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import Mathlib.Analysis.NormedSpace.OperatorNorm.Bilinear import Mathlib.Analysis.NormedSpace.OperatorNorm.NNNorm suppress_compilation open Bornology Metric Set Real open Filter hiding map_smul open scoped Classical NNReal Topology Uniformity -- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*} variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] [NormedAddCommGroup Fₗ] variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃] [NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜₃ G] [NormedSpace 𝕜 Fₗ] (c : 𝕜) {σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} (f g : E →SL[σ₁₂] F) (x y z : E) namespace ContinuousLinearMap section Completeness variable {E' : Type*} [SeminormedAddCommGroup E'] [NormedSpace 𝕜 E'] [RingHomIsometric σ₁₂] @[simps! (config := .asFn) apply] def ofMemClosureImageCoeBounded (f : E' → F) {s : Set (E' →SL[σ₁₂] F)} (hs : IsBounded s) (hf : f ∈ closure (((↑) : (E' →SL[σ₁₂] F) → E' → F) '' s)) : E' →SL[σ₁₂] F := by -- `f` is a linear map due to `linearMapOfMemClosureRangeCoe` refine (linearMapOfMemClosureRangeCoe f ?_).mkContinuousOfExistsBound ?_ · refine closure_mono (image_subset_iff.2 fun g _ => ?_) hf exact ⟨g, rfl⟩ · -- We need to show that `f` has bounded norm. Choose `C` such that `‖g‖ ≤ C` for all `g ∈ s`. rcases isBounded_iff_forall_norm_le.1 hs with ⟨C, hC⟩ -- Then `‖g x‖ ≤ C * ‖x‖` for all `g ∈ s`, `x : E`, hence `‖f x‖ ≤ C * ‖x‖` for all `x`. have : ∀ x, IsClosed { g : E' → F | ‖g x‖ ≤ C * ‖x‖ } := fun x => isClosed_Iic.preimage (@continuous_apply E' (fun _ => F) _ x).norm refine ⟨C, fun x => (this x).closure_subset_iff.2 (image_subset_iff.2 fun g hg => ?_) hf⟩ exact g.le_of_opNorm_le (hC _ hg) _ #align continuous_linear_map.of_mem_closure_image_coe_bounded ContinuousLinearMap.ofMemClosureImageCoeBounded @[simps! (config := .asFn) apply] def ofTendstoOfBoundedRange {α : Type*} {l : Filter α} [l.NeBot] (f : E' → F) (g : α → E' →SL[σ₁₂] F) (hf : Tendsto (fun a x => g a x) l (𝓝 f)) (hg : IsBounded (Set.range g)) : E' →SL[σ₁₂] F := ofMemClosureImageCoeBounded f hg <| mem_closure_of_tendsto hf <| eventually_of_forall fun _ => mem_image_of_mem _ <| Set.mem_range_self _ #align continuous_linear_map.of_tendsto_of_bounded_range ContinuousLinearMap.ofTendstoOfBoundedRange
Mathlib/Analysis/NormedSpace/OperatorNorm/Completeness.lean
70
86
theorem tendsto_of_tendsto_pointwise_of_cauchySeq {f : ℕ → E' →SL[σ₁₂] F} {g : E' →SL[σ₁₂] F} (hg : Tendsto (fun n x => f n x) atTop (𝓝 g)) (hf : CauchySeq f) : Tendsto f atTop (𝓝 g) := by
/- Since `f` is a Cauchy sequence, there exists `b → 0` such that `‖f n - f m‖ ≤ b N` for any `m, n ≥ N`. -/ rcases cauchySeq_iff_le_tendsto_0.1 hf with ⟨b, hb₀, hfb, hb_lim⟩ -- Since `b → 0`, it suffices to show that `‖f n x - g x‖ ≤ b n * ‖x‖` for all `n` and `x`. suffices ∀ n x, ‖f n x - g x‖ ≤ b n * ‖x‖ from tendsto_iff_norm_sub_tendsto_zero.2 (squeeze_zero (fun n => norm_nonneg _) (fun n => opNorm_le_bound _ (hb₀ n) (this n)) hb_lim) intro n x -- Note that `f m x → g x`, hence `‖f n x - f m x‖ → ‖f n x - g x‖` as `m → ∞` have : Tendsto (fun m => ‖f n x - f m x‖) atTop (𝓝 ‖f n x - g x‖) := (tendsto_const_nhds.sub <| tendsto_pi_nhds.1 hg _).norm -- Thus it suffices to verify `‖f n x - f m x‖ ≤ b n * ‖x‖` for `m ≥ n`. refine le_of_tendsto this (eventually_atTop.2 ⟨n, fun m hm => ?_⟩) -- This inequality follows from `‖f n - f m‖ ≤ b n`. exact (f n - f m).le_of_opNorm_le (hfb _ _ _ le_rfl hm) _
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import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.SpecialFunctions.Gamma.Basic open Real Set MeasureTheory MeasureTheory.Measure section real
Mathlib/MeasureTheory/Integral/Gamma.lean
21
37
theorem integral_rpow_mul_exp_neg_rpow {p q : ℝ} (hp : 0 < p) (hq : - 1 < q) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- x ^ p) = (1 / p) * Gamma ((q + 1) / p) := by
calc _ = ∫ (x : ℝ) in Ioi 0, (1 / p * x ^ (1 / p - 1)) • ((x ^ (1 / p)) ^ q * exp (-x)) := by rw [← integral_comp_rpow_Ioi _ (one_div_ne_zero (ne_of_gt hp)), abs_eq_self.mpr (le_of_lt (one_div_pos.mpr hp))] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx) _ p, one_div_mul_cancel (ne_of_gt hp), rpow_one] _ = ∫ (x : ℝ) in Ioi 0, 1 / p * exp (-x) * x ^ (1 / p - 1 + q / p) := by simp_rw [smul_eq_mul, mul_assoc] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx), div_mul_eq_mul_div, one_mul, rpow_add hx] ring_nf _ = (1 / p) * Gamma ((q + 1) / p) := by rw [Gamma_eq_integral (div_pos (neg_lt_iff_pos_add.mp hq) hp)] simp_rw [show 1 / p - 1 + q / p = (q + 1) / p - 1 by field_simp; ring, ← integral_mul_left, ← mul_assoc]
15
import Mathlib.Analysis.Normed.Field.Basic #align_import topology.metric_space.cau_seq_filter from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe u v open Set Filter open scoped Classical open Topology variable {β : Type v} theorem CauSeq.tendsto_limit [NormedRing β] [hn : IsAbsoluteValue (norm : β → ℝ)] (f : CauSeq β norm) [CauSeq.IsComplete β norm] : Tendsto f atTop (𝓝 f.lim) := tendsto_nhds.mpr (by intro s os lfs suffices ∃ a : ℕ, ∀ b : ℕ, b ≥ a → f b ∈ s by simpa using this rcases Metric.isOpen_iff.1 os _ lfs with ⟨ε, ⟨hε, hεs⟩⟩ cases' Setoid.symm (CauSeq.equiv_lim f) _ hε with N hN exists N intro b hb apply hεs dsimp [Metric.ball] rw [dist_comm, dist_eq_norm] solve_by_elim) #align cau_seq.tendsto_limit CauSeq.tendsto_limit variable [NormedField β] open Metric theorem CauchySeq.isCauSeq {f : ℕ → β} (hf : CauchySeq f) : IsCauSeq norm f := by cases' cauchy_iff.1 hf with hf1 hf2 intro ε hε rcases hf2 { x | dist x.1 x.2 < ε } (dist_mem_uniformity hε) with ⟨t, ⟨ht, htsub⟩⟩ simp only [mem_map, mem_atTop_sets, ge_iff_le, mem_preimage] at ht; cases' ht with N hN exists N intro j hj rw [← dist_eq_norm] apply @htsub (f j, f N) apply Set.mk_mem_prod <;> solve_by_elim [le_refl] #align cauchy_seq.is_cau_seq CauchySeq.isCauSeq
Mathlib/Topology/MetricSpace/CauSeqFilter.lean
67
82
theorem CauSeq.cauchySeq (f : CauSeq β norm) : CauchySeq f := by
refine cauchy_iff.2 ⟨by infer_instance, fun s hs => ?_⟩ rcases mem_uniformity_dist.1 hs with ⟨ε, ⟨hε, hεs⟩⟩ cases' CauSeq.cauchy₂ f hε with N hN exists { n | n ≥ N }.image f simp only [exists_prop, mem_atTop_sets, mem_map, mem_image, ge_iff_le, mem_setOf_eq] constructor · exists N intro b hb exists b · rintro ⟨a, b⟩ ⟨⟨a', ⟨ha'1, ha'2⟩⟩, ⟨b', ⟨hb'1, hb'2⟩⟩⟩ dsimp at ha'1 ha'2 hb'1 hb'2 rw [← ha'2, ← hb'2] apply hεs rw [dist_eq_norm] apply hN <;> assumption
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import Mathlib.Topology.Order.Basic import Mathlib.Data.Set.Pointwise.Basic open Set Filter TopologicalSpace Topology Function open OrderDual (toDual ofDual) variable {α β γ : Type*} section LinearOrder variable [TopologicalSpace α] [LinearOrder α] section OrderTopology variable [OrderTopology α] open List in
Mathlib/Topology/Order/LeftRightNhds.lean
40
60
theorem TFAE_mem_nhdsWithin_Ioi {a b : α} (hab : a < b) (s : Set α) : TFAE [s ∈ 𝓝[>] a, s ∈ 𝓝[Ioc a b] a, s ∈ 𝓝[Ioo a b] a, ∃ u ∈ Ioc a b, Ioo a u ⊆ s, ∃ u ∈ Ioi a, Ioo a u ⊆ s] := by
tfae_have 1 ↔ 2 · rw [nhdsWithin_Ioc_eq_nhdsWithin_Ioi hab] tfae_have 1 ↔ 3 · rw [nhdsWithin_Ioo_eq_nhdsWithin_Ioi hab] tfae_have 4 → 5 · exact fun ⟨u, umem, hu⟩ => ⟨u, umem.1, hu⟩ tfae_have 5 → 1 · rintro ⟨u, hau, hu⟩ exact mem_of_superset (Ioo_mem_nhdsWithin_Ioi ⟨le_refl a, hau⟩) hu tfae_have 1 → 4 · intro h rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.1 h with ⟨v, va, hv⟩ rcases exists_Ico_subset_of_mem_nhds' va hab with ⟨u, au, hu⟩ exact ⟨u, au, fun x hx => hv ⟨hu ⟨le_of_lt hx.1, hx.2⟩, hx.1⟩⟩ tfae_finish
15
import Mathlib.CategoryTheory.Abelian.Opposite import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Kernels import Mathlib.CategoryTheory.Preadditive.LeftExact import Mathlib.CategoryTheory.Adjunction.Limits import Mathlib.Algebra.Homology.Exact import Mathlib.Tactic.TFAE #align_import category_theory.abelian.exact from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe v₁ v₂ u₁ u₂ noncomputable section open CategoryTheory Limits Preadditive variable {C : Type u₁} [Category.{v₁} C] [Abelian C] namespace CategoryTheory namespace Abelian variable {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) attribute [local instance] hasEqualizers_of_hasKernels theorem exact_iff_image_eq_kernel : Exact f g ↔ imageSubobject f = kernelSubobject g := by constructor · intro h have : IsIso (imageToKernel f g h.w) := have := h.epi; isIso_of_mono_of_epi _ refine Subobject.eq_of_comm (asIso (imageToKernel _ _ h.w)) ?_ simp · apply exact_of_image_eq_kernel #align category_theory.abelian.exact_iff_image_eq_kernel CategoryTheory.Abelian.exact_iff_image_eq_kernel
Mathlib/CategoryTheory/Abelian/Exact.lean
66
81
theorem exact_iff : Exact f g ↔ f ≫ g = 0 ∧ kernel.ι g ≫ cokernel.π f = 0 := by
constructor · exact fun h ↦ ⟨h.1, kernel_comp_cokernel f g h⟩ · refine fun h ↦ ⟨h.1, ?_⟩ suffices hl : IsLimit (KernelFork.ofι (imageSubobject f).arrow (imageSubobject_arrow_comp_eq_zero h.1)) by have : imageToKernel f g h.1 = (hl.conePointUniqueUpToIso (limit.isLimit _)).hom ≫ (kernelSubobjectIso _).inv := by ext; simp rw [this] infer_instance refine KernelFork.IsLimit.ofι _ _ (fun u hu ↦ ?_) ?_ (fun _ _ _ h ↦ ?_) · refine kernel.lift (cokernel.π f) u ?_ ≫ (imageIsoImage f).hom ≫ (imageSubobjectIso _).inv rw [← kernel.lift_ι g u hu, Category.assoc, h.2, comp_zero] · aesop_cat · rw [← cancel_mono (imageSubobject f).arrow, h] simp
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import Mathlib.Algebra.Algebra.Operations import Mathlib.Algebra.Algebra.Subalgebra.Basic import Mathlib.Algebra.Ring.Subring.Pointwise import Mathlib.RingTheory.Adjoin.Basic #align_import algebra.algebra.subalgebra.pointwise from "leanprover-community/mathlib"@"b2c707cd190a58ea0565c86695a19e99ccecc215" namespace Subalgebra section Pointwise variable {R : Type*} {A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] theorem mul_toSubmodule_le (S T : Subalgebra R A) : (Subalgebra.toSubmodule S)* (Subalgebra.toSubmodule T) ≤ Subalgebra.toSubmodule (S ⊔ T) := by rw [Submodule.mul_le] intro y hy z hz show y * z ∈ S ⊔ T exact mul_mem (Algebra.mem_sup_left hy) (Algebra.mem_sup_right hz) #align subalgebra.mul_to_submodule_le Subalgebra.mul_toSubmodule_le @[simp] theorem mul_self (S : Subalgebra R A) : (Subalgebra.toSubmodule S) * (Subalgebra.toSubmodule S) = (Subalgebra.toSubmodule S) := by apply le_antisymm · refine (mul_toSubmodule_le _ _).trans_eq ?_ rw [sup_idem] · intro x hx1 rw [← mul_one x] exact Submodule.mul_mem_mul hx1 (show (1 : A) ∈ S from one_mem S) #align subalgebra.mul_self Subalgebra.mul_self
Mathlib/Algebra/Algebra/Subalgebra/Pointwise.lean
48
65
theorem mul_toSubmodule {R : Type*} {A : Type*} [CommSemiring R] [CommSemiring A] [Algebra R A] (S T : Subalgebra R A) : (Subalgebra.toSubmodule S) * (Subalgebra.toSubmodule T) = Subalgebra.toSubmodule (S ⊔ T) := by
refine le_antisymm (mul_toSubmodule_le _ _) ?_ rintro x (hx : x ∈ Algebra.adjoin R (S ∪ T : Set A)) refine Algebra.adjoin_induction hx (fun x hx => ?_) (fun r => ?_) (fun _ _ => Submodule.add_mem _) fun x y hx hy => ?_ · cases' hx with hxS hxT · rw [← mul_one x] exact Submodule.mul_mem_mul hxS (show (1 : A) ∈ T from one_mem T) · rw [← one_mul x] exact Submodule.mul_mem_mul (show (1 : A) ∈ S from one_mem S) hxT · rw [← one_mul (algebraMap _ _ _)] exact Submodule.mul_mem_mul (show (1 : A) ∈ S from one_mem S) (algebraMap_mem T _) have := Submodule.mul_mem_mul hx hy rwa [mul_assoc, mul_comm _ (Subalgebra.toSubmodule T), ← mul_assoc _ _ (Subalgebra.toSubmodule S), mul_self, mul_comm (Subalgebra.toSubmodule T), ← mul_assoc, mul_self] at this
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import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0 theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring #align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) : HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1 rw [id, mul_one] #align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by by_cases hK : K = 0 · simp only [gronwallBound, if_pos hK, mul_zero, add_zero] · simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] #align gronwall_bound_x0 gronwallBound_x0 theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] · simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero] #align gronwall_bound_ε0 gronwallBound_ε0 theorem gronwallBound_ε0_δ0 (K x : ℝ) : gronwallBound 0 K 0 x = 0 := by simp only [gronwallBound_ε0, zero_mul] #align gronwall_bound_ε0_δ0 gronwallBound_ε0_δ0 theorem gronwallBound_continuous_ε (δ K x : ℝ) : Continuous fun ε => gronwallBound δ K ε x := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK] exact continuous_const.add (continuous_id.mul continuous_const) · simp only [gronwallBound_of_K_ne_0 hK] exact continuous_const.add ((continuous_id.mul continuous_const).mul continuous_const) #align gronwall_bound_continuous_ε gronwallBound_continuous_ε
Mathlib/Analysis/ODE/Gronwall.lean
113
132
theorem le_gronwallBound_of_liminf_deriv_right_le {f f' : ℝ → ℝ} {δ K ε : ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, (z - x)⁻¹ * (f z - f x) < r) (ha : f a ≤ δ) (bound : ∀ x ∈ Ico a b, f' x ≤ K * f x + ε) : ∀ x ∈ Icc a b, f x ≤ gronwallBound δ K ε (x - a) := by
have H : ∀ x ∈ Icc a b, ∀ ε' ∈ Ioi ε, f x ≤ gronwallBound δ K ε' (x - a) := by intro x hx ε' hε' apply image_le_of_liminf_slope_right_lt_deriv_boundary hf hf' · rwa [sub_self, gronwallBound_x0] · exact fun x => hasDerivAt_gronwallBound_shift δ K ε' x a · intro x hx hfB rw [← hfB] apply lt_of_le_of_lt (bound x hx) exact add_lt_add_left (mem_Ioi.1 hε') _ · exact hx intro x hx change f x ≤ (fun ε' => gronwallBound δ K ε' (x - a)) ε convert continuousWithinAt_const.closure_le _ _ (H x hx) · simp only [closure_Ioi, left_mem_Ici] exact (gronwallBound_continuous_ε δ K (x - a)).continuousWithinAt
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import Mathlib.Algebra.Order.Pointwise import Mathlib.Analysis.NormedSpace.SphereNormEquiv import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar open Set Function Metric MeasurableSpace intervalIntegral open scoped Pointwise ENNReal NNReal local notation "dim" => FiniteDimensional.finrank ℝ noncomputable section namespace MeasureTheory variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] namespace Measure def toSphere (μ : Measure E) : Measure (sphere (0 : E) 1) := dim E • ((μ.comap (Subtype.val ∘ (homeomorphUnitSphereProd E).symm)).restrict (univ ×ˢ Iio ⟨1, mem_Ioi.2 one_pos⟩)).fst variable (μ : Measure E) theorem toSphere_apply_aux (s : Set (sphere (0 : E) 1)) (r : Ioi (0 : ℝ)) : μ ((↑) '' (homeomorphUnitSphereProd E ⁻¹' s ×ˢ Iio r)) = μ (Ioo (0 : ℝ) r • ((↑) '' s)) := by rw [← image2_smul, image2_image_right, ← Homeomorph.image_symm, image_image, ← image_subtype_val_Ioi_Iio, image2_image_left, image2_swap, ← image_prod] rfl theorem toSphere_apply' {s : Set (sphere (0 : E) 1)} (hs : MeasurableSet s) : μ.toSphere s = dim E * μ (Ioo (0 : ℝ) 1 • ((↑) '' s)) := by rw [toSphere, smul_apply, fst_apply hs, restrict_apply (measurable_fst hs), ((MeasurableEmbedding.subtype_coe (measurableSet_singleton _).compl).comp (Homeomorph.measurableEmbedding _)).comap_apply, image_comp, Homeomorph.image_symm, univ_prod, ← Set.prod_eq, nsmul_eq_mul, toSphere_apply_aux] theorem toSphere_apply_univ' : μ.toSphere univ = dim E * μ (ball 0 1 \ {0}) := by rw [μ.toSphere_apply' .univ, image_univ, Subtype.range_coe, Ioo_smul_sphere_zero] <;> simp variable [μ.IsAddHaarMeasure] @[simp] theorem toSphere_apply_univ : μ.toSphere univ = dim E * μ (ball 0 1) := by nontriviality E rw [toSphere_apply_univ', measure_diff_null (measure_singleton _)] instance : IsFiniteMeasure μ.toSphere where measure_univ_lt_top := by rw [toSphere_apply_univ'] exact ENNReal.mul_lt_top (ENNReal.natCast_ne_top _) <| ne_top_of_le_ne_top measure_ball_lt_top.ne <| measure_mono diff_subset def volumeIoiPow (n : ℕ) : Measure (Ioi (0 : ℝ)) := .withDensity (.comap Subtype.val volume) fun r ↦ .ofReal (r.1 ^ n) lemma volumeIoiPow_apply_Iio (n : ℕ) (x : Ioi (0 : ℝ)) : volumeIoiPow n (Iio x) = ENNReal.ofReal (x.1 ^ (n + 1) / (n + 1)) := by have hr₀ : 0 ≤ x.1 := le_of_lt x.2 rw [volumeIoiPow, withDensity_apply _ measurableSet_Iio, set_lintegral_subtype measurableSet_Ioi _ fun a : ℝ ↦ .ofReal (a ^ n), image_subtype_val_Ioi_Iio, restrict_congr_set Ioo_ae_eq_Ioc, ← ofReal_integral_eq_lintegral_ofReal (intervalIntegrable_pow _).1, ← integral_of_le hr₀] · simp · filter_upwards [ae_restrict_mem measurableSet_Ioc] with y hy exact pow_nonneg hy.1.le _ def finiteSpanningSetsIn_volumeIoiPow_range_Iio (n : ℕ) : FiniteSpanningSetsIn (volumeIoiPow n) (range Iio) where set k := Iio ⟨k + 1, mem_Ioi.2 k.cast_add_one_pos⟩ set_mem k := mem_range_self _ finite k := by simp [volumeIoiPow_apply_Iio] spanning := iUnion_eq_univ_iff.2 fun x ↦ ⟨⌊x.1⌋₊, Nat.lt_floor_add_one x.1⟩ instance (n : ℕ) : SigmaFinite (volumeIoiPow n) := (finiteSpanningSetsIn_volumeIoiPow_range_Iio n).sigmaFinite
Mathlib/MeasureTheory/Constructions/HaarToSphere.lean
108
125
theorem measurePreserving_homeomorphUnitSphereProd : MeasurePreserving (homeomorphUnitSphereProd E) (μ.comap (↑)) (μ.toSphere.prod (volumeIoiPow (dim E - 1))) := by
nontriviality E refine ⟨(homeomorphUnitSphereProd E).measurable, .symm ?_⟩ refine prod_eq_generateFrom generateFrom_measurableSet ((borel_eq_generateFrom_Iio _).symm.trans BorelSpace.measurable_eq.symm) isPiSystem_measurableSet isPiSystem_Iio μ.toSphere.toFiniteSpanningSetsIn (finiteSpanningSetsIn_volumeIoiPow_range_Iio _) fun s hs ↦ forall_mem_range.2 fun r ↦ ?_ have : Ioo (0 : ℝ) r = r.1 • Ioo (0 : ℝ) 1 := by rw [LinearOrderedField.smul_Ioo r.2.out, smul_zero, smul_eq_mul, mul_one] have hpos : 0 < dim E := FiniteDimensional.finrank_pos rw [(Homeomorph.measurableEmbedding _).map_apply, toSphere_apply' _ hs, volumeIoiPow_apply_Iio, comap_subtype_coe_apply (measurableSet_singleton _).compl, toSphere_apply_aux, this, smul_assoc, μ.addHaar_smul_of_nonneg r.2.out.le, Nat.sub_add_cancel hpos, Nat.cast_pred hpos, sub_add_cancel, mul_right_comm, ← ENNReal.ofReal_natCast, ← ENNReal.ofReal_mul, mul_div_cancel₀] exacts [(Nat.cast_pos.2 hpos).ne', Nat.cast_nonneg _]
15
import Mathlib.Algebra.Category.ModuleCat.Projective import Mathlib.AlgebraicTopology.ExtraDegeneracy import Mathlib.CategoryTheory.Abelian.Ext import Mathlib.RepresentationTheory.Rep #align_import representation_theory.group_cohomology.resolution from "leanprover-community/mathlib"@"cec81510e48e579bde6acd8568c06a87af045b63" noncomputable section universe u v w variable {k G : Type u} [CommRing k] {n : ℕ} open CategoryTheory local notation "Gⁿ" => Fin n → G set_option quotPrecheck false local notation "Gⁿ⁺¹" => Fin (n + 1) → G namespace groupCohomology.resolution open Finsupp hiding lift open MonoidalCategory open Fin (partialProd) section Basis variable (k G n) [Group G] section Action open Action def actionDiagonalSucc (G : Type u) [Group G] : ∀ n : ℕ, diagonal G (n + 1) ≅ leftRegular G ⊗ Action.mk (Fin n → G) 1 | 0 => diagonalOneIsoLeftRegular G ≪≫ (ρ_ _).symm ≪≫ tensorIso (Iso.refl _) (tensorUnitIso (Equiv.equivOfUnique PUnit _).toIso) | n + 1 => diagonalSucc _ _ ≪≫ tensorIso (Iso.refl _) (actionDiagonalSucc G n) ≪≫ leftRegularTensorIso _ _ ≪≫ tensorIso (Iso.refl _) (mkIso (Equiv.piFinSuccAbove (fun _ => G) 0).symm.toIso fun _ => rfl) set_option linter.uppercaseLean3 false in #align group_cohomology.resolution.Action_diagonal_succ groupCohomology.resolution.actionDiagonalSucc
Mathlib/RepresentationTheory/GroupCohomology/Resolution.lean
108
124
theorem actionDiagonalSucc_hom_apply {G : Type u} [Group G] {n : ℕ} (f : Fin (n + 1) → G) : (actionDiagonalSucc G n).hom.hom f = (f 0, fun i => (f (Fin.castSucc i))⁻¹ * f i.succ) := by
induction' n with n hn · exact Prod.ext rfl (funext fun x => Fin.elim0 x) · refine Prod.ext rfl (funext fun x => ?_) /- Porting note (#11039): broken proof was · dsimp only [actionDiagonalSucc] simp only [Iso.trans_hom, comp_hom, types_comp_apply, diagonalSucc_hom_hom, leftRegularTensorIso_hom_hom, tensorIso_hom, mkIso_hom_hom, Equiv.toIso_hom, Action.tensorHom, Equiv.piFinSuccAbove_symm_apply, tensor_apply, types_id_apply, tensor_rho, MonoidHom.one_apply, End.one_def, hn fun j : Fin (n + 1) => f j.succ, Fin.insertNth_zero'] refine' Fin.cases (Fin.cons_zero _ _) (fun i => _) x · simp only [Fin.cons_succ, mul_left_inj, inv_inj, Fin.castSucc_fin_succ] -/ dsimp [actionDiagonalSucc] erw [hn (fun (j : Fin (n + 1)) => f j.succ)] exact Fin.cases rfl (fun i => rfl) x
15
import Mathlib.LinearAlgebra.DFinsupp import Mathlib.LinearAlgebra.StdBasis #align_import linear_algebra.finsupp_vector_space from "leanprover-community/mathlib"@"59628387770d82eb6f6dd7b7107308aa2509ec95" noncomputable section open Set LinearMap Submodule open scoped Cardinal universe u v w namespace Finsupp section Ring variable {R : Type*} {M : Type*} {ι : Type*} variable [Ring R] [AddCommGroup M] [Module R M]
Mathlib/LinearAlgebra/FinsuppVectorSpace.lean
34
51
theorem linearIndependent_single {φ : ι → Type*} {f : ∀ ι, φ ι → M} (hf : ∀ i, LinearIndependent R (f i)) : LinearIndependent R fun ix : Σi, φ i => single ix.1 (f ix.1 ix.2) := by
apply @linearIndependent_iUnion_finite R _ _ _ _ ι φ fun i x => single i (f i x) · intro i have h_disjoint : Disjoint (span R (range (f i))) (ker (lsingle i)) := by rw [ker_lsingle] exact disjoint_bot_right apply (hf i).map h_disjoint · intro i t _ hit refine (disjoint_lsingle_lsingle {i} t (disjoint_singleton_left.2 hit)).mono ?_ ?_ · rw [span_le] simp only [iSup_singleton] rw [range_coe] apply range_comp_subset_range _ (lsingle i) · refine iSup₂_mono fun i hi => ?_ rw [span_le, range_coe] apply range_comp_subset_range _ (lsingle i)
15
import Mathlib.RingTheory.Localization.Away.Basic import Mathlib.RingTheory.Ideal.Over import Mathlib.RingTheory.JacobsonIdeal #align_import ring_theory.jacobson from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0" set_option autoImplicit true universe u namespace Ideal open Polynomial open Polynomial section IsJacobson variable {R S : Type*} [CommRing R] [CommRing S] {I : Ideal R} class IsJacobson (R : Type*) [CommRing R] : Prop where out' : ∀ I : Ideal R, I.IsRadical → I.jacobson = I #align ideal.is_jacobson Ideal.IsJacobson theorem isJacobson_iff {R} [CommRing R] : IsJacobson R ↔ ∀ I : Ideal R, I.IsRadical → I.jacobson = I := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align ideal.is_jacobson_iff Ideal.isJacobson_iff theorem IsJacobson.out {R} [CommRing R] : IsJacobson R → ∀ {I : Ideal R}, I.IsRadical → I.jacobson = I := isJacobson_iff.1 #align ideal.is_jacobson.out Ideal.IsJacobson.out theorem isJacobson_iff_prime_eq : IsJacobson R ↔ ∀ P : Ideal R, IsPrime P → P.jacobson = P := by refine isJacobson_iff.trans ⟨fun h I hI => h I hI.isRadical, ?_⟩ refine fun h I hI ↦ le_antisymm (fun x hx ↦ ?_) (fun x hx ↦ mem_sInf.mpr fun _ hJ ↦ hJ.left hx) rw [← hI.radical, radical_eq_sInf I, mem_sInf] intro P hP rw [Set.mem_setOf_eq] at hP erw [mem_sInf] at hx erw [← h P hP.right, mem_sInf] exact fun J hJ => hx ⟨le_trans hP.left hJ.left, hJ.right⟩ #align ideal.is_jacobson_iff_prime_eq Ideal.isJacobson_iff_prime_eq theorem isJacobson_iff_sInf_maximal : IsJacobson R ↔ ∀ {I : Ideal R}, I.IsPrime → ∃ M : Set (Ideal R), (∀ J ∈ M, IsMaximal J ∨ J = ⊤) ∧ I = sInf M := ⟨fun H _I h => eq_jacobson_iff_sInf_maximal.1 (H.out h.isRadical), fun H => isJacobson_iff_prime_eq.2 fun _P hP => eq_jacobson_iff_sInf_maximal.2 (H hP)⟩ #align ideal.is_jacobson_iff_Inf_maximal Ideal.isJacobson_iff_sInf_maximal theorem isJacobson_iff_sInf_maximal' : IsJacobson R ↔ ∀ {I : Ideal R}, I.IsPrime → ∃ M : Set (Ideal R), (∀ J ∈ M, ∀ (K : Ideal R), J < K → K = ⊤) ∧ I = sInf M := ⟨fun H _I h => eq_jacobson_iff_sInf_maximal'.1 (H.out h.isRadical), fun H => isJacobson_iff_prime_eq.2 fun _P hP => eq_jacobson_iff_sInf_maximal'.2 (H hP)⟩ #align ideal.is_jacobson_iff_Inf_maximal' Ideal.isJacobson_iff_sInf_maximal' theorem radical_eq_jacobson [H : IsJacobson R] (I : Ideal R) : I.radical = I.jacobson := le_antisymm (le_sInf fun _J ⟨hJ, hJ_max⟩ => (IsPrime.radical_le_iff hJ_max.isPrime).mpr hJ) (H.out (radical_isRadical I) ▸ jacobson_mono le_radical) #align ideal.radical_eq_jacobson Ideal.radical_eq_jacobson instance (priority := 100) isJacobson_field {K : Type*} [Field K] : IsJacobson K := ⟨fun I _ => Or.recOn (eq_bot_or_top I) (fun h => le_antisymm (sInf_le ⟨le_rfl, h.symm ▸ bot_isMaximal⟩) (h.symm ▸ bot_le)) fun h => by rw [h, jacobson_eq_top_iff]⟩ #align ideal.is_jacobson_field Ideal.isJacobson_field theorem isJacobson_of_surjective [H : IsJacobson R] : (∃ f : R →+* S, Function.Surjective ↑f) → IsJacobson S := by rintro ⟨f, hf⟩ rw [isJacobson_iff_sInf_maximal] intro p hp use map f '' { J : Ideal R | comap f p ≤ J ∧ J.IsMaximal } use fun j ⟨J, hJ, hmap⟩ => hmap ▸ (map_eq_top_or_isMaximal_of_surjective f hf hJ.right).symm have : p = map f (comap f p).jacobson := (IsJacobson.out' _ <| hp.isRadical.comap f).symm ▸ (map_comap_of_surjective f hf p).symm exact this.trans (map_sInf hf fun J ⟨hJ, _⟩ => le_trans (Ideal.ker_le_comap f) hJ) #align ideal.is_jacobson_of_surjective Ideal.isJacobson_of_surjective instance (priority := 100) isJacobson_quotient [IsJacobson R] : IsJacobson (R ⧸ I) := isJacobson_of_surjective ⟨Quotient.mk I, by rintro ⟨x⟩ use x rfl⟩ #align ideal.is_jacobson_quotient Ideal.isJacobson_quotient theorem isJacobson_iso (e : R ≃+* S) : IsJacobson R ↔ IsJacobson S := ⟨fun h => @isJacobson_of_surjective _ _ _ _ h ⟨(e : R →+* S), e.surjective⟩, fun h => @isJacobson_of_surjective _ _ _ _ h ⟨(e.symm : S →+* R), e.symm.surjective⟩⟩ #align ideal.is_jacobson_iso Ideal.isJacobson_iso
Mathlib/RingTheory/Jacobson.lean
132
148
theorem isJacobson_of_isIntegral [Algebra R S] [Algebra.IsIntegral R S] (hR : IsJacobson R) : IsJacobson S := by
rw [isJacobson_iff_prime_eq] intro P hP by_cases hP_top : comap (algebraMap R S) P = ⊤ · simp [comap_eq_top_iff.1 hP_top] · haveI : Nontrivial (R ⧸ comap (algebraMap R S) P) := Quotient.nontrivial hP_top rw [jacobson_eq_iff_jacobson_quotient_eq_bot] refine eq_bot_of_comap_eq_bot (R := R ⧸ comap (algebraMap R S) P) ?_ rw [eq_bot_iff, ← jacobson_eq_iff_jacobson_quotient_eq_bot.1 ((isJacobson_iff_prime_eq.1 hR) (comap (algebraMap R S) P) (comap_isPrime _ _)), comap_jacobson] refine sInf_le_sInf fun J hJ => ?_ simp only [true_and_iff, Set.mem_image, bot_le, Set.mem_setOf_eq] have : J.IsMaximal := by simpa using hJ exact exists_ideal_over_maximal_of_isIntegral J (comap_bot_le_of_injective _ algebraMap_quotient_injective)
15
import Batteries.Classes.Order import Batteries.Control.ForInStep.Basic namespace Batteries namespace BinomialHeap namespace Imp inductive HeapNode (α : Type u) where | nil : HeapNode α | node (a : α) (child sibling : HeapNode α) : HeapNode α deriving Repr @[simp] def HeapNode.realSize : HeapNode α → Nat | .nil => 0 | .node _ c s => c.realSize + 1 + s.realSize def HeapNode.singleton (a : α) : HeapNode α := .node a .nil .nil def HeapNode.rank : HeapNode α → Nat | .nil => 0 | .node _ _ s => s.rank + 1 @[inline] private def HeapNode.rankTR (s : HeapNode α) : Nat := go s 0 where go : HeapNode α → Nat → Nat | .nil, r => r | .node _ _ s, r => go s (r + 1) @[csimp] private theorem HeapNode.rankTR_eq : @rankTR = @rank := by funext α s; exact go s 0 where go {α} : ∀ s n, @rankTR.go α s n = rank s + n | .nil, _ => (Nat.zero_add ..).symm | .node .., _ => by simp_arith only [rankTR.go, go, rank] inductive Heap (α : Type u) where | nil : Heap α | cons (rank : Nat) (val : α) (node : HeapNode α) (next : Heap α) : Heap α deriving Repr @[simp] def Heap.realSize : Heap α → Nat | .nil => 0 | .cons _ _ c s => c.realSize + 1 + s.realSize def Heap.size : Heap α → Nat | .nil => 0 | .cons r _ _ s => 1 <<< r + s.size @[inline] def Heap.isEmpty : Heap α → Bool | .nil => true | _ => false @[inline] def Heap.singleton (a : α) : Heap α := .cons 0 a .nil .nil def Heap.rankGT : Heap α → Nat → Prop | .nil, _ => True | .cons r .., n => n < r instance : Decidable (Heap.rankGT s n) := match s with | .nil => inferInstanceAs (Decidable True) | .cons .. => inferInstanceAs (Decidable (_ < _)) @[simp] def Heap.length : Heap α → Nat | .nil => 0 | .cons _ _ _ r => r.length + 1 @[inline] def combine (le : α → α → Bool) (a₁ a₂ : α) (n₁ n₂ : HeapNode α) : α × HeapNode α := if le a₁ a₂ then (a₁, .node a₂ n₂ n₁) else (a₂, .node a₁ n₁ n₂) @[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α | .nil, h => h | h, .nil => h | s₁@(.cons r₁ a₁ n₁ t₁), s₂@(.cons r₂ a₂ n₂ t₂) => if r₁ < r₂ then .cons r₁ a₁ n₁ (merge le t₁ s₂) else if r₂ < r₁ then .cons r₂ a₂ n₂ (merge le s₁ t₂) else let (a, n) := combine le a₁ a₂ n₁ n₂ let r := r₁ + 1 if t₁.rankGT r then if t₂.rankGT r then .cons r a n (merge le t₁ t₂) else merge le (.cons r a n t₁) t₂ else if t₂.rankGT r then merge le t₁ (.cons r a n t₂) else .cons r a n (merge le t₁ t₂) termination_by s₁ s₂ => s₁.length + s₂.length def HeapNode.toHeap (s : HeapNode α) : Heap α := go s s.rank .nil where go : HeapNode α → Nat → Heap α → Heap α | .nil, _, res => res | .node a c s, n, res => go s (n - 1) (.cons (n - 1) a c res) @[specialize] def Heap.headD (le : α → α → Bool) (a : α) : Heap α → α | .nil => a | .cons _ b _ hs => headD le (if le a b then a else b) hs @[inline] def Heap.head? (le : α → α → Bool) : Heap α → Option α | .nil => none | .cons _ h _ hs => some <| headD le h hs structure FindMin (α) where before : Heap α → Heap α := id val : α node : HeapNode α next : Heap α @[specialize] def Heap.findMin (le : α → α → Bool) (k : Heap α → Heap α) : Heap α → FindMin α → FindMin α | .nil, res => res | .cons r a c s, res => -- It is important that we check `le res.val a` here, not the other way -- around. This ensures that head? and findMin find the same element even -- when we have `le res.val a` and `le a res.val` (i.e. le is not antisymmetric). findMin le (k ∘ .cons r a c) s <| if le res.val a then res else ⟨k, a, c, s⟩ def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α) | .nil => none | .cons r a c s => let { before, val, node, next } := findMin le (.cons r a c) s ⟨id, a, c, s⟩ some (val, node.toHeap.merge le (before next)) @[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) := deleteMin le h |>.map (·.snd) @[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α := tail? le h |>.getD .nil
.lake/packages/batteries/Batteries/Data/BinomialHeap/Basic.lean
205
221
theorem Heap.realSize_merge (le) (s₁ s₂ : Heap α) : (s₁.merge le s₂).realSize = s₁.realSize + s₂.realSize := by
unfold merge; split · simp · simp · next r₁ a₁ n₁ t₁ r₂ a₂ n₂ t₂ => have IH₁ r a n := realSize_merge le t₁ (cons r a n t₂) have IH₂ r a n := realSize_merge le (cons r a n t₁) t₂ have IH₃ := realSize_merge le t₁ t₂ split; · simp [IH₁, Nat.add_assoc] split; · simp [IH₂, Nat.add_assoc, Nat.add_left_comm] split; simp only; rename_i a n eq have : n.realSize = n₁.realSize + 1 + n₂.realSize := by rw [combine] at eq; split at eq <;> cases eq <;> simp [Nat.add_assoc, Nat.add_left_comm, Nat.add_comm] split <;> split <;> simp [IH₁, IH₂, IH₃, this, Nat.add_assoc, Nat.add_left_comm] termination_by s₁.length + s₂.length
15
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 Measurability variable [MeasurableSpace G] {μ ν : Measure G} def ConvolutionExistsAt [Sub G] (f : G → E) (g : G → E') (x : G) (L : E →L[𝕜] E' →L[𝕜] F) (μ : Measure G := by volume_tac) : Prop := Integrable (fun t => L (f t) (g (x - t))) μ #align convolution_exists_at MeasureTheory.ConvolutionExistsAt def ConvolutionExists [Sub G] (f : G → E) (g : G → E') (L : E →L[𝕜] E' →L[𝕜] F) (μ : Measure G := by volume_tac) : Prop := ∀ x : G, ConvolutionExistsAt f g x L μ #align convolution_exists MeasureTheory.ConvolutionExists section ConvolutionExists variable {L} in theorem ConvolutionExistsAt.integrable [Sub G] {x : G} (h : ConvolutionExistsAt f g x L μ) : Integrable (fun t => L (f t) (g (x - t))) μ := h #align convolution_exists_at.integrable MeasureTheory.ConvolutionExistsAt.integrable section Group variable [AddGroup G] theorem AEStronglyMeasurable.convolution_integrand' [MeasurableAdd₂ G] [MeasurableNeg G] [SigmaFinite ν] (hf : AEStronglyMeasurable f ν) (hg : AEStronglyMeasurable g <| map (fun p : G × G => p.1 - p.2) (μ.prod ν)) : AEStronglyMeasurable (fun p : G × G => L (f p.2) (g (p.1 - p.2))) (μ.prod ν) := L.aestronglyMeasurable_comp₂ hf.snd <| hg.comp_measurable measurable_sub #align measure_theory.ae_strongly_measurable.convolution_integrand' MeasureTheory.AEStronglyMeasurable.convolution_integrand' section variable [MeasurableAdd G] [MeasurableNeg G] theorem AEStronglyMeasurable.convolution_integrand_snd' (hf : AEStronglyMeasurable f μ) {x : G} (hg : AEStronglyMeasurable g <| map (fun t => x - t) μ) : AEStronglyMeasurable (fun t => L (f t) (g (x - t))) μ := L.aestronglyMeasurable_comp₂ hf <| hg.comp_measurable <| measurable_id.const_sub x #align measure_theory.ae_strongly_measurable.convolution_integrand_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_snd' theorem AEStronglyMeasurable.convolution_integrand_swap_snd' {x : G} (hf : AEStronglyMeasurable f <| map (fun t => x - t) μ) (hg : AEStronglyMeasurable g μ) : AEStronglyMeasurable (fun t => L (f (x - t)) (g t)) μ := L.aestronglyMeasurable_comp₂ (hf.comp_measurable <| measurable_id.const_sub x) hg #align measure_theory.ae_strongly_measurable.convolution_integrand_swap_snd' MeasureTheory.AEStronglyMeasurable.convolution_integrand_swap_snd'
Mathlib/Analysis/Convolution.lean
216
235
theorem _root_.BddAbove.convolutionExistsAt' {x₀ : G} {s : Set G} (hbg : BddAbove ((fun i => ‖g i‖) '' ((fun t => -t + x₀) ⁻¹' s))) (hs : MeasurableSet s) (h2s : (support fun t => L (f t) (g (x₀ - t))) ⊆ s) (hf : IntegrableOn f s μ) (hmg : AEStronglyMeasurable g <| map (fun t => x₀ - t) (μ.restrict s)) : ConvolutionExistsAt f g x₀ L μ := by
rw [ConvolutionExistsAt] rw [← integrableOn_iff_integrable_of_support_subset h2s] set s' := (fun t => -t + x₀) ⁻¹' s have : ∀ᵐ t : G ∂μ.restrict s, ‖L (f t) (g (x₀ - t))‖ ≤ s.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i : s', ‖g i‖) t := by filter_upwards refine le_indicator (fun t ht => ?_) fun t ht => ?_ · apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl] refine (le_ciSup_set hbg <| mem_preimage.mpr ?_) rwa [neg_sub, sub_add_cancel] · have : t ∉ support fun t => L (f t) (g (x₀ - t)) := mt (fun h => h2s h) ht rw [nmem_support.mp this, norm_zero] refine Integrable.mono' ?_ ?_ this · rw [integrable_indicator_iff hs]; exact ((hf.norm.const_mul _).mul_const _).integrableOn · exact hf.aestronglyMeasurable.convolution_integrand_snd' L hmg
15
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Set.Sigma #align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Function Multiset variable {ι : Type*} namespace Finset section SigmaLift variable {α β γ : ι → Type*} [DecidableEq ι] def sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) : Finset (Sigma γ) := dite (a.1 = b.1) (fun h => (f (h ▸ a.2) b.2).map <| Embedding.sigmaMk _) fun _ => ∅ #align finset.sigma_lift Finset.sigmaLift
Mathlib/Data/Finset/Sigma.lean
156
173
theorem mem_sigmaLift (f : ∀ ⦃i⦄, α i → β i → Finset (γ i)) (a : Sigma α) (b : Sigma β) (x : Sigma γ) : x ∈ sigmaLift f a b ↔ ∃ (ha : a.1 = x.1) (hb : b.1 = x.1), x.2 ∈ f (ha ▸ a.2) (hb ▸ b.2) := by
obtain ⟨⟨i, a⟩, j, b⟩ := a, b obtain rfl | h := Decidable.eq_or_ne i j · constructor · simp_rw [sigmaLift] simp only [dite_eq_ite, ite_true, mem_map, Embedding.sigmaMk_apply, forall_exists_index, and_imp] rintro x hx rfl exact ⟨rfl, rfl, hx⟩ · rintro ⟨⟨⟩, ⟨⟩, hx⟩ rw [sigmaLift, dif_pos rfl, mem_map] exact ⟨_, hx, by simp [Sigma.ext_iff]⟩ · rw [sigmaLift, dif_neg h] refine iff_of_false (not_mem_empty _) ?_ rintro ⟨⟨⟩, ⟨⟩, _⟩ exact h rfl
15
import Mathlib.CategoryTheory.Limits.Preserves.Finite import Mathlib.CategoryTheory.Sites.Canonical import Mathlib.CategoryTheory.Sites.Coherent.Basic import Mathlib.CategoryTheory.Sites.Preserves universe v u w namespace CategoryTheory open Limits variable {C : Type u} [Category.{v} C] variable [FinitaryPreExtensive C] class Presieve.Extensive {X : C} (R : Presieve X) : Prop where arrows_nonempty_isColimit : ∃ (α : Type) (_ : Finite α) (Z : α → C) (π : (a : α) → (Z a ⟶ X)), R = Presieve.ofArrows Z π ∧ Nonempty (IsColimit (Cofan.mk X π)) instance {X : C} (S : Presieve X) [S.Extensive] : S.hasPullbacks where has_pullbacks := by obtain ⟨_, _, _, _, rfl, ⟨hc⟩⟩ := Presieve.Extensive.arrows_nonempty_isColimit (R := S) intro _ _ _ _ _ hg cases hg apply FinitaryPreExtensive.hasPullbacks_of_is_coproduct hc open Presieve Opposite theorem isSheafFor_extensive_of_preservesFiniteProducts {X : C} (S : Presieve X) [S.Extensive] (F : Cᵒᵖ ⥤ Type w) [PreservesFiniteProducts F] : S.IsSheafFor F := by obtain ⟨α, _, Z, π, rfl, ⟨hc⟩⟩ := Extensive.arrows_nonempty_isColimit (R := S) have : (ofArrows Z (Cofan.mk X π).inj).hasPullbacks := (inferInstance : (ofArrows Z π).hasPullbacks) cases nonempty_fintype α exact isSheafFor_of_preservesProduct _ _ hc instance {α : Type} [Finite α] (Z : α → C) : (ofArrows Z (fun i ↦ Sigma.ι Z i)).Extensive := ⟨⟨α, inferInstance, Z, (fun i ↦ Sigma.ι Z i), rfl, ⟨coproductIsCoproduct _⟩⟩⟩ theorem extensiveTopology.isSheaf_yoneda_obj (W : C) : Presieve.IsSheaf (extensiveTopology C) (yoneda.obj W) := by erw [isSheaf_coverage] intro X R ⟨Y, α, Z, π, hR, hi⟩ have : IsIso (Sigma.desc (Cofan.inj (Cofan.mk X π))) := hi have : R.Extensive := ⟨Y, α, Z, π, hR, ⟨Cofan.isColimitOfIsIsoSigmaDesc (Cofan.mk X π)⟩⟩ exact isSheafFor_extensive_of_preservesFiniteProducts _ _ theorem extensiveTopology.subcanonical : Sheaf.Subcanonical (extensiveTopology C) := Sheaf.Subcanonical.of_yoneda_isSheaf _ isSheaf_yoneda_obj theorem Presieve.isSheaf_iff_preservesFiniteProducts [FinitaryExtensive C] (F : Cᵒᵖ ⥤ Type w) : Presieve.IsSheaf (extensiveTopology C) F ↔ Nonempty (PreservesFiniteProducts F) := by refine ⟨fun hF ↦ ⟨⟨fun α _ ↦ ⟨fun {K} ↦ ?_⟩⟩⟩, fun hF ↦ ?_⟩ · erw [Presieve.isSheaf_coverage] at hF let Z : α → C := fun i ↦ unop (K.obj ⟨i⟩) have : (Presieve.ofArrows Z (Cofan.mk (∐ Z) (Sigma.ι Z)).inj).hasPullbacks := (inferInstance : (Presieve.ofArrows Z (Sigma.ι Z)).hasPullbacks) have : ∀ (i : α), Mono (Cofan.inj (Cofan.mk (∐ Z) (Sigma.ι Z)) i) := (inferInstance : ∀ (i : α), Mono (Sigma.ι Z i)) let i : K ≅ Discrete.functor (fun i ↦ op (Z i)) := Discrete.natIsoFunctor let _ : PreservesLimit (Discrete.functor (fun i ↦ op (Z i))) F := Presieve.preservesProductOfIsSheafFor F ?_ initialIsInitial _ (coproductIsCoproduct Z) (FinitaryExtensive.isPullback_initial_to_sigma_ι Z) (hF (Presieve.ofArrows Z (fun i ↦ Sigma.ι Z i)) ?_) · exact preservesLimitOfIsoDiagram F i.symm · apply hF refine ⟨Empty, inferInstance, Empty.elim, IsEmpty.elim inferInstance, rfl, ⟨default,?_, ?_⟩⟩ · ext b cases b · simp only [eq_iff_true_of_subsingleton] · refine ⟨α, inferInstance, Z, (fun i ↦ Sigma.ι Z i), rfl, ?_⟩ suffices Sigma.desc (fun i ↦ Sigma.ι Z i) = 𝟙 _ by rw [this]; infer_instance ext simp · let _ := hF.some erw [Presieve.isSheaf_coverage] intro X R ⟨Y, α, Z, π, hR, hi⟩ have : IsIso (Sigma.desc (Cofan.inj (Cofan.mk X π))) := hi have : R.Extensive := ⟨Y, α, Z, π, hR, ⟨Cofan.isColimitOfIsIsoSigmaDesc (Cofan.mk X π)⟩⟩ exact isSheafFor_extensive_of_preservesFiniteProducts R F
Mathlib/CategoryTheory/Sites/Coherent/ExtensiveSheaves.lean
115
132
theorem Presheaf.isSheaf_iff_preservesFiniteProducts {D : Type*} [Category D] [FinitaryExtensive C] (F : Cᵒᵖ ⥤ D) : IsSheaf (extensiveTopology C) F ↔ Nonempty (PreservesFiniteProducts F) := by
constructor · intro h rw [IsSheaf] at h refine ⟨⟨fun J _ ↦ ⟨fun {K} ↦ ⟨fun {c} hc ↦ ?_⟩⟩⟩⟩ apply coyonedaJointlyReflectsLimits intro ⟨E⟩ specialize h E rw [Presieve.isSheaf_iff_preservesFiniteProducts] at h have : PreservesLimit K (F.comp (coyoneda.obj ⟨E⟩)) := (h.some.preserves J).preservesLimit change IsLimit ((F.comp (coyoneda.obj ⟨E⟩)).mapCone c) apply this.preserves exact hc · intro ⟨_⟩ E rw [Presieve.isSheaf_iff_preservesFiniteProducts] exact ⟨inferInstance⟩
15
import Mathlib.Data.Set.Subsingleton import Mathlib.Order.WithBot #align_import data.set.image from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29" universe u v open Function Set namespace Set variable {α β γ : Type*} {ι ι' : Sort*}
Mathlib/Data/Set/Image.lean
629
644
theorem powerset_insert (s : Set α) (a : α) : 𝒫 insert a s = 𝒫 s ∪ insert a '' 𝒫 s := by
ext t simp_rw [mem_union, mem_image, mem_powerset_iff] constructor · intro h by_cases hs : a ∈ t · right refine ⟨t \ {a}, ?_, ?_⟩ · rw [diff_singleton_subset_iff] assumption · rw [insert_diff_singleton, insert_eq_of_mem hs] · left exact (subset_insert_iff_of_not_mem hs).mp h · rintro (h | ⟨s', h₁, rfl⟩) · exact subset_trans h (subset_insert a s) · exact insert_subset_insert h₁
15
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.MeasureTheory.Integral.Layercake import Mathlib.MeasureTheory.Integral.BoundedContinuousFunction #align_import measure_theory.measure.portmanteau from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open MeasureTheory Set Filter BoundedContinuousFunction open scoped Topology ENNReal NNReal BoundedContinuousFunction namespace MeasureTheory section LimsupClosedLEAndLELiminfOpen variable {Ω : Type*} [MeasurableSpace Ω] theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω} {μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω} (E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) : μ Eᶜ ≤ L.liminf fun i => μs i Eᶜ := by rcases L.eq_or_neBot with rfl | hne · simp only [liminf_bot, le_top] have meas_Ec : μ Eᶜ = 1 - μ E := by simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by intro i simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne simp_rw [meas_Ec, meas_i_Ec] have obs : (L.liminf fun i : ι => 1 - μs i E) = L.liminf ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl rw [obs] have := antitone_const_tsub.map_limsup_of_continuousAt (F := L) (fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt simp_rw [← this] exact antitone_const_tsub h #align measure_theory.le_measure_compl_liminf_of_limsup_measure_le MeasureTheory.le_measure_compl_liminf_of_limsup_measure_le theorem le_measure_liminf_of_limsup_measure_compl_le {ι : Type*} {L : Filter ι} {μ : Measure Ω} {μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω} (E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ) : μ E ≤ L.liminf fun i => μs i E := compl_compl E ▸ le_measure_compl_liminf_of_limsup_measure_le (MeasurableSet.compl E_mble) h #align measure_theory.le_measure_liminf_of_limsup_measure_compl_le MeasureTheory.le_measure_liminf_of_limsup_measure_compl_le
Mathlib/MeasureTheory/Measure/Portmanteau.lean
133
151
theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω} {μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω} (E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) : (L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.eq_or_neBot with rfl | hne · simp only [limsup_bot, bot_le] have meas_Ec : μ Eᶜ = 1 - μ E := by simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by intro i simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne simp_rw [meas_Ec, meas_i_Ec] have obs : (L.limsup fun i : ι => 1 - μs i E) = L.limsup ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl rw [obs] have := antitone_const_tsub.map_liminf_of_continuousAt (F := L) (fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt simp_rw [← this] exact antitone_const_tsub h
15
import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic import Mathlib.CategoryTheory.Monoidal.Functorial import Mathlib.CategoryTheory.Monoidal.Types.Basic import Mathlib.LinearAlgebra.DirectSum.Finsupp import Mathlib.CategoryTheory.Linear.LinearFunctor #align_import algebra.category.Module.adjunctions from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4" set_option linter.uppercaseLean3 false -- `Module` noncomputable section open CategoryTheory namespace ModuleCat universe u open scoped Classical variable (R : Type u) section variable [Ring R] @[simps] def free : Type u ⥤ ModuleCat R where obj X := ModuleCat.of R (X →₀ R) map {X Y} f := Finsupp.lmapDomain _ _ f map_id := by intros; exact Finsupp.lmapDomain_id _ _ map_comp := by intros; exact Finsupp.lmapDomain_comp _ _ _ _ #align Module.free ModuleCat.free def adj : free R ⊣ forget (ModuleCat.{u} R) := Adjunction.mkOfHomEquiv { homEquiv := fun X M => (Finsupp.lift M R X).toEquiv.symm homEquiv_naturality_left_symm := fun {_ _} M f g => Finsupp.lhom_ext' fun x => LinearMap.ext_ring (Finsupp.sum_mapDomain_index_addMonoidHom fun y => (smulAddHom R M).flip (g y)).symm } #align Module.adj ModuleCat.adj instance : (forget (ModuleCat.{u} R)).IsRightAdjoint := (adj R).isRightAdjoint end namespace Free open MonoidalCategory variable [CommRing R] attribute [local ext] TensorProduct.ext def ε : 𝟙_ (ModuleCat.{u} R) ⟶ (free R).obj (𝟙_ (Type u)) := Finsupp.lsingle PUnit.unit #align Module.free.ε ModuleCat.Free.ε -- This lemma has always been bad, but lean4#2644 made `simp` start noticing @[simp, nolint simpNF] theorem ε_apply (r : R) : ε R r = Finsupp.single PUnit.unit r := rfl #align Module.free.ε_apply ModuleCat.Free.ε_apply def μ (α β : Type u) : (free R).obj α ⊗ (free R).obj β ≅ (free R).obj (α ⊗ β) := (finsuppTensorFinsupp' R α β).toModuleIso #align Module.free.μ ModuleCat.Free.μ theorem μ_natural {X Y X' Y' : Type u} (f : X ⟶ Y) (g : X' ⟶ Y') : ((free R).map f ⊗ (free R).map g) ≫ (μ R Y Y').hom = (μ R X X').hom ≫ (free R).map (f ⊗ g) := by -- Porting note (#11041): broken ext apply TensorProduct.ext apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply Finsupp.lhom_ext' intro x' apply LinearMap.ext_ring apply Finsupp.ext intro ⟨y, y'⟩ -- Porting note (#10934): used to be dsimp [μ] change (finsuppTensorFinsupp' R Y Y') (Finsupp.mapDomain f (Finsupp.single x 1) ⊗ₜ[R] Finsupp.mapDomain g (Finsupp.single x' 1)) _ = (Finsupp.mapDomain (f ⊗ g) (finsuppTensorFinsupp' R X X' (Finsupp.single x 1 ⊗ₜ[R] Finsupp.single x' 1))) _ -- extra `rfl` after leanprover/lean4#2466 simp_rw [Finsupp.mapDomain_single, finsuppTensorFinsupp'_single_tmul_single, mul_one, Finsupp.mapDomain_single, CategoryTheory.tensor_apply]; rfl #align Module.free.μ_natural ModuleCat.Free.μ_natural theorem left_unitality (X : Type u) : (λ_ ((free R).obj X)).hom = (ε R ⊗ 𝟙 ((free R).obj X)) ≫ (μ R (𝟙_ (Type u)) X).hom ≫ map (free R).obj (λ_ X).hom := by -- Porting note (#11041): broken ext apply TensorProduct.ext apply LinearMap.ext_ring apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply Finsupp.ext intro x' -- Porting note (#10934): used to be dsimp [ε, μ] let q : X →₀ R := ((λ_ (of R (X →₀ R))).hom) (1 ⊗ₜ[R] Finsupp.single x 1) change q x' = Finsupp.mapDomain (λ_ X).hom (finsuppTensorFinsupp' R (𝟙_ (Type u)) X (Finsupp.single PUnit.unit 1 ⊗ₜ[R] Finsupp.single x 1)) x' simp_rw [q, finsuppTensorFinsupp'_single_tmul_single, ModuleCat.MonoidalCategory.leftUnitor_hom_apply, mul_one, Finsupp.mapDomain_single, CategoryTheory.leftUnitor_hom_apply, one_smul] #align Module.free.left_unitality ModuleCat.Free.left_unitality
Mathlib/Algebra/Category/ModuleCat/Adjunctions.lean
132
149
theorem right_unitality (X : Type u) : (ρ_ ((free R).obj X)).hom = (𝟙 ((free R).obj X) ⊗ ε R) ≫ (μ R X (𝟙_ (Type u))).hom ≫ map (free R).obj (ρ_ X).hom := by
-- Porting note (#11041): broken ext apply TensorProduct.ext apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply LinearMap.ext_ring apply Finsupp.ext intro x' -- Porting note (#10934): used to be dsimp [ε, μ] let q : X →₀ R := ((ρ_ (of R (X →₀ R))).hom) (Finsupp.single x 1 ⊗ₜ[R] 1) change q x' = Finsupp.mapDomain (ρ_ X).hom (finsuppTensorFinsupp' R X (𝟙_ (Type u)) (Finsupp.single x 1 ⊗ₜ[R] Finsupp.single PUnit.unit 1)) x' simp_rw [q, finsuppTensorFinsupp'_single_tmul_single, ModuleCat.MonoidalCategory.rightUnitor_hom_apply, mul_one, Finsupp.mapDomain_single, CategoryTheory.rightUnitor_hom_apply, one_smul]
15
import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Ring.Rat import Mathlib.Data.Multiset.Sort import Mathlib.Data.PNat.Basic import Mathlib.Data.PNat.Interval import Mathlib.Tactic.NormNum import Mathlib.Tactic.IntervalCases #align_import number_theory.ADE_inequality from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" namespace ADEInequality open Multiset -- Porting note: ADE is a special name, exceptionally in upper case in Lean3 set_option linter.uppercaseLean3 false def A' (q r : ℕ+) : Multiset ℕ+ := {1, q, r} #align ADE_inequality.A' ADEInequality.A' def A (r : ℕ+) : Multiset ℕ+ := A' 1 r #align ADE_inequality.A ADEInequality.A def D' (r : ℕ+) : Multiset ℕ+ := {2, 2, r} #align ADE_inequality.D' ADEInequality.D' def E' (r : ℕ+) : Multiset ℕ+ := {2, 3, r} #align ADE_inequality.E' ADEInequality.E' def E6 : Multiset ℕ+ := E' 3 #align ADE_inequality.E6 ADEInequality.E6 def E7 : Multiset ℕ+ := E' 4 #align ADE_inequality.E7 ADEInequality.E7 def E8 : Multiset ℕ+ := E' 5 #align ADE_inequality.E8 ADEInequality.E8 def sumInv (pqr : Multiset ℕ+) : ℚ := Multiset.sum (pqr.map fun (x : ℕ+) => x⁻¹) #align ADE_inequality.sum_inv ADEInequality.sumInv theorem sumInv_pqr (p q r : ℕ+) : sumInv {p, q, r} = (p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ := by simp only [sumInv, add_zero, insert_eq_cons, add_assoc, map_cons, sum_cons, map_singleton, sum_singleton] #align ADE_inequality.sum_inv_pqr ADEInequality.sumInv_pqr def Admissible (pqr : Multiset ℕ+) : Prop := (∃ q r, A' q r = pqr) ∨ (∃ r, D' r = pqr) ∨ E' 3 = pqr ∨ E' 4 = pqr ∨ E' 5 = pqr #align ADE_inequality.admissible ADEInequality.Admissible theorem admissible_A' (q r : ℕ+) : Admissible (A' q r) := Or.inl ⟨q, r, rfl⟩ #align ADE_inequality.admissible_A' ADEInequality.admissible_A' theorem admissible_D' (n : ℕ+) : Admissible (D' n) := Or.inr <| Or.inl ⟨n, rfl⟩ #align ADE_inequality.admissible_D' ADEInequality.admissible_D' theorem admissible_E'3 : Admissible (E' 3) := Or.inr <| Or.inr <| Or.inl rfl #align ADE_inequality.admissible_E'3 ADEInequality.admissible_E'3 theorem admissible_E'4 : Admissible (E' 4) := Or.inr <| Or.inr <| Or.inr <| Or.inl rfl #align ADE_inequality.admissible_E'4 ADEInequality.admissible_E'4 theorem admissible_E'5 : Admissible (E' 5) := Or.inr <| Or.inr <| Or.inr <| Or.inr rfl #align ADE_inequality.admissible_E'5 ADEInequality.admissible_E'5 theorem admissible_E6 : Admissible E6 := admissible_E'3 #align ADE_inequality.admissible_E6 ADEInequality.admissible_E6 theorem admissible_E7 : Admissible E7 := admissible_E'4 #align ADE_inequality.admissible_E7 ADEInequality.admissible_E7 theorem admissible_E8 : Admissible E8 := admissible_E'5 #align ADE_inequality.admissible_E8 ADEInequality.admissible_E8 theorem Admissible.one_lt_sumInv {pqr : Multiset ℕ+} : Admissible pqr → 1 < sumInv pqr := by rw [Admissible] rintro (⟨p', q', H⟩ | ⟨n, H⟩ | H | H | H) · rw [← H, A', sumInv_pqr, add_assoc] simp only [lt_add_iff_pos_right, PNat.one_coe, inv_one, Nat.cast_one] apply add_pos <;> simp only [PNat.pos, Nat.cast_pos, inv_pos] · rw [← H, D', sumInv_pqr] conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe] norm_num all_goals rw [← H, E', sumInv_pqr] conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe] rfl #align ADE_inequality.admissible.one_lt_sum_inv ADEInequality.Admissible.one_lt_sumInv theorem lt_three {p q r : ℕ+} (hpq : p ≤ q) (hqr : q ≤ r) (H : 1 < sumInv {p, q, r}) : p < 3 := by have h3 : (0 : ℚ) < 3 := by norm_num contrapose! H rw [sumInv_pqr] have h3q := H.trans hpq have h3r := h3q.trans hqr have hp: (p : ℚ)⁻¹ ≤ 3⁻¹ := by rw [inv_le_inv _ h3] · assumption_mod_cast · norm_num have hq: (q : ℚ)⁻¹ ≤ 3⁻¹ := by rw [inv_le_inv _ h3] · assumption_mod_cast · norm_num have hr: (r : ℚ)⁻¹ ≤ 3⁻¹ := by rw [inv_le_inv _ h3] · assumption_mod_cast · norm_num calc (p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ ≤ 3⁻¹ + 3⁻¹ + 3⁻¹ := add_le_add (add_le_add hp hq) hr _ = 1 := by norm_num #align ADE_inequality.lt_three ADEInequality.lt_three
Mathlib/NumberTheory/ADEInequality.lean
198
213
theorem lt_four {q r : ℕ+} (hqr : q ≤ r) (H : 1 < sumInv {2, q, r}) : q < 4 := by
have h4 : (0 : ℚ) < 4 := by norm_num contrapose! H rw [sumInv_pqr] have h4r := H.trans hqr have hq: (q : ℚ)⁻¹ ≤ 4⁻¹ := by rw [inv_le_inv _ h4] · assumption_mod_cast · norm_num have hr: (r : ℚ)⁻¹ ≤ 4⁻¹ := by rw [inv_le_inv _ h4] · assumption_mod_cast · norm_num calc (2⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹) ≤ 2⁻¹ + 4⁻¹ + 4⁻¹ := add_le_add (add_le_add le_rfl hq) hr _ = 1 := by norm_num
15
import Mathlib.CategoryTheory.FinCategory.Basic import Mathlib.CategoryTheory.Limits.Cones import Mathlib.CategoryTheory.Limits.Shapes.FiniteLimits import Mathlib.CategoryTheory.Adjunction.Basic import Mathlib.CategoryTheory.Category.Preorder import Mathlib.CategoryTheory.Category.ULift import Mathlib.CategoryTheory.PEmpty #align_import category_theory.filtered from "leanprover-community/mathlib"@"14e80e85cbca5872a329fbfd3d1f3fd64e306934" open Function -- declare the `v`'s first; see `CategoryTheory.Category` for an explanation universe w v v₁ u u₁ u₂ namespace CategoryTheory variable (C : Type u) [Category.{v} C] class IsFilteredOrEmpty : Prop where cocone_objs : ∀ X Y : C, ∃ (Z : _) (_ : X ⟶ Z) (_ : Y ⟶ Z), True cocone_maps : ∀ ⦃X Y : C⦄ (f g : X ⟶ Y), ∃ (Z : _) (h : Y ⟶ Z), f ≫ h = g ≫ h #align category_theory.is_filtered_or_empty CategoryTheory.IsFilteredOrEmpty class IsFiltered extends IsFilteredOrEmpty C : Prop where [nonempty : Nonempty C] #align category_theory.is_filtered CategoryTheory.IsFiltered instance (priority := 100) isFilteredOrEmpty_of_semilatticeSup (α : Type u) [SemilatticeSup α] : IsFilteredOrEmpty α where cocone_objs X Y := ⟨X ⊔ Y, homOfLE le_sup_left, homOfLE le_sup_right, trivial⟩ cocone_maps X Y f g := ⟨Y, 𝟙 _, by apply ULift.ext apply Subsingleton.elim⟩ #align category_theory.is_filtered_or_empty_of_semilattice_sup CategoryTheory.isFilteredOrEmpty_of_semilatticeSup instance (priority := 100) isFiltered_of_semilatticeSup_nonempty (α : Type u) [SemilatticeSup α] [Nonempty α] : IsFiltered α where #align category_theory.is_filtered_of_semilattice_sup_nonempty CategoryTheory.isFiltered_of_semilatticeSup_nonempty instance (priority := 100) isFilteredOrEmpty_of_directed_le (α : Type u) [Preorder α] [IsDirected α (· ≤ ·)] : IsFilteredOrEmpty α where cocone_objs X Y := let ⟨Z, h1, h2⟩ := exists_ge_ge X Y ⟨Z, homOfLE h1, homOfLE h2, trivial⟩ cocone_maps X Y f g := ⟨Y, 𝟙 _, by apply ULift.ext apply Subsingleton.elim⟩ #align category_theory.is_filtered_or_empty_of_directed_le CategoryTheory.isFilteredOrEmpty_of_directed_le instance (priority := 100) isFiltered_of_directed_le_nonempty (α : Type u) [Preorder α] [IsDirected α (· ≤ ·)] [Nonempty α] : IsFiltered α where #align category_theory.is_filtered_of_directed_le_nonempty CategoryTheory.isFiltered_of_directed_le_nonempty -- Sanity checks example (α : Type u) [SemilatticeSup α] [OrderBot α] : IsFiltered α := by infer_instance example (α : Type u) [SemilatticeSup α] [OrderTop α] : IsFiltered α := by infer_instance instance : IsFiltered (Discrete PUnit) where cocone_objs X Y := ⟨⟨PUnit.unit⟩, ⟨⟨by trivial⟩⟩, ⟨⟨Subsingleton.elim _ _⟩⟩, trivial⟩ cocone_maps X Y f g := ⟨⟨PUnit.unit⟩, ⟨⟨by trivial⟩⟩, by apply ULift.ext apply Subsingleton.elim⟩ namespace IsFiltered namespace IsFiltered section OfCocone open CategoryTheory.Limits
Mathlib/CategoryTheory/Filtered/Basic.lean
372
388
theorem of_cocone_nonempty (h : ∀ {J : Type w} [SmallCategory J] [FinCategory J] (F : J ⥤ C), Nonempty (Cocone F)) : IsFiltered C := by
have : Nonempty C := by obtain ⟨c⟩ := h (Functor.empty _) exact ⟨c.pt⟩ have : IsFilteredOrEmpty C := by refine ⟨?_, ?_⟩ · intros X Y obtain ⟨c⟩ := h (ULiftHom.down ⋙ ULift.downFunctor ⋙ pair X Y) exact ⟨c.pt, c.ι.app ⟨⟨WalkingPair.left⟩⟩, c.ι.app ⟨⟨WalkingPair.right⟩⟩, trivial⟩ · intros X Y f g obtain ⟨c⟩ := h (ULiftHom.down ⋙ ULift.downFunctor ⋙ parallelPair f g) refine ⟨c.pt, c.ι.app ⟨WalkingParallelPair.one⟩, ?_⟩ have h₁ := c.ι.naturality ⟨WalkingParallelPairHom.left⟩ have h₂ := c.ι.naturality ⟨WalkingParallelPairHom.right⟩ simp_all apply IsFiltered.mk
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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 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)] #align ring_of_integers.dvd_norm RingOfIntegers.dvd_norm variable (F : Type*) [Field F] [Algebra K F] [IsSeparable K F] [FiniteDimensional K F] theorem norm_norm [IsSeparable K L] [Algebra F L] [IsSeparable F L] [FiniteDimensional F L] [IsScalarTower K F L] (x : 𝓞 L) : norm K (norm F x) = norm K x := by rw [RingOfIntegers.ext_iff, coe_norm, coe_norm, coe_norm, Algebra.norm_norm] #align ring_of_integers.norm_norm RingOfIntegers.norm_norm variable {F}
Mathlib/NumberTheory/NumberField/Norm.lean
111
126
theorem isUnit_norm [CharZero K] {x : 𝓞 F} : IsUnit (norm K x) ↔ IsUnit x := by
letI : Algebra K (AlgebraicClosure K) := AlgebraicClosure.instAlgebra K let L := normalClosure K F (AlgebraicClosure F) haveI : FiniteDimensional F L := FiniteDimensional.right K F L haveI : IsAlgClosure K (AlgebraicClosure F) := IsAlgClosure.ofAlgebraic K F (AlgebraicClosure F) haveI : IsGalois F L := IsGalois.tower_top_of_isGalois K F L calc IsUnit (norm K x) ↔ IsUnit ((norm K) x ^ finrank F L) := (isUnit_pow_iff (pos_iff_ne_zero.mp finrank_pos)).symm _ ↔ IsUnit (norm K (algebraMap (𝓞 F) (𝓞 L) x)) := by rw [← norm_norm K F (algebraMap (𝓞 F) (𝓞 L) x), norm_algebraMap F _, map_pow] _ ↔ IsUnit (algebraMap (𝓞 F) (𝓞 L) x) := isUnit_norm_of_isGalois K _ ↔ IsUnit (norm F (algebraMap (𝓞 F) (𝓞 L) x)) := (isUnit_norm_of_isGalois F).symm _ ↔ IsUnit (x ^ finrank F L) := (congr_arg IsUnit (norm_algebraMap F _)).to_iff _ ↔ IsUnit x := isUnit_pow_iff (pos_iff_ne_zero.mp finrank_pos)
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import Mathlib.Algebra.Polynomial.Div import Mathlib.Logic.Function.Basic import Mathlib.RingTheory.Localization.FractionRing import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.LinearCombination #align_import data.polynomial.partial_fractions from "leanprover-community/mathlib"@"6e70e0d419bf686784937d64ed4bfde866ff229e" variable (R : Type) [CommRing R] [IsDomain R] open Polynomial variable (K : Type) [Field K] [Algebra R[X] K] [IsFractionRing R[X] K] section TwoDenominators -- Porting note: added for scoped `Algebra.cast` instance open algebraMap
Mathlib/Algebra/Polynomial/PartialFractions.lean
60
79
theorem div_eq_quo_add_rem_div_add_rem_div (f : R[X]) {g₁ g₂ : R[X]} (hg₁ : g₁.Monic) (hg₂ : g₂.Monic) (hcoprime : IsCoprime g₁ g₂) : ∃ q r₁ r₂ : R[X], r₁.degree < g₁.degree ∧ r₂.degree < g₂.degree ∧ (f : K) / (↑g₁ * ↑g₂) = ↑q + ↑r₁ / ↑g₁ + ↑r₂ / ↑g₂ := by
rcases hcoprime with ⟨c, d, hcd⟩ refine ⟨f * d /ₘ g₁ + f * c /ₘ g₂, f * d %ₘ g₁, f * c %ₘ g₂, degree_modByMonic_lt _ hg₁, degree_modByMonic_lt _ hg₂, ?_⟩ have hg₁' : (↑g₁ : K) ≠ 0 := by norm_cast exact hg₁.ne_zero have hg₂' : (↑g₂ : K) ≠ 0 := by norm_cast exact hg₂.ne_zero have hfc := modByMonic_add_div (f * c) hg₂ have hfd := modByMonic_add_div (f * d) hg₁ field_simp norm_cast linear_combination -1 * f * hcd + -1 * g₁ * hfc + -1 * g₂ * hfd
15
import Mathlib.CategoryTheory.EqToHom import Mathlib.CategoryTheory.Quotient import Mathlib.Combinatorics.Quiver.Path #align_import category_theory.path_category from "leanprover-community/mathlib"@"c6dd521ebdce53bb372c527569dd7c25de53a08b" universe v₁ v₂ u₁ u₂ namespace CategoryTheory section def Paths (V : Type u₁) : Type u₁ := V #align category_theory.paths CategoryTheory.Paths instance (V : Type u₁) [Inhabited V] : Inhabited (Paths V) := ⟨(default : V)⟩ variable (V : Type u₁) [Quiver.{v₁ + 1} V] namespace Paths instance categoryPaths : Category.{max u₁ v₁} (Paths V) where Hom := fun X Y : V => Quiver.Path X Y id X := Quiver.Path.nil comp f g := Quiver.Path.comp f g #align category_theory.paths.category_paths CategoryTheory.Paths.categoryPaths variable {V} @[simps] def of : V ⥤q Paths V where obj X := X map f := f.toPath #align category_theory.paths.of CategoryTheory.Paths.of attribute [local ext] Functor.ext def lift {C} [Category C] (φ : V ⥤q C) : Paths V ⥤ C where obj := φ.obj map {X} {Y} f := @Quiver.Path.rec V _ X (fun Y _ => φ.obj X ⟶ φ.obj Y) (𝟙 <| φ.obj X) (fun _ f ihp => ihp ≫ φ.map f) Y f map_id X := rfl map_comp f g := by induction' g with _ _ g' p ih _ _ _ · rw [Category.comp_id] rfl · have : f ≫ Quiver.Path.cons g' p = (f ≫ g').cons p := by apply Quiver.Path.comp_cons rw [this] simp only at ih ⊢ rw [ih, Category.assoc] #align category_theory.paths.lift CategoryTheory.Paths.lift @[simp] theorem lift_nil {C} [Category C] (φ : V ⥤q C) (X : V) : (lift φ).map Quiver.Path.nil = 𝟙 (φ.obj X) := rfl #align category_theory.paths.lift_nil CategoryTheory.Paths.lift_nil @[simp] theorem lift_cons {C} [Category C] (φ : V ⥤q C) {X Y Z : V} (p : Quiver.Path X Y) (f : Y ⟶ Z) : (lift φ).map (p.cons f) = (lift φ).map p ≫ φ.map f := rfl #align category_theory.paths.lift_cons CategoryTheory.Paths.lift_cons @[simp] theorem lift_toPath {C} [Category C] (φ : V ⥤q C) {X Y : V} (f : X ⟶ Y) : (lift φ).map f.toPath = φ.map f := by dsimp [Quiver.Hom.toPath, lift] simp #align category_theory.paths.lift_to_path CategoryTheory.Paths.lift_toPath theorem lift_spec {C} [Category C] (φ : V ⥤q C) : of ⋙q (lift φ).toPrefunctor = φ := by fapply Prefunctor.ext · rintro X rfl · rintro X Y f rcases φ with ⟨φo, φm⟩ dsimp [lift, Quiver.Hom.toPath] simp only [Category.id_comp] #align category_theory.paths.lift_spec CategoryTheory.Paths.lift_spec
Mathlib/CategoryTheory/PathCategory.lean
103
119
theorem lift_unique {C} [Category C] (φ : V ⥤q C) (Φ : Paths V ⥤ C) (hΦ : of ⋙q Φ.toPrefunctor = φ) : Φ = lift φ := by
subst_vars fapply Functor.ext · rintro X rfl · rintro X Y f dsimp [lift] induction' f with _ _ p f' ih · simp only [Category.comp_id] apply Functor.map_id · simp only [Category.comp_id, Category.id_comp] at ih ⊢ -- Porting note: Had to do substitute `p.cons f'` and `f'.toPath` by their fully qualified -- versions in this `have` clause (elsewhere too). have : Φ.map (Quiver.Path.cons p f') = Φ.map p ≫ Φ.map (Quiver.Hom.toPath f') := by convert Functor.map_comp Φ p (Quiver.Hom.toPath f') rw [this, ih]
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import Mathlib.Algebra.CharP.Invertible import Mathlib.Data.Real.Sqrt import Mathlib.Tactic.Polyrith #align_import algebra.star.chsh from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004" universe u --@[nolint has_nonempty_instance] Porting note(#5171): linter not ported yet structure IsCHSHTuple {R} [Monoid R] [StarMul R] (A₀ A₁ B₀ B₁ : R) : Prop where A₀_inv : A₀ ^ 2 = 1 A₁_inv : A₁ ^ 2 = 1 B₀_inv : B₀ ^ 2 = 1 B₁_inv : B₁ ^ 2 = 1 A₀_sa : star A₀ = A₀ A₁_sa : star A₁ = A₁ B₀_sa : star B₀ = B₀ B₁_sa : star B₁ = B₁ A₀B₀_commutes : A₀ * B₀ = B₀ * A₀ A₀B₁_commutes : A₀ * B₁ = B₁ * A₀ A₁B₀_commutes : A₁ * B₀ = B₀ * A₁ A₁B₁_commutes : A₁ * B₁ = B₁ * A₁ set_option linter.uppercaseLean3 false in #align is_CHSH_tuple IsCHSHTuple variable {R : Type u} theorem CHSH_id [CommRing R] {A₀ A₁ B₀ B₁ : R} (A₀_inv : A₀ ^ 2 = 1) (A₁_inv : A₁ ^ 2 = 1) (B₀_inv : B₀ ^ 2 = 1) (B₁_inv : B₁ ^ 2 = 1) : (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) = 4 * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) := by -- polyrith suggests: linear_combination (2 * B₀ * B₁ + 2) * A₀_inv + (B₀ ^ 2 - 2 * B₀ * B₁ + B₁ ^ 2) * A₁_inv + (A₀ ^ 2 + 2 * A₀ * A₁ + 1) * B₀_inv + (A₀ ^ 2 - 2 * A₀ * A₁ + 1) * B₁_inv set_option linter.uppercaseLean3 false in #align CHSH_id CHSH_id
Mathlib/Algebra/Star/CHSH.lean
121
138
theorem CHSH_inequality_of_comm [OrderedCommRing R] [StarRing R] [StarOrderedRing R] [Algebra ℝ R] [OrderedSMul ℝ R] (A₀ A₁ B₀ B₁ : R) (T : IsCHSHTuple A₀ A₁ B₀ B₁) : A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2 := by
let P := 2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁ have i₁ : 0 ≤ P := by have idem : P * P = 4 * P := CHSH_id T.A₀_inv T.A₁_inv T.B₀_inv T.B₁_inv have idem' : P = (1 / 4 : ℝ) • (P * P) := by have h : 4 * P = (4 : ℝ) • P := by simp [Algebra.smul_def] rw [idem, h, ← mul_smul] norm_num have sa : star P = P := by dsimp [P] simp only [star_add, star_sub, star_mul, star_ofNat, star_one, T.A₀_sa, T.A₁_sa, T.B₀_sa, T.B₁_sa, mul_comm B₀, mul_comm B₁] simpa only [← idem', sa] using smul_nonneg (by norm_num : (0 : ℝ) ≤ 1 / 4) (star_mul_self_nonneg P) apply le_of_sub_nonneg simpa only [sub_add_eq_sub_sub, ← sub_add] using i₁
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import Mathlib.MeasureTheory.Measure.ProbabilityMeasure import Mathlib.MeasureTheory.Measure.Lebesgue.Basic import Mathlib.MeasureTheory.Integral.Layercake import Mathlib.MeasureTheory.Integral.BoundedContinuousFunction #align_import measure_theory.measure.portmanteau from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open MeasureTheory Set Filter BoundedContinuousFunction open scoped Topology ENNReal NNReal BoundedContinuousFunction namespace MeasureTheory section LimsupClosedLEAndLELiminfOpen variable {Ω : Type*} [MeasurableSpace Ω]
Mathlib/MeasureTheory/Measure/Portmanteau.lean
105
123
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω} {μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω} (E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) : μ Eᶜ ≤ L.liminf fun i => μs i Eᶜ := by
rcases L.eq_or_neBot with rfl | hne · simp only [liminf_bot, le_top] have meas_Ec : μ Eᶜ = 1 - μ E := by simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by intro i simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne simp_rw [meas_Ec, meas_i_Ec] have obs : (L.liminf fun i : ι => 1 - μs i E) = L.liminf ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl rw [obs] have := antitone_const_tsub.map_limsup_of_continuousAt (F := L) (fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt simp_rw [← this] exact antitone_const_tsub h
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import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Nilpotent import Mathlib.Order.Radical def frattini (G : Type*) [Group G] : Subgroup G := Order.radical (Subgroup G) variable {G H : Type*} [Group G] [Group H] {φ : G →* H} (hφ : Function.Surjective φ) lemma frattini_le_coatom {K : Subgroup G} (h : IsCoatom K) : frattini G ≤ K := Order.radical_le_coatom h open Subgroup lemma frattini_le_comap_frattini_of_surjective : frattini G ≤ (frattini H).comap φ := by simp_rw [frattini, Order.radical, comap_iInf, le_iInf_iff] intro M hM apply biInf_le exact isCoatom_comap_of_surjective hφ hM instance frattini_characteristic : (frattini G).Characteristic := by rw [characteristic_iff_comap_eq] intro φ apply φ.comapSubgroup.map_radical theorem frattini_nongenerating [IsCoatomic (Subgroup G)] {K : Subgroup G} (h : K ⊔ frattini G = ⊤) : K = ⊤ := Order.radical_nongenerating h -- The Sylow files unnecessarily use `Fintype` (computable) where often `Finite` would suffice, -- so we need this: attribute [local instance] Fintype.ofFinite
Mathlib/GroupTheory/Frattini.lean
59
74
theorem frattini_nilpotent [Finite G] : Group.IsNilpotent (frattini G) := by
-- We use the characterisation of nilpotency in terms of all Sylow subgroups being normal. have q := (isNilpotent_of_finite_tfae (G := frattini G)).out 0 3 rw [q]; clear q -- Consider each prime `p` and Sylow `p`-subgroup `P` of `frattini G`. intro p p_prime P -- The Frattini argument shows that the normalizer of `P` in `G` -- together with `frattini G` generates `G`. have frattini_argument := Sylow.normalizer_sup_eq_top P -- and hence by the nongenerating property of the Frattini subgroup that -- the normalizer of `P` in `G` is `G`. have normalizer_P := frattini_nongenerating frattini_argument -- This means that `P` is normal as a subgroup of `G` have P_normal_in_G : (map (frattini G).subtype ↑P).Normal := normalizer_eq_top.mp normalizer_P -- and hence also as a subgroup of `frattini G`, which was the remaining goal. exact P_normal_in_G.of_map_subtype
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import Mathlib.Algebra.Associated import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Algebra.Order.Group.Abs import Mathlib.Algebra.Ring.Divisibility.Basic #align_import ring_theory.prime from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" section CancelCommMonoidWithZero variable {R : Type*} [CancelCommMonoidWithZero R] open Finset
Mathlib/RingTheory/Prime.lean
28
46
theorem mul_eq_mul_prime_prod {α : Type*} [DecidableEq α] {x y a : R} {s : Finset α} {p : α → R} (hp : ∀ i ∈ s, Prime (p i)) (hx : x * y = a * ∏ i ∈ s, p i) : ∃ (t u : Finset α) (b c : R), t ∪ u = s ∧ Disjoint t u ∧ a = b * c ∧ (x = b * ∏ i ∈ t, p i) ∧ y = c * ∏ i ∈ u, p i := by
induction' s using Finset.induction with i s his ih generalizing x y a · exact ⟨∅, ∅, x, y, by simp [hx]⟩ · rw [prod_insert his, ← mul_assoc] at hx have hpi : Prime (p i) := hp i (mem_insert_self _ _) rcases ih (fun i hi ↦ hp i (mem_insert_of_mem hi)) hx with ⟨t, u, b, c, htus, htu, hbc, rfl, rfl⟩ have hit : i ∉ t := fun hit ↦ his (htus ▸ mem_union_left _ hit) have hiu : i ∉ u := fun hiu ↦ his (htus ▸ mem_union_right _ hiu) obtain ⟨d, rfl⟩ | ⟨d, rfl⟩ : p i ∣ b ∨ p i ∣ c := hpi.dvd_or_dvd ⟨a, by rw [← hbc, mul_comm]⟩ · rw [mul_assoc, mul_comm a, mul_right_inj' hpi.ne_zero] at hbc exact ⟨insert i t, u, d, c, by rw [insert_union, htus], disjoint_insert_left.2 ⟨hiu, htu⟩, by simp [hbc, prod_insert hit, mul_assoc, mul_comm, mul_left_comm]⟩ · rw [← mul_assoc, mul_right_comm b, mul_left_inj' hpi.ne_zero] at hbc exact ⟨t, insert i u, b, d, by rw [union_insert, htus], disjoint_insert_right.2 ⟨hit, htu⟩, by simp [← hbc, prod_insert hiu, mul_assoc, mul_comm, mul_left_comm]⟩
15
import Mathlib.Algebra.Module.Card import Mathlib.SetTheory.Cardinal.CountableCover import Mathlib.SetTheory.Cardinal.Continuum import Mathlib.Analysis.SpecificLimits.Normed import Mathlib.Topology.MetricSpace.Perfect universe u v open Filter Pointwise Set Function Cardinal open scoped Cardinal Topology
Mathlib/Topology/Algebra/Module/Cardinality.lean
29
45
theorem continuum_le_cardinal_of_nontriviallyNormedField (𝕜 : Type*) [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜] : 𝔠 ≤ #𝕜 := by
suffices ∃ f : (ℕ → Bool) → 𝕜, range f ⊆ univ ∧ Continuous f ∧ Injective f by rcases this with ⟨f, -, -, f_inj⟩ simpa using lift_mk_le_lift_mk_of_injective f_inj apply Perfect.exists_nat_bool_injection _ univ_nonempty refine ⟨isClosed_univ, preperfect_iff_nhds.2 (fun x _ U hU ↦ ?_)⟩ rcases NormedField.exists_norm_lt_one 𝕜 with ⟨c, c_pos, hc⟩ have A : Tendsto (fun n ↦ x + c^n) atTop (𝓝 (x + 0)) := tendsto_const_nhds.add (tendsto_pow_atTop_nhds_zero_of_norm_lt_one hc) rw [add_zero] at A have B : ∀ᶠ n in atTop, x + c^n ∈ U := tendsto_def.1 A U hU rcases B.exists with ⟨n, hn⟩ refine ⟨x + c^n, by simpa using hn, ?_⟩ simp only [ne_eq, add_right_eq_self] apply pow_ne_zero simpa using c_pos
15
import Mathlib.AlgebraicTopology.DoldKan.Faces import Mathlib.CategoryTheory.Idempotents.Basic #align_import algebraic_topology.dold_kan.projections from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive CategoryTheory.SimplicialObject Opposite CategoryTheory.Idempotents open Simplicial DoldKan noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X : SimplicialObject C} noncomputable def P : ℕ → (K[X] ⟶ K[X]) | 0 => 𝟙 _ | q + 1 => P q ≫ (𝟙 _ + Hσ q) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P AlgebraicTopology.DoldKan.P -- Porting note: `P_zero` and `P_succ` have been added to ease the port, because -- `unfold P` would sometimes unfold to a `match` rather than the induction formula lemma P_zero : (P 0 : K[X] ⟶ K[X]) = 𝟙 _ := rfl lemma P_succ (q : ℕ) : (P (q+1) : K[X] ⟶ K[X]) = P q ≫ (𝟙 _ + Hσ q) := rfl @[simp] theorem P_f_0_eq (q : ℕ) : ((P q).f 0 : X _[0] ⟶ X _[0]) = 𝟙 _ := by induction' q with q hq · rfl · simp only [P_succ, HomologicalComplex.add_f_apply, HomologicalComplex.comp_f, HomologicalComplex.id_f, id_comp, hq, Hσ_eq_zero, add_zero] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_f_0_eq AlgebraicTopology.DoldKan.P_f_0_eq def Q (q : ℕ) : K[X] ⟶ K[X] := 𝟙 _ - P q set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q AlgebraicTopology.DoldKan.Q theorem P_add_Q (q : ℕ) : P q + Q q = 𝟙 K[X] := by rw [Q] abel set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_add_Q AlgebraicTopology.DoldKan.P_add_Q theorem P_add_Q_f (q n : ℕ) : (P q).f n + (Q q).f n = 𝟙 (X _[n]) := HomologicalComplex.congr_hom (P_add_Q q) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_add_Q_f AlgebraicTopology.DoldKan.P_add_Q_f @[simp] theorem Q_zero : (Q 0 : K[X] ⟶ _) = 0 := sub_self _ set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_eq_zero AlgebraicTopology.DoldKan.Q_zero theorem Q_succ (q : ℕ) : (Q (q + 1) : K[X] ⟶ _) = Q q - P q ≫ Hσ q := by simp only [Q, P_succ, comp_add, comp_id] abel set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_eq AlgebraicTopology.DoldKan.Q_succ @[simp] theorem Q_f_0_eq (q : ℕ) : ((Q q).f 0 : X _[0] ⟶ X _[0]) = 0 := by simp only [HomologicalComplex.sub_f_apply, HomologicalComplex.id_f, Q, P_f_0_eq, sub_self] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_f_0_eq AlgebraicTopology.DoldKan.Q_f_0_eq namespace HigherFacesVanish theorem of_P : ∀ q n : ℕ, HigherFacesVanish q ((P q).f (n + 1) : X _[n + 1] ⟶ X _[n + 1]) | 0 => fun n j hj₁ => by omega | q + 1 => fun n => by simp only [P_succ] exact (of_P q n).induction set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.higher_faces_vanish.of_P AlgebraicTopology.DoldKan.HigherFacesVanish.of_P @[reassoc]
Mathlib/AlgebraicTopology/DoldKan/Projections.lean
118
134
theorem comp_P_eq_self {Y : C} {n q : ℕ} {φ : Y ⟶ X _[n + 1]} (v : HigherFacesVanish q φ) : φ ≫ (P q).f (n + 1) = φ := by
induction' q with q hq · simp only [P_zero] apply comp_id · simp only [P_succ, comp_add, HomologicalComplex.comp_f, HomologicalComplex.add_f_apply, comp_id, ← assoc, hq v.of_succ, add_right_eq_self] by_cases hqn : n < q · exact v.of_succ.comp_Hσ_eq_zero hqn · obtain ⟨a, ha⟩ := Nat.le.dest (not_lt.mp hqn) have hnaq : n = a + q := by omega simp only [v.of_succ.comp_Hσ_eq hnaq, neg_eq_zero, ← assoc] have eq := v ⟨a, by omega⟩ (by simp only [hnaq, Nat.succ_eq_add_one, add_assoc] rfl) simp only [Fin.succ_mk] at eq simp only [eq, zero_comp]
15
import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic import Mathlib.CategoryTheory.Monoidal.Functorial import Mathlib.CategoryTheory.Monoidal.Types.Basic import Mathlib.LinearAlgebra.DirectSum.Finsupp import Mathlib.CategoryTheory.Linear.LinearFunctor #align_import algebra.category.Module.adjunctions from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4" set_option linter.uppercaseLean3 false -- `Module` noncomputable section open CategoryTheory namespace ModuleCat universe u open scoped Classical variable (R : Type u) section variable [Ring R] @[simps] def free : Type u ⥤ ModuleCat R where obj X := ModuleCat.of R (X →₀ R) map {X Y} f := Finsupp.lmapDomain _ _ f map_id := by intros; exact Finsupp.lmapDomain_id _ _ map_comp := by intros; exact Finsupp.lmapDomain_comp _ _ _ _ #align Module.free ModuleCat.free def adj : free R ⊣ forget (ModuleCat.{u} R) := Adjunction.mkOfHomEquiv { homEquiv := fun X M => (Finsupp.lift M R X).toEquiv.symm homEquiv_naturality_left_symm := fun {_ _} M f g => Finsupp.lhom_ext' fun x => LinearMap.ext_ring (Finsupp.sum_mapDomain_index_addMonoidHom fun y => (smulAddHom R M).flip (g y)).symm } #align Module.adj ModuleCat.adj instance : (forget (ModuleCat.{u} R)).IsRightAdjoint := (adj R).isRightAdjoint end namespace Free open MonoidalCategory variable [CommRing R] attribute [local ext] TensorProduct.ext def ε : 𝟙_ (ModuleCat.{u} R) ⟶ (free R).obj (𝟙_ (Type u)) := Finsupp.lsingle PUnit.unit #align Module.free.ε ModuleCat.Free.ε -- This lemma has always been bad, but lean4#2644 made `simp` start noticing @[simp, nolint simpNF] theorem ε_apply (r : R) : ε R r = Finsupp.single PUnit.unit r := rfl #align Module.free.ε_apply ModuleCat.Free.ε_apply def μ (α β : Type u) : (free R).obj α ⊗ (free R).obj β ≅ (free R).obj (α ⊗ β) := (finsuppTensorFinsupp' R α β).toModuleIso #align Module.free.μ ModuleCat.Free.μ theorem μ_natural {X Y X' Y' : Type u} (f : X ⟶ Y) (g : X' ⟶ Y') : ((free R).map f ⊗ (free R).map g) ≫ (μ R Y Y').hom = (μ R X X').hom ≫ (free R).map (f ⊗ g) := by -- Porting note (#11041): broken ext apply TensorProduct.ext apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply Finsupp.lhom_ext' intro x' apply LinearMap.ext_ring apply Finsupp.ext intro ⟨y, y'⟩ -- Porting note (#10934): used to be dsimp [μ] change (finsuppTensorFinsupp' R Y Y') (Finsupp.mapDomain f (Finsupp.single x 1) ⊗ₜ[R] Finsupp.mapDomain g (Finsupp.single x' 1)) _ = (Finsupp.mapDomain (f ⊗ g) (finsuppTensorFinsupp' R X X' (Finsupp.single x 1 ⊗ₜ[R] Finsupp.single x' 1))) _ -- extra `rfl` after leanprover/lean4#2466 simp_rw [Finsupp.mapDomain_single, finsuppTensorFinsupp'_single_tmul_single, mul_one, Finsupp.mapDomain_single, CategoryTheory.tensor_apply]; rfl #align Module.free.μ_natural ModuleCat.Free.μ_natural
Mathlib/Algebra/Category/ModuleCat/Adjunctions.lean
112
129
theorem left_unitality (X : Type u) : (λ_ ((free R).obj X)).hom = (ε R ⊗ 𝟙 ((free R).obj X)) ≫ (μ R (𝟙_ (Type u)) X).hom ≫ map (free R).obj (λ_ X).hom := by
-- Porting note (#11041): broken ext apply TensorProduct.ext apply LinearMap.ext_ring apply Finsupp.lhom_ext' intro x apply LinearMap.ext_ring apply Finsupp.ext intro x' -- Porting note (#10934): used to be dsimp [ε, μ] let q : X →₀ R := ((λ_ (of R (X →₀ R))).hom) (1 ⊗ₜ[R] Finsupp.single x 1) change q x' = Finsupp.mapDomain (λ_ X).hom (finsuppTensorFinsupp' R (𝟙_ (Type u)) X (Finsupp.single PUnit.unit 1 ⊗ₜ[R] Finsupp.single x 1)) x' simp_rw [q, finsuppTensorFinsupp'_single_tmul_single, ModuleCat.MonoidalCategory.leftUnitor_hom_apply, mul_one, Finsupp.mapDomain_single, CategoryTheory.leftUnitor_hom_apply, one_smul]
15
import Mathlib.Algebra.Order.Group.TypeTags import Mathlib.FieldTheory.RatFunc.Degree import Mathlib.RingTheory.DedekindDomain.IntegralClosure import Mathlib.RingTheory.IntegrallyClosed import Mathlib.Topology.Algebra.ValuedField #align_import number_theory.function_field from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section open scoped nonZeroDivisors Polynomial DiscreteValuation variable (Fq F : Type) [Field Fq] [Field F] abbrev FunctionField [Algebra (RatFunc Fq) F] : Prop := FiniteDimensional (RatFunc Fq) F #align function_field FunctionField -- Porting note: Removed `protected` theorem functionField_iff (Fqt : Type*) [Field Fqt] [Algebra Fq[X] Fqt] [IsFractionRing Fq[X] Fqt] [Algebra (RatFunc Fq) F] [Algebra Fqt F] [Algebra Fq[X] F] [IsScalarTower Fq[X] Fqt F] [IsScalarTower Fq[X] (RatFunc Fq) F] : FunctionField Fq F ↔ FiniteDimensional Fqt F := by let e := IsLocalization.algEquiv Fq[X]⁰ (RatFunc Fq) Fqt have : ∀ (c) (x : F), e c • x = c • x := by intro c x rw [Algebra.smul_def, Algebra.smul_def] congr refine congr_fun (f := fun c => algebraMap Fqt F (e c)) ?_ c -- Porting note: Added `(f := _)` refine IsLocalization.ext (nonZeroDivisors Fq[X]) _ _ ?_ ?_ ?_ ?_ ?_ <;> intros <;> simp only [AlgEquiv.map_one, RingHom.map_one, AlgEquiv.map_mul, RingHom.map_mul, AlgEquiv.commutes, ← IsScalarTower.algebraMap_apply] constructor <;> intro h · let b := FiniteDimensional.finBasis (RatFunc Fq) F exact FiniteDimensional.of_fintype_basis (b.mapCoeffs e this) · let b := FiniteDimensional.finBasis Fqt F refine FiniteDimensional.of_fintype_basis (b.mapCoeffs e.symm ?_) intro c x; convert (this (e.symm c) x).symm; simp only [e.apply_symm_apply] #align function_field_iff functionField_iff theorem algebraMap_injective [Algebra Fq[X] F] [Algebra (RatFunc Fq) F] [IsScalarTower Fq[X] (RatFunc Fq) F] : Function.Injective (⇑(algebraMap Fq[X] F)) := by rw [IsScalarTower.algebraMap_eq Fq[X] (RatFunc Fq) F] exact (algebraMap (RatFunc Fq) F).injective.comp (IsFractionRing.injective Fq[X] (RatFunc Fq)) #align algebra_map_injective algebraMap_injective namespace FunctionField def ringOfIntegers [Algebra Fq[X] F] := integralClosure Fq[X] F #align function_field.ring_of_integers FunctionField.ringOfIntegers section InftyValuation variable [DecidableEq (RatFunc Fq)] def inftyValuationDef (r : RatFunc Fq) : ℤₘ₀ := if r = 0 then 0 else ↑(Multiplicative.ofAdd r.intDegree) #align function_field.infty_valuation_def FunctionField.inftyValuationDef theorem InftyValuation.map_zero' : inftyValuationDef Fq 0 = 0 := if_pos rfl #align function_field.infty_valuation.map_zero' FunctionField.InftyValuation.map_zero' theorem InftyValuation.map_one' : inftyValuationDef Fq 1 = 1 := (if_neg one_ne_zero).trans <| by rw [RatFunc.intDegree_one, ofAdd_zero, WithZero.coe_one] #align function_field.infty_valuation.map_one' FunctionField.InftyValuation.map_one' theorem InftyValuation.map_mul' (x y : RatFunc Fq) : inftyValuationDef Fq (x * y) = inftyValuationDef Fq x * inftyValuationDef Fq y := by rw [inftyValuationDef, inftyValuationDef, inftyValuationDef] by_cases hx : x = 0 · rw [hx, zero_mul, if_pos (Eq.refl _), zero_mul] · by_cases hy : y = 0 · rw [hy, mul_zero, if_pos (Eq.refl _), mul_zero] · rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithZero.coe_mul, WithZero.coe_inj, ← ofAdd_add, RatFunc.intDegree_mul hx hy] #align function_field.infty_valuation.map_mul' FunctionField.InftyValuation.map_mul'
Mathlib/NumberTheory/FunctionField.lean
179
195
theorem InftyValuation.map_add_le_max' (x y : RatFunc Fq) : inftyValuationDef Fq (x + y) ≤ max (inftyValuationDef Fq x) (inftyValuationDef Fq y) := by
by_cases hx : x = 0 · rw [hx, zero_add] conv_rhs => rw [inftyValuationDef, if_pos (Eq.refl _)] rw [max_eq_right (WithZero.zero_le (inftyValuationDef Fq y))] · by_cases hy : y = 0 · rw [hy, add_zero] conv_rhs => rw [max_comm, inftyValuationDef, if_pos (Eq.refl _)] rw [max_eq_right (WithZero.zero_le (inftyValuationDef Fq x))] · by_cases hxy : x + y = 0 · rw [inftyValuationDef, if_pos hxy]; exact zero_le' · rw [inftyValuationDef, inftyValuationDef, inftyValuationDef, if_neg hx, if_neg hy, if_neg hxy] rw [le_max_iff, WithZero.coe_le_coe, Multiplicative.ofAdd_le, WithZero.coe_le_coe, Multiplicative.ofAdd_le, ← le_max_iff] exact RatFunc.intDegree_add_le hy hxy
15
import Mathlib.Data.List.OfFn import Mathlib.Data.List.Nodup import Mathlib.Data.List.Infix #align_import data.list.sort from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" open List.Perm universe u namespace List section Sorted variable {α : Type u} {r : α → α → Prop} {a : α} {l : List α} def Sorted := @Pairwise #align list.sorted List.Sorted instance decidableSorted [DecidableRel r] (l : List α) : Decidable (Sorted r l) := List.instDecidablePairwise _ #align list.decidable_sorted List.decidableSorted protected theorem Sorted.le_of_lt [Preorder α] {l : List α} (h : l.Sorted (· < ·)) : l.Sorted (· ≤ ·) := h.imp le_of_lt protected theorem Sorted.lt_of_le [PartialOrder α] {l : List α} (h₁ : l.Sorted (· ≤ ·)) (h₂ : l.Nodup) : l.Sorted (· < ·) := h₁.imp₂ (fun _ _ => lt_of_le_of_ne) h₂ protected theorem Sorted.ge_of_gt [Preorder α] {l : List α} (h : l.Sorted (· > ·)) : l.Sorted (· ≥ ·) := h.imp le_of_lt protected theorem Sorted.gt_of_ge [PartialOrder α] {l : List α} (h₁ : l.Sorted (· ≥ ·)) (h₂ : l.Nodup) : l.Sorted (· > ·) := h₁.imp₂ (fun _ _ => lt_of_le_of_ne) <| by simp_rw [ne_comm]; exact h₂ @[simp] theorem sorted_nil : Sorted r [] := Pairwise.nil #align list.sorted_nil List.sorted_nil theorem Sorted.of_cons : Sorted r (a :: l) → Sorted r l := Pairwise.of_cons #align list.sorted.of_cons List.Sorted.of_cons theorem Sorted.tail {r : α → α → Prop} {l : List α} (h : Sorted r l) : Sorted r l.tail := Pairwise.tail h #align list.sorted.tail List.Sorted.tail theorem rel_of_sorted_cons {a : α} {l : List α} : Sorted r (a :: l) → ∀ b ∈ l, r a b := rel_of_pairwise_cons #align list.rel_of_sorted_cons List.rel_of_sorted_cons theorem Sorted.head!_le [Inhabited α] [Preorder α] {a : α} {l : List α} (h : Sorted (· < ·) l) (ha : a ∈ l) : l.head! ≤ a := by rw [← List.cons_head!_tail (List.ne_nil_of_mem ha)] at h ha cases ha · exact le_rfl · exact le_of_lt (rel_of_sorted_cons h a (by assumption)) theorem Sorted.le_head! [Inhabited α] [Preorder α] {a : α} {l : List α} (h : Sorted (· > ·) l) (ha : a ∈ l) : a ≤ l.head! := by rw [← List.cons_head!_tail (List.ne_nil_of_mem ha)] at h ha cases ha · exact le_rfl · exact le_of_lt (rel_of_sorted_cons h a (by assumption)) @[simp] theorem sorted_cons {a : α} {l : List α} : Sorted r (a :: l) ↔ (∀ b ∈ l, r a b) ∧ Sorted r l := pairwise_cons #align list.sorted_cons List.sorted_cons protected theorem Sorted.nodup {r : α → α → Prop} [IsIrrefl α r] {l : List α} (h : Sorted r l) : Nodup l := Pairwise.nodup h #align list.sorted.nodup List.Sorted.nodup
Mathlib/Data/List/Sort.lean
104
120
theorem eq_of_perm_of_sorted [IsAntisymm α r] {l₁ l₂ : List α} (hp : l₁ ~ l₂) (hs₁ : Sorted r l₁) (hs₂ : Sorted r l₂) : l₁ = l₂ := by
induction' hs₁ with a l₁ h₁ hs₁ IH generalizing l₂ · exact hp.nil_eq · have : a ∈ l₂ := hp.subset (mem_cons_self _ _) rcases append_of_mem this with ⟨u₂, v₂, rfl⟩ have hp' := (perm_cons a).1 (hp.trans perm_middle) obtain rfl := IH hp' (hs₂.sublist <| by simp) change a :: u₂ ++ v₂ = u₂ ++ ([a] ++ v₂) rw [← append_assoc] congr have : ∀ x ∈ u₂, x = a := fun x m => antisymm ((pairwise_append.1 hs₂).2.2 _ m a (mem_cons_self _ _)) (h₁ _ (by simp [m])) rw [(@eq_replicate _ a (length u₂ + 1) (a :: u₂)).2, (@eq_replicate _ a (length u₂ + 1) (u₂ ++ [a])).2] <;> constructor <;> simp [iff_true_intro this, or_comm]
15
import Mathlib.Algebra.Order.ToIntervalMod import Mathlib.Algebra.Ring.AddAut import Mathlib.Data.Nat.Totient import Mathlib.GroupTheory.Divisible import Mathlib.Topology.Connected.PathConnected import Mathlib.Topology.IsLocalHomeomorph #align_import topology.instances.add_circle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec" noncomputable section open AddCommGroup Set Function AddSubgroup TopologicalSpace open Topology variable {𝕜 B : Type*} section Continuity variable [LinearOrderedAddCommGroup 𝕜] [Archimedean 𝕜] [TopologicalSpace 𝕜] [OrderTopology 𝕜] {p : 𝕜} (hp : 0 < p) (a x : 𝕜)
Mathlib/Topology/Instances/AddCircle.lean
64
79
theorem continuous_right_toIcoMod : ContinuousWithinAt (toIcoMod hp a) (Ici x) x := by
intro s h rw [Filter.mem_map, mem_nhdsWithin_iff_exists_mem_nhds_inter] haveI : Nontrivial 𝕜 := ⟨⟨0, p, hp.ne⟩⟩ simp_rw [mem_nhds_iff_exists_Ioo_subset] at h ⊢ obtain ⟨l, u, hxI, hIs⟩ := h let d := toIcoDiv hp a x • p have hd := toIcoMod_mem_Ico hp a x simp_rw [subset_def, mem_inter_iff] refine ⟨_, ⟨l + d, min (a + p) u + d, ?_, fun x => id⟩, fun y => ?_⟩ <;> simp_rw [← sub_mem_Ioo_iff_left, mem_Ioo, lt_min_iff] · exact ⟨hxI.1, hd.2, hxI.2⟩ · rintro ⟨h, h'⟩ apply hIs rw [← toIcoMod_sub_zsmul, (toIcoMod_eq_self _).2] exacts [⟨h.1, h.2.2⟩, ⟨hd.1.trans (sub_le_sub_right h' _), h.2.1⟩]
15
import Mathlib.CategoryTheory.Sites.IsSheafFor import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.Tactic.ApplyFun #align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe w v u namespace CategoryTheory open Opposite CategoryTheory Category Limits Sieve namespace Equalizer variable {C : Type u} [Category.{v} C] (P : Cᵒᵖ ⥤ Type max v u) {X : C} (R : Presieve X) (S : Sieve X) noncomputable section def FirstObj : Type max v u := ∏ᶜ fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1) #align category_theory.equalizer.first_obj CategoryTheory.Equalizer.FirstObj variable {P R} -- Porting note (#10688): added to ease automation @[ext] lemma FirstObj.ext (z₁ z₂ : FirstObj P R) (h : ∀ (Y : C) (f : Y ⟶ X) (hf : R f), (Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₁ = (Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₂) : z₁ = z₂ := by apply Limits.Types.limit_ext rintro ⟨⟨Y, f, hf⟩⟩ exact h Y f hf variable (P R) @[simps] def firstObjEqFamily : FirstObj P R ≅ R.FamilyOfElements P where hom t Y f hf := Pi.π (fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1)) ⟨_, _, hf⟩ t inv := Pi.lift fun f x => x _ f.2.2 #align category_theory.equalizer.first_obj_eq_family CategoryTheory.Equalizer.firstObjEqFamily instance : Inhabited (FirstObj P (⊥ : Presieve X)) := (firstObjEqFamily P _).toEquiv.inhabited -- Porting note: was not needed in mathlib instance : Inhabited (FirstObj P ((⊥ : Sieve X) : Presieve X)) := (inferInstance : Inhabited (FirstObj P (⊥ : Presieve X))) def forkMap : P.obj (op X) ⟶ FirstObj P R := Pi.lift fun f => P.map f.2.1.op #align category_theory.equalizer.fork_map CategoryTheory.Equalizer.forkMap namespace Presieve variable [R.hasPullbacks] @[simp] def SecondObj : Type max v u := ∏ᶜ fun fg : (ΣY, { f : Y ⟶ X // R f }) × ΣZ, { g : Z ⟶ X // R g } => haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2 P.obj (op (pullback fg.1.2.1 fg.2.2.1)) #align category_theory.equalizer.presieve.second_obj CategoryTheory.Equalizer.Presieve.SecondObj def firstMap : FirstObj P R ⟶ SecondObj P R := Pi.lift fun fg => haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2 Pi.π _ _ ≫ P.map pullback.fst.op #align category_theory.equalizer.presieve.first_map CategoryTheory.Equalizer.Presieve.firstMap instance [HasPullbacks C] : Inhabited (SecondObj P (⊥ : Presieve X)) := ⟨firstMap _ _ default⟩ def secondMap : FirstObj P R ⟶ SecondObj P R := Pi.lift fun fg => haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2 Pi.π _ _ ≫ P.map pullback.snd.op #align category_theory.equalizer.presieve.second_map CategoryTheory.Equalizer.Presieve.secondMap theorem w : forkMap P R ≫ firstMap P R = forkMap P R ≫ secondMap P R := by dsimp ext fg simp only [firstMap, secondMap, forkMap] simp only [limit.lift_π, limit.lift_π_assoc, assoc, Fan.mk_π_app] haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2 rw [← P.map_comp, ← op_comp, pullback.condition] simp #align category_theory.equalizer.presieve.w CategoryTheory.Equalizer.Presieve.w theorem compatible_iff (x : FirstObj P R) : ((firstObjEqFamily P R).hom x).Compatible ↔ firstMap P R x = secondMap P R x := by rw [Presieve.pullbackCompatible_iff] constructor · intro t apply Limits.Types.limit_ext rintro ⟨⟨Y, f, hf⟩, Z, g, hg⟩ simpa [firstMap, secondMap] using t hf hg · intro t Y Z f g hf hg rw [Types.limit_ext_iff'] at t simpa [firstMap, secondMap] using t ⟨⟨⟨Y, f, hf⟩, Z, g, hg⟩⟩ #align category_theory.equalizer.presieve.compatible_iff CategoryTheory.Equalizer.Presieve.compatible_iff
Mathlib/CategoryTheory/Sites/EqualizerSheafCondition.lean
246
261
theorem sheaf_condition : R.IsSheafFor P ↔ Nonempty (IsLimit (Fork.ofι _ (w P R))) := by
rw [Types.type_equalizer_iff_unique] erw [← Equiv.forall_congr_left (firstObjEqFamily P R).toEquiv.symm] simp_rw [← compatible_iff, ← Iso.toEquiv_fun, Equiv.apply_symm_apply] apply forall₂_congr intro x _ apply exists_unique_congr intro t rw [Equiv.eq_symm_apply] constructor · intro q funext Y f hf simpa [forkMap] using q _ _ · intro q Y f hf rw [← q] simp [forkMap]
15
import Mathlib.CategoryTheory.Adjunction.Opposites import Mathlib.CategoryTheory.Comma.Presheaf import Mathlib.CategoryTheory.Elements import Mathlib.CategoryTheory.Limits.ConeCategory import Mathlib.CategoryTheory.Limits.Final import Mathlib.CategoryTheory.Limits.KanExtension import Mathlib.CategoryTheory.Limits.Over #align_import category_theory.limits.presheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory open Category Limits universe v₁ v₂ u₁ u₂ section SmallCategory variable {C : Type u₁} [SmallCategory C] variable {ℰ : Type u₂} [Category.{u₁} ℰ] variable (A : C ⥤ ℰ) namespace ColimitAdj @[simps!] def restrictedYoneda : ℰ ⥤ Cᵒᵖ ⥤ Type u₁ := yoneda ⋙ (whiskeringLeft _ _ (Type u₁)).obj (Functor.op A) #align category_theory.colimit_adj.restricted_yoneda CategoryTheory.ColimitAdj.restrictedYoneda def restrictedYonedaYoneda : restrictedYoneda (yoneda : C ⥤ Cᵒᵖ ⥤ Type u₁) ≅ 𝟭 _ := NatIso.ofComponents fun P => NatIso.ofComponents (fun X => Equiv.toIso yonedaEquiv) @ fun X Y f => funext fun x => by dsimp [yonedaEquiv] have : x.app X (CategoryStruct.id (Opposite.unop X)) = (x.app X (𝟙 (Opposite.unop X))) := rfl rw [this] rw [← FunctorToTypes.naturality _ _ x f (𝟙 _)] simp only [id_comp, Functor.op_obj, Opposite.unop_op, yoneda_obj_map, comp_id] #align category_theory.colimit_adj.restricted_yoneda_yoneda CategoryTheory.ColimitAdj.restrictedYonedaYoneda def restrictYonedaHomEquiv (P : Cᵒᵖ ⥤ Type u₁) (E : ℰ) {c : Cocone ((CategoryOfElements.π P).leftOp ⋙ A)} (t : IsColimit c) : (c.pt ⟶ E) ≃ (P ⟶ (restrictedYoneda A).obj E) := ((uliftTrivial _).symm ≪≫ t.homIso' E).toEquiv.trans { toFun := fun k => { app := fun c p => k.1 (Opposite.op ⟨_, p⟩) naturality := fun c c' f => funext fun p => (k.2 (Quiver.Hom.op ⟨f, rfl⟩ : (Opposite.op ⟨c', P.map f p⟩ : P.Elementsᵒᵖ) ⟶ Opposite.op ⟨c, p⟩)).symm } invFun := fun τ => { val := fun p => τ.app p.unop.1 p.unop.2 property := @fun p p' f => by simp_rw [← f.unop.2] apply (congr_fun (τ.naturality f.unop.1) p'.unop.2).symm } left_inv := by rintro ⟨k₁, k₂⟩ ext dsimp congr 1 right_inv := by rintro ⟨_, _⟩ rfl } #align category_theory.colimit_adj.restrict_yoneda_hom_equiv CategoryTheory.ColimitAdj.restrictYonedaHomEquiv theorem restrictYonedaHomEquiv_natural (P : Cᵒᵖ ⥤ Type u₁) (E₁ E₂ : ℰ) (g : E₁ ⟶ E₂) {c : Cocone _} (t : IsColimit c) (k : c.pt ⟶ E₁) : restrictYonedaHomEquiv A P E₂ t (k ≫ g) = restrictYonedaHomEquiv A P E₁ t k ≫ (restrictedYoneda A).map g := by ext x X apply (assoc _ _ _).symm #align category_theory.colimit_adj.restrict_yoneda_hom_equiv_natural CategoryTheory.ColimitAdj.restrictYonedaHomEquiv_natural variable [HasColimits ℰ] noncomputable def extendAlongYoneda : (Cᵒᵖ ⥤ Type u₁) ⥤ ℰ := Adjunction.leftAdjointOfEquiv (fun P E => restrictYonedaHomEquiv A P E (colimit.isColimit _)) fun P E E' g => restrictYonedaHomEquiv_natural A P E E' g _ #align category_theory.colimit_adj.extend_along_yoneda CategoryTheory.ColimitAdj.extendAlongYoneda @[simp] theorem extendAlongYoneda_obj (P : Cᵒᵖ ⥤ Type u₁) : (extendAlongYoneda A).obj P = colimit ((CategoryOfElements.π P).leftOp ⋙ A) := rfl #align category_theory.colimit_adj.extend_along_yoneda_obj CategoryTheory.ColimitAdj.extendAlongYoneda_obj -- Porting note: adding this lemma because lean 4 ext no longer applies all ext lemmas when -- stuck (and hence can see through definitional equalities). The previous lemma shows that -- `(extendAlongYoneda A).obj P` is definitionally a colimit, and the ext lemma is just -- a special case of `CategoryTheory.Limits.colimit.hom_ext`. -- See https://github.com/leanprover-community/mathlib4/issues/5229 @[ext] lemma extendAlongYoneda_obj.hom_ext {X : ℰ} {P : Cᵒᵖ ⥤ Type u₁} {f f' : (extendAlongYoneda A).obj P ⟶ X} (w : ∀ j, colimit.ι ((CategoryOfElements.π P).leftOp ⋙ A) j ≫ f = colimit.ι ((CategoryOfElements.π P).leftOp ⋙ A) j ≫ f') : f = f' := CategoryTheory.Limits.colimit.hom_ext w
Mathlib/CategoryTheory/Limits/Presheaf.lean
158
175
theorem extendAlongYoneda_map {X Y : Cᵒᵖ ⥤ Type u₁} (f : X ⟶ Y) : (extendAlongYoneda A).map f = colimit.pre ((CategoryOfElements.π Y).leftOp ⋙ A) (CategoryOfElements.map f).op := by
ext J erw [colimit.ι_pre ((CategoryOfElements.π Y).leftOp ⋙ A) (CategoryOfElements.map f).op] dsimp only [extendAlongYoneda, restrictYonedaHomEquiv, IsColimit.homIso', IsColimit.homIso, uliftTrivial] -- Porting note: in mathlib3 the rest of the proof was `simp, refl`; this is squeezed -- and appropriately reordered, presumably because of a non-confluence issue. simp only [Adjunction.leftAdjointOfEquiv_map, Iso.symm_mk, Iso.toEquiv_comp, Equiv.coe_trans, Equiv.coe_fn_mk, Iso.toEquiv_fun, Equiv.symm_trans_apply, Equiv.coe_fn_symm_mk, Iso.toEquiv_symm_fun, id, colimit.isColimit_desc, colimit.ι_desc, FunctorToTypes.comp, Cocone.extend_ι, Cocone.extensions_app, Functor.map_id, Category.comp_id, colimit.cocone_ι] simp only [Functor.comp_obj, Functor.leftOp_obj, CategoryOfElements.π_obj, colimit.cocone_x, Functor.comp_map, Functor.leftOp_map, CategoryOfElements.π_map, Opposite.unop_op, Adjunction.leftAdjointOfEquiv_obj, Function.comp_apply, Functor.map_id, comp_id, colimit.cocone_ι, Functor.op_obj] rfl
15
import Mathlib.Data.PFunctor.Multivariate.Basic #align_import data.qpf.multivariate.basic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" universe u open MvFunctor class MvQPF {n : ℕ} (F : TypeVec.{u} n → Type*) [MvFunctor F] where P : MvPFunctor.{u} n abs : ∀ {α}, P α → F α repr : ∀ {α}, F α → P α abs_repr : ∀ {α} (x : F α), abs (repr x) = x abs_map : ∀ {α β} (f : α ⟹ β) (p : P α), abs (f <$$> p) = f <$$> abs p #align mvqpf MvQPF namespace MvQPF variable {n : ℕ} {F : TypeVec.{u} n → Type*} [MvFunctor F] [q : MvQPF F] open MvFunctor (LiftP LiftR) protected theorem id_map {α : TypeVec n} (x : F α) : TypeVec.id <$$> x = x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map] rfl #align mvqpf.id_map MvQPF.id_map @[simp] theorem comp_map {α β γ : TypeVec n} (f : α ⟹ β) (g : β ⟹ γ) (x : F α) : (g ⊚ f) <$$> x = g <$$> f <$$> x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map, ← abs_map, ← abs_map] rfl #align mvqpf.comp_map MvQPF.comp_map instance (priority := 100) lawfulMvFunctor : LawfulMvFunctor F where id_map := @MvQPF.id_map n F _ _ comp_map := @comp_map n F _ _ #align mvqpf.is_lawful_mvfunctor MvQPF.lawfulMvFunctor -- Lifting predicates and relations theorem liftP_iff {α : TypeVec n} (p : ∀ ⦃i⦄, α i → Prop) (x : F α) : LiftP p x ↔ ∃ a f, x = abs ⟨a, f⟩ ∧ ∀ i j, p (f i j) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use a, fun i j => (f i j).val constructor · rw [← hy, ← abs_repr y, h, ← abs_map]; rfl intro i j apply (f i j).property rintro ⟨a, f, h₀, h₁⟩ use abs ⟨a, fun i j => ⟨f i j, h₁ i j⟩⟩ rw [← abs_map, h₀]; rfl #align mvqpf.liftp_iff MvQPF.liftP_iff
Mathlib/Data/QPF/Multivariate/Basic.lean
141
157
theorem liftR_iff {α : TypeVec n} (r : ∀ /- ⦃i⦄ -/ {i}, α i → α i → Prop) (x y : F α) : LiftR r x y ↔ ∃ a f₀ f₁, x = abs ⟨a, f₀⟩ ∧ y = abs ⟨a, f₁⟩ ∧ ∀ i j, r (f₀ i j) (f₁ i j) := by
constructor · rintro ⟨u, xeq, yeq⟩ cases' h : repr u with a f use a, fun i j => (f i j).val.fst, fun i j => (f i j).val.snd constructor · rw [← xeq, ← abs_repr u, h, ← abs_map]; rfl constructor · rw [← yeq, ← abs_repr u, h, ← abs_map]; rfl intro i j exact (f i j).property rintro ⟨a, f₀, f₁, xeq, yeq, h⟩ use abs ⟨a, fun i j => ⟨(f₀ i j, f₁ i j), h i j⟩⟩ dsimp; constructor · rw [xeq, ← abs_map]; rfl rw [yeq, ← abs_map]; rfl
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import Mathlib.Analysis.RCLike.Lemmas import Mathlib.MeasureTheory.Function.StronglyMeasurable.Inner import Mathlib.MeasureTheory.Integral.SetIntegral #align_import measure_theory.function.l2_space from "leanprover-community/mathlib"@"83a66c8775fa14ee5180c85cab98e970956401ad" set_option linter.uppercaseLean3 false noncomputable section open TopologicalSpace MeasureTheory MeasureTheory.Lp Filter open scoped NNReal ENNReal MeasureTheory namespace MeasureTheory section variable {α F : Type*} {m : MeasurableSpace α} {μ : Measure α} [NormedAddCommGroup F] theorem Memℒp.integrable_sq {f : α → ℝ} (h : Memℒp f 2 μ) : Integrable (fun x => f x ^ 2) μ := by simpa [← memℒp_one_iff_integrable] using h.norm_rpow two_ne_zero ENNReal.two_ne_top #align measure_theory.mem_ℒp.integrable_sq MeasureTheory.Memℒp.integrable_sq theorem memℒp_two_iff_integrable_sq_norm {f : α → F} (hf : AEStronglyMeasurable f μ) : Memℒp f 2 μ ↔ Integrable (fun x => ‖f x‖ ^ 2) μ := by rw [← memℒp_one_iff_integrable] convert (memℒp_norm_rpow_iff hf two_ne_zero ENNReal.two_ne_top).symm · simp · rw [div_eq_mul_inv, ENNReal.mul_inv_cancel two_ne_zero ENNReal.two_ne_top] #align measure_theory.mem_ℒp_two_iff_integrable_sq_norm MeasureTheory.memℒp_two_iff_integrable_sq_norm theorem memℒp_two_iff_integrable_sq {f : α → ℝ} (hf : AEStronglyMeasurable f μ) : Memℒp f 2 μ ↔ Integrable (fun x => f x ^ 2) μ := by convert memℒp_two_iff_integrable_sq_norm hf using 3 simp #align measure_theory.mem_ℒp_two_iff_integrable_sq MeasureTheory.memℒp_two_iff_integrable_sq end namespace L2 variable {α E F 𝕜 : Type*} [RCLike 𝕜] [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E] [NormedAddCommGroup F] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y theorem snorm_rpow_two_norm_lt_top (f : Lp F 2 μ) : snorm (fun x => ‖f x‖ ^ (2 : ℝ)) 1 μ < ∞ := by have h_two : ENNReal.ofReal (2 : ℝ) = 2 := by simp [zero_le_one] rw [snorm_norm_rpow f zero_lt_two, one_mul, h_two] exact ENNReal.rpow_lt_top_of_nonneg zero_le_two (Lp.snorm_ne_top f) #align measure_theory.L2.snorm_rpow_two_norm_lt_top MeasureTheory.L2.snorm_rpow_two_norm_lt_top
Mathlib/MeasureTheory/Function/L2Space.lean
124
140
theorem snorm_inner_lt_top (f g : α →₂[μ] E) : snorm (fun x : α => ⟪f x, g x⟫) 1 μ < ∞ := by
have h : ∀ x, ‖⟪f x, g x⟫‖ ≤ ‖‖f x‖ ^ (2 : ℝ) + ‖g x‖ ^ (2 : ℝ)‖ := by intro x rw [← @Nat.cast_two ℝ, Real.rpow_natCast, Real.rpow_natCast] calc ‖⟪f x, g x⟫‖ ≤ ‖f x‖ * ‖g x‖ := norm_inner_le_norm _ _ _ ≤ 2 * ‖f x‖ * ‖g x‖ := (mul_le_mul_of_nonneg_right (le_mul_of_one_le_left (norm_nonneg _) one_le_two) (norm_nonneg _)) -- TODO(kmill): the type ascription is getting around an elaboration error _ ≤ ‖(‖f x‖ ^ 2 + ‖g x‖ ^ 2 : ℝ)‖ := (two_mul_le_add_sq _ _).trans (le_abs_self _) refine (snorm_mono_ae (ae_of_all _ h)).trans_lt ((snorm_add_le ?_ ?_ le_rfl).trans_lt ?_) · exact ((Lp.aestronglyMeasurable f).norm.aemeasurable.pow_const _).aestronglyMeasurable · exact ((Lp.aestronglyMeasurable g).norm.aemeasurable.pow_const _).aestronglyMeasurable rw [ENNReal.add_lt_top] exact ⟨snorm_rpow_two_norm_lt_top f, snorm_rpow_two_norm_lt_top g⟩
15
import Mathlib.Analysis.Calculus.FDeriv.Add import Mathlib.Analysis.Calculus.FDeriv.Equiv import Mathlib.Analysis.Calculus.FDeriv.Prod import Mathlib.Analysis.Calculus.Monotone import Mathlib.Data.Set.Function import Mathlib.Algebra.Group.Basic import Mathlib.Tactic.WLOG #align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" open scoped NNReal ENNReal Topology UniformConvergence open Set MeasureTheory Filter -- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E] noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ := ⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s }, ∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i)) #align evariation_on eVariationOn def BoundedVariationOn (f : α → E) (s : Set α) := eVariationOn f s ≠ ∞ #align has_bounded_variation_on BoundedVariationOn def LocallyBoundedVariationOn (f : α → E) (s : Set α) := ∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b) #align has_locally_bounded_variation_on LocallyBoundedVariationOn namespace eVariationOn theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by obtain ⟨x, hx⟩ := hs exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩ #align evariation_on.nonempty_monotone_mem eVariationOn.nonempty_monotone_mem theorem eq_of_edist_zero_on {f f' : α → E} {s : Set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) : eVariationOn f s = eVariationOn f' s := by dsimp only [eVariationOn] congr 1 with p : 1 congr 1 with i : 1 rw [edist_congr_right (h <| p.snd.prop.2 (i + 1)), edist_congr_left (h <| p.snd.prop.2 i)] #align evariation_on.eq_of_edist_zero_on eVariationOn.eq_of_edist_zero_on theorem eq_of_eqOn {f f' : α → E} {s : Set α} (h : EqOn f f' s) : eVariationOn f s = eVariationOn f' s := eq_of_edist_zero_on fun x xs => by rw [h xs, edist_self] #align evariation_on.eq_of_eq_on eVariationOn.eq_of_eqOn theorem sum_le (f : α → E) {s : Set α} (n : ℕ) {u : ℕ → α} (hu : Monotone u) (us : ∀ i, u i ∈ s) : (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := le_iSup_of_le ⟨n, u, hu, us⟩ le_rfl #align evariation_on.sum_le eVariationOn.sum_le
Mathlib/Analysis/BoundedVariation.lean
107
124
theorem sum_le_of_monotoneOn_Icc (f : α → E) {s : Set α} {m n : ℕ} {u : ℕ → α} (hu : MonotoneOn u (Icc m n)) (us : ∀ i ∈ Icc m n, u i ∈ s) : (∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by
rcases le_total n m with hnm | hmn · simp [Finset.Ico_eq_empty_of_le hnm] let π := projIcc m n hmn let v i := u (π i) calc ∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i)) = ∑ i ∈ Finset.Ico m n, edist (f (v (i + 1))) (f (v i)) := Finset.sum_congr rfl fun i hi ↦ by rw [Finset.mem_Ico] at hi simp only [v, π, projIcc_of_mem hmn ⟨hi.1, hi.2.le⟩, projIcc_of_mem hmn ⟨hi.1.trans i.le_succ, hi.2⟩] _ ≤ ∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) := Finset.sum_mono_set _ (Nat.Iio_eq_range ▸ Finset.Ico_subset_Iio_self) _ ≤ eVariationOn f s := sum_le _ _ (fun i j h ↦ hu (π i).2 (π j).2 (monotone_projIcc hmn h)) fun i ↦ us _ (π i).2
15
import Mathlib.LinearAlgebra.TensorProduct.RightExactness import Mathlib.LinearAlgebra.TensorProduct.Finiteness universe u variable (R : Type u) [CommRing R] variable {M : Type u} [AddCommGroup M] [Module R M] variable {N : Type u} [AddCommGroup N] [Module R N] open Classical DirectSum LinearMap Function Submodule namespace TensorProduct variable {ι : Type u} [Fintype ι] {m : ι → M} {n : ι → N} variable (m n) in abbrev VanishesTrivially : Prop := ∃ (κ : Type u) (_ : Fintype κ) (a : ι → κ → R) (y : κ → N), (∀ i, n i = ∑ j, a i j • y j) ∧ ∀ j, ∑ i, a i j • m i = 0 theorem sum_tmul_eq_zero_of_vanishesTrivially (hmn : VanishesTrivially R m n) : ∑ i, m i ⊗ₜ n i = (0 : M ⊗[R] N) := by obtain ⟨κ, _, a, y, h₁, h₂⟩ := hmn simp_rw [h₁, tmul_sum, tmul_smul] rw [Finset.sum_comm] simp_rw [← tmul_smul, ← smul_tmul, ← sum_tmul, h₂, zero_tmul, Finset.sum_const_zero] theorem vanishesTrivially_of_sum_tmul_eq_zero (hm : Submodule.span R (Set.range m) = ⊤) (hmn : ∑ i, m i ⊗ₜ n i = (0 : M ⊗[R] N)) : VanishesTrivially R m n := by -- Define a map $G \colon R^\iota \to M$ whose matrix entries are the $m_i$. It is surjective. set G : (ι →₀ R) →ₗ[R] M := Finsupp.total ι M R m with hG have G_basis_eq (i : ι) : G (Finsupp.single i 1) = m i := by simp [hG, toModule_lof] have G_surjective : Surjective G := by apply LinearMap.range_eq_top.mp apply top_le_iff.mp rw [← hm] apply Submodule.span_le.mpr rintro _ ⟨i, rfl⟩ use Finsupp.single i 1, G_basis_eq i set en : (ι →₀ R) ⊗[R] N := ∑ i, Finsupp.single i 1 ⊗ₜ n i with hen have en_mem_ker : en ∈ ker (rTensor N G) := by simp [hen, G_basis_eq, hmn] -- We have an exact sequence $\ker G \to R^\iota \to M \to 0$. have exact_ker_subtype : Exact (ker G).subtype G := G.exact_subtype_ker_map -- Tensor the exact sequence with $N$. have exact_rTensor_ker_subtype : Exact (rTensor N (ker G).subtype) (rTensor N G) := rTensor_exact (M := ↥(ker G)) N exact_ker_subtype G_surjective have en_mem_range : en ∈ range (rTensor N (ker G).subtype) := exact_rTensor_ker_subtype.linearMap_ker_eq ▸ en_mem_ker obtain ⟨kn, hkn⟩ := en_mem_range obtain ⟨ma, rfl : kn = ∑ kj ∈ ma, kj.1 ⊗ₜ[R] kj.2⟩ := exists_finset kn use ↑↑ma, FinsetCoe.fintype ma use fun i ⟨⟨kj, _⟩, _⟩ ↦ (kj : ι →₀ R) i use fun ⟨⟨_, yj⟩, _⟩ ↦ yj constructor · intro i apply_fun finsuppScalarLeft R N ι at hkn apply_fun (· i) at hkn symm at hkn simp only [map_sum, finsuppScalarLeft_apply_tmul, zero_smul, Finsupp.single_zero, Finsupp.sum_single_index, one_smul, Finsupp.finset_sum_apply, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ↓reduceIte, rTensor_tmul, coeSubtype, Finsupp.sum_apply, Finsupp.sum_ite_eq', Finsupp.mem_support_iff, ne_eq, ite_not, en] at hkn simp only [Finset.univ_eq_attach, Finset.sum_attach ma (fun x ↦ (x.1 : ι →₀ R) i • x.2)] convert hkn using 2 with x _ split · next h'x => rw [h'x, zero_smul] · rfl · rintro ⟨⟨⟨k, hk⟩, _⟩, _⟩ simpa only [hG, Finsupp.total_apply, zero_smul, implies_true, Finsupp.sum_fintype] using mem_ker.mp hk theorem vanishesTrivially_iff_sum_tmul_eq_zero (hm : Submodule.span R (Set.range m) = ⊤) : VanishesTrivially R m n ↔ ∑ i, m i ⊗ₜ n i = (0 : M ⊗[R] N) := ⟨sum_tmul_eq_zero_of_vanishesTrivially R, vanishesTrivially_of_sum_tmul_eq_zero R hm⟩
Mathlib/LinearAlgebra/TensorProduct/Vanishing.lean
175
192
theorem vanishesTrivially_of_sum_tmul_eq_zero_of_rTensor_injective (hm : Injective (rTensor N (span R (Set.range m)).subtype)) (hmn : ∑ i, m i ⊗ₜ n i = (0 : M ⊗[R] N)) : VanishesTrivially R m n := by
-- Restrict `m` on the codomain to $M'$, then apply `vanishesTrivially_of_sum_tmul_eq_zero`. have mem_M' i : m i ∈ span R (Set.range m) := subset_span ⟨i, rfl⟩ set m' : ι → span R (Set.range m) := Subtype.coind m mem_M' with m'_eq have hm' : span R (Set.range m') = ⊤ := by apply map_injective_of_injective (injective_subtype (span R (Set.range m))) rw [Submodule.map_span, Submodule.map_top, range_subtype, coeSubtype, ← Set.range_comp] rfl have hm'n : ∑ i, m' i ⊗ₜ n i = (0 : span R (Set.range m) ⊗[R] N) := by apply hm simp only [m'_eq, map_sum, rTensor_tmul, coeSubtype, Subtype.coind_coe, _root_.map_zero, hmn] have : VanishesTrivially R m' n := vanishesTrivially_of_sum_tmul_eq_zero R hm' hm'n unfold VanishesTrivially at this ⊢ convert this with κ _ a y j convert (injective_iff_map_eq_zero' _).mp (injective_subtype (span R (Set.range m))) _ simp [m'_eq]
15
import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Algebra.Polynomial.Eval import Mathlib.GroupTheory.GroupAction.Ring #align_import data.polynomial.derivative from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" noncomputable section open Finset open Polynomial namespace Polynomial universe u v w y z variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {A : Type z} {a b : R} {n : ℕ} section Derivative section Semiring variable [Semiring R] def derivative : R[X] →ₗ[R] R[X] where toFun p := p.sum fun n a => C (a * n) * X ^ (n - 1) map_add' p q := by dsimp only rw [sum_add_index] <;> simp only [add_mul, forall_const, RingHom.map_add, eq_self_iff_true, zero_mul, RingHom.map_zero] map_smul' a p := by dsimp; rw [sum_smul_index] <;> simp only [mul_sum, ← C_mul', mul_assoc, coeff_C_mul, RingHom.map_mul, forall_const, zero_mul, RingHom.map_zero, sum] #align polynomial.derivative Polynomial.derivative theorem derivative_apply (p : R[X]) : derivative p = p.sum fun n a => C (a * n) * X ^ (n - 1) := rfl #align polynomial.derivative_apply Polynomial.derivative_apply
Mathlib/Algebra/Polynomial/Derivative.lean
57
73
theorem coeff_derivative (p : R[X]) (n : ℕ) : coeff (derivative p) n = coeff p (n + 1) * (n + 1) := by
rw [derivative_apply] simp only [coeff_X_pow, coeff_sum, coeff_C_mul] rw [sum, Finset.sum_eq_single (n + 1)] · simp only [Nat.add_succ_sub_one, add_zero, mul_one, if_true, eq_self_iff_true]; norm_cast · intro b cases b · intros rw [Nat.cast_zero, mul_zero, zero_mul] · intro _ H rw [Nat.add_one_sub_one, if_neg (mt (congr_arg Nat.succ) H.symm), mul_zero] · rw [if_pos (add_tsub_cancel_right n 1).symm, mul_one, Nat.cast_add, Nat.cast_one, mem_support_iff] intro h push_neg at h simp [h]
15
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic import Mathlib.NumberTheory.GaussSum #align_import number_theory.legendre_symbol.quadratic_char.gauss_sum from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" section SpecialValues open ZMod MulChar variable {F : Type*} [Field F] [Fintype F] theorem quadraticChar_two [DecidableEq F] (hF : ringChar F ≠ 2) : quadraticChar F 2 = χ₈ (Fintype.card F) := IsQuadratic.eq_of_eq_coe (quadraticChar_isQuadratic F) isQuadratic_χ₈ hF ((quadraticChar_eq_pow_of_char_ne_two' hF 2).trans (FiniteField.two_pow_card hF)) #align quadratic_char_two quadraticChar_two theorem FiniteField.isSquare_two_iff : IsSquare (2 : F) ↔ Fintype.card F % 8 ≠ 3 ∧ Fintype.card F % 8 ≠ 5 := by classical by_cases hF : ringChar F = 2 focus have h := FiniteField.even_card_of_char_two hF simp only [FiniteField.isSquare_of_char_two hF, true_iff_iff] rotate_left focus have h := FiniteField.odd_card_of_char_ne_two hF rw [← quadraticChar_one_iff_isSquare (Ring.two_ne_zero hF), quadraticChar_two hF, χ₈_nat_eq_if_mod_eight] simp only [h, Nat.one_ne_zero, if_false, ite_eq_left_iff, Ne, (by decide : (-1 : ℤ) ≠ 1), imp_false, Classical.not_not] all_goals rw [← Nat.mod_mod_of_dvd _ (by decide : 2 ∣ 8)] at h have h₁ := Nat.mod_lt (Fintype.card F) (by decide : 0 < 8) revert h₁ h generalize Fintype.card F % 8 = n intros; interval_cases n <;> simp_all -- Porting note (#11043): was `decide!` #align finite_field.is_square_two_iff FiniteField.isSquare_two_iff theorem quadraticChar_neg_two [DecidableEq F] (hF : ringChar F ≠ 2) : quadraticChar F (-2) = χ₈' (Fintype.card F) := by rw [(by norm_num : (-2 : F) = -1 * 2), map_mul, χ₈'_eq_χ₄_mul_χ₈, quadraticChar_neg_one hF, quadraticChar_two hF, @cast_natCast _ (ZMod 4) _ _ _ (by decide : 4 ∣ 8)] #align quadratic_char_neg_two quadraticChar_neg_two theorem FiniteField.isSquare_neg_two_iff : IsSquare (-2 : F) ↔ Fintype.card F % 8 ≠ 5 ∧ Fintype.card F % 8 ≠ 7 := by classical by_cases hF : ringChar F = 2 focus have h := FiniteField.even_card_of_char_two hF simp only [FiniteField.isSquare_of_char_two hF, true_iff_iff] rotate_left focus have h := FiniteField.odd_card_of_char_ne_two hF rw [← quadraticChar_one_iff_isSquare (neg_ne_zero.mpr (Ring.two_ne_zero hF)), quadraticChar_neg_two hF, χ₈'_nat_eq_if_mod_eight] simp only [h, Nat.one_ne_zero, if_false, ite_eq_left_iff, Ne, (by decide : (-1 : ℤ) ≠ 1), imp_false, Classical.not_not] all_goals rw [← Nat.mod_mod_of_dvd _ (by decide : 2 ∣ 8)] at h have h₁ := Nat.mod_lt (Fintype.card F) (by decide : 0 < 8) revert h₁ h generalize Fintype.card F % 8 = n intros; interval_cases n <;> simp_all -- Porting note (#11043): was `decide!` #align finite_field.is_square_neg_two_iff FiniteField.isSquare_neg_two_iff
Mathlib/NumberTheory/LegendreSymbol/QuadraticChar/GaussSum.lean
97
115
theorem quadraticChar_card_card [DecidableEq F] (hF : ringChar F ≠ 2) {F' : Type*} [Field F'] [Fintype F'] [DecidableEq F'] (hF' : ringChar F' ≠ 2) (h : ringChar F' ≠ ringChar F) : quadraticChar F (Fintype.card F') = quadraticChar F' (quadraticChar F (-1) * Fintype.card F) := by
let χ := (quadraticChar F).ringHomComp (algebraMap ℤ F') have hχ₁ : χ.IsNontrivial := by obtain ⟨a, ha⟩ := quadraticChar_exists_neg_one hF have hu : IsUnit a := by contrapose ha exact ne_of_eq_of_ne (map_nonunit (quadraticChar F) ha) (mt zero_eq_neg.mp one_ne_zero) use hu.unit simp only [χ, IsUnit.unit_spec, ringHomComp_apply, eq_intCast, Ne, ha] rw [Int.cast_neg, Int.cast_one] exact Ring.neg_one_ne_one_of_char_ne_two hF' have hχ₂ : χ.IsQuadratic := IsQuadratic.comp (quadraticChar_isQuadratic F) _ have h := Char.card_pow_card hχ₁ hχ₂ h hF' rw [← quadraticChar_eq_pow_of_char_ne_two' hF'] at h exact (IsQuadratic.eq_of_eq_coe (quadraticChar_isQuadratic F') (quadraticChar_isQuadratic F) hF' h).symm
15
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} 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) #align has_finite_inter.finite_inter_mem FiniteInter.finiteInter_mem
Mathlib/Data/Set/Constructions.lean
66
82
theorem finiteInterClosure_insert {A : Set α} (cond : FiniteInter S) (P) (H : P ∈ finiteInterClosure (insert A S)) : P ∈ S ∨ ∃ Q ∈ S, P = A ∩ Q := by
induction' H with S h T1 T2 _ _ h1 h2 · cases h · exact Or.inr ⟨Set.univ, cond.univ_mem, by simpa⟩ · exact Or.inl (by assumption) · exact Or.inl cond.univ_mem · rcases h1 with (h | ⟨Q, hQ, rfl⟩) <;> rcases h2 with (i | ⟨R, hR, rfl⟩) · exact Or.inl (cond.inter_mem h i) · exact Or.inr ⟨T1 ∩ R, cond.inter_mem h hR, by simp only [← Set.inter_assoc, Set.inter_comm _ A]⟩ · exact Or.inr ⟨Q ∩ T2, cond.inter_mem hQ i, by simp only [Set.inter_assoc]⟩ · exact Or.inr ⟨Q ∩ R, cond.inter_mem hQ hR, by ext x constructor <;> simp (config := { contextual := true })⟩
15
import Mathlib.Geometry.Manifold.ContMDiff.Atlas import Mathlib.Geometry.Manifold.VectorBundle.FiberwiseLinear import Mathlib.Topology.VectorBundle.Constructions #align_import geometry.manifold.vector_bundle.basic from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833" assert_not_exists mfderiv open Bundle Set PartialHomeomorph open Function (id_def) open Filter open scoped Manifold Bundle Topology variable {𝕜 B B' F M : Type*} {E : B → Type*} section variable [TopologicalSpace F] [TopologicalSpace (TotalSpace F E)] [∀ x, TopologicalSpace (E x)] {HB : Type*} [TopologicalSpace HB] [TopologicalSpace B] [ChartedSpace HB B] [FiberBundle F E] instance FiberBundle.chartedSpace' : ChartedSpace (B × F) (TotalSpace F E) where atlas := (fun e : Trivialization F (π F E) => e.toPartialHomeomorph) '' trivializationAtlas F E chartAt x := (trivializationAt F E x.proj).toPartialHomeomorph mem_chart_source x := (trivializationAt F E x.proj).mem_source.mpr (mem_baseSet_trivializationAt F E x.proj) chart_mem_atlas _ := mem_image_of_mem _ (trivialization_mem_atlas F E _) #align fiber_bundle.charted_space FiberBundle.chartedSpace' theorem FiberBundle.chartedSpace'_chartAt (x : TotalSpace F E) : chartAt (B × F) x = (trivializationAt F E x.proj).toPartialHomeomorph := rfl --attribute [local reducible] ModelProd instance FiberBundle.chartedSpace : ChartedSpace (ModelProd HB F) (TotalSpace F E) := ChartedSpace.comp _ (B × F) _ #align fiber_bundle.charted_space' FiberBundle.chartedSpace theorem FiberBundle.chartedSpace_chartAt (x : TotalSpace F E) : chartAt (ModelProd HB F) x = (trivializationAt F E x.proj).toPartialHomeomorph ≫ₕ (chartAt HB x.proj).prod (PartialHomeomorph.refl F) := by dsimp only [chartAt_comp, prodChartedSpace_chartAt, FiberBundle.chartedSpace'_chartAt, chartAt_self_eq] rw [Trivialization.coe_coe, Trivialization.coe_fst' _ (mem_baseSet_trivializationAt F E x.proj)] #align fiber_bundle.charted_space_chart_at FiberBundle.chartedSpace_chartAt theorem FiberBundle.chartedSpace_chartAt_symm_fst (x : TotalSpace F E) (y : ModelProd HB F) (hy : y ∈ (chartAt (ModelProd HB F) x).target) : ((chartAt (ModelProd HB F) x).symm y).proj = (chartAt HB x.proj).symm y.1 := by simp only [FiberBundle.chartedSpace_chartAt, mfld_simps] at hy ⊢ exact (trivializationAt F E x.proj).proj_symm_apply hy.2 #align fiber_bundle.charted_space_chart_at_symm_fst FiberBundle.chartedSpace_chartAt_symm_fst end section variable [NontriviallyNormedField 𝕜] [NormedAddCommGroup F] [NormedSpace 𝕜 F] [TopologicalSpace (TotalSpace F E)] [∀ x, TopologicalSpace (E x)] {EB : Type*} [NormedAddCommGroup EB] [NormedSpace 𝕜 EB] {HB : Type*} [TopologicalSpace HB] (IB : ModelWithCorners 𝕜 EB HB) (E' : B → Type*) [∀ x, Zero (E' x)] {EM : Type*} [NormedAddCommGroup EM] [NormedSpace 𝕜 EM] {HM : Type*} [TopologicalSpace HM] {IM : ModelWithCorners 𝕜 EM HM} [TopologicalSpace M] [ChartedSpace HM M] [Is : SmoothManifoldWithCorners IM M] {n : ℕ∞} variable [TopologicalSpace B] [ChartedSpace HB B] [FiberBundle F E] protected theorem FiberBundle.extChartAt (x : TotalSpace F E) : extChartAt (IB.prod 𝓘(𝕜, F)) x = (trivializationAt F E x.proj).toPartialEquiv ≫ (extChartAt IB x.proj).prod (PartialEquiv.refl F) := by simp_rw [extChartAt, FiberBundle.chartedSpace_chartAt, extend] simp only [PartialEquiv.trans_assoc, mfld_simps] -- Porting note: should not be needed rw [PartialEquiv.prod_trans, PartialEquiv.refl_trans] #align fiber_bundle.ext_chart_at FiberBundle.extChartAt protected theorem FiberBundle.extChartAt_target (x : TotalSpace F E) : (extChartAt (IB.prod 𝓘(𝕜, F)) x).target = ((extChartAt IB x.proj).target ∩ (extChartAt IB x.proj).symm ⁻¹' (trivializationAt F E x.proj).baseSet) ×ˢ univ := by rw [FiberBundle.extChartAt, PartialEquiv.trans_target, Trivialization.target_eq, inter_prod] rfl theorem FiberBundle.writtenInExtChartAt_trivializationAt {x : TotalSpace F E} {y} (hy : y ∈ (extChartAt (IB.prod 𝓘(𝕜, F)) x).target) : writtenInExtChartAt (IB.prod 𝓘(𝕜, F)) (IB.prod 𝓘(𝕜, F)) x (trivializationAt F E x.proj) y = y := writtenInExtChartAt_chartAt_comp _ _ hy theorem FiberBundle.writtenInExtChartAt_trivializationAt_symm {x : TotalSpace F E} {y} (hy : y ∈ (extChartAt (IB.prod 𝓘(𝕜, F)) x).target) : writtenInExtChartAt (IB.prod 𝓘(𝕜, F)) (IB.prod 𝓘(𝕜, F)) (trivializationAt F E x.proj x) (trivializationAt F E x.proj).toPartialHomeomorph.symm y = y := writtenInExtChartAt_chartAt_symm_comp _ _ hy namespace Bundle variable {IB}
Mathlib/Geometry/Manifold/VectorBundle/Basic.lean
178
196
theorem contMDiffWithinAt_totalSpace (f : M → TotalSpace F E) {s : Set M} {x₀ : M} : ContMDiffWithinAt IM (IB.prod 𝓘(𝕜, F)) n f s x₀ ↔ ContMDiffWithinAt IM IB n (fun x => (f x).proj) s x₀ ∧ ContMDiffWithinAt IM 𝓘(𝕜, F) n (fun x ↦ (trivializationAt F E (f x₀).proj (f x)).2) s x₀ := by
simp (config := { singlePass := true }) only [contMDiffWithinAt_iff_target] rw [and_and_and_comm, ← FiberBundle.continuousWithinAt_totalSpace, and_congr_right_iff] intro hf simp_rw [modelWithCornersSelf_prod, FiberBundle.extChartAt, Function.comp, PartialEquiv.trans_apply, PartialEquiv.prod_coe, PartialEquiv.refl_coe, extChartAt_self_apply, modelWithCornersSelf_coe, Function.id_def, ← chartedSpaceSelf_prod] refine (contMDiffWithinAt_prod_iff _).trans (and_congr ?_ Iff.rfl) have h1 : (fun x => (f x).proj) ⁻¹' (trivializationAt F E (f x₀).proj).baseSet ∈ 𝓝[s] x₀ := ((FiberBundle.continuous_proj F E).continuousWithinAt.comp hf (mapsTo_image f s)) ((Trivialization.open_baseSet _).mem_nhds (mem_baseSet_trivializationAt F E _)) refine EventuallyEq.contMDiffWithinAt_iff (eventually_of_mem h1 fun x hx => ?_) ?_ · simp_rw [Function.comp, PartialHomeomorph.coe_coe, Trivialization.coe_coe] rw [Trivialization.coe_fst'] exact hx · simp only [mfld_simps]
15
import Mathlib.LinearAlgebra.Basis import Mathlib.LinearAlgebra.Multilinear.Basic #align_import linear_algebra.multilinear.basis from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" open MultilinearMap variable {R : Type*} {ι : Type*} {n : ℕ} {M : Fin n → Type*} {M₂ : Type*} {M₃ : Type*} variable [CommSemiring R] [AddCommMonoid M₂] [AddCommMonoid M₃] [∀ i, AddCommMonoid (M i)] variable [∀ i, Module R (M i)] [Module R M₂] [Module R M₃]
Mathlib/LinearAlgebra/Multilinear/Basis.lean
32
49
theorem Basis.ext_multilinear_fin {f g : MultilinearMap R M M₂} {ι₁ : Fin n → Type*} (e : ∀ i, Basis (ι₁ i) R (M i)) (h : ∀ v : ∀ i, ι₁ i, (f fun i => e i (v i)) = g fun i => e i (v i)) : f = g := by
induction' n with m hm · ext x convert h finZeroElim · apply Function.LeftInverse.injective uncurry_curryLeft refine Basis.ext (e 0) ?_ intro i apply hm (Fin.tail e) intro j convert h (Fin.cons i j) iterate 2 rw [curryLeft_apply] congr 1 with x refine Fin.cases rfl (fun x => ?_) x dsimp [Fin.tail] rw [Fin.cons_succ, Fin.cons_succ]
15
import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.RingTheory.WittVector.Truncated #align_import ring_theory.witt_vector.mul_coeff from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section namespace WittVector variable (p : ℕ) [hp : Fact p.Prime] variable {k : Type*} [CommRing k] local notation "𝕎" => WittVector p -- Porting note: new notation local notation "𝕄" => MvPolynomial (Fin 2 × ℕ) ℤ open Finset MvPolynomial def wittPolyProd (n : ℕ) : 𝕄 := rename (Prod.mk (0 : Fin 2)) (wittPolynomial p ℤ n) * rename (Prod.mk (1 : Fin 2)) (wittPolynomial p ℤ n) #align witt_vector.witt_poly_prod WittVector.wittPolyProd theorem wittPolyProd_vars (n : ℕ) : (wittPolyProd p n).vars ⊆ univ ×ˢ range (n + 1) := by rw [wittPolyProd] apply Subset.trans (vars_mul _ _) refine union_subset ?_ ?_ <;> · refine Subset.trans (vars_rename _ _) ?_ simp [wittPolynomial_vars, image_subset_iff] #align witt_vector.witt_poly_prod_vars WittVector.wittPolyProd_vars def wittPolyProdRemainder (n : ℕ) : 𝕄 := ∑ i ∈ range n, (p : 𝕄) ^ i * wittMul p i ^ p ^ (n - i) #align witt_vector.witt_poly_prod_remainder WittVector.wittPolyProdRemainder
Mathlib/RingTheory/WittVector/MulCoeff.lean
69
85
theorem wittPolyProdRemainder_vars (n : ℕ) : (wittPolyProdRemainder p n).vars ⊆ univ ×ˢ range n := by
rw [wittPolyProdRemainder] refine Subset.trans (vars_sum_subset _ _) ?_ rw [biUnion_subset] intro x hx apply Subset.trans (vars_mul _ _) refine union_subset ?_ ?_ · apply Subset.trans (vars_pow _ _) have : (p : 𝕄) = C (p : ℤ) := by simp only [Int.cast_natCast, eq_intCast] rw [this, vars_C] apply empty_subset · apply Subset.trans (vars_pow _ _) apply Subset.trans (wittMul_vars _ _) apply product_subset_product (Subset.refl _) simp only [mem_range, range_subset] at hx ⊢ exact hx
15
import Mathlib.LinearAlgebra.Dimension.Constructions import Mathlib.LinearAlgebra.Dimension.Finite universe u v open Function Set Cardinal variable {R} {M M₁ M₂ M₃ : Type u} {M' : Type v} [Ring R] variable [AddCommGroup M] [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M'] variable [Module R M] [Module R M₁] [Module R M₂] [Module R M₃] [Module R M'] @[pp_with_univ] class HasRankNullity (R : Type v) [inst : Ring R] : Prop where exists_set_linearIndependent : ∀ (M : Type u) [AddCommGroup M] [Module R M], ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val rank_quotient_add_rank : ∀ {M : Type u} [AddCommGroup M] [Module R M] (N : Submodule R M), Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M variable [HasRankNullity.{u} R] lemma rank_quotient_add_rank (N : Submodule R M) : Module.rank R (M ⧸ N) + Module.rank R N = Module.rank R M := HasRankNullity.rank_quotient_add_rank N #align rank_quotient_add_rank rank_quotient_add_rank variable (R M) in lemma exists_set_linearIndependent : ∃ s : Set M, #s = Module.rank R M ∧ LinearIndependent (ι := s) R Subtype.val := HasRankNullity.exists_set_linearIndependent M variable (R) in instance (priority := 100) : Nontrivial R := by refine (subsingleton_or_nontrivial R).resolve_left fun H ↦ ?_ have := rank_quotient_add_rank (R := R) (M := PUnit) ⊥ simp [one_add_one_eq_two] at this theorem lift_rank_range_add_rank_ker (f : M →ₗ[R] M') : lift.{u} (Module.rank R (LinearMap.range f)) + lift.{v} (Module.rank R (LinearMap.ker f)) = lift.{v} (Module.rank R M) := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.lift_rank_eq, ← lift_add, rank_quotient_add_rank] theorem rank_range_add_rank_ker (f : M →ₗ[R] M₁) : Module.rank R (LinearMap.range f) + Module.rank R (LinearMap.ker f) = Module.rank R M := by haveI := fun p : Submodule R M => Classical.decEq (M ⧸ p) rw [← f.quotKerEquivRange.rank_eq, rank_quotient_add_rank] #align rank_range_add_rank_ker rank_range_add_rank_ker theorem lift_rank_eq_of_surjective {f : M →ₗ[R] M'} (h : Surjective f) : lift.{v} (Module.rank R M) = lift.{u} (Module.rank R M') + lift.{v} (Module.rank R (LinearMap.ker f)) := by rw [← lift_rank_range_add_rank_ker f, ← rank_range_of_surjective f h] theorem rank_eq_of_surjective {f : M →ₗ[R] M₁} (h : Surjective f) : Module.rank R M = Module.rank R M₁ + Module.rank R (LinearMap.ker f) := by rw [← rank_range_add_rank_ker f, ← rank_range_of_surjective f h] #align rank_eq_of_surjective rank_eq_of_surjective
Mathlib/LinearAlgebra/Dimension/RankNullity.lean
91
109
theorem exists_linearIndependent_of_lt_rank [StrongRankCondition R] {s : Set M} (hs : LinearIndependent (ι := s) R Subtype.val) : ∃ t, s ⊆ t ∧ #t = Module.rank R M ∧ LinearIndependent (ι := t) R Subtype.val := by
obtain ⟨t, ht, ht'⟩ := exists_set_linearIndependent R (M ⧸ Submodule.span R s) choose sec hsec using Submodule.Quotient.mk_surjective (Submodule.span R s) have hsec' : Submodule.Quotient.mk ∘ sec = id := funext hsec have hst : Disjoint s (sec '' t) := by rw [Set.disjoint_iff] rintro _ ⟨hxs, ⟨x, hxt, rfl⟩⟩ apply ht'.ne_zero ⟨x, hxt⟩ rw [Subtype.coe_mk, ← hsec x, Submodule.Quotient.mk_eq_zero] exact Submodule.subset_span hxs refine ⟨s ∪ sec '' t, subset_union_left, ?_, ?_⟩ · rw [Cardinal.mk_union_of_disjoint hst, Cardinal.mk_image_eq, ht, ← rank_quotient_add_rank (Submodule.span R s), add_comm, rank_span_set hs] exact HasLeftInverse.injective ⟨Submodule.Quotient.mk, hsec⟩ · apply LinearIndependent.union_of_quotient Submodule.subset_span hs rwa [Function.comp, linearIndependent_image (hsec'.symm ▸ injective_id).injOn.image_of_comp, ← image_comp, hsec', image_id]
16
import Mathlib.Algebra.Associated import Mathlib.Algebra.BigOperators.Finsupp #align_import algebra.big_operators.associated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {α β γ δ : Type*} -- the same local notation used in `Algebra.Associated` local infixl:50 " ~ᵤ " => Associated theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} : x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 := ⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩, ⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩, fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ => ⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩ theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M) (g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by induction s using Finset.induction with | empty => simp only [Finset.prod_empty] rfl | @insert j s hjs IH => classical convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i) rw [Finset.prod_insert hjs, Finset.prod_insert hjs] exact Associated.mul_mul (h j (Finset.mem_insert_self j s)) (IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi))) theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p) {s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q := Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by rw [Multiset.prod_cons] at hps cases' hp.dvd_or_dvd hps with h h · have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl)) exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩ · rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩ exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩ #align exists_associated_mem_of_dvd_prod exists_associated_mem_of_dvd_prod
Mathlib/Algebra/BigOperators/Associated.lean
82
100
theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α] [∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by
induction' s using Multiset.induction_on with a s induct n primes divs generalizing n · simp only [Multiset.prod_zero, one_dvd] · rw [Multiset.prod_cons] obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s) apply mul_dvd_mul_left a refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_) fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a) have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s) have a_prime := h a (Multiset.mem_cons_self a s) have b_prime := h b (Multiset.mem_cons_of_mem b_in_s) refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_ have assoc := b_prime.associated_of_dvd a_prime b_div_a have := uniq a rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt, Multiset.countP_pos] at this exact this ⟨b, b_in_s, assoc.symm⟩
16
import Mathlib.NumberTheory.FLT.Basic import Mathlib.NumberTheory.PythagoreanTriples import Mathlib.RingTheory.Coprime.Lemmas import Mathlib.Tactic.LinearCombination #align_import number_theory.fermat4 from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" noncomputable section open scoped Classical def Fermat42 (a b c : ℤ) : Prop := a ≠ 0 ∧ b ≠ 0 ∧ a ^ 4 + b ^ 4 = c ^ 2 #align fermat_42 Fermat42 namespace Fermat42 theorem comm {a b c : ℤ} : Fermat42 a b c ↔ Fermat42 b a c := by delta Fermat42 rw [add_comm] tauto #align fermat_42.comm Fermat42.comm
Mathlib/NumberTheory/FLT/Four.lean
38
55
theorem mul {a b c k : ℤ} (hk0 : k ≠ 0) : Fermat42 a b c ↔ Fermat42 (k * a) (k * b) (k ^ 2 * c) := by
delta Fermat42 constructor · intro f42 constructor · exact mul_ne_zero hk0 f42.1 constructor · exact mul_ne_zero hk0 f42.2.1 · have H : a ^ 4 + b ^ 4 = c ^ 2 := f42.2.2 linear_combination k ^ 4 * H · intro f42 constructor · exact right_ne_zero_of_mul f42.1 constructor · exact right_ne_zero_of_mul f42.2.1 apply (mul_right_inj' (pow_ne_zero 4 hk0)).mp linear_combination f42.2.2
16
import Batteries.Data.UnionFind.Basic namespace Batteries.UnionFind @[simp] theorem arr_empty : empty.arr = #[] := rfl @[simp] theorem parent_empty : empty.parent a = a := rfl @[simp] theorem rank_empty : empty.rank a = 0 := rfl @[simp] theorem rootD_empty : empty.rootD a = a := rfl @[simp] theorem arr_push {m : UnionFind} : m.push.arr = m.arr.push ⟨m.arr.size, 0⟩ := rfl @[simp] theorem parentD_push {arr : Array UFNode} : parentD (arr.push ⟨arr.size, 0⟩) a = parentD arr a := by simp [parentD]; split <;> split <;> try simp [Array.get_push, *] · next h1 h2 => simp [Nat.lt_succ] at h1 h2 exact Nat.le_antisymm h2 h1 · next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2) @[simp] theorem parent_push {m : UnionFind} : m.push.parent a = m.parent a := by simp [parent] @[simp] theorem rankD_push {arr : Array UFNode} : rankD (arr.push ⟨arr.size, 0⟩) a = rankD arr a := by simp [rankD]; split <;> split <;> try simp [Array.get_push, *] next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2) @[simp] theorem rank_push {m : UnionFind} : m.push.rank a = m.rank a := by simp [rank] @[simp] theorem rankMax_push {m : UnionFind} : m.push.rankMax = m.rankMax := by simp [rankMax] @[simp] theorem root_push {self : UnionFind} : self.push.rootD x = self.rootD x := rootD_ext fun _ => parent_push @[simp] theorem arr_link : (link self x y yroot).arr = linkAux self.arr x y := rfl theorem parentD_linkAux {self} {x y : Fin self.size} : parentD (linkAux self x y) i = if x.1 = y then parentD self i else if (self.get y).rank < (self.get x).rank then if y = i then x else parentD self i else if x = i then y else parentD self i := by dsimp only [linkAux]; split <;> [rfl; split] <;> [rw [parentD_set]; split] <;> rw [parentD_set] split <;> [(subst i; rwa [if_neg, parentD_eq]); rw [parentD_set]] theorem parent_link {self} {x y : Fin self.size} (yroot) {i} : (link self x y yroot).parent i = if x.1 = y then self.parent i else if self.rank y < self.rank x then if y = i then x else self.parent i else if x = i then y else self.parent i := by simp [rankD_eq]; exact parentD_linkAux theorem root_link {self : UnionFind} {x y : Fin self.size} (xroot : self.parent x = x) (yroot : self.parent y = y) : ∃ r, (r = x ∨ r = y) ∧ ∀ i, (link self x y yroot).rootD i = if self.rootD i = x ∨ self.rootD i = y then r.1 else self.rootD i := by if h : x.1 = y then refine ⟨x, .inl rfl, fun i => ?_⟩ rw [rootD_ext (m2 := self) (fun _ => by rw [parent_link, if_pos h])] split <;> [obtain _ | _ := ‹_› <;> simp [*]; rfl] else have {x y : Fin self.size} (xroot : self.parent x = x) (yroot : self.parent y = y) {m : UnionFind} (hm : ∀ i, m.parent i = if y = i then x.1 else self.parent i) : ∃ r, (r = x ∨ r = y) ∧ ∀ i, m.rootD i = if self.rootD i = x ∨ self.rootD i = y then r.1 else self.rootD i := by let rec go (i) : m.rootD i = if self.rootD i = x ∨ self.rootD i = y then x.1 else self.rootD i := by if h : m.parent i = i then rw [rootD_eq_self.2 h]; rw [hm i] at h; split at h · rw [if_pos, h]; simp [← h, rootD_eq_self, xroot] · rw [rootD_eq_self.2 ‹_›]; split <;> [skip; rfl] next h' => exact h'.resolve_right (Ne.symm ‹_›) else have _ := Nat.sub_lt_sub_left (m.lt_rankMax i) (m.rank_lt h) rw [← rootD_parent, go (m.parent i)] rw [hm i]; split <;> [subst i; rw [rootD_parent]] simp [rootD_eq_self.2 xroot, rootD_eq_self.2 yroot] termination_by m.rankMax - m.rank i exact ⟨x, .inl rfl, go⟩ if hr : self.rank y < self.rank x then exact this xroot yroot fun i => by simp [parent_link, h, hr] else simpa (config := {singlePass := true}) [or_comm] using this yroot xroot fun i => by simp [parent_link, h, hr] nonrec theorem Equiv.rfl : Equiv self a a := rfl theorem Equiv.symm : Equiv self a b → Equiv self b a := .symm theorem Equiv.trans : Equiv self a b → Equiv self b c → Equiv self a c := .trans @[simp] theorem equiv_empty : Equiv empty a b ↔ a = b := by simp [Equiv] @[simp] theorem equiv_push : Equiv self.push a b ↔ Equiv self a b := by simp [Equiv] @[simp] theorem equiv_rootD : Equiv self (self.rootD a) a := by simp [Equiv, rootD_rootD] @[simp] theorem equiv_rootD_l : Equiv self (self.rootD a) b ↔ Equiv self a b := by simp [Equiv, rootD_rootD] @[simp] theorem equiv_rootD_r : Equiv self a (self.rootD b) ↔ Equiv self a b := by simp [Equiv, rootD_rootD] theorem equiv_find : Equiv (self.find x).1 a b ↔ Equiv self a b := by simp [Equiv, find_root_1]
.lake/packages/batteries/Batteries/Data/UnionFind/Lemmas.lean
115
134
theorem equiv_link {self : UnionFind} {x y : Fin self.size} (xroot : self.parent x = x) (yroot : self.parent y = y) : Equiv (link self x y yroot) a b ↔ Equiv self a b ∨ Equiv self a x ∧ Equiv self y b ∨ Equiv self a y ∧ Equiv self x b := by
have {m : UnionFind} {x y : Fin self.size} (xroot : self.rootD x = x) (yroot : self.rootD y = y) (hm : ∀ i, m.rootD i = if self.rootD i = x ∨ self.rootD i = y then x.1 else self.rootD i) : Equiv m a b ↔ Equiv self a b ∨ Equiv self a x ∧ Equiv self y b ∨ Equiv self a y ∧ Equiv self x b := by simp [Equiv, hm, xroot, yroot] by_cases h1 : rootD self a = x <;> by_cases h2 : rootD self b = x <;> simp [h1, h2, imp_false, Decidable.not_not] · simp [h2, Ne.symm h2]; split <;> simp [@eq_comm _ _ (rootD self b), *] · by_cases h1 : rootD self a = y <;> by_cases h2 : rootD self b = y <;> simp [h1, h2, @eq_comm _ _ (rootD self b), *] obtain ⟨r, ha, hr⟩ := root_link xroot yroot; revert hr rw [← rootD_eq_self] at xroot yroot obtain rfl | rfl := ha · exact this xroot yroot · simpa [or_comm, and_comm] using this yroot xroot
16
import Mathlib.Topology.MetricSpace.PiNat #align_import topology.metric_space.cantor_scheme from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993" namespace CantorScheme open List Function Filter Set PiNat open scoped Classical open Topology variable {β α : Type*} (A : List β → Set α) noncomputable def inducedMap : Σs : Set (ℕ → β), s → α := ⟨fun x => Set.Nonempty (⋂ n : ℕ, A (res x n)), fun x => x.property.some⟩ #align cantor_scheme.induced_map CantorScheme.inducedMap section Topology protected def Antitone : Prop := ∀ l : List β, ∀ a : β, A (a :: l) ⊆ A l #align cantor_scheme.antitone CantorScheme.Antitone def ClosureAntitone [TopologicalSpace α] : Prop := ∀ l : List β, ∀ a : β, closure (A (a :: l)) ⊆ A l #align cantor_scheme.closure_antitone CantorScheme.ClosureAntitone protected def Disjoint : Prop := ∀ l : List β, Pairwise fun a b => Disjoint (A (a :: l)) (A (b :: l)) #align cantor_scheme.disjoint CantorScheme.Disjoint variable {A} theorem map_mem (x : (inducedMap A).1) (n : ℕ) : (inducedMap A).2 x ∈ A (res x n) := by have := x.property.some_mem rw [mem_iInter] at this exact this n #align cantor_scheme.map_mem CantorScheme.map_mem protected theorem ClosureAntitone.antitone [TopologicalSpace α] (hA : ClosureAntitone A) : CantorScheme.Antitone A := fun l a => subset_closure.trans (hA l a) #align cantor_scheme.closure_antitone.antitone CantorScheme.ClosureAntitone.antitone protected theorem Antitone.closureAntitone [TopologicalSpace α] (hanti : CantorScheme.Antitone A) (hclosed : ∀ l, IsClosed (A l)) : ClosureAntitone A := fun _ _ => (hclosed _).closure_eq.subset.trans (hanti _ _) #align cantor_scheme.antitone.closure_antitone CantorScheme.Antitone.closureAntitone
Mathlib/Topology/MetricSpace/CantorScheme.lean
99
115
theorem Disjoint.map_injective (hA : CantorScheme.Disjoint A) : Injective (inducedMap A).2 := by
rintro ⟨x, hx⟩ ⟨y, hy⟩ hxy refine Subtype.coe_injective (res_injective ?_) dsimp ext n : 1 induction' n with n ih; · simp simp only [res_succ, cons.injEq] refine ⟨?_, ih⟩ contrapose hA simp only [CantorScheme.Disjoint, _root_.Pairwise, Ne, not_forall, exists_prop] refine ⟨res x n, _, _, hA, ?_⟩ rw [not_disjoint_iff] refine ⟨(inducedMap A).2 ⟨x, hx⟩, ?_, ?_⟩ · rw [← res_succ] apply map_mem rw [hxy, ih, ← res_succ] apply map_mem
16
import Mathlib.CategoryTheory.Comma.StructuredArrow import Mathlib.CategoryTheory.IsConnected import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Terminal import Mathlib.CategoryTheory.Limits.Shapes.Types import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.CategoryTheory.Limits.Yoneda import Mathlib.CategoryTheory.PUnit #align_import category_theory.limits.final from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b" noncomputable section universe v v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory namespace Functor open Opposite open CategoryTheory.Limits section ArbitraryUniverse variable {C : Type u₁} [Category.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] class Final (F : C ⥤ D) : Prop where out (d : D) : IsConnected (StructuredArrow d F) #align category_theory.functor.final CategoryTheory.Functor.Final attribute [instance] Final.out class Initial (F : C ⥤ D) : Prop where out (d : D) : IsConnected (CostructuredArrow F d) #align category_theory.functor.initial CategoryTheory.Functor.Initial attribute [instance] Initial.out instance final_op_of_initial (F : C ⥤ D) [Initial F] : Final F.op where out d := isConnected_of_equivalent (costructuredArrowOpEquivalence F (unop d)) #align category_theory.functor.final_op_of_initial CategoryTheory.Functor.final_op_of_initial instance initial_op_of_final (F : C ⥤ D) [Final F] : Initial F.op where out d := isConnected_of_equivalent (structuredArrowOpEquivalence F (unop d)) #align category_theory.functor.initial_op_of_final CategoryTheory.Functor.initial_op_of_final theorem final_of_initial_op (F : C ⥤ D) [Initial F.op] : Final F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (structuredArrowOpEquivalence F d).symm) } #align category_theory.functor.final_of_initial_op CategoryTheory.Functor.final_of_initial_op theorem initial_of_final_op (F : C ⥤ D) [Final F.op] : Initial F := { out := fun d => @isConnected_of_isConnected_op _ _ (isConnected_of_equivalent (costructuredArrowOpEquivalence F d).symm) } #align category_theory.functor.initial_of_final_op CategoryTheory.Functor.initial_of_final_op theorem final_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Final R := { out := fun c => let u : StructuredArrow c R := StructuredArrow.mk (adj.unit.app c) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inr ⟨StructuredArrow.homMk ((adj.homEquiv c f.right).symm f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inl ⟨StructuredArrow.homMk ((adj.homEquiv c g.right).symm g.hom) (by simp [u])⟩)) } #align category_theory.functor.final_of_adjunction CategoryTheory.Functor.final_of_adjunction theorem initial_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Initial L := { out := fun d => let u : CostructuredArrow L d := CostructuredArrow.mk (adj.counit.app d) @zigzag_isConnected _ _ ⟨u⟩ fun f g => Relation.ReflTransGen.trans (Relation.ReflTransGen.single (show Zag f u from Or.inl ⟨CostructuredArrow.homMk (adj.homEquiv f.left d f.hom) (by simp [u])⟩)) (Relation.ReflTransGen.single (show Zag u g from Or.inr ⟨CostructuredArrow.homMk (adj.homEquiv g.left d g.hom) (by simp [u])⟩)) } #align category_theory.functor.initial_of_adjunction CategoryTheory.Functor.initial_of_adjunction instance (priority := 100) final_of_isRightAdjoint (F : C ⥤ D) [IsRightAdjoint F] : Final F := final_of_adjunction (Adjunction.ofIsRightAdjoint F) #align category_theory.functor.final_of_is_right_adjoint CategoryTheory.Functor.final_of_isRightAdjoint instance (priority := 100) initial_of_isLeftAdjoint (F : C ⥤ D) [IsLeftAdjoint F] : Initial F := initial_of_adjunction (Adjunction.ofIsLeftAdjoint F) #align category_theory.functor.initial_of_is_left_adjoint CategoryTheory.Functor.initial_of_isLeftAdjoint theorem final_of_natIso {F F' : C ⥤ D} [Final F] (i : F ≅ F') : Final F' where out _ := isConnected_of_equivalent (StructuredArrow.mapNatIso i) theorem final_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Final F ↔ Final F' := ⟨fun _ => final_of_natIso i, fun _ => final_of_natIso i.symm⟩ theorem initial_of_natIso {F F' : C ⥤ D} [Initial F] (i : F ≅ F') : Initial F' where out _ := isConnected_of_equivalent (CostructuredArrow.mapNatIso i) theorem initial_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Initial F ↔ Initial F' := ⟨fun _ => initial_of_natIso i, fun _ => initial_of_natIso i.symm⟩ section LocallySmall variable {C : Type v} [Category.{v} C] {D : Type u₁} [Category.{v} D] (F : C ⥤ D) namespace Final
Mathlib/CategoryTheory/Limits/Final.lean
386
404
theorem zigzag_of_eqvGen_quot_rel {F : C ⥤ D} {d : D} {f₁ f₂ : ΣX, d ⟶ F.obj X} (t : EqvGen (Types.Quot.Rel.{v, v} (F ⋙ coyoneda.obj (op d))) f₁ f₂) : Zigzag (StructuredArrow.mk f₁.2) (StructuredArrow.mk f₂.2) := by
induction t with | rel x y r => obtain ⟨f, w⟩ := r fconstructor swap · fconstructor left; fconstructor exact StructuredArrow.homMk f | refl => fconstructor | symm x y _ ih => apply zigzag_symmetric exact ih | trans x y z _ _ ih₁ ih₂ => apply Relation.ReflTransGen.trans · exact ih₁ · exact ih₂
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import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.RingTheory.Ideal.LocalRing import Mathlib.RingTheory.Valuation.PrimeMultiplicity import Mathlib.RingTheory.AdicCompletion.Basic #align_import ring_theory.discrete_valuation_ring.basic from "leanprover-community/mathlib"@"c163ec99dfc664628ca15d215fce0a5b9c265b68" open scoped Classical universe u open Ideal LocalRing class DiscreteValuationRing (R : Type u) [CommRing R] [IsDomain R] extends IsPrincipalIdealRing R, LocalRing R : Prop where not_a_field' : maximalIdeal R ≠ ⊥ #align discrete_valuation_ring DiscreteValuationRing namespace DiscreteValuationRing variable (R : Type*) def HasUnitMulPowIrreducibleFactorization [CommRing R] : Prop := ∃ p : R, Irreducible p ∧ ∀ {x : R}, x ≠ 0 → ∃ n : ℕ, Associated (p ^ n) x #align discrete_valuation_ring.has_unit_mul_pow_irreducible_factorization DiscreteValuationRing.HasUnitMulPowIrreducibleFactorization namespace HasUnitMulPowIrreducibleFactorization variable {R} [CommRing R] (hR : HasUnitMulPowIrreducibleFactorization R) theorem unique_irreducible ⦃p q : R⦄ (hp : Irreducible p) (hq : Irreducible q) : Associated p q := by rcases hR with ⟨ϖ, hϖ, hR⟩ suffices ∀ {p : R} (_ : Irreducible p), Associated p ϖ by apply Associated.trans (this hp) (this hq).symm clear hp hq p q intro p hp obtain ⟨n, hn⟩ := hR hp.ne_zero have : Irreducible (ϖ ^ n) := hn.symm.irreducible hp rcases lt_trichotomy n 1 with (H | rfl | H) · obtain rfl : n = 0 := by clear hn this revert H n decide simp [not_irreducible_one, pow_zero] at this · simpa only [pow_one] using hn.symm · obtain ⟨n, rfl⟩ : ∃ k, n = 1 + k + 1 := Nat.exists_eq_add_of_lt H rw [pow_succ'] at this rcases this.isUnit_or_isUnit rfl with (H0 | H0) · exact (hϖ.not_unit H0).elim · rw [add_comm, pow_succ'] at H0 exact (hϖ.not_unit (isUnit_of_mul_isUnit_left H0)).elim #align discrete_valuation_ring.has_unit_mul_pow_irreducible_factorization.unique_irreducible DiscreteValuationRing.HasUnitMulPowIrreducibleFactorization.unique_irreducible variable [IsDomain R] theorem toUniqueFactorizationMonoid : UniqueFactorizationMonoid R := let p := Classical.choose hR let spec := Classical.choose_spec hR UniqueFactorizationMonoid.of_exists_prime_factors fun x hx => by use Multiset.replicate (Classical.choose (spec.2 hx)) p constructor · intro q hq have hpq := Multiset.eq_of_mem_replicate hq rw [hpq] refine ⟨spec.1.ne_zero, spec.1.not_unit, ?_⟩ intro a b h by_cases ha : a = 0 · rw [ha] simp only [true_or_iff, dvd_zero] obtain ⟨m, u, rfl⟩ := spec.2 ha rw [mul_assoc, mul_left_comm, Units.dvd_mul_left] at h rw [Units.dvd_mul_right] by_cases hm : m = 0 · simp only [hm, one_mul, pow_zero] at h ⊢ right exact h left obtain ⟨m, rfl⟩ := Nat.exists_eq_succ_of_ne_zero hm rw [pow_succ'] apply dvd_mul_of_dvd_left dvd_rfl _ · rw [Multiset.prod_replicate] exact Classical.choose_spec (spec.2 hx) #align discrete_valuation_ring.has_unit_mul_pow_irreducible_factorization.to_unique_factorization_monoid DiscreteValuationRing.HasUnitMulPowIrreducibleFactorization.toUniqueFactorizationMonoid
Mathlib/RingTheory/DiscreteValuationRing/Basic.lean
227
245
theorem of_ufd_of_unique_irreducible [UniqueFactorizationMonoid R] (h₁ : ∃ p : R, Irreducible p) (h₂ : ∀ ⦃p q : R⦄, Irreducible p → Irreducible q → Associated p q) : HasUnitMulPowIrreducibleFactorization R := by
obtain ⟨p, hp⟩ := h₁ refine ⟨p, hp, ?_⟩ intro x hx cases' WfDvdMonoid.exists_factors x hx with fx hfx refine ⟨Multiset.card fx, ?_⟩ have H := hfx.2 rw [← Associates.mk_eq_mk_iff_associated] at H ⊢ rw [← H, ← Associates.prod_mk, Associates.mk_pow, ← Multiset.prod_replicate] congr 1 symm rw [Multiset.eq_replicate] simp only [true_and_iff, and_imp, Multiset.card_map, eq_self_iff_true, Multiset.mem_map, exists_imp] rintro _ q hq rfl rw [Associates.mk_eq_mk_iff_associated] apply h₂ (hfx.1 _ hq) hp
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import Mathlib.Algebra.Polynomial.Expand import Mathlib.Algebra.Polynomial.Laurent import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic import Mathlib.LinearAlgebra.Matrix.Reindex import Mathlib.RingTheory.Polynomial.Nilpotent #align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912" noncomputable section -- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with -- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)` universe u v w z open Finset Matrix Polynomial variable {R : Type u} [CommRing R] variable {n G : Type v} [DecidableEq n] [Fintype n] variable {α β : Type v} [DecidableEq α] variable {M : Matrix n n R} namespace Matrix theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) : (charmatrix M i j).natDegree = ite (i = j) 1 0 := by by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)] #align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree theorem charmatrix_apply_natDegree_le (i j : n) : (charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by split_ifs with h <;> simp [h, natDegree_X_le] #align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le variable (M)
Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean
61
78
theorem charpoly_sub_diagonal_degree_lt : (M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by
rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)), sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm] simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one, Units.val_one, add_sub_cancel_right, Equiv.coe_refl] rw [← mem_degreeLT] apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1)) intro c hc; rw [← C_eq_intCast, C_mul'] apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c) rw [mem_degreeLT] apply lt_of_le_of_lt degree_le_natDegree _ rw [Nat.cast_lt] apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc)) apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _ rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum intros apply charmatrix_apply_natDegree_le
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import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.RingTheory.Derivation.Basic #align_import data.mv_polynomial.derivation from "leanprover-community/mathlib"@"b608348ffaeb7f557f2fd46876037abafd326ff3" namespace MvPolynomial noncomputable section variable {σ R A : Type*} [CommSemiring R] [AddCommMonoid A] [Module R A] [Module (MvPolynomial σ R) A] section variable (R) def mkDerivationₗ (f : σ → A) : MvPolynomial σ R →ₗ[R] A := Finsupp.lsum R fun xs : σ →₀ ℕ => (LinearMap.ringLmapEquivSelf R R A).symm <| xs.sum fun i k => monomial (xs - Finsupp.single i 1) (k : R) • f i #align mv_polynomial.mk_derivationₗ MvPolynomial.mkDerivationₗ end theorem mkDerivationₗ_monomial (f : σ → A) (s : σ →₀ ℕ) (r : R) : mkDerivationₗ R f (monomial s r) = r • s.sum fun i k => monomial (s - Finsupp.single i 1) (k : R) • f i := sum_monomial_eq <| LinearMap.map_zero _ #align mv_polynomial.mk_derivationₗ_monomial MvPolynomial.mkDerivationₗ_monomial theorem mkDerivationₗ_C (f : σ → A) (r : R) : mkDerivationₗ R f (C r) = 0 := (mkDerivationₗ_monomial f _ _).trans (smul_zero _) set_option linter.uppercaseLean3 false in #align mv_polynomial.mk_derivationₗ_C MvPolynomial.mkDerivationₗ_C theorem mkDerivationₗ_X (f : σ → A) (i : σ) : mkDerivationₗ R f (X i) = f i := (mkDerivationₗ_monomial f _ _).trans <| by simp set_option linter.uppercaseLean3 false in #align mv_polynomial.mk_derivationₗ_X MvPolynomial.mkDerivationₗ_X @[simp] theorem derivation_C (D : Derivation R (MvPolynomial σ R) A) (a : R) : D (C a) = 0 := D.map_algebraMap a set_option linter.uppercaseLean3 false in #align mv_polynomial.derivation_C MvPolynomial.derivation_C @[simp] theorem derivation_C_mul (D : Derivation R (MvPolynomial σ R) A) (a : R) (f : MvPolynomial σ R) : C (σ := σ) a • D f = a • D f := by have : C (σ := σ) a • D f = D (C a * f) := by simp rw [this, C_mul', D.map_smul] theorem derivation_eqOn_supported {D₁ D₂ : Derivation R (MvPolynomial σ R) A} {s : Set σ} (h : Set.EqOn (D₁ ∘ X) (D₂ ∘ X) s) {f : MvPolynomial σ R} (hf : f ∈ supported R s) : D₁ f = D₂ f := Derivation.eqOn_adjoin (Set.forall_mem_image.2 h) hf #align mv_polynomial.derivation_eq_on_supported MvPolynomial.derivation_eqOn_supported theorem derivation_eq_of_forall_mem_vars {D₁ D₂ : Derivation R (MvPolynomial σ R) A} {f : MvPolynomial σ R} (h : ∀ i ∈ f.vars, D₁ (X i) = D₂ (X i)) : D₁ f = D₂ f := derivation_eqOn_supported h f.mem_supported_vars #align mv_polynomial.derivation_eq_of_forall_mem_vars MvPolynomial.derivation_eq_of_forall_mem_vars theorem derivation_eq_zero_of_forall_mem_vars {D : Derivation R (MvPolynomial σ R) A} {f : MvPolynomial σ R} (h : ∀ i ∈ f.vars, D (X i) = 0) : D f = 0 := show D f = (0 : Derivation R (MvPolynomial σ R) A) f from derivation_eq_of_forall_mem_vars h #align mv_polynomial.derivation_eq_zero_of_forall_mem_vars MvPolynomial.derivation_eq_zero_of_forall_mem_vars @[ext] theorem derivation_ext {D₁ D₂ : Derivation R (MvPolynomial σ R) A} (h : ∀ i, D₁ (X i) = D₂ (X i)) : D₁ = D₂ := Derivation.ext fun _ => derivation_eq_of_forall_mem_vars fun i _ => h i #align mv_polynomial.derivation_ext MvPolynomial.derivation_ext variable [IsScalarTower R (MvPolynomial σ R) A]
Mathlib/Algebra/MvPolynomial/Derivation.lean
96
114
theorem leibniz_iff_X (D : MvPolynomial σ R →ₗ[R] A) (h₁ : D 1 = 0) : (∀ p q, D (p * q) = p • D q + q • D p) ↔ ∀ s i, D (monomial s 1 * X i) = (monomial s 1 : MvPolynomial σ R) • D (X i) + (X i : MvPolynomial σ R) • D (monomial s 1) := by
refine ⟨fun H p i => H _ _, fun H => ?_⟩ have hC : ∀ r, D (C r) = 0 := by intro r; rw [C_eq_smul_one, D.map_smul, h₁, smul_zero] have : ∀ p i, D (p * X i) = p • D (X i) + (X i : MvPolynomial σ R) • D p := by intro p i induction' p using MvPolynomial.induction_on' with s r p q hp hq · rw [← mul_one r, ← C_mul_monomial, mul_assoc, C_mul', D.map_smul, H, C_mul', smul_assoc, smul_add, D.map_smul, smul_comm r (X i)] · rw [add_mul, map_add, map_add, hp, hq, add_smul, smul_add, add_add_add_comm] intro p q induction q using MvPolynomial.induction_on with | h_C c => rw [mul_comm, C_mul', hC, smul_zero, zero_add, D.map_smul, C_eq_smul_one, smul_one_smul] | h_add q₁ q₂ h₁ h₂ => simp only [mul_add, map_add, h₁, h₂, smul_add, add_smul]; abel | h_X q i hq => simp only [this, ← mul_assoc, hq, mul_smul, smul_add, add_assoc] rw [smul_comm (X i), smul_comm (X i)]
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import Mathlib.Algebra.Polynomial.DenomsClearable import Mathlib.Analysis.Calculus.MeanValue import Mathlib.Analysis.Calculus.Deriv.Polynomial import Mathlib.Data.Real.Irrational import Mathlib.Topology.Algebra.Polynomial #align_import number_theory.liouville.basic from "leanprover-community/mathlib"@"04e80bb7e8510958cd9aacd32fe2dc147af0b9f1" def Liouville (x : ℝ) := ∀ n : ℕ, ∃ a b : ℤ, 1 < b ∧ x ≠ a / b ∧ |x - a / b| < 1 / (b : ℝ) ^ n #align liouville Liouville namespace Liouville protected theorem irrational {x : ℝ} (h : Liouville x) : Irrational x := by -- By contradiction, `x = a / b`, with `a ∈ ℤ`, `0 < b ∈ ℕ` is a Liouville number, rintro ⟨⟨a, b, bN0, cop⟩, rfl⟩ -- clear up the mess of constructions of rationals rw [Rat.cast_mk'] at h -- Since `a / b` is a Liouville number, there are `p, q ∈ ℤ`, with `q1 : 1 < q`,∈ -- `a0 : a / b ≠ p / q` and `a1 : |a / b - p / q| < 1 / q ^ (b + 1)` rcases h (b + 1) with ⟨p, q, q1, a0, a1⟩ -- A few useful inequalities have qR0 : (0 : ℝ) < q := Int.cast_pos.mpr (zero_lt_one.trans q1) have b0 : (b : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr bN0 have bq0 : (0 : ℝ) < b * q := mul_pos (Nat.cast_pos.mpr bN0.bot_lt) qR0 -- At a1, clear denominators... replace a1 : |a * q - b * p| * q ^ (b + 1) < b * q := by rw [div_sub_div _ _ b0 qR0.ne', abs_div, div_lt_div_iff (abs_pos.mpr bq0.ne') (pow_pos qR0 _), abs_of_pos bq0, one_mul] at a1 exact mod_cast a1 -- At a0, clear denominators... replace a0 : a * q - ↑b * p ≠ 0 := by rw [Ne, div_eq_div_iff b0 qR0.ne', mul_comm (p : ℝ), ← sub_eq_zero] at a0 exact mod_cast a0 -- Actually, `q` is a natural number lift q to ℕ using (zero_lt_one.trans q1).le -- Looks innocuous, but we now have an integer with non-zero absolute value: this is at -- least one away from zero. The gain here is what gets the proof going. have ap : 0 < |a * ↑q - ↑b * p| := abs_pos.mpr a0 -- Actually, the absolute value of an integer is a natural number -- FIXME: This `lift` call duplicates the hypotheses `a1` and `ap` lift |a * ↑q - ↑b * p| to ℕ using abs_nonneg (a * ↑q - ↑b * p) with e he norm_cast at a1 ap q1 -- Recall this is by contradiction: we obtained the inequality `b * q ≤ x * q ^ (b + 1)`, so -- we are done. exact not_le.mpr a1 (Nat.mul_lt_mul_pow_succ ap q1).le #align liouville.irrational Liouville.irrational open Polynomial Metric Set Real RingHom open scoped Polynomial
Mathlib/NumberTheory/Liouville/Basic.lean
95
120
theorem exists_one_le_pow_mul_dist {Z N R : Type*} [PseudoMetricSpace R] {d : N → ℝ} {j : Z → N → R} {f : R → R} {α : R} {ε M : ℝ} -- denominators are positive (d0 : ∀ a : N, 1 ≤ d a) (e0 : 0 < ε) -- function is Lipschitz at α (B : ∀ ⦃y : R⦄, y ∈ closedBall α ε → dist (f α) (f y) ≤ dist α y * M) -- clear denominators (L : ∀ ⦃z : Z⦄, ∀ ⦃a : N⦄, j z a ∈ closedBall α ε → 1 ≤ d a * dist (f α) (f (j z a))) : ∃ A : ℝ, 0 < A ∧ ∀ z : Z, ∀ a : N, 1 ≤ d a * (dist α (j z a) * A) := by
-- A useful inequality to keep at hand have me0 : 0 < max (1 / ε) M := lt_max_iff.mpr (Or.inl (one_div_pos.mpr e0)) -- The maximum between `1 / ε` and `M` works refine ⟨max (1 / ε) M, me0, fun z a => ?_⟩ -- First, let's deal with the easy case in which we are far away from `α` by_cases dm1 : 1 ≤ dist α (j z a) * max (1 / ε) M · exact one_le_mul_of_one_le_of_one_le (d0 a) dm1 · -- `j z a = z / (a + 1)`: we prove that this ratio is close to `α` have : j z a ∈ closedBall α ε := by refine mem_closedBall'.mp (le_trans ?_ ((one_div_le me0 e0).mpr (le_max_left _ _))) exact (le_div_iff me0).mpr (not_le.mp dm1).le -- use the "separation from `1`" (assumption `L`) for numerators, refine (L this).trans ?_ -- remove a common factor and use the Lipschitz assumption `B` refine mul_le_mul_of_nonneg_left ((B this).trans ?_) (zero_le_one.trans (d0 a)) exact mul_le_mul_of_nonneg_left (le_max_right _ M) dist_nonneg
16
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _ #align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a => f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹ #align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} : f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top] #align ennreal.fun_eq_fun_mul_inv_snorm_mul_snorm ENNReal.fun_eq_funMulInvSnorm_mul_snorm theorem funMulInvSnorm_rpow {p : ℝ} (hp0 : 0 < p) {f : α → ℝ≥0∞} {a : α} : funMulInvSnorm f p μ a ^ p = f a ^ p * (∫⁻ c, f c ^ p ∂μ)⁻¹ := by rw [funMulInvSnorm, mul_rpow_of_nonneg _ _ (le_of_lt hp0)] suffices h_inv_rpow : ((∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p))⁻¹ ^ p = (∫⁻ c : α, f c ^ p ∂μ)⁻¹ by rw [h_inv_rpow] rw [inv_rpow, ← rpow_mul, one_div_mul_cancel hp0.ne', rpow_one] #align ennreal.fun_mul_inv_snorm_rpow ENNReal.funMulInvSnorm_rpow theorem lintegral_rpow_funMulInvSnorm_eq_one {p : ℝ} (hp0_lt : 0 < p) {f : α → ℝ≥0∞} (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) : ∫⁻ c, funMulInvSnorm f p μ c ^ p ∂μ = 1 := by simp_rw [funMulInvSnorm_rpow hp0_lt] rw [lintegral_mul_const', ENNReal.mul_inv_cancel hf_nonzero hf_top] rwa [inv_ne_top] #align ennreal.lintegral_rpow_fun_mul_inv_snorm_eq_one ENNReal.lintegral_rpow_funMulInvSnorm_eq_one
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
110
130
theorem lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_nontop : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) (hg_nontop : (∫⁻ a, g a ^ q ∂μ) ≠ ⊤) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hg_nonzero : (∫⁻ a, g a ^ q ∂μ) ≠ 0) : (∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by
let npf := (∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p) let nqg := (∫⁻ c : α, g c ^ q ∂μ) ^ (1 / q) calc (∫⁻ a : α, (f * g) a ∂μ) = ∫⁻ a : α, (funMulInvSnorm f p μ * funMulInvSnorm g q μ) a * (npf * nqg) ∂μ := by refine lintegral_congr fun a => ?_ rw [Pi.mul_apply, fun_eq_funMulInvSnorm_mul_snorm f hf_nonzero hf_nontop, fun_eq_funMulInvSnorm_mul_snorm g hg_nonzero hg_nontop, Pi.mul_apply] ring _ ≤ npf * nqg := by rw [lintegral_mul_const' (npf * nqg) _ (by simp [npf, nqg, hf_nontop, hg_nontop, hf_nonzero, hg_nonzero, ENNReal.mul_eq_top])] refine mul_le_of_le_one_left' ?_ have hf1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.pos hf_nonzero hf_nontop have hg1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.symm.pos hg_nonzero hg_nontop exact lintegral_mul_le_one_of_lintegral_rpow_eq_one hpq (hf.mul_const _) hf1 hg1
16
import Mathlib.Data.List.Basic import Mathlib.Order.MinMax import Mathlib.Order.WithBot #align_import data.list.min_max from "leanprover-community/mathlib"@"6d0adfa76594f304b4650d098273d4366edeb61b" namespace List variable {α β : Type*} section ArgAux variable (r : α → α → Prop) [DecidableRel r] {l : List α} {o : Option α} {a m : α} def argAux (a : Option α) (b : α) : Option α := Option.casesOn a (some b) fun c => if r b c then some b else some c #align list.arg_aux List.argAux @[simp] theorem foldl_argAux_eq_none : l.foldl (argAux r) o = none ↔ l = [] ∧ o = none := List.reverseRecOn l (by simp) fun tl hd => by simp only [foldl_append, foldl_cons, argAux, foldl_nil, append_eq_nil, and_false, false_and, iff_false]; cases foldl (argAux r) o tl <;> simp; try split_ifs <;> simp #align list.foldl_arg_aux_eq_none List.foldl_argAux_eq_none private theorem foldl_argAux_mem (l) : ∀ a m : α, m ∈ foldl (argAux r) (some a) l → m ∈ a :: l := List.reverseRecOn l (by simp [eq_comm]) (by intro tl hd ih a m simp only [foldl_append, foldl_cons, foldl_nil, argAux] cases hf : foldl (argAux r) (some a) tl · simp (config := { contextual := true }) · dsimp only split_ifs · simp (config := { contextual := true }) · -- `finish [ih _ _ hf]` closes this goal simp only [List.mem_cons] at ih rcases ih _ _ hf with rfl | H · simp (config := { contextual := true }) only [Option.mem_def, Option.some.injEq, find?, eq_comm, mem_cons, mem_append, mem_singleton, true_or, implies_true] · simp (config := { contextual := true }) [@eq_comm _ _ m, H]) @[simp] theorem argAux_self (hr₀ : Irreflexive r) (a : α) : argAux r (some a) a = a := if_neg <| hr₀ _ #align list.arg_aux_self List.argAux_self
Mathlib/Data/List/MinMax.lean
69
86
theorem not_of_mem_foldl_argAux (hr₀ : Irreflexive r) (hr₁ : Transitive r) : ∀ {a m : α} {o : Option α}, a ∈ l → m ∈ foldl (argAux r) o l → ¬r a m := by
induction' l using List.reverseRecOn with tl a ih · simp intro b m o hb ho rw [foldl_append, foldl_cons, foldl_nil, argAux] at ho cases' hf : foldl (argAux r) o tl with c · rw [hf] at ho rw [foldl_argAux_eq_none] at hf simp_all [hf.1, hf.2, hr₀ _] rw [hf, Option.mem_def] at ho dsimp only at ho split_ifs at ho with hac <;> cases' mem_append.1 hb with h h <;> injection ho with ho <;> subst ho · exact fun hba => ih h hf (hr₁ hba hac) · simp_all [hr₀ _] · exact ih h hf · simp_all
16
import Mathlib.NumberTheory.ZetaValues import Mathlib.NumberTheory.LSeries.RiemannZeta open Complex Real Set open scoped Nat namespace HurwitzZeta variable {k : ℕ} {x : ℝ}
Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean
49
67
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
16
import Mathlib.Analysis.NormedSpace.Basic import Mathlib.Topology.Algebra.Module.Basic #align_import analysis.normed_space.basic from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Metric Set Function Filter open scoped NNReal Topology instance Real.punctured_nhds_module_neBot {E : Type*} [AddCommGroup E] [TopologicalSpace E] [ContinuousAdd E] [Nontrivial E] [Module ℝ E] [ContinuousSMul ℝ E] (x : E) : NeBot (𝓝[≠] x) := Module.punctured_nhds_neBot ℝ E x #align real.punctured_nhds_module_ne_bot Real.punctured_nhds_module_neBot section Seminormed variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℝ E] theorem inv_norm_smul_mem_closed_unit_ball (x : E) : ‖x‖⁻¹ • x ∈ closedBall (0 : E) 1 := by simp only [mem_closedBall_zero_iff, norm_smul, norm_inv, norm_norm, ← div_eq_inv_mul, div_self_le_one] #align inv_norm_smul_mem_closed_unit_ball inv_norm_smul_mem_closed_unit_ball theorem norm_smul_of_nonneg {t : ℝ} (ht : 0 ≤ t) (x : E) : ‖t • x‖ = t * ‖x‖ := by rw [norm_smul, Real.norm_eq_abs, abs_of_nonneg ht] #align norm_smul_of_nonneg norm_smul_of_nonneg theorem dist_smul_add_one_sub_smul_le {r : ℝ} {x y : E} (h : r ∈ Icc 0 1) : dist (r • x + (1 - r) • y) x ≤ dist y x := calc dist (r • x + (1 - r) • y) x = ‖1 - r‖ * ‖x - y‖ := by simp_rw [dist_eq_norm', ← norm_smul, sub_smul, one_smul, smul_sub, ← sub_sub, ← sub_add, sub_right_comm] _ = (1 - r) * dist y x := by rw [Real.norm_eq_abs, abs_eq_self.mpr (sub_nonneg.mpr h.2), dist_eq_norm'] _ ≤ (1 - 0) * dist y x := by gcongr; exact h.1 _ = dist y x := by rw [sub_zero, one_mul] theorem closure_ball (x : E) {r : ℝ} (hr : r ≠ 0) : closure (ball x r) = closedBall x r := by refine Subset.antisymm closure_ball_subset_closedBall fun y hy => ?_ have : ContinuousWithinAt (fun c : ℝ => c • (y - x) + x) (Ico 0 1) 1 := ((continuous_id.smul continuous_const).add continuous_const).continuousWithinAt convert this.mem_closure _ _ · rw [one_smul, sub_add_cancel] · simp [closure_Ico zero_ne_one, zero_le_one] · rintro c ⟨hc0, hc1⟩ rw [mem_ball, dist_eq_norm, add_sub_cancel_right, norm_smul, Real.norm_eq_abs, abs_of_nonneg hc0, mul_comm, ← mul_one r] rw [mem_closedBall, dist_eq_norm] at hy replace hr : 0 < r := ((norm_nonneg _).trans hy).lt_of_ne hr.symm apply mul_lt_mul' <;> assumption #align closure_ball closure_ball theorem frontier_ball (x : E) {r : ℝ} (hr : r ≠ 0) : frontier (ball x r) = sphere x r := by rw [frontier, closure_ball x hr, isOpen_ball.interior_eq, closedBall_diff_ball] #align frontier_ball frontier_ball
Mathlib/Analysis/NormedSpace/Real.lean
81
98
theorem interior_closedBall (x : E) {r : ℝ} (hr : r ≠ 0) : interior (closedBall x r) = ball x r := by
cases' hr.lt_or_lt with hr hr · rw [closedBall_eq_empty.2 hr, ball_eq_empty.2 hr.le, interior_empty] refine Subset.antisymm ?_ ball_subset_interior_closedBall intro y hy rcases (mem_closedBall.1 <| interior_subset hy).lt_or_eq with (hr | rfl) · exact hr set f : ℝ → E := fun c : ℝ => c • (y - x) + x suffices f ⁻¹' closedBall x (dist y x) ⊆ Icc (-1) 1 by have hfc : Continuous f := (continuous_id.smul continuous_const).add continuous_const have hf1 : (1 : ℝ) ∈ f ⁻¹' interior (closedBall x <| dist y x) := by simpa [f] have h1 : (1 : ℝ) ∈ interior (Icc (-1 : ℝ) 1) := interior_mono this (preimage_interior_subset_interior_preimage hfc hf1) simp at h1 intro c hc rw [mem_Icc, ← abs_le, ← Real.norm_eq_abs, ← mul_le_mul_right hr] simpa [f, dist_eq_norm, norm_smul] using hc
16
import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.RingTheory.LocalProperties #align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 universe u open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop) namespace RingHom variable {P}
Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean
48
70
theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _ (Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _ (X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _ (Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso, ← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r))) (X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff] congr delta IsLocalization.Away.map refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_ generalize_proofs haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r) -- Porting note: needs to be very explicit here convert (@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r)) _ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1 change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _ rw [f.val.c.naturality_assoc] simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp] congr 1
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import Mathlib.LinearAlgebra.TensorProduct.Basic import Mathlib.RingTheory.Finiteness open scoped TensorProduct open Submodule variable {R M N : Type*} variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N] variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N} namespace TensorProduct theorem exists_multiset (x : M ⊗[R] N) : ∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨{(x, y)}, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩ theorem exists_finsupp_left (x : M ⊗[R] N) : ∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by induction x using TensorProduct.induction_on with | zero => exact ⟨0, by simp⟩ | tmul x y => exact ⟨Finsupp.single x y, by simp⟩ | add x y hx hy => obtain ⟨Sx, hx⟩ := hx obtain ⟨Sy, hy⟩ := hy use Sx + Sy rw [hx, hy] exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm theorem exists_finsupp_right (x : M ⊗[R] N) : ∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x) refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩ simp_rw [h, Finsupp.sum, map_sum, comm_tmul] theorem exists_finset (x : M ⊗[R] N) : ∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by obtain ⟨S, h⟩ := exists_finsupp_left x use S.graph rw [h, Finsupp.sum] apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean
98
116
theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) : ∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧ s ⊆ LinearMap.range (mapIncl M' N') := by
simp_rw [Module.Finite.iff_fg] refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_ rintro a s - - ⟨M', N', hM', hN', h⟩ refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_ · exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩ · refine ⟨_, _, hM'.sup (fg_span_singleton x), hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩ · exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ ⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩ · exact range_mapIncl_mono le_sup_left le_sup_left (h hz) · obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩ · exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s)) · exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s)) · exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
16
import Mathlib.Algebra.ContinuedFractions.Computation.Approximations import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating import Mathlib.Data.Rat.Floor #align_import algebra.continued_fractions.computation.terminates_iff_rat from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace GeneralizedContinuedFraction open GeneralizedContinuedFraction (of) variable {K : Type*} [LinearOrderedField K] [FloorRing K] attribute [local simp] Pair.map IntFractPair.mapFr section RatTranslation -- The lifting works for arbitrary linear ordered fields with a floor function. variable {v : K} {q : ℚ} (v_eq_q : v = (↑q : K)) (n : ℕ) section TerminatesOfRat namespace IntFractPair variable {q : ℚ} {n : ℕ} theorem of_inv_fr_num_lt_num_of_pos (q_pos : 0 < q) : (IntFractPair.of q⁻¹).fr.num < q.num := Rat.fract_inv_num_lt_num_of_pos q_pos #align generalized_continued_fraction.int_fract_pair.of_inv_fr_num_lt_num_of_pos GeneralizedContinuedFraction.IntFractPair.of_inv_fr_num_lt_num_of_pos theorem stream_succ_nth_fr_num_lt_nth_fr_num_rat {ifp_n ifp_succ_n : IntFractPair ℚ} (stream_nth_eq : IntFractPair.stream q n = some ifp_n) (stream_succ_nth_eq : IntFractPair.stream q (n + 1) = some ifp_succ_n) : ifp_succ_n.fr.num < ifp_n.fr.num := by obtain ⟨ifp_n', stream_nth_eq', ifp_n_fract_ne_zero, IntFractPair.of_eq_ifp_succ_n⟩ : ∃ ifp_n', IntFractPair.stream q n = some ifp_n' ∧ ifp_n'.fr ≠ 0 ∧ IntFractPair.of ifp_n'.fr⁻¹ = ifp_succ_n := succ_nth_stream_eq_some_iff.mp stream_succ_nth_eq have : ifp_n = ifp_n' := by injection Eq.trans stream_nth_eq.symm stream_nth_eq' cases this rw [← IntFractPair.of_eq_ifp_succ_n] cases' nth_stream_fr_nonneg_lt_one stream_nth_eq with zero_le_ifp_n_fract ifp_n_fract_lt_one have : 0 < ifp_n.fr := lt_of_le_of_ne zero_le_ifp_n_fract <| ifp_n_fract_ne_zero.symm exact of_inv_fr_num_lt_num_of_pos this #align generalized_continued_fraction.int_fract_pair.stream_succ_nth_fr_num_lt_nth_fr_num_rat GeneralizedContinuedFraction.IntFractPair.stream_succ_nth_fr_num_lt_nth_fr_num_rat theorem stream_nth_fr_num_le_fr_num_sub_n_rat : ∀ {ifp_n : IntFractPair ℚ}, IntFractPair.stream q n = some ifp_n → ifp_n.fr.num ≤ (IntFractPair.of q).fr.num - n := by induction n with | zero => intro ifp_zero stream_zero_eq have : IntFractPair.of q = ifp_zero := by injection stream_zero_eq simp [le_refl, this.symm] | succ n IH => intro ifp_succ_n stream_succ_nth_eq suffices ifp_succ_n.fr.num + 1 ≤ (IntFractPair.of q).fr.num - n by rw [Int.ofNat_succ, sub_add_eq_sub_sub] solve_by_elim [le_sub_right_of_add_le] rcases succ_nth_stream_eq_some_iff.mp stream_succ_nth_eq with ⟨ifp_n, stream_nth_eq, -⟩ have : ifp_succ_n.fr.num < ifp_n.fr.num := stream_succ_nth_fr_num_lt_nth_fr_num_rat stream_nth_eq stream_succ_nth_eq have : ifp_succ_n.fr.num + 1 ≤ ifp_n.fr.num := Int.add_one_le_of_lt this exact le_trans this (IH stream_nth_eq) #align generalized_continued_fraction.int_fract_pair.stream_nth_fr_num_le_fr_num_sub_n_rat GeneralizedContinuedFraction.IntFractPair.stream_nth_fr_num_le_fr_num_sub_n_rat
Mathlib/Algebra/ContinuedFractions/Computation/TerminatesIffRat.lean
315
331
theorem exists_nth_stream_eq_none_of_rat (q : ℚ) : ∃ n : ℕ, IntFractPair.stream q n = none := by
let fract_q_num := (Int.fract q).num; let n := fract_q_num.natAbs + 1 cases' stream_nth_eq : IntFractPair.stream q n with ifp · use n, stream_nth_eq · -- arrive at a contradiction since the numerator decreased num + 1 times but every fractional -- value is nonnegative. have ifp_fr_num_le_q_fr_num_sub_n : ifp.fr.num ≤ fract_q_num - n := stream_nth_fr_num_le_fr_num_sub_n_rat stream_nth_eq have : fract_q_num - n = -1 := by have : 0 ≤ fract_q_num := Rat.num_nonneg.mpr (Int.fract_nonneg q) -- Porting note: was -- simp [Int.natAbs_of_nonneg this, sub_add_eq_sub_sub_swap, sub_right_comm] simp only [n, Nat.cast_add, Int.natAbs_of_nonneg this, Nat.cast_one, sub_add_eq_sub_sub_swap, sub_right_comm, sub_self, zero_sub] have : 0 ≤ ifp.fr := (nth_stream_fr_nonneg_lt_one stream_nth_eq).left have : 0 ≤ ifp.fr.num := Rat.num_nonneg.mpr this omega
16
import Mathlib.Topology.VectorBundle.Basic #align_import topology.vector_bundle.hom from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95" noncomputable section open scoped Bundle open Bundle Set ContinuousLinearMap variable {𝕜₁ : Type*} [NontriviallyNormedField 𝕜₁] {𝕜₂ : Type*} [NontriviallyNormedField 𝕜₂] (σ : 𝕜₁ →+* 𝕜₂) [iσ : RingHomIsometric σ] variable {B : Type*} variable {F₁ : Type*} [NormedAddCommGroup F₁] [NormedSpace 𝕜₁ F₁] (E₁ : B → Type*) [∀ x, AddCommGroup (E₁ x)] [∀ x, Module 𝕜₁ (E₁ x)] [TopologicalSpace (TotalSpace F₁ E₁)] variable {F₂ : Type*} [NormedAddCommGroup F₂] [NormedSpace 𝕜₂ F₂] (E₂ : B → Type*) [∀ x, AddCommGroup (E₂ x)] [∀ x, Module 𝕜₂ (E₂ x)] [TopologicalSpace (TotalSpace F₂ E₂)] protected abbrev Bundle.ContinuousLinearMap [∀ x, TopologicalSpace (E₁ x)] [∀ x, TopologicalSpace (E₂ x)] : B → Type _ := fun x => E₁ x →SL[σ] E₂ x #align bundle.continuous_linear_map Bundle.ContinuousLinearMap -- Porting note: possibly remove after the port instance Bundle.ContinuousLinearMap.module [∀ x, TopologicalSpace (E₁ x)] [∀ x, TopologicalSpace (E₂ x)] [∀ x, TopologicalAddGroup (E₂ x)] [∀ x, ContinuousConstSMul 𝕜₂ (E₂ x)] : ∀ x, Module 𝕜₂ (Bundle.ContinuousLinearMap σ E₁ E₂ x) := fun _ => inferInstance #align bundle.continuous_linear_map.module Bundle.ContinuousLinearMap.module variable {E₁ E₂} variable [TopologicalSpace B] (e₁ e₁' : Trivialization F₁ (π F₁ E₁)) (e₂ e₂' : Trivialization F₂ (π F₂ E₂)) namespace Pretrivialization def continuousLinearMapCoordChange [e₁.IsLinear 𝕜₁] [e₁'.IsLinear 𝕜₁] [e₂.IsLinear 𝕜₂] [e₂'.IsLinear 𝕜₂] (b : B) : (F₁ →SL[σ] F₂) →L[𝕜₂] F₁ →SL[σ] F₂ := ((e₁'.coordChangeL 𝕜₁ e₁ b).symm.arrowCongrSL (e₂.coordChangeL 𝕜₂ e₂' b) : (F₁ →SL[σ] F₂) ≃L[𝕜₂] F₁ →SL[σ] F₂) #align pretrivialization.continuous_linear_map_coord_change Pretrivialization.continuousLinearMapCoordChange variable {σ e₁ e₁' e₂ e₂'} variable [∀ x, TopologicalSpace (E₁ x)] [FiberBundle F₁ E₁] variable [∀ x, TopologicalSpace (E₂ x)] [ita : ∀ x, TopologicalAddGroup (E₂ x)] [FiberBundle F₂ E₂]
Mathlib/Topology/VectorBundle/Hom.lean
92
112
theorem continuousOn_continuousLinearMapCoordChange [VectorBundle 𝕜₁ F₁ E₁] [VectorBundle 𝕜₂ F₂ E₂] [MemTrivializationAtlas e₁] [MemTrivializationAtlas e₁'] [MemTrivializationAtlas e₂] [MemTrivializationAtlas e₂'] : ContinuousOn (continuousLinearMapCoordChange σ e₁ e₁' e₂ e₂') (e₁.baseSet ∩ e₂.baseSet ∩ (e₁'.baseSet ∩ e₂'.baseSet)) := by
have h₁ := (compSL F₁ F₂ F₂ σ (RingHom.id 𝕜₂)).continuous have h₂ := (ContinuousLinearMap.flip (compSL F₁ F₁ F₂ (RingHom.id 𝕜₁) σ)).continuous have h₃ := continuousOn_coordChange 𝕜₁ e₁' e₁ have h₄ := continuousOn_coordChange 𝕜₂ e₂ e₂' refine ((h₁.comp_continuousOn (h₄.mono ?_)).clm_comp (h₂.comp_continuousOn (h₃.mono ?_))).congr ?_ · mfld_set_tac · mfld_set_tac · intro b _; ext L v -- Porting note: was -- simp only [continuousLinearMapCoordChange, ContinuousLinearEquiv.coe_coe, -- ContinuousLinearEquiv.arrowCongrₛₗ_apply, LinearEquiv.toFun_eq_coe, coe_comp', -- ContinuousLinearEquiv.arrowCongrSL_apply, comp_apply, Function.comp, compSL_apply, -- flip_apply, ContinuousLinearEquiv.symm_symm] -- Now `simp` fails to use `ContinuousLinearMap.comp_apply` in this case dsimp [continuousLinearMapCoordChange] rw [ContinuousLinearEquiv.symm_symm]
16
import Mathlib.NumberTheory.FLT.Basic import Mathlib.NumberTheory.PythagoreanTriples import Mathlib.RingTheory.Coprime.Lemmas import Mathlib.Tactic.LinearCombination #align_import number_theory.fermat4 from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" noncomputable section open scoped Classical def Fermat42 (a b c : ℤ) : Prop := a ≠ 0 ∧ b ≠ 0 ∧ a ^ 4 + b ^ 4 = c ^ 2 #align fermat_42 Fermat42 namespace Fermat42 theorem comm {a b c : ℤ} : Fermat42 a b c ↔ Fermat42 b a c := by delta Fermat42 rw [add_comm] tauto #align fermat_42.comm Fermat42.comm theorem mul {a b c k : ℤ} (hk0 : k ≠ 0) : Fermat42 a b c ↔ Fermat42 (k * a) (k * b) (k ^ 2 * c) := by delta Fermat42 constructor · intro f42 constructor · exact mul_ne_zero hk0 f42.1 constructor · exact mul_ne_zero hk0 f42.2.1 · have H : a ^ 4 + b ^ 4 = c ^ 2 := f42.2.2 linear_combination k ^ 4 * H · intro f42 constructor · exact right_ne_zero_of_mul f42.1 constructor · exact right_ne_zero_of_mul f42.2.1 apply (mul_right_inj' (pow_ne_zero 4 hk0)).mp linear_combination f42.2.2 #align fermat_42.mul Fermat42.mul theorem ne_zero {a b c : ℤ} (h : Fermat42 a b c) : c ≠ 0 := by apply ne_zero_pow two_ne_zero _; apply ne_of_gt rw [← h.2.2, (by ring : a ^ 4 + b ^ 4 = (a ^ 2) ^ 2 + (b ^ 2) ^ 2)] exact add_pos (sq_pos_of_ne_zero (pow_ne_zero 2 h.1)) (sq_pos_of_ne_zero (pow_ne_zero 2 h.2.1)) #align fermat_42.ne_zero Fermat42.ne_zero def Minimal (a b c : ℤ) : Prop := Fermat42 a b c ∧ ∀ a1 b1 c1 : ℤ, Fermat42 a1 b1 c1 → Int.natAbs c ≤ Int.natAbs c1 #align fermat_42.minimal Fermat42.Minimal theorem exists_minimal {a b c : ℤ} (h : Fermat42 a b c) : ∃ a0 b0 c0, Minimal a0 b0 c0 := by let S : Set ℕ := { n | ∃ s : ℤ × ℤ × ℤ, Fermat42 s.1 s.2.1 s.2.2 ∧ n = Int.natAbs s.2.2 } have S_nonempty : S.Nonempty := by use Int.natAbs c rw [Set.mem_setOf_eq] use ⟨a, ⟨b, c⟩⟩ let m : ℕ := Nat.find S_nonempty have m_mem : m ∈ S := Nat.find_spec S_nonempty rcases m_mem with ⟨s0, hs0, hs1⟩ use s0.1, s0.2.1, s0.2.2, hs0 intro a1 b1 c1 h1 rw [← hs1] apply Nat.find_min' use ⟨a1, ⟨b1, c1⟩⟩ #align fermat_42.exists_minimal Fermat42.exists_minimal
Mathlib/NumberTheory/FLT/Four.lean
89
105
theorem coprime_of_minimal {a b c : ℤ} (h : Minimal a b c) : IsCoprime a b := by
apply Int.gcd_eq_one_iff_coprime.mp by_contra hab obtain ⟨p, hp, hpa, hpb⟩ := Nat.Prime.not_coprime_iff_dvd.mp hab obtain ⟨a1, rfl⟩ := Int.natCast_dvd.mpr hpa obtain ⟨b1, rfl⟩ := Int.natCast_dvd.mpr hpb have hpc : (p : ℤ) ^ 2 ∣ c := by rw [← Int.pow_dvd_pow_iff two_ne_zero, ← h.1.2.2] apply Dvd.intro (a1 ^ 4 + b1 ^ 4) ring obtain ⟨c1, rfl⟩ := hpc have hf : Fermat42 a1 b1 c1 := (Fermat42.mul (Int.natCast_ne_zero.mpr (Nat.Prime.ne_zero hp))).mpr h.1 apply Nat.le_lt_asymm (h.2 _ _ _ hf) rw [Int.natAbs_mul, lt_mul_iff_one_lt_left, Int.natAbs_pow, Int.natAbs_ofNat] · exact Nat.one_lt_pow two_ne_zero (Nat.Prime.one_lt hp) · exact Nat.pos_of_ne_zero (Int.natAbs_ne_zero.2 (ne_zero hf))
16
import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.SpecialFunctions.Gamma.Basic open Real Set MeasureTheory MeasureTheory.Measure section real theorem integral_rpow_mul_exp_neg_rpow {p q : ℝ} (hp : 0 < p) (hq : - 1 < q) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- x ^ p) = (1 / p) * Gamma ((q + 1) / p) := by calc _ = ∫ (x : ℝ) in Ioi 0, (1 / p * x ^ (1 / p - 1)) • ((x ^ (1 / p)) ^ q * exp (-x)) := by rw [← integral_comp_rpow_Ioi _ (one_div_ne_zero (ne_of_gt hp)), abs_eq_self.mpr (le_of_lt (one_div_pos.mpr hp))] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx) _ p, one_div_mul_cancel (ne_of_gt hp), rpow_one] _ = ∫ (x : ℝ) in Ioi 0, 1 / p * exp (-x) * x ^ (1 / p - 1 + q / p) := by simp_rw [smul_eq_mul, mul_assoc] refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [← rpow_mul (le_of_lt hx), div_mul_eq_mul_div, one_mul, rpow_add hx] ring_nf _ = (1 / p) * Gamma ((q + 1) / p) := by rw [Gamma_eq_integral (div_pos (neg_lt_iff_pos_add.mp hq) hp)] simp_rw [show 1 / p - 1 + q / p = (q + 1) / p - 1 by field_simp; ring, ← integral_mul_left, ← mul_assoc]
Mathlib/MeasureTheory/Integral/Gamma.lean
39
57
theorem integral_rpow_mul_exp_neg_mul_rpow {p q b : ℝ} (hp : 0 < p) (hq : - 1 < q) (hb : 0 < b) : ∫ x in Ioi (0:ℝ), x ^ q * exp (- b * x ^ p) = b ^ (-(q + 1) / p) * (1 / p) * Gamma ((q + 1) / p) := by
calc _ = ∫ x in Ioi (0:ℝ), b ^ (-p⁻¹ * q) * ((b ^ p⁻¹ * x) ^ q * rexp (-(b ^ p⁻¹ * x) ^ p)) := by refine setIntegral_congr measurableSet_Ioi (fun _ hx => ?_) rw [mul_rpow _ (le_of_lt hx), mul_rpow _ (le_of_lt hx), ← rpow_mul, ← rpow_mul, inv_mul_cancel, rpow_one, mul_assoc, ← mul_assoc, ← rpow_add, neg_mul p⁻¹, add_left_neg, rpow_zero, one_mul, neg_mul] all_goals positivity _ = (b ^ p⁻¹)⁻¹ * ∫ x in Ioi (0:ℝ), b ^ (-p⁻¹ * q) * (x ^ q * rexp (-x ^ p)) := by rw [integral_comp_mul_left_Ioi (fun x => b ^ (-p⁻¹ * q) * (x ^ q * exp (- x ^ p))) 0, mul_zero, smul_eq_mul] all_goals positivity _ = b ^ (-(q + 1) / p) * (1 / p) * Gamma ((q + 1) / p) := by rw [integral_mul_left, integral_rpow_mul_exp_neg_rpow _ hq, mul_assoc, ← mul_assoc, ← rpow_neg_one, ← rpow_mul, ← rpow_add] · congr; ring all_goals positivity
16
import Mathlib.Order.Atoms import Mathlib.Order.OrderIsoNat import Mathlib.Order.RelIso.Set import Mathlib.Order.SupClosed import Mathlib.Order.SupIndep import Mathlib.Order.Zorn import Mathlib.Data.Finset.Order import Mathlib.Order.Interval.Set.OrderIso import Mathlib.Data.Finite.Set import Mathlib.Tactic.TFAE #align_import order.compactly_generated from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f" open Set variable {ι : Sort*} {α : Type*} [CompleteLattice α] {f : ι → α} namespace CompleteLattice variable (α) def IsSupClosedCompact : Prop := ∀ (s : Set α) (_ : s.Nonempty), SupClosed s → sSup s ∈ s #align complete_lattice.is_sup_closed_compact CompleteLattice.IsSupClosedCompact def IsSupFiniteCompact : Prop := ∀ s : Set α, ∃ t : Finset α, ↑t ⊆ s ∧ sSup s = t.sup id #align complete_lattice.is_Sup_finite_compact CompleteLattice.IsSupFiniteCompact def IsCompactElement {α : Type*} [CompleteLattice α] (k : α) := ∀ s : Set α, k ≤ sSup s → ∃ t : Finset α, ↑t ⊆ s ∧ k ≤ t.sup id #align complete_lattice.is_compact_element CompleteLattice.IsCompactElement theorem isCompactElement_iff.{u} {α : Type u} [CompleteLattice α] (k : α) : CompleteLattice.IsCompactElement k ↔ ∀ (ι : Type u) (s : ι → α), k ≤ iSup s → ∃ t : Finset ι, k ≤ t.sup s := by classical constructor · intro H ι s hs obtain ⟨t, ht, ht'⟩ := H (Set.range s) hs have : ∀ x : t, ∃ i, s i = x := fun x => ht x.prop choose f hf using this refine ⟨Finset.univ.image f, ht'.trans ?_⟩ rw [Finset.sup_le_iff] intro b hb rw [← show s (f ⟨b, hb⟩) = id b from hf _] exact Finset.le_sup (Finset.mem_image_of_mem f <| Finset.mem_univ (Subtype.mk b hb)) · intro H s hs obtain ⟨t, ht⟩ := H s Subtype.val (by delta iSup rwa [Subtype.range_coe]) refine ⟨t.image Subtype.val, by simp, ht.trans ?_⟩ rw [Finset.sup_le_iff] exact fun x hx => @Finset.le_sup _ _ _ _ _ id _ (Finset.mem_image_of_mem Subtype.val hx) #align complete_lattice.is_compact_element_iff CompleteLattice.isCompactElement_iff theorem isCompactElement_iff_le_of_directed_sSup_le (k : α) : IsCompactElement k ↔ ∀ s : Set α, s.Nonempty → DirectedOn (· ≤ ·) s → k ≤ sSup s → ∃ x : α, x ∈ s ∧ k ≤ x := by classical constructor · intro hk s hne hdir hsup obtain ⟨t, ht⟩ := hk s hsup -- certainly every element of t is below something in s, since ↑t ⊆ s. have t_below_s : ∀ x ∈ t, ∃ y ∈ s, x ≤ y := fun x hxt => ⟨x, ht.left hxt, le_rfl⟩ obtain ⟨x, ⟨hxs, hsupx⟩⟩ := Finset.sup_le_of_le_directed s hne hdir t t_below_s exact ⟨x, ⟨hxs, le_trans ht.right hsupx⟩⟩ · intro hk s hsup -- Consider the set of finite joins of elements of the (plain) set s. let S : Set α := { x | ∃ t : Finset α, ↑t ⊆ s ∧ x = t.sup id } -- S is directed, nonempty, and still has sup above k. have dir_US : DirectedOn (· ≤ ·) S := by rintro x ⟨c, hc⟩ y ⟨d, hd⟩ use x ⊔ y constructor · use c ∪ d constructor · simp only [hc.left, hd.left, Set.union_subset_iff, Finset.coe_union, and_self_iff] · simp only [hc.right, hd.right, Finset.sup_union] simp only [and_self_iff, le_sup_left, le_sup_right] have sup_S : sSup s ≤ sSup S := by apply sSup_le_sSup intro x hx use {x} simpa only [and_true_iff, id, Finset.coe_singleton, eq_self_iff_true, Finset.sup_singleton, Set.singleton_subset_iff] have Sne : S.Nonempty := by suffices ⊥ ∈ S from Set.nonempty_of_mem this use ∅ simp only [Set.empty_subset, Finset.coe_empty, Finset.sup_empty, eq_self_iff_true, and_self_iff] -- Now apply the defn of compact and finish. obtain ⟨j, ⟨hjS, hjk⟩⟩ := hk S Sne dir_US (le_trans hsup sup_S) obtain ⟨t, ⟨htS, htsup⟩⟩ := hjS use t exact ⟨htS, by rwa [← htsup]⟩ #align complete_lattice.is_compact_element_iff_le_of_directed_Sup_le CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le
Mathlib/Order/CompactlyGenerated/Basic.lean
152
169
theorem IsCompactElement.exists_finset_of_le_iSup {k : α} (hk : IsCompactElement k) {ι : Type*} (f : ι → α) (h : k ≤ ⨆ i, f i) : ∃ s : Finset ι, k ≤ ⨆ i ∈ s, f i := by
classical let g : Finset ι → α := fun s => ⨆ i ∈ s, f i have h1 : DirectedOn (· ≤ ·) (Set.range g) := by rintro - ⟨s, rfl⟩ - ⟨t, rfl⟩ exact ⟨g (s ∪ t), ⟨s ∪ t, rfl⟩, iSup_le_iSup_of_subset Finset.subset_union_left, iSup_le_iSup_of_subset Finset.subset_union_right⟩ have h2 : k ≤ sSup (Set.range g) := h.trans (iSup_le fun i => le_sSup_of_le ⟨{i}, rfl⟩ (le_iSup_of_le i (le_iSup_of_le (Finset.mem_singleton_self i) le_rfl))) obtain ⟨-, ⟨s, rfl⟩, hs⟩ := (isCompactElement_iff_le_of_directed_sSup_le α k).mp hk (Set.range g) (Set.range_nonempty g) h1 h2 exact ⟨s, hs⟩
16
import Mathlib.CategoryTheory.GlueData import Mathlib.Topology.Category.TopCat.Limits.Pullbacks import Mathlib.Topology.Category.TopCat.Opens import Mathlib.Tactic.Generalize import Mathlib.CategoryTheory.Elementwise #align_import topology.gluing from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" noncomputable section open TopologicalSpace CategoryTheory universe v u open CategoryTheory.Limits namespace TopCat -- porting note (#5171): removed @[nolint has_nonempty_instance] structure GlueData extends GlueData TopCat where f_open : ∀ i j, OpenEmbedding (f i j) f_mono := fun i j => (TopCat.mono_iff_injective _).mpr (f_open i j).toEmbedding.inj set_option linter.uppercaseLean3 false in #align Top.glue_data TopCat.GlueData namespace GlueData variable (D : GlueData.{u}) local notation "𝖣" => D.toGlueData theorem π_surjective : Function.Surjective 𝖣.π := (TopCat.epi_iff_surjective 𝖣.π).mp inferInstance set_option linter.uppercaseLean3 false in #align Top.glue_data.π_surjective TopCat.GlueData.π_surjective theorem isOpen_iff (U : Set 𝖣.glued) : IsOpen U ↔ ∀ i, IsOpen (𝖣.ι i ⁻¹' U) := by delta CategoryTheory.GlueData.ι simp_rw [← Multicoequalizer.ι_sigmaπ 𝖣.diagram] rw [← (homeoOfIso (Multicoequalizer.isoCoequalizer 𝖣.diagram).symm).isOpen_preimage] rw [coequalizer_isOpen_iff] dsimp only [GlueData.diagram_l, GlueData.diagram_left, GlueData.diagram_r, GlueData.diagram_right, parallelPair_obj_one] rw [colimit_isOpen_iff.{_,u}] -- Porting note: changed `.{u}` to `.{_,u}`. fun fact: the proof -- breaks down if this `rw` is merged with the `rw` above. constructor · intro h j; exact h ⟨j⟩ · intro h j; cases j; apply h set_option linter.uppercaseLean3 false in #align Top.glue_data.is_open_iff TopCat.GlueData.isOpen_iff theorem ι_jointly_surjective (x : 𝖣.glued) : ∃ (i : _) (y : D.U i), 𝖣.ι i y = x := 𝖣.ι_jointly_surjective (forget TopCat) x set_option linter.uppercaseLean3 false in #align Top.glue_data.ι_jointly_surjective TopCat.GlueData.ι_jointly_surjective def Rel (a b : Σ i, ((D.U i : TopCat) : Type _)) : Prop := a = b ∨ ∃ x : D.V (a.1, b.1), D.f _ _ x = a.2 ∧ D.f _ _ (D.t _ _ x) = b.2 set_option linter.uppercaseLean3 false in #align Top.glue_data.rel TopCat.GlueData.Rel
Mathlib/Topology/Gluing.lean
132
158
theorem rel_equiv : Equivalence D.Rel := ⟨fun x => Or.inl (refl x), by rintro a b (⟨⟨⟩⟩ | ⟨x, e₁, e₂⟩) exacts [Or.inl rfl, Or.inr ⟨D.t _ _ x, e₂, by erw [← e₁, D.t_inv_apply]⟩], by -- previous line now `erw` after #13170 rintro ⟨i, a⟩ ⟨j, b⟩ ⟨k, c⟩ (⟨⟨⟩⟩ | ⟨x, e₁, e₂⟩) · exact id rintro (⟨⟨⟩⟩ | ⟨y, e₃, e₄⟩) · exact Or.inr ⟨x, e₁, e₂⟩ let z := (pullbackIsoProdSubtype (D.f j i) (D.f j k)).inv ⟨⟨_, _⟩, e₂.trans e₃.symm⟩ have eq₁ : (D.t j i) ((pullback.fst : _ /-(D.f j k)-/ ⟶ D.V (j, i)) z) = x := by
dsimp only [coe_of, z] erw [pullbackIsoProdSubtype_inv_fst_apply, D.t_inv_apply]-- now `erw` after #13170 have eq₂ : (pullback.snd : _ ⟶ D.V _) z = y := pullbackIsoProdSubtype_inv_snd_apply _ _ _ clear_value z right use (pullback.fst : _ ⟶ D.V (i, k)) (D.t' _ _ _ z) dsimp only at * substs eq₁ eq₂ e₁ e₃ e₄ have h₁ : D.t' j i k ≫ pullback.fst ≫ D.f i k = pullback.fst ≫ D.t j i ≫ D.f i j := by rw [← 𝖣.t_fac_assoc]; congr 1; exact pullback.condition have h₂ : D.t' j i k ≫ pullback.fst ≫ D.t i k ≫ D.f k i = pullback.snd ≫ D.t j k ≫ D.f k j := by rw [← 𝖣.t_fac_assoc] apply @Epi.left_cancellation _ _ _ _ (D.t' k j i) rw [𝖣.cocycle_assoc, 𝖣.t_fac_assoc, 𝖣.t_inv_assoc] exact pullback.condition.symm exact ⟨ContinuousMap.congr_fun h₁ z, ContinuousMap.congr_fun h₂ z⟩⟩
16
import Mathlib.Data.Nat.Totient import Mathlib.Data.Nat.Nth import Mathlib.NumberTheory.SmoothNumbers #align_import number_theory.prime_counting from "leanprover-community/mathlib"@"7fdd4f3746cb059edfdb5d52cba98f66fce418c0" namespace Nat open Finset def primeCounting' : ℕ → ℕ := Nat.count Prime #align nat.prime_counting' Nat.primeCounting' def primeCounting (n : ℕ) : ℕ := primeCounting' (n + 1) #align nat.prime_counting Nat.primeCounting @[inherit_doc] scoped notation "π" => Nat.primeCounting @[inherit_doc] scoped notation "π'" => Nat.primeCounting' theorem monotone_primeCounting' : Monotone primeCounting' := count_monotone Prime #align nat.monotone_prime_counting' Nat.monotone_primeCounting' theorem monotone_primeCounting : Monotone primeCounting := monotone_primeCounting'.comp (monotone_id.add_const _) #align nat.monotone_prime_counting Nat.monotone_primeCounting @[simp] theorem primeCounting'_nth_eq (n : ℕ) : π' (nth Prime n) = n := count_nth_of_infinite infinite_setOf_prime _ #align nat.prime_counting'_nth_eq Nat.primeCounting'_nth_eq @[simp] theorem prime_nth_prime (n : ℕ) : Prime (nth Prime n) := nth_mem_of_infinite infinite_setOf_prime _ #align nat.prime_nth_prime Nat.prime_nth_prime lemma primesBelow_card_eq_primeCounting' (n : ℕ) : n.primesBelow.card = primeCounting' n := by simp only [primesBelow, primeCounting'] exact (count_eq_card_filter_range Prime n).symm
Mathlib/NumberTheory/PrimeCounting.lean
83
102
theorem primeCounting'_add_le {a k : ℕ} (h0 : 0 < a) (h1 : a < k) (n : ℕ) : π' (k + n) ≤ π' k + Nat.totient a * (n / a + 1) := calc π' (k + n) ≤ ((range k).filter Prime).card + ((Ico k (k + n)).filter Prime).card := by
rw [primeCounting', count_eq_card_filter_range, range_eq_Ico, ← Ico_union_Ico_eq_Ico (zero_le k) le_self_add, filter_union] apply card_union_le _ ≤ π' k + ((Ico k (k + n)).filter Prime).card := by rw [primeCounting', count_eq_card_filter_range] _ ≤ π' k + ((Ico k (k + n)).filter (Coprime a)).card := by refine add_le_add_left (card_le_card ?_) k.primeCounting' simp only [subset_iff, and_imp, mem_filter, mem_Ico] intro p succ_k_le_p p_lt_n p_prime constructor · exact ⟨succ_k_le_p, p_lt_n⟩ · rw [coprime_comm] exact coprime_of_lt_prime h0 (gt_of_ge_of_gt succ_k_le_p h1) p_prime _ ≤ π' k + totient a * (n / a + 1) := by rw [add_le_add_iff_left] exact Ico_filter_coprime_le k n h0
16
import Mathlib.Data.Finset.Fin import Mathlib.Data.Int.Order.Units import Mathlib.GroupTheory.OrderOfElement import Mathlib.GroupTheory.Perm.Support import Mathlib.Logic.Equiv.Fintype #align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" universe u v open Equiv Function Fintype Finset variable {α : Type u} {β : Type v} -- An example on how to determine the order of an element of a finite group. example : orderOf (-1 : ℤˣ) = 2 := orderOf_eq_prime (Int.units_sq _) (by decide) namespace Equiv.Perm theorem perm_inv_on_of_perm_on_finset {s : Finset α} {f : Perm α} (h : ∀ x ∈ s, f x ∈ s) {y : α} (hy : y ∈ s) : f⁻¹ y ∈ s := by have h0 : ∀ y ∈ s, ∃ (x : _) (hx : x ∈ s), y = (fun i (_ : i ∈ s) => f i) x hx := Finset.surj_on_of_inj_on_of_card_le (fun x hx => (fun i _ => f i) x hx) (fun a ha => h a ha) (fun a₁ a₂ ha₁ ha₂ heq => (Equiv.apply_eq_iff_eq f).mp heq) rfl.ge obtain ⟨y2, hy2, heq⟩ := h0 y hy convert hy2 rw [heq] simp only [inv_apply_self] #align equiv.perm.perm_inv_on_of_perm_on_finset Equiv.Perm.perm_inv_on_of_perm_on_finset theorem perm_inv_mapsTo_of_mapsTo (f : Perm α) {s : Set α} [Finite s] (h : Set.MapsTo f s s) : Set.MapsTo (f⁻¹ : _) s s := by cases nonempty_fintype s exact fun x hx => Set.mem_toFinset.mp <| perm_inv_on_of_perm_on_finset (fun a ha => Set.mem_toFinset.mpr (h (Set.mem_toFinset.mp ha))) (Set.mem_toFinset.mpr hx) #align equiv.perm.perm_inv_maps_to_of_maps_to Equiv.Perm.perm_inv_mapsTo_of_mapsTo @[simp] theorem perm_inv_mapsTo_iff_mapsTo {f : Perm α} {s : Set α} [Finite s] : Set.MapsTo (f⁻¹ : _) s s ↔ Set.MapsTo f s s := ⟨perm_inv_mapsTo_of_mapsTo f⁻¹, perm_inv_mapsTo_of_mapsTo f⟩ #align equiv.perm.perm_inv_maps_to_iff_maps_to Equiv.Perm.perm_inv_mapsTo_iff_mapsTo theorem perm_inv_on_of_perm_on_finite {f : Perm α} {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) {x : α} (hx : p x) : p (f⁻¹ x) := -- Porting note: relies heavily on the definitions of `Subtype` and `setOf` unfolding to their -- underlying predicate. have : Finite { x | p x } := ‹_› perm_inv_mapsTo_of_mapsTo (s := {x | p x}) f h hx #align equiv.perm.perm_inv_on_of_perm_on_finite Equiv.Perm.perm_inv_on_of_perm_on_finite abbrev subtypePermOfFintype (f : Perm α) {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) : Perm { x // p x } := f.subtypePerm fun x => ⟨h x, fun h₂ => f.inv_apply_self x ▸ perm_inv_on_of_perm_on_finite h h₂⟩ #align equiv.perm.subtype_perm_of_fintype Equiv.Perm.subtypePermOfFintype @[simp] theorem subtypePermOfFintype_apply (f : Perm α) {p : α → Prop} [Finite { x // p x }] (h : ∀ x, p x → p (f x)) (x : { x // p x }) : subtypePermOfFintype f h x = ⟨f x, h x x.2⟩ := rfl #align equiv.perm.subtype_perm_of_fintype_apply Equiv.Perm.subtypePermOfFintype_apply theorem subtypePermOfFintype_one (p : α → Prop) [Finite { x // p x }] (h : ∀ x, p x → p ((1 : Perm α) x)) : @subtypePermOfFintype α 1 p _ h = 1 := rfl #align equiv.perm.subtype_perm_of_fintype_one Equiv.Perm.subtypePermOfFintype_one
Mathlib/GroupTheory/Perm/Finite.lean
111
129
theorem perm_mapsTo_inl_iff_mapsTo_inr {m n : Type*} [Finite m] [Finite n] (σ : Perm (Sum m n)) : Set.MapsTo σ (Set.range Sum.inl) (Set.range Sum.inl) ↔ Set.MapsTo σ (Set.range Sum.inr) (Set.range Sum.inr) := by
constructor <;> ( intro h classical rw [← perm_inv_mapsTo_iff_mapsTo] at h intro x cases' hx : σ x with l r) · rintro ⟨a, rfl⟩ obtain ⟨y, hy⟩ := h ⟨l, rfl⟩ rw [← hx, σ.inv_apply_self] at hy exact absurd hy Sum.inl_ne_inr · rintro _; exact ⟨r, rfl⟩ · rintro _; exact ⟨l, rfl⟩ · rintro ⟨a, rfl⟩ obtain ⟨y, hy⟩ := h ⟨r, rfl⟩ rw [← hx, σ.inv_apply_self] at hy exact absurd hy Sum.inr_ne_inl
16
import Mathlib.Analysis.SpecialFunctions.Complex.Log import Mathlib.RingTheory.RootsOfUnity.Basic #align_import ring_theory.roots_of_unity.complex from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f" namespace Complex open Polynomial Real open scoped Nat Real
Mathlib/RingTheory/RootsOfUnity/Complex.lean
33
50
theorem isPrimitiveRoot_exp_of_coprime (i n : ℕ) (h0 : n ≠ 0) (hi : i.Coprime n) : IsPrimitiveRoot (exp (2 * π * I * (i / n))) n := by
rw [IsPrimitiveRoot.iff_def] simp only [← exp_nat_mul, exp_eq_one_iff] have hn0 : (n : ℂ) ≠ 0 := mod_cast h0 constructor · use i field_simp [hn0, mul_comm (i : ℂ), mul_comm (n : ℂ)] · simp only [hn0, mul_right_comm _ _ ↑n, mul_left_inj' two_pi_I_ne_zero, Ne, not_false_iff, mul_comm _ (i : ℂ), ← mul_assoc _ (i : ℂ), exists_imp, field_simps] norm_cast rintro l k hk conv_rhs at hk => rw [mul_comm, ← mul_assoc] have hz : 2 * ↑π * I ≠ 0 := by simp [pi_pos.ne.symm, I_ne_zero] field_simp [hz] at hk norm_cast at hk have : n ∣ i * l := by rw [← Int.natCast_dvd_natCast, hk, mul_comm]; apply dvd_mul_left exact hi.symm.dvd_of_dvd_mul_left this
16
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''] section Charts variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M'] [SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H}
Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean
89
106
theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) : MDifferentiableAt I I e x := by
rw [mdifferentiableAt_iff] refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩ have mem : I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by simp only [hx, mfld_simps] have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I := HasGroupoid.compatible (chart_mem_atlas H x) h have A : ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm) (I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) := this.1 have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem simp only [mfld_simps] at B rw [inter_comm, differentiableWithinAt_inter] at B · simpa only [mfld_simps] · apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
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import Mathlib.Analysis.NormedSpace.OperatorNorm.Bilinear import Mathlib.Analysis.NormedSpace.OperatorNorm.NNNorm suppress_compilation open Bornology Metric Set Real open Filter hiding map_smul open scoped Classical NNReal Topology Uniformity -- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*} variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] [NormedAddCommGroup Fₗ] variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃] [NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜₃ G] [NormedSpace 𝕜 Fₗ] (c : 𝕜) {σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} (f g : E →SL[σ₁₂] F) (x y z : E) namespace ContinuousLinearMap section UniformlyExtend variable [CompleteSpace F] (e : E →L[𝕜] Fₗ) (h_dense : DenseRange e) section variable (h_e : UniformInducing e) def extend : Fₗ →SL[σ₁₂] F := -- extension of `f` is continuous have cont := (uniformContinuous_uniformly_extend h_e h_dense f.uniformContinuous).continuous -- extension of `f` agrees with `f` on the domain of the embedding `e` have eq := uniformly_extend_of_ind h_e h_dense f.uniformContinuous { toFun := (h_e.denseInducing h_dense).extend f map_add' := by refine h_dense.induction_on₂ ?_ ?_ · exact isClosed_eq (cont.comp continuous_add) ((cont.comp continuous_fst).add (cont.comp continuous_snd)) · intro x y simp only [eq, ← e.map_add] exact f.map_add _ _ map_smul' := fun k => by refine fun b => h_dense.induction_on b ?_ ?_ · exact isClosed_eq (cont.comp (continuous_const_smul _)) ((continuous_const_smul _).comp cont) · intro x rw [← map_smul] simp only [eq] exact ContinuousLinearMap.map_smulₛₗ _ _ _ cont } #align continuous_linear_map.extend ContinuousLinearMap.extend -- Porting note: previously `(h_e.denseInducing h_dense)` was inferred. @[simp] theorem extend_eq (x : E) : extend f e h_dense h_e (e x) = f x := DenseInducing.extend_eq (h_e.denseInducing h_dense) f.cont _ #align continuous_linear_map.extend_eq ContinuousLinearMap.extend_eq theorem extend_unique (g : Fₗ →SL[σ₁₂] F) (H : g.comp e = f) : extend f e h_dense h_e = g := ContinuousLinearMap.coeFn_injective <| uniformly_extend_unique h_e h_dense (ContinuousLinearMap.ext_iff.1 H) g.continuous #align continuous_linear_map.extend_unique ContinuousLinearMap.extend_unique @[simp] theorem extend_zero : extend (0 : E →SL[σ₁₂] F) e h_dense h_e = 0 := extend_unique _ _ _ _ _ (zero_comp _) #align continuous_linear_map.extend_zero ContinuousLinearMap.extend_zero end section variable {N : ℝ≥0} (h_e : ∀ x, ‖x‖ ≤ N * ‖e x‖) [RingHomIsometric σ₁₂]
Mathlib/Analysis/NormedSpace/OperatorNorm/Completeness.lean
246
263
theorem opNorm_extend_le : ‖f.extend e h_dense (uniformEmbedding_of_bound _ h_e).toUniformInducing‖ ≤ N * ‖f‖ := by
-- Add `opNorm_le_of_dense`? refine opNorm_le_bound _ ?_ (isClosed_property h_dense (isClosed_le ?_ ?_) fun x ↦ ?_) · cases le_total 0 N with | inl hN => exact mul_nonneg hN (norm_nonneg _) | inr hN => have : Unique E := ⟨⟨0⟩, fun x ↦ norm_le_zero_iff.mp <| (h_e x).trans (mul_nonpos_of_nonpos_of_nonneg hN (norm_nonneg _))⟩ obtain rfl : f = 0 := Subsingleton.elim .. simp · exact (cont _).norm · exact continuous_const.mul continuous_norm · rw [extend_eq] calc ‖f x‖ ≤ ‖f‖ * ‖x‖ := le_opNorm _ _ _ ≤ ‖f‖ * (N * ‖e x‖) := mul_le_mul_of_nonneg_left (h_e x) (norm_nonneg _) _ ≤ N * ‖f‖ * ‖e x‖ := by rw [mul_comm ↑N ‖f‖, mul_assoc]
16
import Mathlib.RingTheory.Polynomial.Basic import Mathlib.RingTheory.Ideal.LocalRing #align_import data.polynomial.expand from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821" universe u v w open Polynomial open Finset namespace Polynomial section CommSemiring variable (R : Type u) [CommSemiring R] {S : Type v} [CommSemiring S] (p q : ℕ) noncomputable def expand : R[X] →ₐ[R] R[X] := { (eval₂RingHom C (X ^ p) : R[X] →+* R[X]) with commutes' := fun _ => eval₂_C _ _ } #align polynomial.expand Polynomial.expand theorem coe_expand : (expand R p : R[X] → R[X]) = eval₂ C (X ^ p) := rfl #align polynomial.coe_expand Polynomial.coe_expand variable {R} theorem expand_eq_comp_X_pow {f : R[X]} : expand R p f = f.comp (X ^ p) := rfl theorem expand_eq_sum {f : R[X]} : expand R p f = f.sum fun e a => C a * (X ^ p) ^ e := by simp [expand, eval₂] #align polynomial.expand_eq_sum Polynomial.expand_eq_sum @[simp] theorem expand_C (r : R) : expand R p (C r) = C r := eval₂_C _ _ set_option linter.uppercaseLean3 false in #align polynomial.expand_C Polynomial.expand_C @[simp] theorem expand_X : expand R p X = X ^ p := eval₂_X _ _ set_option linter.uppercaseLean3 false in #align polynomial.expand_X Polynomial.expand_X @[simp] theorem expand_monomial (r : R) : expand R p (monomial q r) = monomial (q * p) r := by simp_rw [← smul_X_eq_monomial, AlgHom.map_smul, AlgHom.map_pow, expand_X, mul_comm, pow_mul] #align polynomial.expand_monomial Polynomial.expand_monomial theorem expand_expand (f : R[X]) : expand R p (expand R q f) = expand R (p * q) f := Polynomial.induction_on f (fun r => by simp_rw [expand_C]) (fun f g ihf ihg => by simp_rw [AlgHom.map_add, ihf, ihg]) fun n r _ => by simp_rw [AlgHom.map_mul, expand_C, AlgHom.map_pow, expand_X, AlgHom.map_pow, expand_X, pow_mul] #align polynomial.expand_expand Polynomial.expand_expand theorem expand_mul (f : R[X]) : expand R (p * q) f = expand R p (expand R q f) := (expand_expand p q f).symm #align polynomial.expand_mul Polynomial.expand_mul @[simp] theorem expand_zero (f : R[X]) : expand R 0 f = C (eval 1 f) := by simp [expand] #align polynomial.expand_zero Polynomial.expand_zero @[simp] theorem expand_one (f : R[X]) : expand R 1 f = f := Polynomial.induction_on f (fun r => by rw [expand_C]) (fun f g ihf ihg => by rw [AlgHom.map_add, ihf, ihg]) fun n r _ => by rw [AlgHom.map_mul, expand_C, AlgHom.map_pow, expand_X, pow_one] #align polynomial.expand_one Polynomial.expand_one theorem expand_pow (f : R[X]) : expand R (p ^ q) f = (expand R p)^[q] f := Nat.recOn q (by rw [pow_zero, expand_one, Function.iterate_zero, id]) fun n ih => by rw [Function.iterate_succ_apply', pow_succ', expand_mul, ih] #align polynomial.expand_pow Polynomial.expand_pow theorem derivative_expand (f : R[X]) : Polynomial.derivative (expand R p f) = expand R p (Polynomial.derivative f) * (p * (X ^ (p - 1) : R[X])) := by rw [coe_expand, derivative_eval₂_C, derivative_pow, C_eq_natCast, derivative_X, mul_one] #align polynomial.derivative_expand Polynomial.derivative_expand
Mathlib/Algebra/Polynomial/Expand.lean
100
117
theorem coeff_expand {p : ℕ} (hp : 0 < p) (f : R[X]) (n : ℕ) : (expand R p f).coeff n = if p ∣ n then f.coeff (n / p) else 0 := by
simp only [expand_eq_sum] simp_rw [coeff_sum, ← pow_mul, C_mul_X_pow_eq_monomial, coeff_monomial, sum] split_ifs with h · rw [Finset.sum_eq_single (n / p), Nat.mul_div_cancel' h, if_pos rfl] · intro b _ hb2 rw [if_neg] intro hb3 apply hb2 rw [← hb3, Nat.mul_div_cancel_left b hp] · intro hn rw [not_mem_support_iff.1 hn] split_ifs <;> rfl · rw [Finset.sum_eq_zero] intro k _ rw [if_neg] exact fun hkn => h ⟨k, hkn.symm⟩
16
import Mathlib.Init.Core import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.NumberTheory.NumberField.Basic import Mathlib.FieldTheory.Galois #align_import number_theory.cyclotomic.basic from "leanprover-community/mathlib"@"4b05d3f4f0601dca8abf99c4ec99187682ed0bba" open Polynomial Algebra FiniteDimensional Set universe u v w z variable (n : ℕ+) (S T : Set ℕ+) (A : Type u) (B : Type v) (K : Type w) (L : Type z) variable [CommRing A] [CommRing B] [Algebra A B] variable [Field K] [Field L] [Algebra K L] noncomputable section @[mk_iff] class IsCyclotomicExtension : Prop where exists_prim_root {n : ℕ+} (ha : n ∈ S) : ∃ r : B, IsPrimitiveRoot r n adjoin_roots : ∀ x : B, x ∈ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} #align is_cyclotomic_extension IsCyclotomicExtension namespace IsCyclotomicExtension section Basic theorem iff_adjoin_eq_top : IsCyclotomicExtension S A B ↔ (∀ n : ℕ+, n ∈ S → ∃ r : B, IsPrimitiveRoot r n) ∧ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} = ⊤ := ⟨fun h => ⟨fun _ => h.exists_prim_root, Algebra.eq_top_iff.2 h.adjoin_roots⟩, fun h => ⟨h.1 _, Algebra.eq_top_iff.1 h.2⟩⟩ #align is_cyclotomic_extension.iff_adjoin_eq_top IsCyclotomicExtension.iff_adjoin_eq_top theorem iff_singleton : IsCyclotomicExtension {n} A B ↔ (∃ r : B, IsPrimitiveRoot r n) ∧ ∀ x, x ∈ adjoin A {b : B | b ^ (n : ℕ) = 1} := by simp [isCyclotomicExtension_iff] #align is_cyclotomic_extension.iff_singleton IsCyclotomicExtension.iff_singleton theorem empty [h : IsCyclotomicExtension ∅ A B] : (⊥ : Subalgebra A B) = ⊤ := by simpa [Algebra.eq_top_iff, isCyclotomicExtension_iff] using h #align is_cyclotomic_extension.empty IsCyclotomicExtension.empty theorem singleton_one [h : IsCyclotomicExtension {1} A B] : (⊥ : Subalgebra A B) = ⊤ := Algebra.eq_top_iff.2 fun x => by simpa [adjoin_singleton_one] using ((isCyclotomicExtension_iff _ _ _).1 h).2 x #align is_cyclotomic_extension.singleton_one IsCyclotomicExtension.singleton_one variable {A B} theorem singleton_zero_of_bot_eq_top (h : (⊥ : Subalgebra A B) = ⊤) : IsCyclotomicExtension ∅ A B := by -- Porting note: Lean3 is able to infer `A`. refine (iff_adjoin_eq_top _ A _).2 ⟨fun s hs => by simp at hs, _root_.eq_top_iff.2 fun x hx => ?_⟩ rw [← h] at hx simpa using hx #align is_cyclotomic_extension.singleton_zero_of_bot_eq_top IsCyclotomicExtension.singleton_zero_of_bot_eq_top variable (A B)
Mathlib/NumberTheory/Cyclotomic/Basic.lean
132
150
theorem trans (C : Type w) [CommRing C] [Algebra A C] [Algebra B C] [IsScalarTower A B C] [hS : IsCyclotomicExtension S A B] [hT : IsCyclotomicExtension T B C] (h : Function.Injective (algebraMap B C)) : IsCyclotomicExtension (S ∪ T) A C := by
refine ⟨fun hn => ?_, fun x => ?_⟩ · cases' hn with hn hn · obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 hS).1 hn refine ⟨algebraMap B C b, ?_⟩ exact hb.map_of_injective h · exact ((isCyclotomicExtension_iff _ _ _).1 hT).1 hn · refine adjoin_induction (((isCyclotomicExtension_iff T B _).1 hT).2 x) (fun c ⟨n, hn⟩ => subset_adjoin ⟨n, Or.inr hn.1, hn.2⟩) (fun b => ?_) (fun x y hx hy => Subalgebra.add_mem _ hx hy) fun x y hx hy => Subalgebra.mul_mem _ hx hy let f := IsScalarTower.toAlgHom A B C have hb : f b ∈ (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}).map f := ⟨b, ((isCyclotomicExtension_iff _ _ _).1 hS).2 b, rfl⟩ rw [IsScalarTower.toAlgHom_apply, ← adjoin_image] at hb refine adjoin_mono (fun y hy => ?_) hb obtain ⟨b₁, ⟨⟨n, hn⟩, h₁⟩⟩ := hy exact ⟨n, ⟨mem_union_left T hn.1, by rw [← h₁, ← AlgHom.map_pow, hn.2, AlgHom.map_one]⟩⟩
16
import Mathlib.Data.Finset.NatAntidiagonal import Mathlib.Data.Finsupp.Multiset import Mathlib.Data.Multiset.Antidiagonal #align_import data.finsupp.antidiagonal from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" namespace Finsupp open Finset universe u variable {α : Type u} [DecidableEq α] def antidiagonal' (f : α →₀ ℕ) : (α →₀ ℕ) × (α →₀ ℕ) →₀ ℕ := Multiset.toFinsupp ((Finsupp.toMultiset f).antidiagonal.map (Prod.map Multiset.toFinsupp Multiset.toFinsupp)) #align finsupp.antidiagonal' Finsupp.antidiagonal' instance instHasAntidiagonal : HasAntidiagonal (α →₀ ℕ) where antidiagonal f := f.antidiagonal'.support mem_antidiagonal {f} {p} := by rcases p with ⟨p₁, p₂⟩ simp [antidiagonal', ← and_assoc, Multiset.toFinsupp_eq_iff, ← Multiset.toFinsupp_eq_iff (f := f)] #align finsupp.antidiagonal_filter_fst_eq Finset.filter_fst_eq_antidiagonal #align finsupp.antidiagonal_filter_snd_eq Finset.filter_snd_eq_antidiagonal -- nolint as this is for dsimp @[simp, nolint simpNF] theorem antidiagonal_zero : antidiagonal (0 : α →₀ ℕ) = singleton (0, 0) := rfl #align finsupp.antidiagonal_zero Finsupp.antidiagonal_zero @[to_additive] theorem prod_antidiagonal_swap {M : Type*} [CommMonoid M] (n : α →₀ ℕ) (f : (α →₀ ℕ) → (α →₀ ℕ) → M) : ∏ p ∈ antidiagonal n, f p.1 p.2 = ∏ p ∈ antidiagonal n, f p.2 p.1 := prod_equiv (Equiv.prodComm _ _) (by simp [add_comm]) (by simp) #align finsupp.prod_antidiagonal_swap Finsupp.prod_antidiagonal_swap #align finsupp.sum_antidiagonal_swap Finsupp.sum_antidiagonal_swap @[simp]
Mathlib/Data/Finsupp/Antidiagonal.lean
61
79
theorem antidiagonal_single (a : α) (n : ℕ) : antidiagonal (single a n) = (antidiagonal n).map (Function.Embedding.prodMap ⟨_, single_injective a⟩ ⟨_, single_injective a⟩) := by
ext ⟨x, y⟩ simp only [mem_antidiagonal, mem_map, mem_antidiagonal, Function.Embedding.coe_prodMap, Function.Embedding.coeFn_mk, Prod.map_apply, Prod.mk.injEq, Prod.exists] constructor · intro h refine ⟨x a, y a, DFunLike.congr_fun h a |>.trans single_eq_same, ?_⟩ simp_rw [DFunLike.ext_iff, ← forall_and] intro i replace h := DFunLike.congr_fun h i simp_rw [single_apply, Finsupp.add_apply] at h ⊢ obtain rfl | hai := Decidable.eq_or_ne a i · exact ⟨if_pos rfl, if_pos rfl⟩ · simp_rw [if_neg hai, _root_.add_eq_zero_iff] at h ⊢ exact h.imp Eq.symm Eq.symm · rintro ⟨a, b, rfl, rfl, rfl⟩ exact (single_add _ _ _).symm
16
import Mathlib.Analysis.Convolution import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup import Mathlib.Analysis.Analytic.IsolatedZeros import Mathlib.Analysis.Complex.CauchyIntegral #align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090" noncomputable section set_option linter.uppercaseLean3 false open Filter intervalIntegral Set Real MeasureTheory open scoped Nat Topology Real section BetaIntegral namespace Complex noncomputable def betaIntegral (u v : ℂ) : ℂ := ∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) #align complex.beta_integral Complex.betaIntegral theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by apply IntervalIntegrable.mul_continuousOn · refine intervalIntegral.intervalIntegrable_cpow' ?_ rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right] · apply ContinuousAt.continuousOn intro x hx rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx apply ContinuousAt.cpow · exact (continuous_const.sub continuous_ofReal).continuousAt · exact continuousAt_const · norm_cast exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2] #align complex.beta_integral_convergent_left Complex.betaIntegral_convergent_left theorem betaIntegral_convergent {u v : ℂ} (hu : 0 < re u) (hv : 0 < re v) : IntervalIntegrable (fun x => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 1 := by refine (betaIntegral_convergent_left hu v).trans ?_ rw [IntervalIntegrable.iff_comp_neg] convert ((betaIntegral_convergent_left hv u).comp_add_right 1).symm using 1 · ext1 x conv_lhs => rw [mul_comm] congr 2 <;> · push_cast; ring · norm_num · norm_num #align complex.beta_integral_convergent Complex.betaIntegral_convergent theorem betaIntegral_symm (u v : ℂ) : betaIntegral v u = betaIntegral u v := by rw [betaIntegral, betaIntegral] have := intervalIntegral.integral_comp_mul_add (a := 0) (b := 1) (c := -1) (fun x : ℝ => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1)) neg_one_lt_zero.ne 1 rw [inv_neg, inv_one, neg_one_smul, ← intervalIntegral.integral_symm] at this simp? at this says simp only [neg_mul, one_mul, ofReal_add, ofReal_neg, ofReal_one, sub_add_cancel_right, neg_neg, mul_one, add_left_neg, mul_zero, zero_add] at this conv_lhs at this => arg 1; intro x; rw [add_comm, ← sub_eq_add_neg, mul_comm] exact this #align complex.beta_integral_symm Complex.betaIntegral_symm theorem betaIntegral_eval_one_right {u : ℂ} (hu : 0 < re u) : betaIntegral u 1 = 1 / u := by simp_rw [betaIntegral, sub_self, cpow_zero, mul_one] rw [integral_cpow (Or.inl _)] · rw [ofReal_zero, ofReal_one, one_cpow, zero_cpow, sub_zero, sub_add_cancel] rw [sub_add_cancel] contrapose! hu; rw [hu, zero_re] · rwa [sub_re, one_re, ← sub_pos, sub_neg_eq_add, sub_add_cancel] #align complex.beta_integral_eval_one_right Complex.betaIntegral_eval_one_right
Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean
114
132
theorem betaIntegral_scaled (s t : ℂ) {a : ℝ} (ha : 0 < a) : ∫ x in (0)..a, (x : ℂ) ^ (s - 1) * ((a : ℂ) - x) ^ (t - 1) = (a : ℂ) ^ (s + t - 1) * betaIntegral s t := by
have ha' : (a : ℂ) ≠ 0 := ofReal_ne_zero.mpr ha.ne' rw [betaIntegral] have A : (a : ℂ) ^ (s + t - 1) = a * ((a : ℂ) ^ (s - 1) * (a : ℂ) ^ (t - 1)) := by rw [(by abel : s + t - 1 = 1 + (s - 1) + (t - 1)), cpow_add _ _ ha', cpow_add 1 _ ha', cpow_one, mul_assoc] rw [A, mul_assoc, ← intervalIntegral.integral_const_mul, ← real_smul, ← zero_div a, ← div_self ha.ne', ← intervalIntegral.integral_comp_div _ ha.ne', zero_div] simp_rw [intervalIntegral.integral_of_le ha.le] refine setIntegral_congr measurableSet_Ioc fun x hx => ?_ rw [mul_mul_mul_comm] congr 1 · rw [← mul_cpow_ofReal_nonneg ha.le (div_pos hx.1 ha).le, ofReal_div, mul_div_cancel₀ _ ha'] · rw [(by norm_cast : (1 : ℂ) - ↑(x / a) = ↑(1 - x / a)), ← mul_cpow_ofReal_nonneg ha.le (sub_nonneg.mpr <| (div_le_one ha).mpr hx.2)] push_cast rw [mul_sub, mul_one, mul_div_cancel₀ _ ha']
16
import Mathlib.LinearAlgebra.Eigenspace.Basic import Mathlib.FieldTheory.Minpoly.Field #align_import linear_algebra.eigenspace.minpoly from "leanprover-community/mathlib"@"c3216069e5f9369e6be586ccbfcde2592b3cec92" universe u v w namespace Module namespace End open Polynomial FiniteDimensional open scoped Polynomial variable {K : Type v} {V : Type w} [Field K] [AddCommGroup V] [Module K V] theorem eigenspace_aeval_polynomial_degree_1 (f : End K V) (q : K[X]) (hq : degree q = 1) : eigenspace f (-q.coeff 0 / q.leadingCoeff) = LinearMap.ker (aeval f q) := calc eigenspace f (-q.coeff 0 / q.leadingCoeff) _ = LinearMap.ker (q.leadingCoeff • f - algebraMap K (End K V) (-q.coeff 0)) := by rw [eigenspace_div] intro h rw [leadingCoeff_eq_zero_iff_deg_eq_bot.1 h] at hq cases hq _ = LinearMap.ker (aeval f (C q.leadingCoeff * X + C (q.coeff 0))) := by rw [C_mul', aeval_def]; simp [algebraMap, Algebra.toRingHom] _ = LinearMap.ker (aeval f q) := by rwa [← eq_X_add_C_of_degree_eq_one] #align module.End.eigenspace_aeval_polynomial_degree_1 Module.End.eigenspace_aeval_polynomial_degree_1 theorem ker_aeval_ring_hom'_unit_polynomial (f : End K V) (c : K[X]ˣ) : LinearMap.ker (aeval f (c : K[X])) = ⊥ := by rw [Polynomial.eq_C_of_degree_eq_zero (degree_coe_units c)] simp only [aeval_def, eval₂_C] apply ker_algebraMap_end apply coeff_coe_units_zero_ne_zero c #align module.End.ker_aeval_ring_hom'_unit_polynomial Module.End.ker_aeval_ring_hom'_unit_polynomial theorem aeval_apply_of_hasEigenvector {f : End K V} {p : K[X]} {μ : K} {x : V} (h : f.HasEigenvector μ x) : aeval f p x = p.eval μ • x := by refine p.induction_on ?_ ?_ ?_ · intro a; simp [Module.algebraMap_end_apply] · intro p q hp hq; simp [hp, hq, add_smul] · intro n a hna rw [mul_comm, pow_succ', mul_assoc, AlgHom.map_mul, LinearMap.mul_apply, mul_comm, hna] simp only [mem_eigenspace_iff.1 h.1, smul_smul, aeval_X, eval_mul, eval_C, eval_pow, eval_X, LinearMap.map_smulₛₗ, RingHom.id_apply, mul_comm] #align module.End.aeval_apply_of_has_eigenvector Module.End.aeval_apply_of_hasEigenvector theorem isRoot_of_hasEigenvalue {f : End K V} {μ : K} (h : f.HasEigenvalue μ) : (minpoly K f).IsRoot μ := by rcases (Submodule.ne_bot_iff _).1 h with ⟨w, ⟨H, ne0⟩⟩ refine Or.resolve_right (smul_eq_zero.1 ?_) ne0 simp [← aeval_apply_of_hasEigenvector ⟨H, ne0⟩, minpoly.aeval K f] #align module.End.is_root_of_has_eigenvalue Module.End.isRoot_of_hasEigenvalue variable [FiniteDimensional K V] (f : End K V) variable {f} {μ : K}
Mathlib/LinearAlgebra/Eigenspace/Minpoly.lean
75
91
theorem hasEigenvalue_of_isRoot (h : (minpoly K f).IsRoot μ) : f.HasEigenvalue μ := by
cases' dvd_iff_isRoot.2 h with p hp rw [HasEigenvalue, eigenspace] intro con cases' (LinearMap.isUnit_iff_ker_eq_bot _).2 con with u hu have p_ne_0 : p ≠ 0 := by intro con apply minpoly.ne_zero (Algebra.IsIntegral.isIntegral (R := K) f) rw [hp, con, mul_zero] have : (aeval f) p = 0 := by have h_aeval := minpoly.aeval K f revert h_aeval simp [hp, ← hu] have h_deg := minpoly.degree_le_of_ne_zero K f p_ne_0 this rw [hp, degree_mul, degree_X_sub_C, Polynomial.degree_eq_natDegree p_ne_0] at h_deg norm_cast at h_deg omega
16
import Mathlib.Analysis.Convex.Cone.Basic import Mathlib.Analysis.InnerProductSpace.Projection #align_import analysis.convex.cone.dual from "leanprover-community/mathlib"@"915591b2bb3ea303648db07284a161a7f2a9e3d4" open Set LinearMap open scoped Classical open Pointwise variable {𝕜 E F G : Type*} section Dual variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℝ H] (s t : Set H) open RealInnerProductSpace def Set.innerDualCone (s : Set H) : ConvexCone ℝ H where carrier := { y | ∀ x ∈ s, 0 ≤ ⟪x, y⟫ } smul_mem' c hc y hy x hx := by rw [real_inner_smul_right] exact mul_nonneg hc.le (hy x hx) add_mem' u hu v hv x hx := by rw [inner_add_right] exact add_nonneg (hu x hx) (hv x hx) #align set.inner_dual_cone Set.innerDualCone @[simp] theorem mem_innerDualCone (y : H) (s : Set H) : y ∈ s.innerDualCone ↔ ∀ x ∈ s, 0 ≤ ⟪x, y⟫ := Iff.rfl #align mem_inner_dual_cone mem_innerDualCone @[simp] theorem innerDualCone_empty : (∅ : Set H).innerDualCone = ⊤ := eq_top_iff.mpr fun _ _ _ => False.elim #align inner_dual_cone_empty innerDualCone_empty @[simp] theorem innerDualCone_zero : (0 : Set H).innerDualCone = ⊤ := eq_top_iff.mpr fun _ _ y (hy : y = 0) => hy.symm ▸ (inner_zero_left _).ge #align inner_dual_cone_zero innerDualCone_zero @[simp] theorem innerDualCone_univ : (univ : Set H).innerDualCone = 0 := by suffices ∀ x : H, x ∈ (univ : Set H).innerDualCone → x = 0 by apply SetLike.coe_injective exact eq_singleton_iff_unique_mem.mpr ⟨fun x _ => (inner_zero_right _).ge, this⟩ exact fun x hx => by simpa [← real_inner_self_nonpos] using hx (-x) (mem_univ _) #align inner_dual_cone_univ innerDualCone_univ theorem innerDualCone_le_innerDualCone (h : t ⊆ s) : s.innerDualCone ≤ t.innerDualCone := fun _ hy x hx => hy x (h hx) #align inner_dual_cone_le_inner_dual_cone innerDualCone_le_innerDualCone theorem pointed_innerDualCone : s.innerDualCone.Pointed := fun x _ => by rw [inner_zero_right] #align pointed_inner_dual_cone pointed_innerDualCone theorem innerDualCone_singleton (x : H) : ({x} : Set H).innerDualCone = (ConvexCone.positive ℝ ℝ).comap (innerₛₗ ℝ x) := ConvexCone.ext fun _ => forall_eq #align inner_dual_cone_singleton innerDualCone_singleton theorem innerDualCone_union (s t : Set H) : (s ∪ t).innerDualCone = s.innerDualCone ⊓ t.innerDualCone := le_antisymm (le_inf (fun _ hx _ hy => hx _ <| Or.inl hy) fun _ hx _ hy => hx _ <| Or.inr hy) fun _ hx _ => Or.rec (hx.1 _) (hx.2 _) #align inner_dual_cone_union innerDualCone_union theorem innerDualCone_insert (x : H) (s : Set H) : (insert x s).innerDualCone = Set.innerDualCone {x} ⊓ s.innerDualCone := by rw [insert_eq, innerDualCone_union] #align inner_dual_cone_insert innerDualCone_insert theorem innerDualCone_iUnion {ι : Sort*} (f : ι → Set H) : (⋃ i, f i).innerDualCone = ⨅ i, (f i).innerDualCone := by refine le_antisymm (le_iInf fun i x hx y hy => hx _ <| mem_iUnion_of_mem _ hy) ?_ intro x hx y hy rw [ConvexCone.mem_iInf] at hx obtain ⟨j, hj⟩ := mem_iUnion.mp hy exact hx _ _ hj #align inner_dual_cone_Union innerDualCone_iUnion theorem innerDualCone_sUnion (S : Set (Set H)) : (⋃₀ S).innerDualCone = sInf (Set.innerDualCone '' S) := by simp_rw [sInf_image, sUnion_eq_biUnion, innerDualCone_iUnion] #align inner_dual_cone_sUnion innerDualCone_sUnion theorem innerDualCone_eq_iInter_innerDualCone_singleton : (s.innerDualCone : Set H) = ⋂ i : s, (({↑i} : Set H).innerDualCone : Set H) := by rw [← ConvexCone.coe_iInf, ← innerDualCone_iUnion, iUnion_of_singleton_coe] #align inner_dual_cone_eq_Inter_inner_dual_cone_singleton innerDualCone_eq_iInter_innerDualCone_singleton theorem isClosed_innerDualCone : IsClosed (s.innerDualCone : Set H) := by -- reduce the problem to showing that dual cone of a singleton `{x}` is closed rw [innerDualCone_eq_iInter_innerDualCone_singleton] apply isClosed_iInter intro x -- the dual cone of a singleton `{x}` is the preimage of `[0, ∞)` under `inner x` have h : ({↑x} : Set H).innerDualCone = (inner x : H → ℝ) ⁻¹' Set.Ici 0 := by rw [innerDualCone_singleton, ConvexCone.coe_comap, ConvexCone.coe_positive, innerₛₗ_apply_coe] -- the preimage is closed as `inner x` is continuous and `[0, ∞)` is closed rw [h] exact isClosed_Ici.preimage (continuous_const.inner continuous_id') #align is_closed_inner_dual_cone isClosed_innerDualCone
Mathlib/Analysis/Convex/Cone/InnerDual.lean
144
161
theorem ConvexCone.pointed_of_nonempty_of_isClosed (K : ConvexCone ℝ H) (ne : (K : Set H).Nonempty) (hc : IsClosed (K : Set H)) : K.Pointed := by
obtain ⟨x, hx⟩ := ne let f : ℝ → H := (· • x) -- f (0, ∞) is a subset of K have fI : f '' Set.Ioi 0 ⊆ (K : Set H) := by rintro _ ⟨_, h, rfl⟩ exact K.smul_mem (Set.mem_Ioi.1 h) hx -- closure of f (0, ∞) is a subset of K have clf : closure (f '' Set.Ioi 0) ⊆ (K : Set H) := hc.closure_subset_iff.2 fI -- f is continuous at 0 from the right have fc : ContinuousWithinAt f (Set.Ioi (0 : ℝ)) 0 := (continuous_id.smul continuous_const).continuousWithinAt -- 0 belongs to the closure of the f (0, ∞) have mem₀ := fc.mem_closure_image (by rw [closure_Ioi (0 : ℝ), mem_Ici]) -- as 0 ∈ closure f (0, ∞) and closure f (0, ∞) ⊆ K, 0 ∈ K. have f₀ : f 0 = 0 := zero_smul ℝ x simpa only [f₀, ConvexCone.Pointed, ← SetLike.mem_coe] using mem_of_subset_of_mem clf mem₀
16
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation #align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b" universe u1 u2 u3 variable {R M N : Type*} variable [CommRing R] [AddCommGroup M] [AddCommGroup N] variable [Module R M] [Module R N] variable (Q : QuadraticForm R M) namespace CliffordAlgebra @[elab_as_elim]
Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean
140
157
theorem right_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r)) (add : ∀ x y, P x → P y → P (x + y)) (mul_ι : ∀ m x, P x → P (x * ι Q m)) : ∀ x, P x := by
/- It would be neat if we could prove this via `foldr` like how we prove `CliffordAlgebra.induction`, but going via the grading seems easier. -/ intro x have : x ∈ ⊤ := Submodule.mem_top (R := R) rw [← iSup_ι_range_eq_top] at this induction this using Submodule.iSup_induction' with | mem i x hx => induction hx using Submodule.pow_induction_on_right' with | algebraMap r => exact algebraMap r | add _x _y _i _ _ ihx ihy => exact add _ _ ihx ihy | mul_mem _i x _hx px m hm => obtain ⟨m, rfl⟩ := hm exact mul_ι _ _ px | zero => simpa only [map_zero] using algebraMap 0 | add _x _y _ _ ihx ihy => exact add _ _ ihx ihy
16
import Mathlib.Algebra.Order.Field.Power import Mathlib.Data.Int.LeastGreatest import Mathlib.Data.Rat.Floor import Mathlib.Data.NNRat.Defs #align_import algebra.order.archimedean from "leanprover-community/mathlib"@"6f413f3f7330b94c92a5a27488fdc74e6d483a78" open Int Set variable {α : Type*} class Archimedean (α) [OrderedAddCommMonoid α] : Prop where arch : ∀ (x : α) {y : α}, 0 < y → ∃ n : ℕ, x ≤ n • y #align archimedean Archimedean instance OrderDual.archimedean [OrderedAddCommGroup α] [Archimedean α] : Archimedean αᵒᵈ := ⟨fun x y hy => let ⟨n, hn⟩ := Archimedean.arch (-ofDual x) (neg_pos.2 hy) ⟨n, by rwa [neg_nsmul, neg_le_neg_iff] at hn⟩⟩ #align order_dual.archimedean OrderDual.archimedean variable {M : Type*} theorem exists_lt_nsmul [OrderedAddCommMonoid M] [Archimedean M] [CovariantClass M M (· + ·) (· < ·)] {a : M} (ha : 0 < a) (b : M) : ∃ n : ℕ, b < n • a := let ⟨k, hk⟩ := Archimedean.arch b ha ⟨k + 1, hk.trans_lt <| nsmul_lt_nsmul_left ha k.lt_succ_self⟩ section LinearOrderedAddCommGroup variable [LinearOrderedAddCommGroup α] [Archimedean α]
Mathlib/Algebra/Order/Archimedean.lean
64
81
theorem existsUnique_zsmul_near_of_pos {a : α} (ha : 0 < a) (g : α) : ∃! k : ℤ, k • a ≤ g ∧ g < (k + 1) • a := by
let s : Set ℤ := { n : ℤ | n • a ≤ g } obtain ⟨k, hk : -g ≤ k • a⟩ := Archimedean.arch (-g) ha have h_ne : s.Nonempty := ⟨-k, by simpa [s] using neg_le_neg hk⟩ obtain ⟨k, hk⟩ := Archimedean.arch g ha have h_bdd : ∀ n ∈ s, n ≤ (k : ℤ) := by intro n hn apply (zsmul_le_zsmul_iff ha).mp rw [← natCast_zsmul] at hk exact le_trans hn hk obtain ⟨m, hm, hm'⟩ := Int.exists_greatest_of_bdd ⟨k, h_bdd⟩ h_ne have hm'' : g < (m + 1) • a := by contrapose! hm' exact ⟨m + 1, hm', lt_add_one _⟩ refine ⟨m, ⟨hm, hm''⟩, fun n hn => (hm' n hn.1).antisymm <| Int.le_of_lt_add_one ?_⟩ rw [← zsmul_lt_zsmul_iff ha] exact lt_of_le_of_lt hm hn.2
16
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn import Mathlib.Analysis.NormedSpace.FiniteDimension open Set open scoped NNReal namespace ApproximatesLinearOn
Mathlib/Analysis/Calculus/InverseFunctionTheorem/FiniteDimensional.lean
27
47
theorem exists_homeomorph_extension {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] [FiniteDimensional ℝ F] {s : Set E} {f : E → F} {f' : E ≃L[ℝ] F} {c : ℝ≥0} (hf : ApproximatesLinearOn f (f' : E →L[ℝ] F) s c) (hc : Subsingleton E ∨ lipschitzExtensionConstant F * c < ‖(f'.symm : F →L[ℝ] E)‖₊⁻¹) : ∃ g : E ≃ₜ F, EqOn f g s := by
-- the difference `f - f'` is Lipschitz on `s`. It can be extended to a Lipschitz function `u` -- on the whole space, with a slightly worse Lipschitz constant. Then `f' + u` will be the -- desired homeomorphism. obtain ⟨u, hu, uf⟩ : ∃ u : E → F, LipschitzWith (lipschitzExtensionConstant F * c) u ∧ EqOn (f - ⇑f') u s := hf.lipschitzOnWith.extend_finite_dimension let g : E → F := fun x => f' x + u x have fg : EqOn f g s := fun x hx => by simp_rw [g, ← uf hx, Pi.sub_apply, add_sub_cancel] have hg : ApproximatesLinearOn g (f' : E →L[ℝ] F) univ (lipschitzExtensionConstant F * c) := by apply LipschitzOnWith.approximatesLinearOn rw [lipschitzOn_univ] convert hu ext x simp only [g, add_sub_cancel_left, ContinuousLinearEquiv.coe_coe, Pi.sub_apply] haveI : FiniteDimensional ℝ E := f'.symm.finiteDimensional exact ⟨hg.toHomeomorph g hc, fg⟩
16
import Mathlib.Data.List.Duplicate import Mathlib.Data.List.Sort #align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" namespace List variable {α : Type*} section Sublist theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ) (hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by induction' l with hd tl IH generalizing l' f · simp have : some hd = _ := hf 0 rw [eq_comm, List.get?_eq_some] at this obtain ⟨w, h⟩ := this let f' : ℕ ↪o ℕ := OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by dsimp only rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff] rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt] exact b.succ_pos have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by intro ix rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?] rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt] exact ix.succ_pos rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append] apply List.Sublist.append _ (IH _ this) rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)] apply List.get_mem #align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
Mathlib/Data/List/NodupEquivFin.lean
144
161
theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} : l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by
constructor · intro H induction' H with xs ys y _H IH xs ys x _H IH · simp · obtain ⟨f, hf⟩ := IH refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩ simpa using hf · obtain ⟨f, hf⟩ := IH refine ⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩ · rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff] · rintro ⟨_ | i⟩ · simp · simpa using hf _ · rintro ⟨f, hf⟩ exact sublist_of_orderEmbedding_get?_eq f hf
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import Mathlib.Data.Finsupp.Encodable import Mathlib.LinearAlgebra.Pi import Mathlib.LinearAlgebra.Span import Mathlib.Data.Set.Countable #align_import linear_algebra.finsupp from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" noncomputable section open Set LinearMap Submodule namespace Finsupp variable {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R : Type*} {S : Type*} variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] variable [AddCommMonoid N] [Module R N] variable [AddCommMonoid P] [Module R P] def lsingle (a : α) : M →ₗ[R] α →₀ M := { Finsupp.singleAddHom a with map_smul' := fun _ _ => (smul_single _ _ _).symm } #align finsupp.lsingle Finsupp.lsingle theorem lhom_ext ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) : φ = ψ := LinearMap.toAddMonoidHom_injective <| addHom_ext h #align finsupp.lhom_ext Finsupp.lhom_ext -- Porting note: The priority should be higher than `LinearMap.ext`. @[ext high] theorem lhom_ext' ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) : φ = ψ := lhom_ext fun a => LinearMap.congr_fun (h a) #align finsupp.lhom_ext' Finsupp.lhom_ext' def lapply (a : α) : (α →₀ M) →ₗ[R] M := { Finsupp.applyAddHom a with map_smul' := fun _ _ => rfl } #align finsupp.lapply Finsupp.lapply @[simps] def lcoeFun : (α →₀ M) →ₗ[R] α → M where toFun := (⇑) map_add' x y := by ext simp map_smul' x y := by ext simp #align finsupp.lcoe_fun Finsupp.lcoeFun @[simp] theorem lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] α →₀ M) b = single a b := rfl #align finsupp.lsingle_apply Finsupp.lsingle_apply @[simp] theorem lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a := rfl #align finsupp.lapply_apply Finsupp.lapply_apply @[simp] theorem lapply_comp_lsingle_same (a : α) : lapply a ∘ₗ lsingle a = (.id : M →ₗ[R] M) := by ext; simp @[simp] theorem lapply_comp_lsingle_of_ne (a a' : α) (h : a ≠ a') : lapply a ∘ₗ lsingle a' = (0 : M →ₗ[R] M) := by ext; simp [h.symm] @[simp] theorem ker_lsingle (a : α) : ker (lsingle a : M →ₗ[R] α →₀ M) = ⊥ := ker_eq_bot_of_injective (single_injective a) #align finsupp.ker_lsingle Finsupp.ker_lsingle theorem lsingle_range_le_ker_lapply (s t : Set α) (h : Disjoint s t) : ⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) ≤ ⨅ a ∈ t, ker (lapply a : (α →₀ M) →ₗ[R] M) := by refine iSup_le fun a₁ => iSup_le fun h₁ => range_le_iff_comap.2 ?_ simp only [(ker_comp _ _).symm, eq_top_iff, SetLike.le_def, mem_ker, comap_iInf, mem_iInf] intro b _ a₂ h₂ have : a₁ ≠ a₂ := fun eq => h.le_bot ⟨h₁, eq.symm ▸ h₂⟩ exact single_eq_of_ne this #align finsupp.lsingle_range_le_ker_lapply Finsupp.lsingle_range_le_ker_lapply theorem iInf_ker_lapply_le_bot : ⨅ a, ker (lapply a : (α →₀ M) →ₗ[R] M) ≤ ⊥ := by simp only [SetLike.le_def, mem_iInf, mem_ker, mem_bot, lapply_apply] exact fun a h => Finsupp.ext h #align finsupp.infi_ker_lapply_le_bot Finsupp.iInf_ker_lapply_le_bot theorem iSup_lsingle_range : ⨆ a, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) = ⊤ := by refine eq_top_iff.2 <| SetLike.le_def.2 fun f _ => ?_ rw [← sum_single f] exact sum_mem fun a _ => Submodule.mem_iSup_of_mem a ⟨_, rfl⟩ #align finsupp.supr_lsingle_range Finsupp.iSup_lsingle_range
Mathlib/LinearAlgebra/Finsupp.lean
266
284
theorem disjoint_lsingle_lsingle (s t : Set α) (hs : Disjoint s t) : Disjoint (⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M)) (⨆ a ∈ t, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M)) := by
-- Porting note: 2 placeholders are added to prevent timeout. refine (Disjoint.mono (lsingle_range_le_ker_lapply s sᶜ ?_) (lsingle_range_le_ker_lapply t tᶜ ?_)) ?_ · apply disjoint_compl_right · apply disjoint_compl_right rw [disjoint_iff_inf_le] refine le_trans (le_iInf fun i => ?_) iInf_ker_lapply_le_bot classical by_cases his : i ∈ s · by_cases hit : i ∈ t · exact (hs.le_bot ⟨his, hit⟩).elim exact inf_le_of_right_le (iInf_le_of_le i <| iInf_le _ hit) exact inf_le_of_left_le (iInf_le_of_le i <| iInf_le _ his)
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import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff import Mathlib.FieldTheory.Finite.Basic import Mathlib.Data.Matrix.CharP #align_import linear_algebra.matrix.charpoly.finite_field from "leanprover-community/mathlib"@"b95b8c7a484a298228805c72c142f6b062eb0d70" noncomputable section open Polynomial Matrix open scoped Polynomial variable {n : Type*} [DecidableEq n] [Fintype n] @[simp]
Mathlib/LinearAlgebra/Matrix/Charpoly/FiniteField.lean
26
43
theorem FiniteField.Matrix.charpoly_pow_card {K : Type*} [Field K] [Fintype K] (M : Matrix n n K) : (M ^ Fintype.card K).charpoly = M.charpoly := by
cases (isEmpty_or_nonempty n).symm · cases' CharP.exists K with p hp; letI := hp rcases FiniteField.card K p with ⟨⟨k, kpos⟩, ⟨hp, hk⟩⟩ haveI : Fact p.Prime := ⟨hp⟩ dsimp at hk; rw [hk] apply (frobenius_inj K[X] p).iterate k repeat' rw [iterate_frobenius (R := K[X])]; rw [← hk] rw [← FiniteField.expand_card] unfold charpoly rw [AlgHom.map_det, ← coe_detMonoidHom, ← (detMonoidHom : Matrix n n K[X] →* K[X]).map_pow] apply congr_arg det refine matPolyEquiv.injective ?_ rw [AlgEquiv.map_pow, matPolyEquiv_charmatrix, hk, sub_pow_char_pow_of_commute, ← C_pow] · exact (id (matPolyEquiv_eq_X_pow_sub_C (p ^ k) M) : _) · exact (C M).commute_X · exact congr_arg _ (Subsingleton.elim _ _)
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import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.RingTheory.LocalProperties #align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" -- Explicit universe annotations were used in this file to improve perfomance #12737 universe u open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop) namespace RingHom variable {P} theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _ (Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _ (X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _ (Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso, ← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r))) (X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff] congr delta IsLocalization.Away.map refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_ generalize_proofs haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r) -- Porting note: needs to be very explicit here convert (@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r)) _ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1 change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _ rw [f.val.c.naturality_assoc] simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp] congr 1 #align ring_hom.respects_iso.basic_open_iff RingHom.RespectsIso.basicOpen_iff theorem RespectsIso.basicOpen_iff_localization (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) : P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map f.op) r) := by refine (hP.basicOpen_iff _ _).trans ?_ -- Porting note: was a one line term mode proof, but this `dsimp` is vital so the term mode -- one liner is not possible dsimp rw [← hP.is_localization_away_iff] #align ring_hom.respects_iso.basic_open_iff_localization RingHom.RespectsIso.basicOpen_iff_localization @[deprecated (since := "2024-03-02")] alias RespectsIso.ofRestrict_morphismRestrict_iff_of_isAffine := RespectsIso.basicOpen_iff_localization theorem RespectsIso.ofRestrict_morphismRestrict_iff (hP : RingHom.RespectsIso @P) {X Y : Scheme.{u}} [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) (U : Opens X.carrier) (hU : IsAffineOpen U) {V : Opens _} (e : V = (Scheme.ιOpens <| f ⁻¹ᵁ Y.basicOpen r) ⁻¹ᵁ U) : P (Scheme.Γ.map (Scheme.ιOpens V ≫ f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map (Scheme.ιOpens U ≫ f).op) r) := by subst e refine (hP.cancel_right_isIso _ (Scheme.Γ.mapIso (Scheme.restrictRestrictComm _ _ _).op).inv).symm.trans ?_ haveI : IsAffine _ := hU rw [← hP.basicOpen_iff_localization, iff_iff_eq] congr 1 simp only [Functor.mapIso_inv, Iso.op_inv, ← Functor.map_comp, ← op_comp, morphismRestrict_comp] rw [← Category.assoc] congr 3 rw [← cancel_mono (Scheme.ιOpens _), Category.assoc, Scheme.restrictRestrictComm, IsOpenImmersion.isoOfRangeEq_inv_fac, morphismRestrict_ι] #align ring_hom.respects_iso.of_restrict_morphism_restrict_iff RingHom.RespectsIso.ofRestrict_morphismRestrict_iff
Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean
105
123
theorem StableUnderBaseChange.Γ_pullback_fst (hP : StableUnderBaseChange @P) (hP' : RespectsIso @P) {X Y S : Scheme} [IsAffine X] [IsAffine Y] [IsAffine S] (f : X ⟶ S) (g : Y ⟶ S) (H : P (Scheme.Γ.map g.op)) : P (Scheme.Γ.map (pullback.fst : pullback f g ⟶ _).op) := by
-- Porting note (#11224): change `rw` to `erw` erw [← PreservesPullback.iso_inv_fst AffineScheme.forgetToScheme (AffineScheme.ofHom f) (AffineScheme.ofHom g)] rw [op_comp, Functor.map_comp, hP'.cancel_right_isIso, AffineScheme.forgetToScheme_map] have := _root_.congr_arg Quiver.Hom.unop (PreservesPullback.iso_hom_fst AffineScheme.Γ.rightOp (AffineScheme.ofHom f) (AffineScheme.ofHom g)) simp only [Quiver.Hom.unop_op, Functor.rightOp_map, unop_comp] at this delta AffineScheme.Γ at this simp only [Quiver.Hom.unop_op, Functor.comp_map, AffineScheme.forgetToScheme_map, Functor.op_map] at this rw [← this, hP'.cancel_right_isIso, ← pushoutIsoUnopPullback_inl_hom (Quiver.Hom.unop _) (Quiver.Hom.unop _), hP'.cancel_right_isIso] exact hP.pushout_inl _ hP' _ _ H
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import Mathlib.Topology.Algebra.InfiniteSum.Group import Mathlib.Topology.Algebra.Nonarchimedean.Basic open Filter Topology namespace NonarchimedeanGroup variable {α G : Type*} variable [CommGroup G] [UniformSpace G] [UniformGroup G] [NonarchimedeanGroup G] @[to_additive "Let `G` be a nonarchimedean additive abelian group, and let `f : α → G` be a function that tends to zero on the filter of cofinite sets. For each finite subset of `α`, consider the partial sum of `f` on that subset. These partial sums form a Cauchy filter."]
Mathlib/Topology/Algebra/InfiniteSum/Nonarchimedean.lean
31
48
theorem cauchySeq_prod_of_tendsto_cofinite_one {f : α → G} (hf : Tendsto f cofinite (𝓝 1)) : CauchySeq (fun s ↦ ∏ i ∈ s, f i) := by
/- Let `U` be a neighborhood of `1`. It suffices to show that there exists `s : Finset α` such that for any `t : Finset α` disjoint from `s`, we have `∏ i ∈ t, f i ∈ U`. -/ apply cauchySeq_finset_iff_prod_vanishing.mpr intro U hU -- Since `G` is nonarchimedean, `U` contains an open subgroup `V`. rcases is_nonarchimedean U hU with ⟨V, hV⟩ /- Let `s` be the set of all indices `i : α` such that `f i ∉ V`. By our assumption `hf`, this is finite. -/ use (tendsto_def.mp hf V V.mem_nhds_one).toFinset /- For any `t : Finset α` disjoint from `s`, the product `∏ i ∈ t, f i` is a product of elements of `V`, so it is an element of `V` too. Thus, `∏ i ∈ t, f i ∈ U`, as desired. -/ intro t ht apply hV apply Subgroup.prod_mem intro i hi simpa using Finset.disjoint_left.mp ht hi
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import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Tactic.ComputeDegree #align_import data.polynomial.cancel_leads from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace Polynomial noncomputable section open Polynomial variable {R : Type*} section Ring variable [Ring R] (p q : R[X]) def cancelLeads : R[X] := C p.leadingCoeff * X ^ (p.natDegree - q.natDegree) * q - C q.leadingCoeff * X ^ (q.natDegree - p.natDegree) * p #align polynomial.cancel_leads Polynomial.cancelLeads variable {p q} @[simp] theorem neg_cancelLeads : -p.cancelLeads q = q.cancelLeads p := neg_sub _ _ #align polynomial.neg_cancel_leads Polynomial.neg_cancelLeads
Mathlib/Algebra/Polynomial/CancelLeads.lean
52
71
theorem natDegree_cancelLeads_lt_of_natDegree_le_natDegree_of_comm (comm : p.leadingCoeff * q.leadingCoeff = q.leadingCoeff * p.leadingCoeff) (h : p.natDegree ≤ q.natDegree) (hq : 0 < q.natDegree) : (p.cancelLeads q).natDegree < q.natDegree := by
by_cases hp : p = 0 · convert hq simp [hp, cancelLeads] rw [cancelLeads, sub_eq_add_neg, tsub_eq_zero_iff_le.mpr h, pow_zero, mul_one] by_cases h0 : C p.leadingCoeff * q + -(C q.leadingCoeff * X ^ (q.natDegree - p.natDegree) * p) = 0 · exact (le_of_eq (by simp only [h0, natDegree_zero])).trans_lt hq apply lt_of_le_of_ne · compute_degree! rwa [Nat.sub_add_cancel] · contrapose! h0 rw [← leadingCoeff_eq_zero, leadingCoeff, h0, mul_assoc, X_pow_mul, ← tsub_add_cancel_of_le h, add_comm _ p.natDegree] simp only [coeff_mul_X_pow, coeff_neg, coeff_C_mul, add_tsub_cancel_left, coeff_add] rw [add_comm p.natDegree, tsub_add_cancel_of_le h, ← leadingCoeff, ← leadingCoeff, comm, add_right_neg]
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import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
116
132
theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by
rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm
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import Mathlib.Analysis.NormedSpace.Multilinear.Basic import Mathlib.Analysis.NormedSpace.Units import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul #align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a" noncomputable section open Topology open Filter (Tendsto) open Metric ContinuousLinearMap variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends IsLinearMap 𝕜 f : Prop where bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖ #align is_bounded_linear_map IsBoundedLinearMap theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ) (h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f := ⟨hf, by_cases (fun (this : M ≤ 0) => ⟨1, zero_lt_one, fun x => (h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩) fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩ #align is_linear_map.with_bound IsLinearMap.with_bound theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f := { f.toLinearMap.isLinear with bound := f.bound } #align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap section variable {ι : Type*} [Fintype ι] theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] : IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G => p.1.prod p.2 where map_add p₁ p₂ := by ext : 1; rfl map_smul c p := by ext : 1; rfl bound := by refine ⟨1, zero_lt_one, fun p ↦ ?_⟩ rw [one_mul] apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _ intro m rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff] constructor · exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity) · exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity) #align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear
Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean
236
254
theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) : IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F => f.compContinuousLinearMap fun _ => g := by
refine IsLinearMap.with_bound ⟨fun f₁ f₂ => by ext; rfl, fun c f => by ext; rfl⟩ (‖g‖ ^ Fintype.card ι) fun f => ?_ apply ContinuousMultilinearMap.opNorm_le_bound _ _ _ · apply_rules [mul_nonneg, pow_nonneg, norm_nonneg] intro m calc ‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _ _ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by apply mul_le_mul_of_nonneg_left _ (norm_nonneg _) exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _ _ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ] ring
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import Mathlib.Algebra.IsPrimePow import Mathlib.NumberTheory.ArithmeticFunction import Mathlib.Analysis.SpecialFunctions.Log.Basic #align_import number_theory.von_mangoldt from "leanprover-community/mathlib"@"c946d6097a6925ad16d7ec55677bbc977f9846de" namespace ArithmeticFunction open Finset Nat open scoped ArithmeticFunction noncomputable def log : ArithmeticFunction ℝ := ⟨fun n => Real.log n, by simp⟩ #align nat.arithmetic_function.log ArithmeticFunction.log @[simp] theorem log_apply {n : ℕ} : log n = Real.log n := rfl #align nat.arithmetic_function.log_apply ArithmeticFunction.log_apply noncomputable def vonMangoldt : ArithmeticFunction ℝ := ⟨fun n => if IsPrimePow n then Real.log (minFac n) else 0, if_neg not_isPrimePow_zero⟩ #align nat.arithmetic_function.von_mangoldt ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction] notation "Λ" => ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction.vonMangoldt] notation "Λ" => ArithmeticFunction.vonMangoldt theorem vonMangoldt_apply {n : ℕ} : Λ n = if IsPrimePow n then Real.log (minFac n) else 0 := rfl #align nat.arithmetic_function.von_mangoldt_apply ArithmeticFunction.vonMangoldt_apply @[simp] theorem vonMangoldt_apply_one : Λ 1 = 0 := by simp [vonMangoldt_apply] #align nat.arithmetic_function.von_mangoldt_apply_one ArithmeticFunction.vonMangoldt_apply_one @[simp] theorem vonMangoldt_nonneg {n : ℕ} : 0 ≤ Λ n := by rw [vonMangoldt_apply] split_ifs · exact Real.log_nonneg (one_le_cast.2 (Nat.minFac_pos n)) rfl #align nat.arithmetic_function.von_mangoldt_nonneg ArithmeticFunction.vonMangoldt_nonneg theorem vonMangoldt_apply_pow {n k : ℕ} (hk : k ≠ 0) : Λ (n ^ k) = Λ n := by simp only [vonMangoldt_apply, isPrimePow_pow_iff hk, pow_minFac hk] #align nat.arithmetic_function.von_mangoldt_apply_pow ArithmeticFunction.vonMangoldt_apply_pow theorem vonMangoldt_apply_prime {p : ℕ} (hp : p.Prime) : Λ p = Real.log p := by rw [vonMangoldt_apply, Prime.minFac_eq hp, if_pos hp.prime.isPrimePow] #align nat.arithmetic_function.von_mangoldt_apply_prime ArithmeticFunction.vonMangoldt_apply_prime theorem vonMangoldt_ne_zero_iff {n : ℕ} : Λ n ≠ 0 ↔ IsPrimePow n := by rcases eq_or_ne n 1 with (rfl | hn); · simp [not_isPrimePow_one] exact (Real.log_pos (one_lt_cast.2 (minFac_prime hn).one_lt)).ne'.ite_ne_right_iff #align nat.arithmetic_function.von_mangoldt_ne_zero_iff ArithmeticFunction.vonMangoldt_ne_zero_iff theorem vonMangoldt_pos_iff {n : ℕ} : 0 < Λ n ↔ IsPrimePow n := vonMangoldt_nonneg.lt_iff_ne.trans (ne_comm.trans vonMangoldt_ne_zero_iff) #align nat.arithmetic_function.von_mangoldt_pos_iff ArithmeticFunction.vonMangoldt_pos_iff theorem vonMangoldt_eq_zero_iff {n : ℕ} : Λ n = 0 ↔ ¬IsPrimePow n := vonMangoldt_ne_zero_iff.not_right #align nat.arithmetic_function.von_mangoldt_eq_zero_iff ArithmeticFunction.vonMangoldt_eq_zero_iff theorem vonMangoldt_sum {n : ℕ} : ∑ i ∈ n.divisors, Λ i = Real.log n := by refine recOnPrimeCoprime ?_ ?_ ?_ n · simp · intro p k hp rw [sum_divisors_prime_pow hp, cast_pow, Real.log_pow, Finset.sum_range_succ', Nat.pow_zero, vonMangoldt_apply_one] simp [vonMangoldt_apply_pow (Nat.succ_ne_zero _), vonMangoldt_apply_prime hp] intro a b ha' hb' hab ha hb simp only [vonMangoldt_apply, ← sum_filter] at ha hb ⊢ rw [mul_divisors_filter_prime_pow hab, filter_union, sum_union (disjoint_divisors_filter_isPrimePow hab), ha, hb, Nat.cast_mul, Real.log_mul (cast_ne_zero.2 (pos_of_gt ha').ne') (cast_ne_zero.2 (pos_of_gt hb').ne')] #align nat.arithmetic_function.von_mangoldt_sum ArithmeticFunction.vonMangoldt_sum @[simp] theorem vonMangoldt_mul_zeta : Λ * ζ = log := by ext n; rw [coe_mul_zeta_apply, vonMangoldt_sum]; rfl #align nat.arithmetic_function.von_mangoldt_mul_zeta ArithmeticFunction.vonMangoldt_mul_zeta @[simp] theorem zeta_mul_vonMangoldt : (ζ : ArithmeticFunction ℝ) * Λ = log := by rw [mul_comm]; simp #align nat.arithmetic_function.zeta_mul_von_mangoldt ArithmeticFunction.zeta_mul_vonMangoldt @[simp] theorem log_mul_moebius_eq_vonMangoldt : log * μ = Λ := by rw [← vonMangoldt_mul_zeta, mul_assoc, coe_zeta_mul_coe_moebius, mul_one] #align nat.arithmetic_function.log_mul_moebius_eq_von_mangoldt ArithmeticFunction.log_mul_moebius_eq_vonMangoldt @[simp] theorem moebius_mul_log_eq_vonMangoldt : (μ : ArithmeticFunction ℝ) * log = Λ := by rw [mul_comm]; simp #align nat.arithmetic_function.moebius_mul_log_eq_von_mangoldt ArithmeticFunction.moebius_mul_log_eq_vonMangoldt
Mathlib/NumberTheory/VonMangoldt.lean
144
160
theorem sum_moebius_mul_log_eq {n : ℕ} : (∑ d ∈ n.divisors, (μ d : ℝ) * log d) = -Λ n := by
simp only [← log_mul_moebius_eq_vonMangoldt, mul_comm log, mul_apply, log_apply, intCoe_apply, ← Finset.sum_neg_distrib, neg_mul_eq_mul_neg] rw [sum_divisorsAntidiagonal fun i j => (μ i : ℝ) * -Real.log j] have : (∑ i ∈ n.divisors, (μ i : ℝ) * -Real.log (n / i : ℕ)) = ∑ i ∈ n.divisors, ((μ i : ℝ) * Real.log i - μ i * Real.log n) := by apply sum_congr rfl simp only [and_imp, Int.cast_eq_zero, mul_eq_mul_left_iff, Ne, neg_inj, mem_divisors] intro m mn hn have : (m : ℝ) ≠ 0 := by rw [cast_ne_zero] rintro rfl exact hn (by simpa using mn) rw [Nat.cast_div mn this, Real.log_div (cast_ne_zero.2 hn) this, neg_sub, mul_sub] rw [this, sum_sub_distrib, ← sum_mul, ← Int.cast_sum, ← coe_mul_zeta_apply, eq_comm, sub_eq_self, moebius_mul_coe_zeta] rcases eq_or_ne n 1 with (hn | hn) <;> simp [hn]
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import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Dynamics.BirkhoffSum.NormedSpace open Filter Finset Function Bornology open scoped Topology variable {𝕜 E : Type*} [RCLike 𝕜] [NormedAddCommGroup E] theorem LinearMap.tendsto_birkhoffAverage_of_ker_subset_closure [NormedSpace 𝕜 E] (f : E →ₗ[𝕜] E) (hf : LipschitzWith 1 f) (g : E →L[𝕜] LinearMap.eqLocus f 1) (hg_proj : ∀ x : LinearMap.eqLocus f 1, g x = x) (hg_ker : (LinearMap.ker g : Set E) ⊆ closure (LinearMap.range (f - 1))) (x : E) : Tendsto (birkhoffAverage 𝕜 f _root_.id · x) atTop (𝓝 (g x)) := by obtain ⟨y, hy, z, hz, rfl⟩ : ∃ y, g y = 0 ∧ ∃ z, IsFixedPt f z ∧ x = y + z := ⟨x - g x, by simp [hg_proj], g x, (g x).2, by simp⟩ suffices Tendsto (birkhoffAverage 𝕜 f _root_.id · y) atTop (𝓝 0) by have hgz : g z = z := congr_arg Subtype.val (hg_proj ⟨z, hz⟩) simpa [hy, hgz, birkhoffAverage, birkhoffSum, Finset.sum_add_distrib, smul_add] using this.add (hz.tendsto_birkhoffAverage 𝕜 _root_.id) have : IsClosed {x | Tendsto (birkhoffAverage 𝕜 f _root_.id · x) atTop (𝓝 0)} := isClosed_setOf_tendsto_birkhoffAverage 𝕜 hf uniformContinuous_id continuous_const refine closure_minimal (Set.forall_mem_range.2 fun x ↦ ?_) this (hg_ker hy) have : IsBounded (Set.range (_root_.id <| f^[·] x)) := isBounded_iff_forall_norm_le.2 ⟨‖x‖, Set.forall_mem_range.2 fun n ↦ by have H : f^[n] 0 = 0 := iterate_map_zero (f : E →+ E) n simpa [H] using (hf.iterate n).dist_le_mul x 0⟩ have H : ∀ n x y, f^[n] (x - y) = f^[n] x - f^[n] y := iterate_map_sub (f : E →+ E) simpa [birkhoffAverage, birkhoffSum, Finset.sum_sub_distrib, smul_sub, H] using tendsto_birkhoffAverage_apply_sub_birkhoffAverage 𝕜 this variable [InnerProductSpace 𝕜 E] [CompleteSpace E] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
Mathlib/Analysis/InnerProductSpace/MeanErgodic.lean
84
103
theorem ContinuousLinearMap.tendsto_birkhoffAverage_orthogonalProjection (f : E →L[𝕜] E) (hf : ‖f‖ ≤ 1) (x : E) : Tendsto (birkhoffAverage 𝕜 f _root_.id · x) atTop (𝓝 <| orthogonalProjection (LinearMap.eqLocus f 1) x) := by
/- Due to the previous theorem, it suffices to verify that the range of `f - 1` is dense in the orthogonal complement to the submodule of fixed points of `f`. -/ apply (f : E →ₗ[𝕜] E).tendsto_birkhoffAverage_of_ker_subset_closure (f.lipschitz.weaken hf) · exact orthogonalProjection_mem_subspace_eq_self (K := LinearMap.eqLocus f 1) · clear x /- In other words, we need to verify that any vector that is orthogonal to the range of `f - 1` is a fixed point of `f`. -/ rw [ker_orthogonalProjection, ← Submodule.topologicalClosure_coe, SetLike.coe_subset_coe, ← Submodule.orthogonal_orthogonal_eq_closure] /- To verify this, we verify `‖f x‖ ≤ ‖x‖` (because `‖f‖ ≤ 1`) and `⟪f x, x⟫ = ‖x‖²`. -/ refine Submodule.orthogonal_le fun x hx ↦ eq_of_norm_le_re_inner_eq_norm_sq (𝕜 := 𝕜) ?_ ?_ · simpa using f.le_of_opNorm_le hf x · have : ∀ y, ⟪f y, x⟫ = ⟪y, x⟫ := by simpa [Submodule.mem_orthogonal, inner_sub_left, sub_eq_zero] using hx simp [this, ← norm_sq_eq_inner]
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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 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⟩ theorem le_lfpApprox {a : Ordinal} : x ≤ lfpApprox f x a := by unfold lfpApprox apply le_sSup simp only [exists_prop, Set.union_singleton, Set.mem_insert_iff, Set.mem_setOf_eq, true_or] theorem lfpApprox_add_one (h : x ≤ f x) (a : Ordinal) : lfpApprox f x (a+1) = f (lfpApprox f x a) := by apply le_antisymm · conv => left; unfold lfpApprox apply sSup_le simp only [Ordinal.add_one_eq_succ, lt_succ_iff, exists_prop, Set.union_singleton, Set.mem_insert_iff, Set.mem_setOf_eq, forall_eq_or_imp, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] apply And.intro · apply le_trans h apply Monotone.imp f.monotone exact le_lfpApprox f x · intros a' h apply f.2; apply lfpApprox_monotone; exact h · conv => right; unfold lfpApprox apply le_sSup simp only [Ordinal.add_one_eq_succ, lt_succ_iff, exists_prop] rw [Set.mem_union] apply Or.inl simp only [Set.mem_setOf_eq] use a
Mathlib/SetTheory/Ordinal/FixedPointApproximants.lean
116
133
theorem lfpApprox_eq_of_mem_fixedPoints {a b : Ordinal} (h_init : x ≤ f x) (h_ab : a ≤ b) (h: lfpApprox f x a ∈ fixedPoints f) : lfpApprox f x b = lfpApprox f x a := by
rw [mem_fixedPoints_iff] at h induction b using Ordinal.induction with | h b IH => apply le_antisymm · conv => left; unfold lfpApprox apply sSup_le simp only [exists_prop, Set.union_singleton, Set.mem_insert_iff, Set.mem_setOf_eq, forall_eq_or_imp, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] apply And.intro (le_lfpApprox f x) intro a' ha'b by_cases haa : a' < a · rw [← lfpApprox_add_one f x h_init] apply lfpApprox_monotone simp only [Ordinal.add_one_eq_succ, succ_le_iff] exact haa · rw [IH a' ha'b (le_of_not_lt haa), h] · exact lfpApprox_monotone f x h_ab
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import Mathlib.Probability.Martingale.Upcrossing import Mathlib.MeasureTheory.Function.UniformIntegrable import Mathlib.MeasureTheory.Constructions.Polish #align_import probability.martingale.convergence from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open TopologicalSpace Filter MeasureTheory.Filtration open scoped NNReal ENNReal MeasureTheory ProbabilityTheory Topology namespace MeasureTheory variable {Ω ι : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} {ℱ : Filtration ℕ m0} variable {a b : ℝ} {f : ℕ → Ω → ℝ} {ω : Ω} {R : ℝ≥0} section AeConvergence
Mathlib/Probability/Martingale/Convergence.lean
110
127
theorem not_frequently_of_upcrossings_lt_top (hab : a < b) (hω : upcrossings a b f ω ≠ ∞) : ¬((∃ᶠ n in atTop, f n ω < a) ∧ ∃ᶠ n in atTop, b < f n ω) := by
rw [← lt_top_iff_ne_top, upcrossings_lt_top_iff] at hω replace hω : ∃ k, ∀ N, upcrossingsBefore a b f N ω < k := by obtain ⟨k, hk⟩ := hω exact ⟨k + 1, fun N => lt_of_le_of_lt (hk N) k.lt_succ_self⟩ rintro ⟨h₁, h₂⟩ rw [frequently_atTop] at h₁ h₂ refine Classical.not_not.2 hω ?_ push_neg intro k induction' k with k ih · simp only [Nat.zero_eq, zero_le, exists_const] · obtain ⟨N, hN⟩ := ih obtain ⟨N₁, hN₁, hN₁'⟩ := h₁ N obtain ⟨N₂, hN₂, hN₂'⟩ := h₂ N₁ exact ⟨N₂ + 1, Nat.succ_le_of_lt <| lt_of_le_of_lt hN (upcrossingsBefore_lt_of_exists_upcrossing hab hN₁ hN₁' hN₂ hN₂')⟩
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import Mathlib.Combinatorics.Quiver.Basic #align_import combinatorics.quiver.push from "leanprover-community/mathlib"@"2258b40dacd2942571c8ce136215350c702dc78f" namespace Quiver universe v v₁ v₂ u u₁ u₂ variable {V : Type*} [Quiver V] {W : Type*} (σ : V → W) @[nolint unusedArguments] def Push (_ : V → W) := W #align quiver.push Quiver.Push instance [h : Nonempty W] : Nonempty (Push σ) := h inductive PushQuiver {V : Type u} [Quiver.{v} V] {W : Type u₂} (σ : V → W) : W → W → Type max u u₂ v | arrow {X Y : V} (f : X ⟶ Y) : PushQuiver σ (σ X) (σ Y) #align quiver.push_quiver Quiver.PushQuiver instance : Quiver (Push σ) := ⟨PushQuiver σ⟩ namespace Push def of : V ⥤q Push σ where obj := σ map f := PushQuiver.arrow f #align quiver.push.of Quiver.Push.of @[simp] theorem of_obj : (of σ).obj = σ := rfl #align quiver.push.of_obj Quiver.Push.of_obj variable {W' : Type*} [Quiver W'] (φ : V ⥤q W') (τ : W → W') (h : ∀ x, φ.obj x = τ (σ x)) noncomputable def lift : Push σ ⥤q W' where obj := τ map := @PushQuiver.rec V _ W σ (fun X Y _ => τ X ⟶ τ Y) @fun X Y f => by dsimp only rw [← h X, ← h Y] exact φ.map f #align quiver.push.lift Quiver.Push.lift theorem lift_obj : (lift σ φ τ h).obj = τ := rfl #align quiver.push.lift_obj Quiver.Push.lift_obj
Mathlib/Combinatorics/Quiver/Push.lean
73
89
theorem lift_comp : (of σ ⋙q lift σ φ τ h) = φ := by
fapply Prefunctor.ext · rintro X simp only [Prefunctor.comp_obj] apply Eq.symm exact h X · rintro X Y f simp only [Prefunctor.comp_map] apply eq_of_heq iterate 2 apply (cast_heq _ _).trans apply HEq.symm apply (eqRec_heq _ _).trans have : ∀ {α γ} {β : α → γ → Sort _} {a a'} (p : a = a') g (b : β a g), HEq (p ▸ b) b := by intros subst_vars rfl apply this
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import Mathlib.GroupTheory.Solvable import Mathlib.FieldTheory.PolynomialGaloisGroup import Mathlib.RingTheory.RootsOfUnity.Basic #align_import field_theory.abel_ruffini from "leanprover-community/mathlib"@"e3f4be1fcb5376c4948d7f095bec45350bfb9d1a" noncomputable section open scoped Classical Polynomial IntermediateField open Polynomial IntermediateField section AbelRuffini variable {F : Type*} [Field F] {E : Type*} [Field E] [Algebra F E] theorem gal_zero_isSolvable : IsSolvable (0 : F[X]).Gal := by infer_instance #align gal_zero_is_solvable gal_zero_isSolvable theorem gal_one_isSolvable : IsSolvable (1 : F[X]).Gal := by infer_instance #align gal_one_is_solvable gal_one_isSolvable theorem gal_C_isSolvable (x : F) : IsSolvable (C x).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_C_is_solvable gal_C_isSolvable theorem gal_X_isSolvable : IsSolvable (X : F[X]).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_is_solvable gal_X_isSolvable theorem gal_X_sub_C_isSolvable (x : F) : IsSolvable (X - C x).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_sub_C_is_solvable gal_X_sub_C_isSolvable theorem gal_X_pow_isSolvable (n : ℕ) : IsSolvable (X ^ n : F[X]).Gal := by infer_instance set_option linter.uppercaseLean3 false in #align gal_X_pow_is_solvable gal_X_pow_isSolvable theorem gal_mul_isSolvable {p q : F[X]} (_ : IsSolvable p.Gal) (_ : IsSolvable q.Gal) : IsSolvable (p * q).Gal := solvable_of_solvable_injective (Gal.restrictProd_injective p q) #align gal_mul_is_solvable gal_mul_isSolvable theorem gal_prod_isSolvable {s : Multiset F[X]} (hs : ∀ p ∈ s, IsSolvable (Gal p)) : IsSolvable s.prod.Gal := by apply Multiset.induction_on' s · exact gal_one_isSolvable · intro p t hps _ ht rw [Multiset.insert_eq_cons, Multiset.prod_cons] exact gal_mul_isSolvable (hs p hps) ht #align gal_prod_is_solvable gal_prod_isSolvable theorem gal_isSolvable_of_splits {p q : F[X]} (_ : Fact (p.Splits (algebraMap F q.SplittingField))) (hq : IsSolvable q.Gal) : IsSolvable p.Gal := haveI : IsSolvable (q.SplittingField ≃ₐ[F] q.SplittingField) := hq solvable_of_surjective (AlgEquiv.restrictNormalHom_surjective q.SplittingField) #align gal_is_solvable_of_splits gal_isSolvable_of_splits theorem gal_isSolvable_tower (p q : F[X]) (hpq : p.Splits (algebraMap F q.SplittingField)) (hp : IsSolvable p.Gal) (hq : IsSolvable (q.map (algebraMap F p.SplittingField)).Gal) : IsSolvable q.Gal := by let K := p.SplittingField let L := q.SplittingField haveI : Fact (p.Splits (algebraMap F L)) := ⟨hpq⟩ let ϕ : (L ≃ₐ[K] L) ≃* (q.map (algebraMap F K)).Gal := (IsSplittingField.algEquiv L (q.map (algebraMap F K))).autCongr have ϕ_inj : Function.Injective ϕ.toMonoidHom := ϕ.injective haveI : IsSolvable (K ≃ₐ[F] K) := hp haveI : IsSolvable (L ≃ₐ[K] L) := solvable_of_solvable_injective ϕ_inj exact isSolvable_of_isScalarTower F p.SplittingField q.SplittingField #align gal_is_solvable_tower gal_isSolvable_tower section GalXPowSubC
Mathlib/FieldTheory/AbelRuffini.lean
98
114
theorem gal_X_pow_sub_one_isSolvable (n : ℕ) : IsSolvable (X ^ n - 1 : F[X]).Gal := by
by_cases hn : n = 0 · rw [hn, pow_zero, sub_self] exact gal_zero_isSolvable have hn' : 0 < n := pos_iff_ne_zero.mpr hn have hn'' : (X ^ n - 1 : F[X]) ≠ 0 := X_pow_sub_C_ne_zero hn' 1 apply isSolvable_of_comm intro σ τ ext a ha simp only [mem_rootSet_of_ne hn'', map_sub, aeval_X_pow, aeval_one, sub_eq_zero] at ha have key : ∀ σ : (X ^ n - 1 : F[X]).Gal, ∃ m : ℕ, σ a = a ^ m := by intro σ lift n to ℕ+ using hn' exact map_rootsOfUnity_eq_pow_self σ.toAlgHom (rootsOfUnity.mkOfPowEq a ha) obtain ⟨c, hc⟩ := key σ obtain ⟨d, hd⟩ := key τ rw [σ.mul_apply, τ.mul_apply, hc, τ.map_pow, hd, σ.map_pow, hc, ← pow_mul, pow_mul']
16
import Mathlib.Init.Data.Sigma.Lex import Mathlib.Data.Prod.Lex import Mathlib.Data.Sigma.Lex import Mathlib.Order.Antichain import Mathlib.Order.OrderIsoNat import Mathlib.Order.WellFounded import Mathlib.Tactic.TFAE #align_import order.well_founded_set from "leanprover-community/mathlib"@"2c84c2c5496117349007d97104e7bbb471381592" variable {ι α β γ : Type*} {π : ι → Type*} namespace Set def WellFoundedOn (s : Set α) (r : α → α → Prop) : Prop := WellFounded fun a b : s => r a b #align set.well_founded_on Set.WellFoundedOn @[simp] theorem wellFoundedOn_empty (r : α → α → Prop) : WellFoundedOn ∅ r := wellFounded_of_isEmpty _ #align set.well_founded_on_empty Set.wellFoundedOn_empty def PartiallyWellOrderedOn (s : Set α) (r : α → α → Prop) : Prop := ∀ f : ℕ → α, (∀ n, f n ∈ s) → ∃ m n : ℕ, m < n ∧ r (f m) (f n) #align set.partially_well_ordered_on Set.PartiallyWellOrderedOn section PartiallyWellOrderedOn variable {r : α → α → Prop} {r' : β → β → Prop} {f : α → β} {s : Set α} {t : Set α} {a : α} theorem PartiallyWellOrderedOn.mono (ht : t.PartiallyWellOrderedOn r) (h : s ⊆ t) : s.PartiallyWellOrderedOn r := fun f hf => ht f fun n => h <| hf n #align set.partially_well_ordered_on.mono Set.PartiallyWellOrderedOn.mono @[simp] theorem partiallyWellOrderedOn_empty (r : α → α → Prop) : PartiallyWellOrderedOn ∅ r := fun _ h => (h 0).elim #align set.partially_well_ordered_on_empty Set.partiallyWellOrderedOn_empty theorem PartiallyWellOrderedOn.union (hs : s.PartiallyWellOrderedOn r) (ht : t.PartiallyWellOrderedOn r) : (s ∪ t).PartiallyWellOrderedOn r := by rintro f hf rcases Nat.exists_subseq_of_forall_mem_union f hf with ⟨g, hgs | hgt⟩ · rcases hs _ hgs with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ · rcases ht _ hgt with ⟨m, n, hlt, hr⟩ exact ⟨g m, g n, g.strictMono hlt, hr⟩ #align set.partially_well_ordered_on.union Set.PartiallyWellOrderedOn.union @[simp] theorem partiallyWellOrderedOn_union : (s ∪ t).PartiallyWellOrderedOn r ↔ s.PartiallyWellOrderedOn r ∧ t.PartiallyWellOrderedOn r := ⟨fun h => ⟨h.mono subset_union_left, h.mono subset_union_right⟩, fun h => h.1.union h.2⟩ #align set.partially_well_ordered_on_union Set.partiallyWellOrderedOn_union theorem PartiallyWellOrderedOn.image_of_monotone_on (hs : s.PartiallyWellOrderedOn r) (hf : ∀ a₁ ∈ s, ∀ a₂ ∈ s, r a₁ a₂ → r' (f a₁) (f a₂)) : (f '' s).PartiallyWellOrderedOn r' := by intro g' hg' choose g hgs heq using hg' obtain rfl : f ∘ g = g' := funext heq obtain ⟨m, n, hlt, hmn⟩ := hs g hgs exact ⟨m, n, hlt, hf _ (hgs m) _ (hgs n) hmn⟩ #align set.partially_well_ordered_on.image_of_monotone_on Set.PartiallyWellOrderedOn.image_of_monotone_on theorem _root_.IsAntichain.finite_of_partiallyWellOrderedOn (ha : IsAntichain r s) (hp : s.PartiallyWellOrderedOn r) : s.Finite := by refine not_infinite.1 fun hi => ?_ obtain ⟨m, n, hmn, h⟩ := hp (fun n => hi.natEmbedding _ n) fun n => (hi.natEmbedding _ n).2 exact hmn.ne ((hi.natEmbedding _).injective <| Subtype.val_injective <| ha.eq (hi.natEmbedding _ m).2 (hi.natEmbedding _ n).2 h) #align is_antichain.finite_of_partially_well_ordered_on IsAntichain.finite_of_partiallyWellOrderedOn section IsRefl variable [IsRefl α r] protected theorem Finite.partiallyWellOrderedOn (hs : s.Finite) : s.PartiallyWellOrderedOn r := by intro f hf obtain ⟨m, n, hmn, h⟩ := hs.exists_lt_map_eq_of_forall_mem hf exact ⟨m, n, hmn, h.subst <| refl (f m)⟩ #align set.finite.partially_well_ordered_on Set.Finite.partiallyWellOrderedOn theorem _root_.IsAntichain.partiallyWellOrderedOn_iff (hs : IsAntichain r s) : s.PartiallyWellOrderedOn r ↔ s.Finite := ⟨hs.finite_of_partiallyWellOrderedOn, Finite.partiallyWellOrderedOn⟩ #align is_antichain.partially_well_ordered_on_iff IsAntichain.partiallyWellOrderedOn_iff @[simp] theorem partiallyWellOrderedOn_singleton (a : α) : PartiallyWellOrderedOn {a} r := (finite_singleton a).partiallyWellOrderedOn #align set.partially_well_ordered_on_singleton Set.partiallyWellOrderedOn_singleton @[nontriviality] theorem Subsingleton.partiallyWellOrderedOn (hs : s.Subsingleton) : PartiallyWellOrderedOn s r := hs.finite.partiallyWellOrderedOn @[simp] theorem partiallyWellOrderedOn_insert : PartiallyWellOrderedOn (insert a s) r ↔ PartiallyWellOrderedOn s r := by simp only [← singleton_union, partiallyWellOrderedOn_union, partiallyWellOrderedOn_singleton, true_and_iff] #align set.partially_well_ordered_on_insert Set.partiallyWellOrderedOn_insert protected theorem PartiallyWellOrderedOn.insert (h : PartiallyWellOrderedOn s r) (a : α) : PartiallyWellOrderedOn (insert a s) r := partiallyWellOrderedOn_insert.2 h #align set.partially_well_ordered_on.insert Set.PartiallyWellOrderedOn.insert
Mathlib/Order/WellFoundedSet.lean
356
373
theorem partiallyWellOrderedOn_iff_finite_antichains [IsSymm α r] : s.PartiallyWellOrderedOn r ↔ ∀ t, t ⊆ s → IsAntichain r t → t.Finite := by
refine ⟨fun h t ht hrt => hrt.finite_of_partiallyWellOrderedOn (h.mono ht), ?_⟩ rintro hs f hf by_contra! H refine infinite_range_of_injective (fun m n hmn => ?_) (hs _ (range_subset_iff.2 hf) ?_) · obtain h | h | h := lt_trichotomy m n · refine (H _ _ h ?_).elim rw [hmn] exact refl _ · exact h · refine (H _ _ h ?_).elim rw [hmn] exact refl _ rintro _ ⟨m, hm, rfl⟩ _ ⟨n, hn, rfl⟩ hmn obtain h | h := (ne_of_apply_ne _ hmn).lt_or_lt · exact H _ _ h · exact mt symm (H _ _ h)
16
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Field.Rat import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Field.Rat import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.lym from "leanprover-community/mathlib"@"861a26926586cd46ff80264d121cdb6fa0e35cc1" open Finset Nat open FinsetFamily variable {𝕜 α : Type*} [LinearOrderedField 𝕜] namespace Finset section LocalLYM variable [DecidableEq α] [Fintype α] {𝒜 : Finset (Finset α)} {r : ℕ} theorem card_mul_le_card_shadow_mul (h𝒜 : (𝒜 : Set (Finset α)).Sized r) : 𝒜.card * r ≤ (∂ 𝒜).card * (Fintype.card α - r + 1) := by let i : DecidableRel ((· ⊆ ·) : Finset α → Finset α → Prop) := fun _ _ => Classical.dec _ refine card_mul_le_card_mul' (· ⊆ ·) (fun s hs => ?_) (fun s hs => ?_) · rw [← h𝒜 hs, ← card_image_of_injOn s.erase_injOn] refine card_le_card ?_ simp_rw [image_subset_iff, mem_bipartiteBelow] exact fun a ha => ⟨erase_mem_shadow hs ha, erase_subset _ _⟩ refine le_trans ?_ tsub_tsub_le_tsub_add rw [← (Set.Sized.shadow h𝒜) hs, ← card_compl, ← card_image_of_injOn (insert_inj_on' _)] refine card_le_card fun t ht => ?_ -- Porting note: commented out the following line -- infer_instance rw [mem_bipartiteAbove] at ht have : ∅ ∉ 𝒜 := by rw [← mem_coe, h𝒜.empty_mem_iff, coe_eq_singleton] rintro rfl rw [shadow_singleton_empty] at hs exact not_mem_empty s hs have h := exists_eq_insert_iff.2 ⟨ht.2, by rw [(sized_shadow_iff this).1 (Set.Sized.shadow h𝒜) ht.1, (Set.Sized.shadow h𝒜) hs]⟩ rcases h with ⟨a, ha, rfl⟩ exact mem_image_of_mem _ (mem_compl.2 ha) #align finset.card_mul_le_card_shadow_mul Finset.card_mul_le_card_shadow_mul
Mathlib/Combinatorics/SetFamily/LYM.lean
92
110
theorem card_div_choose_le_card_shadow_div_choose (hr : r ≠ 0) (h𝒜 : (𝒜 : Set (Finset α)).Sized r) : (𝒜.card : 𝕜) / (Fintype.card α).choose r ≤ (∂ 𝒜).card / (Fintype.card α).choose (r - 1) := by
obtain hr' | hr' := lt_or_le (Fintype.card α) r · rw [choose_eq_zero_of_lt hr', cast_zero, div_zero] exact div_nonneg (cast_nonneg _) (cast_nonneg _) replace h𝒜 := card_mul_le_card_shadow_mul h𝒜 rw [div_le_div_iff] <;> norm_cast · cases' r with r · exact (hr rfl).elim rw [tsub_add_eq_add_tsub hr', add_tsub_add_eq_tsub_right] at h𝒜 apply le_of_mul_le_mul_right _ (pos_iff_ne_zero.2 hr) convert Nat.mul_le_mul_right ((Fintype.card α).choose r) h𝒜 using 1 · simp [mul_assoc, Nat.choose_succ_right_eq] exact Or.inl (mul_comm _ _) · simp only [mul_assoc, choose_succ_right_eq, mul_eq_mul_left_iff] exact Or.inl (mul_comm _ _) · exact Nat.choose_pos hr' · exact Nat.choose_pos (r.pred_le.trans hr')
16
import Mathlib.Algebra.Polynomial.Basic #align_import data.polynomial.monomial from "leanprover-community/mathlib"@"220f71ba506c8958c9b41bd82226b3d06b0991e8" noncomputable section namespace Polynomial open Polynomial universe u variable {R : Type u} {a b : R} {m n : ℕ} variable [Semiring R] {p q r : R[X]} theorem monomial_one_eq_iff [Nontrivial R] {i j : ℕ} : (monomial i 1 : R[X]) = monomial j 1 ↔ i = j := by -- Porting note: `ofFinsupp.injEq` is required. simp_rw [← ofFinsupp_single, ofFinsupp.injEq] exact AddMonoidAlgebra.of_injective.eq_iff #align polynomial.monomial_one_eq_iff Polynomial.monomial_one_eq_iff instance infinite [Nontrivial R] : Infinite R[X] := Infinite.of_injective (fun i => monomial i 1) fun m n h => by simpa [monomial_one_eq_iff] using h #align polynomial.infinite Polynomial.infinite
Mathlib/Algebra/Polynomial/Monomial.lean
39
56
theorem card_support_le_one_iff_monomial {f : R[X]} : Finset.card f.support ≤ 1 ↔ ∃ n a, f = monomial n a := by
constructor · intro H rw [Finset.card_le_one_iff_subset_singleton] at H rcases H with ⟨n, hn⟩ refine ⟨n, f.coeff n, ?_⟩ ext i by_cases hi : i = n · simp [hi, coeff_monomial] · have : f.coeff i = 0 := by rw [← not_mem_support_iff] exact fun hi' => hi (Finset.mem_singleton.1 (hn hi')) simp [this, Ne.symm hi, coeff_monomial] · rintro ⟨n, a, rfl⟩ rw [← Finset.card_singleton n] apply Finset.card_le_card exact support_monomial' _ _
16
import Mathlib.CategoryTheory.Filtered.Basic import Mathlib.Topology.Category.TopCat.Limits.Basic #align_import topology.category.Top.limits.konig from "leanprover-community/mathlib"@"dbdf71cee7bb20367cb7e37279c08b0c218cf967" -- Porting note: every ML3 decl has an uppercase letter set_option linter.uppercaseLean3 false open CategoryTheory open CategoryTheory.Limits -- Porting note: changed universe order as `v` is usually passed explicitly universe v u w noncomputable section namespace TopCat section TopologicalKonig variable {J : Type u} [SmallCategory J] -- Porting note: generalized `F` to land in `v` not `u` variable (F : J ⥤ TopCat.{v}) private abbrev FiniteDiagramArrow {J : Type u} [SmallCategory J] (G : Finset J) := Σ' (X Y : J) (_ : X ∈ G) (_ : Y ∈ G), X ⟶ Y private abbrev FiniteDiagram (J : Type u) [SmallCategory J] := Σ G : Finset J, Finset (FiniteDiagramArrow G) -- Porting note: generalized `F` to land in `v` not `u` def partialSections {J : Type u} [SmallCategory J] (F : J ⥤ TopCat.{v}) {G : Finset J} (H : Finset (FiniteDiagramArrow G)) : Set (∀ j, F.obj j) := {u | ∀ {f : FiniteDiagramArrow G} (_ : f ∈ H), F.map f.2.2.2.2 (u f.1) = u f.2.1} #align Top.partial_sections TopCat.partialSections theorem partialSections.nonempty [IsCofilteredOrEmpty J] [h : ∀ j : J, Nonempty (F.obj j)] {G : Finset J} (H : Finset (FiniteDiagramArrow G)) : (partialSections F H).Nonempty := by classical cases isEmpty_or_nonempty J · exact ⟨isEmptyElim, fun {j} => IsEmpty.elim' inferInstance j.1⟩ haveI : IsCofiltered J := ⟨⟩ use fun j : J => if hj : j ∈ G then F.map (IsCofiltered.infTo G H hj) (h (IsCofiltered.inf G H)).some else (h _).some rintro ⟨X, Y, hX, hY, f⟩ hf dsimp only rwa [dif_pos hX, dif_pos hY, ← comp_app, ← F.map_comp, @IsCofiltered.infTo_commutes _ _ _ G H] #align Top.partial_sections.nonempty TopCat.partialSections.nonempty theorem partialSections.directed : Directed Superset fun G : FiniteDiagram J => partialSections F G.2 := by classical intro A B let ιA : FiniteDiagramArrow A.1 → FiniteDiagramArrow (A.1 ⊔ B.1) := fun f => ⟨f.1, f.2.1, Finset.mem_union_left _ f.2.2.1, Finset.mem_union_left _ f.2.2.2.1, f.2.2.2.2⟩ let ιB : FiniteDiagramArrow B.1 → FiniteDiagramArrow (A.1 ⊔ B.1) := fun f => ⟨f.1, f.2.1, Finset.mem_union_right _ f.2.2.1, Finset.mem_union_right _ f.2.2.2.1, f.2.2.2.2⟩ refine ⟨⟨A.1 ⊔ B.1, A.2.image ιA ⊔ B.2.image ιB⟩, ?_, ?_⟩ · rintro u hu f hf have : ιA f ∈ A.2.image ιA ⊔ B.2.image ιB := by apply Finset.mem_union_left rw [Finset.mem_image] exact ⟨f, hf, rfl⟩ exact hu this · rintro u hu f hf have : ιB f ∈ A.2.image ιA ⊔ B.2.image ιB := by apply Finset.mem_union_right rw [Finset.mem_image] exact ⟨f, hf, rfl⟩ exact hu this #align Top.partial_sections.directed TopCat.partialSections.directed
Mathlib/Topology/Category/TopCat/Limits/Konig.lean
107
124
theorem partialSections.closed [∀ j : J, T2Space (F.obj j)] {G : Finset J} (H : Finset (FiniteDiagramArrow G)) : IsClosed (partialSections F H) := by
have : partialSections F H = ⋂ (f : FiniteDiagramArrow G) (_ : f ∈ H), {u | F.map f.2.2.2.2 (u f.1) = u f.2.1} := by ext1 simp only [Set.mem_iInter, Set.mem_setOf_eq] rfl rw [this] apply isClosed_biInter intro f _ -- Porting note: can't see through forget have : T2Space ((forget TopCat).obj (F.obj f.snd.fst)) := inferInstanceAs (T2Space (F.obj f.snd.fst)) apply isClosed_eq -- Porting note: used to be a single `continuity` that closed both goals · exact (F.map f.snd.snd.snd.snd).continuous.comp (continuous_apply f.fst) · continuity
16
import Mathlib.RingTheory.AdjoinRoot import Mathlib.FieldTheory.Minpoly.Field import Mathlib.RingTheory.Polynomial.GaussLemma #align_import field_theory.minpoly.is_integrally_closed from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open scoped Classical Polynomial open Polynomial Set Function minpoly namespace minpoly variable {R S : Type*} [CommRing R] [CommRing S] [IsDomain R] [Algebra R S] section variable (K L : Type*) [Field K] [Algebra R K] [IsFractionRing R K] [CommRing L] [Nontrivial L] [Algebra R L] [Algebra S L] [Algebra K L] [IsScalarTower R K L] [IsScalarTower R S L] variable [IsIntegrallyClosed R] theorem isIntegrallyClosed_eq_field_fractions [IsDomain S] {s : S} (hs : IsIntegral R s) : minpoly K (algebraMap S L s) = (minpoly R s).map (algebraMap R K) := by refine (eq_of_irreducible_of_monic ?_ ?_ ?_).symm · exact ((monic hs).irreducible_iff_irreducible_map_fraction_map).1 (irreducible hs) · rw [aeval_map_algebraMap, aeval_algebraMap_apply, aeval, map_zero] · exact (monic hs).map _ #align minpoly.is_integrally_closed_eq_field_fractions minpoly.isIntegrallyClosed_eq_field_fractions theorem isIntegrallyClosed_eq_field_fractions' [IsDomain S] [Algebra K S] [IsScalarTower R K S] {s : S} (hs : IsIntegral R s) : minpoly K s = (minpoly R s).map (algebraMap R K) := by let L := FractionRing S rw [← isIntegrallyClosed_eq_field_fractions K L hs, algebraMap_eq (IsFractionRing.injective S L)] #align minpoly.is_integrally_closed_eq_field_fractions' minpoly.isIntegrallyClosed_eq_field_fractions' end variable [IsDomain S] [NoZeroSMulDivisors R S] variable [IsIntegrallyClosed R]
Mathlib/FieldTheory/Minpoly/IsIntegrallyClosed.lean
75
92
theorem isIntegrallyClosed_dvd {s : S} (hs : IsIntegral R s) {p : R[X]} (hp : Polynomial.aeval s p = 0) : minpoly R s ∣ p := by
let K := FractionRing R let L := FractionRing S let _ : Algebra K L := FractionRing.liftAlgebra R L have := FractionRing.isScalarTower_liftAlgebra R L have : minpoly K (algebraMap S L s) ∣ map (algebraMap R K) (p %ₘ minpoly R s) := by rw [map_modByMonic _ (minpoly.monic hs), modByMonic_eq_sub_mul_div] · refine dvd_sub (minpoly.dvd K (algebraMap S L s) ?_) ?_ · rw [← map_aeval_eq_aeval_map, hp, map_zero] rw [← IsScalarTower.algebraMap_eq, ← IsScalarTower.algebraMap_eq] apply dvd_mul_of_dvd_left rw [isIntegrallyClosed_eq_field_fractions K L hs] exact Monic.map _ (minpoly.monic hs) rw [isIntegrallyClosed_eq_field_fractions _ _ hs, map_dvd_map (algebraMap R K) (IsFractionRing.injective R K) (minpoly.monic hs)] at this rw [← modByMonic_eq_zero_iff_dvd (minpoly.monic hs)] exact Polynomial.eq_zero_of_dvd_of_degree_lt this (degree_modByMonic_lt p <| minpoly.monic hs)
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