi : i ∉ s) {w : ι → k} (hw : s.sum w = 1) : b.coord i (s.affineCombination k b w) = 0 := by classical simp only [coord_apply, hi, Finset.affineCombination_eq_linear_combination, if_false, mul_boole, hw, Function.comp_apply, smul_eq_mul, s.sum_ite_eq, s.map_affineCombination b w hw] #align affine_basis.coord_apply_combination_of_not_mem AffineBasis.coord_apply_combination_of_not_mem @[simp] theorem sum_coord_apply_eq_one [Fintype ι] (q : P) : ∑ i, b.coord i q = 1 := by have hq : q ∈ affineSpan k (range b) := by rw [b.tot] exact AffineSubspace.mem_top k V q obtain ⟨w, hw, rfl⟩ := eq_affineCombination_of_mem_affineSpan_of_fintype hq convert hw exact b.coord_apply_combination_of_mem (Finset.mem_univ _) hw #align affine_basis.sum_coord_apply_eq_one AffineBasis.sum_coord_apply_eq_one @[simp] theorem affineCombination_coord_eq_self [Fintype ι] (q : P) : (Finset.univ.affineCombination k b fun i => b.coord i q) = q := by have hq : q ∈ affineSpan k (range b) := by rw [b.tot] exact AffineSubspace.mem_top k V q obtain ⟨w, hw, rfl⟩ := eq_affineCombination_of_mem_affineSpan_of_fintype hq congr ext i exact b.coord_apply_combination_of_mem (Finset.mem_univ i) hw #align affine_basis.affine_combination_coord_eq_self AffineBasis.affineCombination_coord_eq_self @[simp] theorem linear_combination_coord_eq_self [Fintype ι] (b : AffineBasis ι k V) (v : V) : ∑ i, b.coord i v • b i = v := by have hb := b.affineCombination_coord_eq_self v rwa [Finset.univ.affineCombination_eq_linear_combination _ _ (b.sum_coord_apply_eq_one v)] at hb #align affine_basis.linear_combination_coord_eq_self AffineBasis.linear_combination_coord_eq_self theorem ext_elem [Finite ι] {q₁ q₂ : P} (h : ∀ i, b.coord i q₁ = b.coord i q₂) : q₁ = q₂ := by cases nonempty_fintype ι rw [← b.affineCombination_coord_eq_self q₁, ← b.affineCombination_coord_eq_self q₂] simp only [h] #align affine_basis.ext_elem AffineBasis.ext_elem @[simp] theorem coe_coord_of_subsingleton_eq_one [Subsingleton ι] (i : ι) : (b.coord i : P → k) = 1 := by ext q have hp : (range b).Subsingleton := by rw [← image_univ] apply Subsingleton.image apply subsingleton_of_subsingleton haveI := AffineSubspace.subsingleton_of_subsingleton_span_eq_top hp b.tot let s : Finset ι := {i} have hi : i ∈ s := by simp [s] have hw : s.sum (Function.const ι (1 : k)) = 1 := by simp [s] have hq : q = s.affineCombination k b (Function.const ι (1 : k)) := by simp [eq_iff_true_of_subsingleton] rw [Pi.one_apply, hq, b.coord_apply_combination_of_mem hi hw, Function.const_apply] #align affine_basis.coe_coord_of_subsingleton_eq_one AffineBasis.coe_coord_of_subsingleton_eq_one
Mathlib/LinearAlgebra/AffineSpace/Basis.lean
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theorem surjective_coord [Nontrivial ι] (i : ι) : Function.Surjective <| b.coord i := by
classical intro x obtain ⟨j, hij⟩ := exists_ne i let s : Finset ι := {i, j} have hi : i ∈ s := by simp [s] let w : ι → k := fun j' => if j' = i then x else 1 - x have hw : s.sum w = 1 := by simp [s, w, Finset.sum_ite, Finset.filter_insert, hij, Finset.filter_true_of_mem, Finset.filter_false_of_mem] use s.affineCombination k b w simp [w, b.coord_apply_combination_of_mem hi hw]
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.LinearAlgebra.Matrix.Block #align_import analysis.inner_product_space.gram_schmidt_ortho from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0" open Finset Submodule FiniteDimensional variable (𝕜 : Type*) {E : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable {ι : Type*} [LinearOrder ι] [LocallyFiniteOrderBot ι] [IsWellOrder ι (· < ·)] attribute [local instance] IsWellOrder.toHasWellFounded local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y noncomputable def gramSchmidt [IsWellOrder ι (· < ·)] (f : ι → E) (n : ι) : E := f n - ∑ i : Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt f i) (f n) termination_by n decreasing_by exact mem_Iio.1 i.2 #align gram_schmidt gramSchmidt theorem gramSchmidt_def (f : ι → E) (n : ι) : gramSchmidt 𝕜 f n = f n - ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by rw [← sum_attach, attach_eq_univ, gramSchmidt] #align gram_schmidt_def gramSchmidt_def theorem gramSchmidt_def' (f : ι → E) (n : ι) : f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by rw [gramSchmidt_def, sub_add_cancel] #align gram_schmidt_def' gramSchmidt_def' theorem gramSchmidt_def'' (f : ι → E) (n : ι) : f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n, (⟪gramSchmidt 𝕜 f i, f n⟫ / (‖gramSchmidt 𝕜 f i‖ : 𝕜) ^ 2) • gramSchmidt 𝕜 f i := by convert gramSchmidt_def' 𝕜 f n rw [orthogonalProjection_singleton, RCLike.ofReal_pow] #align gram_schmidt_def'' gramSchmidt_def'' @[simp] theorem gramSchmidt_zero {ι : Type*} [LinearOrder ι] [LocallyFiniteOrder ι] [OrderBot ι] [IsWellOrder ι (· < ·)] (f : ι → E) : gramSchmidt 𝕜 f ⊥ = f ⊥ := by rw [gramSchmidt_def, Iio_eq_Ico, Finset.Ico_self, Finset.sum_empty, sub_zero] #align gram_schmidt_zero gramSchmidt_zero theorem gramSchmidt_orthogonal (f : ι → E) {a b : ι} (h₀ : a ≠ b) : ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := by suffices ∀ a b : ι, a < b → ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 by cases' h₀.lt_or_lt with ha hb · exact this _ _ ha · rw [inner_eq_zero_symm] exact this _ _ hb clear h₀ a b intro a b h₀ revert a apply wellFounded_lt.induction b intro b ih a h₀ simp only [gramSchmidt_def 𝕜 f b, inner_sub_right, inner_sum, orthogonalProjection_singleton, inner_smul_right] rw [Finset.sum_eq_single_of_mem a (Finset.mem_Iio.mpr h₀)] · by_cases h : gramSchmidt 𝕜 f a = 0 · simp only [h, inner_zero_left, zero_div, zero_mul, sub_zero] · rw [RCLike.ofReal_pow, ← inner_self_eq_norm_sq_to_K, div_mul_cancel₀, sub_self] rwa [inner_self_ne_zero] intro i hi hia simp only [mul_eq_zero, div_eq_zero_iff, inner_self_eq_zero] right cases' hia.lt_or_lt with hia₁ hia₂ · rw [inner_eq_zero_symm] exact ih a h₀ i hia₁ · exact ih i (mem_Iio.1 hi) a hia₂ #align gram_schmidt_orthogonal gramSchmidt_orthogonal theorem gramSchmidt_pairwise_orthogonal (f : ι → E) : Pairwise fun a b => ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := fun _ _ => gramSchmidt_orthogonal 𝕜 f #align gram_schmidt_pairwise_orthogonal gramSchmidt_pairwise_orthogonal theorem gramSchmidt_inv_triangular (v : ι → E) {i j : ι} (hij : i < j) : ⟪gramSchmidt 𝕜 v j, v i⟫ = 0 := by rw [gramSchmidt_def'' 𝕜 v] simp only [inner_add_right, inner_sum, inner_smul_right] set b : ι → E := gramSchmidt 𝕜 v convert zero_add (0 : 𝕜) · exact gramSchmidt_orthogonal 𝕜 v hij.ne' apply Finset.sum_eq_zero rintro k hki' have hki : k < i := by simpa using hki' have : ⟪b j, b k⟫ = 0 := gramSchmidt_orthogonal 𝕜 v (hki.trans hij).ne' simp [this] #align gram_schmidt_inv_triangular gramSchmidt_inv_triangular open Submodule Set Order theorem mem_span_gramSchmidt (f : ι → E) {i j : ι} (hij : i ≤ j) : f i ∈ span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j) := by rw [gramSchmidt_def' 𝕜 f i] simp_rw [orthogonalProjection_singleton] exact Submodule.add_mem _ (subset_span <| mem_image_of_mem _ hij) (Submodule.sum_mem _ fun k hk => smul_mem (span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j)) _ <| subset_span <| mem_image_of_mem (gramSchmidt 𝕜 f) <| (Finset.mem_Iio.1 hk).le.trans hij) #align mem_span_gram_schmidt mem_span_gramSchmidt theorem gramSchmidt_mem_span (f : ι → E) : ∀ {j i}, i ≤ j → gramSchmidt 𝕜 f i ∈ span 𝕜 (f '' Set.Iic j) := by intro j i hij rw [gramSchmidt_def 𝕜 f i] simp_rw [orthogonalProjection_singleton] refine Submodule.sub_mem _ (subset_span (mem_image_of_mem _ hij)) (Submodule.sum_mem _ fun k hk => ?_) let hkj : k < j := (Finset.mem_Iio.1 hk).trans_le hij exact smul_mem _ _ (span_mono (image_subset f <| Iic_subset_Iic.2 hkj.le) <| gramSchmidt_mem_span _ le_rfl) termination_by j => j #align gram_schmidt_mem_span gramSchmidt_mem_span theorem span_gramSchmidt_Iic (f : ι → E) (c : ι) : span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic c) = span 𝕜 (f '' Set.Iic c) := span_eq_span (Set.image_subset_iff.2 fun _ => gramSchmidt_mem_span _ _) <| Set.image_subset_iff.2 fun _ => mem_span_gramSchmidt _ _ #align span_gram_schmidt_Iic span_gramSchmidt_Iic theorem span_gramSchmidt_Iio (f : ι → E) (c : ι) : span 𝕜 (gramSchmidt 𝕜 f '' Set.Iio c) = span 𝕜 (f '' Set.Iio c) := span_eq_span (Set.image_subset_iff.2 fun _ hi => span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| gramSchmidt_mem_span _ _ le_rfl) <| Set.image_subset_iff.2 fun _ hi => span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| mem_span_gramSchmidt _ _ le_rfl #align span_gram_schmidt_Iio span_gramSchmidt_Iio theorem span_gramSchmidt (f : ι → E) : span 𝕜 (range (gramSchmidt 𝕜 f)) = span 𝕜 (range f) := span_eq_span (range_subset_iff.2 fun _ => span_mono (image_subset_range _ _) <| gramSchmidt_mem_span _ _ le_rfl) <| range_subset_iff.2 fun _ => span_mono (image_subset_range _ _) <| mem_span_gramSchmidt _ _ le_rfl #align span_gram_schmidt span_gramSchmidt theorem gramSchmidt_of_orthogonal {f : ι → E} (hf : Pairwise fun i j => ⟪f i, f j⟫ = 0) : gramSchmidt 𝕜 f = f := by ext i rw [gramSchmidt_def] trans f i - 0 · congr apply Finset.sum_eq_zero intro j hj rw [Submodule.coe_eq_zero] suffices span 𝕜 (f '' Set.Iic j) ⟂ 𝕜 ∙ f i by apply orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero rw [mem_orthogonal_singleton_iff_inner_left] rw [← mem_orthogonal_singleton_iff_inner_right] exact this (gramSchmidt_mem_span 𝕜 f (le_refl j)) rw [isOrtho_span] rintro u ⟨k, hk, rfl⟩ v (rfl : v = f i) apply hf exact (lt_of_le_of_lt hk (Finset.mem_Iio.mp hj)).ne · simp #align gram_schmidt_of_orthogonal gramSchmidt_of_orthogonal variable {𝕜} theorem gramSchmidt_ne_zero_coe {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : gramSchmidt 𝕜 f n ≠ 0 := by by_contra h have h₁ : f n ∈ span 𝕜 (f '' Set.Iio n) := by rw [← span_gramSchmidt_Iio 𝕜 f n, gramSchmidt_def' 𝕜 f, h, zero_add] apply Submodule.sum_mem _ _ intro a ha simp only [Set.mem_image, Set.mem_Iio, orthogonalProjection_singleton] apply Submodule.smul_mem _ _ _ rw [Finset.mem_Iio] at ha exact subset_span ⟨a, ha, by rfl⟩ have h₂ : (f ∘ ((↑) : Set.Iic n → ι)) ⟨n, le_refl n⟩ ∈ span 𝕜 (f ∘ ((↑) : Set.Iic n → ι) '' Set.Iio ⟨n, le_refl n⟩) := by rw [image_comp] simpa using h₁ apply LinearIndependent.not_mem_span_image h₀ _ h₂ simp only [Set.mem_Iio, lt_self_iff_false, not_false_iff] #align gram_schmidt_ne_zero_coe gramSchmidt_ne_zero_coe theorem gramSchmidt_ne_zero {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) : gramSchmidt 𝕜 f n ≠ 0 := gramSchmidt_ne_zero_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective) #align gram_schmidt_ne_zero gramSchmidt_ne_zero theorem gramSchmidt_triangular {i j : ι} (hij : i < j) (b : Basis ι 𝕜 E) : b.repr (gramSchmidt 𝕜 b i) j = 0 := by have : gramSchmidt 𝕜 b i ∈ span 𝕜 (gramSchmidt 𝕜 b '' Set.Iio j) := subset_span ((Set.mem_image _ _ _).2 ⟨i, hij, rfl⟩) have : gramSchmidt 𝕜 b i ∈ span 𝕜 (b '' Set.Iio j) := by rwa [← span_gramSchmidt_Iio 𝕜 b j] have : ↑(b.repr (gramSchmidt 𝕜 b i)).support ⊆ Set.Iio j := Basis.repr_support_subset_of_mem_span b (Set.Iio j) this exact (Finsupp.mem_supported' _ _).1 ((Finsupp.mem_supported 𝕜 _).2 this) j Set.not_mem_Iio_self #align gram_schmidt_triangular gramSchmidt_triangular theorem gramSchmidt_linearIndependent {f : ι → E} (h₀ : LinearIndependent 𝕜 f) : LinearIndependent 𝕜 (gramSchmidt 𝕜 f) := linearIndependent_of_ne_zero_of_inner_eq_zero (fun _ => gramSchmidt_ne_zero _ h₀) fun _ _ => gramSchmidt_orthogonal 𝕜 f #align gram_schmidt_linear_independent gramSchmidt_linearIndependent noncomputable def gramSchmidtBasis (b : Basis ι 𝕜 E) : Basis ι 𝕜 E := Basis.mk (gramSchmidt_linearIndependent b.linearIndependent) ((span_gramSchmidt 𝕜 b).trans b.span_eq).ge #align gram_schmidt_basis gramSchmidtBasis theorem coe_gramSchmidtBasis (b : Basis ι 𝕜 E) : (gramSchmidtBasis b : ι → E) = gramSchmidt 𝕜 b := Basis.coe_mk _ _ #align coe_gram_schmidt_basis coe_gramSchmidtBasis variable (𝕜) noncomputable def gramSchmidtNormed (f : ι → E) (n : ι) : E := (‖gramSchmidt 𝕜 f n‖ : 𝕜)⁻¹ • gramSchmidt 𝕜 f n #align gram_schmidt_normed gramSchmidtNormed variable {𝕜} theorem gramSchmidtNormed_unit_length_coe {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := by simp only [gramSchmidt_ne_zero_coe n h₀, gramSchmidtNormed, norm_smul_inv_norm, Ne, not_false_iff] #align gram_schmidt_normed_unit_length_coe gramSchmidtNormed_unit_length_coe theorem gramSchmidtNormed_unit_length {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := gramSchmidtNormed_unit_length_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective) #align gram_schmidt_normed_unit_length gramSchmidtNormed_unit_length theorem gramSchmidtNormed_unit_length' {f : ι → E} {n : ι} (hn : gramSchmidtNormed 𝕜 f n ≠ 0) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := by rw [gramSchmidtNormed] at * rw [norm_smul_inv_norm] simpa using hn #align gram_schmidt_normed_unit_length' gramSchmidtNormed_unit_length' theorem gramSchmidt_orthonormal {f : ι → E} (h₀ : LinearIndependent 𝕜 f) : Orthonormal 𝕜 (gramSchmidtNormed 𝕜 f) := by unfold Orthonormal constructor · simp only [gramSchmidtNormed_unit_length, h₀, eq_self_iff_true, imp_true_iff] · intro i j hij simp only [gramSchmidtNormed, inner_smul_left, inner_smul_right, RCLike.conj_inv, RCLike.conj_ofReal, mul_eq_zero, inv_eq_zero, RCLike.ofReal_eq_zero, norm_eq_zero] repeat' right exact gramSchmidt_orthogonal 𝕜 f hij #align gram_schmidt_orthonormal gramSchmidt_orthonormal theorem gramSchmidt_orthonormal' (f : ι → E) : Orthonormal 𝕜 fun i : { i | gramSchmidtNormed 𝕜 f i ≠ 0 } => gramSchmidtNormed 𝕜 f i := by refine ⟨fun i => gramSchmidtNormed_unit_length' i.prop, ?_⟩ rintro i j (hij : ¬_) rw [Subtype.ext_iff] at hij simp [gramSchmidtNormed, inner_smul_left, inner_smul_right, gramSchmidt_orthogonal 𝕜 f hij] #align gram_schmidt_orthonormal' gramSchmidt_orthonormal' theorem span_gramSchmidtNormed (f : ι → E) (s : Set ι) : span 𝕜 (gramSchmidtNormed 𝕜 f '' s) = span 𝕜 (gramSchmidt 𝕜 f '' s) := by refine span_eq_span (Set.image_subset_iff.2 fun i hi => smul_mem _ _ <| subset_span <| mem_image_of_mem _ hi) (Set.image_subset_iff.2 fun i hi => span_mono (image_subset _ <| singleton_subset_set_iff.2 hi) ?_) simp only [coe_singleton, Set.image_singleton] by_cases h : gramSchmidt 𝕜 f i = 0 · simp [h] · refine mem_span_singleton.2 ⟨‖gramSchmidt 𝕜 f i‖, smul_inv_smul₀ ?_ _⟩ exact mod_cast norm_ne_zero_iff.2 h #align span_gram_schmidt_normed span_gramSchmidtNormed theorem span_gramSchmidtNormed_range (f : ι → E) : span 𝕜 (range (gramSchmidtNormed 𝕜 f)) = span 𝕜 (range (gramSchmidt 𝕜 f)) := by simpa only [image_univ.symm] using span_gramSchmidtNormed f univ #align span_gram_schmidt_normed_range span_gramSchmidtNormed_range section OrthonormalBasis variable [Fintype ι] [FiniteDimensional 𝕜 E] (h : finrank 𝕜 E = Fintype.card ι) (f : ι → E) noncomputable def gramSchmidtOrthonormalBasis : OrthonormalBasis ι 𝕜 E := ((gramSchmidt_orthonormal' f).exists_orthonormalBasis_extension_of_card_eq (v := gramSchmidtNormed 𝕜 f) h).choose #align gram_schmidt_orthonormal_basis gramSchmidtOrthonormalBasis theorem gramSchmidtOrthonormalBasis_apply {f : ι → E} {i : ι} (hi : gramSchmidtNormed 𝕜 f i ≠ 0) : gramSchmidtOrthonormalBasis h f i = gramSchmidtNormed 𝕜 f i := ((gramSchmidt_orthonormal' f).exists_orthonormalBasis_extension_of_card_eq (v := gramSchmidtNormed 𝕜 f) h).choose_spec i hi #align gram_schmidt_orthonormal_basis_apply gramSchmidtOrthonormalBasis_apply theorem gramSchmidtOrthonormalBasis_apply_of_orthogonal {f : ι → E} (hf : Pairwise fun i j => ⟪f i, f j⟫ = 0) {i : ι} (hi : f i ≠ 0) : gramSchmidtOrthonormalBasis h f i = (‖f i‖⁻¹ : 𝕜) • f i := by have H : gramSchmidtNormed 𝕜 f i = (‖f i‖⁻¹ : 𝕜) • f i := by rw [gramSchmidtNormed, gramSchmidt_of_orthogonal 𝕜 hf] rw [gramSchmidtOrthonormalBasis_apply h, H] simpa [H] using hi #align gram_schmidt_orthonormal_basis_apply_of_orthogonal gramSchmidtOrthonormalBasis_apply_of_orthogonal theorem inner_gramSchmidtOrthonormalBasis_eq_zero {f : ι → E} {i : ι} (hi : gramSchmidtNormed 𝕜 f i = 0) (j : ι) : ⟪gramSchmidtOrthonormalBasis h f i, f j⟫ = 0 := by rw [← mem_orthogonal_singleton_iff_inner_right] suffices span 𝕜 (gramSchmidtNormed 𝕜 f '' Set.Iic j) ⟂ 𝕜 ∙ gramSchmidtOrthonormalBasis h f i by apply this rw [span_gramSchmidtNormed] exact mem_span_gramSchmidt 𝕜 f le_rfl rw [isOrtho_span] rintro u ⟨k, _, rfl⟩ v (rfl : v = _) by_cases hk : gramSchmidtNormed 𝕜 f k = 0 · rw [hk, inner_zero_left] rw [← gramSchmidtOrthonormalBasis_apply h hk] have : k ≠ i := by rintro rfl exact hk hi exact (gramSchmidtOrthonormalBasis h f).orthonormal.2 this #align inner_gram_schmidt_orthonormal_basis_eq_zero inner_gramSchmidtOrthonormalBasis_eq_zero
Mathlib/Analysis/InnerProductSpace/GramSchmidtOrtho.lean
372
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theorem gramSchmidtOrthonormalBasis_inv_triangular {i j : ι} (hij : i < j) : ⟪gramSchmidtOrthonormalBasis h f j, f i⟫ = 0 := by
by_cases hi : gramSchmidtNormed 𝕜 f j = 0 · rw [inner_gramSchmidtOrthonormalBasis_eq_zero h hi] · simp [gramSchmidtOrthonormalBasis_apply h hi, gramSchmidtNormed, inner_smul_left, gramSchmidt_inv_triangular 𝕜 f hij]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Comp import Mathlib.Analysis.Calculus.FDeriv.RestrictScalars #align_import analysis.calculus.deriv.comp from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section CompositionVector open ContinuousLinearMap variable {l : F → E} {l' : F →L[𝕜] E} {y : F} variable (x) theorem HasFDerivWithinAt.comp_hasDerivWithinAt {t : Set F} (hl : HasFDerivWithinAt l l' t (f x)) (hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) : HasDerivWithinAt (l ∘ f) (l' f') s x := by simpa only [one_apply, one_smul, smulRight_apply, coe_comp', (· ∘ ·)] using (hl.comp x hf.hasFDerivWithinAt hst).hasDerivWithinAt #align has_fderiv_within_at.comp_has_deriv_within_at HasFDerivWithinAt.comp_hasDerivWithinAt theorem HasFDerivWithinAt.comp_hasDerivWithinAt_of_eq {t : Set F} (hl : HasFDerivWithinAt l l' t y) (hf : HasDerivWithinAt f f' s x) (hst : MapsTo f s t) (hy : y = f x) : HasDerivWithinAt (l ∘ f) (l' f') s x := by rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf hst theorem HasFDerivAt.comp_hasDerivWithinAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivWithinAt f f' s x) : HasDerivWithinAt (l ∘ f) (l' f') s x := hl.hasFDerivWithinAt.comp_hasDerivWithinAt x hf (mapsTo_univ _ _) #align has_fderiv_at.comp_has_deriv_within_at HasFDerivAt.comp_hasDerivWithinAt theorem HasFDerivAt.comp_hasDerivWithinAt_of_eq (hl : HasFDerivAt l l' y) (hf : HasDerivWithinAt f f' s x) (hy : y = f x) : HasDerivWithinAt (l ∘ f) (l' f') s x := by rw [hy] at hl; exact hl.comp_hasDerivWithinAt x hf theorem HasFDerivAt.comp_hasDerivAt (hl : HasFDerivAt l l' (f x)) (hf : HasDerivAt f f' x) : HasDerivAt (l ∘ f) (l' f') x := hasDerivWithinAt_univ.mp <| hl.comp_hasDerivWithinAt x hf.hasDerivWithinAt #align has_fderiv_at.comp_has_deriv_at HasFDerivAt.comp_hasDerivAt
Mathlib/Analysis/Calculus/Deriv/Comp.lean
382
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theorem HasFDerivAt.comp_hasDerivAt_of_eq (hl : HasFDerivAt l l' y) (hf : HasDerivAt f f' x) (hy : y = f x) : HasDerivAt (l ∘ f) (l' f') x := by
rw [hy] at hl; exact hl.comp_hasDerivAt x hf
import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Data.Set.Pointwise.Iterate import Mathlib.Dynamics.Ergodic.Ergodic import Mathlib.MeasureTheory.Covering.DensityTheorem import Mathlib.MeasureTheory.Group.AddCircle import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import dynamics.ergodic.add_circle from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655" open Set Function MeasureTheory MeasureTheory.Measure Filter Metric open scoped MeasureTheory NNReal ENNReal Topology Pointwise namespace AddCircle variable {T : ℝ} [hT : Fact (0 < T)]
Mathlib/Dynamics/Ergodic/AddCircle.lean
45
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theorem ae_empty_or_univ_of_forall_vadd_ae_eq_self {s : Set <| AddCircle T} (hs : NullMeasurableSet s volume) {ι : Type*} {l : Filter ι} [l.NeBot] {u : ι → AddCircle T} (hu₁ : ∀ i, (u i +ᵥ s : Set _) =ᵐ[volume] s) (hu₂ : Tendsto (addOrderOf ∘ u) l atTop) : s =ᵐ[volume] (∅ : Set <| AddCircle T) ∨ s =ᵐ[volume] univ := by
/- Sketch of proof: Assume `T = 1` for simplicity and let `μ` be the Haar measure. We may assume `s` has positive measure since otherwise there is nothing to prove. In this case, by Lebesgue's density theorem, there exists a point `d` of positive density. Let `Iⱼ` be the sequence of closed balls about `d` of diameter `1 / nⱼ` where `nⱼ` is the additive order of `uⱼ`. Since `d` has positive density we must have `μ (s ∩ Iⱼ) / μ Iⱼ → 1` along `l`. However since `s` is invariant under the action of `uⱼ` and since `Iⱼ` is a fundamental domain for this action, we must have `μ (s ∩ Iⱼ) = nⱼ * μ s = (μ Iⱼ) * μ s`. We thus have `μ s → 1` and thus `μ s = 1`. -/ set μ := (volume : Measure <| AddCircle T) set n : ι → ℕ := addOrderOf ∘ u have hT₀ : 0 < T := hT.out have hT₁ : ENNReal.ofReal T ≠ 0 := by simpa rw [ae_eq_empty, ae_eq_univ_iff_measure_eq hs, AddCircle.measure_univ] rcases eq_or_ne (μ s) 0 with h | h; · exact Or.inl h right obtain ⟨d, -, hd⟩ : ∃ d, d ∈ s ∧ ∀ {ι'} {l : Filter ι'} (w : ι' → AddCircle T) (δ : ι' → ℝ), Tendsto δ l (𝓝[>] 0) → (∀ᶠ j in l, d ∈ closedBall (w j) (1 * δ j)) → Tendsto (fun j => μ (s ∩ closedBall (w j) (δ j)) / μ (closedBall (w j) (δ j))) l (𝓝 1) := exists_mem_of_measure_ne_zero_of_ae h (IsUnifLocDoublingMeasure.ae_tendsto_measure_inter_div μ s 1) let I : ι → Set (AddCircle T) := fun j => closedBall d (T / (2 * ↑(n j))) replace hd : Tendsto (fun j => μ (s ∩ I j) / μ (I j)) l (𝓝 1) := by let δ : ι → ℝ := fun j => T / (2 * ↑(n j)) have hδ₀ : ∀ᶠ j in l, 0 < δ j := (hu₂.eventually_gt_atTop 0).mono fun j hj => div_pos hT₀ <| by positivity have hδ₁ : Tendsto δ l (𝓝[>] 0) := by refine tendsto_nhdsWithin_iff.mpr ⟨?_, hδ₀⟩ replace hu₂ : Tendsto (fun j => T⁻¹ * 2 * n j) l atTop := (tendsto_natCast_atTop_iff.mpr hu₂).const_mul_atTop (by positivity : 0 < T⁻¹ * 2) convert hu₂.inv_tendsto_atTop ext j simp only [δ, Pi.inv_apply, mul_inv_rev, inv_inv, div_eq_inv_mul, ← mul_assoc] have hw : ∀ᶠ j in l, d ∈ closedBall d (1 * δ j) := hδ₀.mono fun j hj => by simp only [comp_apply, one_mul, mem_closedBall, dist_self] apply hj.le exact hd _ δ hδ₁ hw suffices ∀ᶠ j in l, μ (s ∩ I j) / μ (I j) = μ s / ENNReal.ofReal T by replace hd := hd.congr' this rwa [tendsto_const_nhds_iff, ENNReal.div_eq_one_iff hT₁ ENNReal.ofReal_ne_top] at hd refine (hu₂.eventually_gt_atTop 0).mono fun j hj => ?_ have : addOrderOf (u j) = n j := rfl have huj : IsOfFinAddOrder (u j) := addOrderOf_pos_iff.mp hj have huj' : 1 ≤ (↑(n j) : ℝ) := by norm_cast have hI₀ : μ (I j) ≠ 0 := (measure_closedBall_pos _ d <| by positivity).ne.symm have hI₁ : μ (I j) ≠ ⊤ := measure_ne_top _ _ have hI₂ : μ (I j) * ↑(n j) = ENNReal.ofReal T := by rw [volume_closedBall, mul_div, mul_div_mul_left T _ two_ne_zero, min_eq_right (div_le_self hT₀.le huj'), mul_comm, ← nsmul_eq_mul, ← ENNReal.ofReal_nsmul, nsmul_eq_mul, mul_div_cancel₀] exact Nat.cast_ne_zero.mpr hj.ne' rw [ENNReal.div_eq_div_iff hT₁ ENNReal.ofReal_ne_top hI₀ hI₁, volume_of_add_preimage_eq s _ (u j) d huj (hu₁ j) closedBall_ae_eq_ball, nsmul_eq_mul, ← mul_assoc, this, hI₂]
import Mathlib.Data.List.Nodup import Mathlib.Data.List.Zip import Mathlib.Data.Nat.Defs import Mathlib.Data.List.Infix #align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u variable {α : Type u} open Nat Function namespace List theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate] #align list.rotate_mod List.rotate_mod @[simp] theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate] #align list.rotate_nil List.rotate_nil @[simp] theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate] #align list.rotate_zero List.rotate_zero -- Porting note: removing simp, simp can prove it theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl #align list.rotate'_nil List.rotate'_nil @[simp] theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl #align list.rotate'_zero List.rotate'_zero theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) : (a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate'] #align list.rotate'_cons_succ List.rotate'_cons_succ @[simp] theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length | [], _ => by simp | a :: l, 0 => rfl | a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp #align list.length_rotate' List.length_rotate' theorem rotate'_eq_drop_append_take : ∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n | [], n, h => by simp [drop_append_of_le_length h] | l, 0, h => by simp [take_append_of_le_length h] | a :: l, n + 1, h => by have hnl : n ≤ l.length := le_of_succ_le_succ h have hnl' : n ≤ (l ++ [a]).length := by rw [length_append, length_cons, List.length]; exact le_of_succ_le h rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take, drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp #align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m) | a :: l, 0, m => by simp | [], n, m => by simp | a :: l, n + 1, m => by rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ, Nat.succ_eq_add_one] #align list.rotate'_rotate' List.rotate'_rotate' @[simp] theorem rotate'_length (l : List α) : rotate' l l.length = l := by rw [rotate'_eq_drop_append_take le_rfl]; simp #align list.rotate'_length List.rotate'_length @[simp] theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l | 0 => by simp | n + 1 => calc l.rotate' (l.length * (n + 1)) = (l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by simp [-rotate'_length, Nat.mul_succ, rotate'_rotate'] _ = l := by rw [rotate'_length, rotate'_length_mul l n] #align list.rotate'_length_mul List.rotate'_length_mul theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n := calc l.rotate' (n % l.length) = (l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) := by rw [rotate'_length_mul] _ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div] #align list.rotate'_mod List.rotate'_mod theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n := if h : l.length = 0 then by simp_all [length_eq_zero] else by rw [← rotate'_mod, rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))]; simp [rotate] #align list.rotate_eq_rotate' List.rotate_eq_rotate' theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) : (a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ] #align list.rotate_cons_succ List.rotate_cons_succ @[simp] theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l | [], _, n => by simp | a :: l, _, 0 => by simp | a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm] #align list.mem_rotate List.mem_rotate @[simp] theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by rw [rotate_eq_rotate', length_rotate'] #align list.length_rotate List.length_rotate @[simp] theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a := eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb => eq_of_mem_replicate <| mem_rotate.1 hb⟩ #align list.rotate_replicate List.rotate_replicate theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} : n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take #align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} : l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by rcases l.length.zero_le.eq_or_lt with hl | hl · simp [eq_nil_of_length_eq_zero hl.symm] rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod] #align list.rotate_eq_drop_append_take_mod List.rotate_eq_drop_append_take_mod @[simp] theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by rw [rotate_eq_rotate'] induction l generalizing l' · simp · simp_all [rotate'] #align list.rotate_append_length_eq List.rotate_append_length_eq theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate'] #align list.rotate_rotate List.rotate_rotate @[simp] theorem rotate_length (l : List α) : rotate l l.length = l := by rw [rotate_eq_rotate', rotate'_length] #align list.rotate_length List.rotate_length @[simp] theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by rw [rotate_eq_rotate', rotate'_length_mul] #align list.rotate_length_mul List.rotate_length_mul theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by rw [rotate_eq_rotate'] induction' n with n hn generalizing l · simp · cases' l with hd tl · simp · rw [rotate'_cons_succ] exact (hn _).trans (perm_append_singleton _ _) #align list.rotate_perm List.rotate_perm @[simp] theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l := (rotate_perm l n).nodup_iff #align list.nodup_rotate List.nodup_rotate @[simp] theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by induction' n with n hn generalizing l · simp · cases' l with hd tl · simp · simp [rotate_cons_succ, hn] #align list.rotate_eq_nil_iff List.rotate_eq_nil_iff @[simp] theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by rw [eq_comm, rotate_eq_nil_iff, eq_comm] #align list.nil_eq_rotate_iff List.nil_eq_rotate_iff @[simp] theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] := rotate_replicate x 1 n #align list.rotate_singleton List.rotate_singleton theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ) (h : l.length = l'.length) : (zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod, h, zipWith_append, ← zipWith_distrib_drop, ← zipWith_distrib_take, List.length_zipWith, h, min_self] rw [length_drop, length_drop, h] #align list.zip_with_rotate_distrib List.zipWith_rotate_distrib attribute [local simp] rotate_cons_succ -- Porting note: removing @[simp], simp can prove it
Mathlib/Data/List/Rotate.lean
222
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theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) : zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by
simp
import Mathlib.Data.PFunctor.Multivariate.Basic #align_import data.pfunctor.multivariate.W from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe u v namespace MvPFunctor open TypeVec open MvFunctor variable {n : ℕ} (P : MvPFunctor.{u} (n + 1)) inductive WPath : P.last.W → Fin2 n → Type u | root (a : P.A) (f : P.last.B a → P.last.W) (i : Fin2 n) (c : P.drop.B a i) : WPath ⟨a, f⟩ i | child (a : P.A) (f : P.last.B a → P.last.W) (i : Fin2 n) (j : P.last.B a) (c : WPath (f j) i) : WPath ⟨a, f⟩ i set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path MvPFunctor.WPath instance WPath.inhabited (x : P.last.W) {i} [I : Inhabited (P.drop.B x.head i)] : Inhabited (WPath P x i) := ⟨match x, I with | ⟨a, f⟩, I => WPath.root a f i (@default _ I)⟩ set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path.inhabited MvPFunctor.WPath.inhabited def wPathCasesOn {α : TypeVec n} {a : P.A} {f : P.last.B a → P.last.W} (g' : P.drop.B a ⟹ α) (g : ∀ j : P.last.B a, P.WPath (f j) ⟹ α) : P.WPath ⟨a, f⟩ ⟹ α := by intro i x; match x with | WPath.root _ _ i c => exact g' i c | WPath.child _ _ i j c => exact g j i c set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path_cases_on MvPFunctor.wPathCasesOn def wPathDestLeft {α : TypeVec n} {a : P.A} {f : P.last.B a → P.last.W} (h : P.WPath ⟨a, f⟩ ⟹ α) : P.drop.B a ⟹ α := fun i c => h i (WPath.root a f i c) set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path_dest_left MvPFunctor.wPathDestLeft def wPathDestRight {α : TypeVec n} {a : P.A} {f : P.last.B a → P.last.W} (h : P.WPath ⟨a, f⟩ ⟹ α) : ∀ j : P.last.B a, P.WPath (f j) ⟹ α := fun j i c => h i (WPath.child a f i j c) set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path_dest_right MvPFunctor.wPathDestRight theorem wPathDestLeft_wPathCasesOn {α : TypeVec n} {a : P.A} {f : P.last.B a → P.last.W} (g' : P.drop.B a ⟹ α) (g : ∀ j : P.last.B a, P.WPath (f j) ⟹ α) : P.wPathDestLeft (P.wPathCasesOn g' g) = g' := rfl set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path_dest_left_W_path_cases_on MvPFunctor.wPathDestLeft_wPathCasesOn theorem wPathDestRight_wPathCasesOn {α : TypeVec n} {a : P.A} {f : P.last.B a → P.last.W} (g' : P.drop.B a ⟹ α) (g : ∀ j : P.last.B a, P.WPath (f j) ⟹ α) : P.wPathDestRight (P.wPathCasesOn g' g) = g := rfl set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path_dest_right_W_path_cases_on MvPFunctor.wPathDestRight_wPathCasesOn theorem wPathCasesOn_eta {α : TypeVec n} {a : P.A} {f : P.last.B a → P.last.W} (h : P.WPath ⟨a, f⟩ ⟹ α) : P.wPathCasesOn (P.wPathDestLeft h) (P.wPathDestRight h) = h := by ext i x; cases x <;> rfl set_option linter.uppercaseLean3 false in #align mvpfunctor.W_path_cases_on_eta MvPFunctor.wPathCasesOn_eta theorem comp_wPathCasesOn {α β : TypeVec n} (h : α ⟹ β) {a : P.A} {f : P.last.B a → P.last.W} (g' : P.drop.B a ⟹ α) (g : ∀ j : P.last.B a, P.WPath (f j) ⟹ α) : h ⊚ P.wPathCasesOn g' g = P.wPathCasesOn (h ⊚ g') fun i => h ⊚ g i := by ext i x; cases x <;> rfl set_option linter.uppercaseLean3 false in #align mvpfunctor.comp_W_path_cases_on MvPFunctor.comp_wPathCasesOn def wp : MvPFunctor n where A := P.last.W B := P.WPath set_option linter.uppercaseLean3 false in #align mvpfunctor.Wp MvPFunctor.wp -- Porting note(#5171): used to have @[nolint has_nonempty_instance] def W (α : TypeVec n) : Type _ := P.wp α set_option linter.uppercaseLean3 false in #align mvpfunctor.W MvPFunctor.W instance mvfunctorW : MvFunctor P.W := by delta MvPFunctor.W; infer_instance set_option linter.uppercaseLean3 false in #align mvpfunctor.mvfunctor_W MvPFunctor.mvfunctorW def wpMk {α : TypeVec n} (a : P.A) (f : P.last.B a → P.last.W) (f' : P.WPath ⟨a, f⟩ ⟹ α) : P.W α := ⟨⟨a, f⟩, f'⟩ set_option linter.uppercaseLean3 false in #align mvpfunctor.Wp_mk MvPFunctor.wpMk def wpRec {α : TypeVec n} {C : Type*} (g : ∀ (a : P.A) (f : P.last.B a → P.last.W), P.WPath ⟨a, f⟩ ⟹ α → (P.last.B a → C) → C) : ∀ (x : P.last.W) (_ : P.WPath x ⟹ α), C | ⟨a, f⟩, f' => g a f f' fun i => wpRec g (f i) (P.wPathDestRight f' i) set_option linter.uppercaseLean3 false in #align mvpfunctor.Wp_rec MvPFunctor.wpRec theorem wpRec_eq {α : TypeVec n} {C : Type*} (g : ∀ (a : P.A) (f : P.last.B a → P.last.W), P.WPath ⟨a, f⟩ ⟹ α → (P.last.B a → C) → C) (a : P.A) (f : P.last.B a → P.last.W) (f' : P.WPath ⟨a, f⟩ ⟹ α) : P.wpRec g ⟨a, f⟩ f' = g a f f' fun i => P.wpRec g (f i) (P.wPathDestRight f' i) := rfl set_option linter.uppercaseLean3 false in #align mvpfunctor.Wp_rec_eq MvPFunctor.wpRec_eq -- Note: we could replace Prop by Type* and obtain a dependent recursor theorem wp_ind {α : TypeVec n} {C : ∀ x : P.last.W, P.WPath x ⟹ α → Prop} (ih : ∀ (a : P.A) (f : P.last.B a → P.last.W) (f' : P.WPath ⟨a, f⟩ ⟹ α), (∀ i : P.last.B a, C (f i) (P.wPathDestRight f' i)) → C ⟨a, f⟩ f') : ∀ (x : P.last.W) (f' : P.WPath x ⟹ α), C x f' | ⟨a, f⟩, f' => ih a f f' fun _i => wp_ind ih _ _ set_option linter.uppercaseLean3 false in #align mvpfunctor.Wp_ind MvPFunctor.wp_ind def wMk {α : TypeVec n} (a : P.A) (f' : P.drop.B a ⟹ α) (f : P.last.B a → P.W α) : P.W α := let g : P.last.B a → P.last.W := fun i => (f i).fst let g' : P.WPath ⟨a, g⟩ ⟹ α := P.wPathCasesOn f' fun i => (f i).snd ⟨⟨a, g⟩, g'⟩ set_option linter.uppercaseLean3 false in #align mvpfunctor.W_mk MvPFunctor.wMk def wRec {α : TypeVec n} {C : Type*} (g : ∀ a : P.A, P.drop.B a ⟹ α → (P.last.B a → P.W α) → (P.last.B a → C) → C) : P.W α → C | ⟨a, f'⟩ => let g' (a : P.A) (f : P.last.B a → P.last.W) (h : P.WPath ⟨a, f⟩ ⟹ α) (h' : P.last.B a → C) : C := g a (P.wPathDestLeft h) (fun i => ⟨f i, P.wPathDestRight h i⟩) h' P.wpRec g' a f' set_option linter.uppercaseLean3 false in #align mvpfunctor.W_rec MvPFunctor.wRec theorem wRec_eq {α : TypeVec n} {C : Type*} (g : ∀ a : P.A, P.drop.B a ⟹ α → (P.last.B a → P.W α) → (P.last.B a → C) → C) (a : P.A) (f' : P.drop.B a ⟹ α) (f : P.last.B a → P.W α) : P.wRec g (P.wMk a f' f) = g a f' f fun i => P.wRec g (f i) := by rw [wMk, wRec]; dsimp; rw [wpRec_eq] dsimp only [wPathDestLeft_wPathCasesOn, wPathDestRight_wPathCasesOn] congr set_option linter.uppercaseLean3 false in #align mvpfunctor.W_rec_eq MvPFunctor.wRec_eq
Mathlib/Data/PFunctor/Multivariate/W.lean
217
228
theorem w_ind {α : TypeVec n} {C : P.W α → Prop} (ih : ∀ (a : P.A) (f' : P.drop.B a ⟹ α) (f : P.last.B a → P.W α), (∀ i, C (f i)) → C (P.wMk a f' f)) : ∀ x, C x := by
intro x; cases' x with a f apply @wp_ind n P α fun a f => C ⟨a, f⟩ intro a f f' ih' dsimp [wMk] at ih let ih'' := ih a (P.wPathDestLeft f') fun i => ⟨f i, P.wPathDestRight f' i⟩ dsimp at ih''; rw [wPathCasesOn_eta] at ih'' apply ih'' apply ih'
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd" namespace Polynomial open Polynomial Finsupp Finset open Polynomial section Semiring variable {R : Type*} [Semiring R] {f : R[X]} def revAtFun (N i : ℕ) : ℕ := ite (i ≤ N) (N - i) i #align polynomial.rev_at_fun Polynomial.revAtFun theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by unfold revAtFun split_ifs with h j · exact tsub_tsub_cancel_of_le h · exfalso apply j exact Nat.sub_le N i · rfl #align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by intro a b hab rw [← @revAtFun_invol N a, hab, revAtFun_invol] #align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj def revAt (N : ℕ) : Function.Embedding ℕ ℕ where toFun i := ite (i ≤ N) (N - i) i inj' := revAtFun_inj #align polynomial.rev_at Polynomial.revAt @[simp] theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i := rfl #align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq @[simp] theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i := revAtFun_invol #align polynomial.rev_at_invol Polynomial.revAt_invol @[simp] theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i := if_pos H #align polynomial.rev_at_le Polynomial.revAt_le lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h] theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) : revAt (N + O) (n + o) = revAt N n + revAt O o := by rcases Nat.le.dest hn with ⟨n', rfl⟩ rcases Nat.le.dest ho with ⟨o', rfl⟩ repeat' rw [revAt_le (le_add_right rfl.le)] rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)] repeat' rw [add_tsub_cancel_left] #align polynomial.rev_at_add Polynomial.revAt_add -- @[simp] -- Porting note (#10618): simp can prove this theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp #align polynomial.rev_at_zero Polynomial.revAt_zero noncomputable def reflect (N : ℕ) : R[X] → R[X] | ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩ #align polynomial.reflect Polynomial.reflect theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image] #align polynomial.reflect_support Polynomial.reflect_support @[simp] theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by rcases f with ⟨f⟩ simp only [reflect, coeff] calc Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by rw [revAt_invol] _ = f (revAt N i) := Finsupp.embDomain_apply _ _ _ #align polynomial.coeff_reflect Polynomial.coeff_reflect @[simp] theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 := rfl #align polynomial.reflect_zero Polynomial.reflect_zero @[simp] theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero] #align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff @[simp] theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by ext simp only [coeff_add, coeff_reflect] #align polynomial.reflect_add Polynomial.reflect_add @[simp]
Mathlib/Algebra/Polynomial/Reverse.lean
139
141
theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by
ext simp only [coeff_reflect, coeff_C_mul]
import Mathlib.Data.Set.Function import Mathlib.Logic.Equiv.Defs import Mathlib.Tactic.Says #align_import logic.equiv.set from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9" open Function Set universe u v w z variable {α : Sort u} {β : Sort v} {γ : Sort w} namespace Equiv @[simp] theorem range_eq_univ {α : Type*} {β : Type*} (e : α ≃ β) : range e = univ := eq_univ_of_forall e.surjective #align equiv.range_eq_univ Equiv.range_eq_univ protected theorem image_eq_preimage {α β} (e : α ≃ β) (s : Set α) : e '' s = e.symm ⁻¹' s := Set.ext fun _ => mem_image_iff_of_inverse e.left_inv e.right_inv #align equiv.image_eq_preimage Equiv.image_eq_preimage @[simp 1001] theorem _root_.Set.mem_image_equiv {α β} {S : Set α} {f : α ≃ β} {x : β} : x ∈ f '' S ↔ f.symm x ∈ S := Set.ext_iff.mp (f.image_eq_preimage S) x #align set.mem_image_equiv Set.mem_image_equiv theorem _root_.Set.image_equiv_eq_preimage_symm {α β} (S : Set α) (f : α ≃ β) : f '' S = f.symm ⁻¹' S := f.image_eq_preimage S #align set.image_equiv_eq_preimage_symm Set.image_equiv_eq_preimage_symm theorem _root_.Set.preimage_equiv_eq_image_symm {α β} (S : Set α) (f : β ≃ α) : f ⁻¹' S = f.symm '' S := (f.symm.image_eq_preimage S).symm #align set.preimage_equiv_eq_image_symm Set.preimage_equiv_eq_image_symm -- Porting note: increased priority so this fires before `image_subset_iff` @[simp high] protected theorem symm_image_subset {α β} (e : α ≃ β) (s : Set α) (t : Set β) : e.symm '' t ⊆ s ↔ t ⊆ e '' s := by rw [image_subset_iff, e.image_eq_preimage] #align equiv.subset_image Equiv.symm_image_subset @[deprecated (since := "2024-01-19")] alias subset_image := Equiv.symm_image_subset -- Porting note: increased priority so this fires before `image_subset_iff` @[simp high] protected theorem subset_symm_image {α β} (e : α ≃ β) (s : Set α) (t : Set β) : s ⊆ e.symm '' t ↔ e '' s ⊆ t := calc s ⊆ e.symm '' t ↔ e.symm.symm '' s ⊆ t := by rw [e.symm.symm_image_subset] _ ↔ e '' s ⊆ t := by rw [e.symm_symm] #align equiv.subset_image' Equiv.subset_symm_image @[deprecated (since := "2024-01-19")] alias subset_image' := Equiv.subset_symm_image @[simp] theorem symm_image_image {α β} (e : α ≃ β) (s : Set α) : e.symm '' (e '' s) = s := e.leftInverse_symm.image_image s #align equiv.symm_image_image Equiv.symm_image_image theorem eq_image_iff_symm_image_eq {α β} (e : α ≃ β) (s : Set α) (t : Set β) : t = e '' s ↔ e.symm '' t = s := (e.symm.injective.image_injective.eq_iff' (e.symm_image_image s)).symm #align equiv.eq_image_iff_symm_image_eq Equiv.eq_image_iff_symm_image_eq @[simp] theorem image_symm_image {α β} (e : α ≃ β) (s : Set β) : e '' (e.symm '' s) = s := e.symm.symm_image_image s #align equiv.image_symm_image Equiv.image_symm_image @[simp] theorem image_preimage {α β} (e : α ≃ β) (s : Set β) : e '' (e ⁻¹' s) = s := e.surjective.image_preimage s #align equiv.image_preimage Equiv.image_preimage @[simp] theorem preimage_image {α β} (e : α ≃ β) (s : Set α) : e ⁻¹' (e '' s) = s := e.injective.preimage_image s #align equiv.preimage_image Equiv.preimage_image protected theorem image_compl {α β} (f : Equiv α β) (s : Set α) : f '' sᶜ = (f '' s)ᶜ := image_compl_eq f.bijective #align equiv.image_compl Equiv.image_compl @[simp] theorem symm_preimage_preimage {α β} (e : α ≃ β) (s : Set β) : e.symm ⁻¹' (e ⁻¹' s) = s := e.rightInverse_symm.preimage_preimage s #align equiv.symm_preimage_preimage Equiv.symm_preimage_preimage @[simp] theorem preimage_symm_preimage {α β} (e : α ≃ β) (s : Set α) : e ⁻¹' (e.symm ⁻¹' s) = s := e.leftInverse_symm.preimage_preimage s #align equiv.preimage_symm_preimage Equiv.preimage_symm_preimage theorem preimage_subset {α β} (e : α ≃ β) (s t : Set β) : e ⁻¹' s ⊆ e ⁻¹' t ↔ s ⊆ t := e.surjective.preimage_subset_preimage_iff #align equiv.preimage_subset Equiv.preimage_subset -- Porting note (#10618): removed `simp` attribute. `simp` can prove it. theorem image_subset {α β} (e : α ≃ β) (s t : Set α) : e '' s ⊆ e '' t ↔ s ⊆ t := image_subset_image_iff e.injective #align equiv.image_subset Equiv.image_subset @[simp] theorem image_eq_iff_eq {α β} (e : α ≃ β) (s t : Set α) : e '' s = e '' t ↔ s = t := image_eq_image e.injective #align equiv.image_eq_iff_eq Equiv.image_eq_iff_eq theorem preimage_eq_iff_eq_image {α β} (e : α ≃ β) (s t) : e ⁻¹' s = t ↔ s = e '' t := Set.preimage_eq_iff_eq_image e.bijective #align equiv.preimage_eq_iff_eq_image Equiv.preimage_eq_iff_eq_image theorem eq_preimage_iff_image_eq {α β} (e : α ≃ β) (s t) : s = e ⁻¹' t ↔ e '' s = t := Set.eq_preimage_iff_image_eq e.bijective #align equiv.eq_preimage_iff_image_eq Equiv.eq_preimage_iff_image_eq lemma setOf_apply_symm_eq_image_setOf {α β} (e : α ≃ β) (p : α → Prop) : {b | p (e.symm b)} = e '' {a | p a} := by rw [Equiv.image_eq_preimage, preimage_setOf_eq] @[simp] theorem prod_assoc_preimage {α β γ} {s : Set α} {t : Set β} {u : Set γ} : Equiv.prodAssoc α β γ ⁻¹' s ×ˢ t ×ˢ u = (s ×ˢ t) ×ˢ u := by ext simp [and_assoc] #align equiv.prod_assoc_preimage Equiv.prod_assoc_preimage @[simp] theorem prod_assoc_symm_preimage {α β γ} {s : Set α} {t : Set β} {u : Set γ} : (Equiv.prodAssoc α β γ).symm ⁻¹' (s ×ˢ t) ×ˢ u = s ×ˢ t ×ˢ u := by ext simp [and_assoc] #align equiv.prod_assoc_symm_preimage Equiv.prod_assoc_symm_preimage -- `@[simp]` doesn't like these lemmas, as it uses `Set.image_congr'` to turn `Equiv.prodAssoc` -- into a lambda expression and then unfold it. theorem prod_assoc_image {α β γ} {s : Set α} {t : Set β} {u : Set γ} : Equiv.prodAssoc α β γ '' (s ×ˢ t) ×ˢ u = s ×ˢ t ×ˢ u := by simpa only [Equiv.image_eq_preimage] using prod_assoc_symm_preimage #align equiv.prod_assoc_image Equiv.prod_assoc_image theorem prod_assoc_symm_image {α β γ} {s : Set α} {t : Set β} {u : Set γ} : (Equiv.prodAssoc α β γ).symm '' s ×ˢ t ×ˢ u = (s ×ˢ t) ×ˢ u := by simpa only [Equiv.image_eq_preimage] using prod_assoc_preimage #align equiv.prod_assoc_symm_image Equiv.prod_assoc_symm_image def setProdEquivSigma {α β : Type*} (s : Set (α × β)) : s ≃ Σx : α, { y : β | (x, y) ∈ s } where toFun x := ⟨x.1.1, x.1.2, by simp⟩ invFun x := ⟨(x.1, x.2.1), x.2.2⟩ left_inv := fun ⟨⟨x, y⟩, h⟩ => rfl right_inv := fun ⟨x, y, h⟩ => rfl #align equiv.set_prod_equiv_sigma Equiv.setProdEquivSigma @[simps! apply] def setCongr {α : Type*} {s t : Set α} (h : s = t) : s ≃ t := subtypeEquivProp h #align equiv.set_congr Equiv.setCongr #align equiv.set_congr_apply Equiv.setCongr_apply -- We could construct this using `Equiv.Set.image e s e.injective`, -- but this definition provides an explicit inverse. @[simps] def image {α β : Type*} (e : α ≃ β) (s : Set α) : s ≃ e '' s where toFun x := ⟨e x.1, by simp⟩ invFun y := ⟨e.symm y.1, by rcases y with ⟨-, ⟨a, ⟨m, rfl⟩⟩⟩ simpa using m⟩ left_inv x := by simp right_inv y := by simp #align equiv.image Equiv.image #align equiv.image_symm_apply_coe Equiv.image_symm_apply_coe #align equiv.image_apply_coe Equiv.image_apply_coe @[simps] def ofLeftInverse {α β : Sort _} (f : α → β) (f_inv : Nonempty α → β → α) (hf : ∀ h : Nonempty α, LeftInverse (f_inv h) f) : α ≃ range f where toFun a := ⟨f a, a, rfl⟩ invFun b := f_inv (nonempty_of_exists b.2) b left_inv a := hf ⟨a⟩ a right_inv := fun ⟨b, a, ha⟩ => Subtype.eq <| show f (f_inv ⟨a⟩ b) = b from Eq.trans (congr_arg f <| ha ▸ hf _ a) ha #align equiv.of_left_inverse Equiv.ofLeftInverse #align equiv.of_left_inverse_apply_coe Equiv.ofLeftInverse_apply_coe #align equiv.of_left_inverse_symm_apply Equiv.ofLeftInverse_symm_apply abbrev ofLeftInverse' {α β : Sort _} (f : α → β) (f_inv : β → α) (hf : LeftInverse f_inv f) : α ≃ range f := ofLeftInverse f (fun _ => f_inv) fun _ => hf #align equiv.of_left_inverse' Equiv.ofLeftInverse' @[simps! apply] noncomputable def ofInjective {α β} (f : α → β) (hf : Injective f) : α ≃ range f := Equiv.ofLeftInverse f (fun _ => Function.invFun f) fun _ => Function.leftInverse_invFun hf #align equiv.of_injective Equiv.ofInjective #align equiv.of_injective_apply Equiv.ofInjective_apply theorem apply_ofInjective_symm {α β} {f : α → β} (hf : Injective f) (b : range f) : f ((ofInjective f hf).symm b) = b := Subtype.ext_iff.1 <| (ofInjective f hf).apply_symm_apply b #align equiv.apply_of_injective_symm Equiv.apply_ofInjective_symm @[simp] theorem ofInjective_symm_apply {α β} {f : α → β} (hf : Injective f) (a : α) : (ofInjective f hf).symm ⟨f a, ⟨a, rfl⟩⟩ = a := by apply (ofInjective f hf).injective simp [apply_ofInjective_symm hf] #align equiv.of_injective_symm_apply Equiv.ofInjective_symm_apply theorem coe_ofInjective_symm {α β} {f : α → β} (hf : Injective f) : ((ofInjective f hf).symm : range f → α) = rangeSplitting f := by ext ⟨y, x, rfl⟩ apply hf simp [apply_rangeSplitting f] #align equiv.coe_of_injective_symm Equiv.coe_ofInjective_symm @[simp] theorem self_comp_ofInjective_symm {α β} {f : α → β} (hf : Injective f) : f ∘ (ofInjective f hf).symm = Subtype.val := funext fun x => apply_ofInjective_symm hf x #align equiv.self_comp_of_injective_symm Equiv.self_comp_ofInjective_symm theorem ofLeftInverse_eq_ofInjective {α β : Type*} (f : α → β) (f_inv : Nonempty α → β → α) (hf : ∀ h : Nonempty α, LeftInverse (f_inv h) f) : ofLeftInverse f f_inv hf = ofInjective f ((isEmpty_or_nonempty α).elim (fun h _ _ _ => Subsingleton.elim _ _) (fun h => (hf h).injective)) := by ext simp #align equiv.of_left_inverse_eq_of_injective Equiv.ofLeftInverse_eq_ofInjective theorem ofLeftInverse'_eq_ofInjective {α β : Type*} (f : α → β) (f_inv : β → α) (hf : LeftInverse f_inv f) : ofLeftInverse' f f_inv hf = ofInjective f hf.injective := by ext simp #align equiv.of_left_inverse'_eq_of_injective Equiv.ofLeftInverse'_eq_ofInjective protected theorem set_forall_iff {α β} (e : α ≃ β) {p : Set α → Prop} : (∀ a, p a) ↔ ∀ a, p (e ⁻¹' a) := e.injective.preimage_surjective.forall #align equiv.set_forall_iff Equiv.set_forall_iff
Mathlib/Logic/Equiv/Set.lean
662
670
theorem preimage_piEquivPiSubtypeProd_symm_pi {α : Type*} {β : α → Type*} (p : α → Prop) [DecidablePred p] (s : ∀ i, Set (β i)) : (piEquivPiSubtypeProd p β).symm ⁻¹' pi univ s = (pi univ fun i : { i // p i } => s i) ×ˢ pi univ fun i : { i // ¬p i } => s i := by
ext ⟨f, g⟩ simp only [mem_preimage, mem_univ_pi, prod_mk_mem_set_prod_eq, Subtype.forall, ← forall_and] refine forall_congr' fun i => ?_ dsimp only [Subtype.coe_mk] by_cases hi : p i <;> simp [hi]
import Mathlib.Algebra.Group.Defs import Mathlib.Algebra.Group.Prod import Mathlib.Data.PNat.Basic import Mathlib.GroupTheory.GroupAction.Prod variable {M : Type*} class PNatPowAssoc (M : Type*) [Mul M] [Pow M ℕ+] : Prop where protected ppow_add : ∀ (k n : ℕ+) (x : M), x ^ (k + n) = x ^ k * x ^ n protected ppow_one : ∀ (x : M), x ^ (1 : ℕ+) = x section Mul variable [Mul M] [Pow M ℕ+] [PNatPowAssoc M] theorem ppow_add (k n : ℕ+) (x : M) : x ^ (k + n) = x ^ k * x ^ n := PNatPowAssoc.ppow_add k n x @[simp] theorem ppow_one (x : M) : x ^ (1 : ℕ+) = x := PNatPowAssoc.ppow_one x theorem ppow_mul_assoc (k m n : ℕ+) (x : M) : (x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by simp only [← ppow_add, add_assoc]
Mathlib/Algebra/Group/PNatPowAssoc.lean
64
65
theorem ppow_mul_comm (m n : ℕ+) (x : M) : x ^ m * x ^ n = x ^ n * x ^ m := by
simp only [← ppow_add, add_comm]
import Mathlib.Algebra.Module.Submodule.Map #align_import linear_algebra.basic from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" open Function open Pointwise variable {R : Type*} {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} variable {K : Type*} variable {M : Type*} {M₁ : Type*} {M₂ : Type*} {M₃ : Type*} variable {V : Type*} {V₂ : Type*} namespace LinearMap section AddCommMonoid variable [Semiring R] [Semiring R₂] [Semiring R₃] variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] variable {σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃} variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] variable [Module R M] [Module R₂ M₂] [Module R₃ M₃] open Submodule variable {σ₂₁ : R₂ →+* R} {τ₁₂ : R →+* R₂} {τ₂₃ : R₂ →+* R₃} {τ₁₃ : R →+* R₃} variable [RingHomCompTriple τ₁₂ τ₂₃ τ₁₃] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂] def ker (f : F) : Submodule R M := comap f ⊥ #align linear_map.ker LinearMap.ker @[simp] theorem mem_ker {f : F} {y} : y ∈ ker f ↔ f y = 0 := mem_bot R₂ #align linear_map.mem_ker LinearMap.mem_ker @[simp] theorem ker_id : ker (LinearMap.id : M →ₗ[R] M) = ⊥ := rfl #align linear_map.ker_id LinearMap.ker_id @[simp] theorem map_coe_ker (f : F) (x : ker f) : f x = 0 := mem_ker.1 x.2 #align linear_map.map_coe_ker LinearMap.map_coe_ker theorem ker_toAddSubmonoid (f : M →ₛₗ[τ₁₂] M₂) : f.ker.toAddSubmonoid = (AddMonoidHom.mker f) := rfl #align linear_map.ker_to_add_submonoid LinearMap.ker_toAddSubmonoid theorem comp_ker_subtype (f : M →ₛₗ[τ₁₂] M₂) : f.comp f.ker.subtype = 0 := LinearMap.ext fun x => mem_ker.1 x.2 #align linear_map.comp_ker_subtype LinearMap.comp_ker_subtype theorem ker_comp (f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : ker (g.comp f : M →ₛₗ[τ₁₃] M₃) = comap f (ker g) := rfl #align linear_map.ker_comp LinearMap.ker_comp theorem ker_le_ker_comp (f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : ker f ≤ ker (g.comp f : M →ₛₗ[τ₁₃] M₃) := by rw [ker_comp]; exact comap_mono bot_le #align linear_map.ker_le_ker_comp LinearMap.ker_le_ker_comp theorem ker_sup_ker_le_ker_comp_of_commute {f g : M →ₗ[R] M} (h : Commute f g) : ker f ⊔ ker g ≤ ker (f ∘ₗ g) := by refine sup_le_iff.mpr ⟨?_, ker_le_ker_comp g f⟩ rw [← mul_eq_comp, h.eq, mul_eq_comp] exact ker_le_ker_comp f g @[simp] theorem ker_le_comap {p : Submodule R₂ M₂} (f : M →ₛₗ[τ₁₂] M₂) : ker f ≤ p.comap f := fun x hx ↦ by simp [mem_ker.mp hx] theorem disjoint_ker {f : F} {p : Submodule R M} : Disjoint p (ker f) ↔ ∀ x ∈ p, f x = 0 → x = 0 := by simp [disjoint_def] #align linear_map.disjoint_ker LinearMap.disjoint_ker theorem ker_eq_bot' {f : F} : ker f = ⊥ ↔ ∀ m, f m = 0 → m = 0 := by simpa [disjoint_iff_inf_le] using disjoint_ker (f := f) (p := ⊤) #align linear_map.ker_eq_bot' LinearMap.ker_eq_bot' theorem ker_eq_bot_of_inverse {τ₂₁ : R₂ →+* R} [RingHomInvPair τ₁₂ τ₂₁] {f : M →ₛₗ[τ₁₂] M₂} {g : M₂ →ₛₗ[τ₂₁] M} (h : (g.comp f : M →ₗ[R] M) = id) : ker f = ⊥ := ker_eq_bot'.2 fun m hm => by rw [← id_apply (R := R) m, ← h, comp_apply, hm, g.map_zero] #align linear_map.ker_eq_bot_of_inverse LinearMap.ker_eq_bot_of_inverse
Mathlib/Algebra/Module/Submodule/Ker.lean
121
122
theorem le_ker_iff_map [RingHomSurjective τ₁₂] {f : F} {p : Submodule R M} : p ≤ ker f ↔ map f p = ⊥ := by
rw [ker, eq_bot_iff, map_le_iff_le_comap]
import Mathlib.Algebra.MvPolynomial.PDeriv import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Sum import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Polynomial.Pochhammer #align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Nat (choose) open Polynomial (X) open scoped Polynomial variable (R : Type*) [CommRing R] def bernsteinPolynomial (n ν : ℕ) : R[X] := (choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) #align bernstein_polynomial bernsteinPolynomial example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by norm_num [bernsteinPolynomial, choose] ring namespace bernsteinPolynomial
Mathlib/RingTheory/Polynomial/Bernstein.lean
61
62
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith)
Mathlib/Analysis/MeanInequalities.lean
150
166
theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = x := calc ∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by
refine prod_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with h₀ | h₀ · rw [h₀, rpow_zero, rpow_zero] · rw [hx i hi h₀] _ = x := by rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one] have : (∑ i ∈ s, w i) ≠ 0 := by rw [hw'] exact one_ne_zero obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this rw [← hx i his hi] exact hz i his
import Mathlib.Topology.Constructions #align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set Filter Function Topology Filter variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} variable [TopologicalSpace α] @[simp] theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a := bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl #align nhds_bind_nhds_within nhds_bind_nhdsWithin @[simp] theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x } #align eventually_nhds_nhds_within eventually_nhds_nhdsWithin theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x := eventually_inf_principal #align eventually_nhds_within_iff eventually_nhdsWithin_iff theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} : (∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s := frequently_inf_principal.trans <| by simp only [and_comm] #align frequently_nhds_within_iff frequently_nhdsWithin_iff theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} : z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff] #align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within @[simp] theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩ simp only [eventually_nhdsWithin_iff] at h ⊢ exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs #align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin theorem nhdsWithin_eq (a : α) (s : Set α) : 𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) := ((nhds_basis_opens a).inf_principal s).eq_biInf #align nhds_within_eq nhdsWithin_eq theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by rw [nhdsWithin, principal_univ, inf_top_eq] #align nhds_within_univ nhdsWithin_univ theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s) (t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t := h.inf_principal t #align nhds_within_has_basis nhdsWithin_hasBasis theorem nhdsWithin_basis_open (a : α) (t : Set α) : (𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t := nhdsWithin_hasBasis (nhds_basis_opens a) t #align nhds_within_basis_open nhdsWithin_basis_open theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff #align mem_nhds_within mem_nhdsWithin theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t := (nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff #align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) : s \ t ∈ 𝓝[tᶜ] x := diff_mem_inf_principal_compl hs t #align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) : s \ t' ∈ 𝓝[t \ t'] x := by rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc] exact inter_mem_inf hs (mem_principal_self _) #align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) : t ∈ 𝓝 a := by rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩ exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw #align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t := eventually_inf_principal #align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and] #align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t := set_eventuallyEq_iff_inf_principal.symm #align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x := set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal #align nhds_within_le_iff nhdsWithin_le_iff -- Porting note: golfed, dropped an unneeded assumption theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝[t] a := by lift a to t using h replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs rwa [← map_nhds_subtype_val, mem_map] #align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a := mem_inf_of_left h #align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a := mem_inf_of_right (mem_principal_self s) #align self_mem_nhds_within self_mem_nhdsWithin theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s := self_mem_nhdsWithin #align eventually_mem_nhds_within eventually_mem_nhdsWithin theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a := inter_mem self_mem_nhdsWithin (mem_inf_of_left h) #align inter_mem_nhds_within inter_mem_nhdsWithin theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a := inf_le_inf_left _ (principal_mono.mpr h) #align nhds_within_mono nhdsWithin_mono theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a := le_inf (pure_le_nhds a) (le_principal_iff.2 ha) #align pure_le_nhds_within pure_le_nhdsWithin theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t := pure_le_nhdsWithin ha ht #align mem_of_mem_nhds_within mem_of_mem_nhdsWithin theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α} (h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x := mem_of_mem_nhdsWithin hx h #align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) : Tendsto (fun _ : β => a) l (𝓝[s] a) := tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha #align tendsto_const_nhds_within tendsto_const_nhdsWithin theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s] a = 𝓝[s ∩ t] a := le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h))) (inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left)) #align nhds_within_restrict'' nhdsWithin_restrict'' theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict'' s <| mem_inf_of_left h #align nhds_within_restrict' nhdsWithin_restrict' theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀) #align nhds_within_restrict nhdsWithin_restrict theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a := nhdsWithin_le_iff.mpr h #align nhds_within_le_of_mem nhdsWithin_le_of_mem theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by rw [← nhdsWithin_univ] apply nhdsWithin_le_of_mem exact univ_mem #align nhds_within_le_nhds nhdsWithin_le_nhds theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂] #align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin' theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂] #align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin @[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a := inf_eq_left.trans le_principal_iff #align nhds_within_eq_nhds nhdsWithin_eq_nhds theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a := nhdsWithin_eq_nhds.2 <| h.mem_nhds ha #align is_open.nhds_within_eq IsOpen.nhdsWithin_eq theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (ht : IsOpen t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝 a := by rw [← ht.nhdsWithin_eq h] exact preimage_nhdsWithin_coinduced' h hs #align preimage_nhds_within_coinduced preimage_nhds_within_coinduced @[simp]
Mathlib/Topology/ContinuousOn.lean
232
232
theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by
rw [nhdsWithin, principal_empty, inf_bot_eq]
import Mathlib.Init.ZeroOne import Mathlib.Data.Set.Defs import Mathlib.Order.Basic import Mathlib.Order.SymmDiff import Mathlib.Tactic.Tauto import Mathlib.Tactic.ByContra import Mathlib.Util.Delaborators #align_import data.set.basic from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29" open Function universe u v w x namespace Set variable {α : Type u} {s t : Set α} instance instBooleanAlgebraSet : BooleanAlgebra (Set α) := { (inferInstance : BooleanAlgebra (α → Prop)) with sup := (· ∪ ·), le := (· ≤ ·), lt := fun s t => s ⊆ t ∧ ¬t ⊆ s, inf := (· ∩ ·), bot := ∅, compl := (·ᶜ), top := univ, sdiff := (· \ ·) } instance : HasSSubset (Set α) := ⟨(· < ·)⟩ @[simp] theorem top_eq_univ : (⊤ : Set α) = univ := rfl #align set.top_eq_univ Set.top_eq_univ @[simp] theorem bot_eq_empty : (⊥ : Set α) = ∅ := rfl #align set.bot_eq_empty Set.bot_eq_empty @[simp] theorem sup_eq_union : ((· ⊔ ·) : Set α → Set α → Set α) = (· ∪ ·) := rfl #align set.sup_eq_union Set.sup_eq_union @[simp] theorem inf_eq_inter : ((· ⊓ ·) : Set α → Set α → Set α) = (· ∩ ·) := rfl #align set.inf_eq_inter Set.inf_eq_inter @[simp] theorem le_eq_subset : ((· ≤ ·) : Set α → Set α → Prop) = (· ⊆ ·) := rfl #align set.le_eq_subset Set.le_eq_subset @[simp] theorem lt_eq_ssubset : ((· < ·) : Set α → Set α → Prop) = (· ⊂ ·) := rfl #align set.lt_eq_ssubset Set.lt_eq_ssubset theorem le_iff_subset : s ≤ t ↔ s ⊆ t := Iff.rfl #align set.le_iff_subset Set.le_iff_subset theorem lt_iff_ssubset : s < t ↔ s ⊂ t := Iff.rfl #align set.lt_iff_ssubset Set.lt_iff_ssubset alias ⟨_root_.LE.le.subset, _root_.HasSubset.Subset.le⟩ := le_iff_subset #align has_subset.subset.le HasSubset.Subset.le alias ⟨_root_.LT.lt.ssubset, _root_.HasSSubset.SSubset.lt⟩ := lt_iff_ssubset #align has_ssubset.ssubset.lt HasSSubset.SSubset.lt instance PiSetCoe.canLift (ι : Type u) (α : ι → Type v) [∀ i, Nonempty (α i)] (s : Set ι) : CanLift (∀ i : s, α i) (∀ i, α i) (fun f i => f i) fun _ => True := PiSubtype.canLift ι α s #align set.pi_set_coe.can_lift Set.PiSetCoe.canLift instance PiSetCoe.canLift' (ι : Type u) (α : Type v) [Nonempty α] (s : Set ι) : CanLift (s → α) (ι → α) (fun f i => f i) fun _ => True := PiSetCoe.canLift ι (fun _ => α) s #align set.pi_set_coe.can_lift' Set.PiSetCoe.canLift' end Set theorem Subtype.mem {α : Type*} {s : Set α} (p : s) : (p : α) ∈ s := p.prop #align subtype.mem Subtype.mem theorem Eq.subset {α} {s t : Set α} : s = t → s ⊆ t := fun h₁ _ h₂ => by rw [← h₁]; exact h₂ #align eq.subset Eq.subset namespace Set variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {a b : α} {s s₁ s₂ t t₁ t₂ u : Set α} instance : Inhabited (Set α) := ⟨∅⟩ theorem ext_iff {s t : Set α} : s = t ↔ ∀ x, x ∈ s ↔ x ∈ t := ⟨fun h x => by rw [h], ext⟩ #align set.ext_iff Set.ext_iff @[trans] theorem mem_of_mem_of_subset {x : α} {s t : Set α} (hx : x ∈ s) (h : s ⊆ t) : x ∈ t := h hx #align set.mem_of_mem_of_subset Set.mem_of_mem_of_subset theorem forall_in_swap {p : α → β → Prop} : (∀ a ∈ s, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ s, p a b := by tauto #align set.forall_in_swap Set.forall_in_swap theorem mem_setOf {a : α} {p : α → Prop} : a ∈ { x | p x } ↔ p a := Iff.rfl #align set.mem_set_of Set.mem_setOf theorem _root_.Membership.mem.out {p : α → Prop} {a : α} (h : a ∈ { x | p x }) : p a := h #align has_mem.mem.out Membership.mem.out theorem nmem_setOf_iff {a : α} {p : α → Prop} : a ∉ { x | p x } ↔ ¬p a := Iff.rfl #align set.nmem_set_of_iff Set.nmem_setOf_iff @[simp] theorem setOf_mem_eq {s : Set α} : { x | x ∈ s } = s := rfl #align set.set_of_mem_eq Set.setOf_mem_eq theorem setOf_set {s : Set α} : setOf s = s := rfl #align set.set_of_set Set.setOf_set theorem setOf_app_iff {p : α → Prop} {x : α} : { x | p x } x ↔ p x := Iff.rfl #align set.set_of_app_iff Set.setOf_app_iff theorem mem_def {a : α} {s : Set α} : a ∈ s ↔ s a := Iff.rfl #align set.mem_def Set.mem_def theorem setOf_bijective : Bijective (setOf : (α → Prop) → Set α) := bijective_id #align set.set_of_bijective Set.setOf_bijective theorem subset_setOf {p : α → Prop} {s : Set α} : s ⊆ setOf p ↔ ∀ x, x ∈ s → p x := Iff.rfl theorem setOf_subset {p : α → Prop} {s : Set α} : setOf p ⊆ s ↔ ∀ x, p x → x ∈ s := Iff.rfl @[simp] theorem setOf_subset_setOf {p q : α → Prop} : { a | p a } ⊆ { a | q a } ↔ ∀ a, p a → q a := Iff.rfl #align set.set_of_subset_set_of Set.setOf_subset_setOf theorem setOf_and {p q : α → Prop} : { a | p a ∧ q a } = { a | p a } ∩ { a | q a } := rfl #align set.set_of_and Set.setOf_and theorem setOf_or {p q : α → Prop} : { a | p a ∨ q a } = { a | p a } ∪ { a | q a } := rfl #align set.set_of_or Set.setOf_or instance : IsRefl (Set α) (· ⊆ ·) := show IsRefl (Set α) (· ≤ ·) by infer_instance instance : IsTrans (Set α) (· ⊆ ·) := show IsTrans (Set α) (· ≤ ·) by infer_instance instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊆ ·) := show Trans (· ≤ ·) (· ≤ ·) (· ≤ ·) by infer_instance instance : IsAntisymm (Set α) (· ⊆ ·) := show IsAntisymm (Set α) (· ≤ ·) by infer_instance instance : IsIrrefl (Set α) (· ⊂ ·) := show IsIrrefl (Set α) (· < ·) by infer_instance instance : IsTrans (Set α) (· ⊂ ·) := show IsTrans (Set α) (· < ·) by infer_instance instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) := show Trans (· < ·) (· < ·) (· < ·) by infer_instance instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊂ ·) := show Trans (· < ·) (· ≤ ·) (· < ·) by infer_instance instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) := show Trans (· ≤ ·) (· < ·) (· < ·) by infer_instance instance : IsAsymm (Set α) (· ⊂ ·) := show IsAsymm (Set α) (· < ·) by infer_instance instance : IsNonstrictStrictOrder (Set α) (· ⊆ ·) (· ⊂ ·) := ⟨fun _ _ => Iff.rfl⟩ -- TODO(Jeremy): write a tactic to unfold specific instances of generic notation? theorem subset_def : (s ⊆ t) = ∀ x, x ∈ s → x ∈ t := rfl #align set.subset_def Set.subset_def theorem ssubset_def : (s ⊂ t) = (s ⊆ t ∧ ¬t ⊆ s) := rfl #align set.ssubset_def Set.ssubset_def @[refl] theorem Subset.refl (a : Set α) : a ⊆ a := fun _ => id #align set.subset.refl Set.Subset.refl theorem Subset.rfl {s : Set α} : s ⊆ s := Subset.refl s #align set.subset.rfl Set.Subset.rfl @[trans] theorem Subset.trans {a b c : Set α} (ab : a ⊆ b) (bc : b ⊆ c) : a ⊆ c := fun _ h => bc <| ab h #align set.subset.trans Set.Subset.trans @[trans] theorem mem_of_eq_of_mem {x y : α} {s : Set α} (hx : x = y) (h : y ∈ s) : x ∈ s := hx.symm ▸ h #align set.mem_of_eq_of_mem Set.mem_of_eq_of_mem theorem Subset.antisymm {a b : Set α} (h₁ : a ⊆ b) (h₂ : b ⊆ a) : a = b := Set.ext fun _ => ⟨@h₁ _, @h₂ _⟩ #align set.subset.antisymm Set.Subset.antisymm theorem Subset.antisymm_iff {a b : Set α} : a = b ↔ a ⊆ b ∧ b ⊆ a := ⟨fun e => ⟨e.subset, e.symm.subset⟩, fun ⟨h₁, h₂⟩ => Subset.antisymm h₁ h₂⟩ #align set.subset.antisymm_iff Set.Subset.antisymm_iff -- an alternative name theorem eq_of_subset_of_subset {a b : Set α} : a ⊆ b → b ⊆ a → a = b := Subset.antisymm #align set.eq_of_subset_of_subset Set.eq_of_subset_of_subset theorem mem_of_subset_of_mem {s₁ s₂ : Set α} {a : α} (h : s₁ ⊆ s₂) : a ∈ s₁ → a ∈ s₂ := @h _ #align set.mem_of_subset_of_mem Set.mem_of_subset_of_mem theorem not_mem_subset (h : s ⊆ t) : a ∉ t → a ∉ s := mt <| mem_of_subset_of_mem h #align set.not_mem_subset Set.not_mem_subset theorem not_subset : ¬s ⊆ t ↔ ∃ a ∈ s, a ∉ t := by simp only [subset_def, not_forall, exists_prop] #align set.not_subset Set.not_subset lemma eq_of_forall_subset_iff (h : ∀ u, s ⊆ u ↔ t ⊆ u) : s = t := eq_of_forall_ge_iff h protected theorem eq_or_ssubset_of_subset (h : s ⊆ t) : s = t ∨ s ⊂ t := eq_or_lt_of_le h #align set.eq_or_ssubset_of_subset Set.eq_or_ssubset_of_subset theorem exists_of_ssubset {s t : Set α} (h : s ⊂ t) : ∃ x ∈ t, x ∉ s := not_subset.1 h.2 #align set.exists_of_ssubset Set.exists_of_ssubset protected theorem ssubset_iff_subset_ne {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t := @lt_iff_le_and_ne (Set α) _ s t #align set.ssubset_iff_subset_ne Set.ssubset_iff_subset_ne theorem ssubset_iff_of_subset {s t : Set α} (h : s ⊆ t) : s ⊂ t ↔ ∃ x ∈ t, x ∉ s := ⟨exists_of_ssubset, fun ⟨_, hxt, hxs⟩ => ⟨h, fun h => hxs <| h hxt⟩⟩ #align set.ssubset_iff_of_subset Set.ssubset_iff_of_subset protected theorem ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊂ s₂) (hs₂s₃ : s₂ ⊆ s₃) : s₁ ⊂ s₃ := ⟨Subset.trans hs₁s₂.1 hs₂s₃, fun hs₃s₁ => hs₁s₂.2 (Subset.trans hs₂s₃ hs₃s₁)⟩ #align set.ssubset_of_ssubset_of_subset Set.ssubset_of_ssubset_of_subset protected theorem ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊆ s₂) (hs₂s₃ : s₂ ⊂ s₃) : s₁ ⊂ s₃ := ⟨Subset.trans hs₁s₂ hs₂s₃.1, fun hs₃s₁ => hs₂s₃.2 (Subset.trans hs₃s₁ hs₁s₂)⟩ #align set.ssubset_of_subset_of_ssubset Set.ssubset_of_subset_of_ssubset theorem not_mem_empty (x : α) : ¬x ∈ (∅ : Set α) := id #align set.not_mem_empty Set.not_mem_empty -- Porting note (#10618): removed `simp` because `simp` can prove it theorem not_not_mem : ¬a ∉ s ↔ a ∈ s := not_not #align set.not_not_mem Set.not_not_mem -- Porting note: we seem to need parentheses at `(↥s)`, -- even if we increase the right precedence of `↥` in `Mathlib.Tactic.Coe`. -- Porting note: removed `simp` as it is competing with `nonempty_subtype`. -- @[simp] theorem nonempty_coe_sort {s : Set α} : Nonempty (↥s) ↔ s.Nonempty := nonempty_subtype #align set.nonempty_coe_sort Set.nonempty_coe_sort alias ⟨_, Nonempty.coe_sort⟩ := nonempty_coe_sort #align set.nonempty.coe_sort Set.Nonempty.coe_sort theorem nonempty_def : s.Nonempty ↔ ∃ x, x ∈ s := Iff.rfl #align set.nonempty_def Set.nonempty_def theorem nonempty_of_mem {x} (h : x ∈ s) : s.Nonempty := ⟨x, h⟩ #align set.nonempty_of_mem Set.nonempty_of_mem theorem Nonempty.not_subset_empty : s.Nonempty → ¬s ⊆ ∅ | ⟨_, hx⟩, hs => hs hx #align set.nonempty.not_subset_empty Set.Nonempty.not_subset_empty protected noncomputable def Nonempty.some (h : s.Nonempty) : α := Classical.choose h #align set.nonempty.some Set.Nonempty.some protected theorem Nonempty.some_mem (h : s.Nonempty) : h.some ∈ s := Classical.choose_spec h #align set.nonempty.some_mem Set.Nonempty.some_mem theorem Nonempty.mono (ht : s ⊆ t) (hs : s.Nonempty) : t.Nonempty := hs.imp ht #align set.nonempty.mono Set.Nonempty.mono theorem nonempty_of_not_subset (h : ¬s ⊆ t) : (s \ t).Nonempty := let ⟨x, xs, xt⟩ := not_subset.1 h ⟨x, xs, xt⟩ #align set.nonempty_of_not_subset Set.nonempty_of_not_subset theorem nonempty_of_ssubset (ht : s ⊂ t) : (t \ s).Nonempty := nonempty_of_not_subset ht.2 #align set.nonempty_of_ssubset Set.nonempty_of_ssubset theorem Nonempty.of_diff (h : (s \ t).Nonempty) : s.Nonempty := h.imp fun _ => And.left #align set.nonempty.of_diff Set.Nonempty.of_diff theorem nonempty_of_ssubset' (ht : s ⊂ t) : t.Nonempty := (nonempty_of_ssubset ht).of_diff #align set.nonempty_of_ssubset' Set.nonempty_of_ssubset' theorem Nonempty.inl (hs : s.Nonempty) : (s ∪ t).Nonempty := hs.imp fun _ => Or.inl #align set.nonempty.inl Set.Nonempty.inl theorem Nonempty.inr (ht : t.Nonempty) : (s ∪ t).Nonempty := ht.imp fun _ => Or.inr #align set.nonempty.inr Set.Nonempty.inr @[simp] theorem union_nonempty : (s ∪ t).Nonempty ↔ s.Nonempty ∨ t.Nonempty := exists_or #align set.union_nonempty Set.union_nonempty theorem Nonempty.left (h : (s ∩ t).Nonempty) : s.Nonempty := h.imp fun _ => And.left #align set.nonempty.left Set.Nonempty.left theorem Nonempty.right (h : (s ∩ t).Nonempty) : t.Nonempty := h.imp fun _ => And.right #align set.nonempty.right Set.Nonempty.right theorem inter_nonempty : (s ∩ t).Nonempty ↔ ∃ x, x ∈ s ∧ x ∈ t := Iff.rfl #align set.inter_nonempty Set.inter_nonempty theorem inter_nonempty_iff_exists_left : (s ∩ t).Nonempty ↔ ∃ x ∈ s, x ∈ t := by simp_rw [inter_nonempty] #align set.inter_nonempty_iff_exists_left Set.inter_nonempty_iff_exists_left theorem inter_nonempty_iff_exists_right : (s ∩ t).Nonempty ↔ ∃ x ∈ t, x ∈ s := by simp_rw [inter_nonempty, and_comm] #align set.inter_nonempty_iff_exists_right Set.inter_nonempty_iff_exists_right theorem nonempty_iff_univ_nonempty : Nonempty α ↔ (univ : Set α).Nonempty := ⟨fun ⟨x⟩ => ⟨x, trivial⟩, fun ⟨x, _⟩ => ⟨x⟩⟩ #align set.nonempty_iff_univ_nonempty Set.nonempty_iff_univ_nonempty @[simp] theorem univ_nonempty : ∀ [Nonempty α], (univ : Set α).Nonempty | ⟨x⟩ => ⟨x, trivial⟩ #align set.univ_nonempty Set.univ_nonempty theorem Nonempty.to_subtype : s.Nonempty → Nonempty (↥s) := nonempty_subtype.2 #align set.nonempty.to_subtype Set.Nonempty.to_subtype theorem Nonempty.to_type : s.Nonempty → Nonempty α := fun ⟨x, _⟩ => ⟨x⟩ #align set.nonempty.to_type Set.Nonempty.to_type instance univ.nonempty [Nonempty α] : Nonempty (↥(Set.univ : Set α)) := Set.univ_nonempty.to_subtype #align set.univ.nonempty Set.univ.nonempty theorem nonempty_of_nonempty_subtype [Nonempty (↥s)] : s.Nonempty := nonempty_subtype.mp ‹_› #align set.nonempty_of_nonempty_subtype Set.nonempty_of_nonempty_subtype theorem empty_def : (∅ : Set α) = { _x : α | False } := rfl #align set.empty_def Set.empty_def @[simp] theorem mem_empty_iff_false (x : α) : x ∈ (∅ : Set α) ↔ False := Iff.rfl #align set.mem_empty_iff_false Set.mem_empty_iff_false @[simp] theorem setOf_false : { _a : α | False } = ∅ := rfl #align set.set_of_false Set.setOf_false @[simp] theorem setOf_bot : { _x : α | ⊥ } = ∅ := rfl @[simp] theorem empty_subset (s : Set α) : ∅ ⊆ s := nofun #align set.empty_subset Set.empty_subset theorem subset_empty_iff {s : Set α} : s ⊆ ∅ ↔ s = ∅ := (Subset.antisymm_iff.trans <| and_iff_left (empty_subset _)).symm #align set.subset_empty_iff Set.subset_empty_iff theorem eq_empty_iff_forall_not_mem {s : Set α} : s = ∅ ↔ ∀ x, x ∉ s := subset_empty_iff.symm #align set.eq_empty_iff_forall_not_mem Set.eq_empty_iff_forall_not_mem theorem eq_empty_of_forall_not_mem (h : ∀ x, x ∉ s) : s = ∅ := subset_empty_iff.1 h #align set.eq_empty_of_forall_not_mem Set.eq_empty_of_forall_not_mem theorem eq_empty_of_subset_empty {s : Set α} : s ⊆ ∅ → s = ∅ := subset_empty_iff.1 #align set.eq_empty_of_subset_empty Set.eq_empty_of_subset_empty theorem eq_empty_of_isEmpty [IsEmpty α] (s : Set α) : s = ∅ := eq_empty_of_subset_empty fun x _ => isEmptyElim x #align set.eq_empty_of_is_empty Set.eq_empty_of_isEmpty instance uniqueEmpty [IsEmpty α] : Unique (Set α) where default := ∅ uniq := eq_empty_of_isEmpty #align set.unique_empty Set.uniqueEmpty theorem not_nonempty_iff_eq_empty {s : Set α} : ¬s.Nonempty ↔ s = ∅ := by simp only [Set.Nonempty, not_exists, eq_empty_iff_forall_not_mem] #align set.not_nonempty_iff_eq_empty Set.not_nonempty_iff_eq_empty theorem nonempty_iff_ne_empty : s.Nonempty ↔ s ≠ ∅ := not_nonempty_iff_eq_empty.not_right #align set.nonempty_iff_ne_empty Set.nonempty_iff_ne_empty theorem not_nonempty_iff_eq_empty' : ¬Nonempty s ↔ s = ∅ := by rw [nonempty_subtype, not_exists, eq_empty_iff_forall_not_mem] theorem nonempty_iff_ne_empty' : Nonempty s ↔ s ≠ ∅ := not_nonempty_iff_eq_empty'.not_right alias ⟨Nonempty.ne_empty, _⟩ := nonempty_iff_ne_empty #align set.nonempty.ne_empty Set.Nonempty.ne_empty @[simp] theorem not_nonempty_empty : ¬(∅ : Set α).Nonempty := fun ⟨_, hx⟩ => hx #align set.not_nonempty_empty Set.not_nonempty_empty -- Porting note: removing `@[simp]` as it is competing with `isEmpty_subtype`. -- @[simp] theorem isEmpty_coe_sort {s : Set α} : IsEmpty (↥s) ↔ s = ∅ := not_iff_not.1 <| by simpa using nonempty_iff_ne_empty #align set.is_empty_coe_sort Set.isEmpty_coe_sort theorem eq_empty_or_nonempty (s : Set α) : s = ∅ ∨ s.Nonempty := or_iff_not_imp_left.2 nonempty_iff_ne_empty.2 #align set.eq_empty_or_nonempty Set.eq_empty_or_nonempty theorem subset_eq_empty {s t : Set α} (h : t ⊆ s) (e : s = ∅) : t = ∅ := subset_empty_iff.1 <| e ▸ h #align set.subset_eq_empty Set.subset_eq_empty theorem forall_mem_empty {p : α → Prop} : (∀ x ∈ (∅ : Set α), p x) ↔ True := iff_true_intro fun _ => False.elim #align set.ball_empty_iff Set.forall_mem_empty @[deprecated (since := "2024-03-23")] alias ball_empty_iff := forall_mem_empty instance (α : Type u) : IsEmpty.{u + 1} (↥(∅ : Set α)) := ⟨fun x => x.2⟩ @[simp] theorem empty_ssubset : ∅ ⊂ s ↔ s.Nonempty := (@bot_lt_iff_ne_bot (Set α) _ _ _).trans nonempty_iff_ne_empty.symm #align set.empty_ssubset Set.empty_ssubset alias ⟨_, Nonempty.empty_ssubset⟩ := empty_ssubset #align set.nonempty.empty_ssubset Set.Nonempty.empty_ssubset @[simp] theorem setOf_true : { _x : α | True } = univ := rfl #align set.set_of_true Set.setOf_true @[simp] theorem setOf_top : { _x : α | ⊤ } = univ := rfl @[simp] theorem univ_eq_empty_iff : (univ : Set α) = ∅ ↔ IsEmpty α := eq_empty_iff_forall_not_mem.trans ⟨fun H => ⟨fun x => H x trivial⟩, fun H x _ => @IsEmpty.false α H x⟩ #align set.univ_eq_empty_iff Set.univ_eq_empty_iff theorem empty_ne_univ [Nonempty α] : (∅ : Set α) ≠ univ := fun e => not_isEmpty_of_nonempty α <| univ_eq_empty_iff.1 e.symm #align set.empty_ne_univ Set.empty_ne_univ @[simp] theorem subset_univ (s : Set α) : s ⊆ univ := fun _ _ => trivial #align set.subset_univ Set.subset_univ @[simp] theorem univ_subset_iff {s : Set α} : univ ⊆ s ↔ s = univ := @top_le_iff _ _ _ s #align set.univ_subset_iff Set.univ_subset_iff alias ⟨eq_univ_of_univ_subset, _⟩ := univ_subset_iff #align set.eq_univ_of_univ_subset Set.eq_univ_of_univ_subset theorem eq_univ_iff_forall {s : Set α} : s = univ ↔ ∀ x, x ∈ s := univ_subset_iff.symm.trans <| forall_congr' fun _ => imp_iff_right trivial #align set.eq_univ_iff_forall Set.eq_univ_iff_forall theorem eq_univ_of_forall {s : Set α} : (∀ x, x ∈ s) → s = univ := eq_univ_iff_forall.2 #align set.eq_univ_of_forall Set.eq_univ_of_forall theorem Nonempty.eq_univ [Subsingleton α] : s.Nonempty → s = univ := by rintro ⟨x, hx⟩ exact eq_univ_of_forall fun y => by rwa [Subsingleton.elim y x] #align set.nonempty.eq_univ Set.Nonempty.eq_univ theorem eq_univ_of_subset {s t : Set α} (h : s ⊆ t) (hs : s = univ) : t = univ := eq_univ_of_univ_subset <| (hs ▸ h : univ ⊆ t) #align set.eq_univ_of_subset Set.eq_univ_of_subset theorem exists_mem_of_nonempty (α) : ∀ [Nonempty α], ∃ x : α, x ∈ (univ : Set α) | ⟨x⟩ => ⟨x, trivial⟩ #align set.exists_mem_of_nonempty Set.exists_mem_of_nonempty theorem ne_univ_iff_exists_not_mem {α : Type*} (s : Set α) : s ≠ univ ↔ ∃ a, a ∉ s := by rw [← not_forall, ← eq_univ_iff_forall] #align set.ne_univ_iff_exists_not_mem Set.ne_univ_iff_exists_not_mem theorem not_subset_iff_exists_mem_not_mem {α : Type*} {s t : Set α} : ¬s ⊆ t ↔ ∃ x, x ∈ s ∧ x ∉ t := by simp [subset_def] #align set.not_subset_iff_exists_mem_not_mem Set.not_subset_iff_exists_mem_not_mem theorem univ_unique [Unique α] : @Set.univ α = {default} := Set.ext fun x => iff_of_true trivial <| Subsingleton.elim x default #align set.univ_unique Set.univ_unique theorem ssubset_univ_iff : s ⊂ univ ↔ s ≠ univ := lt_top_iff_ne_top #align set.ssubset_univ_iff Set.ssubset_univ_iff instance nontrivial_of_nonempty [Nonempty α] : Nontrivial (Set α) := ⟨⟨∅, univ, empty_ne_univ⟩⟩ #align set.nontrivial_of_nonempty Set.nontrivial_of_nonempty theorem union_def {s₁ s₂ : Set α} : s₁ ∪ s₂ = { a | a ∈ s₁ ∨ a ∈ s₂ } := rfl #align set.union_def Set.union_def theorem mem_union_left {x : α} {a : Set α} (b : Set α) : x ∈ a → x ∈ a ∪ b := Or.inl #align set.mem_union_left Set.mem_union_left theorem mem_union_right {x : α} {b : Set α} (a : Set α) : x ∈ b → x ∈ a ∪ b := Or.inr #align set.mem_union_right Set.mem_union_right theorem mem_or_mem_of_mem_union {x : α} {a b : Set α} (H : x ∈ a ∪ b) : x ∈ a ∨ x ∈ b := H #align set.mem_or_mem_of_mem_union Set.mem_or_mem_of_mem_union theorem MemUnion.elim {x : α} {a b : Set α} {P : Prop} (H₁ : x ∈ a ∪ b) (H₂ : x ∈ a → P) (H₃ : x ∈ b → P) : P := Or.elim H₁ H₂ H₃ #align set.mem_union.elim Set.MemUnion.elim @[simp] theorem mem_union (x : α) (a b : Set α) : x ∈ a ∪ b ↔ x ∈ a ∨ x ∈ b := Iff.rfl #align set.mem_union Set.mem_union @[simp] theorem union_self (a : Set α) : a ∪ a = a := ext fun _ => or_self_iff #align set.union_self Set.union_self @[simp] theorem union_empty (a : Set α) : a ∪ ∅ = a := ext fun _ => or_false_iff _ #align set.union_empty Set.union_empty @[simp] theorem empty_union (a : Set α) : ∅ ∪ a = a := ext fun _ => false_or_iff _ #align set.empty_union Set.empty_union theorem union_comm (a b : Set α) : a ∪ b = b ∪ a := ext fun _ => or_comm #align set.union_comm Set.union_comm theorem union_assoc (a b c : Set α) : a ∪ b ∪ c = a ∪ (b ∪ c) := ext fun _ => or_assoc #align set.union_assoc Set.union_assoc instance union_isAssoc : Std.Associative (α := Set α) (· ∪ ·) := ⟨union_assoc⟩ #align set.union_is_assoc Set.union_isAssoc instance union_isComm : Std.Commutative (α := Set α) (· ∪ ·) := ⟨union_comm⟩ #align set.union_is_comm Set.union_isComm theorem union_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) := ext fun _ => or_left_comm #align set.union_left_comm Set.union_left_comm theorem union_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∪ s₂ ∪ s₃ = s₁ ∪ s₃ ∪ s₂ := ext fun _ => or_right_comm #align set.union_right_comm Set.union_right_comm @[simp] theorem union_eq_left {s t : Set α} : s ∪ t = s ↔ t ⊆ s := sup_eq_left #align set.union_eq_left_iff_subset Set.union_eq_left @[simp] theorem union_eq_right {s t : Set α} : s ∪ t = t ↔ s ⊆ t := sup_eq_right #align set.union_eq_right_iff_subset Set.union_eq_right theorem union_eq_self_of_subset_left {s t : Set α} (h : s ⊆ t) : s ∪ t = t := union_eq_right.mpr h #align set.union_eq_self_of_subset_left Set.union_eq_self_of_subset_left theorem union_eq_self_of_subset_right {s t : Set α} (h : t ⊆ s) : s ∪ t = s := union_eq_left.mpr h #align set.union_eq_self_of_subset_right Set.union_eq_self_of_subset_right @[simp] theorem subset_union_left {s t : Set α} : s ⊆ s ∪ t := fun _ => Or.inl #align set.subset_union_left Set.subset_union_left @[simp] theorem subset_union_right {s t : Set α} : t ⊆ s ∪ t := fun _ => Or.inr #align set.subset_union_right Set.subset_union_right theorem union_subset {s t r : Set α} (sr : s ⊆ r) (tr : t ⊆ r) : s ∪ t ⊆ r := fun _ => Or.rec (@sr _) (@tr _) #align set.union_subset Set.union_subset @[simp] theorem union_subset_iff {s t u : Set α} : s ∪ t ⊆ u ↔ s ⊆ u ∧ t ⊆ u := (forall_congr' fun _ => or_imp).trans forall_and #align set.union_subset_iff Set.union_subset_iff @[gcongr] theorem union_subset_union {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ s₂) (h₂ : t₁ ⊆ t₂) : s₁ ∪ t₁ ⊆ s₂ ∪ t₂ := fun _ => Or.imp (@h₁ _) (@h₂ _) #align set.union_subset_union Set.union_subset_union @[gcongr] theorem union_subset_union_left {s₁ s₂ : Set α} (t) (h : s₁ ⊆ s₂) : s₁ ∪ t ⊆ s₂ ∪ t := union_subset_union h Subset.rfl #align set.union_subset_union_left Set.union_subset_union_left @[gcongr] theorem union_subset_union_right (s) {t₁ t₂ : Set α} (h : t₁ ⊆ t₂) : s ∪ t₁ ⊆ s ∪ t₂ := union_subset_union Subset.rfl h #align set.union_subset_union_right Set.union_subset_union_right theorem subset_union_of_subset_left {s t : Set α} (h : s ⊆ t) (u : Set α) : s ⊆ t ∪ u := h.trans subset_union_left #align set.subset_union_of_subset_left Set.subset_union_of_subset_left theorem subset_union_of_subset_right {s u : Set α} (h : s ⊆ u) (t : Set α) : s ⊆ t ∪ u := h.trans subset_union_right #align set.subset_union_of_subset_right Set.subset_union_of_subset_right -- Porting note: replaced `⊔` in RHS theorem union_congr_left (ht : t ⊆ s ∪ u) (hu : u ⊆ s ∪ t) : s ∪ t = s ∪ u := sup_congr_left ht hu #align set.union_congr_left Set.union_congr_left theorem union_congr_right (hs : s ⊆ t ∪ u) (ht : t ⊆ s ∪ u) : s ∪ u = t ∪ u := sup_congr_right hs ht #align set.union_congr_right Set.union_congr_right theorem union_eq_union_iff_left : s ∪ t = s ∪ u ↔ t ⊆ s ∪ u ∧ u ⊆ s ∪ t := sup_eq_sup_iff_left #align set.union_eq_union_iff_left Set.union_eq_union_iff_left theorem union_eq_union_iff_right : s ∪ u = t ∪ u ↔ s ⊆ t ∪ u ∧ t ⊆ s ∪ u := sup_eq_sup_iff_right #align set.union_eq_union_iff_right Set.union_eq_union_iff_right @[simp] theorem union_empty_iff {s t : Set α} : s ∪ t = ∅ ↔ s = ∅ ∧ t = ∅ := by simp only [← subset_empty_iff] exact union_subset_iff #align set.union_empty_iff Set.union_empty_iff @[simp] theorem union_univ (s : Set α) : s ∪ univ = univ := sup_top_eq _ #align set.union_univ Set.union_univ @[simp] theorem univ_union (s : Set α) : univ ∪ s = univ := top_sup_eq _ #align set.univ_union Set.univ_union theorem inter_def {s₁ s₂ : Set α} : s₁ ∩ s₂ = { a | a ∈ s₁ ∧ a ∈ s₂ } := rfl #align set.inter_def Set.inter_def @[simp, mfld_simps] theorem mem_inter_iff (x : α) (a b : Set α) : x ∈ a ∩ b ↔ x ∈ a ∧ x ∈ b := Iff.rfl #align set.mem_inter_iff Set.mem_inter_iff theorem mem_inter {x : α} {a b : Set α} (ha : x ∈ a) (hb : x ∈ b) : x ∈ a ∩ b := ⟨ha, hb⟩ #align set.mem_inter Set.mem_inter theorem mem_of_mem_inter_left {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ a := h.left #align set.mem_of_mem_inter_left Set.mem_of_mem_inter_left theorem mem_of_mem_inter_right {x : α} {a b : Set α} (h : x ∈ a ∩ b) : x ∈ b := h.right #align set.mem_of_mem_inter_right Set.mem_of_mem_inter_right @[simp] theorem inter_self (a : Set α) : a ∩ a = a := ext fun _ => and_self_iff #align set.inter_self Set.inter_self @[simp] theorem inter_empty (a : Set α) : a ∩ ∅ = ∅ := ext fun _ => and_false_iff _ #align set.inter_empty Set.inter_empty @[simp] theorem empty_inter (a : Set α) : ∅ ∩ a = ∅ := ext fun _ => false_and_iff _ #align set.empty_inter Set.empty_inter theorem inter_comm (a b : Set α) : a ∩ b = b ∩ a := ext fun _ => and_comm #align set.inter_comm Set.inter_comm theorem inter_assoc (a b c : Set α) : a ∩ b ∩ c = a ∩ (b ∩ c) := ext fun _ => and_assoc #align set.inter_assoc Set.inter_assoc instance inter_isAssoc : Std.Associative (α := Set α) (· ∩ ·) := ⟨inter_assoc⟩ #align set.inter_is_assoc Set.inter_isAssoc instance inter_isComm : Std.Commutative (α := Set α) (· ∩ ·) := ⟨inter_comm⟩ #align set.inter_is_comm Set.inter_isComm theorem inter_left_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) := ext fun _ => and_left_comm #align set.inter_left_comm Set.inter_left_comm theorem inter_right_comm (s₁ s₂ s₃ : Set α) : s₁ ∩ s₂ ∩ s₃ = s₁ ∩ s₃ ∩ s₂ := ext fun _ => and_right_comm #align set.inter_right_comm Set.inter_right_comm @[simp, mfld_simps] theorem inter_subset_left {s t : Set α} : s ∩ t ⊆ s := fun _ => And.left #align set.inter_subset_left Set.inter_subset_left @[simp] theorem inter_subset_right {s t : Set α} : s ∩ t ⊆ t := fun _ => And.right #align set.inter_subset_right Set.inter_subset_right theorem subset_inter {s t r : Set α} (rs : r ⊆ s) (rt : r ⊆ t) : r ⊆ s ∩ t := fun _ h => ⟨rs h, rt h⟩ #align set.subset_inter Set.subset_inter @[simp] theorem subset_inter_iff {s t r : Set α} : r ⊆ s ∩ t ↔ r ⊆ s ∧ r ⊆ t := (forall_congr' fun _ => imp_and).trans forall_and #align set.subset_inter_iff Set.subset_inter_iff @[simp] lemma inter_eq_left : s ∩ t = s ↔ s ⊆ t := inf_eq_left #align set.inter_eq_left_iff_subset Set.inter_eq_left @[simp] lemma inter_eq_right : s ∩ t = t ↔ t ⊆ s := inf_eq_right #align set.inter_eq_right_iff_subset Set.inter_eq_right @[simp] lemma left_eq_inter : s = s ∩ t ↔ s ⊆ t := left_eq_inf @[simp] lemma right_eq_inter : t = s ∩ t ↔ t ⊆ s := right_eq_inf theorem inter_eq_self_of_subset_left {s t : Set α} : s ⊆ t → s ∩ t = s := inter_eq_left.mpr #align set.inter_eq_self_of_subset_left Set.inter_eq_self_of_subset_left theorem inter_eq_self_of_subset_right {s t : Set α} : t ⊆ s → s ∩ t = t := inter_eq_right.mpr #align set.inter_eq_self_of_subset_right Set.inter_eq_self_of_subset_right theorem inter_congr_left (ht : s ∩ u ⊆ t) (hu : s ∩ t ⊆ u) : s ∩ t = s ∩ u := inf_congr_left ht hu #align set.inter_congr_left Set.inter_congr_left theorem inter_congr_right (hs : t ∩ u ⊆ s) (ht : s ∩ u ⊆ t) : s ∩ u = t ∩ u := inf_congr_right hs ht #align set.inter_congr_right Set.inter_congr_right theorem inter_eq_inter_iff_left : s ∩ t = s ∩ u ↔ s ∩ u ⊆ t ∧ s ∩ t ⊆ u := inf_eq_inf_iff_left #align set.inter_eq_inter_iff_left Set.inter_eq_inter_iff_left theorem inter_eq_inter_iff_right : s ∩ u = t ∩ u ↔ t ∩ u ⊆ s ∧ s ∩ u ⊆ t := inf_eq_inf_iff_right #align set.inter_eq_inter_iff_right Set.inter_eq_inter_iff_right @[simp, mfld_simps] theorem inter_univ (a : Set α) : a ∩ univ = a := inf_top_eq _ #align set.inter_univ Set.inter_univ @[simp, mfld_simps] theorem univ_inter (a : Set α) : univ ∩ a = a := top_inf_eq _ #align set.univ_inter Set.univ_inter @[gcongr] theorem inter_subset_inter {s₁ s₂ t₁ t₂ : Set α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) : s₁ ∩ s₂ ⊆ t₁ ∩ t₂ := fun _ => And.imp (@h₁ _) (@h₂ _) #align set.inter_subset_inter Set.inter_subset_inter @[gcongr] theorem inter_subset_inter_left {s t : Set α} (u : Set α) (H : s ⊆ t) : s ∩ u ⊆ t ∩ u := inter_subset_inter H Subset.rfl #align set.inter_subset_inter_left Set.inter_subset_inter_left @[gcongr] theorem inter_subset_inter_right {s t : Set α} (u : Set α) (H : s ⊆ t) : u ∩ s ⊆ u ∩ t := inter_subset_inter Subset.rfl H #align set.inter_subset_inter_right Set.inter_subset_inter_right theorem union_inter_cancel_left {s t : Set α} : (s ∪ t) ∩ s = s := inter_eq_self_of_subset_right subset_union_left #align set.union_inter_cancel_left Set.union_inter_cancel_left theorem union_inter_cancel_right {s t : Set α} : (s ∪ t) ∩ t = t := inter_eq_self_of_subset_right subset_union_right #align set.union_inter_cancel_right Set.union_inter_cancel_right theorem inter_setOf_eq_sep (s : Set α) (p : α → Prop) : s ∩ {a | p a} = {a ∈ s | p a} := rfl #align set.inter_set_of_eq_sep Set.inter_setOf_eq_sep theorem setOf_inter_eq_sep (p : α → Prop) (s : Set α) : {a | p a} ∩ s = {a ∈ s | p a} := inter_comm _ _ #align set.set_of_inter_eq_sep Set.setOf_inter_eq_sep theorem inter_union_distrib_left (s t u : Set α) : s ∩ (t ∪ u) = s ∩ t ∪ s ∩ u := inf_sup_left _ _ _ #align set.inter_distrib_left Set.inter_union_distrib_left theorem union_inter_distrib_right (s t u : Set α) : (s ∪ t) ∩ u = s ∩ u ∪ t ∩ u := inf_sup_right _ _ _ #align set.inter_distrib_right Set.union_inter_distrib_right theorem union_inter_distrib_left (s t u : Set α) : s ∪ t ∩ u = (s ∪ t) ∩ (s ∪ u) := sup_inf_left _ _ _ #align set.union_distrib_left Set.union_inter_distrib_left theorem inter_union_distrib_right (s t u : Set α) : s ∩ t ∪ u = (s ∪ u) ∩ (t ∪ u) := sup_inf_right _ _ _ #align set.union_distrib_right Set.inter_union_distrib_right -- 2024-03-22 @[deprecated] alias inter_distrib_left := inter_union_distrib_left @[deprecated] alias inter_distrib_right := union_inter_distrib_right @[deprecated] alias union_distrib_left := union_inter_distrib_left @[deprecated] alias union_distrib_right := inter_union_distrib_right theorem union_union_distrib_left (s t u : Set α) : s ∪ (t ∪ u) = s ∪ t ∪ (s ∪ u) := sup_sup_distrib_left _ _ _ #align set.union_union_distrib_left Set.union_union_distrib_left theorem union_union_distrib_right (s t u : Set α) : s ∪ t ∪ u = s ∪ u ∪ (t ∪ u) := sup_sup_distrib_right _ _ _ #align set.union_union_distrib_right Set.union_union_distrib_right theorem inter_inter_distrib_left (s t u : Set α) : s ∩ (t ∩ u) = s ∩ t ∩ (s ∩ u) := inf_inf_distrib_left _ _ _ #align set.inter_inter_distrib_left Set.inter_inter_distrib_left theorem inter_inter_distrib_right (s t u : Set α) : s ∩ t ∩ u = s ∩ u ∩ (t ∩ u) := inf_inf_distrib_right _ _ _ #align set.inter_inter_distrib_right Set.inter_inter_distrib_right theorem union_union_union_comm (s t u v : Set α) : s ∪ t ∪ (u ∪ v) = s ∪ u ∪ (t ∪ v) := sup_sup_sup_comm _ _ _ _ #align set.union_union_union_comm Set.union_union_union_comm theorem inter_inter_inter_comm (s t u v : Set α) : s ∩ t ∩ (u ∩ v) = s ∩ u ∩ (t ∩ v) := inf_inf_inf_comm _ _ _ _ #align set.inter_inter_inter_comm Set.inter_inter_inter_comm theorem insert_def (x : α) (s : Set α) : insert x s = { y | y = x ∨ y ∈ s } := rfl #align set.insert_def Set.insert_def @[simp] theorem subset_insert (x : α) (s : Set α) : s ⊆ insert x s := fun _ => Or.inr #align set.subset_insert Set.subset_insert theorem mem_insert (x : α) (s : Set α) : x ∈ insert x s := Or.inl rfl #align set.mem_insert Set.mem_insert theorem mem_insert_of_mem {x : α} {s : Set α} (y : α) : x ∈ s → x ∈ insert y s := Or.inr #align set.mem_insert_of_mem Set.mem_insert_of_mem theorem eq_or_mem_of_mem_insert {x a : α} {s : Set α} : x ∈ insert a s → x = a ∨ x ∈ s := id #align set.eq_or_mem_of_mem_insert Set.eq_or_mem_of_mem_insert theorem mem_of_mem_insert_of_ne : b ∈ insert a s → b ≠ a → b ∈ s := Or.resolve_left #align set.mem_of_mem_insert_of_ne Set.mem_of_mem_insert_of_ne theorem eq_of_not_mem_of_mem_insert : b ∈ insert a s → b ∉ s → b = a := Or.resolve_right #align set.eq_of_not_mem_of_mem_insert Set.eq_of_not_mem_of_mem_insert @[simp] theorem mem_insert_iff {x a : α} {s : Set α} : x ∈ insert a s ↔ x = a ∨ x ∈ s := Iff.rfl #align set.mem_insert_iff Set.mem_insert_iff @[simp] theorem insert_eq_of_mem {a : α} {s : Set α} (h : a ∈ s) : insert a s = s := ext fun _ => or_iff_right_of_imp fun e => e.symm ▸ h #align set.insert_eq_of_mem Set.insert_eq_of_mem theorem ne_insert_of_not_mem {s : Set α} (t : Set α) {a : α} : a ∉ s → s ≠ insert a t := mt fun e => e.symm ▸ mem_insert _ _ #align set.ne_insert_of_not_mem Set.ne_insert_of_not_mem @[simp] theorem insert_eq_self : insert a s = s ↔ a ∈ s := ⟨fun h => h ▸ mem_insert _ _, insert_eq_of_mem⟩ #align set.insert_eq_self Set.insert_eq_self theorem insert_ne_self : insert a s ≠ s ↔ a ∉ s := insert_eq_self.not #align set.insert_ne_self Set.insert_ne_self theorem insert_subset_iff : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t := by simp only [subset_def, mem_insert_iff, or_imp, forall_and, forall_eq] #align set.insert_subset Set.insert_subset_iff theorem insert_subset (ha : a ∈ t) (hs : s ⊆ t) : insert a s ⊆ t := insert_subset_iff.mpr ⟨ha, hs⟩ theorem insert_subset_insert (h : s ⊆ t) : insert a s ⊆ insert a t := fun _ => Or.imp_right (@h _) #align set.insert_subset_insert Set.insert_subset_insert @[simp] theorem insert_subset_insert_iff (ha : a ∉ s) : insert a s ⊆ insert a t ↔ s ⊆ t := by refine ⟨fun h x hx => ?_, insert_subset_insert⟩ rcases h (subset_insert _ _ hx) with (rfl | hxt) exacts [(ha hx).elim, hxt] #align set.insert_subset_insert_iff Set.insert_subset_insert_iff theorem subset_insert_iff_of_not_mem (ha : a ∉ s) : s ⊆ insert a t ↔ s ⊆ t := forall₂_congr fun _ hb => or_iff_right <| ne_of_mem_of_not_mem hb ha #align set.subset_insert_iff_of_not_mem Set.subset_insert_iff_of_not_mem theorem ssubset_iff_insert {s t : Set α} : s ⊂ t ↔ ∃ a ∉ s, insert a s ⊆ t := by simp only [insert_subset_iff, exists_and_right, ssubset_def, not_subset] aesop #align set.ssubset_iff_insert Set.ssubset_iff_insert theorem ssubset_insert {s : Set α} {a : α} (h : a ∉ s) : s ⊂ insert a s := ssubset_iff_insert.2 ⟨a, h, Subset.rfl⟩ #align set.ssubset_insert Set.ssubset_insert theorem insert_comm (a b : α) (s : Set α) : insert a (insert b s) = insert b (insert a s) := ext fun _ => or_left_comm #align set.insert_comm Set.insert_comm -- Porting note (#10618): removing `simp` attribute because `simp` can prove it theorem insert_idem (a : α) (s : Set α) : insert a (insert a s) = insert a s := insert_eq_of_mem <| mem_insert _ _ #align set.insert_idem Set.insert_idem theorem insert_union : insert a s ∪ t = insert a (s ∪ t) := ext fun _ => or_assoc #align set.insert_union Set.insert_union @[simp] theorem union_insert : s ∪ insert a t = insert a (s ∪ t) := ext fun _ => or_left_comm #align set.union_insert Set.union_insert @[simp] theorem insert_nonempty (a : α) (s : Set α) : (insert a s).Nonempty := ⟨a, mem_insert a s⟩ #align set.insert_nonempty Set.insert_nonempty instance (a : α) (s : Set α) : Nonempty (insert a s : Set α) := (insert_nonempty a s).to_subtype theorem insert_inter_distrib (a : α) (s t : Set α) : insert a (s ∩ t) = insert a s ∩ insert a t := ext fun _ => or_and_left #align set.insert_inter_distrib Set.insert_inter_distrib theorem insert_union_distrib (a : α) (s t : Set α) : insert a (s ∪ t) = insert a s ∪ insert a t := ext fun _ => or_or_distrib_left #align set.insert_union_distrib Set.insert_union_distrib theorem insert_inj (ha : a ∉ s) : insert a s = insert b s ↔ a = b := ⟨fun h => eq_of_not_mem_of_mem_insert (h.subst <| mem_insert a s) ha, congr_arg (fun x => insert x s)⟩ #align set.insert_inj Set.insert_inj -- useful in proofs by induction theorem forall_of_forall_insert {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ insert a s → P x) (x) (h : x ∈ s) : P x := H _ (Or.inr h) #align set.forall_of_forall_insert Set.forall_of_forall_insert theorem forall_insert_of_forall {P : α → Prop} {a : α} {s : Set α} (H : ∀ x, x ∈ s → P x) (ha : P a) (x) (h : x ∈ insert a s) : P x := h.elim (fun e => e.symm ▸ ha) (H _) #align set.forall_insert_of_forall Set.forall_insert_of_forall theorem exists_mem_insert {P : α → Prop} {a : α} {s : Set α} : (∃ x ∈ insert a s, P x) ↔ (P a ∨ ∃ x ∈ s, P x) := by simp [mem_insert_iff, or_and_right, exists_and_left, exists_or] #align set.bex_insert_iff Set.exists_mem_insert @[deprecated (since := "2024-03-23")] alias bex_insert_iff := exists_mem_insert theorem forall_mem_insert {P : α → Prop} {a : α} {s : Set α} : (∀ x ∈ insert a s, P x) ↔ P a ∧ ∀ x ∈ s, P x := forall₂_or_left.trans <| and_congr_left' forall_eq #align set.ball_insert_iff Set.forall_mem_insert @[deprecated (since := "2024-03-23")] alias ball_insert_iff := forall_mem_insert instance : LawfulSingleton α (Set α) := ⟨fun x => Set.ext fun a => by simp only [mem_empty_iff_false, mem_insert_iff, or_false] exact Iff.rfl⟩ theorem singleton_def (a : α) : ({a} : Set α) = insert a ∅ := (insert_emptyc_eq a).symm #align set.singleton_def Set.singleton_def @[simp] theorem mem_singleton_iff {a b : α} : a ∈ ({b} : Set α) ↔ a = b := Iff.rfl #align set.mem_singleton_iff Set.mem_singleton_iff @[simp] theorem setOf_eq_eq_singleton {a : α} : { n | n = a } = {a} := rfl #align set.set_of_eq_eq_singleton Set.setOf_eq_eq_singleton @[simp] theorem setOf_eq_eq_singleton' {a : α} : { x | a = x } = {a} := ext fun _ => eq_comm #align set.set_of_eq_eq_singleton' Set.setOf_eq_eq_singleton' -- TODO: again, annotation needed --Porting note (#11119): removed `simp` attribute theorem mem_singleton (a : α) : a ∈ ({a} : Set α) := @rfl _ _ #align set.mem_singleton Set.mem_singleton theorem eq_of_mem_singleton {x y : α} (h : x ∈ ({y} : Set α)) : x = y := h #align set.eq_of_mem_singleton Set.eq_of_mem_singleton @[simp] theorem singleton_eq_singleton_iff {x y : α} : {x} = ({y} : Set α) ↔ x = y := ext_iff.trans eq_iff_eq_cancel_left #align set.singleton_eq_singleton_iff Set.singleton_eq_singleton_iff theorem singleton_injective : Injective (singleton : α → Set α) := fun _ _ => singleton_eq_singleton_iff.mp #align set.singleton_injective Set.singleton_injective theorem mem_singleton_of_eq {x y : α} (H : x = y) : x ∈ ({y} : Set α) := H #align set.mem_singleton_of_eq Set.mem_singleton_of_eq theorem insert_eq (x : α) (s : Set α) : insert x s = ({x} : Set α) ∪ s := rfl #align set.insert_eq Set.insert_eq @[simp] theorem singleton_nonempty (a : α) : ({a} : Set α).Nonempty := ⟨a, rfl⟩ #align set.singleton_nonempty Set.singleton_nonempty @[simp] theorem singleton_ne_empty (a : α) : ({a} : Set α) ≠ ∅ := (singleton_nonempty _).ne_empty #align set.singleton_ne_empty Set.singleton_ne_empty --Porting note (#10618): removed `simp` attribute because `simp` can prove it theorem empty_ssubset_singleton : (∅ : Set α) ⊂ {a} := (singleton_nonempty _).empty_ssubset #align set.empty_ssubset_singleton Set.empty_ssubset_singleton @[simp] theorem singleton_subset_iff {a : α} {s : Set α} : {a} ⊆ s ↔ a ∈ s := forall_eq #align set.singleton_subset_iff Set.singleton_subset_iff theorem singleton_subset_singleton : ({a} : Set α) ⊆ {b} ↔ a = b := by simp #align set.singleton_subset_singleton Set.singleton_subset_singleton theorem set_compr_eq_eq_singleton {a : α} : { b | b = a } = {a} := rfl #align set.set_compr_eq_eq_singleton Set.set_compr_eq_eq_singleton @[simp] theorem singleton_union : {a} ∪ s = insert a s := rfl #align set.singleton_union Set.singleton_union @[simp] theorem union_singleton : s ∪ {a} = insert a s := union_comm _ _ #align set.union_singleton Set.union_singleton @[simp] theorem singleton_inter_nonempty : ({a} ∩ s).Nonempty ↔ a ∈ s := by simp only [Set.Nonempty, mem_inter_iff, mem_singleton_iff, exists_eq_left] #align set.singleton_inter_nonempty Set.singleton_inter_nonempty @[simp] theorem inter_singleton_nonempty : (s ∩ {a}).Nonempty ↔ a ∈ s := by rw [inter_comm, singleton_inter_nonempty] #align set.inter_singleton_nonempty Set.inter_singleton_nonempty @[simp] theorem singleton_inter_eq_empty : {a} ∩ s = ∅ ↔ a ∉ s := not_nonempty_iff_eq_empty.symm.trans singleton_inter_nonempty.not #align set.singleton_inter_eq_empty Set.singleton_inter_eq_empty @[simp] theorem inter_singleton_eq_empty : s ∩ {a} = ∅ ↔ a ∉ s := by rw [inter_comm, singleton_inter_eq_empty] #align set.inter_singleton_eq_empty Set.inter_singleton_eq_empty theorem nmem_singleton_empty {s : Set α} : s ∉ ({∅} : Set (Set α)) ↔ s.Nonempty := nonempty_iff_ne_empty.symm #align set.nmem_singleton_empty Set.nmem_singleton_empty instance uniqueSingleton (a : α) : Unique (↥({a} : Set α)) := ⟨⟨⟨a, mem_singleton a⟩⟩, fun ⟨_, h⟩ => Subtype.eq h⟩ #align set.unique_singleton Set.uniqueSingleton theorem eq_singleton_iff_unique_mem : s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a := Subset.antisymm_iff.trans <| and_comm.trans <| and_congr_left' singleton_subset_iff #align set.eq_singleton_iff_unique_mem Set.eq_singleton_iff_unique_mem theorem eq_singleton_iff_nonempty_unique_mem : s = {a} ↔ s.Nonempty ∧ ∀ x ∈ s, x = a := eq_singleton_iff_unique_mem.trans <| and_congr_left fun H => ⟨fun h' => ⟨_, h'⟩, fun ⟨x, h⟩ => H x h ▸ h⟩ #align set.eq_singleton_iff_nonempty_unique_mem Set.eq_singleton_iff_nonempty_unique_mem set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 -- while `simp` is capable of proving this, it is not capable of turning the LHS into the RHS. @[simp] theorem default_coe_singleton (x : α) : (default : ({x} : Set α)) = ⟨x, rfl⟩ := rfl #align set.default_coe_singleton Set.default_coe_singleton @[simp] theorem subset_singleton_iff {α : Type*} {s : Set α} {x : α} : s ⊆ {x} ↔ ∀ y ∈ s, y = x := Iff.rfl #align set.subset_singleton_iff Set.subset_singleton_iff theorem subset_singleton_iff_eq {s : Set α} {x : α} : s ⊆ {x} ↔ s = ∅ ∨ s = {x} := by obtain rfl | hs := s.eq_empty_or_nonempty · exact ⟨fun _ => Or.inl rfl, fun _ => empty_subset _⟩ · simp [eq_singleton_iff_nonempty_unique_mem, hs, hs.ne_empty] #align set.subset_singleton_iff_eq Set.subset_singleton_iff_eq theorem Nonempty.subset_singleton_iff (h : s.Nonempty) : s ⊆ {a} ↔ s = {a} := subset_singleton_iff_eq.trans <| or_iff_right h.ne_empty #align set.nonempty.subset_singleton_iff Set.Nonempty.subset_singleton_iff theorem ssubset_singleton_iff {s : Set α} {x : α} : s ⊂ {x} ↔ s = ∅ := by rw [ssubset_iff_subset_ne, subset_singleton_iff_eq, or_and_right, and_not_self_iff, or_false_iff, and_iff_left_iff_imp] exact fun h => h ▸ (singleton_ne_empty _).symm #align set.ssubset_singleton_iff Set.ssubset_singleton_iff theorem eq_empty_of_ssubset_singleton {s : Set α} {x : α} (hs : s ⊂ {x}) : s = ∅ := ssubset_singleton_iff.1 hs #align set.eq_empty_of_ssubset_singleton Set.eq_empty_of_ssubset_singleton theorem eq_of_nonempty_of_subsingleton {α} [Subsingleton α] (s t : Set α) [Nonempty s] [Nonempty t] : s = t := nonempty_of_nonempty_subtype.eq_univ.trans nonempty_of_nonempty_subtype.eq_univ.symm theorem eq_of_nonempty_of_subsingleton' {α} [Subsingleton α] {s : Set α} (t : Set α) (hs : s.Nonempty) [Nonempty t] : s = t := have := hs.to_subtype; eq_of_nonempty_of_subsingleton s t set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 theorem Nonempty.eq_zero [Subsingleton α] [Zero α] {s : Set α} (h : s.Nonempty) : s = {0} := eq_of_nonempty_of_subsingleton' {0} h set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 theorem Nonempty.eq_one [Subsingleton α] [One α] {s : Set α} (h : s.Nonempty) : s = {1} := eq_of_nonempty_of_subsingleton' {1} h protected theorem disjoint_iff : Disjoint s t ↔ s ∩ t ⊆ ∅ := disjoint_iff_inf_le #align set.disjoint_iff Set.disjoint_iff theorem disjoint_iff_inter_eq_empty : Disjoint s t ↔ s ∩ t = ∅ := disjoint_iff #align set.disjoint_iff_inter_eq_empty Set.disjoint_iff_inter_eq_empty theorem _root_.Disjoint.inter_eq : Disjoint s t → s ∩ t = ∅ := Disjoint.eq_bot #align disjoint.inter_eq Disjoint.inter_eq theorem disjoint_left : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ s → a ∉ t := disjoint_iff_inf_le.trans <| forall_congr' fun _ => not_and #align set.disjoint_left Set.disjoint_left theorem disjoint_right : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ t → a ∉ s := by rw [disjoint_comm, disjoint_left] #align set.disjoint_right Set.disjoint_right lemma not_disjoint_iff : ¬Disjoint s t ↔ ∃ x, x ∈ s ∧ x ∈ t := Set.disjoint_iff.not.trans <| not_forall.trans <| exists_congr fun _ ↦ not_not #align set.not_disjoint_iff Set.not_disjoint_iff lemma not_disjoint_iff_nonempty_inter : ¬ Disjoint s t ↔ (s ∩ t).Nonempty := not_disjoint_iff #align set.not_disjoint_iff_nonempty_inter Set.not_disjoint_iff_nonempty_inter alias ⟨_, Nonempty.not_disjoint⟩ := not_disjoint_iff_nonempty_inter #align set.nonempty.not_disjoint Set.Nonempty.not_disjoint lemma disjoint_or_nonempty_inter (s t : Set α) : Disjoint s t ∨ (s ∩ t).Nonempty := (em _).imp_right not_disjoint_iff_nonempty_inter.1 #align set.disjoint_or_nonempty_inter Set.disjoint_or_nonempty_inter lemma disjoint_iff_forall_ne : Disjoint s t ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ t → a ≠ b := by simp only [Ne, disjoint_left, @imp_not_comm _ (_ = _), forall_eq'] #align set.disjoint_iff_forall_ne Set.disjoint_iff_forall_ne alias ⟨_root_.Disjoint.ne_of_mem, _⟩ := disjoint_iff_forall_ne #align disjoint.ne_of_mem Disjoint.ne_of_mem lemma disjoint_of_subset_left (h : s ⊆ u) (d : Disjoint u t) : Disjoint s t := d.mono_left h #align set.disjoint_of_subset_left Set.disjoint_of_subset_left lemma disjoint_of_subset_right (h : t ⊆ u) (d : Disjoint s u) : Disjoint s t := d.mono_right h #align set.disjoint_of_subset_right Set.disjoint_of_subset_right lemma disjoint_of_subset (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) (h : Disjoint s₂ t₂) : Disjoint s₁ t₁ := h.mono hs ht #align set.disjoint_of_subset Set.disjoint_of_subset @[simp] lemma disjoint_union_left : Disjoint (s ∪ t) u ↔ Disjoint s u ∧ Disjoint t u := disjoint_sup_left #align set.disjoint_union_left Set.disjoint_union_left @[simp] lemma disjoint_union_right : Disjoint s (t ∪ u) ↔ Disjoint s t ∧ Disjoint s u := disjoint_sup_right #align set.disjoint_union_right Set.disjoint_union_right @[simp] lemma disjoint_empty (s : Set α) : Disjoint s ∅ := disjoint_bot_right #align set.disjoint_empty Set.disjoint_empty @[simp] lemma empty_disjoint (s : Set α) : Disjoint ∅ s := disjoint_bot_left #align set.empty_disjoint Set.empty_disjoint @[simp] lemma univ_disjoint : Disjoint univ s ↔ s = ∅ := top_disjoint #align set.univ_disjoint Set.univ_disjoint @[simp] lemma disjoint_univ : Disjoint s univ ↔ s = ∅ := disjoint_top #align set.disjoint_univ Set.disjoint_univ lemma disjoint_sdiff_left : Disjoint (t \ s) s := disjoint_sdiff_self_left #align set.disjoint_sdiff_left Set.disjoint_sdiff_left lemma disjoint_sdiff_right : Disjoint s (t \ s) := disjoint_sdiff_self_right #align set.disjoint_sdiff_right Set.disjoint_sdiff_right -- TODO: prove this in terms of a lattice lemma theorem disjoint_sdiff_inter : Disjoint (s \ t) (s ∩ t) := disjoint_of_subset_right inter_subset_right disjoint_sdiff_left #align set.disjoint_sdiff_inter Set.disjoint_sdiff_inter theorem diff_union_diff_cancel (hts : t ⊆ s) (hut : u ⊆ t) : s \ t ∪ t \ u = s \ u := sdiff_sup_sdiff_cancel hts hut #align set.diff_union_diff_cancel Set.diff_union_diff_cancel theorem diff_diff_eq_sdiff_union (h : u ⊆ s) : s \ (t \ u) = s \ t ∪ u := sdiff_sdiff_eq_sdiff_sup h #align set.diff_diff_eq_sdiff_union Set.diff_diff_eq_sdiff_union @[simp default+1] lemma disjoint_singleton_left : Disjoint {a} s ↔ a ∉ s := by simp [Set.disjoint_iff, subset_def] #align set.disjoint_singleton_left Set.disjoint_singleton_left @[simp] lemma disjoint_singleton_right : Disjoint s {a} ↔ a ∉ s := disjoint_comm.trans disjoint_singleton_left #align set.disjoint_singleton_right Set.disjoint_singleton_right lemma disjoint_singleton : Disjoint ({a} : Set α) {b} ↔ a ≠ b := by simp #align set.disjoint_singleton Set.disjoint_singleton lemma subset_diff : s ⊆ t \ u ↔ s ⊆ t ∧ Disjoint s u := le_iff_subset.symm.trans le_sdiff #align set.subset_diff Set.subset_diff lemma ssubset_iff_sdiff_singleton : s ⊂ t ↔ ∃ a ∈ t, s ⊆ t \ {a} := by simp [ssubset_iff_insert, subset_diff, insert_subset_iff]; aesop theorem inter_diff_distrib_left (s t u : Set α) : s ∩ (t \ u) = (s ∩ t) \ (s ∩ u) := inf_sdiff_distrib_left _ _ _ #align set.inter_diff_distrib_left Set.inter_diff_distrib_left theorem inter_diff_distrib_right (s t u : Set α) : s \ t ∩ u = (s ∩ u) \ (t ∩ u) := inf_sdiff_distrib_right _ _ _ #align set.inter_diff_distrib_right Set.inter_diff_distrib_right theorem compl_def (s : Set α) : sᶜ = { x | x ∉ s } := rfl #align set.compl_def Set.compl_def theorem mem_compl {s : Set α} {x : α} (h : x ∉ s) : x ∈ sᶜ := h #align set.mem_compl Set.mem_compl theorem compl_setOf {α} (p : α → Prop) : { a | p a }ᶜ = { a | ¬p a } := rfl #align set.compl_set_of Set.compl_setOf theorem not_mem_of_mem_compl {s : Set α} {x : α} (h : x ∈ sᶜ) : x ∉ s := h #align set.not_mem_of_mem_compl Set.not_mem_of_mem_compl theorem not_mem_compl_iff {x : α} : x ∉ sᶜ ↔ x ∈ s := not_not #align set.not_mem_compl_iff Set.not_mem_compl_iff @[simp] theorem inter_compl_self (s : Set α) : s ∩ sᶜ = ∅ := inf_compl_eq_bot #align set.inter_compl_self Set.inter_compl_self @[simp] theorem compl_inter_self (s : Set α) : sᶜ ∩ s = ∅ := compl_inf_eq_bot #align set.compl_inter_self Set.compl_inter_self @[simp] theorem compl_empty : (∅ : Set α)ᶜ = univ := compl_bot #align set.compl_empty Set.compl_empty @[simp] theorem compl_union (s t : Set α) : (s ∪ t)ᶜ = sᶜ ∩ tᶜ := compl_sup #align set.compl_union Set.compl_union theorem compl_inter (s t : Set α) : (s ∩ t)ᶜ = sᶜ ∪ tᶜ := compl_inf #align set.compl_inter Set.compl_inter @[simp] theorem compl_univ : (univ : Set α)ᶜ = ∅ := compl_top #align set.compl_univ Set.compl_univ @[simp] theorem compl_empty_iff {s : Set α} : sᶜ = ∅ ↔ s = univ := compl_eq_bot #align set.compl_empty_iff Set.compl_empty_iff @[simp] theorem compl_univ_iff {s : Set α} : sᶜ = univ ↔ s = ∅ := compl_eq_top #align set.compl_univ_iff Set.compl_univ_iff theorem compl_ne_univ : sᶜ ≠ univ ↔ s.Nonempty := compl_univ_iff.not.trans nonempty_iff_ne_empty.symm #align set.compl_ne_univ Set.compl_ne_univ theorem nonempty_compl : sᶜ.Nonempty ↔ s ≠ univ := (ne_univ_iff_exists_not_mem s).symm #align set.nonempty_compl Set.nonempty_compl @[simp] lemma nonempty_compl_of_nontrivial [Nontrivial α] (x : α) : Set.Nonempty {x}ᶜ := by obtain ⟨y, hy⟩ := exists_ne x exact ⟨y, by simp [hy]⟩ theorem mem_compl_singleton_iff {a x : α} : x ∈ ({a} : Set α)ᶜ ↔ x ≠ a := Iff.rfl #align set.mem_compl_singleton_iff Set.mem_compl_singleton_iff theorem compl_singleton_eq (a : α) : ({a} : Set α)ᶜ = { x | x ≠ a } := rfl #align set.compl_singleton_eq Set.compl_singleton_eq @[simp] theorem compl_ne_eq_singleton (a : α) : ({ x | x ≠ a } : Set α)ᶜ = {a} := compl_compl _ #align set.compl_ne_eq_singleton Set.compl_ne_eq_singleton theorem union_eq_compl_compl_inter_compl (s t : Set α) : s ∪ t = (sᶜ ∩ tᶜ)ᶜ := ext fun _ => or_iff_not_and_not #align set.union_eq_compl_compl_inter_compl Set.union_eq_compl_compl_inter_compl theorem inter_eq_compl_compl_union_compl (s t : Set α) : s ∩ t = (sᶜ ∪ tᶜ)ᶜ := ext fun _ => and_iff_not_or_not #align set.inter_eq_compl_compl_union_compl Set.inter_eq_compl_compl_union_compl @[simp] theorem union_compl_self (s : Set α) : s ∪ sᶜ = univ := eq_univ_iff_forall.2 fun _ => em _ #align set.union_compl_self Set.union_compl_self @[simp] theorem compl_union_self (s : Set α) : sᶜ ∪ s = univ := by rw [union_comm, union_compl_self] #align set.compl_union_self Set.compl_union_self theorem compl_subset_comm : sᶜ ⊆ t ↔ tᶜ ⊆ s := @compl_le_iff_compl_le _ s _ _ #align set.compl_subset_comm Set.compl_subset_comm theorem subset_compl_comm : s ⊆ tᶜ ↔ t ⊆ sᶜ := @le_compl_iff_le_compl _ _ _ t #align set.subset_compl_comm Set.subset_compl_comm @[simp] theorem compl_subset_compl : sᶜ ⊆ tᶜ ↔ t ⊆ s := @compl_le_compl_iff_le (Set α) _ _ _ #align set.compl_subset_compl Set.compl_subset_compl @[gcongr] theorem compl_subset_compl_of_subset (h : t ⊆ s) : sᶜ ⊆ tᶜ := compl_subset_compl.2 h theorem subset_compl_iff_disjoint_left : s ⊆ tᶜ ↔ Disjoint t s := @le_compl_iff_disjoint_left (Set α) _ _ _ #align set.subset_compl_iff_disjoint_left Set.subset_compl_iff_disjoint_left theorem subset_compl_iff_disjoint_right : s ⊆ tᶜ ↔ Disjoint s t := @le_compl_iff_disjoint_right (Set α) _ _ _ #align set.subset_compl_iff_disjoint_right Set.subset_compl_iff_disjoint_right theorem disjoint_compl_left_iff_subset : Disjoint sᶜ t ↔ t ⊆ s := disjoint_compl_left_iff #align set.disjoint_compl_left_iff_subset Set.disjoint_compl_left_iff_subset theorem disjoint_compl_right_iff_subset : Disjoint s tᶜ ↔ s ⊆ t := disjoint_compl_right_iff #align set.disjoint_compl_right_iff_subset Set.disjoint_compl_right_iff_subset alias ⟨_, _root_.Disjoint.subset_compl_right⟩ := subset_compl_iff_disjoint_right #align disjoint.subset_compl_right Disjoint.subset_compl_right alias ⟨_, _root_.Disjoint.subset_compl_left⟩ := subset_compl_iff_disjoint_left #align disjoint.subset_compl_left Disjoint.subset_compl_left alias ⟨_, _root_.HasSubset.Subset.disjoint_compl_left⟩ := disjoint_compl_left_iff_subset #align has_subset.subset.disjoint_compl_left HasSubset.Subset.disjoint_compl_left alias ⟨_, _root_.HasSubset.Subset.disjoint_compl_right⟩ := disjoint_compl_right_iff_subset #align has_subset.subset.disjoint_compl_right HasSubset.Subset.disjoint_compl_right theorem subset_union_compl_iff_inter_subset {s t u : Set α} : s ⊆ t ∪ uᶜ ↔ s ∩ u ⊆ t := (@isCompl_compl _ u _).le_sup_right_iff_inf_left_le #align set.subset_union_compl_iff_inter_subset Set.subset_union_compl_iff_inter_subset theorem compl_subset_iff_union {s t : Set α} : sᶜ ⊆ t ↔ s ∪ t = univ := Iff.symm <| eq_univ_iff_forall.trans <| forall_congr' fun _ => or_iff_not_imp_left #align set.compl_subset_iff_union Set.compl_subset_iff_union @[simp] theorem subset_compl_singleton_iff {a : α} {s : Set α} : s ⊆ {a}ᶜ ↔ a ∉ s := subset_compl_comm.trans singleton_subset_iff #align set.subset_compl_singleton_iff Set.subset_compl_singleton_iff theorem inter_subset (a b c : Set α) : a ∩ b ⊆ c ↔ a ⊆ bᶜ ∪ c := forall_congr' fun _ => and_imp.trans <| imp_congr_right fun _ => imp_iff_not_or #align set.inter_subset Set.inter_subset theorem inter_compl_nonempty_iff {s t : Set α} : (s ∩ tᶜ).Nonempty ↔ ¬s ⊆ t := (not_subset.trans <| exists_congr fun x => by simp [mem_compl]).symm #align set.inter_compl_nonempty_iff Set.inter_compl_nonempty_iff theorem not_mem_diff_of_mem {s t : Set α} {x : α} (hx : x ∈ t) : x ∉ s \ t := fun h => h.2 hx #align set.not_mem_diff_of_mem Set.not_mem_diff_of_mem theorem mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∈ s := h.left #align set.mem_of_mem_diff Set.mem_of_mem_diff theorem not_mem_of_mem_diff {s t : Set α} {x : α} (h : x ∈ s \ t) : x ∉ t := h.right #align set.not_mem_of_mem_diff Set.not_mem_of_mem_diff theorem diff_eq_compl_inter {s t : Set α} : s \ t = tᶜ ∩ s := by rw [diff_eq, inter_comm] #align set.diff_eq_compl_inter Set.diff_eq_compl_inter theorem nonempty_diff {s t : Set α} : (s \ t).Nonempty ↔ ¬s ⊆ t := inter_compl_nonempty_iff #align set.nonempty_diff Set.nonempty_diff theorem diff_subset {s t : Set α} : s \ t ⊆ s := show s \ t ≤ s from sdiff_le #align set.diff_subset Set.diff_subset theorem diff_subset_compl (s t : Set α) : s \ t ⊆ tᶜ := diff_eq_compl_inter ▸ inter_subset_left theorem union_diff_cancel' {s t u : Set α} (h₁ : s ⊆ t) (h₂ : t ⊆ u) : t ∪ u \ s = u := sup_sdiff_cancel' h₁ h₂ #align set.union_diff_cancel' Set.union_diff_cancel' theorem union_diff_cancel {s t : Set α} (h : s ⊆ t) : s ∪ t \ s = t := sup_sdiff_cancel_right h #align set.union_diff_cancel Set.union_diff_cancel theorem union_diff_cancel_left {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ s = t := Disjoint.sup_sdiff_cancel_left <| disjoint_iff_inf_le.2 h #align set.union_diff_cancel_left Set.union_diff_cancel_left theorem union_diff_cancel_right {s t : Set α} (h : s ∩ t ⊆ ∅) : (s ∪ t) \ t = s := Disjoint.sup_sdiff_cancel_right <| disjoint_iff_inf_le.2 h #align set.union_diff_cancel_right Set.union_diff_cancel_right @[simp] theorem union_diff_left {s t : Set α} : (s ∪ t) \ s = t \ s := sup_sdiff_left_self #align set.union_diff_left Set.union_diff_left @[simp] theorem union_diff_right {s t : Set α} : (s ∪ t) \ t = s \ t := sup_sdiff_right_self #align set.union_diff_right Set.union_diff_right theorem union_diff_distrib {s t u : Set α} : (s ∪ t) \ u = s \ u ∪ t \ u := sup_sdiff #align set.union_diff_distrib Set.union_diff_distrib theorem inter_diff_assoc (a b c : Set α) : (a ∩ b) \ c = a ∩ (b \ c) := inf_sdiff_assoc #align set.inter_diff_assoc Set.inter_diff_assoc @[simp] theorem inter_diff_self (a b : Set α) : a ∩ (b \ a) = ∅ := inf_sdiff_self_right #align set.inter_diff_self Set.inter_diff_self @[simp] theorem inter_union_diff (s t : Set α) : s ∩ t ∪ s \ t = s := sup_inf_sdiff s t #align set.inter_union_diff Set.inter_union_diff @[simp] theorem diff_union_inter (s t : Set α) : s \ t ∪ s ∩ t = s := by rw [union_comm] exact sup_inf_sdiff _ _ #align set.diff_union_inter Set.diff_union_inter @[simp] theorem inter_union_compl (s t : Set α) : s ∩ t ∪ s ∩ tᶜ = s := inter_union_diff _ _ #align set.inter_union_compl Set.inter_union_compl @[gcongr] theorem diff_subset_diff {s₁ s₂ t₁ t₂ : Set α} : s₁ ⊆ s₂ → t₂ ⊆ t₁ → s₁ \ t₁ ⊆ s₂ \ t₂ := show s₁ ≤ s₂ → t₂ ≤ t₁ → s₁ \ t₁ ≤ s₂ \ t₂ from sdiff_le_sdiff #align set.diff_subset_diff Set.diff_subset_diff @[gcongr] theorem diff_subset_diff_left {s₁ s₂ t : Set α} (h : s₁ ⊆ s₂) : s₁ \ t ⊆ s₂ \ t := sdiff_le_sdiff_right ‹s₁ ≤ s₂› #align set.diff_subset_diff_left Set.diff_subset_diff_left @[gcongr] theorem diff_subset_diff_right {s t u : Set α} (h : t ⊆ u) : s \ u ⊆ s \ t := sdiff_le_sdiff_left ‹t ≤ u› #align set.diff_subset_diff_right Set.diff_subset_diff_right theorem compl_eq_univ_diff (s : Set α) : sᶜ = univ \ s := top_sdiff.symm #align set.compl_eq_univ_diff Set.compl_eq_univ_diff @[simp] theorem empty_diff (s : Set α) : (∅ \ s : Set α) = ∅ := bot_sdiff #align set.empty_diff Set.empty_diff theorem diff_eq_empty {s t : Set α} : s \ t = ∅ ↔ s ⊆ t := sdiff_eq_bot_iff #align set.diff_eq_empty Set.diff_eq_empty @[simp] theorem diff_empty {s : Set α} : s \ ∅ = s := sdiff_bot #align set.diff_empty Set.diff_empty @[simp] theorem diff_univ (s : Set α) : s \ univ = ∅ := diff_eq_empty.2 (subset_univ s) #align set.diff_univ Set.diff_univ theorem diff_diff {u : Set α} : (s \ t) \ u = s \ (t ∪ u) := sdiff_sdiff_left #align set.diff_diff Set.diff_diff -- the following statement contains parentheses to help the reader theorem diff_diff_comm {s t u : Set α} : (s \ t) \ u = (s \ u) \ t := sdiff_sdiff_comm #align set.diff_diff_comm Set.diff_diff_comm theorem diff_subset_iff {s t u : Set α} : s \ t ⊆ u ↔ s ⊆ t ∪ u := show s \ t ≤ u ↔ s ≤ t ∪ u from sdiff_le_iff #align set.diff_subset_iff Set.diff_subset_iff theorem subset_diff_union (s t : Set α) : s ⊆ s \ t ∪ t := show s ≤ s \ t ∪ t from le_sdiff_sup #align set.subset_diff_union Set.subset_diff_union theorem diff_union_of_subset {s t : Set α} (h : t ⊆ s) : s \ t ∪ t = s := Subset.antisymm (union_subset diff_subset h) (subset_diff_union _ _) #align set.diff_union_of_subset Set.diff_union_of_subset @[simp] theorem diff_singleton_subset_iff {x : α} {s t : Set α} : s \ {x} ⊆ t ↔ s ⊆ insert x t := by rw [← union_singleton, union_comm] apply diff_subset_iff #align set.diff_singleton_subset_iff Set.diff_singleton_subset_iff theorem subset_diff_singleton {x : α} {s t : Set α} (h : s ⊆ t) (hx : x ∉ s) : s ⊆ t \ {x} := subset_inter h <| subset_compl_comm.1 <| singleton_subset_iff.2 hx #align set.subset_diff_singleton Set.subset_diff_singleton theorem subset_insert_diff_singleton (x : α) (s : Set α) : s ⊆ insert x (s \ {x}) := by rw [← diff_singleton_subset_iff] #align set.subset_insert_diff_singleton Set.subset_insert_diff_singleton theorem diff_subset_comm {s t u : Set α} : s \ t ⊆ u ↔ s \ u ⊆ t := show s \ t ≤ u ↔ s \ u ≤ t from sdiff_le_comm #align set.diff_subset_comm Set.diff_subset_comm theorem diff_inter {s t u : Set α} : s \ (t ∩ u) = s \ t ∪ s \ u := sdiff_inf #align set.diff_inter Set.diff_inter theorem diff_inter_diff {s t u : Set α} : s \ t ∩ (s \ u) = s \ (t ∪ u) := sdiff_sup.symm #align set.diff_inter_diff Set.diff_inter_diff theorem diff_compl : s \ tᶜ = s ∩ t := sdiff_compl #align set.diff_compl Set.diff_compl theorem diff_diff_right {s t u : Set α} : s \ (t \ u) = s \ t ∪ s ∩ u := sdiff_sdiff_right' #align set.diff_diff_right Set.diff_diff_right @[simp] theorem insert_diff_of_mem (s) (h : a ∈ t) : insert a s \ t = s \ t := by ext constructor <;> simp (config := { contextual := true }) [or_imp, h] #align set.insert_diff_of_mem Set.insert_diff_of_mem theorem insert_diff_of_not_mem (s) (h : a ∉ t) : insert a s \ t = insert a (s \ t) := by classical ext x by_cases h' : x ∈ t · have : x ≠ a := by intro H rw [H] at h' exact h h' simp [h, h', this] · simp [h, h'] #align set.insert_diff_of_not_mem Set.insert_diff_of_not_mem theorem insert_diff_self_of_not_mem {a : α} {s : Set α} (h : a ∉ s) : insert a s \ {a} = s := by ext x simp [and_iff_left_of_imp fun hx : x ∈ s => show x ≠ a from fun hxa => h <| hxa ▸ hx] #align set.insert_diff_self_of_not_mem Set.insert_diff_self_of_not_mem @[simp] theorem insert_diff_eq_singleton {a : α} {s : Set α} (h : a ∉ s) : insert a s \ s = {a} := by ext rw [Set.mem_diff, Set.mem_insert_iff, Set.mem_singleton_iff, or_and_right, and_not_self_iff, or_false_iff, and_iff_left_iff_imp] rintro rfl exact h #align set.insert_diff_eq_singleton Set.insert_diff_eq_singleton theorem inter_insert_of_mem (h : a ∈ s) : s ∩ insert a t = insert a (s ∩ t) := by rw [insert_inter_distrib, insert_eq_of_mem h] #align set.inter_insert_of_mem Set.inter_insert_of_mem theorem insert_inter_of_mem (h : a ∈ t) : insert a s ∩ t = insert a (s ∩ t) := by rw [insert_inter_distrib, insert_eq_of_mem h] #align set.insert_inter_of_mem Set.insert_inter_of_mem theorem inter_insert_of_not_mem (h : a ∉ s) : s ∩ insert a t = s ∩ t := ext fun _ => and_congr_right fun hx => or_iff_right <| ne_of_mem_of_not_mem hx h #align set.inter_insert_of_not_mem Set.inter_insert_of_not_mem theorem insert_inter_of_not_mem (h : a ∉ t) : insert a s ∩ t = s ∩ t := ext fun _ => and_congr_left fun hx => or_iff_right <| ne_of_mem_of_not_mem hx h #align set.insert_inter_of_not_mem Set.insert_inter_of_not_mem @[simp] theorem union_diff_self {s t : Set α} : s ∪ t \ s = s ∪ t := sup_sdiff_self _ _ #align set.union_diff_self Set.union_diff_self @[simp] theorem diff_union_self {s t : Set α} : s \ t ∪ t = s ∪ t := sdiff_sup_self _ _ #align set.diff_union_self Set.diff_union_self @[simp] theorem diff_inter_self {a b : Set α} : b \ a ∩ a = ∅ := inf_sdiff_self_left #align set.diff_inter_self Set.diff_inter_self @[simp] theorem diff_inter_self_eq_diff {s t : Set α} : s \ (t ∩ s) = s \ t := sdiff_inf_self_right _ _ #align set.diff_inter_self_eq_diff Set.diff_inter_self_eq_diff @[simp] theorem diff_self_inter {s t : Set α} : s \ (s ∩ t) = s \ t := sdiff_inf_self_left _ _ #align set.diff_self_inter Set.diff_self_inter @[simp] theorem diff_singleton_eq_self {a : α} {s : Set α} (h : a ∉ s) : s \ {a} = s := sdiff_eq_self_iff_disjoint.2 <| by simp [h] #align set.diff_singleton_eq_self Set.diff_singleton_eq_self @[simp] theorem diff_singleton_sSubset {s : Set α} {a : α} : s \ {a} ⊂ s ↔ a ∈ s := sdiff_le.lt_iff_ne.trans <| sdiff_eq_left.not.trans <| by simp #align set.diff_singleton_ssubset Set.diff_singleton_sSubset @[simp] theorem insert_diff_singleton {a : α} {s : Set α} : insert a (s \ {a}) = insert a s := by simp [insert_eq, union_diff_self, -union_singleton, -singleton_union] #align set.insert_diff_singleton Set.insert_diff_singleton theorem insert_diff_singleton_comm (hab : a ≠ b) (s : Set α) : insert a (s \ {b}) = insert a s \ {b} := by simp_rw [← union_singleton, union_diff_distrib, diff_singleton_eq_self (mem_singleton_iff.not.2 hab.symm)] #align set.insert_diff_singleton_comm Set.insert_diff_singleton_comm --Porting note (#10618): removed `simp` attribute because `simp` can prove it theorem diff_self {s : Set α} : s \ s = ∅ := sdiff_self #align set.diff_self Set.diff_self theorem diff_diff_right_self (s t : Set α) : s \ (s \ t) = s ∩ t := sdiff_sdiff_right_self #align set.diff_diff_right_self Set.diff_diff_right_self theorem diff_diff_cancel_left {s t : Set α} (h : s ⊆ t) : t \ (t \ s) = s := sdiff_sdiff_eq_self h #align set.diff_diff_cancel_left Set.diff_diff_cancel_left theorem mem_diff_singleton {x y : α} {s : Set α} : x ∈ s \ {y} ↔ x ∈ s ∧ x ≠ y := Iff.rfl #align set.mem_diff_singleton Set.mem_diff_singleton theorem mem_diff_singleton_empty {t : Set (Set α)} : s ∈ t \ {∅} ↔ s ∈ t ∧ s.Nonempty := mem_diff_singleton.trans <| and_congr_right' nonempty_iff_ne_empty.symm #align set.mem_diff_singleton_empty Set.mem_diff_singleton_empty theorem subset_insert_iff {s t : Set α} {x : α} : s ⊆ insert x t ↔ s ⊆ t ∨ (x ∈ s ∧ s \ {x} ⊆ t) := by rw [← diff_singleton_subset_iff] by_cases hx : x ∈ s · rw [and_iff_right hx, or_iff_right_of_imp diff_subset.trans] rw [diff_singleton_eq_self hx, or_iff_left_of_imp And.right] theorem union_eq_diff_union_diff_union_inter (s t : Set α) : s ∪ t = s \ t ∪ t \ s ∪ s ∩ t := sup_eq_sdiff_sup_sdiff_sup_inf #align set.union_eq_diff_union_diff_union_inter Set.union_eq_diff_union_diff_union_inter --Porting note (#10618): removed `simp` attribute because `simp` can prove it theorem pair_eq_singleton (a : α) : ({a, a} : Set α) = {a} := union_self _ #align set.pair_eq_singleton Set.pair_eq_singleton theorem pair_comm (a b : α) : ({a, b} : Set α) = {b, a} := union_comm _ _ #align set.pair_comm Set.pair_comm theorem pair_eq_pair_iff {x y z w : α} : ({x, y} : Set α) = {z, w} ↔ x = z ∧ y = w ∨ x = w ∧ y = z := by simp [subset_antisymm_iff, insert_subset_iff]; aesop #align set.pair_eq_pair_iff Set.pair_eq_pair_iff theorem pair_diff_left (hne : a ≠ b) : ({a, b} : Set α) \ {a} = {b} := by rw [insert_diff_of_mem _ (mem_singleton a), diff_singleton_eq_self (by simpa)] theorem pair_diff_right (hne : a ≠ b) : ({a, b} : Set α) \ {b} = {a} := by rw [pair_comm, pair_diff_left hne.symm] theorem pair_subset_iff : {a, b} ⊆ s ↔ a ∈ s ∧ b ∈ s := by rw [insert_subset_iff, singleton_subset_iff] theorem pair_subset (ha : a ∈ s) (hb : b ∈ s) : {a, b} ⊆ s := pair_subset_iff.2 ⟨ha,hb⟩ theorem subset_pair_iff : s ⊆ {a, b} ↔ ∀ x ∈ s, x = a ∨ x = b := by simp [subset_def] theorem subset_pair_iff_eq {x y : α} : s ⊆ {x, y} ↔ s = ∅ ∨ s = {x} ∨ s = {y} ∨ s = {x, y} := by refine ⟨?_, by rintro (rfl | rfl | rfl | rfl) <;> simp [pair_subset_iff]⟩ rw [subset_insert_iff, subset_singleton_iff_eq, subset_singleton_iff_eq, ← subset_empty_iff (s := s \ {x}), diff_subset_iff, union_empty, subset_singleton_iff_eq] have h : x ∈ s → {y} = s \ {x} → s = {x,y} := fun h₁ h₂ ↦ by simp [h₁, h₂] tauto theorem Nonempty.subset_pair_iff_eq (hs : s.Nonempty) : s ⊆ {a, b} ↔ s = {a} ∨ s = {b} ∨ s = {a, b} := by rw [Set.subset_pair_iff_eq, or_iff_right]; exact hs.ne_empty section open scoped symmDiff theorem mem_symmDiff : a ∈ s ∆ t ↔ a ∈ s ∧ a ∉ t ∨ a ∈ t ∧ a ∉ s := Iff.rfl #align set.mem_symm_diff Set.mem_symmDiff protected theorem symmDiff_def (s t : Set α) : s ∆ t = s \ t ∪ t \ s := rfl #align set.symm_diff_def Set.symmDiff_def theorem symmDiff_subset_union : s ∆ t ⊆ s ∪ t := @symmDiff_le_sup (Set α) _ _ _ #align set.symm_diff_subset_union Set.symmDiff_subset_union @[simp] theorem symmDiff_eq_empty : s ∆ t = ∅ ↔ s = t := symmDiff_eq_bot #align set.symm_diff_eq_empty Set.symmDiff_eq_empty @[simp] theorem symmDiff_nonempty : (s ∆ t).Nonempty ↔ s ≠ t := nonempty_iff_ne_empty.trans symmDiff_eq_empty.not #align set.symm_diff_nonempty Set.symmDiff_nonempty theorem inter_symmDiff_distrib_left (s t u : Set α) : s ∩ t ∆ u = (s ∩ t) ∆ (s ∩ u) := inf_symmDiff_distrib_left _ _ _ #align set.inter_symm_diff_distrib_left Set.inter_symmDiff_distrib_left theorem inter_symmDiff_distrib_right (s t u : Set α) : s ∆ t ∩ u = (s ∩ u) ∆ (t ∩ u) := inf_symmDiff_distrib_right _ _ _ #align set.inter_symm_diff_distrib_right Set.inter_symmDiff_distrib_right theorem subset_symmDiff_union_symmDiff_left (h : Disjoint s t) : u ⊆ s ∆ u ∪ t ∆ u := h.le_symmDiff_sup_symmDiff_left #align set.subset_symm_diff_union_symm_diff_left Set.subset_symmDiff_union_symmDiff_left theorem subset_symmDiff_union_symmDiff_right (h : Disjoint t u) : s ⊆ s ∆ t ∪ s ∆ u := h.le_symmDiff_sup_symmDiff_right #align set.subset_symm_diff_union_symm_diff_right Set.subset_symmDiff_union_symmDiff_right end #align set.powerset Set.powerset theorem mem_powerset {x s : Set α} (h : x ⊆ s) : x ∈ 𝒫 s := @h #align set.mem_powerset Set.mem_powerset theorem subset_of_mem_powerset {x s : Set α} (h : x ∈ 𝒫 s) : x ⊆ s := @h #align set.subset_of_mem_powerset Set.subset_of_mem_powerset @[simp] theorem mem_powerset_iff (x s : Set α) : x ∈ 𝒫 s ↔ x ⊆ s := Iff.rfl #align set.mem_powerset_iff Set.mem_powerset_iff theorem powerset_inter (s t : Set α) : 𝒫(s ∩ t) = 𝒫 s ∩ 𝒫 t := ext fun _ => subset_inter_iff #align set.powerset_inter Set.powerset_inter @[simp] theorem powerset_mono : 𝒫 s ⊆ 𝒫 t ↔ s ⊆ t := ⟨fun h => @h _ (fun _ h => h), fun h _ hu _ ha => h (hu ha)⟩ #align set.powerset_mono Set.powerset_mono theorem monotone_powerset : Monotone (powerset : Set α → Set (Set α)) := fun _ _ => powerset_mono.2 #align set.monotone_powerset Set.monotone_powerset @[simp] theorem powerset_nonempty : (𝒫 s).Nonempty := ⟨∅, fun _ h => empty_subset s h⟩ #align set.powerset_nonempty Set.powerset_nonempty @[simp] theorem powerset_empty : 𝒫(∅ : Set α) = {∅} := ext fun _ => subset_empty_iff #align set.powerset_empty Set.powerset_empty @[simp] theorem powerset_univ : 𝒫(univ : Set α) = univ := eq_univ_of_forall subset_univ #align set.powerset_univ Set.powerset_univ theorem powerset_singleton (x : α) : 𝒫({x} : Set α) = {∅, {x}} := by ext y rw [mem_powerset_iff, subset_singleton_iff_eq, mem_insert_iff, mem_singleton_iff] #align set.powerset_singleton Set.powerset_singleton theorem mem_dite (p : Prop) [Decidable p] (s : p → Set α) (t : ¬ p → Set α) (x : α) : (x ∈ if h : p then s h else t h) ↔ (∀ h : p, x ∈ s h) ∧ ∀ h : ¬p, x ∈ t h := by split_ifs with hp · exact ⟨fun hx => ⟨fun _ => hx, fun hnp => (hnp hp).elim⟩, fun hx => hx.1 hp⟩ · exact ⟨fun hx => ⟨fun h => (hp h).elim, fun _ => hx⟩, fun hx => hx.2 hp⟩ theorem mem_dite_univ_right (p : Prop) [Decidable p] (t : p → Set α) (x : α) : (x ∈ if h : p then t h else univ) ↔ ∀ h : p, x ∈ t h := by split_ifs <;> simp_all #align set.mem_dite_univ_right Set.mem_dite_univ_right @[simp] theorem mem_ite_univ_right (p : Prop) [Decidable p] (t : Set α) (x : α) : x ∈ ite p t Set.univ ↔ p → x ∈ t := mem_dite_univ_right p (fun _ => t) x #align set.mem_ite_univ_right Set.mem_ite_univ_right theorem mem_dite_univ_left (p : Prop) [Decidable p] (t : ¬p → Set α) (x : α) : (x ∈ if h : p then univ else t h) ↔ ∀ h : ¬p, x ∈ t h := by split_ifs <;> simp_all #align set.mem_dite_univ_left Set.mem_dite_univ_left @[simp] theorem mem_ite_univ_left (p : Prop) [Decidable p] (t : Set α) (x : α) : x ∈ ite p Set.univ t ↔ ¬p → x ∈ t := mem_dite_univ_left p (fun _ => t) x #align set.mem_ite_univ_left Set.mem_ite_univ_left theorem mem_dite_empty_right (p : Prop) [Decidable p] (t : p → Set α) (x : α) : (x ∈ if h : p then t h else ∅) ↔ ∃ h : p, x ∈ t h := by simp only [mem_dite, mem_empty_iff_false, imp_false, not_not] exact ⟨fun h => ⟨h.2, h.1 h.2⟩, fun ⟨h₁, h₂⟩ => ⟨fun _ => h₂, h₁⟩⟩ #align set.mem_dite_empty_right Set.mem_dite_empty_right @[simp] theorem mem_ite_empty_right (p : Prop) [Decidable p] (t : Set α) (x : α) : x ∈ ite p t ∅ ↔ p ∧ x ∈ t := (mem_dite_empty_right p (fun _ => t) x).trans (by simp) #align set.mem_ite_empty_right Set.mem_ite_empty_right theorem mem_dite_empty_left (p : Prop) [Decidable p] (t : ¬p → Set α) (x : α) : (x ∈ if h : p then ∅ else t h) ↔ ∃ h : ¬p, x ∈ t h := by simp only [mem_dite, mem_empty_iff_false, imp_false] exact ⟨fun h => ⟨h.1, h.2 h.1⟩, fun ⟨h₁, h₂⟩ => ⟨fun h => h₁ h, fun _ => h₂⟩⟩ #align set.mem_dite_empty_left Set.mem_dite_empty_left @[simp] theorem mem_ite_empty_left (p : Prop) [Decidable p] (t : Set α) (x : α) : x ∈ ite p ∅ t ↔ ¬p ∧ x ∈ t := (mem_dite_empty_left p (fun _ => t) x).trans (by simp) #align set.mem_ite_empty_left Set.mem_ite_empty_left protected def ite (t s s' : Set α) : Set α := s ∩ t ∪ s' \ t #align set.ite Set.ite @[simp] theorem ite_inter_self (t s s' : Set α) : t.ite s s' ∩ t = s ∩ t := by rw [Set.ite, union_inter_distrib_right, diff_inter_self, inter_assoc, inter_self, union_empty] #align set.ite_inter_self Set.ite_inter_self @[simp] theorem ite_compl (t s s' : Set α) : tᶜ.ite s s' = t.ite s' s := by rw [Set.ite, Set.ite, diff_compl, union_comm, diff_eq] #align set.ite_compl Set.ite_compl @[simp] theorem ite_inter_compl_self (t s s' : Set α) : t.ite s s' ∩ tᶜ = s' ∩ tᶜ := by rw [← ite_compl, ite_inter_self] #align set.ite_inter_compl_self Set.ite_inter_compl_self @[simp] theorem ite_diff_self (t s s' : Set α) : t.ite s s' \ t = s' \ t := ite_inter_compl_self t s s' #align set.ite_diff_self Set.ite_diff_self @[simp] theorem ite_same (t s : Set α) : t.ite s s = s := inter_union_diff _ _ #align set.ite_same Set.ite_same @[simp] theorem ite_left (s t : Set α) : s.ite s t = s ∪ t := by simp [Set.ite] #align set.ite_left Set.ite_left @[simp] theorem ite_right (s t : Set α) : s.ite t s = t ∩ s := by simp [Set.ite] #align set.ite_right Set.ite_right @[simp] theorem ite_empty (s s' : Set α) : Set.ite ∅ s s' = s' := by simp [Set.ite] #align set.ite_empty Set.ite_empty @[simp] theorem ite_univ (s s' : Set α) : Set.ite univ s s' = s := by simp [Set.ite] #align set.ite_univ Set.ite_univ @[simp] theorem ite_empty_left (t s : Set α) : t.ite ∅ s = s \ t := by simp [Set.ite] #align set.ite_empty_left Set.ite_empty_left @[simp] theorem ite_empty_right (t s : Set α) : t.ite s ∅ = s ∩ t := by simp [Set.ite] #align set.ite_empty_right Set.ite_empty_right theorem ite_mono (t : Set α) {s₁ s₁' s₂ s₂' : Set α} (h : s₁ ⊆ s₂) (h' : s₁' ⊆ s₂') : t.ite s₁ s₁' ⊆ t.ite s₂ s₂' := union_subset_union (inter_subset_inter_left _ h) (inter_subset_inter_left _ h') #align set.ite_mono Set.ite_mono theorem ite_subset_union (t s s' : Set α) : t.ite s s' ⊆ s ∪ s' := union_subset_union inter_subset_left diff_subset #align set.ite_subset_union Set.ite_subset_union theorem inter_subset_ite (t s s' : Set α) : s ∩ s' ⊆ t.ite s s' := ite_same t (s ∩ s') ▸ ite_mono _ inter_subset_left inter_subset_right #align set.inter_subset_ite Set.inter_subset_ite theorem ite_inter_inter (t s₁ s₂ s₁' s₂' : Set α) : t.ite (s₁ ∩ s₂) (s₁' ∩ s₂') = t.ite s₁ s₁' ∩ t.ite s₂ s₂' := by ext x simp only [Set.ite, Set.mem_inter_iff, Set.mem_diff, Set.mem_union] tauto #align set.ite_inter_inter Set.ite_inter_inter theorem ite_inter (t s₁ s₂ s : Set α) : t.ite (s₁ ∩ s) (s₂ ∩ s) = t.ite s₁ s₂ ∩ s := by rw [ite_inter_inter, ite_same] #align set.ite_inter Set.ite_inter theorem ite_inter_of_inter_eq (t : Set α) {s₁ s₂ s : Set α} (h : s₁ ∩ s = s₂ ∩ s) : t.ite s₁ s₂ ∩ s = s₁ ∩ s := by rw [← ite_inter, ← h, ite_same] #align set.ite_inter_of_inter_eq Set.ite_inter_of_inter_eq
Mathlib/Data/Set/Basic.lean
2,342
2,345
theorem subset_ite {t s s' u : Set α} : u ⊆ t.ite s s' ↔ u ∩ t ⊆ s ∧ u \ t ⊆ s' := by
simp only [subset_def, ← forall_and] refine forall_congr' fun x => ?_ by_cases hx : x ∈ t <;> simp [*, Set.ite]
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section Lp variable [MeasurableSpace β] [MeasurableSpace E] [NormedAddCommGroup E] [NormedAddCommGroup F] {q : ℝ} {p : ℝ≥0∞} theorem nnnorm_approxOn_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - f x‖₊ ≤ ‖f x - y₀‖₊ := by have := edist_approxOn_le hf h₀ x n rw [edist_comm y₀] at this simp only [edist_nndist, nndist_eq_nnnorm] at this exact mod_cast this #align measure_theory.simple_func.nnnorm_approx_on_le MeasureTheory.SimpleFunc.nnnorm_approxOn_le theorem norm_approxOn_y₀_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - y₀‖ ≤ ‖f x - y₀‖ + ‖f x - y₀‖ := by have := edist_approxOn_y0_le hf h₀ x n repeat rw [edist_comm y₀, edist_eq_coe_nnnorm_sub] at this exact mod_cast this #align measure_theory.simple_func.norm_approx_on_y₀_le MeasureTheory.SimpleFunc.norm_approxOn_y₀_le theorem norm_approxOn_zero_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} (h₀ : (0 : E) ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s 0 h₀ n x‖ ≤ ‖f x‖ + ‖f x‖ := by have := edist_approxOn_y0_le hf h₀ x n simp [edist_comm (0 : E), edist_eq_coe_nnnorm] at this exact mod_cast this #align measure_theory.simple_func.norm_approx_on_zero_le MeasureTheory.SimpleFunc.norm_approxOn_zero_le theorem tendsto_approxOn_Lp_snorm [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (hp_ne_top : p ≠ ∞) {μ : Measure β} (hμ : ∀ᵐ x ∂μ, f x ∈ closure s) (hi : snorm (fun x => f x - y₀) p μ < ∞) : Tendsto (fun n => snorm (⇑(approxOn f hf s y₀ h₀ n) - f) p μ) atTop (𝓝 0) := by by_cases hp_zero : p = 0 · simpa only [hp_zero, snorm_exponent_zero] using tendsto_const_nhds have hp : 0 < p.toReal := toReal_pos hp_zero hp_ne_top suffices Tendsto (fun n => ∫⁻ x, (‖approxOn f hf s y₀ h₀ n x - f x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) atTop (𝓝 0) by simp only [snorm_eq_lintegral_rpow_nnnorm hp_zero hp_ne_top] convert continuous_rpow_const.continuousAt.tendsto.comp this simp [zero_rpow_of_pos (_root_.inv_pos.mpr hp)] -- We simply check the conditions of the Dominated Convergence Theorem: -- (1) The function "`p`-th power of distance between `f` and the approximation" is measurable have hF_meas : ∀ n, Measurable fun x => (‖approxOn f hf s y₀ h₀ n x - f x‖₊ : ℝ≥0∞) ^ p.toReal := by simpa only [← edist_eq_coe_nnnorm_sub] using fun n => (approxOn f hf s y₀ h₀ n).measurable_bind (fun y x => edist y (f x) ^ p.toReal) fun y => (measurable_edist_right.comp hf).pow_const p.toReal -- (2) The functions "`p`-th power of distance between `f` and the approximation" are uniformly -- bounded, at any given point, by `fun x => ‖f x - y₀‖ ^ p.toReal` have h_bound : ∀ n, (fun x => (‖approxOn f hf s y₀ h₀ n x - f x‖₊ : ℝ≥0∞) ^ p.toReal) ≤ᵐ[μ] fun x => (‖f x - y₀‖₊ : ℝ≥0∞) ^ p.toReal := fun n => eventually_of_forall fun x => rpow_le_rpow (coe_mono (nnnorm_approxOn_le hf h₀ x n)) toReal_nonneg -- (3) The bounding function `fun x => ‖f x - y₀‖ ^ p.toReal` has finite integral have h_fin : (∫⁻ a : β, (‖f a - y₀‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ≠ ⊤ := (lintegral_rpow_nnnorm_lt_top_of_snorm_lt_top hp_zero hp_ne_top hi).ne -- (4) The functions "`p`-th power of distance between `f` and the approximation" tend pointwise -- to zero have h_lim : ∀ᵐ a : β ∂μ, Tendsto (fun n => (‖approxOn f hf s y₀ h₀ n a - f a‖₊ : ℝ≥0∞) ^ p.toReal) atTop (𝓝 0) := by filter_upwards [hμ] with a ha have : Tendsto (fun n => (approxOn f hf s y₀ h₀ n) a - f a) atTop (𝓝 (f a - f a)) := (tendsto_approxOn hf h₀ ha).sub tendsto_const_nhds convert continuous_rpow_const.continuousAt.tendsto.comp (tendsto_coe.mpr this.nnnorm) simp [zero_rpow_of_pos hp] -- Then we apply the Dominated Convergence Theorem simpa using tendsto_lintegral_of_dominated_convergence _ hF_meas h_bound h_fin h_lim #align measure_theory.simple_func.tendsto_approx_on_Lp_snorm MeasureTheory.SimpleFunc.tendsto_approxOn_Lp_snorm
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
138
165
theorem memℒp_approxOn [BorelSpace E] {f : β → E} {μ : Measure β} (fmeas : Measurable f) (hf : Memℒp f p μ) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (hi₀ : Memℒp (fun _ => y₀) p μ) (n : ℕ) : Memℒp (approxOn f fmeas s y₀ h₀ n) p μ := by
refine ⟨(approxOn f fmeas s y₀ h₀ n).aestronglyMeasurable, ?_⟩ suffices snorm (fun x => approxOn f fmeas s y₀ h₀ n x - y₀) p μ < ⊤ by have : Memℒp (fun x => approxOn f fmeas s y₀ h₀ n x - y₀) p μ := ⟨(approxOn f fmeas s y₀ h₀ n - const β y₀).aestronglyMeasurable, this⟩ convert snorm_add_lt_top this hi₀ ext x simp have hf' : Memℒp (fun x => ‖f x - y₀‖) p μ := by have h_meas : Measurable fun x => ‖f x - y₀‖ := by simp only [← dist_eq_norm] exact (continuous_id.dist continuous_const).measurable.comp fmeas refine ⟨h_meas.aemeasurable.aestronglyMeasurable, ?_⟩ rw [snorm_norm] convert snorm_add_lt_top hf hi₀.neg with x simp [sub_eq_add_neg] have : ∀ᵐ x ∂μ, ‖approxOn f fmeas s y₀ h₀ n x - y₀‖ ≤ ‖‖f x - y₀‖ + ‖f x - y₀‖‖ := by filter_upwards with x convert norm_approxOn_y₀_le fmeas h₀ x n using 1 rw [Real.norm_eq_abs, abs_of_nonneg] positivity calc snorm (fun x => approxOn f fmeas s y₀ h₀ n x - y₀) p μ ≤ snorm (fun x => ‖f x - y₀‖ + ‖f x - y₀‖) p μ := snorm_mono_ae this _ < ⊤ := snorm_add_lt_top hf' hf'
import Mathlib.FieldTheory.SplittingField.Construction import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.Localization.Integral import Mathlib.RingTheory.IntegrallyClosed #align_import ring_theory.polynomial.gauss_lemma from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" open scoped nonZeroDivisors Polynomial variable {R : Type*} [CommRing R] section IsIntegrallyClosed open Polynomial open integralClosure open IsIntegrallyClosed variable (K : Type*) [Field K] [Algebra R K]
Mathlib/RingTheory/Polynomial/GaussLemma.lean
54
70
theorem integralClosure.mem_lifts_of_monic_of_dvd_map {f : R[X]} (hf : f.Monic) {g : K[X]} (hg : g.Monic) (hd : g ∣ f.map (algebraMap R K)) : g ∈ lifts (algebraMap (integralClosure R K) K) := by
have := mem_lift_of_splits_of_roots_mem_range (integralClosure R g.SplittingField) ((splits_id_iff_splits _).2 <| SplittingField.splits g) (hg.map _) fun a ha => (SetLike.ext_iff.mp (integralClosure R g.SplittingField).range_algebraMap _).mpr <| roots_mem_integralClosure hf ?_ · rw [lifts_iff_coeff_lifts, ← RingHom.coe_range, Subalgebra.range_algebraMap] at this refine (lifts_iff_coeff_lifts _).2 fun n => ?_ rw [← RingHom.coe_range, Subalgebra.range_algebraMap] obtain ⟨p, hp, he⟩ := SetLike.mem_coe.mp (this n); use p, hp rw [IsScalarTower.algebraMap_eq R K, coeff_map, ← eval₂_map, eval₂_at_apply] at he rw [eval₂_eq_eval_map]; apply (injective_iff_map_eq_zero _).1 _ _ he apply RingHom.injective rw [aroots_def, IsScalarTower.algebraMap_eq R K _, ← map_map] refine Multiset.mem_of_le (roots.le_of_dvd ((hf.map _).map _).ne_zero ?_) ha exact map_dvd (algebraMap K g.SplittingField) hd
import Mathlib.Data.Int.Bitwise import Mathlib.Data.Int.Order.Lemmas import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.int.lemmas from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f" open Nat namespace Int theorem le_natCast_sub (m n : ℕ) : (m - n : ℤ) ≤ ↑(m - n : ℕ) := by by_cases h : m ≥ n · exact le_of_eq (Int.ofNat_sub h).symm · simp [le_of_not_ge h, ofNat_le] #align int.le_coe_nat_sub Int.le_natCast_sub -- Porting note (#10618): simp can prove this @[simp] theorem succ_natCast_pos (n : ℕ) : 0 < (n : ℤ) + 1 := lt_add_one_iff.mpr (by simp) #align int.succ_coe_nat_pos Int.succ_natCast_pos variable {a b : ℤ} {n : ℕ} theorem natAbs_eq_iff_sq_eq {a b : ℤ} : a.natAbs = b.natAbs ↔ a ^ 2 = b ^ 2 := by rw [sq, sq] exact natAbs_eq_iff_mul_self_eq #align int.nat_abs_eq_iff_sq_eq Int.natAbs_eq_iff_sq_eq theorem natAbs_lt_iff_sq_lt {a b : ℤ} : a.natAbs < b.natAbs ↔ a ^ 2 < b ^ 2 := by rw [sq, sq] exact natAbs_lt_iff_mul_self_lt #align int.nat_abs_lt_iff_sq_lt Int.natAbs_lt_iff_sq_lt theorem natAbs_le_iff_sq_le {a b : ℤ} : a.natAbs ≤ b.natAbs ↔ a ^ 2 ≤ b ^ 2 := by rw [sq, sq] exact natAbs_le_iff_mul_self_le #align int.nat_abs_le_iff_sq_le Int.natAbs_le_iff_sq_le theorem natAbs_inj_of_nonneg_of_nonneg {a b : ℤ} (ha : 0 ≤ a) (hb : 0 ≤ b) : natAbs a = natAbs b ↔ a = b := by rw [← sq_eq_sq ha hb, ← natAbs_eq_iff_sq_eq] #align int.nat_abs_inj_of_nonneg_of_nonneg Int.natAbs_inj_of_nonneg_of_nonneg theorem natAbs_inj_of_nonpos_of_nonpos {a b : ℤ} (ha : a ≤ 0) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = b := by simpa only [Int.natAbs_neg, neg_inj] using natAbs_inj_of_nonneg_of_nonneg (neg_nonneg_of_nonpos ha) (neg_nonneg_of_nonpos hb) #align int.nat_abs_inj_of_nonpos_of_nonpos Int.natAbs_inj_of_nonpos_of_nonpos
Mathlib/Data/Int/Lemmas.lean
70
72
theorem natAbs_inj_of_nonneg_of_nonpos {a b : ℤ} (ha : 0 ≤ a) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = -b := by
simpa only [Int.natAbs_neg] using natAbs_inj_of_nonneg_of_nonneg ha (neg_nonneg_of_nonpos hb)
import Mathlib.Analysis.NormedSpace.Basic import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Data.Real.Sqrt import Mathlib.RingTheory.Ideal.QuotientOperations import Mathlib.Topology.MetricSpace.HausdorffDistance #align_import analysis.normed.group.quotient from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" noncomputable section open QuotientAddGroup Metric Set Topology NNReal variable {M N : Type*} [SeminormedAddCommGroup M] [SeminormedAddCommGroup N] noncomputable instance normOnQuotient (S : AddSubgroup M) : Norm (M ⧸ S) where norm x := sInf (norm '' { m | mk' S m = x }) #align norm_on_quotient normOnQuotient theorem AddSubgroup.quotient_norm_eq {S : AddSubgroup M} (x : M ⧸ S) : ‖x‖ = sInf (norm '' { m : M | (m : M ⧸ S) = x }) := rfl #align add_subgroup.quotient_norm_eq AddSubgroup.quotient_norm_eq theorem QuotientAddGroup.norm_eq_infDist {S : AddSubgroup M} (x : M ⧸ S) : ‖x‖ = infDist 0 { m : M | (m : M ⧸ S) = x } := by simp only [AddSubgroup.quotient_norm_eq, infDist_eq_iInf, sInf_image', dist_zero_left] theorem QuotientAddGroup.norm_mk {S : AddSubgroup M} (x : M) : ‖(x : M ⧸ S)‖ = infDist x S := by rw [norm_eq_infDist, ← infDist_image (IsometryEquiv.subLeft x).isometry, IsometryEquiv.subLeft_apply, sub_zero, ← IsometryEquiv.preimage_symm] congr 1 with y simp only [mem_preimage, IsometryEquiv.subLeft_symm_apply, mem_setOf_eq, QuotientAddGroup.eq, neg_add, neg_neg, neg_add_cancel_right, SetLike.mem_coe] theorem image_norm_nonempty {S : AddSubgroup M} (x : M ⧸ S) : (norm '' { m | mk' S m = x }).Nonempty := .image _ <| Quot.exists_rep x #align image_norm_nonempty image_norm_nonempty theorem bddBelow_image_norm (s : Set M) : BddBelow (norm '' s) := ⟨0, forall_mem_image.2 fun _ _ ↦ norm_nonneg _⟩ #align bdd_below_image_norm bddBelow_image_norm theorem isGLB_quotient_norm {S : AddSubgroup M} (x : M ⧸ S) : IsGLB (norm '' { m | mk' S m = x }) (‖x‖) := isGLB_csInf (image_norm_nonempty x) (bddBelow_image_norm _) theorem quotient_norm_neg {S : AddSubgroup M} (x : M ⧸ S) : ‖-x‖ = ‖x‖ := by simp only [AddSubgroup.quotient_norm_eq] congr 1 with r constructor <;> { rintro ⟨m, hm, rfl⟩; use -m; simpa [neg_eq_iff_eq_neg] using hm } #align quotient_norm_neg quotient_norm_neg theorem quotient_norm_sub_rev {S : AddSubgroup M} (x y : M ⧸ S) : ‖x - y‖ = ‖y - x‖ := by rw [← neg_sub, quotient_norm_neg] #align quotient_norm_sub_rev quotient_norm_sub_rev theorem quotient_norm_mk_le (S : AddSubgroup M) (m : M) : ‖mk' S m‖ ≤ ‖m‖ := csInf_le (bddBelow_image_norm _) <| Set.mem_image_of_mem _ rfl #align quotient_norm_mk_le quotient_norm_mk_le theorem quotient_norm_mk_le' (S : AddSubgroup M) (m : M) : ‖(m : M ⧸ S)‖ ≤ ‖m‖ := quotient_norm_mk_le S m #align quotient_norm_mk_le' quotient_norm_mk_le' theorem quotient_norm_mk_eq (S : AddSubgroup M) (m : M) : ‖mk' S m‖ = sInf ((‖m + ·‖) '' S) := by rw [mk'_apply, norm_mk, sInf_image', ← infDist_image isometry_neg, image_neg, neg_coe_set (H := S), infDist_eq_iInf] simp only [dist_eq_norm', sub_neg_eq_add, add_comm] #align quotient_norm_mk_eq quotient_norm_mk_eq theorem quotient_norm_nonneg (S : AddSubgroup M) (x : M ⧸ S) : 0 ≤ ‖x‖ := Real.sInf_nonneg _ <| forall_mem_image.2 fun _ _ ↦ norm_nonneg _ #align quotient_norm_nonneg quotient_norm_nonneg theorem norm_mk_nonneg (S : AddSubgroup M) (m : M) : 0 ≤ ‖mk' S m‖ := quotient_norm_nonneg S _ #align norm_mk_nonneg norm_mk_nonneg
Mathlib/Analysis/Normed/Group/Quotient.lean
181
184
theorem quotient_norm_eq_zero_iff (S : AddSubgroup M) (m : M) : ‖mk' S m‖ = 0 ↔ m ∈ closure (S : Set M) := by
rw [mk'_apply, norm_mk, ← mem_closure_iff_infDist_zero] exact ⟨0, S.zero_mem⟩
import Mathlib.Data.Nat.Prime import Mathlib.Tactic.NormNum.Basic #align_import data.nat.prime_norm_num from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" open Nat Qq Lean Meta namespace Mathlib.Meta.NormNum theorem not_prime_mul_of_ble (a b n : ℕ) (h : a * b = n) (h₁ : a.ble 1 = false) (h₂ : b.ble 1 = false) : ¬ n.Prime := not_prime_mul' h (ble_eq_false.mp h₁).ne' (ble_eq_false.mp h₂).ne' def deriveNotPrime (n d : ℕ) (en : Q(ℕ)) : Q(¬ Nat.Prime $en) := Id.run <| do let d' : ℕ := n / d let prf : Q($d * $d' = $en) := (q(Eq.refl $en) : Expr) let r : Q(Nat.ble $d 1 = false) := (q(Eq.refl false) : Expr) let r' : Q(Nat.ble $d' 1 = false) := (q(Eq.refl false) : Expr) return q(not_prime_mul_of_ble _ _ _ $prf $r $r') def MinFacHelper (n k : ℕ) : Prop := 2 < k ∧ k % 2 = 1 ∧ k ≤ minFac n theorem MinFacHelper.one_lt {n k : ℕ} (h : MinFacHelper n k) : 1 < n := by have : 2 < minFac n := h.1.trans_le h.2.2 obtain rfl | h := n.eq_zero_or_pos · contradiction rcases (succ_le_of_lt h).eq_or_lt with rfl|h · simp_all exact h theorem minFacHelper_0 (n : ℕ) (h1 : Nat.ble (nat_lit 2) n = true) (h2 : nat_lit 1 = n % (nat_lit 2)) : MinFacHelper n (nat_lit 3) := by refine ⟨by norm_num, by norm_num, ?_⟩ refine (le_minFac'.mpr λ p hp hpn ↦ ?_).resolve_left (Nat.ne_of_gt (Nat.le_of_ble_eq_true h1)) rcases hp.eq_or_lt with rfl|h · simp [(Nat.dvd_iff_mod_eq_zero ..).1 hpn] at h2 · exact h theorem minFacHelper_1 {n k k' : ℕ} (e : k + 2 = k') (h : MinFacHelper n k) (np : minFac n ≠ k) : MinFacHelper n k' := by rw [← e] refine ⟨Nat.lt_add_right _ h.1, ?_, ?_⟩ · rw [add_mod, mod_self, add_zero, mod_mod] exact h.2.1 rcases h.2.2.eq_or_lt with rfl|h2 · exact (np rfl).elim rcases (succ_le_of_lt h2).eq_or_lt with h2|h2 · refine ((h.1.trans_le h.2.2).ne ?_).elim have h3 : 2 ∣ minFac n := by rw [Nat.dvd_iff_mod_eq_zero, ← h2, succ_eq_add_one, add_mod, h.2.1] rw [dvd_prime <| minFac_prime h.one_lt.ne'] at h3 norm_num at h3 exact h3 exact h2
Mathlib/Tactic/NormNum/Prime.lean
84
88
theorem minFacHelper_2 {n k k' : ℕ} (e : k + 2 = k') (nk : ¬ Nat.Prime k) (h : MinFacHelper n k) : MinFacHelper n k' := by
refine minFacHelper_1 e h λ h2 ↦ ?_ rw [← h2] at nk exact nk <| minFac_prime h.one_lt.ne'
import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Finset.Sort import Mathlib.Data.Set.Subsingleton #align_import combinatorics.composition from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" open List variable {n : ℕ} @[ext] structure Composition (n : ℕ) where blocks : List ℕ blocks_pos : ∀ {i}, i ∈ blocks → 0 < i blocks_sum : blocks.sum = n #align composition Composition @[ext] structure CompositionAsSet (n : ℕ) where boundaries : Finset (Fin n.succ) zero_mem : (0 : Fin n.succ) ∈ boundaries getLast_mem : Fin.last n ∈ boundaries #align composition_as_set CompositionAsSet instance {n : ℕ} : Inhabited (CompositionAsSet n) := ⟨⟨Finset.univ, Finset.mem_univ _, Finset.mem_univ _⟩⟩ namespace Composition variable (c : Composition n) instance (n : ℕ) : ToString (Composition n) := ⟨fun c => toString c.blocks⟩ abbrev length : ℕ := c.blocks.length #align composition.length Composition.length theorem blocks_length : c.blocks.length = c.length := rfl #align composition.blocks_length Composition.blocks_length def blocksFun : Fin c.length → ℕ := c.blocks.get #align composition.blocks_fun Composition.blocksFun theorem ofFn_blocksFun : ofFn c.blocksFun = c.blocks := ofFn_get _ #align composition.of_fn_blocks_fun Composition.ofFn_blocksFun theorem sum_blocksFun : ∑ i, c.blocksFun i = n := by conv_rhs => rw [← c.blocks_sum, ← ofFn_blocksFun, sum_ofFn] #align composition.sum_blocks_fun Composition.sum_blocksFun theorem blocksFun_mem_blocks (i : Fin c.length) : c.blocksFun i ∈ c.blocks := get_mem _ _ _ #align composition.blocks_fun_mem_blocks Composition.blocksFun_mem_blocks @[simp] theorem one_le_blocks {i : ℕ} (h : i ∈ c.blocks) : 1 ≤ i := c.blocks_pos h #align composition.one_le_blocks Composition.one_le_blocks @[simp] theorem one_le_blocks' {i : ℕ} (h : i < c.length) : 1 ≤ c.blocks.get ⟨i, h⟩ := c.one_le_blocks (get_mem (blocks c) i h) #align composition.one_le_blocks' Composition.one_le_blocks' @[simp] theorem blocks_pos' (i : ℕ) (h : i < c.length) : 0 < c.blocks.get ⟨i, h⟩ := c.one_le_blocks' h #align composition.blocks_pos' Composition.blocks_pos' theorem one_le_blocksFun (i : Fin c.length) : 1 ≤ c.blocksFun i := c.one_le_blocks (c.blocksFun_mem_blocks i) #align composition.one_le_blocks_fun Composition.one_le_blocksFun theorem length_le : c.length ≤ n := by conv_rhs => rw [← c.blocks_sum] exact length_le_sum_of_one_le _ fun i hi => c.one_le_blocks hi #align composition.length_le Composition.length_le theorem length_pos_of_pos (h : 0 < n) : 0 < c.length := by apply length_pos_of_sum_pos convert h exact c.blocks_sum #align composition.length_pos_of_pos Composition.length_pos_of_pos def sizeUpTo (i : ℕ) : ℕ := (c.blocks.take i).sum #align composition.size_up_to Composition.sizeUpTo @[simp] theorem sizeUpTo_zero : c.sizeUpTo 0 = 0 := by simp [sizeUpTo] #align composition.size_up_to_zero Composition.sizeUpTo_zero
Mathlib/Combinatorics/Enumerative/Composition.lean
207
210
theorem sizeUpTo_ofLength_le (i : ℕ) (h : c.length ≤ i) : c.sizeUpTo i = n := by
dsimp [sizeUpTo] convert c.blocks_sum exact take_all_of_le h
import Mathlib.Data.PNat.Basic #align_import data.pnat.find from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" namespace PNat variable {p q : ℕ+ → Prop} [DecidablePred p] [DecidablePred q] (h : ∃ n, p n) instance decidablePredExistsNat : DecidablePred fun n' : ℕ => ∃ (n : ℕ+) (_ : n' = n), p n := fun n' => decidable_of_iff' (∃ h : 0 < n', p ⟨n', h⟩) <| Subtype.exists.trans <| by simp_rw [mk_coe, @exists_comm (_ < _) (_ = _), exists_prop, exists_eq_left'] #align pnat.decidable_pred_exists_nat PNat.decidablePredExistsNat protected def findX : { n // p n ∧ ∀ m : ℕ+, m < n → ¬p m } := by have : ∃ (n' : ℕ) (n : ℕ+) (_ : n' = n), p n := Exists.elim h fun n hn => ⟨n, n, rfl, hn⟩ have n := Nat.findX this refine ⟨⟨n, ?_⟩, ?_, fun m hm pm => ?_⟩ · obtain ⟨n', hn', -⟩ := n.prop.1 rw [hn'] exact n'.prop · obtain ⟨n', hn', pn'⟩ := n.prop.1 simpa [hn', Subtype.coe_eta] using pn' · exact n.prop.2 m hm ⟨m, rfl, pm⟩ #align pnat.find_x PNat.findX protected def find : ℕ+ := PNat.findX h #align pnat.find PNat.find protected theorem find_spec : p (PNat.find h) := (PNat.findX h).prop.left #align pnat.find_spec PNat.find_spec protected theorem find_min : ∀ {m : ℕ+}, m < PNat.find h → ¬p m := @(PNat.findX h).prop.right #align pnat.find_min PNat.find_min protected theorem find_min' {m : ℕ+} (hm : p m) : PNat.find h ≤ m := le_of_not_lt fun l => PNat.find_min h l hm #align pnat.find_min' PNat.find_min' variable {n m : ℕ+} theorem find_eq_iff : PNat.find h = m ↔ p m ∧ ∀ n < m, ¬p n := by constructor · rintro rfl exact ⟨PNat.find_spec h, fun _ => PNat.find_min h⟩ · rintro ⟨hm, hlt⟩ exact le_antisymm (PNat.find_min' h hm) (not_lt.1 <| imp_not_comm.1 (hlt _) <| PNat.find_spec h) #align pnat.find_eq_iff PNat.find_eq_iff @[simp] theorem find_lt_iff (n : ℕ+) : PNat.find h < n ↔ ∃ m < n, p m := ⟨fun h2 => ⟨PNat.find h, h2, PNat.find_spec h⟩, fun ⟨_, hmn, hm⟩ => (PNat.find_min' h hm).trans_lt hmn⟩ #align pnat.find_lt_iff PNat.find_lt_iff @[simp] theorem find_le_iff (n : ℕ+) : PNat.find h ≤ n ↔ ∃ m ≤ n, p m := by simp only [exists_prop, ← lt_add_one_iff, find_lt_iff] #align pnat.find_le_iff PNat.find_le_iff @[simp] theorem le_find_iff (n : ℕ+) : n ≤ PNat.find h ↔ ∀ m < n, ¬p m := by simp only [← not_lt, find_lt_iff, not_exists, not_and] #align pnat.le_find_iff PNat.le_find_iff @[simp]
Mathlib/Data/PNat/Find.lean
96
97
theorem lt_find_iff (n : ℕ+) : n < PNat.find h ↔ ∀ m ≤ n, ¬p m := by
simp only [← add_one_le_iff, le_find_iff, add_le_add_iff_right]
import Mathlib.FieldTheory.Finite.Polynomial import Mathlib.NumberTheory.Basic import Mathlib.RingTheory.WittVector.WittPolynomial #align_import ring_theory.witt_vector.structure_polynomial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" open MvPolynomial Set open Finset (range) open Finsupp (single) -- This lemma reduces a bundled morphism to a "mere" function, -- and consequently the simplifier cannot use a lot of powerful simp-lemmas. -- We disable this locally, and probably it should be disabled globally in mathlib. attribute [-simp] coe_eval₂Hom variable {p : ℕ} {R : Type*} {idx : Type*} [CommRing R] open scoped Witt section PPrime variable (p) [hp : Fact p.Prime] -- Notation with ring of coefficients explicit set_option quotPrecheck false in @[inherit_doc] scoped[Witt] notation "W_" => wittPolynomial p -- Notation with ring of coefficients implicit set_option quotPrecheck false in @[inherit_doc] scoped[Witt] notation "W" => wittPolynomial p _ noncomputable def wittStructureRat (Φ : MvPolynomial idx ℚ) (n : ℕ) : MvPolynomial (idx × ℕ) ℚ := bind₁ (fun k => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) (xInTermsOfW p ℚ n) #align witt_structure_rat wittStructureRat theorem wittStructureRat_prop (Φ : MvPolynomial idx ℚ) (n : ℕ) : bind₁ (wittStructureRat p Φ) (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := calc bind₁ (wittStructureRat p Φ) (W_ ℚ n) = bind₁ (fun k => bind₁ (fun i => (rename (Prod.mk i)) (W_ ℚ k)) Φ) (bind₁ (xInTermsOfW p ℚ) (W_ ℚ n)) := by rw [bind₁_bind₁]; exact eval₂Hom_congr (RingHom.ext_rat _ _) rfl rfl _ = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by rw [bind₁_xInTermsOfW_wittPolynomial p _ n, bind₁_X_right] #align witt_structure_rat_prop wittStructureRat_prop theorem wittStructureRat_existsUnique (Φ : MvPolynomial idx ℚ) : ∃! φ : ℕ → MvPolynomial (idx × ℕ) ℚ, ∀ n : ℕ, bind₁ φ (W_ ℚ n) = bind₁ (fun i => rename (Prod.mk i) (W_ ℚ n)) Φ := by refine ⟨wittStructureRat p Φ, ?_, ?_⟩ · intro n; apply wittStructureRat_prop · intro φ H funext n rw [show φ n = bind₁ φ (bind₁ (W_ ℚ) (xInTermsOfW p ℚ n)) by rw [bind₁_wittPolynomial_xInTermsOfW p, bind₁_X_right]] rw [bind₁_bind₁] exact eval₂Hom_congr (RingHom.ext_rat _ _) (funext H) rfl #align witt_structure_rat_exists_unique wittStructureRat_existsUnique theorem wittStructureRat_rec_aux (Φ : MvPolynomial idx ℚ) (n : ℕ) : wittStructureRat p Φ n * C ((p : ℚ) ^ n) = bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ - ∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i) := by have := xInTermsOfW_aux p ℚ n replace := congr_arg (bind₁ fun k : ℕ => bind₁ (fun i => rename (Prod.mk i) (W_ ℚ k)) Φ) this rw [AlgHom.map_mul, bind₁_C_right] at this rw [wittStructureRat, this]; clear this conv_lhs => simp only [AlgHom.map_sub, bind₁_X_right] rw [sub_right_inj] simp only [AlgHom.map_sum, AlgHom.map_mul, bind₁_C_right, AlgHom.map_pow] rfl #align witt_structure_rat_rec_aux wittStructureRat_rec_aux theorem wittStructureRat_rec (Φ : MvPolynomial idx ℚ) (n : ℕ) : wittStructureRat p Φ n = C (1 / (p : ℚ) ^ n) * (bind₁ (fun b => rename (fun i => (b, i)) (W_ ℚ n)) Φ - ∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p Φ i ^ p ^ (n - i)) := by calc wittStructureRat p Φ n = C (1 / (p : ℚ) ^ n) * (wittStructureRat p Φ n * C ((p : ℚ) ^ n)) := ?_ _ = _ := by rw [wittStructureRat_rec_aux] rw [mul_left_comm, ← C_mul, div_mul_cancel₀, C_1, mul_one] exact pow_ne_zero _ (Nat.cast_ne_zero.2 hp.1.ne_zero) #align witt_structure_rat_rec wittStructureRat_rec noncomputable def wittStructureInt (Φ : MvPolynomial idx ℤ) (n : ℕ) : MvPolynomial (idx × ℕ) ℤ := Finsupp.mapRange Rat.num (Rat.num_intCast 0) (wittStructureRat p (map (Int.castRingHom ℚ) Φ) n) #align witt_structure_int wittStructureInt variable {p} theorem bind₁_rename_expand_wittPolynomial (Φ : MvPolynomial idx ℤ) (n : ℕ) (IH : ∀ m : ℕ, m < n + 1 → map (Int.castRingHom ℚ) (wittStructureInt p Φ m) = wittStructureRat p (map (Int.castRingHom ℚ) Φ) m) : bind₁ (fun b => rename (fun i => (b, i)) (expand p (W_ ℤ n))) Φ = bind₁ (fun i => expand p (wittStructureInt p Φ i)) (W_ ℤ n) := by apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective simp only [map_bind₁, map_rename, map_expand, rename_expand, map_wittPolynomial] have key := (wittStructureRat_prop p (map (Int.castRingHom ℚ) Φ) n).symm apply_fun expand p at key simp only [expand_bind₁] at key rw [key]; clear key apply eval₂Hom_congr' rfl _ rfl rintro i hi - rw [wittPolynomial_vars, Finset.mem_range] at hi simp only [IH i hi] #align bind₁_rename_expand_witt_polynomial bind₁_rename_expand_wittPolynomial theorem C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum (Φ : MvPolynomial idx ℤ) (n : ℕ) (IH : ∀ m : ℕ, m < n → map (Int.castRingHom ℚ) (wittStructureInt p Φ m) = wittStructureRat p (map (Int.castRingHom ℚ) Φ) m) : (C ((p ^ n :) : ℤ) : MvPolynomial (idx × ℕ) ℤ) ∣ bind₁ (fun b : idx => rename (fun i => (b, i)) (wittPolynomial p ℤ n)) Φ - ∑ i ∈ range n, C ((p : ℤ) ^ i) * wittStructureInt p Φ i ^ p ^ (n - i) := by cases' n with n · simp only [isUnit_one, Int.ofNat_zero, Int.ofNat_succ, zero_add, pow_zero, C_1, IsUnit.dvd, Nat.cast_one, Nat.zero_eq] -- prepare a useful equation for rewriting have key := bind₁_rename_expand_wittPolynomial Φ n IH apply_fun map (Int.castRingHom (ZMod (p ^ (n + 1)))) at key conv_lhs at key => simp only [map_bind₁, map_rename, map_expand, map_wittPolynomial] -- clean up and massage rw [C_dvd_iff_zmod, RingHom.map_sub, sub_eq_zero, map_bind₁] simp only [map_rename, map_wittPolynomial, wittPolynomial_zmod_self] rw [key]; clear key IH rw [bind₁, aeval_wittPolynomial, map_sum, map_sum, Finset.sum_congr rfl] intro k hk rw [Finset.mem_range, Nat.lt_succ_iff] at hk -- Porting note (#11083): was much slower -- simp only [← sub_eq_zero, ← RingHom.map_sub, ← C_dvd_iff_zmod, C_eq_coe_nat, ← mul_sub, ← -- Nat.cast_pow] rw [← sub_eq_zero, ← RingHom.map_sub, ← C_dvd_iff_zmod, C_eq_coe_nat, ← Nat.cast_pow, ← Nat.cast_pow, C_eq_coe_nat, ← mul_sub] have : p ^ (n + 1) = p ^ k * p ^ (n - k + 1) := by rw [← pow_add, ← add_assoc]; congr 2; rw [add_comm, ← tsub_eq_iff_eq_add_of_le hk] rw [this] rw [Nat.cast_mul, Nat.cast_pow, Nat.cast_pow] apply mul_dvd_mul_left ((p : MvPolynomial (idx × ℕ) ℤ) ^ k) rw [show p ^ (n + 1 - k) = p * p ^ (n - k) by rw [← pow_succ', ← tsub_add_eq_add_tsub hk]] rw [pow_mul] -- the machine! apply dvd_sub_pow_of_dvd_sub rw [← C_eq_coe_nat, C_dvd_iff_zmod, RingHom.map_sub, sub_eq_zero, map_expand, RingHom.map_pow, MvPolynomial.expand_zmod] set_option linter.uppercaseLean3 false in #align C_p_pow_dvd_bind₁_rename_witt_polynomial_sub_sum C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum variable (p) @[simp]
Mathlib/RingTheory/WittVector/StructurePolynomial.lean
274
298
theorem map_wittStructureInt (Φ : MvPolynomial idx ℤ) (n : ℕ) : map (Int.castRingHom ℚ) (wittStructureInt p Φ n) = wittStructureRat p (map (Int.castRingHom ℚ) Φ) n := by
induction n using Nat.strong_induction_on with | h n IH => ?_ rw [wittStructureInt, map_mapRange_eq_iff, Int.coe_castRingHom] intro c rw [wittStructureRat_rec, coeff_C_mul, mul_comm, mul_div_assoc', mul_one] have sum_induction_steps : map (Int.castRingHom ℚ) (∑ i ∈ range n, C ((p : ℤ) ^ i) * wittStructureInt p Φ i ^ p ^ (n - i)) = ∑ i ∈ range n, C ((p : ℚ) ^ i) * wittStructureRat p (map (Int.castRingHom ℚ) Φ) i ^ p ^ (n - i) := by rw [map_sum] apply Finset.sum_congr rfl intro i hi rw [Finset.mem_range] at hi simp only [IH i hi, RingHom.map_mul, RingHom.map_pow, map_C] rfl simp only [← sum_induction_steps, ← map_wittPolynomial p (Int.castRingHom ℚ), ← map_rename, ← map_bind₁, ← RingHom.map_sub, coeff_map] rw [show (p : ℚ) ^ n = ((↑(p ^ n) : ℤ) : ℚ) by norm_cast] rw [← Rat.den_eq_one_iff, eq_intCast, Rat.den_div_intCast_eq_one_iff] swap; · exact mod_cast pow_ne_zero n hp.1.ne_zero revert c; rw [← C_dvd_iff_dvd_coeff] exact C_p_pow_dvd_bind₁_rename_wittPolynomial_sub_sum Φ n IH
import Mathlib.Data.List.Duplicate import Mathlib.Data.List.Sort #align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" namespace List variable {α : Type*} section Sublist theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ) (hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by induction' l with hd tl IH generalizing l' f · simp have : some hd = _ := hf 0 rw [eq_comm, List.get?_eq_some] at this obtain ⟨w, h⟩ := this let f' : ℕ ↪o ℕ := OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by dsimp only rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff] rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt] exact b.succ_pos have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by intro ix rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?] rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt] exact ix.succ_pos rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append] apply List.Sublist.append _ (IH _ this) rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)] apply List.get_mem #align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
Mathlib/Data/List/NodupEquivFin.lean
144
161
theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} : l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by
constructor · intro H induction' H with xs ys y _H IH xs ys x _H IH · simp · obtain ⟨f, hf⟩ := IH refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩ simpa using hf · obtain ⟨f, hf⟩ := IH refine ⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩ · rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff] · rintro ⟨_ | i⟩ · simp · simpa using hf _ · rintro ⟨f, hf⟩ exact sublist_of_orderEmbedding_get?_eq f hf
import Mathlib.Algebra.BigOperators.Finsupp import Mathlib.Algebra.BigOperators.Finprod import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.Finsupp import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.SetTheory.Cardinal.Cofinality #align_import linear_algebra.basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395" noncomputable section universe u open Function Set Submodule variable {ι : Type*} {ι' : Type*} {R : Type*} {R₂ : Type*} {K : Type*} variable {M : Type*} {M' M'' : Type*} {V : Type u} {V' : Type*} section Module variable [Semiring R] variable [AddCommMonoid M] [Module R M] [AddCommMonoid M'] [Module R M'] section variable (ι R M) structure Basis where ofRepr :: repr : M ≃ₗ[R] ι →₀ R #align basis Basis #align basis.repr Basis.repr #align basis.of_repr Basis.ofRepr end instance uniqueBasis [Subsingleton R] : Unique (Basis ι R M) := ⟨⟨⟨default⟩⟩, fun ⟨b⟩ => by rw [Subsingleton.elim b]⟩ #align unique_basis uniqueBasis namespace Basis instance : Inhabited (Basis ι R (ι →₀ R)) := ⟨.ofRepr (LinearEquiv.refl _ _)⟩ variable (b b₁ : Basis ι R M) (i : ι) (c : R) (x : M) section repr theorem repr_injective : Injective (repr : Basis ι R M → M ≃ₗ[R] ι →₀ R) := fun f g h => by cases f; cases g; congr #align basis.repr_injective Basis.repr_injective instance instFunLike : FunLike (Basis ι R M) ι M where coe b i := b.repr.symm (Finsupp.single i 1) coe_injective' f g h := repr_injective <| LinearEquiv.symm_bijective.injective <| LinearEquiv.toLinearMap_injective <| by ext; exact congr_fun h _ #align basis.fun_like Basis.instFunLike @[simp] theorem coe_ofRepr (e : M ≃ₗ[R] ι →₀ R) : ⇑(ofRepr e) = fun i => e.symm (Finsupp.single i 1) := rfl #align basis.coe_of_repr Basis.coe_ofRepr protected theorem injective [Nontrivial R] : Injective b := b.repr.symm.injective.comp fun _ _ => (Finsupp.single_left_inj (one_ne_zero : (1 : R) ≠ 0)).mp #align basis.injective Basis.injective theorem repr_symm_single_one : b.repr.symm (Finsupp.single i 1) = b i := rfl #align basis.repr_symm_single_one Basis.repr_symm_single_one theorem repr_symm_single : b.repr.symm (Finsupp.single i c) = c • b i := calc b.repr.symm (Finsupp.single i c) = b.repr.symm (c • Finsupp.single i (1 : R)) := by { rw [Finsupp.smul_single', mul_one] } _ = c • b i := by rw [LinearEquiv.map_smul, repr_symm_single_one] #align basis.repr_symm_single Basis.repr_symm_single @[simp] theorem repr_self : b.repr (b i) = Finsupp.single i 1 := LinearEquiv.apply_symm_apply _ _ #align basis.repr_self Basis.repr_self theorem repr_self_apply (j) [Decidable (i = j)] : b.repr (b i) j = if i = j then 1 else 0 := by rw [repr_self, Finsupp.single_apply] #align basis.repr_self_apply Basis.repr_self_apply @[simp] theorem repr_symm_apply (v) : b.repr.symm v = Finsupp.total ι M R b v := calc b.repr.symm v = b.repr.symm (v.sum Finsupp.single) := by simp _ = v.sum fun i vi => b.repr.symm (Finsupp.single i vi) := map_finsupp_sum .. _ = Finsupp.total ι M R b v := by simp only [repr_symm_single, Finsupp.total_apply] #align basis.repr_symm_apply Basis.repr_symm_apply @[simp] theorem coe_repr_symm : ↑b.repr.symm = Finsupp.total ι M R b := LinearMap.ext fun v => b.repr_symm_apply v #align basis.coe_repr_symm Basis.coe_repr_symm @[simp] theorem repr_total (v) : b.repr (Finsupp.total _ _ _ b v) = v := by rw [← b.coe_repr_symm] exact b.repr.apply_symm_apply v #align basis.repr_total Basis.repr_total @[simp] theorem total_repr : Finsupp.total _ _ _ b (b.repr x) = x := by rw [← b.coe_repr_symm] exact b.repr.symm_apply_apply x #align basis.total_repr Basis.total_repr
Mathlib/LinearAlgebra/Basis.lean
178
179
theorem repr_range : LinearMap.range (b.repr : M →ₗ[R] ι →₀ R) = Finsupp.supported R R univ := by
rw [LinearEquiv.range, Finsupp.supported_univ]
import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.degree.lemmas from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f" noncomputable section open Polynomial open Finsupp Finset namespace Polynomial universe u v w variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} section Degree theorem natDegree_comp_le : natDegree (p.comp q) ≤ natDegree p * natDegree q := letI := Classical.decEq R if h0 : p.comp q = 0 then by rw [h0, natDegree_zero]; exact Nat.zero_le _ else WithBot.coe_le_coe.1 <| calc ↑(natDegree (p.comp q)) = degree (p.comp q) := (degree_eq_natDegree h0).symm _ = _ := congr_arg degree comp_eq_sum_left _ ≤ _ := degree_sum_le _ _ _ ≤ _ := Finset.sup_le fun n hn => calc degree (C (coeff p n) * q ^ n) ≤ degree (C (coeff p n)) + degree (q ^ n) := degree_mul_le _ _ _ ≤ natDegree (C (coeff p n)) + n • degree q := (add_le_add degree_le_natDegree (degree_pow_le _ _)) _ ≤ natDegree (C (coeff p n)) + n • ↑(natDegree q) := (add_le_add_left (nsmul_le_nsmul_right (@degree_le_natDegree _ _ q) n) _) _ = (n * natDegree q : ℕ) := by rw [natDegree_C, Nat.cast_zero, zero_add, nsmul_eq_mul]; simp _ ≤ (natDegree p * natDegree q : ℕ) := WithBot.coe_le_coe.2 <| mul_le_mul_of_nonneg_right (le_natDegree_of_ne_zero (mem_support_iff.1 hn)) (Nat.zero_le _) #align polynomial.nat_degree_comp_le Polynomial.natDegree_comp_le theorem degree_pos_of_root {p : R[X]} (hp : p ≠ 0) (h : IsRoot p a) : 0 < degree p := lt_of_not_ge fun hlt => by have := eq_C_of_degree_le_zero hlt rw [IsRoot, this, eval_C] at h simp only [h, RingHom.map_zero] at this exact hp this #align polynomial.degree_pos_of_root Polynomial.degree_pos_of_root theorem natDegree_le_iff_coeff_eq_zero : p.natDegree ≤ n ↔ ∀ N : ℕ, n < N → p.coeff N = 0 := by simp_rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero, Nat.cast_lt] #align polynomial.nat_degree_le_iff_coeff_eq_zero Polynomial.natDegree_le_iff_coeff_eq_zero theorem natDegree_add_le_iff_left {n : ℕ} (p q : R[X]) (qn : q.natDegree ≤ n) : (p + q).natDegree ≤ n ↔ p.natDegree ≤ n := by refine ⟨fun h => ?_, fun h => natDegree_add_le_of_degree_le h qn⟩ refine natDegree_le_iff_coeff_eq_zero.mpr fun m hm => ?_ convert natDegree_le_iff_coeff_eq_zero.mp h m hm using 1 rw [coeff_add, natDegree_le_iff_coeff_eq_zero.mp qn _ hm, add_zero] #align polynomial.nat_degree_add_le_iff_left Polynomial.natDegree_add_le_iff_left theorem natDegree_add_le_iff_right {n : ℕ} (p q : R[X]) (pn : p.natDegree ≤ n) : (p + q).natDegree ≤ n ↔ q.natDegree ≤ n := by rw [add_comm] exact natDegree_add_le_iff_left _ _ pn #align polynomial.nat_degree_add_le_iff_right Polynomial.natDegree_add_le_iff_right theorem natDegree_C_mul_le (a : R) (f : R[X]) : (C a * f).natDegree ≤ f.natDegree := calc (C a * f).natDegree ≤ (C a).natDegree + f.natDegree := natDegree_mul_le _ = 0 + f.natDegree := by rw [natDegree_C a] _ = f.natDegree := zero_add _ set_option linter.uppercaseLean3 false in #align polynomial.nat_degree_C_mul_le Polynomial.natDegree_C_mul_le theorem natDegree_mul_C_le (f : R[X]) (a : R) : (f * C a).natDegree ≤ f.natDegree := calc (f * C a).natDegree ≤ f.natDegree + (C a).natDegree := natDegree_mul_le _ = f.natDegree + 0 := by rw [natDegree_C a] _ = f.natDegree := add_zero _ set_option linter.uppercaseLean3 false in #align polynomial.nat_degree_mul_C_le Polynomial.natDegree_mul_C_le theorem eq_natDegree_of_le_mem_support (pn : p.natDegree ≤ n) (ns : n ∈ p.support) : p.natDegree = n := le_antisymm pn (le_natDegree_of_mem_supp _ ns) #align polynomial.eq_nat_degree_of_le_mem_support Polynomial.eq_natDegree_of_le_mem_support theorem natDegree_C_mul_eq_of_mul_eq_one {ai : R} (au : ai * a = 1) : (C a * p).natDegree = p.natDegree := le_antisymm (natDegree_C_mul_le a p) (calc p.natDegree = (1 * p).natDegree := by nth_rw 1 [← one_mul p] _ = (C ai * (C a * p)).natDegree := by rw [← C_1, ← au, RingHom.map_mul, ← mul_assoc] _ ≤ (C a * p).natDegree := natDegree_C_mul_le ai (C a * p)) set_option linter.uppercaseLean3 false in #align polynomial.nat_degree_C_mul_eq_of_mul_eq_one Polynomial.natDegree_C_mul_eq_of_mul_eq_one theorem natDegree_mul_C_eq_of_mul_eq_one {ai : R} (au : a * ai = 1) : (p * C a).natDegree = p.natDegree := le_antisymm (natDegree_mul_C_le p a) (calc p.natDegree = (p * 1).natDegree := by nth_rw 1 [← mul_one p] _ = (p * C a * C ai).natDegree := by rw [← C_1, ← au, RingHom.map_mul, ← mul_assoc] _ ≤ (p * C a).natDegree := natDegree_mul_C_le (p * C a) ai) set_option linter.uppercaseLean3 false in #align polynomial.nat_degree_mul_C_eq_of_mul_eq_one Polynomial.natDegree_mul_C_eq_of_mul_eq_one theorem natDegree_mul_C_eq_of_mul_ne_zero (h : p.leadingCoeff * a ≠ 0) : (p * C a).natDegree = p.natDegree := by refine eq_natDegree_of_le_mem_support (natDegree_mul_C_le p a) ?_ refine mem_support_iff.mpr ?_ rwa [coeff_mul_C] set_option linter.uppercaseLean3 false in #align polynomial.nat_degree_mul_C_eq_of_mul_ne_zero Polynomial.natDegree_mul_C_eq_of_mul_ne_zero theorem natDegree_C_mul_eq_of_mul_ne_zero (h : a * p.leadingCoeff ≠ 0) : (C a * p).natDegree = p.natDegree := by refine eq_natDegree_of_le_mem_support (natDegree_C_mul_le a p) ?_ refine mem_support_iff.mpr ?_ rwa [coeff_C_mul] set_option linter.uppercaseLean3 false in #align polynomial.nat_degree_C_mul_eq_of_mul_ne_zero Polynomial.natDegree_C_mul_eq_of_mul_ne_zero theorem natDegree_add_coeff_mul (f g : R[X]) : (f * g).coeff (f.natDegree + g.natDegree) = f.coeff f.natDegree * g.coeff g.natDegree := by simp only [coeff_natDegree, coeff_mul_degree_add_degree] #align polynomial.nat_degree_add_coeff_mul Polynomial.natDegree_add_coeff_mul theorem natDegree_lt_coeff_mul (h : p.natDegree + q.natDegree < m + n) : (p * q).coeff (m + n) = 0 := coeff_eq_zero_of_natDegree_lt (natDegree_mul_le.trans_lt h) #align polynomial.nat_degree_lt_coeff_mul Polynomial.natDegree_lt_coeff_mul theorem coeff_mul_of_natDegree_le (pm : p.natDegree ≤ m) (qn : q.natDegree ≤ n) : (p * q).coeff (m + n) = p.coeff m * q.coeff n := by simp_rw [← Polynomial.toFinsupp_apply, toFinsupp_mul] refine AddMonoidAlgebra.apply_add_of_supDegree_le ?_ Function.injective_id ?_ ?_ · simp · rwa [supDegree_eq_natDegree, id_eq] · rwa [supDegree_eq_natDegree, id_eq] #align polynomial.coeff_mul_of_nat_degree_le Polynomial.coeff_mul_of_natDegree_le theorem coeff_pow_of_natDegree_le (pn : p.natDegree ≤ n) : (p ^ m).coeff (m * n) = p.coeff n ^ m := by induction' m with m hm · simp · rw [pow_succ, pow_succ, ← hm, Nat.succ_mul, coeff_mul_of_natDegree_le _ pn] refine natDegree_pow_le.trans (le_trans ?_ (le_refl _)) exact mul_le_mul_of_nonneg_left pn m.zero_le #align polynomial.coeff_pow_of_nat_degree_le Polynomial.coeff_pow_of_natDegree_le
Mathlib/Algebra/Polynomial/Degree/Lemmas.lean
181
187
theorem coeff_pow_eq_ite_of_natDegree_le_of_le {o : ℕ} (pn : natDegree p ≤ n) (mno : m * n ≤ o) : coeff (p ^ m) o = if o = m * n then (coeff p n) ^ m else 0 := by
rcases eq_or_ne o (m * n) with rfl | h · simpa only [ite_true] using coeff_pow_of_natDegree_le pn · simpa only [h, ite_false] using coeff_eq_zero_of_natDegree_lt <| lt_of_le_of_lt (natDegree_pow_le_of_le m pn) (lt_of_le_of_ne mno h.symm)
import Mathlib.Topology.Algebra.InfiniteSum.Defs import Mathlib.Data.Fintype.BigOperators import Mathlib.Topology.Algebra.Monoid noncomputable section open Filter Finset Function open scoped Topology variable {α β γ δ : Type*} section tprod variable [CommMonoid α] [TopologicalSpace α] {f g : β → α} {a a₁ a₂ : α} @[to_additive]
Mathlib/Topology/Algebra/InfiniteSum/Basic.lean
387
388
theorem tprod_congr_set_coe (f : β → α) {s t : Set β} (h : s = t) : ∏' x : s, f x = ∏' x : t, f x := by
rw [h]
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 Sum open Sum variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace W] theorem continuous_sum_dom {f : X ⊕ Y → Z} : Continuous f ↔ Continuous (f ∘ Sum.inl) ∧ Continuous (f ∘ Sum.inr) := (continuous_sup_dom (t₁ := TopologicalSpace.coinduced Sum.inl _) (t₂ := TopologicalSpace.coinduced Sum.inr _)).trans <| continuous_coinduced_dom.and continuous_coinduced_dom #align continuous_sum_dom continuous_sum_dom theorem continuous_sum_elim {f : X → Z} {g : Y → Z} : Continuous (Sum.elim f g) ↔ Continuous f ∧ Continuous g := continuous_sum_dom #align continuous_sum_elim continuous_sum_elim @[continuity] theorem Continuous.sum_elim {f : X → Z} {g : Y → Z} (hf : Continuous f) (hg : Continuous g) : Continuous (Sum.elim f g) := continuous_sum_elim.2 ⟨hf, hg⟩ #align continuous.sum_elim Continuous.sum_elim @[continuity] theorem continuous_isLeft : Continuous (isLeft : X ⊕ Y → Bool) := continuous_sum_dom.2 ⟨continuous_const, continuous_const⟩ @[continuity] theorem continuous_isRight : Continuous (isRight : X ⊕ Y → Bool) := continuous_sum_dom.2 ⟨continuous_const, continuous_const⟩ @[continuity] -- Porting note: the proof was `continuous_sup_rng_left continuous_coinduced_rng` theorem continuous_inl : Continuous (@inl X Y) := ⟨fun _ => And.left⟩ #align continuous_inl continuous_inl @[continuity] -- Porting note: the proof was `continuous_sup_rng_right continuous_coinduced_rng` theorem continuous_inr : Continuous (@inr X Y) := ⟨fun _ => And.right⟩ #align continuous_inr continuous_inr theorem isOpen_sum_iff {s : Set (X ⊕ Y)} : IsOpen s ↔ IsOpen (inl ⁻¹' s) ∧ IsOpen (inr ⁻¹' s) := Iff.rfl #align is_open_sum_iff isOpen_sum_iff -- Porting note (#10756): new theorem theorem isClosed_sum_iff {s : Set (X ⊕ Y)} : IsClosed s ↔ IsClosed (inl ⁻¹' s) ∧ IsClosed (inr ⁻¹' s) := by simp only [← isOpen_compl_iff, isOpen_sum_iff, preimage_compl] theorem isOpenMap_inl : IsOpenMap (@inl X Y) := fun u hu => by simpa [isOpen_sum_iff, preimage_image_eq u Sum.inl_injective] #align is_open_map_inl isOpenMap_inl theorem isOpenMap_inr : IsOpenMap (@inr X Y) := fun u hu => by simpa [isOpen_sum_iff, preimage_image_eq u Sum.inr_injective] #align is_open_map_inr isOpenMap_inr theorem openEmbedding_inl : OpenEmbedding (@inl X Y) := openEmbedding_of_continuous_injective_open continuous_inl inl_injective isOpenMap_inl #align open_embedding_inl openEmbedding_inl theorem openEmbedding_inr : OpenEmbedding (@inr X Y) := openEmbedding_of_continuous_injective_open continuous_inr inr_injective isOpenMap_inr #align open_embedding_inr openEmbedding_inr theorem embedding_inl : Embedding (@inl X Y) := openEmbedding_inl.1 #align embedding_inl embedding_inl theorem embedding_inr : Embedding (@inr X Y) := openEmbedding_inr.1 #align embedding_inr embedding_inr theorem isOpen_range_inl : IsOpen (range (inl : X → X ⊕ Y)) := openEmbedding_inl.2 #align is_open_range_inl isOpen_range_inl theorem isOpen_range_inr : IsOpen (range (inr : Y → X ⊕ Y)) := openEmbedding_inr.2 #align is_open_range_inr isOpen_range_inr theorem isClosed_range_inl : IsClosed (range (inl : X → X ⊕ Y)) := by rw [← isOpen_compl_iff, compl_range_inl] exact isOpen_range_inr #align is_closed_range_inl isClosed_range_inl theorem isClosed_range_inr : IsClosed (range (inr : Y → X ⊕ Y)) := by rw [← isOpen_compl_iff, compl_range_inr] exact isOpen_range_inl #align is_closed_range_inr isClosed_range_inr theorem closedEmbedding_inl : ClosedEmbedding (inl : X → X ⊕ Y) := ⟨embedding_inl, isClosed_range_inl⟩ #align closed_embedding_inl closedEmbedding_inl theorem closedEmbedding_inr : ClosedEmbedding (inr : Y → X ⊕ Y) := ⟨embedding_inr, isClosed_range_inr⟩ #align closed_embedding_inr closedEmbedding_inr theorem nhds_inl (x : X) : 𝓝 (inl x : X ⊕ Y) = map inl (𝓝 x) := (openEmbedding_inl.map_nhds_eq _).symm #align nhds_inl nhds_inl theorem nhds_inr (y : Y) : 𝓝 (inr y : X ⊕ Y) = map inr (𝓝 y) := (openEmbedding_inr.map_nhds_eq _).symm #align nhds_inr nhds_inr @[simp] theorem continuous_sum_map {f : X → Y} {g : Z → W} : Continuous (Sum.map f g) ↔ Continuous f ∧ Continuous g := continuous_sum_elim.trans <| embedding_inl.continuous_iff.symm.and embedding_inr.continuous_iff.symm #align continuous_sum_map continuous_sum_map @[continuity] theorem Continuous.sum_map {f : X → Y} {g : Z → W} (hf : Continuous f) (hg : Continuous g) : Continuous (Sum.map f g) := continuous_sum_map.2 ⟨hf, hg⟩ #align continuous.sum_map Continuous.sum_map theorem isOpenMap_sum {f : X ⊕ Y → Z} : IsOpenMap f ↔ (IsOpenMap fun a => f (inl a)) ∧ IsOpenMap fun b => f (inr b) := by simp only [isOpenMap_iff_nhds_le, Sum.forall, nhds_inl, nhds_inr, Filter.map_map, comp] #align is_open_map_sum isOpenMap_sum @[simp]
Mathlib/Topology/Constructions.lean
1,048
1,050
theorem isOpenMap_sum_elim {f : X → Z} {g : Y → Z} : IsOpenMap (Sum.elim f g) ↔ IsOpenMap f ∧ IsOpenMap g := by
simp only [isOpenMap_sum, elim_inl, elim_inr]
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology #align_import topology.uniform_space.equicontinuity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" section open UniformSpace Filter Set Uniformity Topology UniformConvergence Function variable {ι κ X X' Y Z α α' β β' γ 𝓕 : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y] [tZ : TopologicalSpace Z] [uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ] def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U #align equicontinuous_at EquicontinuousAt protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop := EquicontinuousAt ((↑) : H → X → α) x₀ #align set.equicontinuous_at Set.EquicontinuousAt def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop := EquicontinuousWithinAt ((↑) : H → X → α) S x₀ def Equicontinuous (F : ι → X → α) : Prop := ∀ x₀, EquicontinuousAt F x₀ #align equicontinuous Equicontinuous protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop := Equicontinuous ((↑) : H → X → α) #align set.equicontinuous Set.Equicontinuous def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop := ∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀ protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop := EquicontinuousOn ((↑) : H → X → α) S def UniformEquicontinuous (F : ι → β → α) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U #align uniform_equicontinuous UniformEquicontinuous protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop := UniformEquicontinuous ((↑) : H → β → α) #align set.uniform_equicontinuous Set.UniformEquicontinuous def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop := UniformEquicontinuousOn ((↑) : H → β → α) S lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀) (S : Set X) : EquicontinuousWithinAt F S x₀ := fun U hU ↦ (H U hU).filter_mono inf_le_left lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X} (H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ := fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST @[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) : EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ] lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) : EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by simp [EquicontinuousWithinAt, EquicontinuousAt, ← eventually_nhds_subtype_iff] lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F) (S : Set X) : EquicontinuousOn F S := fun x _ ↦ (H x).equicontinuousWithinAt S lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X} (H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S := fun x hx ↦ (H x (hST hx)).mono hST lemma equicontinuousOn_univ (F : ι → X → α) : EquicontinuousOn F univ ↔ Equicontinuous F := by simp [EquicontinuousOn, Equicontinuous] lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} : Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff] lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F) (S : Set β) : UniformEquicontinuousOn F S := fun U hU ↦ (H U hU).filter_mono inf_le_left lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β} (H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S := fun U hU ↦ (H U hU).filter_mono <| by gcongr lemma uniformEquicontinuousOn_univ (F : ι → β → α) : UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by simp [UniformEquicontinuousOn, UniformEquicontinuous] lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} : UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by rw [UniformEquicontinuous, UniformEquicontinuousOn] conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prod_map, ← map_comap] rfl @[simp] lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) : EquicontinuousAt F x₀ := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) : EquicontinuousWithinAt F S x₀ := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) : Equicontinuous F := equicontinuousAt_empty F @[simp] lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) : EquicontinuousOn F S := fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀ @[simp] lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) : UniformEquicontinuous F := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) : UniformEquicontinuousOn F S := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball, @forall_swap _ ι] theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by simp [EquicontinuousWithinAt, ContinuousWithinAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball, @forall_swap _ ι] theorem equicontinuous_finite [Finite ι] {F : ι → X → α} : Equicontinuous F ↔ ∀ i, Continuous (F i) := by simp only [Equicontinuous, equicontinuousAt_finite, continuous_iff_continuousAt, @forall_swap ι] theorem equicontinuousOn_finite [Finite ι] {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ∀ i, ContinuousOn (F i) S := by simp only [EquicontinuousOn, equicontinuousWithinAt_finite, ContinuousOn, @forall_swap ι] theorem uniformEquicontinuous_finite [Finite ι] {F : ι → β → α} : UniformEquicontinuous F ↔ ∀ i, UniformContinuous (F i) := by simp only [UniformEquicontinuous, eventually_all, @forall_swap _ ι]; rfl theorem uniformEquicontinuousOn_finite [Finite ι] {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ ∀ i, UniformContinuousOn (F i) S := by simp only [UniformEquicontinuousOn, eventually_all, @forall_swap _ ι]; rfl theorem equicontinuousAt_unique [Unique ι] {F : ι → X → α} {x : X} : EquicontinuousAt F x ↔ ContinuousAt (F default) x := equicontinuousAt_finite.trans Unique.forall_iff theorem equicontinuousWithinAt_unique [Unique ι] {F : ι → X → α} {S : Set X} {x : X} : EquicontinuousWithinAt F S x ↔ ContinuousWithinAt (F default) S x := equicontinuousWithinAt_finite.trans Unique.forall_iff theorem equicontinuous_unique [Unique ι] {F : ι → X → α} : Equicontinuous F ↔ Continuous (F default) := equicontinuous_finite.trans Unique.forall_iff theorem equicontinuousOn_unique [Unique ι] {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ContinuousOn (F default) S := equicontinuousOn_finite.trans Unique.forall_iff theorem uniformEquicontinuous_unique [Unique ι] {F : ι → β → α} : UniformEquicontinuous F ↔ UniformContinuous (F default) := uniformEquicontinuous_finite.trans Unique.forall_iff theorem uniformEquicontinuousOn_unique [Unique ι] {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ UniformContinuousOn (F default) S := uniformEquicontinuousOn_finite.trans Unique.forall_iff theorem equicontinuousWithinAt_iff_pair {F : ι → X → α} {S : Set X} {x₀ : X} (hx₀ : x₀ ∈ S) : EquicontinuousWithinAt F S x₀ ↔ ∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝[S] x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by constructor <;> intro H U hU · rcases comp_symm_mem_uniformity_sets hU with ⟨V, hV, hVsymm, hVU⟩ refine ⟨_, H V hV, fun x hx y hy i => hVU (prod_mk_mem_compRel ?_ (hy i))⟩ exact hVsymm.mk_mem_comm.mp (hx i) · rcases H U hU with ⟨V, hV, hVU⟩ filter_upwards [hV] using fun x hx i => hVU x₀ (mem_of_mem_nhdsWithin hx₀ hV) x hx i theorem equicontinuousAt_iff_pair {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ∀ U ∈ 𝓤 α, ∃ V ∈ 𝓝 x₀, ∀ x ∈ V, ∀ y ∈ V, ∀ i, (F i x, F i y) ∈ U := by simp_rw [← equicontinuousWithinAt_univ, equicontinuousWithinAt_iff_pair (mem_univ x₀), nhdsWithin_univ] #align equicontinuous_at_iff_pair equicontinuousAt_iff_pair theorem UniformEquicontinuous.equicontinuous {F : ι → β → α} (h : UniformEquicontinuous F) : Equicontinuous F := fun x₀ U hU ↦ mem_of_superset (ball_mem_nhds x₀ (h U hU)) fun _ hx i ↦ hx i #align uniform_equicontinuous.equicontinuous UniformEquicontinuous.equicontinuous theorem UniformEquicontinuousOn.equicontinuousOn {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S) : EquicontinuousOn F S := fun _ hx₀ U hU ↦ mem_of_superset (ball_mem_nhdsWithin hx₀ (h U hU)) fun _ hx i ↦ hx i theorem EquicontinuousAt.continuousAt {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (i : ι) : ContinuousAt (F i) x₀ := (UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i #align equicontinuous_at.continuous_at EquicontinuousAt.continuousAt theorem EquicontinuousWithinAt.continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} (h : EquicontinuousWithinAt F S x₀) (i : ι) : ContinuousWithinAt (F i) S x₀ := (UniformSpace.hasBasis_nhds _).tendsto_right_iff.2 fun U ⟨hU, _⟩ ↦ (h U hU).mono fun _x hx ↦ hx i protected theorem Set.EquicontinuousAt.continuousAt_of_mem {H : Set <| X → α} {x₀ : X} (h : H.EquicontinuousAt x₀) {f : X → α} (hf : f ∈ H) : ContinuousAt f x₀ := h.continuousAt ⟨f, hf⟩ #align set.equicontinuous_at.continuous_at_of_mem Set.EquicontinuousAt.continuousAt_of_mem protected theorem Set.EquicontinuousWithinAt.continuousWithinAt_of_mem {H : Set <| X → α} {S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) {f : X → α} (hf : f ∈ H) : ContinuousWithinAt f S x₀ := h.continuousWithinAt ⟨f, hf⟩ theorem Equicontinuous.continuous {F : ι → X → α} (h : Equicontinuous F) (i : ι) : Continuous (F i) := continuous_iff_continuousAt.mpr fun x => (h x).continuousAt i #align equicontinuous.continuous Equicontinuous.continuous theorem EquicontinuousOn.continuousOn {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (i : ι) : ContinuousOn (F i) S := fun x hx ↦ (h x hx).continuousWithinAt i protected theorem Set.Equicontinuous.continuous_of_mem {H : Set <| X → α} (h : H.Equicontinuous) {f : X → α} (hf : f ∈ H) : Continuous f := h.continuous ⟨f, hf⟩ #align set.equicontinuous.continuous_of_mem Set.Equicontinuous.continuous_of_mem protected theorem Set.EquicontinuousOn.continuousOn_of_mem {H : Set <| X → α} {S : Set X} (h : H.EquicontinuousOn S) {f : X → α} (hf : f ∈ H) : ContinuousOn f S := h.continuousOn ⟨f, hf⟩ theorem UniformEquicontinuous.uniformContinuous {F : ι → β → α} (h : UniformEquicontinuous F) (i : ι) : UniformContinuous (F i) := fun U hU => mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i) #align uniform_equicontinuous.uniform_continuous UniformEquicontinuous.uniformContinuous theorem UniformEquicontinuousOn.uniformContinuousOn {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S) (i : ι) : UniformContinuousOn (F i) S := fun U hU => mem_map.mpr (mem_of_superset (h U hU) fun _ hxy => hxy i) protected theorem Set.UniformEquicontinuous.uniformContinuous_of_mem {H : Set <| β → α} (h : H.UniformEquicontinuous) {f : β → α} (hf : f ∈ H) : UniformContinuous f := h.uniformContinuous ⟨f, hf⟩ #align set.uniform_equicontinuous.uniform_continuous_of_mem Set.UniformEquicontinuous.uniformContinuous_of_mem protected theorem Set.UniformEquicontinuousOn.uniformContinuousOn_of_mem {H : Set <| β → α} {S : Set β} (h : H.UniformEquicontinuousOn S) {f : β → α} (hf : f ∈ H) : UniformContinuousOn f S := h.uniformContinuousOn ⟨f, hf⟩ theorem EquicontinuousAt.comp {F : ι → X → α} {x₀ : X} (h : EquicontinuousAt F x₀) (u : κ → ι) : EquicontinuousAt (F ∘ u) x₀ := fun U hU => (h U hU).mono fun _ H k => H (u k) #align equicontinuous_at.comp EquicontinuousAt.comp theorem EquicontinuousWithinAt.comp {F : ι → X → α} {S : Set X} {x₀ : X} (h : EquicontinuousWithinAt F S x₀) (u : κ → ι) : EquicontinuousWithinAt (F ∘ u) S x₀ := fun U hU ↦ (h U hU).mono fun _ H k => H (u k) protected theorem Set.EquicontinuousAt.mono {H H' : Set <| X → α} {x₀ : X} (h : H.EquicontinuousAt x₀) (hH : H' ⊆ H) : H'.EquicontinuousAt x₀ := h.comp (inclusion hH) #align set.equicontinuous_at.mono Set.EquicontinuousAt.mono protected theorem Set.EquicontinuousWithinAt.mono {H H' : Set <| X → α} {S : Set X} {x₀ : X} (h : H.EquicontinuousWithinAt S x₀) (hH : H' ⊆ H) : H'.EquicontinuousWithinAt S x₀ := h.comp (inclusion hH) theorem Equicontinuous.comp {F : ι → X → α} (h : Equicontinuous F) (u : κ → ι) : Equicontinuous (F ∘ u) := fun x => (h x).comp u #align equicontinuous.comp Equicontinuous.comp theorem EquicontinuousOn.comp {F : ι → X → α} {S : Set X} (h : EquicontinuousOn F S) (u : κ → ι) : EquicontinuousOn (F ∘ u) S := fun x hx ↦ (h x hx).comp u protected theorem Set.Equicontinuous.mono {H H' : Set <| X → α} (h : H.Equicontinuous) (hH : H' ⊆ H) : H'.Equicontinuous := h.comp (inclusion hH) #align set.equicontinuous.mono Set.Equicontinuous.mono protected theorem Set.EquicontinuousOn.mono {H H' : Set <| X → α} {S : Set X} (h : H.EquicontinuousOn S) (hH : H' ⊆ H) : H'.EquicontinuousOn S := h.comp (inclusion hH) theorem UniformEquicontinuous.comp {F : ι → β → α} (h : UniformEquicontinuous F) (u : κ → ι) : UniformEquicontinuous (F ∘ u) := fun U hU => (h U hU).mono fun _ H k => H (u k) #align uniform_equicontinuous.comp UniformEquicontinuous.comp theorem UniformEquicontinuousOn.comp {F : ι → β → α} {S : Set β} (h : UniformEquicontinuousOn F S) (u : κ → ι) : UniformEquicontinuousOn (F ∘ u) S := fun U hU ↦ (h U hU).mono fun _ H k => H (u k) protected theorem Set.UniformEquicontinuous.mono {H H' : Set <| β → α} (h : H.UniformEquicontinuous) (hH : H' ⊆ H) : H'.UniformEquicontinuous := h.comp (inclusion hH) #align set.uniform_equicontinuous.mono Set.UniformEquicontinuous.mono protected theorem Set.UniformEquicontinuousOn.mono {H H' : Set <| β → α} {S : Set β} (h : H.UniformEquicontinuousOn S) (hH : H' ⊆ H) : H'.UniformEquicontinuousOn S := h.comp (inclusion hH) theorem equicontinuousAt_iff_range {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ EquicontinuousAt ((↑) : range F → X → α) x₀ := by simp only [EquicontinuousAt, forall_subtype_range_iff] #align equicontinuous_at_iff_range equicontinuousAt_iff_range theorem equicontinuousWithinAt_iff_range {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ EquicontinuousWithinAt ((↑) : range F → X → α) S x₀ := by simp only [EquicontinuousWithinAt, forall_subtype_range_iff] theorem equicontinuous_iff_range {F : ι → X → α} : Equicontinuous F ↔ Equicontinuous ((↑) : range F → X → α) := forall_congr' fun _ => equicontinuousAt_iff_range #align equicontinuous_iff_range equicontinuous_iff_range theorem equicontinuousOn_iff_range {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ EquicontinuousOn ((↑) : range F → X → α) S := forall_congr' fun _ ↦ forall_congr' fun _ ↦ equicontinuousWithinAt_iff_range theorem uniformEquicontinuous_iff_range {F : ι → β → α} : UniformEquicontinuous F ↔ UniformEquicontinuous ((↑) : range F → β → α) := ⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h => h.comp (rangeFactorization F)⟩ #align uniform_equicontinuous_at_iff_range uniformEquicontinuous_iff_range theorem uniformEquicontinuousOn_iff_range {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ UniformEquicontinuousOn ((↑) : range F → β → α) S := ⟨fun h => by rw [← comp_rangeSplitting F]; exact h.comp _, fun h => h.comp (rangeFactorization F)⟩ section open UniformFun theorem equicontinuousAt_iff_continuousAt {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ContinuousAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) x₀ := by rw [ContinuousAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff] rfl #align equicontinuous_at_iff_continuous_at equicontinuousAt_iff_continuousAt theorem equicontinuousWithinAt_iff_continuousWithinAt {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ ContinuousWithinAt (ofFun ∘ Function.swap F : X → ι →ᵤ α) S x₀ := by rw [ContinuousWithinAt, (UniformFun.hasBasis_nhds ι α _).tendsto_right_iff] rfl theorem equicontinuous_iff_continuous {F : ι → X → α} : Equicontinuous F ↔ Continuous (ofFun ∘ Function.swap F : X → ι →ᵤ α) := by simp_rw [Equicontinuous, continuous_iff_continuousAt, equicontinuousAt_iff_continuousAt] #align equicontinuous_iff_continuous equicontinuous_iff_continuous theorem equicontinuousOn_iff_continuousOn {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ContinuousOn (ofFun ∘ Function.swap F : X → ι →ᵤ α) S := by simp_rw [EquicontinuousOn, ContinuousOn, equicontinuousWithinAt_iff_continuousWithinAt] theorem uniformEquicontinuous_iff_uniformContinuous {F : ι → β → α} : UniformEquicontinuous F ↔ UniformContinuous (ofFun ∘ Function.swap F : β → ι →ᵤ α) := by rw [UniformContinuous, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff] rfl #align uniform_equicontinuous_iff_uniform_continuous uniformEquicontinuous_iff_uniformContinuous theorem uniformEquicontinuousOn_iff_uniformContinuousOn {F : ι → β → α} {S : Set β} : UniformEquicontinuousOn F S ↔ UniformContinuousOn (ofFun ∘ Function.swap F : β → ι →ᵤ α) S := by rw [UniformContinuousOn, (UniformFun.hasBasis_uniformity ι α).tendsto_right_iff] rfl
Mathlib/Topology/UniformSpace/Equicontinuity.lean
561
566
theorem equicontinuousWithinAt_iInf_rng {u : κ → UniformSpace α'} {F : ι → X → α'} {S : Set X} {x₀ : X} : EquicontinuousWithinAt (uα := ⨅ k, u k) F S x₀ ↔ ∀ k, EquicontinuousWithinAt (uα := u k) F S x₀ := by
simp only [equicontinuousWithinAt_iff_continuousWithinAt (uα := _), topologicalSpace] unfold ContinuousWithinAt rw [UniformFun.iInf_eq, toTopologicalSpace_iInf, nhds_iInf, tendsto_iInf]
import Mathlib.Data.Finsupp.Basic import Mathlib.Data.List.AList #align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" namespace AList variable {α M : Type*} [Zero M] open List noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where support := by haveI := Classical.decEq α; haveI := Classical.decEq M exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset toFun a := haveI := Classical.decEq α (l.lookup a).getD 0 mem_support_toFun a := by classical simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff] cases lookup a l <;> simp #align alist.lookup_finsupp AList.lookupFinsupp @[simp] theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) : l.lookupFinsupp a = (l.lookup a).getD 0 := by convert rfl; congr #align alist.lookup_finsupp_apply AList.lookupFinsupp_apply @[simp] theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) : l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by convert rfl; congr · apply Subsingleton.elim · funext; congr #align alist.lookup_finsupp_support AList.lookupFinsupp_support theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M} (hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by rw [lookupFinsupp_apply] cases' lookup a l with m <;> simp [hx.symm] #align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero
Mathlib/Data/Finsupp/AList.lean
95
98
theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} : l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by
rw [lookupFinsupp_apply, ← lookup_eq_none] cases' lookup a l with m <;> simp
import Mathlib.Order.BoundedOrder import Mathlib.Order.MinMax import Mathlib.Algebra.NeZero import Mathlib.Algebra.Order.Monoid.Defs #align_import algebra.order.monoid.canonical.defs from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" universe u variable {α : Type u} class ExistsMulOfLE (α : Type u) [Mul α] [LE α] : Prop where exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a * c #align has_exists_mul_of_le ExistsMulOfLE class ExistsAddOfLE (α : Type u) [Add α] [LE α] : Prop where exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c : α, b = a + c #align has_exists_add_of_le ExistsAddOfLE attribute [to_additive] ExistsMulOfLE export ExistsMulOfLE (exists_mul_of_le) export ExistsAddOfLE (exists_add_of_le) -- See note [lower instance priority] @[to_additive] instance (priority := 100) Group.existsMulOfLE (α : Type u) [Group α] [LE α] : ExistsMulOfLE α := ⟨fun {a b} _ => ⟨a⁻¹ * b, (mul_inv_cancel_left _ _).symm⟩⟩ #align group.has_exists_mul_of_le Group.existsMulOfLE #align add_group.has_exists_add_of_le AddGroup.existsAddOfLE class CanonicallyOrderedAddCommMonoid (α : Type*) extends OrderedAddCommMonoid α, OrderBot α where protected exists_add_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a + c protected le_self_add : ∀ a b : α, a ≤ a + b #align canonically_ordered_add_monoid CanonicallyOrderedAddCommMonoid #align canonically_ordered_add_monoid.to_order_bot CanonicallyOrderedAddCommMonoid.toOrderBot -- see Note [lower instance priority] attribute [instance 100] CanonicallyOrderedAddCommMonoid.toOrderBot @[to_additive] class CanonicallyOrderedCommMonoid (α : Type*) extends OrderedCommMonoid α, OrderBot α where protected exists_mul_of_le : ∀ {a b : α}, a ≤ b → ∃ c, b = a * c protected le_self_mul : ∀ a b : α, a ≤ a * b #align canonically_ordered_monoid CanonicallyOrderedAddCommMonoid #align canonically_ordered_monoid.to_order_bot CanonicallyOrderedCommMonoid.toOrderBot -- see Note [lower instance priority] attribute [instance 100] CanonicallyOrderedCommMonoid.toOrderBot -- see Note [lower instance priority] @[to_additive] instance (priority := 100) CanonicallyOrderedCommMonoid.existsMulOfLE (α : Type u) [h : CanonicallyOrderedCommMonoid α] : ExistsMulOfLE α := { h with } #align canonically_ordered_monoid.has_exists_mul_of_le CanonicallyOrderedCommMonoid.existsMulOfLE #align canonically_ordered_add_monoid.has_exists_add_of_le CanonicallyOrderedAddCommMonoid.existsAddOfLE section CanonicallyOrderedCommMonoid variable [CanonicallyOrderedCommMonoid α] {a b c d : α} @[to_additive] theorem le_self_mul : a ≤ a * c := CanonicallyOrderedCommMonoid.le_self_mul _ _ #align le_self_mul le_self_mul #align le_self_add le_self_add @[to_additive] theorem le_mul_self : a ≤ b * a := by rw [mul_comm] exact le_self_mul #align le_mul_self le_mul_self #align le_add_self le_add_self @[to_additive (attr := simp)] theorem self_le_mul_right (a b : α) : a ≤ a * b := le_self_mul #align self_le_mul_right self_le_mul_right #align self_le_add_right self_le_add_right @[to_additive (attr := simp)] theorem self_le_mul_left (a b : α) : a ≤ b * a := le_mul_self #align self_le_mul_left self_le_mul_left #align self_le_add_left self_le_add_left @[to_additive] theorem le_of_mul_le_left : a * b ≤ c → a ≤ c := le_self_mul.trans #align le_of_mul_le_left le_of_mul_le_left #align le_of_add_le_left le_of_add_le_left @[to_additive] theorem le_of_mul_le_right : a * b ≤ c → b ≤ c := le_mul_self.trans #align le_of_mul_le_right le_of_mul_le_right #align le_of_add_le_right le_of_add_le_right @[to_additive] theorem le_mul_of_le_left : a ≤ b → a ≤ b * c := le_self_mul.trans' #align le_mul_of_le_left le_mul_of_le_left #align le_add_of_le_left le_add_of_le_left @[to_additive] theorem le_mul_of_le_right : a ≤ c → a ≤ b * c := le_mul_self.trans' #align le_mul_of_le_right le_mul_of_le_right #align le_add_of_le_right le_add_of_le_right @[to_additive] theorem le_iff_exists_mul : a ≤ b ↔ ∃ c, b = a * c := ⟨exists_mul_of_le, by rintro ⟨c, rfl⟩ exact le_self_mul⟩ #align le_iff_exists_mul le_iff_exists_mul #align le_iff_exists_add le_iff_exists_add @[to_additive] theorem le_iff_exists_mul' : a ≤ b ↔ ∃ c, b = c * a := by simp only [mul_comm _ a, le_iff_exists_mul] #align le_iff_exists_mul' le_iff_exists_mul' #align le_iff_exists_add' le_iff_exists_add' @[to_additive (attr := simp) zero_le] theorem one_le (a : α) : 1 ≤ a := le_iff_exists_mul.mpr ⟨a, (one_mul _).symm⟩ #align one_le one_le #align zero_le zero_le @[to_additive] theorem bot_eq_one : (⊥ : α) = 1 := le_antisymm bot_le (one_le ⊥) #align bot_eq_one bot_eq_one #align bot_eq_zero bot_eq_zero --TODO: This is a special case of `mul_eq_one`. We need the instance -- `CanonicallyOrderedCommMonoid α → Unique αˣ` @[to_additive (attr := simp)] theorem mul_eq_one_iff : a * b = 1 ↔ a = 1 ∧ b = 1 := mul_eq_one_iff' (one_le _) (one_le _) #align mul_eq_one_iff mul_eq_one_iff #align add_eq_zero_iff add_eq_zero_iff @[to_additive (attr := simp)] theorem le_one_iff_eq_one : a ≤ 1 ↔ a = 1 := (one_le a).le_iff_eq #align le_one_iff_eq_one le_one_iff_eq_one #align nonpos_iff_eq_zero nonpos_iff_eq_zero @[to_additive] theorem one_lt_iff_ne_one : 1 < a ↔ a ≠ 1 := (one_le a).lt_iff_ne.trans ne_comm #align one_lt_iff_ne_one one_lt_iff_ne_one #align pos_iff_ne_zero pos_iff_ne_zero @[to_additive] theorem eq_one_or_one_lt (a : α) : a = 1 ∨ 1 < a := (one_le a).eq_or_lt.imp_left Eq.symm #align eq_one_or_one_lt eq_one_or_one_lt #align eq_zero_or_pos eq_zero_or_pos @[to_additive (attr := simp) add_pos_iff] theorem one_lt_mul_iff : 1 < a * b ↔ 1 < a ∨ 1 < b := by simp only [one_lt_iff_ne_one, Ne, mul_eq_one_iff, not_and_or] #align one_lt_mul_iff one_lt_mul_iff #align add_pos_iff add_pos_iff @[to_additive] theorem exists_one_lt_mul_of_lt (h : a < b) : ∃ (c : _) (_ : 1 < c), a * c = b := by obtain ⟨c, hc⟩ := le_iff_exists_mul.1 h.le refine ⟨c, one_lt_iff_ne_one.2 ?_, hc.symm⟩ rintro rfl simp [hc, lt_irrefl] at h #align exists_one_lt_mul_of_lt exists_one_lt_mul_of_lt #align exists_pos_add_of_lt exists_pos_add_of_lt @[to_additive] theorem le_mul_left (h : a ≤ c) : a ≤ b * c := calc a = 1 * a := by simp _ ≤ b * c := mul_le_mul' (one_le _) h #align le_mul_left le_mul_left #align le_add_left le_add_left @[to_additive]
Mathlib/Algebra/Order/Monoid/Canonical/Defs.lean
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theorem le_mul_right (h : a ≤ b) : a ≤ b * c := calc a = a * 1 := by
simp _ ≤ b * c := mul_le_mul' h (one_le _)
import Batteries.Control.ForInStep.Lemmas import Batteries.Data.List.Basic import Batteries.Tactic.Init import Batteries.Tactic.Alias namespace List open Nat @[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by simp [Array.mem_def] @[simp] theorem drop_one : ∀ l : List α, drop 1 l = tail l | [] | _ :: _ => rfl theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by rw [← drop_one]; simp [zipWith_distrib_drop] theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl @[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun @[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ := fun _ i => h₂ (h₁ i) instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem := ⟨fun h₁ h₂ => h₂ h₁⟩ instance : Trans (Subset : List α → List α → Prop) Subset Subset := ⟨Subset.trans⟩ @[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _ theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ := fun s _ i => s (mem_cons_of_mem _ i) theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ := fun s _ i => .tail _ (s i) theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ := fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _) @[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _ @[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _ theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ := fun s => Subset.trans s <| subset_append_left _ _ theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ := fun s => Subset.trans s <| subset_append_right _ _ @[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq] @[simp] theorem append_subset {l₁ l₂ l : List α} : l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and] theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] := ⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩ theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ := fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _) @[simp] theorem nil_sublist : ∀ l : List α, [] <+ l | [] => .slnil | a :: l => (nil_sublist l).cons a @[simp] theorem Sublist.refl : ∀ l : List α, l <+ l | [] => .slnil | a :: l => (Sublist.refl l).cons₂ a theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by induction h₂ generalizing l₁ with | slnil => exact h₁ | cons _ _ IH => exact (IH h₁).cons _ | @cons₂ l₂ _ a _ IH => generalize e : a :: l₂ = l₂' match e ▸ h₁ with | .slnil => apply nil_sublist | .cons a' h₁' => cases e; apply (IH h₁').cons | .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂ instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩ @[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _ theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ := (sublist_cons a l₁).trans @[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂ | [], _ => nil_sublist _ | _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _ @[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂ | [], _ => Sublist.refl _ | _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _ theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ := s.trans <| sublist_append_left .. theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ := s.trans <| sublist_append_right .. @[simp] theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ := ⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩ @[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂ | [] => Iff.rfl | _ :: l => cons_sublist_cons.trans (append_sublist_append_left l) theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ := fun h l => (append_sublist_append_left l).mpr h theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l | .slnil, _ => Sublist.refl _ | .cons _ h, _ => (h.append_right _).cons _ | .cons₂ _ h, _ => (h.append_right _).cons₂ _ theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by induction l₁ generalizing l with | nil => match h with | .cons _ h => exact .inl h | .cons₂ _ h => exact .inr (.head ..) | cons b l₁ IH => match h with | .cons _ h => exact (IH h).imp_left (Sublist.cons _) | .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _) theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse | .slnil => Sublist.refl _ | .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse | .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _ @[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ := ⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩ @[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ := ⟨fun h => by have := h.reverse simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this exact this, fun h => h.append_right l⟩ theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ := (hl.append_right _).trans ((append_sublist_append_left _).2 hr) theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂ | .slnil, _, h => h | .cons _ s, _, h => .tail _ (s.subset h) | .cons₂ .., _, .head .. => .head .. | .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h) instance : Trans (@Sublist α) Subset Subset := ⟨fun h₁ h₂ => trans h₁.subset h₂⟩ instance : Trans Subset (@Sublist α) Subset := ⟨fun h₁ h₂ => trans h₁ h₂.subset⟩ instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem := ⟨fun h₁ h₂ => h₂.subset h₁⟩ theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂ | .slnil => Nat.le_refl 0 | .cons _l s => le_succ_of_le (length_le s) | .cons₂ _ s => succ_le_succ (length_le s) @[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] := ⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩ theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂ | .slnil, _ => rfl | .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _) | .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)] theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ := s.eq_of_length <| Nat.le_antisymm s.length_le h @[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩ obtain ⟨_, _, rfl⟩ := append_of_mem h exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..) @[simp] theorem replicate_sublist_replicate {m n} (a : α) : replicate m a <+ replicate n a ↔ m ≤ n := by refine ⟨fun h => ?_, fun h => ?_⟩ · have := h.length_le; simp only [length_replicate] at this ⊢; exact this · induction h with | refl => apply Sublist.refl | step => simp [*, replicate, Sublist.cons] theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} : l₁.isSublist l₂ ↔ l₁ <+ l₂ := by cases l₁ <;> cases l₂ <;> simp [isSublist] case cons.cons hd₁ tl₁ hd₂ tl₂ => if h_eq : hd₁ = hd₂ then simp [h_eq, cons_sublist_cons, isSublist_iff_sublist] else simp only [beq_iff_eq, h_eq] constructor · intro h_sub apply Sublist.cons exact isSublist_iff_sublist.mp h_sub · intro h_sub cases h_sub case cons h_sub => exact isSublist_iff_sublist.mpr h_sub case cons₂ => contradiction instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) := decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by simp [tail_eq_tailD] @[simp] theorem next?_nil : @next? α [] = none := rfl @[simp] theorem next?_cons (a l) : @next? α (a :: l) = some (a, l) := rfl theorem get_eq_iff : List.get l n = x ↔ l.get? n.1 = some x := by simp [get?_eq_some] theorem get?_inj (h₀ : i < xs.length) (h₁ : Nodup xs) (h₂ : xs.get? i = xs.get? j) : i = j := by induction xs generalizing i j with | nil => cases h₀ | cons x xs ih => match i, j with | 0, 0 => rfl | i+1, j+1 => simp; cases h₁ with | cons ha h₁ => exact ih (Nat.lt_of_succ_lt_succ h₀) h₁ h₂ | i+1, 0 => ?_ | 0, j+1 => ?_ all_goals simp at h₂ cases h₁; rename_i h' h have := h x ?_ rfl; cases this rw [mem_iff_get?] exact ⟨_, h₂⟩; exact ⟨_ , h₂.symm⟩ theorem tail_drop (l : List α) (n : Nat) : (l.drop n).tail = l.drop (n + 1) := by induction l generalizing n with | nil => simp | cons hd tl hl => cases n · simp · simp [hl] @[simp] theorem modifyNth_nil (f : α → α) (n) : [].modifyNth f n = [] := by cases n <;> rfl @[simp] theorem modifyNth_zero_cons (f : α → α) (a : α) (l : List α) : (a :: l).modifyNth f 0 = f a :: l := rfl @[simp] theorem modifyNth_succ_cons (f : α → α) (a : α) (l : List α) (n) : (a :: l).modifyNth f (n + 1) = a :: l.modifyNth f n := by rfl theorem modifyNthTail_id : ∀ n (l : List α), l.modifyNthTail id n = l | 0, _ => rfl | _+1, [] => rfl | n+1, a :: l => congrArg (cons a) (modifyNthTail_id n l) theorem eraseIdx_eq_modifyNthTail : ∀ n (l : List α), eraseIdx l n = modifyNthTail tail n l | 0, l => by cases l <;> rfl | n+1, [] => rfl | n+1, a :: l => congrArg (cons _) (eraseIdx_eq_modifyNthTail _ _) @[deprecated] alias removeNth_eq_nth_tail := eraseIdx_eq_modifyNthTail theorem get?_modifyNth (f : α → α) : ∀ n (l : List α) m, (modifyNth f n l).get? m = (fun a => if n = m then f a else a) <$> l.get? m | n, l, 0 => by cases l <;> cases n <;> rfl | n, [], _+1 => by cases n <;> rfl | 0, _ :: l, m+1 => by cases h : l.get? m <;> simp [h, modifyNth, m.succ_ne_zero.symm] | n+1, a :: l, m+1 => (get?_modifyNth f n l m).trans <| by cases h' : l.get? m <;> by_cases h : n = m <;> simp [h, if_pos, if_neg, Option.map, mt Nat.succ.inj, not_false_iff, h'] theorem modifyNthTail_length (f : List α → List α) (H : ∀ l, length (f l) = length l) : ∀ n l, length (modifyNthTail f n l) = length l | 0, _ => H _ | _+1, [] => rfl | _+1, _ :: _ => congrArg (·+1) (modifyNthTail_length _ H _ _) theorem modifyNthTail_add (f : List α → List α) (n) (l₁ l₂ : List α) : modifyNthTail f (l₁.length + n) (l₁ ++ l₂) = l₁ ++ modifyNthTail f n l₂ := by induction l₁ <;> simp [*, Nat.succ_add] theorem exists_of_modifyNthTail (f : List α → List α) {n} {l : List α} (h : n ≤ l.length) : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n ∧ modifyNthTail f n l = l₁ ++ f l₂ := have ⟨_, _, eq, hl⟩ : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n := ⟨_, _, (take_append_drop n l).symm, length_take_of_le h⟩ ⟨_, _, eq, hl, hl ▸ eq ▸ modifyNthTail_add (n := 0) ..⟩ @[simp] theorem modify_get?_length (f : α → α) : ∀ n l, length (modifyNth f n l) = length l := modifyNthTail_length _ fun l => by cases l <;> rfl @[simp] theorem get?_modifyNth_eq (f : α → α) (n) (l : List α) : (modifyNth f n l).get? n = f <$> l.get? n := by simp only [get?_modifyNth, if_pos] @[simp] theorem get?_modifyNth_ne (f : α → α) {m n} (l : List α) (h : m ≠ n) : (modifyNth f m l).get? n = l.get? n := by simp only [get?_modifyNth, if_neg h, id_map'] theorem exists_of_modifyNth (f : α → α) {n} {l : List α} (h : n < l.length) : ∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ modifyNth f n l = l₁ ++ f a :: l₂ := match exists_of_modifyNthTail _ (Nat.le_of_lt h) with | ⟨_, _::_, eq, hl, H⟩ => ⟨_, _, _, eq, hl, H⟩ | ⟨_, [], eq, hl, _⟩ => nomatch Nat.ne_of_gt h (eq ▸ append_nil _ ▸ hl) theorem modifyNthTail_eq_take_drop (f : List α → List α) (H : f [] = []) : ∀ n l, modifyNthTail f n l = take n l ++ f (drop n l) | 0, _ => rfl | _ + 1, [] => H.symm | n + 1, b :: l => congrArg (cons b) (modifyNthTail_eq_take_drop f H n l) theorem modifyNth_eq_take_drop (f : α → α) : ∀ n l, modifyNth f n l = take n l ++ modifyHead f (drop n l) := modifyNthTail_eq_take_drop _ rfl theorem modifyNth_eq_take_cons_drop (f : α → α) {n l} (h) : modifyNth f n l = take n l ++ f (get l ⟨n, h⟩) :: drop (n + 1) l := by rw [modifyNth_eq_take_drop, drop_eq_get_cons h]; rfl theorem set_eq_modifyNth (a : α) : ∀ n (l : List α), set l n a = modifyNth (fun _ => a) n l | 0, l => by cases l <;> rfl | n+1, [] => rfl | n+1, b :: l => congrArg (cons _) (set_eq_modifyNth _ _ _) theorem set_eq_take_cons_drop (a : α) {n l} (h : n < length l) : set l n a = take n l ++ a :: drop (n + 1) l := by rw [set_eq_modifyNth, modifyNth_eq_take_cons_drop _ h] theorem modifyNth_eq_set_get? (f : α → α) : ∀ n (l : List α), l.modifyNth f n = ((fun a => l.set n (f a)) <$> l.get? n).getD l | 0, l => by cases l <;> rfl | n+1, [] => rfl | n+1, b :: l => (congrArg (cons _) (modifyNth_eq_set_get? ..)).trans <| by cases h : l.get? n <;> simp [h] theorem modifyNth_eq_set_get (f : α → α) {n} {l : List α} (h) : l.modifyNth f n = l.set n (f (l.get ⟨n, h⟩)) := by rw [modifyNth_eq_set_get?, get?_eq_get h]; rfl theorem exists_of_set {l : List α} (h : n < l.length) : ∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ := by rw [set_eq_modifyNth]; exact exists_of_modifyNth _ h theorem exists_of_set' {l : List α} (h : n < l.length) : ∃ l₁ l₂, l = l₁ ++ l.get ⟨n, h⟩ :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ := have ⟨_, _, _, h₁, h₂, h₃⟩ := exists_of_set h; ⟨_, _, get_of_append h₁ h₂ ▸ h₁, h₂, h₃⟩ @[simp] theorem get?_set_eq (a : α) (n) (l : List α) : (set l n a).get? n = (fun _ => a) <$> l.get? n := by simp only [set_eq_modifyNth, get?_modifyNth_eq] theorem get?_set_eq_of_lt (a : α) {n} {l : List α} (h : n < length l) : (set l n a).get? n = some a := by rw [get?_set_eq, get?_eq_get h]; rfl @[simp] theorem get?_set_ne (a : α) {m n} (l : List α) (h : m ≠ n) : (set l m a).get? n = l.get? n := by simp only [set_eq_modifyNth, get?_modifyNth_ne _ _ h] theorem get?_set (a : α) {m n} (l : List α) : (set l m a).get? n = if m = n then (fun _ => a) <$> l.get? n else l.get? n := by by_cases m = n <;> simp [*, get?_set_eq, get?_set_ne] theorem get?_set_of_lt (a : α) {m n} (l : List α) (h : n < length l) : (set l m a).get? n = if m = n then some a else l.get? n := by simp [get?_set, get?_eq_get h] theorem get?_set_of_lt' (a : α) {m n} (l : List α) (h : m < length l) : (set l m a).get? n = if m = n then some a else l.get? n := by simp [get?_set]; split <;> subst_vars <;> simp [*, get?_eq_get h] theorem drop_set_of_lt (a : α) {n m : Nat} (l : List α) (h : n < m) : (l.set n a).drop m = l.drop m := List.ext fun i => by rw [get?_drop, get?_drop, get?_set_ne _ _ (by omega)] theorem take_set_of_lt (a : α) {n m : Nat} (l : List α) (h : m < n) : (l.set n a).take m = l.take m := List.ext fun i => by rw [get?_take_eq_if, get?_take_eq_if] split · next h' => rw [get?_set_ne _ _ (by omega)] · rfl theorem length_eraseIdx : ∀ {l i}, i < length l → length (@eraseIdx α l i) = length l - 1 | [], _, _ => rfl | _::_, 0, _ => by simp [eraseIdx] | x::xs, i+1, h => by have : i < length xs := Nat.lt_of_succ_lt_succ h simp [eraseIdx, ← Nat.add_one] rw [length_eraseIdx this, Nat.sub_add_cancel (Nat.lt_of_le_of_lt (Nat.zero_le _) this)] @[deprecated] alias length_removeNth := length_eraseIdx @[simp] theorem length_tail (l : List α) : length (tail l) = length l - 1 := by cases l <;> rfl @[simp] theorem eraseP_nil : [].eraseP p = [] := rfl theorem eraseP_cons (a : α) (l : List α) : (a :: l).eraseP p = bif p a then l else a :: l.eraseP p := rfl @[simp] theorem eraseP_cons_of_pos {l : List α} (p) (h : p a) : (a :: l).eraseP p = l := by simp [eraseP_cons, h] @[simp] theorem eraseP_cons_of_neg {l : List α} (p) (h : ¬p a) : (a :: l).eraseP p = a :: l.eraseP p := by simp [eraseP_cons, h] theorem eraseP_of_forall_not {l : List α} (h : ∀ a, a ∈ l → ¬p a) : l.eraseP p = l := by induction l with | nil => rfl | cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2] theorem exists_of_eraseP : ∀ {l : List α} {a} (al : a ∈ l) (pa : p a), ∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂ | b :: l, a, al, pa => if pb : p b then ⟨b, [], l, forall_mem_nil _, pb, by simp [pb]⟩ else match al with | .head .. => nomatch pb pa | .tail _ al => let ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_eraseP al pa ⟨c, b::l₁, l₂, (forall_mem_cons ..).2 ⟨pb, h₁⟩, h₂, by rw [h₃, cons_append], by simp [pb, h₄]⟩ theorem exists_or_eq_self_of_eraseP (p) (l : List α) : l.eraseP p = l ∨ ∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂ := if h : ∃ a ∈ l, p a then let ⟨_, ha, pa⟩ := h .inr (exists_of_eraseP ha pa) else .inl (eraseP_of_forall_not (h ⟨·, ·, ·⟩)) @[simp] theorem length_eraseP_of_mem (al : a ∈ l) (pa : p a) : length (l.eraseP p) = Nat.pred (length l) := by let ⟨_, l₁, l₂, _, _, e₁, e₂⟩ := exists_of_eraseP al pa rw [e₂]; simp [length_append, e₁]; rfl theorem eraseP_append_left {a : α} (pa : p a) : ∀ {l₁ : List α} l₂, a ∈ l₁ → (l₁++l₂).eraseP p = l₁.eraseP p ++ l₂ | x :: xs, l₂, h => by by_cases h' : p x <;> simp [h'] rw [eraseP_append_left pa l₂ ((mem_cons.1 h).resolve_left (mt _ h'))] intro | rfl => exact pa theorem eraseP_append_right : ∀ {l₁ : List α} l₂, (∀ b ∈ l₁, ¬p b) → eraseP p (l₁++l₂) = l₁ ++ l₂.eraseP p | [], l₂, _ => rfl | x :: xs, l₂, h => by simp [(forall_mem_cons.1 h).1, eraseP_append_right _ (forall_mem_cons.1 h).2] theorem eraseP_sublist (l : List α) : l.eraseP p <+ l := by match exists_or_eq_self_of_eraseP p l with | .inl h => rw [h]; apply Sublist.refl | .inr ⟨c, l₁, l₂, _, _, h₃, h₄⟩ => rw [h₄, h₃]; simp theorem eraseP_subset (l : List α) : l.eraseP p ⊆ l := (eraseP_sublist l).subset protected theorem Sublist.eraseP : l₁ <+ l₂ → l₁.eraseP p <+ l₂.eraseP p | .slnil => Sublist.refl _ | .cons a s => by by_cases h : p a <;> simp [h] exacts [s.eraseP.trans (eraseP_sublist _), s.eraseP.cons _] | .cons₂ a s => by by_cases h : p a <;> simp [h] exacts [s, s.eraseP] theorem mem_of_mem_eraseP {l : List α} : a ∈ l.eraseP p → a ∈ l := (eraseP_subset _ ·) @[simp] theorem mem_eraseP_of_neg {l : List α} (pa : ¬p a) : a ∈ l.eraseP p ↔ a ∈ l := by refine ⟨mem_of_mem_eraseP, fun al => ?_⟩ match exists_or_eq_self_of_eraseP p l with | .inl h => rw [h]; assumption | .inr ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ => rw [h₄]; rw [h₃] at al have : a ≠ c := fun h => (h ▸ pa).elim h₂ simp [this] at al; simp [al] theorem eraseP_map (f : β → α) : ∀ (l : List β), (map f l).eraseP p = map f (l.eraseP (p ∘ f)) | [] => rfl | b::l => by by_cases h : p (f b) <;> simp [h, eraseP_map f l, eraseP_cons_of_pos] @[simp] theorem extractP_eq_find?_eraseP (l : List α) : extractP p l = (find? p l, eraseP p l) := by let rec go (acc) : ∀ xs, l = acc.data ++ xs → extractP.go p l xs acc = (xs.find? p, acc.data ++ xs.eraseP p) | [] => fun h => by simp [extractP.go, find?, eraseP, h] | x::xs => by simp [extractP.go, find?, eraseP]; cases p x <;> simp · intro h; rw [go _ xs]; {simp}; simp [h] exact go #[] _ rfl @[simp] theorem filter_sublist {p : α → Bool} : ∀ (l : List α), filter p l <+ l | [] => .slnil | a :: l => by rw [filter]; split <;> simp [Sublist.cons, Sublist.cons₂, filter_sublist l] theorem length_filter_le (p : α → Bool) (l : List α) : (l.filter p).length ≤ l.length := (filter_sublist _).length_le theorem length_filterMap_le (f : α → Option β) (l : List α) : (filterMap f l).length ≤ l.length := by rw [← length_map _ some, map_filterMap_some_eq_filter_map_is_some, ← length_map _ f] apply length_filter_le protected theorem Sublist.filterMap (f : α → Option β) (s : l₁ <+ l₂) : filterMap f l₁ <+ filterMap f l₂ := by induction s <;> simp <;> split <;> simp [*, cons, cons₂] theorem Sublist.filter (p : α → Bool) {l₁ l₂} (s : l₁ <+ l₂) : filter p l₁ <+ filter p l₂ := by rw [← filterMap_eq_filter]; apply s.filterMap @[simp] theorem filter_eq_self {l} : filter p l = l ↔ ∀ a ∈ l, p a := by induction l with simp | cons a l ih => cases h : p a <;> simp [*] intro h; exact Nat.lt_irrefl _ (h ▸ length_filter_le p l) @[simp] theorem filter_length_eq_length {l} : (filter p l).length = l.length ↔ ∀ a ∈ l, p a := Iff.trans ⟨l.filter_sublist.eq_of_length, congrArg length⟩ filter_eq_self @[simp] theorem findIdx_nil {α : Type _} (p : α → Bool) : [].findIdx p = 0 := rfl theorem findIdx_cons (p : α → Bool) (b : α) (l : List α) : (b :: l).findIdx p = bif p b then 0 else (l.findIdx p) + 1 := by cases H : p b with | true => simp [H, findIdx, findIdx.go] | false => simp [H, findIdx, findIdx.go, findIdx_go_succ] where findIdx_go_succ (p : α → Bool) (l : List α) (n : Nat) : List.findIdx.go p l (n + 1) = (findIdx.go p l n) + 1 := by cases l with | nil => unfold findIdx.go; exact Nat.succ_eq_add_one n | cons head tail => unfold findIdx.go cases p head <;> simp only [cond_false, cond_true] exact findIdx_go_succ p tail (n + 1) theorem findIdx_of_get?_eq_some {xs : List α} (w : xs.get? (xs.findIdx p) = some y) : p y := by induction xs with | nil => simp_all | cons x xs ih => by_cases h : p x <;> simp_all [findIdx_cons] theorem findIdx_get {xs : List α} {w : xs.findIdx p < xs.length} : p (xs.get ⟨xs.findIdx p, w⟩) := xs.findIdx_of_get?_eq_some (get?_eq_get w) theorem findIdx_lt_length_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) : xs.findIdx p < xs.length := by induction xs with | nil => simp_all | cons x xs ih => by_cases p x · simp_all only [forall_exists_index, and_imp, mem_cons, exists_eq_or_imp, true_or, findIdx_cons, cond_true, length_cons] apply Nat.succ_pos · simp_all [findIdx_cons] refine Nat.succ_lt_succ ?_ obtain ⟨x', m', h'⟩ := h exact ih x' m' h' theorem findIdx_get?_eq_get_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) : xs.get? (xs.findIdx p) = some (xs.get ⟨xs.findIdx p, xs.findIdx_lt_length_of_exists h⟩) := get?_eq_get (findIdx_lt_length_of_exists h) @[simp] theorem findIdx?_nil : ([] : List α).findIdx? p i = none := rfl @[simp] theorem findIdx?_cons : (x :: xs).findIdx? p i = if p x then some i else findIdx? p xs (i + 1) := rfl @[simp] theorem findIdx?_succ : (xs : List α).findIdx? p (i+1) = (xs.findIdx? p i).map fun i => i + 1 := by induction xs generalizing i with simp | cons _ _ _ => split <;> simp_all theorem findIdx?_eq_some_iff (xs : List α) (p : α → Bool) : xs.findIdx? p = some i ↔ (xs.take (i + 1)).map p = replicate i false ++ [true] := by induction xs generalizing i with | nil => simp | cons x xs ih => simp only [findIdx?_cons, Nat.zero_add, findIdx?_succ, take_succ_cons, map_cons] split <;> cases i <;> simp_all theorem findIdx?_of_eq_some {xs : List α} {p : α → Bool} (w : xs.findIdx? p = some i) : match xs.get? i with | some a => p a | none => false := by induction xs generalizing i with | nil => simp_all | cons x xs ih => simp_all only [findIdx?_cons, Nat.zero_add, findIdx?_succ] split at w <;> cases i <;> simp_all theorem findIdx?_of_eq_none {xs : List α} {p : α → Bool} (w : xs.findIdx? p = none) : ∀ i, match xs.get? i with | some a => ¬ p a | none => true := by intro i induction xs generalizing i with | nil => simp_all | cons x xs ih => simp_all only [Bool.not_eq_true, findIdx?_cons, Nat.zero_add, findIdx?_succ] cases i with | zero => split at w <;> simp_all | succ i => simp only [get?_cons_succ] apply ih split at w <;> simp_all @[simp] theorem findIdx?_append : (xs ++ ys : List α).findIdx? p = (xs.findIdx? p <|> (ys.findIdx? p).map fun i => i + xs.length) := by induction xs with simp | cons _ _ _ => split <;> simp_all [Option.map_orElse, Option.map_map]; rfl @[simp] theorem findIdx?_replicate : (replicate n a).findIdx? p = if 0 < n ∧ p a then some 0 else none := by induction n with | zero => simp | succ n ih => simp only [replicate, findIdx?_cons, Nat.zero_add, findIdx?_succ, Nat.zero_lt_succ, true_and] split <;> simp_all theorem Pairwise.sublist : l₁ <+ l₂ → l₂.Pairwise R → l₁.Pairwise R | .slnil, h => h | .cons _ s, .cons _ h₂ => h₂.sublist s | .cons₂ _ s, .cons h₁ h₂ => (h₂.sublist s).cons fun _ h => h₁ _ (s.subset h) theorem pairwise_map {l : List α} : (l.map f).Pairwise R ↔ l.Pairwise fun a b => R (f a) (f b) := by induction l · simp · simp only [map, pairwise_cons, forall_mem_map_iff, *] theorem pairwise_append {l₁ l₂ : List α} : (l₁ ++ l₂).Pairwise R ↔ l₁.Pairwise R ∧ l₂.Pairwise R ∧ ∀ a ∈ l₁, ∀ b ∈ l₂, R a b := by induction l₁ <;> simp [*, or_imp, forall_and, and_assoc, and_left_comm] theorem pairwise_reverse {l : List α} : l.reverse.Pairwise R ↔ l.Pairwise (fun a b => R b a) := by induction l <;> simp [*, pairwise_append, and_comm] theorem Pairwise.imp {α R S} (H : ∀ {a b}, R a b → S a b) : ∀ {l : List α}, l.Pairwise R → l.Pairwise S | _, .nil => .nil | _, .cons h₁ h₂ => .cons (H ∘ h₁ ·) (h₂.imp H) theorem replaceF_nil : [].replaceF p = [] := rfl theorem replaceF_cons (a : α) (l : List α) : (a :: l).replaceF p = match p a with | none => a :: replaceF p l | some a' => a' :: l := rfl theorem replaceF_cons_of_some {l : List α} (p) (h : p a = some a') : (a :: l).replaceF p = a' :: l := by simp [replaceF_cons, h] theorem replaceF_cons_of_none {l : List α} (p) (h : p a = none) : (a :: l).replaceF p = a :: l.replaceF p := by simp [replaceF_cons, h] theorem replaceF_of_forall_none {l : List α} (h : ∀ a, a ∈ l → p a = none) : l.replaceF p = l := by induction l with | nil => rfl | cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2] theorem exists_of_replaceF : ∀ {l : List α} {a a'} (al : a ∈ l) (pa : p a = some a'), ∃ a a' l₁ l₂, (∀ b ∈ l₁, p b = none) ∧ p a = some a' ∧ l = l₁ ++ a :: l₂ ∧ l.replaceF p = l₁ ++ a' :: l₂ | b :: l, a, a', al, pa => match pb : p b with | some b' => ⟨b, b', [], l, forall_mem_nil _, pb, by simp [pb]⟩ | none => match al with | .head .. => nomatch pb.symm.trans pa | .tail _ al => let ⟨c, c', l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_replaceF al pa ⟨c, c', b::l₁, l₂, (forall_mem_cons ..).2 ⟨pb, h₁⟩, h₂, by rw [h₃, cons_append], by simp [pb, h₄]⟩ theorem exists_or_eq_self_of_replaceF (p) (l : List α) : l.replaceF p = l ∨ ∃ a a' l₁ l₂, (∀ b ∈ l₁, p b = none) ∧ p a = some a' ∧ l = l₁ ++ a :: l₂ ∧ l.replaceF p = l₁ ++ a' :: l₂ := if h : ∃ a ∈ l, (p a).isSome then let ⟨_, ha, pa⟩ := h .inr (exists_of_replaceF ha (Option.get_mem pa)) else .inl <| replaceF_of_forall_none fun a ha => Option.not_isSome_iff_eq_none.1 fun h' => h ⟨a, ha, h'⟩ @[simp] theorem length_replaceF : length (replaceF f l) = length l := by induction l <;> simp [replaceF]; split <;> simp [*] theorem disjoint_symm (d : Disjoint l₁ l₂) : Disjoint l₂ l₁ := fun _ i₂ i₁ => d i₁ i₂ theorem disjoint_comm : Disjoint l₁ l₂ ↔ Disjoint l₂ l₁ := ⟨disjoint_symm, disjoint_symm⟩ theorem disjoint_left : Disjoint l₁ l₂ ↔ ∀ ⦃a⦄, a ∈ l₁ → a ∉ l₂ := by simp [Disjoint] theorem disjoint_right : Disjoint l₁ l₂ ↔ ∀ ⦃a⦄, a ∈ l₂ → a ∉ l₁ := disjoint_comm theorem disjoint_iff_ne : Disjoint l₁ l₂ ↔ ∀ a ∈ l₁, ∀ b ∈ l₂, a ≠ b := ⟨fun h _ al1 _ bl2 ab => h al1 (ab ▸ bl2), fun h _ al1 al2 => h _ al1 _ al2 rfl⟩ theorem disjoint_of_subset_left (ss : l₁ ⊆ l) (d : Disjoint l l₂) : Disjoint l₁ l₂ := fun _ m => d (ss m) theorem disjoint_of_subset_right (ss : l₂ ⊆ l) (d : Disjoint l₁ l) : Disjoint l₁ l₂ := fun _ m m₁ => d m (ss m₁) theorem disjoint_of_disjoint_cons_left {l₁ l₂} : Disjoint (a :: l₁) l₂ → Disjoint l₁ l₂ := disjoint_of_subset_left (subset_cons _ _) theorem disjoint_of_disjoint_cons_right {l₁ l₂} : Disjoint l₁ (a :: l₂) → Disjoint l₁ l₂ := disjoint_of_subset_right (subset_cons _ _) @[simp] theorem disjoint_nil_left (l : List α) : Disjoint [] l := fun a => (not_mem_nil a).elim @[simp] theorem disjoint_nil_right (l : List α) : Disjoint l [] := by rw [disjoint_comm]; exact disjoint_nil_left _ @[simp 1100] theorem singleton_disjoint : Disjoint [a] l ↔ a ∉ l := by simp [Disjoint] @[simp 1100] theorem disjoint_singleton : Disjoint l [a] ↔ a ∉ l := by rw [disjoint_comm, singleton_disjoint] @[simp] theorem disjoint_append_left : Disjoint (l₁ ++ l₂) l ↔ Disjoint l₁ l ∧ Disjoint l₂ l := by simp [Disjoint, or_imp, forall_and] @[simp] theorem disjoint_append_right : Disjoint l (l₁ ++ l₂) ↔ Disjoint l l₁ ∧ Disjoint l l₂ := disjoint_comm.trans <| by rw [disjoint_append_left]; simp [disjoint_comm] @[simp] theorem disjoint_cons_left : Disjoint (a::l₁) l₂ ↔ (a ∉ l₂) ∧ Disjoint l₁ l₂ := (disjoint_append_left (l₁ := [a])).trans <| by simp [singleton_disjoint] @[simp] theorem disjoint_cons_right : Disjoint l₁ (a :: l₂) ↔ (a ∉ l₁) ∧ Disjoint l₁ l₂ := disjoint_comm.trans <| by rw [disjoint_cons_left]; simp [disjoint_comm] theorem disjoint_of_disjoint_append_left_left (d : Disjoint (l₁ ++ l₂) l) : Disjoint l₁ l := (disjoint_append_left.1 d).1 theorem disjoint_of_disjoint_append_left_right (d : Disjoint (l₁ ++ l₂) l) : Disjoint l₂ l := (disjoint_append_left.1 d).2 theorem disjoint_of_disjoint_append_right_left (d : Disjoint l (l₁ ++ l₂)) : Disjoint l l₁ := (disjoint_append_right.1 d).1 theorem disjoint_of_disjoint_append_right_right (d : Disjoint l (l₁ ++ l₂)) : Disjoint l l₂ := (disjoint_append_right.1 d).2 theorem foldl_hom (f : α₁ → α₂) (g₁ : α₁ → β → α₁) (g₂ : α₂ → β → α₂) (l : List β) (init : α₁) (H : ∀ x y, g₂ (f x) y = f (g₁ x y)) : l.foldl g₂ (f init) = f (l.foldl g₁ init) := by induction l generalizing init <;> simp [*, H] theorem foldr_hom (f : β₁ → β₂) (g₁ : α → β₁ → β₁) (g₂ : α → β₂ → β₂) (l : List α) (init : β₁) (H : ∀ x y, g₂ x (f y) = f (g₁ x y)) : l.foldr g₂ (f init) = f (l.foldr g₁ init) := by induction l <;> simp [*, H] theorem inter_def [BEq α] (l₁ l₂ : List α) : l₁ ∩ l₂ = filter (elem · l₂) l₁ := rfl @[simp] theorem mem_inter_iff [BEq α] [LawfulBEq α] {x : α} {l₁ l₂ : List α} : x ∈ l₁ ∩ l₂ ↔ x ∈ l₁ ∧ x ∈ l₂ := by cases l₁ <;> simp [List.inter_def, mem_filter] @[simp] theorem pair_mem_product {xs : List α} {ys : List β} {x : α} {y : β} : (x, y) ∈ product xs ys ↔ x ∈ xs ∧ y ∈ ys := by simp only [product, and_imp, mem_map, Prod.mk.injEq, exists_eq_right_right, mem_bind, iff_self] @[simp] theorem leftpad_length (n : Nat) (a : α) (l : List α) : (leftpad n a l).length = max n l.length := by simp only [leftpad, length_append, length_replicate, Nat.sub_add_eq_max] theorem leftpad_prefix (n : Nat) (a : α) (l : List α) : replicate (n - length l) a <+: leftpad n a l := by simp only [IsPrefix, leftpad] exact Exists.intro l rfl theorem leftpad_suffix (n : Nat) (a : α) (l : List α) : l <:+ (leftpad n a l) := by simp only [IsSuffix, leftpad] exact Exists.intro (replicate (n - length l) a) rfl -- we use ForIn.forIn as the simp normal form @[simp] theorem forIn_eq_forIn [Monad m] : @List.forIn α β m _ = forIn := rfl theorem forIn_eq_bindList [Monad m] [LawfulMonad m] (f : α → β → m (ForInStep β)) (l : List α) (init : β) : forIn l init f = ForInStep.run <$> (ForInStep.yield init).bindList f l := by induction l generalizing init <;> simp [*, map_eq_pure_bind] congr; ext (b | b) <;> simp @[simp] theorem forM_append [Monad m] [LawfulMonad m] (l₁ l₂ : List α) (f : α → m PUnit) : (l₁ ++ l₂).forM f = (do l₁.forM f; l₂.forM f) := by induction l₁ <;> simp [*] @[simp] theorem prefix_append (l₁ l₂ : List α) : l₁ <+: l₁ ++ l₂ := ⟨l₂, rfl⟩ @[simp] theorem suffix_append (l₁ l₂ : List α) : l₂ <:+ l₁ ++ l₂ := ⟨l₁, rfl⟩ theorem infix_append (l₁ l₂ l₃ : List α) : l₂ <:+: l₁ ++ l₂ ++ l₃ := ⟨l₁, l₃, rfl⟩ @[simp] theorem infix_append' (l₁ l₂ l₃ : List α) : l₂ <:+: l₁ ++ (l₂ ++ l₃) := by rw [← List.append_assoc]; apply infix_append theorem IsPrefix.isInfix : l₁ <+: l₂ → l₁ <:+: l₂ := fun ⟨t, h⟩ => ⟨[], t, h⟩ theorem IsSuffix.isInfix : l₁ <:+ l₂ → l₁ <:+: l₂ := fun ⟨t, h⟩ => ⟨t, [], by rw [h, append_nil]⟩ theorem nil_prefix (l : List α) : [] <+: l := ⟨l, rfl⟩ theorem nil_suffix (l : List α) : [] <:+ l := ⟨l, append_nil _⟩ theorem nil_infix (l : List α) : [] <:+: l := (nil_prefix _).isInfix theorem prefix_refl (l : List α) : l <+: l := ⟨[], append_nil _⟩ theorem suffix_refl (l : List α) : l <:+ l := ⟨[], rfl⟩ theorem infix_refl (l : List α) : l <:+: l := (prefix_refl l).isInfix @[simp] theorem suffix_cons (a : α) : ∀ l, l <:+ a :: l := suffix_append [a] theorem infix_cons : l₁ <:+: l₂ → l₁ <:+: a :: l₂ := fun ⟨L₁, L₂, h⟩ => ⟨a :: L₁, L₂, h ▸ rfl⟩ theorem infix_concat : l₁ <:+: l₂ → l₁ <:+: concat l₂ a := fun ⟨L₁, L₂, h⟩ => ⟨L₁, concat L₂ a, by simp [← h, concat_eq_append, append_assoc]⟩ theorem IsPrefix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <+: l₂ → l₂ <+: l₃ → l₁ <+: l₃ | _, _, _, ⟨r₁, rfl⟩, ⟨r₂, rfl⟩ => ⟨r₁ ++ r₂, (append_assoc _ _ _).symm⟩ theorem IsSuffix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <:+ l₂ → l₂ <:+ l₃ → l₁ <:+ l₃ | _, _, _, ⟨l₁, rfl⟩, ⟨l₂, rfl⟩ => ⟨l₂ ++ l₁, append_assoc _ _ _⟩ theorem IsInfix.trans : ∀ {l₁ l₂ l₃ : List α}, l₁ <:+: l₂ → l₂ <:+: l₃ → l₁ <:+: l₃ | l, _, _, ⟨l₁, r₁, rfl⟩, ⟨l₂, r₂, rfl⟩ => ⟨l₂ ++ l₁, r₁ ++ r₂, by simp only [append_assoc]⟩ protected theorem IsInfix.sublist : l₁ <:+: l₂ → l₁ <+ l₂ | ⟨_, _, h⟩ => h ▸ (sublist_append_right ..).trans (sublist_append_left ..) protected theorem IsInfix.subset (hl : l₁ <:+: l₂) : l₁ ⊆ l₂ := hl.sublist.subset protected theorem IsPrefix.sublist (h : l₁ <+: l₂) : l₁ <+ l₂ := h.isInfix.sublist protected theorem IsPrefix.subset (hl : l₁ <+: l₂) : l₁ ⊆ l₂ := hl.sublist.subset protected theorem IsSuffix.sublist (h : l₁ <:+ l₂) : l₁ <+ l₂ := h.isInfix.sublist protected theorem IsSuffix.subset (hl : l₁ <:+ l₂) : l₁ ⊆ l₂ := hl.sublist.subset @[simp] theorem reverse_suffix : reverse l₁ <:+ reverse l₂ ↔ l₁ <+: l₂ := ⟨fun ⟨r, e⟩ => ⟨reverse r, by rw [← reverse_reverse l₁, ← reverse_append, e, reverse_reverse]⟩, fun ⟨r, e⟩ => ⟨reverse r, by rw [← reverse_append, e]⟩⟩ @[simp] theorem reverse_prefix : reverse l₁ <+: reverse l₂ ↔ l₁ <:+ l₂ := by rw [← reverse_suffix]; simp only [reverse_reverse] @[simp] theorem reverse_infix : reverse l₁ <:+: reverse l₂ ↔ l₁ <:+: l₂ := by refine ⟨fun ⟨s, t, e⟩ => ⟨reverse t, reverse s, ?_⟩, fun ⟨s, t, e⟩ => ⟨reverse t, reverse s, ?_⟩⟩ · rw [← reverse_reverse l₁, append_assoc, ← reverse_append, ← reverse_append, e, reverse_reverse] · rw [append_assoc, ← reverse_append, ← reverse_append, e] theorem IsInfix.length_le (h : l₁ <:+: l₂) : l₁.length ≤ l₂.length := h.sublist.length_le theorem IsPrefix.length_le (h : l₁ <+: l₂) : l₁.length ≤ l₂.length := h.sublist.length_le theorem IsSuffix.length_le (h : l₁ <:+ l₂) : l₁.length ≤ l₂.length := h.sublist.length_le @[simp] theorem infix_nil : l <:+: [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ infix_refl _)⟩ @[simp] theorem prefix_nil : l <+: [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ prefix_refl _)⟩ @[simp] theorem suffix_nil : l <:+ [] ↔ l = [] := ⟨(sublist_nil.1 ·.sublist), (· ▸ suffix_refl _)⟩ theorem infix_iff_prefix_suffix (l₁ l₂ : List α) : l₁ <:+: l₂ ↔ ∃ t, l₁ <+: t ∧ t <:+ l₂ := ⟨fun ⟨_, t, e⟩ => ⟨l₁ ++ t, ⟨_, rfl⟩, e ▸ append_assoc .. ▸ ⟨_, rfl⟩⟩, fun ⟨_, ⟨t, rfl⟩, s, e⟩ => ⟨s, t, append_assoc .. ▸ e⟩⟩ theorem IsInfix.eq_of_length (h : l₁ <:+: l₂) : l₁.length = l₂.length → l₁ = l₂ := h.sublist.eq_of_length theorem IsPrefix.eq_of_length (h : l₁ <+: l₂) : l₁.length = l₂.length → l₁ = l₂ := h.sublist.eq_of_length theorem IsSuffix.eq_of_length (h : l₁ <:+ l₂) : l₁.length = l₂.length → l₁ = l₂ := h.sublist.eq_of_length theorem prefix_of_prefix_length_le : ∀ {l₁ l₂ l₃ : List α}, l₁ <+: l₃ → l₂ <+: l₃ → length l₁ ≤ length l₂ → l₁ <+: l₂ | [], l₂, _, _, _, _ => nil_prefix _ | a :: l₁, b :: l₂, _, ⟨r₁, rfl⟩, ⟨r₂, e⟩, ll => by injection e with _ e'; subst b rcases prefix_of_prefix_length_le ⟨_, rfl⟩ ⟨_, e'⟩ (le_of_succ_le_succ ll) with ⟨r₃, rfl⟩ exact ⟨r₃, rfl⟩ theorem prefix_or_prefix_of_prefix (h₁ : l₁ <+: l₃) (h₂ : l₂ <+: l₃) : l₁ <+: l₂ ∨ l₂ <+: l₁ := (Nat.le_total (length l₁) (length l₂)).imp (prefix_of_prefix_length_le h₁ h₂) (prefix_of_prefix_length_le h₂ h₁) theorem suffix_of_suffix_length_le (h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) (ll : length l₁ ≤ length l₂) : l₁ <:+ l₂ := reverse_prefix.1 <| prefix_of_prefix_length_le (reverse_prefix.2 h₁) (reverse_prefix.2 h₂) (by simp [ll]) theorem suffix_or_suffix_of_suffix (h₁ : l₁ <:+ l₃) (h₂ : l₂ <:+ l₃) : l₁ <:+ l₂ ∨ l₂ <:+ l₁ := (prefix_or_prefix_of_prefix (reverse_prefix.2 h₁) (reverse_prefix.2 h₂)).imp reverse_prefix.1 reverse_prefix.1 theorem suffix_cons_iff : l₁ <:+ a :: l₂ ↔ l₁ = a :: l₂ ∨ l₁ <:+ l₂ := by constructor · rintro ⟨⟨hd, tl⟩, hl₃⟩ · exact Or.inl hl₃ · simp only [cons_append] at hl₃ injection hl₃ with _ hl₄ exact Or.inr ⟨_, hl₄⟩ · rintro (rfl | hl₁) · exact (a :: l₂).suffix_refl · exact hl₁.trans (l₂.suffix_cons _) theorem infix_cons_iff : l₁ <:+: a :: l₂ ↔ l₁ <+: a :: l₂ ∨ l₁ <:+: l₂ := by constructor · rintro ⟨⟨hd, tl⟩, t, hl₃⟩ · exact Or.inl ⟨t, hl₃⟩ · simp only [cons_append] at hl₃ injection hl₃ with _ hl₄ exact Or.inr ⟨_, t, hl₄⟩ · rintro (h | hl₁) · exact h.isInfix · exact infix_cons hl₁ theorem infix_of_mem_join : ∀ {L : List (List α)}, l ∈ L → l <:+: join L | l' :: _, h => match h with | List.Mem.head .. => infix_append [] _ _ | List.Mem.tail _ hlMemL => IsInfix.trans (infix_of_mem_join hlMemL) <| (suffix_append _ _).isInfix theorem prefix_append_right_inj (l) : l ++ l₁ <+: l ++ l₂ ↔ l₁ <+: l₂ := exists_congr fun r => by rw [append_assoc, append_right_inj] @[simp] theorem prefix_cons_inj (a) : a :: l₁ <+: a :: l₂ ↔ l₁ <+: l₂ := prefix_append_right_inj [a] theorem take_prefix (n) (l : List α) : take n l <+: l := ⟨_, take_append_drop _ _⟩ theorem drop_suffix (n) (l : List α) : drop n l <:+ l := ⟨_, take_append_drop _ _⟩ theorem take_sublist (n) (l : List α) : take n l <+ l := (take_prefix n l).sublist theorem drop_sublist (n) (l : List α) : drop n l <+ l := (drop_suffix n l).sublist theorem take_subset (n) (l : List α) : take n l ⊆ l := (take_sublist n l).subset theorem drop_subset (n) (l : List α) : drop n l ⊆ l := (drop_sublist n l).subset theorem mem_of_mem_take {l : List α} (h : a ∈ l.take n) : a ∈ l := take_subset n l h theorem IsPrefix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <+: l₂) : l₁.filter p <+: l₂.filter p := by obtain ⟨xs, rfl⟩ := h rw [filter_append]; apply prefix_append theorem IsSuffix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <:+ l₂) : l₁.filter p <:+ l₂.filter p := by obtain ⟨xs, rfl⟩ := h rw [filter_append]; apply suffix_append theorem IsInfix.filter (p : α → Bool) ⦃l₁ l₂ : List α⦄ (h : l₁ <:+: l₂) : l₁.filter p <:+: l₂.filter p := by obtain ⟨xs, ys, rfl⟩ := h rw [filter_append, filter_append]; apply infix_append _ theorem mem_of_mem_drop {n} {l : List α} (h : a ∈ l.drop n) : a ∈ l := drop_subset _ _ h theorem disjoint_take_drop : ∀ {l : List α}, l.Nodup → m ≤ n → Disjoint (l.take m) (l.drop n) | [], _, _ => by simp | x :: xs, hl, h => by cases m <;> cases n <;> simp only [disjoint_cons_left, drop, not_mem_nil, disjoint_nil_left, take, not_false_eq_true, and_self] · case succ.zero => cases h · cases hl with | cons h₀ h₁ => refine ⟨fun h => h₀ _ (mem_of_mem_drop h) rfl, ?_⟩ exact disjoint_take_drop h₁ (Nat.le_of_succ_le_succ h) attribute [simp] Chain.nil @[simp] theorem chain_cons {a b : α} {l : List α} : Chain R a (b :: l) ↔ R a b ∧ Chain R b l := ⟨fun p => by cases p with | cons n p => exact ⟨n, p⟩, fun ⟨n, p⟩ => p.cons n⟩ theorem rel_of_chain_cons {a b : α} {l : List α} (p : Chain R a (b :: l)) : R a b := (chain_cons.1 p).1 theorem chain_of_chain_cons {a b : α} {l : List α} (p : Chain R a (b :: l)) : Chain R b l := (chain_cons.1 p).2 theorem Chain.imp' {R S : α → α → Prop} (HRS : ∀ ⦃a b⦄, R a b → S a b) {a b : α} (Hab : ∀ ⦃c⦄, R a c → S b c) {l : List α} (p : Chain R a l) : Chain S b l := by induction p generalizing b with | nil => constructor | cons r _ ih => constructor · exact Hab r · exact ih (@HRS _) theorem Chain.imp {R S : α → α → Prop} (H : ∀ a b, R a b → S a b) {a : α} {l : List α} (p : Chain R a l) : Chain S a l := p.imp' H (H a) protected theorem Pairwise.chain (p : Pairwise R (a :: l)) : Chain R a l := by let ⟨r, p'⟩ := pairwise_cons.1 p; clear p induction p' generalizing a with | nil => exact Chain.nil | @cons b l r' _ IH => simp only [chain_cons, forall_mem_cons] at r exact chain_cons.2 ⟨r.1, IH r'⟩ @[simp] theorem length_range' (s step) : ∀ n : Nat, length (range' s n step) = n | 0 => rfl | _ + 1 => congrArg succ (length_range' _ _ _) @[simp] theorem range'_eq_nil : range' s n step = [] ↔ n = 0 := by rw [← length_eq_zero, length_range'] theorem mem_range' : ∀{n}, m ∈ range' s n step ↔ ∃ i < n, m = s + step * i | 0 => by simp [range', Nat.not_lt_zero] | n + 1 => by have h (i) : i ≤ n ↔ i = 0 ∨ ∃ j, i = succ j ∧ j < n := by cases i <;> simp [Nat.succ_le] simp [range', mem_range', Nat.lt_succ, h]; simp only [← exists_and_right, and_assoc] rw [exists_comm]; simp [Nat.mul_succ, Nat.add_assoc, Nat.add_comm] @[simp] theorem mem_range'_1 : m ∈ range' s n ↔ s ≤ m ∧ m < s + n := by simp [mem_range']; exact ⟨ fun ⟨i, h, e⟩ => e ▸ ⟨Nat.le_add_right .., Nat.add_lt_add_left h _⟩, fun ⟨h₁, h₂⟩ => ⟨m - s, Nat.sub_lt_left_of_lt_add h₁ h₂, (Nat.add_sub_cancel' h₁).symm⟩⟩ @[simp] theorem map_add_range' (a) : ∀ s n step, map (a + ·) (range' s n step) = range' (a + s) n step | _, 0, _ => rfl | s, n + 1, step => by simp [range', map_add_range' _ (s + step) n step, Nat.add_assoc] theorem map_sub_range' (a s n : Nat) (h : a ≤ s) : map (· - a) (range' s n step) = range' (s - a) n step := by conv => lhs; rw [← Nat.add_sub_cancel' h] rw [← map_add_range', map_map, (?_ : _∘_ = _), map_id] funext x; apply Nat.add_sub_cancel_left theorem chain_succ_range' : ∀ s n step : Nat, Chain (fun a b => b = a + step) s (range' (s + step) n step) | _, 0, _ => Chain.nil | s, n + 1, step => (chain_succ_range' (s + step) n step).cons rfl theorem chain_lt_range' (s n : Nat) {step} (h : 0 < step) : Chain (· < ·) s (range' (s + step) n step) := (chain_succ_range' s n step).imp fun _ _ e => e.symm ▸ Nat.lt_add_of_pos_right h theorem range'_append : ∀ s m n step : Nat, range' s m step ++ range' (s + step * m) n step = range' s (n + m) step | s, 0, n, step => rfl | s, m + 1, n, step => by simpa [range', Nat.mul_succ, Nat.add_assoc, Nat.add_comm] using range'_append (s + step) m n step @[simp] theorem range'_append_1 (s m n : Nat) : range' s m ++ range' (s + m) n = range' s (n + m) := by simpa using range'_append s m n 1 theorem range'_sublist_right {s m n : Nat} : range' s m step <+ range' s n step ↔ m ≤ n := ⟨fun h => by simpa only [length_range'] using h.length_le, fun h => by rw [← Nat.sub_add_cancel h, ← range'_append]; apply sublist_append_left⟩ theorem range'_subset_right {s m n : Nat} (step0 : 0 < step) : range' s m step ⊆ range' s n step ↔ m ≤ n := by refine ⟨fun h => Nat.le_of_not_lt fun hn => ?_, fun h => (range'_sublist_right.2 h).subset⟩ have ⟨i, h', e⟩ := mem_range'.1 <| h <| mem_range'.2 ⟨_, hn, rfl⟩ exact Nat.ne_of_gt h' (Nat.eq_of_mul_eq_mul_left step0 (Nat.add_left_cancel e)) theorem range'_subset_right_1 {s m n : Nat} : range' s m ⊆ range' s n ↔ m ≤ n := range'_subset_right (by decide) theorem get?_range' (s step) : ∀ {m n : Nat}, m < n → get? (range' s n step) m = some (s + step * m) | 0, n + 1, _ => rfl | m + 1, n + 1, h => (get?_range' (s + step) step (Nat.lt_of_add_lt_add_right h)).trans <| by simp [Nat.mul_succ, Nat.add_assoc, Nat.add_comm] @[simp] theorem get_range' {n m step} (i) (H : i < (range' n m step).length) : get (range' n m step) ⟨i, H⟩ = n + step * i := (get?_eq_some.1 <| get?_range' n step (by simpa using H)).2 theorem range'_concat (s n : Nat) : range' s (n + 1) step = range' s n step ++ [s + step * n] := by rw [Nat.add_comm n 1]; exact (range'_append s n 1 step).symm theorem range'_1_concat (s n : Nat) : range' s (n + 1) = range' s n ++ [s + n] := by simp [range'_concat] theorem range_loop_range' : ∀ s n : Nat, range.loop s (range' s n) = range' 0 (n + s) | 0, n => rfl | s + 1, n => by rw [← Nat.add_assoc, Nat.add_right_comm n s 1]; exact range_loop_range' s (n + 1) theorem range_eq_range' (n : Nat) : range n = range' 0 n := (range_loop_range' n 0).trans <| by rw [Nat.zero_add] theorem range_succ_eq_map (n : Nat) : range (n + 1) = 0 :: map succ (range n) := by rw [range_eq_range', range_eq_range', range', Nat.add_comm, ← map_add_range'] congr; exact funext one_add
.lake/packages/batteries/Batteries/Data/List/Lemmas.lean
1,361
1,362
theorem range'_eq_map_range (s n : Nat) : range' s n = map (s + ·) (range n) := by
rw [range_eq_range', map_add_range']; rfl
import Mathlib.Algebra.Polynomial.FieldDivision import Mathlib.Algebra.Polynomial.Lifts import Mathlib.Data.List.Prime #align_import data.polynomial.splits from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" noncomputable section open Polynomial universe u v w variable {R : Type*} {F : Type u} {K : Type v} {L : Type w} namespace Polynomial open Polynomial section Splits section CommRing variable [CommRing K] [Field L] [Field F] variable (i : K →+* L) def Splits (f : K[X]) : Prop := f.map i = 0 ∨ ∀ {g : L[X]}, Irreducible g → g ∣ f.map i → degree g = 1 #align polynomial.splits Polynomial.Splits @[simp] theorem splits_zero : Splits i (0 : K[X]) := Or.inl (Polynomial.map_zero i) #align polynomial.splits_zero Polynomial.splits_zero theorem splits_of_map_eq_C {f : K[X]} {a : L} (h : f.map i = C a) : Splits i f := letI := Classical.decEq L if ha : a = 0 then Or.inl (h.trans (ha.symm ▸ C_0)) else Or.inr fun hg ⟨p, hp⟩ => absurd hg.1 <| Classical.not_not.2 <| isUnit_iff_degree_eq_zero.2 <| by have := congr_arg degree hp rw [h, degree_C ha, degree_mul, @eq_comm (WithBot ℕ) 0, Nat.WithBot.add_eq_zero_iff] at this exact this.1 set_option linter.uppercaseLean3 false in #align polynomial.splits_of_map_eq_C Polynomial.splits_of_map_eq_C @[simp] theorem splits_C (a : K) : Splits i (C a) := splits_of_map_eq_C i (map_C i) set_option linter.uppercaseLean3 false in #align polynomial.splits_C Polynomial.splits_C theorem splits_of_map_degree_eq_one {f : K[X]} (hf : degree (f.map i) = 1) : Splits i f := Or.inr fun hg ⟨p, hp⟩ => by have := congr_arg degree hp simp [Nat.WithBot.add_eq_one_iff, hf, @eq_comm (WithBot ℕ) 1, mt isUnit_iff_degree_eq_zero.2 hg.1] at this tauto #align polynomial.splits_of_map_degree_eq_one Polynomial.splits_of_map_degree_eq_one theorem splits_of_degree_le_one {f : K[X]} (hf : degree f ≤ 1) : Splits i f := if hif : degree (f.map i) ≤ 0 then splits_of_map_eq_C i (degree_le_zero_iff.mp hif) else by push_neg at hif rw [← Order.succ_le_iff, ← WithBot.coe_zero, WithBot.succ_coe, Nat.succ_eq_succ] at hif exact splits_of_map_degree_eq_one i (le_antisymm ((degree_map_le i _).trans hf) hif) #align polynomial.splits_of_degree_le_one Polynomial.splits_of_degree_le_one theorem splits_of_degree_eq_one {f : K[X]} (hf : degree f = 1) : Splits i f := splits_of_degree_le_one i hf.le #align polynomial.splits_of_degree_eq_one Polynomial.splits_of_degree_eq_one theorem splits_of_natDegree_le_one {f : K[X]} (hf : natDegree f ≤ 1) : Splits i f := splits_of_degree_le_one i (degree_le_of_natDegree_le hf) #align polynomial.splits_of_nat_degree_le_one Polynomial.splits_of_natDegree_le_one theorem splits_of_natDegree_eq_one {f : K[X]} (hf : natDegree f = 1) : Splits i f := splits_of_natDegree_le_one i (le_of_eq hf) #align polynomial.splits_of_nat_degree_eq_one Polynomial.splits_of_natDegree_eq_one theorem splits_mul {f g : K[X]} (hf : Splits i f) (hg : Splits i g) : Splits i (f * g) := letI := Classical.decEq L if h : (f * g).map i = 0 then Or.inl h else Or.inr @fun p hp hpf => ((irreducible_iff_prime.1 hp).2.2 _ _ (show p ∣ map i f * map i g by convert hpf; rw [Polynomial.map_mul])).elim (hf.resolve_left (fun hf => by simp [hf] at h) hp) (hg.resolve_left (fun hg => by simp [hg] at h) hp) #align polynomial.splits_mul Polynomial.splits_mul theorem splits_of_splits_mul' {f g : K[X]} (hfg : (f * g).map i ≠ 0) (h : Splits i (f * g)) : Splits i f ∧ Splits i g := ⟨Or.inr @fun g hgi hg => Or.resolve_left h hfg hgi (by rw [Polynomial.map_mul]; exact hg.trans (dvd_mul_right _ _)), Or.inr @fun g hgi hg => Or.resolve_left h hfg hgi (by rw [Polynomial.map_mul]; exact hg.trans (dvd_mul_left _ _))⟩ #align polynomial.splits_of_splits_mul' Polynomial.splits_of_splits_mul' theorem splits_map_iff (j : L →+* F) {f : K[X]} : Splits j (f.map i) ↔ Splits (j.comp i) f := by simp [Splits, Polynomial.map_map] #align polynomial.splits_map_iff Polynomial.splits_map_iff theorem splits_one : Splits i 1 := splits_C i 1 #align polynomial.splits_one Polynomial.splits_one theorem splits_of_isUnit [IsDomain K] {u : K[X]} (hu : IsUnit u) : u.Splits i := (isUnit_iff.mp hu).choose_spec.2 ▸ splits_C _ _ #align polynomial.splits_of_is_unit Polynomial.splits_of_isUnit theorem splits_X_sub_C {x : K} : (X - C x).Splits i := splits_of_degree_le_one _ <| degree_X_sub_C_le _ set_option linter.uppercaseLean3 false in #align polynomial.splits_X_sub_C Polynomial.splits_X_sub_C theorem splits_X : X.Splits i := splits_of_degree_le_one _ degree_X_le set_option linter.uppercaseLean3 false in #align polynomial.splits_X Polynomial.splits_X theorem splits_prod {ι : Type u} {s : ι → K[X]} {t : Finset ι} : (∀ j ∈ t, (s j).Splits i) → (∏ x ∈ t, s x).Splits i := by classical refine Finset.induction_on t (fun _ => splits_one i) fun a t hat ih ht => ?_ rw [Finset.forall_mem_insert] at ht; rw [Finset.prod_insert hat] exact splits_mul i ht.1 (ih ht.2) #align polynomial.splits_prod Polynomial.splits_prod theorem splits_pow {f : K[X]} (hf : f.Splits i) (n : ℕ) : (f ^ n).Splits i := by rw [← Finset.card_range n, ← Finset.prod_const] exact splits_prod i fun j _ => hf #align polynomial.splits_pow Polynomial.splits_pow theorem splits_X_pow (n : ℕ) : (X ^ n).Splits i := splits_pow i (splits_X i) n set_option linter.uppercaseLean3 false in #align polynomial.splits_X_pow Polynomial.splits_X_pow theorem splits_id_iff_splits {f : K[X]} : (f.map i).Splits (RingHom.id L) ↔ f.Splits i := by rw [splits_map_iff, RingHom.id_comp] #align polynomial.splits_id_iff_splits Polynomial.splits_id_iff_splits theorem exists_root_of_splits' {f : K[X]} (hs : Splits i f) (hf0 : degree (f.map i) ≠ 0) : ∃ x, eval₂ i x f = 0 := letI := Classical.decEq L if hf0' : f.map i = 0 then by simp [eval₂_eq_eval_map, hf0'] else let ⟨g, hg⟩ := WfDvdMonoid.exists_irreducible_factor (show ¬IsUnit (f.map i) from mt isUnit_iff_degree_eq_zero.1 hf0) hf0' let ⟨x, hx⟩ := exists_root_of_degree_eq_one (hs.resolve_left hf0' hg.1 hg.2) let ⟨i, hi⟩ := hg.2 ⟨x, by rw [← eval_map, hi, eval_mul, show _ = _ from hx, zero_mul]⟩ #align polynomial.exists_root_of_splits' Polynomial.exists_root_of_splits' theorem roots_ne_zero_of_splits' {f : K[X]} (hs : Splits i f) (hf0 : natDegree (f.map i) ≠ 0) : (f.map i).roots ≠ 0 := let ⟨x, hx⟩ := exists_root_of_splits' i hs fun h => hf0 <| natDegree_eq_of_degree_eq_some h fun h => by rw [← eval_map] at hx have : f.map i ≠ 0 := by intro; simp_all cases h.subst ((mem_roots this).2 hx) #align polynomial.roots_ne_zero_of_splits' Polynomial.roots_ne_zero_of_splits' def rootOfSplits' {f : K[X]} (hf : f.Splits i) (hfd : (f.map i).degree ≠ 0) : L := Classical.choose <| exists_root_of_splits' i hf hfd #align polynomial.root_of_splits' Polynomial.rootOfSplits' theorem map_rootOfSplits' {f : K[X]} (hf : f.Splits i) (hfd) : f.eval₂ i (rootOfSplits' i hf hfd) = 0 := Classical.choose_spec <| exists_root_of_splits' i hf hfd #align polynomial.map_root_of_splits' Polynomial.map_rootOfSplits' theorem natDegree_eq_card_roots' {p : K[X]} {i : K →+* L} (hsplit : Splits i p) : (p.map i).natDegree = Multiset.card (p.map i).roots := by by_cases hp : p.map i = 0 · rw [hp, natDegree_zero, roots_zero, Multiset.card_zero] obtain ⟨q, he, hd, hr⟩ := exists_prod_multiset_X_sub_C_mul (p.map i) rw [← splits_id_iff_splits, ← he] at hsplit rw [← he] at hp have hq : q ≠ 0 := fun h => hp (by rw [h, mul_zero]) rw [← hd, add_right_eq_self] by_contra h have h' : (map (RingHom.id L) q).natDegree ≠ 0 := by simp [h] have := roots_ne_zero_of_splits' (RingHom.id L) (splits_of_splits_mul' _ ?_ hsplit).2 h' · rw [map_id] at this exact this hr · rw [map_id] exact mul_ne_zero monic_prod_multiset_X_sub_C.ne_zero hq #align polynomial.nat_degree_eq_card_roots' Polynomial.natDegree_eq_card_roots'
Mathlib/Algebra/Polynomial/Splits.lean
219
221
theorem degree_eq_card_roots' {p : K[X]} {i : K →+* L} (p_ne_zero : p.map i ≠ 0) (hsplit : Splits i p) : (p.map i).degree = Multiset.card (p.map i).roots := by
simp [degree_eq_natDegree p_ne_zero, natDegree_eq_card_roots' hsplit]
import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Tactic.Ring #align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" open Finset namespace Nat variable (p : ℕ → Prop) section Count variable [DecidablePred p] def count (n : ℕ) : ℕ := (List.range n).countP p #align nat.count Nat.count @[simp] theorem count_zero : count p 0 = 0 := by rw [count, List.range_zero, List.countP, List.countP.go] #align nat.count_zero Nat.count_zero def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by apply Fintype.ofFinset ((Finset.range n).filter p) intro x rw [mem_filter, mem_range] rfl #align nat.count_set.fintype Nat.CountSet.fintype scoped[Count] attribute [instance] Nat.CountSet.fintype open Count
Mathlib/Data/Nat/Count.lean
54
56
theorem count_eq_card_filter_range (n : ℕ) : count p n = ((range n).filter p).card := by
rw [count, List.countP_eq_length_filter] rfl
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 Append def append {α : Type*} (a : Fin m → α) (b : Fin n → α) : Fin (m + n) → α := @Fin.addCases _ _ (fun _ => α) a b #align fin.append Fin.append @[simp] theorem append_left {α : Type*} (u : Fin m → α) (v : Fin n → α) (i : Fin m) : append u v (Fin.castAdd n i) = u i := addCases_left _ #align fin.append_left Fin.append_left @[simp] theorem append_right {α : Type*} (u : Fin m → α) (v : Fin n → α) (i : Fin n) : append u v (natAdd m i) = v i := addCases_right _ #align fin.append_right Fin.append_right theorem append_right_nil {α : Type*} (u : Fin m → α) (v : Fin n → α) (hv : n = 0) : append u v = u ∘ Fin.cast (by rw [hv, Nat.add_zero]) := by refine funext (Fin.addCases (fun l => ?_) fun r => ?_) · rw [append_left, Function.comp_apply] refine congr_arg u (Fin.ext ?_) simp · exact (Fin.cast hv r).elim0 #align fin.append_right_nil Fin.append_right_nil @[simp] theorem append_elim0 {α : Type*} (u : Fin m → α) : append u Fin.elim0 = u ∘ Fin.cast (Nat.add_zero _) := append_right_nil _ _ rfl #align fin.append_elim0 Fin.append_elim0 theorem append_left_nil {α : Type*} (u : Fin m → α) (v : Fin n → α) (hu : m = 0) : append u v = v ∘ Fin.cast (by rw [hu, Nat.zero_add]) := by refine funext (Fin.addCases (fun l => ?_) fun r => ?_) · exact (Fin.cast hu l).elim0 · rw [append_right, Function.comp_apply] refine congr_arg v (Fin.ext ?_) simp [hu] #align fin.append_left_nil Fin.append_left_nil @[simp] theorem elim0_append {α : Type*} (v : Fin n → α) : append Fin.elim0 v = v ∘ Fin.cast (Nat.zero_add _) := append_left_nil _ _ rfl #align fin.elim0_append Fin.elim0_append theorem append_assoc {p : ℕ} {α : Type*} (a : Fin m → α) (b : Fin n → α) (c : Fin p → α) : append (append a b) c = append a (append b c) ∘ Fin.cast (Nat.add_assoc ..) := by ext i rw [Function.comp_apply] refine Fin.addCases (fun l => ?_) (fun r => ?_) i · rw [append_left] refine Fin.addCases (fun ll => ?_) (fun lr => ?_) l · rw [append_left] simp [castAdd_castAdd] · rw [append_right] simp [castAdd_natAdd] · rw [append_right] simp [← natAdd_natAdd] #align fin.append_assoc Fin.append_assoc
Mathlib/Data/Fin/Tuple/Basic.lean
358
367
theorem append_left_eq_cons {α : Type*} {n : ℕ} (x₀ : Fin 1 → α) (x : Fin n → α) : Fin.append x₀ x = Fin.cons (x₀ 0) x ∘ Fin.cast (Nat.add_comm ..) := by
ext i refine Fin.addCases ?_ ?_ i <;> clear i · intro i rw [Subsingleton.elim i 0, Fin.append_left, Function.comp_apply, eq_comm] exact Fin.cons_zero _ _ · intro i rw [Fin.append_right, Function.comp_apply, Fin.cast_natAdd, eq_comm, Fin.addNat_one] exact Fin.cons_succ _ _ _
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)
Mathlib/RingTheory/HahnSeries/Basic.lean
272
275
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)
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 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⟩ #align ereal.eq_bot_iff_forall_lt EReal.eq_bot_iff_forall_lt lemma exists_between_coe_real {x z : EReal} (h : x < z) : ∃ y : ℝ, x < y ∧ y < z := by obtain ⟨a, ha₁, ha₂⟩ := exists_between h induction a with | h_bot => exact (not_lt_bot ha₁).elim | h_real a₀ => exact ⟨a₀, ha₁, ha₂⟩ | h_top => exact (not_top_lt ha₂).elim @[simp] lemma image_coe_Icc (x y : ℝ) : Real.toEReal '' Icc x y = Icc ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Icc, WithBot.image_coe_Icc] rfl @[simp] lemma image_coe_Ico (x y : ℝ) : Real.toEReal '' Ico x y = Ico ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ico, WithBot.image_coe_Ico] rfl @[simp] lemma image_coe_Ici (x : ℝ) : Real.toEReal '' Ici x = Ico ↑x ⊤ := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ici, WithBot.image_coe_Ico] rfl @[simp] lemma image_coe_Ioc (x y : ℝ) : Real.toEReal '' Ioc x y = Ioc ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ioc, WithBot.image_coe_Ioc] rfl @[simp] lemma image_coe_Ioo (x y : ℝ) : Real.toEReal '' Ioo x y = Ioo ↑x ↑y := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ioo, WithBot.image_coe_Ioo] rfl @[simp] lemma image_coe_Ioi (x : ℝ) : Real.toEReal '' Ioi x = Ioo ↑x ⊤ := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Ioi, WithBot.image_coe_Ioo] rfl @[simp] lemma image_coe_Iic (x : ℝ) : Real.toEReal '' Iic x = Ioc ⊥ ↑x := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Iic, WithBot.image_coe_Iic] rfl @[simp] lemma image_coe_Iio (x : ℝ) : Real.toEReal '' Iio x = Ioo ⊥ ↑x := by refine (image_comp WithBot.some WithTop.some _).trans ?_ rw [WithTop.image_coe_Iio, WithBot.image_coe_Iio] rfl @[simp] lemma preimage_coe_Ici (x : ℝ) : Real.toEReal ⁻¹' Ici x = Ici x := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Ici (WithBot.some (WithTop.some x))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Ici, WithTop.preimage_coe_Ici] @[simp] lemma preimage_coe_Ioi (x : ℝ) : Real.toEReal ⁻¹' Ioi x = Ioi x := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Ioi (WithBot.some (WithTop.some x))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Ioi, WithTop.preimage_coe_Ioi] @[simp] lemma preimage_coe_Ioi_bot : Real.toEReal ⁻¹' Ioi ⊥ = univ := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Ioi ⊥) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Ioi_bot, preimage_univ] @[simp] lemma preimage_coe_Iic (y : ℝ) : Real.toEReal ⁻¹' Iic y = Iic y := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Iic (WithBot.some (WithTop.some y))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Iic, WithTop.preimage_coe_Iic] @[simp] lemma preimage_coe_Iio (y : ℝ) : Real.toEReal ⁻¹' Iio y = Iio y := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Iio (WithBot.some (WithTop.some y))) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Iio, WithTop.preimage_coe_Iio] @[simp] lemma preimage_coe_Iio_top : Real.toEReal ⁻¹' Iio ⊤ = univ := by change (WithBot.some ∘ WithTop.some) ⁻¹' (Iio (WithBot.some ⊤)) = _ refine preimage_comp.trans ?_ simp only [WithBot.preimage_coe_Iio, WithTop.preimage_coe_Iio_top] @[simp] lemma preimage_coe_Icc (x y : ℝ) : Real.toEReal ⁻¹' Icc x y = Icc x y := by simp_rw [← Ici_inter_Iic] simp @[simp] lemma preimage_coe_Ico (x y : ℝ) : Real.toEReal ⁻¹' Ico x y = Ico x y := by simp_rw [← Ici_inter_Iio] simp @[simp] lemma preimage_coe_Ioc (x y : ℝ) : Real.toEReal ⁻¹' Ioc x y = Ioc x y := by simp_rw [← Ioi_inter_Iic] simp @[simp] lemma preimage_coe_Ioo (x y : ℝ) : Real.toEReal ⁻¹' Ioo x y = Ioo x y := by simp_rw [← Ioi_inter_Iio] simp @[simp] lemma preimage_coe_Ico_top (x : ℝ) : Real.toEReal ⁻¹' Ico x ⊤ = Ici x := by rw [← Ici_inter_Iio] simp @[simp] lemma preimage_coe_Ioo_top (x : ℝ) : Real.toEReal ⁻¹' Ioo x ⊤ = Ioi x := by rw [← Ioi_inter_Iio] simp @[simp] lemma preimage_coe_Ioc_bot (y : ℝ) : Real.toEReal ⁻¹' Ioc ⊥ y = Iic y := by rw [← Ioi_inter_Iic] simp @[simp] lemma preimage_coe_Ioo_bot (y : ℝ) : Real.toEReal ⁻¹' Ioo ⊥ y = Iio y := by rw [← Ioi_inter_Iio] simp @[simp] lemma preimage_coe_Ioo_bot_top : Real.toEReal ⁻¹' Ioo ⊥ ⊤ = univ := by rw [← Ioi_inter_Iio] simp @[simp] theorem toReal_coe_ennreal : ∀ {x : ℝ≥0∞}, toReal (x : EReal) = ENNReal.toReal x | ⊤ => rfl | .some _ => rfl #align ereal.to_real_coe_ennreal EReal.toReal_coe_ennreal @[simp] theorem coe_ennreal_ofReal {x : ℝ} : (ENNReal.ofReal x : EReal) = max x 0 := rfl #align ereal.coe_ennreal_of_real EReal.coe_ennreal_ofReal theorem coe_nnreal_eq_coe_real (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) = (x : ℝ) := rfl #align ereal.coe_nnreal_eq_coe_real EReal.coe_nnreal_eq_coe_real @[simp, norm_cast] theorem coe_ennreal_zero : ((0 : ℝ≥0∞) : EReal) = 0 := rfl #align ereal.coe_ennreal_zero EReal.coe_ennreal_zero @[simp, norm_cast] theorem coe_ennreal_one : ((1 : ℝ≥0∞) : EReal) = 1 := rfl #align ereal.coe_ennreal_one EReal.coe_ennreal_one @[simp, norm_cast] theorem coe_ennreal_top : ((⊤ : ℝ≥0∞) : EReal) = ⊤ := rfl #align ereal.coe_ennreal_top EReal.coe_ennreal_top theorem coe_ennreal_strictMono : StrictMono ((↑) : ℝ≥0∞ → EReal) := WithTop.strictMono_iff.2 ⟨fun _ _ => EReal.coe_lt_coe_iff.2, fun _ => coe_lt_top _⟩ #align ereal.coe_ennreal_strict_mono EReal.coe_ennreal_strictMono theorem coe_ennreal_injective : Injective ((↑) : ℝ≥0∞ → EReal) := coe_ennreal_strictMono.injective #align ereal.coe_ennreal_injective EReal.coe_ennreal_injective @[simp] theorem coe_ennreal_eq_top_iff {x : ℝ≥0∞} : (x : EReal) = ⊤ ↔ x = ⊤ := coe_ennreal_injective.eq_iff' rfl #align ereal.coe_ennreal_eq_top_iff EReal.coe_ennreal_eq_top_iff theorem coe_nnreal_ne_top (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) ≠ ⊤ := coe_ne_top x #align ereal.coe_nnreal_ne_top EReal.coe_nnreal_ne_top @[simp] theorem coe_nnreal_lt_top (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) < ⊤ := coe_lt_top x #align ereal.coe_nnreal_lt_top EReal.coe_nnreal_lt_top @[simp, norm_cast] theorem coe_ennreal_le_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) ≤ (y : EReal) ↔ x ≤ y := coe_ennreal_strictMono.le_iff_le #align ereal.coe_ennreal_le_coe_ennreal_iff EReal.coe_ennreal_le_coe_ennreal_iff @[simp, norm_cast] theorem coe_ennreal_lt_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) < (y : EReal) ↔ x < y := coe_ennreal_strictMono.lt_iff_lt #align ereal.coe_ennreal_lt_coe_ennreal_iff EReal.coe_ennreal_lt_coe_ennreal_iff @[simp, norm_cast] theorem coe_ennreal_eq_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) = (y : EReal) ↔ x = y := coe_ennreal_injective.eq_iff #align ereal.coe_ennreal_eq_coe_ennreal_iff EReal.coe_ennreal_eq_coe_ennreal_iff theorem coe_ennreal_ne_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) ≠ (y : EReal) ↔ x ≠ y := coe_ennreal_injective.ne_iff #align ereal.coe_ennreal_ne_coe_ennreal_iff EReal.coe_ennreal_ne_coe_ennreal_iff @[simp, norm_cast] theorem coe_ennreal_eq_zero {x : ℝ≥0∞} : (x : EReal) = 0 ↔ x = 0 := by rw [← coe_ennreal_eq_coe_ennreal_iff, coe_ennreal_zero] #align ereal.coe_ennreal_eq_zero EReal.coe_ennreal_eq_zero @[simp, norm_cast] theorem coe_ennreal_eq_one {x : ℝ≥0∞} : (x : EReal) = 1 ↔ x = 1 := by rw [← coe_ennreal_eq_coe_ennreal_iff, coe_ennreal_one] #align ereal.coe_ennreal_eq_one EReal.coe_ennreal_eq_one @[norm_cast] theorem coe_ennreal_ne_zero {x : ℝ≥0∞} : (x : EReal) ≠ 0 ↔ x ≠ 0 := coe_ennreal_eq_zero.not #align ereal.coe_ennreal_ne_zero EReal.coe_ennreal_ne_zero @[norm_cast] theorem coe_ennreal_ne_one {x : ℝ≥0∞} : (x : EReal) ≠ 1 ↔ x ≠ 1 := coe_ennreal_eq_one.not #align ereal.coe_ennreal_ne_one EReal.coe_ennreal_ne_one theorem coe_ennreal_nonneg (x : ℝ≥0∞) : (0 : EReal) ≤ x := coe_ennreal_le_coe_ennreal_iff.2 (zero_le x) #align ereal.coe_ennreal_nonneg EReal.coe_ennreal_nonneg @[simp] theorem range_coe_ennreal : range ((↑) : ℝ≥0∞ → EReal) = Set.Ici 0 := Subset.antisymm (range_subset_iff.2 coe_ennreal_nonneg) fun x => match x with | ⊥ => fun h => absurd h bot_lt_zero.not_le | ⊤ => fun _ => ⟨⊤, rfl⟩ | (x : ℝ) => fun h => ⟨.some ⟨x, EReal.coe_nonneg.1 h⟩, rfl⟩ instance : CanLift EReal ℝ≥0∞ (↑) (0 ≤ ·) := ⟨range_coe_ennreal.ge⟩ @[simp, norm_cast] theorem coe_ennreal_pos {x : ℝ≥0∞} : (0 : EReal) < x ↔ 0 < x := by rw [← coe_ennreal_zero, coe_ennreal_lt_coe_ennreal_iff] #align ereal.coe_ennreal_pos EReal.coe_ennreal_pos @[simp] theorem bot_lt_coe_ennreal (x : ℝ≥0∞) : (⊥ : EReal) < x := (bot_lt_coe 0).trans_le (coe_ennreal_nonneg _) #align ereal.bot_lt_coe_ennreal EReal.bot_lt_coe_ennreal @[simp] theorem coe_ennreal_ne_bot (x : ℝ≥0∞) : (x : EReal) ≠ ⊥ := (bot_lt_coe_ennreal x).ne' #align ereal.coe_ennreal_ne_bot EReal.coe_ennreal_ne_bot @[simp, norm_cast] theorem coe_ennreal_add (x y : ENNReal) : ((x + y : ℝ≥0∞) : EReal) = x + y := by cases x <;> cases y <;> rfl #align ereal.coe_ennreal_add EReal.coe_ennreal_add private theorem coe_ennreal_top_mul (x : ℝ≥0) : ((⊤ * x : ℝ≥0∞) : EReal) = ⊤ * x := by rcases eq_or_ne x 0 with (rfl | h0) · simp · rw [ENNReal.top_mul (ENNReal.coe_ne_zero.2 h0)] exact Eq.symm <| if_pos <| NNReal.coe_pos.2 h0.bot_lt @[simp, norm_cast] theorem coe_ennreal_mul : ∀ x y : ℝ≥0∞, ((x * y : ℝ≥0∞) : EReal) = (x : EReal) * y | ⊤, ⊤ => rfl | ⊤, (y : ℝ≥0) => coe_ennreal_top_mul y | (x : ℝ≥0), ⊤ => by rw [mul_comm, coe_ennreal_top_mul, EReal.mul_comm, coe_ennreal_top] | (x : ℝ≥0), (y : ℝ≥0) => by simp only [← ENNReal.coe_mul, coe_nnreal_eq_coe_real, NNReal.coe_mul, EReal.coe_mul] #align ereal.coe_ennreal_mul EReal.coe_ennreal_mul @[norm_cast] theorem coe_ennreal_nsmul (n : ℕ) (x : ℝ≥0∞) : (↑(n • x) : EReal) = n • (x : EReal) := map_nsmul (⟨⟨(↑), coe_ennreal_zero⟩, coe_ennreal_add⟩ : ℝ≥0∞ →+ EReal) _ _ #align ereal.coe_ennreal_nsmul EReal.coe_ennreal_nsmul #noalign ereal.coe_ennreal_bit0 #noalign ereal.coe_ennreal_bit1 theorem exists_rat_btwn_of_lt : ∀ {a b : EReal}, a < b → ∃ x : ℚ, a < (x : ℝ) ∧ ((x : ℝ) : EReal) < b | ⊤, b, h => (not_top_lt h).elim | (a : ℝ), ⊥, h => (lt_irrefl _ ((bot_lt_coe a).trans h)).elim | (a : ℝ), (b : ℝ), h => by simp [exists_rat_btwn (EReal.coe_lt_coe_iff.1 h)] | (a : ℝ), ⊤, _ => let ⟨b, hab⟩ := exists_rat_gt a ⟨b, by simpa using hab, coe_lt_top _⟩ | ⊥, ⊥, h => (lt_irrefl _ h).elim | ⊥, (a : ℝ), _ => let ⟨b, hab⟩ := exists_rat_lt a ⟨b, bot_lt_coe _, by simpa using hab⟩ | ⊥, ⊤, _ => ⟨0, bot_lt_coe _, coe_lt_top _⟩ #align ereal.exists_rat_btwn_of_lt EReal.exists_rat_btwn_of_lt theorem lt_iff_exists_rat_btwn {a b : EReal} : a < b ↔ ∃ x : ℚ, a < (x : ℝ) ∧ ((x : ℝ) : EReal) < b := ⟨fun hab => exists_rat_btwn_of_lt hab, fun ⟨_x, ax, xb⟩ => ax.trans xb⟩ #align ereal.lt_iff_exists_rat_btwn EReal.lt_iff_exists_rat_btwn theorem lt_iff_exists_real_btwn {a b : EReal} : a < b ↔ ∃ x : ℝ, a < x ∧ (x : EReal) < b := ⟨fun hab => let ⟨x, ax, xb⟩ := exists_rat_btwn_of_lt hab ⟨(x : ℝ), ax, xb⟩, fun ⟨_x, ax, xb⟩ => ax.trans xb⟩ #align ereal.lt_iff_exists_real_btwn EReal.lt_iff_exists_real_btwn def neTopBotEquivReal : ({⊥, ⊤}ᶜ : Set EReal) ≃ ℝ where toFun x := EReal.toReal x invFun x := ⟨x, by simp⟩ left_inv := fun ⟨x, hx⟩ => by lift x to ℝ · simpa [not_or, and_comm] using hx · simp right_inv x := by simp #align ereal.ne_top_bot_equiv_real EReal.neTopBotEquivReal @[simp] theorem add_bot (x : EReal) : x + ⊥ = ⊥ := WithBot.add_bot _ #align ereal.add_bot EReal.add_bot @[simp] theorem bot_add (x : EReal) : ⊥ + x = ⊥ := WithBot.bot_add _ #align ereal.bot_add EReal.bot_add @[simp] theorem add_eq_bot_iff {x y : EReal} : x + y = ⊥ ↔ x = ⊥ ∨ y = ⊥ := WithBot.add_eq_bot #align ereal.add_eq_bot_iff EReal.add_eq_bot_iff @[simp] theorem bot_lt_add_iff {x y : EReal} : ⊥ < x + y ↔ ⊥ < x ∧ ⊥ < y := by simp [bot_lt_iff_ne_bot, not_or] #align ereal.bot_lt_add_iff EReal.bot_lt_add_iff @[simp] theorem top_add_top : (⊤ : EReal) + ⊤ = ⊤ := rfl #align ereal.top_add_top EReal.top_add_top @[simp] theorem top_add_coe (x : ℝ) : (⊤ : EReal) + x = ⊤ := rfl #align ereal.top_add_coe EReal.top_add_coe @[simp] theorem coe_add_top (x : ℝ) : (x : EReal) + ⊤ = ⊤ := rfl #align ereal.coe_add_top EReal.coe_add_top theorem toReal_add {x y : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) (hy : y ≠ ⊤) (h'y : y ≠ ⊥) : toReal (x + y) = toReal x + toReal y := by lift x to ℝ using ⟨hx, h'x⟩ lift y to ℝ using ⟨hy, h'y⟩ rfl #align ereal.to_real_add EReal.toReal_add theorem addLECancellable_coe (x : ℝ) : AddLECancellable (x : EReal) | _, ⊤, _ => le_top | ⊥, _, _ => bot_le | ⊤, (z : ℝ), h => by simp only [coe_add_top, ← coe_add, top_le_iff, coe_ne_top] at h | _, ⊥, h => by simpa using h | (y : ℝ), (z : ℝ), h => by simpa only [← coe_add, EReal.coe_le_coe_iff, add_le_add_iff_left] using h -- Porting note (#11215): TODO: add `MulLECancellable.strictMono*` etc theorem add_lt_add_right_coe {x y : EReal} (h : x < y) (z : ℝ) : x + z < y + z := not_le.1 <| mt (addLECancellable_coe z).add_le_add_iff_right.1 h.not_le #align ereal.add_lt_add_right_coe EReal.add_lt_add_right_coe theorem add_lt_add_left_coe {x y : EReal} (h : x < y) (z : ℝ) : (z : EReal) + x < z + y := by simpa [add_comm] using add_lt_add_right_coe h z #align ereal.add_lt_add_left_coe EReal.add_lt_add_left_coe theorem add_lt_add {x y z t : EReal} (h1 : x < y) (h2 : z < t) : x + z < y + t := by rcases eq_or_ne x ⊥ with (rfl | hx) · simp [h1, bot_le.trans_lt h2] · lift x to ℝ using ⟨h1.ne_top, hx⟩ calc (x : EReal) + z < x + t := add_lt_add_left_coe h2 _ _ ≤ y + t := add_le_add_right h1.le _ #align ereal.add_lt_add EReal.add_lt_add theorem add_lt_add_of_lt_of_le' {x y z t : EReal} (h : x < y) (h' : z ≤ t) (hbot : t ≠ ⊥) (htop : t = ⊤ → z = ⊤ → x = ⊥) : x + z < y + t := by rcases h'.eq_or_lt with (rfl | hlt) · rcases eq_or_ne z ⊤ with (rfl | hz) · obtain rfl := htop rfl rfl simpa lift z to ℝ using ⟨hz, hbot⟩ exact add_lt_add_right_coe h z · exact add_lt_add h hlt theorem add_lt_add_of_lt_of_le {x y z t : EReal} (h : x < y) (h' : z ≤ t) (hz : z ≠ ⊥) (ht : t ≠ ⊤) : x + z < y + t := add_lt_add_of_lt_of_le' h h' (ne_bot_of_le_ne_bot hz h') fun ht' => (ht ht').elim #align ereal.add_lt_add_of_lt_of_le EReal.add_lt_add_of_lt_of_le theorem add_lt_top {x y : EReal} (hx : x ≠ ⊤) (hy : y ≠ ⊤) : x + y < ⊤ := by rw [← EReal.top_add_top] exact EReal.add_lt_add hx.lt_top hy.lt_top #align ereal.add_lt_top EReal.add_lt_top instance : LinearOrderedAddCommMonoidWithTop ERealᵒᵈ where le_top := by simp top_add' := by rw [OrderDual.forall] intro x rw [← OrderDual.toDual_bot, ← toDual_add, bot_add, OrderDual.toDual_bot] protected def neg : EReal → EReal | ⊥ => ⊤ | ⊤ => ⊥ | (x : ℝ) => (-x : ℝ) #align ereal.neg EReal.neg instance : Neg EReal := ⟨EReal.neg⟩ instance : SubNegZeroMonoid EReal where neg_zero := congr_arg Real.toEReal neg_zero zsmul := zsmulRec @[simp] theorem neg_top : -(⊤ : EReal) = ⊥ := rfl #align ereal.neg_top EReal.neg_top @[simp] theorem neg_bot : -(⊥ : EReal) = ⊤ := rfl #align ereal.neg_bot EReal.neg_bot @[simp, norm_cast] theorem coe_neg (x : ℝ) : (↑(-x) : EReal) = -↑x := rfl #align ereal.coe_neg EReal.coe_neg #align ereal.neg_def EReal.coe_neg @[simp, norm_cast] theorem coe_sub (x y : ℝ) : (↑(x - y) : EReal) = x - y := rfl #align ereal.coe_sub EReal.coe_sub @[norm_cast] theorem coe_zsmul (n : ℤ) (x : ℝ) : (↑(n • x) : EReal) = n • (x : EReal) := map_zsmul' (⟨⟨(↑), coe_zero⟩, coe_add⟩ : ℝ →+ EReal) coe_neg _ _ #align ereal.coe_zsmul EReal.coe_zsmul instance : InvolutiveNeg EReal where neg_neg a := match a with | ⊥ => rfl | ⊤ => rfl | (a : ℝ) => congr_arg Real.toEReal (neg_neg a) @[simp] theorem toReal_neg : ∀ {a : EReal}, toReal (-a) = -toReal a | ⊤ => by simp | ⊥ => by simp | (x : ℝ) => rfl #align ereal.to_real_neg EReal.toReal_neg @[simp] theorem neg_eq_top_iff {x : EReal} : -x = ⊤ ↔ x = ⊥ := neg_injective.eq_iff' rfl #align ereal.neg_eq_top_iff EReal.neg_eq_top_iff @[simp] theorem neg_eq_bot_iff {x : EReal} : -x = ⊥ ↔ x = ⊤ := neg_injective.eq_iff' rfl #align ereal.neg_eq_bot_iff EReal.neg_eq_bot_iff @[simp] theorem neg_eq_zero_iff {x : EReal} : -x = 0 ↔ x = 0 := neg_injective.eq_iff' neg_zero #align ereal.neg_eq_zero_iff EReal.neg_eq_zero_iff theorem neg_strictAnti : StrictAnti (- · : EReal → EReal) := WithBot.strictAnti_iff.2 ⟨WithTop.strictAnti_iff.2 ⟨coe_strictMono.comp_strictAnti fun _ _ => neg_lt_neg, fun _ => bot_lt_coe _⟩, WithTop.forall.2 ⟨bot_lt_top, fun _ => coe_lt_top _⟩⟩ @[simp] theorem neg_le_neg_iff {a b : EReal} : -a ≤ -b ↔ b ≤ a := neg_strictAnti.le_iff_le #align ereal.neg_le_neg_iff EReal.neg_le_neg_iff -- Porting note (#10756): new lemma @[simp] theorem neg_lt_neg_iff {a b : EReal} : -a < -b ↔ b < a := neg_strictAnti.lt_iff_lt protected theorem neg_le {a b : EReal} : -a ≤ b ↔ -b ≤ a := by rw [← neg_le_neg_iff, neg_neg] #align ereal.neg_le EReal.neg_le protected theorem neg_le_of_neg_le {a b : EReal} (h : -a ≤ b) : -b ≤ a := EReal.neg_le.mp h #align ereal.neg_le_of_neg_le EReal.neg_le_of_neg_le theorem le_neg_of_le_neg {a b : EReal} (h : a ≤ -b) : b ≤ -a := by rwa [← neg_neg b, EReal.neg_le, neg_neg] #align ereal.le_neg_of_le_neg EReal.le_neg_of_le_neg def negOrderIso : EReal ≃o ERealᵒᵈ := { Equiv.neg EReal with toFun := fun x => OrderDual.toDual (-x) invFun := fun x => -OrderDual.ofDual x map_rel_iff' := neg_le_neg_iff } #align ereal.neg_order_iso EReal.negOrderIso theorem neg_lt_iff_neg_lt {a b : EReal} : -a < b ↔ -b < a := by rw [← neg_lt_neg_iff, neg_neg] #align ereal.neg_lt_iff_neg_lt EReal.neg_lt_iff_neg_lt theorem neg_lt_of_neg_lt {a b : EReal} (h : -a < b) : -b < a := neg_lt_iff_neg_lt.1 h #align ereal.neg_lt_of_neg_lt EReal.neg_lt_of_neg_lt @[simp] theorem bot_sub (x : EReal) : ⊥ - x = ⊥ := bot_add x #align ereal.bot_sub EReal.bot_sub @[simp] theorem sub_top (x : EReal) : x - ⊤ = ⊥ := add_bot x #align ereal.sub_top EReal.sub_top @[simp] theorem top_sub_bot : (⊤ : EReal) - ⊥ = ⊤ := rfl #align ereal.top_sub_bot EReal.top_sub_bot @[simp] theorem top_sub_coe (x : ℝ) : (⊤ : EReal) - x = ⊤ := rfl #align ereal.top_sub_coe EReal.top_sub_coe @[simp] theorem coe_sub_bot (x : ℝ) : (x : EReal) - ⊥ = ⊤ := rfl #align ereal.coe_sub_bot EReal.coe_sub_bot theorem sub_le_sub {x y z t : EReal} (h : x ≤ y) (h' : t ≤ z) : x - z ≤ y - t := add_le_add h (neg_le_neg_iff.2 h') #align ereal.sub_le_sub EReal.sub_le_sub theorem sub_lt_sub_of_lt_of_le {x y z t : EReal} (h : x < y) (h' : z ≤ t) (hz : z ≠ ⊥) (ht : t ≠ ⊤) : x - t < y - z := add_lt_add_of_lt_of_le h (neg_le_neg_iff.2 h') (by simp [ht]) (by simp [hz]) #align ereal.sub_lt_sub_of_lt_of_le EReal.sub_lt_sub_of_lt_of_le theorem coe_real_ereal_eq_coe_toNNReal_sub_coe_toNNReal (x : ℝ) : (x : EReal) = Real.toNNReal x - Real.toNNReal (-x) := by rcases le_total 0 x with (h | h) · lift x to ℝ≥0 using h rw [Real.toNNReal_of_nonpos (neg_nonpos.mpr x.coe_nonneg), Real.toNNReal_coe, ENNReal.coe_zero, coe_ennreal_zero, sub_zero] rfl · rw [Real.toNNReal_of_nonpos h, ENNReal.coe_zero, coe_ennreal_zero, coe_nnreal_eq_coe_real, Real.coe_toNNReal, zero_sub, coe_neg, neg_neg] exact neg_nonneg.2 h #align ereal.coe_real_ereal_eq_coe_to_nnreal_sub_coe_to_nnreal EReal.coe_real_ereal_eq_coe_toNNReal_sub_coe_toNNReal theorem toReal_sub {x y : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) (hy : y ≠ ⊤) (h'y : y ≠ ⊥) : toReal (x - y) = toReal x - toReal y := by lift x to ℝ using ⟨hx, h'x⟩ lift y to ℝ using ⟨hy, h'y⟩ rfl #align ereal.to_real_sub EReal.toReal_sub @[simp] theorem top_mul_top : (⊤ : EReal) * ⊤ = ⊤ := rfl #align ereal.top_mul_top EReal.top_mul_top @[simp] theorem top_mul_bot : (⊤ : EReal) * ⊥ = ⊥ := rfl #align ereal.top_mul_bot EReal.top_mul_bot @[simp] theorem bot_mul_top : (⊥ : EReal) * ⊤ = ⊥ := rfl #align ereal.bot_mul_top EReal.bot_mul_top @[simp] theorem bot_mul_bot : (⊥ : EReal) * ⊥ = ⊤ := rfl #align ereal.bot_mul_bot EReal.bot_mul_bot theorem coe_mul_top_of_pos {x : ℝ} (h : 0 < x) : (x : EReal) * ⊤ = ⊤ := if_pos h #align ereal.coe_mul_top_of_pos EReal.coe_mul_top_of_pos theorem coe_mul_top_of_neg {x : ℝ} (h : x < 0) : (x : EReal) * ⊤ = ⊥ := (if_neg h.not_lt).trans (if_neg h.ne) #align ereal.coe_mul_top_of_neg EReal.coe_mul_top_of_neg theorem top_mul_coe_of_pos {x : ℝ} (h : 0 < x) : (⊤ : EReal) * x = ⊤ := if_pos h #align ereal.top_mul_coe_of_pos EReal.top_mul_coe_of_pos theorem top_mul_coe_of_neg {x : ℝ} (h : x < 0) : (⊤ : EReal) * x = ⊥ := (if_neg h.not_lt).trans (if_neg h.ne) #align ereal.top_mul_coe_of_neg EReal.top_mul_coe_of_neg theorem mul_top_of_pos : ∀ {x : EReal}, 0 < x → x * ⊤ = ⊤ | ⊥, h => absurd h not_lt_bot | (x : ℝ), h => coe_mul_top_of_pos (EReal.coe_pos.1 h) | ⊤, _ => rfl #align ereal.mul_top_of_pos EReal.mul_top_of_pos theorem mul_top_of_neg : ∀ {x : EReal}, x < 0 → x * ⊤ = ⊥ | ⊥, _ => rfl | (x : ℝ), h => coe_mul_top_of_neg (EReal.coe_neg'.1 h) | ⊤, h => absurd h not_top_lt #align ereal.mul_top_of_neg EReal.mul_top_of_neg theorem top_mul_of_pos {x : EReal} (h : 0 < x) : ⊤ * x = ⊤ := by rw [EReal.mul_comm] exact mul_top_of_pos h #align ereal.top_mul_of_pos EReal.top_mul_of_pos theorem top_mul_of_neg {x : EReal} (h : x < 0) : ⊤ * x = ⊥ := by rw [EReal.mul_comm] exact mul_top_of_neg h #align ereal.top_mul_of_neg EReal.top_mul_of_neg theorem coe_mul_bot_of_pos {x : ℝ} (h : 0 < x) : (x : EReal) * ⊥ = ⊥ := if_pos h #align ereal.coe_mul_bot_of_pos EReal.coe_mul_bot_of_pos theorem coe_mul_bot_of_neg {x : ℝ} (h : x < 0) : (x : EReal) * ⊥ = ⊤ := (if_neg h.not_lt).trans (if_neg h.ne) #align ereal.coe_mul_bot_of_neg EReal.coe_mul_bot_of_neg theorem bot_mul_coe_of_pos {x : ℝ} (h : 0 < x) : (⊥ : EReal) * x = ⊥ := if_pos h #align ereal.bot_mul_coe_of_pos EReal.bot_mul_coe_of_pos theorem bot_mul_coe_of_neg {x : ℝ} (h : x < 0) : (⊥ : EReal) * x = ⊤ := (if_neg h.not_lt).trans (if_neg h.ne) #align ereal.bot_mul_coe_of_neg EReal.bot_mul_coe_of_neg theorem mul_bot_of_pos : ∀ {x : EReal}, 0 < x → x * ⊥ = ⊥ | ⊥, h => absurd h not_lt_bot | (x : ℝ), h => coe_mul_bot_of_pos (EReal.coe_pos.1 h) | ⊤, _ => rfl #align ereal.mul_bot_of_pos EReal.mul_bot_of_pos theorem mul_bot_of_neg : ∀ {x : EReal}, x < 0 → x * ⊥ = ⊤ | ⊥, _ => rfl | (x : ℝ), h => coe_mul_bot_of_neg (EReal.coe_neg'.1 h) | ⊤, h => absurd h not_top_lt #align ereal.mul_bot_of_neg EReal.mul_bot_of_neg theorem bot_mul_of_pos {x : EReal} (h : 0 < x) : ⊥ * x = ⊥ := by rw [EReal.mul_comm] exact mul_bot_of_pos h #align ereal.bot_mul_of_pos EReal.bot_mul_of_pos theorem bot_mul_of_neg {x : EReal} (h : x < 0) : ⊥ * x = ⊤ := by rw [EReal.mul_comm] exact mul_bot_of_neg h #align ereal.bot_mul_of_neg EReal.bot_mul_of_neg theorem toReal_mul {x y : EReal} : toReal (x * y) = toReal x * toReal y := by induction x, y using induction₂_symm with | top_zero | zero_bot | top_top | top_bot | bot_bot => simp | symm h => rwa [mul_comm, EReal.mul_comm] | coe_coe => norm_cast | top_pos _ h => simp [top_mul_coe_of_pos h] | top_neg _ h => simp [top_mul_coe_of_neg h] | pos_bot _ h => simp [coe_mul_bot_of_pos h] | neg_bot _ h => simp [coe_mul_bot_of_neg h] #align ereal.to_real_mul EReal.toReal_mul @[elab_as_elim] theorem induction₂_neg_left {P : EReal → EReal → Prop} (neg_left : ∀ {x y}, P x y → P (-x) y) (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 ⊤ ⊥) (zero_top : P 0 ⊤) (zero_bot : P 0 ⊥) (pos_top : ∀ x : ℝ, 0 < x → P x ⊤) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥) (coe_coe : ∀ x y : ℝ, P x y) : ∀ x y, P x y := have : ∀ y, (∀ x : ℝ, 0 < x → P x y) → ∀ x : ℝ, x < 0 → P x y := fun _ h x hx => neg_neg (x : EReal) ▸ neg_left <| h _ (neg_pos_of_neg hx) @induction₂ P top_top top_pos top_zero top_neg top_bot pos_top pos_bot zero_top coe_coe zero_bot (this _ pos_top) (this _ pos_bot) (neg_left top_top) (fun x hx => neg_left <| top_pos x hx) (neg_left top_zero) (fun x hx => neg_left <| top_neg x hx) (neg_left top_bot) @[elab_as_elim] theorem induction₂_symm_neg {P : EReal → EReal → Prop} (symm : ∀ {x y}, P x y → P y x) (neg_left : ∀ {x y}, P x y → P (-x) y) (top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0) (coe_coe : ∀ x y : ℝ, P x y) : ∀ x y, P x y := have neg_right : ∀ {x y}, P x y → P x (-y) := fun h => symm <| neg_left <| symm h have : ∀ x, (∀ y : ℝ, 0 < y → P x y) → ∀ y : ℝ, y < 0 → P x y := fun _ h y hy => neg_neg (y : EReal) ▸ neg_right (h _ (neg_pos_of_neg hy)) @induction₂_neg_left P neg_left top_top top_pos top_zero (this _ top_pos) (neg_right top_top) (symm top_zero) (symm <| neg_left top_zero) (fun x hx => symm <| top_pos x hx) (fun x hx => symm <| neg_left <| top_pos x hx) coe_coe protected theorem neg_mul (x y : EReal) : -x * y = -(x * y) := by induction x, y using induction₂_neg_left with | top_zero | zero_top | zero_bot => simp only [zero_mul, mul_zero, neg_zero] | top_top | top_bot => rfl | neg_left h => rw [h, neg_neg, neg_neg] | coe_coe => norm_cast; exact neg_mul _ _ | top_pos _ h => rw [top_mul_coe_of_pos h, neg_top, bot_mul_coe_of_pos h] | pos_top _ h => rw [coe_mul_top_of_pos h, neg_top, ← coe_neg, coe_mul_top_of_neg (neg_neg_of_pos h)] | top_neg _ h => rw [top_mul_coe_of_neg h, neg_top, bot_mul_coe_of_neg h, neg_bot] | pos_bot _ h => rw [coe_mul_bot_of_pos h, neg_bot, ← coe_neg, coe_mul_bot_of_neg (neg_neg_of_pos h)] #align ereal.neg_mul EReal.neg_mul instance : HasDistribNeg EReal where neg_mul := EReal.neg_mul mul_neg := fun x y => by rw [x.mul_comm, x.mul_comm] exact y.neg_mul x -- Porting note (#11215): TODO: use `Real.nnabs` for the case `(x : ℝ)` protected def abs : EReal → ℝ≥0∞ | ⊥ => ⊤ | ⊤ => ⊤ | (x : ℝ) => ENNReal.ofReal |x| #align ereal.abs EReal.abs @[simp] theorem abs_top : (⊤ : EReal).abs = ⊤ := rfl #align ereal.abs_top EReal.abs_top @[simp] theorem abs_bot : (⊥ : EReal).abs = ⊤ := rfl #align ereal.abs_bot EReal.abs_bot theorem abs_def (x : ℝ) : (x : EReal).abs = ENNReal.ofReal |x| := rfl #align ereal.abs_def EReal.abs_def theorem abs_coe_lt_top (x : ℝ) : (x : EReal).abs < ⊤ := ENNReal.ofReal_lt_top #align ereal.abs_coe_lt_top EReal.abs_coe_lt_top @[simp] theorem abs_eq_zero_iff {x : EReal} : x.abs = 0 ↔ x = 0 := by induction x · simp only [abs_bot, ENNReal.top_ne_zero, bot_ne_zero] · simp only [abs_def, coe_eq_zero, ENNReal.ofReal_eq_zero, abs_nonpos_iff] · simp only [abs_top, ENNReal.top_ne_zero, top_ne_zero] #align ereal.abs_eq_zero_iff EReal.abs_eq_zero_iff @[simp] theorem abs_zero : (0 : EReal).abs = 0 := by rw [abs_eq_zero_iff] #align ereal.abs_zero EReal.abs_zero @[simp] theorem coe_abs (x : ℝ) : ((x : EReal).abs : EReal) = (|x| : ℝ) := by rw [abs_def, ← Real.coe_nnabs, ENNReal.ofReal_coe_nnreal]; rfl #align ereal.coe_abs EReal.coe_abs @[simp] protected theorem abs_neg : ∀ x : EReal, (-x).abs = x.abs | ⊤ => rfl | ⊥ => rfl | (x : ℝ) => by rw [abs_def, ← coe_neg, abs_def, abs_neg] @[simp] theorem abs_mul (x y : EReal) : (x * y).abs = x.abs * y.abs := by induction x, y using induction₂_symm_neg with | top_zero => simp only [zero_mul, mul_zero, abs_zero] | top_top => rfl | symm h => rwa [mul_comm, EReal.mul_comm] | coe_coe => simp only [← coe_mul, abs_def, _root_.abs_mul, ENNReal.ofReal_mul (abs_nonneg _)] | top_pos _ h => rw [top_mul_coe_of_pos h, abs_top, ENNReal.top_mul] rw [Ne, abs_eq_zero_iff, coe_eq_zero] exact h.ne' | neg_left h => rwa [neg_mul, EReal.abs_neg, EReal.abs_neg] #align ereal.abs_mul EReal.abs_mul open SignType (sign) theorem sign_top : sign (⊤ : EReal) = 1 := rfl #align ereal.sign_top EReal.sign_top theorem sign_bot : sign (⊥ : EReal) = -1 := rfl #align ereal.sign_bot EReal.sign_bot @[simp]
Mathlib/Data/Real/EReal.lean
1,264
1,265
theorem sign_coe (x : ℝ) : sign (x : EReal) = sign x := by
simp only [sign, OrderHom.coe_mk, EReal.coe_pos, EReal.coe_neg']
import Mathlib.Data.Fintype.Card import Mathlib.Computability.Language import Mathlib.Tactic.NormNum #align_import computability.DFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514" open Computability universe u v -- Porting note: Required as `DFA` is used in mathlib3 set_option linter.uppercaseLean3 false structure DFA (α : Type u) (σ : Type v) where step : σ → α → σ start : σ accept : Set σ #align DFA DFA namespace DFA variable {α : Type u} {σ : Type v} (M : DFA α σ) instance [Inhabited σ] : Inhabited (DFA α σ) := ⟨DFA.mk (fun _ _ => default) default ∅⟩ def evalFrom (start : σ) : List α → σ := List.foldl M.step start #align DFA.eval_from DFA.evalFrom @[simp] theorem evalFrom_nil (s : σ) : M.evalFrom s [] = s := rfl #align DFA.eval_from_nil DFA.evalFrom_nil @[simp] theorem evalFrom_singleton (s : σ) (a : α) : M.evalFrom s [a] = M.step s a := rfl #align DFA.eval_from_singleton DFA.evalFrom_singleton @[simp] theorem evalFrom_append_singleton (s : σ) (x : List α) (a : α) : M.evalFrom s (x ++ [a]) = M.step (M.evalFrom s x) a := by simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil] #align DFA.eval_from_append_singleton DFA.evalFrom_append_singleton def eval : List α → σ := M.evalFrom M.start #align DFA.eval DFA.eval @[simp] theorem eval_nil : M.eval [] = M.start := rfl #align DFA.eval_nil DFA.eval_nil @[simp] theorem eval_singleton (a : α) : M.eval [a] = M.step M.start a := rfl #align DFA.eval_singleton DFA.eval_singleton @[simp] theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.step (M.eval x) a := evalFrom_append_singleton _ _ _ _ #align DFA.eval_append_singleton DFA.eval_append_singleton theorem evalFrom_of_append (start : σ) (x y : List α) : M.evalFrom start (x ++ y) = M.evalFrom (M.evalFrom start x) y := x.foldl_append _ _ y #align DFA.eval_from_of_append DFA.evalFrom_of_append def accepts : Language α := {x | M.eval x ∈ M.accept} #align DFA.accepts DFA.accepts theorem mem_accepts (x : List α) : x ∈ M.accepts ↔ M.evalFrom M.start x ∈ M.accept := by rfl #align DFA.mem_accepts DFA.mem_accepts theorem evalFrom_split [Fintype σ] {x : List α} {s t : σ} (hlen : Fintype.card σ ≤ x.length) (hx : M.evalFrom s x = t) : ∃ q a b c, x = a ++ b ++ c ∧ a.length + b.length ≤ Fintype.card σ ∧ b ≠ [] ∧ M.evalFrom s a = q ∧ M.evalFrom q b = q ∧ M.evalFrom q c = t := by obtain ⟨n, m, hneq, heq⟩ := Fintype.exists_ne_map_eq_of_card_lt (fun n : Fin (Fintype.card σ + 1) => M.evalFrom s (x.take n)) (by norm_num) wlog hle : (n : ℕ) ≤ m · exact this _ hlen hx _ _ hneq.symm heq.symm (le_of_not_le hle) have hm : (m : ℕ) ≤ Fintype.card σ := Fin.is_le m refine ⟨M.evalFrom s ((x.take m).take n), (x.take m).take n, (x.take m).drop n, x.drop m, ?_, ?_, ?_, by rfl, ?_⟩ · rw [List.take_append_drop, List.take_append_drop] · simp only [List.length_drop, List.length_take] rw [min_eq_left (hm.trans hlen), min_eq_left hle, add_tsub_cancel_of_le hle] exact hm · intro h have hlen' := congr_arg List.length h simp only [List.length_drop, List.length, List.length_take] at hlen' rw [min_eq_left, tsub_eq_zero_iff_le] at hlen' · apply hneq apply le_antisymm assumption' exact hm.trans hlen have hq : M.evalFrom (M.evalFrom s ((x.take m).take n)) ((x.take m).drop n) = M.evalFrom s ((x.take m).take n) := by rw [List.take_take, min_eq_left hle, ← evalFrom_of_append, heq, ← min_eq_left hle, ← List.take_take, min_eq_left hle, List.take_append_drop] use hq rwa [← hq, ← evalFrom_of_append, ← evalFrom_of_append, ← List.append_assoc, List.take_append_drop, List.take_append_drop] #align DFA.eval_from_split DFA.evalFrom_split
Mathlib/Computability/DFA.lean
137
148
theorem evalFrom_of_pow {x y : List α} {s : σ} (hx : M.evalFrom s x = s) (hy : y ∈ ({x} : Language α)∗) : M.evalFrom s y = s := by
rw [Language.mem_kstar] at hy rcases hy with ⟨S, rfl, hS⟩ induction' S with a S ih · rfl · have ha := hS a (List.mem_cons_self _ _) rw [Set.mem_singleton_iff] at ha rw [List.join, evalFrom_of_append, ha, hx] apply ih intro z hz exact hS z (List.mem_cons_of_mem a hz)
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.Convex.Complex #align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16" noncomputable section open Real Set MeasureTheory Filter Asymptotics open scoped Real Topology open Complex hiding exp abs_of_nonneg theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) : (fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by rw [isLittleO_exp_comp_exp_comp] suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by refine Tendsto.congr' ?_ this refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_) rw [mem_Ioi] at hx rw [rpow_sub_one hx.ne'] field_simp [hx.ne'] ring apply Tendsto.atTop_mul_atTop tendsto_id refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_ exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith)) theorem exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) : (fun x : ℝ => exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-x) := by simp_rw [← rpow_two] exact exp_neg_mul_rpow_isLittleO_exp_neg hb one_lt_two #align exp_neg_mul_sq_is_o_exp_neg exp_neg_mul_sq_isLittleO_exp_neg theorem rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg (s : ℝ) {b p : ℝ} (hp : 1 < p) (hb : 0 < b) : (fun x : ℝ => x ^ s * exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by apply ((isBigO_refl (fun x : ℝ => x ^ s) atTop).mul_isLittleO (exp_neg_mul_rpow_isLittleO_exp_neg hb hp)).trans simpa only [mul_comm] using Real.Gamma_integrand_isLittleO s theorem rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) (s : ℝ) : (fun x : ℝ => x ^ s * exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by simp_rw [← rpow_two] exact rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s one_lt_two hb #align rpow_mul_exp_neg_mul_sq_is_o_exp_neg rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg theorem integrableOn_rpow_mul_exp_neg_rpow {p s : ℝ} (hs : -1 < s) (hp : 1 ≤ p) : IntegrableOn (fun x : ℝ => x ^ s * exp (- x ^ p)) (Ioi 0) := by obtain hp | hp := le_iff_lt_or_eq.mp hp · have h_exp : ∀ x, ContinuousAt (fun x => exp (- x)) x := fun x => continuousAt_neg.rexp rw [← Ioc_union_Ioi_eq_Ioi zero_le_one, integrableOn_union] constructor · rw [← integrableOn_Icc_iff_integrableOn_Ioc] refine IntegrableOn.mul_continuousOn ?_ ?_ isCompact_Icc · refine (intervalIntegrable_iff_integrableOn_Icc_of_le zero_le_one).mp ?_ exact intervalIntegral.intervalIntegrable_rpow' hs · intro x _ change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Icc 0 1) x refine ContinuousAt.comp_continuousWithinAt (h_exp _) ?_ exact continuousWithinAt_id.rpow_const (Or.inr (le_of_lt (lt_trans zero_lt_one hp))) · have h_rpow : ∀ (x r : ℝ), x ∈ Ici 1 → ContinuousWithinAt (fun x => x ^ r) (Ici 1) x := by intro _ _ hx refine continuousWithinAt_id.rpow_const (Or.inl ?_) exact ne_of_gt (lt_of_lt_of_le zero_lt_one hx) refine integrable_of_isBigO_exp_neg (by norm_num : (0:ℝ) < 1 / 2) (ContinuousOn.mul (fun x hx => h_rpow x s hx) (fun x hx => ?_)) (IsLittleO.isBigO ?_) · change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Ici 1) x exact ContinuousAt.comp_continuousWithinAt (h_exp _) (h_rpow x p hx) · convert rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s hp (by norm_num : (0:ℝ) < 1) using 3 rw [neg_mul, one_mul] · simp_rw [← hp, Real.rpow_one] convert Real.GammaIntegral_convergent (by linarith : 0 < s + 1) using 2 rw [add_sub_cancel_right, mul_comm] theorem integrableOn_rpow_mul_exp_neg_mul_rpow {p s b : ℝ} (hs : -1 < s) (hp : 1 ≤ p) (hb : 0 < b) : IntegrableOn (fun x : ℝ => x ^ s * exp (- b * x ^ p)) (Ioi 0) := by have hib : 0 < b ^ (-p⁻¹) := rpow_pos_of_pos hb _ suffices IntegrableOn (fun x ↦ (b ^ (-p⁻¹)) ^ s * (x ^ s * exp (-x ^ p))) (Ioi 0) by rw [show 0 = b ^ (-p⁻¹) * 0 by rw [mul_zero], ← integrableOn_Ioi_comp_mul_left_iff _ _ hib] refine this.congr_fun (fun _ hx => ?_) measurableSet_Ioi rw [← mul_assoc, mul_rpow, mul_rpow, ← rpow_mul (z := p), neg_mul, neg_mul, inv_mul_cancel, rpow_neg_one, mul_inv_cancel_left₀] all_goals linarith [mem_Ioi.mp hx] refine Integrable.const_mul ?_ _ rw [← IntegrableOn] exact integrableOn_rpow_mul_exp_neg_rpow hs hp theorem integrableOn_rpow_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) {s : ℝ} (hs : -1 < s) : IntegrableOn (fun x : ℝ => x ^ s * exp (-b * x ^ 2)) (Ioi 0) := by simp_rw [← rpow_two] exact integrableOn_rpow_mul_exp_neg_mul_rpow hs one_le_two hb #align integrable_on_rpow_mul_exp_neg_mul_sq integrableOn_rpow_mul_exp_neg_mul_sq theorem integrable_rpow_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) {s : ℝ} (hs : -1 < s) : Integrable fun x : ℝ => x ^ s * exp (-b * x ^ 2) := by rw [← integrableOn_univ, ← @Iio_union_Ici _ _ (0 : ℝ), integrableOn_union, integrableOn_Ici_iff_integrableOn_Ioi] refine ⟨?_, integrableOn_rpow_mul_exp_neg_mul_sq hb hs⟩ rw [← (Measure.measurePreserving_neg (volume : Measure ℝ)).integrableOn_comp_preimage (Homeomorph.neg ℝ).measurableEmbedding] simp only [Function.comp, neg_sq, neg_preimage, preimage_neg_Iio, neg_neg, neg_zero] apply Integrable.mono' (integrableOn_rpow_mul_exp_neg_mul_sq hb hs) · apply Measurable.aestronglyMeasurable exact (measurable_id'.neg.pow measurable_const).mul ((measurable_id'.pow measurable_const).const_mul (-b)).exp · have : MeasurableSet (Ioi (0 : ℝ)) := measurableSet_Ioi filter_upwards [ae_restrict_mem this] with x hx have h'x : 0 ≤ x := le_of_lt hx rw [Real.norm_eq_abs, abs_mul, abs_of_nonneg (exp_pos _).le] apply mul_le_mul_of_nonneg_right _ (exp_pos _).le simpa [abs_of_nonneg h'x] using abs_rpow_le_abs_rpow (-x) s #align integrable_rpow_mul_exp_neg_mul_sq integrable_rpow_mul_exp_neg_mul_sq
Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean
130
132
theorem integrable_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) : Integrable fun x : ℝ => exp (-b * x ^ 2) := by
simpa using integrable_rpow_mul_exp_neg_mul_sq hb (by norm_num : (-1 : ℝ) < 0)
import Mathlib.Dynamics.PeriodicPts import Mathlib.GroupTheory.Exponent import Mathlib.GroupTheory.GroupAction.Basic namespace MulAction universe u v variable {α : Type v} variable {G : Type u} [Group G] [MulAction G α] variable {M : Type u} [Monoid M] [MulAction M α] @[to_additive "If the action is periodic, then a lower bound for its period can be computed."] theorem le_period {m : M} {a : α} {n : ℕ} (period_pos : 0 < period m a) (moved : ∀ k, 0 < k → k < n → m ^ k • a ≠ a) : n ≤ period m a := le_of_not_gt fun period_lt_n => moved _ period_pos period_lt_n <| pow_period_smul m a @[to_additive "If for some `n`, `(n • m) +ᵥ a = a`, then `period m a ≤ n`."] theorem period_le_of_fixed {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (fixed : m ^ n • a = a) : period m a ≤ n := (isPeriodicPt_smul_iff.mpr fixed).minimalPeriod_le n_pos @[to_additive "If for some `n`, `(n • m) +ᵥ a = a`, then `0 < period m a`."] theorem period_pos_of_fixed {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (fixed : m ^ n • a = a) : 0 < period m a := (isPeriodicPt_smul_iff.mpr fixed).minimalPeriod_pos n_pos @[to_additive] theorem period_eq_one_iff {m : M} {a : α} : period m a = 1 ↔ m • a = a := ⟨fun eq_one => pow_one m ▸ eq_one ▸ pow_period_smul m a, fun fixed => le_antisymm (period_le_of_fixed one_pos (by simpa)) (period_pos_of_fixed one_pos (by simpa))⟩ @[to_additive "For any non-zero `n` less than the period of `m` on `a`, `a` is moved by `n • m`."] theorem pow_smul_ne_of_lt_period {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (n_lt_period : n < period m a) : m ^ n • a ≠ a := fun a_fixed => not_le_of_gt n_lt_period <| period_le_of_fixed n_pos a_fixed section MonoidExponent @[to_additive]
Mathlib/GroupTheory/GroupAction/Period.lean
87
88
theorem period_dvd_orderOf (m : M) (a : α) : period m a ∣ orderOf m := by
rw [← pow_smul_eq_iff_period_dvd, pow_orderOf_eq_one, one_smul]
import Mathlib.Algebra.GroupWithZero.Divisibility import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.Data.Finset.Sort #align_import data.polynomial.basic from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" set_option linter.uppercaseLean3 false noncomputable section structure Polynomial (R : Type*) [Semiring R] where ofFinsupp :: toFinsupp : AddMonoidAlgebra R ℕ #align polynomial Polynomial #align polynomial.of_finsupp Polynomial.ofFinsupp #align polynomial.to_finsupp Polynomial.toFinsupp @[inherit_doc] scoped[Polynomial] notation:9000 R "[X]" => Polynomial R open AddMonoidAlgebra open Finsupp hiding single open Function hiding Commute open Polynomial namespace Polynomial universe u variable {R : Type u} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q : R[X]} theorem forall_iff_forall_finsupp (P : R[X] → Prop) : (∀ p, P p) ↔ ∀ q : R[ℕ], P ⟨q⟩ := ⟨fun h q => h ⟨q⟩, fun h ⟨p⟩ => h p⟩ #align polynomial.forall_iff_forall_finsupp Polynomial.forall_iff_forall_finsupp theorem exists_iff_exists_finsupp (P : R[X] → Prop) : (∃ p, P p) ↔ ∃ q : R[ℕ], P ⟨q⟩ := ⟨fun ⟨⟨p⟩, hp⟩ => ⟨p, hp⟩, fun ⟨q, hq⟩ => ⟨⟨q⟩, hq⟩⟩ #align polynomial.exists_iff_exists_finsupp Polynomial.exists_iff_exists_finsupp @[simp] theorem eta (f : R[X]) : Polynomial.ofFinsupp f.toFinsupp = f := by cases f; rfl #align polynomial.eta Polynomial.eta section AddMonoidAlgebra private irreducible_def add : R[X] → R[X] → R[X] | ⟨a⟩, ⟨b⟩ => ⟨a + b⟩ private irreducible_def neg {R : Type u} [Ring R] : R[X] → R[X] | ⟨a⟩ => ⟨-a⟩ private irreducible_def mul : R[X] → R[X] → R[X] | ⟨a⟩, ⟨b⟩ => ⟨a * b⟩ instance zero : Zero R[X] := ⟨⟨0⟩⟩ #align polynomial.has_zero Polynomial.zero instance one : One R[X] := ⟨⟨1⟩⟩ #align polynomial.one Polynomial.one instance add' : Add R[X] := ⟨add⟩ #align polynomial.has_add Polynomial.add' instance neg' {R : Type u} [Ring R] : Neg R[X] := ⟨neg⟩ #align polynomial.has_neg Polynomial.neg' instance sub {R : Type u} [Ring R] : Sub R[X] := ⟨fun a b => a + -b⟩ #align polynomial.has_sub Polynomial.sub instance mul' : Mul R[X] := ⟨mul⟩ #align polynomial.has_mul Polynomial.mul' -- If the private definitions are accidentally exposed, simplify them away. @[simp] theorem add_eq_add : add p q = p + q := rfl @[simp] theorem mul_eq_mul : mul p q = p * q := rfl instance smulZeroClass {S : Type*} [SMulZeroClass S R] : SMulZeroClass S R[X] where smul r p := ⟨r • p.toFinsupp⟩ smul_zero a := congr_arg ofFinsupp (smul_zero a) #align polynomial.smul_zero_class Polynomial.smulZeroClass -- to avoid a bug in the `ring` tactic instance (priority := 1) pow : Pow R[X] ℕ where pow p n := npowRec n p #align polynomial.has_pow Polynomial.pow @[simp] theorem ofFinsupp_zero : (⟨0⟩ : R[X]) = 0 := rfl #align polynomial.of_finsupp_zero Polynomial.ofFinsupp_zero @[simp] theorem ofFinsupp_one : (⟨1⟩ : R[X]) = 1 := rfl #align polynomial.of_finsupp_one Polynomial.ofFinsupp_one @[simp] theorem ofFinsupp_add {a b} : (⟨a + b⟩ : R[X]) = ⟨a⟩ + ⟨b⟩ := show _ = add _ _ by rw [add_def] #align polynomial.of_finsupp_add Polynomial.ofFinsupp_add @[simp] theorem ofFinsupp_neg {R : Type u} [Ring R] {a} : (⟨-a⟩ : R[X]) = -⟨a⟩ := show _ = neg _ by rw [neg_def] #align polynomial.of_finsupp_neg Polynomial.ofFinsupp_neg @[simp] theorem ofFinsupp_sub {R : Type u} [Ring R] {a b} : (⟨a - b⟩ : R[X]) = ⟨a⟩ - ⟨b⟩ := by rw [sub_eq_add_neg, ofFinsupp_add, ofFinsupp_neg] rfl #align polynomial.of_finsupp_sub Polynomial.ofFinsupp_sub @[simp] theorem ofFinsupp_mul (a b) : (⟨a * b⟩ : R[X]) = ⟨a⟩ * ⟨b⟩ := show _ = mul _ _ by rw [mul_def] #align polynomial.of_finsupp_mul Polynomial.ofFinsupp_mul @[simp] theorem ofFinsupp_smul {S : Type*} [SMulZeroClass S R] (a : S) (b) : (⟨a • b⟩ : R[X]) = (a • ⟨b⟩ : R[X]) := rfl #align polynomial.of_finsupp_smul Polynomial.ofFinsupp_smul @[simp] theorem ofFinsupp_pow (a) (n : ℕ) : (⟨a ^ n⟩ : R[X]) = ⟨a⟩ ^ n := by change _ = npowRec n _ induction n with | zero => simp [npowRec] | succ n n_ih => simp [npowRec, n_ih, pow_succ] #align polynomial.of_finsupp_pow Polynomial.ofFinsupp_pow @[simp] theorem toFinsupp_zero : (0 : R[X]).toFinsupp = 0 := rfl #align polynomial.to_finsupp_zero Polynomial.toFinsupp_zero @[simp] theorem toFinsupp_one : (1 : R[X]).toFinsupp = 1 := rfl #align polynomial.to_finsupp_one Polynomial.toFinsupp_one @[simp]
Mathlib/Algebra/Polynomial/Basic.lean
213
216
theorem toFinsupp_add (a b : R[X]) : (a + b).toFinsupp = a.toFinsupp + b.toFinsupp := by
cases a cases b rw [← ofFinsupp_add]
import Mathlib.Order.MinMax import Mathlib.Data.Set.Subsingleton import Mathlib.Tactic.Says #align_import data.set.intervals.basic from "leanprover-community/mathlib"@"3ba15165bd6927679be7c22d6091a87337e3cd0c" open Function open OrderDual (toDual ofDual) variable {α β : Type*} namespace Set section Preorder variable [Preorder α] {a a₁ a₂ b b₁ b₂ c x : α} def Ioo (a b : α) := { x | a < x ∧ x < b } #align set.Ioo Set.Ioo def Ico (a b : α) := { x | a ≤ x ∧ x < b } #align set.Ico Set.Ico def Iio (a : α) := { x | x < a } #align set.Iio Set.Iio def Icc (a b : α) := { x | a ≤ x ∧ x ≤ b } #align set.Icc Set.Icc def Iic (b : α) := { x | x ≤ b } #align set.Iic Set.Iic def Ioc (a b : α) := { x | a < x ∧ x ≤ b } #align set.Ioc Set.Ioc def Ici (a : α) := { x | a ≤ x } #align set.Ici Set.Ici def Ioi (a : α) := { x | a < x } #align set.Ioi Set.Ioi theorem Ioo_def (a b : α) : { x | a < x ∧ x < b } = Ioo a b := rfl #align set.Ioo_def Set.Ioo_def theorem Ico_def (a b : α) : { x | a ≤ x ∧ x < b } = Ico a b := rfl #align set.Ico_def Set.Ico_def theorem Iio_def (a : α) : { x | x < a } = Iio a := rfl #align set.Iio_def Set.Iio_def theorem Icc_def (a b : α) : { x | a ≤ x ∧ x ≤ b } = Icc a b := rfl #align set.Icc_def Set.Icc_def theorem Iic_def (b : α) : { x | x ≤ b } = Iic b := rfl #align set.Iic_def Set.Iic_def theorem Ioc_def (a b : α) : { x | a < x ∧ x ≤ b } = Ioc a b := rfl #align set.Ioc_def Set.Ioc_def theorem Ici_def (a : α) : { x | a ≤ x } = Ici a := rfl #align set.Ici_def Set.Ici_def theorem Ioi_def (a : α) : { x | a < x } = Ioi a := rfl #align set.Ioi_def Set.Ioi_def @[simp] theorem mem_Ioo : x ∈ Ioo a b ↔ a < x ∧ x < b := Iff.rfl #align set.mem_Ioo Set.mem_Ioo @[simp] theorem mem_Ico : x ∈ Ico a b ↔ a ≤ x ∧ x < b := Iff.rfl #align set.mem_Ico Set.mem_Ico @[simp] theorem mem_Iio : x ∈ Iio b ↔ x < b := Iff.rfl #align set.mem_Iio Set.mem_Iio @[simp] theorem mem_Icc : x ∈ Icc a b ↔ a ≤ x ∧ x ≤ b := Iff.rfl #align set.mem_Icc Set.mem_Icc @[simp] theorem mem_Iic : x ∈ Iic b ↔ x ≤ b := Iff.rfl #align set.mem_Iic Set.mem_Iic @[simp] theorem mem_Ioc : x ∈ Ioc a b ↔ a < x ∧ x ≤ b := Iff.rfl #align set.mem_Ioc Set.mem_Ioc @[simp] theorem mem_Ici : x ∈ Ici a ↔ a ≤ x := Iff.rfl #align set.mem_Ici Set.mem_Ici @[simp] theorem mem_Ioi : x ∈ Ioi a ↔ a < x := Iff.rfl #align set.mem_Ioi Set.mem_Ioi instance decidableMemIoo [Decidable (a < x ∧ x < b)] : Decidable (x ∈ Ioo a b) := by assumption #align set.decidable_mem_Ioo Set.decidableMemIoo instance decidableMemIco [Decidable (a ≤ x ∧ x < b)] : Decidable (x ∈ Ico a b) := by assumption #align set.decidable_mem_Ico Set.decidableMemIco instance decidableMemIio [Decidable (x < b)] : Decidable (x ∈ Iio b) := by assumption #align set.decidable_mem_Iio Set.decidableMemIio instance decidableMemIcc [Decidable (a ≤ x ∧ x ≤ b)] : Decidable (x ∈ Icc a b) := by assumption #align set.decidable_mem_Icc Set.decidableMemIcc instance decidableMemIic [Decidable (x ≤ b)] : Decidable (x ∈ Iic b) := by assumption #align set.decidable_mem_Iic Set.decidableMemIic instance decidableMemIoc [Decidable (a < x ∧ x ≤ b)] : Decidable (x ∈ Ioc a b) := by assumption #align set.decidable_mem_Ioc Set.decidableMemIoc instance decidableMemIci [Decidable (a ≤ x)] : Decidable (x ∈ Ici a) := by assumption #align set.decidable_mem_Ici Set.decidableMemIci instance decidableMemIoi [Decidable (a < x)] : Decidable (x ∈ Ioi a) := by assumption #align set.decidable_mem_Ioi Set.decidableMemIoi -- Porting note (#10618): `simp` can prove this -- @[simp] theorem left_mem_Ioo : a ∈ Ioo a b ↔ False := by simp [lt_irrefl] #align set.left_mem_Ioo Set.left_mem_Ioo -- Porting note (#10618): `simp` can prove this -- @[simp] theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp [le_refl] #align set.left_mem_Ico Set.left_mem_Ico -- Porting note (#10618): `simp` can prove this -- @[simp] theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp [le_refl] #align set.left_mem_Icc Set.left_mem_Icc -- Porting note (#10618): `simp` can prove this -- @[simp] theorem left_mem_Ioc : a ∈ Ioc a b ↔ False := by simp [lt_irrefl] #align set.left_mem_Ioc Set.left_mem_Ioc theorem left_mem_Ici : a ∈ Ici a := by simp #align set.left_mem_Ici Set.left_mem_Ici -- Porting note (#10618): `simp` can prove this -- @[simp] theorem right_mem_Ioo : b ∈ Ioo a b ↔ False := by simp [lt_irrefl] #align set.right_mem_Ioo Set.right_mem_Ioo -- Porting note (#10618): `simp` can prove this -- @[simp] theorem right_mem_Ico : b ∈ Ico a b ↔ False := by simp [lt_irrefl] #align set.right_mem_Ico Set.right_mem_Ico -- Porting note (#10618): `simp` can prove this -- @[simp] theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp [le_refl] #align set.right_mem_Icc Set.right_mem_Icc -- Porting note (#10618): `simp` can prove this -- @[simp] theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp [le_refl] #align set.right_mem_Ioc Set.right_mem_Ioc theorem right_mem_Iic : a ∈ Iic a := by simp #align set.right_mem_Iic Set.right_mem_Iic @[simp] theorem dual_Ici : Ici (toDual a) = ofDual ⁻¹' Iic a := rfl #align set.dual_Ici Set.dual_Ici @[simp] theorem dual_Iic : Iic (toDual a) = ofDual ⁻¹' Ici a := rfl #align set.dual_Iic Set.dual_Iic @[simp] theorem dual_Ioi : Ioi (toDual a) = ofDual ⁻¹' Iio a := rfl #align set.dual_Ioi Set.dual_Ioi @[simp] theorem dual_Iio : Iio (toDual a) = ofDual ⁻¹' Ioi a := rfl #align set.dual_Iio Set.dual_Iio @[simp] theorem dual_Icc : Icc (toDual a) (toDual b) = ofDual ⁻¹' Icc b a := Set.ext fun _ => and_comm #align set.dual_Icc Set.dual_Icc @[simp] theorem dual_Ioc : Ioc (toDual a) (toDual b) = ofDual ⁻¹' Ico b a := Set.ext fun _ => and_comm #align set.dual_Ioc Set.dual_Ioc @[simp] theorem dual_Ico : Ico (toDual a) (toDual b) = ofDual ⁻¹' Ioc b a := Set.ext fun _ => and_comm #align set.dual_Ico Set.dual_Ico @[simp] theorem dual_Ioo : Ioo (toDual a) (toDual b) = ofDual ⁻¹' Ioo b a := Set.ext fun _ => and_comm #align set.dual_Ioo Set.dual_Ioo @[simp] theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := ⟨fun ⟨_, hx⟩ => hx.1.trans hx.2, fun h => ⟨a, left_mem_Icc.2 h⟩⟩ #align set.nonempty_Icc Set.nonempty_Icc @[simp] theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := ⟨fun ⟨_, hx⟩ => hx.1.trans_lt hx.2, fun h => ⟨a, left_mem_Ico.2 h⟩⟩ #align set.nonempty_Ico Set.nonempty_Ico @[simp] theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := ⟨fun ⟨_, hx⟩ => hx.1.trans_le hx.2, fun h => ⟨b, right_mem_Ioc.2 h⟩⟩ #align set.nonempty_Ioc Set.nonempty_Ioc @[simp] theorem nonempty_Ici : (Ici a).Nonempty := ⟨a, left_mem_Ici⟩ #align set.nonempty_Ici Set.nonempty_Ici @[simp] theorem nonempty_Iic : (Iic a).Nonempty := ⟨a, right_mem_Iic⟩ #align set.nonempty_Iic Set.nonempty_Iic @[simp] theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := ⟨fun ⟨_, ha, hb⟩ => ha.trans hb, exists_between⟩ #align set.nonempty_Ioo Set.nonempty_Ioo @[simp] theorem nonempty_Ioi [NoMaxOrder α] : (Ioi a).Nonempty := exists_gt a #align set.nonempty_Ioi Set.nonempty_Ioi @[simp] theorem nonempty_Iio [NoMinOrder α] : (Iio a).Nonempty := exists_lt a #align set.nonempty_Iio Set.nonempty_Iio theorem nonempty_Icc_subtype (h : a ≤ b) : Nonempty (Icc a b) := Nonempty.to_subtype (nonempty_Icc.mpr h) #align set.nonempty_Icc_subtype Set.nonempty_Icc_subtype theorem nonempty_Ico_subtype (h : a < b) : Nonempty (Ico a b) := Nonempty.to_subtype (nonempty_Ico.mpr h) #align set.nonempty_Ico_subtype Set.nonempty_Ico_subtype theorem nonempty_Ioc_subtype (h : a < b) : Nonempty (Ioc a b) := Nonempty.to_subtype (nonempty_Ioc.mpr h) #align set.nonempty_Ioc_subtype Set.nonempty_Ioc_subtype instance nonempty_Ici_subtype : Nonempty (Ici a) := Nonempty.to_subtype nonempty_Ici #align set.nonempty_Ici_subtype Set.nonempty_Ici_subtype instance nonempty_Iic_subtype : Nonempty (Iic a) := Nonempty.to_subtype nonempty_Iic #align set.nonempty_Iic_subtype Set.nonempty_Iic_subtype theorem nonempty_Ioo_subtype [DenselyOrdered α] (h : a < b) : Nonempty (Ioo a b) := Nonempty.to_subtype (nonempty_Ioo.mpr h) #align set.nonempty_Ioo_subtype Set.nonempty_Ioo_subtype instance nonempty_Ioi_subtype [NoMaxOrder α] : Nonempty (Ioi a) := Nonempty.to_subtype nonempty_Ioi #align set.nonempty_Ioi_subtype Set.nonempty_Ioi_subtype instance nonempty_Iio_subtype [NoMinOrder α] : Nonempty (Iio a) := Nonempty.to_subtype nonempty_Iio #align set.nonempty_Iio_subtype Set.nonempty_Iio_subtype instance [NoMinOrder α] : NoMinOrder (Iio a) := ⟨fun a => let ⟨b, hb⟩ := exists_lt (a : α) ⟨⟨b, lt_trans hb a.2⟩, hb⟩⟩ instance [NoMinOrder α] : NoMinOrder (Iic a) := ⟨fun a => let ⟨b, hb⟩ := exists_lt (a : α) ⟨⟨b, hb.le.trans a.2⟩, hb⟩⟩ instance [NoMaxOrder α] : NoMaxOrder (Ioi a) := OrderDual.noMaxOrder (α := Iio (toDual a)) instance [NoMaxOrder α] : NoMaxOrder (Ici a) := OrderDual.noMaxOrder (α := Iic (toDual a)) @[simp] theorem Icc_eq_empty (h : ¬a ≤ b) : Icc a b = ∅ := eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans hb) #align set.Icc_eq_empty Set.Icc_eq_empty @[simp] theorem Ico_eq_empty (h : ¬a < b) : Ico a b = ∅ := eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans_lt hb) #align set.Ico_eq_empty Set.Ico_eq_empty @[simp] theorem Ioc_eq_empty (h : ¬a < b) : Ioc a b = ∅ := eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans_le hb) #align set.Ioc_eq_empty Set.Ioc_eq_empty @[simp] theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ := eq_empty_iff_forall_not_mem.2 fun _ ⟨ha, hb⟩ => h (ha.trans hb) #align set.Ioo_eq_empty Set.Ioo_eq_empty @[simp] theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ := Icc_eq_empty h.not_le #align set.Icc_eq_empty_of_lt Set.Icc_eq_empty_of_lt @[simp] theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ := Ico_eq_empty h.not_lt #align set.Ico_eq_empty_of_le Set.Ico_eq_empty_of_le @[simp] theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ := Ioc_eq_empty h.not_lt #align set.Ioc_eq_empty_of_le Set.Ioc_eq_empty_of_le @[simp] theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ := Ioo_eq_empty h.not_lt #align set.Ioo_eq_empty_of_le Set.Ioo_eq_empty_of_le -- Porting note (#10618): `simp` can prove this -- @[simp] theorem Ico_self (a : α) : Ico a a = ∅ := Ico_eq_empty <| lt_irrefl _ #align set.Ico_self Set.Ico_self -- Porting note (#10618): `simp` can prove this -- @[simp] theorem Ioc_self (a : α) : Ioc a a = ∅ := Ioc_eq_empty <| lt_irrefl _ #align set.Ioc_self Set.Ioc_self -- Porting note (#10618): `simp` can prove this -- @[simp] theorem Ioo_self (a : α) : Ioo a a = ∅ := Ioo_eq_empty <| lt_irrefl _ #align set.Ioo_self Set.Ioo_self theorem Ici_subset_Ici : Ici a ⊆ Ici b ↔ b ≤ a := ⟨fun h => h <| left_mem_Ici, fun h _ hx => h.trans hx⟩ #align set.Ici_subset_Ici Set.Ici_subset_Ici @[gcongr] alias ⟨_, _root_.GCongr.Ici_subset_Ici_of_le⟩ := Ici_subset_Ici theorem Iic_subset_Iic : Iic a ⊆ Iic b ↔ a ≤ b := @Ici_subset_Ici αᵒᵈ _ _ _ #align set.Iic_subset_Iic Set.Iic_subset_Iic @[gcongr] alias ⟨_, _root_.GCongr.Iic_subset_Iic_of_le⟩ := Iic_subset_Iic theorem Ici_subset_Ioi : Ici a ⊆ Ioi b ↔ b < a := ⟨fun h => h left_mem_Ici, fun h _ hx => h.trans_le hx⟩ #align set.Ici_subset_Ioi Set.Ici_subset_Ioi theorem Iic_subset_Iio : Iic a ⊆ Iio b ↔ a < b := ⟨fun h => h right_mem_Iic, fun h _ hx => lt_of_le_of_lt hx h⟩ #align set.Iic_subset_Iio Set.Iic_subset_Iio @[gcongr] theorem Ioo_subset_Ioo (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ => ⟨h₁.trans_lt hx₁, hx₂.trans_le h₂⟩ #align set.Ioo_subset_Ioo Set.Ioo_subset_Ioo @[gcongr] theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b := Ioo_subset_Ioo h le_rfl #align set.Ioo_subset_Ioo_left Set.Ioo_subset_Ioo_left @[gcongr] theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ := Ioo_subset_Ioo le_rfl h #align set.Ioo_subset_Ioo_right Set.Ioo_subset_Ioo_right @[gcongr] theorem Ico_subset_Ico (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ => ⟨h₁.trans hx₁, hx₂.trans_le h₂⟩ #align set.Ico_subset_Ico Set.Ico_subset_Ico @[gcongr] theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b := Ico_subset_Ico h le_rfl #align set.Ico_subset_Ico_left Set.Ico_subset_Ico_left @[gcongr] theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ := Ico_subset_Ico le_rfl h #align set.Ico_subset_Ico_right Set.Ico_subset_Ico_right @[gcongr] theorem Icc_subset_Icc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ => ⟨h₁.trans hx₁, le_trans hx₂ h₂⟩ #align set.Icc_subset_Icc Set.Icc_subset_Icc @[gcongr] theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b := Icc_subset_Icc h le_rfl #align set.Icc_subset_Icc_left Set.Icc_subset_Icc_left @[gcongr] theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ := Icc_subset_Icc le_rfl h #align set.Icc_subset_Icc_right Set.Icc_subset_Icc_right theorem Icc_subset_Ioo (ha : a₂ < a₁) (hb : b₁ < b₂) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ := fun _ hx => ⟨ha.trans_le hx.1, hx.2.trans_lt hb⟩ #align set.Icc_subset_Ioo Set.Icc_subset_Ioo theorem Icc_subset_Ici_self : Icc a b ⊆ Ici a := fun _ => And.left #align set.Icc_subset_Ici_self Set.Icc_subset_Ici_self theorem Icc_subset_Iic_self : Icc a b ⊆ Iic b := fun _ => And.right #align set.Icc_subset_Iic_self Set.Icc_subset_Iic_self theorem Ioc_subset_Iic_self : Ioc a b ⊆ Iic b := fun _ => And.right #align set.Ioc_subset_Iic_self Set.Ioc_subset_Iic_self @[gcongr] theorem Ioc_subset_Ioc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := fun _ ⟨hx₁, hx₂⟩ => ⟨h₁.trans_lt hx₁, hx₂.trans h₂⟩ #align set.Ioc_subset_Ioc Set.Ioc_subset_Ioc @[gcongr] theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b := Ioc_subset_Ioc h le_rfl #align set.Ioc_subset_Ioc_left Set.Ioc_subset_Ioc_left @[gcongr] theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ := Ioc_subset_Ioc le_rfl h #align set.Ioc_subset_Ioc_right Set.Ioc_subset_Ioc_right theorem Ico_subset_Ioo_left (h₁ : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := fun _ => And.imp_left h₁.trans_le #align set.Ico_subset_Ioo_left Set.Ico_subset_Ioo_left theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := fun _ => And.imp_right fun h' => h'.trans_lt h #align set.Ioc_subset_Ioo_right Set.Ioc_subset_Ioo_right theorem Icc_subset_Ico_right (h₁ : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := fun _ => And.imp_right fun h₂ => h₂.trans_lt h₁ #align set.Icc_subset_Ico_right Set.Icc_subset_Ico_right theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := fun _ => And.imp_left le_of_lt #align set.Ioo_subset_Ico_self Set.Ioo_subset_Ico_self theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := fun _ => And.imp_right le_of_lt #align set.Ioo_subset_Ioc_self Set.Ioo_subset_Ioc_self theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := fun _ => And.imp_right le_of_lt #align set.Ico_subset_Icc_self Set.Ico_subset_Icc_self theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := fun _ => And.imp_left le_of_lt #align set.Ioc_subset_Icc_self Set.Ioc_subset_Icc_self theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b := Subset.trans Ioo_subset_Ico_self Ico_subset_Icc_self #align set.Ioo_subset_Icc_self Set.Ioo_subset_Icc_self theorem Ico_subset_Iio_self : Ico a b ⊆ Iio b := fun _ => And.right #align set.Ico_subset_Iio_self Set.Ico_subset_Iio_self theorem Ioo_subset_Iio_self : Ioo a b ⊆ Iio b := fun _ => And.right #align set.Ioo_subset_Iio_self Set.Ioo_subset_Iio_self theorem Ioc_subset_Ioi_self : Ioc a b ⊆ Ioi a := fun _ => And.left #align set.Ioc_subset_Ioi_self Set.Ioc_subset_Ioi_self theorem Ioo_subset_Ioi_self : Ioo a b ⊆ Ioi a := fun _ => And.left #align set.Ioo_subset_Ioi_self Set.Ioo_subset_Ioi_self theorem Ioi_subset_Ici_self : Ioi a ⊆ Ici a := fun _ hx => le_of_lt hx #align set.Ioi_subset_Ici_self Set.Ioi_subset_Ici_self theorem Iio_subset_Iic_self : Iio a ⊆ Iic a := fun _ hx => le_of_lt hx #align set.Iio_subset_Iic_self Set.Iio_subset_Iic_self theorem Ico_subset_Ici_self : Ico a b ⊆ Ici a := fun _ => And.left #align set.Ico_subset_Ici_self Set.Ico_subset_Ici_self theorem Ioi_ssubset_Ici_self : Ioi a ⊂ Ici a := ⟨Ioi_subset_Ici_self, fun h => lt_irrefl a (h le_rfl)⟩ #align set.Ioi_ssubset_Ici_self Set.Ioi_ssubset_Ici_self theorem Iio_ssubset_Iic_self : Iio a ⊂ Iic a := @Ioi_ssubset_Ici_self αᵒᵈ _ _ #align set.Iio_ssubset_Iic_self Set.Iio_ssubset_Iic_self theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := ⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ => ⟨h.trans hx, hx'.trans h'⟩⟩ #align set.Icc_subset_Icc_iff Set.Icc_subset_Icc_iff theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := ⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ => ⟨h.trans_le hx, hx'.trans_lt h'⟩⟩ #align set.Icc_subset_Ioo_iff Set.Icc_subset_Ioo_iff theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := ⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ => ⟨h.trans hx, hx'.trans_lt h'⟩⟩ #align set.Icc_subset_Ico_iff Set.Icc_subset_Ico_iff theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ := ⟨fun h => ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩, fun ⟨h, h'⟩ _ ⟨hx, hx'⟩ => ⟨h.trans_le hx, hx'.trans h'⟩⟩ #align set.Icc_subset_Ioc_iff Set.Icc_subset_Ioc_iff theorem Icc_subset_Iio_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Iio b₂ ↔ b₁ < b₂ := ⟨fun h => h ⟨h₁, le_rfl⟩, fun h _ ⟨_, hx'⟩ => hx'.trans_lt h⟩ #align set.Icc_subset_Iio_iff Set.Icc_subset_Iio_iff theorem Icc_subset_Ioi_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioi a₂ ↔ a₂ < a₁ := ⟨fun h => h ⟨le_rfl, h₁⟩, fun h _ ⟨hx, _⟩ => h.trans_le hx⟩ #align set.Icc_subset_Ioi_iff Set.Icc_subset_Ioi_iff theorem Icc_subset_Iic_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Iic b₂ ↔ b₁ ≤ b₂ := ⟨fun h => h ⟨h₁, le_rfl⟩, fun h _ ⟨_, hx'⟩ => hx'.trans h⟩ #align set.Icc_subset_Iic_iff Set.Icc_subset_Iic_iff theorem Icc_subset_Ici_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ici a₂ ↔ a₂ ≤ a₁ := ⟨fun h => h ⟨le_rfl, h₁⟩, fun h _ ⟨hx, _⟩ => h.trans hx⟩ #align set.Icc_subset_Ici_iff Set.Icc_subset_Ici_iff theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊂ Icc a₂ b₂ := (ssubset_iff_of_subset (Icc_subset_Icc (le_of_lt ha) hb)).mpr ⟨a₂, left_mem_Icc.mpr hI, not_and.mpr fun f _ => lt_irrefl a₂ (ha.trans_le f)⟩ #align set.Icc_ssubset_Icc_left Set.Icc_ssubset_Icc_left theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) : Icc a₁ b₁ ⊂ Icc a₂ b₂ := (ssubset_iff_of_subset (Icc_subset_Icc ha (le_of_lt hb))).mpr ⟨b₂, right_mem_Icc.mpr hI, fun f => lt_irrefl b₁ (hb.trans_le f.2)⟩ #align set.Icc_ssubset_Icc_right Set.Icc_ssubset_Icc_right @[gcongr] theorem Ioi_subset_Ioi (h : a ≤ b) : Ioi b ⊆ Ioi a := fun _ hx => h.trans_lt hx #align set.Ioi_subset_Ioi Set.Ioi_subset_Ioi theorem Ioi_subset_Ici (h : a ≤ b) : Ioi b ⊆ Ici a := Subset.trans (Ioi_subset_Ioi h) Ioi_subset_Ici_self #align set.Ioi_subset_Ici Set.Ioi_subset_Ici @[gcongr] theorem Iio_subset_Iio (h : a ≤ b) : Iio a ⊆ Iio b := fun _ hx => lt_of_lt_of_le hx h #align set.Iio_subset_Iio Set.Iio_subset_Iio theorem Iio_subset_Iic (h : a ≤ b) : Iio a ⊆ Iic b := Subset.trans (Iio_subset_Iio h) Iio_subset_Iic_self #align set.Iio_subset_Iic Set.Iio_subset_Iic theorem Ici_inter_Iic : Ici a ∩ Iic b = Icc a b := rfl #align set.Ici_inter_Iic Set.Ici_inter_Iic theorem Ici_inter_Iio : Ici a ∩ Iio b = Ico a b := rfl #align set.Ici_inter_Iio Set.Ici_inter_Iio theorem Ioi_inter_Iic : Ioi a ∩ Iic b = Ioc a b := rfl #align set.Ioi_inter_Iic Set.Ioi_inter_Iic theorem Ioi_inter_Iio : Ioi a ∩ Iio b = Ioo a b := rfl #align set.Ioi_inter_Iio Set.Ioi_inter_Iio theorem Iic_inter_Ici : Iic a ∩ Ici b = Icc b a := inter_comm _ _ #align set.Iic_inter_Ici Set.Iic_inter_Ici theorem Iio_inter_Ici : Iio a ∩ Ici b = Ico b a := inter_comm _ _ #align set.Iio_inter_Ici Set.Iio_inter_Ici theorem Iic_inter_Ioi : Iic a ∩ Ioi b = Ioc b a := inter_comm _ _ #align set.Iic_inter_Ioi Set.Iic_inter_Ioi theorem Iio_inter_Ioi : Iio a ∩ Ioi b = Ioo b a := inter_comm _ _ #align set.Iio_inter_Ioi Set.Iio_inter_Ioi theorem mem_Icc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Icc a b := Ioo_subset_Icc_self h #align set.mem_Icc_of_Ioo Set.mem_Icc_of_Ioo theorem mem_Ico_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ico a b := Ioo_subset_Ico_self h #align set.mem_Ico_of_Ioo Set.mem_Ico_of_Ioo theorem mem_Ioc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ioc a b := Ioo_subset_Ioc_self h #align set.mem_Ioc_of_Ioo Set.mem_Ioc_of_Ioo theorem mem_Icc_of_Ico (h : x ∈ Ico a b) : x ∈ Icc a b := Ico_subset_Icc_self h #align set.mem_Icc_of_Ico Set.mem_Icc_of_Ico theorem mem_Icc_of_Ioc (h : x ∈ Ioc a b) : x ∈ Icc a b := Ioc_subset_Icc_self h #align set.mem_Icc_of_Ioc Set.mem_Icc_of_Ioc theorem mem_Ici_of_Ioi (h : x ∈ Ioi a) : x ∈ Ici a := Ioi_subset_Ici_self h #align set.mem_Ici_of_Ioi Set.mem_Ici_of_Ioi theorem mem_Iic_of_Iio (h : x ∈ Iio a) : x ∈ Iic a := Iio_subset_Iic_self h #align set.mem_Iic_of_Iio Set.mem_Iic_of_Iio theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Icc] #align set.Icc_eq_empty_iff Set.Icc_eq_empty_iff theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ico] #align set.Ico_eq_empty_iff Set.Ico_eq_empty_iff
Mathlib/Order/Interval/Set/Basic.lean
704
705
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioc]
import Mathlib.Data.PFunctor.Multivariate.Basic #align_import data.qpf.multivariate.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe u open MvFunctor class MvQPF {n : ℕ} (F : TypeVec.{u} n → Type*) [MvFunctor F] where P : MvPFunctor.{u} n abs : ∀ {α}, P α → F α repr : ∀ {α}, F α → P α abs_repr : ∀ {α} (x : F α), abs (repr x) = x abs_map : ∀ {α β} (f : α ⟹ β) (p : P α), abs (f <$$> p) = f <$$> abs p #align mvqpf MvQPF namespace MvQPF variable {n : ℕ} {F : TypeVec.{u} n → Type*} [MvFunctor F] [q : MvQPF F] open MvFunctor (LiftP LiftR) protected theorem id_map {α : TypeVec n} (x : F α) : TypeVec.id <$$> x = x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map] rfl #align mvqpf.id_map MvQPF.id_map @[simp] theorem comp_map {α β γ : TypeVec n} (f : α ⟹ β) (g : β ⟹ γ) (x : F α) : (g ⊚ f) <$$> x = g <$$> f <$$> x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map, ← abs_map, ← abs_map] rfl #align mvqpf.comp_map MvQPF.comp_map instance (priority := 100) lawfulMvFunctor : LawfulMvFunctor F where id_map := @MvQPF.id_map n F _ _ comp_map := @comp_map n F _ _ #align mvqpf.is_lawful_mvfunctor MvQPF.lawfulMvFunctor -- Lifting predicates and relations theorem liftP_iff {α : TypeVec n} (p : ∀ ⦃i⦄, α i → Prop) (x : F α) : LiftP p x ↔ ∃ a f, x = abs ⟨a, f⟩ ∧ ∀ i j, p (f i j) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use a, fun i j => (f i j).val constructor · rw [← hy, ← abs_repr y, h, ← abs_map]; rfl intro i j apply (f i j).property rintro ⟨a, f, h₀, h₁⟩ use abs ⟨a, fun i j => ⟨f i j, h₁ i j⟩⟩ rw [← abs_map, h₀]; rfl #align mvqpf.liftp_iff MvQPF.liftP_iff theorem liftR_iff {α : TypeVec n} (r : ∀ {i}, α i → α i → Prop) (x y : F α) : LiftR r x y ↔ ∃ a f₀ f₁, x = abs ⟨a, f₀⟩ ∧ y = abs ⟨a, f₁⟩ ∧ ∀ i j, r (f₀ i j) (f₁ i j) := by constructor · rintro ⟨u, xeq, yeq⟩ cases' h : repr u with a f use a, fun i j => (f i j).val.fst, fun i j => (f i j).val.snd constructor · rw [← xeq, ← abs_repr u, h, ← abs_map]; rfl constructor · rw [← yeq, ← abs_repr u, h, ← abs_map]; rfl intro i j exact (f i j).property rintro ⟨a, f₀, f₁, xeq, yeq, h⟩ use abs ⟨a, fun i j => ⟨(f₀ i j, f₁ i j), h i j⟩⟩ dsimp; constructor · rw [xeq, ← abs_map]; rfl rw [yeq, ← abs_map]; rfl #align mvqpf.liftr_iff MvQPF.liftR_iff open Set open MvFunctor (LiftP LiftR) theorem mem_supp {α : TypeVec n} (x : F α) (i) (u : α i) : u ∈ supp x i ↔ ∀ a f, abs ⟨a, f⟩ = x → u ∈ f i '' univ := by rw [supp]; dsimp; constructor · intro h a f haf have : LiftP (fun i u => u ∈ f i '' univ) x := by rw [liftP_iff] refine ⟨a, f, haf.symm, ?_⟩ intro i u exact mem_image_of_mem _ (mem_univ _) exact h this intro h p; rw [liftP_iff] rintro ⟨a, f, xeq, h'⟩ rcases h a f xeq.symm with ⟨i, _, hi⟩ rw [← hi]; apply h' #align mvqpf.mem_supp MvQPF.mem_supp theorem supp_eq {α : TypeVec n} {i} (x : F α) : supp x i = { u | ∀ a f, abs ⟨a, f⟩ = x → u ∈ f i '' univ } := by ext; apply mem_supp #align mvqpf.supp_eq MvQPF.supp_eq theorem has_good_supp_iff {α : TypeVec n} (x : F α) : (∀ p, LiftP p x ↔ ∀ (i), ∀ u ∈ supp x i, p i u) ↔ ∃ a f, abs ⟨a, f⟩ = x ∧ ∀ i a' f', abs ⟨a', f'⟩ = x → f i '' univ ⊆ f' i '' univ := by constructor · intro h have : LiftP (supp x) x := by rw [h]; introv; exact id rw [liftP_iff] at this rcases this with ⟨a, f, xeq, h'⟩ refine ⟨a, f, xeq.symm, ?_⟩ intro a' f' h'' rintro hu u ⟨j, _h₂, hfi⟩ have hh : u ∈ supp x a' := by rw [← hfi]; apply h' exact (mem_supp x _ u).mp hh _ _ hu rintro ⟨a, f, xeq, h⟩ p; rw [liftP_iff]; constructor · rintro ⟨a', f', xeq', h'⟩ i u usuppx rcases (mem_supp x _ u).mp (@usuppx) a' f' xeq'.symm with ⟨i, _, f'ieq⟩ rw [← f'ieq] apply h' intro h' refine ⟨a, f, xeq.symm, ?_⟩; intro j y apply h'; rw [mem_supp] intro a' f' xeq' apply h _ a' f' xeq' apply mem_image_of_mem _ (mem_univ _) #align mvqpf.has_good_supp_iff MvQPF.has_good_supp_iff def IsUniform : Prop := ∀ ⦃α : TypeVec n⦄ (a a' : q.P.A) (f : q.P.B a ⟹ α) (f' : q.P.B a' ⟹ α), abs ⟨a, f⟩ = abs ⟨a', f'⟩ → ∀ i, f i '' univ = f' i '' univ #align mvqpf.is_uniform MvQPF.IsUniform def LiftPPreservation : Prop := ∀ ⦃α : TypeVec n⦄ (p : ∀ ⦃i⦄, α i → Prop) (x : q.P α), LiftP p (abs x) ↔ LiftP p x #align mvqpf.liftp_preservation MvQPF.LiftPPreservation def SuppPreservation : Prop := ∀ ⦃α⦄ (x : q.P α), supp (abs x) = supp x #align mvqpf.supp_preservation MvQPF.SuppPreservation theorem supp_eq_of_isUniform (h : q.IsUniform) {α : TypeVec n} (a : q.P.A) (f : q.P.B a ⟹ α) : ∀ i, supp (abs ⟨a, f⟩) i = f i '' univ := by intro; ext u; rw [mem_supp]; constructor · intro h' apply h' _ _ rfl intro h' a' f' e rw [← h _ _ _ _ e.symm]; apply h' #align mvqpf.supp_eq_of_is_uniform MvQPF.supp_eq_of_isUniform theorem liftP_iff_of_isUniform (h : q.IsUniform) {α : TypeVec n} (x : F α) (p : ∀ i, α i → Prop) : LiftP p x ↔ ∀ (i), ∀ u ∈ supp x i, p i u := by rw [liftP_iff, ← abs_repr x] cases' repr x with a f; constructor · rintro ⟨a', f', abseq, hf⟩ u rw [supp_eq_of_isUniform h, h _ _ _ _ abseq] rintro b ⟨i, _, hi⟩ rw [← hi] apply hf intro h' refine ⟨a, f, rfl, fun _ i => h' _ _ ?_⟩ rw [supp_eq_of_isUniform h] exact ⟨i, mem_univ i, rfl⟩ #align mvqpf.liftp_iff_of_is_uniform MvQPF.liftP_iff_of_isUniform theorem supp_map (h : q.IsUniform) {α β : TypeVec n} (g : α ⟹ β) (x : F α) (i) : supp (g <$$> x) i = g i '' supp x i := by rw [← abs_repr x]; cases' repr x with a f; rw [← abs_map, MvPFunctor.map_eq] rw [supp_eq_of_isUniform h, supp_eq_of_isUniform h, ← image_comp] rfl #align mvqpf.supp_map MvQPF.supp_map theorem suppPreservation_iff_isUniform : q.SuppPreservation ↔ q.IsUniform := by constructor · intro h α a a' f f' h' i rw [← MvPFunctor.supp_eq, ← MvPFunctor.supp_eq, ← h, h', h] · rintro h α ⟨a, f⟩ ext rwa [supp_eq_of_isUniform, MvPFunctor.supp_eq] #align mvqpf.supp_preservation_iff_uniform MvQPF.suppPreservation_iff_isUniform
Mathlib/Data/QPF/Multivariate/Basic.lean
267
279
theorem suppPreservation_iff_liftpPreservation : q.SuppPreservation ↔ q.LiftPPreservation := by
constructor <;> intro h · rintro α p ⟨a, f⟩ have h' := h rw [suppPreservation_iff_isUniform] at h' dsimp only [SuppPreservation, supp] at h simp only [liftP_iff_of_isUniform, supp_eq_of_isUniform, MvPFunctor.liftP_iff', h', image_univ, mem_range, exists_imp] constructor <;> intros <;> subst_vars <;> solve_by_elim · rintro α ⟨a, f⟩ simp only [LiftPPreservation] at h ext simp only [supp, h, mem_setOf_eq]
import Mathlib.Order.Interval.Finset.Nat #align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" assert_not_exists MonoidWithZero open Finset Fin Function namespace Fin variable (n : ℕ) instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) := OrderIso.locallyFiniteOrder Fin.orderIsoSubtype instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) := OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n) | 0 => IsEmpty.toLocallyFiniteOrderTop | _ + 1 => inferInstance variable {n} (a b : Fin n) theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n := rfl #align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n := rfl #align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n := rfl #align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n := rfl #align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl #align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype @[simp] theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc @[simp] theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico @[simp] theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc @[simp] theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo @[simp] theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b := map_valEmbedding_Icc _ _ #align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := by rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map] #align fin.card_Icc Fin.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := by rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map] #align fin.card_Ico Fin.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := by rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map] #align fin.card_Ioc Fin.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := by rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map] #align fin.card_Ioo Fin.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map] #align fin.card_uIcc Fin.card_uIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by rw [← card_Icc, Fintype.card_ofFinset] #align fin.card_fintype_Icc Fin.card_fintypeIcc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by rw [← card_Ico, Fintype.card_ofFinset] #align fin.card_fintype_Ico Fin.card_fintypeIco -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by rw [← card_Ioc, Fintype.card_ofFinset] #align fin.card_fintype_Ioc Fin.card_fintypeIoc -- Porting note (#10618): simp can prove this -- @[simp] theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by rw [← card_Ioo, Fintype.card_ofFinset] #align fin.card_fintype_Ioo Fin.card_fintypeIoo
Mathlib/Order/Interval/Finset/Fin.lean
152
153
theorem card_fintype_uIcc : Fintype.card (Set.uIcc a b) = (b - a : ℤ).natAbs + 1 := by
rw [← card_uIcc, Fintype.card_ofFinset]
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.LinearAlgebra.Matrix.Block #align_import analysis.inner_product_space.gram_schmidt_ortho from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0" open Finset Submodule FiniteDimensional variable (𝕜 : Type*) {E : Type*} [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] variable {ι : Type*} [LinearOrder ι] [LocallyFiniteOrderBot ι] [IsWellOrder ι (· < ·)] attribute [local instance] IsWellOrder.toHasWellFounded local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y noncomputable def gramSchmidt [IsWellOrder ι (· < ·)] (f : ι → E) (n : ι) : E := f n - ∑ i : Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt f i) (f n) termination_by n decreasing_by exact mem_Iio.1 i.2 #align gram_schmidt gramSchmidt theorem gramSchmidt_def (f : ι → E) (n : ι) : gramSchmidt 𝕜 f n = f n - ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by rw [← sum_attach, attach_eq_univ, gramSchmidt] #align gram_schmidt_def gramSchmidt_def theorem gramSchmidt_def' (f : ι → E) (n : ι) : f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n, orthogonalProjection (𝕜 ∙ gramSchmidt 𝕜 f i) (f n) := by rw [gramSchmidt_def, sub_add_cancel] #align gram_schmidt_def' gramSchmidt_def' theorem gramSchmidt_def'' (f : ι → E) (n : ι) : f n = gramSchmidt 𝕜 f n + ∑ i ∈ Iio n, (⟪gramSchmidt 𝕜 f i, f n⟫ / (‖gramSchmidt 𝕜 f i‖ : 𝕜) ^ 2) • gramSchmidt 𝕜 f i := by convert gramSchmidt_def' 𝕜 f n rw [orthogonalProjection_singleton, RCLike.ofReal_pow] #align gram_schmidt_def'' gramSchmidt_def'' @[simp] theorem gramSchmidt_zero {ι : Type*} [LinearOrder ι] [LocallyFiniteOrder ι] [OrderBot ι] [IsWellOrder ι (· < ·)] (f : ι → E) : gramSchmidt 𝕜 f ⊥ = f ⊥ := by rw [gramSchmidt_def, Iio_eq_Ico, Finset.Ico_self, Finset.sum_empty, sub_zero] #align gram_schmidt_zero gramSchmidt_zero theorem gramSchmidt_orthogonal (f : ι → E) {a b : ι} (h₀ : a ≠ b) : ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := by suffices ∀ a b : ι, a < b → ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 by cases' h₀.lt_or_lt with ha hb · exact this _ _ ha · rw [inner_eq_zero_symm] exact this _ _ hb clear h₀ a b intro a b h₀ revert a apply wellFounded_lt.induction b intro b ih a h₀ simp only [gramSchmidt_def 𝕜 f b, inner_sub_right, inner_sum, orthogonalProjection_singleton, inner_smul_right] rw [Finset.sum_eq_single_of_mem a (Finset.mem_Iio.mpr h₀)] · by_cases h : gramSchmidt 𝕜 f a = 0 · simp only [h, inner_zero_left, zero_div, zero_mul, sub_zero] · rw [RCLike.ofReal_pow, ← inner_self_eq_norm_sq_to_K, div_mul_cancel₀, sub_self] rwa [inner_self_ne_zero] intro i hi hia simp only [mul_eq_zero, div_eq_zero_iff, inner_self_eq_zero] right cases' hia.lt_or_lt with hia₁ hia₂ · rw [inner_eq_zero_symm] exact ih a h₀ i hia₁ · exact ih i (mem_Iio.1 hi) a hia₂ #align gram_schmidt_orthogonal gramSchmidt_orthogonal theorem gramSchmidt_pairwise_orthogonal (f : ι → E) : Pairwise fun a b => ⟪gramSchmidt 𝕜 f a, gramSchmidt 𝕜 f b⟫ = 0 := fun _ _ => gramSchmidt_orthogonal 𝕜 f #align gram_schmidt_pairwise_orthogonal gramSchmidt_pairwise_orthogonal theorem gramSchmidt_inv_triangular (v : ι → E) {i j : ι} (hij : i < j) : ⟪gramSchmidt 𝕜 v j, v i⟫ = 0 := by rw [gramSchmidt_def'' 𝕜 v] simp only [inner_add_right, inner_sum, inner_smul_right] set b : ι → E := gramSchmidt 𝕜 v convert zero_add (0 : 𝕜) · exact gramSchmidt_orthogonal 𝕜 v hij.ne' apply Finset.sum_eq_zero rintro k hki' have hki : k < i := by simpa using hki' have : ⟪b j, b k⟫ = 0 := gramSchmidt_orthogonal 𝕜 v (hki.trans hij).ne' simp [this] #align gram_schmidt_inv_triangular gramSchmidt_inv_triangular open Submodule Set Order theorem mem_span_gramSchmidt (f : ι → E) {i j : ι} (hij : i ≤ j) : f i ∈ span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j) := by rw [gramSchmidt_def' 𝕜 f i] simp_rw [orthogonalProjection_singleton] exact Submodule.add_mem _ (subset_span <| mem_image_of_mem _ hij) (Submodule.sum_mem _ fun k hk => smul_mem (span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic j)) _ <| subset_span <| mem_image_of_mem (gramSchmidt 𝕜 f) <| (Finset.mem_Iio.1 hk).le.trans hij) #align mem_span_gram_schmidt mem_span_gramSchmidt theorem gramSchmidt_mem_span (f : ι → E) : ∀ {j i}, i ≤ j → gramSchmidt 𝕜 f i ∈ span 𝕜 (f '' Set.Iic j) := by intro j i hij rw [gramSchmidt_def 𝕜 f i] simp_rw [orthogonalProjection_singleton] refine Submodule.sub_mem _ (subset_span (mem_image_of_mem _ hij)) (Submodule.sum_mem _ fun k hk => ?_) let hkj : k < j := (Finset.mem_Iio.1 hk).trans_le hij exact smul_mem _ _ (span_mono (image_subset f <| Iic_subset_Iic.2 hkj.le) <| gramSchmidt_mem_span _ le_rfl) termination_by j => j #align gram_schmidt_mem_span gramSchmidt_mem_span theorem span_gramSchmidt_Iic (f : ι → E) (c : ι) : span 𝕜 (gramSchmidt 𝕜 f '' Set.Iic c) = span 𝕜 (f '' Set.Iic c) := span_eq_span (Set.image_subset_iff.2 fun _ => gramSchmidt_mem_span _ _) <| Set.image_subset_iff.2 fun _ => mem_span_gramSchmidt _ _ #align span_gram_schmidt_Iic span_gramSchmidt_Iic theorem span_gramSchmidt_Iio (f : ι → E) (c : ι) : span 𝕜 (gramSchmidt 𝕜 f '' Set.Iio c) = span 𝕜 (f '' Set.Iio c) := span_eq_span (Set.image_subset_iff.2 fun _ hi => span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| gramSchmidt_mem_span _ _ le_rfl) <| Set.image_subset_iff.2 fun _ hi => span_mono (image_subset _ <| Iic_subset_Iio.2 hi) <| mem_span_gramSchmidt _ _ le_rfl #align span_gram_schmidt_Iio span_gramSchmidt_Iio theorem span_gramSchmidt (f : ι → E) : span 𝕜 (range (gramSchmidt 𝕜 f)) = span 𝕜 (range f) := span_eq_span (range_subset_iff.2 fun _ => span_mono (image_subset_range _ _) <| gramSchmidt_mem_span _ _ le_rfl) <| range_subset_iff.2 fun _ => span_mono (image_subset_range _ _) <| mem_span_gramSchmidt _ _ le_rfl #align span_gram_schmidt span_gramSchmidt theorem gramSchmidt_of_orthogonal {f : ι → E} (hf : Pairwise fun i j => ⟪f i, f j⟫ = 0) : gramSchmidt 𝕜 f = f := by ext i rw [gramSchmidt_def] trans f i - 0 · congr apply Finset.sum_eq_zero intro j hj rw [Submodule.coe_eq_zero] suffices span 𝕜 (f '' Set.Iic j) ⟂ 𝕜 ∙ f i by apply orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero rw [mem_orthogonal_singleton_iff_inner_left] rw [← mem_orthogonal_singleton_iff_inner_right] exact this (gramSchmidt_mem_span 𝕜 f (le_refl j)) rw [isOrtho_span] rintro u ⟨k, hk, rfl⟩ v (rfl : v = f i) apply hf exact (lt_of_le_of_lt hk (Finset.mem_Iio.mp hj)).ne · simp #align gram_schmidt_of_orthogonal gramSchmidt_of_orthogonal variable {𝕜} theorem gramSchmidt_ne_zero_coe {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : gramSchmidt 𝕜 f n ≠ 0 := by by_contra h have h₁ : f n ∈ span 𝕜 (f '' Set.Iio n) := by rw [← span_gramSchmidt_Iio 𝕜 f n, gramSchmidt_def' 𝕜 f, h, zero_add] apply Submodule.sum_mem _ _ intro a ha simp only [Set.mem_image, Set.mem_Iio, orthogonalProjection_singleton] apply Submodule.smul_mem _ _ _ rw [Finset.mem_Iio] at ha exact subset_span ⟨a, ha, by rfl⟩ have h₂ : (f ∘ ((↑) : Set.Iic n → ι)) ⟨n, le_refl n⟩ ∈ span 𝕜 (f ∘ ((↑) : Set.Iic n → ι) '' Set.Iio ⟨n, le_refl n⟩) := by rw [image_comp] simpa using h₁ apply LinearIndependent.not_mem_span_image h₀ _ h₂ simp only [Set.mem_Iio, lt_self_iff_false, not_false_iff] #align gram_schmidt_ne_zero_coe gramSchmidt_ne_zero_coe theorem gramSchmidt_ne_zero {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) : gramSchmidt 𝕜 f n ≠ 0 := gramSchmidt_ne_zero_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective) #align gram_schmidt_ne_zero gramSchmidt_ne_zero theorem gramSchmidt_triangular {i j : ι} (hij : i < j) (b : Basis ι 𝕜 E) : b.repr (gramSchmidt 𝕜 b i) j = 0 := by have : gramSchmidt 𝕜 b i ∈ span 𝕜 (gramSchmidt 𝕜 b '' Set.Iio j) := subset_span ((Set.mem_image _ _ _).2 ⟨i, hij, rfl⟩) have : gramSchmidt 𝕜 b i ∈ span 𝕜 (b '' Set.Iio j) := by rwa [← span_gramSchmidt_Iio 𝕜 b j] have : ↑(b.repr (gramSchmidt 𝕜 b i)).support ⊆ Set.Iio j := Basis.repr_support_subset_of_mem_span b (Set.Iio j) this exact (Finsupp.mem_supported' _ _).1 ((Finsupp.mem_supported 𝕜 _).2 this) j Set.not_mem_Iio_self #align gram_schmidt_triangular gramSchmidt_triangular theorem gramSchmidt_linearIndependent {f : ι → E} (h₀ : LinearIndependent 𝕜 f) : LinearIndependent 𝕜 (gramSchmidt 𝕜 f) := linearIndependent_of_ne_zero_of_inner_eq_zero (fun _ => gramSchmidt_ne_zero _ h₀) fun _ _ => gramSchmidt_orthogonal 𝕜 f #align gram_schmidt_linear_independent gramSchmidt_linearIndependent noncomputable def gramSchmidtBasis (b : Basis ι 𝕜 E) : Basis ι 𝕜 E := Basis.mk (gramSchmidt_linearIndependent b.linearIndependent) ((span_gramSchmidt 𝕜 b).trans b.span_eq).ge #align gram_schmidt_basis gramSchmidtBasis theorem coe_gramSchmidtBasis (b : Basis ι 𝕜 E) : (gramSchmidtBasis b : ι → E) = gramSchmidt 𝕜 b := Basis.coe_mk _ _ #align coe_gram_schmidt_basis coe_gramSchmidtBasis variable (𝕜) noncomputable def gramSchmidtNormed (f : ι → E) (n : ι) : E := (‖gramSchmidt 𝕜 f n‖ : 𝕜)⁻¹ • gramSchmidt 𝕜 f n #align gram_schmidt_normed gramSchmidtNormed variable {𝕜} theorem gramSchmidtNormed_unit_length_coe {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 (f ∘ ((↑) : Set.Iic n → ι))) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := by simp only [gramSchmidt_ne_zero_coe n h₀, gramSchmidtNormed, norm_smul_inv_norm, Ne, not_false_iff] #align gram_schmidt_normed_unit_length_coe gramSchmidtNormed_unit_length_coe theorem gramSchmidtNormed_unit_length {f : ι → E} (n : ι) (h₀ : LinearIndependent 𝕜 f) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := gramSchmidtNormed_unit_length_coe _ (LinearIndependent.comp h₀ _ Subtype.coe_injective) #align gram_schmidt_normed_unit_length gramSchmidtNormed_unit_length theorem gramSchmidtNormed_unit_length' {f : ι → E} {n : ι} (hn : gramSchmidtNormed 𝕜 f n ≠ 0) : ‖gramSchmidtNormed 𝕜 f n‖ = 1 := by rw [gramSchmidtNormed] at * rw [norm_smul_inv_norm] simpa using hn #align gram_schmidt_normed_unit_length' gramSchmidtNormed_unit_length' theorem gramSchmidt_orthonormal {f : ι → E} (h₀ : LinearIndependent 𝕜 f) : Orthonormal 𝕜 (gramSchmidtNormed 𝕜 f) := by unfold Orthonormal constructor · simp only [gramSchmidtNormed_unit_length, h₀, eq_self_iff_true, imp_true_iff] · intro i j hij simp only [gramSchmidtNormed, inner_smul_left, inner_smul_right, RCLike.conj_inv, RCLike.conj_ofReal, mul_eq_zero, inv_eq_zero, RCLike.ofReal_eq_zero, norm_eq_zero] repeat' right exact gramSchmidt_orthogonal 𝕜 f hij #align gram_schmidt_orthonormal gramSchmidt_orthonormal
Mathlib/Analysis/InnerProductSpace/GramSchmidtOrtho.lean
300
305
theorem gramSchmidt_orthonormal' (f : ι → E) : Orthonormal 𝕜 fun i : { i | gramSchmidtNormed 𝕜 f i ≠ 0 } => gramSchmidtNormed 𝕜 f i := by
refine ⟨fun i => gramSchmidtNormed_unit_length' i.prop, ?_⟩ rintro i j (hij : ¬_) rw [Subtype.ext_iff] at hij simp [gramSchmidtNormed, inner_smul_left, inner_smul_right, gramSchmidt_orthogonal 𝕜 f hij]
import Mathlib.Data.Matroid.Dual open Set namespace Matroid variable {α : Type*} {M : Matroid α} {R I J X Y : Set α} section restrict @[simps] def restrictIndepMatroid (M : Matroid α) (R : Set α) : IndepMatroid α where E := R Indep I := M.Indep I ∧ I ⊆ R indep_empty := ⟨M.empty_indep, empty_subset _⟩ indep_subset := fun I J h hIJ ↦ ⟨h.1.subset hIJ, hIJ.trans h.2⟩ indep_aug := by rintro I I' ⟨hI, hIY⟩ (hIn : ¬ M.Basis' I R) (hI' : M.Basis' I' R) rw [basis'_iff_basis_inter_ground] at hIn hI' obtain ⟨B', hB', rfl⟩ := hI'.exists_base obtain ⟨B, hB, hIB, hBIB'⟩ := hI.exists_base_subset_union_base hB' rw [hB'.inter_basis_iff_compl_inter_basis_dual, diff_inter_diff] at hI' have hss : M.E \ (B' ∪ (R ∩ M.E)) ⊆ M.E \ (B ∪ (R ∩ M.E)) := by apply diff_subset_diff_right rw [union_subset_iff, and_iff_left subset_union_right, union_comm] exact hBIB'.trans (union_subset_union_left _ (subset_inter hIY hI.subset_ground)) have hi : M✶.Indep (M.E \ (B ∪ (R ∩ M.E))) := by rw [dual_indep_iff_exists] exact ⟨B, hB, disjoint_of_subset_right subset_union_left disjoint_sdiff_left⟩ have h_eq := hI'.eq_of_subset_indep hi hss (diff_subset_diff_right subset_union_right) rw [h_eq, ← diff_inter_diff, ← hB.inter_basis_iff_compl_inter_basis_dual] at hI' obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis_of_subset (subset_inter hIB (subset_inter hIY hI.subset_ground)) obtain rfl := hI'.indep.eq_of_basis hJ have hIJ' : I ⊂ B ∩ (R ∩ M.E) := hIJ.ssubset_of_ne (fun he ↦ hIn (by rwa [he])) obtain ⟨e, he⟩ := exists_of_ssubset hIJ' exact ⟨e, ⟨⟨(hBIB' he.1.1).elim (fun h ↦ (he.2 h).elim) id,he.1.2⟩, he.2⟩, hI'.indep.subset (insert_subset he.1 hIJ), insert_subset he.1.2.1 hIY⟩ indep_maximal := by rintro A hAX I ⟨hI, _⟩ hIA obtain ⟨J, hJ, hIJ⟩ := hI.subset_basis'_of_subset hIA; use J rw [mem_maximals_setOf_iff, and_iff_left hJ.subset, and_iff_left hIJ, and_iff_right ⟨hJ.indep, hJ.subset.trans hAX⟩] exact fun K ⟨⟨hK, _⟩, _, hKA⟩ hJK ↦ hJ.eq_of_subset_indep hK hJK hKA subset_ground I := And.right def restrict (M : Matroid α) (R : Set α) : Matroid α := (M.restrictIndepMatroid R).matroid scoped infixl:65 " ↾ " => Matroid.restrict @[simp] theorem restrict_indep_iff : (M ↾ R).Indep I ↔ M.Indep I ∧ I ⊆ R := Iff.rfl theorem Indep.indep_restrict_of_subset (h : M.Indep I) (hIR : I ⊆ R) : (M ↾ R).Indep I := restrict_indep_iff.mpr ⟨h,hIR⟩ theorem Indep.of_restrict (hI : (M ↾ R).Indep I) : M.Indep I := (restrict_indep_iff.1 hI).1 @[simp] theorem restrict_ground_eq : (M ↾ R).E = R := rfl theorem restrict_finite {R : Set α} (hR : R.Finite) : (M ↾ R).Finite := ⟨hR⟩ @[simp] theorem restrict_dep_iff : (M ↾ R).Dep X ↔ ¬ M.Indep X ∧ X ⊆ R := by rw [Dep, restrict_indep_iff, restrict_ground_eq]; tauto @[simp] theorem restrict_ground_eq_self (M : Matroid α) : (M ↾ M.E) = M := by refine eq_of_indep_iff_indep_forall rfl ?_; aesop
Mathlib/Data/Matroid/Restrict.lean
142
146
theorem restrict_restrict_eq {R₁ R₂ : Set α} (M : Matroid α) (hR : R₂ ⊆ R₁) : (M ↾ R₁) ↾ R₂ = M ↾ R₂ := by
refine eq_of_indep_iff_indep_forall rfl ?_ simp only [restrict_ground_eq, restrict_indep_iff, and_congr_left_iff, and_iff_left_iff_imp] exact fun _ h _ _ ↦ h.trans hR
import Mathlib.Analysis.PSeries import Mathlib.Data.Real.Pi.Wallis import Mathlib.Tactic.AdaptationNote #align_import analysis.special_functions.stirling from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open scoped Topology Real Nat Asymptotics open Finset Filter Nat Real namespace Stirling noncomputable def stirlingSeq (n : ℕ) : ℝ := n ! / (√(2 * n : ℝ) * (n / exp 1) ^ n) #align stirling.stirling_seq Stirling.stirlingSeq @[simp] theorem stirlingSeq_zero : stirlingSeq 0 = 0 := by rw [stirlingSeq, cast_zero, mul_zero, Real.sqrt_zero, zero_mul, div_zero] #align stirling.stirling_seq_zero Stirling.stirlingSeq_zero @[simp] theorem stirlingSeq_one : stirlingSeq 1 = exp 1 / √2 := by rw [stirlingSeq, pow_one, factorial_one, cast_one, mul_one, mul_one_div, one_div_div] #align stirling.stirling_seq_one Stirling.stirlingSeq_one
Mathlib/Analysis/SpecialFunctions/Stirling.lean
65
70
theorem log_stirlingSeq_formula (n : ℕ) : log (stirlingSeq n) = Real.log n ! - 1 / 2 * Real.log (2 * n) - n * log (n / exp 1) := by
cases n · simp · rw [stirlingSeq, log_div, log_mul, sqrt_eq_rpow, log_rpow, Real.log_pow, tsub_tsub] <;> positivity
import Mathlib.CategoryTheory.Sites.Plus import Mathlib.CategoryTheory.Limits.Shapes.ConcreteCategory #align_import category_theory.sites.sheafification from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory open CategoryTheory.Limits Opposite universe w v u variable {C : Type u} [Category.{v} C] {J : GrothendieckTopology C} variable {D : Type w} [Category.{max v u} D] section variable [ConcreteCategory.{max v u} D] attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike -- porting note (#5171): removed @[nolint has_nonempty_instance] def Meq {X : C} (P : Cᵒᵖ ⥤ D) (S : J.Cover X) := { x : ∀ I : S.Arrow, P.obj (op I.Y) // ∀ I : S.Relation, P.map I.g₁.op (x I.fst) = P.map I.g₂.op (x I.snd) } #align category_theory.meq CategoryTheory.Meq end namespace GrothendieckTopology variable (J) variable [∀ (P : Cᵒᵖ ⥤ D) (X : C) (S : J.Cover X), HasMultiequalizer (S.index P)] [∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ D] noncomputable def sheafify (P : Cᵒᵖ ⥤ D) : Cᵒᵖ ⥤ D := J.plusObj (J.plusObj P) #align category_theory.grothendieck_topology.sheafify CategoryTheory.GrothendieckTopology.sheafify noncomputable def toSheafify (P : Cᵒᵖ ⥤ D) : P ⟶ J.sheafify P := J.toPlus P ≫ J.plusMap (J.toPlus P) #align category_theory.grothendieck_topology.to_sheafify CategoryTheory.GrothendieckTopology.toSheafify noncomputable def sheafifyMap {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : J.sheafify P ⟶ J.sheafify Q := J.plusMap <| J.plusMap η #align category_theory.grothendieck_topology.sheafify_map CategoryTheory.GrothendieckTopology.sheafifyMap @[simp] theorem sheafifyMap_id (P : Cᵒᵖ ⥤ D) : J.sheafifyMap (𝟙 P) = 𝟙 (J.sheafify P) := by dsimp [sheafifyMap, sheafify] simp #align category_theory.grothendieck_topology.sheafify_map_id CategoryTheory.GrothendieckTopology.sheafifyMap_id @[simp] theorem sheafifyMap_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) : J.sheafifyMap (η ≫ γ) = J.sheafifyMap η ≫ J.sheafifyMap γ := by dsimp [sheafifyMap, sheafify] simp #align category_theory.grothendieck_topology.sheafify_map_comp CategoryTheory.GrothendieckTopology.sheafifyMap_comp @[reassoc (attr := simp)] theorem toSheafify_naturality {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : η ≫ J.toSheafify _ = J.toSheafify _ ≫ J.sheafifyMap η := by dsimp [sheafifyMap, sheafify, toSheafify] simp #align category_theory.grothendieck_topology.to_sheafify_naturality CategoryTheory.GrothendieckTopology.toSheafify_naturality variable (D) noncomputable def sheafification : (Cᵒᵖ ⥤ D) ⥤ Cᵒᵖ ⥤ D := J.plusFunctor D ⋙ J.plusFunctor D #align category_theory.grothendieck_topology.sheafification CategoryTheory.GrothendieckTopology.sheafification @[simp] theorem sheafification_obj (P : Cᵒᵖ ⥤ D) : (J.sheafification D).obj P = J.sheafify P := rfl #align category_theory.grothendieck_topology.sheafification_obj CategoryTheory.GrothendieckTopology.sheafification_obj @[simp] theorem sheafification_map {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : (J.sheafification D).map η = J.sheafifyMap η := rfl #align category_theory.grothendieck_topology.sheafification_map CategoryTheory.GrothendieckTopology.sheafification_map noncomputable def toSheafification : 𝟭 _ ⟶ sheafification J D := J.toPlusNatTrans D ≫ whiskerRight (J.toPlusNatTrans D) (J.plusFunctor D) #align category_theory.grothendieck_topology.to_sheafification CategoryTheory.GrothendieckTopology.toSheafification @[simp] theorem toSheafification_app (P : Cᵒᵖ ⥤ D) : (J.toSheafification D).app P = J.toSheafify P := rfl #align category_theory.grothendieck_topology.to_sheafification_app CategoryTheory.GrothendieckTopology.toSheafification_app variable {D} theorem isIso_toSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : IsIso (J.toSheafify P) := by dsimp [toSheafify] haveI := isIso_toPlus_of_isSheaf J P hP change (IsIso (toPlus J P ≫ (J.plusFunctor D).map (toPlus J P))) infer_instance #align category_theory.grothendieck_topology.is_iso_to_sheafify CategoryTheory.GrothendieckTopology.isIso_toSheafify noncomputable def isoSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : P ≅ J.sheafify P := letI := isIso_toSheafify J hP asIso (J.toSheafify P) #align category_theory.grothendieck_topology.iso_sheafify CategoryTheory.GrothendieckTopology.isoSheafify @[simp] theorem isoSheafify_hom {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : (J.isoSheafify hP).hom = J.toSheafify P := rfl #align category_theory.grothendieck_topology.iso_sheafify_hom CategoryTheory.GrothendieckTopology.isoSheafify_hom noncomputable def sheafifyLift {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) : J.sheafify P ⟶ Q := J.plusLift (J.plusLift η hQ) hQ #align category_theory.grothendieck_topology.sheafify_lift CategoryTheory.GrothendieckTopology.sheafifyLift @[reassoc (attr := simp)] theorem toSheafify_sheafifyLift {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) : J.toSheafify P ≫ sheafifyLift J η hQ = η := by dsimp only [sheafifyLift, toSheafify] simp #align category_theory.grothendieck_topology.to_sheafify_sheafify_lift CategoryTheory.GrothendieckTopology.toSheafify_sheafifyLift theorem sheafifyLift_unique {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) (γ : J.sheafify P ⟶ Q) : J.toSheafify P ≫ γ = η → γ = sheafifyLift J η hQ := by intro h apply plusLift_unique apply plusLift_unique rw [← Category.assoc, ← plusMap_toPlus] exact h #align category_theory.grothendieck_topology.sheafify_lift_unique CategoryTheory.GrothendieckTopology.sheafifyLift_unique @[simp]
Mathlib/CategoryTheory/Sites/ConcreteSheafification.lean
571
574
theorem isoSheafify_inv {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : (J.isoSheafify hP).inv = J.sheafifyLift (𝟙 _) hP := by
apply J.sheafifyLift_unique simp [Iso.comp_inv_eq]
import Mathlib.AlgebraicTopology.SplitSimplicialObject import Mathlib.AlgebraicTopology.DoldKan.Degeneracies import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.split_simplicial_object from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Limits CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Idempotents Opposite AlgebraicTopology AlgebraicTopology.DoldKan Simplicial DoldKan namespace SimplicialObject namespace Splitting variable {C : Type*} [Category C] {X : SimplicialObject C} (s : Splitting X) noncomputable def πSummand [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : X.obj Δ ⟶ s.N A.1.unop.len := s.desc Δ (fun B => by by_cases h : B = A · exact eqToHom (by subst h; rfl) · exact 0) #align simplicial_object.splitting.π_summand SimplicialObject.Splitting.πSummand @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_id [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : (s.cofan Δ).inj A ≫ s.πSummand A = 𝟙 _ := by simp [πSummand] #align simplicial_object.splitting.ι_π_summand_eq_id SimplicialObject.Splitting.cofan_inj_πSummand_eq_id @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_zero [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A B : IndexSet Δ) (h : B ≠ A) : (s.cofan Δ).inj A ≫ s.πSummand B = 0 := by dsimp [πSummand] rw [ι_desc, dif_neg h.symm] #align simplicial_object.splitting.ι_π_summand_eq_zero SimplicialObject.Splitting.cofan_inj_πSummand_eq_zero variable [Preadditive C] theorem decomposition_id (Δ : SimplexCategoryᵒᵖ) : 𝟙 (X.obj Δ) = ∑ A : IndexSet Δ, s.πSummand A ≫ (s.cofan Δ).inj A := by apply s.hom_ext' intro A dsimp erw [comp_id, comp_sum, Finset.sum_eq_single A, cofan_inj_πSummand_eq_id_assoc] · intro B _ h₂ rw [s.cofan_inj_πSummand_eq_zero_assoc _ _ h₂, zero_comp] · simp #align simplicial_object.splitting.decomposition_id SimplicialObject.Splitting.decomposition_id @[reassoc (attr := simp)] theorem σ_comp_πSummand_id_eq_zero {n : ℕ} (i : Fin (n + 1)) : X.σ i ≫ s.πSummand (IndexSet.id (op [n + 1])) = 0 := by apply s.hom_ext' intro A dsimp only [SimplicialObject.σ] rw [comp_zero, s.cofan_inj_epi_naturality_assoc A (SimplexCategory.σ i).op, cofan_inj_πSummand_eq_zero] rw [ne_comm] change ¬(A.epiComp (SimplexCategory.σ i).op).EqId rw [IndexSet.eqId_iff_len_eq] have h := SimplexCategory.len_le_of_epi (inferInstance : Epi A.e) dsimp at h ⊢ omega #align simplicial_object.splitting.σ_comp_π_summand_id_eq_zero SimplicialObject.Splitting.σ_comp_πSummand_id_eq_zero theorem cofan_inj_comp_PInfty_eq_zero {X : SimplicialObject C} (s : SimplicialObject.Splitting X) {n : ℕ} (A : SimplicialObject.Splitting.IndexSet (op [n])) (hA : ¬A.EqId) : (s.cofan _).inj A ≫ PInfty.f n = 0 := by rw [SimplicialObject.Splitting.IndexSet.eqId_iff_mono] at hA rw [SimplicialObject.Splitting.cofan_inj_eq, assoc, degeneracy_comp_PInfty X n A.e hA, comp_zero] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.ι_summand_comp_P_infty_eq_zero SimplicialObject.Splitting.cofan_inj_comp_PInfty_eq_zero
Mathlib/AlgebraicTopology/DoldKan/SplitSimplicialObject.lean
99
122
theorem comp_PInfty_eq_zero_iff {Z : C} {n : ℕ} (f : Z ⟶ X _[n]) : f ≫ PInfty.f n = 0 ↔ f ≫ s.πSummand (IndexSet.id (op [n])) = 0 := by
constructor · intro h rcases n with _|n · dsimp at h rw [comp_id] at h rw [h, zero_comp] · have h' := f ≫= PInfty_f_add_QInfty_f (n + 1) dsimp at h' rw [comp_id, comp_add, h, zero_add] at h' rw [← h', assoc, QInfty_f, decomposition_Q, Preadditive.sum_comp, Preadditive.comp_sum, Finset.sum_eq_zero] intro i _ simp only [assoc, σ_comp_πSummand_id_eq_zero, comp_zero] · intro h rw [← comp_id f, assoc, s.decomposition_id, Preadditive.sum_comp, Preadditive.comp_sum, Fintype.sum_eq_zero] intro A by_cases hA : A.EqId · dsimp at hA subst hA rw [assoc, reassoc_of% h, zero_comp] · simp only [assoc, s.cofan_inj_comp_PInfty_eq_zero A hA, comp_zero]
import Mathlib.Topology.Algebra.Nonarchimedean.Basic import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Algebra.Module.Submodule.Pointwise #align_import topology.algebra.nonarchimedean.bases from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Set Filter Function Lattice open Topology Filter Pointwise structure RingSubgroupsBasis {A ι : Type*} [Ring A] (B : ι → AddSubgroup A) : Prop where inter : ∀ i j, ∃ k, B k ≤ B i ⊓ B j mul : ∀ i, ∃ j, (B j : Set A) * B j ⊆ B i leftMul : ∀ x : A, ∀ i, ∃ j, (B j : Set A) ⊆ (x * ·) ⁻¹' B i rightMul : ∀ x : A, ∀ i, ∃ j, (B j : Set A) ⊆ (· * x) ⁻¹' B i #align ring_subgroups_basis RingSubgroupsBasis variable {ι R A : Type*} [CommRing R] [CommRing A] [Algebra R A] structure SubmodulesRingBasis (B : ι → Submodule R A) : Prop where inter : ∀ i j, ∃ k, B k ≤ B i ⊓ B j leftMul : ∀ (a : A) (i), ∃ j, a • B j ≤ B i mul : ∀ i, ∃ j, (B j : Set A) * B j ⊆ B i #align submodules_ring_basis SubmodulesRingBasis variable {M : Type*} [AddCommGroup M] [Module R M] structure SubmodulesBasis [TopologicalSpace R] (B : ι → Submodule R M) : Prop where inter : ∀ i j, ∃ k, B k ≤ B i ⊓ B j smul : ∀ (m : M) (i : ι), ∀ᶠ a in 𝓝 (0 : R), a • m ∈ B i #align submodules_basis SubmodulesBasis namespace SubmodulesBasis variable [TopologicalSpace R] [Nonempty ι] {B : ι → Submodule R M} (hB : SubmodulesBasis B) def toModuleFilterBasis : ModuleFilterBasis R M where sets := { U | ∃ i, U = B i } nonempty := by inhabit ι exact ⟨B default, default, rfl⟩ inter_sets := by rintro _ _ ⟨i, rfl⟩ ⟨j, rfl⟩ cases' hB.inter i j with k hk use B k constructor · use k · exact hk zero' := by rintro _ ⟨i, rfl⟩ exact (B i).zero_mem add' := by rintro _ ⟨i, rfl⟩ use B i constructor · use i · rintro x ⟨y, y_in, z, z_in, rfl⟩ exact (B i).add_mem y_in z_in neg' := by rintro _ ⟨i, rfl⟩ use B i constructor · use i · intro x x_in exact (B i).neg_mem x_in conj' := by rintro x₀ _ ⟨i, rfl⟩ use B i constructor · use i · simp smul' := by rintro _ ⟨i, rfl⟩ use univ constructor · exact univ_mem · use B i constructor · use i · rintro _ ⟨a, -, m, hm, rfl⟩ exact (B i).smul_mem _ hm smul_left' := by rintro x₀ _ ⟨i, rfl⟩ use B i constructor · use i · intro m exact (B i).smul_mem _ smul_right' := by rintro m₀ _ ⟨i, rfl⟩ exact hB.smul m₀ i #align submodules_basis.to_module_filter_basis SubmodulesBasis.toModuleFilterBasis def topology : TopologicalSpace M := hB.toModuleFilterBasis.toAddGroupFilterBasis.topology #align submodules_basis.topology SubmodulesBasis.topology def openAddSubgroup (i : ι) : @OpenAddSubgroup M _ hB.topology := let _ := hB.topology -- Porting note: failed to synthesize instance `TopologicalSpace A` { (B i).toAddSubgroup with isOpen' := by letI := hB.topology rw [isOpen_iff_mem_nhds] intro a a_in rw [(hB.toModuleFilterBasis.toAddGroupFilterBasis.nhds_hasBasis a).mem_iff] use B i constructor · use i · rintro - ⟨b, b_in, rfl⟩ exact (B i).add_mem a_in b_in } #align submodules_basis.open_add_subgroup SubmodulesBasis.openAddSubgroup -- see Note [nonarchimedean non instances]
Mathlib/Topology/Algebra/Nonarchimedean/Bases.lean
339
345
theorem nonarchimedean (hB : SubmodulesBasis B) : @NonarchimedeanAddGroup M _ hB.topology := by
letI := hB.topology constructor intro U hU obtain ⟨-, ⟨i, rfl⟩, hi : (B i : Set M) ⊆ U⟩ := hB.toModuleFilterBasis.toAddGroupFilterBasis.nhds_zero_hasBasis.mem_iff.mp hU exact ⟨hB.openAddSubgroup i, hi⟩