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import Mathlib.Data.Finset.Basic import Mathlib.Data.Set.Lattice #align_import data.set.constructions from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" variable {α : Type*} (S : Set (Set α)) structure FiniteInter : Prop where univ_mem : Set.univ ∈ S inter_mem : ∀ ⦃s⦄, s ∈ S → ∀ ⦃t⦄, t ∈ S → s ∩ t ∈ S #align has_finite_inter FiniteInter namespace FiniteInter inductive finiteInterClosure : Set (Set α) | basic {s} : s ∈ S → finiteInterClosure s | univ : finiteInterClosure Set.univ | inter {s t} : finiteInterClosure s → finiteInterClosure t → finiteInterClosure (s ∩ t) #align has_finite_inter.finite_inter_closure FiniteInter.finiteInterClosure theorem finiteInterClosure_finiteInter : FiniteInter (finiteInterClosure S) := { univ_mem := finiteInterClosure.univ inter_mem := fun _ h _ => finiteInterClosure.inter h } #align has_finite_inter.finite_inter_closure_has_finite_inter FiniteInter.finiteInterClosure_finiteInter variable {S}
Mathlib/Data/Set/Constructions.lean
54
63
theorem finiteInter_mem (cond : FiniteInter S) (F : Finset (Set α)) : ↑F ⊆ S → ⋂₀ (↑F : Set (Set α)) ∈ S := by
classical refine Finset.induction_on F (fun _ => ?_) ?_ · simp [cond.univ_mem] · intro a s _ h1 h2 suffices a ∩ ⋂₀ ↑s ∈ S by simpa exact cond.inter_mem (h2 (Finset.mem_insert_self a s)) (h1 fun x hx => h2 <| Finset.mem_insert_of_mem hx)
8
import Mathlib.Probability.Notation import Mathlib.Probability.Integration import Mathlib.MeasureTheory.Function.L2Space #align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open MeasureTheory Filter Finset noncomputable section open scoped MeasureTheory ProbabilityTheory ENNReal NNReal namespace ProbabilityTheory -- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4 private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl -- Porting note: Consider if `evariance` or `eVariance` is better. Also, -- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`. def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ := ∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ #align probability_theory.evariance ProbabilityTheory.evariance def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ := (evariance X μ).toReal #align probability_theory.variance ProbabilityTheory.variance variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω} theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) : evariance X μ < ∞ := by have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2 rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this simp_rw [ENNReal.rpow_two] at this exact this #align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) : evariance X μ = ∞ := by by_contra h rw [← Ne, ← lt_top_iff_ne_top] at h have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩ rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top] simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne] exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne refine hX ?_ -- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem, -- and `convert` cannot disambiguate based on typeclass inference failure. convert this.add (memℒp_const <| μ [X]) ext ω rw [Pi.add_apply, sub_add_cancel] #align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) : evariance X μ < ∞ ↔ Memℒp X 2 μ := by refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩ contrapose rw [not_lt, top_le_iff] exact evariance_eq_top hX #align probability_theory.evariance_lt_top_iff_mem_ℒp ProbabilityTheory.evariance_lt_top_iff_memℒp theorem _root_.MeasureTheory.Memℒp.ofReal_variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) : ENNReal.ofReal (variance X μ) = evariance X μ := by rw [variance, ENNReal.ofReal_toReal] exact hX.evariance_lt_top.ne #align measure_theory.mem_ℒp.of_real_variance_eq MeasureTheory.Memℒp.ofReal_variance_eq theorem evariance_eq_lintegral_ofReal (X : Ω → ℝ) (μ : Measure Ω) : evariance X μ = ∫⁻ ω, ENNReal.ofReal ((X ω - μ[X]) ^ 2) ∂μ := by rw [evariance] congr ext1 ω rw [pow_two, ← ENNReal.coe_mul, ← nnnorm_mul, ← pow_two] congr exact (Real.toNNReal_eq_nnnorm_of_nonneg <| sq_nonneg _).symm #align probability_theory.evariance_eq_lintegral_of_real ProbabilityTheory.evariance_eq_lintegral_ofReal
Mathlib/Probability/Variance.lean
116
125
theorem _root_.MeasureTheory.Memℒp.variance_eq_of_integral_eq_zero (hX : Memℒp X 2 μ) (hXint : μ[X] = 0) : variance X μ = μ[X ^ (2 : Nat)] := by
rw [variance, evariance_eq_lintegral_ofReal, ← ofReal_integral_eq_lintegral_ofReal, ENNReal.toReal_ofReal (by positivity)] <;> simp_rw [hXint, sub_zero] · rfl · convert hX.integrable_norm_rpow two_ne_zero ENNReal.two_ne_top with ω simp only [Pi.sub_apply, Real.norm_eq_abs, coe_two, ENNReal.one_toReal, Real.rpow_two, sq_abs, abs_pow] · exact ae_of_all _ fun ω => pow_two_nonneg _
8
import Mathlib.Topology.Defs.Induced import Mathlib.Topology.Basic #align_import topology.order from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Function Set Filter Topology universe u v w namespace TopologicalSpace variable {α : Type u} inductive GenerateOpen (g : Set (Set α)) : Set α → Prop | basic : ∀ s ∈ g, GenerateOpen g s | univ : GenerateOpen g univ | inter : ∀ s t, GenerateOpen g s → GenerateOpen g t → GenerateOpen g (s ∩ t) | sUnion : ∀ S : Set (Set α), (∀ s ∈ S, GenerateOpen g s) → GenerateOpen g (⋃₀ S) #align topological_space.generate_open TopologicalSpace.GenerateOpen def generateFrom (g : Set (Set α)) : TopologicalSpace α where IsOpen := GenerateOpen g isOpen_univ := GenerateOpen.univ isOpen_inter := GenerateOpen.inter isOpen_sUnion := GenerateOpen.sUnion #align topological_space.generate_from TopologicalSpace.generateFrom theorem isOpen_generateFrom_of_mem {g : Set (Set α)} {s : Set α} (hs : s ∈ g) : IsOpen[generateFrom g] s := GenerateOpen.basic s hs #align topological_space.is_open_generate_from_of_mem TopologicalSpace.isOpen_generateFrom_of_mem theorem nhds_generateFrom {g : Set (Set α)} {a : α} : @nhds α (generateFrom g) a = ⨅ s ∈ { s | a ∈ s ∧ s ∈ g }, 𝓟 s := by letI := generateFrom g rw [nhds_def] refine le_antisymm (biInf_mono fun s ⟨as, sg⟩ => ⟨as, .basic _ sg⟩) <| le_iInf₂ ?_ rintro s ⟨ha, hs⟩ induction hs with | basic _ hs => exact iInf₂_le _ ⟨ha, hs⟩ | univ => exact le_top.trans_eq principal_univ.symm | inter _ _ _ _ hs ht => exact (le_inf (hs ha.1) (ht ha.2)).trans_eq inf_principal | sUnion _ _ hS => let ⟨t, htS, hat⟩ := ha exact (hS t htS hat).trans (principal_mono.2 <| subset_sUnion_of_mem htS) #align topological_space.nhds_generate_from TopologicalSpace.nhds_generateFrom lemma tendsto_nhds_generateFrom_iff {β : Type*} {m : α → β} {f : Filter α} {g : Set (Set β)} {b : β} : Tendsto m f (@nhds β (generateFrom g) b) ↔ ∀ s ∈ g, b ∈ s → m ⁻¹' s ∈ f := by simp only [nhds_generateFrom, @forall_swap (b ∈ _), tendsto_iInf, mem_setOf_eq, and_imp, tendsto_principal]; rfl @[deprecated] alias ⟨_, tendsto_nhds_generateFrom⟩ := tendsto_nhds_generateFrom_iff #align topological_space.tendsto_nhds_generate_from TopologicalSpace.tendsto_nhds_generateFrom protected def mkOfNhds (n : α → Filter α) : TopologicalSpace α where IsOpen s := ∀ a ∈ s, s ∈ n a isOpen_univ _ _ := univ_mem isOpen_inter := fun _s _t hs ht x ⟨hxs, hxt⟩ => inter_mem (hs x hxs) (ht x hxt) isOpen_sUnion := fun _s hs _a ⟨x, hx, hxa⟩ => mem_of_superset (hs x hx _ hxa) (subset_sUnion_of_mem hx) #align topological_space.mk_of_nhds TopologicalSpace.mkOfNhds
Mathlib/Topology/Order.lean
110
121
theorem nhds_mkOfNhds_of_hasBasis {n : α → Filter α} {ι : α → Sort*} {p : ∀ a, ι a → Prop} {s : ∀ a, ι a → Set α} (hb : ∀ a, (n a).HasBasis (p a) (s a)) (hpure : ∀ a i, p a i → a ∈ s a i) (hopen : ∀ a i, p a i → ∀ᶠ x in n a, s a i ∈ n x) (a : α) : @nhds α (.mkOfNhds n) a = n a := by
let t : TopologicalSpace α := .mkOfNhds n apply le_antisymm · intro U hU replace hpure : pure ≤ n := fun x ↦ (hb x).ge_iff.2 (hpure x) refine mem_nhds_iff.2 ⟨{x | U ∈ n x}, fun x hx ↦ hpure x hx, fun x hx ↦ ?_, hU⟩ rcases (hb x).mem_iff.1 hx with ⟨i, hpi, hi⟩ exact (hopen x i hpi).mono fun y hy ↦ mem_of_superset hy hi · exact (nhds_basis_opens a).ge_iff.2 fun U ⟨haU, hUo⟩ ↦ hUo a haU
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import Mathlib.Data.Int.Order.Units import Mathlib.Data.ZMod.IntUnitsPower import Mathlib.RingTheory.TensorProduct.Basic import Mathlib.LinearAlgebra.DirectSum.TensorProduct import Mathlib.Algebra.DirectSum.Algebra suppress_compilation open scoped TensorProduct DirectSum variable {R ι A B : Type*} namespace TensorProduct variable [CommSemiring ι] [Module ι (Additive ℤˣ)] [DecidableEq ι] variable (𝒜 : ι → Type*) (ℬ : ι → Type*) variable [CommRing R] variable [∀ i, AddCommGroup (𝒜 i)] [∀ i, AddCommGroup (ℬ i)] variable [∀ i, Module R (𝒜 i)] [∀ i, Module R (ℬ i)] variable [DirectSum.GRing 𝒜] [DirectSum.GRing ℬ] variable [DirectSum.GAlgebra R 𝒜] [DirectSum.GAlgebra R ℬ] -- this helps with performance instance (i : ι × ι) : Module R (𝒜 (Prod.fst i) ⊗[R] ℬ (Prod.snd i)) := TensorProduct.leftModule open DirectSum (lof) variable (R) section gradedComm local notation "𝒜ℬ" => (fun i : ι × ι => 𝒜 (Prod.fst i) ⊗[R] ℬ (Prod.snd i)) local notation "ℬ𝒜" => (fun i : ι × ι => ℬ (Prod.fst i) ⊗[R] 𝒜 (Prod.snd i)) def gradedCommAux : DirectSum _ 𝒜ℬ →ₗ[R] DirectSum _ ℬ𝒜 := by refine DirectSum.toModule R _ _ fun i => ?_ have o := DirectSum.lof R _ ℬ𝒜 i.swap have s : ℤˣ := ((-1 : ℤˣ)^(i.1* i.2 : ι) : ℤˣ) exact (s • o) ∘ₗ (TensorProduct.comm R _ _).toLinearMap @[simp] theorem gradedCommAux_lof_tmul (i j : ι) (a : 𝒜 i) (b : ℬ j) : gradedCommAux R 𝒜 ℬ (lof R _ 𝒜ℬ (i, j) (a ⊗ₜ b)) = (-1 : ℤˣ)^(j * i) • lof R _ ℬ𝒜 (j, i) (b ⊗ₜ a) := by rw [gradedCommAux] dsimp simp [mul_comm i j] @[simp] theorem gradedCommAux_comp_gradedCommAux : gradedCommAux R 𝒜 ℬ ∘ₗ gradedCommAux R ℬ 𝒜 = LinearMap.id := by ext i a b dsimp rw [gradedCommAux_lof_tmul, LinearMap.map_smul_of_tower, gradedCommAux_lof_tmul, smul_smul, mul_comm i.2 i.1, Int.units_mul_self, one_smul] def gradedComm : (⨁ i, 𝒜 i) ⊗[R] (⨁ i, ℬ i) ≃ₗ[R] (⨁ i, ℬ i) ⊗[R] (⨁ i, 𝒜 i) := by refine TensorProduct.directSum R R 𝒜 ℬ ≪≫ₗ ?_ ≪≫ₗ (TensorProduct.directSum R R ℬ 𝒜).symm exact LinearEquiv.ofLinear (gradedCommAux _ _ _) (gradedCommAux _ _ _) (gradedCommAux_comp_gradedCommAux _ _ _) (gradedCommAux_comp_gradedCommAux _ _ _) @[simp] theorem gradedComm_symm : (gradedComm R 𝒜 ℬ).symm = gradedComm R ℬ 𝒜 := by rw [gradedComm, gradedComm, LinearEquiv.trans_symm, LinearEquiv.symm_symm] ext rfl theorem gradedComm_of_tmul_of (i j : ι) (a : 𝒜 i) (b : ℬ j) : gradedComm R 𝒜 ℬ (lof R _ 𝒜 i a ⊗ₜ lof R _ ℬ j b) = (-1 : ℤˣ)^(j * i) • (lof R _ ℬ _ b ⊗ₜ lof R _ 𝒜 _ a) := by rw [gradedComm] dsimp only [LinearEquiv.trans_apply, LinearEquiv.ofLinear_apply] rw [TensorProduct.directSum_lof_tmul_lof, gradedCommAux_lof_tmul, Units.smul_def, -- Note: #8386 specialized `map_smul` to `LinearEquiv.map_smul` to avoid timeouts. zsmul_eq_smul_cast R, LinearEquiv.map_smul, TensorProduct.directSum_symm_lof_tmul, ← zsmul_eq_smul_cast, ← Units.smul_def]
Mathlib/LinearAlgebra/TensorProduct/Graded/External.lean
126
135
theorem gradedComm_tmul_of_zero (a : ⨁ i, 𝒜 i) (b : ℬ 0) : gradedComm R 𝒜 ℬ (a ⊗ₜ lof R _ ℬ 0 b) = lof R _ ℬ _ b ⊗ₜ a := by
suffices (gradedComm R 𝒜 ℬ).toLinearMap ∘ₗ (TensorProduct.mk R (⨁ i, 𝒜 i) (⨁ i, ℬ i)).flip (lof R _ ℬ 0 b) = TensorProduct.mk R _ _ (lof R _ ℬ 0 b) from DFunLike.congr_fun this a ext i a dsimp rw [gradedComm_of_tmul_of, zero_mul, uzpow_zero, one_smul]
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import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics #align_import analysis.special_functions.pow.continuity from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" noncomputable section open scoped Classical open Real Topology NNReal ENNReal Filter ComplexConjugate open Filter Finset Set section CpowLimits open Complex variable {α : Type*} theorem zero_cpow_eq_nhds {b : ℂ} (hb : b ≠ 0) : (fun x : ℂ => (0 : ℂ) ^ x) =ᶠ[𝓝 b] 0 := by suffices ∀ᶠ x : ℂ in 𝓝 b, x ≠ 0 from this.mono fun x hx ↦ by dsimp only rw [zero_cpow hx, Pi.zero_apply] exact IsOpen.eventually_mem isOpen_ne hb #align zero_cpow_eq_nhds zero_cpow_eq_nhds theorem cpow_eq_nhds {a b : ℂ} (ha : a ≠ 0) : (fun x => x ^ b) =ᶠ[𝓝 a] fun x => exp (log x * b) := by suffices ∀ᶠ x : ℂ in 𝓝 a, x ≠ 0 from this.mono fun x hx ↦ by dsimp only rw [cpow_def_of_ne_zero hx] exact IsOpen.eventually_mem isOpen_ne ha #align cpow_eq_nhds cpow_eq_nhds
Mathlib/Analysis/SpecialFunctions/Pow/Continuity.lean
53
62
theorem cpow_eq_nhds' {p : ℂ × ℂ} (hp_fst : p.fst ≠ 0) : (fun x => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) := by
suffices ∀ᶠ x : ℂ × ℂ in 𝓝 p, x.1 ≠ 0 from this.mono fun x hx ↦ by dsimp only rw [cpow_def_of_ne_zero hx] refine IsOpen.eventually_mem ?_ hp_fst change IsOpen { x : ℂ × ℂ | x.1 = 0 }ᶜ rw [isOpen_compl_iff] exact isClosed_eq continuous_fst continuous_const
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import Mathlib.Data.Fintype.Card import Mathlib.Data.Finset.Sum import Mathlib.Logic.Embedding.Set #align_import data.fintype.sum from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" universe u v variable {α β : Type*} open Finset instance (α : Type u) (β : Type v) [Fintype α] [Fintype β] : Fintype (Sum α β) where elems := univ.disjSum univ complete := by rintro (_ | _) <;> simp @[simp] theorem Finset.univ_disjSum_univ {α β : Type*} [Fintype α] [Fintype β] : univ.disjSum univ = (univ : Finset (Sum α β)) := rfl #align finset.univ_disj_sum_univ Finset.univ_disjSum_univ @[simp] theorem Fintype.card_sum [Fintype α] [Fintype β] : Fintype.card (Sum α β) = Fintype.card α + Fintype.card β := card_disjSum _ _ #align fintype.card_sum Fintype.card_sum def fintypeOfFintypeNe (a : α) (h : Fintype { b // b ≠ a }) : Fintype α := Fintype.ofBijective (Sum.elim ((↑) : { b // b = a } → α) ((↑) : { b // b ≠ a } → α)) <| by classical exact (Equiv.sumCompl (· = a)).bijective #align fintype_of_fintype_ne fintypeOfFintypeNe theorem image_subtype_ne_univ_eq_image_erase [Fintype α] [DecidableEq β] (k : β) (b : α → β) : image (fun i : { a // b a ≠ k } => b ↑i) univ = (image b univ).erase k := by apply subset_antisymm · rw [image_subset_iff] intro i _ apply mem_erase_of_ne_of_mem i.2 (mem_image_of_mem _ (mem_univ _)) · intro i hi rw [mem_image] rcases mem_image.1 (erase_subset _ _ hi) with ⟨a, _, ha⟩ subst ha exact ⟨⟨a, ne_of_mem_erase hi⟩, mem_univ _, rfl⟩ #align image_subtype_ne_univ_eq_image_erase image_subtype_ne_univ_eq_image_erase theorem image_subtype_univ_ssubset_image_univ [Fintype α] [DecidableEq β] (k : β) (b : α → β) (hk : k ∈ Finset.image b univ) (p : β → Prop) [DecidablePred p] (hp : ¬p k) : image (fun i : { a // p (b a) } => b ↑i) univ ⊂ image b univ := by constructor · intro x hx rcases mem_image.1 hx with ⟨y, _, hy⟩ exact hy ▸ mem_image_of_mem b (mem_univ (y : α)) · intro h rw [mem_image] at hk rcases hk with ⟨k', _, hk'⟩ subst hk' have := h (mem_image_of_mem b (mem_univ k')) rw [mem_image] at this rcases this with ⟨j, _, hj'⟩ exact hp (hj' ▸ j.2) #align image_subtype_univ_ssubset_image_univ image_subtype_univ_ssubset_image_univ theorem Finset.exists_equiv_extend_of_card_eq [Fintype α] [DecidableEq β] {t : Finset β} (hαt : Fintype.card α = t.card) {s : Finset α} {f : α → β} (hfst : Finset.image f s ⊆ t) (hfs : Set.InjOn f s) : ∃ g : α ≃ t, ∀ i ∈ s, (g i : β) = f i := by classical induction' s using Finset.induction with a s has H generalizing f · obtain ⟨e⟩ : Nonempty (α ≃ ↥t) := by rwa [← Fintype.card_eq, Fintype.card_coe] use e simp have hfst' : Finset.image f s ⊆ t := (Finset.image_mono _ (s.subset_insert a)).trans hfst have hfs' : Set.InjOn f s := hfs.mono (s.subset_insert a) obtain ⟨g', hg'⟩ := H hfst' hfs' have hfat : f a ∈ t := hfst (mem_image_of_mem _ (s.mem_insert_self a)) use g'.trans (Equiv.swap (⟨f a, hfat⟩ : t) (g' a)) simp_rw [mem_insert] rintro i (rfl | hi) · simp rw [Equiv.trans_apply, Equiv.swap_apply_of_ne_of_ne, hg' _ hi] · exact ne_of_apply_ne Subtype.val (ne_of_eq_of_ne (hg' _ hi) <| hfs.ne (subset_insert _ _ hi) (mem_insert_self _ _) <| ne_of_mem_of_not_mem hi has) · exact g'.injective.ne (ne_of_mem_of_not_mem hi has) #align finset.exists_equiv_extend_of_card_eq Finset.exists_equiv_extend_of_card_eq
Mathlib/Data/Fintype/Sum.lean
105
115
theorem Set.MapsTo.exists_equiv_extend_of_card_eq [Fintype α] {t : Finset β} (hαt : Fintype.card α = t.card) {s : Set α} {f : α → β} (hfst : s.MapsTo f t) (hfs : Set.InjOn f s) : ∃ g : α ≃ t, ∀ i ∈ s, (g i : β) = f i := by
classical let s' : Finset α := s.toFinset have hfst' : s'.image f ⊆ t := by simpa [s', ← Finset.coe_subset] using hfst have hfs' : Set.InjOn f s' := by simpa [s'] using hfs obtain ⟨g, hg⟩ := Finset.exists_equiv_extend_of_card_eq hαt hfst' hfs' refine ⟨g, fun i hi => ?_⟩ apply hg simpa [s'] using hi
8
import Batteries.Data.Char import Batteries.Data.List.Lemmas import Batteries.Data.String.Basic import Batteries.Tactic.Lint.Misc import Batteries.Tactic.SeqFocus namespace String attribute [ext] ext theorem lt_trans {s₁ s₂ s₃ : String} : s₁ < s₂ → s₂ < s₃ → s₁ < s₃ := List.lt_trans' (α := Char) Nat.lt_trans (fun h1 h2 => Nat.not_lt.2 <| Nat.le_trans (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) theorem lt_antisymm {s₁ s₂ : String} (h₁ : ¬s₁ < s₂) (h₂ : ¬s₂ < s₁) : s₁ = s₂ := ext <| List.lt_antisymm' (α := Char) (fun h1 h2 => Char.le_antisymm (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) h₁ h₂ instance : Batteries.TransOrd String := .compareOfLessAndEq String.lt_irrefl String.lt_trans String.lt_antisymm instance : Batteries.LTOrd String := .compareOfLessAndEq String.lt_irrefl String.lt_trans String.lt_antisymm instance : Batteries.BEqOrd String := .compareOfLessAndEq String.lt_irrefl @[simp] theorem mk_length (s : List Char) : (String.mk s).length = s.length := rfl attribute [simp] toList -- prefer `String.data` over `String.toList` in lemmas private theorem add_csize_pos : 0 < i + csize c := Nat.add_pos_right _ (csize_pos c) private theorem ne_add_csize_add_self : i ≠ n + csize c + i := Nat.ne_of_lt (Nat.lt_add_of_pos_left add_csize_pos) private theorem ne_self_add_add_csize : i ≠ i + (n + csize c) := Nat.ne_of_lt (Nat.lt_add_of_pos_right add_csize_pos) @[inline] def utf8Len : List Char → Nat := utf8ByteSize.go @[simp] theorem utf8ByteSize.go_eq : utf8ByteSize.go = utf8Len := rfl @[simp] theorem utf8ByteSize_mk (cs) : utf8ByteSize ⟨cs⟩ = utf8Len cs := rfl @[simp] theorem utf8Len_nil : utf8Len [] = 0 := rfl @[simp] theorem utf8Len_cons (c cs) : utf8Len (c :: cs) = utf8Len cs + csize c := rfl @[simp] theorem utf8Len_append (cs₁ cs₂) : utf8Len (cs₁ ++ cs₂) = utf8Len cs₁ + utf8Len cs₂ := by induction cs₁ <;> simp [*, Nat.add_right_comm] @[simp] theorem utf8Len_reverseAux (cs₁ cs₂) : utf8Len (cs₁.reverseAux cs₂) = utf8Len cs₁ + utf8Len cs₂ := by induction cs₁ generalizing cs₂ <;> simp [*, ← Nat.add_assoc, Nat.add_right_comm] @[simp] theorem utf8Len_reverse (cs) : utf8Len cs.reverse = utf8Len cs := utf8Len_reverseAux .. @[simp] theorem utf8Len_eq_zero : utf8Len l = 0 ↔ l = [] := by cases l <;> simp [Nat.ne_of_gt add_csize_pos] section open List theorem utf8Len_le_of_sublist : ∀ {cs₁ cs₂}, cs₁ <+ cs₂ → utf8Len cs₁ ≤ utf8Len cs₂ | _, _, .slnil => Nat.le_refl _ | _, _, .cons _ h => Nat.le_trans (utf8Len_le_of_sublist h) (Nat.le_add_right ..) | _, _, .cons₂ _ h => Nat.add_le_add_right (utf8Len_le_of_sublist h) _ theorem utf8Len_le_of_infix (h : cs₁ <:+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist theorem utf8Len_le_of_suffix (h : cs₁ <:+ cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist theorem utf8Len_le_of_prefix (h : cs₁ <+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist end @[simp] theorem endPos_eq (cs : List Char) : endPos ⟨cs⟩ = ⟨utf8Len cs⟩ := rfl theorem endPos_eq_zero : ∀ (s : String), endPos s = 0 ↔ s = "" | ⟨_⟩ => Pos.ext_iff.trans <| utf8Len_eq_zero.trans ext_iff.symm theorem isEmpty_iff (s : String) : isEmpty s ↔ s = "" := (beq_iff_eq ..).trans (endPos_eq_zero _) def utf8InductionOn {motive : List Char → Pos → Sort u} (s : List Char) (i p : Pos) (nil : ∀ i, motive [] i) (eq : ∀ c cs, motive (c :: cs) p) (ind : ∀ (c : Char) cs i, i ≠ p → motive cs (i + c) → motive (c :: cs) i) : motive s i := match s with | [] => nil i | c::cs => if h : i = p then h ▸ eq c cs else ind c cs i h (utf8InductionOn cs (i + c) p nil eq ind) theorem utf8GetAux_add_right_cancel (s : List Char) (i p n : Nat) : utf8GetAux s ⟨i + n⟩ ⟨p + n⟩ = utf8GetAux s ⟨i⟩ ⟨p⟩ := by apply utf8InductionOn s ⟨i⟩ ⟨p⟩ (motive := fun s i => utf8GetAux s ⟨i.byteIdx + n⟩ ⟨p + n⟩ = utf8GetAux s i ⟨p⟩) <;> simp [utf8GetAux] intro c cs ⟨i⟩ h ih simp [Pos.ext_iff, Pos.addChar_eq] at h ⊢ simp [Nat.add_right_cancel_iff, h] rw [Nat.add_right_comm] exact ih theorem utf8GetAux_addChar_right_cancel (s : List Char) (i p : Pos) (c : Char) : utf8GetAux s (i + c) (p + c) = utf8GetAux s i p := utf8GetAux_add_right_cancel ..
.lake/packages/batteries/Batteries/Data/String/Lemmas.lean
148
157
theorem utf8GetAux_of_valid (cs cs' : List Char) {i p : Nat} (hp : i + utf8Len cs = p) : utf8GetAux (cs ++ cs') ⟨i⟩ ⟨p⟩ = cs'.headD default := by
match cs, cs' with | [], [] => rfl | [], c::cs' => simp [← hp, utf8GetAux] | c::cs, cs' => simp [utf8GetAux, -List.headD_eq_head?]; rw [if_neg] case hnc => simp [← hp, Pos.ext_iff]; exact ne_self_add_add_csize refine utf8GetAux_of_valid cs cs' ?_ simpa [Nat.add_assoc, Nat.add_comm] using hp
8
import Mathlib.CategoryTheory.Limits.Shapes.Equalizers import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.Topology.Sheaves.SheafCondition.PairwiseIntersections #align_import topology.sheaves.sheaf_condition.equalizer_products from "leanprover-community/mathlib"@"85d6221d32c37e68f05b2e42cde6cee658dae5e9" universe v' v u noncomputable section open CategoryTheory CategoryTheory.Limits TopologicalSpace Opposite TopologicalSpace.Opens namespace TopCat variable {C : Type u} [Category.{v} C] [HasProducts.{v'} C] variable {X : TopCat.{v'}} (F : Presheaf C X) {ι : Type v'} (U : ι → Opens X) namespace Presheaf namespace SheafConditionEqualizerProducts def piOpens : C := ∏ᶜ fun i : ι => F.obj (op (U i)) set_option linter.uppercaseLean3 false in #align Top.presheaf.sheaf_condition_equalizer_products.pi_opens TopCat.Presheaf.SheafConditionEqualizerProducts.piOpens def piInters : C := ∏ᶜ fun p : ι × ι => F.obj (op (U p.1 ⊓ U p.2)) set_option linter.uppercaseLean3 false in #align Top.presheaf.sheaf_condition_equalizer_products.pi_inters TopCat.Presheaf.SheafConditionEqualizerProducts.piInters def leftRes : piOpens F U ⟶ piInters.{v'} F U := Pi.lift fun p : ι × ι => Pi.π _ p.1 ≫ F.map (infLELeft (U p.1) (U p.2)).op set_option linter.uppercaseLean3 false in #align Top.presheaf.sheaf_condition_equalizer_products.left_res TopCat.Presheaf.SheafConditionEqualizerProducts.leftRes def rightRes : piOpens F U ⟶ piInters.{v'} F U := Pi.lift fun p : ι × ι => Pi.π _ p.2 ≫ F.map (infLERight (U p.1) (U p.2)).op set_option linter.uppercaseLean3 false in #align Top.presheaf.sheaf_condition_equalizer_products.right_res TopCat.Presheaf.SheafConditionEqualizerProducts.rightRes def res : F.obj (op (iSup U)) ⟶ piOpens.{v'} F U := Pi.lift fun i : ι => F.map (TopologicalSpace.Opens.leSupr U i).op set_option linter.uppercaseLean3 false in #align Top.presheaf.sheaf_condition_equalizer_products.res TopCat.Presheaf.SheafConditionEqualizerProducts.res @[simp, elementwise] theorem res_π (i : ι) : res F U ≫ limit.π _ ⟨i⟩ = F.map (Opens.leSupr U i).op := by rw [res, limit.lift_π, Fan.mk_π_app] set_option linter.uppercaseLean3 false in #align Top.presheaf.sheaf_condition_equalizer_products.res_π TopCat.Presheaf.SheafConditionEqualizerProducts.res_π @[elementwise]
Mathlib/Topology/Sheaves/SheafCondition/EqualizerProducts.lean
86
94
theorem w : res F U ≫ leftRes F U = res F U ≫ rightRes F U := by
dsimp [res, leftRes, rightRes] -- Porting note: `ext` can't see `limit.hom_ext` applies here: -- See https://github.com/leanprover-community/mathlib4/issues/5229 refine limit.hom_ext (fun _ => ?_) simp only [limit.lift_π, limit.lift_π_assoc, Fan.mk_π_app, Category.assoc] rw [← F.map_comp] rw [← F.map_comp] congr 1
8
import Mathlib.CategoryTheory.PathCategory import Mathlib.CategoryTheory.Functor.FullyFaithful import Mathlib.CategoryTheory.Bicategory.Free import Mathlib.CategoryTheory.Bicategory.LocallyDiscrete #align_import category_theory.bicategory.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff" open Quiver (Path) open Quiver.Path namespace CategoryTheory open Bicategory Category universe v u namespace FreeBicategory variable {B : Type u} [Quiver.{v + 1} B] @[simp] def inclusionPathAux {a : B} : ∀ {b : B}, Path a b → Hom a b | _, nil => Hom.id a | _, cons p f => (inclusionPathAux p).comp (Hom.of f) #align category_theory.free_bicategory.inclusion_path_aux CategoryTheory.FreeBicategory.inclusionPathAux local instance homCategory' (a b : B) : Category (Hom a b) := homCategory a b def inclusionPath (a b : B) : Discrete (Path.{v + 1} a b) ⥤ Hom a b := Discrete.functor inclusionPathAux #align category_theory.free_bicategory.inclusion_path CategoryTheory.FreeBicategory.inclusionPath def preinclusion (B : Type u) [Quiver.{v + 1} B] : PrelaxFunctor (LocallyDiscrete (Paths B)) (FreeBicategory B) where obj a := a.as map := @fun a b f => (@inclusionPath B _ a.as b.as).obj f map₂ η := (inclusionPath _ _).map η #align category_theory.free_bicategory.preinclusion CategoryTheory.FreeBicategory.preinclusion @[simp] theorem preinclusion_obj (a : B) : (preinclusion B).obj ⟨a⟩ = a := rfl #align category_theory.free_bicategory.preinclusion_obj CategoryTheory.FreeBicategory.preinclusion_obj @[simp] theorem preinclusion_map₂ {a b : B} (f g : Discrete (Path.{v + 1} a b)) (η : f ⟶ g) : (preinclusion B).map₂ η = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom η))) := by rcases η with ⟨⟨⟩⟩ cases Discrete.ext _ _ (by assumption) convert (inclusionPath a b).map_id _ #align category_theory.free_bicategory.preinclusion_map₂ CategoryTheory.FreeBicategory.preinclusion_map₂ @[simp] def normalizeAux {a : B} : ∀ {b c : B}, Path a b → Hom b c → Path a c | _, _, p, Hom.of f => p.cons f | _, _, p, Hom.id _ => p | _, _, p, Hom.comp f g => normalizeAux (normalizeAux p f) g #align category_theory.free_bicategory.normalize_aux CategoryTheory.FreeBicategory.normalizeAux @[simp] def normalizeIso {a : B} : ∀ {b c : B} (p : Path a b) (f : Hom b c), (preinclusion B).map ⟨p⟩ ≫ f ≅ (preinclusion B).map ⟨normalizeAux p f⟩ | _, _, _, Hom.of _ => Iso.refl _ | _, _, _, Hom.id b => ρ_ _ | _, _, p, Hom.comp f g => (α_ _ _ _).symm ≪≫ whiskerRightIso (normalizeIso p f) g ≪≫ normalizeIso (normalizeAux p f) g #align category_theory.free_bicategory.normalize_iso CategoryTheory.FreeBicategory.normalizeIso
Mathlib/CategoryTheory/Bicategory/Coherence.lean
148
157
theorem normalizeAux_congr {a b c : B} (p : Path a b) {f g : Hom b c} (η : f ⟶ g) : normalizeAux p f = normalizeAux p g := by
rcases η with ⟨η'⟩ apply @congr_fun _ _ fun p => normalizeAux p f clear p η induction η' with | vcomp _ _ _ _ => apply Eq.trans <;> assumption | whisker_left _ _ ih => funext; apply congr_fun ih | whisker_right _ _ ih => funext; apply congr_arg₂ _ (congr_fun ih _) rfl | _ => funext; rfl
8
import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Quotient #align_import linear_algebra.quotient_pi from "leanprover-community/mathlib"@"398f60f60b43ef42154bd2bdadf5133daf1577a4" namespace Submodule open LinearMap variable {ι R : Type*} [CommRing R] variable {Ms : ι → Type*} [∀ i, AddCommGroup (Ms i)] [∀ i, Module R (Ms i)] variable {N : Type*} [AddCommGroup N] [Module R N] variable {Ns : ι → Type*} [∀ i, AddCommGroup (Ns i)] [∀ i, Module R (Ns i)] def piQuotientLift [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) : (∀ i, Ms i ⧸ p i) →ₗ[R] N ⧸ q := lsum R (fun i => Ms i ⧸ p i) R fun i => (p i).mapQ q (f i) (hf i) #align submodule.pi_quotient_lift Submodule.piQuotientLift @[simp] theorem piQuotientLift_mk [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (x : ∀ i, Ms i) : (piQuotientLift p q f hf fun i => Quotient.mk (x i)) = Quotient.mk (lsum _ _ R f x) := by rw [piQuotientLift, lsum_apply, sum_apply, ← mkQ_apply, lsum_apply, sum_apply, _root_.map_sum] simp only [coe_proj, mapQ_apply, mkQ_apply, comp_apply] #align submodule.pi_quotient_lift_mk Submodule.piQuotientLift_mk @[simp]
Mathlib/LinearAlgebra/QuotientPi.lean
50
60
theorem piQuotientLift_single [Fintype ι] [DecidableEq ι] (p : ∀ i, Submodule R (Ms i)) (q : Submodule R N) (f : ∀ i, Ms i →ₗ[R] N) (hf : ∀ i, p i ≤ q.comap (f i)) (i) (x : Ms i ⧸ p i) : piQuotientLift p q f hf (Pi.single i x) = mapQ _ _ (f i) (hf i) x := by
simp_rw [piQuotientLift, lsum_apply, sum_apply, comp_apply, proj_apply] rw [Finset.sum_eq_single i] · rw [Pi.single_eq_same] · rintro j - hj rw [Pi.single_eq_of_ne hj, _root_.map_zero] · intros have := Finset.mem_univ i contradiction
8
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Analysis.NormedSpace.Dual import Mathlib.Analysis.NormedSpace.Star.Basic #align_import analysis.inner_product_space.dual from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped Classical open ComplexConjugate universe u v namespace InnerProductSpace open RCLike ContinuousLinearMap variable (𝕜 : Type*) variable (E : Type*) [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y local postfix:90 "†" => starRingEnd _ def toDualMap : E →ₗᵢ⋆[𝕜] NormedSpace.Dual 𝕜 E := { innerSL 𝕜 with norm_map' := innerSL_apply_norm _ } #align inner_product_space.to_dual_map InnerProductSpace.toDualMap variable {E} @[simp] theorem toDualMap_apply {x y : E} : toDualMap 𝕜 E x y = ⟪x, y⟫ := rfl #align inner_product_space.to_dual_map_apply InnerProductSpace.toDualMap_apply theorem innerSL_norm [Nontrivial E] : ‖(innerSL 𝕜 : E →L⋆[𝕜] E →L[𝕜] 𝕜)‖ = 1 := show ‖(toDualMap 𝕜 E).toContinuousLinearMap‖ = 1 from LinearIsometry.norm_toContinuousLinearMap _ set_option linter.uppercaseLean3 false in #align inner_product_space.innerSL_norm InnerProductSpace.innerSL_norm variable {𝕜}
Mathlib/Analysis/InnerProductSpace/Dual.lean
82
91
theorem ext_inner_left_basis {ι : Type*} {x y : E} (b : Basis ι 𝕜 E) (h : ∀ i : ι, ⟪b i, x⟫ = ⟪b i, y⟫) : x = y := by
apply (toDualMap 𝕜 E).map_eq_iff.mp refine (Function.Injective.eq_iff ContinuousLinearMap.coe_injective).mp (Basis.ext b ?_) intro i simp only [ContinuousLinearMap.coe_coe] rw [toDualMap_apply, toDualMap_apply] rw [← inner_conj_symm] conv_rhs => rw [← inner_conj_symm] exact congr_arg conj (h i)
8
import Mathlib.Analysis.BoxIntegral.Partition.Filter import Mathlib.Analysis.BoxIntegral.Partition.Measure import Mathlib.Topology.UniformSpace.Compact import Mathlib.Init.Data.Bool.Lemmas #align_import analysis.box_integral.basic from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open scoped Classical Topology NNReal Filter Uniformity BoxIntegral open Set Finset Function Filter Metric BoxIntegral.IntegrationParams noncomputable section namespace BoxIntegral universe u v w variable {ι : Type u} {E : Type v} {F : Type w} [NormedAddCommGroup E] [NormedSpace ℝ E] [NormedAddCommGroup F] [NormedSpace ℝ F] {I J : Box ι} {π : TaggedPrepartition I} open TaggedPrepartition local notation "ℝⁿ" => ι → ℝ def integralSum (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) : F := ∑ J ∈ π.boxes, vol J (f (π.tag J)) #align box_integral.integral_sum BoxIntegral.integralSum theorem integralSum_biUnionTagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : Prepartition I) (πi : ∀ J, TaggedPrepartition J) : integralSum f vol (π.biUnionTagged πi) = ∑ J ∈ π.boxes, integralSum f vol (πi J) := by refine (π.sum_biUnion_boxes _ _).trans <| sum_congr rfl fun J hJ => sum_congr rfl fun J' hJ' => ?_ rw [π.tag_biUnionTagged hJ hJ'] #align box_integral.integral_sum_bUnion_tagged BoxIntegral.integralSum_biUnionTagged
Mathlib/Analysis/BoxIntegral/Basic.lean
90
100
theorem integralSum_biUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ E →L[ℝ] F) (π : TaggedPrepartition I) (πi : ∀ J, Prepartition J) (hπi : ∀ J ∈ π, (πi J).IsPartition) : integralSum f vol (π.biUnionPrepartition πi) = integralSum f vol π := by
refine (π.sum_biUnion_boxes _ _).trans (sum_congr rfl fun J hJ => ?_) calc (∑ J' ∈ (πi J).boxes, vol J' (f (π.tag <| π.toPrepartition.biUnionIndex πi J'))) = ∑ J' ∈ (πi J).boxes, vol J' (f (π.tag J)) := sum_congr rfl fun J' hJ' => by rw [Prepartition.biUnionIndex_of_mem _ hJ hJ'] _ = vol J (f (π.tag J)) := (vol.map ⟨⟨fun g : E →L[ℝ] F => g (f (π.tag J)), rfl⟩, fun _ _ => rfl⟩).sum_partition_boxes le_top (hπi J hJ)
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import Mathlib.Control.EquivFunctor import Mathlib.Data.Option.Basic import Mathlib.Data.Subtype import Mathlib.Logic.Equiv.Defs import Mathlib.Tactic.Cases #align_import logic.equiv.option from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025" universe u namespace Equiv open Option variable {α β γ : Type*} section RemoveNone variable (e : Option α ≃ Option β) def removeNone_aux (x : α) : β := if h : (e (some x)).isSome then Option.get _ h else Option.get _ <| show (e none).isSome by rw [← Option.ne_none_iff_isSome] intro hn rw [Option.not_isSome_iff_eq_none, ← hn] at h exact Option.some_ne_none _ (e.injective h) -- Porting note: private -- #align equiv.remove_none_aux Equiv.removeNone_aux theorem removeNone_aux_some {x : α} (h : ∃ x', e (some x) = some x') : some (removeNone_aux e x) = e (some x) := by simp [removeNone_aux, Option.isSome_iff_exists.mpr h] -- Porting note: private -- #align equiv.remove_none_aux_some Equiv.removeNone_aux_some theorem removeNone_aux_none {x : α} (h : e (some x) = none) : some (removeNone_aux e x) = e none := by simp [removeNone_aux, Option.not_isSome_iff_eq_none.mpr h] -- Porting note: private -- #align equiv.remove_none_aux_none Equiv.removeNone_aux_none theorem removeNone_aux_inv (x : α) : removeNone_aux e.symm (removeNone_aux e x) = x := Option.some_injective _ (by cases h1 : e.symm (some (removeNone_aux e x)) <;> cases h2 : e (some x) · rw [removeNone_aux_none _ h1] exact (e.eq_symm_apply.mpr h2).symm · rw [removeNone_aux_some _ ⟨_, h2⟩] at h1 simp at h1 · rw [removeNone_aux_none _ h2] at h1 simp at h1 · rw [removeNone_aux_some _ ⟨_, h1⟩] rw [removeNone_aux_some _ ⟨_, h2⟩] simp) -- Porting note: private -- #align equiv.remove_none_aux_inv Equiv.removeNone_aux_inv def removeNone : α ≃ β where toFun := removeNone_aux e invFun := removeNone_aux e.symm left_inv := removeNone_aux_inv e right_inv := removeNone_aux_inv e.symm #align equiv.remove_none Equiv.removeNone @[simp] theorem removeNone_symm : (removeNone e).symm = removeNone e.symm := rfl #align equiv.remove_none_symm Equiv.removeNone_symm theorem removeNone_some {x : α} (h : ∃ x', e (some x) = some x') : some (removeNone e x) = e (some x) := removeNone_aux_some e h #align equiv.remove_none_some Equiv.removeNone_some theorem removeNone_none {x : α} (h : e (some x) = none) : some (removeNone e x) = e none := removeNone_aux_none e h #align equiv.remove_none_none Equiv.removeNone_none @[simp] theorem option_symm_apply_none_iff : e.symm none = none ↔ e none = none := ⟨fun h => by simpa using (congr_arg e h).symm, fun h => by simpa using (congr_arg e.symm h).symm⟩ #align equiv.option_symm_apply_none_iff Equiv.option_symm_apply_none_iff
Mathlib/Logic/Equiv/Option.lean
148
156
theorem some_removeNone_iff {x : α} : some (removeNone e x) = e none ↔ e.symm none = some x := by
cases' h : e (some x) with a · rw [removeNone_none _ h] simpa using (congr_arg e.symm h).symm · rw [removeNone_some _ ⟨a, h⟩] have h1 := congr_arg e.symm h rw [symm_apply_apply] at h1 simp only [false_iff_iff, apply_eq_iff_eq] simp [h1, apply_eq_iff_eq]
8
import Mathlib.Algebra.Group.Prod import Mathlib.Data.Set.Lattice #align_import data.nat.pairing from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" assert_not_exists MonoidWithZero open Prod Decidable Function namespace Nat -- Porting note: no pp_nodot --@[pp_nodot] def pair (a b : ℕ) : ℕ := if a < b then b * b + a else a * a + a + b #align nat.mkpair Nat.pair -- Porting note: no pp_nodot --@[pp_nodot] def unpair (n : ℕ) : ℕ × ℕ := let s := sqrt n if n - s * s < s then (n - s * s, s) else (s, n - s * s - s) #align nat.unpair Nat.unpair @[simp] theorem pair_unpair (n : ℕ) : pair (unpair n).1 (unpair n).2 = n := by dsimp only [unpair]; let s := sqrt n have sm : s * s + (n - s * s) = n := Nat.add_sub_cancel' (sqrt_le _) split_ifs with h · simp [pair, h, sm] · have hl : n - s * s - s ≤ s := Nat.sub_le_iff_le_add.2 (Nat.sub_le_iff_le_add'.2 <| by rw [← Nat.add_assoc]; apply sqrt_le_add) simp [pair, hl.not_lt, Nat.add_assoc, Nat.add_sub_cancel' (le_of_not_gt h), sm] #align nat.mkpair_unpair Nat.pair_unpair theorem pair_unpair' {n a b} (H : unpair n = (a, b)) : pair a b = n := by simpa [H] using pair_unpair n #align nat.mkpair_unpair' Nat.pair_unpair' @[simp] theorem unpair_pair (a b : ℕ) : unpair (pair a b) = (a, b) := by dsimp only [pair]; split_ifs with h · show unpair (b * b + a) = (a, b) have be : sqrt (b * b + a) = b := sqrt_add_eq _ (le_trans (le_of_lt h) (Nat.le_add_left _ _)) simp [unpair, be, Nat.add_sub_cancel_left, h] · show unpair (a * a + a + b) = (a, b) have ae : sqrt (a * a + (a + b)) = a := by rw [sqrt_add_eq] exact Nat.add_le_add_left (le_of_not_gt h) _ simp [unpair, ae, Nat.not_lt_zero, Nat.add_assoc, Nat.add_sub_cancel_left] #align nat.unpair_mkpair Nat.unpair_pair @[simps (config := .asFn)] def pairEquiv : ℕ × ℕ ≃ ℕ := ⟨uncurry pair, unpair, fun ⟨a, b⟩ => unpair_pair a b, pair_unpair⟩ #align nat.mkpair_equiv Nat.pairEquiv #align nat.mkpair_equiv_apply Nat.pairEquiv_apply #align nat.mkpair_equiv_symm_apply Nat.pairEquiv_symm_apply theorem surjective_unpair : Surjective unpair := pairEquiv.symm.surjective #align nat.surjective_unpair Nat.surjective_unpair @[simp] theorem pair_eq_pair {a b c d : ℕ} : pair a b = pair c d ↔ a = c ∧ b = d := pairEquiv.injective.eq_iff.trans (@Prod.ext_iff ℕ ℕ (a, b) (c, d)) #align nat.mkpair_eq_mkpair Nat.pair_eq_pair theorem unpair_lt {n : ℕ} (n1 : 1 ≤ n) : (unpair n).1 < n := by let s := sqrt n simp only [unpair, ge_iff_le, Nat.sub_le_iff_le_add] by_cases h : n - s * s < s <;> simp [h] · exact lt_of_lt_of_le h (sqrt_le_self _) · simp at h have s0 : 0 < s := sqrt_pos.2 n1 exact lt_of_le_of_lt h (Nat.sub_lt n1 (Nat.mul_pos s0 s0)) #align nat.unpair_lt Nat.unpair_lt @[simp] theorem unpair_zero : unpair 0 = 0 := by rw [unpair] simp #align nat.unpair_zero Nat.unpair_zero theorem unpair_left_le : ∀ n : ℕ, (unpair n).1 ≤ n | 0 => by simp | n + 1 => le_of_lt (unpair_lt (Nat.succ_pos _)) #align nat.unpair_left_le Nat.unpair_left_le theorem left_le_pair (a b : ℕ) : a ≤ pair a b := by simpa using unpair_left_le (pair a b) #align nat.left_le_mkpair Nat.left_le_pair theorem right_le_pair (a b : ℕ) : b ≤ pair a b := by by_cases h : a < b <;> simp [pair, h] exact le_trans (le_mul_self _) (Nat.le_add_right _ _) #align nat.right_le_mkpair Nat.right_le_pair theorem unpair_right_le (n : ℕ) : (unpair n).2 ≤ n := by simpa using right_le_pair n.unpair.1 n.unpair.2 #align nat.unpair_right_le Nat.unpair_right_le theorem pair_lt_pair_left {a₁ a₂} (b) (h : a₁ < a₂) : pair a₁ b < pair a₂ b := by by_cases h₁ : a₁ < b <;> simp [pair, h₁, Nat.add_assoc] · by_cases h₂ : a₂ < b <;> simp [pair, h₂, h] simp? at h₂ says simp only [not_lt] at h₂ apply Nat.add_lt_add_of_le_of_lt · exact Nat.mul_self_le_mul_self h₂ · exact Nat.lt_add_right _ h · simp at h₁ simp only [not_lt_of_gt (lt_of_le_of_lt h₁ h), ite_false] apply add_lt_add · exact Nat.mul_self_lt_mul_self h · apply Nat.add_lt_add_right; assumption #align nat.mkpair_lt_mkpair_left Nat.pair_lt_pair_left
Mathlib/Data/Nat/Pairing.lean
140
148
theorem pair_lt_pair_right (a) {b₁ b₂} (h : b₁ < b₂) : pair a b₁ < pair a b₂ := by
by_cases h₁ : a < b₁ <;> simp [pair, h₁, Nat.add_assoc] · simp [pair, lt_trans h₁ h, h] exact mul_self_lt_mul_self h · by_cases h₂ : a < b₂ <;> simp [pair, h₂, h] simp? at h₁ says simp only [not_lt] at h₁ rw [Nat.add_comm, Nat.add_comm _ a, Nat.add_assoc, Nat.add_lt_add_iff_left] rwa [Nat.add_comm, ← sqrt_lt, sqrt_add_eq] exact le_trans h₁ (Nat.le_add_left _ _)
8
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.CategoryTheory.Monoidal.Discrete import Mathlib.CategoryTheory.Monoidal.CoherenceLemmas import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.Algebra.PUnitInstances #align_import category_theory.monoidal.Mon_ from "leanprover-community/mathlib"@"a836c6dba9bd1ee2a0cdc9af0006a596f243031c" set_option linter.uppercaseLean3 false universe v₁ v₂ u₁ u₂ u open CategoryTheory MonoidalCategory variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory.{v₁} C] structure Mon_ where X : C one : 𝟙_ C ⟶ X mul : X ⊗ X ⟶ X one_mul : (one ▷ X) ≫ mul = (λ_ X).hom := by aesop_cat mul_one : (X ◁ one) ≫ mul = (ρ_ X).hom := by aesop_cat -- Obviously there is some flexibility stating this axiom. -- This one has left- and right-hand sides matching the statement of `Monoid.mul_assoc`, -- and chooses to place the associator on the right-hand side. -- The heuristic is that unitors and associators "don't have much weight". mul_assoc : (mul ▷ X) ≫ mul = (α_ X X X).hom ≫ (X ◁ mul) ≫ mul := by aesop_cat #align Mon_ Mon_ attribute [reassoc] Mon_.one_mul Mon_.mul_one attribute [simp] Mon_.one_mul Mon_.mul_one -- We prove a more general `@[simp]` lemma below. attribute [reassoc (attr := simp)] Mon_.mul_assoc namespace Mon_ open CategoryTheory.LaxMonoidalFunctor namespace Mon_ variable {C} -- The proofs that associators and unitors preserve monoid units don't require braiding.
Mathlib/CategoryTheory/Monoidal/Mon_.lean
372
382
theorem one_associator {M N P : Mon_ C} : ((λ_ (𝟙_ C)).inv ≫ ((λ_ (𝟙_ C)).inv ≫ (M.one ⊗ N.one) ⊗ P.one)) ≫ (α_ M.X N.X P.X).hom = (λ_ (𝟙_ C)).inv ≫ (M.one ⊗ (λ_ (𝟙_ C)).inv ≫ (N.one ⊗ P.one)) := by
simp only [Category.assoc, Iso.cancel_iso_inv_left] slice_lhs 1 3 => rw [← Category.id_comp P.one, tensor_comp] slice_lhs 2 3 => rw [associator_naturality] slice_rhs 1 2 => rw [← Category.id_comp M.one, tensor_comp] slice_lhs 1 2 => rw [tensorHom_id, ← leftUnitor_tensor_inv] rw [← cancel_epi (λ_ (𝟙_ C)).inv] slice_lhs 1 2 => rw [leftUnitor_inv_naturality] simp
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import Mathlib.CategoryTheory.EffectiveEpi.Preserves import Mathlib.CategoryTheory.Limits.Final.ParallelPair import Mathlib.CategoryTheory.Preadditive.Projective import Mathlib.CategoryTheory.Sites.Canonical import Mathlib.CategoryTheory.Sites.Coherent.Basic import Mathlib.CategoryTheory.Sites.EffectiveEpimorphic namespace CategoryTheory open Limits variable {C D E : Type*} [Category C] [Category D] [Category E] open Opposite Presieve Functor class Presieve.regular {X : C} (R : Presieve X) : Prop where single_epi : ∃ (Y : C) (f : Y ⟶ X), R = Presieve.ofArrows (fun (_ : Unit) ↦ Y) (fun (_ : Unit) ↦ f) ∧ EffectiveEpi f namespace regularTopology lemma equalizerCondition_w (P : Cᵒᵖ ⥤ D) {X B : C} {π : X ⟶ B} (c : PullbackCone π π) : P.map π.op ≫ P.map c.fst.op = P.map π.op ≫ P.map c.snd.op := by simp only [← Functor.map_comp, ← op_comp, c.condition] def SingleEqualizerCondition (P : Cᵒᵖ ⥤ D) ⦃X B : C⦄ (π : X ⟶ B) : Prop := ∀ (c : PullbackCone π π) (_ : IsLimit c), Nonempty (IsLimit (Fork.ofι (P.map π.op) (equalizerCondition_w P c))) def EqualizerCondition (P : Cᵒᵖ ⥤ D) : Prop := ∀ ⦃X B : C⦄ (π : X ⟶ B) [EffectiveEpi π], SingleEqualizerCondition P π theorem equalizerCondition_of_natIso {P P' : Cᵒᵖ ⥤ D} (i : P ≅ P') (hP : EqualizerCondition P) : EqualizerCondition P' := fun X B π _ c hc ↦ ⟨Fork.isLimitOfIsos _ (hP π c hc).some _ (i.app _) (i.app _) (i.app _)⟩
Mathlib/CategoryTheory/Sites/Coherent/RegularSheaves.lean
69
79
theorem equalizerCondition_precomp_of_preservesPullback (P : Cᵒᵖ ⥤ D) (F : E ⥤ C) [∀ {X B} (π : X ⟶ B) [EffectiveEpi π], PreservesLimit (cospan π π) F] [F.PreservesEffectiveEpis] (hP : EqualizerCondition P) : EqualizerCondition (F.op ⋙ P) := by
intro X B π _ c hc have h : P.map (F.map π).op = (F.op ⋙ P).map π.op := by simp refine ⟨(IsLimit.equivIsoLimit (ForkOfι.ext ?_ _ h)) ?_⟩ · simp only [Functor.comp_map, op_map, Quiver.Hom.unop_op, ← map_comp, ← op_comp, c.condition] · refine (hP (F.map π) (PullbackCone.mk (F.map c.fst) (F.map c.snd) ?_) ?_).some · simp only [← map_comp, c.condition] · exact (isLimitMapConePullbackConeEquiv F c.condition) (isLimitOfPreserves F (hc.ofIsoLimit (PullbackCone.ext (Iso.refl _) (by simp) (by simp))))
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import Mathlib.Data.Nat.Defs import Mathlib.Tactic.GCongr.Core import Mathlib.Tactic.Common import Mathlib.Tactic.Monotonicity.Attr #align_import data.nat.factorial.basic from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" namespace Nat def factorial : ℕ → ℕ | 0 => 1 | succ n => succ n * factorial n #align nat.factorial Nat.factorial scoped notation:10000 n "!" => Nat.factorial n section Factorial variable {m n : ℕ} @[simp] theorem factorial_zero : 0! = 1 := rfl #align nat.factorial_zero Nat.factorial_zero theorem factorial_succ (n : ℕ) : (n + 1)! = (n + 1) * n ! := rfl #align nat.factorial_succ Nat.factorial_succ @[simp] theorem factorial_one : 1! = 1 := rfl #align nat.factorial_one Nat.factorial_one @[simp] theorem factorial_two : 2! = 2 := rfl #align nat.factorial_two Nat.factorial_two theorem mul_factorial_pred (hn : 0 < n) : n * (n - 1)! = n ! := Nat.sub_add_cancel (Nat.succ_le_of_lt hn) ▸ rfl #align nat.mul_factorial_pred Nat.mul_factorial_pred theorem factorial_pos : ∀ n, 0 < n ! | 0 => Nat.zero_lt_one | succ n => Nat.mul_pos (succ_pos _) (factorial_pos n) #align nat.factorial_pos Nat.factorial_pos theorem factorial_ne_zero (n : ℕ) : n ! ≠ 0 := ne_of_gt (factorial_pos _) #align nat.factorial_ne_zero Nat.factorial_ne_zero theorem factorial_dvd_factorial {m n} (h : m ≤ n) : m ! ∣ n ! := by induction' h with n _ ih · exact Nat.dvd_refl _ · exact Nat.dvd_trans ih (Nat.dvd_mul_left _ _) #align nat.factorial_dvd_factorial Nat.factorial_dvd_factorial theorem dvd_factorial : ∀ {m n}, 0 < m → m ≤ n → m ∣ n ! | succ _, _, _, h => Nat.dvd_trans (Nat.dvd_mul_right _ _) (factorial_dvd_factorial h) #align nat.dvd_factorial Nat.dvd_factorial @[mono, gcongr] theorem factorial_le {m n} (h : m ≤ n) : m ! ≤ n ! := le_of_dvd (factorial_pos _) (factorial_dvd_factorial h) #align nat.factorial_le Nat.factorial_le theorem factorial_mul_pow_le_factorial : ∀ {m n : ℕ}, m ! * (m + 1) ^ n ≤ (m + n)! | m, 0 => by simp | m, n + 1 => by rw [← Nat.add_assoc, factorial_succ, Nat.mul_comm (_ + 1), Nat.pow_succ, ← Nat.mul_assoc] exact Nat.mul_le_mul factorial_mul_pow_le_factorial (succ_le_succ (le_add_right _ _)) #align nat.factorial_mul_pow_le_factorial Nat.factorial_mul_pow_le_factorial
Mathlib/Data/Nat/Factorial/Basic.lean
95
103
theorem factorial_lt (hn : 0 < n) : n ! < m ! ↔ n < m := by
refine ⟨fun h => not_le.mp fun hmn => Nat.not_le_of_lt h (factorial_le hmn), fun h => ?_⟩ have : ∀ {n}, 0 < n → n ! < (n + 1)! := by intro k hk rw [factorial_succ, succ_mul, Nat.lt_add_left_iff_pos] exact Nat.mul_pos hk k.factorial_pos induction' h with k hnk ih generalizing hn · exact this hn · exact lt_trans (ih hn) $ this <| lt_trans hn <| lt_of_succ_le hnk
8
import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar #align_import measure_theory.measure.haar.inner_product_space from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" open FiniteDimensional MeasureTheory MeasureTheory.Measure Set variable {ι E F : Type*} variable [Fintype ι] [NormedAddCommGroup F] [InnerProductSpace ℝ F] [FiniteDimensional ℝ F] [MeasurableSpace F] [BorelSpace F] section variable {m n : ℕ} [_i : Fact (finrank ℝ F = n)]
Mathlib/MeasureTheory/Measure/Haar/InnerProductSpace.lean
34
43
theorem Orientation.measure_orthonormalBasis (o : Orientation ℝ F (Fin n)) (b : OrthonormalBasis ι ℝ F) : o.volumeForm.measure (parallelepiped b) = 1 := by
have e : ι ≃ Fin n := by refine Fintype.equivFinOfCardEq ?_ rw [← _i.out, finrank_eq_card_basis b.toBasis] have A : ⇑b = b.reindex e ∘ e := by ext x simp only [OrthonormalBasis.coe_reindex, Function.comp_apply, Equiv.symm_apply_apply] rw [A, parallelepiped_comp_equiv, AlternatingMap.measure_parallelepiped, o.abs_volumeForm_apply_of_orthonormal, ENNReal.ofReal_one]
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import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Normed.Group.Lemmas import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.Analysis.NormedSpace.AffineIsometry import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace import Mathlib.Analysis.NormedSpace.RieszLemma import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Topology.Algebra.Module.FiniteDimension import Mathlib.Topology.Algebra.InfiniteSum.Module import Mathlib.Topology.Instances.Matrix #align_import analysis.normed_space.finite_dimension from "leanprover-community/mathlib"@"9425b6f8220e53b059f5a4904786c3c4b50fc057" universe u v w x noncomputable section open Set FiniteDimensional TopologicalSpace Filter Asymptotics Classical Topology NNReal Metric section CompleteField variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type w} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type x} [AddCommGroup F'] [Module 𝕜 F'] [TopologicalSpace F'] [TopologicalAddGroup F'] [ContinuousSMul 𝕜 F'] [CompleteSpace 𝕜] theorem ContinuousLinearMap.continuous_det : Continuous fun f : E →L[𝕜] E => f.det := by change Continuous fun f : E →L[𝕜] E => LinearMap.det (f : E →ₗ[𝕜] E) -- Porting note: this could be easier with `det_cases` by_cases h : ∃ s : Finset E, Nonempty (Basis (↥s) 𝕜 E) · rcases h with ⟨s, ⟨b⟩⟩ haveI : FiniteDimensional 𝕜 E := FiniteDimensional.of_fintype_basis b simp_rw [LinearMap.det_eq_det_toMatrix_of_finset b] refine Continuous.matrix_det ?_ exact ((LinearMap.toMatrix b b).toLinearMap.comp (ContinuousLinearMap.coeLM 𝕜)).continuous_of_finiteDimensional · -- Porting note: was `unfold LinearMap.det` rw [LinearMap.det_def] simpa only [h, MonoidHom.one_apply, dif_neg, not_false_iff] using continuous_const #align continuous_linear_map.continuous_det ContinuousLinearMap.continuous_det irreducible_def lipschitzExtensionConstant (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] : ℝ≥0 := let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv max (‖A.symm.toContinuousLinearMap‖₊ * ‖A.toContinuousLinearMap‖₊) 1 #align lipschitz_extension_constant lipschitzExtensionConstant theorem lipschitzExtensionConstant_pos (E' : Type*) [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] : 0 < lipschitzExtensionConstant E' := by rw [lipschitzExtensionConstant] exact zero_lt_one.trans_le (le_max_right _ _) #align lipschitz_extension_constant_pos lipschitzExtensionConstant_pos theorem LipschitzOnWith.extend_finite_dimension {α : Type*} [PseudoMetricSpace α] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace ℝ E'] [FiniteDimensional ℝ E'] {s : Set α} {f : α → E'} {K : ℝ≥0} (hf : LipschitzOnWith K f s) : ∃ g : α → E', LipschitzWith (lipschitzExtensionConstant E' * K) g ∧ EqOn f g s := by let ι : Type _ := Basis.ofVectorSpaceIndex ℝ E' let A := (Basis.ofVectorSpace ℝ E').equivFun.toContinuousLinearEquiv have LA : LipschitzWith ‖A.toContinuousLinearMap‖₊ A := by apply A.lipschitz have L : LipschitzOnWith (‖A.toContinuousLinearMap‖₊ * K) (A ∘ f) s := LA.comp_lipschitzOnWith hf obtain ⟨g, hg, gs⟩ : ∃ g : α → ι → ℝ, LipschitzWith (‖A.toContinuousLinearMap‖₊ * K) g ∧ EqOn (A ∘ f) g s := L.extend_pi refine ⟨A.symm ∘ g, ?_, ?_⟩ · have LAsymm : LipschitzWith ‖A.symm.toContinuousLinearMap‖₊ A.symm := by apply A.symm.lipschitz apply (LAsymm.comp hg).weaken rw [lipschitzExtensionConstant, ← mul_assoc] exact mul_le_mul' (le_max_left _ _) le_rfl · intro x hx have : A (f x) = g x := gs hx simp only [(· ∘ ·), ← this, A.symm_apply_apply] #align lipschitz_on_with.extend_finite_dimension LipschitzOnWith.extend_finite_dimension theorem LinearMap.exists_antilipschitzWith [FiniteDimensional 𝕜 E] (f : E →ₗ[𝕜] F) (hf : LinearMap.ker f = ⊥) : ∃ K > 0, AntilipschitzWith K f := by cases subsingleton_or_nontrivial E · exact ⟨1, zero_lt_one, AntilipschitzWith.of_subsingleton⟩ · rw [LinearMap.ker_eq_bot] at hf let e : E ≃L[𝕜] LinearMap.range f := (LinearEquiv.ofInjective f hf).toContinuousLinearEquiv exact ⟨_, e.nnnorm_symm_pos, e.antilipschitz⟩ #align linear_map.exists_antilipschitz_with LinearMap.exists_antilipschitzWith open Function in theorem LinearMap.injective_iff_antilipschitz [FiniteDimensional 𝕜 E] (f : E →ₗ[𝕜] F) : Injective f ↔ ∃ K > 0, AntilipschitzWith K f := by constructor · rw [← LinearMap.ker_eq_bot] exact f.exists_antilipschitzWith · rintro ⟨K, -, H⟩ exact H.injective open Function in
Mathlib/Analysis/NormedSpace/FiniteDimension.lean
246
255
theorem ContinuousLinearMap.isOpen_injective [FiniteDimensional 𝕜 E] : IsOpen { L : E →L[𝕜] F | Injective L } := by
rw [isOpen_iff_eventually] rintro φ₀ hφ₀ rcases φ₀.injective_iff_antilipschitz.mp hφ₀ with ⟨K, K_pos, H⟩ have : ∀ᶠ φ in 𝓝 φ₀, ‖φ - φ₀‖₊ < K⁻¹ := eventually_nnnorm_sub_lt _ <| inv_pos_of_pos K_pos filter_upwards [this] with φ hφ apply φ.injective_iff_antilipschitz.mpr exact ⟨(K⁻¹ - ‖φ - φ₀‖₊)⁻¹, inv_pos_of_pos (tsub_pos_of_lt hφ), H.add_sub_lipschitzWith (φ - φ₀).lipschitz hφ⟩
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import Mathlib.Analysis.Calculus.FDeriv.Equiv import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn #align_import analysis.calculus.inverse from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1" open Function Set Filter Metric open scoped Topology Classical NNReal noncomputable section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {ε : ℝ} open Asymptotics Filter Metric Set open ContinuousLinearMap (id) namespace HasStrictFDerivAt theorem approximates_deriv_on_nhds {f : E → F} {f' : E →L[𝕜] F} {a : E} (hf : HasStrictFDerivAt f f' a) {c : ℝ≥0} (hc : Subsingleton E ∨ 0 < c) : ∃ s ∈ 𝓝 a, ApproximatesLinearOn f f' s c := by cases' hc with hE hc · refine ⟨univ, IsOpen.mem_nhds isOpen_univ trivial, fun x _ y _ => ?_⟩ simp [@Subsingleton.elim E hE x y] have := hf.def hc rw [nhds_prod_eq, Filter.Eventually, mem_prod_same_iff] at this rcases this with ⟨s, has, hs⟩ exact ⟨s, has, fun x hx y hy => hs (mk_mem_prod hx hy)⟩ #align has_strict_fderiv_at.approximates_deriv_on_nhds HasStrictFDerivAt.approximates_deriv_on_nhds
Mathlib/Analysis/Calculus/InverseFunctionTheorem/FDeriv.lean
86
96
theorem map_nhds_eq_of_surj [CompleteSpace E] [CompleteSpace F] {f : E → F} {f' : E →L[𝕜] F} {a : E} (hf : HasStrictFDerivAt f (f' : E →L[𝕜] F) a) (h : LinearMap.range f' = ⊤) : map f (𝓝 a) = 𝓝 (f a) := by
let f'symm := f'.nonlinearRightInverseOfSurjective h set c : ℝ≥0 := f'symm.nnnorm⁻¹ / 2 with hc have f'symm_pos : 0 < f'symm.nnnorm := f'.nonlinearRightInverseOfSurjective_nnnorm_pos h have cpos : 0 < c := by simp [hc, half_pos, inv_pos, f'symm_pos] obtain ⟨s, s_nhds, hs⟩ : ∃ s ∈ 𝓝 a, ApproximatesLinearOn f f' s c := hf.approximates_deriv_on_nhds (Or.inr cpos) apply hs.map_nhds_eq f'symm s_nhds (Or.inr (NNReal.half_lt_self _)) simp [ne_of_gt f'symm_pos]
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import Batteries.Data.RBMap.Alter import Batteries.Data.List.Lemmas namespace Batteries namespace RBNode open RBColor attribute [simp] fold foldl foldr Any forM foldlM Ordered @[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by unfold RBNode.max?; split <;> simp [RBNode.min?] unfold RBNode.min?; rw [min?.match_1.eq_3] · apply min?_reverse · simpa [reverse_eq_iff] @[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by rw [← min?_reverse, reverse_reverse] @[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem] @[simp] theorem mem_node {y c a x b} : y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem] theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by induction t <;> simp [or_imp, forall_and, *] theorem Any_def {t : RBNode α} : t.Any p ↔ ∃ x ∈ t, p x := by induction t <;> simp [or_and_right, exists_or, *] theorem memP_def : MemP cut t ↔ ∃ x ∈ t, cut x = .eq := Any_def theorem mem_def : Mem cmp x t ↔ ∃ y ∈ t, cmp x y = .eq := Any_def theorem mem_congr [@TransCmp α cmp] {t : RBNode α} (h : cmp x y = .eq) : Mem cmp x t ↔ Mem cmp y t := by simp [Mem, TransCmp.cmp_congr_left' h] theorem isOrdered_iff' [@TransCmp α cmp] {t : RBNode α} : isOrdered cmp t L R ↔ (∀ a ∈ L, t.All (cmpLT cmp a ·)) ∧ (∀ a ∈ R, t.All (cmpLT cmp · a)) ∧ (∀ a ∈ L, ∀ b ∈ R, cmpLT cmp a b) ∧ Ordered cmp t := by induction t generalizing L R with | nil => simp [isOrdered]; split <;> simp [cmpLT_iff] next h => intro _ ha _ hb; cases h _ _ ha hb | node _ l v r => simp [isOrdered, *] exact ⟨ fun ⟨⟨Ll, lv, Lv, ol⟩, ⟨vr, rR, vR, or⟩⟩ => ⟨ fun _ h => ⟨Lv _ h, Ll _ h, (Lv _ h).trans_l vr⟩, fun _ h => ⟨vR _ h, (vR _ h).trans_r lv, rR _ h⟩, fun _ hL _ hR => (Lv _ hL).trans (vR _ hR), lv, vr, ol, or⟩, fun ⟨hL, hR, _, lv, vr, ol, or⟩ => ⟨ ⟨fun _ h => (hL _ h).2.1, lv, fun _ h => (hL _ h).1, ol⟩, ⟨vr, fun _ h => (hR _ h).2.2, fun _ h => (hR _ h).1, or⟩⟩⟩ theorem isOrdered_iff [@TransCmp α cmp] {t : RBNode α} : isOrdered cmp t ↔ Ordered cmp t := by simp [isOrdered_iff'] instance (cmp) [@TransCmp α cmp] (t) : Decidable (Ordered cmp t) := decidable_of_iff _ isOrdered_iff class IsCut (cmp : α → α → Ordering) (cut : α → Ordering) : Prop where le_lt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut x = .lt → cut y = .lt le_gt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut y = .gt → cut x = .gt theorem IsCut.lt_trans [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .lt) : cut x = .lt → cut y = .lt := IsCut.le_lt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H theorem IsCut.gt_trans [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .lt) : cut y = .gt → cut x = .gt := IsCut.le_gt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
.lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean
92
100
theorem IsCut.congr [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .eq) : cut x = cut y := by
cases ey : cut y · exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h) ey · cases ex : cut x · exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans h) ex |>.symm.trans ey · rfl · refine IsCut.le_gt_trans (cmp := cmp) (fun h => ?_) ex |>.symm.trans ey cases H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h · exact IsCut.le_gt_trans (fun h => nomatch H.symm.trans h) ey
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import Mathlib.Data.Fintype.List #align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49" assert_not_exists MonoidWithZero namespace List variable {α : Type*} [DecidableEq α] def nextOr : ∀ (_ : List α) (_ _ : α), α | [], _, default => default | [_], _, default => default -- Handles the not-found and the wraparound case | y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default #align list.next_or List.nextOr @[simp] theorem nextOr_nil (x d : α) : nextOr [] x d = d := rfl #align list.next_or_nil List.nextOr_nil @[simp] theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d := rfl #align list.next_or_singleton List.nextOr_singleton @[simp] theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y := if_pos rfl #align list.next_or_self_cons_cons List.nextOr_self_cons_cons theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) : nextOr (y :: xs) x d = nextOr xs x d := by cases' xs with z zs · rfl · exact if_neg h #align list.next_or_cons_of_ne List.nextOr_cons_of_ne theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs) (x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by induction' xs with y ys IH · cases x_mem cases' ys with z zs · simp at x_mem x_ne contradiction by_cases h : x = y · rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons] · rw [nextOr, nextOr, IH] · simpa [h] using x_mem · simpa using x_ne #align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne
Mathlib/Data/List/Cycle.lean
76
84
theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by
induction' xs with y ys IH · simp at h cases' ys with z zs · simp at h · by_cases hx : x = y · simp [hx] · rw [nextOr_cons_of_ne _ _ _ _ hx] at h simpa [hx] using IH h
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import Mathlib.Analysis.Calculus.FDeriv.Analytic import Mathlib.Analysis.Asymptotics.SpecificAsymptotics import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.complex.removable_singularity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open TopologicalSpace Metric Set Filter Asymptotics Function open scoped Topology Filter NNReal Real universe u variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℂ E] [CompleteSpace E] namespace Complex
Mathlib/Analysis/Complex/RemovableSingularity.lean
34
43
theorem analyticAt_of_differentiable_on_punctured_nhds_of_continuousAt {f : ℂ → E} {c : ℂ} (hd : ∀ᶠ z in 𝓝[≠] c, DifferentiableAt ℂ f z) (hc : ContinuousAt f c) : AnalyticAt ℂ f c := by
rcases (nhdsWithin_hasBasis nhds_basis_closedBall _).mem_iff.1 hd with ⟨R, hR0, hRs⟩ lift R to ℝ≥0 using hR0.le replace hc : ContinuousOn f (closedBall c R) := by refine fun z hz => ContinuousAt.continuousWithinAt ?_ rcases eq_or_ne z c with (rfl | hne) exacts [hc, (hRs ⟨hz, hne⟩).continuousAt] exact (hasFPowerSeriesOnBall_of_differentiable_off_countable (countable_singleton c) hc (fun z hz => hRs (diff_subset_diff_left ball_subset_closedBall hz)) hR0).analyticAt
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import Mathlib.CategoryTheory.Elementwise import Mathlib.CategoryTheory.Adjunction.Evaluation import Mathlib.Tactic.CategoryTheory.Elementwise import Mathlib.CategoryTheory.Adhesive import Mathlib.CategoryTheory.Sites.ConcreteSheafification #align_import category_theory.sites.subsheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe w v u open Opposite CategoryTheory namespace CategoryTheory.GrothendieckTopology variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) @[ext] structure Subpresheaf (F : Cᵒᵖ ⥤ Type w) where obj : ∀ U, Set (F.obj U) map : ∀ {U V : Cᵒᵖ} (i : U ⟶ V), obj U ⊆ F.map i ⁻¹' obj V #align category_theory.grothendieck_topology.subpresheaf CategoryTheory.GrothendieckTopology.Subpresheaf variable {F F' F'' : Cᵒᵖ ⥤ Type w} (G G' : Subpresheaf F) instance : PartialOrder (Subpresheaf F) := PartialOrder.lift Subpresheaf.obj Subpresheaf.ext instance : Top (Subpresheaf F) := ⟨⟨fun U => ⊤, @fun U V _ x _ => by aesop_cat⟩⟩ instance : Nonempty (Subpresheaf F) := inferInstance @[simps!] def Subpresheaf.toPresheaf : Cᵒᵖ ⥤ Type w where obj U := G.obj U map := @fun U V i x => ⟨F.map i x, G.map i x.prop⟩ map_id X := by ext ⟨x, _⟩ dsimp simp only [FunctorToTypes.map_id_apply] map_comp := @fun X Y Z i j => by ext ⟨x, _⟩ dsimp simp only [FunctorToTypes.map_comp_apply] #align category_theory.grothendieck_topology.subpresheaf.to_presheaf CategoryTheory.GrothendieckTopology.Subpresheaf.toPresheaf instance {U} : CoeHead (G.toPresheaf.obj U) (F.obj U) where coe := Subtype.val @[simps] def Subpresheaf.ι : G.toPresheaf ⟶ F where app U x := x #align category_theory.grothendieck_topology.subpresheaf.ι CategoryTheory.GrothendieckTopology.Subpresheaf.ι instance : Mono G.ι := ⟨@fun _ f₁ f₂ e => NatTrans.ext f₁ f₂ <| funext fun U => funext fun x => Subtype.ext <| congr_fun (congr_app e U) x⟩ @[simps] def Subpresheaf.homOfLe {G G' : Subpresheaf F} (h : G ≤ G') : G.toPresheaf ⟶ G'.toPresheaf where app U x := ⟨x, h U x.prop⟩ #align category_theory.grothendieck_topology.subpresheaf.hom_of_le CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe instance {G G' : Subpresheaf F} (h : G ≤ G') : Mono (Subpresheaf.homOfLe h) := ⟨fun f₁ f₂ e => NatTrans.ext f₁ f₂ <| funext fun U => funext fun x => Subtype.ext <| (congr_arg Subtype.val <| (congr_fun (congr_app e U) x : _) : _)⟩ @[reassoc (attr := simp)] theorem Subpresheaf.homOfLe_ι {G G' : Subpresheaf F} (h : G ≤ G') : Subpresheaf.homOfLe h ≫ G'.ι = G.ι := by ext rfl #align category_theory.grothendieck_topology.subpresheaf.hom_of_le_ι CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe_ι instance : IsIso (Subpresheaf.ι (⊤ : Subpresheaf F)) := by refine @NatIso.isIso_of_isIso_app _ _ _ _ _ _ _ ?_ intro X rw [isIso_iff_bijective] exact ⟨Subtype.coe_injective, fun x => ⟨⟨x, _root_.trivial⟩, rfl⟩⟩
Mathlib/CategoryTheory/Sites/Subsheaf.lean
122
130
theorem Subpresheaf.eq_top_iff_isIso : G = ⊤ ↔ IsIso G.ι := by
constructor · rintro rfl infer_instance · intro H ext U x apply iff_true_iff.mpr rw [← IsIso.inv_hom_id_apply (G.ι.app U) x] exact ((inv (G.ι.app U)) x).2
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import Mathlib.Data.Matrix.Basis import Mathlib.RingTheory.TensorProduct.Basic #align_import ring_theory.matrix_algebra from "leanprover-community/mathlib"@"6c351a8fb9b06e5a542fdf427bfb9f46724f9453" suppress_compilation universe u v w open TensorProduct open TensorProduct open Algebra.TensorProduct open Matrix variable {R : Type u} [CommSemiring R] variable {A : Type v} [Semiring A] [Algebra R A] variable {n : Type w} variable (R A n) namespace MatrixEquivTensor def toFunBilinear : A →ₗ[R] Matrix n n R →ₗ[R] Matrix n n A := (Algebra.lsmul R R (Matrix n n A)).toLinearMap.compl₂ (Algebra.linearMap R A).mapMatrix #align matrix_equiv_tensor.to_fun_bilinear MatrixEquivTensor.toFunBilinear @[simp] theorem toFunBilinear_apply (a : A) (m : Matrix n n R) : toFunBilinear R A n a m = a • m.map (algebraMap R A) := rfl #align matrix_equiv_tensor.to_fun_bilinear_apply MatrixEquivTensor.toFunBilinear_apply def toFunLinear : A ⊗[R] Matrix n n R →ₗ[R] Matrix n n A := TensorProduct.lift (toFunBilinear R A n) #align matrix_equiv_tensor.to_fun_linear MatrixEquivTensor.toFunLinear variable [DecidableEq n] [Fintype n] def toFunAlgHom : A ⊗[R] Matrix n n R →ₐ[R] Matrix n n A := algHomOfLinearMapTensorProduct (toFunLinear R A n) (by intros simp_rw [toFunLinear, lift.tmul, toFunBilinear_apply, Matrix.map_mul] ext dsimp simp_rw [Matrix.mul_apply, Matrix.smul_apply, Matrix.map_apply, smul_eq_mul, Finset.mul_sum, _root_.mul_assoc, Algebra.left_comm]) (by simp_rw [toFunLinear, lift.tmul, toFunBilinear_apply, Matrix.map_one (algebraMap R A) (map_zero _) (map_one _), one_smul]) #align matrix_equiv_tensor.to_fun_alg_hom MatrixEquivTensor.toFunAlgHom @[simp] theorem toFunAlgHom_apply (a : A) (m : Matrix n n R) : toFunAlgHom R A n (a ⊗ₜ m) = a • m.map (algebraMap R A) := rfl #align matrix_equiv_tensor.to_fun_alg_hom_apply MatrixEquivTensor.toFunAlgHom_apply def invFun (M : Matrix n n A) : A ⊗[R] Matrix n n R := ∑ p : n × n, M p.1 p.2 ⊗ₜ stdBasisMatrix p.1 p.2 1 #align matrix_equiv_tensor.inv_fun MatrixEquivTensor.invFun @[simp] theorem invFun_zero : invFun R A n 0 = 0 := by simp [invFun] #align matrix_equiv_tensor.inv_fun_zero MatrixEquivTensor.invFun_zero @[simp] theorem invFun_add (M N : Matrix n n A) : invFun R A n (M + N) = invFun R A n M + invFun R A n N := by simp [invFun, add_tmul, Finset.sum_add_distrib] #align matrix_equiv_tensor.inv_fun_add MatrixEquivTensor.invFun_add @[simp] theorem invFun_smul (a : A) (M : Matrix n n A) : invFun R A n (a • M) = a ⊗ₜ 1 * invFun R A n M := by simp [invFun, Finset.mul_sum] #align matrix_equiv_tensor.inv_fun_smul MatrixEquivTensor.invFun_smul @[simp] theorem invFun_algebraMap (M : Matrix n n R) : invFun R A n (M.map (algebraMap R A)) = 1 ⊗ₜ M := by dsimp [invFun] simp only [Algebra.algebraMap_eq_smul_one, smul_tmul, ← tmul_sum, mul_boole] congr conv_rhs => rw [matrix_eq_sum_std_basis M] convert Finset.sum_product (β := Matrix n n R); simp #align matrix_equiv_tensor.inv_fun_algebra_map MatrixEquivTensor.invFun_algebraMap
Mathlib/RingTheory/MatrixAlgebra.lean
113
121
theorem right_inv (M : Matrix n n A) : (toFunAlgHom R A n) (invFun R A n M) = M := by
simp only [invFun, AlgHom.map_sum, stdBasisMatrix, apply_ite ↑(algebraMap R A), smul_eq_mul, mul_boole, toFunAlgHom_apply, RingHom.map_zero, RingHom.map_one, Matrix.map_apply, Pi.smul_def] convert Finset.sum_product (β := Matrix n n A) conv_lhs => rw [matrix_eq_sum_std_basis M] refine Finset.sum_congr rfl fun i _ => Finset.sum_congr rfl fun j _ => Matrix.ext fun a b => ?_ simp only [stdBasisMatrix, smul_apply, Matrix.map_apply] split_ifs <;> aesop
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import Batteries.Data.Char import Batteries.Data.List.Lemmas import Batteries.Data.String.Basic import Batteries.Tactic.Lint.Misc import Batteries.Tactic.SeqFocus namespace String attribute [ext] ext theorem lt_trans {s₁ s₂ s₃ : String} : s₁ < s₂ → s₂ < s₃ → s₁ < s₃ := List.lt_trans' (α := Char) Nat.lt_trans (fun h1 h2 => Nat.not_lt.2 <| Nat.le_trans (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) theorem lt_antisymm {s₁ s₂ : String} (h₁ : ¬s₁ < s₂) (h₂ : ¬s₂ < s₁) : s₁ = s₂ := ext <| List.lt_antisymm' (α := Char) (fun h1 h2 => Char.le_antisymm (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) h₁ h₂ instance : Batteries.TransOrd String := .compareOfLessAndEq String.lt_irrefl String.lt_trans String.lt_antisymm instance : Batteries.LTOrd String := .compareOfLessAndEq String.lt_irrefl String.lt_trans String.lt_antisymm instance : Batteries.BEqOrd String := .compareOfLessAndEq String.lt_irrefl @[simp] theorem mk_length (s : List Char) : (String.mk s).length = s.length := rfl attribute [simp] toList -- prefer `String.data` over `String.toList` in lemmas private theorem add_csize_pos : 0 < i + csize c := Nat.add_pos_right _ (csize_pos c) private theorem ne_add_csize_add_self : i ≠ n + csize c + i := Nat.ne_of_lt (Nat.lt_add_of_pos_left add_csize_pos) private theorem ne_self_add_add_csize : i ≠ i + (n + csize c) := Nat.ne_of_lt (Nat.lt_add_of_pos_right add_csize_pos) @[inline] def utf8Len : List Char → Nat := utf8ByteSize.go @[simp] theorem utf8ByteSize.go_eq : utf8ByteSize.go = utf8Len := rfl @[simp] theorem utf8ByteSize_mk (cs) : utf8ByteSize ⟨cs⟩ = utf8Len cs := rfl @[simp] theorem utf8Len_nil : utf8Len [] = 0 := rfl @[simp] theorem utf8Len_cons (c cs) : utf8Len (c :: cs) = utf8Len cs + csize c := rfl @[simp] theorem utf8Len_append (cs₁ cs₂) : utf8Len (cs₁ ++ cs₂) = utf8Len cs₁ + utf8Len cs₂ := by induction cs₁ <;> simp [*, Nat.add_right_comm] @[simp] theorem utf8Len_reverseAux (cs₁ cs₂) : utf8Len (cs₁.reverseAux cs₂) = utf8Len cs₁ + utf8Len cs₂ := by induction cs₁ generalizing cs₂ <;> simp [*, ← Nat.add_assoc, Nat.add_right_comm] @[simp] theorem utf8Len_reverse (cs) : utf8Len cs.reverse = utf8Len cs := utf8Len_reverseAux .. @[simp] theorem utf8Len_eq_zero : utf8Len l = 0 ↔ l = [] := by cases l <;> simp [Nat.ne_of_gt add_csize_pos] section open List theorem utf8Len_le_of_sublist : ∀ {cs₁ cs₂}, cs₁ <+ cs₂ → utf8Len cs₁ ≤ utf8Len cs₂ | _, _, .slnil => Nat.le_refl _ | _, _, .cons _ h => Nat.le_trans (utf8Len_le_of_sublist h) (Nat.le_add_right ..) | _, _, .cons₂ _ h => Nat.add_le_add_right (utf8Len_le_of_sublist h) _ theorem utf8Len_le_of_infix (h : cs₁ <:+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist theorem utf8Len_le_of_suffix (h : cs₁ <:+ cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist theorem utf8Len_le_of_prefix (h : cs₁ <+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ := utf8Len_le_of_sublist h.sublist end @[simp] theorem endPos_eq (cs : List Char) : endPos ⟨cs⟩ = ⟨utf8Len cs⟩ := rfl theorem endPos_eq_zero : ∀ (s : String), endPos s = 0 ↔ s = "" | ⟨_⟩ => Pos.ext_iff.trans <| utf8Len_eq_zero.trans ext_iff.symm theorem isEmpty_iff (s : String) : isEmpty s ↔ s = "" := (beq_iff_eq ..).trans (endPos_eq_zero _) def utf8InductionOn {motive : List Char → Pos → Sort u} (s : List Char) (i p : Pos) (nil : ∀ i, motive [] i) (eq : ∀ c cs, motive (c :: cs) p) (ind : ∀ (c : Char) cs i, i ≠ p → motive cs (i + c) → motive (c :: cs) i) : motive s i := match s with | [] => nil i | c::cs => if h : i = p then h ▸ eq c cs else ind c cs i h (utf8InductionOn cs (i + c) p nil eq ind)
.lake/packages/batteries/Batteries/Data/String/Lemmas.lean
134
143
theorem utf8GetAux_add_right_cancel (s : List Char) (i p n : Nat) : utf8GetAux s ⟨i + n⟩ ⟨p + n⟩ = utf8GetAux s ⟨i⟩ ⟨p⟩ := by
apply utf8InductionOn s ⟨i⟩ ⟨p⟩ (motive := fun s i => utf8GetAux s ⟨i.byteIdx + n⟩ ⟨p + n⟩ = utf8GetAux s i ⟨p⟩) <;> simp [utf8GetAux] intro c cs ⟨i⟩ h ih simp [Pos.ext_iff, Pos.addChar_eq] at h ⊢ simp [Nat.add_right_cancel_iff, h] rw [Nat.add_right_comm] exact ih
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import Mathlib.Topology.Category.TopCat.Limits.Pullbacks import Mathlib.Geometry.RingedSpace.LocallyRingedSpace #align_import algebraic_geometry.open_immersion.basic from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1" -- Porting note: due to `PresheafedSpace`, `SheafedSpace` and `LocallyRingedSpace` set_option linter.uppercaseLean3 false open TopologicalSpace CategoryTheory Opposite open CategoryTheory.Limits namespace AlgebraicGeometry universe v v₁ v₂ u variable {C : Type u} [Category.{v} C] class PresheafedSpace.IsOpenImmersion {X Y : PresheafedSpace C} (f : X ⟶ Y) : Prop where base_open : OpenEmbedding f.base c_iso : ∀ U : Opens X, IsIso (f.c.app (op (base_open.isOpenMap.functor.obj U))) #align algebraic_geometry.PresheafedSpace.is_open_immersion AlgebraicGeometry.PresheafedSpace.IsOpenImmersion abbrev SheafedSpace.IsOpenImmersion {X Y : SheafedSpace C} (f : X ⟶ Y) : Prop := PresheafedSpace.IsOpenImmersion f #align algebraic_geometry.SheafedSpace.is_open_immersion AlgebraicGeometry.SheafedSpace.IsOpenImmersion abbrev LocallyRingedSpace.IsOpenImmersion {X Y : LocallyRingedSpace} (f : X ⟶ Y) : Prop := SheafedSpace.IsOpenImmersion f.1 #align algebraic_geometry.LocallyRingedSpace.is_open_immersion AlgebraicGeometry.LocallyRingedSpace.IsOpenImmersion namespace PresheafedSpace.IsOpenImmersion open PresheafedSpace local notation "IsOpenImmersion" => PresheafedSpace.IsOpenImmersion attribute [instance] IsOpenImmersion.c_iso section variable {X Y : PresheafedSpace C} {f : X ⟶ Y} (H : IsOpenImmersion f) abbrev openFunctor := H.base_open.isOpenMap.functor #align algebraic_geometry.PresheafedSpace.is_open_immersion.open_functor AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.openFunctor @[simps! hom_c_app] noncomputable def isoRestrict : X ≅ Y.restrict H.base_open := PresheafedSpace.isoOfComponents (Iso.refl _) <| by symm fapply NatIso.ofComponents · intro U refine asIso (f.c.app (op (H.openFunctor.obj (unop U)))) ≪≫ X.presheaf.mapIso (eqToIso ?_) induction U using Opposite.rec' with | h U => ?_ cases U dsimp only [IsOpenMap.functor, Functor.op, Opens.map] congr 2 erw [Set.preimage_image_eq _ H.base_open.inj] rfl · intro U V i simp only [CategoryTheory.eqToIso.hom, TopCat.Presheaf.pushforwardObj_map, Category.assoc, Functor.op_map, Iso.trans_hom, asIso_hom, Functor.mapIso_hom, ← X.presheaf.map_comp] erw [f.c.naturality_assoc, ← X.presheaf.map_comp] congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict @[simp]
Mathlib/Geometry/RingedSpace/OpenImmersion.lean
133
141
theorem isoRestrict_hom_ofRestrict : H.isoRestrict.hom ≫ Y.ofRestrict _ = f := by
-- Porting note: `ext` did not pick up `NatTrans.ext` refine PresheafedSpace.Hom.ext _ _ rfl <| NatTrans.ext _ _ <| funext fun x => ?_ simp only [isoRestrict_hom_c_app, NatTrans.comp_app, eqToHom_refl, ofRestrict_c_app, Category.assoc, whiskerRight_id'] erw [Category.comp_id, comp_c_app, f.c.naturality_assoc, ← X.presheaf.map_comp] trans f.c.app x ≫ X.presheaf.map (𝟙 _) · congr 1 · erw [X.presheaf.map_id, Category.comp_id]
8
import Mathlib.Data.Matrix.Basic import Mathlib.Data.PEquiv #align_import data.matrix.pequiv from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" namespace PEquiv open Matrix universe u v variable {k l m n : Type*} variable {α : Type v} open Matrix def toMatrix [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : Matrix m n α := of fun i j => if j ∈ f i then (1 : α) else 0 #align pequiv.to_matrix PEquiv.toMatrix -- TODO: set as an equation lemma for `toMatrix`, see mathlib4#3024 @[simp] theorem toMatrix_apply [DecidableEq n] [Zero α] [One α] (f : m ≃. n) (i j) : toMatrix f i j = if j ∈ f i then (1 : α) else 0 := rfl #align pequiv.to_matrix_apply PEquiv.toMatrix_apply theorem mul_matrix_apply [Fintype m] [DecidableEq m] [Semiring α] (f : l ≃. m) (M : Matrix m n α) (i j) : (f.toMatrix * M :) i j = Option.casesOn (f i) 0 fun fi => M fi j := by dsimp [toMatrix, Matrix.mul_apply] cases' h : f i with fi · simp [h] · rw [Finset.sum_eq_single fi] <;> simp (config := { contextual := true }) [h, eq_comm] #align pequiv.mul_matrix_apply PEquiv.mul_matrix_apply theorem toMatrix_symm [DecidableEq m] [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : (f.symm.toMatrix : Matrix n m α) = f.toMatrixᵀ := by ext simp only [transpose, mem_iff_mem f, toMatrix_apply] congr #align pequiv.to_matrix_symm PEquiv.toMatrix_symm @[simp] theorem toMatrix_refl [DecidableEq n] [Zero α] [One α] : ((PEquiv.refl n).toMatrix : Matrix n n α) = 1 := by ext simp [toMatrix_apply, one_apply] #align pequiv.to_matrix_refl PEquiv.toMatrix_refl
Mathlib/Data/Matrix/PEquiv.lean
84
93
theorem matrix_mul_apply [Fintype m] [Semiring α] [DecidableEq n] (M : Matrix l m α) (f : m ≃. n) (i j) : (M * f.toMatrix :) i j = Option.casesOn (f.symm j) 0 fun fj => M i fj := by
dsimp [toMatrix, Matrix.mul_apply] cases' h : f.symm j with fj · simp [h, ← f.eq_some_iff] · rw [Finset.sum_eq_single fj] · simp [h, ← f.eq_some_iff] · rintro b - n simp [h, ← f.eq_some_iff, n.symm] · simp
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import Mathlib.Algebra.Lie.Submodule #align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d" universe u v w w₁ w₂ namespace LieSubmodule variable {R : Type u} {L : Type v} {M : Type w} {M₂ : Type w₁} variable [CommRing R] [LieRing L] [LieAlgebra R L] variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M] variable [AddCommGroup M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂] variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂) section LieIdealOperations instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) := ⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩ #align lie_submodule.has_bracket LieSubmodule.hasBracket theorem lieIdeal_oper_eq_span : ⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := rfl #align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span theorem lieIdeal_oper_eq_linear_span : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by apply le_antisymm · let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m } have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by intro y m' hm' refine Submodule.span_induction (R := R) (M := M) (s := s) (p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_ · rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie] refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span · use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n · use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩ · simp only [lie_zero, Submodule.zero_mem] · intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂ · intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm'' change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M) rw [lieIdeal_oper_eq_span, lieSpan_le] exact Submodule.subset_span · rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan #align lie_submodule.lie_ideal_oper_eq_linear_span LieSubmodule.lieIdeal_oper_eq_linear_span
Mathlib/Algebra/Lie/IdealOperations.lean
84
93
theorem lieIdeal_oper_eq_linear_span' : (↑⁅I, N⁆ : Submodule R M) = Submodule.span R { m | ∃ x ∈ I, ∃ n ∈ N, ⁅x, n⁆ = m } := by
rw [lieIdeal_oper_eq_linear_span] congr ext m constructor · rintro ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩ exact ⟨x, hx, n, hn, rfl⟩ · rintro ⟨x, hx, n, hn, rfl⟩ exact ⟨⟨x, hx⟩, ⟨n, hn⟩, rfl⟩
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import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Nat.GCD.Basic import Mathlib.Init.Data.Nat.Lemmas import Mathlib.Logic.Function.Iterate import Mathlib.Tactic.Ring import Mathlib.Tactic.Zify #align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" namespace Nat -- Porting note: Lean cannot find pp_nodot at the time of this port. -- @[pp_nodot] def fib (n : ℕ) : ℕ := ((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst #align nat.fib Nat.fib @[simp] theorem fib_zero : fib 0 = 0 := rfl #align nat.fib_zero Nat.fib_zero @[simp] theorem fib_one : fib 1 = 1 := rfl #align nat.fib_one Nat.fib_one @[simp] theorem fib_two : fib 2 = 1 := rfl #align nat.fib_two Nat.fib_two theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by simp [fib, Function.iterate_succ_apply'] #align nat.fib_add_two Nat.fib_add_two lemma fib_add_one : ∀ {n}, n ≠ 0 → fib (n + 1) = fib (n - 1) + fib n | _n + 1, _ => fib_add_two theorem fib_le_fib_succ {n : ℕ} : fib n ≤ fib (n + 1) := by cases n <;> simp [fib_add_two] #align nat.fib_le_fib_succ Nat.fib_le_fib_succ @[mono] theorem fib_mono : Monotone fib := monotone_nat_of_le_succ fun _ => fib_le_fib_succ #align nat.fib_mono Nat.fib_mono @[simp] lemma fib_eq_zero : ∀ {n}, fib n = 0 ↔ n = 0 | 0 => Iff.rfl | 1 => Iff.rfl | n + 2 => by simp [fib_add_two, fib_eq_zero] @[simp] lemma fib_pos {n : ℕ} : 0 < fib n ↔ 0 < n := by simp [pos_iff_ne_zero] #align nat.fib_pos Nat.fib_pos theorem fib_add_two_sub_fib_add_one {n : ℕ} : fib (n + 2) - fib (n + 1) = fib n := by rw [fib_add_two, add_tsub_cancel_right] #align nat.fib_add_two_sub_fib_add_one Nat.fib_add_two_sub_fib_add_one theorem fib_lt_fib_succ {n : ℕ} (hn : 2 ≤ n) : fib n < fib (n + 1) := by rcases exists_add_of_le hn with ⟨n, rfl⟩ rw [← tsub_pos_iff_lt, add_comm 2, add_right_comm, fib_add_two, add_tsub_cancel_right, fib_pos] exact succ_pos n #align nat.fib_lt_fib_succ Nat.fib_lt_fib_succ theorem fib_add_two_strictMono : StrictMono fun n => fib (n + 2) := by refine strictMono_nat_of_lt_succ fun n => ?_ rw [add_right_comm] exact fib_lt_fib_succ (self_le_add_left _ _) #align nat.fib_add_two_strict_mono Nat.fib_add_two_strictMono lemma fib_strictMonoOn : StrictMonoOn fib (Set.Ici 2) | _m + 2, _, _n + 2, _, hmn => fib_add_two_strictMono <| lt_of_add_lt_add_right hmn lemma fib_lt_fib {m : ℕ} (hm : 2 ≤ m) : ∀ {n}, fib m < fib n ↔ m < n | 0 => by simp [hm] | 1 => by simp [hm] | n + 2 => fib_strictMonoOn.lt_iff_lt hm <| by simp
Mathlib/Data/Nat/Fib/Basic.lean
135
143
theorem le_fib_self {n : ℕ} (five_le_n : 5 ≤ n) : n ≤ fib n := by
induction' five_le_n with n five_le_n IH ·-- 5 ≤ fib 5 rfl · -- n + 1 ≤ fib (n + 1) for 5 ≤ n rw [succ_le_iff] calc n ≤ fib n := IH _ < fib (n + 1) := fib_lt_fib_succ (le_trans (by decide) five_le_n)
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import Mathlib.Probability.Process.Filtration import Mathlib.Topology.Instances.Discrete #align_import probability.process.adapted from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Filter Order TopologicalSpace open scoped Classical MeasureTheory NNReal ENNReal Topology namespace MeasureTheory variable {Ω β ι : Type*} {m : MeasurableSpace Ω} [TopologicalSpace β] [Preorder ι] {u v : ι → Ω → β} {f : Filtration ι m} def Adapted (f : Filtration ι m) (u : ι → Ω → β) : Prop := ∀ i : ι, StronglyMeasurable[f i] (u i) #align measure_theory.adapted MeasureTheory.Adapted theorem adapted_const (f : Filtration ι m) (x : β) : Adapted f fun _ _ => x := fun _ => stronglyMeasurable_const #align measure_theory.adapted_const MeasureTheory.adapted_const variable (β) theorem adapted_zero [Zero β] (f : Filtration ι m) : Adapted f (0 : ι → Ω → β) := fun i => @stronglyMeasurable_zero Ω β (f i) _ _ #align measure_theory.adapted_zero MeasureTheory.adapted_zero variable {β} theorem Filtration.adapted_natural [MetrizableSpace β] [mβ : MeasurableSpace β] [BorelSpace β] {u : ι → Ω → β} (hum : ∀ i, StronglyMeasurable[m] (u i)) : Adapted (Filtration.natural u hum) u := by intro i refine StronglyMeasurable.mono ?_ (le_iSup₂_of_le i (le_refl i) le_rfl) rw [stronglyMeasurable_iff_measurable_separable] exact ⟨measurable_iff_comap_le.2 le_rfl, (hum i).isSeparable_range⟩ #align measure_theory.filtration.adapted_natural MeasureTheory.Filtration.adapted_natural def ProgMeasurable [MeasurableSpace ι] (f : Filtration ι m) (u : ι → Ω → β) : Prop := ∀ i, StronglyMeasurable[Subtype.instMeasurableSpace.prod (f i)] fun p : Set.Iic i × Ω => u p.1 p.2 #align measure_theory.prog_measurable MeasureTheory.ProgMeasurable theorem progMeasurable_const [MeasurableSpace ι] (f : Filtration ι m) (b : β) : ProgMeasurable f (fun _ _ => b : ι → Ω → β) := fun i => @stronglyMeasurable_const _ _ (Subtype.instMeasurableSpace.prod (f i)) _ _ #align measure_theory.prog_measurable_const MeasureTheory.progMeasurable_const namespace ProgMeasurable variable [MeasurableSpace ι] protected theorem adapted (h : ProgMeasurable f u) : Adapted f u := by intro i have : u i = (fun p : Set.Iic i × Ω => u p.1 p.2) ∘ fun x => (⟨i, Set.mem_Iic.mpr le_rfl⟩, x) := rfl rw [this] exact (h i).comp_measurable measurable_prod_mk_left #align measure_theory.prog_measurable.adapted MeasureTheory.ProgMeasurable.adapted protected theorem comp {t : ι → Ω → ι} [TopologicalSpace ι] [BorelSpace ι] [MetrizableSpace ι] (h : ProgMeasurable f u) (ht : ProgMeasurable f t) (ht_le : ∀ i ω, t i ω ≤ i) : ProgMeasurable f fun i ω => u (t i ω) ω := by intro i have : (fun p : ↥(Set.Iic i) × Ω => u (t (p.fst : ι) p.snd) p.snd) = (fun p : ↥(Set.Iic i) × Ω => u (p.fst : ι) p.snd) ∘ fun p : ↥(Set.Iic i) × Ω => (⟨t (p.fst : ι) p.snd, Set.mem_Iic.mpr ((ht_le _ _).trans p.fst.prop)⟩, p.snd) := rfl rw [this] exact (h i).comp_measurable ((ht i).measurable.subtype_mk.prod_mk measurable_snd) #align measure_theory.prog_measurable.comp MeasureTheory.ProgMeasurable.comp
Mathlib/Probability/Process/Adapted.lean
188
198
theorem progMeasurable_of_tendsto' {γ} [MeasurableSpace ι] [PseudoMetrizableSpace β] (fltr : Filter γ) [fltr.NeBot] [fltr.IsCountablyGenerated] {U : γ → ι → Ω → β} (h : ∀ l, ProgMeasurable f (U l)) (h_tendsto : Tendsto U fltr (𝓝 u)) : ProgMeasurable f u := by
intro i apply @stronglyMeasurable_of_tendsto (Set.Iic i × Ω) β γ (MeasurableSpace.prod _ (f i)) _ _ fltr _ _ _ _ fun l => h l i rw [tendsto_pi_nhds] at h_tendsto ⊢ intro x specialize h_tendsto x.fst rw [tendsto_nhds] at h_tendsto ⊢ exact fun s hs h_mem => h_tendsto {g | g x.snd ∈ s} (hs.preimage (continuous_apply x.snd)) h_mem
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import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.Data.Complex.Orientation import Mathlib.Tactic.LinearCombination #align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af" noncomputable section open scoped RealInnerProductSpace ComplexConjugate open FiniteDimensional lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K] [AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V := .of_fact_finrank_eq_succ 1 attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two @[deprecated (since := "2024-02-02")] alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two := FiniteDimensional.of_fact_finrank_eq_two variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)] (o : Orientation ℝ E (Fin 2)) namespace Orientation irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ := AlternatingMap.constLinearEquivOfIsEmpty.symm let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ := LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm #align orientation.area_form Orientation.areaForm local notation "ω" => o.areaForm theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm] #align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm @[simp] theorem areaForm_apply_self (x : E) : ω x x = 0 := by rw [areaForm_to_volumeForm] refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1) · simp · norm_num #align orientation.area_form_apply_self Orientation.areaForm_apply_self theorem areaForm_swap (x y : E) : ω x y = -ω y x := by simp only [areaForm_to_volumeForm] convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1) · ext i fin_cases i <;> rfl · norm_num #align orientation.area_form_swap Orientation.areaForm_swap @[simp] theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by ext x y simp [areaForm_to_volumeForm] #align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation def areaForm' : E →L[ℝ] E →L[ℝ] ℝ := LinearMap.toContinuousLinearMap (↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm) #align orientation.area_form' Orientation.areaForm' @[simp] theorem areaForm'_apply (x : E) : o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) := rfl #align orientation.area_form'_apply Orientation.areaForm'_apply theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y] #align orientation.abs_area_form_le Orientation.abs_areaForm_le theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y] #align orientation.area_form_le Orientation.areaForm_le
Mathlib/Analysis/InnerProductSpace/TwoDim.lean
150
158
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal] · simp [Fin.prod_univ_succ] intro i j hij fin_cases i <;> fin_cases j · simp_all · simpa using h · simpa [real_inner_comm] using h · simp_all
8
import Mathlib.Analysis.SpecialFunctions.Gamma.Beta import Mathlib.NumberTheory.LSeries.HurwitzZeta import Mathlib.Analysis.Complex.RemovableSingularity import Mathlib.Analysis.PSeriesComplex #align_import number_theory.zeta_function from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf" open MeasureTheory Set Filter Asymptotics TopologicalSpace Real Asymptotics Classical HurwitzZeta open Complex hiding exp norm_eq_abs abs_of_nonneg abs_two continuous_exp open scoped Topology Real Nat noncomputable section def completedRiemannZeta₀ (s : ℂ) : ℂ := completedHurwitzZetaEven₀ 0 s #align riemann_completed_zeta₀ completedRiemannZeta₀ def completedRiemannZeta (s : ℂ) : ℂ := completedHurwitzZetaEven 0 s #align riemann_completed_zeta completedRiemannZeta lemma HurwitzZeta.completedHurwitzZetaEven_zero (s : ℂ) : completedHurwitzZetaEven 0 s = completedRiemannZeta s := rfl lemma HurwitzZeta.completedHurwitzZetaEven₀_zero (s : ℂ) : completedHurwitzZetaEven₀ 0 s = completedRiemannZeta₀ s := rfl lemma HurwitzZeta.completedCosZeta_zero (s : ℂ) : completedCosZeta 0 s = completedRiemannZeta s := by rw [completedRiemannZeta, completedHurwitzZetaEven, completedCosZeta, hurwitzEvenFEPair_zero_symm] lemma HurwitzZeta.completedCosZeta₀_zero (s : ℂ) : completedCosZeta₀ 0 s = completedRiemannZeta₀ s := by rw [completedRiemannZeta₀, completedHurwitzZetaEven₀, completedCosZeta₀, hurwitzEvenFEPair_zero_symm] lemma completedRiemannZeta_eq (s : ℂ) : completedRiemannZeta s = completedRiemannZeta₀ s - 1 / s - 1 / (1 - s) := by simp_rw [completedRiemannZeta, completedRiemannZeta₀, completedHurwitzZetaEven_eq, if_true] theorem differentiable_completedZeta₀ : Differentiable ℂ completedRiemannZeta₀ := differentiable_completedHurwitzZetaEven₀ 0 #align differentiable_completed_zeta₀ differentiable_completedZeta₀ theorem differentiableAt_completedZeta {s : ℂ} (hs : s ≠ 0) (hs' : s ≠ 1) : DifferentiableAt ℂ completedRiemannZeta s := differentiableAt_completedHurwitzZetaEven 0 (Or.inl hs) hs' theorem completedRiemannZeta₀_one_sub (s : ℂ) : completedRiemannZeta₀ (1 - s) = completedRiemannZeta₀ s := by rw [← completedHurwitzZetaEven₀_zero, ← completedCosZeta₀_zero, completedHurwitzZetaEven₀_one_sub] #align riemann_completed_zeta₀_one_sub completedRiemannZeta₀_one_sub theorem completedRiemannZeta_one_sub (s : ℂ) : completedRiemannZeta (1 - s) = completedRiemannZeta s := by rw [← completedHurwitzZetaEven_zero, ← completedCosZeta_zero, completedHurwitzZetaEven_one_sub] #align riemann_completed_zeta_one_sub completedRiemannZeta_one_sub lemma completedRiemannZeta_residue_one : Tendsto (fun s ↦ (s - 1) * completedRiemannZeta s) (𝓝[≠] 1) (𝓝 1) := completedHurwitzZetaEven_residue_one 0 def riemannZeta := hurwitzZetaEven 0 #align riemann_zeta riemannZeta lemma HurwitzZeta.hurwitzZetaEven_zero : hurwitzZetaEven 0 = riemannZeta := rfl lemma HurwitzZeta.cosZeta_zero : cosZeta 0 = riemannZeta := by simp_rw [cosZeta, riemannZeta, hurwitzZetaEven, if_true, completedHurwitzZetaEven_zero, completedCosZeta_zero] lemma HurwitzZeta.hurwitzZeta_zero : hurwitzZeta 0 = riemannZeta := by ext1 s simpa [hurwitzZeta, hurwitzZetaEven_zero] using hurwitzZetaOdd_neg 0 s lemma HurwitzZeta.expZeta_zero : expZeta 0 = riemannZeta := by ext1 s rw [expZeta, cosZeta_zero, add_right_eq_self, mul_eq_zero, eq_false_intro I_ne_zero, false_or, ← eq_neg_self_iff, ← sinZeta_neg, neg_zero] theorem differentiableAt_riemannZeta {s : ℂ} (hs' : s ≠ 1) : DifferentiableAt ℂ riemannZeta s := differentiableAt_hurwitzZetaEven _ hs' #align differentiable_at_riemann_zeta differentiableAt_riemannZeta theorem riemannZeta_zero : riemannZeta 0 = -1 / 2 := by simp_rw [riemannZeta, hurwitzZetaEven, Function.update_same, if_true] #align riemann_zeta_zero riemannZeta_zero lemma riemannZeta_def_of_ne_zero {s : ℂ} (hs : s ≠ 0) : riemannZeta s = completedRiemannZeta s / Gammaℝ s := by rw [riemannZeta, hurwitzZetaEven, Function.update_noteq hs, completedHurwitzZetaEven_zero] theorem riemannZeta_neg_two_mul_nat_add_one (n : ℕ) : riemannZeta (-2 * (n + 1)) = 0 := hurwitzZetaEven_neg_two_mul_nat_add_one 0 n #align riemann_zeta_neg_two_mul_nat_add_one riemannZeta_neg_two_mul_nat_add_one theorem riemannZeta_one_sub {s : ℂ} (hs : ∀ n : ℕ, s ≠ -n) (hs' : s ≠ 1) : riemannZeta (1 - s) = 2 * (2 * π) ^ (-s) * Gamma s * cos (π * s / 2) * riemannZeta s := by rw [riemannZeta, hurwitzZetaEven_one_sub 0 hs (Or.inr hs'), cosZeta_zero, hurwitzZetaEven_zero] #align riemann_zeta_one_sub riemannZeta_one_sub def RiemannHypothesis : Prop := ∀ (s : ℂ) (_ : riemannZeta s = 0) (_ : ¬∃ n : ℕ, s = -2 * (n + 1)) (_ : s ≠ 1), s.re = 1 / 2 #align riemann_hypothesis RiemannHypothesis
Mathlib/NumberTheory/LSeries/RiemannZeta.lean
179
189
theorem completedZeta_eq_tsum_of_one_lt_re {s : ℂ} (hs : 1 < re s) : completedRiemannZeta s = (π : ℂ) ^ (-s / 2) * Gamma (s / 2) * ∑' n : ℕ, 1 / (n : ℂ) ^ s := by
have := (hasSum_nat_completedCosZeta 0 hs).tsum_eq.symm simp only [QuotientAddGroup.mk_zero, completedCosZeta_zero] at this simp only [this, Gammaℝ_def, mul_zero, zero_mul, Real.cos_zero, ofReal_one, mul_one, mul_one_div, ← tsum_mul_left] congr 1 with n split_ifs with h · simp only [h, Nat.cast_zero, zero_cpow (Complex.ne_zero_of_one_lt_re hs), div_zero] · rfl
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import Mathlib.Order.Bounds.Basic import Mathlib.Order.WellFounded import Mathlib.Data.Set.Image import Mathlib.Order.Interval.Set.Basic import Mathlib.Data.Set.Lattice #align_import order.conditionally_complete_lattice.basic from "leanprover-community/mathlib"@"29cb56a7b35f72758b05a30490e1f10bd62c35c1" open Function OrderDual Set variable {α β γ : Type*} {ι : Sort*} section variable [Preorder α] open scoped Classical noncomputable instance WithTop.instSupSet [SupSet α] : SupSet (WithTop α) := ⟨fun S => if ⊤ ∈ S then ⊤ else if BddAbove ((fun (a : α) ↦ ↑a) ⁻¹' S : Set α) then ↑(sSup ((fun (a : α) ↦ (a : WithTop α)) ⁻¹' S : Set α)) else ⊤⟩ noncomputable instance WithTop.instInfSet [InfSet α] : InfSet (WithTop α) := ⟨fun S => if S ⊆ {⊤} ∨ ¬BddBelow S then ⊤ else ↑(sInf ((fun (a : α) ↦ ↑a) ⁻¹' S : Set α))⟩ noncomputable instance WithBot.instSupSet [SupSet α] : SupSet (WithBot α) := ⟨(WithTop.instInfSet (α := αᵒᵈ)).sInf⟩ noncomputable instance WithBot.instInfSet [InfSet α] : InfSet (WithBot α) := ⟨(WithTop.instSupSet (α := αᵒᵈ)).sSup⟩ theorem WithTop.sSup_eq [SupSet α] {s : Set (WithTop α)} (hs : ⊤ ∉ s) (hs' : BddAbove ((↑) ⁻¹' s : Set α)) : sSup s = ↑(sSup ((↑) ⁻¹' s) : α) := (if_neg hs).trans <| if_pos hs' #align with_top.Sup_eq WithTop.sSup_eq theorem WithTop.sInf_eq [InfSet α] {s : Set (WithTop α)} (hs : ¬s ⊆ {⊤}) (h's : BddBelow s) : sInf s = ↑(sInf ((↑) ⁻¹' s) : α) := if_neg <| by simp [hs, h's] #align with_top.Inf_eq WithTop.sInf_eq theorem WithBot.sInf_eq [InfSet α] {s : Set (WithBot α)} (hs : ⊥ ∉ s) (hs' : BddBelow ((↑) ⁻¹' s : Set α)) : sInf s = ↑(sInf ((↑) ⁻¹' s) : α) := (if_neg hs).trans <| if_pos hs' #align with_bot.Inf_eq WithBot.sInf_eq theorem WithBot.sSup_eq [SupSet α] {s : Set (WithBot α)} (hs : ¬s ⊆ {⊥}) (h's : BddAbove s) : sSup s = ↑(sSup ((↑) ⁻¹' s) : α) := WithTop.sInf_eq (α := αᵒᵈ) hs h's #align with_bot.Sup_eq WithBot.sSup_eq @[simp] theorem WithTop.sInf_empty [InfSet α] : sInf (∅ : Set (WithTop α)) = ⊤ := if_pos <| by simp #align with_top.cInf_empty WithTop.sInf_empty @[simp] theorem WithTop.iInf_empty [IsEmpty ι] [InfSet α] (f : ι → WithTop α) : ⨅ i, f i = ⊤ := by rw [iInf, range_eq_empty, WithTop.sInf_empty] #align with_top.cinfi_empty WithTop.iInf_empty
Mathlib/Order/ConditionallyCompleteLattice/Basic.lean
95
104
theorem WithTop.coe_sInf' [InfSet α] {s : Set α} (hs : s.Nonempty) (h's : BddBelow s) : ↑(sInf s) = (sInf ((fun (a : α) ↦ ↑a) '' s) : WithTop α) := by
obtain ⟨x, hx⟩ := hs change _ = ite _ _ _ split_ifs with h · rcases h with h1 | h2 · cases h1 (mem_image_of_mem _ hx) · exact (h2 (Monotone.map_bddBelow coe_mono h's)).elim · rw [preimage_image_eq] exact Option.some_injective _
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import Mathlib.Algebra.Polynomial.Eval import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.asymptotics.superpolynomial_decay from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" namespace Asymptotics open Topology Polynomial open Filter def SuperpolynomialDecay {α β : Type*} [TopologicalSpace β] [CommSemiring β] (l : Filter α) (k : α → β) (f : α → β) := ∀ n : ℕ, Tendsto (fun a : α => k a ^ n * f a) l (𝓝 0) #align asymptotics.superpolynomial_decay Asymptotics.SuperpolynomialDecay variable {α β : Type*} {l : Filter α} {k : α → β} {f g g' : α → β} section LinearOrderedCommRing variable [TopologicalSpace β] [LinearOrderedCommRing β] [OrderTopology β] variable (l k f) theorem superpolynomialDecay_iff_abs_tendsto_zero : SuperpolynomialDecay l k f ↔ ∀ n : ℕ, Tendsto (fun a : α => |k a ^ n * f a|) l (𝓝 0) := ⟨fun h z => (tendsto_zero_iff_abs_tendsto_zero _).1 (h z), fun h z => (tendsto_zero_iff_abs_tendsto_zero _).2 (h z)⟩ #align asymptotics.superpolynomial_decay_iff_abs_tendsto_zero Asymptotics.superpolynomialDecay_iff_abs_tendsto_zero theorem superpolynomialDecay_iff_superpolynomialDecay_abs : SuperpolynomialDecay l k f ↔ SuperpolynomialDecay l (fun a => |k a|) fun a => |f a| := (superpolynomialDecay_iff_abs_tendsto_zero l k f).trans (by simp_rw [SuperpolynomialDecay, abs_mul, abs_pow]) #align asymptotics.superpolynomial_decay_iff_superpolynomial_decay_abs Asymptotics.superpolynomialDecay_iff_superpolynomialDecay_abs variable {l k f}
Mathlib/Analysis/Asymptotics/SuperpolynomialDecay.lean
176
185
theorem SuperpolynomialDecay.trans_eventually_abs_le (hf : SuperpolynomialDecay l k f) (hfg : abs ∘ g ≤ᶠ[l] abs ∘ f) : SuperpolynomialDecay l k g := by
rw [superpolynomialDecay_iff_abs_tendsto_zero] at hf ⊢ refine fun z => tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds (hf z) (eventually_of_forall fun x => abs_nonneg _) (hfg.mono fun x hx => ?_) calc |k x ^ z * g x| = |k x ^ z| * |g x| := abs_mul (k x ^ z) (g x) _ ≤ |k x ^ z| * |f x| := by gcongr _ * ?_; exact hx _ = |k x ^ z * f x| := (abs_mul (k x ^ z) (f x)).symm
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import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Coxeter.Basic namespace CoxeterSystem open List Matrix Function Classical variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by rcases cs.wordProd_surjective w with ⟨ω, rfl⟩ use ω.length, ω noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w) local prefix:100 "ℓ" => cs.length theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by have := Nat.find_spec (cs.exists_word_with_prod w) tauto theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length := Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩ @[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le []) @[simp] theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h) rw [this, wordProd_nil] · rintro rfl exact cs.length_one @[simp] theorem length_inv (w : W) : ℓ (w⁻¹) = ℓ w := by apply Nat.le_antisymm · rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, hω] at this · rcases cs.exists_reduced_word w⁻¹ with ⟨ω, hω, h'ω⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, ← h'ω, hω, inv_inv] at this theorem length_mul_le (w₁ w₂ : W) : ℓ (w₁ * w₂) ≤ ℓ w₁ + ℓ w₂ := by rcases cs.exists_reduced_word w₁ with ⟨ω₁, hω₁, rfl⟩ rcases cs.exists_reduced_word w₂ with ⟨ω₂, hω₂, rfl⟩ have := cs.length_wordProd_le (ω₁ ++ ω₂) simpa [hω₁, hω₂, wordProd_append] using this theorem length_mul_ge_length_sub_length (w₁ w₂ : W) : ℓ w₁ - ℓ w₂ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add] using cs.length_mul_le (w₁ * w₂) w₂⁻¹ theorem length_mul_ge_length_sub_length' (w₁ w₂ : W) : ℓ w₂ - ℓ w₁ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add, add_comm] using cs.length_mul_le w₁⁻¹ (w₁ * w₂) theorem length_mul_ge_max (w₁ w₂ : W) : max (ℓ w₁ - ℓ w₂) (ℓ w₂ - ℓ w₁) ≤ ℓ (w₁ * w₂) := max_le_iff.mpr ⟨length_mul_ge_length_sub_length _ _ _, length_mul_ge_length_sub_length' _ _ _⟩ def lengthParity : W →* Multiplicative (ZMod 2) := cs.lift ⟨fun _ ↦ Multiplicative.ofAdd 1, by simp_rw [CoxeterMatrix.IsLiftable, ← ofAdd_add, (by decide : (1 + 1 : ZMod 2) = 0)] simp⟩ theorem lengthParity_simple (i : B): cs.lengthParity (s i) = Multiplicative.ofAdd 1 := cs.lift_apply_simple _ _ theorem lengthParity_comp_simple : cs.lengthParity ∘ cs.simple = fun _ ↦ Multiplicative.ofAdd 1 := funext cs.lengthParity_simple theorem lengthParity_eq_ofAdd_length (w : W) : cs.lengthParity w = Multiplicative.ofAdd (↑(ℓ w)) := by rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rw [← hω, wordProd, map_list_prod, List.map_map, lengthParity_comp_simple, map_const', prod_replicate, ← ofAdd_nsmul, nsmul_one] theorem length_mul_mod_two (w₁ w₂ : W) : ℓ (w₁ * w₂) % 2 = (ℓ w₁ + ℓ w₂) % 2 := by rw [← ZMod.natCast_eq_natCast_iff', Nat.cast_add] simpa only [lengthParity_eq_ofAdd_length, ofAdd_add] using map_mul cs.lengthParity w₁ w₂ @[simp] theorem length_simple (i : B) : ℓ (s i) = 1 := by apply Nat.le_antisymm · simpa using cs.length_wordProd_le [i] · by_contra! length_lt_one have : cs.lengthParity (s i) = Multiplicative.ofAdd 0 := by rw [lengthParity_eq_ofAdd_length, Nat.lt_one_iff.mp length_lt_one, Nat.cast_zero] have : Multiplicative.ofAdd (0 : ZMod 2) = Multiplicative.ofAdd 1 := this.symm.trans (cs.lengthParity_simple i) contradiction theorem length_eq_one_iff {w : W} : ℓ w = 1 ↔ ∃ i : B, w = s i := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rcases List.length_eq_one.mp (hω.trans h) with ⟨i, rfl⟩ exact ⟨i, cs.wordProd_singleton i⟩ · rintro ⟨i, rfl⟩ exact cs.length_simple i
Mathlib/GroupTheory/Coxeter/Length.lean
161
169
theorem length_mul_simple_ne (w : W) (i : B) : ℓ (w * s i) ≠ ℓ w := by
intro eq have length_mod_two := cs.length_mul_mod_two w (s i) rw [eq, length_simple] at length_mod_two rcases Nat.mod_two_eq_zero_or_one (ℓ w) with even | odd · rw [even, Nat.succ_mod_two_eq_one_iff.mpr even] at length_mod_two contradiction · rw [odd, Nat.succ_mod_two_eq_zero_iff.mpr odd] at length_mod_two contradiction
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import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms import Mathlib.CategoryTheory.Limits.Shapes.Kernels import Mathlib.CategoryTheory.Abelian.Basic import Mathlib.CategoryTheory.Subobject.Lattice import Mathlib.Order.Atoms #align_import category_theory.simple from "leanprover-community/mathlib"@"4ed0bcaef698011b0692b93a042a2282f490f6b6" noncomputable section open CategoryTheory.Limits namespace CategoryTheory universe v u variable {C : Type u} [Category.{v} C] section variable [HasZeroMorphisms C] class Simple (X : C) : Prop where mono_isIso_iff_nonzero : ∀ {Y : C} (f : Y ⟶ X) [Mono f], IsIso f ↔ f ≠ 0 #align category_theory.simple CategoryTheory.Simple theorem isIso_of_mono_of_nonzero {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : f ≠ 0) : IsIso f := (Simple.mono_isIso_iff_nonzero f).mpr w #align category_theory.is_iso_of_mono_of_nonzero CategoryTheory.isIso_of_mono_of_nonzero theorem Simple.of_iso {X Y : C} [Simple Y] (i : X ≅ Y) : Simple X := { mono_isIso_iff_nonzero := fun f m => by haveI : Mono (f ≫ i.hom) := mono_comp _ _ constructor · intro h w have j : IsIso (f ≫ i.hom) := by infer_instance rw [Simple.mono_isIso_iff_nonzero] at j subst w simp at j · intro h have j : IsIso (f ≫ i.hom) := by apply isIso_of_mono_of_nonzero intro w apply h simpa using (cancel_mono i.inv).2 w rw [← Category.comp_id f, ← i.hom_inv_id, ← Category.assoc] infer_instance } #align category_theory.simple.of_iso CategoryTheory.Simple.of_iso theorem Simple.iff_of_iso {X Y : C} (i : X ≅ Y) : Simple X ↔ Simple Y := ⟨fun _ => Simple.of_iso i.symm, fun _ => Simple.of_iso i⟩ #align category_theory.simple.iff_of_iso CategoryTheory.Simple.iff_of_iso theorem kernel_zero_of_nonzero_from_simple {X Y : C} [Simple X] {f : X ⟶ Y} [HasKernel f] (w : f ≠ 0) : kernel.ι f = 0 := by classical by_contra h haveI := isIso_of_mono_of_nonzero h exact w (eq_zero_of_epi_kernel f) #align category_theory.kernel_zero_of_nonzero_from_simple CategoryTheory.kernel_zero_of_nonzero_from_simple -- See also `mono_of_nonzero_from_simple`, which requires `Preadditive C`. theorem epi_of_nonzero_to_simple [HasEqualizers C] {X Y : C} [Simple Y] {f : X ⟶ Y} [HasImage f] (w : f ≠ 0) : Epi f := by rw [← image.fac f] haveI : IsIso (image.ι f) := isIso_of_mono_of_nonzero fun h => w (eq_zero_of_image_eq_zero h) apply epi_comp #align category_theory.epi_of_nonzero_to_simple CategoryTheory.epi_of_nonzero_to_simple theorem mono_to_simple_zero_of_not_iso {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : IsIso f → False) : f = 0 := by classical by_contra h exact w (isIso_of_mono_of_nonzero h) #align category_theory.mono_to_simple_zero_of_not_iso CategoryTheory.mono_to_simple_zero_of_not_iso theorem id_nonzero (X : C) [Simple.{v} X] : 𝟙 X ≠ 0 := (Simple.mono_isIso_iff_nonzero (𝟙 X)).mp (by infer_instance) #align category_theory.id_nonzero CategoryTheory.id_nonzero instance (X : C) [Simple.{v} X] : Nontrivial (End X) := nontrivial_of_ne 1 _ (id_nonzero X) section theorem Simple.not_isZero (X : C) [Simple X] : ¬IsZero X := by simpa [Limits.IsZero.iff_id_eq_zero] using id_nonzero X #align category_theory.simple.not_is_zero CategoryTheory.Simple.not_isZero variable [HasZeroObject C] open ZeroObject variable (C) theorem zero_not_simple [Simple (0 : C)] : False := (Simple.mono_isIso_iff_nonzero (0 : (0 : C) ⟶ (0 : C))).mp ⟨⟨0, by aesop_cat⟩⟩ rfl #align category_theory.zero_not_simple CategoryTheory.zero_not_simple end end -- We next make the dual arguments, but for this we must be in an abelian category. section Indecomposable variable [Preadditive C] [HasBinaryBiproducts C] -- There are another three potential variations of this lemma, -- but as any one suffices to prove `indecomposable_of_simple` we will not give them all.
Mathlib/CategoryTheory/Simple.lean
193
201
theorem Biprod.isIso_inl_iff_isZero (X Y : C) : IsIso (biprod.inl : X ⟶ X ⊞ Y) ↔ IsZero Y := by
rw [biprod.isIso_inl_iff_id_eq_fst_comp_inl, ← biprod.total, add_right_eq_self] constructor · intro h replace h := h =≫ biprod.snd simpa [← IsZero.iff_isSplitEpi_eq_zero (biprod.snd : X ⊞ Y ⟶ Y)] using h · intro h rw [IsZero.iff_isSplitEpi_eq_zero (biprod.snd : X ⊞ Y ⟶ Y)] at h rw [h, zero_comp]
8
import Mathlib.RingTheory.FiniteType import Mathlib.RingTheory.Localization.AtPrime import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Localization.Integer import Mathlib.RingTheory.Localization.Submodule import Mathlib.RingTheory.Nilpotent.Lemmas import Mathlib.RingTheory.RingHomProperties import Mathlib.Data.Set.Subsingleton #align_import ring_theory.local_properties from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" open scoped Pointwise Classical universe u variable {R S : Type u} [CommRing R] [CommRing S] (M : Submonoid R) variable (N : Submonoid S) (R' S' : Type u) [CommRing R'] [CommRing S'] (f : R →+* S) variable [Algebra R R'] [Algebra S S'] section Properties section Ideal open scoped nonZeroDivisors theorem Ideal.le_of_localization_maximal {I J : Ideal R} (h : ∀ (P : Ideal R) (hP : P.IsMaximal), Ideal.map (algebraMap R (Localization.AtPrime P)) I ≤ Ideal.map (algebraMap R (Localization.AtPrime P)) J) : I ≤ J := by intro x hx suffices J.colon (Ideal.span {x}) = ⊤ by simpa using Submodule.mem_colon.mp (show (1 : R) ∈ J.colon (Ideal.span {x}) from this.symm ▸ Submodule.mem_top) x (Ideal.mem_span_singleton_self x) refine Not.imp_symm (J.colon (Ideal.span {x})).exists_le_maximal ?_ push_neg intro P hP le obtain ⟨⟨⟨a, ha⟩, ⟨s, hs⟩⟩, eq⟩ := (IsLocalization.mem_map_algebraMap_iff P.primeCompl _).mp (h P hP (Ideal.mem_map_of_mem _ hx)) rw [← _root_.map_mul, ← sub_eq_zero, ← map_sub] at eq obtain ⟨⟨m, hm⟩, eq⟩ := (IsLocalization.map_eq_zero_iff P.primeCompl _ _).mp eq refine hs ((hP.isPrime.mem_or_mem (le (Ideal.mem_colon_singleton.mpr ?_))).resolve_right hm) simp only [Subtype.coe_mk, mul_sub, sub_eq_zero, mul_comm x s, mul_left_comm] at eq simpa only [mul_assoc, eq] using J.mul_mem_left m ha #align ideal.le_of_localization_maximal Ideal.le_of_localization_maximal theorem Ideal.eq_of_localization_maximal {I J : Ideal R} (h : ∀ (P : Ideal R) (_ : P.IsMaximal), Ideal.map (algebraMap R (Localization.AtPrime P)) I = Ideal.map (algebraMap R (Localization.AtPrime P)) J) : I = J := le_antisymm (Ideal.le_of_localization_maximal fun P hP => (h P hP).le) (Ideal.le_of_localization_maximal fun P hP => (h P hP).ge) #align ideal.eq_of_localization_maximal Ideal.eq_of_localization_maximal theorem ideal_eq_bot_of_localization' (I : Ideal R) (h : ∀ (J : Ideal R) (hJ : J.IsMaximal), Ideal.map (algebraMap R (Localization.AtPrime J)) I = ⊥) : I = ⊥ := Ideal.eq_of_localization_maximal fun P hP => by simpa using h P hP #align ideal_eq_bot_of_localization' ideal_eq_bot_of_localization' -- TODO: This proof should work for all modules, once we have enough material on submodules of -- localized modules. theorem ideal_eq_bot_of_localization (I : Ideal R) (h : ∀ (J : Ideal R) (hJ : J.IsMaximal), IsLocalization.coeSubmodule (Localization.AtPrime J) I = ⊥) : I = ⊥ := ideal_eq_bot_of_localization' _ fun P hP => (Ideal.map_eq_bot_iff_le_ker _).mpr fun x hx => by rw [RingHom.mem_ker, ← Submodule.mem_bot R, ← h P hP, IsLocalization.mem_coeSubmodule] exact ⟨x, hx, rfl⟩ #align ideal_eq_bot_of_localization ideal_eq_bot_of_localization
Mathlib/RingTheory/LocalProperties.lean
290
300
theorem eq_zero_of_localization (r : R) (h : ∀ (J : Ideal R) (hJ : J.IsMaximal), algebraMap R (Localization.AtPrime J) r = 0) : r = 0 := by
rw [← Ideal.span_singleton_eq_bot] apply ideal_eq_bot_of_localization intro J hJ delta IsLocalization.coeSubmodule erw [Submodule.map_span, Submodule.span_eq_bot] rintro _ ⟨_, h', rfl⟩ cases Set.mem_singleton_iff.mpr h' exact h J hJ
8
import Mathlib.NumberTheory.ZetaValues import Mathlib.NumberTheory.LSeries.RiemannZeta open Complex Real Set open scoped Nat namespace HurwitzZeta variable {k : ℕ} {x : ℝ} theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt] omega theorem sinZeta_two_mul_nat_add_one (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k + 1) / 2 / (2 * k + 1)! * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_sinZeta x (?_ : 1 < re (2 * k + 1))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_sin hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc] congr 1 rw [← Nat.cast_ofNat, ← Nat.cast_mul, ← Nat.cast_add_one, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, ← Nat.cast_add_one, natCast_re, Nat.cast_lt, lt_add_iff_pos_left] exact mul_pos two_pos (Nat.pos_of_ne_zero hk)
Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean
100
110
theorem cosZeta_two_mul_nat' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) / (2 * k) / Gammaℂ (2 * k) * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
rw [cosZeta_two_mul_nat hk hx] congr 1 have : (2 * k)! = (2 * k) * Complex.Gamma (2 * k) := by rw [(by { norm_cast; omega } : 2 * (k : ℂ) = ↑(2 * k - 1) + 1), Complex.Gamma_nat_eq_factorial, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ, Nat.sub_add_cancel (by omega)] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div, mul_right_comm (2 : ℂ) (k : ℂ)] norm_cast
8
import Mathlib.Analysis.Analytic.Basic import Mathlib.Analysis.Analytic.CPolynomial import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.ContDiff.Defs import Mathlib.Analysis.Calculus.FDeriv.Add #align_import analysis.calculus.fderiv_analytic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open Filter Asymptotics open scoped ENNReal universe u v variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type u} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] namespace FormalMultilinearSeries variable (p : FormalMultilinearSeries 𝕜 E F) open Fintype ContinuousLinearMap in
Mathlib/Analysis/Calculus/FDeriv/Analytic.lean
449
458
theorem derivSeries_apply_diag (n : ℕ) (x : E) : derivSeries p n (fun _ ↦ x) x = (n + 1) • p (n + 1) fun _ ↦ x := by
simp only [derivSeries, compFormalMultilinearSeries_apply, changeOriginSeries, compContinuousMultilinearMap_coe, ContinuousLinearEquiv.coe_coe, LinearIsometryEquiv.coe_coe, Function.comp_apply, ContinuousMultilinearMap.sum_apply, map_sum, coe_sum', Finset.sum_apply, continuousMultilinearCurryFin1_apply, Matrix.zero_empty] convert Finset.sum_const _ · rw [Fin.snoc_zero, changeOriginSeriesTerm_apply, Finset.piecewise_same, add_comm] · rw [← card, card_subtype, ← Finset.powerset_univ, ← Finset.powersetCard_eq_filter, Finset.card_powersetCard, ← card, card_fin, eq_comm, add_comm, Nat.choose_succ_self_right]
8
import Mathlib.AlgebraicGeometry.AffineScheme import Mathlib.RingTheory.Nilpotent.Lemmas import Mathlib.Topology.Sheaves.SheafCondition.Sites import Mathlib.Algebra.Category.Ring.Constructions import Mathlib.RingTheory.LocalProperties #align_import algebraic_geometry.properties from "leanprover-community/mathlib"@"88474d1b5af6d37c2ab728b757771bced7f5194c" -- Explicit universe annotations were used in this file to improve perfomance #12737 universe u open TopologicalSpace Opposite CategoryTheory CategoryTheory.Limits TopCat namespace AlgebraicGeometry variable (X : Scheme) instance : T0Space X.carrier := by refine T0Space.of_open_cover fun x => ?_ obtain ⟨U, R, ⟨e⟩⟩ := X.local_affine x let e' : U.1 ≃ₜ PrimeSpectrum R := homeoOfIso ((LocallyRingedSpace.forgetToSheafedSpace ⋙ SheafedSpace.forget _).mapIso e) exact ⟨U.1.1, U.2, U.1.2, e'.embedding.t0Space⟩ instance : QuasiSober X.carrier := by apply (config := { allowSynthFailures := true }) quasiSober_of_open_cover (Set.range fun x => Set.range <| (X.affineCover.map x).1.base) · rintro ⟨_, i, rfl⟩; exact (X.affineCover.IsOpen i).base_open.isOpen_range · rintro ⟨_, i, rfl⟩ exact @OpenEmbedding.quasiSober _ _ _ _ _ (Homeomorph.ofEmbedding _ (X.affineCover.IsOpen i).base_open.toEmbedding).symm.openEmbedding PrimeSpectrum.quasiSober · rw [Set.top_eq_univ, Set.sUnion_range, Set.eq_univ_iff_forall] intro x; exact ⟨_, ⟨_, rfl⟩, X.affineCover.Covers x⟩ class IsReduced : Prop where component_reduced : ∀ U, IsReduced (X.presheaf.obj (op U)) := by infer_instance #align algebraic_geometry.is_reduced AlgebraicGeometry.IsReduced attribute [instance] IsReduced.component_reduced theorem isReducedOfStalkIsReduced [∀ x : X.carrier, _root_.IsReduced (X.presheaf.stalk x)] : IsReduced X := by refine ⟨fun U => ⟨fun s hs => ?_⟩⟩ apply Presheaf.section_ext X.sheaf U s 0 intro x rw [RingHom.map_zero] change X.presheaf.germ x s = 0 exact (hs.map _).eq_zero #align algebraic_geometry.is_reduced_of_stalk_is_reduced AlgebraicGeometry.isReducedOfStalkIsReduced instance stalk_isReduced_of_reduced [IsReduced X] (x : X.carrier) : _root_.IsReduced (X.presheaf.stalk x) := by constructor rintro g ⟨n, e⟩ obtain ⟨U, hxU, s, rfl⟩ := X.presheaf.germ_exist x g rw [← map_pow, ← map_zero (X.presheaf.germ ⟨x, hxU⟩)] at e obtain ⟨V, hxV, iU, iV, e'⟩ := X.presheaf.germ_eq x hxU hxU _ 0 e rw [map_pow, map_zero] at e' replace e' := (IsNilpotent.mk _ _ e').eq_zero (R := X.presheaf.obj <| op V) erw [← ConcreteCategory.congr_hom (X.presheaf.germ_res iU ⟨x, hxV⟩) s] rw [comp_apply, e', map_zero] #align algebraic_geometry.stalk_is_reduced_of_reduced AlgebraicGeometry.stalk_isReduced_of_reduced
Mathlib/AlgebraicGeometry/Properties.lean
84
93
theorem isReducedOfOpenImmersion {X Y : Scheme} (f : X ⟶ Y) [H : IsOpenImmersion f] [IsReduced Y] : IsReduced X := by
constructor intro U have : U = (Opens.map f.1.base).obj (H.base_open.isOpenMap.functor.obj U) := by ext1; exact (Set.preimage_image_eq _ H.base_open.inj).symm rw [this] exact isReduced_of_injective (inv <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U)) (asIso <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U) : Y.presheaf.obj _ ≅ _).symm.commRingCatIsoToRingEquiv.injective
8
import Mathlib.Data.List.Count import Mathlib.Data.List.Dedup import Mathlib.Data.List.InsertNth import Mathlib.Data.List.Lattice import Mathlib.Data.List.Permutation import Mathlib.Data.Nat.Factorial.Basic #align_import data.list.perm from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83" -- Make sure we don't import algebra assert_not_exists Monoid open Nat namespace List variable {α β : Type*} {l l₁ l₂ : List α} {a : α} #align list.perm List.Perm instance : Trans (@List.Perm α) (@List.Perm α) List.Perm where trans := @List.Perm.trans α open Perm (swap) attribute [refl] Perm.refl #align list.perm.refl List.Perm.refl lemma perm_rfl : l ~ l := Perm.refl _ -- Porting note: used rec_on in mathlib3; lean4 eqn compiler still doesn't like it attribute [symm] Perm.symm #align list.perm.symm List.Perm.symm #align list.perm_comm List.perm_comm #align list.perm.swap' List.Perm.swap' attribute [trans] Perm.trans #align list.perm.eqv List.Perm.eqv #align list.is_setoid List.isSetoid #align list.perm.mem_iff List.Perm.mem_iff #align list.perm.subset List.Perm.subset theorem Perm.subset_congr_left {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₁ ⊆ l₃ ↔ l₂ ⊆ l₃ := ⟨h.symm.subset.trans, h.subset.trans⟩ #align list.perm.subset_congr_left List.Perm.subset_congr_left theorem Perm.subset_congr_right {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₃ ⊆ l₁ ↔ l₃ ⊆ l₂ := ⟨fun h' => h'.trans h.subset, fun h' => h'.trans h.symm.subset⟩ #align list.perm.subset_congr_right List.Perm.subset_congr_right #align list.perm.append_right List.Perm.append_right #align list.perm.append_left List.Perm.append_left #align list.perm.append List.Perm.append #align list.perm.append_cons List.Perm.append_cons #align list.perm_middle List.perm_middle #align list.perm_append_singleton List.perm_append_singleton #align list.perm_append_comm List.perm_append_comm #align list.concat_perm List.concat_perm #align list.perm.length_eq List.Perm.length_eq #align list.perm.eq_nil List.Perm.eq_nil #align list.perm.nil_eq List.Perm.nil_eq #align list.perm_nil List.perm_nil #align list.nil_perm List.nil_perm #align list.not_perm_nil_cons List.not_perm_nil_cons #align list.reverse_perm List.reverse_perm #align list.perm_cons_append_cons List.perm_cons_append_cons #align list.perm_replicate List.perm_replicate #align list.replicate_perm List.replicate_perm #align list.perm_singleton List.perm_singleton #align list.singleton_perm List.singleton_perm #align list.singleton_perm_singleton List.singleton_perm_singleton #align list.perm_cons_erase List.perm_cons_erase #align list.perm_induction_on List.Perm.recOnSwap' -- Porting note: used to be @[congr] #align list.perm.filter_map List.Perm.filterMap -- Porting note: used to be @[congr] #align list.perm.map List.Perm.map #align list.perm.pmap List.Perm.pmap #align list.perm.filter List.Perm.filter #align list.filter_append_perm List.filter_append_perm #align list.exists_perm_sublist List.exists_perm_sublist #align list.perm.sizeof_eq_sizeof List.Perm.sizeOf_eq_sizeOf section Rel open Relator variable {γ : Type*} {δ : Type*} {r : α → β → Prop} {p : γ → δ → Prop} local infixr:80 " ∘r " => Relation.Comp theorem perm_comp_perm : (Perm ∘r Perm : List α → List α → Prop) = Perm := by funext a c; apply propext constructor · exact fun ⟨b, hab, hba⟩ => Perm.trans hab hba · exact fun h => ⟨a, Perm.refl a, h⟩ #align list.perm_comp_perm List.perm_comp_perm theorem perm_comp_forall₂ {l u v} (hlu : Perm l u) (huv : Forall₂ r u v) : (Forall₂ r ∘r Perm) l v := by induction hlu generalizing v with | nil => cases huv; exact ⟨[], Forall₂.nil, Perm.nil⟩ | cons u _hlu ih => cases' huv with _ b _ v hab huv' rcases ih huv' with ⟨l₂, h₁₂, h₂₃⟩ exact ⟨b :: l₂, Forall₂.cons hab h₁₂, h₂₃.cons _⟩ | swap a₁ a₂ h₂₃ => cases' huv with _ b₁ _ l₂ h₁ hr₂₃ cases' hr₂₃ with _ b₂ _ l₂ h₂ h₁₂ exact ⟨b₂ :: b₁ :: l₂, Forall₂.cons h₂ (Forall₂.cons h₁ h₁₂), Perm.swap _ _ _⟩ | trans _ _ ih₁ ih₂ => rcases ih₂ huv with ⟨lb₂, hab₂, h₂₃⟩ rcases ih₁ hab₂ with ⟨lb₁, hab₁, h₁₂⟩ exact ⟨lb₁, hab₁, Perm.trans h₁₂ h₂₃⟩ #align list.perm_comp_forall₂ List.perm_comp_forall₂
Mathlib/Data/List/Perm.lean
167
175
theorem forall₂_comp_perm_eq_perm_comp_forall₂ : Forall₂ r ∘r Perm = Perm ∘r Forall₂ r := by
funext l₁ l₃; apply propext constructor · intro h rcases h with ⟨l₂, h₁₂, h₂₃⟩ have : Forall₂ (flip r) l₂ l₁ := h₁₂.flip rcases perm_comp_forall₂ h₂₃.symm this with ⟨l', h₁, h₂⟩ exact ⟨l', h₂.symm, h₁.flip⟩ · exact fun ⟨l₂, h₁₂, h₂₃⟩ => perm_comp_forall₂ h₁₂ h₂₃
8
import Mathlib.Geometry.Manifold.MFDeriv.SpecificFunctions noncomputable section open scoped Manifold open Bundle Set Topology variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M''] namespace PartialHomeomorph.MDifferentiable variable {I I' I''} variable {e : PartialHomeomorph M M'} (he : e.MDifferentiable I I') {e' : PartialHomeomorph M' M''} nonrec theorem symm : e.symm.MDifferentiable I' I := he.symm #align local_homeomorph.mdifferentiable.symm PartialHomeomorph.MDifferentiable.symm protected theorem mdifferentiableAt {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I' e x := (he.1 x hx).mdifferentiableAt (e.open_source.mem_nhds hx) #align local_homeomorph.mdifferentiable.mdifferentiable_at PartialHomeomorph.MDifferentiable.mdifferentiableAt theorem mdifferentiableAt_symm {x : M'} (hx : x ∈ e.target) : MDifferentiableAt I' I e.symm x := (he.2 x hx).mdifferentiableAt (e.open_target.mem_nhds hx) #align local_homeomorph.mdifferentiable.mdifferentiable_at_symm PartialHomeomorph.MDifferentiable.mdifferentiableAt_symm variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M'] [SmoothManifoldWithCorners I'' M'']
Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean
200
210
theorem symm_comp_deriv {x : M} (hx : x ∈ e.source) : (mfderiv I' I e.symm (e x)).comp (mfderiv I I' e x) = ContinuousLinearMap.id 𝕜 (TangentSpace I x) := by
have : mfderiv I I (e.symm ∘ e) x = (mfderiv I' I e.symm (e x)).comp (mfderiv I I' e x) := mfderiv_comp x (he.mdifferentiableAt_symm (e.map_source hx)) (he.mdifferentiableAt hx) rw [← this] have : mfderiv I I (_root_.id : M → M) x = ContinuousLinearMap.id _ _ := mfderiv_id I rw [← this] apply Filter.EventuallyEq.mfderiv_eq have : e.source ∈ 𝓝 x := e.open_source.mem_nhds hx exact Filter.mem_of_superset this (by mfld_set_tac)
8
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Analysis.Calculus.ParametricIntegral import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Function.LocallyIntegrable import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Group.Prod import Mathlib.MeasureTheory.Integral.IntervalIntegral #align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95" open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ContinuousLinearMap Metric Bornology open scoped Pointwise Topology NNReal Filter universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF} {F' : Type uF'} {F'' : Type uF''} {P : Type uP} variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E''] [NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E} namespace MeasureTheory section NontriviallyNormedField variable [NontriviallyNormedField 𝕜] variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F] variable (L : E →L[𝕜] E' →L[𝕜] F) section NoMeasurability variable [AddGroup G] [TopologicalSpace G]
Mathlib/Analysis/Convolution.lean
118
128
theorem convolution_integrand_bound_right_of_le_of_subset {C : ℝ} (hC : ∀ i, ‖g i‖ ≤ C) {x t : G} {s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) : ‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * C) t := by
-- Porting note: had to add `f := _` refine le_indicator (f := fun t ↦ ‖L (f t) (g (x - t))‖) (fun t _ => ?_) (fun t ht => ?_) t · apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl] · have : x - t ∉ support g := by refine mt (fun hxt => hu ?_) ht refine ⟨_, Set.neg_mem_neg.mpr (subset_closure hxt), _, hx, ?_⟩ simp only [neg_sub, sub_add_cancel] simp only [nmem_support.mp this, (L _).map_zero, norm_zero, le_rfl]
8
import Mathlib.Order.SuccPred.Basic #align_import order.succ_pred.relation from "leanprover-community/mathlib"@"9aba7801eeecebb61f58a5763c2b6dd1b47dc6ef" open Function Order Relation Set section PartialSucc variable {α : Type*} [PartialOrder α] [SuccOrder α] [IsSuccArchimedean α]
Mathlib/Order/SuccPred/Relation.lean
26
35
theorem reflTransGen_of_succ_of_le (r : α → α → Prop) {n m : α} (h : ∀ i ∈ Ico n m, r i (succ i)) (hnm : n ≤ m) : ReflTransGen r n m := by
revert h; refine Succ.rec ?_ ?_ hnm · intro _ exact ReflTransGen.refl · intro m hnm ih h have : ReflTransGen r n m := ih fun i hi => h i ⟨hi.1, hi.2.trans_le <| le_succ m⟩ rcases (le_succ m).eq_or_lt with hm | hm · rwa [← hm] exact this.tail (h m ⟨hnm, hm⟩)
8
import Mathlib.Data.Nat.Defs import Mathlib.Tactic.GCongr.Core import Mathlib.Tactic.Common import Mathlib.Tactic.Monotonicity.Attr #align_import data.nat.factorial.basic from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105" namespace Nat def factorial : ℕ → ℕ | 0 => 1 | succ n => succ n * factorial n #align nat.factorial Nat.factorial scoped notation:10000 n "!" => Nat.factorial n section Factorial variable {m n : ℕ} @[simp] theorem factorial_zero : 0! = 1 := rfl #align nat.factorial_zero Nat.factorial_zero theorem factorial_succ (n : ℕ) : (n + 1)! = (n + 1) * n ! := rfl #align nat.factorial_succ Nat.factorial_succ @[simp] theorem factorial_one : 1! = 1 := rfl #align nat.factorial_one Nat.factorial_one @[simp] theorem factorial_two : 2! = 2 := rfl #align nat.factorial_two Nat.factorial_two theorem mul_factorial_pred (hn : 0 < n) : n * (n - 1)! = n ! := Nat.sub_add_cancel (Nat.succ_le_of_lt hn) ▸ rfl #align nat.mul_factorial_pred Nat.mul_factorial_pred theorem factorial_pos : ∀ n, 0 < n ! | 0 => Nat.zero_lt_one | succ n => Nat.mul_pos (succ_pos _) (factorial_pos n) #align nat.factorial_pos Nat.factorial_pos theorem factorial_ne_zero (n : ℕ) : n ! ≠ 0 := ne_of_gt (factorial_pos _) #align nat.factorial_ne_zero Nat.factorial_ne_zero theorem factorial_dvd_factorial {m n} (h : m ≤ n) : m ! ∣ n ! := by induction' h with n _ ih · exact Nat.dvd_refl _ · exact Nat.dvd_trans ih (Nat.dvd_mul_left _ _) #align nat.factorial_dvd_factorial Nat.factorial_dvd_factorial theorem dvd_factorial : ∀ {m n}, 0 < m → m ≤ n → m ∣ n ! | succ _, _, _, h => Nat.dvd_trans (Nat.dvd_mul_right _ _) (factorial_dvd_factorial h) #align nat.dvd_factorial Nat.dvd_factorial @[mono, gcongr] theorem factorial_le {m n} (h : m ≤ n) : m ! ≤ n ! := le_of_dvd (factorial_pos _) (factorial_dvd_factorial h) #align nat.factorial_le Nat.factorial_le theorem factorial_mul_pow_le_factorial : ∀ {m n : ℕ}, m ! * (m + 1) ^ n ≤ (m + n)! | m, 0 => by simp | m, n + 1 => by rw [← Nat.add_assoc, factorial_succ, Nat.mul_comm (_ + 1), Nat.pow_succ, ← Nat.mul_assoc] exact Nat.mul_le_mul factorial_mul_pow_le_factorial (succ_le_succ (le_add_right _ _)) #align nat.factorial_mul_pow_le_factorial Nat.factorial_mul_pow_le_factorial theorem factorial_lt (hn : 0 < n) : n ! < m ! ↔ n < m := by refine ⟨fun h => not_le.mp fun hmn => Nat.not_le_of_lt h (factorial_le hmn), fun h => ?_⟩ have : ∀ {n}, 0 < n → n ! < (n + 1)! := by intro k hk rw [factorial_succ, succ_mul, Nat.lt_add_left_iff_pos] exact Nat.mul_pos hk k.factorial_pos induction' h with k hnk ih generalizing hn · exact this hn · exact lt_trans (ih hn) $ this <| lt_trans hn <| lt_of_succ_le hnk #align nat.factorial_lt Nat.factorial_lt @[gcongr] lemma factorial_lt_of_lt {m n : ℕ} (hn : 0 < n) (h : n < m) : n ! < m ! := (factorial_lt hn).mpr h @[simp] lemma one_lt_factorial : 1 < n ! ↔ 1 < n := factorial_lt Nat.one_pos #align nat.one_lt_factorial Nat.one_lt_factorial @[simp] theorem factorial_eq_one : n ! = 1 ↔ n ≤ 1 := by constructor · intro h rw [← not_lt, ← one_lt_factorial, h] apply lt_irrefl · rintro (_|_|_) <;> rfl #align nat.factorial_eq_one Nat.factorial_eq_one
Mathlib/Data/Nat/Factorial/Basic.lean
121
129
theorem factorial_inj (hn : 1 < n) : n ! = m ! ↔ n = m := by
refine ⟨fun h => ?_, congr_arg _⟩ obtain hnm | rfl | hnm := lt_trichotomy n m · rw [← factorial_lt <| lt_of_succ_lt hn, h] at hnm cases lt_irrefl _ hnm · rfl rw [← one_lt_factorial, h, one_lt_factorial] at hn rw [← factorial_lt <| lt_of_succ_lt hn, h] at hnm cases lt_irrefl _ hnm
8
import Mathlib.Topology.Constructions import Mathlib.Topology.Separation open Set Filter Function Topology variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : X → Y} section codiscrete_filter
Mathlib/Topology/DiscreteSubset.lean
83
92
theorem isClosed_and_discrete_iff {S : Set X} : IsClosed S ∧ DiscreteTopology S ↔ ∀ x, Disjoint (𝓝[≠] x) (𝓟 S) := by
rw [discreteTopology_subtype_iff, isClosed_iff_clusterPt, ← forall_and] congrm (∀ x, ?_) rw [← not_imp_not, clusterPt_iff_not_disjoint, not_not, ← disjoint_iff] constructor <;> intro H · by_cases hx : x ∈ S exacts [H.2 hx, (H.1 hx).mono_left nhdsWithin_le_nhds] · refine ⟨fun hx ↦ ?_, fun _ ↦ H⟩ simpa [disjoint_iff, nhdsWithin, inf_assoc, hx] using H
8
import Mathlib.Data.Set.Lattice import Mathlib.Data.Set.Pairwise.Basic #align_import data.set.pairwise.lattice from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d" open Function Set Order variable {α β γ ι ι' : Type*} {κ : Sort*} {r p q : α → α → Prop} section Pairwise variable {f g : ι → α} {s t u : Set α} {a b : α} namespace Set
Mathlib/Data/Set/Pairwise/Lattice.lean
27
36
theorem pairwise_iUnion {f : κ → Set α} (h : Directed (· ⊆ ·) f) : (⋃ n, f n).Pairwise r ↔ ∀ n, (f n).Pairwise r := by
constructor · intro H n exact Pairwise.mono (subset_iUnion _ _) H · intro H i hi j hj hij rcases mem_iUnion.1 hi with ⟨m, hm⟩ rcases mem_iUnion.1 hj with ⟨n, hn⟩ rcases h m n with ⟨p, mp, np⟩ exact H p (mp hm) (np hn) hij
8
import Mathlib.Data.Multiset.Powerset #align_import data.multiset.antidiagonal from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" assert_not_exists Ring universe u namespace Multiset open List variable {α β : Type*} def antidiagonal (s : Multiset α) : Multiset (Multiset α × Multiset α) := Quot.liftOn s (fun l ↦ (revzip (powersetAux l) : Multiset (Multiset α × Multiset α))) fun _ _ h ↦ Quot.sound (revzip_powersetAux_perm h) #align multiset.antidiagonal Multiset.antidiagonal theorem antidiagonal_coe (l : List α) : @antidiagonal α l = revzip (powersetAux l) := rfl #align multiset.antidiagonal_coe Multiset.antidiagonal_coe @[simp] theorem antidiagonal_coe' (l : List α) : @antidiagonal α l = revzip (powersetAux' l) := Quot.sound revzip_powersetAux_perm_aux' #align multiset.antidiagonal_coe' Multiset.antidiagonal_coe' @[simp] theorem mem_antidiagonal {s : Multiset α} {x : Multiset α × Multiset α} : x ∈ antidiagonal s ↔ x.1 + x.2 = s := Quotient.inductionOn s fun l ↦ by dsimp only [quot_mk_to_coe, antidiagonal_coe] refine ⟨fun h => revzip_powersetAux h, fun h ↦ ?_⟩ haveI := Classical.decEq α simp only [revzip_powersetAux_lemma l revzip_powersetAux, h.symm, ge_iff_le, mem_coe, List.mem_map, mem_powersetAux] cases' x with x₁ x₂ exact ⟨x₁, le_add_right _ _, by rw [add_tsub_cancel_left x₁ x₂]⟩ #align multiset.mem_antidiagonal Multiset.mem_antidiagonal @[simp] theorem antidiagonal_map_fst (s : Multiset α) : (antidiagonal s).map Prod.fst = powerset s := Quotient.inductionOn s fun l ↦ by simp [powersetAux']; #align multiset.antidiagonal_map_fst Multiset.antidiagonal_map_fst @[simp] theorem antidiagonal_map_snd (s : Multiset α) : (antidiagonal s).map Prod.snd = powerset s := Quotient.inductionOn s fun l ↦ by simp [powersetAux'] #align multiset.antidiagonal_map_snd Multiset.antidiagonal_map_snd @[simp] theorem antidiagonal_zero : @antidiagonal α 0 = {(0, 0)} := rfl #align multiset.antidiagonal_zero Multiset.antidiagonal_zero @[simp] theorem antidiagonal_cons (a : α) (s) : antidiagonal (a ::ₘ s) = map (Prod.map id (cons a)) (antidiagonal s) + map (Prod.map (cons a) id) (antidiagonal s) := Quotient.inductionOn s fun l ↦ by simp only [revzip, reverse_append, quot_mk_to_coe, coe_eq_coe, powersetAux'_cons, cons_coe, map_coe, antidiagonal_coe', coe_add] rw [← zip_map, ← zip_map, zip_append, (_ : _ ++ _ = _)] · congr · simp only [List.map_id] · rw [map_reverse] · simp · simp #align multiset.antidiagonal_cons Multiset.antidiagonal_cons
Mathlib/Data/Multiset/Antidiagonal.lean
90
99
theorem antidiagonal_eq_map_powerset [DecidableEq α] (s : Multiset α) : s.antidiagonal = s.powerset.map fun t ↦ (s - t, t) := by
induction' s using Multiset.induction_on with a s hs · simp only [antidiagonal_zero, powerset_zero, zero_tsub, map_singleton] · simp_rw [antidiagonal_cons, powerset_cons, map_add, hs, map_map, Function.comp, Prod.map_mk, id, sub_cons, erase_cons_head] rw [add_comm] congr 1 refine Multiset.map_congr rfl fun x hx ↦ ?_ rw [cons_sub_of_le _ (mem_powerset.mp hx)]
8
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.Deriv.Slope import Mathlib.Analysis.NormedSpace.FiniteDimension import Mathlib.MeasureTheory.Constructions.BorelSpace.ContinuousLinearMap import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import analysis.calculus.fderiv_measurable from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" set_option linter.uppercaseLean3 false -- A B D noncomputable section open Set Metric Asymptotics Filter ContinuousLinearMap MeasureTheory TopologicalSpace open scoped Topology section fderiv variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {f : E → F} (K : Set (E →L[𝕜] F)) namespace FDerivMeasurableAux def A (f : E → F) (L : E →L[𝕜] F) (r ε : ℝ) : Set E := { x | ∃ r' ∈ Ioc (r / 2) r, ∀ y ∈ ball x r', ∀ z ∈ ball x r', ‖f z - f y - L (z - y)‖ < ε * r } #align fderiv_measurable_aux.A FDerivMeasurableAux.A def B (f : E → F) (K : Set (E →L[𝕜] F)) (r s ε : ℝ) : Set E := ⋃ L ∈ K, A f L r ε ∩ A f L s ε #align fderiv_measurable_aux.B FDerivMeasurableAux.B def D (f : E → F) (K : Set (E →L[𝕜] F)) : Set E := ⋂ e : ℕ, ⋃ n : ℕ, ⋂ (p ≥ n) (q ≥ n), B f K ((1 / 2) ^ p) ((1 / 2) ^ q) ((1 / 2) ^ e) #align fderiv_measurable_aux.D FDerivMeasurableAux.D
Mathlib/Analysis/Calculus/FDeriv/Measurable.lean
133
141
theorem isOpen_A (L : E →L[𝕜] F) (r ε : ℝ) : IsOpen (A f L r ε) := by
rw [Metric.isOpen_iff] rintro x ⟨r', r'_mem, hr'⟩ obtain ⟨s, s_gt, s_lt⟩ : ∃ s : ℝ, r / 2 < s ∧ s < r' := exists_between r'_mem.1 have : s ∈ Ioc (r / 2) r := ⟨s_gt, le_of_lt (s_lt.trans_le r'_mem.2)⟩ refine ⟨r' - s, by linarith, fun x' hx' => ⟨s, this, ?_⟩⟩ have B : ball x' s ⊆ ball x r' := ball_subset (le_of_lt hx') intro y hy z hz exact hr' y (B hy) z (B hz)
8
import Mathlib.Data.List.Basic open Function open Nat hiding one_pos assert_not_exists Set.range namespace List universe u v w variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α} section InsertNth variable {a : α} @[simp] theorem insertNth_zero (s : List α) (x : α) : insertNth 0 x s = x :: s := rfl #align list.insert_nth_zero List.insertNth_zero @[simp] theorem insertNth_succ_nil (n : ℕ) (a : α) : insertNth (n + 1) a [] = [] := rfl #align list.insert_nth_succ_nil List.insertNth_succ_nil @[simp] theorem insertNth_succ_cons (s : List α) (hd x : α) (n : ℕ) : insertNth (n + 1) x (hd :: s) = hd :: insertNth n x s := rfl #align list.insert_nth_succ_cons List.insertNth_succ_cons theorem length_insertNth : ∀ n as, n ≤ length as → length (insertNth n a as) = length as + 1 | 0, _, _ => rfl | _ + 1, [], h => (Nat.not_succ_le_zero _ h).elim | n + 1, _ :: as, h => congr_arg Nat.succ <| length_insertNth n as (Nat.le_of_succ_le_succ h) #align list.length_insert_nth List.length_insertNth theorem eraseIdx_insertNth (n : ℕ) (l : List α) : (l.insertNth n a).eraseIdx n = l := by rw [eraseIdx_eq_modifyNthTail, insertNth, modifyNthTail_modifyNthTail_same] exact modifyNthTail_id _ _ #align list.remove_nth_insert_nth List.eraseIdx_insertNth @[deprecated (since := "2024-05-04")] alias removeNth_insertNth := eraseIdx_insertNth theorem insertNth_eraseIdx_of_ge : ∀ n m as, n < length as → n ≤ m → insertNth m a (as.eraseIdx n) = (as.insertNth (m + 1) a).eraseIdx n | 0, 0, [], has, _ => (lt_irrefl _ has).elim | 0, 0, _ :: as, _, _ => by simp [eraseIdx, insertNth] | 0, m + 1, a :: as, _, _ => rfl | n + 1, m + 1, a :: as, has, hmn => congr_arg (cons a) <| insertNth_eraseIdx_of_ge n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn) #align list.insert_nth_remove_nth_of_ge List.insertNth_eraseIdx_of_ge @[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_ge := insertNth_eraseIdx_of_ge theorem insertNth_eraseIdx_of_le : ∀ n m as, n < length as → m ≤ n → insertNth m a (as.eraseIdx n) = (as.insertNth m a).eraseIdx (n + 1) | _, 0, _ :: _, _, _ => rfl | n + 1, m + 1, a :: as, has, hmn => congr_arg (cons a) <| insertNth_eraseIdx_of_le n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn) #align list.insert_nth_remove_nth_of_le List.insertNth_eraseIdx_of_le @[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_le := insertNth_eraseIdx_of_le theorem insertNth_comm (a b : α) : ∀ (i j : ℕ) (l : List α) (_ : i ≤ j) (_ : j ≤ length l), (l.insertNth i a).insertNth (j + 1) b = (l.insertNth j b).insertNth i a | 0, j, l => by simp [insertNth] | i + 1, 0, l => fun h => (Nat.not_lt_zero _ h).elim | i + 1, j + 1, [] => by simp | i + 1, j + 1, c :: l => fun h₀ h₁ => by simp only [insertNth_succ_cons, cons.injEq, true_and] exact insertNth_comm a b i j l (Nat.le_of_succ_le_succ h₀) (Nat.le_of_succ_le_succ h₁) #align list.insert_nth_comm List.insertNth_comm theorem mem_insertNth {a b : α} : ∀ {n : ℕ} {l : List α} (_ : n ≤ l.length), a ∈ l.insertNth n b ↔ a = b ∨ a ∈ l | 0, as, _ => by simp | n + 1, [], h => (Nat.not_succ_le_zero _ h).elim | n + 1, a' :: as, h => by rw [List.insertNth_succ_cons, mem_cons, mem_insertNth (Nat.le_of_succ_le_succ h), ← or_assoc, @or_comm (a = a'), or_assoc, mem_cons] #align list.mem_insert_nth List.mem_insertNth
Mathlib/Data/List/InsertNth.lean
103
112
theorem insertNth_of_length_lt (l : List α) (x : α) (n : ℕ) (h : l.length < n) : insertNth n x l = l := by
induction' l with hd tl IH generalizing n · cases n · simp at h · simp · cases n · simp at h · simp only [Nat.succ_lt_succ_iff, length] at h simpa using IH _ h
8
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Range #align_import data.list.fin_range from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" universe u namespace List variable {α : Type u} @[simp] theorem map_coe_finRange (n : ℕ) : ((finRange n) : List (Fin n)).map (Fin.val) = List.range n := by simp_rw [finRange, map_pmap, pmap_eq_map] exact List.map_id _ #align list.map_coe_fin_range List.map_coe_finRange theorem finRange_succ_eq_map (n : ℕ) : finRange n.succ = 0 :: (finRange n).map Fin.succ := by apply map_injective_iff.mpr Fin.val_injective rw [map_cons, map_coe_finRange, range_succ_eq_map, Fin.val_zero, ← map_coe_finRange, map_map, map_map] simp only [Function.comp, Fin.val_succ] #align list.fin_range_succ_eq_map List.finRange_succ_eq_map theorem finRange_succ (n : ℕ) : finRange n.succ = (finRange n |>.map Fin.castSucc |>.concat (.last _)) := by apply map_injective_iff.mpr Fin.val_injective simp [range_succ, Function.comp_def] -- Porting note: `map_nth_le` moved to `List.finRange_map_get` in Data.List.Range theorem ofFn_eq_pmap {n} {f : Fin n → α} : ofFn f = pmap (fun i hi => f ⟨i, hi⟩) (range n) fun _ => mem_range.1 := by rw [pmap_eq_map_attach] exact ext_get (by simp) fun i hi1 hi2 => by simp [get_ofFn f ⟨i, hi1⟩] #align list.of_fn_eq_pmap List.ofFn_eq_pmap theorem ofFn_id (n) : ofFn id = finRange n := ofFn_eq_pmap #align list.of_fn_id List.ofFn_id theorem ofFn_eq_map {n} {f : Fin n → α} : ofFn f = (finRange n).map f := by rw [← ofFn_id, map_ofFn, Function.comp_id] #align list.of_fn_eq_map List.ofFn_eq_map theorem nodup_ofFn_ofInjective {n} {f : Fin n → α} (hf : Function.Injective f) : Nodup (ofFn f) := by rw [ofFn_eq_pmap] exact (nodup_range n).pmap fun _ _ _ _ H => Fin.val_eq_of_eq <| hf H #align list.nodup_of_fn_of_injective List.nodup_ofFn_ofInjective
Mathlib/Data/List/FinRange.lean
64
72
theorem nodup_ofFn {n} {f : Fin n → α} : Nodup (ofFn f) ↔ Function.Injective f := by
refine ⟨?_, nodup_ofFn_ofInjective⟩ refine Fin.consInduction ?_ (fun x₀ xs ih => ?_) f · intro _ exact Function.injective_of_subsingleton _ · intro h rw [Fin.cons_injective_iff] simp_rw [ofFn_succ, Fin.cons_succ, nodup_cons, Fin.cons_zero, mem_ofFn] at h exact h.imp_right ih
8
import Mathlib.Data.Finsupp.Lex import Mathlib.Data.Finsupp.Multiset import Mathlib.Order.GameAdd #align_import logic.hydra from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded" namespace Relation open Multiset Prod variable {α : Type*} def CutExpand (r : α → α → Prop) (s' s : Multiset α) : Prop := ∃ (t : Multiset α) (a : α), (∀ a' ∈ t, r a' a) ∧ s' + {a} = s + t #align relation.cut_expand Relation.CutExpand variable {r : α → α → Prop} theorem cutExpand_le_invImage_lex [DecidableEq α] [IsIrrefl α r] : CutExpand r ≤ InvImage (Finsupp.Lex (rᶜ ⊓ (· ≠ ·)) (· < ·)) toFinsupp := by rintro s t ⟨u, a, hr, he⟩ replace hr := fun a' ↦ mt (hr a') classical refine ⟨a, fun b h ↦ ?_, ?_⟩ <;> simp_rw [toFinsupp_apply] · apply_fun count b at he simpa only [count_add, count_singleton, if_neg h.2, add_zero, count_eq_zero.2 (hr b h.1)] using he · apply_fun count a at he simp only [count_add, count_singleton_self, count_eq_zero.2 (hr _ (irrefl_of r a)), add_zero] at he exact he ▸ Nat.lt_succ_self _ #align relation.cut_expand_le_inv_image_lex Relation.cutExpand_le_invImage_lex theorem cutExpand_singleton {s x} (h : ∀ x' ∈ s, r x' x) : CutExpand r s {x} := ⟨s, x, h, add_comm s _⟩ #align relation.cut_expand_singleton Relation.cutExpand_singleton theorem cutExpand_singleton_singleton {x' x} (h : r x' x) : CutExpand r {x'} {x} := cutExpand_singleton fun a h ↦ by rwa [mem_singleton.1 h] #align relation.cut_expand_singleton_singleton Relation.cutExpand_singleton_singleton theorem cutExpand_add_left {t u} (s) : CutExpand r (s + t) (s + u) ↔ CutExpand r t u := exists₂_congr fun _ _ ↦ and_congr Iff.rfl <| by rw [add_assoc, add_assoc, add_left_cancel_iff] #align relation.cut_expand_add_left Relation.cutExpand_add_left theorem cutExpand_iff [DecidableEq α] [IsIrrefl α r] {s' s : Multiset α} : CutExpand r s' s ↔ ∃ (t : Multiset α) (a : α), (∀ a' ∈ t, r a' a) ∧ a ∈ s ∧ s' = s.erase a + t := by simp_rw [CutExpand, add_singleton_eq_iff] refine exists₂_congr fun t a ↦ ⟨?_, ?_⟩ · rintro ⟨ht, ha, rfl⟩ obtain h | h := mem_add.1 ha exacts [⟨ht, h, erase_add_left_pos t h⟩, (@irrefl α r _ a (ht a h)).elim] · rintro ⟨ht, h, rfl⟩ exact ⟨ht, mem_add.2 (Or.inl h), (erase_add_left_pos t h).symm⟩ #align relation.cut_expand_iff Relation.cutExpand_iff theorem not_cutExpand_zero [IsIrrefl α r] (s) : ¬CutExpand r s 0 := by classical rw [cutExpand_iff] rintro ⟨_, _, _, ⟨⟩, _⟩ #align relation.not_cut_expand_zero Relation.not_cutExpand_zero theorem cutExpand_fibration (r : α → α → Prop) : Fibration (GameAdd (CutExpand r) (CutExpand r)) (CutExpand r) fun s ↦ s.1 + s.2 := by rintro ⟨s₁, s₂⟩ s ⟨t, a, hr, he⟩; dsimp at he ⊢ classical obtain ⟨ha, rfl⟩ := add_singleton_eq_iff.1 he rw [add_assoc, mem_add] at ha obtain h | h := ha · refine ⟨(s₁.erase a + t, s₂), GameAdd.fst ⟨t, a, hr, ?_⟩, ?_⟩ · rw [add_comm, ← add_assoc, singleton_add, cons_erase h] · rw [add_assoc s₁, erase_add_left_pos _ h, add_right_comm, add_assoc] · refine ⟨(s₁, (s₂ + t).erase a), GameAdd.snd ⟨t, a, hr, ?_⟩, ?_⟩ · rw [add_comm, singleton_add, cons_erase h] · rw [add_assoc, erase_add_right_pos _ h] #align relation.cut_expand_fibration Relation.cutExpand_fibration theorem acc_of_singleton [IsIrrefl α r] {s : Multiset α} (hs : ∀ a ∈ s, Acc (CutExpand r) {a}) : Acc (CutExpand r) s := by induction s using Multiset.induction with | empty => exact Acc.intro 0 fun s h ↦ (not_cutExpand_zero s h).elim | cons a s ihs => rw [← s.singleton_add a] rw [forall_mem_cons] at hs exact (hs.1.prod_gameAdd <| ihs fun a ha ↦ hs.2 a ha).of_fibration _ (cutExpand_fibration r) #align relation.acc_of_singleton Relation.acc_of_singleton
Mathlib/Logic/Hydra.lean
138
146
theorem _root_.Acc.cutExpand [IsIrrefl α r] {a : α} (hacc : Acc r a) : Acc (CutExpand r) {a} := by
induction' hacc with a h ih refine Acc.intro _ fun s ↦ ?_ classical simp only [cutExpand_iff, mem_singleton] rintro ⟨t, a, hr, rfl, rfl⟩ refine acc_of_singleton fun a' ↦ ?_ rw [erase_singleton, zero_add] exact ih a' ∘ hr a'
8
import Mathlib.MeasureTheory.Constructions.Prod.Basic import Mathlib.MeasureTheory.Integral.DominatedConvergence import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open scoped Classical Topology ENNReal MeasureTheory open Set Function Real ENNReal open MeasureTheory MeasurableSpace MeasureTheory.Measure open TopologicalSpace open Filter hiding prod_eq map variable {α α' β β' γ E : Type*} variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β'] variable [MeasurableSpace γ] variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ} variable [NormedAddCommGroup E] theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄ (hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff] exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const #align measurable_set_integrable measurableSet_integrable section variable [NormedSpace ℝ E] theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄ (hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const] borelize E haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) := hf.separableSpace_range_union_singleton let s : ℕ → SimpleFunc (α × β) E := SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp) let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν have hf' : ∀ n, StronglyMeasurable (f' n) := by intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf) have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩ simp only [SimpleFunc.integral_eq_sum_of_subset (this _)] refine Finset.stronglyMeasurable_sum _ fun x _ => ?_ refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _ simp only [s', SimpleFunc.coe_comp, preimage_comp] apply measurable_measure_prod_mk_left exact (s n).measurableSet_fiber x have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by rw [tendsto_pi_nhds]; intro x by_cases hfx : Integrable (f x) ν · have (n) : Integrable (s' n x) ν := by apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable filter_upwards with y simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem, mem_setOf_eq] refine tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖) (fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_ · refine fun n => eventually_of_forall fun y => SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n -- Porting note: Lean 3 solved the following two subgoals on its own · exact hf.measurable · simp · refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_ -- Porting note: Lean 3 solved the following two subgoals on its own · exact hf.measurable.of_uncurry_left · simp apply subset_closure simp [-uncurry_apply_pair] · simp [f', hfx, integral_undef] exact stronglyMeasurable_of_tendsto _ hf' h2f' #align measure_theory.strongly_measurable.integral_prod_right MeasureTheory.StronglyMeasurable.integral_prod_right theorem MeasureTheory.StronglyMeasurable.integral_prod_right' [SigmaFinite ν] ⦃f : α × β → E⦄ (hf : StronglyMeasurable f) : StronglyMeasurable fun x => ∫ y, f (x, y) ∂ν := by rw [← uncurry_curry f] at hf; exact hf.integral_prod_right #align measure_theory.strongly_measurable.integral_prod_right' MeasureTheory.StronglyMeasurable.integral_prod_right' theorem MeasureTheory.StronglyMeasurable.integral_prod_left [SigmaFinite μ] ⦃f : α → β → E⦄ (hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun y => ∫ x, f x y ∂μ := (hf.comp_measurable measurable_swap).integral_prod_right' #align measure_theory.strongly_measurable.integral_prod_left MeasureTheory.StronglyMeasurable.integral_prod_left theorem MeasureTheory.StronglyMeasurable.integral_prod_left' [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : StronglyMeasurable f) : StronglyMeasurable fun y => ∫ x, f (x, y) ∂μ := (hf.comp_measurable measurable_swap).integral_prod_right' #align measure_theory.strongly_measurable.integral_prod_left' MeasureTheory.StronglyMeasurable.integral_prod_left' end namespace MeasureTheory namespace Measure variable [SigmaFinite ν]
Mathlib/MeasureTheory/Constructions/Prod/Integral.lean
158
167
theorem integrable_measure_prod_mk_left {s : Set (α × β)} (hs : MeasurableSet s) (h2s : (μ.prod ν) s ≠ ∞) : Integrable (fun x => (ν (Prod.mk x ⁻¹' s)).toReal) μ := by
refine ⟨(measurable_measure_prod_mk_left hs).ennreal_toReal.aemeasurable.aestronglyMeasurable, ?_⟩ simp_rw [HasFiniteIntegral, ennnorm_eq_ofReal toReal_nonneg] convert h2s.lt_top using 1 -- Porting note: was `simp_rw` rw [prod_apply hs] apply lintegral_congr_ae filter_upwards [ae_measure_lt_top hs h2s] with x hx rw [lt_top_iff_ne_top] at hx; simp [ofReal_toReal, hx]
8
import Mathlib.Topology.Sheaves.Presheaf import Mathlib.CategoryTheory.Adjunction.FullyFaithful #align_import algebraic_geometry.presheafed_space from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor TopCat TopologicalSpace variable (C : Type*) [Category C] -- Porting note: we used to have: -- local attribute [tidy] tactic.auto_cases_opens -- We would replace this by: -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- although it doesn't appear to help in this file, in any case. -- Porting note: we used to have: -- local attribute [tidy] tactic.op_induction' -- A possible replacement would be: -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opposite -- but this would probably require https://github.com/JLimperg/aesop/issues/59 -- In any case, it doesn't seem necessary here. namespace AlgebraicGeometry -- Porting note: `PresheafSpace.{w} C` is the type of topological spaces in `Type w` equipped -- with a presheaf with values in `C`; then there is a total of three universe parameters -- in `PresheafSpace.{w, v, u} C`, where `C : Type u` and `Category.{v} C`. -- In mathlib3, some definitions in this file unnecessarily assumed `w=v`. This restriction -- has been removed. structure PresheafedSpace where carrier : TopCat protected presheaf : carrier.Presheaf C set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace AlgebraicGeometry.PresheafedSpace variable {C} namespace PresheafedSpace -- Porting note: using `Coe` here triggers an error, `CoeOut` seems an acceptable alternative instance coeCarrier : CoeOut (PresheafedSpace C) TopCat where coe X := X.carrier set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.coe_carrier AlgebraicGeometry.PresheafedSpace.coeCarrier attribute [coe] PresheafedSpace.carrier -- Porting note: we add this instance, as Lean does not reliably use the `CoeOut` instance above -- in downstream files. instance : CoeSort (PresheafedSpace C) Type* where coe := fun X => X.carrier -- Porting note: the following lemma is removed because it is a syntactic tauto set_option linter.uppercaseLean3 false in #noalign algebraic_geometry.PresheafedSpace.as_coe -- Porting note: removed @[simp] as the `simpVarHead` linter complains -- @[simp] theorem mk_coe (carrier) (presheaf) : (({ carrier presheaf } : PresheafedSpace C) : TopCat) = carrier := rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.mk_coe AlgebraicGeometry.PresheafedSpace.mk_coe instance (X : PresheafedSpace C) : TopologicalSpace X := X.carrier.str def const (X : TopCat) (Z : C) : PresheafedSpace C where carrier := X presheaf := (Functor.const _).obj Z set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.const AlgebraicGeometry.PresheafedSpace.const instance [Inhabited C] : Inhabited (PresheafedSpace C) := ⟨const (TopCat.of PEmpty) default⟩ structure Hom (X Y : PresheafedSpace C) where base : (X : TopCat) ⟶ (Y : TopCat) c : Y.presheaf ⟶ base _* X.presheaf set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.hom AlgebraicGeometry.PresheafedSpace.Hom -- Porting note: eventually, the ext lemma shall be applied to terms in `X ⟶ Y` -- rather than `Hom X Y`, this one was renamed `Hom.ext` instead of `ext`, -- and the more practical lemma `ext` is defined just after the definition -- of the `Category` instance @[ext]
Mathlib/Geometry/RingedSpace/PresheafedSpace.lean
112
121
theorem Hom.ext {X Y : PresheafedSpace C} (α β : Hom X Y) (w : α.base = β.base) (h : α.c ≫ whiskerRight (eqToHom (by rw [w])) _ = β.c) : α = β := by
rcases α with ⟨base, c⟩ rcases β with ⟨base', c'⟩ dsimp at w subst w dsimp at h erw [whiskerRight_id', comp_id] at h subst h rfl
8
import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Bitwise import Mathlib.Data.Nat.Size #align_import data.int.bitwise from "leanprover-community/mathlib"@"0743cc5d9d86bcd1bba10f480e948a257d65056f" #align_import init.data.int.bitwise from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" namespace Int def div2 : ℤ → ℤ | (n : ℕ) => n.div2 | -[n +1] => negSucc n.div2 #align int.div2 Int.div2 def bodd : ℤ → Bool | (n : ℕ) => n.bodd | -[n +1] => not (n.bodd) #align int.bodd Int.bodd -- Porting note: `bit0, bit1` deprecated, do we need to adapt `bit`? set_option linter.deprecated false in def bit (b : Bool) : ℤ → ℤ := cond b bit1 bit0 #align int.bit Int.bit def testBit : ℤ → ℕ → Bool | (m : ℕ), n => Nat.testBit m n | -[m +1], n => !(Nat.testBit m n) #align int.test_bit Int.testBit def natBitwise (f : Bool → Bool → Bool) (m n : ℕ) : ℤ := cond (f false false) -[ Nat.bitwise (fun x y => not (f x y)) m n +1] (Nat.bitwise f m n) #align int.nat_bitwise Int.natBitwise def bitwise (f : Bool → Bool → Bool) : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => natBitwise f m n | (m : ℕ), -[n +1] => natBitwise (fun x y => f x (not y)) m n | -[m +1], (n : ℕ) => natBitwise (fun x y => f (not x) y) m n | -[m +1], -[n +1] => natBitwise (fun x y => f (not x) (not y)) m n #align int.bitwise Int.bitwise def lnot : ℤ → ℤ | (m : ℕ) => -[m +1] | -[m +1] => m #align int.lnot Int.lnot def lor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m ||| n | (m : ℕ), -[n +1] => -[Nat.ldiff n m +1] | -[m +1], (n : ℕ) => -[Nat.ldiff m n +1] | -[m +1], -[n +1] => -[m &&& n +1] #align int.lor Int.lor def land : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m &&& n | (m : ℕ), -[n +1] => Nat.ldiff m n | -[m +1], (n : ℕ) => Nat.ldiff n m | -[m +1], -[n +1] => -[m ||| n +1] #align int.land Int.land -- Porting note: I don't know why `Nat.ldiff` got the prime, but I'm matching this change here def ldiff : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => Nat.ldiff m n | (m : ℕ), -[n +1] => m &&& n | -[m +1], (n : ℕ) => -[m ||| n +1] | -[m +1], -[n +1] => Nat.ldiff n m #align int.ldiff Int.ldiff -- Porting note: I don't know why `Nat.xor'` got the prime, but I'm matching this change here protected def xor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => (m ^^^ n) | (m : ℕ), -[n +1] => -[(m ^^^ n) +1] | -[m +1], (n : ℕ) => -[(m ^^^ n) +1] | -[m +1], -[n +1] => (m ^^^ n) #align int.lxor Int.xor instance : ShiftLeft ℤ where shiftLeft | (m : ℕ), (n : ℕ) => Nat.shiftLeft' false m n | (m : ℕ), -[n +1] => m >>> (Nat.succ n) | -[m +1], (n : ℕ) => -[Nat.shiftLeft' true m n +1] | -[m +1], -[n +1] => -[m >>> (Nat.succ n) +1] #align int.shiftl ShiftLeft.shiftLeft instance : ShiftRight ℤ where shiftRight m n := m <<< (-n) #align int.shiftr ShiftRight.shiftRight @[simp] theorem bodd_zero : bodd 0 = false := rfl #align int.bodd_zero Int.bodd_zero @[simp] theorem bodd_one : bodd 1 = true := rfl #align int.bodd_one Int.bodd_one theorem bodd_two : bodd 2 = false := rfl #align int.bodd_two Int.bodd_two @[simp, norm_cast] theorem bodd_coe (n : ℕ) : Int.bodd n = Nat.bodd n := rfl #align int.bodd_coe Int.bodd_coe @[simp] theorem bodd_subNatNat (m n : ℕ) : bodd (subNatNat m n) = xor m.bodd n.bodd := by apply subNatNat_elim m n fun m n i => bodd i = xor m.bodd n.bodd <;> intros i j <;> simp only [Int.bodd, Int.bodd_coe, Nat.bodd_add] <;> cases Nat.bodd i <;> simp #align int.bodd_sub_nat_nat Int.bodd_subNatNat @[simp] theorem bodd_negOfNat (n : ℕ) : bodd (negOfNat n) = n.bodd := by cases n <;> simp (config := {decide := true}) rfl #align int.bodd_neg_of_nat Int.bodd_negOfNat @[simp]
Mathlib/Data/Int/Bitwise.lean
159
167
theorem bodd_neg (n : ℤ) : bodd (-n) = bodd n := by
cases n with | ofNat => rw [← negOfNat_eq, bodd_negOfNat] simp | negSucc n => rw [neg_negSucc, bodd_coe, Nat.bodd_succ] change (!Nat.bodd n) = !(bodd n) rw [bodd_coe]
8
import Mathlib.Algebra.Group.Commute.Units import Mathlib.Algebra.Group.Int import Mathlib.Algebra.GroupWithZero.Semiconj import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.int.gcd from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47" namespace Nat def xgcdAux : ℕ → ℤ → ℤ → ℕ → ℤ → ℤ → ℕ × ℤ × ℤ | 0, _, _, r', s', t' => (r', s', t') | succ k, s, t, r', s', t' => let q := r' / succ k xgcdAux (r' % succ k) (s' - q * s) (t' - q * t) (succ k) s t termination_by k => k decreasing_by exact mod_lt _ <| (succ_pos _).gt #align nat.xgcd_aux Nat.xgcdAux @[simp] theorem xgcd_zero_left {s t r' s' t'} : xgcdAux 0 s t r' s' t' = (r', s', t') := by simp [xgcdAux] #align nat.xgcd_zero_left Nat.xgcd_zero_left theorem xgcdAux_rec {r s t r' s' t'} (h : 0 < r) : xgcdAux r s t r' s' t' = xgcdAux (r' % r) (s' - r' / r * s) (t' - r' / r * t) r s t := by obtain ⟨r, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h.ne' simp [xgcdAux] #align nat.xgcd_aux_rec Nat.xgcdAux_rec def xgcd (x y : ℕ) : ℤ × ℤ := (xgcdAux x 1 0 y 0 1).2 #align nat.xgcd Nat.xgcd def gcdA (x y : ℕ) : ℤ := (xgcd x y).1 #align nat.gcd_a Nat.gcdA def gcdB (x y : ℕ) : ℤ := (xgcd x y).2 #align nat.gcd_b Nat.gcdB @[simp] theorem gcdA_zero_left {s : ℕ} : gcdA 0 s = 0 := by unfold gcdA rw [xgcd, xgcd_zero_left] #align nat.gcd_a_zero_left Nat.gcdA_zero_left @[simp] theorem gcdB_zero_left {s : ℕ} : gcdB 0 s = 1 := by unfold gcdB rw [xgcd, xgcd_zero_left] #align nat.gcd_b_zero_left Nat.gcdB_zero_left @[simp] theorem gcdA_zero_right {s : ℕ} (h : s ≠ 0) : gcdA s 0 = 1 := by unfold gcdA xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_a_zero_right Nat.gcdA_zero_right @[simp] theorem gcdB_zero_right {s : ℕ} (h : s ≠ 0) : gcdB s 0 = 0 := by unfold gcdB xgcd obtain ⟨s, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h rw [xgcdAux] simp #align nat.gcd_b_zero_right Nat.gcdB_zero_right @[simp] theorem xgcdAux_fst (x y) : ∀ s t s' t', (xgcdAux x s t y s' t').1 = gcd x y := gcd.induction x y (by simp) fun x y h IH s t s' t' => by simp only [h, xgcdAux_rec, IH] rw [← gcd_rec] #align nat.xgcd_aux_fst Nat.xgcdAux_fst theorem xgcdAux_val (x y) : xgcdAux x 1 0 y 0 1 = (gcd x y, xgcd x y) := by rw [xgcd, ← xgcdAux_fst x y 1 0 0 1] #align nat.xgcd_aux_val Nat.xgcdAux_val theorem xgcd_val (x y) : xgcd x y = (gcdA x y, gcdB x y) := by unfold gcdA gcdB; cases xgcd x y; rfl #align nat.xgcd_val Nat.xgcd_val section variable (x y : ℕ) private def P : ℕ × ℤ × ℤ → Prop | (r, s, t) => (r : ℤ) = x * s + y * t
Mathlib/Data/Int/GCD.lean
123
132
theorem xgcdAux_P {r r'} : ∀ {s t s' t'}, P x y (r, s, t) → P x y (r', s', t') → P x y (xgcdAux r s t r' s' t') := by
induction r, r' using gcd.induction with | H0 => simp | H1 a b h IH => intro s t s' t' p p' rw [xgcdAux_rec h]; refine IH ?_ p; dsimp [P] at * rw [Int.emod_def]; generalize (b / a : ℤ) = k rw [p, p', Int.mul_sub, sub_add_eq_add_sub, Int.mul_sub, Int.add_mul, mul_comm k t, mul_comm k s, ← mul_assoc, ← mul_assoc, add_comm (x * s * k), ← add_sub_assoc, sub_sub]
8
import Mathlib.Data.ENNReal.Real import Mathlib.Order.Interval.Finset.Nat import Mathlib.Topology.UniformSpace.Pi import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.UniformEmbedding #align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Classical open scoped Uniformity Topology Filter NNReal ENNReal Pointwise universe u v w variable {α : Type u} {β : Type v} {X : Type*} theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β) (D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) : U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } := HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩ #align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity @[ext] class EDist (α : Type*) where edist : α → α → ℝ≥0∞ #align has_edist EDist export EDist (edist) def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0) (edist_comm : ∀ x y : α, edist x y = edist y x) (edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α := .ofFun edist edist_self edist_comm edist_triangle fun ε ε0 => ⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ => (ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩ #align uniform_space_of_edist uniformSpaceOfEDist -- the uniform structure is embedded in the emetric space structure -- to avoid instance diamond issues. See Note [forgetful inheritance]. class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where edist_self : ∀ x : α, edist x x = 0 edist_comm : ∀ x y : α, edist x y = edist y x edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl #align pseudo_emetric_space PseudoEMetricSpace attribute [instance] PseudoEMetricSpace.toUniformSpace @[ext] protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α} (h : m.toEDist = m'.toEDist) : m = m' := by cases' m with ed _ _ _ U hU cases' m' with ed' _ _ _ U' hU' congr 1 exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm) variable [PseudoEMetricSpace α] export PseudoEMetricSpace (edist_self edist_comm edist_triangle) attribute [simp] edist_self theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by rw [edist_comm z]; apply edist_triangle #align edist_triangle_left edist_triangle_left theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by rw [edist_comm y]; apply edist_triangle #align edist_triangle_right edist_triangle_right theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by apply le_antisymm · rw [← zero_add (edist y z), ← h] apply edist_triangle · rw [edist_comm] at h rw [← zero_add (edist x z), ← h] apply edist_triangle #align edist_congr_right edist_congr_right theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by rw [edist_comm z x, edist_comm z y] apply edist_congr_right h #align edist_congr_left edist_congr_left -- new theorem theorem edist_congr {w x y z : α} (hl : edist w x = 0) (hr : edist y z = 0) : edist w y = edist x z := (edist_congr_right hl).trans (edist_congr_left hr) theorem edist_triangle4 (x y z t : α) : edist x t ≤ edist x y + edist y z + edist z t := calc edist x t ≤ edist x z + edist z t := edist_triangle x z t _ ≤ edist x y + edist y z + edist z t := add_le_add_right (edist_triangle x y z) _ #align edist_triangle4 edist_triangle4
Mathlib/Topology/EMetricSpace/Basic.lean
144
153
theorem edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) : edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, edist (f i) (f (i + 1)) := by
induction n, h using Nat.le_induction with | base => rw [Finset.Ico_self, Finset.sum_empty, edist_self] | succ n hle ihn => calc edist (f m) (f (n + 1)) ≤ edist (f m) (f n) + edist (f n) (f (n + 1)) := edist_triangle _ _ _ _ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl _ = ∑ i ∈ Finset.Ico m (n + 1), _ := by { rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp }
8
import Mathlib.Algebra.DualNumber import Mathlib.Algebra.QuaternionBasis import Mathlib.Data.Complex.Module import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.CliffordAlgebra.Star import Mathlib.LinearAlgebra.QuadraticForm.Prod #align_import linear_algebra.clifford_algebra.equivs from "leanprover-community/mathlib"@"cf7a7252c1989efe5800e0b3cdfeb4228ac6b40e" open CliffordAlgebra namespace CliffordAlgebraQuaternion open scoped Quaternion open QuaternionAlgebra variable {R : Type*} [CommRing R] (c₁ c₂ : R) def Q : QuadraticForm R (R × R) := (c₁ • QuadraticForm.sq (R := R)).prod (c₂ • QuadraticForm.sq) -- Porting note: Added `(R := R)` set_option linter.uppercaseLean3 false in #align clifford_algebra_quaternion.Q CliffordAlgebraQuaternion.Q @[simp] theorem Q_apply (v : R × R) : Q c₁ c₂ v = c₁ * (v.1 * v.1) + c₂ * (v.2 * v.2) := rfl set_option linter.uppercaseLean3 false in #align clifford_algebra_quaternion.Q_apply CliffordAlgebraQuaternion.Q_apply @[simps i j k] def quaternionBasis : QuaternionAlgebra.Basis (CliffordAlgebra (Q c₁ c₂)) c₁ c₂ where i := ι (Q c₁ c₂) (1, 0) j := ι (Q c₁ c₂) (0, 1) k := ι (Q c₁ c₂) (1, 0) * ι (Q c₁ c₂) (0, 1) i_mul_i := by rw [ι_sq_scalar, Q_apply, ← Algebra.algebraMap_eq_smul_one] simp j_mul_j := by rw [ι_sq_scalar, Q_apply, ← Algebra.algebraMap_eq_smul_one] simp i_mul_j := rfl j_mul_i := by rw [eq_neg_iff_add_eq_zero, ι_mul_ι_add_swap, QuadraticForm.polar] simp #align clifford_algebra_quaternion.quaternion_basis CliffordAlgebraQuaternion.quaternionBasis variable {c₁ c₂} def toQuaternion : CliffordAlgebra (Q c₁ c₂) →ₐ[R] ℍ[R,c₁,c₂] := CliffordAlgebra.lift (Q c₁ c₂) ⟨{ toFun := fun v => (⟨0, v.1, v.2, 0⟩ : ℍ[R,c₁,c₂]) map_add' := fun v₁ v₂ => by simp map_smul' := fun r v => by dsimp; rw [mul_zero] }, fun v => by dsimp ext all_goals dsimp; ring⟩ #align clifford_algebra_quaternion.to_quaternion CliffordAlgebraQuaternion.toQuaternion @[simp] theorem toQuaternion_ι (v : R × R) : toQuaternion (ι (Q c₁ c₂) v) = (⟨0, v.1, v.2, 0⟩ : ℍ[R,c₁,c₂]) := CliffordAlgebra.lift_ι_apply _ _ v #align clifford_algebra_quaternion.to_quaternion_ι CliffordAlgebraQuaternion.toQuaternion_ι theorem toQuaternion_star (c : CliffordAlgebra (Q c₁ c₂)) : toQuaternion (star c) = star (toQuaternion c) := by simp only [CliffordAlgebra.star_def'] induction c using CliffordAlgebra.induction with | algebraMap r => simp only [reverse.commutes, AlgHom.commutes, QuaternionAlgebra.coe_algebraMap, QuaternionAlgebra.star_coe] | ι x => rw [reverse_ι, involute_ι, toQuaternion_ι, AlgHom.map_neg, toQuaternion_ι, QuaternionAlgebra.neg_mk, star_mk, neg_zero] | mul x₁ x₂ hx₁ hx₂ => simp only [reverse.map_mul, AlgHom.map_mul, hx₁, hx₂, star_mul] | add x₁ x₂ hx₁ hx₂ => simp only [reverse.map_add, AlgHom.map_add, hx₁, hx₂, star_add] #align clifford_algebra_quaternion.to_quaternion_star CliffordAlgebraQuaternion.toQuaternion_star def ofQuaternion : ℍ[R,c₁,c₂] →ₐ[R] CliffordAlgebra (Q c₁ c₂) := (quaternionBasis c₁ c₂).liftHom #align clifford_algebra_quaternion.of_quaternion CliffordAlgebraQuaternion.ofQuaternion @[simp] theorem ofQuaternion_mk (a₁ a₂ a₃ a₄ : R) : ofQuaternion (⟨a₁, a₂, a₃, a₄⟩ : ℍ[R,c₁,c₂]) = algebraMap R _ a₁ + a₂ • ι (Q c₁ c₂) (1, 0) + a₃ • ι (Q c₁ c₂) (0, 1) + a₄ • (ι (Q c₁ c₂) (1, 0) * ι (Q c₁ c₂) (0, 1)) := rfl #align clifford_algebra_quaternion.of_quaternion_mk CliffordAlgebraQuaternion.ofQuaternion_mk @[simp]
Mathlib/LinearAlgebra/CliffordAlgebra/Equivs.lean
339
348
theorem ofQuaternion_comp_toQuaternion : ofQuaternion.comp toQuaternion = AlgHom.id R (CliffordAlgebra (Q c₁ c₂)) := by
ext : 1 dsimp -- before we end up with two goals and have to do this twice ext all_goals dsimp rw [toQuaternion_ι] dsimp simp only [toQuaternion_ι, zero_smul, one_smul, zero_add, add_zero, RingHom.map_zero]
8
import Mathlib.Data.Finset.Basic variable {ι : Sort _} {π : ι → Sort _} {x : ∀ i, π i} [DecidableEq ι] namespace Function def updateFinset (x : ∀ i, π i) (s : Finset ι) (y : ∀ i : ↥s, π i) (i : ι) : π i := if hi : i ∈ s then y ⟨i, hi⟩ else x i open Finset Equiv theorem updateFinset_def {s : Finset ι} {y} : updateFinset x s y = fun i ↦ if hi : i ∈ s then y ⟨i, hi⟩ else x i := rfl @[simp] theorem updateFinset_empty {y} : updateFinset x ∅ y = x := rfl theorem updateFinset_singleton {i y} : updateFinset x {i} y = Function.update x i (y ⟨i, mem_singleton_self i⟩) := by congr with j by_cases hj : j = i · cases hj simp only [dif_pos, Finset.mem_singleton, update_same, updateFinset] · simp [hj, updateFinset] theorem update_eq_updateFinset {i y} : Function.update x i y = updateFinset x {i} (uniqueElim y) := by congr with j by_cases hj : j = i · cases hj simp only [dif_pos, Finset.mem_singleton, update_same, updateFinset] exact uniqueElim_default (α := fun j : ({i} : Finset ι) => π j) y · simp [hj, updateFinset]
Mathlib/Data/Finset/Update.lean
52
63
theorem updateFinset_updateFinset {s t : Finset ι} (hst : Disjoint s t) {y : ∀ i : ↥s, π i} {z : ∀ i : ↥t, π i} : updateFinset (updateFinset x s y) t z = updateFinset x (s ∪ t) (Equiv.piFinsetUnion π hst ⟨y, z⟩) := by
set e := Equiv.Finset.union s t hst congr with i by_cases his : i ∈ s <;> by_cases hit : i ∈ t <;> simp only [updateFinset, his, hit, dif_pos, dif_neg, Finset.mem_union, true_or_iff, false_or_iff, not_false_iff] · exfalso; exact Finset.disjoint_left.mp hst his hit · exact piCongrLeft_sum_inl (fun b : ↥(s ∪ t) => π b) e y z ⟨i, his⟩ |>.symm · exact piCongrLeft_sum_inr (fun b : ↥(s ∪ t) => π b) e y z ⟨i, hit⟩ |>.symm
8
import Mathlib.Algebra.QuadraticDiscriminant import Mathlib.Analysis.Convex.SpecificFunctions.Deriv import Mathlib.Analysis.SpecialFunctions.Pow.Complex #align_import analysis.special_functions.trigonometric.complex from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" noncomputable section namespace Complex open Set Filter open scoped Real
Mathlib/Analysis/SpecialFunctions/Trigonometric/Complex.lean
32
40
theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 := by
have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1 := by rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero, zero_mul, add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub] ring_nf rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm] refine exists_congr fun x => ?_ refine (iff_of_eq <| congr_arg _ ?_).trans (mul_right_inj' <| mul_ne_zero two_ne_zero I_ne_zero) field_simp; ring
8
import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.nakayama from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] open Ideal namespace Submodule
Mathlib/RingTheory/Nakayama.lean
52
61
theorem eq_smul_of_le_smul_of_le_jacobson {I J : Ideal R} {N : Submodule R M} (hN : N.FG) (hIN : N ≤ I • N) (hIjac : I ≤ jacobson J) : N = J • N := by
refine le_antisymm ?_ (Submodule.smul_le.2 fun _ _ _ => Submodule.smul_mem _ _) intro n hn cases' Submodule.exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul I N hN hIN with r hr cases' exists_mul_sub_mem_of_sub_one_mem_jacobson r (hIjac hr.1) with s hs have : n = -(s * r - 1) • n := by rw [neg_sub, sub_smul, mul_smul, hr.2 n hn, one_smul, smul_zero, sub_zero] rw [this] exact Submodule.smul_mem_smul (Submodule.neg_mem _ hs) hn
8
import Mathlib.Data.Set.Function import Mathlib.Logic.Relation import Mathlib.Logic.Pairwise #align_import data.set.pairwise.basic from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d" open Function Order Set variable {α β γ ι ι' : Type*} {r p q : α → α → Prop} section Pairwise variable {f g : ι → α} {s t u : Set α} {a b : α} theorem pairwise_on_bool (hr : Symmetric r) {a b : α} : Pairwise (r on fun c => cond c a b) ↔ r a b := by simpa [Pairwise, Function.onFun] using @hr a b #align pairwise_on_bool pairwise_on_bool theorem pairwise_disjoint_on_bool [SemilatticeInf α] [OrderBot α] {a b : α} : Pairwise (Disjoint on fun c => cond c a b) ↔ Disjoint a b := pairwise_on_bool Disjoint.symm #align pairwise_disjoint_on_bool pairwise_disjoint_on_bool theorem Symmetric.pairwise_on [LinearOrder ι] (hr : Symmetric r) (f : ι → α) : Pairwise (r on f) ↔ ∀ ⦃m n⦄, m < n → r (f m) (f n) := ⟨fun h _m _n hmn => h hmn.ne, fun h _m _n hmn => hmn.lt_or_lt.elim (@h _ _) fun h' => hr (h h')⟩ #align symmetric.pairwise_on Symmetric.pairwise_on theorem pairwise_disjoint_on [SemilatticeInf α] [OrderBot α] [LinearOrder ι] (f : ι → α) : Pairwise (Disjoint on f) ↔ ∀ ⦃m n⦄, m < n → Disjoint (f m) (f n) := Symmetric.pairwise_on Disjoint.symm f #align pairwise_disjoint_on pairwise_disjoint_on theorem pairwise_disjoint_mono [SemilatticeInf α] [OrderBot α] (hs : Pairwise (Disjoint on f)) (h : g ≤ f) : Pairwise (Disjoint on g) := hs.mono fun i j hij => Disjoint.mono (h i) (h j) hij #align pairwise_disjoint.mono pairwise_disjoint_mono namespace Set theorem Pairwise.mono (h : t ⊆ s) (hs : s.Pairwise r) : t.Pairwise r := fun _x xt _y yt => hs (h xt) (h yt) #align set.pairwise.mono Set.Pairwise.mono theorem Pairwise.mono' (H : r ≤ p) (hr : s.Pairwise r) : s.Pairwise p := hr.imp H #align set.pairwise.mono' Set.Pairwise.mono' theorem pairwise_top (s : Set α) : s.Pairwise ⊤ := pairwise_of_forall s _ fun _ _ => trivial #align set.pairwise_top Set.pairwise_top protected theorem Subsingleton.pairwise (h : s.Subsingleton) (r : α → α → Prop) : s.Pairwise r := fun _x hx _y hy hne => (hne (h hx hy)).elim #align set.subsingleton.pairwise Set.Subsingleton.pairwise @[simp] theorem pairwise_empty (r : α → α → Prop) : (∅ : Set α).Pairwise r := subsingleton_empty.pairwise r #align set.pairwise_empty Set.pairwise_empty @[simp] theorem pairwise_singleton (a : α) (r : α → α → Prop) : Set.Pairwise {a} r := subsingleton_singleton.pairwise r #align set.pairwise_singleton Set.pairwise_singleton theorem pairwise_iff_of_refl [IsRefl α r] : s.Pairwise r ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → r a b := forall₄_congr fun _ _ _ _ => or_iff_not_imp_left.symm.trans <| or_iff_right_of_imp of_eq #align set.pairwise_iff_of_refl Set.pairwise_iff_of_refl alias ⟨Pairwise.of_refl, _⟩ := pairwise_iff_of_refl #align set.pairwise.of_refl Set.Pairwise.of_refl
Mathlib/Data/Set/Pairwise/Basic.lean
100
109
theorem Nonempty.pairwise_iff_exists_forall [IsEquiv α r] {s : Set ι} (hs : s.Nonempty) : s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by
constructor · rcases hs with ⟨y, hy⟩ refine fun H => ⟨f y, fun x hx => ?_⟩ rcases eq_or_ne x y with (rfl | hne) · apply IsRefl.refl · exact H hx hy hne · rintro ⟨z, hz⟩ x hx y hy _ exact @IsTrans.trans α r _ (f x) z (f y) (hz _ hx) (IsSymm.symm _ _ <| hz _ hy)
8
import Mathlib.Algebra.BigOperators.Intervals import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Order.Group.Indicator import Mathlib.Order.LiminfLimsup import Mathlib.Order.Filter.Archimedean import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Algebra.Group.Basic import Mathlib.Data.Set.Lattice import Mathlib.Topology.Order.Monotone #align_import topology.algebra.order.liminf_limsup from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451" open Filter TopologicalSpace open scoped Topology Classical universe u v variable {ι α β R S : Type*} {π : ι → Type*} class BoundedLENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_le_nhds (a : α) : (𝓝 a).IsBounded (· ≤ ·) #align bounded_le_nhds_class BoundedLENhdsClass class BoundedGENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where isBounded_ge_nhds (a : α) : (𝓝 a).IsBounded (· ≥ ·) #align bounded_ge_nhds_class BoundedGENhdsClass section Preorder variable [Preorder α] [Preorder β] [TopologicalSpace α] [TopologicalSpace β] section LiminfLimsup section Indicator theorem limsup_eq_tendsto_sum_indicator_nat_atTop (s : ℕ → Set α) : limsup s atTop = { ω | Tendsto (fun n ↦ ∑ k ∈ Finset.range n, (s (k + 1)).indicator (1 : α → ℕ) ω) atTop atTop } := by ext ω simp only [limsup_eq_iInf_iSup_of_nat, ge_iff_le, Set.iSup_eq_iUnion, Set.iInf_eq_iInter, Set.mem_iInter, Set.mem_iUnion, exists_prop] constructor · intro hω refine tendsto_atTop_atTop_of_monotone' (fun n m hnm ↦ Finset.sum_mono_set_of_nonneg (fun i ↦ Set.indicator_nonneg (fun _ _ ↦ zero_le_one) _) (Finset.range_mono hnm)) ?_ rintro ⟨i, h⟩ simp only [mem_upperBounds, Set.mem_range, forall_exists_index, forall_apply_eq_imp_iff] at h induction' i with k hk · obtain ⟨j, hj₁, hj₂⟩ := hω 1 refine not_lt.2 (h <| j + 1) (lt_of_le_of_lt (Finset.sum_const_zero.symm : 0 = ∑ k ∈ Finset.range (j + 1), 0).le ?_) refine Finset.sum_lt_sum (fun m _ ↦ Set.indicator_nonneg (fun _ _ ↦ zero_le_one) _) ⟨j - 1, Finset.mem_range.2 (lt_of_le_of_lt (Nat.sub_le _ _) j.lt_succ_self), ?_⟩ rw [Nat.sub_add_cancel hj₁, Set.indicator_of_mem hj₂] exact zero_lt_one · rw [imp_false] at hk push_neg at hk obtain ⟨i, hi⟩ := hk obtain ⟨j, hj₁, hj₂⟩ := hω (i + 1) replace hi : (∑ k ∈ Finset.range i, (s (k + 1)).indicator 1 ω) = k + 1 := le_antisymm (h i) hi refine not_lt.2 (h <| j + 1) ?_ rw [← Finset.sum_range_add_sum_Ico _ (i.le_succ.trans (hj₁.trans j.le_succ)), hi] refine lt_add_of_pos_right _ ?_ rw [(Finset.sum_const_zero.symm : 0 = ∑ k ∈ Finset.Ico i (j + 1), 0)] refine Finset.sum_lt_sum (fun m _ ↦ Set.indicator_nonneg (fun _ _ ↦ zero_le_one) _) ⟨j - 1, Finset.mem_Ico.2 ⟨(Nat.le_sub_iff_add_le (le_trans ((le_add_iff_nonneg_left _).2 zero_le') hj₁)).2 hj₁, lt_of_le_of_lt (Nat.sub_le _ _) j.lt_succ_self⟩, ?_⟩ rw [Nat.sub_add_cancel (le_trans ((le_add_iff_nonneg_left _).2 zero_le') hj₁), Set.indicator_of_mem hj₂] exact zero_lt_one · rintro hω i rw [Set.mem_setOf_eq, tendsto_atTop_atTop] at hω by_contra! hcon obtain ⟨j, h⟩ := hω (i + 1) have : (∑ k ∈ Finset.range j, (s (k + 1)).indicator 1 ω) ≤ i := by have hle : ∀ j ≤ i, (∑ k ∈ Finset.range j, (s (k + 1)).indicator 1 ω) ≤ i := by refine fun j hij ↦ (Finset.sum_le_card_nsmul _ _ _ ?_ : _ ≤ (Finset.range j).card • 1).trans ?_ · exact fun m _ ↦ Set.indicator_apply_le' (fun _ ↦ le_rfl) fun _ ↦ zero_le_one · simpa only [Finset.card_range, smul_eq_mul, mul_one] by_cases hij : j < i · exact hle _ hij.le · rw [← Finset.sum_range_add_sum_Ico _ (not_lt.1 hij)] suffices (∑ k ∈ Finset.Ico i j, (s (k + 1)).indicator 1 ω) = 0 by rw [this, add_zero] exact hle _ le_rfl refine Finset.sum_eq_zero fun m hm ↦ ?_ exact Set.indicator_of_not_mem (hcon _ <| (Finset.mem_Ico.1 hm).1.trans m.le_succ) _ exact not_le.2 (lt_of_lt_of_le i.lt_succ_self <| h _ le_rfl) this #align limsup_eq_tendsto_sum_indicator_nat_at_top limsup_eq_tendsto_sum_indicator_nat_atTop
Mathlib/Topology/Algebra/Order/LiminfLimsup.lean
568
578
theorem limsup_eq_tendsto_sum_indicator_atTop (R : Type*) [StrictOrderedSemiring R] [Archimedean R] (s : ℕ → Set α) : limsup s atTop = { ω | Tendsto (fun n ↦ ∑ k ∈ Finset.range n, (s (k + 1)).indicator (1 : α → R) ω) atTop atTop } := by
rw [limsup_eq_tendsto_sum_indicator_nat_atTop s] ext ω simp only [Set.mem_setOf_eq] rw [(_ : (fun n ↦ ∑ k ∈ Finset.range n, (s (k + 1)).indicator (1 : α → R) ω) = fun n ↦ ↑(∑ k ∈ Finset.range n, (s (k + 1)).indicator (1 : α → ℕ) ω))] · exact tendsto_natCast_atTop_iff.symm · ext n simp only [Set.indicator, Pi.one_apply, Finset.sum_boole, Nat.cast_id]
8
import Mathlib.SetTheory.Ordinal.Arithmetic namespace OrdinalApprox universe u variable {α : Type u} variable [CompleteLattice α] (f : α →o α) (x : α) open Function fixedPoints Cardinal Order OrderHom set_option linter.unusedVariables false in def lfpApprox (a : Ordinal.{u}) : α := sSup ({ f (lfpApprox b) | (b : Ordinal) (h : b < a) } ∪ {x}) termination_by a decreasing_by exact h
Mathlib/SetTheory/Ordinal/FixedPointApproximants.lean
77
85
theorem lfpApprox_monotone : Monotone (lfpApprox f x) := by
unfold Monotone; intros a b h; unfold lfpApprox refine sSup_le_sSup ?h apply sup_le_sup_right simp only [exists_prop, Set.le_eq_subset, Set.setOf_subset_setOf, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] intros a' h' use a' exact ⟨lt_of_lt_of_le h' h, rfl⟩
8
import Mathlib.LinearAlgebra.Dimension.Finrank import Mathlib.LinearAlgebra.InvariantBasisNumber #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v w w' variable {R : Type u} {M : Type v} [Ring R] [AddCommGroup M] [Module R M] variable {ι : Type w} {ι' : Type w'} open Cardinal Basis Submodule Function Set attribute [local instance] nontrivial_of_invariantBasisNumber section RankCondition variable [RankCondition R]
Mathlib/LinearAlgebra/Dimension/StrongRankCondition.lean
109
118
theorem Basis.le_span'' {ι : Type*} [Fintype ι] (b : Basis ι R M) {w : Set M} [Fintype w] (s : span R w = ⊤) : Fintype.card ι ≤ Fintype.card w := by
-- We construct a surjective linear map `(w → R) →ₗ[R] (ι → R)`, -- by expressing a linear combination in `w` as a linear combination in `ι`. fapply card_le_of_surjective' R · exact b.repr.toLinearMap.comp (Finsupp.total w M R (↑)) · apply Surjective.comp (g := b.repr.toLinearMap) · apply LinearEquiv.surjective rw [← LinearMap.range_eq_top, Finsupp.range_total] simpa using s
8
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Bounds #align_import data.real.pi.bounds from "leanprover-community/mathlib"@"402f8982dddc1864bd703da2d6e2ee304a866973" -- Porting note: needed to add a lot of type ascriptions for lean to interpret numbers as reals. open scoped Real namespace Real
Mathlib/Data/Real/Pi/Bounds.lean
28
37
theorem pi_gt_sqrtTwoAddSeries (n : ℕ) : (2 : ℝ) ^ (n + 1) * √(2 - sqrtTwoAddSeries 0 n) < π := by
have : √(2 - sqrtTwoAddSeries 0 n) / (2 : ℝ) * (2 : ℝ) ^ (n + 2) < π := by rw [← lt_div_iff, ← sin_pi_over_two_pow_succ] focus apply sin_lt apply div_pos pi_pos all_goals apply pow_pos; norm_num apply lt_of_le_of_lt (le_of_eq _) this rw [pow_succ' _ (n + 1), ← mul_assoc, div_mul_cancel₀, mul_comm]; norm_num
8
import Mathlib.Order.Interval.Set.Basic import Mathlib.Data.Set.Function #align_import data.set.intervals.surj_on from "leanprover-community/mathlib"@"a59dad53320b73ef180174aae867addd707ef00e" variable {α : Type*} {β : Type*} [LinearOrder α] [PartialOrder β] {f : α → β} open Set Function open OrderDual (toDual) theorem surjOn_Ioo_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a b : α) : SurjOn f (Ioo a b) (Ioo (f a) (f b)) := by intro p hp rcases h_surj p with ⟨x, rfl⟩ refine ⟨x, mem_Ioo.2 ?_, rfl⟩ contrapose! hp exact fun h => h.2.not_le (h_mono <| hp <| h_mono.reflect_lt h.1) #align surj_on_Ioo_of_monotone_surjective surjOn_Ioo_of_monotone_surjective
Mathlib/Order/Interval/Set/SurjOn.lean
35
44
theorem surjOn_Ico_of_monotone_surjective (h_mono : Monotone f) (h_surj : Function.Surjective f) (a b : α) : SurjOn f (Ico a b) (Ico (f a) (f b)) := by
obtain hab | hab := lt_or_le a b · intro p hp rcases eq_left_or_mem_Ioo_of_mem_Ico hp with (rfl | hp') · exact mem_image_of_mem f (left_mem_Ico.mpr hab) · have := surjOn_Ioo_of_monotone_surjective h_mono h_surj a b hp' exact image_subset f Ioo_subset_Ico_self this · rw [Ico_eq_empty (h_mono hab).not_lt] exact surjOn_empty f _
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import Mathlib.Analysis.Complex.RemovableSingularity import Mathlib.Analysis.Calculus.UniformLimitsDeriv import Mathlib.Analysis.NormedSpace.FunctionSeries #align_import analysis.complex.locally_uniform_limit from "leanprover-community/mathlib"@"fe44cd36149e675eb5dec87acc7e8f1d6568e081" open Set Metric MeasureTheory Filter Complex intervalIntegral open scoped Real Topology variable {E ι : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] [CompleteSpace E] {U K : Set ℂ} {z : ℂ} {M r δ : ℝ} {φ : Filter ι} {F : ι → ℂ → E} {f g : ℂ → E} namespace Complex section Cderiv noncomputable def cderiv (r : ℝ) (f : ℂ → E) (z : ℂ) : E := (2 * π * I : ℂ)⁻¹ • ∮ w in C(z, r), ((w - z) ^ 2)⁻¹ • f w #align complex.cderiv Complex.cderiv theorem cderiv_eq_deriv (hU : IsOpen U) (hf : DifferentiableOn ℂ f U) (hr : 0 < r) (hzr : closedBall z r ⊆ U) : cderiv r f z = deriv f z := two_pi_I_inv_smul_circleIntegral_sub_sq_inv_smul_of_differentiable hU hzr hf (mem_ball_self hr) #align complex.cderiv_eq_deriv Complex.cderiv_eq_deriv theorem norm_cderiv_le (hr : 0 < r) (hf : ∀ w ∈ sphere z r, ‖f w‖ ≤ M) : ‖cderiv r f z‖ ≤ M / r := by have hM : 0 ≤ M := by obtain ⟨w, hw⟩ : (sphere z r).Nonempty := NormedSpace.sphere_nonempty.mpr hr.le exact (norm_nonneg _).trans (hf w hw) have h1 : ∀ w ∈ sphere z r, ‖((w - z) ^ 2)⁻¹ • f w‖ ≤ M / r ^ 2 := by intro w hw simp only [mem_sphere_iff_norm, norm_eq_abs] at hw simp only [norm_smul, inv_mul_eq_div, hw, norm_eq_abs, map_inv₀, Complex.abs_pow] exact div_le_div hM (hf w hw) (sq_pos_of_pos hr) le_rfl have h2 := circleIntegral.norm_integral_le_of_norm_le_const hr.le h1 simp only [cderiv, norm_smul] refine (mul_le_mul le_rfl h2 (norm_nonneg _) (norm_nonneg _)).trans (le_of_eq ?_) field_simp [_root_.abs_of_nonneg Real.pi_pos.le] ring #align complex.norm_cderiv_le Complex.norm_cderiv_le
Mathlib/Analysis/Complex/LocallyUniformLimit.lean
67
76
theorem cderiv_sub (hr : 0 < r) (hf : ContinuousOn f (sphere z r)) (hg : ContinuousOn g (sphere z r)) : cderiv r (f - g) z = cderiv r f z - cderiv r g z := by
have h1 : ContinuousOn (fun w : ℂ => ((w - z) ^ 2)⁻¹) (sphere z r) := by refine ((continuous_id'.sub continuous_const).pow 2).continuousOn.inv₀ fun w hw h => hr.ne ?_ rwa [mem_sphere_iff_norm, sq_eq_zero_iff.mp h, norm_zero] at hw simp_rw [cderiv, ← smul_sub] congr 1 simpa only [Pi.sub_apply, smul_sub] using circleIntegral.integral_sub ((h1.smul hf).circleIntegrable hr.le) ((h1.smul hg).circleIntegrable hr.le)
8
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.Data.ZMod.Algebra #align_import ring_theory.polynomial.cyclotomic.expand from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472" namespace Polynomial @[simp] theorem cyclotomic_expand_eq_cyclotomic_mul {p n : ℕ} (hp : Nat.Prime p) (hdiv : ¬p ∣ n) (R : Type*) [CommRing R] : expand R p (cyclotomic n R) = cyclotomic (n * p) R * cyclotomic n R := by rcases Nat.eq_zero_or_pos n with (rfl | hnpos) · simp haveI := NeZero.of_pos hnpos suffices expand ℤ p (cyclotomic n ℤ) = cyclotomic (n * p) ℤ * cyclotomic n ℤ by rw [← map_cyclotomic_int, ← map_expand, this, Polynomial.map_mul, map_cyclotomic_int, map_cyclotomic] refine eq_of_monic_of_dvd_of_natDegree_le ((cyclotomic.monic _ ℤ).mul (cyclotomic.monic _ ℤ)) ((cyclotomic.monic n ℤ).expand hp.pos) ?_ ?_ · refine (IsPrimitive.Int.dvd_iff_map_cast_dvd_map_cast _ _ (IsPrimitive.mul (cyclotomic.isPrimitive (n * p) ℤ) (cyclotomic.isPrimitive n ℤ)) ((cyclotomic.monic n ℤ).expand hp.pos).isPrimitive).2 ?_ rw [Polynomial.map_mul, map_cyclotomic_int, map_cyclotomic_int, map_expand, map_cyclotomic_int] refine IsCoprime.mul_dvd (cyclotomic.isCoprime_rat fun h => ?_) ?_ ?_ · replace h : n * p = n * 1 := by simp [h] exact Nat.Prime.ne_one hp (mul_left_cancel₀ hnpos.ne' h) · have hpos : 0 < n * p := mul_pos hnpos hp.pos have hprim := Complex.isPrimitiveRoot_exp _ hpos.ne' rw [cyclotomic_eq_minpoly_rat hprim hpos] refine minpoly.dvd ℚ _ ?_ rw [aeval_def, ← eval_map, map_expand, map_cyclotomic, expand_eval, ← IsRoot.def, @isRoot_cyclotomic_iff] convert IsPrimitiveRoot.pow_of_dvd hprim hp.ne_zero (dvd_mul_left p n) rw [Nat.mul_div_cancel _ (Nat.Prime.pos hp)] · have hprim := Complex.isPrimitiveRoot_exp _ hnpos.ne.symm rw [cyclotomic_eq_minpoly_rat hprim hnpos] refine minpoly.dvd ℚ _ ?_ rw [aeval_def, ← eval_map, map_expand, expand_eval, ← IsRoot.def, ← cyclotomic_eq_minpoly_rat hprim hnpos, map_cyclotomic, @isRoot_cyclotomic_iff] exact IsPrimitiveRoot.pow_of_prime hprim hp hdiv · rw [natDegree_expand, natDegree_cyclotomic, natDegree_mul (cyclotomic_ne_zero _ ℤ) (cyclotomic_ne_zero _ ℤ), natDegree_cyclotomic, natDegree_cyclotomic, mul_comm n, Nat.totient_mul ((Nat.Prime.coprime_iff_not_dvd hp).2 hdiv), Nat.totient_prime hp, mul_comm (p - 1), ← Nat.mul_succ, Nat.sub_one, Nat.succ_pred_eq_of_pos hp.pos] #align polynomial.cyclotomic_expand_eq_cyclotomic_mul Polynomial.cyclotomic_expand_eq_cyclotomic_mul @[simp] theorem cyclotomic_expand_eq_cyclotomic {p n : ℕ} (hp : Nat.Prime p) (hdiv : p ∣ n) (R : Type*) [CommRing R] : expand R p (cyclotomic n R) = cyclotomic (n * p) R := by rcases n.eq_zero_or_pos with (rfl | hzero) · simp haveI := NeZero.of_pos hzero suffices expand ℤ p (cyclotomic n ℤ) = cyclotomic (n * p) ℤ by rw [← map_cyclotomic_int, ← map_expand, this, map_cyclotomic_int] refine eq_of_monic_of_dvd_of_natDegree_le (cyclotomic.monic _ ℤ) ((cyclotomic.monic n ℤ).expand hp.pos) ?_ ?_ · have hpos := Nat.mul_pos hzero hp.pos have hprim := Complex.isPrimitiveRoot_exp _ hpos.ne.symm rw [cyclotomic_eq_minpoly hprim hpos] refine minpoly.isIntegrallyClosed_dvd (hprim.isIntegral hpos) ?_ rw [aeval_def, ← eval_map, map_expand, map_cyclotomic, expand_eval, ← IsRoot.def, @isRoot_cyclotomic_iff] convert IsPrimitiveRoot.pow_of_dvd hprim hp.ne_zero (dvd_mul_left p n) rw [Nat.mul_div_cancel _ hp.pos] · rw [natDegree_expand, natDegree_cyclotomic, natDegree_cyclotomic, mul_comm n, Nat.totient_mul_of_prime_of_dvd hp hdiv, mul_comm] #align polynomial.cyclotomic_expand_eq_cyclotomic Polynomial.cyclotomic_expand_eq_cyclotomic
Mathlib/RingTheory/Polynomial/Cyclotomic/Expand.lean
100
110
theorem cyclotomic_irreducible_pow_of_irreducible_pow {p : ℕ} (hp : Nat.Prime p) {R} [CommRing R] [IsDomain R] {n m : ℕ} (hmn : m ≤ n) (h : Irreducible (cyclotomic (p ^ n) R)) : Irreducible (cyclotomic (p ^ m) R) := by
rcases m.eq_zero_or_pos with (rfl | hm) · simpa using irreducible_X_sub_C (1 : R) obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_le hmn induction' k with k hk · simpa using h have : m + k ≠ 0 := (add_pos_of_pos_of_nonneg hm k.zero_le).ne' rw [Nat.add_succ, pow_succ, ← cyclotomic_expand_eq_cyclotomic hp <| dvd_pow_self p this] at h exact hk (by omega) (of_irreducible_expand hp.ne_zero h)
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import Mathlib.Algebra.Associated import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Algebra.SMulWithZero import Mathlib.Data.Nat.PartENat import Mathlib.Tactic.Linarith #align_import ring_theory.multiplicity from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" variable {α β : Type*} open Nat Part def multiplicity [Monoid α] [DecidableRel ((· ∣ ·) : α → α → Prop)] (a b : α) : PartENat := PartENat.find fun n => ¬a ^ (n + 1) ∣ b #align multiplicity multiplicity namespace multiplicity section Monoid variable [Monoid α] [Monoid β] abbrev Finite (a b : α) : Prop := ∃ n : ℕ, ¬a ^ (n + 1) ∣ b #align multiplicity.finite multiplicity.Finite theorem finite_iff_dom [DecidableRel ((· ∣ ·) : α → α → Prop)] {a b : α} : Finite a b ↔ (multiplicity a b).Dom := Iff.rfl #align multiplicity.finite_iff_dom multiplicity.finite_iff_dom theorem finite_def {a b : α} : Finite a b ↔ ∃ n : ℕ, ¬a ^ (n + 1) ∣ b := Iff.rfl #align multiplicity.finite_def multiplicity.finite_def theorem not_dvd_one_of_finite_one_right {a : α} : Finite a 1 → ¬a ∣ 1 := fun ⟨n, hn⟩ ⟨d, hd⟩ => hn ⟨d ^ (n + 1), (pow_mul_pow_eq_one (n + 1) hd.symm).symm⟩ #align multiplicity.not_dvd_one_of_finite_one_right multiplicity.not_dvd_one_of_finite_one_right @[norm_cast]
Mathlib/RingTheory/Multiplicity.lean
65
73
theorem Int.natCast_multiplicity (a b : ℕ) : multiplicity (a : ℤ) (b : ℤ) = multiplicity a b := by
apply Part.ext' · rw [← @finite_iff_dom ℕ, @finite_def ℕ, ← @finite_iff_dom ℤ, @finite_def ℤ] norm_cast · intro h1 h2 apply _root_.le_antisymm <;> · apply Nat.find_mono norm_cast simp
8
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Topology.Algebra.OpenSubgroup import Mathlib.Topology.Algebra.Ring.Basic #align_import topology.algebra.nonarchimedean.basic from "leanprover-community/mathlib"@"83f81aea33931a1edb94ce0f32b9a5d484de6978" open scoped Pointwise Topology class NonarchimedeanAddGroup (G : Type*) [AddGroup G] [TopologicalSpace G] extends TopologicalAddGroup G : Prop where is_nonarchimedean : ∀ U ∈ 𝓝 (0 : G), ∃ V : OpenAddSubgroup G, (V : Set G) ⊆ U #align nonarchimedean_add_group NonarchimedeanAddGroup @[to_additive] class NonarchimedeanGroup (G : Type*) [Group G] [TopologicalSpace G] extends TopologicalGroup G : Prop where is_nonarchimedean : ∀ U ∈ 𝓝 (1 : G), ∃ V : OpenSubgroup G, (V : Set G) ⊆ U #align nonarchimedean_group NonarchimedeanGroup class NonarchimedeanRing (R : Type*) [Ring R] [TopologicalSpace R] extends TopologicalRing R : Prop where is_nonarchimedean : ∀ U ∈ 𝓝 (0 : R), ∃ V : OpenAddSubgroup R, (V : Set R) ⊆ U #align nonarchimedean_ring NonarchimedeanRing -- see Note [lower instance priority] instance (priority := 100) NonarchimedeanRing.to_nonarchimedeanAddGroup (R : Type*) [Ring R] [TopologicalSpace R] [t : NonarchimedeanRing R] : NonarchimedeanAddGroup R := { t with } #align nonarchimedean_ring.to_nonarchimedean_add_group NonarchimedeanRing.to_nonarchimedeanAddGroup namespace NonarchimedeanGroup variable {G : Type*} [Group G] [TopologicalSpace G] [NonarchimedeanGroup G] variable {H : Type*} [Group H] [TopologicalSpace H] [TopologicalGroup H] variable {K : Type*} [Group K] [TopologicalSpace K] [NonarchimedeanGroup K] @[to_additive] theorem nonarchimedean_of_emb (f : G →* H) (emb : OpenEmbedding f) : NonarchimedeanGroup H := { is_nonarchimedean := fun U hU => have h₁ : f ⁻¹' U ∈ 𝓝 (1 : G) := by apply emb.continuous.tendsto rwa [f.map_one] let ⟨V, hV⟩ := is_nonarchimedean (f ⁻¹' U) h₁ ⟨{ Subgroup.map f V with isOpen' := emb.isOpenMap _ V.isOpen }, Set.image_subset_iff.2 hV⟩ } #align nonarchimedean_group.nonarchimedean_of_emb NonarchimedeanGroup.nonarchimedean_of_emb #align nonarchimedean_add_group.nonarchimedean_of_emb NonarchimedeanAddGroup.nonarchimedean_of_emb @[to_additive NonarchimedeanAddGroup.prod_subset "An open neighborhood of the identity in the cartesian product of two nonarchimedean groups contains the cartesian product of an open neighborhood in each group."]
Mathlib/Topology/Algebra/Nonarchimedean/Basic.lean
84
93
theorem prod_subset {U} (hU : U ∈ 𝓝 (1 : G × K)) : ∃ (V : OpenSubgroup G) (W : OpenSubgroup K), (V : Set G) ×ˢ (W : Set K) ⊆ U := by
erw [nhds_prod_eq, Filter.mem_prod_iff] at hU rcases hU with ⟨U₁, hU₁, U₂, hU₂, h⟩ cases' is_nonarchimedean _ hU₁ with V hV cases' is_nonarchimedean _ hU₂ with W hW use V; use W rw [Set.prod_subset_iff] intro x hX y hY exact Set.Subset.trans (Set.prod_mono hV hW) h (Set.mem_sep hX hY)
8
import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.compression.uv from "leanprover-community/mathlib"@"6f8ab7de1c4b78a68ab8cf7dd83d549eb78a68a1" open Finset variable {α : Type*} theorem sup_sdiff_injOn [GeneralizedBooleanAlgebra α] (u v : α) : { x | Disjoint u x ∧ v ≤ x }.InjOn fun x => (x ⊔ u) \ v := by rintro a ha b hb hab have h : ((a ⊔ u) \ v) \ u ⊔ v = ((b ⊔ u) \ v) \ u ⊔ v := by dsimp at hab rw [hab] rwa [sdiff_sdiff_comm, ha.1.symm.sup_sdiff_cancel_right, sdiff_sdiff_comm, hb.1.symm.sup_sdiff_cancel_right, sdiff_sup_cancel ha.2, sdiff_sup_cancel hb.2] at h #align sup_sdiff_inj_on sup_sdiff_injOn -- The namespace is here to distinguish from other compressions. namespace UV section GeneralizedBooleanAlgebra variable [GeneralizedBooleanAlgebra α] [DecidableRel (@Disjoint α _ _)] [DecidableRel ((· ≤ ·) : α → α → Prop)] {s : Finset α} {u v a b : α} def compress (u v a : α) : α := if Disjoint u a ∧ v ≤ a then (a ⊔ u) \ v else a #align uv.compress UV.compress theorem compress_of_disjoint_of_le (hua : Disjoint u a) (hva : v ≤ a) : compress u v a = (a ⊔ u) \ v := if_pos ⟨hua, hva⟩ #align uv.compress_of_disjoint_of_le UV.compress_of_disjoint_of_le theorem compress_of_disjoint_of_le' (hva : Disjoint v a) (hua : u ≤ a) : compress u v ((a ⊔ v) \ u) = a := by rw [compress_of_disjoint_of_le disjoint_sdiff_self_right (le_sdiff.2 ⟨(le_sup_right : v ≤ a ⊔ v), hva.mono_right hua⟩), sdiff_sup_cancel (le_sup_of_le_left hua), hva.symm.sup_sdiff_cancel_right] #align uv.compress_of_disjoint_of_le' UV.compress_of_disjoint_of_le' @[simp] theorem compress_self (u a : α) : compress u u a = a := by unfold compress split_ifs with h · exact h.1.symm.sup_sdiff_cancel_right · rfl #align uv.compress_self UV.compress_self @[simp] theorem compress_sdiff_sdiff (a b : α) : compress (a \ b) (b \ a) b = a := by refine (compress_of_disjoint_of_le disjoint_sdiff_self_left sdiff_le).trans ?_ rw [sup_sdiff_self_right, sup_sdiff, disjoint_sdiff_self_right.sdiff_eq_left, sup_eq_right] exact sdiff_sdiff_le #align uv.compress_sdiff_sdiff UV.compress_sdiff_sdiff @[simp] theorem compress_idem (u v a : α) : compress u v (compress u v a) = compress u v a := by unfold compress split_ifs with h h' · rw [le_sdiff_iff.1 h'.2, sdiff_bot, sdiff_bot, sup_assoc, sup_idem] · rfl · rfl #align uv.compress_idem UV.compress_idem variable [DecidableEq α] def compression (u v : α) (s : Finset α) := (s.filter (compress u v · ∈ s)) ∪ (s.image <| compress u v).filter (· ∉ s) #align uv.compression UV.compression @[inherit_doc] scoped[FinsetFamily] notation "𝓒 " => UV.compression open scoped FinsetFamily def IsCompressed (u v : α) (s : Finset α) := 𝓒 u v s = s #align uv.is_compressed UV.IsCompressed theorem compress_injOn : Set.InjOn (compress u v) ↑(s.filter (compress u v · ∉ s)) := by intro a ha b hb hab rw [mem_coe, mem_filter] at ha hb rw [compress] at ha hab split_ifs at ha hab with has · rw [compress] at hb hab split_ifs at hb hab with hbs · exact sup_sdiff_injOn u v has hbs hab · exact (hb.2 hb.1).elim · exact (ha.2 ha.1).elim #align uv.compress_inj_on UV.compress_injOn theorem mem_compression : a ∈ 𝓒 u v s ↔ a ∈ s ∧ compress u v a ∈ s ∨ a ∉ s ∧ ∃ b ∈ s, compress u v b = a := by simp_rw [compression, mem_union, mem_filter, mem_image, and_comm] #align uv.mem_compression UV.mem_compression protected theorem IsCompressed.eq (h : IsCompressed u v s) : 𝓒 u v s = s := h #align uv.is_compressed.eq UV.IsCompressed.eq @[simp]
Mathlib/Combinatorics/SetFamily/Compression/UV.lean
165
173
theorem compression_self (u : α) (s : Finset α) : 𝓒 u u s = s := by
unfold compression convert union_empty s · ext a rw [mem_filter, compress_self, and_self_iff] · refine eq_empty_of_forall_not_mem fun a ha ↦ ?_ simp_rw [mem_filter, mem_image, compress_self] at ha obtain ⟨⟨b, hb, rfl⟩, hb'⟩ := ha exact hb' hb
8
import Mathlib.Topology.MetricSpace.Isometry #align_import topology.metric_space.gluing from "leanprover-community/mathlib"@"e1a7bdeb4fd826b7e71d130d34988f0a2d26a177" noncomputable section universe u v w open Function Set Uniformity Topology namespace Metric section ApproxGluing variable {X : Type u} {Y : Type v} {Z : Type w} variable [MetricSpace X] [MetricSpace Y] {Φ : Z → X} {Ψ : Z → Y} {ε : ℝ} def glueDist (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) : Sum X Y → Sum X Y → ℝ | .inl x, .inl y => dist x y | .inr x, .inr y => dist x y | .inl x, .inr y => (⨅ p, dist x (Φ p) + dist y (Ψ p)) + ε | .inr x, .inl y => (⨅ p, dist y (Φ p) + dist x (Ψ p)) + ε #align metric.glue_dist Metric.glueDist private theorem glueDist_self (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) : ∀ x, glueDist Φ Ψ ε x x = 0 | .inl _ => dist_self _ | .inr _ => dist_self _
Mathlib/Topology/MetricSpace/Gluing.lean
76
85
theorem glueDist_glued_points [Nonempty Z] (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (p : Z) : glueDist Φ Ψ ε (.inl (Φ p)) (.inr (Ψ p)) = ε := by
have : ⨅ q, dist (Φ p) (Φ q) + dist (Ψ p) (Ψ q) = 0 := by have A : ∀ q, 0 ≤ dist (Φ p) (Φ q) + dist (Ψ p) (Ψ q) := fun _ => add_nonneg dist_nonneg dist_nonneg refine le_antisymm ?_ (le_ciInf A) have : 0 = dist (Φ p) (Φ p) + dist (Ψ p) (Ψ p) := by simp rw [this] exact ciInf_le ⟨0, forall_mem_range.2 A⟩ p simp only [glueDist, this, zero_add]
8
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne] #align mem_ℓp_gen_iff memℓp_gen_iff theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _) · apply memℓp_infty have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove exact (memℓp_gen_iff hp).2 hf #align mem_ℓp_gen memℓp_gen theorem memℓp_gen' {C : ℝ} {f : ∀ i, E i} (hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C) : Memℓp f p := by apply memℓp_gen use ⨆ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal apply hasSum_of_isLUB_of_nonneg · intro b exact Real.rpow_nonneg (norm_nonneg _) _ apply isLUB_ciSup use C rintro - ⟨s, rfl⟩ exact hf s #align mem_ℓp_gen' memℓp_gen'
Mathlib/Analysis/NormedSpace/lpSpace.lean
130
138
theorem zero_memℓp : Memℓp (0 : ∀ i, E i) p := by
rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero simp · apply memℓp_infty simp only [norm_zero, Pi.zero_apply] exact bddAbove_singleton.mono Set.range_const_subset · apply memℓp_gen simp [Real.zero_rpow hp.ne', summable_zero]
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import Mathlib.Algebra.GeomSum import Mathlib.Algebra.Polynomial.Roots import Mathlib.GroupTheory.SpecificGroups.Cyclic #align_import ring_theory.integral_domain from "leanprover-community/mathlib"@"6e70e0d419bf686784937d64ed4bfde866ff229e" section open Finset Polynomial Function Nat section CancelMonoidWithZero -- There doesn't seem to be a better home for these right now variable {M : Type*} [CancelMonoidWithZero M] [Finite M] theorem mul_right_bijective_of_finite₀ {a : M} (ha : a ≠ 0) : Bijective fun b => a * b := Finite.injective_iff_bijective.1 <| mul_right_injective₀ ha #align mul_right_bijective_of_finite₀ mul_right_bijective_of_finite₀ theorem mul_left_bijective_of_finite₀ {a : M} (ha : a ≠ 0) : Bijective fun b => b * a := Finite.injective_iff_bijective.1 <| mul_left_injective₀ ha #align mul_left_bijective_of_finite₀ mul_left_bijective_of_finite₀ def Fintype.groupWithZeroOfCancel (M : Type*) [CancelMonoidWithZero M] [DecidableEq M] [Fintype M] [Nontrivial M] : GroupWithZero M := { ‹Nontrivial M›, ‹CancelMonoidWithZero M› with inv := fun a => if h : a = 0 then 0 else Fintype.bijInv (mul_right_bijective_of_finite₀ h) 1 mul_inv_cancel := fun a ha => by simp only [Inv.inv, dif_neg ha] exact Fintype.rightInverse_bijInv _ _ inv_zero := by simp [Inv.inv, dif_pos rfl] } #align fintype.group_with_zero_of_cancel Fintype.groupWithZeroOfCancel theorem exists_eq_pow_of_mul_eq_pow_of_coprime {R : Type*} [CommSemiring R] [IsDomain R] [GCDMonoid R] [Unique Rˣ] {a b c : R} {n : ℕ} (cp : IsCoprime a b) (h : a * b = c ^ n) : ∃ d : R, a = d ^ n := by refine exists_eq_pow_of_mul_eq_pow (isUnit_of_dvd_one ?_) h obtain ⟨x, y, hxy⟩ := cp rw [← hxy] exact -- Porting note: added `GCDMonoid.` twice dvd_add (dvd_mul_of_dvd_right (GCDMonoid.gcd_dvd_left _ _) _) (dvd_mul_of_dvd_right (GCDMonoid.gcd_dvd_right _ _) _) #align exists_eq_pow_of_mul_eq_pow_of_coprime exists_eq_pow_of_mul_eq_pow_of_coprime nonrec
Mathlib/RingTheory/IntegralDomain.lean
73
84
theorem Finset.exists_eq_pow_of_mul_eq_pow_of_coprime {ι R : Type*} [CommSemiring R] [IsDomain R] [GCDMonoid R] [Unique Rˣ] {n : ℕ} {c : R} {s : Finset ι} {f : ι → R} (h : ∀ i ∈ s, ∀ j ∈ s, i ≠ j → IsCoprime (f i) (f j)) (hprod : ∏ i ∈ s, f i = c ^ n) : ∀ i ∈ s, ∃ d : R, f i = d ^ n := by
classical intro i hi rw [← insert_erase hi, prod_insert (not_mem_erase i s)] at hprod refine exists_eq_pow_of_mul_eq_pow_of_coprime (IsCoprime.prod_right fun j hj => h i hi j (erase_subset i s hj) fun hij => ?_) hprod rw [hij] at hj exact (s.not_mem_erase _) hj
8
import Mathlib.Algebra.Polynomial.Reverse import Mathlib.Algebra.Regular.SMul #align_import data.polynomial.monic from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5" noncomputable section open Finset open Polynomial namespace Polynomial universe u v y variable {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y} section Semiring variable [Semiring R] {p q r : R[X]} theorem monic_zero_iff_subsingleton : Monic (0 : R[X]) ↔ Subsingleton R := subsingleton_iff_zero_eq_one #align polynomial.monic_zero_iff_subsingleton Polynomial.monic_zero_iff_subsingleton theorem not_monic_zero_iff : ¬Monic (0 : R[X]) ↔ (0 : R) ≠ 1 := (monic_zero_iff_subsingleton.trans subsingleton_iff_zero_eq_one.symm).not #align polynomial.not_monic_zero_iff Polynomial.not_monic_zero_iff theorem monic_zero_iff_subsingleton' : Monic (0 : R[X]) ↔ (∀ f g : R[X], f = g) ∧ ∀ a b : R, a = b := Polynomial.monic_zero_iff_subsingleton.trans ⟨by intro simp [eq_iff_true_of_subsingleton], fun h => subsingleton_iff.mpr h.2⟩ #align polynomial.monic_zero_iff_subsingleton' Polynomial.monic_zero_iff_subsingleton' theorem Monic.as_sum (hp : p.Monic) : p = X ^ p.natDegree + ∑ i ∈ range p.natDegree, C (p.coeff i) * X ^ i := by conv_lhs => rw [p.as_sum_range_C_mul_X_pow, sum_range_succ_comm] suffices C (p.coeff p.natDegree) = 1 by rw [this, one_mul] exact congr_arg C hp #align polynomial.monic.as_sum Polynomial.Monic.as_sum theorem ne_zero_of_ne_zero_of_monic (hp : p ≠ 0) (hq : Monic q) : q ≠ 0 := by rintro rfl rw [Monic.def, leadingCoeff_zero] at hq rw [← mul_one p, ← C_1, ← hq, C_0, mul_zero] at hp exact hp rfl #align polynomial.ne_zero_of_ne_zero_of_monic Polynomial.ne_zero_of_ne_zero_of_monic
Mathlib/Algebra/Polynomial/Monic.lean
65
73
theorem Monic.map [Semiring S] (f : R →+* S) (hp : Monic p) : Monic (p.map f) := by
unfold Monic nontriviality have : f p.leadingCoeff ≠ 0 := by rw [show _ = _ from hp, f.map_one] exact one_ne_zero rw [Polynomial.leadingCoeff, coeff_map] suffices p.coeff (p.map f).natDegree = 1 by simp [this] rwa [natDegree_eq_of_degree_eq (degree_map_eq_of_leadingCoeff_ne_zero f this)]
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import Mathlib.Algebra.CharP.LocalRing import Mathlib.RingTheory.Ideal.Quotient import Mathlib.Tactic.FieldSimp #align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" variable (R : Type*) [CommRing R] class MixedCharZero (p : ℕ) : Prop where [toCharZero : CharZero R] charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p #align mixed_char_zero MixedCharZero namespace EqualCharZero
Mathlib/Algebra/CharP/MixedCharZero.lean
161
169
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI constructor intro a b h_ab contrapose! hI -- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`. refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_)) · simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast] simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
8
import Mathlib.Analysis.Normed.Field.Basic #align_import topology.metric_space.cau_seq_filter from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Set Filter open scoped Classical open Topology variable {β : Type v} theorem CauSeq.tendsto_limit [NormedRing β] [hn : IsAbsoluteValue (norm : β → ℝ)] (f : CauSeq β norm) [CauSeq.IsComplete β norm] : Tendsto f atTop (𝓝 f.lim) := tendsto_nhds.mpr (by intro s os lfs suffices ∃ a : ℕ, ∀ b : ℕ, b ≥ a → f b ∈ s by simpa using this rcases Metric.isOpen_iff.1 os _ lfs with ⟨ε, ⟨hε, hεs⟩⟩ cases' Setoid.symm (CauSeq.equiv_lim f) _ hε with N hN exists N intro b hb apply hεs dsimp [Metric.ball] rw [dist_comm, dist_eq_norm] solve_by_elim) #align cau_seq.tendsto_limit CauSeq.tendsto_limit variable [NormedField β] open Metric
Mathlib/Topology/MetricSpace/CauSeqFilter.lean
55
64
theorem CauchySeq.isCauSeq {f : ℕ → β} (hf : CauchySeq f) : IsCauSeq norm f := by
cases' cauchy_iff.1 hf with hf1 hf2 intro ε hε rcases hf2 { x | dist x.1 x.2 < ε } (dist_mem_uniformity hε) with ⟨t, ⟨ht, htsub⟩⟩ simp only [mem_map, mem_atTop_sets, ge_iff_le, mem_preimage] at ht; cases' ht with N hN exists N intro j hj rw [← dist_eq_norm] apply @htsub (f j, f N) apply Set.mk_mem_prod <;> solve_by_elim [le_refl]
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import Mathlib.Data.Finsupp.Multiset import Mathlib.Order.Bounded import Mathlib.SetTheory.Cardinal.PartENat import Mathlib.SetTheory.Ordinal.Principal import Mathlib.Tactic.Linarith #align_import set_theory.cardinal.ordinal from "leanprover-community/mathlib"@"7c2ce0c2da15516b4e65d0c9e254bb6dc93abd1f" noncomputable section open Function Set Cardinal Equiv Order Ordinal open scoped Classical universe u v w namespace Cardinal section UsingOrdinals
Mathlib/SetTheory/Cardinal/Ordinal.lean
61
70
theorem ord_isLimit {c} (co : ℵ₀ ≤ c) : (ord c).IsLimit := by
refine ⟨fun h => aleph0_ne_zero ?_, fun a => lt_imp_lt_of_le_imp_le fun h => ?_⟩ · rw [← Ordinal.le_zero, ord_le] at h simpa only [card_zero, nonpos_iff_eq_zero] using co.trans h · rw [ord_le] at h ⊢ rwa [← @add_one_of_aleph0_le (card a), ← card_succ] rw [← ord_le, ← le_succ_of_isLimit, ord_le] · exact co.trans h · rw [ord_aleph0] exact omega_isLimit
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import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.Equicontinuity import Mathlib.Topology.Separation import Mathlib.Topology.Support #align_import topology.uniform_space.compact from "leanprover-community/mathlib"@"735b22f8f9ff9792cf4212d7cb051c4c994bc685" open scoped Classical open Uniformity Topology Filter UniformSpace Set variable {α β γ : Type*} [UniformSpace α] [UniformSpace β]
Mathlib/Topology/UniformSpace/Compact.lean
51
60
theorem nhdsSet_diagonal_eq_uniformity [CompactSpace α] : 𝓝ˢ (diagonal α) = 𝓤 α := by
refine nhdsSet_diagonal_le_uniformity.antisymm ?_ have : (𝓤 (α × α)).HasBasis (fun U => U ∈ 𝓤 α) fun U => (fun p : (α × α) × α × α => ((p.1.1, p.2.1), p.1.2, p.2.2)) ⁻¹' U ×ˢ U := by rw [uniformity_prod_eq_comap_prod] exact (𝓤 α).basis_sets.prod_self.comap _ refine (isCompact_diagonal.nhdsSet_basis_uniformity this).ge_iff.2 fun U hU => ?_ exact mem_of_superset hU fun ⟨x, y⟩ hxy => mem_iUnion₂.2 ⟨(x, x), rfl, refl_mem_uniformity hU, hxy⟩
9
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
Mathlib/Data/Nat/Digits.lean
143
153
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
9
import Mathlib.Topology.Constructions import Mathlib.Topology.ContinuousOn #align_import topology.bases from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4" open Set Filter Function Topology noncomputable section namespace TopologicalSpace universe u variable {α : Type u} {β : Type*} [t : TopologicalSpace α] {B : Set (Set α)} {s : Set α} structure IsTopologicalBasis (s : Set (Set α)) : Prop where exists_subset_inter : ∀ t₁ ∈ s, ∀ t₂ ∈ s, ∀ x ∈ t₁ ∩ t₂, ∃ t₃ ∈ s, x ∈ t₃ ∧ t₃ ⊆ t₁ ∩ t₂ sUnion_eq : ⋃₀ s = univ eq_generateFrom : t = generateFrom s #align topological_space.is_topological_basis TopologicalSpace.IsTopologicalBasis theorem IsTopologicalBasis.insert_empty {s : Set (Set α)} (h : IsTopologicalBasis s) : IsTopologicalBasis (insert ∅ s) := by refine ⟨?_, by rw [sUnion_insert, empty_union, h.sUnion_eq], ?_⟩ · rintro t₁ (rfl | h₁) t₂ (rfl | h₂) x ⟨hx₁, hx₂⟩ · cases hx₁ · cases hx₁ · cases hx₂ · obtain ⟨t₃, h₃, hs⟩ := h.exists_subset_inter _ h₁ _ h₂ x ⟨hx₁, hx₂⟩ exact ⟨t₃, .inr h₃, hs⟩ · rw [h.eq_generateFrom] refine le_antisymm (le_generateFrom fun t => ?_) (generateFrom_anti <| subset_insert ∅ s) rintro (rfl | ht) · exact @isOpen_empty _ (generateFrom s) · exact .basic t ht #align topological_space.is_topological_basis.insert_empty TopologicalSpace.IsTopologicalBasis.insert_empty
Mathlib/Topology/Bases.lean
93
103
theorem IsTopologicalBasis.diff_empty {s : Set (Set α)} (h : IsTopologicalBasis s) : IsTopologicalBasis (s \ {∅}) := by
refine ⟨?_, by rw [sUnion_diff_singleton_empty, h.sUnion_eq], ?_⟩ · rintro t₁ ⟨h₁, -⟩ t₂ ⟨h₂, -⟩ x hx obtain ⟨t₃, h₃, hs⟩ := h.exists_subset_inter _ h₁ _ h₂ x hx exact ⟨t₃, ⟨h₃, Nonempty.ne_empty ⟨x, hs.1⟩⟩, hs⟩ · rw [h.eq_generateFrom] refine le_antisymm (generateFrom_anti diff_subset) (le_generateFrom fun t ht => ?_) obtain rfl | he := eq_or_ne t ∅ · exact @isOpen_empty _ (generateFrom _) · exact .basic t ⟨ht, he⟩
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import Mathlib.Data.Num.Lemmas import Mathlib.Data.Nat.Prime import Mathlib.Tactic.Ring #align_import data.num.prime from "leanprover-community/mathlib"@"58581d0fe523063f5651df0619be2bf65012a94a" namespace PosNum def minFacAux (n : PosNum) : ℕ → PosNum → PosNum | 0, _ => n | fuel + 1, k => if n < k.bit1 * k.bit1 then n else if k.bit1 ∣ n then k.bit1 else minFacAux n fuel k.succ #align pos_num.min_fac_aux PosNum.minFacAux set_option linter.deprecated false in
Mathlib/Data/Num/Prime.lean
44
54
theorem minFacAux_to_nat {fuel : ℕ} {n k : PosNum} (h : Nat.sqrt n < fuel + k.bit1) : (minFacAux n fuel k : ℕ) = Nat.minFacAux n k.bit1 := by
induction' fuel with fuel ih generalizing k <;> rw [minFacAux, Nat.minFacAux] · rw [Nat.zero_add, Nat.sqrt_lt] at h simp only [h, ite_true] simp_rw [← mul_to_nat] simp only [cast_lt, dvd_to_nat] split_ifs <;> try rfl rw [ih] <;> [congr; convert Nat.lt_succ_of_lt h using 1] <;> simp only [_root_.bit1, _root_.bit0, cast_bit1, cast_succ, Nat.succ_eq_add_one, add_assoc, add_left_comm, ← one_add_one_eq_two]
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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 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 _)] def gaugeRescaleEquiv (s t : Set E) (hsa : Absorbent ℝ s) (hsb : IsVonNBounded ℝ s) (hta : Absorbent ℝ t) (htb : IsVonNBounded ℝ t) : E ≃ E where toFun := gaugeRescale s t invFun := gaugeRescale t s left_inv x := by rw [gaugeRescale_gaugeRescale, gaugeRescale_self_apply] <;> assumption right_inv x := by rw [gaugeRescale_gaugeRescale, gaugeRescale_self_apply] <;> assumption variable [TopologicalAddGroup E] [ContinuousSMul ℝ E] {s t : Set E} theorem mapsTo_gaugeRescale_interior (h₀ : t ∈ 𝓝 0) (hc : Convex ℝ t) : MapsTo (gaugeRescale s t) (interior s) (interior t) := fun x hx ↦ by rw [← gauge_lt_one_iff_mem_interior] <;> try assumption exact (gauge_gaugeRescale_le _ _ _).trans_lt (interior_subset_gauge_lt_one _ hx) theorem mapsTo_gaugeRescale_closure {s t : Set E} (hsc : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) (htc : Convex ℝ t) (ht₀ : 0 ∈ t) (hta : Absorbent ℝ t) : MapsTo (gaugeRescale s t) (closure s) (closure t) := fun _x hx ↦ mem_closure_of_gauge_le_one htc ht₀ hta <| (gauge_gaugeRescale_le _ _ _).trans <| (gauge_le_one_iff_mem_closure hsc hs₀).2 hx
Mathlib/Analysis/Convex/GaugeRescale.lean
103
114
theorem continuous_gaugeRescale {s t : Set E} (hs : Convex ℝ s) (hs₀ : s ∈ 𝓝 0) (ht : Convex ℝ t) (ht₀ : t ∈ 𝓝 0) (htb : IsVonNBounded ℝ t) : Continuous (gaugeRescale s t) := by
have hta : Absorbent ℝ t := absorbent_nhds_zero ht₀ refine continuous_iff_continuousAt.2 fun x ↦ ?_ rcases eq_or_ne x 0 with rfl | hx · rw [ContinuousAt, gaugeRescale_zero] nth_rewrite 2 [← comap_gauge_nhds_zero htb ht₀] simp only [tendsto_comap_iff, (· ∘ ·), gauge_gaugeRescale _ hta htb] exact tendsto_gauge_nhds_zero hs₀ · exact ((continuousAt_gauge hs hs₀).div (continuousAt_gauge ht ht₀) ((gauge_pos hta htb).2 hx).ne').smul continuousAt_id
9
import Mathlib.Topology.Bases import Mathlib.Topology.DenseEmbedding #align_import topology.stone_cech from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" noncomputable section open Filter Set open Topology universe u v section Ultrafilter def ultrafilterBasis (α : Type u) : Set (Set (Ultrafilter α)) := range fun s : Set α => { u | s ∈ u } #align ultrafilter_basis ultrafilterBasis variable {α : Type u} instance Ultrafilter.topologicalSpace : TopologicalSpace (Ultrafilter α) := TopologicalSpace.generateFrom (ultrafilterBasis α) #align ultrafilter.topological_space Ultrafilter.topologicalSpace theorem ultrafilterBasis_is_basis : TopologicalSpace.IsTopologicalBasis (ultrafilterBasis α) := ⟨by rintro _ ⟨a, rfl⟩ _ ⟨b, rfl⟩ u ⟨ua, ub⟩ refine ⟨_, ⟨a ∩ b, rfl⟩, inter_mem ua ub, fun v hv => ⟨?_, ?_⟩⟩ <;> apply mem_of_superset hv <;> simp [inter_subset_right], eq_univ_of_univ_subset <| subset_sUnion_of_mem <| ⟨univ, eq_univ_of_forall fun u => univ_mem⟩, rfl⟩ #align ultrafilter_basis_is_basis ultrafilterBasis_is_basis theorem ultrafilter_isOpen_basic (s : Set α) : IsOpen { u : Ultrafilter α | s ∈ u } := ultrafilterBasis_is_basis.isOpen ⟨s, rfl⟩ #align ultrafilter_is_open_basic ultrafilter_isOpen_basic theorem ultrafilter_isClosed_basic (s : Set α) : IsClosed { u : Ultrafilter α | s ∈ u } := by rw [← isOpen_compl_iff] convert ultrafilter_isOpen_basic sᶜ using 1 ext u exact Ultrafilter.compl_mem_iff_not_mem.symm #align ultrafilter_is_closed_basic ultrafilter_isClosed_basic
Mathlib/Topology/StoneCech.lean
67
77
theorem ultrafilter_converges_iff {u : Ultrafilter (Ultrafilter α)} {x : Ultrafilter α} : ↑u ≤ 𝓝 x ↔ x = joinM u := by
rw [eq_comm, ← Ultrafilter.coe_le_coe] change ↑u ≤ 𝓝 x ↔ ∀ s ∈ x, { v : Ultrafilter α | s ∈ v } ∈ u simp only [TopologicalSpace.nhds_generateFrom, le_iInf_iff, ultrafilterBasis, le_principal_iff, mem_setOf_eq] constructor · intro h a ha exact h _ ⟨ha, a, rfl⟩ · rintro h a ⟨xi, a, rfl⟩ exact h _ xi
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import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Tactic.Ring #align_import data.nat.hyperoperation from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" def hyperoperation : ℕ → ℕ → ℕ → ℕ | 0, _, k => k + 1 | 1, m, 0 => m | 2, _, 0 => 0 | _ + 3, _, 0 => 1 | n + 1, m, k + 1 => hyperoperation n m (hyperoperation (n + 1) m k) #align hyperoperation hyperoperation -- Basic hyperoperation lemmas @[simp] theorem hyperoperation_zero (m : ℕ) : hyperoperation 0 m = Nat.succ := funext fun k => by rw [hyperoperation, Nat.succ_eq_add_one] #align hyperoperation_zero hyperoperation_zero theorem hyperoperation_ge_three_eq_one (n m : ℕ) : hyperoperation (n + 3) m 0 = 1 := by rw [hyperoperation] #align hyperoperation_ge_three_eq_one hyperoperation_ge_three_eq_one theorem hyperoperation_recursion (n m k : ℕ) : hyperoperation (n + 1) m (k + 1) = hyperoperation n m (hyperoperation (n + 1) m k) := by rw [hyperoperation] #align hyperoperation_recursion hyperoperation_recursion -- Interesting hyperoperation lemmas @[simp] theorem hyperoperation_one : hyperoperation 1 = (· + ·) := by ext m k induction' k with bn bih · rw [Nat.add_zero m, hyperoperation] · rw [hyperoperation_recursion, bih, hyperoperation_zero] exact Nat.add_assoc m bn 1 #align hyperoperation_one hyperoperation_one @[simp]
Mathlib/Data/Nat/Hyperoperation.lean
69
78
theorem hyperoperation_two : hyperoperation 2 = (· * ·) := by
ext m k induction' k with bn bih · rw [hyperoperation] exact (Nat.mul_zero m).symm · rw [hyperoperation_recursion, hyperoperation_one, bih] -- Porting note: was `ring` dsimp only nth_rewrite 1 [← mul_one m] rw [← mul_add, add_comm]
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import Mathlib.CategoryTheory.Adjunction.Whiskering import Mathlib.CategoryTheory.Sites.PreservesSheafification #align_import category_theory.sites.adjunction from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory open GrothendieckTopology CategoryTheory Limits Opposite universe v u variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C) variable {D : Type*} [Category D] variable {E : Type*} [Category E] variable {F : D ⥤ E} {G : E ⥤ D} variable [HasWeakSheafify J D] abbrev sheafForget [ConcreteCategory D] [HasSheafCompose J (forget D)] : Sheaf J D ⥤ SheafOfTypes J := sheafCompose J (forget D) ⋙ (sheafEquivSheafOfTypes J).functor set_option linter.uppercaseLean3 false in #align category_theory.Sheaf_forget CategoryTheory.sheafForget namespace Sheaf noncomputable section @[simps] def composeEquiv [HasSheafCompose J F] (adj : G ⊣ F) (X : Sheaf J E) (Y : Sheaf J D) : ((composeAndSheafify J G).obj X ⟶ Y) ≃ (X ⟶ (sheafCompose J F).obj Y) := let A := adj.whiskerRight Cᵒᵖ { toFun := fun η => ⟨A.homEquiv _ _ (toSheafify J _ ≫ η.val)⟩ invFun := fun γ => ⟨sheafifyLift J ((A.homEquiv _ _).symm ((sheafToPresheaf _ _).map γ)) Y.2⟩ left_inv := by intro η ext1 dsimp symm apply sheafifyLift_unique rw [Equiv.symm_apply_apply] right_inv := by intro γ ext1 dsimp -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [toSheafify_sheafifyLift, Equiv.apply_symm_apply] } set_option linter.uppercaseLean3 false in #align category_theory.Sheaf.compose_equiv CategoryTheory.Sheaf.composeEquiv -- These lemmas have always been bad (#7657), but leanprover/lean4#2644 made `simp` start noticing attribute [nolint simpNF] CategoryTheory.Sheaf.composeEquiv_apply_val CategoryTheory.Sheaf.composeEquiv_symm_apply_val @[simps! unit_app_val counit_app_val] def adjunction [HasSheafCompose J F] (adj : G ⊣ F) : composeAndSheafify J G ⊣ sheafCompose J F := Adjunction.mkOfHomEquiv { homEquiv := composeEquiv J adj homEquiv_naturality_left_symm := fun f g => by ext1 dsimp [composeEquiv] rw [sheafifyMap_sheafifyLift] erw [Adjunction.homEquiv_naturality_left_symm] rw [whiskeringRight_obj_map] rfl homEquiv_naturality_right := fun f g => by ext dsimp [composeEquiv] erw [Adjunction.homEquiv_unit, Adjunction.homEquiv_unit] dsimp simp } set_option linter.uppercaseLean3 false in #align category_theory.Sheaf.adjunction CategoryTheory.Sheaf.adjunction instance [F.IsRightAdjoint] : (sheafCompose J F).IsRightAdjoint := (adjunction J (Adjunction.ofIsRightAdjoint F)).isRightAdjoint instance [G.IsLeftAdjoint] : (composeAndSheafify J G).IsLeftAdjoint := (adjunction J (Adjunction.ofIsLeftAdjoint G)).isLeftAdjoint lemma preservesSheafification_of_adjunction (adj : G ⊣ F) : J.PreservesSheafification G where le P Q f hf := by have := adj.isRightAdjoint rw [MorphismProperty.inverseImage_iff] dsimp intro R hR rw [← ((adj.whiskerRight Cᵒᵖ).homEquiv P R).comp_bijective] convert (((adj.whiskerRight Cᵒᵖ).homEquiv Q R).trans (hf.homEquiv (R ⋙ F) ((sheafCompose J F).obj ⟨R, hR⟩).cond)).bijective ext g X dsimp [Adjunction.whiskerRight, Adjunction.mkOfUnitCounit] simp instance [G.IsLeftAdjoint] : J.PreservesSheafification G := preservesSheafification_of_adjunction J (Adjunction.ofIsLeftAdjoint G) section ForgetToType variable [ConcreteCategory D] [HasSheafCompose J (forget D)] abbrev composeAndSheafifyFromTypes (G : Type max v u ⥤ D) : SheafOfTypes J ⥤ Sheaf J D := (sheafEquivSheafOfTypes J).inverse ⋙ composeAndSheafify _ G set_option linter.uppercaseLean3 false in #align category_theory.Sheaf.compose_and_sheafify_from_types CategoryTheory.Sheaf.composeAndSheafifyFromTypes def adjunctionToTypes {G : Type max v u ⥤ D} (adj : G ⊣ forget D) : composeAndSheafifyFromTypes J G ⊣ sheafForget J := (sheafEquivSheafOfTypes J).symm.toAdjunction.comp (adjunction J adj) set_option linter.uppercaseLean3 false in #align category_theory.Sheaf.adjunction_to_types CategoryTheory.Sheaf.adjunctionToTypes @[simp] theorem adjunctionToTypes_unit_app_val {G : Type max v u ⥤ D} (adj : G ⊣ forget D) (Y : SheafOfTypes J) : ((adjunctionToTypes J adj).unit.app Y).val = (adj.whiskerRight _).unit.app ((sheafOfTypesToPresheaf J).obj Y) ≫ whiskerRight (toSheafify J _) (forget D) := by dsimp [adjunctionToTypes, Adjunction.comp] simp rfl set_option linter.uppercaseLean3 false in #align category_theory.Sheaf.adjunction_to_types_unit_app_val CategoryTheory.Sheaf.adjunctionToTypes_unit_app_val @[simp]
Mathlib/CategoryTheory/Sites/Adjunction.lean
148
160
theorem adjunctionToTypes_counit_app_val {G : Type max v u ⥤ D} (adj : G ⊣ forget D) (X : Sheaf J D) : ((adjunctionToTypes J adj).counit.app X).val = sheafifyLift J ((Functor.associator _ _ _).hom ≫ (adj.whiskerRight _).counit.app _) X.2 := by
apply sheafifyLift_unique dsimp only [adjunctionToTypes, Adjunction.comp, NatTrans.comp_app, instCategorySheaf_comp_val, instCategorySheaf_id_val] rw [adjunction_counit_app_val] erw [Category.id_comp, sheafifyMap_sheafifyLift, toSheafify_sheafifyLift] ext dsimp [sheafEquivSheafOfTypes, Equivalence.symm, Equivalence.toAdjunction, NatIso.ofComponents, Adjunction.whiskerRight, Adjunction.mkOfUnitCounit] simp
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import Mathlib.Algebra.IsPrimePow import Mathlib.Data.Nat.Factorization.Basic #align_import data.nat.factorization.prime_pow from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" variable {R : Type*} [CommMonoidWithZero R] (n p : R) (k : ℕ) theorem IsPrimePow.minFac_pow_factorization_eq {n : ℕ} (hn : IsPrimePow n) : n.minFac ^ n.factorization n.minFac = n := by obtain ⟨p, k, hp, hk, rfl⟩ := hn rw [← Nat.prime_iff] at hp rw [hp.pow_minFac hk.ne', hp.factorization_pow, Finsupp.single_eq_same] #align is_prime_pow.min_fac_pow_factorization_eq IsPrimePow.minFac_pow_factorization_eq theorem isPrimePow_of_minFac_pow_factorization_eq {n : ℕ} (h : n.minFac ^ n.factorization n.minFac = n) (hn : n ≠ 1) : IsPrimePow n := by rcases eq_or_ne n 0 with (rfl | hn') · simp_all refine ⟨_, _, (Nat.minFac_prime hn).prime, ?_, h⟩ simp [pos_iff_ne_zero, ← Finsupp.mem_support_iff, Nat.support_factorization, hn', Nat.minFac_prime hn, Nat.minFac_dvd] #align is_prime_pow_of_min_fac_pow_factorization_eq isPrimePow_of_minFac_pow_factorization_eq theorem isPrimePow_iff_minFac_pow_factorization_eq {n : ℕ} (hn : n ≠ 1) : IsPrimePow n ↔ n.minFac ^ n.factorization n.minFac = n := ⟨fun h => h.minFac_pow_factorization_eq, fun h => isPrimePow_of_minFac_pow_factorization_eq h hn⟩ #align is_prime_pow_iff_min_fac_pow_factorization_eq isPrimePow_iff_minFac_pow_factorization_eq theorem isPrimePow_iff_factorization_eq_single {n : ℕ} : IsPrimePow n ↔ ∃ p k : ℕ, 0 < k ∧ n.factorization = Finsupp.single p k := by rw [isPrimePow_nat_iff] refine exists₂_congr fun p k => ?_ constructor · rintro ⟨hp, hk, hn⟩ exact ⟨hk, by rw [← hn, Nat.Prime.factorization_pow hp]⟩ · rintro ⟨hk, hn⟩ have hn0 : n ≠ 0 := by rintro rfl simp_all only [Finsupp.single_eq_zero, eq_comm, Nat.factorization_zero, hk.ne'] rw [Nat.eq_pow_of_factorization_eq_single hn0 hn] exact ⟨Nat.prime_of_mem_primeFactors <| Finsupp.mem_support_iff.2 (by simp [hn, hk.ne'] : n.factorization p ≠ 0), hk, rfl⟩ #align is_prime_pow_iff_factorization_eq_single isPrimePow_iff_factorization_eq_single theorem isPrimePow_iff_card_primeFactors_eq_one {n : ℕ} : IsPrimePow n ↔ n.primeFactors.card = 1 := by simp_rw [isPrimePow_iff_factorization_eq_single, ← Nat.support_factorization, Finsupp.card_support_eq_one', pos_iff_ne_zero] #align is_prime_pow_iff_card_support_factorization_eq_one isPrimePow_iff_card_primeFactors_eq_one
Mathlib/Data/Nat/Factorization/PrimePow.lean
63
73
theorem IsPrimePow.exists_ord_compl_eq_one {n : ℕ} (h : IsPrimePow n) : ∃ p : ℕ, p.Prime ∧ ord_compl[p] n = 1 := by
rcases eq_or_ne n 0 with (rfl | hn0); · cases not_isPrimePow_zero h rcases isPrimePow_iff_factorization_eq_single.mp h with ⟨p, k, hk0, h1⟩ rcases em' p.Prime with (pp | pp) · refine absurd ?_ hk0.ne' simp [← Nat.factorization_eq_zero_of_non_prime n pp, h1] refine ⟨p, pp, ?_⟩ refine Nat.eq_of_factorization_eq (Nat.ord_compl_pos p hn0).ne' (by simp) fun q => ?_ rw [Nat.factorization_ord_compl n p, h1] simp
9
import Mathlib.NumberTheory.ZetaValues import Mathlib.NumberTheory.LSeries.RiemannZeta open Complex Real Set open scoped Nat namespace HurwitzZeta variable {k : ℕ} {x : ℝ} theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt] omega theorem sinZeta_two_mul_nat_add_one (hk : k ≠ 0) (hx : x ∈ Icc 0 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k + 1) / 2 / (2 * k + 1)! * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [← (hasSum_nat_sinZeta x (?_ : 1 < re (2 * k + 1))).tsum_eq] refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_sin hk hx).tsum_eq).trans ?_ · rw [ofReal_tsum] refine tsum_congr fun n ↦ ?_ rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc] congr 1 rw [← Nat.cast_ofNat, ← Nat.cast_mul, ← Nat.cast_add_one, cpow_natCast, ofReal_pow, ofReal_natCast] · simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat, ofReal_neg, ofReal_one] congr 1 have : (Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ) = _ := (Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe] apply Polynomial.map_aeval_eq_aeval_map simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq] · rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, ← Nat.cast_add_one, natCast_re, Nat.cast_lt, lt_add_iff_pos_left] exact mul_pos two_pos (Nat.pos_of_ne_zero hk) theorem cosZeta_two_mul_nat' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : cosZeta x (2 * k) = (-1) ^ (k + 1) / (2 * k) / Gammaℂ (2 * k) * ((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by rw [cosZeta_two_mul_nat hk hx] congr 1 have : (2 * k)! = (2 * k) * Complex.Gamma (2 * k) := by rw [(by { norm_cast; omega } : 2 * (k : ℂ) = ↑(2 * k - 1) + 1), Complex.Gamma_nat_eq_factorial, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ, Nat.sub_add_cancel (by omega)] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div, mul_right_comm (2 : ℂ) (k : ℂ)] norm_cast
Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean
113
124
theorem sinZeta_two_mul_nat_add_one' (hk : k ≠ 0) (hx : x ∈ Icc (0 : ℝ) 1) : sinZeta x (2 * k + 1) = (-1) ^ (k + 1) / (2 * k + 1) / Gammaℂ (2 * k + 1) * ((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
rw [sinZeta_two_mul_nat_add_one hk hx] congr 1 have : (2 * k + 1)! = (2 * k + 1) * Complex.Gamma (2 * k + 1) := by rw [(by simp : Complex.Gamma (2 * k + 1) = Complex.Gamma (↑(2 * k) + 1)), Complex.Gamma_nat_eq_factorial, ← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, ← Nat.cast_add_one, ← Nat.cast_mul, ← Nat.factorial_succ] simp_rw [this, Gammaℂ, cpow_neg, ← div_div, div_inv_eq_mul, div_mul_eq_mul_div, div_div] rw [(by simp : 2 * (k : ℂ) + 1 = ↑(2 * k + 1)), cpow_natCast] ring
9
import Mathlib.Topology.ContinuousFunction.ZeroAtInfty open Topology Filter variable {E F 𝓕 : Type*} variable [SeminormedAddGroup E] [SeminormedAddCommGroup F] variable [FunLike 𝓕 E F] [ZeroAtInftyContinuousMapClass 𝓕 E F]
Mathlib/Analysis/Normed/Group/ZeroAtInfty.lean
24
34
theorem ZeroAtInftyContinuousMapClass.norm_le (f : 𝓕) (ε : ℝ) (hε : 0 < ε) : ∃ (r : ℝ), ∀ (x : E) (_hx : r < ‖x‖), ‖f x‖ < ε := by
have h := zero_at_infty f rw [tendsto_zero_iff_norm_tendsto_zero, tendsto_def] at h specialize h (Metric.ball 0 ε) (Metric.ball_mem_nhds 0 hε) rcases Metric.closedBall_compl_subset_of_mem_cocompact h 0 with ⟨r, hr⟩ use r intro x hr' suffices x ∈ (fun x ↦ ‖f x‖) ⁻¹' Metric.ball 0 ε by aesop apply hr aesop
9
import Mathlib.Analysis.Seminorm import Mathlib.Topology.Algebra.Equicontinuity import Mathlib.Topology.MetricSpace.Equicontinuity import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Topology.Algebra.Module.LocallyConvex #align_import analysis.locally_convex.with_seminorms from "leanprover-community/mathlib"@"b31173ee05c911d61ad6a05bd2196835c932e0ec" open NormedField Set Seminorm TopologicalSpace Filter List open NNReal Pointwise Topology Uniformity variable {𝕜 𝕜₂ 𝕝 𝕝₂ E F G ι ι' : Type*} section FilterBasis variable [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E] variable (𝕜 E ι) abbrev SeminormFamily := ι → Seminorm 𝕜 E #align seminorm_family SeminormFamily variable {𝕜 E ι} namespace SeminormFamily def basisSets (p : SeminormFamily 𝕜 E ι) : Set (Set E) := ⋃ (s : Finset ι) (r) (_ : 0 < r), singleton (ball (s.sup p) (0 : E) r) #align seminorm_family.basis_sets SeminormFamily.basisSets variable (p : SeminormFamily 𝕜 E ι) theorem basisSets_iff {U : Set E} : U ∈ p.basisSets ↔ ∃ (i : Finset ι) (r : ℝ), 0 < r ∧ U = ball (i.sup p) 0 r := by simp only [basisSets, mem_iUnion, exists_prop, mem_singleton_iff] #align seminorm_family.basis_sets_iff SeminormFamily.basisSets_iff theorem basisSets_mem (i : Finset ι) {r : ℝ} (hr : 0 < r) : (i.sup p).ball 0 r ∈ p.basisSets := (basisSets_iff _).mpr ⟨i, _, hr, rfl⟩ #align seminorm_family.basis_sets_mem SeminormFamily.basisSets_mem theorem basisSets_singleton_mem (i : ι) {r : ℝ} (hr : 0 < r) : (p i).ball 0 r ∈ p.basisSets := (basisSets_iff _).mpr ⟨{i}, _, hr, by rw [Finset.sup_singleton]⟩ #align seminorm_family.basis_sets_singleton_mem SeminormFamily.basisSets_singleton_mem theorem basisSets_nonempty [Nonempty ι] : p.basisSets.Nonempty := by let i := Classical.arbitrary ι refine nonempty_def.mpr ⟨(p i).ball 0 1, ?_⟩ exact p.basisSets_singleton_mem i zero_lt_one #align seminorm_family.basis_sets_nonempty SeminormFamily.basisSets_nonempty theorem basisSets_intersect (U V : Set E) (hU : U ∈ p.basisSets) (hV : V ∈ p.basisSets) : ∃ z ∈ p.basisSets, z ⊆ U ∩ V := by classical rcases p.basisSets_iff.mp hU with ⟨s, r₁, hr₁, hU⟩ rcases p.basisSets_iff.mp hV with ⟨t, r₂, hr₂, hV⟩ use ((s ∪ t).sup p).ball 0 (min r₁ r₂) refine ⟨p.basisSets_mem (s ∪ t) (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ?_⟩ rw [hU, hV, ball_finset_sup_eq_iInter _ _ _ (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ball_finset_sup_eq_iInter _ _ _ hr₁, ball_finset_sup_eq_iInter _ _ _ hr₂] exact Set.subset_inter (Set.iInter₂_mono' fun i hi => ⟨i, Finset.subset_union_left hi, ball_mono <| min_le_left _ _⟩) (Set.iInter₂_mono' fun i hi => ⟨i, Finset.subset_union_right hi, ball_mono <| min_le_right _ _⟩) #align seminorm_family.basis_sets_intersect SeminormFamily.basisSets_intersect theorem basisSets_zero (U) (hU : U ∈ p.basisSets) : (0 : E) ∈ U := by rcases p.basisSets_iff.mp hU with ⟨ι', r, hr, hU⟩ rw [hU, mem_ball_zero, map_zero] exact hr #align seminorm_family.basis_sets_zero SeminormFamily.basisSets_zero theorem basisSets_add (U) (hU : U ∈ p.basisSets) : ∃ V ∈ p.basisSets, V + V ⊆ U := by rcases p.basisSets_iff.mp hU with ⟨s, r, hr, hU⟩ use (s.sup p).ball 0 (r / 2) refine ⟨p.basisSets_mem s (div_pos hr zero_lt_two), ?_⟩ refine Set.Subset.trans (ball_add_ball_subset (s.sup p) (r / 2) (r / 2) 0 0) ?_ rw [hU, add_zero, add_halves'] #align seminorm_family.basis_sets_add SeminormFamily.basisSets_add theorem basisSets_neg (U) (hU' : U ∈ p.basisSets) : ∃ V ∈ p.basisSets, V ⊆ (fun x : E => -x) ⁻¹' U := by rcases p.basisSets_iff.mp hU' with ⟨s, r, _, hU⟩ rw [hU, neg_preimage, neg_ball (s.sup p), neg_zero] exact ⟨U, hU', Eq.subset hU⟩ #align seminorm_family.basis_sets_neg SeminormFamily.basisSets_neg protected def addGroupFilterBasis [Nonempty ι] : AddGroupFilterBasis E := addGroupFilterBasisOfComm p.basisSets p.basisSets_nonempty p.basisSets_intersect p.basisSets_zero p.basisSets_add p.basisSets_neg #align seminorm_family.add_group_filter_basis SeminormFamily.addGroupFilterBasis
Mathlib/Analysis/LocallyConvex/WithSeminorms.lean
143
153
theorem basisSets_smul_right (v : E) (U : Set E) (hU : U ∈ p.basisSets) : ∀ᶠ x : 𝕜 in 𝓝 0, x • v ∈ U := by
rcases p.basisSets_iff.mp hU with ⟨s, r, hr, hU⟩ rw [hU, Filter.eventually_iff] simp_rw [(s.sup p).mem_ball_zero, map_smul_eq_mul] by_cases h : 0 < (s.sup p) v · simp_rw [(lt_div_iff h).symm] rw [← _root_.ball_zero_eq] exact Metric.ball_mem_nhds 0 (div_pos hr h) simp_rw [le_antisymm (not_lt.mp h) (apply_nonneg _ v), mul_zero, hr] exact IsOpen.mem_nhds isOpen_univ (mem_univ 0)
9
import Mathlib.NumberTheory.NumberField.Basic import Mathlib.RingTheory.Localization.NormTrace #align_import number_theory.number_field.norm from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a" open scoped NumberField open Finset NumberField Algebra FiniteDimensional namespace RingOfIntegers variable {L : Type*} (K : Type*) [Field K] [Field L] [Algebra K L] [FiniteDimensional K L] noncomputable def norm [IsSeparable K L] : 𝓞 L →* 𝓞 K := RingOfIntegers.restrict_monoidHom ((Algebra.norm K).comp (algebraMap (𝓞 L) L : (𝓞 L) →* L)) fun x => isIntegral_norm K x.2 #align ring_of_integers.norm RingOfIntegers.norm @[simp] lemma coe_norm [IsSeparable K L] (x : 𝓞 L) : norm K x = Algebra.norm K (x : L) := rfl theorem coe_algebraMap_norm [IsSeparable K L] (x : 𝓞 L) : (algebraMap (𝓞 K) (𝓞 L) (norm K x) : L) = algebraMap K L (Algebra.norm K (x : L)) := rfl #align ring_of_integers.coe_algebra_map_norm RingOfIntegers.coe_algebraMap_norm theorem algebraMap_norm_algebraMap [IsSeparable K L] (x : 𝓞 K) : algebraMap _ K (norm K (algebraMap (𝓞 K) (𝓞 L) x)) = Algebra.norm K (algebraMap K L (algebraMap _ _ x)) := rfl #align ring_of_integers.coe_norm_algebra_map RingOfIntegers.algebraMap_norm_algebraMap theorem norm_algebraMap [IsSeparable K L] (x : 𝓞 K) : norm K (algebraMap (𝓞 K) (𝓞 L) x) = x ^ finrank K L := by rw [RingOfIntegers.ext_iff, RingOfIntegers.coe_eq_algebraMap, RingOfIntegers.algebraMap_norm_algebraMap, Algebra.norm_algebraMap, RingOfIntegers.coe_eq_algebraMap, map_pow] #align ring_of_integers.norm_algebra_map RingOfIntegers.norm_algebraMap theorem isUnit_norm_of_isGalois [IsGalois K L] {x : 𝓞 L} : IsUnit (norm K x) ↔ IsUnit x := by classical refine ⟨fun hx => ?_, IsUnit.map _⟩ replace hx : IsUnit (algebraMap (𝓞 K) (𝓞 L) <| norm K x) := hx.map (algebraMap (𝓞 K) <| 𝓞 L) refine @isUnit_of_mul_isUnit_right (𝓞 L) _ ⟨(univ \ {AlgEquiv.refl}).prod fun σ : L ≃ₐ[K] L => σ x, prod_mem fun σ _ => x.2.map (σ : L →+* L).toIntAlgHom⟩ _ ?_ convert hx using 1 ext convert_to ((univ \ {AlgEquiv.refl}).prod fun σ : L ≃ₐ[K] L => σ x) * ∏ σ ∈ {(AlgEquiv.refl : L ≃ₐ[K] L)}, σ x = _ · rw [prod_singleton, AlgEquiv.coe_refl, _root_.id, RingOfIntegers.coe_eq_algebraMap, map_mul, RingOfIntegers.map_mk] · rw [prod_sdiff <| subset_univ _, ← norm_eq_prod_automorphisms, coe_algebraMap_norm] #align ring_of_integers.is_unit_norm_of_is_galois RingOfIntegers.isUnit_norm_of_isGalois
Mathlib/NumberTheory/NumberField/Norm.lean
90
99
theorem dvd_norm [IsGalois K L] (x : 𝓞 L) : x ∣ algebraMap (𝓞 K) (𝓞 L) (norm K x) := by
classical have hint : IsIntegral ℤ (∏ σ ∈ univ.erase (AlgEquiv.refl : L ≃ₐ[K] L), σ x) := IsIntegral.prod _ (fun σ _ => ((RingOfIntegers.isIntegral_coe x).map σ)) refine ⟨⟨_, hint⟩, ?_⟩ ext rw [coe_algebraMap_norm K x, norm_eq_prod_automorphisms] simp [← Finset.mul_prod_erase _ _ (mem_univ AlgEquiv.refl)]
9
import Mathlib.LinearAlgebra.Dimension.Finrank import Mathlib.LinearAlgebra.InvariantBasisNumber #align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5" noncomputable section universe u v w w' variable {R : Type u} {M : Type v} [Ring R] [AddCommGroup M] [Module R M] variable {ι : Type w} {ι' : Type w'} open Cardinal Basis Submodule Function Set attribute [local instance] nontrivial_of_invariantBasisNumber section StrongRankCondition variable [StrongRankCondition R] open Submodule -- An auxiliary lemma for `linearIndependent_le_span'`, -- with the additional assumption that the linearly independent family is finite. theorem linearIndependent_le_span_aux' {ι : Type*} [Fintype ι] (v : ι → M) (i : LinearIndependent R v) (w : Set M) [Fintype w] (s : range v ≤ span R w) : Fintype.card ι ≤ Fintype.card w := by -- We construct an injective linear map `(ι → R) →ₗ[R] (w → R)`, -- by thinking of `f : ι → R` as a linear combination of the finite family `v`, -- and expressing that (using the axiom of choice) as a linear combination over `w`. -- We can do this linearly by constructing the map on a basis. fapply card_le_of_injective' R · apply Finsupp.total exact fun i => Span.repr R w ⟨v i, s (mem_range_self i)⟩ · intro f g h apply_fun Finsupp.total w M R (↑) at h simp only [Finsupp.total_total, Submodule.coe_mk, Span.finsupp_total_repr] at h rw [← sub_eq_zero, ← LinearMap.map_sub] at h exact sub_eq_zero.mp (linearIndependent_iff.mp i _ h) #align linear_independent_le_span_aux' linearIndependent_le_span_aux' lemma LinearIndependent.finite_of_le_span_finite {ι : Type*} (v : ι → M) (i : LinearIndependent R v) (w : Set M) [Finite w] (s : range v ≤ span R w) : Finite ι := letI := Fintype.ofFinite w Fintype.finite <| fintypeOfFinsetCardLe (Fintype.card w) fun t => by let v' := fun x : (t : Set ι) => v x have i' : LinearIndependent R v' := i.comp _ Subtype.val_injective have s' : range v' ≤ span R w := (range_comp_subset_range _ _).trans s simpa using linearIndependent_le_span_aux' v' i' w s' #align linear_independent_fintype_of_le_span_fintype LinearIndependent.finite_of_le_span_finite theorem linearIndependent_le_span' {ι : Type*} (v : ι → M) (i : LinearIndependent R v) (w : Set M) [Fintype w] (s : range v ≤ span R w) : #ι ≤ Fintype.card w := by haveI : Finite ι := i.finite_of_le_span_finite v w s letI := Fintype.ofFinite ι rw [Cardinal.mk_fintype] simp only [Cardinal.natCast_le] exact linearIndependent_le_span_aux' v i w s #align linear_independent_le_span' linearIndependent_le_span' theorem linearIndependent_le_span {ι : Type*} (v : ι → M) (i : LinearIndependent R v) (w : Set M) [Fintype w] (s : span R w = ⊤) : #ι ≤ Fintype.card w := by apply linearIndependent_le_span' v i w rw [s] exact le_top #align linear_independent_le_span linearIndependent_le_span theorem linearIndependent_le_span_finset {ι : Type*} (v : ι → M) (i : LinearIndependent R v) (w : Finset M) (s : span R (w : Set M) = ⊤) : #ι ≤ w.card := by simpa only [Finset.coe_sort_coe, Fintype.card_coe] using linearIndependent_le_span v i w s #align linear_independent_le_span_finset linearIndependent_le_span_finset theorem linearIndependent_le_infinite_basis {ι : Type w} (b : Basis ι R M) [Infinite ι] {κ : Type w} (v : κ → M) (i : LinearIndependent R v) : #κ ≤ #ι := by classical by_contra h rw [not_le, ← Cardinal.mk_finset_of_infinite ι] at h let Φ := fun k : κ => (b.repr (v k)).support obtain ⟨s, w : Infinite ↑(Φ ⁻¹' {s})⟩ := Cardinal.exists_infinite_fiber Φ h (by infer_instance) let v' := fun k : Φ ⁻¹' {s} => v k have i' : LinearIndependent R v' := i.comp _ Subtype.val_injective have w' : Finite (Φ ⁻¹' {s}) := by apply i'.finite_of_le_span_finite v' (s.image b) rintro m ⟨⟨p, ⟨rfl⟩⟩, rfl⟩ simp only [SetLike.mem_coe, Subtype.coe_mk, Finset.coe_image] apply Basis.mem_span_repr_support exact w.false #align linear_independent_le_infinite_basis linearIndependent_le_infinite_basis
Mathlib/LinearAlgebra/Dimension/StrongRankCondition.lean
266
276
theorem linearIndependent_le_basis {ι : Type w} (b : Basis ι R M) {κ : Type w} (v : κ → M) (i : LinearIndependent R v) : #κ ≤ #ι := by
classical -- We split into cases depending on whether `ι` is infinite. cases fintypeOrInfinite ι · rw [Cardinal.mk_fintype ι] -- When `ι` is finite, we have `linearIndependent_le_span`, haveI : Nontrivial R := nontrivial_of_invariantBasisNumber R rw [Fintype.card_congr (Equiv.ofInjective b b.injective)] exact linearIndependent_le_span v i (range b) b.span_eq · -- and otherwise we have `linearIndependent_le_infinite_basis`. exact linearIndependent_le_infinite_basis b v i
9
import Mathlib.Order.ConditionallyCompleteLattice.Finset import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.lattice from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54" assert_not_exists MonoidWithZero open Set namespace Nat open scoped Classical noncomputable instance : InfSet ℕ := ⟨fun s ↦ if h : ∃ n, n ∈ s then @Nat.find (fun n ↦ n ∈ s) _ h else 0⟩ noncomputable instance : SupSet ℕ := ⟨fun s ↦ if h : ∃ n, ∀ a ∈ s, a ≤ n then @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h else 0⟩ theorem sInf_def {s : Set ℕ} (h : s.Nonempty) : sInf s = @Nat.find (fun n ↦ n ∈ s) _ h := dif_pos _ #align nat.Inf_def Nat.sInf_def theorem sSup_def {s : Set ℕ} (h : ∃ n, ∀ a ∈ s, a ≤ n) : sSup s = @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h := dif_pos _ #align nat.Sup_def Nat.sSup_def theorem _root_.Set.Infinite.Nat.sSup_eq_zero {s : Set ℕ} (h : s.Infinite) : sSup s = 0 := dif_neg fun ⟨n, hn⟩ ↦ let ⟨k, hks, hk⟩ := h.exists_gt n (hn k hks).not_lt hk #align set.infinite.nat.Sup_eq_zero Set.Infinite.Nat.sSup_eq_zero @[simp] theorem sInf_eq_zero {s : Set ℕ} : sInf s = 0 ↔ 0 ∈ s ∨ s = ∅ := by cases eq_empty_or_nonempty s with | inl h => subst h simp only [or_true_iff, eq_self_iff_true, iff_true_iff, iInf, InfSet.sInf, mem_empty_iff_false, exists_false, dif_neg, not_false_iff] | inr h => simp only [h.ne_empty, or_false_iff, Nat.sInf_def, h, Nat.find_eq_zero] #align nat.Inf_eq_zero Nat.sInf_eq_zero @[simp] theorem sInf_empty : sInf ∅ = 0 := by rw [sInf_eq_zero] right rfl #align nat.Inf_empty Nat.sInf_empty @[simp] theorem iInf_of_empty {ι : Sort*} [IsEmpty ι] (f : ι → ℕ) : iInf f = 0 := by rw [iInf_of_isEmpty, sInf_empty] #align nat.infi_of_empty Nat.iInf_of_empty @[simp] lemma iInf_const_zero {ι : Sort*} : ⨅ i : ι, 0 = 0 := (isEmpty_or_nonempty ι).elim (fun h ↦ by simp) fun h ↦ sInf_eq_zero.2 <| by simp theorem sInf_mem {s : Set ℕ} (h : s.Nonempty) : sInf s ∈ s := by rw [Nat.sInf_def h] exact Nat.find_spec h #align nat.Inf_mem Nat.sInf_mem theorem not_mem_of_lt_sInf {s : Set ℕ} {m : ℕ} (hm : m < sInf s) : m ∉ s := by cases eq_empty_or_nonempty s with | inl h => subst h; apply not_mem_empty | inr h => rw [Nat.sInf_def h] at hm; exact Nat.find_min h hm #align nat.not_mem_of_lt_Inf Nat.not_mem_of_lt_sInf protected theorem sInf_le {s : Set ℕ} {m : ℕ} (hm : m ∈ s) : sInf s ≤ m := by rw [Nat.sInf_def ⟨m, hm⟩] exact Nat.find_min' ⟨m, hm⟩ hm #align nat.Inf_le Nat.sInf_le theorem nonempty_of_pos_sInf {s : Set ℕ} (h : 0 < sInf s) : s.Nonempty := by by_contra contra rw [Set.not_nonempty_iff_eq_empty] at contra have h' : sInf s ≠ 0 := ne_of_gt h apply h' rw [Nat.sInf_eq_zero] right assumption #align nat.nonempty_of_pos_Inf Nat.nonempty_of_pos_sInf theorem nonempty_of_sInf_eq_succ {s : Set ℕ} {k : ℕ} (h : sInf s = k + 1) : s.Nonempty := nonempty_of_pos_sInf (h.symm ▸ succ_pos k : sInf s > 0) #align nat.nonempty_of_Inf_eq_succ Nat.nonempty_of_sInf_eq_succ theorem eq_Ici_of_nonempty_of_upward_closed {s : Set ℕ} (hs : s.Nonempty) (hs' : ∀ k₁ k₂ : ℕ, k₁ ≤ k₂ → k₁ ∈ s → k₂ ∈ s) : s = Ici (sInf s) := ext fun n ↦ ⟨fun H ↦ Nat.sInf_le H, fun H ↦ hs' (sInf s) n H (sInf_mem hs)⟩ #align nat.eq_Ici_of_nonempty_of_upward_closed Nat.eq_Ici_of_nonempty_of_upward_closed
Mathlib/Data/Nat/Lattice.lean
110
120
theorem sInf_upward_closed_eq_succ_iff {s : Set ℕ} (hs : ∀ k₁ k₂ : ℕ, k₁ ≤ k₂ → k₁ ∈ s → k₂ ∈ s) (k : ℕ) : sInf s = k + 1 ↔ k + 1 ∈ s ∧ k ∉ s := by
constructor · intro H rw [eq_Ici_of_nonempty_of_upward_closed (nonempty_of_sInf_eq_succ _) hs, H, mem_Ici, mem_Ici] · exact ⟨le_rfl, k.not_succ_le_self⟩; · exact k · assumption · rintro ⟨H, H'⟩ rw [sInf_def (⟨_, H⟩ : s.Nonempty), find_eq_iff] exact ⟨H, fun n hnk hns ↦ H' <| hs n k (Nat.lt_succ_iff.mp hnk) hns⟩
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import Mathlib.Algebra.Group.Prod import Mathlib.Data.Set.Lattice #align_import data.nat.pairing from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" assert_not_exists MonoidWithZero open Prod Decidable Function namespace Nat -- Porting note: no pp_nodot --@[pp_nodot] def pair (a b : ℕ) : ℕ := if a < b then b * b + a else a * a + a + b #align nat.mkpair Nat.pair -- Porting note: no pp_nodot --@[pp_nodot] def unpair (n : ℕ) : ℕ × ℕ := let s := sqrt n if n - s * s < s then (n - s * s, s) else (s, n - s * s - s) #align nat.unpair Nat.unpair @[simp] theorem pair_unpair (n : ℕ) : pair (unpair n).1 (unpair n).2 = n := by dsimp only [unpair]; let s := sqrt n have sm : s * s + (n - s * s) = n := Nat.add_sub_cancel' (sqrt_le _) split_ifs with h · simp [pair, h, sm] · have hl : n - s * s - s ≤ s := Nat.sub_le_iff_le_add.2 (Nat.sub_le_iff_le_add'.2 <| by rw [← Nat.add_assoc]; apply sqrt_le_add) simp [pair, hl.not_lt, Nat.add_assoc, Nat.add_sub_cancel' (le_of_not_gt h), sm] #align nat.mkpair_unpair Nat.pair_unpair theorem pair_unpair' {n a b} (H : unpair n = (a, b)) : pair a b = n := by simpa [H] using pair_unpair n #align nat.mkpair_unpair' Nat.pair_unpair' @[simp]
Mathlib/Data/Nat/Pairing.lean
64
73
theorem unpair_pair (a b : ℕ) : unpair (pair a b) = (a, b) := by
dsimp only [pair]; split_ifs with h · show unpair (b * b + a) = (a, b) have be : sqrt (b * b + a) = b := sqrt_add_eq _ (le_trans (le_of_lt h) (Nat.le_add_left _ _)) simp [unpair, be, Nat.add_sub_cancel_left, h] · show unpair (a * a + a + b) = (a, b) have ae : sqrt (a * a + (a + b)) = a := by rw [sqrt_add_eq] exact Nat.add_le_add_left (le_of_not_gt h) _ simp [unpair, ae, Nat.not_lt_zero, Nat.add_assoc, Nat.add_sub_cancel_left]
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import Mathlib.Data.Nat.Bits import Mathlib.Order.Lattice #align_import data.nat.size from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607" namespace Nat section set_option linter.deprecated false theorem shiftLeft_eq_mul_pow (m) : ∀ n, m <<< n = m * 2 ^ n := shiftLeft_eq _ #align nat.shiftl_eq_mul_pow Nat.shiftLeft_eq_mul_pow theorem shiftLeft'_tt_eq_mul_pow (m) : ∀ n, shiftLeft' true m n + 1 = (m + 1) * 2 ^ n | 0 => by simp [shiftLeft', pow_zero, Nat.one_mul] | k + 1 => by change bit1 (shiftLeft' true m k) + 1 = (m + 1) * (2 ^ k * 2) rw [bit1_val] change 2 * (shiftLeft' true m k + 1) = _ rw [shiftLeft'_tt_eq_mul_pow m k, mul_left_comm, mul_comm 2] #align nat.shiftl'_tt_eq_mul_pow Nat.shiftLeft'_tt_eq_mul_pow end #align nat.one_shiftl Nat.one_shiftLeft #align nat.zero_shiftl Nat.zero_shiftLeft #align nat.shiftr_eq_div_pow Nat.shiftRight_eq_div_pow theorem shiftLeft'_ne_zero_left (b) {m} (h : m ≠ 0) (n) : shiftLeft' b m n ≠ 0 := by induction n <;> simp [bit_ne_zero, shiftLeft', *] #align nat.shiftl'_ne_zero_left Nat.shiftLeft'_ne_zero_left theorem shiftLeft'_tt_ne_zero (m) : ∀ {n}, (n ≠ 0) → shiftLeft' true m n ≠ 0 | 0, h => absurd rfl h | succ _, _ => Nat.bit1_ne_zero _ #align nat.shiftl'_tt_ne_zero Nat.shiftLeft'_tt_ne_zero @[simp] theorem size_zero : size 0 = 0 := by simp [size] #align nat.size_zero Nat.size_zero @[simp] theorem size_bit {b n} (h : bit b n ≠ 0) : size (bit b n) = succ (size n) := by rw [size] conv => lhs rw [binaryRec] simp [h] rw [div2_bit] #align nat.size_bit Nat.size_bit section set_option linter.deprecated false @[simp] theorem size_bit0 {n} (h : n ≠ 0) : size (bit0 n) = succ (size n) := @size_bit false n (Nat.bit0_ne_zero h) #align nat.size_bit0 Nat.size_bit0 @[simp] theorem size_bit1 (n) : size (bit1 n) = succ (size n) := @size_bit true n (Nat.bit1_ne_zero n) #align nat.size_bit1 Nat.size_bit1 @[simp] theorem size_one : size 1 = 1 := show size (bit1 0) = 1 by rw [size_bit1, size_zero] #align nat.size_one Nat.size_one end @[simp] theorem size_shiftLeft' {b m n} (h : shiftLeft' b m n ≠ 0) : size (shiftLeft' b m n) = size m + n := by induction' n with n IH <;> simp [shiftLeft'] at h ⊢ rw [size_bit h, Nat.add_succ] by_cases s0 : shiftLeft' b m n = 0 <;> [skip; rw [IH s0]] rw [s0] at h ⊢ cases b; · exact absurd rfl h have : shiftLeft' true m n + 1 = 1 := congr_arg (· + 1) s0 rw [shiftLeft'_tt_eq_mul_pow] at this obtain rfl := succ.inj (eq_one_of_dvd_one ⟨_, this.symm⟩) simp only [zero_add, one_mul] at this obtain rfl : n = 0 := not_ne_iff.1 fun hn ↦ ne_of_gt (Nat.one_lt_pow hn (by decide)) this rfl #align nat.size_shiftl' Nat.size_shiftLeft' -- TODO: decide whether `Nat.shiftLeft_eq` (which rewrites the LHS into a power) should be a simp -- lemma; it was not in mathlib3. Until then, tell the simpNF linter to ignore the issue. @[simp, nolint simpNF] theorem size_shiftLeft {m} (h : m ≠ 0) (n) : size (m <<< n) = size m + n := by simp only [size_shiftLeft' (shiftLeft'_ne_zero_left _ h _), ← shiftLeft'_false] #align nat.size_shiftl Nat.size_shiftLeft
Mathlib/Data/Nat/Size.lean
107
116
theorem lt_size_self (n : ℕ) : n < 2 ^ size n := by
rw [← one_shiftLeft] have : ∀ {n}, n = 0 → n < 1 <<< (size n) := by simp apply binaryRec _ _ n · apply this rfl intro b n IH by_cases h : bit b n = 0 · apply this h rw [size_bit h, shiftLeft_succ, shiftLeft_eq, one_mul, ← bit0_val] exact bit_lt_bit0 _ (by simpa [shiftLeft_eq, shiftRight_eq_div_pow] using IH)
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import Mathlib.Data.Set.Lattice import Mathlib.Order.Directed #align_import data.set.Union_lift from "leanprover-community/mathlib"@"5a4ea8453f128345f73cc656e80a49de2a54f481" variable {α : Type*} {ι β : Sort _} namespace Set section UnionLift @[nolint unusedArguments] noncomputable def iUnionLift (S : ι → Set α) (f : ∀ i, S i → β) (_ : ∀ (i j) (x : α) (hxi : x ∈ S i) (hxj : x ∈ S j), f i ⟨x, hxi⟩ = f j ⟨x, hxj⟩) (T : Set α) (hT : T ⊆ iUnion S) (x : T) : β := let i := Classical.indefiniteDescription _ (mem_iUnion.1 (hT x.prop)) f i ⟨x, i.prop⟩ #align set.Union_lift Set.iUnionLift variable {S : ι → Set α} {f : ∀ i, S i → β} {hf : ∀ (i j) (x : α) (hxi : x ∈ S i) (hxj : x ∈ S j), f i ⟨x, hxi⟩ = f j ⟨x, hxj⟩} {T : Set α} {hT : T ⊆ iUnion S} (hT' : T = iUnion S) @[simp] theorem iUnionLift_mk {i : ι} (x : S i) (hx : (x : α) ∈ T) : iUnionLift S f hf T hT ⟨x, hx⟩ = f i x := hf _ i x _ _ #align set.Union_lift_mk Set.iUnionLift_mk @[simp] theorem iUnionLift_inclusion {i : ι} (x : S i) (h : S i ⊆ T) : iUnionLift S f hf T hT (Set.inclusion h x) = f i x := iUnionLift_mk x _ #align set.Union_lift_inclusion Set.iUnionLift_inclusion theorem iUnionLift_of_mem (x : T) {i : ι} (hx : (x : α) ∈ S i) : iUnionLift S f hf T hT x = f i ⟨x, hx⟩ := by cases' x with x hx; exact hf _ _ _ _ _ #align set.Union_lift_of_mem Set.iUnionLift_of_mem
Mathlib/Data/Set/UnionLift.lean
79
90
theorem preimage_iUnionLift (t : Set β) : iUnionLift S f hf T hT ⁻¹' t = inclusion hT ⁻¹' (⋃ i, inclusion (subset_iUnion S i) '' (f i ⁻¹' t)) := by
ext x simp only [mem_preimage, mem_iUnion, mem_image] constructor · rcases mem_iUnion.1 (hT x.prop) with ⟨i, hi⟩ refine fun h => ⟨i, ⟨x, hi⟩, ?_, rfl⟩ rwa [iUnionLift_of_mem x hi] at h · rintro ⟨i, ⟨y, hi⟩, h, hxy⟩ obtain rfl : y = x := congr_arg Subtype.val hxy rwa [iUnionLift_of_mem x hi]
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import Mathlib.Data.List.OfFn import Mathlib.Data.List.Range #align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" assert_not_exists MonoidWithZero universe u v open Function namespace List variable {α : Type u} {β : Type v} section MapIdx -- Porting note: Add back old definition because it's easier for writing proofs. protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β | _, [] => [] | k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β := List.oldMapIdxCore f 0 as @[simp] theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] := rfl #align list.map_with_index_nil List.mapIdx_nil -- Porting note (#10756): new theorem. protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) : l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by induction' l with hd tl hl generalizing f n · rfl · rw [List.oldMapIdx] simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero] #noalign list.map_with_index_core_eq -- Porting note: convert new definition to old definition. -- A few new theorems are added to achieve this -- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]` -- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]` -- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l` -- Porting note (#10756): new theorem.
Mathlib/Data/List/Indexes.lean
61
71
theorem list_reverse_induction (p : List α → Prop) (base : p []) (ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by
let q := fun l ↦ p (reverse l) have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id intro l apply qp generalize (reverse l) = l induction' l with head tail ih · apply pq; simp only [reverse_nil, base] · apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
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import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Data.Nat.Fib.Basic import Mathlib.Tactic.Monotonicity #align_import algebra.continued_fractions.computation.approximations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) open Int variable {K : Type*} {v : K} {n : ℕ} [LinearOrderedField K] [FloorRing K] namespace IntFractPair theorem nth_stream_fr_nonneg_lt_one {ifp_n : IntFractPair K} (nth_stream_eq : IntFractPair.stream v n = some ifp_n) : 0 ≤ ifp_n.fr ∧ ifp_n.fr < 1 := by cases n with | zero => have : IntFractPair.of v = ifp_n := by injection nth_stream_eq rw [← this, IntFractPair.of] exact ⟨fract_nonneg _, fract_lt_one _⟩ | succ => rcases succ_nth_stream_eq_some_iff.1 nth_stream_eq with ⟨_, _, _, ifp_of_eq_ifp_n⟩ rw [← ifp_of_eq_ifp_n, IntFractPair.of] exact ⟨fract_nonneg _, fract_lt_one _⟩ #align generalized_continued_fraction.int_fract_pair.nth_stream_fr_nonneg_lt_one GeneralizedContinuedFraction.IntFractPair.nth_stream_fr_nonneg_lt_one theorem nth_stream_fr_nonneg {ifp_n : IntFractPair K} (nth_stream_eq : IntFractPair.stream v n = some ifp_n) : 0 ≤ ifp_n.fr := (nth_stream_fr_nonneg_lt_one nth_stream_eq).left #align generalized_continued_fraction.int_fract_pair.nth_stream_fr_nonneg GeneralizedContinuedFraction.IntFractPair.nth_stream_fr_nonneg theorem nth_stream_fr_lt_one {ifp_n : IntFractPair K} (nth_stream_eq : IntFractPair.stream v n = some ifp_n) : ifp_n.fr < 1 := (nth_stream_fr_nonneg_lt_one nth_stream_eq).right #align generalized_continued_fraction.int_fract_pair.nth_stream_fr_lt_one GeneralizedContinuedFraction.IntFractPair.nth_stream_fr_lt_one theorem one_le_succ_nth_stream_b {ifp_succ_n : IntFractPair K} (succ_nth_stream_eq : IntFractPair.stream v (n + 1) = some ifp_succ_n) : 1 ≤ ifp_succ_n.b := by obtain ⟨ifp_n, nth_stream_eq, stream_nth_fr_ne_zero, ⟨-⟩⟩ : ∃ ifp_n, IntFractPair.stream v n = some ifp_n ∧ ifp_n.fr ≠ 0 ∧ IntFractPair.of ifp_n.fr⁻¹ = ifp_succ_n := succ_nth_stream_eq_some_iff.1 succ_nth_stream_eq suffices 1 ≤ ifp_n.fr⁻¹ by rwa [IntFractPair.of, le_floor, cast_one] suffices ifp_n.fr ≤ 1 by have h : 0 < ifp_n.fr := lt_of_le_of_ne (nth_stream_fr_nonneg nth_stream_eq) stream_nth_fr_ne_zero.symm apply one_le_inv h this simp only [le_of_lt (nth_stream_fr_lt_one nth_stream_eq)] #align generalized_continued_fraction.int_fract_pair.one_le_succ_nth_stream_b GeneralizedContinuedFraction.IntFractPair.one_le_succ_nth_stream_b
Mathlib/Algebra/ContinuedFractions/Computation/Approximations.lean
115
127
theorem succ_nth_stream_b_le_nth_stream_fr_inv {ifp_n ifp_succ_n : IntFractPair K} (nth_stream_eq : IntFractPair.stream v n = some ifp_n) (succ_nth_stream_eq : IntFractPair.stream v (n + 1) = some ifp_succ_n) : (ifp_succ_n.b : K) ≤ ifp_n.fr⁻¹ := by
suffices (⌊ifp_n.fr⁻¹⌋ : K) ≤ ifp_n.fr⁻¹ by cases' ifp_n with _ ifp_n_fr have : ifp_n_fr ≠ 0 := by intro h simp [h, IntFractPair.stream, nth_stream_eq] at succ_nth_stream_eq have : IntFractPair.of ifp_n_fr⁻¹ = ifp_succ_n := by simpa [this, IntFractPair.stream, nth_stream_eq, Option.coe_def] using succ_nth_stream_eq rwa [← this] exact floor_le ifp_n.fr⁻¹
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